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Search Results (2,476)

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Keywords = bone metabolism

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16 pages, 1254 KiB  
Article
Metabolic Bone Disease in Captive Flying Foxes: A Comprehensive Survey Across Zoological Parks
by Diana Faim, Filipe Silva, Anton Weissenbacher, Iris Starnberger and Isabel Pires
Vet. Sci. 2025, 12(3), 271; https://doi.org/10.3390/vetsci12030271 - 13 Mar 2025
Abstract
Metabolic bone disease (MBD) is clinically characterized by bone deformities and is associated with vitamin D3 deficiency in diurnal animals. However, the pathogenesis and etiology of this condition in flying foxes, considered nocturnal animals, are poorly understood. Therefore, we conducted a survey aimed [...] Read more.
Metabolic bone disease (MBD) is clinically characterized by bone deformities and is associated with vitamin D3 deficiency in diurnal animals. However, the pathogenesis and etiology of this condition in flying foxes, considered nocturnal animals, are poorly understood. Therefore, we conducted a survey aimed at various zoological parks housing flying foxes to elucidate the pathogenesis and etiology of MBD in these animals. Our results indicate that vitamin D3 may play a role in preventing metabolic bone disease in flying foxes due to its involvement in calcium absorption. However, these nocturnal animals seem to obtain vitamin D3 primarily through dietary sources in contrast to the cutaneous absorption described in diurnal species. Additionally, our results suggest that an appropriate diet for this species, including fruits, green vegetables, and other protein sources such as animal products and mineral supplementation, could contribute to preventing metabolic bone disease. Full article
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<p>Distribution and number of zoological parks. World map adapted from Slidesgo (Freepik Company, S.L.U., Málaga, Spain).</p>
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<p>Number of individuals per species in the zoological parks studied.</p>
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<p>Percentage of fruit per color group consumed by flying foxes in the participating parks (x: mean, •: outliers).</p>
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<p>Number of flying foxes with access to different light conditions and vitamin D3 supplementation.</p>
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17 pages, 1758 KiB  
Review
Rhythms in Remodeling: Posttranslational Regulation of Bone by the Circadian Clock
by Vincent G. Yuan
Biomedicines 2025, 13(3), 705; https://doi.org/10.3390/biomedicines13030705 - 13 Mar 2025
Viewed by 11
Abstract
The circadian clock is a fundamental timekeeping system that regulates rhythmic biological processes in response to environmental light–dark cycles. In mammals, core clock genes (CLOCK, BMAL1, PER, and CRY) orchestrate these rhythms through transcriptional–translational feedback loops, influencing various physiological functions, including bone remodeling. [...] Read more.
The circadian clock is a fundamental timekeeping system that regulates rhythmic biological processes in response to environmental light–dark cycles. In mammals, core clock genes (CLOCK, BMAL1, PER, and CRY) orchestrate these rhythms through transcriptional–translational feedback loops, influencing various physiological functions, including bone remodeling. Bone homeostasis relies on the coordinated activities of osteoblasts, osteoclasts, and osteocytes, with increasing evidence highlighting the role of circadian regulation in maintaining skeletal integrity. Disruptions in circadian rhythms are linked to bone disorders such as osteoporosis. Posttranslational modifications (PTMs), including phosphorylation, acetylation, and ubiquitination, serve as crucial regulators of both circadian mechanisms and bone metabolism. However, the specific role of PTMs in integrating circadian timing with bone remodeling remains underexplored. This review examines the intersection of circadian regulation and PTMs in bone biology, elucidating their impact on bone cell function and homeostasis. Understanding these interactions may uncover novel therapeutic targets for skeletal diseases associated with circadian disruptions. Full article
(This article belongs to the Special Issue New Insights into Bone and Cartilage Biology)
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<p>Circadian regulation of bone remodeling. Bone remodeling is a continuous process driven by the balanced activity of osteoclasts, responsible for bone resorption, and osteoblasts, which facilitate new bone formation. Maintaining this equilibrium is crucial for preserving skeletal health. Osteoclasts degrade the bone matrix, releasing minerals into circulation, while osteoblasts synthesize and mineralize new bone tissue. Core genes of the circadian clock are fundamental in controlling bone remodeling. The Bmal1/Clock complex initiates the expression of circadian-regulated genes, while Per/Cry and Rev-erb-α function as suppressors, creating rhythmic gene expression patterns that impact osteoclast and osteoblast activity. In osteoclasts, circadian genes influence bone resorption by controlling essential regulators, including osteoprotegerin (OPG), sclerostin (SRTs), Nfatc1, RANKL, and FABP4. In osteoblasts, circadian control influences bone formation through pathways involving protein disulfide isomerase family A member 3 (Pdia3), Wnt signaling, matrix metalloproteinase-3 (Mmp3), chemokine (C-C motif) ligand 3 (CCl3), and interleukin-6 (IL6). These molecular interactions underscore the critical influence of circadian rhythms in maintaining skeletal balance.</p>
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<p>Regulation of bone remodeling through protein modifications. Bone remodeling is a highly controlled process that relies on the coordinated actions of osteoblasts, chondrocytes, and osteoclasts to regulate bone formation, cartilage maturation, and resorption. Protein modifications after translation are essential for regulating the stability, activity, and function of key signaling molecules throughout this process. This study focuses on four major protein modifications—phosphorylation, acetylation, ubiquitination, and sumoylation—in bone remodeling. These PTMs collectively orchestrate the cellular processes necessary for maintaining bone homeostasis and skeletal integrity.</p>
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<p>Circadian regulation of protein modifications in bone remodeling. Core circadian proteins, including CLOCK/BMAL1, CRY/PER, and REV-ERB, play essential roles in regulating posttranslational modifications that influence bone remodeling. These proteins regulate rhythmic variations in phosphorylation, acetylation, sumoylation, and ubiquitination, influencing the stability and function of critical signaling molecules responsible for bone formation and resorption. CLOCK regulates the acetylation of BMAL1 and NF-κB, impacting transcriptional activity in bone cells. BMAL1, in turn, controls the phosphorylation of casein kinase 2 (CK2), a key regulator of osteoblast function, while BMAL1 ubiquitination also contributes to bone remodeling by modulating protein stability and degradation. CRY and PER influence phosphorylation and protein interactions critical for circadian regulation. CRY controls the phosphorylation of casein kinase 1 (CK1) and interacts with ubiquitin ligases FBXL3 and FBXL21, which regulate protein degradation. Similarly, PER regulates CK1 phosphorylation and the sumoylation of BMAL1/CLOCK, affecting transcriptional feedback loops. Additionally, PER interacts with β-TrCP, a component of the ubiquitin–proteasome system. REV-ERB further integrates the circadian control of protein modifications by associating with acetylation- and ubiquitination-related proteins, influencing bone homeostasis.</p>
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<p>Core circadian factors, posttranslational modifications, and their roles in bone remodeling. This table presents the key circadian regulators—CLOCK, BMAL1, PER, and CRY—and their interactions with PTM-associated proteins. These alterations are essential for controlling bone remodeling and have been linked to various bone disorders. CLOCK promotes osteoclast differentiation through the acetylation of H3K14 and regulation of RANKL and contributes to osteoarthritis via phosphorylation and acetylation of NF-κB. BMAL1 regulates bone formation through various mechanisms, such as SUMO3-mediated sumoylation (associated with reduced bone mass) and phosphorylation processes that impact GSK/Wnt/β-catenin, SMAD1, ERK, JNK, and GSK-3β, all of which influence osteoblast development and bone mineralization. PER contributes to osteoblast development and mineralization through β-TrCP-mediated ubiquitination, whereas CRY influences these processes via FBXL3-driven ubiquitination. These findings underscore the complex interplay between circadian regulation, PTMs, and skeletal homeostasis, highlighting potential therapeutic targets for bone-related disorders.</p>
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22 pages, 12982 KiB  
Article
Effect of Hydrothermal Coatings of Magnesium AZ31 Alloy on Osteogenic Differentiation of hMSCs: From Gene to Protein Analysis
by Viviana Costa, Lavinia Raimondi, Simone Dario Scilabra, Margot Lo Pinto, Daniele Bellavia, Angela De Luca, Pasquale Guglielmi, Angela Cusanno, Luca Cattini, Lia Pulsatelli, Matteo Pavarini, Roberto Chiesa and Gianluca Giavaresi
Materials 2025, 18(6), 1254; https://doi.org/10.3390/ma18061254 - 12 Mar 2025
Viewed by 103
Abstract
An Mg-based alloy device manufactured via a superplastic forming process (Mg-AZ31+SPF) and coated using a hydrothermal method (Mg AZ31+SPF+HT) was investigated as a method to increase mechanical and osteointegration capability. The cell viability and osteointegrative properties of alloy-derived Mg AZ31+SPF and Mg AZ31+SPF+HT [...] Read more.
An Mg-based alloy device manufactured via a superplastic forming process (Mg-AZ31+SPF) and coated using a hydrothermal method (Mg AZ31+SPF+HT) was investigated as a method to increase mechanical and osteointegration capability. The cell viability and osteointegrative properties of alloy-derived Mg AZ31+SPF and Mg AZ31+SPF+HT extracts were investigated regarding their effect on human mesenchymal stem cells (hMSCs) (maintained in basal (BM) and osteogenic medium (OM)) after 7 and 14 days of treatment. The viability was analyzed through metabolic activity and double-strand DNA quantification, while the osteoinductive effects were evaluated through qRT-PCR, osteoimage, and BioPlex investigations. Finally, a preliminary liquid mass spectrometry analysis was conducted on the secretome of hMSCs. Biocompatibility analysis revealed no toxic effect on cells’ viability or proliferation during the experimental period. A modulation effect was observed on the osteoblast pre-commitment genes of hMSCs treated with Mg-AZ31+SPF+HT in OM, which was supported by mineralization nodule analysis. A preliminary mass spectrometry investigation highlighted the modulation of protein clusters involved in extracellular exosomes, Hippo, and the lipid metabolism process. In conclusion, our results revealed that the Mg AZ31+SPF+HT extracts can modulate the canonical and non-canonical osteogenic process in vitro, suggesting their possible application in bone tissue engineering. Full article
(This article belongs to the Special Issue Nanocomposite High Performance Alloys)
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Graphical abstract
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<p>Viability evaluation of hMSCs treated with Mg AZ31 extracts. Cell viability assays of hMSCs treated for 7 and 14 days with Mg AZ31+SPF or Mg AZ31+SPF+HT extracts, maintained in BM or OM: WST-1 (<b>A</b>) and PicoGreen (<b>B</b>). Data are expressed as the value of a 450 nm or as the quantity of DNAds (pg/mL). A two-way ANOVA test was used to evaluate the effect of the different Mg AZ31 extract treatments in basal or osteogenic medium (°), for the same extracts over the experimental period (§), or compared to untreated cells (*) (one symbol, <span class="html-italic">p</span> &lt; 0.05; two symbols, <span class="html-italic">p</span> &lt; 0.005, and three symbols, <span class="html-italic">p</span> &lt; 0.0005). All experiments were triplicated, with the data expressed as mean ± SD.</p>
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<p>Osteogenic effects of Mg AZ31 extracts on hMSCs. qRT-PCR analysis of BMP-2 (<b>A</b>), SP-7 (<b>B</b>), and ALPL (<b>C</b>) gene expression on hMSCs treated for 7 and 14 days with Mg AZ31+SPF or Mg AZ31+SPF+HT extracts maintained in BM or OM. Data are expressed as fold of change (FOI) in gene expression (2<sup>−ΔΔCt</sup>) that occurred in treated vs. untreated cells. (<b>D</b>) OsteoImage mineralization assay conducted on hMSCs treated for 7 and 14 days with Mg AZ31+SPF or Mg AZ31+SPF+HT extracts maintained in OM. The images were acquired with 10× of grading on a Nikon Fluorescence Microscopy. A two-way ANOVA test was used to evaluate the effect of the different Mg AZ31 extract treatments in basal or osteogenic medium (°), for the same extracts over the experimental period (§), or compared to untreated cells (*) (one symbol, <span class="html-italic">p</span> &lt; 0.05; two symbols, <span class="html-italic">p</span> &lt; 0.005, and three symbols, <span class="html-italic">p</span> &lt; 0.0005). All experiments were triplicated, with the data expressed as mean ± SD.</p>
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<p>Analysis of fibrotic potential of Mg AZ31+SPF and Mg AZ31+SPF+HT extracts on hMSCs supernatant soluble factors. BioPlex analysis of the anti-fibrotic supernatant soluble factors (<b>A</b>) IFNγ and (<b>B</b>) TNFα and the pro-fibrotic soluble factors (<b>C</b>) TGFβ1, (<b>D</b>) TGFβ2, and (<b>E</b>) procollagen α1 released from hMSCs treated with Mg AZ31+SPF or Mg AZ31+SPF+HT extracts for 7 and 14 days in BM or OM. Data are expressed as the fold of induction (FOI) of treated vs. untreated cells. A two-way ANOVA test was used to evaluate the effect of the different Mg AZ31 extract treatments in basal or osteogenic medium (°) or for the same extracts over the experimental period (§) (one symbol, <span class="html-italic">p</span> &lt; 0.05; two symbols, <span class="html-italic">p</span> &lt; 0.005, and three symbols, <span class="html-italic">p</span> &lt; 0.0005). All experiments were triplicated, with the data expressed as mean ± SD.</p>
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<p>Mass spectrometric investigation of hMSCs treated with Mg AZ31+SPF or Mg AZ31+SPF+HT extracts. Representation of up- and downregulated proteins derived from the comparison of secretomes from hMSCs treated with Mg AZ31+SPF+HT extracts versus secretomes from hMSCs treated with Mg AZ31+SPF extracts, after 7 days (<b>A</b>) or 14 days (<b>B</b>). A fold of indication &gt; 1.5 was used as the cut-off.</p>
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<p>PHANTER analysis of secretome data. PANTHER pie charts of the (<b>A</b>) protein classes, (<b>B</b>) biological processes, and (<b>C</b>) molecular functions associated with increased proteins derived from the secretome of hMSCs treated with Mg AZ31+SPF+HT extracts versus the secretome of hMSCs treated with Mg AZ31+SPF extracts for 7 days.</p>
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<p>PHANTER analysis of secretome data. PANTHER pie charts of the (<b>A</b>) protein classes, (<b>B</b>) biological processes, and (<b>C</b>) molecular functions associated with increased proteins derived from the secretome of hMSCs treated with Mg AZ31+SPF+HT extracts versus the secretome of hMSCs treated with Mg AZ31+SPF extracts for 14 days.</p>
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<p>STRING protein–protein interaction analysis of secretome data. STRING K-means clusters obtained from the analysis of the proteins whose abundance was increased in the secretion from hMSCs treated with Mg AZ31+SPF+HT extracts compared to those secreted by hMSCs treated with Mg AZ32+SPF for 7 days. Proteins are indicated using their gene names. A total of nine clusters are visually defined (the names of the proteins in each cluster are reported inside the box, in the description) (<b>A</b>). Each cluster, along with the proteins it contains, is represented by a different color. (<b>B</b>) For cluster number 2, a bubble plot is used for reactome pathway enrichment analysis based on FDR (false discovery rate) and gene count.</p>
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<p>STRING protein–protein interaction analysis of secretome data. STRING k-means clusters obtained from the analysis of the proteins whose abundance was increased in the secretion from hMSCs treated with Mg AZ31+SPF+HT extracts compared to those secreted by hMSCs treated with Mg AZ32+SPF for 14 days. Proteins are indicated using their gene names. A total of three clusters are visually defined (the names of proteins in each cluster are reported in the description) (<b>A</b>). Each cluster, along with the proteins it contains, is represented by a different color. (<b>B</b>) For cluster number 1, a bubble plot is used for reactome pathway enrichment analysis based on FDR (false discovery rate) and gene count.</p>
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<p>STRING protein–protein interaction analysis of secretome data. Analysis of data derived from the comparison of hMSCs treated with Mg AZ31+SPF+HT and those treated with Mg AZ31+SPF extracts after 14 days of treatments. For cluster number 2, a bubble plot is used for reactome pathway enrichment and biological process (gene ontology) enrichment analysis based on FDR (false discovery rate) and gene count.</p>
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<p>Signaling identified through secretome analysis of hMSCs treated with Mg AZ31+SPF+HT alloy extracts.</p>
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25 pages, 12999 KiB  
Article
Bicarbonate-Rich Mineral Water Mitigates Hypoxia-Induced Osteoporosis in Mice via Gut Microbiota and Metabolic Pathway Regulation
by Yufan Ding, Weili Liu, Xi Zhang, Bin Xue, Xiaobo Yang, Chen Zhao, Chenyu Li, Shang Wang, Zhigang Qiu, Chao Li, Jingfeng Wang and Zhiqiang Shen
Nutrients 2025, 17(6), 998; https://doi.org/10.3390/nu17060998 - 12 Mar 2025
Viewed by 190
Abstract
Background: High-altitude hypoxia is known to adversely affect bone health, leading to accelerated bone loss and metabolic alterations. Recent studies suggest that factors such as bicarbonate and gut microbiota may play key roles in bone health. Mineral water, rich in bicarbonate, may influence [...] Read more.
Background: High-altitude hypoxia is known to adversely affect bone health, leading to accelerated bone loss and metabolic alterations. Recent studies suggest that factors such as bicarbonate and gut microbiota may play key roles in bone health. Mineral water, rich in bicarbonate, may influence bone health and the gut–bone axis under such conditions. Methods: Mice were exposed to hypoxia and treated with different concentrations of drinking water. Bone-related parameters were assessed using dual-energy X-ray absorptiometry (DXA) and Micro-CT. Bone health was assessed using the measurement of serum biomarkers. Additionally, Untargeted Metabolomics was employed to analyze differential metabolites between groups, while gut microbiota composition was analyzed using 16S rRNA sequencing. Results: BMW consumption increased bone mineral density (BMD) and helped alleviate the damage to the microstructure of bones caused by hypoxia and delayed the progression of osteoporosis. Additionally, BMW was shown to enhance probiotics such as Akkermansia and Dubosiella and regulate the longevity-regulating pathway as well as the PI3K/AKT/mTOR (PAM) signaling pathway. This study also discovered changes in metabolic products due to BMW intervention, predominantly in pathways such as the amino acid, prostaglandin, and purine metabolisms, with correlation analysis further exploring the relationships between gut microbiota and these differential metabolites. Conclusions: Long-term exposure to high-altitude hypoxic conditions affects the structure of gut microbiota and bone metabolism in mice. The consumption of BMW improves the structure of gut microbiota and regulates the metabolic pathways to maintain bone health under high-altitude hypoxia. Full article
(This article belongs to the Section Nutrition and Metabolism)
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<p>Recording of basic information on mice, imaging results, and statistical analysis. (<b>A</b>) Experimental scheme of different drinking water on high-altitude hypoxia-induced osteoporosis. (<b>B</b>–<b>D</b>) Statistical analysis of daily food, water intake, and bodyweight in mice. (<b>B</b>) Food intake. (<b>C</b>) Water consumption. (<b>D</b>) Body weight. (<b>E</b>–<b>G</b>) Bone densitometry and indexing in mice using DXA. (<b>E</b>) Body composition imaging of mice using DXA. (<b>F</b>) Periodic BMD of mice. (<b>G</b>) Femoral BMD in Week 12. (<b>H</b>–<b>L</b>) Test of ex vivo femur of mice using Micro-CT. (<b>H</b>) 2D scan images and 3D reconstruction of femur (horizontal reconstruction in the top row, vertical in the bottom row). (<b>I</b>) BMD, (<b>J</b>) Ct.Th, (<b>K</b>) BV/TV, (<b>L</b>) Tb.N, and (<b>M</b>) Tb.sp. ns: no significance, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Evaluation of indexes related to bone resorption and bone formation in mice. (<b>A</b>,<b>B</b>) TRAP staining and counting of osteoclasts. (<b>A</b>) Microscopic observation of femur TRAP staining (40×). (<b>B</b>) Number of osteoclasts per field of view. (<b>C</b>–<b>F</b>) Serum indicators of calcium and phosphorus metabolism. (<b>C</b>) Serum total calcium, (<b>D</b>) 25-OH-VD, (<b>E</b>) PTH, and (<b>F</b>) CT. (<b>G</b>–<b>I</b>) Serological indicators of bone formation, (<b>G</b>) BALP, (<b>H</b>) PINP, and (<b>I</b>) BGP. (<b>J</b>) Serological indicators of bone resorption, CTX. ns: no significance, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Effects on bone microstructure and related functions. (<b>A</b>) Representative full slide images of femora using HE staining. (<b>B</b>–<b>F</b>) Bone mechanical parameters measured using the three-point bending experiment. (<b>B</b>) Schematic diagram of three-point bending experiment. (<b>C</b>) Maximum load. (<b>D</b>) Maximum deflection. (<b>E</b>) Maximum bending stress. (<b>F</b>) Maximum strain. (<b>G</b>–<b>J</b>) Blood routine related to erythroid proliferation, (<b>G</b>) RBC, (<b>H</b>) HGB, (<b>I</b>) HCT, and (<b>J</b>) MCV. ns: no significance, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Analysis of gut microbiota structure and differential bacteria in mice. (<b>A</b>,<b>B</b>) Bar plot of species abundance. (<b>A</b>) phylum level and (<b>B</b>) genus level (others were not shown). (<b>C</b>,<b>D</b>) Heatmap of species abundance. (<b>C</b>) Phylum level and (<b>D</b>) genus level. (<b>E</b>–<b>J</b>) Abundance of representative differential gut microbiota in the three groups in genus level. (<b>E</b>) The ratio of <span class="html-italic">Firmicutes/Bacteroidetes</span>, (<b>F</b>) <span class="html-italic">Ruminococcus</span>, (<b>G</b>) <span class="html-italic">Alloprevotella</span>, (<b>H</b>) <span class="html-italic">Dubosiella</span>, (<b>I</b>) <span class="html-italic">Parasutterella</span>, and (<b>J</b>) <span class="html-italic">Akkermansia</span>. (<b>K</b>,<b>L</b>) Analysis of species differences between groups using <span class="html-italic">t</span>-test. (<b>K</b>) HTP vs. NTP and (<b>L</b>) HBMW vs. HTP. * represents HTP vs. HBMW. <sup>#</sup> represents NTP vs. HTP. * <span class="html-italic">p</span> &lt; 0.05, ** and <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Analysis of differential metabolites and associated differential pathways. (<b>A</b>,<b>B</b>) PCA to observe the overall distribution trend between the two groups. (<b>A</b>) HTP vs. NTP and (<b>B</b>) HBMW vs. HTP. (<b>C</b>,<b>D</b>) Volcano plot showing overall distribution of differential metabolites. (<b>C</b>) HTP vs. NTP and (<b>D</b>) HBMW vs. HTP. (<b>E</b>,<b>F</b>) Stem plot of different metabolites. (<b>E</b>) HTP vs. NTP and (<b>F</b>) HBMW vs. HTP. (<b>G</b>) Venn diagram of metabolites between the two comparing groups. (<b>H</b>–<b>K</b>) Quantitative value of metabolites. (<b>H</b>) Cyclic ADP-ribose, (<b>I</b>) 15(R)-Prostaglandin E2, (<b>J</b>) 2-Hydroxyvaleric acid, and (<b>K</b>) Calcitriol. (<b>L</b>,<b>M</b>) Bubble chart of the enriched KEGG pathway. (<b>L</b>) HTP vs. NTP and (<b>M</b>) HBMW vs. HTP. * represents HTP vs. HBMW. <sup>#</sup> represents NTP vs. HTP. * and <sup>#</sup>: <span class="html-italic">p</span> &lt; 0.05, ** and <sup>##</sup>: <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>GSEA screens potential pathways and analysis of metabolome–microbe associations after BMW intervention. (<b>A</b>–<b>C</b>) GSEA of HBMW vs. HTP. (<b>A</b>). Purine metabolism. (<b>B</b>) Alanine aspartate and glutamate metabolism. (<b>C</b>) Biosynthesis of amino acid. (<b>D</b>) Heatmap plot of purine metabolites between HBMW and HTP. (<b>E</b>) Correlation heatmap plot. (<b>F</b>) Correlation Sankey plot. (<b>G</b>–<b>I</b>) Scatterplot analysis of the correlation between <span class="html-italic">Muribaculum</span> and selected metabolites. (<b>G</b>) Triacanthine, (<b>H</b>) 12-Epileukotriene B4, and (<b>I</b>) Benzathine. (<b>J</b>) Histogram of the association analysis of uric acid with different microorganisms. The color scale ranges from blue to red in the figure represents the magnitude of the values: blue indicates low values, while red signifies high values. * represent statistical significance, <span class="html-italic">p</span> &lt; 0.05. Red indicates high values and blue indicates low values.</p>
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14 pages, 2258 KiB  
Article
Peptides from Harpadon nehereus Bone Ameliorate Sodium Palmitate-Induced HepG2 Lipotoxicity by Regulating Oxidative Stress and Lipid Metabolism
by Siyi Song, Wei Zhao, Qianxia Lin, Jinfeng Pei and Huoxi Jin
Mar. Drugs 2025, 23(3), 118; https://doi.org/10.3390/md23030118 - 9 Mar 2025
Viewed by 212
Abstract
Antioxidant peptides are a well-known functional food exhibiting multiple biological activities in health and disease. This study investigated the effects of three peptides, LR-7 (LALFVPR), KA-8 (KLHDEEVA), and PG-7 (PSRILYG), from Harpadon nehereus bone on sodium palmitate (PANa)-induced HepG2. The findings indicated that [...] Read more.
Antioxidant peptides are a well-known functional food exhibiting multiple biological activities in health and disease. This study investigated the effects of three peptides, LR-7 (LALFVPR), KA-8 (KLHDEEVA), and PG-7 (PSRILYG), from Harpadon nehereus bone on sodium palmitate (PANa)-induced HepG2. The findings indicated that all three peptides significantly reduced the oxidative damage and fat accumulation in the HepG2 cells while also normalizing the abnormal blood lipid levels caused by PANa. Furthermore, treatment with LR-7 resulted in a more than 100% increase in catalase (CAT), glutathione peroxidase (GSH-Px), and nuclear factor erythroid 2-related factor 2 (Nrf2) levels within the HepG2 cells (p < 0.001). Western blot analysis showed that LR-7 treatment significantly lowered the expression of fatty acid synthase (FASN) by 59.6% (p < 0.001) while enhancing carnitine palmitoyl transferase 1 (CPT1) by 134.7% (p < 0.001) and adipose triglyceride lipase (ATGL) by 148.1% (p < 0.001). Additionally, these peptides effectively inhibited the pancreatic lipase activity. Notably, LR-7 demonstrated superior effectiveness across all of the evaluated parameters, likely due to its greater hydrophobicity. In summary, LR-7, KA-8, and PG-7 are effective at mitigating oxidative stress as well as regulating lipid metabolism, thus protecting HepG2 cells from PANa-induced injury and lipid buildup. This research indicates that these collagen-derived peptides, especially LR-7, show promise as natural agents for managing hyperlipidemia. Full article
(This article belongs to the Special Issue Marine Bioactive Peptides—Structure, Function, and Application 2.0)
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<p>Protective effects of LR-7, KA-8, and PG-7 on HepG2 cells. (<b>a</b>) HepG2 cell proliferation after three oligopeptide (50, 100, 200 μM) treatments. (<b>b</b>) Effects of PANa on HepG2 cell viability. (<b>c</b>) Effects of three peptides (100 µM) on the cell viability of HepG2 induced by 350 µM PANa. (<b>d</b>) Morphology of HepG2 (200×). Con: normal control; PANa: HepG2 was treated with 350 µM PANa for 24 h. HepG2 was incubated with 100 µM KA-8 (KA-8 group), LR-7 (LR-7 group), and PG-7 (PG-7 group) for 4 h, followed by 350 µM PANa treatment for 24 h. **** represents <span class="html-italic">p</span> &lt; 0.0001 compared with the PANa group.</p>
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<p>Effects of LR-7, KA-8, and PG-7 on the antioxidant capacity of HepG2 cells. The levels of CAT (<b>a</b>), SOD (<b>b</b>), GSH-Px (<b>c</b>), MDA (<b>d</b>), Nrf2 (<b>e</b>,<b>f</b>), NQO1 (<b>e</b>,<b>g</b>), and HO-1 (<b>e</b>,<b>h</b>) in HepG2 cells were measured. Con: normal control; PANa: HepG2 was treated with 350 µM PANa for 24 h. HepG2 was incubated with 100 µM KA-8 (KA-8 group), LR-7 (LR-7 group), and PG-7 (PG-7 group) for 4 h, followed by 350 µM PANa treatment for 24 h. *, **, ***, and **** represent <span class="html-italic">p</span> &lt; 0.05, &lt;0.01, &lt;0.001, and &lt;0.0001 compared with the PANa group, respectively.</p>
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<p>Effects of LR-7, KA-8, and PG-7 on the fat accumulation ((<b>a</b>), 200×) and levels of TG (<b>b</b>), TCHO (<b>c</b>), LDL-C (<b>d</b>), and HDL-C (<b>e</b>) in the HepG2 cells. Con: normal control; PANa: HepG2 was treated with 350 µM PANa for 24 h. HepG2 was incubated with 100 µM KA-8 (KA-8 group), LR-7 (LR-7 group), and PG-7 (PG-7 group) for 4 h, followed by 350 µM PANa treatment for 24 h. **, ***, and **** represent <span class="html-italic">p</span> &lt; 0.01, &lt;0.001, and &lt;0.0001 compared with the PANa group, respectively.</p>
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<p>Effects of LR-7, KA-8, and PG-7 on the lipid metabolism in PANa-induced HepG2 cells. The expression of FANS, p-ACC1, CPT1, ATGL, and AMPKα were evaluated (<b>a</b>,<b>b</b>,<b>g</b>). The levels of FASN (<b>c</b>), p-ACC1 (<b>d</b>), CPT1 (<b>e</b>), ATGL (<b>f</b>), and p-AMPKα (<b>h</b>) were analyzed in PANa-stimulated HepG2. Con: normal control; PANa: HepG2 was treated with 350 µM PANa for 24 h. HepG2 was incubated with 100 µM KA-8 (KA-8 group), LR-7 (LR-7 group), and PG-7 (PG-7 group) for 4 h, followed by 350 µM PANa treatment for 24 h. *, **, ***, and **** represent <span class="html-italic">p</span> &lt; 0.05, &lt;0.01, &lt;0.001, and &lt;0.0001 compared with the PANa group, respectively.</p>
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<p>Inhibition of LR-7 (<b>a</b>), KA-8 (<b>b</b>), and PG-7 (<b>c</b>) on pancreatic lipase activity.</p>
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14 pages, 615 KiB  
Article
iFGF23 Plasma Levels in Transfusion-Dependent β-Thalassemia: Insights into Bone and Iron Metabolism
by Alberto Gobbo, Filomena Longo, Camilla Alice Cattaneo, Martina Verrienti, Gianluca Marzi, Fatima Chamekh, Martina Culcasi, Alberto Cossu, Maria Chiara Zatelli and Maria Rosaria Ambrosio
J. Clin. Med. 2025, 14(6), 1834; https://doi.org/10.3390/jcm14061834 - 8 Mar 2025
Viewed by 254
Abstract
Background: FGF23 is a phosphate homeostasis regulator; the literature suggests a link between FGF23, iron homeostasis and erythropoiesis. Little is known about the FGF23 level variations in β-thalassemia (βT), which is characterized by ineffective erythropoiesis and iron overload. Our cross-sectional study aims to [...] Read more.
Background: FGF23 is a phosphate homeostasis regulator; the literature suggests a link between FGF23, iron homeostasis and erythropoiesis. Little is known about the FGF23 level variations in β-thalassemia (βT), which is characterized by ineffective erythropoiesis and iron overload. Our cross-sectional study aims to evaluate the iFGF23 level variations in a large cohort of βT patients considering their bone mineral densities (BMDs) and iron loads. Methods: Clinical, biochemical and radiological data were collected from 213 transfusion-dependent βT (TDT) adults referring to the Regional HUB Centre for Thalassaemia and Haemoglobinopathies in Ferrara, Italy. The iFGF23 levels in the TDT patients were compared to the general population’s reference range. The BMDs and hearth and liver iron deposits were assessed with DEXA scans and MRI, respectively. Results: The iFGF23 distribution in the TDT subjects is significantly different from that of the general population. The iFGF23 levels are positively correlated with the age at transfusion initiation and calcium and phosphate levels and are negatively correlated with the osteocalcin plasma levels. Patients treated with deferasirox had lower iFGF23 levels than those treated with other chelators. The iFGF23 levels are not correlated with the BMD or iron status. Conclusions: These findings provide insights into the relationship between the iFGF23 and bone and iron metabolism in TDT patients. Further studies are needed to explore its potential clinical relevance. Full article
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<p>iFGF23 levels in TDT population.</p>
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<p>iFGF23 levels according to chelation therapy. DFO: deferoxamine; DFP: deferiprone; DFX: deferasirox. Median iFGF23 levels are shown in pg/mL with IQRs according to treatment group.</p>
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26 pages, 6313 KiB  
Article
New Three Dimensional-Printed Polyethylene Terephthalate Glycol Liners for Hip Joint Endoprostheses: A Bioactive Platform for Bone Regeneration
by Gheorghe Iosub, Ioana-Alexandra Lungescu, Alexandra Cătălina Bîrcă, Adelina-Gabriela Niculescu, Paul Catalin Balaure, Sorin Constantinescu, Bogdan Mihaiescu, Dragoș Mihai Rădulescu, Alexandru Mihai Grumezescu, Ariana Hudiță, Ionela Andreea Neacșu and Adrian Radu Rădulescu
Materials 2025, 18(6), 1206; https://doi.org/10.3390/ma18061206 - 8 Mar 2025
Viewed by 178
Abstract
Osteoporosis and bone defects are commonly observed in postmenopausal women, often linked to decreased folic acid levels, which play a crucial role in bone metabolism and regeneration. This study investigates 3D-printed polyethylene terephthalate glycol (PETG)-based porous scaffolds impregnated with chitosan (CS), hydroxyapatite (HAp), [...] Read more.
Osteoporosis and bone defects are commonly observed in postmenopausal women, often linked to decreased folic acid levels, which play a crucial role in bone metabolism and regeneration. This study investigates 3D-printed polyethylene terephthalate glycol (PETG)-based porous scaffolds impregnated with chitosan (CS), hydroxyapatite (HAp), and folic acid (FA) for bone tissue engineering applications. The PETG-CS scaffold serves as the primary structural framework, with HAp incorporated to enhance bioactivity through its osteoconductive and osteoinductive properties. FA was included to address potential deficiencies in bone quality and to stimulate cellular differentiation. The scaffolds were fabricated using precise 3D printing techniques, yielding structures with controlled porosity. Physicochemical analyses confirmed the successful integration of HAp and FA into the PETG-CS matrix. Biological evaluations using preosteoblast cell lines demonstrated enhanced cell viability, proliferation, and biocompatibility of the scaffolds. These findings highlight the promising applications of PETG-CS-HAp-FA scaffolds in bone tissue engineering, providing a platform for future investigations into personalized regenerative therapies. Full article
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<p>Three-dimensionally printed scaffold.</p>
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<p>X-ray diffraction pattern and EDS spectrum obtained for the green synthesized Hap powder.</p>
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<p>SEM micrographs (<b>A</b>,<b>B</b>) obtained for Hap powder and the particle size distribution presented as a histogram (<b>C</b>).</p>
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<p>SEM micrographs of PETG at different magnifications, 100× (<b>A</b>), 500× (<b>B</b>), 1000× (<b>C</b>).</p>
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<p>SEM micrographs of PETG/CS at different magnifications, 100× (<b>A</b>), 500× (<b>B</b>), 1000× (<b>C</b>).</p>
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<p>SEM micrographs of PETG/CS-Hap at different magnifications, 100× (<b>A</b>), 500× (<b>B</b>), 1000× (<b>C</b>).</p>
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<p>SEM micrographs of PETG/CS-Hap-FA at different magnifications, 100× (<b>A</b>), 500× (<b>B</b>), 1000× (<b>C</b>).</p>
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<p>EDS spectra for PETG, PETG/CS, PETG/CS-Hap, and PETG/CS-Hap-FA.</p>
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<p>EDS elemental mapping performed for PETG/CS-Hap.</p>
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<p>EDS elemental mapping performed for PETG/CS-Hap-FA.</p>
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<p>FTIR spectra for PETG, PETG/CS, PETG/CS-Hap, and PETG/CS-Hap-FA, and detailed FT-IR spectra of PETG and PETG/CS samples.</p>
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<p>Raman spectrum of PETG/CS/Hap-FA.</p>
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<p>Graphical representation of the cellular viability of human preosteoblasts hFOB 1.19 after 24 h of contact with 3D porous cubes PETG/CS, PETG/CS-HAp, and PETG/CS-Hap-FA (* <span class="html-italic">p</span> ≤ 0.05).</p>
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<p>Fluorescence microscopy images highlighting live cells (green) and dead cells (red) after 24 h of contact with 3D porous cubes PETG/CS, PETG/CS-HAp, and PETG/CS-Hap-FA (magnification 10×).</p>
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<p>Graphical representation of the cytotoxicity of 3D porous cubes PETG/CS, PETG/CS-HAp, and PETG/CS-Hap-FA after 24 h of contact with human preosteoblasts.</p>
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<p>Graphical representation of the concentration of NO released into the culture medium by human preosteoblasts after 24 h of contact with the 3D porous cubes PET/CS, PET/CS-HAp, and PET/CS-Hap-FA (*** <span class="html-italic">p</span> ≤ 0.001).</p>
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21 pages, 895 KiB  
Review
Connecting Bone Remodeling and Regeneration: Unraveling Hormones and Signaling Pathways
by Afshan Mehreen, Muhammad Faisal, Bilal Zulfiqar, Deli Hays, Kavishka Dhananjaya, Faiza Yaseen and Yujun Liang
Biology 2025, 14(3), 274; https://doi.org/10.3390/biology14030274 - 7 Mar 2025
Viewed by 184
Abstract
Recent advancements in tissue engineering and stem cell science have positioned bone disease treatment as a promising frontier in regenerative medicine. This review explores the hormonal and signaling pathways critical to bone regeneration, with a focus on their clinical relevance. Key endocrine factors, [...] Read more.
Recent advancements in tissue engineering and stem cell science have positioned bone disease treatment as a promising frontier in regenerative medicine. This review explores the hormonal and signaling pathways critical to bone regeneration, with a focus on their clinical relevance. Key endocrine factors, including thyroid hormones (T3 and T4), insulin-like growth factor 1 (IGF-1), bone morphogenetic proteins (BMPs), parathyroid hormone (PTH), calcitonin, and fibroblast growth factor 23 (FGF23), play pivotal roles in bone remodeling by regulating osteoblast activity, bone resorption, and mineralization. These factors primarily act through the Wnt/β-catenin, BMP, and FGF signaling pathways, which govern bone repair and regeneration. While animal models, such as axolotls, zebrafish, and Xenopus laevis, provide valuable findings about these mechanisms, translating these findings into human applications presents challenges. This review underscores the therapeutic potential of modulating these hormonal networks to enhance bone regeneration while cautioning against possible adverse effects, such as uncontrolled tissue proliferation or metabolic imbalances. By integrating knowledge from regenerative models, this work provides a foundation for optimizing hormone-based therapies for clinical applications in bone repair and disease treatment. Full article
(This article belongs to the Special Issue Tissue and Organ Regeneration in Fish: Evolutionary Mechanisms)
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<p>Events followed during Axolotl’s Limb Regeneration. (<b>1</b>) Amputation plane where limbs can be amputated to witness the events leading to regeneration. (<b>2</b>) Formation of wound epidermis followed by initial immune response for clearing the pathogens and unwanted mass. (<b>3</b>) Nerve formation is essential for blastema formation and growth. (<b>4</b>) Blastema is the mass of de-differentiated cells necessary for regeneration. (<b>5</b>) Blastema cells proliferate and differentiate into cells of choice to develop into new limbs, looking like the original ones. (<b>6</b>) Patterning of limbs starts that gives rise to new limbs just like the original ones.</p>
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<p>Bone Remodeling: Hormonal regulation of signaling pathways and molecules involved. Bone resorption: Receptor Activator of Nuclear factor Kappa beta Ligand (RANKL) calcitonin and TGF-β are involved in the activation of osteoclasts, promoting bone resorption. Reversal: Resorption is followed by a reversal process where TGF-β, IGF1, 2, BMPs, and FGFs play a central role and activate osteocytes. Bone formation: After activation, osteocytes lead to bone formation involving molecules including <span class="html-italic">Wnt</span>, IGF, BMP, PTH, RUNX2, TGF-β, and FGF 23.</p>
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44 pages, 2707 KiB  
Review
Unveiling the Multifaceted Pharmacological Actions of Indole-3-Carbinol and Diindolylmethane: A Comprehensive Review
by Yadava Srikanth, Dontiboina Harikrishna Reddy, Vinjavarapu Lakshmi Anusha, Naresh Dumala, Matte Kasi Viswanadh, Guntupalli Chakravarthi, Buchi N. Nalluri, Ganesh Yadagiri and Kakarla Ramakrishna
Plants 2025, 14(5), 827; https://doi.org/10.3390/plants14050827 - 6 Mar 2025
Viewed by 226
Abstract
Cruciferae family vegetables are remarkably high in phytochemicals such as Indole-3-carbinol (I3C) and Diindolylmethane (DIM), which are widely known as nutritional supplements. I3C and DIM have been studied extensively in different types of cancers like breast, prostate, endometrial, colorectal, gallbladder, hepatic, and cervical, [...] Read more.
Cruciferae family vegetables are remarkably high in phytochemicals such as Indole-3-carbinol (I3C) and Diindolylmethane (DIM), which are widely known as nutritional supplements. I3C and DIM have been studied extensively in different types of cancers like breast, prostate, endometrial, colorectal, gallbladder, hepatic, and cervical, as well as cancers in other tissues. In this review, we summarized the protective effects of I3C and DIM against cardiovascular, neurological, reproductive, metabolic, bone, respiratory, liver, and immune diseases, infections, and drug- and radiation-induced toxicities. Experimental evidence suggests that I3C and DIM offer protection due to their antioxidant, anti-inflammatory, antiapoptotic, immunomodulatory, and xenobiotic properties. Apart from the beneficial effects, the present review also discusses the possible toxicities of I3C and DIM that are reported in various preclinical investigations. So far, most of the reports about I3C and DIM protective effects against various diseases are only from preclinical studies; this emphasizes the dire need for large-scale clinical trials on these phytochemicals against human diseases. Further, in-depth research is required to improve the bioavailability of these two phytochemicals to achieve the desirable protective effects. Overall, our review emphasizes that I3C and DIM may become potential drug candidates for combating dreadful human diseases. Full article
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<p>Biosynthesis of indole-3-carbinol and its metabolites. Glucobrassicin from cruciferous vegetables is hydrolyzed by myrosinase, forming thiohydroxamate-O-sulfonate, which decomposes to 3-indolylmethyl isothiocyanate under neutral pH. In acidic conditions (stomach), this converts to I3C, which undergoes condensation reactions. I3C forms diindolylmethane (DIM) and other major acid condensation products like indole(3,2-b) carbazole (ICZ), 2-(Indol-3-ylmethyl)-3,3′-diindolylmethane (CTI), and 3,3′-Diindolylmethane-derived Linear Trimer (LTr1).</p>
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<p>The molecular mechanisms of I3C and DIM. I3C and DIM reduced oxidative stress through the activation of the NRF2/ARE/HO-1 pathway and mitigated the inflammation by blocking various inflammation-inducing factors such as TNF-α, ILs, TLR, RANKL, JAK/STAT pathway, LPS, and CD40, which eventually inhibited the translocation and inhibition of NF-kB. Both compounds activated the BDNF/ERK 1/2/CREBl, MAPK/PI3/AKT/mTOR, and <span class="html-italic">AHR/ARNT</span> signaling pathways, thereby controlling cell proliferation, autophagy, apoptosis, and xenobiotic metabolism.</p>
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<p>A schematic representation of multiple cellular events that are modified with I3C and DIM in the pathogenesis of various diseases. I3C and DIM mitigated mitochondrial dysfunction oxidative stress, glutamate (excitotoxicity) and calcium imbalances, ER stress, protein modifications, and DNA damage, thereby offering protection against various diseases, including cardiovascular, metabolic, neurological, etc.</p>
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<p>The protective responses of I3C and DIM on various diseases. I3C and DIM exhibited protective responses against neurological, cardiovascular, infectious, reproductive, respiratory, bone, dental, gastrointestinal, eye, autoimmune, spleen, skin, kidney, metabolic, pancreatic, and liver diseases, as well as drug-, chemical-, and radiation-induced toxicities.</p>
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10 pages, 650 KiB  
Article
Could PTH/Ca Ratio Serve as a New Marker for Evaluating Bone Metabolism in Hemophilia Patients?
by Tuba Ersal, Fazıl Çağrı Hunutlu, Vildan Gürsoy, Ezel Elgün, Şeyma Yavuz, İpek Dal Akkuş, İlayda Baş, Vildan Özkocaman and Fahir Özkalemkaş
Diagnostics 2025, 15(5), 638; https://doi.org/10.3390/diagnostics15050638 - 6 Mar 2025
Viewed by 174
Abstract
Background/Objectives: Low bone mineral density (BMD) is common in hemophilia patients. Identifying high-risk patients for low BMD early is essential to prevent complications and reduce morbidity. The parathyroid hormone (PTH)/calcium (Ca) ratio is a cost-effective marker for predicting BMD, highlighting the need for [...] Read more.
Background/Objectives: Low bone mineral density (BMD) is common in hemophilia patients. Identifying high-risk patients for low BMD early is essential to prevent complications and reduce morbidity. The parathyroid hormone (PTH)/calcium (Ca) ratio is a cost-effective marker for predicting BMD, highlighting the need for routine screening and early intervention in this population. Hemophilia is a hereditary bleeding disorder caused by deficiencies in clotting factors VIII (hemophilia A) and IX (hemophilia B). Patients with hemophilia are at risk of low bone mineral density (BMD). This study aimed to evaluate the prevalence of low BMD, associated risk factors, and raise awareness regarding its significance in hemophilia patients. Methods: We retrospectively assessed bone metabolism in 62 hemophilia patients followed at our center. BMD was evaluated using dual-energy X-ray absorptiometry (DEXA). Additionally, serum levels of 25-OH-D3, alkaline phosphatase, PTH, Ca, phosphor, and creatinine were measured. The PTH/Ca, PTH/25-OH-D3, and Ca×25-OH-D3/PTH ratios were calculated. Results: The median age of the 62 patients with hemophilia included in the study (hemophilia A: 87.1%, hemophilia B: 12.9%) was 37 years (range: 21–66), and all were male. Of these patients, 67.7% (n = 42) had severe, 21% (n = 13) had moderate, and 11.3% (n = 7) had mild hemophilia. A total of 85.5% of patients were on factor prophylaxis, and 75.4% had a target joint. In laboratory analysis, the median 25-OH-D3 level was 13.4 µg/L and 75% patients had 25-OH-D3 deficiency. According to DEXA results, 62.9% had lower than normal BMD. When we divided the patients into normal and low BMD groups according to DEXA results, weight (p = 0.006), height (p = 0.024), factor levels (p = 0.004), PTH (p = 0.010), AST (p = 0.029), and PTH/Ca (p = 0.011) levels were statistically significantly different between the groups. The severity of the disease and the rate of receiving prophylaxis were higher in the group with low BMD (p = 0.015, p = 0.006, respectively). In multivariate analysis, PTH/Ca ratio and weight were found to be independent risk factors for BMD. A linear relationship was found between PTH/Ca ratio and BMD. The optimal cut-off value for PTH/Ca was 6.57, with a selectivity of 65% and specificity of 82%. When we divided the patients into groups according to the cut-off value of 6.57, we found that the probability of low BMD increased approximately 7-fold in the group with PTH/Ca > 6.57 (OR 7.045, 95% CI 1.485–33.42, p = 0.014). There was an inverse association between patient weight and low BMD (p = 0.043). Conclusions: Low BMD is a critical public health concern frequently observed in patients with hemophilia. The study highlights a high rate of low BMD and 25-OH-D3 deficiency in hemophilia patients, with the PTH/Ca ratio shown to be useful in predicting BMD. The PTH/Ca ratio is suggested as an accessible, cost-effective, and practical test for evaluating BMD in hemophilia patients. Full article
(This article belongs to the Special Issue Rare Diseases: Diagnosis and Management)
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<p>ROC curve analysis of PTH/Ca ratio.</p>
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14 pages, 19708 KiB  
Article
Exogenous Melatonin Improves the Tibial Performance, Morphology and Metabolism Balance in Rapid Bone Growth Phase of Long Photoperiod Broilers
by Miao Yu, Mengjie Xu, Guangju Wang, Jinghai Feng and Minhong Zhang
Agriculture 2025, 15(5), 553; https://doi.org/10.3390/agriculture15050553 - 4 Mar 2025
Viewed by 176
Abstract
Bone metabolism dynamic balance is pivotal to bone formation in broilers. Long photoperiods have resulted in leg bones disorders in broilers. Melatonin (MT) is an essential hormone that protects the growth and development of bones, but the functions of melatonin on leg bone [...] Read more.
Bone metabolism dynamic balance is pivotal to bone formation in broilers. Long photoperiods have resulted in leg bones disorders in broilers. Melatonin (MT) is an essential hormone that protects the growth and development of bones, but the functions of melatonin on leg bone metabolism are poorly defined in long photoperiod broilers. A total of 216 healthy 5-day-old Arbor Acres (AA) male broiler chickens were randomly allocated into three treatment groups, i.e., 12L:12D photoperiod, 18L:6D photoperiod, 18L:6D photoperiod with exogenous MT supplementation (18L:6D + MT) for 2 weeks. Here, we found that 18L:6D photoperiod increased tibial length (p < 0.001), circumference (p = 0.012) and long diameter (p = 0.003) of broilers, but decreased the tibial weight index (p = 0.038) and strength. The 18L:6D photoperiod induced the tibial cartilage damage, decreased the osteoblast/osteoclast ratio (p = 0.002) and decreased the medullary cavity collagen fiber (p = 0.018) in broilers. Exogenous MT improved the tibial strength, relieved the tibial cartilage damage, increased the tibia osteoblast activity, alleviated osteoclast recruitment and activation and enhanced the collagen fiber in medullary cavity in long photoperiod broilers. Taken together, exogenous MT improved the tibial performance, morphology and formation of broilers underlying long photoperiod. Full article
(This article belongs to the Section Farm Animal Production)
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<p>Tibia HE staining analysis in cartilage. (<b>a</b>) 12L:12D photoperiod group tibia HE staining analysis; (<b>b</b>) 18L:6D photoperiod group tibia HE staining analysis; (<b>c</b>) 18L:6D + MT group tibia HE staining analysis. 2× magnification. Black arrow: inflammatory cell infiltration. Yellow arrow: cartilage.</p>
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<p>Tibia HE staining analysis in medullary cavity. (<b>a</b>) 12L:12D photoperiod group tibia HE staining analysis; (<b>b</b>) 18L:6D photoperiod group tibia HE staining analysis; (<b>c</b>) 18L:6D + MT group tibia HE staining analysis. 20× magnification. Black arrow: trabecular bone. Red arrow: adipose tissue. Yellow arrow: hematopoietic tissue.</p>
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<p>Tibia ALP staining analysis in medullary cavity. (<b>a</b>) 12L:12D photoperiod group tibia ALP staining analysis; (<b>b</b>) 18L:6D photoperiod group tibia ALP staining analysis; (<b>c</b>) 18L:6D + MT group tibia ALP staining analysis; (<b>d</b>) the positive rate of tibia ALP staining analysis. 200× magnification. Data are the means ± SEMs. a, b, c <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Tibia TRAP staining analysis in medullary cavity. (<b>a</b>) 12L:12D photoperiod group tibia TRAP staining analysis; (<b>b</b>) 18L:6D photoperiod group tibia TRAP staining analysis; (<b>c</b>) 18L:6D + MT group tibia TRAP staining analysis; (<b>d</b>) the positive rate of tibia TRAP staining analysis; (<b>e</b>) the osteoblast/osteoclast ratio analysis. 200× magnification. Data are the means ± SEMs. a, b <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Tibia cartilage Masson’s staining analysis. (<b>a</b>) 12L:12D photoperiod group tibia cartilage Masson’s staining analysis; (<b>b</b>) 18L:6D photoperiod group tibia cartilage Masson’s staining analysis; (<b>c</b>) 18L:6D + MT group tibia cartilage Masson’s staining analysis; (<b>d</b>) the positive rate of tibia cartilage Masson’s staining analysis. 1.5× magnification. Data are the means ± SEMs.</p>
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<p>Tibia medullary cavity Masson’s staining analysis. (<b>a</b>) 12L:12D photoperiod group tibia medullary cavity Masson’s staining analysis; (<b>b</b>) 18L:6D photoperiod group tibia medullary cavity Masson’s staining analysis; (<b>c</b>) 18L:6D + MT group tibia medullary cavity Masson’s staining analysis; (<b>d</b>) the positive rate of tibia medullary cavity Masson’s staining analysis. 20× magnification. Data are the means ± SEMs. a, b, c <span class="html-italic">p</span> &lt; 0.05.</p>
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30 pages, 1215 KiB  
Review
Vitamin D in Reproductive Health Disorders: A Narrative Review Focusing on Infertility, Endometriosis, and Polycystic Ovarian Syndrome
by Ximena A. van Tienhoven, Jimena Ruiz de Chávez Gascón, Gabriela Cano-Herrera, José Antonio Sarkis Nehme, Ariela A. Souroujon Torun, Maria Fernanda Bautista Gonzalez, Felipe Esparza Salazar, Ana Sierra Brozon, Eder Gabriel Rivera Rosas, Dante Carbajal Ocampo and Ramiro Cabrera Carranco
Int. J. Mol. Sci. 2025, 26(5), 2256; https://doi.org/10.3390/ijms26052256 - 3 Mar 2025
Viewed by 266
Abstract
Vitamin D (VD) is a fat-soluble steroid hormone with essential physiological functions beyond calcium and bone metabolism. In recent years, its role in women’s reproductive health has gained attention, influencing ovarian function, follicular development, endometrial receptivity, and steroid hormone regulation. VD deficiency has [...] Read more.
Vitamin D (VD) is a fat-soluble steroid hormone with essential physiological functions beyond calcium and bone metabolism. In recent years, its role in women’s reproductive health has gained attention, influencing ovarian function, follicular development, endometrial receptivity, and steroid hormone regulation. VD deficiency has been linked to reproductive disorders such as polycystic ovarian syndrome (PCOS), endometriosis, and infertility. Studies indicate that up to 40–50% of healthy pregnant women have insufficient VD levels, which may contribute to adverse pregnancy outcomes and reduced fertility. With growing evidence connecting VD to reproductive health, this review examines its molecular and endocrine mechanisms in fertility, endometriosis, and PCOS. It explores VD’s therapeutic potential and its implications for improving clinical approaches and future research in reproductive medicine. Maintaining adequate VD levels is crucial for ovarian function, immune modulation in reproductive tissues, and overall fertility. Its deficiency is associated with insulin resistance, hormonal imbalances, and inflammatory processes, which contribute to reproductive pathophysiology. Establishing reference values for VD in reproductive medicine is essential for optimizing fertility treatments and improving clinical outcomes. This review synthesizes current research on VD’s role in reproductive health and highlights the need for further investigation into its therapeutic applications. Full article
(This article belongs to the Special Issue Molecular Advances in Obstetrical and Gynaecological Disorders)
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<p>The role of VD in synthesis, activation, and reproductive health. This figure illustrates the role of VD in synthesis, activation, and reproductive health. (<b>A</b>) VD absorption and synthesis: VD is obtained from UVB exposure and dietary sources, leading to the formation of cholecalciferol (D3) and ergocalciferol (D2), which undergo hydroxylation in the liver and kidneys to become the active form, calcitriol (1,25(OH)<sub>2</sub>D). (<b>B</b>) Activation: Calcitriol is synthesized in the kidneys and locally in various tissues, including the ovaries, prostate, brain, colon, and breast, through 1-α hydroxylase activity. (<b>C</b>) VDR expression in reproductive health: In males, VDR is present in Sertoli and Leydig cells, influencing sperm maturation and testosterone production. In females, VDR plays a role in placental function, ovarian hormone synthesis, and uterine implantation, processes that are often disrupted in endometriosis and PCOS, contributing to infertility.</p>
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17 pages, 5439 KiB  
Article
Metabolomics Approach Revealed Polyunsaturated Fatty Acid Disorders as Pathogenesis for Chronic Pancreatitis−Induced Osteoporosis in Mice
by Xinlin Liu, Fenglin Hu, Yunshu Zhang, Shurong Ma, Haihua Liu, Dong Shang and Peiyuan Yin
Metabolites 2025, 15(3), 173; https://doi.org/10.3390/metabo15030173 - 3 Mar 2025
Viewed by 317
Abstract
Background: Osteoporosis is frequently observed in patients with chronic pancreatitis, and both conditions are closely associated with systemic metabolic disorders. However, the underlying mechanisms linking chronic pancreatitis and osteoporosis remain unclear. Methods: In this study, we utilized high−performance liquid chromatography–mass spectrometry (HPLC−MS) to [...] Read more.
Background: Osteoporosis is frequently observed in patients with chronic pancreatitis, and both conditions are closely associated with systemic metabolic disorders. However, the underlying mechanisms linking chronic pancreatitis and osteoporosis remain unclear. Methods: In this study, we utilized high−performance liquid chromatography–mass spectrometry (HPLC−MS) to conduct metabolomics and lipidomics analyses on pancreatic, serum, and other tissues from a mouse model of chronic pancreatitis−induced osteoporosis (CP−OP), with the aim to elucidate the metabolism−related pathogenic mechanisms of CP−OP. Results: We identified over 405 metabolites and 445 lipids, and our findings revealed that several metabolites involving the tricarboxylic acid (TCA) cycle, as well as triacylglycerols and diacylglycerols with higher saturation, were significantly increased in the CP−OP model. In contrast, triglycerides with higher unsaturation were decreased. Differential pathways were enriched in n−3 long−chain polyunsaturated fatty acid metabolism in both pancreatic and bone tissues, and these pathways exhibited positive correlations with bone−related parameters. Furthermore, the modulation of these polyunsaturated fatty acids by Qingyi granules demonstrated significant therapeutic effects on CP−OP, as validated in mouse models. Conclusions: Through the metabolomics approach, we uncovered that disorders in polyunsaturated fatty acids play a critical role in the pathogenesis of CP−OP. This study not only enhances our understanding of the pathogenesis of CP−OP but also highlights the therapeutic potential of targeting polyunsaturated fatty acids as a future intervention strategy for osteoporosis treatment. Full article
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<p>(<b>A</b>) HE staining of mouse pancreatic tissue at 4, 6, and 8 weeks. (<b>B</b>) HE and Masson staining results of mouse pancreatic tissue at the 4th, 6th and 8th weeks. (<b>C</b>) Relative weight of pancreas. (<b>D</b>) Concentration of TGF−β in serum. (<b>E</b>) Fecal elastase−1 content in feces. (<b>F</b>) a−SMA. (<b>G</b>) Collagen. (<b>H</b>) Fibronectin1. (<b>I</b>) Micro−CT of mouse femurs. (<b>J</b>) BMD analysis. (<b>K</b>) Tb.Th analysis. (<b>L</b>) BS/TV analysis. Data are presented as mean ± SD (<span class="html-italic">n</span> = 10 biologically independent samples; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 by comparison with the control group.</p>
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<p>Polar small molecule metabolites in pancreatic tissue and serum of mice. (<b>A</b>) Pancreatic tissue OPLS−DA. (<b>B</b>) OPLS−DA of serum samples. (<b>C</b>) Volcanic map of pancreatic tissue. (<b>D</b>) Volcanic maps of serum samples. (<b>E</b>) Heat maps of metabolites associated with glucose metabolism in pancreatic tissue are presented. (<b>F</b>) Heat maps of metabolites associated with glucose metabolism in serum samples are presented.</p>
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<p>Lipid compounds in mouse pancreatic tissue and serum. (<b>A</b>) Heat map of lipid compounds in mouse pancreatic tissue. (<b>B</b>) Heat map of lipid compounds in mouse serum.</p>
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<p>Metabolic pathways of lipid compounds with significant differences in mouse pancreatic tissue and serum were analyzed. (<b>A</b>) Bubble map of lipid pathway enrichment in mouse pancreatic tissue. (<b>B</b>) Bubble map of lipid pathway enrichment in mouse serum.</p>
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<p>The relative content of n−3 fatty acids in pancreas, serum and bone. (<b>A</b>–<b>D</b>) The relative contents of n−3 fatty acids in the pancreas in each group. (<b>E</b>–<b>I</b>) The relative contents of n−3 fatty acids in serum in each group. (<b>J</b>–<b>M</b>) The relative contents of n−3 fatty acids in bone in each group. (<b>N</b>–<b>P</b>) The Pearson correlation chart of n−3 fatty acids and bone−related indexes in the pancreas, serum, and bone tissue. (<b>Q</b>) A correlation network diagram of n−3 fatty acids in the pancreas (_P), serum (_S), bone tissue (_B), and bone−related indexes. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 by comparison with the control group.</p>
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<p>The relative content of n−3 fatty acids in pancreas, serum and bone. (<b>A</b>–<b>D</b>) The relative contents of n−3 fatty acids in the pancreas in each group. (<b>E</b>–<b>I</b>) The relative contents of n−3 fatty acids in serum in each group. (<b>J</b>–<b>M</b>) The relative contents of n−3 fatty acids in bone in each group. (<b>N</b>–<b>P</b>) The Pearson correlation chart of n−3 fatty acids and bone−related indexes in the pancreas, serum, and bone tissue. (<b>Q</b>) A correlation network diagram of n−3 fatty acids in the pancreas (_P), serum (_S), bone tissue (_B), and bone−related indexes. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 by comparison with the control group.</p>
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<p>Qingyi granules improved lipid metabolism disorder of CP−OP. (<b>A</b>) PCA between Con group and CP group. (<b>B</b>) Orthogonal partial least squares—discriminant analysis of relative content of metabolites. (<b>C</b>,<b>D</b>) Relative content of α−linolenic acid (<b>C</b>) and docosapentaenoic acid (<b>D</b>) in serum. (<b>E</b>) Permutation verification of OPLS−DA model. (<b>F</b>) Heat map of relative content of metabolites between CP and QYKL groups.</p>
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<p>Qingyi granules attenuated CP and pancreatic fibrosis in mice. (<b>A</b>) The bodyweight changes in mice in the control, CP, and QYKL groups. (<b>B</b>) Representative images of HE and Masson staining of the pancreas. (<b>C</b>) The relative pancreas weights of the Con, CP, and QYKL groups. (<b>D</b>,<b>E</b>) The levels of TGF−β1 in the serum and fecal elastase−1 from the mice as determined by ELISA. Presented as mean ± SD (<span class="html-italic">n</span> = 8 biologically independent samples; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt;0.01 by comparison with the control group and # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01 by comparison with the CP group). (<b>F</b>–<b>H</b>) The qPCR analysis of αSMA, Collagen1, and Fibronectin1 in the pancreas. (<b>I</b>) The Western blot analysis of αSMA, Collagen1, and Fibronectin1 in the lysates of femoral metaphyses from the Con, CP, and QYKL groups.</p>
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<p>Qingyi granules relieved CP−induced osteoporosis. (<b>A</b>) Representative three−dimensional and two−dimensional pictures of trabecular bone in the distal femur. (<b>B</b>–<b>D</b>) The relative quantification of bone mineral density (BMD), trabecular thickness (Tb.Th), and trabecular bone surface density/total volume (BS/TV) in distal femurs from the control, CP, and QYKL mice. Presented as mean ± SD (<span class="html-italic">n</span> = 3 biologically independent samples; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt;0.01 by comparison with the control group and # <span class="html-italic">p</span> &lt; 0.05, ## <span class="html-italic">p</span> &lt; 0.01 by comparison with the CP group). (<b>E</b>) Representative HE− and TRAP−stained images of femoral sections from the control, CP, and QYKL mice. The wine−red area after TRAP staining indicates osteoclasts.</p>
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24 pages, 18947 KiB  
Article
Mechanistic Insights into Salvigenin for Glucocorticoid-Induced Femoral Head Osteonecrosis: A Network Pharmacology and Experimental Study
by Zhengjie Zhu, Yujian Zhong, Ruyuan He, Changheng Zhong, Junwen Chen and Hao Peng
Biomedicines 2025, 13(3), 614; https://doi.org/10.3390/biomedicines13030614 - 3 Mar 2025
Viewed by 217
Abstract
Background/Objectives: Glucocorticoid-induced osteonecrosis of the femoral head (GIOFH) is a debilitating condition resulting from impaired bone metabolism and vascular disruption due to prolonged glucocorticoid use. This study aimed to explore the therapeutic potential of salvigenin, a flavonoid with antioxidative and estrogen-like properties, in [...] Read more.
Background/Objectives: Glucocorticoid-induced osteonecrosis of the femoral head (GIOFH) is a debilitating condition resulting from impaired bone metabolism and vascular disruption due to prolonged glucocorticoid use. This study aimed to explore the therapeutic potential of salvigenin, a flavonoid with antioxidative and estrogen-like properties, in alleviating GIOFH by modulating estrogen receptor alpha (ESR1) pathways. Methods: A network pharmacology approach was utilized to identify salvigenin’s potential targets and their association with GIOFH. Protein–protein interaction networks, along with Gene Ontology and KEGG pathway analyses, were conducted to clarify salvigenin’s multi-target mechanisms. Molecular docking and dynamics simulations assessed the interaction between salvigenin and ESR1. Experimental validation included in vitro assays on MG63 cells treated with dexamethasone (Dex) to mimic GIOFH, evaluating oxidative stress, apoptosis, osteogenic differentiation, and ESR1 expression. Results: Network analysis identified ESR1, NOS3, and MMP9 as key hub targets of salvigenin. Molecular docking and dynamics simulations confirmed stable binding of salvigenin to ESR1. Salvigenin significantly reduced Dex-induced oxidative stress and apoptosis in osteoblasts while restoring osteogenic differentiation and ESR1 expression. Functional assays showed improved mineralized nodule formation, ALP activity, and mitochondrial integrity in salvigenin-treated cells. Conclusions: Salvigenin exhibits significant therapeutic potential in addressing GIOFH through ESR1-mediated pathways. These results offer a strong foundation for future translational studies and the development of salvigenin-based therapies for glucocorticoid-induced bone disorders. Full article
(This article belongs to the Special Issue New Insights into Bone and Cartilage Biology)
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<p>Target recognition and enrichment analysis of salvigenin for GIOFH. (<b>A</b>) Chemical structure of salvigenin. (<b>B</b>) Venn diagram showing the intersection between GIOFH-related and salvigenin-predicted targets, identifying 18 shared targets. (<b>C</b>) PPI network of the 18 overlapping targets constructed utilizing the STRING database, with edge confidence thresholds above 0.9. (<b>D</b>) Hub gene analysis of the PPI network using MCC scoring, highlighting the top-ranked genes (e.g., <span class="html-italic">ESR1</span>, <span class="html-italic">NOS3</span>, and <span class="html-italic">MMP9</span>) as critical targets of salvigenin. (<b>E</b>) MCC score ranking of the 18 overlapping genes, with <span class="html-italic">ESR1</span> identified as the top hub gene. (<b>F</b>) KEGG pathway enrichment analysis of the shared targets revealed significant enrichment in critical pathways, including the estrogen signaling pathway and the thyroid hormone signaling pathway. (<b>G</b>) Gene Ontology (GO) functional enrichment analysis of the shared targets highlights biological processes (top panel), cellular components (middle panel), and molecular functions (bottom panel) significantly linked to the therapeutic mechanisms of salvigenin.</p>
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<p>Transcriptomic and pathway insights into glucocorticoid-induced osteoblast dysfunction. (<b>A</b>) Volcano plot showing differentially expressed genes in osteoblasts following glucocorticoid treatment. (<b>B</b>) KEGG enrichment analysis of DEGs, highlighting key pathways, such as the TNF signaling pathway and osteoblast differentiation. (<b>C</b>) Gene Ontology (GO) enrichment analysis of DEGs categorized into biological processes, molecular functions, and cellular components. (<b>D</b>) Heatmap of hierarchical clustering analysis showing distinct expression patterns of DEGs across experimental conditions. (<b>E</b>) GSEA identifying significantly enriched pathways, including TNF signaling and oxidative stress-related pathways. (<b>F</b>) GSEA showing the upregulation of the ovarian steroidogenesis pathway in glucocorticoid-treated osteoblasts. (<b>G</b>) GSEA results indicating suppression of pathways related to G protein-coupled and nuclear estrogen receptor activities. (<b>H</b>) Enrichment plot for G protein-coupled estrogen receptor activity, showing marked suppression under glucocorticoid treatment. (<b>I</b>) Enrichment plot for nuclear estrogen receptor activity, demonstrating its significant downregulation in response to glucocorticoids.</p>
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<p>Molecular docking and molecular dynamics simulations of salvigenin binding to <span class="html-italic">ESR1</span>. (<b>A</b>) Docking results showing salvigenin binding within the ligand-binding domain of <span class="html-italic">ESR1</span>. Surface and ribbon models depict the protein structure, while the detailed 2D interaction map highlights key hydrogen bonds and hydrophobic interactions with residues LEU347, THR347, LYS530, LEU525, and VAL534. (<b>B</b>) Root mean square deviation (RMSD) plot showing structural stability of the protein–ligand complex, free ligand, and free protein during 100 ns molecular dynamics (MD) simulations. (<b>C</b>) Radius of gyration (Rg) analysis indicating the compactness of the <span class="html-italic">ESR1</span>–salvigenin complex throughout the simulation. (<b>D</b>) Root mean square fluctuation (RMSF) plot identifying flexibility variations across <span class="html-italic">ESR1</span> residues, highlighting stable regions in the ligand-binding domain. (<b>E</b>) Distance analysis showing stable docking interactions between the ligand and the active site during the MD simulation. (<b>F</b>) Solvent-accessible surface area (SASA) analysis of the protein–ligand complex, reflecting sustained interactions with the solvent environment. (<b>G</b>) Molecular dynamics trajectory showing the dynamic behavior of the <span class="html-italic">ESR1</span>–salvigenin complex, represented as a time-lapse ribbon model. (<b>H</b>) Binding energy decomposition over simulation time, indicating contributions from van der Waals, electrostatic, and binding energy terms. (<b>I</b>) Per-residue binding energy analysis highlighting key residues, such as GLU353 and ARG394, contributing to salvigenin binding. (<b>J</b>) Hydrogen bond occupancy histogram showing the frequency and stability of hydrogen bonds between salvigenin and <span class="html-italic">ESR1</span> throughout the simulation.</p>
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<p>Salvigenin protects osteoblasts from glucocorticoid-induced apoptosis and restores <span class="html-italic">ESR1</span> expression. (<b>A</b>–<b>C</b>) Cell viability assays using CCK-8 (n = 3). (<b>A</b>) Dose-dependent cytotoxicity of dexamethasone (Dex) in MG63 cells. (<b>B</b>) Dose-response effects of salvigenin on cell viability, showing no cytotoxic effects up to 50 μM. (<b>C</b>) Salvigenin protects against Dex-induced cytotoxicity, restoring cell viability in a dose-dependent manner. * <span class="html-italic">p</span> &lt; 0.05 compared to control; # <span class="html-italic">p</span> &lt; 0.05 compared to Dex. (<b>D</b>) Immunofluorescence analysis of <span class="html-italic">ESR1</span> expression (red) in MG63 cells under different treatments: control, Dex, and Dex+salvigenin. Nuclei are stained with DAPI (blue). Merged images highlight the restoration of <span class="html-italic">ESR1</span> expression with salvigenin treatment. (<b>E</b>–<b>I</b>) Western blot analysis of apoptosis-related proteins and <span class="html-italic">ESR1</span>. (<b>E</b>) Representative protein bands for <span class="html-italic">ESR1</span>, Bax, Bcl-2, and Caspase-3, with GAPDH as the loading control. Quantification of (<b>F</b>) <span class="html-italic">ESR1</span>, (<b>G</b>) Bax, (<b>H</b>) Bcl-2, and (<b>I</b>) Caspase-3 protein levels, showing that salvigenin reverses Dex-induced apoptotic signaling (n = 3). * <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. (<b>J</b>,<b>K</b>) Flow cytometry analysis of apoptosis using Annexin V-FITC/PI staining. (<b>J</b>) Representative dot plots showing early and late apoptotic cell populations under control, Dex, and Dex+salvigenin treatments. (<b>K</b>) Quantification of total apoptosis rates, with salvigenin significantly reducing Dex-induced apoptosis (n = 3). ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Salvigenin restores osteogenic differentiation impaired by glucocorticoids. (<b>A</b>) Alizarin Red S and ALP staining showing mineralized nodule formation (top panel) and alkaline phosphatase activity (bottom panel) in MG63 cells under control, Dex-treated, and Dex+salvigenin conditions. Salvigenin restores osteogenic capacity reduced by Dex. (<b>B</b>,<b>C</b>) Immunofluorescence analysis of osteogenic markers. (<b>B</b>) Expression of osteopontin (OPN, red) and (<b>C</b>) runt-related transcription factor 2 (RUNX2, red) in MG63 cells treated with Dex and salvigenin. Nuclei were counterstained with DAPI (blue). Merged images demonstrate salvigenin rescues osteogenic marker expression. (<b>D</b>–<b>F</b>) Western blot analysis of OPN and RUNX2. (<b>D</b>) Representative protein bands for OPN, RUNX2, and GAPDH (loading control). (<b>E</b>,<b>F</b>) Quantification of OPN (<b>E</b>) and RUNX2 (<b>F</b>) protein levels, showing significant restoration with salvigenin treatment (n = 3). * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Salvigenin suppresses glucocorticoid-induced oxidative stress and preserves mitochondrial integrity in osteoblasts. (<b>A</b>) Intracellular reactive oxygen species (ROS) levels detected using DCFH-DA staining. Dex treatment significantly increases ROS levels, while co-treatment with salvigenin reduces oxidative stress. (<b>B</b>) Mitochondrial membrane potential assessed via JC-1 staining. Normal, polarized mitochondria exhibit red fluorescence, whereas depolarized mitochondria show green fluorescence. Dex treatment induces mitochondrial depolarization, increasing green fluorescence. Salvigenin co-treatment restores mitochondrial polarization, as indicated by an increased red-to-green fluorescence ratio.</p>
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<p>Salvigenin alleviates glucocorticoid-induced femoral head necrosis in vivo. (<b>A</b>) Hematoxylin and eosin (H&amp;E) staining of femoral head sections showing trabecular bone structure and osteocyte distribution. The control group exhibits well-preserved trabecular bone with intact osteocytes, whereas the Dex-treated group shows disorganized trabeculae, increased empty lacunae, and reduced osteocyte density. Salvigenin co-treatment (Dex+salvigenin) significantly restores trabecular bone integrity and osteocyte preservation. (<b>B</b>) Immunohistochemical staining for <span class="html-italic">ESR1</span> in femoral head sections. The control group shows strong <span class="html-italic">ESR1</span> expression (brown staining), which is significantly reduced in the Dex-treated group. Salvigenin co-treatment restores <span class="html-italic">ESR1</span> expression levels, indicating its role in mitigating glucocorticoid-induced bone damage.</p>
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11 pages, 1149 KiB  
Review
Bone and Hemophilia: The Role of Factor VIII—Systematic Review
by Micaela Berni, Antonella Forlino, Laura Caliogna, Liliana De Felice, Matteo Nicola Dario Di Minno, Eugenio Jannelli, Mario Mosconi, Francesca Tonelli, Camilla Torriani and Gianluigi Pasta
Int. J. Mol. Sci. 2025, 26(5), 2172; https://doi.org/10.3390/ijms26052172 - 28 Feb 2025
Viewed by 574
Abstract
Factor VIII (FVIII) is involved in several molecular pathways and biological processes; indeed, it has a role in the coagulative cascade, cardiovascular disease, hypertension, brain and renal function, cancer incidence and spread, macrophage polarization, and angiogenesis. Hemophilic patients usually present an increase in [...] Read more.
Factor VIII (FVIII) is involved in several molecular pathways and biological processes; indeed, it has a role in the coagulative cascade, cardiovascular disease, hypertension, brain and renal function, cancer incidence and spread, macrophage polarization, and angiogenesis. Hemophilic patients usually present an increase in fracture risk, bone resorption, and an excess of osteoporosis as compared to healthy individuals. Several studies have tried to clarify their etiology but unfortunately it is still unclear. This review focuses on the role of FVIII in bone biology by summarizing all the knowledge present in the literature. We carried out a systematic review of the available literature following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Several studies demonstrated that FVIII is involved in different molecular pathways interfering with bone physiology; it exerts interesting effects on OPG/RANK/RANKL pathways and thrombin/PAR1 pathways. These data confirm a relationship between FVIII and bone metabolism; however, there are still many aspects to be clarified. This review highlights the role of the coagulation factor FVIII in bone metabolism, suggesting new hypotheses for future studies both in vitro and in vivo to better understand the important pleiotropic role of FVIII and hopefully to develop new therapeutic agents for skeletal diseases. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Musculoskeletal Involvement in Rare Diseases)
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<p>PRISMA 2020 flow diagram for new systematic reviews, which included searches of databases, registers, and other sources.</p>
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<p>Bone turnover. The image shows the molecular pathways involved in bone turnover and the principal effects. Abbreviations: OPG (osteoprotegerin), RANK (receptor activator of nuclear factor κB), RANKL (ligand of RANK), TRAIL (TNF-related apoptosis-inducing ligand), PAR-1 (protease-activated receptors 1), IL-10 (cytokine interleukin-10), IL-12 (cytokine interleukin-12), IL-1 (cytokine interleukin-1), IL-6 (cytokine interleukin-6), IFNα (interferon gamma), TNF-α (tumour necrosis factor).</p>
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<p>Role of FVIII in bone turnover. The image shows the role of factor VIII in bone turnover and the principal effects in the molecular pathways involve. Abbreviations: FVIII (factor VIII), OPG (osteoprotegerin), RANK (receptor activator of nuclear factor κB), RANKL (ligan of RANK), TRAIL (TNF-related apoptosis-inducing ligand), PAR-1 (protease-activated receptors 1), IL-10 (cytokine interleukin-10), IL-12 (cytokine interleukin-12), IL-1 (cytokine interleukin-1), IL-6 (cytokine interleukin-6), IFNα (interferon gamma), TNF-α (tumour necrosis factor), KO FVIII (knockout of factor VIII).</p>
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