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Search Results (795)

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Keywords = non-alcoholic steatohepatitis (NASH)

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16 pages, 457 KiB  
Article
Association Between Sociodemographic Variables, Healthy Habits, and Stress with Risk Scales for Liver Disease Associated with Metabolic Dysfunction
by Ángel Arturo López-González, Emilio Martínez-Almoyna Rifá, Hernán Paublini Oliveira, Cristina Martorell Sánchez, Pedro Juan Tárraga López and José Ignacio Ramírez-Manent
Life 2025, 15(1), 116; https://doi.org/10.3390/life15010116 - 16 Jan 2025
Viewed by 437
Abstract
Metabolic dysfunction-associated fatty liver disease (MAFLD) is the most common cause of chronic liver disease worldwide, with a multifactorial etiology. This study aims to evaluate the associations between various sociodemographic variables, healthy habits, and stress with risk scale values for MAFLD. Materials and [...] Read more.
Metabolic dysfunction-associated fatty liver disease (MAFLD) is the most common cause of chronic liver disease worldwide, with a multifactorial etiology. This study aims to evaluate the associations between various sociodemographic variables, healthy habits, and stress with risk scale values for MAFLD. Materials and Methods: A descriptive, cross-sectional study was conducted on 16,708 Spanish workers to assess how sociodemographic variables (age, gender, and socioeconomic status), healthy habits (smoking, Mediterranean diet adherence, and physical activity), and stress correlate with values from three MAFLD risk scales: fatty liver index (FLI), hepatic steatosis index (HSI), and lipid accumulation product (LAP). Results: All analyzed variables were associated with the values of the three MAFLD risk scales. Among them, the variables showing the strongest associations (represented by odds ratio values) were age and physical activity. Conclusions: The profile of an individual at higher risk of elevated MAFLD risk scale values is a male, aged 50 or older, belonging to lower socioeconomic levels (manual laborers), a smoker, sedentary, with low adherence to the Mediterranean diet, and with high stress scale scores. Full article
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<p>Flowchart for worker inclusion in the study.</p>
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14 pages, 6567 KiB  
Article
Unraveling the Beneficial Role of Resveratrol in Fructose-Induced Non-Alcoholic Steatohepatitis with a Focus on the AMPK/Nrf2 Signaling Axis
by Soha S. Zakaria and Safaa M. Hanafy
Medicina 2025, 61(1), 139; https://doi.org/10.3390/medicina61010139 - 16 Jan 2025
Viewed by 449
Abstract
Background and Objectives: High fructose intake is associated with non-alcoholic fatty liver disease (NAFLD), a chronic liver disease that is on the rise worldwide. New alternatives for treatment, such as bioactive phytochemicals, are needed. The aim of this study was to investigate [...] Read more.
Background and Objectives: High fructose intake is associated with non-alcoholic fatty liver disease (NAFLD), a chronic liver disease that is on the rise worldwide. New alternatives for treatment, such as bioactive phytochemicals, are needed. The aim of this study was to investigate the beneficial role of resveratrol in treating non-alcoholic steatohepatitis (NASH). Materials and Methods: Sixty male albino rats were allocated to three groups: group I, the normal control group; group II, the fructose-enriched diet group (FED), which was fed a 70% fructose diet for six weeks to induce NASH; and group III, the resveratrol–FED group (RES + FED), which was given the same FED diet plus an oral dose of 70 mg/kg resveratrol (RES) every day for an additional six weeks. We performed histological evaluations and assessed blood lipids and liver enzymes to study resveratrol’s impact on NASH. Quantitative real-time PCR was used to assess the mRNA expression of nuclear factor E2-related factor 2 (Nrf2) in the liver samples. ELISA was used to measure Beclin 1, AMPK, IL-6, and the DNA-binding activity of Nrf2. Oxidative stress indicators, including GSH, SOD, and MDA, were evaluated spectrophotometrically. Results: Resveratrol effectively alleviated the biochemical and histopathological abnormalities associated with NASH, improving autophagy by raising Beclin 1 levels while reducing inflammation by decreasing IL-6 levels. Furthermore, resveratrol restored the liver architecture and the oxidative balance, as evidenced by the decreased MDA levels and improved antioxidant status via elevated GSH and SOD activities, as well as the activation of the AMPK/Nrf2 signaling axis. Conclusions: This study specifically examines resveratrol’s therapeutic effects in a high-fructose diet-induced NASH model, focusing on the AMPK/Nrf2 signaling pathway to address oxidative stress and autophagy, providing novel insights into its molecular mechanism of action. Resveratrol reduces NASH by boosting autophagy and activating the AMPK/Nrf2 pathway. These findings underscore the potential of resveratrol as a promising therapeutic agent that can support treatment alongside conventional medications in the management of non-alcoholic steatohepatitis (NASH). Full article
(This article belongs to the Section Pharmacology)
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<p>Light microscopy of liver sections from adult male rats from groups I–III. Panel (<b>A</b>,<b>D</b>) represents group I (control group). Panel (<b>B</b>,<b>E</b>) represents group II (FED group). Panel (<b>C</b>,<b>F</b>) represents group III (RES + FED group). (<b>A</b>) Hepatocytes (H) are arranged in cords radiating from the central vein (CV) and are separated by the blood sinusoids (S), which are lined by flat endothelial cells (E) and von Kupffer cells (K). (<b>B</b>) Hepatic cords are not radially arranged around the central vein (CV). They are separated by blood sinusoids (S). Most hepatocytes have vacuolated cytoplasm (V) with displaced nuclei, and some of their nuclei are small and deeply stained (P). (<b>C</b>) Anastomosing hepatic cords radiating from the central vein (CV). The blood sinusoids (S) are lined by flat endothelial cells (E) and von Kupffer cells (K). Most hepatocytes appear normal (H). Few focal areas of vacuolated hepatocytes (V). (<b>D</b>) Branches of the portal vein (PV) and the bile duct (BD) are shown. The hepatocytes (H) are separated by blood sinusoids (S), which are lined by flat endothelial cells (E) and von Kupffer cells (K). (<b>E</b>) Most hepatocytes around the portal vein (PV) have vacuolated cytoplasm (V) with displaced nuclei. Some nuclei are small and deeply stained (P). The hepatocytes are separated by blood sinusoids (S). Lymphocytic infiltration of the portal tract was observed (In). (<b>F</b>) Anastomosing hepatic cords, portal vein (PV), bile duct (BD), and blood sinusoids (S), which are lined by flat endothelial cells (E) and von Kupffer cells (K). Most hepatocytes appear normal (H). Few focal areas of vacuolated hepatocytes (V). All panels were stained with hematoxylin and eosin and originally viewed at ×400 magnification.</p>
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<p>Light microscopy of liver sections of adult male rats from groups I–III. Panel (<b>A</b>) represents group I (control). Panel (<b>B</b>) represents group II (FED group). Panel (<b>C</b>) represents group III (RES + FED group). (<b>A</b>) Normal distribution of collagen fibers around the portal tract (PT). (<b>B</b>) A marked increase in collagen fiber distribution is seen around the elements of the portal tract (PT). (<b>C</b>) A mild increase in the level of collagen fiber distribution is seen around the elements of the portal tract (PT). All panels were stained with Masson’s trichrome and originally viewed at ×400 magnification.</p>
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<p>Schematic summary of the proposed protective roles of resveratrol through the induction of AMPK/Nrf2 in non-alcoholic steatohepatitis. The classical understanding is that Nrf2 coordinates the elimination of ROS and electrophiles derived from lipid peroxidation, thus preventing hepatocellular oxidative stress and mitochondrial dysfunction. In addition, there is growing evidence in the literature that Nrf2 regulates fatty acid metabolism by repressing genes that promote lipid accumulation in hepatocytes. AMPK induction by resveratrol also activates autophagy that lowers hepatic lipid load via lipophagy, eliminates dysfunctional mitochondria, and hence reduces the ROS level. <span class="html-italic">Resveratrol</span> → <span class="html-italic">KEAP1</span>: Inhibits KEAP1, activating NRf2. <span class="html-italic">KEAP1</span> → <span class="html-italic">NRf2</span>: KEAP1 suppresses NRf2; Resveratrol removes this suppression. <span class="html-italic">NRf2</span> → <span class="html-italic">Antioxidant</span>: Increases antioxidant gene expression. <span class="html-italic">Antioxidant</span> → <span class="html-italic">Oxidative Stress</span>: Antioxidants reduce oxidative stress. <span class="html-italic">Oxidative Stress</span> → <span class="html-italic">NASH</span>: Promotes liver damage leading to NASH. <span class="html-italic">Oxidative Stress</span> → <span class="html-italic">Inflammation</span>: Stimulates inflammatory cytokines like IL-6. <span class="html-italic">Inflammation</span> → <span class="html-italic">NASH:</span> Chronic inflammation worsens NASH. <span class="html-italic">Resveratrol</span> → <span class="html-italic">AMPK</span>: Activates AMPK, regulating energy metabolism. <span class="html-italic">AMPK</span> → <span class="html-italic">Lipid Metabolism</span>: Enhances lipolysis, reduces lipid and cholesterol. <span class="html-italic">AMPK</span> → <span class="html-italic">mTOR:</span> Suppresses mTOR, reducing lipid synthesis. <span class="html-italic">AMPK</span> → <span class="html-italic">Autophagy</span>: Promotes autophagy, reducing lipid accumulation. <span class="html-italic">Autophagy</span> → <span class="html-italic">Lipogenesis</span>: Decreases lipogenesis and triacylglycerol. <span class="html-italic">Lipogenesis</span> → <span class="html-italic">Steatosis</span>: Excess lipids lead to steatosis. <span class="html-italic">Steatosis</span> → <span class="html-italic">NASH</span>: Steatosis progresses to NASH with inflammation.</p>
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30 pages, 2335 KiB  
Review
Gut Microbiome Modulation in Hepatocellular Carcinoma: Preventive Role in NAFLD/NASH Progression and Potential Applications in Immunotherapy-Based Strategies
by Elisa Monti, Clara Vianello, Ilaria Leoni, Giuseppe Galvani, Annalisa Lippolis, Federica D’Amico, Sara Roggiani, Claudio Stefanelli, Silvia Turroni and Francesca Fornari
Cells 2025, 14(2), 84; https://doi.org/10.3390/cells14020084 - 9 Jan 2025
Viewed by 597
Abstract
Hepatocellular carcinoma (HCC) is a heterogeneous tumor associated with several risk factors, with non-alcoholic fatty liver disease (NAFLD) emerging as an important cause of liver tumorigenesis. Due to the obesity epidemics, the occurrence of NAFLD has significantly increased with nearly 30% prevalence worldwide. [...] Read more.
Hepatocellular carcinoma (HCC) is a heterogeneous tumor associated with several risk factors, with non-alcoholic fatty liver disease (NAFLD) emerging as an important cause of liver tumorigenesis. Due to the obesity epidemics, the occurrence of NAFLD has significantly increased with nearly 30% prevalence worldwide. HCC often arises in the background of chronic liver disease (CLD), such as nonalcoholic steatohepatitis (NASH) and cirrhosis. Gut microbiome (GM) alterations have been linked to NAFLD progression and HCC development, with several investigations reporting a crucial role for the gut–liver axis and microbial metabolites in promoting CLD. Moreover, the GM affects liver homeostasis, energy status, and the immune microenvironment, influencing the response to immunotherapy with interesting therapeutic implications. In this review, we summarize the main changes in the GM and derived metabolites (e.g., short-chain fatty acids and bile acids) occurring in HCC patients and influencing NAFLD progression, emphasizing their potential as early diagnostic biomarkers and prognostic tools. We discuss the weight loss effects of diet-based interventions and healthy lifestyles for the treatment of NAFLD patients, highlighting their impact on the restoration of the intestinal barrier and GM structure. We also describe encouraging preclinical findings on the modulation of GM to improve liver functions in CLD, boost the antitumor immune response (e.g., probiotic supplementations or anti-hypercholesterolemic drug treatment), and ultimately delay NAFLD progression to HCC. The development of safe and effective strategies that target the gut–liver axis holds promise for liver cancer prevention and treatment, especially if personalized options will be considered. Full article
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<p>Mechanisms by which the gut microbiome promotes or hinders the progression of HCC. On the left, the mechanisms associated with HCC suppression are characterized by the presence of an eubiotic gut microbiome (GM) profile, enriched in beneficial microbes and capable of producing short-chain fatty acids (SCFAs), which enhance intestinal epithelial integrity and promote apoptosis of tumor cells via reactive oxygen species (ROS), as well as reduced levels of tumor-promoting metabolites such as secondary bile acids and microbe-associated molecular patterns (MAMPs), leading to reduced hepatic inflammation and fibrosis. This environment is characterized by a decrease in inflammatory macrophages and an increase in effector CD8+ T cells, fostering an anti-tumor immune response. On the right, the mechanisms that promote HCC progression are summarized. Gut dysbiosis, reduced ability to produce SCFAs, and increased intestinal permeability (“leaky gut”) may lead to increased generation and translocation of tumor-promoting metabolites, such as secondary bile acids. Dysbiosis also heightens hepatic exposure to gut-derived MAMPs and pathogen-associated molecular patterns (PAMPs), which drive hepatic inflammation, fibrosis, and cell proliferation. This pro-tumor environment is further characterized by an increase in macrophages, monocytic myeloid-derived suppressor cells, and a reduction in CD8+ T cells, contributing to immune evasion. “The figure was partly generated using Servier Medical Art provided by Servier, licensed under a Creative Commons Attribution 4.0 unported license”.</p>
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<p>Healthy lifestyles and gut microbiome modulation concur to reduce NAFLD progression to NASH by reducing steatosis and improving markers of hepatic damage. HFC: hepatic fat content; BAs: bile acids; SCFA: short-chain fatty acids; MD: Mediterranean diet; ZO-1: zonulin-1; PUFA: polyunsaturated fatty acids; FMT: fecal microbiota transplantation. Numbers preceded by “#” indicate the reference article.</p>
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<p>Modulating gut microbiome by probiotics and postbiotics or Atorvastatin reduces NAFLD progression to HCC in animal models of NAFLD/NASH-HCC. STZ: streptozotocin; HFD: high-fat diet; IL-6: interleukin 6; TNF-α: tumor necrosis factor α; NKT cells: natural killer T cells; HDAC: histone deacetylase; DEN: diethyl nitrosamine; HFHC: high-fat high-cholesterol; CD-HFD: choline-deficient high fat diet; JAK1: Janus kinase 1; STAT3: signal transducer and activator of transcription 3; FMT: fecal microbiota transplantation. Numbers preceded by “#” indicate the reference article.</p>
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<p><span class="html-italic">Akkermansia muciniphila</span> reduces HCC progression and improves ICI treatment response in HCC patients and mouse models. ALT: alanine transaminase; AST: aspartate transferase; TGF- β: transforming growth factor β; Col1a1: Collagen type I alpha 1 chain; Mcp1: Monocyte chemoattractant protein-1; Tlr4: Toll-like receptor 4; NEMO<sup>Δhepa</sup>: steatohepatitis-HCC mouse model with NEMO gene deletion; ICI: immune checkpoint inhibitors; PD-L1: programmed cell death ligand 1; INF-γ: interferon γ; BAs: bile acids; PD1: programmed cell death protein 1. Numbers preceded by “#” indicate the reference article.</p>
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28 pages, 695 KiB  
Review
NAFLD and NAFLD Related HCC: Emerging Treatments and Clinical Trials
by Tripti Khare, Karina Liu, Lindiwe Oslee Chilambe and Sharad Khare
Int. J. Mol. Sci. 2025, 26(1), 306; https://doi.org/10.3390/ijms26010306 - 1 Jan 2025
Viewed by 1034
Abstract
Nonalcoholic fatty liver disease (NAFLD), recently renamed metabolic-associated fatty liver disease (MAFLD), is the most prevalent liver disease worldwide. It is associated with an increased risk of developing hepatocellular carcinoma (HCC) in the background of cirrhosis or without cirrhosis. The prevalence of NAFLD-related [...] Read more.
Nonalcoholic fatty liver disease (NAFLD), recently renamed metabolic-associated fatty liver disease (MAFLD), is the most prevalent liver disease worldwide. It is associated with an increased risk of developing hepatocellular carcinoma (HCC) in the background of cirrhosis or without cirrhosis. The prevalence of NAFLD-related HCC is increasing all over the globe, and HCC surveillance in NAFLD cases is not that common. In the present review, we attempt to summarize promising treatments and clinical trials focused on NAFLD, nonalcoholic steatohepatitis (NASH), and HCC in the past five to seven years. We categorized the trials based on the type of intervention. Most of the trials are still running, with only a few completed and with conclusive results. In clinical trial NCT03942822, 25 mg/day of milled chia seeds improved NAFLD condition. Completed trial NCT03524365 concluded that Rouxen-Y gastric bypass (RYGB) or sleeve gastrectomy (SG) results in histological resolution of NASH without worsening of fibrosis, while NCT04677101 validated sensitivity/accuracy of blood biomarkers in predicting NASH and fibrosis stage. Moreover, trials with empagliflozin (NCT05694923), curcuvail (NCT06256926), and obeticholic acid (NCT03439254) were completed but did not provide conclusive results. However, trial NCT03900429 reported effective improvement in fibrosis by at least one stage, without worsening of NAFLD activity score (NAS), as well as improvement in lipid profile of the NASH patients by 80 or 100 mg MGL-3196 (resmetirom). Funded by Madrigal Pharmaceuticals, Rezdiffra (resmetirom), used in the clinical trial NCT03900429, is the first FDA-approved drug for the treatment of NAFLD/NASH. Full article
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<p>Disease progression of a healthy liver to HCC. Stages of progression of a healthy liver to HCC: The liver first experiences steatosis where fat cells become abundant, followed by fibrosis, where fibroblasts and collagen form large amounts of scar tissue; and ultimately, cirrhosis, where necrosis appears in addition to the fat cells and scar tissue, leading to cirrhotic HCC, where tumor cells are formed. Non-cirrhotic HCC can also occur after steatosis with the formation of tumor cells.</p>
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12 pages, 6235 KiB  
Article
Hepatic Steatosis Analysis in Metabolic Dysfunction-Associated Steatotic Liver Disease Based on Artificial Intelligence
by Xiao-Xiao Wang, Yu-Yun Song, Rui Jin, Zi-Long Wang, Xiao-He Li, Qiang Yang, Xiao Teng, Fang-Fang Liu, Nan Wu, Yan-Di Xie, Hui-Ying Rao and Feng Liu
Diagnostics 2024, 14(24), 2889; https://doi.org/10.3390/diagnostics14242889 - 23 Dec 2024
Viewed by 638
Abstract
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by the accumulation of fat in the liver, excluding excessive alcohol consumption and other known causes of liver injury. Animal models are often used to explore different pathogenic mechanisms and therapeutic targets of MASLD. [...] Read more.
Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by the accumulation of fat in the liver, excluding excessive alcohol consumption and other known causes of liver injury. Animal models are often used to explore different pathogenic mechanisms and therapeutic targets of MASLD. The aim of this study is to apply an artificial intelligence (AI) system based on second-harmonic generation (SHG)/two-photon-excited fluorescence (TPEF) technology to automatically assess the dynamic patterns of hepatic steatosis in MASLD mouse models. Methods: We evaluated the characteristics of hepatic steatosis in mouse models of MASLD using AI analysis based on SHG/TPEF images. Six different models of MASLD were induced in C57BL/6 mice by feeding with a western or high-fat diet, with or without fructose in their drinking water, and/or by weekly injections of carbon tetrachloride. Results: Body weight, serum lipids, and liver enzyme markers increased at 8 and 16 weeks in each model compared to baseline. Steatosis grade showed a steady upward trend. However, the non-alcoholic steatohepatitis (NASH) Clinical Research Network (CRN) histological scoring method detected no significant difference between 8 and 16 weeks. In contrast, AI analysis was able to quantify dynamic changes in the area, number, and size of hepatic steatosis automatically and objectively, making it more suitable for preclinical MASLD animal experiments. Conclusions: AI recognition technology may be a new tool for the accurate diagnosis of steatosis in MASLD, providing a more precise and objective method for evaluating steatosis in preclinical murine MASLD models under various experimental and treatment conditions. Full article
(This article belongs to the Special Issue Artificial Intelligence in Metabolic Diseases)
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<p>Flowchart of the imaging process and detection of fat vacuoles. (<b>A</b>) Images of unstained liver tissue samples were obtained using an SHG/TPEF imaging device (Genesis <sup>®</sup> 200). (<b>B</b>) All holes in the input images were detected in the TPE channel and classified using a pre-trained decision tree.</p>
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<p>Average body weight (<b>A</b>) and liver weight-to-body weight ratio (<b>B</b>) of the control group and six MASLD mouse models at different time points (0, 8, and 16 weeks; <span class="html-italic">n</span> = 5 at each time point). Note: *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001; w, week; CCl4, Carbon tetrachloride; WD, Western diet; WDF, WD with high-fructose drinking water; WDF + CCl<sub>4</sub>, WDF plus intraperitoneal injection of CCl<sub>4</sub>; HFD, high-fat diet; HFDF, HFD with high-fructose drinking water; HFDF + CCl<sub>4</sub>, HFD plus intraperitoneal injection of CCl<sub>4</sub>.</p>
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<p>Serum levels of ALT (<b>A</b>), AST (<b>B</b>), cholesterol (CHO) (<b>C</b>), and low-density lipoprotein (LDL) (<b>D</b>) at different time points (0, 8, and 16 weeks) in the control group and six MASLD mouse models (<span class="html-italic">n</span> = 5 at each time point). Note: *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ****, <span class="html-italic">p</span> &lt; 0.0001; w, week; CCl<sub>4</sub>, Carbon tetrachloride; WD, Western diet; WDF, WD with high-fructose drinking water; WDF + CCl<sub>4</sub>, WDF plus intraperitoneal injection of CCl<sub>4</sub>; HFD, high-fat diet; HFDF, HFD with high-fructose drinking water; HFDF + CCl<sub>4</sub>, HFD plus intraperitoneal injection of CCl<sub>4</sub>.</p>
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<p>Representative images of H and E staining and SHG/TPEF at 8 and 16 weeks in the control group and six MASLD mouse models. In the H and E staining image, the percentages of vacuole area were shown as the percentages of steatosis, while in the SHG/TPEF image, the red channel represents TPEF, and the green channel represents SHG (collagen structure); the percentages of black fat vacuoles and surrounding affected areas were identified as the percentages of steatosis. H and E, Hematoxylin and eosin; SHG/TPEF, second-harmonic generation/two-photon-excited fluorescence; w, week; CCl<sub>4</sub>, Carbon tetrachloride; WD, Western diet; WDF, WD with high-fructose drinking water; WDF + CCl<sub>4</sub>, WDF plus intraperitoneal injection of CCl<sub>4</sub>; HFD, high-fat diet; HFDF, HFD with high-fructose drinking water; HFDF + CCl<sub>4</sub>, HFD plus intraperitoneal injection of CCl<sub>4</sub>; Bar: 200 μm.</p>
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<p>Steatosis quantification in the control group and six MASLD mouse model groups at different time points (0, 8, and 16 weeks). Quantitative parameters of steatosis (fat vacuoles and affected cell area) based on SHG/TPEF images. Note: *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001; ****, <span class="html-italic">p</span> &lt; 0.0001; the number of samples in each group was 5; w, week; CCl<sub>4</sub>, Carbon tetrachloride; WD, Western diet; WDF, WD with high-fructose drinking water; WDF + CCl<sub>4</sub>, WDF plus intraperitoneal injection of CCl<sub>4</sub>; HFD, high-fat diet; HFDF, HFD with high-fructose drinking water; HFDF + CCl<sub>4</sub>, HFD plus intraperitoneal injection of CCl<sub>4</sub>.</p>
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<p>Fat vacuole distribution at different time points (0, 8, and 16 weeks) among the control group and six MASLD mouse models. The x-axis represents the diameter of the fat vacuoles (µm), whereas the y-axis represents the number of fat vacuoles per unit area (mm<sup>2</sup>), corresponding to the diameter of the fat vacuoles. Note: The comparison between different weeks of the same model is based on the difference in fat vacuole distribution according to their diameter per unit area. The <span class="html-italic">p</span>-value of the KS test is shown in the figure. w, week; CCl<sub>4</sub>, Carbon tetrachloride; WD, Western diet; WDF, WD with high-fructose drinking water; WDF + CCl<sub>4</sub>, WDF plus intraperitoneal injection of CCl<sub>4</sub>; HFD, high-fat diet; HFDF, HFD with high-fructose drinking water; HFDF + CCl<sub>4</sub>, HFD plus intraperitoneal injection of CCl<sub>4</sub>.</p>
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10 pages, 620 KiB  
Systematic Review
MRI-PDFF Assessment of Intrahepatic Fat Changes Post-Bariatric Surgery: A Systematic Literature Review
by Danut Dejeu, Paula Dejeu, Anita Muresan, Paula Bradea and Viorel Dejeu
Medicina 2024, 60(12), 2003; https://doi.org/10.3390/medicina60122003 - 4 Dec 2024
Viewed by 722
Abstract
Background and Objectives: Non-alcoholic fatty liver disease (NAFLD) is prevalent among obese individuals and can progress to non-alcoholic steatohepatitis (NASH). Bariatric surgery is known to induce significant weight loss and may improve NAFLD. This systematic review uniquely synthesizes current evidence on the [...] Read more.
Background and Objectives: Non-alcoholic fatty liver disease (NAFLD) is prevalent among obese individuals and can progress to non-alcoholic steatohepatitis (NASH). Bariatric surgery is known to induce significant weight loss and may improve NAFLD. This systematic review uniquely synthesizes current evidence on the effects of bariatric surgery on intrahepatic fat content, measured by magnetic resonance imaging proton density fat fraction (MRI-PDFF), and assesses study quality using the Newcastle–Ottawa Scale (NOS). Materials and Methods: The literature search was conducted across the PubMed, Scopus, and Web of Science databases up to October 2024, identifying 12 prospective cohort studies involving 613 patients who underwent bariatric surgery. Inclusion criteria included adult patients with NAFLD undergoing bariatric surgery, assessment of liver fat changes using MRI-PDFF before and after surgery, and studies reporting quantitative data on liver fat fraction and relevant clinical parameters. Data extraction focused on patient demographics, surgical procedures, specific weight loss outcomes (delta BMI), changes in intrahepatic fat content (delta MRI-PDFF), and quality assessment scores based on the NOS. Results: Significant reductions in intrahepatic fat content were observed across all studies, with delta MRI-PDFF reductions ranging from 6.9% to 14%. Weight loss outcomes varied, with excess weight loss percentages up to 81.3% and BMI reductions up to 12 kg/m². The quality assessment scores ranged from six to nine out of nine, indicating generally high-quality studies. Correlations were noted between the degree of weight loss and reduction in liver fat content. Several studies reported high rates of resolution of steatosis and NASH post-operatively. Conclusions: Bariatric surgery leads to significant reductions in intrahepatic fat content and improvements in NAFLD among obese patients. The degree of weight loss correlates with the reduction in liver fat. These findings underscore the clinical utility of bariatric surgery as a strategic intervention for managing NAFLD in obese individuals, potentially influencing clinical practice guidelines by integrating bariatric surgery as a viable treatment option for NAFLD-related hepatic conditions. Full article
(This article belongs to the Section Surgery)
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<p>PRISMA flow diagram.</p>
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17 pages, 8205 KiB  
Review
Metabolic Dysfunction-Associated Steatotic Liver Disease in Chronic Hepatitis C Virus Infection: From Basics to Clinical and Nutritional Management
by Karina Gonzalez-Aldaco, Luis A. Torres-Reyes, Claudia Ojeda-Granados, Leonardo Leal-Mercado, Sonia Roman and Arturo Panduro
Clin. Pract. 2024, 14(6), 2542-2558; https://doi.org/10.3390/clinpract14060200 - 24 Nov 2024
Viewed by 1541
Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely associated with obesity and other cardiometabolic risk factors. MASLD has rapidly become the most common cause of liver disease worldwide, currently affecting 38% of the global population. Excess weight causes chronic inflammation and the activation [...] Read more.
Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely associated with obesity and other cardiometabolic risk factors. MASLD has rapidly become the most common cause of liver disease worldwide, currently affecting 38% of the global population. Excess weight causes chronic inflammation and the activation of different pathways involved in liver damage. MASLD can progress from simple steatosis to steatohepatitis, giving way to its inflammatory component, metabolic dysfunction-associated steatohepatitis (MASH), previously recognized as non-alcoholic steatosis hepatitis (NASH). Chronic hepatitis C virus (HCV) infection remains a significant challenge to liver health as it triggers hepatic inflammation, metabolic disruption, and hepatic steatosis. The convergence of MASLD and chronic HCV infection can significantly alter the course of liver disease and accelerate the progression to severe liver damage. Currently, HCV treatment has a high cure rate. However, in patients who achieve a sustained virological response after treatment with direct-acting antivirals, weight gain, and excessive calorie intake may contribute to increased liver steatosis and a higher risk of liver disease progression. Therefore, the effective clinical and nutritional management of HCV patients, both before and after viral eradication, is crucial to reducing the risk of death from hepatocellular carcinoma. Understanding the complex interactions between MASLD and HCV infection is crucial for managing these patients appropriately. Herein, host and viral mechanisms inducing liver damage during the coexistence of MASLD and HCV infection are described, and their therapeutic and dietary management are discussed. Full article
(This article belongs to the Special Issue Clinical Nutrition in Metabolic Disorders)
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<p>Mechanisms linking MASLD to liver damage during HCV infection. Hypertrophic adipocytes during obesity produce adipokines and other factors that promote intra- and extrahepatic low-grade inflammation. In conjunction with viral proteins, low-grade inflammation accelerates liver damage progression during the coexistence of MASLD+ HCV. The genes involved in MASLD development during HCV infection are highlighted in blue. The arrows with a regular tip represent induction, while the arrows with a blunt tip represent inhibition. The dotted arrow indicates an impaired mechanism effect.</p>
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<p>Impact of MASLD on the natural history of HCV infection and after DAA treatment. The concurrence of MASLD and chronic HCV affects the natural history of HCV infection, accelerating the occurrence of advanced stages of liver damage. High BMI during and after treatment is associated with less SVR and no improvements in fibrosis grade. DAA effects on liver steatosis and metabolism significantly increase the risk of HCC even after SVR.</p>
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<p>Antiviral effect of nutrients against HCV infection. Polyunsaturated fatty acids (PUFAs) inhibit the formation of the membranous web necessary for successful HCV replication in vitro, thus reducing viral RNA replication and virus production. Gallic acid downregulates the expression of NS5A HCV protein required for HCV replication and decreases the ROS derivates from HCV infection in vitro. Vitamin B12 inhibits HCV internal ribosome entry site (IRES), essential for HCV translation, thus limiting HCV persistence in vitro. Vitamin E reduces TNFα and IL-6, suggesting an anti-inflammatory effect. Vitamins A and D induce the transcription of type-1 IFNs, enhancing the effect of IFN on HCV. Iron Inhibits NS5B polymerase activity in vitro. Zinc reduces HCV replication in vitro. On the contrary, saturated fatty acids (SFA) are necessary for HCV replication. Hepatic copper increases hepatic fibrosis and correlates positively with type IV collagen.</p>
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26 pages, 2834 KiB  
Article
Hybrid Deep Learning and Machine Learning for Detecting Hepatocyte Ballooning in Liver Ultrasound Images
by Fahad Alshagathrh, Mahmood Alzubaidi, Samuel Gecík, Khalid Alswat, Ali Aldhebaib, Bushra Alahmadi, Meteb Alkubeyyer, Abdulaziz Alosaimi, Amani Alsadoon, Maram Alkhamash, Jens Schneider and Mowafa Househ
Diagnostics 2024, 14(23), 2646; https://doi.org/10.3390/diagnostics14232646 - 24 Nov 2024
Viewed by 716
Abstract
Background: Hepatocyte ballooning (HB) is a significant histological characteristic linked to the advancement of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). Although clinicians now consider liver biopsy the most reliable method for identifying HB, its invasive nature and related dangers highlight [...] Read more.
Background: Hepatocyte ballooning (HB) is a significant histological characteristic linked to the advancement of non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH). Although clinicians now consider liver biopsy the most reliable method for identifying HB, its invasive nature and related dangers highlight the need for the development of non-invasive diagnostic options. Objective: This study aims to develop a novel methodology that combines deep learning and machine learning techniques to accurately identify and measure hepatobiliary abnormalities in liver ultrasound images. Methods: The research team expanded the dataset, consisting of ultrasound images, and used it for training deep convolutional neural networks (CNNs) such as InceptionV3, ResNet50, DenseNet121, and EfficientNetB0. A hybrid approach, combining InceptionV3 for feature extraction with a Random Forest classifier, emerged as the most accurate and stable method. An approach of dual dichotomy classification was used to categorize images into two stages: healthy vs. sick, and then mild versus severe ballooning.. Features obtained from CNNs were integrated with conventional machine learning classifiers like Random Forest and Support Vector Machines (SVM). Results: The hybrid approach achieved an accuracy of 97.40%, an area under the curve (AUC) of 0.99, and a sensitivity of 99% for the ‘Many’ class during the third phase of evaluation. The dual dichotomy classification enhanced the sensitivity in identifying severe instances of HB. The cross-validation process confirmed the strength and reliability of the suggested models. Conclusions: These results indicate that this combination method can decrease the need for invasive liver biopsies by providing a non-invasive and precise alternative for early identification and monitoring of NAFLD and NASH. Subsequent research will prioritize the validation of these models using larger datasets from multiple centers to evaluate their generalizability and incorporation into clinical practice. Full article
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
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<p>Bar chart illustrating the class distribution in the initial and final datasets for hepatocyte ballooning detection. The chart shows the increase in sample sizes for each class (None, Few, and Many) after dataset expansion, highlighting the persistent class imbalance despite efforts to mitigate it.</p>
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<p>Visual representation of augmentation techniques applied to liver ultrasound images for hepatocyte ballooning detection. The figure shows original images (top row) and examples of offline (middle row) and online (bottom row) augmentations for each class (None, Few, and Many). Note the subtle variations introduced by each augmentation stage while preserving key diagnostic features.</p>
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<p>Training and validation loss curves for the InceptionV3 model across ten folds in HB detection. The blue line represents the mean validation loss, while the red line shows the mean training loss. Shaded areas indicate the range of losses across folds, demonstrating the model’s consistency and convergence behavior.</p>
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<p>Schematic diagram of the feature extraction process using InceptionV3 as a feature extractor. The top row illustrates the preprocessing steps, while the bottom row shows the feature extraction pipeline.</p>
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<p>Flowchart illustrating the dual dichotomy classification process. The process involves two stages: first distinguishing between Normal and Abnormal cases, then further classifying Abnormal cases into Few or Many balloon cells.</p>
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<p>Validation AUC curves for InceptionV3, ResNet50, DenseNet121, and EfficientNetB0. The graph shows the evolution of each model’s performance throughout the training process, with InceptionV3 demonstrating superior and more stable discriminative capability across epochs.</p>
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<p>Box plot showing the distribution of validation accuracies across ten folds for InceptionV3 and EfficientNetB0. The plot demonstrates the superior and more consistent performance of InceptionV3.</p>
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19 pages, 5045 KiB  
Article
PAMK Ameliorates Non-Alcoholic Steatohepatitis and Associated Anxiety/Depression-like Behaviors Through Restoring Gut Microbiota and Metabolites in Mice
by Jianmei Yang, Wanyi Ou, Guiru Lin, Yuanfei Wang, Dongliang Chen, Ze Zeng, Zumin Chen, Xiaomin Lu, Aiping Wu, Chenli Lin and Yinji Liang
Nutrients 2024, 16(22), 3837; https://doi.org/10.3390/nu16223837 - 8 Nov 2024
Cited by 1 | Viewed by 1471
Abstract
Objectives: Long-term Western diet-induced non-alcoholic steatohepatitis (NASH) can lead to liver cirrhosis and NASH-associated hepatocellular carcinoma, which are end-stage liver diseases. Meanwhile, NASH is associated with mental burden and worsens as the disease progresses. Atractylodes Macrocephala Koidz (AMK) is one of the main [...] Read more.
Objectives: Long-term Western diet-induced non-alcoholic steatohepatitis (NASH) can lead to liver cirrhosis and NASH-associated hepatocellular carcinoma, which are end-stage liver diseases. Meanwhile, NASH is associated with mental burden and worsens as the disease progresses. Atractylodes Macrocephala Koidz (AMK) is one of the main ingredients of Shenling Baizhu San, and the effect of Polysaccharide from AMK ameliorates (PAMK), as an important medicinal ingredient of AMK, on NASH and associated anxiety/depression-like behaviors is still unclear. Methods: This study investigated the protective effect of PAMK on NASH and associated anxiety/depression-like behaviors through a Western diet-induced NASH mice model. Results: showed that PAMK decreased the concentrations of liver TC, TG, and serum AST and ALT, improving glucose tolerance, and reducing liver steatosis and fibrosis. Moreover, the expression of liver IL-6, IL-1β, TNF-α, IL-18 and MCP-1 could be reduced by PAMK significantly. Additionally, PAMK decreased anxiety/depression-like behaviors and expression of IL-6, IL-1β, TNF-α, and MCP-1 in the hippocampus. 16S rRNA gene sequencing revealed that PAMK diminished the Firmicutes/Bacteroidetes ratio and abundance of Faecalibaculum_rodentium, and increased the abundance of Muribaculaceae. This might be related to gene abundance of Pentose, the glucuronate interconversions pathway and carbohydrate enzymes (GH1, GH4). Serum metabolomics suggested that PC (18:5e/2:0), PC (16:2e/2:0), Lysopc 20:4, PC (16:0/2:0), and LPC 19:0 upregulated significantly after PAMK intervention, together with the enrichment of carbon metabolism and Citrate cycle pathways specially. Conclusions: PAMK as a potential prebiotic ameliorated NASH and associated anxiety/depression-like behaviors in mice, probably by regulating Faecalibaculum_rodentium, carbohydrate enzymes and lipid metabolites. Full article
(This article belongs to the Section Prebiotics and Probiotics)
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<p>Effect of prebiotics-like PAMK on adiposity and blood glucose in NASH mice. (A) Animal experimental schedule; OFT, open field test; TST, tail suspension test; RT, rotarod test; FST, forced swimming test. (<b>B</b>) Weekly body weight of mice. * Indicates a significant alteration in body weight of ND and WDC by two-way ANOVA with Dunnett’s post hoc test. (<b>C</b>) Average daily food intake of each mouse. (<b>D</b>) Body weight gain. (<b>E</b>) Liver weight of mice. (<b>F</b>) Epididymal adipose weight of mice. (<b>G</b>) Liver index, liver weight to body weight ratio. (<b>H</b>) Fast blood glucose. <span class="html-italic">p</span>-value was obtained by one-way ANOVA with Dunnett’s post hoc test. (<b>I</b>) Intraperitoneal glucose tolerance test (IPGTT). (<b>J</b>) AUC, the area under the curve of IPGTT. Data are presented as the mean ± SD (<span class="html-italic">n</span> = 6), * <span class="html-italic">p</span> &lt; 0.05 or ** <span class="html-italic">p</span> &lt; 0.01 or *** <span class="html-italic">p</span> &lt; 0.001 or **** <span class="html-italic">p</span> &lt; 0.0001 for ND vs. WDC group; #### <span class="html-italic">p</span> &lt; 0.0001 for WDC vs. WDC_PAMK group; <span class="html-italic">p</span>-value obtained by two-way ANOVA with Dunnett’s post hoc test.</p>
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<p>Prebiotics like PAMK administration ameliorated liver injury, lipid accumulation, inflammation, and fibrosis in NASH mice. (<b>A</b>) Representative of liver tissues stained with H&amp;E, Oil Red O, and Sirius Red in ND, WDC, WDC, PAMK groups (original magnification ×200, scale bar: 50 μm). Red arrows point to steatosis, and black arrows point to inflammation. (<b>B</b>) NAFLD activity score including lobular inflammation score, steatosis score, hepatocyte ballooning score, and fibrosis score under ten views of liver H&amp;E and Sirius Red slices. (<b>C</b>) Semi-quantitative analysis of lipid droplets under ten views of Oil Red O staining area. (<b>D</b>) Quantitation of Sirius Red-positive liver area. (<b>E</b>) Liver total cholesterol, TC (<span class="html-italic">n</span> = 6). (<b>F</b>) Liver triglycerides, TG (<span class="html-italic">n</span> = 6). (<b>G</b>) Concentration of serum alanine aminotransferase, ALT (<span class="html-italic">n</span> = 6). (<b>H</b>) Concentration of serum aspartate transaminase, AST (<span class="html-italic">n</span> = 6). (<b>I</b>–<b>M</b>) Relative mRNA expression of proinflammatory factors IL-1β, IL-6, TNF-α, IL-18, MCP-1 in liver. Results are presented as the mean ± SD (<span class="html-italic">n</span> = 6), *** <span class="html-italic">p</span> &lt; 0.001 or **** <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">p</span>-value obtained by one-way ANOVA with Dunnett’s post hoc test.</p>
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<p>Anxiety- and depression- like behaviors were alleviated by prebiotics-like PAMK in NASH mice. (<b>A</b>) The time mice stay immobile state within 5 min in tail suspension test (TST). (<b>B</b>) The time that mice stay in an immobile state and their heads floating above surface in forced swimming test (FST). (<b>C</b>)The time mice stay on the spinning stick in rotarod test (RT). (<b>D</b>) Time spent in center area in 5 min during open field test (OFT). (<b>E</b>) Travel total distance of mice in 5 min during open field test. (<b>F</b>) The heat map of mice movement trajectory of open field test. Results are presented as the mean ± SD (<span class="html-italic">n</span> = 6), * <span class="html-italic">p</span> &lt; 0.05 or *** <span class="html-italic">p</span> &lt; 0.001; <span class="html-italic">p</span>-value obtained by one-way ANOVA with Dunnett’s post hoc test.</p>
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<p>Neuronal damage and neuroinflammation in the hippocampus were ameliorated after PAMK intervention. (<b>A</b>) The representative of hippocampus stained with H&amp;E, scale bar: 50 μm, the magnification was 200×; CA: cornu ammonis, DG: dentate gyrus; OD: Optical Density. <span class="html-italic">p</span>-value was obtained by two-way ANOVA with Tukey’s post hoc test. (<b>B</b>–<b>E</b>) The levels of mRNA expression of proinflammatory factors IL-6, IL-1β, TNF-α, MCP-1 in hippocampus of ND, WDC, and PAMK groups when compared with WDC group by one-way ANOVA with Dunnett’s post hoc test. Results are presented as the mean ± SD (<span class="html-italic">n</span> = 6), * <span class="html-italic">p</span> &lt; 0.05 or *** <span class="html-italic">p</span> &lt; 0.001 or **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>The effects of prebiotics-like PAMK on the gut microbiome in NASH mice. (<b>A</b>,<b>B</b>) The violin plot of Chao1 and Shannon index; <span class="html-italic">p</span>-value obtained by one-way ANOVA with Dunnett’s post hoc test. (<b>C</b>) Principal coordinate analysis (PCoA) based on unweighted unifrac. (<b>D</b>) Adonis analysis of similarities, <span class="html-italic">p</span> = 0.002 for ND vs. WDC group and <span class="html-italic">p</span> = 0.003 for WDC-vs.-PAMK group. (<b>E</b>) LAD score of 56 differential microbiota with LEfSe analysis in ND vs. WDC vs. PAMK group (LDA &gt; 4, <span class="html-italic">p</span> &lt; 0.05). (<b>F</b>) The ratio of Firmicutes to Bacteroidota. (<b>G</b>–<b>I</b>) Representative of the relative abundance of Muribaculaceae, Faecalibaculum and Faecalibaculum_rodentium. Data are presented as the mean ± SD (<span class="html-italic">n</span> = 6); <span class="html-italic">p</span>-value obtained by one-way ANOVA with Dunnett’s post hoc test. (<b>J</b>) Wilcoxon rank sum test of PICRUSt2 functional prediction based on level3 in WDC vs. PAMK group. (<b>K</b>) The heat map of relative abundance of gut microbiota obtained eight carbohydrate enzyme genes in carbohydrate metabolism pathway. * <span class="html-italic">p</span> &lt; 0.05 or ** <span class="html-italic">p</span> &lt; 0.01 or *** <span class="html-italic">p</span> &lt; 0.001 or **** <span class="html-italic">p</span> &lt; 0.0001 in ND vs. WDC or WDC vs. WDC_PAMK; <span class="html-italic">p</span>-value obtained by two-way ANOVA with Dunnett’s post hoc test.</p>
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<p>Prebiotics-like PAMK altered the serum metabolites in NASH mice. (<b>A</b>,<b>B</b>) OPLS-DA score chart of ND vs. WDC group and WDC vs. PAMK group. (<b>C</b>,<b>D</b>) Permutation test Chart of OPLS-DA score chart of pairwise comparisons. (<b>E</b>) The relationship between up- and down-regulation of 51 differential serum metabolites in ND vs. WDC group and WDC vs. PAMK group, and legend represents the multiple of up and down adjustment. (<b>F</b>–<b>J</b>) Representative of serum metabolites PC (18:5e/2:0), PC (16:2e/2:0), PC (16:0/2:0), Lysopc 20:4, LPC 19:0. Data are presented as the mean ± SD (<span class="html-italic">n</span> = 6), * <span class="html-italic">p</span> &lt; 0.05 or ** <span class="html-italic">p</span> &lt; 0.01 or *** <span class="html-italic">p</span> &lt; 0.001 or **** <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">p</span>-value obtained by one-way ANOVA with Dunnett’s post hoc test. (<b>K</b>) <span class="html-italic">p</span>-value top 10 pathways of KEGG enrichment analysis. The numbers on the columns indicate the number of metabolites enriched in the pathway, and the number in brackets indicates <span class="html-italic">p</span>-value after taking −log10.</p>
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<p>Correlation between gut microbiome and proinflammatory factors and serum metabolites. (<b>A</b>) The network diagram of positive and negative relationships between differential gut microbiota and serum metabolites; PC1~PC3: PC (18:5e/2:0), PC (16:0e/2:0), PC (16:2e/2:0); LPC1~LPC2: Lysopc 20:4, LPC 19:0. (<b>B</b>) The network diagram of positive and negative relationships between gut microbiota, serum metabolites and proinflammatory factors in liver and hippocampus; L: Liver; H: Hippocampus. (<b>C</b>) The correlation heatmap between specific gut microbiota and behavioral experimental parameters and GH1, GH4; OFT: time in center area of open field test; TST: immobility time in tail suspension test; FST: immobility time in forced swimming test; RT: latency time in rotarod test. The <span class="html-italic">r</span>-value in Spearman analysis was used to reflect the degree of correlation. Red color represents positive correlation and blue represents negative correlation, and the thickness of line represents the degree of correlation in network diagram.</p>
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16 pages, 9725 KiB  
Article
Atractylodes lancea Rhizome Polysaccharide Alleviates MCD Diet-Induced NASH by Inhibiting the p53/mTOR Pathway
by Dajin Pi, Zheng Liang, Maoxing Pan, Jianwei Zhen, Chuiyang Zheng, Jinyue Pan, Wen Fan, Qingliang Song, Qinhe Yang and Yupei Zhang
Int. J. Mol. Sci. 2024, 25(20), 11112; https://doi.org/10.3390/ijms252011112 - 16 Oct 2024
Cited by 1 | Viewed by 1170
Abstract
Nonalcoholic steatohepatitis (NASH) is a form of chronic liver disease that is characterized by liver inflammation and steatosis, with possible progression to fibrosis. Currently, no drugs have been approved for the treatment of NASH. In this study, we isolated a polysaccharide from Atractylodes [...] Read more.
Nonalcoholic steatohepatitis (NASH) is a form of chronic liver disease that is characterized by liver inflammation and steatosis, with possible progression to fibrosis. Currently, no drugs have been approved for the treatment of NASH. In this study, we isolated a polysaccharide from Atractylodes lancea rhizome (AP) and established a methionine- and choline-deficient (MCD) diet -induced NASH mouse model to investigate the preventive effect and potential mechanism of AP on NASH. The results showed that AP effectively reduced liver lipid accumulation and inflammation and reduced autophagy and ferroptosis in hepatocytes, thereby preventing the development of NASH. These findings suggest that AP may be a promising natural candidate for the treatment of NASH. Full article
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<p>Structural analysis of AP. (<b>A</b>) Molecular weight of AP. (<b>B</b>) Monosaccharide composition of AP. (<b>C</b>) FT-IR spectra.</p>
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<p>AP had therapeutic effects in the NASH model. (<b>A</b>) Macroscopic observation of the livers. (<b>B</b>,<b>C</b>) Representative images of HE staining of liver paraffin sections, Oil Red O staining of frozen liver slides observed under a microscope (scale bar: 100 µm; original magnification, ×200). (<b>D</b>–<b>F</b>) Body weight, liver wet weight, and liver wet weight/body weight of mice in each group. (<b>G</b>–<b>I</b>) TC, TG, and NEFA contents in the livers of mice in each group. (<b>J</b>,<b>K</b>) Serum concentrations of HDL-C and LDL-C. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>AP broadly modulates hepatic lipid metabolism. Lipidomic analysis was conducted on mouse liver tissue samples (<span class="html-italic">n</span> = 4). (<b>A</b>) A Venn diagram was created for the DALs. (<b>B</b>) DALs were clustered to create a heatmap. The <span class="html-italic">x</span>-axis denotes sample names and hierarchical clustering results, while the <span class="html-italic">y</span>-axis represents DALs and their hierarchical clustering results. (<b>C</b>) Matchstick plot of DALs for the MCD group and MCS group. (<b>D</b>) Matchstick plot of DALs for MCD+AP in comparison to the MCD group. The <span class="html-italic">x</span>-axis denotes log2 fold change, while the <span class="html-italic">y</span>-axis represents differential TAG. VIP: Variable Importance in Projection.</p>
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<p>The development of steatohepatitis in mice fed an MCD diet can be reduced by treatment with AP. (<b>A</b>) Micrographs of F4/80 staining in hepatic sections (scale bar, 100 µm; 200× original magnification). (<b>B</b>) Positive rate of F4/80 (<span class="html-italic">n</span> = 3). (<b>C</b>,<b>D</b>) Serum AST and ALT levels. The findings are presented as the average ± standard deviation (<span class="html-italic">n</span> = 6). (<b>E</b>–<b>G</b>) Levels of liver IL-1<span class="html-italic">β</span>, IL-6, and TNF-<span class="html-italic">α</span>. The findings are presented as the mean ± standard deviation (<span class="html-italic">n</span> = 6). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>AP extensively regulates the liver transcriptome. RNA-seq analysis was conducted on mouse liver tissue samples (<span class="html-italic">n</span> = 4). (<b>A</b>) A Venn diagram was created for the DEGs. (<b>B</b>) DEGs were clustered to create a heatmap. The <span class="html-italic">x</span>-axis denotes sample names and hierarchical clustering results, while the <span class="html-italic">y</span>-axis represents DEGs and their hierarchical clustering results. Red indicates high expression, and blue indicates low expression. (<b>C</b>) KEGG analyses of the DEGs. The <span class="html-italic">y</span>-axis shows KEGG pathways, and the <span class="html-italic">x</span>-axis represents the Rich factor. A larger Rich factor indicates a higher degree of enrichment. Larger dots signify a greater number of DEGs enriched in the pathway, and redder dots indicate more significant enrichment. (<b>D</b>) Enriched GO terms. The <span class="html-italic">y</span>-axis shows GO pathways, and the <span class="html-italic">x</span>-axis represents the Rich factor. The red square frames represent key biological processes and pathways in this study.</p>
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<p>The progression of autophagy and ferroptosis in MCD-fed mice can be mitigated with AP treatment. (<b>A</b>) Ultrathin liver sections observed under TEM (7200× and 23,000×). (<b>B</b>,<b>C</b>) ROS staining and relative expression levels (scale bar: 100 µm; 200×). (<b>D</b>–<b>G</b>) Liver Fe<sup>2+</sup>, MDA, SOD, and GSH levels (<span class="html-italic">n</span> = 6). (<b>H</b>,<b>I</b>) The relative protein expression levels of p53, <span class="html-italic">p</span>-mTOR, Beclin-1, LC3B, p62, KEAP1, NRF2, NCOA4, FTH1, and GPX4 were assessed by Western blot analysis. The data are presented as the mean ± standard deviation. Red arrows represent typical organelle structures of ferroptosis or autophagy. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>3-MA had therapeutic effects in a NASH mouse model. (<b>A</b>) Liver ultrathin sections observed under TEM (7200× and 23,000×). (<b>B</b>,<b>C</b>) ROS staining and relative expression levels (scale bar: 100 µm; 200×). (<b>D</b>–<b>G</b>) Liver Fe<sup>2+</sup>, MDA, SOD, and GSH levels (<span class="html-italic">n</span> = 6). (<b>H</b>) The relative protein expression levels of KEAP1, NRF2, NCOA4, FTH1, and GPX4 were verified by Western blot analysis. (<b>I</b>,<b>J</b>) Serum AST and ALT levels. (<b>K</b>–<b>M</b>) Liver IL-1<span class="html-italic">β</span>, IL-6, and TNF-<span class="html-italic">α</span> levels (<span class="html-italic">n</span> = 6). * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Potential mechanisms of AP in NASH mice. AP alleviates MCD diet-induced NASH by inhibiting p53/mTOR mediated autophagic ferroptosis.</p>
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43 pages, 1049 KiB  
Review
A Scoping Review on Hepatoprotective Mechanism of Herbal Preparations through Gut Microbiota Modulation
by Chin Long Poo, Mei Siu Lau, Nur Liana Md Nasir, Nik Aina Syazana Nik Zainuddin, Mohd Rahimi Ashraf Abd Rahman, Siti Khadijah Mustapha Kamal, Norizah Awang and Hussin Muhammad
Curr. Issues Mol. Biol. 2024, 46(10), 11460-11502; https://doi.org/10.3390/cimb46100682 - 16 Oct 2024
Viewed by 1294
Abstract
Liver diseases cause millions of deaths globally. Current treatments are often limited in effectiveness and availability, driving the search for alternatives. Herbal preparations offer potential hepatoprotective properties. Disrupted gut microbiota is linked to liver disorders. This scoping review aims to explore the effects [...] Read more.
Liver diseases cause millions of deaths globally. Current treatments are often limited in effectiveness and availability, driving the search for alternatives. Herbal preparations offer potential hepatoprotective properties. Disrupted gut microbiota is linked to liver disorders. This scoping review aims to explore the effects of herbal preparations on hepatoprotective mechanisms, particularly in the context of non-alcoholic fatty liver disease (NAFLD), non-alcoholic steatohepatitis (NASH), and hepatic steatosis, with a focus on gut microbiota modulation. A systematic search was performed using predetermined keywords in four electronic databases (PubMed, Scopus, EMBASE, and Web of Science). A total of 55 studies were included for descriptive analysis, covering study characteristics such as disease model, dietary model, animal model, intervention details, comparators, and study outcomes. The findings of this review suggest that the hepatoprotective effects of herbal preparations are closely related to their interactions with the gut microbiota. The hepatoprotective mechanisms of herbal preparations are shown through their effects on the gut microbiota composition, intestinal barrier, and microbial metabolites, which resulted in decreased serum levels of liver enzymes and lipids, improved liver pathology, inhibition of hepatic fatty acid accumulation, suppression of inflammation and oxidative stress, reduced insulin resistance, and altered bile acid metabolism. Full article
(This article belongs to the Special Issue Advances in Molecular Biology Methods in Hepatology Research)
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<p>Preferred reporting items for systematic review and meta-analysis (PRISMA) flow chart of included studies.</p>
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21 pages, 4208 KiB  
Article
Anti-Inflammatory Oxysterol, Oxy210, Inhibits Atherosclerosis in Hyperlipidemic Mice and Inflammatory Responses of Vascular Cells
by Frank Stappenbeck, Feng Wang, Satyesh K. Sinha, Simon T. Hui, Lia Farahi, Nigora Mukhamedova, Andrew Fleetwood, Andrew J. Murphy, Dmitri Sviridov, Aldons J. Lusis and Farhad Parhami
Cells 2024, 13(19), 1632; https://doi.org/10.3390/cells13191632 - 30 Sep 2024
Viewed by 1708
Abstract
Background and aims: We previously reported that Oxy210, an oxysterol-based drug candidate, exhibits antifibrotic and anti-inflammatory properties. We also showed that, in mice, it ameliorates hepatic hallmarks of non-alcoholic steatohepatitis (NASH), including inflammation and fibrosis, and reduces adipose tissue inflammation. Here, we aim [...] Read more.
Background and aims: We previously reported that Oxy210, an oxysterol-based drug candidate, exhibits antifibrotic and anti-inflammatory properties. We also showed that, in mice, it ameliorates hepatic hallmarks of non-alcoholic steatohepatitis (NASH), including inflammation and fibrosis, and reduces adipose tissue inflammation. Here, we aim to investigate the effects of Oxy210 on atherosclerosis, an inflammatory disease of the large arteries that is linked to NASH in epidemiologic studies, shares many of the same risk factors, and is the major cause of mortality in people with NASH. Methods: Oxy210 was studied in vivo in APOE*3-Leiden.CETP mice, a humanized mouse model for both NASH and atherosclerosis, in which symptoms are induced by consumption of a high fat, high cholesterol “Western” diet (WD). Oxy210 was also studied in vitro using two cell types that are important in atherogenesis: human aortic endothelial cells (HAECs) and macrophages treated with atherogenic and inflammatory agents. Results: Oxy210 reduced atherosclerotic lesion formation by more than 50% in hyperlipidemic mice fed the WD for 16 weeks. This was accompanied by reduced plasma cholesterol levels and reduced macrophages in lesions. In HAECs and macrophages, Oxy210 reduced the expression of key inflammatory markers associated with atherosclerosis, including interleukin-1 beta (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), chemokine (C-C motif) ligand 2 (CCL2), vascular cell adhesion molecule-1 (VCAM-1), and E-Selectin. In addition, cholesterol efflux was significantly enhanced in macrophages treated with Oxy210. Conclusions: These findings suggest that Oxy210 could be a drug candidate for targeting both NASH and atherosclerosis, as well as chronic inflammation associated with the manifestations of metabolic syndrome. Full article
(This article belongs to the Section Cells of the Cardiovascular System)
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<p>Inhibition of atherosclerotic lesion formation and macrophage proliferation by Oxy210 in atherosclerotic lesions in APOE*3-Leiden.CETP mice. Control WD (<span class="html-italic">n</span> = 9) and WD + Oxy210-treated (<span class="html-italic">n</span> = 7) mice were euthanized and the upper portion of the heart and proximal aorta were embedded in OCT compound and stored at −70 °C. Serial 10 μm-thick cryosections from the middle portion of the left ventricle of the aortic root were collected and mounted on poly-d-lysine-coated plates. Sections were stained with oil red O. Representative pictures (<b>A</b>) are shown at magnification of 4X. Lesion areas (<b>B</b>) were quantitated by light microscopy and ImagePro Premier software (Version 9.1). Results are presented as mean ± SEM. To quantitate macrophage proliferation (<b>C</b>,<b>D</b>), immunofluorescence staining was performed using a standard protocol. Merged-CD68 (red), Ki-67 (green), and DAPI (blue), shown at magnification of 10X. Yellow arrows represent Ki-67+ macrophages. The percentage of CD68+ macrophages (<b>E</b>,<b>F</b>) relative to total cells (DAPI+ cells) in atherosclerotic lesions (outlined) was measured in both control WD mice and those treated with WD + Oxy210. WD control mice exhibit a significantly higher percentage of macrophages in the atherosclerotic lesions compared to Oxy210-treated mice, where macrophage infiltration is notably reduced. Merged-CD68 (red) and DAPI (blue), shown at magnification of 10X.</p>
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<p>Dose-dependent effects of Oxy210 on plasma total cholesterol, liver fibrosis, hepatic profibrotic gene expression, and atherosclerotic lesion formation. (<b>A</b>) Mice were fed a chow diet or WD supplemented with various amounts of Oxy210 for 16 weeks. Mice were fasted for 4 h prior to blood collection. Plasma total cholesterol (TC) was measured by colorimetric assays. Data are presented as mean ± SD (<span class="html-italic">n</span> = 7–14 mice per group). *** denotes <span class="html-italic">p</span> &lt; 0.001 versus control (WD without Oxy210 supplementation). (<b>B</b>) Liver sections from control and Oxy210-fed mice (<span class="html-italic">n</span> = 7–10 animals per group) were stained for collagen with picrosirius red. Fibrosis score was determined by a pathologist blinded to the study. Results are presented as mean ± SEM. * denotes <span class="html-italic">p</span> &lt; 0.05, ** denotes <span class="html-italic">p</span> &lt; 0.01, and *** denotes <span class="html-italic">p</span> &lt; 0.01 versus control (WD without Oxy210 supplementation). The expression of pro-fibrotic genes <span class="html-italic">Acta2</span> (<b>C</b>) and <span class="html-italic">Spp1</span> (<b>D</b>) in the livers from chow control, WD-, and WD Oxy210-fed mice (0.5, 1, 2, and 4 mg/g) was measured by qPCR and normalized to the level of the housekeeping gene <span class="html-italic">Rpl4</span>. Relative gene expression levels are presented as mean ± SD in each group (<span class="html-italic">n</span> = 6–8). * denotes <span class="html-italic">p</span> &lt; 0.05 versus control. (<b>E</b>) The measurement of atherosclerotic lesions was conducted through the examination of sections obtained from the aortic sinus and proximal aorta of mice subjected to varying doses of Oxy210.</p>
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<p>Time course of lipid-lowering effects of Oxy210. Female CETP/APOE*3-Leiden mice were fed WD with (purple bars) or without (blue bars) supplementation of Oxy210 (4 mg/g) for 0–16 weeks. Plasma samples were collected after a 4 h fast at the indicated time points. Levels of (<b>A</b>) total cholesterol (TC), (<b>B</b>) unesterified cholesterol (UC), and (<b>C</b>) LDL cholesterol (LDL-C) were determined using colorimetric assays. Results from control WD and WD + Oxy210 mice are presented as mean ± SEM from each group (<span class="html-italic">n</span> = 3–7). * denotes <span class="html-italic">p</span> &lt; 0.05 and ** denotes <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Inhibition of PGPC-induced expression of pro-inflammatory and atherogenic genes in RAW264.7 cells by Oxy210. RAW264.7 cells were treated in DMEM containing 0.1% FBS overnight and then pretreated for 2 h with Oxy210 (5 μM) in DMEM containing 0.1% FBS. The cells were then treated with PGPC (50 μM) in the absence or presence of Oxy210 (5 μM). After 4 (<b>A</b>) or 24 (<b>B</b>) hours, RNA was extracted and analyzed by Q-RT-PCR for the expression of the genes as indicated and normalized to Oaz1 expression. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (## <span class="html-italic">p</span> &lt; 0.01 vs. PCPG; ** <span class="html-italic">p</span> &lt; 0.01 vs. control).</p>
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<p>Inhibition of TNF-α-induced expression of <span class="html-italic">VCAM-1</span> in HAECs and THP-1 cells by Oxy210. (<b>A</b>) The HAECs were pretreated with Oxy210 (5 μM) in M199 containing 1% FBS overnight and then treated with TNF-α (50 ng/mL) in the absence or presence of Oxy210 (5 μM). After 8 h, the RNA was extracted and analyzed by Q-RT-PCR for the expression of VCAM-1 and normalized to GAPDH expression. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (## <span class="html-italic">p</span> &lt; 0.01 vs. TNF-α; ** <span class="html-italic">p</span> &lt; 0.01 vs. control). (<b>B</b>) The THP-1 cells were pretreated with Oxy210 (5 μM) in RPMI containing 1% FBS overnight and then treated with TNF-α (50 ng/mL) in the absence or presence of Oxy210 (5 μM). After 24 h, the RNA was extracted and analyzed by Q-RT-PCR for the expression of VCAM-1 and normalized to GAPDH expression. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (## <span class="html-italic">p</span> &lt; 0.01 vs. TNF-α; ** <span class="html-italic">p</span> &lt; 0.01 vs. control).</p>
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<p>Inhibition of PGPC and CU-T12-9-induced expression of pro-inflammatory and atherogenic genes in HAECs by Oxy210. HAECs were pretreated with (<b>A</b>) Oxy210 (5 μM) or (<b>B</b>–<b>E</b>) Oxy210 (10 μM) in M199 containing 1% FBS overnight and then treated with 50 μM of (<b>A</b>) PGPC or (<b>B</b>–<b>E</b>) 1 μg/mL of CU-T12-9 (CU) in the absence or presence of Oxy210. After (<b>A</b>) 24 or (<b>B</b>–<b>E</b>) 4 h, the RNA was extracted and analyzed by Q-RT-PCR for the expression of the genes as indicated and normalized to GAPDH expression. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (## <span class="html-italic">p</span> &lt; 0.01 vs. PCPG or CU; ** <span class="html-italic">p</span> &lt; 0.01 vs. control).</p>
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<p>Inhibition of TGF-β-induced expression of pro-inflammatory and atherogenic genes in HAECs by Oxy210. HAECs were pretreated with Oxy210 (5 μM) in M199 containing 1% FBS for 6 h and then treated with rhTGF-β1 (10 ng/mL) in the absence or presence of Oxy210. After 48 h, RNA was extracted and analyzed by Q-RT-PCR for the expression of the genes as indicated and normalized to GAPDH expression. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (## <span class="html-italic">p</span> &lt; 0.01 vs. TGF-β; ** <span class="html-italic">p</span> &lt; 0.01 vs. control).</p>
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<p>Inhibition of LPS-induced expression of atherogenic and pro-inflammatory factors in HAECs by Oxy210. (<b>A</b>,<b>B</b>,<b>D</b>–<b>F</b>) HAECs were pretreated with Oxy210 as indicated in M199 containing 1% FBS overnight and then treated with 1 μg/mL of LPS in the absence or presence of Oxy210. After 4 h, RNA was extracted and analyzed by Q-RT-PCR for the expression of the genes as indicated and normalized to GAPDH expression. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (## <span class="html-italic">p</span> &lt; 0.01 vs. LPS; ** <span class="html-italic">p</span> &lt; 0.01 vs. control). (<b>C</b>) HAECs were pretreated with increasing concentrations of Oxy210 in M199 containing 1% FBS for 24 h and then treated with LPS (1 μg/mL) in the absence or presence of Oxy210 as indicated. After 24 h, cells were lysed, and the whole-cell extracts were diluted and subjected to ELISA for VCAM-1. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (## <span class="html-italic">p</span> &lt; 0.01 vs. control; ** <span class="html-italic">p</span> &lt; 0.01 vs. LPS).</p>
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<p>Prophylactic and therapeutic inhibition of LPS-induced expression of atherogenic genes in HAECs by Oxy210. HAECs were treated under the following four experimental conditions where cells were exposed to Oxy210 (5 μM) before (prophylactic) or after (therapeutic) treatment with LPS (1 μg/mL): (<b>A</b>) 24 h of pretreatment with Oxy210, followed by addition of LPS for 4 h; (<b>B</b>) 24 h of pretreatment with Oxy210, followed by removal of Oxy210, and addition of LPS for 4 h; (<b>C</b>) 24 h of pretreatment with Oxy210, followed by removal of Oxy210 and continued cell culture for 24 h, followed by addition of LPS for 4 h; and (<b>D</b>) LPS treatment for 4 h followed by addition of Oxy210 for 24 h. RNA was extracted and analyzed by Q-RT-PCR for the expression of the genes as indicated and normalized to GAPDH expression. Data from a representative experiment are reported as the mean of triplicate determinations ± SD (** <span class="html-italic">p</span> &lt; 0.01 vs. LPS).</p>
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<p>Stimulation of ABCA1 protein abundance and cholesterol efflux by Oxy210 in RAW264.7 macrophages. (<b>A</b>) Raw264.7 cells were grown to confluence in the DMEM containing 10% FCS and then incubated with Oxy210 (5 μM) or vehicle for 24 h in medium containing 0.1% FCS. Cells were then lysed, and ABCA1 and GAPDH in lysates were detected by Western blotting and visualized and quantitated using G:Box imaging system. Data from a representative experiment are reported (<span class="html-italic">n</span> = 6, biological replicates) as mean ± SD (** <span class="html-italic">p</span> &lt; 0.01 vs. control). (<b>B</b>) Raw264.7 cells were grown to confluence and labeled with [3H] cholesterol for 48 h in a medium containing 10% FCS. Cells were then incubated for 24 h with Oxy210 (5 μM) or vehicle in a medium containing 0.1% FCS. Cells were then washed and incubated for 2 h in a serum-free medium containing purified human apoA-I (25 μg/mL) or without apoA-I as control. Specific cholesterol efflux is shown and was expressed as a percentage of labeled cholesterol moved from cells to apoA-I-containing media minus that in the absence of apoA-I (blank). Data from a representative experiment are reported (<span class="html-italic">n</span> = 6, biological replicates) as mean ± SEM (*** <span class="html-italic">p</span> &lt; 0.001 vs. control).</p>
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17 pages, 4729 KiB  
Article
Impact of Non-Alcoholic Fatty Liver Disease on Sepsis Inpatient Outcomes: A Nationwide Sample Analysis (2000–2019)
by Xiuhong Lyu, Bolun Liu, Yiting Li, Yichen Wang, John Miskovsky, Melissa Gaitanis, Kittichai Promrat and Wen-Chih Wu
J. Clin. Med. 2024, 13(19), 5737; https://doi.org/10.3390/jcm13195737 - 26 Sep 2024
Viewed by 1148
Abstract
Background/Objectives: Patients with Non-Alcoholic Fatty Liver Disease (NAFLD) are reported to have an increased risk of developing severe infections, leading to hospitalizations with sepsis. However, data regarding the impact of comorbid NAFLD on in-hospital outcomes of patients with sepsis is scarce. Methods: This [...] Read more.
Background/Objectives: Patients with Non-Alcoholic Fatty Liver Disease (NAFLD) are reported to have an increased risk of developing severe infections, leading to hospitalizations with sepsis. However, data regarding the impact of comorbid NAFLD on in-hospital outcomes of patients with sepsis is scarce. Methods: This nationwide retrospective observational study using discharge data from the National Inpatient Sample (NIS), Healthcare Cost and Utilization Project (HCUP), and Agency for Healthcare Research and Quality included 21,057,911 adult patients who were admitted to hospitals in the United States between 2000 and 2019 with a primary discharge diagnosis of sepsis. These patients were categorized according to the presence or absence of comorbid NAFLD. The twenty-year trend of nationwide NAFLD prevalence among sepsis inpatients was elucidated. Multivariable logistic regression analysis was used to analyze NAFLD’s impact on sepsis outcomes. Results: In the twenty-year study period, the prevalence of NALFD among sepsis inpatients trended up from 1.2% in 2000 to 4.2% in 2019. Similar trends were observed in regional analysis. While overall sepsis mortality decreased, comorbid NAFLD in sepsis patients was consistently associated with a higher adjusted in-hospital all-cause mortality rate (adjusted odds ratio (OR), 1.19; 95% confidence interval (CI), 1.07–1.32), higher odds of developing septic shock, and higher likelihood of development of multi–organ dysfunction. Conclusions: Comorbid NAFLD in the stage of NASH or cirrhosis is associated with higher in-hospital all-cause mortality and worse clinical outcomes in sepsis inpatients. Addressing this rising epidemic will be of paramount importance to improve sepsis in-hospital outcomes. Full article
(This article belongs to the Special Issue Recent Clinical Research on Nonalcoholic Fatty Liver Disease)
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<p>Total discharge numbers, sepsis case numbers, concurrent NAFLD case numbers, and percentages from 2000 to 2019 in the United States, with regional analysis. (<b>a</b>) Sepsis cases and the percentage of sepsis cases among total hospital discharges have steadily increased from 311,650 cases, 0.9% in 2000, to 2,274,200 cases, 6.4% among total discharges in 2019. (<b>b</b>) The number of sepsis patients with concurrent NAFLD and the percentage of NAFLD among total sepsis admissions trended up steadily, increasing from 3759 cases, 1.2% of sepsis inpatients in the year 2000, to 94,525 cases, 4.2% of sepsis inpatients in the year 2019. (<b>c</b>) The number of sepsis patients and concurrent NAFLD case numbers also trended up in the four geographic regions of the United States during the twenty-year study period. (<b>d</b>) The percentage of NAFLD among sepsis admissions also trended up steadily in the four geographic regions of the United States, and the West persistently had the highest prevalence of NAFLD among sepsis patients. <span class="html-italic">NAFLD</span>—Non-Alcoholic Fatty Liver Disease.</p>
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<p>Trend of adjusted in-hospital all-cause mortality rate of sepsis patients, with and without NAFLD, from 2000–2019, in the United States, with regional analysis. (<b>a</b>) The in-hospital all-cause mortality for sepsis admissions had trended down steadily, declining from 16.3% in the year 2000 to 9.1% in the year 2019. Similar trends were observed for both the NAFLD group (1.1% to 12.2%) (<span class="html-italic">p</span>-value &lt; 0.001 for trend) and non-NAFLD group (16.2% to 9.1%) patients. The mortality rates in the sepsis-NAFLD group patients were persistently higher than those in the non-NAFLD counterparts (<span class="html-italic">p</span> &lt; 0.001). (<b>b</b>) Similar trends of mortality were also observed in the regional analysis involving the four geographic regions of the United States in NAFLD-sepsis patients (Northeast, Midwest, South, and West), with the Northeast persistently having the highest sepsis mortality rate during the twenty-year study period. <span class="html-italic">NAFLD</span>—Non-Alcoholic Fatty Liver Disease.</p>
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<p>Forrest plot showing clinical outcomes in sepsis admissions with and without NAFLD. Sepsis-NAFLD group patients had higher all-cause mortality and higher odds of developing cardiovascular dysfunction, hepatic dysfunction, renal dysfunction requiring hemodialysis, hematological dysfunction, and metabolic dysfunction. They also had higher odds of developing septic shock as compared to sepsis without NAFLD counterparts. OR and 95% CI were reported for outcome variables. The edges of the diamond point represent the 95% confidence interval limit. The graphical representation in the figure refers to the statistics in <a href="#jcm-13-05737-t002" class="html-table">Table 2</a>. <span class="html-italic">NAFLD</span>—Non-Alcoholic Fatty liver Disease; <span class="html-italic">OR</span>—Odds ratio; <span class="html-italic">CI</span>—confidence interval.</p>
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<p>Trends of Adjusted In-Hospital Length of Stay of Sepsis Patients who died in the hospital, with and without NAFLD from 2000 to 2019 in the United States. From the year 2000 to the year 2019, the overall length of stay for sepsis patients who died in the hospital declined from 8.1 days in 2000 to 6.6 days in 2019. Similar trends were observed for both NAFLD (7.1 days to 5.8 days) and non-NAFLD groups (8.1 days to 6.7 days) patients. The length of stay in the sepsis-NAFLD group patients was persistently lower than their non-NAFLD counterparts (<span class="html-italic">p</span> &lt; 0.001). <span class="html-italic">NAFLD</span>—Non-Alcoholic Fatty Liver Disease.</p>
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34 pages, 2351 KiB  
Review
Vaccinium spp. Berries in the Prevention and Treatment of Non-Alcoholic Fatty Liver Disease: A Comprehensive Update of Preclinical and Clinical Research
by Ewelina Książek, Zuzanna Goluch and Marta Bochniak
Nutrients 2024, 16(17), 2940; https://doi.org/10.3390/nu16172940 - 2 Sep 2024
Viewed by 2213
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disorder marked by the buildup of triacylglycerols (TGs) in the liver. It includes a range of conditions, from simple steatosis to more severe forms like non-alcoholic steatohepatitis (NASH), which can advance to fibrosis, [...] Read more.
Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disorder marked by the buildup of triacylglycerols (TGs) in the liver. It includes a range of conditions, from simple steatosis to more severe forms like non-alcoholic steatohepatitis (NASH), which can advance to fibrosis, cirrhosis, and hepatocellular carcinoma. NAFLD’s prevalence is rising globally, estimated between 10% and 50%. The disease is linked to comorbidities such as obesity, type 2 diabetes, insulin resistance, and cardiovascular diseases and currently lacks effective treatment options. Therefore, researchers are focusing on evaluating the impact of adjunctive herbal therapies in individuals with NAFLD. One herbal therapy showing positive results in animal models and clinical studies is fruits from the Vaccinium spp. genus. This review presents an overview of the association between consuming fruits, juices, and extracts from Vaccinium spp. and NAFLD. The search used the following keywords: ((Vaccinium OR blueberry OR bilberry OR cranberry) AND (“non-alcoholic fatty liver disease” OR “non-alcoholic steatohepatitis”)). Exclusion criteria included reviews, research notes, book chapters, case studies, and grants. The review included 20 studies: 2 clinical trials and 18 studies on animals and cell lines. The findings indicate that juices and extracts from Vaccinium fruits and leaves have significant potential in addressing NAFLD by improving lipid and glucose metabolism and boosting antioxidant and anti-inflammatory responses. In conclusion, blueberries appear to have the potential to alleviate NAFLD, but more clinical trials are needed to confirm these benefits. Full article
(This article belongs to the Special Issue Nutrition in the Liver Damage)
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<p>Flow diagram of the study selection process.</p>
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<p>Systemic anti-inflammatory and antioxidant effects of dietary polyphenols.</p>
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<p>General overview of the impact of <span class="html-italic">Vaccinium</span> spp. on transcription factors. ACC—acetyl-coenzyme A carboxylas; ACOX1—acyl-CoA oxidase1; ADP—adenosine-5′-diphosphate; AMPK—AMP-activated protein kinase; CPTIα—carnitine palmitoyltransferase-I-alpha; PPAR—peroxisome proliferator-activated receptor; SREBP—sterol regulatory element-binding protein; ↑—increase; ↓—decrease;.</p>
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18 pages, 5814 KiB  
Article
Mechanism Study of Xiaoyao San against Nonalcoholic Steatohepatitis-Related Liver Fibrosis Based on a Combined Strategy of Transcriptome Analysis and Network Pharmacology
by Di Yan, Xiaoling Zhang, Chengmei Ma, Wenting Huang, Mimi Hao and Lan Xie
Pharmaceuticals 2024, 17(9), 1128; https://doi.org/10.3390/ph17091128 - 27 Aug 2024
Viewed by 1324
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the leading cause of liver disease worldwide. Nonalcoholic steatohepatitis (NASH) is an advanced form of NAFLD. The livers of patients with NASH are more likely to develop fibrosis. Xiaoyao San (XYS) is a classic traditional Chinese medicine [...] Read more.
Nonalcoholic fatty liver disease (NAFLD) is the leading cause of liver disease worldwide. Nonalcoholic steatohepatitis (NASH) is an advanced form of NAFLD. The livers of patients with NASH are more likely to develop fibrosis. Xiaoyao San (XYS) is a classic traditional Chinese medicine (TCM) formula that has been widely used in treating liver diseases. In this study, we elucidated the effects and mechanism of XYS in treating NASH-related liver fibrosis by combining high-throughput sequencing-based high-throughput screening with network pharmacology analysis. Our work revealed that XYS may play a role in preventing NASH-related liver fibrosis by regulating biological functions related to the extracellular matrix (ECM), inflammation, and metabolism. Additionally, Bupleuri Radix, Poria, Zingiberis Rhizoma Recens, and Paeoniae Radix Alba are the key herbs of XYS that could partially represent the functions of XYS. These regulatory effects are mediated by targeting signal transducer and activator of transcription 3 (STAT3), nuclear factor kappa B (NFκB), and peroxisome proliferator-activated receptor gamma (PPARγ) signaling. Narcissin, casuarictin, and γ-sitosterol were identified as representative active compounds in XYS targeting STAT3, NFκB, and PPARγ, respectively. Taken together, our findings provide a novel strategy for investigating the pharmacological effects and biological mechanisms of a TCM formula. Full article
(This article belongs to the Section Pharmacology)
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<p>Research technical roadmap.</p>
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<p>Volcano plot of DEGs and biological functional analysis of XYS: (<b>a</b>–<b>i</b>) Volcano plot of the DEGs of XYS and its 8 constituent herbs. Red plot, upregulated gene; green plot, downregulated gene; black plot, stable gene. (<b>j</b>) Top 10 significantly enriched KEGG pathways in the 916 DEGs in response to XYS treatment. (<b>k</b>) <span class="html-italic">TGFB1</span>, <span class="html-italic">COL1A1</span>, and <span class="html-italic">COL3A1</span> mRNA expression in LX-2 cells treated with 400 μg/mL XYS for 24 h. The data are shown as the mean ± SD. Statistical analyses were conducted using paired Student’s <span class="html-italic">t</span> tests. * <span class="html-italic">p</span> &lt; 0.05 vs. the control group.</p>
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<p>Biological functional analysis of the 8 constituent herbs of XYS: (<b>a</b>–<b>h</b>) Top 10 significantly enriched KEGG pathways in DEGs in response to treatment with BR, ASR, PRA, AMR, <span class="html-italic">Poria</span>, ZRR, MHH, or GRR.</p>
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<p>Bubble graph for the top 10 significantly enriched KEGG pathways of 8 herbs related to the ECM, inflammation, or metabolism. Each bubble represents one KEGG pathway. The bubble size correlates with the relative ratio of DEGs affecting each pathway among the total DEGs. Larger bubbles and greater Lg (<span class="html-italic">p</span> value) indicate greater significance.</p>
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<p>MCODE cluster analysis of the PPI network based on the DEGs of XYS: (<b>a</b>) The top 3 highest-scoring clusters of the PPI network. (<b>b</b>) The top 10 significantly enriched KEGG pathways of the 3 clusters.</p>
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<p>Identification of key transcription factors of XYS: (<b>a</b>) Gene-transcription factor regulatory interaction network of XYS. The pink triangle nodes represent transcription factors, and the blue round nodes represent downstream genes. (<b>b</b>) The motif binding sequences of STAT3, NFKB1, and PPARG. (<b>c</b>) Gene-transcription factor regulatory interaction network of STAT3, NFKB1, and PPARG and their downstream DEGs.</p>
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<p>Validation of potential therapeutic targets of XYS and its constituent herbs: (<b>a</b>) <span class="html-italic">STAT1</span>, <span class="html-italic">AKT1</span>, <span class="html-italic">BCL2L11</span>, <span class="html-italic">CCL11</span>, <span class="html-italic">VLDLR</span>, and <span class="html-italic">ANGPTL4</span> mRNA expression in LX-2 cells treated with 400 μg/mL XYS for 24 h. (<b>b</b>,<b>c</b>) <span class="html-italic">STAT1</span> and <span class="html-italic">AKT1</span> mRNA expression in LX-2 cells treated with 100 μg/mL ZRR, PRA, <span class="html-italic">Poria</span>, or BR for 24 h. (<b>d</b>,<b>e</b>) <span class="html-italic">BCL2L11</span> and <span class="html-italic">CCL11</span> mRNA expression in LX-2 cells treated with 100 μg/mL ZRR, PRA, or <span class="html-italic">Poria</span> for 24 h. (<b>f</b>,<b>g</b>) <span class="html-italic">VLDLR</span> and <span class="html-italic">ANGPTL4</span> mRNA expression in LX-2 cells treated with 100 μg/mL ZRR, <span class="html-italic">Poria</span>, or BR for 24 h. The data are shown as the mean ± SD. Statistical analyses were conducted using paired Student’s <span class="html-italic">t</span> tests. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 vs. the control group.</p>
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<p>Molecular docking models of the target proteins and compounds: (<b>a</b>) Model of narcissin binding to STAT3. The green stick represents narcissin. (<b>b</b>) Model of casuarictin binding to NFκB. The pink stick represents casuarictin. (<b>c</b>) Model of γ-sitosterol binding to PPARγ. The red stick represents γ-sitosterol. All the coordinate bonds are indicated as yellow dotted lines.</p>
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