A two-sample Mendelian randomization study reveals the causal effects of statin medication on gut microbiota abundance in the European population DOI Creative Commons

Peng Zhou,

Chen Qiu,

Zequn Zhuang

et al.

Frontiers in Genetics, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 13, 2024

Background Observational studies have reported changes in gut microbiota abundance caused by long-term statin medication therapy. However, the causal relation between and subsets based on genetic variants remains unclear. Methods We used genome-wide association study (GWAS) data from FinnGen database GWAS IEU OpenGWAS project. A Mendelian randomization (MR) analysis was conducted to evaluate effect of using inverse variance weighting (IVW) method, MR-Egger regression, weighted median approach. Meanwhile, heterogeneity pleiotropy analyses were also undertaken this study. Results Statin negatively correlated with five species abundance: Parabacteroides (Beta IVW = −0.2745, 95% CI (−0.4422, −0.1068), P 0.0013), Ruminococcaceae UCG-009 −0.1904, (−0.3255, −0.0553), 0.0057), Coprococcus 1 −0.1212, (−0.2194, −0.0231), 0.0154), UCG-010 −0.1149, (−0.2238, −0.0060), 0.0385), Veillonellaceae −0.0970, 0.0060), 0.0400) positively one microbiota: Desulfovibrio 0.2452, (0.0299, 0.4606), 0.0255). In addition, no significant or detected abovementioned microbiota. Conclusion This indicates a relationship six species. These findings may provide new strategies for health monitoring populations taking medications.

Language: Английский

Precision medicine for personalized cholecystitis care: integrating molecular diagnostics and biotherapeutics DOI Creative Commons

Tamer A. Addissouky

Bulletin of the National Research Centre/Bulletin of the National Research Center, Journal Year: 2024, Volume and Issue: 48(1)

Published: Sept. 12, 2024

Abstract Background Acute cholecystitis, inflammation of the gallbladder, can lead to serious complications if not promptly diagnosed and managed. Conventional therapies have limitations, necessitating newer personalized approaches. Main body abstract This review examines recent advances transforming cholecystitis care. Diagnostically, molecular techniques like next-generation sequencing rapidly identify causative microbes from gallbladder specimens, enabling targeted antimicrobial therapy. Regarding treatment, phage therapy uses viruses lyse pathogenic bacteria. RNA interference CRISPR-Cas9 gene editing silence microbial virulence factors. Probiotics competitively exclude pathogens. Robotics fluorescence imaging refine surgical techniques. Additional emerging modalities include biosensors detecting inflammatory mediators, regenerative tissue engineering using stem cells, artificial intelligence for real-time decision support. However, optimal integration novel technologies with current best practices remains unknown. Further research is needed validate optimize diagnostics therapeutics cholecystitis. Short conclusions Advances in sequencing, CRISPR editing, robotics, other biotechnologies promise transform precision management when thoughtfully implemented. controlled trials are still required define conventional supportive care antibiotics.

Language: Английский

Citations

4
Gut microbiome and inflammation in cardiovascular drug response: trends in therapeutic success and commercial focus DOI
Firoz Anwar, Fahad A. Al‐Abbasi,

Omar A. Al-Bar

et al.

Inflammopharmacology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 2, 2024

Language: Английский

Citations

1
A two-sample Mendelian randomization study reveals the causal effects of statin medication on gut microbiota abundance in the European population DOI Creative Commons

Peng Zhou,

Chen Qiu,

Zequn Zhuang

et al.

Frontiers in Genetics, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 13, 2024

Background Observational studies have reported changes in gut microbiota abundance caused by long-term statin medication therapy. However, the causal relation between and subsets based on genetic variants remains unclear. Methods We used genome-wide association study (GWAS) data from FinnGen database GWAS IEU OpenGWAS project. A Mendelian randomization (MR) analysis was conducted to evaluate effect of using inverse variance weighting (IVW) method, MR-Egger regression, weighted median approach. Meanwhile, heterogeneity pleiotropy analyses were also undertaken this study. Results Statin negatively correlated with five species abundance: Parabacteroides (Beta IVW = −0.2745, 95% CI (−0.4422, −0.1068), P 0.0013), Ruminococcaceae UCG-009 −0.1904, (−0.3255, −0.0553), 0.0057), Coprococcus 1 −0.1212, (−0.2194, −0.0231), 0.0154), UCG-010 −0.1149, (−0.2238, −0.0060), 0.0385), Veillonellaceae −0.0970, 0.0060), 0.0400) positively one microbiota: Desulfovibrio 0.2452, (0.0299, 0.4606), 0.0255). In addition, no significant or detected abovementioned microbiota. Conclusion This indicates a relationship six species. These findings may provide new strategies for health monitoring populations taking medications.

Language: Английский

Citations

0