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Purpose: Periodontitis is a chronic disease that ultimately leads to tooth loss. This study aimed to investigate the inflammatory effects of short-chain fatty acids (SCFAs) on human periodontal ligament cells (hPDLCs).
Methods: Immunofluorescence was employed to assess the expression of G protein-coupled receptors (GPRs) in hPDLCs. The Cell Counting Kit-8 and enzyme-linked immunosorbent assay kits were utilized to examine the regulatory effects of SCFAs on both the proliferation and secretion of pro-inflammatory factors in hPDLCs. Western blot analysis was performed to investigate the potential inflammatory responses in hPDLCs induced by SCFAs.
Results: GPR41 was expressed on the surface of hPDLCs. The viability of hPDLCs was significantly reduced after exposure to both 7 mM butyric acid and 10 mM propionic acid. Additionally, a combination of 10 mM butyric acid and 10 mM propionic acid significantly increased the production of interleukin (IL)-6, IL-1β, and tumor necrosis factor-α in hPDLCs. Treatment with both 7 mM butyric acid and 10 mM propionic acid led to a significant increase in p65 phosphorylation in hPDLCs. There was no statistical difference in proliferation and pro-inflammatory effects after the addition of a GPR41 receptor inhibitor compared to the phosphate-buffered saline control.
Conclusions: Butyric acid and propionic acid exhibited a synergistic effect in inhibiting the proliferation of hPDLCs and enhancing their pro-inflammatory responses. This may be mediated through the activation of GPR41. Additionally, these acids could synergistically activate the nuclear factor-κB signaling pathway via GPR41 in hPDLCs.
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http://dx.doi.org/10.5051/jpis.2402200110 | DOI Listing |
Anim Nutr
September 2025
School of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, Muang, Nakhon Ratchasima 30000, Thailand.
This experiment aimed to investigate the potential impact of supplementing different levels of black soldier fly (BSF) on growth performance, serum antioxidants, and ruminal microbiota of goats. Twenty-four native Anglo-Thai male goats (18.43 ± 0.
View Article and Find Full Text PDFAnim Nutr
September 2025
Animal Nutrition Institute, Chongqing Academy of Animal Science, Chongqing 402460, China.
Indole-3-propionic acid (IPA) is a metabolite of tryptophan produced by gut bacterial catabolism that has a variety of functions, including anti-inflammatory, free radical scavenging, and regulation of glucose metabolism. The present study evaluated the effects of dietary IPA supplementation on early muscle development in piglets. Twelve healthy Landrace × Rongchang piglets at 30 d of age were randomly divided into control (CON group, 10.
View Article and Find Full Text PDFFront Cell Infect Microbiol
September 2025
Department of Obstetrics, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China.
Introduction: Maternal weight gain and metabolic health during pregnancy significantly influence both short- and long-term outcomes for mother and child.
Methods: This systematic review and meta-analysis included data from 46 randomized controlled trials (RCTs), comprising over 12,500 pregnant women across diverse populations.
Results: Probiotic supplementation, especially multispecies formulations, initiated in the first trimester led to a mean reduction in gestational weight gain (GWG) of 1.
Res Sq
August 2025
Cleveland Clinic Genome Center, Cleveland Clinic Research, Cleveland Clinic, Cleveland, OH 44195, USA.
Alzheimer's disease (AD) exhibits metabolic heterogeneity; yet, the consequences on metabolic dynamics in a cell-type-specific manner and the underlying metabolite-sensor network basis remain unclear. Here, we show that neurons exhibit a striking decrease in energy and lipid-related metabolic activity, contrasted by an increase in microglial metabolism associated with neuroinflammation. To identify brain cell-type specific master metabolic regulators underlying the metabolic alterations of AD, we introduce scFUMES (ingle ell nctional tabolite-ensor), an algorithm integrating single-cell RNA sequencing, interactomics (protein-protein interactions), genomics, transcriptomics, and metabolomics from large human brain biobanks.
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