Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 10, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 10, 2024
Language: Английский
Frontiers in Aging Neuroscience, Journal Year: 2024, Volume and Issue: 16
Published: March 27, 2024
Introduction Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease with poorly understood pathophysiology. Recent studies have highlighted systemic inflammation, especially the role of circulating inflammatory proteins, in ALS. Methods This study investigates potential causal link between these proteins and We employed two-sample Mendelian Randomization(MR) approach, analyzing data from large-scale genome-wide association to explore relationship 91 included various MR methods like Egger, weighted median, inverse-variance weighted, complemented by sensitivity analyses for robust results. Results Significant associations were observed levels including Adenosine Deaminase, Interleukin-17C, Oncostatin-M, Leukemia Inhibitory Factor Receptor, Osteoprotegerin, ALS risk. Consistencies noted across different P -value thresholds. Bidirectional suggested that risk might influence certain proteins. Discussion Our findings, via analysis, indicate sheds new light on pathophysiology suggests possible therapeutic targets. Further research required confirm results understand specific roles
Language: Английский
Citations
6Frontiers in Microbiology, Journal Year: 2024, Volume and Issue: 15
Published: April 3, 2024
Background Observational studies and some experimental investigations have indicated that gut microbiota are closely associated with the incidence progression of chronic renal failure. However, causal relationship between failure remains unclear. The present study employs a two-sample Mendelian randomization approach to infer at genetic level. This research aims determine whether there is effect on risk failure, aiming provide new evidence support targeted therapy for treatment Methods Employing genome-wide association (GWAS) data from public MiBioGen IEU OpenGWAS platform, analysis was conducted. inferred using five different methods: Inverse Variance Weighted, MR-Egger, Weighted Median, Simple Mode, Mode. incorporated sensitivity analyses encompassed evaluations pleiotropy heterogeneity. Subsequently, results underwent stringent correction multiple testing, employing False Discovery Rate method enhance validity our findings. Results According method, seven bacterial genera show significant outcome variable Of these, Ruminococcus (gauvreauii group) (OR = 0.82, 95% CI 0.71–0.94, p 0.004) may act as protective factor against while Escherichia-Shigella 1.22, 1.08–1.38, 0.001), Lactococcus 1.1, 1.02–1.19, 0.013), Odoribacter 1.23, 1.03–1.49, 0.026), Enterorhabdus 1.14, 1.00–1.29, 0.047), Eubacterium (eligens 1.18, 1.02–1.37, 0.024), Howardella 1.09–1.28, < 0.001) be factors after comparisons Rate, only associations remain significant, indicating other suggestive associations. Sensitivity did not reveal any or Conclusion Our suggests they serve potential targets future therapeutic interventions. exact mechanisms action yet clear, necessitating further elucidate their precise roles fully.
Language: Английский
Citations
5Frontiers in Nutrition, Journal Year: 2024, Volume and Issue: 11
Published: Sept. 19, 2024
Background The disorder of uric acid metabolism is closely associated with gut microbiota and short-chain fatty acids (SCFAs) dysregulation, but the biological mechanism unclear, limiting development acid-lowering active polysaccharides. Konjac glucomannan (KGM) could attenuate metabolic disturbance modulate microbiota. However, relationship between still unknown. Methods In this study, fecal samples were provided by healthy volunteers hyperuricemia (HUA) patients. Fecal from was regarded as NOR group. Similarly, 10% HUA suspension named Then, supernatant inoculated into a growth basal medium containing glucose or KGM, designated NOR-GLU NOR-KGM groups, while HUA-GLU HUA-KGM groups. All cultured in an anaerobic bag system. After fermentation for 24 h, collected further analysis composition intestinal microbiota, SCFAs concentration XOD enzyme activity. Results results showed that KGM be utilized degraded subjects, it structure their to more resemble addition, superior modulated effect on increasing Megasphaera , Faecalibacterium Lachnoclostridium Lachnospiraceae Anaerostipes Ruminococcus levels decreasing Butyricicoccus Eisenbergiella Enterococcus levels. Furthermore, solution inhibitory xanthine oxidase (XOD) activity, which might due metabolites such SCFAs. Conclusion conclusion, subjects investigated based vitro . present study. It found metabolized At genus level, decrease relative abundances significantly increased addition KGM. SCFAs, responsible inhibition Thus, exhibited probiotic function expected promising candidate remodeling
Language: Английский
Citations
5Food & Function, Journal Year: 2024, Volume and Issue: 15(12), P. 6335 - 6346
Published: Jan. 1, 2024
Currently, sleep disorders (SD) in the elderly are gaining prominence globally and becoming a significant public health concern. Methyl donor nutrients (MDNs), such as vitamin B6, B12, folate, choline, have been reported to potential improve disorders. Moreover, MDNs help maintain gut flora homeostasis, closely associated with development of SD. Nevertheless, there has lack comprehensive human studies examining association between intake In our study, we comprehensively evaluated SD used 16S rRNA gene sequencing explore underlying mechanism. We found that group (n = 91) had lower methyl-donor nutritional quality index (MNQI) trend toward compared control 147). Based on intestinal microbiome, beta diversity was higher high (HQ) low (LQ) group, it group. This suggests may regulate by modulating abundance distribution microbiota. Subsequently, performed correlation analyses relative microbiota, intake, Pittsburgh Sleep Quality Index (PSQI), identifying five genera regulatory roles. The KEGG pathway analysis indicated energy metabolism one-carbon might be pathways through which modulate sleep. study offers dietary guidance strategies for managing provides insights targeted microbiota intervention.
Language: Английский
Citations
4Published: Jan. 1, 2025
Background: Differences in the gut microbiota and related metabolites across populations may influence their causal relationship with chronic kidney disease (CKD), which remains unclear Chinese population.
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 14, 2025
Language: Английский
Citations
0Kidney International Reports, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0Phytomedicine, Journal Year: 2024, Volume and Issue: 135, P. 156128 - 156128
Published: Oct. 9, 2024
Language: Английский
Citations
3Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 30, 2025
Language: Английский
Citations
0Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12
Published: March 10, 2025
Purpose We aimed to investigate the potential association between aggregate index of systemic inflammation (AISI) and chronic kidney disease (CKD). Patients methods This study analyzed data from National Health Nutrition Examination Survey (NHANES) spanning 1999 2018. CKD was defined as either an estimated glomerular filtration rate (eGFR) less than 60 mL/min/1.73 m 2 or presence albuminuria, a urine albumin-to-creatinine ratio (ACR) 30 mg/g higher. Low eGFR is . Multivariate regression analysis, smoothed curve fitting, subgroup analyses were conducted relationship Inflammatory status CKD. The receiver operating characteristic (ROC) analysis used evaluate its ability identify low eGFR. AISI transformed using natural logarithm (Ln) for statistical analysis. Results Of 50,768 recruits, 49.86% male. prevalence 20.31% 8.57%, respectively. Ln-AISI positively associated with (OR = 1.24; 95% CI: 1.19, 1.28) 1.17; CI:1.11, 1.24). Smooth fitting revealed positive Subgroup interaction tests indicated that stratifications did not significantly alter Threshold effect this became more pronounced when exceeded 5.2 (AISI > 181.27). ROC showed had better discrimination accuracy identifying compared other inflammatory indicators [lymphocyte count (LYM), immune-inflammation (SII), platelet-to-lymphocyte (PLR), product platelet neutrophil (PPN)]. Conclusion correlated CKD, potent greater 181.27. Compared indicators, effective in
Language: Английский
Citations
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