Causal Relationships Between Specific Gut Microbiota Taxa, Plasma Metabolites, and Cerebral Small Vessel Disease Risk: A Mendelian Randomization Analysis.

IF 2.6 4区 医学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xuejiao Zhao, Yujie Li, Ting Lu, Huan Yan, Chao Xue, Juan Li
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引用次数: 0

Abstract

Aims: This study investigates causal relationships between gut microbiota (GM), plasma metabolites, and cerebral small vessel disease (CSVD), with a focus on identifying GM taxa and metabolites that mediate disease risk.

Methods: Summary data from genome-wide association studies on GM (MiBioGen), 1,400 plasma metabolites, and CSVD were analyzed using a two-step Mendelian randomization (MR) approach. The primary analysis utilized inverse-variance weighting, complemented by weighted median, weighted mode, and MR-Egger methods for robustness.

Results: The MR analysis identified 12 GM taxa associated with CSVD risk, including 7 taxa linked to increased risk (Veillonellaceae, Hungatella, Ruminococcus2, Lachnospiraceae UCG010, Streptococcus, Cyanobacteria, Verrucomicrobia) and 5 taxa linked to decreased risk (Faecalibacterium, Alphaproteobacteria, Eubacterium nodatum group, Fusicatenibacter, Rhodospirillales). Additionally, 10 plasma metabolites were causally associated with CSVD risk, with sphingomyelin (d18:2/14:0, d18:1/14:1), nicotinamide, and 3-ethylcatechol sulfate (2) linked to increased risk, while phosphate-to-uridine ratio, adenosine 5'-diphosphate (ADP)-toflavin adenine dinucleotide (FAD) ratio, arginine, caffeine-to-theobromine ratio, N-succinylphenylalanine, sphingosine, and phenylpyruvate-to-4-hydroxyphenylpyruvate ratio were linked to decreased risk. Mediation analysis identified 8 causal pathways through which plasma metabolites connect GM taxa to CSVD.

Conclusion: These findings underscore the substantial influence of GM and plasma metabolites on CSVD risk, highlighting potential therapeutic targets. Further investigation is needed to elucidate the biological mechanisms underlying these associations.

特定肠道微生物群、血浆代谢物和脑血管疾病风险之间的因果关系:孟德尔随机分析
目的:本研究探讨肠道微生物群(GM)、血浆代谢物和脑血管疾病(CSVD)之间的因果关系,重点确定介导疾病风险的GM分类群和代谢物。方法:采用两步孟德尔随机化(MR)方法分析GM (MiBioGen)、1400种血浆代谢物和CSVD全基因组关联研究的汇总数据。主要分析采用反方差加权,并辅以加权中位数、加权模式和MR-Egger方法进行稳健性分析。结果:MR分析确定了12个与CSVD风险相关的转基因分类群,包括7个与风险相关的分类群(Veillonellaceae, Hungatella, Ruminococcus2, Lachnospiraceae UCG010, Streptococcus, Cyanobacteria, Verrucomicrobia)和5个与风险相关的分类群(Faecalibacterium, Alphaproteobacteria, Eubacterium nodatum group, Fusicatenibacter, Rhodospirillales)。此外,10种血浆代谢物与CSVD风险有因果关系,鞘磷脂(d18:2/14:0, d18:1/14:1)、烟酰胺和3-乙基儿茶酚硫酸盐(2)与风险增加有关,而磷酸盐-尿苷比、腺苷5'-二磷酸(ADP)-黄嘌呤二核苷酸(FAD)比、精氨酸、咖啡因-可可碱比、n -琥珀基苯丙氨酸、鞘氨酸和苯基丙酮酸-4-羟基苯基丙酮酸比与风险降低有关。调解分析确定了血浆代谢物将转基因分类群与CSVD联系起来的8条因果途径。结论:这些发现强调了转基因和血浆代谢物对心血管疾病风险的实质性影响,强调了潜在的治疗靶点。需要进一步的研究来阐明这些关联背后的生物学机制。
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来源期刊
Current pharmaceutical biotechnology
Current pharmaceutical biotechnology 医学-生化与分子生物学
CiteScore
5.60
自引率
3.60%
发文量
203
审稿时长
6 months
期刊介绍: Current Pharmaceutical Biotechnology aims to cover all the latest and outstanding developments in Pharmaceutical Biotechnology. Each issue of the journal includes timely in-depth reviews, original research articles and letters written by leaders in the field, covering a range of current topics in scientific areas of Pharmaceutical Biotechnology. Invited and unsolicited review articles are welcome. The journal encourages contributions describing research at the interface of drug discovery and pharmacological applications, involving in vitro investigations and pre-clinical or clinical studies. Scientific areas within the scope of the journal include pharmaceutical chemistry, biochemistry and genetics, molecular and cellular biology, and polymer and materials sciences as they relate to pharmaceutical science and biotechnology. In addition, the journal also considers comprehensive studies and research advances pertaining food chemistry with pharmaceutical implication. Areas of interest include: DNA/protein engineering and processing Synthetic biotechnology Omics (genomics, proteomics, metabolomics and systems biology) Therapeutic biotechnology (gene therapy, peptide inhibitors, enzymes) Drug delivery and targeting Nanobiotechnology Molecular pharmaceutics and molecular pharmacology Analytical biotechnology (biosensing, advanced technology for detection of bioanalytes) Pharmacokinetics and pharmacodynamics Applied Microbiology Bioinformatics (computational biopharmaceutics and modeling) Environmental biotechnology Regenerative medicine (stem cells, tissue engineering and biomaterials) Translational immunology (cell therapies, antibody engineering, xenotransplantation) Industrial bioprocesses for drug production and development Biosafety Biotech ethics Special Issues devoted to crucial topics, providing the latest comprehensive information on cutting-edge areas of research and technological advances, are welcome. Current Pharmaceutical Biotechnology is an essential journal for academic, clinical, government and pharmaceutical scientists who wish to be kept informed and up-to-date with the latest and most important developments.
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