|
Characteristics of gut and plaque microbiota in the elderly with lower limb arteriosclerosis obliterans
ZHANG Youjia, XIE Hai, RAN Feng
2025, 39 (6):
611-616.
doi: 10.3969/j.issn.1003-9198.2025.06.016
Objective To investigate the characteristics of microbiota at gut and plaque in the elderly patients with lower limb arteriosclerosis obliterans(ASO), and to analyze the correlation of microbiota with clinical biomarkers. Methods A total of 5 elderly patients with ASO undergoing lower limb plaque atherectomy (ASO group) and 8 healthy elderly (control group) were enrolled in this study. The stool of ASO group and control group, the plaque of ASO patients (ASD-p group), and blood samples were collected, and the microbial composition was assessed using 16S rRNA sequencing. The difference in microbiota among the groups and the correlation of microbiota with clinical biomarkers were analyzed. Results Alpha diversity did not differ significantly among the three groups, but beta diversity analysis revealed significant differences in microbial composition (P=0.039). The predominant phyla were Firmicutes, Bacteroidetes, and Proteobacteria in the groups, and Halobacterota and Chloroflexi were uniquely detected in plaque samples. At the genus level, the gut microbiota in ASO group exhibited elevated levels of Bacteroides and Veillonella, reduced level of Faecalibacterium, while plaque samples showed increased levels of Lachnospira and Enterobacter, decreased level of Roseburia. LEfSe analysis identified characteristic gut taxa in ASO patients, potentially including Tannerellaceae and Sutterella wadsworthensis, whereas plaque microbiota were dominated by Actinobacteria, Bacteroides fragilis, and Dialister invisus. PICRUSt2 predictions demonstrated 32 significantly altered Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways in plaque microbiota. Correlation analyses showed that in the gut microbiota, Oscillibacter, Parabacteroides and UCG_003 was negatively correlated with Apolipoprotein AI (Apo-AI) and high-density lipoprotein cholesterol (HDL-C). Actinomyces was positively correlated with interleukin (IL)-8, Holdemania was negatively correlated with Apo-AI and IL-4, Streptococcus was negatively correlated with IL-8. Moreover, Anaerococcus and TM7x were positively correlated with HDL-C and negatively correlated with triglyceride (TG), while Erysipelatoclostridium was positively correlated with IL-8, IL-10, white blood cell(WBC), absolute neutrophil count (ANC) and absolute monocyte count (AMC). In the plaque microbiota, Pseudarthrobacter was significantly positively correlated with alkaline phosphatase (ALP); Conversely, Parabacteroides was negatively correlated with ALP. Bacillus was positively correlated with uric acid (UA) and negatively correlated with HDL-C. Pseudomonas was negatively correlated with IL-10, WBC, and ANC. Ruminococcus was positively correlated with IL-8 and interferon-γ (IFN-γ). Conclusions This study reveals significant differences in the composition of gut and plaque microbiota in the elderly patients with ASO, with specific taxa showing close correlations with inflammatory and plaque-related biomarkers. These findings suggest that the microbiota may play a critical role in the pathogenesis and progression of ASO.
References |
Related Articles |
Metrics
|