[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
You seem to have javascript disabled. Please note that many of the page functionalities won't work as expected without javascript enabled.
 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (19,721)

Search Parameters:
Keywords = fat

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
15 pages, 1488 KiB  
Article
Monitoring of the Dry-Curing Process in Iberian Ham Through the Evaluation of Fat Volatile Organic Compounds by Gas Chromatography–Ion Mobility Spectrometry and Non-Destructive Sampling
by Pablo Rodríguez-Hernández, Andrés Martín-Gómez, Miriam Rivero-Talavera, María José Cardador, Vicente Rodríguez-Estévez and Lourdes Arce
Foods 2025, 14(1), 49; https://doi.org/10.3390/foods14010049 - 27 Dec 2024
Abstract
The current quality control of the dry-curing process in Iberian ham is performed with an olfactory evaluation by ham experts. The present study proposes to monitor the dry-curing process of Iberian ham using an objective analytical methodology that involves non-destructive sampling of the [...] Read more.
The current quality control of the dry-curing process in Iberian ham is performed with an olfactory evaluation by ham experts. The present study proposes to monitor the dry-curing process of Iberian ham using an objective analytical methodology that involves non-destructive sampling of the subcutaneous fat of the hams and a volatile profile analysis using gas chromatography–ion mobility spectrometry. Thirty-eight 100% Iberian acorn-fed hams were examined in total, with eighteen hams monitored during the post-salting stage and twenty during the drying-maturation stage. A total of 164 markers were detected in the samples monitored during the post-salting stage, whereas 276 were detected in the hams monitored during the drying-maturation stage. The study of the trends observed in the intensities of the markers throughout the curing process enabled the detection of potential indicators of the end of the post-salting stage. Thus, representative intensity thresholds were established for some markers (3-methylbutanal, pentanal, hexanal, (E)-octen-2-al, 2-hexen-1-ol and heptan-1-ol) to determine the optimal point to specify the end of the post-salting process for hams. These findings provide an objective tool to support the traditional sensory evaluation currently performed in the industry. Full article
Show Figures

Figure 1

Figure 1
<p>Sampling times during the post-salting (blue dots) and drying-maturation (green dots) stages.</p>
Full article ">Figure 2
<p>Boxplot with average intensity of the markers with r &gt; 0.8 in the 18 ham samples analyzed in the post-salting stage. The red dashed line represents the expected value of intensity at the end of the post-salting stage (around the fourth month). M: monomer, D: dimer, M+D: sum of the monomer and dimer.</p>
Full article ">Figure 3
<p>Boxplot with average intensity of the markers with absolute r &gt; 0.6 in the 20 ham samples analyzed in the drying-maturation stage. M: monomer, D: dimer, M+D: sum of the monomer and dimer.</p>
Full article ">
15 pages, 866 KiB  
Article
AbaComplex Enhances Mitochondrial Biogenesis and Adipose Tissue Browning: Implications for Obesity and Glucose Regulation
by Serena Sagliocchi, Elisabetta Schiano, Lucia Acampora, Fortuna Iannuzzo, Annunziata Gaetana Cicatiello, Caterina Miro, Annarita Nappi, Federica Restolfer, Mariano Stornaiuolo, Stefano Zarrilli, Fabrizia Guerra, Gian Carlo Tenore, Monica Dentice and Ettore Novellino
Foods 2025, 14(1), 48; https://doi.org/10.3390/foods14010048 - 27 Dec 2024
Abstract
Adipose tissue, particularly white adipose tissue (WAT), plays a central role in energy storage and metabolic regulation. Excess WAT, especially visceral fat, is strongly linked to metabolic disorders such as obesity and type 2 diabetes. The browning of WAT, whereby white fat cells [...] Read more.
Adipose tissue, particularly white adipose tissue (WAT), plays a central role in energy storage and metabolic regulation. Excess WAT, especially visceral fat, is strongly linked to metabolic disorders such as obesity and type 2 diabetes. The browning of WAT, whereby white fat cells acquire characteristics of brown adipose tissue (BAT) with enhanced thermogenic capacity, represents a promising strategy to enhance metabolic health. In this study, we investigated the effects of chronic supplementation with an infusion based on lyophilized, thin nectarines rich in abscisic acid (ABA), named AbaComplex, on promoting browning of WAT and activating BAT in mice. Over 30 days, C57BL/6 mice were treated with the ABA-rich infusion, and various metabolic and molecular parameters were assessed. The results showed that the AbaComplex significantly increased the expression of browning markers, such as UCP1 and PGC1-α, in both visceral and subcutaneous WAT. Additionally, mitochondrial biogenesis and function were enhanced, evidenced by elevated mitochondrial DNA content and activity. The treatment also reduced the weight of WAT (both visceral and subcutaneous) and BAT and significantly improved glucose uptake in WAT via upregulation of GLUT4, suggesting enhanced insulin sensitivity. Overall, the pronounced browning effect in WAT underscores the potential of AbaComplex as a natural approach for combating obesity and improving metabolic health. Full article
16 pages, 589 KiB  
Article
Maize Herbivore-Induced Volatiles Enhance Xenobiotic Detoxification in Larvae of Spodoptera frugiperda and S. litura
by Peng Wang, Qiyue Zeng, Yi Zhao, Xiaomin Sun, Yongqiang Han, Rensen Zeng, Yuanyuan Song, Dongmei Chen and Yibin Lin
Plants 2025, 14(1), 57; https://doi.org/10.3390/plants14010057 - 27 Dec 2024
Abstract
The release of herbivore-induced plant volatiles (HIPVs) has been recognized to be an important strategy for plant adaptation to herbivore attack. However, whether these induced volatiles are beneficial to insect herbivores, particularly insect larvae, is largely unknown. We used the two important highly [...] Read more.
The release of herbivore-induced plant volatiles (HIPVs) has been recognized to be an important strategy for plant adaptation to herbivore attack. However, whether these induced volatiles are beneficial to insect herbivores, particularly insect larvae, is largely unknown. We used the two important highly polyphagous lepidopteran pests Spodoptera frugiperda and S. litura to evaluate the benefit on xenobiotic detoxification of larval exposure to HIPVs released by the host plant maize (Zea mays). Larval exposure of the invasive alien species S. frugiperda to maize HIPVs significantly enhanced their tolerance to all three of the well-known defensive compounds 2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one (DIMBOA), chlorogenic acid, and tannic acid in maize and the two commonly used insecticides methomyl and chlorpyrifos. HIPV exposure also improved the larval tolerance of S. litura third instars to chlorogenic and tannic acids. Furthermore, larval exposure to either maize HIPVs or DIMBOA induced the activities of cytochrome P450 enzymes (P450s), glutathione-s-transferase (GST), and carboxylesterase (CarE) in the midguts and fat bodies of the two insects, while the induction was significantly higher by the two components together. In addition, the expression of four genes encoding uridine diphosphate (UDP)-glycosyltransferases (UGT33F28, UGT40L8) and P450s (CYP4d8, CYP4V2) showed similar induction patterns in S. frugiperda. Cis-3-hexen-1-ol, an important component in maize HIPVs, also showed the same functions as maize HIPVs, and its exposure increased larval xenobiotic tolerance and induced the detoxification enzymes and gene expression. Our findings demonstrate that HIPVs released by the pest-infested host plants are conductive to the xenobiotic tolerance of lepidopteran insect larvae. Hijacking the host plant HIPVs is an important strategy of the invasive alien polyphagous lepidopteran pest to counter-defend against the host plant’s chemical defense. Full article
(This article belongs to the Special Issue Allelopathy in Agroecosystems)
43 pages, 9807 KiB  
Review
Polyunsaturated Fatty Acids and Human Health: A Key to Modern Nutritional Balance in Association with Polyphenolic Compounds from Food Sources
by Magdalena Mititelu, Dumitru Lupuliasa, Sorinel Marius Neacșu, Gabriel Olteanu, Ștefan Sebastian Busnatu, Andreea Mihai, Violeta Popovici, Nicoleta Măru, Steluța Constanța Boroghină, Sebastian Mihai, Corina-Bianca Ioniță-Mîndrican and Alexandru Scafa-Udriște
Foods 2025, 14(1), 46; https://doi.org/10.3390/foods14010046 - 27 Dec 2024
Abstract
Polyunsaturated fatty acids (PUFAs) are vital dietary elements that play a significant role in human nutrition. They are highly regarded for their positive contributions to overall health and well-being. Beyond the fact that they provide a substantial supply of energy to the body [...] Read more.
Polyunsaturated fatty acids (PUFAs) are vital dietary elements that play a significant role in human nutrition. They are highly regarded for their positive contributions to overall health and well-being. Beyond the fact that they provide a substantial supply of energy to the body (a role that saturated fats can also perform), these unsaturated fatty acids and, especially, the essential ones are involved in cell membrane structure, blood pressure regulation, and coagulation; participate in the proper functioning of the immune system and assimilation of fat-soluble vitamins; influence the synthesis of pro- and anti-inflammatory substances; and protect the cardiovascular system. Modern diets like the Western diet and the American diet are rich in saturated fats found especially in fast food products, sweets, and processed foods, a fact that has led to an increase in the prevalence of metabolic diseases worldwide (obesity, type II diabetes, gout, cardiovascular disease). Nutritionists have drawn attention to the moderate consumption of saturated fats and the need to increase the intake of unsaturated fats to the detriment of saturated ones. This paper examines the biochemical roles of polyunsaturated fats, particularly essential fatty acids, and contrasts their benefits with the detrimental effects of saturated fat overconsumption. Furthermore, it highlights the necessity for dietary shifts towards increased PUFA intake to mitigate the global burden of diet-related health issues. The co-occurrence of PUFAs and polyphenols in plant-based foods highlights the sophistication of nature’s design. These bioactive compounds are not randomly distributed but are present in foods humans have consumed together historically. From traditional diets like the Mediterranean, which pairs olive oil (PUFAs and polyphenols) with vegetables and legumes, to Asian cuisines combining sesame seeds with turmeric, cultural practices have long harnessed this natural synergy. Full article
Show Figures

Figure 1

Figure 1
<p>PUFA classification based on several criteria.</p>
Full article ">Figure 2
<p>Foods rich in polyunsaturated fatty acids. Created with BioRender.com (accessed on 15 October 2024).</p>
Full article ">Figure 3
<p>The stages of biotransformation of ALA in the human body. Created with BioRender.com (accessed on 15 October 2024).</p>
Full article ">Figure 4
<p>Biotransformation of essential fatty acids in the human body. Created with BioRender.com (accessed on 15 October 2024).</p>
Full article ">Figure 5
<p>Physiological effects of PUFAs. Created with BioRender.com (accessed on 15 October 2024).</p>
Full article ">Figure 6
<p>DHA and healthy brain. Created with BioRender.com (accessed on 15 October 2024).</p>
Full article ">Figure 7
<p>Omega-3 fatty acids and insulin secretion. Created with BioRender.com (accessed on 15 October 2024).</p>
Full article ">
11 pages, 524 KiB  
Article
Micronutrient Deficiencies in Heart Failure and Relationship with Exocrine Pancreatic Insufficiency
by Marlene A. T. Vijver, Nils Bomer, Robert C. Verdonk, Peter van der Meer, Dirk J. van Veldhuisen and Olivier C. Dams
Nutrients 2025, 17(1), 56; https://doi.org/10.3390/nu17010056 - 27 Dec 2024
Abstract
Background: Micronutrient deficiencies are common and play a significant role in the prognosis of many chronic diseases, including heart failure (HF), but their prevalence in HF is not well known. As studies have traditionally focused on causes originating within the intestines, exocrine pancreatic [...] Read more.
Background: Micronutrient deficiencies are common and play a significant role in the prognosis of many chronic diseases, including heart failure (HF), but their prevalence in HF is not well known. As studies have traditionally focused on causes originating within the intestines, exocrine pancreatic insufficiency (EPI) has been overlooked as a potential contributor. The exocrine pancreas enables the absorption of various (fat-soluble) micronutrients and may be insufficient in HF. We hypothesize that EPI contributes to micronutrient deficiencies in HF. Objectives: To evaluate micronutrient concentrations in HF cases and their association with clinical characteristics and EPI. Materials and Methods: Plasma samples from 59 consecutive hospitalized patients with HF were analyzed for vitamins A, D, and E and the minerals selenium and zinc. EPI was defined as fecal elastase 1 level < 206 μg/g. Results: The mean age of patients was 59 ± 14 years, with 24 (41%) being women, and a median NT-proBNP concentration of 3726 [2104–6704] pg/mL was noted. Vitamin A deficiency occurred in eight (14%) of the patients, and 12 (20%) exceeded the upper limit. More than half (51%) were vitamin D-deficient. No patients showed vitamin E deficiency, but 14 (24%) had elevated levels. Selenium deficiency was common, affecting 36 (61%) patients, while zinc was below the normal range in seven patients (12%). Micronutrient levels did not differ significantly based on the presence of EPI. Conclusions: This study provides novel insights into the micronutrient status of patients with HF. Deficiencies in vitamins A and D, selenium, and zinc are prevalent in HF, but these findings are not associated with exocrine pancreatic function. Full article
(This article belongs to the Section Micronutrients and Human Health)
Show Figures

Figure 1

Figure 1
<p>Visual representation of distribution of nutrients in patients with HF compared to population-based reference values. Distribution of nutrients is indicated by the upper blue boxplot, displaying the median and interquartile ranges for vitamins A and D and the means with standard deviations for vitamin E, selenium, and zinc. The black lines refer to the minimum and maximum values. Reference values (0.025–0.975 of the population range) are indicated by the green bar. The red arrow bars indicate the number of patients who exceeded the lower or upper limit of normality. (<b>A</b>) Distribution of vitamin A. (<b>B</b>) Distribution of vitamin D. (<b>C</b>) Distribution of vitamin E. (<b>D</b>) Distribution of selenium. (<b>E</b>) Distribution of zinc.</p>
Full article ">
15 pages, 5489 KiB  
Article
Lethal Arrhythmogenic Role of Left Ventricular Myocardial Interstitial Fibrosis in Apolipoprotein E/Low-Density Lipoprotein Receptor Double-Knockout Mice with Metabolic Dysfunction-Associated Steatohepatitis
by Jinyao Liu, Yumiko Oba, Yosuke Kondo, Ryo Nakaki and Seiko Yamano
Int. J. Mol. Sci. 2025, 26(1), 144; https://doi.org/10.3390/ijms26010144 - 27 Dec 2024
Abstract
The combination of alcohol and a low-carbohydrate, high-protein, high-fat atherogenic diet (AD) increases the risk of lethal arrhythmias in apolipoprotein E/low-density lipoprotein receptor double-knockout (AL) mice with metabolic dysfunction-associated steatotic liver disease (MASLD). This study investigates whether left ventricular (LV) myocardial interstitial fibrosis [...] Read more.
The combination of alcohol and a low-carbohydrate, high-protein, high-fat atherogenic diet (AD) increases the risk of lethal arrhythmias in apolipoprotein E/low-density lipoprotein receptor double-knockout (AL) mice with metabolic dysfunction-associated steatotic liver disease (MASLD). This study investigates whether left ventricular (LV) myocardial interstitial fibrosis (MIF), formed during the progression of metabolic dysfunction-associated steatohepatitis (MASH), contributes to this increased risk. Male AL mice were fed an AD with or without ethanol for 16 weeks, while age-matched AL and wild-type mice served as controls. Liver and heart tissues were analyzed, and susceptibility to lethal arrhythmias was assessed through histopathology, fluorescence immunohistochemistry, RNA-Seq, RT-PCR, and lethal arrhythmia-evoked test. Ethanol combined with an AD significantly induced LV MIF in MASH-affected AL mice, as shown by increased fibrosis-related gene expression, Sirius-Red staining, and elevated collagen 1a1 and 3a1 mRNA levels, alongside a higher incidence of lethal arrhythmias. Cardiac myofibroblasts exhibited sympathetic activation and produced elevated levels of fibrosis-promoting factors. This study highlights the role of cardiac myofibroblasts in LV MIF, contributing to an increased incidence of lethal arrhythmias in MASH-affected AL mice fed ethanol and AD, even after the alcohol was fully metabolized on the day of consumption. Full article
(This article belongs to the Special Issue Molecular Mechanism and Pathogenesis of Cardiac Disease)
Show Figures

Figure 1

Figure 1
<p>The key characteristics of the animals. Representative results for body weight (BW) (<b>A</b>), liver weight (<b>B</b>), and LV weight (<b>C</b>). The data are presented as mean values with standard deviations (SDs). Statistical significance (* <span class="html-italic">p</span> &lt; 0.05 vs. WT+SCD, Et (−); <sup>†</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+SCD, EtOH (−); <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+AD, EtOH (−)) was determined using ANOVA followed by Bonferroni–Dunn post hoc test.</p>
Full article ">Figure 2
<p>The effects of a co-diet of ethanol and AD on hepatic fat accumulation, inflammation, and fibrosis. Examples of Oil-Red-O staining, CD68 immunostaining, and Sirius-Red staining of liver sections (<b>A</b>). The scale bars are 200 μm for Oil-Red-O and Sirius-Red staining and 30 μm for CD68 immunostaining. Representative results of hepatic Oil-Red-O content (<b>B</b>), CD68-positive area (<b>C</b>), <span class="html-italic">Cd68</span> mRNA expression (<b>D</b>), Sirius-Red content (<b>E</b>), and <span class="html-italic">Col 1a1</span> mRNA expression (<b>F</b>). The data are presented as mean values with standard deviations (SDs). Statistical significance (* <span class="html-italic">p</span> &lt; 0.05 vs. WT+SCD, Et (−); <sup>†</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+SCD, EtOH (−); <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+AD, EtOH (−)) was determined using ANOVA followed by Bonferroni–Dunn post hoc test.</p>
Full article ">Figure 3
<p>Sudden cardiac death resulting from the lethal arrhythmia-evoked test. Shown are representative electrocardiograms (ECGs) depicting the occurrence of complete atrioventricular block (CAVB), ventricular tachycardia (VT), and asystole induced by acute restraint stress (ARS) in AL mice fed with a co-diet of ethanol and AD. Each panel displays a 2 min ECG and 15 s zoomed-in lethal arrhythmia-evoked test, with an arrow indicating the onset of ARS.</p>
Full article ">Figure 4
<p>Ethanol and AD changed gene expression related to fibrosis in LV. Cellular components of the genes significantly changed in the gene ontology (GO) enrichment analysis: to assess the results of the RNA-Seq analysis in terms of cellular components, the genes that changed in mice LV myocardium were matched to the genes related to each GO term, and the 10 terms with the lowest <span class="html-italic">p</span>-value were listed (<b>A</b>). The heatmap shows the gene expression changes related to fibrosis in the LV, ranked by the lowest <span class="html-italic">p</span>-values as determined by RNA-Seq analysis (<b>B</b>).</p>
Full article ">Figure 5
<p>LV MIF resulting from the co-diet of ethanol and AD. Examples of LV sections stained with Sirius-Red (<b>A</b>), with a scale bar of 100 μm. Representative data of LV Sirius-Red content (<b>B</b>), LV <span class="html-italic">Col 1a1</span> mRNA expression (<b>C</b>), and LV <span class="html-italic">Col 3a1</span> mRNA expression (<b>D</b>). The data are presented as mean values with standard deviations (SDs). Statistical significance (* <span class="html-italic">p</span> &lt; 0.05 vs. WT+SCD, Et (−); <sup>†</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+SCD, EtOH (−); <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+AD, EtOH (−)) was determined using ANOVA followed by Bonferroni–Dunn post hoc test.</p>
Full article ">Figure 6
<p>The combination diet of ethanol and AD increased the co-localization of TH (sympathetic activation marker) and α-SMA (activated cardiac myofibroblast marker) and the co-localization of α-SMA and TGF-β1 (associated with fibrotic diseases) in the immunostained LV sections. Examples merging nuclear (DAPI, blue), TH, and α-SMA appear as pink and merging nuclear (DAPI, blue), α-SMA, and TGF-β1 appear as yellow (<b>A</b>) alongside measurements of the LV-TH-positive area (<b>B</b>), α-SMA-positive area (<b>C</b>), and TGF-β1-positive area (<b>D</b>) within the same visual field of immunostained LV sections. The scale bar denotes 30 μm. Results are presented as mean ± SD. Statistical significance was determined as * <span class="html-italic">p</span> &lt; 0.05 compared to WT+SCD, Et (−), <sup>†</sup> <span class="html-italic">p</span> &lt; 0.05 compared to AL+SCD, EtOH (−), and <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 compared to AL+AD, EtOH (−) using ANOVA followed by Bonferroni–Dunn post hoc test.</p>
Full article ">Figure 7
<p>The impact of a co-diet of ethanol and AD on the mRNA expressions in the LV as determined by RT-PCR. The mRNA levels of <span class="html-italic">Npy</span> (<b>A</b>), <span class="html-italic">Acta2</span> (<b>B</b>), and <span class="html-italic">Tgfb1</span> (<b>C</b>) in mice subjected to the lethal arrhythmia-evoked test. The data are presented as mean values with standard deviations (SDs). Statistical significance (* <span class="html-italic">p</span> &lt; 0.05 vs. WT+SCD, Et (−); <sup>†</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+SCD, EtOH (−); <sup>#</sup> <span class="html-italic">p</span> &lt; 0.05 vs. AL+AD, EtOH (−)) was determined using ANOVA followed by Bonferroni–Dunn post hoc test.</p>
Full article ">
12 pages, 932 KiB  
Article
Pacific Islands Families Study: Serum Uric Acid in Pacific Youth and the Associations with Free-Sugar Intake and Appendicular Skeletal Muscle Mass
by Shabnam Jalili-Moghaddam, Gael Mearns, Lindsay D. Plank, El-Shadan Tautolo and Elaine Rush
Nutrients 2025, 17(1), 54; https://doi.org/10.3390/nu17010054 - 27 Dec 2024
Abstract
Background: Fructose (50% of sucrose/sugar) is one component of free-sugars and is metabolized to uric acid, which is a known risk factor for gout and metabolic syndrome. Pacific peoples in New Zealand experience a higher prevalence of gout, type 2 diabetes, and overweight/obesity [...] Read more.
Background: Fructose (50% of sucrose/sugar) is one component of free-sugars and is metabolized to uric acid, which is a known risk factor for gout and metabolic syndrome. Pacific peoples in New Zealand experience a higher prevalence of gout, type 2 diabetes, and overweight/obesity than other ethnic groups. Interestingly, despite having a similar body mass index (BMI), they tend to have a higher proportion of appendicular skeletal muscle mass (ASMM) and less fat than other ethnic groups. Given this context, this study aimed to evaluate the associations between serum uric acid (SUA), free-sugar intake, and ASMM. Methods: In a nested sub-study from the Pacific Islands Families birth-cohort study, 101 boys and 99 girls (all aged 14 and 15 years) self-reported how often they had consumed foods containing sugar in the past month. Anthropometry, body fatness, and ASMM by dual-energy X-ray absorptiometry and metabolic risk factors, including SUA were measured. Results: Overall, 43% of girls and 57% of boys consumed ‘sugary drinks’ twice or more a day. When analyzed by group, ASMM was positively related to SUA for both boys and girls (r = 0.593, p < 0.0001). The effect of the intake of ‘sugary drinks’ on SUA (r = 0.176, p = 0.013) was reduced when ASMM was considered in the relationships. Conclusions: This study shows high SUA levels in Pacific adolescents, with a positive association between ASMM and SUA in both genders. Sugary drink intake was positively associated with SUA in both boys and girls. High ASMM in Pacific people and an increased risk for raised SUA make it important to work with Pacific communities to reduce added sugar intake and adopt integrated, family-based, culturally centered, and life-course approaches to prevent chronic diseases, including gout. Full article
(This article belongs to the Section Carbohydrates)
Show Figures

Figure 1

Figure 1
<p>Association model for all Pacific youth (<span class="html-italic">n</span> = 199) controlling for appendicular skeletal muscle mass (ASMM). * Indicates statistical significance.</p>
Full article ">Figure 2
<p>Association model for Pacific girls (<span class="html-italic">n</span> = 96) controlling for appendicular skeletal muscle mass (ASMM). * Indicates statistical significance.</p>
Full article ">Figure 3
<p>Association model for Pacific boys (<span class="html-italic">n</span> = 103) controlling for appendicular skeletal muscle mass (ASMM). * Indicates statistical significance.</p>
Full article ">
12 pages, 275 KiB  
Article
Effect of Strength Training on Body Composition, Volumetrics and Strength in Female Breast Cancer Survivors
by Rocío Pardo-Hernández, Jessica Fernández-Solana, Jerónimo J. González-Bernal, Ena Monserrat Romero-Pérez, Mario Alberto Horta-Gim, Luis Enrique Riojas Pesqueira, María Nieves Muñoz-Alcaraz, Josefa González-Santos and Mirian Santamaría-Peláez
Healthcare 2025, 13(1), 29; https://doi.org/10.3390/healthcare13010029 - 27 Dec 2024
Viewed by 164
Abstract
Background/Aims: This cross-sectional study investigates body composition and strength in female breast cancer survivors, focusing on the effects of radical mastectomy and the presence of upper extremity lymphoedema. The main objective was to understand body composition, volumetry, and strength, as well as response [...] Read more.
Background/Aims: This cross-sectional study investigates body composition and strength in female breast cancer survivors, focusing on the effects of radical mastectomy and the presence of upper extremity lymphoedema. The main objective was to understand body composition, volumetry, and strength, as well as response to strength training in female breast cancer survivors. Methods: Twenty-three women (aged 42–74 years old) with radical mastectomy in the last five years were assessed by measuring body composition (weight, water percentage, fat, muscle, and lean mass), maximal strength, perimeters, and brachial volumes. Participants completed a 10-week strength training program of moderate intensity with 20 training sessions. No significant differences were found between the affected/healthy hemispheres in terms of composition, perimeters, and volumetrics. However, 11 women were found to have lymphoedema (47.8%). No statistically significant differences were found between hemibodies after the intervention, although improvements were obtained in pectoral strength and manual grip, as well as in muscle mass and lean mass [p = 0.002 each]. Cases with lymphoedema were reduced to 5 (21.73%). Conclusions: While strength training is shown to benefit body composition, strength, and the incidence of lymphoedema in mastectomized women, further scientific evidence is needed with larger controlled trials and follow-up studies to validate these findings, as well as the impact on the quality of life of these survivors. Full article
(This article belongs to the Special Issue Updates on Oncology Rehabilitation)
13 pages, 976 KiB  
Article
Associations of Body Mass Index and Percent Body Fat with Osteoporosis, Sarcopenia, and Osteosarcopenia: A Retrospective Study Based on Postmenopausal Women in China
by Shengli Zhao, Jiacong Hong, Haonan Li, Xiaoyan Zhang, Yong Wan and Bailing Chen
Healthcare 2025, 13(1), 28; https://doi.org/10.3390/healthcare13010028 - 26 Dec 2024
Viewed by 217
Abstract
Background/Objectives: Alterations in the body mass index (BMI) and percent body fat (PBF) have been considered to be related to aging-induced changes in bone and muscle. This study aimed to evaluate the associations of the BMI and PBF with osteoporosis, sarcopenia, and [...] Read more.
Background/Objectives: Alterations in the body mass index (BMI) and percent body fat (PBF) have been considered to be related to aging-induced changes in bone and muscle. This study aimed to evaluate the associations of the BMI and PBF with osteoporosis, sarcopenia, and osteosarcopenia in postmenopausal women. Methods: A total of 342 participants who underwent musculoskeletal function assessments at the First Affiliated Hospital of Sun Yat-sen University between January 2015 and December 2022 were retrospectively screened. The diagnosis of osteoporosis was based on the WHO criteria, and sarcopenia was diagnosed according to the 2019 consensus of the Asian Working Group for Sarcopenia. Results: The BMI was positively correlated with the musculoskeletal function assessment parameters (bone mineral density, relative skeletal muscle index, and grip strength) and identified as an independent protective factor for sarcopenia alone (OR = 0.592, 95% CI: 0.455–0.769) or osteosarcopenia (OR = 0.411, 95% CI: 0.319–0.529), with a moderate diagnostic accuracy (area under the curve [AUC] = 0.682) for the former and a high diagnostic accuracy (AUC = 0.823) for the latter. However, the PBF was negatively correlated with the relative skeletal muscle index and identified as a risk factor for osteosarcopenia (OR = 1.404, 95% CI: 1.007–1.959), with a moderate diagnostic accuracy (AUC = 0.613). Conclusions: A higher BMI and lower PBF were associated with a lower prevalence of osteosarcopenia in postmenopausal women. Further research is required to elucidate the independent effects of the BMI and PBF on bone health. Full article
Show Figures

Figure 1

Figure 1
<p>Flow diagram of participant inclusion.</p>
Full article ">Figure 2
<p>Prevalence of diseases. (<b>a</b>) BMI-stratified; (<b>b</b>) PBF-stratified. Data are expressed as % (n). BMI, body mass index; PBF, percent body fat; OP, osteoporosis; SP, sarcopenia; OS, osteosarcopenia.</p>
Full article ">
19 pages, 845 KiB  
Article
Rehydrated Corn Grain Silage and Exogenous Protease: Effects on Dairy Cow Performance, Metabolism, and Starch Digestibility
by Jefferson R. Gandra, Rafael M. Mattos, Thais M. D. M. Soares, Cibeli A. Pedrini, Antônio C. Martinez, Euclides R. Oliveira, Erika R. S. Gandra, Wallison R. F. Vasconcelos and André C. Andrade
Dairy 2025, 6(1), 1; https://doi.org/10.3390/dairy6010001 - 26 Dec 2024
Viewed by 205
Abstract
Twenty-four Girolando cows (107 ± 56 days in milk, milk yield 22.0 ± 10.25 kg/d, and 529 ± 103 kg body weight) were used in a completely randomized design. The cows were divided according to the following experimental diets: 1—CON (basal diet with [...] Read more.
Twenty-four Girolando cows (107 ± 56 days in milk, milk yield 22.0 ± 10.25 kg/d, and 529 ± 103 kg body weight) were used in a completely randomized design. The cows were divided according to the following experimental diets: 1—CON (basal diet with ground dry corn) 2—RCS (diet with total replacement of ground corn by rehydrated corn grain silage) 3—RCSP (diet with total replacement of ground corn by rehydrated corn grain silage + 500 g ton−1 of CINBENZA DP100®, NOVUS International, Inc (Chesterfield, Missouri, U.S.A.). enzymatic extract of Bacillus licheniformis, protease activity 600 IU g−1). Cows fed RCS + RCSP showed higher DMI, milk yield, and better efficiency (MY/DMI) compared to animals fed CON diet. Cows fed the CON diet had higher fecal concentration, and lower total starch digestibility and milk protein content compared to animals supplemented with RCS + RCSP. Cows fed RCSP showed a 2.96% superiority in total starch digestibility compared to animals fed RCS. Animals supplemented with RCSP presented higher milk yield (17.45%) and milk fat content (13.76%) than cows fed RCS. The inclusion of protease in rehydrated corn silage improved dairy cow performance, enhancing dry matter intake, milk yield, and productive efficiency. It also increased starch digestibility and milk protein and fat content, optimizing nutrient utilization. Full article
(This article belongs to the Section Dairy Animal Nutrition and Welfare)
Show Figures

Figure 1

Figure 1
<p>Dry matter intake throughout the experimental period according to the experimental diets. Letters a, b, and c indicate statistical differences among treatments (CON, RCS, and RCSP) at each time point (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 2
<p>Fecal starch excretion throughout the experimental period according to the experimental diets. Letters a, b, and c indicate statistical differences among treatments (CON, RCS, and RCSP) at each time point (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 3
<p>Milk yield throughout the experimental period according to the experimental diets. Letters a, b, and c indicate statistical differences among treatments (CON, RCS, and RCSP) at each time point (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">
15 pages, 5681 KiB  
Article
Yolk and Casein Sequence Self-Assembly for Low-Oil Emulsion Gel and Its Application in Low-Fat Mayonnaise
by Anqi Bi, Beiwei Zhu, Ning Cong, Ming Du, Chao Wu, Ling Zhang, Yan Guo, Tingting Cheng, Pei Yu and Xianbing Xu
Foods 2025, 14(1), 36; https://doi.org/10.3390/foods14010036 - 26 Dec 2024
Viewed by 207
Abstract
High dietary fat food such as mayonnaise (70–80% oil content) can induce obesity and cardiovascular diseases, thus reducing their oil content is required. However, the development of low-fat mayonnaise is still a big challenge since reducing oil content will increase the fluidity, induce [...] Read more.
High dietary fat food such as mayonnaise (70–80% oil content) can induce obesity and cardiovascular diseases, thus reducing their oil content is required. However, the development of low-fat mayonnaise is still a big challenge since reducing oil content will increase the fluidity, induce phase separation and decrease the stability of mayonnaise. Herein, we provide a novel strategy for developing yolk–casein-based low-fat mayonnaise (30% oil content) with a similar texture to commercial high-fat mayonnaise through post-acidification. Unexpectedly, compared with pre-acid-treated low-fat mayonnaise, the G′ and viscosity of the post-acid-treated low-fat mayonnaise were significantly improved by 77.80% and 90.18%, respectively. The semisolid properties required for low-fat mayonnaise were realized by forming a dense yolk–casein self-assembly network structure. This study provides a novel perspective for constructing edible soft-solid products with low fat intake. Full article
(This article belongs to the Section Food Physics and (Bio)Chemistry)
Show Figures

Figure 1

Figure 1
<p>Interfacial tensions of casein, yolk–water with a mass ratio of 1:3, and yolk–casein mixture with a mass ratio of 1:3 with post-acid treatment (<b>A</b>) and the yolk–casein mixture with a mass ratio of 1:3 with various acid treatments (<b>B</b>). Figure (<b>A-2</b>) and (<b>B-2</b>) summarized interfacial tensions of samples according to Figure (<b>A-1</b>) and (<b>B-1</b>). Values with different letters (a–c) are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 2
<p>(<b>A</b>) CLSM images of stained yolk–casein-mixture-based low-fat mayonnaise with a mass ratio of 1:3 with pre-acid treatment (a) and post-acid treatment (b). The images containing single-channel images of FITC (green, for yolk) (I) and double-channel images of FITC (green, for yolk) and Nile red (red, for oil) (II). The scale bar is 10 μm. (<b>B</b>) SDS-PAGE of proteins in the continuous phase (a, b), desorbed proteins from interface (c, d), and residual protein at the interface (e, f) of pre-acid-treated (a, c, and e) and post-acid-treated (b, d, and f) yolk–casein-mixture-based low-fat mayonnaise with a mass ratio of 1:3.</p>
Full article ">Figure 3
<p>Visual appearances of the emulsions stabilized by casein, yolk–water with mass ratios of 1:1, 1:2, and 1:3 with post-acid treatment and the visual appearances of the low-fat mayonnaise prepared with yolk–casein mixture with mass ratios of 1:1, 1:2, and 1:3 with various acid treatment.</p>
Full article ">Figure 4
<p>Cryo-SEM images of the low-fat emulsions stabilized by casein, yolk–water with mass ratios of 1:1, 1:2, and 1:3 with post-acid treatment and Cryo-SEM images of the low-fat mayonnaise prepared with yolk–casein mixture with mass ratios of 1:1, 1:2, and 1:3 with various acid treatments.</p>
Full article ">Figure 5
<p>Optical microscopic images and droplet size distribution of low-fat mayonnaises prepared with yolk–casein mixture with mass ratios of 1:1, 1:2, and 1:3 and various acid treatments. The scale bar is 20 μm.</p>
Full article ">Figure 6
<p>LF-NMR spectra of the low-fat mayonnaise prepared with yolk–casein mixture with mass ratios of 1:1 (<b>A</b>), 1:2 (<b>B</b>), and 1:3 (<b>C</b>) with pre-acid and post-acid treatment. Figure (<b>A-2</b>–<b>C-2</b>) summarized T<sub>2</sub> values of samples according to Figure (<b>A-1</b>–<b>C-1</b>). Values with different letters (a–b) are significantly different (<span class="html-italic">p</span> &lt; 0.05).</p>
Full article ">Figure 7
<p>Rheological properties of the commercial mayonnaise and the low-fat mayonnaise prepared with yolk–casein mixture with mass ratios of 1:1 (<b>A</b>), 1:2 (<b>B</b>), and 1:3 (<b>C</b>) with pre-acid and post-acid treatment. (<b>1</b>) Amplitude sweeps, (<b>2</b>) Frequency sweeps, and (<b>3</b>) Viscosity tests.</p>
Full article ">
13 pages, 1680 KiB  
Article
Identification of Genetic Markers of APOM and CYP7A1 Genes Affecting Milk Production Traits in Chinese Holstein
by Yanan Liu, Zijiao Guo, Junqing Ni, Chendong Yang, Bo Han, Yabin Ma, Jianming Li, Guie Jiang, Weijie Zheng and Dongxiao Sun
Agriculture 2025, 15(1), 33; https://doi.org/10.3390/agriculture15010033 - 26 Dec 2024
Viewed by 189
Abstract
Our previous study identified the apolipoprotein M (APOM) and cytochrome P450 family 7 subfamily A polypeptide 1 (CYP7A1) genes as candidates for milk traits in dairy cattle, which were significantly up-regulated in liver tissue of Holstein cows between the [...] Read more.
Our previous study identified the apolipoprotein M (APOM) and cytochrome P450 family 7 subfamily A polypeptide 1 (CYP7A1) genes as candidates for milk traits in dairy cattle, which were significantly up-regulated in liver tissue of Holstein cows between the dry and lactation periods. The two genes play critical roles in the peroxisome proliferator-activated receptor (PPAR) pathway. In this study, we further confirmed whether the APOM and CYP7A1 genes had significant genetic impacts on milk production traits in a Chinese Holstein population. By dual-direction sequencing of the polymerase chain reaction (PCR) products of the complete coding sequences and 2000 bp of the 5′ and 3′ flanking regions on pooled DNA sample, seven and three single nucleotide polymorphisms (SNPs) were identified in APOM and CYP7A1, respectively. With SAS 9.2, phenotype-genotype association analysis revealed such SNPs were significantly associated with at least one of the milk production traits, including 305-day milk yield, milk fat yield, milk fat percentage, milk protein yield, and milk protein percentage in the first and second lactations (p = <0.01~0.04). With Haploview 4.2, we further found that six SNPs in APOM and thee SNPs in CYP7A1 formed one haplotype, respectively. The haplotypes were significantly associated with at least one of milk production traits as well (p = <0.01~0.02). Of note, we found the SNPs in the 5′ regulatory region, rs209293266 and rs110721287 in APOM and rs42765359 in CYP7A1, significantly impacted the gene transcriptional activity after mutation (p < 0.01) through changing the transcription factor binding sites by using luciferase assay experiments. Additionally, with RNAfold Web Server, rs110098953 and rs378530166 changed the mRNA secondary structures of APOM and CYP7A1 genes, respectively. In summary, our research is the first to demonstrate that APOM and CYP7A1 genes have significantly genetic effects on milk yield and composition traits, and the identified SNPs may serve as available genetic markers for genomic selection program in dairy cattle. Full article
(This article belongs to the Section Farm Animal Production)
Show Figures

Figure 1

Figure 1
<p>Sketches of recombinant plasmids. The red text refers to the different alleles. CG, GG, and CT: <span class="html-italic">APOM</span> gene sketches of recombinant plasmids. C and A: <span class="html-italic">CYP7A1</span> gene sketches of recombinant plasmids.</p>
Full article ">Figure 2
<p>LD extension among the identified SNPs in <span class="html-italic">APOM</span> and <span class="html-italic">CYP7A1</span>. The text above the haplotype blocks contains the SNP names. The numbers in the haplotype blocks represent D′, the redder the haplotype blocks, the stronger of LD. (<b>A</b>) LD among the 7 SNPs in <span class="html-italic">APOM</span>. (<b>B</b>) LD among the 3 SNPs in <span class="html-italic">CYP7A1</span>.</p>
Full article ">Figure 3
<p>Luciferase assay results in HEK293 cells. pGL4.14 + pRL-TK: Empty vector. (<b>A</b>) Luciferase activity analysis of rs209293266 and rs110721287 in <span class="html-italic">APOM</span> gene. (<b>B</b>) Luciferase activity analysis of rs42765359 in <span class="html-italic">CYP7A1</span> gene. **: <span class="html-italic">p</span> &lt; 0.01. *: <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4
<p>mRNA secondary structure prediction for SNPs in exon and UTR regions of <span class="html-italic">APOM</span> and <span class="html-italic">CYP7A1</span>. (<b>A</b>) The mRNA secondary structure of rs110098953 mutation A in <span class="html-italic">APOM</span>. (<b>B</b>) The mRNA secondary structure of rs110098953 mutation G in <span class="html-italic">APOM</span>. (<b>C</b>) The mRNA secondary structure of rs378530166 mutation A in <span class="html-italic">CYP7A1</span>. (<b>D</b>) The mRNA secondary structure of rs378530166 mutation G in <span class="html-italic">CYP7A1</span>. Different colors represent the probability of complementary base pairing in RNA sequences, with the probability ranging from 0 to 1 using blue to red.</p>
Full article ">Figure 4 Cont.
<p>mRNA secondary structure prediction for SNPs in exon and UTR regions of <span class="html-italic">APOM</span> and <span class="html-italic">CYP7A1</span>. (<b>A</b>) The mRNA secondary structure of rs110098953 mutation A in <span class="html-italic">APOM</span>. (<b>B</b>) The mRNA secondary structure of rs110098953 mutation G in <span class="html-italic">APOM</span>. (<b>C</b>) The mRNA secondary structure of rs378530166 mutation A in <span class="html-italic">CYP7A1</span>. (<b>D</b>) The mRNA secondary structure of rs378530166 mutation G in <span class="html-italic">CYP7A1</span>. Different colors represent the probability of complementary base pairing in RNA sequences, with the probability ranging from 0 to 1 using blue to red.</p>
Full article ">
12 pages, 488 KiB  
Article
The Association of Dining Companionship with Energy and Nutrient Intake Among Community-Dwelling Japanese Older Adults
by Yuki Minagawa-Watanabe, Shigekazu Ukawa, Tomoe Fukumura, Satoe Okabayashi, Masahiko Ando, Kenji Wakai, Kazuyo Tsushita and Akiko Tamakoshi
Nutrients 2025, 17(1), 37; https://doi.org/10.3390/nu17010037 - 26 Dec 2024
Viewed by 231
Abstract
Background: Community-dwelling older adults are at risk of malnutrition due to age-related declines in energy and nutrient intake. While the positive effect of dining companions on energy and nutrient intake has been suggested, evidence remains inconclusive. This study investigated the association between the [...] Read more.
Background: Community-dwelling older adults are at risk of malnutrition due to age-related declines in energy and nutrient intake. While the positive effect of dining companions on energy and nutrient intake has been suggested, evidence remains inconclusive. This study investigated the association between the number of dining companions and energy and nutrient intake, as well as the contribution of specific food groups to higher intake in the presence of dining companions. Methods: This cross-sectional study included 2865 community-dwelling older adults. The number of dining companions was assessed through self-administered questionnaires and categorized into three groups (none, 1, ≥2). Dietary intake was evaluated using a validated food frequency questionnaire, and multivariable regression analyses were conducted to control for potential confounders. Results: Participants dining with two or more companions consumed significantly more energy (β 143.85; 95% CI: 30.05, 257.65; p for trend = 0.01), protein (β 6.32; 95% CI: 1.05, 11.59), fat (β 6.78; 95% CI: 2.44, 11.12; p for trend = 0.002), and carbohydrates (β 17.43; 95% CI: 1.48, 33.37; p for trend = 0.06) compared to those dining alone. They also consumed higher amounts of rice, fats and oils, meat, other vegetables, fruits, and mushrooms. Conclusions: Dining with two or more companions is associated with greater energy and nutrient intake, particularly from energy- and nutrient-dense foods. Encouraging shared meals could serve as a potential approach to support dietary quality and address risks of malnutrition in older adults. Full article
(This article belongs to the Section Nutritional Epidemiology)
Show Figures

Figure 1

Figure 1
<p>Participant flow of the present study.</p>
Full article ">
11 pages, 561 KiB  
Article
Animal as the Solution II: Phenotyping for Low Milk Urea Nitrogen A1PF Dairy Cows
by Fabiellen C. Pereira, Sagara Kumara, Anita Fleming, Shu Zhan Lai, Ella Wilson and Pablo Gregorini
Animals 2025, 15(1), 32; https://doi.org/10.3390/ani15010032 - 26 Dec 2024
Viewed by 211
Abstract
The societal pressure on intensive pastoral dairying demands the search for strategies to reduce the amount of N flowing through and excreted by dairy cows. One of the strategies that is being currently explored focuses on the animal as a solution, as there [...] Read more.
The societal pressure on intensive pastoral dairying demands the search for strategies to reduce the amount of N flowing through and excreted by dairy cows. One of the strategies that is being currently explored focuses on the animal as a solution, as there are differences in N metabolism between cows even within the same herd. This work was conducted to explore such an approach in A1PF herds in New Zealand and the possibility of identifying A1PF cows that are divergent for milk urea nitrogen (MUN) concentration through phenotyping as a potential viable strategy to reduce N leaching and emissions from temperate dairy systems. Three herd tests were conducted to select a population sample of 200 cows (exhibiting the lowest 100 and highest 100 MUN concentrations). Milk samples were collected from the 200 cows during mid and late lactation to test for milk solids content and MUN. From the 200 cows, urine for urinary N concentration (UN), blood for plasma urea N, total antioxidants (TAS), and glutathione peroxidase (GPx) were collected from the 20 extremes (the lowest 10 and highest 10 MUN concentrations). Milk urea N was greater in cows selected as high-MUN cows (16.2 vs. 14.32 ± 0.23 mg/dL) and greater during late lactation (16.9 vs. 13.0 ± 0.19 mg/dL). Milk solids and fat content were 38% and 20% greater in cows selected as low-MUN cows than in high-MUN cows during mid lactation (p < 0.001). Low-MUN cows had lower UN than high-MUN cows during mid lactation (0.64 vs. 0.88 ± 0.11%). The N concentration in the plasma (p = 0.01) and Tas (p = 0.06) were greater during late lactation. There was a positive relationship between the MUN concentration phenotype used for selection and the MUN concentration for the trial period and MUN concentration and UN concentration during mid and late lactation (p < 0.001). Our results suggest that A1PF cows within a commercial herd can be phenotyped and selected for low-MUN, which may be potentially a viable strategy to reduce N losses to the environment and create healthier systems. Following genetic tracking, those cows can be bred to further promote low-MUN A1PF herds. Full article
Show Figures

Figure 1

Figure 1
<p>The milk urea N (MUN) values from cows during sampling points at mid and late lactation are affected by the cow MUN value at the phenotyping. For every one-unit increase in MUN at the phenotyping, there was a subsequent 0.35 mg increase in N from urea per dL of milk (<span class="html-italic">p</span> &lt; 0.0001). The sampling period affected the intercept of the regression line (<span class="html-italic">p</span> &lt; 0.0001). The regression model’s adjusted R<sup>2</sup> = 0.32.</p>
Full article ">
28 pages, 10378 KiB  
Article
Effects of Long-Term Fasting on Gut Microbiota, Serum Metabolome, and Their Association in Male Adults
by Feng Wu, Yaxiu Guo, Yihua Wang, Xiukun Sui, Hailong Wang, Hongyu Zhang, Bingmu Xin, Chao Yang, Cheng Zhang, Siyu Jiang, Lina Qu, Qiang Feng, Zhongquan Dai, Chunmeng Shi and Yinghui Li
Nutrients 2025, 17(1), 35; https://doi.org/10.3390/nu17010035 - 26 Dec 2024
Viewed by 262
Abstract
Background: Long-term fasting demonstrates greater therapeutic potential and broader application prospects in extreme environments than intermittent fasting. Method: This pilot study of 10-day complete fasting (CF), with a small sample size of 13 volunteers, aimed to investigate the time-series impacts on gut microbiome, [...] Read more.
Background: Long-term fasting demonstrates greater therapeutic potential and broader application prospects in extreme environments than intermittent fasting. Method: This pilot study of 10-day complete fasting (CF), with a small sample size of 13 volunteers, aimed to investigate the time-series impacts on gut microbiome, serum metabolome, and their interrelationships with biochemical indices. Results: The results show CF significantly affected gut microbiota diversity, composition, and interspecies interactions, characterized by an expansion of the Proteobacteria phylum (about six-fold) and a decrease in Bacteroidetes (about 50%) and Firmicutes (about 34%) populations. Notably, certain bacteria taxa exhibited complex interactions and strong correlations with serum metabolites implicated in energy and amino acid metabolism, with a particular focus on fatty acylcarnitines and tryptophan derivatives. A key focus of our study was the effect of Ruthenibacterium lactatiformans, which was highly increased during CF and exhibited a strong correlation with fat metabolic indicators. This bacterium was found to mitigate high-fat diet-induced obesity, glucose intolerance, dyslipidemia, and intestinal barrier dysfunction in animal experiments. These effects suggest its potential as a probiotic candidate for the amelioration of dyslipidemia and for mediating the benefits of fasting on fat metabolism. Conclusions: Our pilot study suggests that alterations in gut microbiota during CF contribute to the shift of energy metabolic substrate and the establishment of a novel homeostatic state during prolonged fasting. Full article
Show Figures

Figure 1

Figure 1
<p>The impact of 10-day complete fasting on human gut microbiota’s diversity, difference and composition. (<b>A</b>) A schematic of the study design and the time points of sample collection. (<b>B</b>) Comparison of alpha-diversity based on Shannon index in the gut microbiota at different time points. (<b>C</b>) Principal coordinate analysis (PCoA) plot of the gut microbiota during complete fasting experiment based on the Bray–Curtis distances. (<b>D</b>) The distribution of Bray–Curtis distances from samples among the different courses in the complete fasting experiment based on the abundance. (<b>E</b>,<b>G</b>,<b>H</b>) The stacked bar plot showed the relative abundance of the gut microbiota at the phylum (<b>E</b>), genus (<b>G</b>), and species (<b>H</b>) levels, respectively. Each bar represents the mean of all detected samples at each time point. (<b>F</b>) The Firmicutes to Bacteroidetes ratio at each time point. Boxes and whiskers showed quartiles with outliers as individual points. * <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; Significant difference (<span class="html-italic">p</span> &lt; 0.05) determined by Wilcox test. (<b>B</b>,<b>D</b>,<b>F</b>), PERMANOVA test. (<b>C</b>) BF: before fasting; CF3<sup>:</sup> 3rd day of complete fasting; CF9<sup>:</sup> 9th day of complete fasting; CR3<sup>:</sup> 3rd day of calorie restriction; FR5<sup>:</sup> 5th day of full recovery. Sample number is 13 at BF3 and FR5, 7 at CF3, 6 at CF9, and 12 at CR3.</p>
Full article ">Figure 2
<p>Ten-day complete fasting induced the different change profiles of human gut species. (<b>A</b>) Clustered profiles of changed species across the complete fasting times inferred by STEM analysis. Statistically significant profiles (<span class="html-italic">p</span> &lt; 0.05) are represented in color. Similar colors represented the same type of change profile. The upper left number is the profile ID, and the lower left number presents the species count in each box. (<b>B</b>) Heatmap of the relative abundance of the species with significant difference (based on the Permutation test) using log10(X + min(X [X! = 0]) (X: the relative abundance of the species)) by R with colors gradually changing from blue to red, corresponding to low and high relative abundance, respectively, and trend (based on the STEM analysis) (<span class="html-italic">p</span> &lt; 0.05) during the complete fasting experiment. (<b>C</b>) The ridgeline plot shows the top 10 most abundant species in the heatmap. BF: before fasting; CF3: 3rd day of complete fasting; CF9: 9th day of complete fasting; CR3: 3rd day of calorie restriction; FR5: 5th day of full recovery.</p>
Full article ">Figure 3
<p>Ten-day CF impacted the correlation of the human gut microbiota. (<b>A</b>) Network analysis of the interactions between the differential species based on the Spearman correlation coefficients (|r| ≥ 0.8 and <span class="html-italic">p</span> &lt; 0.05). The fill color of the circles and diamonds represented the corresponding phylum. <span class="html-italic">Ethanoligenens harbinense</span> and <span class="html-italic">Intestinimonas butyriciproducens</span> connected with more species. (<b>B</b>) The relative abundance fluctuations of the species in the correlation network over the five time points. The node size positively correlated with its relative abundance. (<b>C</b>) The ridgeline plot shows the network topological parameters. BF: before fasting; CF3: 3rd day of complete fasting; CF9: 9th day of complete fasting; CR3: 3rd day of calorie restriction; FR5: 5th day of full recovery.</p>
Full article ">Figure 4
<p>Ten-day complete fasting restructured serum metabolome. (<b>A</b>) The principal component analysis (PCA) plot of serum metabolites during the CF experiments based on Bray–Curtis distances. (<b>B</b>) Clustered results in the serum metabolites with K-Means. (<b>C</b>) Significant change profiles (<span class="html-italic">p</span> &lt; 0.05) of serum metabolites in ESI+ and ESI− modes across the different time points by STEM analysis. The upper left number was the profile ID, and the lower left number presented the metabolite count in each box. (<b>D</b>) Metabolite set enrichment analysis (MSEA) of the significantly enriched and affected metabolic pathways for the serum metabolites (both ESI+ and ESI−) with an increasing trend. (<b>E</b>,<b>G</b>,<b>H</b>) The top 25 enriched metabolic pathways of differential metabolites at CF3 (<b>E</b>), CF6 (<b>G</b>), and CF9 (<b>H</b>) using the MetaboAnalyst metabolic pathway analysis tool. (<b>F</b>) Venn diagram of the number of enriched metabolic pathways among CF3, CF6, and CF9. The 12 common pathways were highlighted in Subfigure (<b>E</b>) with a red underline. ESI+: positive electrospray ionization; ESI−: negative electrospray ionization; BF: before fasting; CF3: 3rd day of complete fasting; CF9: 9th day of complete fasting; CR3: 3rd day of calorie restriction; FR5: 5th day of full recovery.</p>
Full article ">Figure 5
<p>The relationship between differential metabolites and gut microbiota during a 10-day complete fast. (<b>A</b>) Network diagram of the correlation between gut microbiota and serum metabolites. The circle and diamond represented the bacteria species and metabolites, respectively. The node size positively correlates with relative abundance. The fill color of the circle represented its corresponding phylum. The line thickness was proportional to the absolute value of the correlation coefficient (|r| &gt; 0.8 and <span class="html-italic">p</span> &lt; 0.05). The red line means a positive correlation, and the blue line means a negative correlation. (<b>B</b>) The relative abundance fluctuations of gut microbiota and serum metabolites in the correlation network over the five time points. The node size positively correlates with relative abundance. (<b>C</b>) Venn diagram of the metabolite number from host or bacteria. BF: before fasting; CF3: 3rd day of complete fasting; CF9: 9th day of complete fasting; CR3: 3rd day of calorie restriction; FR5: 5th day of full recovery.</p>
Full article ">Figure 6
<p>Correlation analysis between serum differential metabolites or fat metabolism relative biochemical indexes (BCIs) and differential gut microbiota during the 10-day complete fasting. (<b>A</b>) The percent of gut microbiota counts with |r| &gt; 0.6 and <span class="html-italic">p</span> &lt; 0.05 with serum metabolites. The correlation diagram between <span class="html-italic">Ruthenibacterium lactatiformans</span> and fat acylcarnitine (<b>B</b>) Hexadec-2-enoylcarnitine, (<b>C</b>) vaccenylcarnitine, (<b>D</b>) L-palmitoylcarnitine, (<b>E</b>) L-acetylcarnitine, and (<b>F</b>) 5-tetradecenoylcarnitine) with |r| &gt; 0.7 and its relative abundance changes of <span class="html-italic">Ruthenibacterium lactatiformans</span> (<b>G</b>). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, VS. BF, n = 13. (<b>H</b>) The percent of gut microbiota counts with |r| &gt; 0.6 and <span class="html-italic">p</span> &lt; 0.05 with fat metabolism relative to BCIs. (<b>I</b>) The percent of fat metabolism relative BCIs counts with |r| &gt; 0.6 and <span class="html-italic">p</span> &lt; 0.05 with gut microbiota. (<b>J</b>,<b>K</b>) Correlation diagram of low-density lipoprotein cholesterol (LDL-C) and total cholesterol (CHOL) with <span class="html-italic">Intestinimonas butyriciproducens</span>. (<b>L</b>,<b>M</b>) The redundancy analysis (RDA) between differential gut microbiota and BCIs during fasting. BF: before fasting; CF3: 3rd day of complete fasting; CF9: 9th day of complete fasting; CR3: 3rd day of calorie restriction; FR5: 5th day of full recovery.</p>
Full article ">Figure 7
<p>Serum level changes of tryptophan derivative metabolites and enzymes during 10-day complete fasting. (<b>A</b>) Serotonin detected by ELISA; (<b>B</b>,<b>C</b>,<b>E</b>,<b>G</b>–<b>I</b>) The relative abundance changes original from metabolome. (<b>D</b>,<b>F</b>) The correction between indolelactic acid, indoline, and <span class="html-italic">Ruthenibacterium lactatiformans</span>. (<b>J</b>,<b>K</b>) The relative abundance of Tryptophan metabolic enzymes original from metagenome sequencing. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, VS. BF. BF: before fasting (n = 13); CF3: 3rd day of complete fasting (n = 13 for serum and n = 7 for fecal); CF6: 6th day of complete fasting (n = 13); CF9: 9th day of complete fasting (n = 13 for serum and n = 6 for fecal); CR3: 3rd day of calorie restriction (n = 13 for serum and n = 12 for fecal); FR5: 5th day of full recovery (n = 13).</p>
Full article ">Figure 8
<p>The protective effects of <span class="html-italic">Ruthenibacterium lactatiformans</span> and ILA on HFD-induced obesity and metabolic abnormalities. Mice were fed an HFD or co-administrated <span class="html-italic">Ruthenibacterium lactatiformans</span> or ILA alternately every other day for 9 weeks. (<b>A</b>) body weight every week. (<b>B</b>) body weight gain percent at 9th week. The weight of epididymal fat pad (<b>C</b>) and liver (<b>D</b>). The HE staining (<b>E</b>) of epididymal fat and adipocyte size analysis (<b>F</b>). The serum concentration of CHOL (<b>G</b>), triglycerides (<b>H</b>), low-density lipoprotein (<b>I</b>), high-density lipoprotein (<b>J</b>), D-Lactate (<b>L</b>) and Diamine oxidase (<b>M</b>). (<b>K</b>) intraperitoneal glucose tolerance test. CN: with control diet, HFD: high-fat diet, ILA: indolelactic acid, RL: <span class="html-italic">Ruthenibacterium lactatiformans,</span> CHOL: total cholesterol, TG: triglycerides, LDL: low-density lipoprotein, HDL: high-density lipoprotein. AUC: area under curve, IGTT: intraperitoneal glucose tolerance test. ## <span class="html-italic">p</span> &lt; 0.01, vs. HFD; * <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, n = 6 for CN group and n = 8 for other groups.</p>
Full article ">
Back to TopTop