Analysis of Intestinal Flora and Serum Metabolomics in Patients with Pre-diabetic Sputum Syndrome
10.13422/j.cnki.syfjx.20241796
- VernacularTitle:糖尿病前期痰证患者肠道菌群及血清代谢组学分析
- Author:
Zhishan WANG
1
;
Liangliang HUANG
2
;
Wei ZHANG
3
;
Mingyi CHEN
3
;
Shaojian XIAO
1
;
Shujiao CHEN
1
Author Information
1. The Third People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine（TCM），Fuzhou 350122，China
2. School of Chinese Medicine，Fujian University of TCM，Fuzhou 350122，China
3. The People's Hospital Affiliated to Fujian University of TCM，Fuzhou 350000，China
- Publication Type:Journal Article
- Keywords:
pre-diabetes;
phlegm syndrome;
intestinal flora;
metabonomics
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2024;30(18):146-156
- CountryChina
- Language:Chinese
-
Abstract:
Objectiveto investigate the differential expression of intestinal flora and serum metabolites and potential biomarkers in patients with pre-diabetic sputum syndrome. MethodA total of 34 patients with pre-diabetic sputum syndrome were included as the phlegm syndrome group，and 37 healthy people were selected as the normal group. Serum and fecal samples of the two groups were collected，and liquid chromatography-mass spectrometry （LC-MS） non-targeted metabolomics and 16S rRNA high-throughput sequencing technology were used to detect serum metabolites and different intestinal flora of the two groups and explore the relationship among pre-diabetic sputum syndrome，serum metabolites，and intestinal flora. ResultIn the distribution of disease syndrome elements in the phlegm syndrome group，the first five disease syndrome elements in terms of frequency and proportion were dampness （73.53%），Qi stagnation （58.82%），Yin deficiency （50.00%），blood stasis （41.18%），and heat （35.29%）. According to the frequency and proportion of disease location syndrome elements，the first three main disease location syndrome elements were spleen （100.00%），liver （41.18%），and kidney （23.53%）. The results of 16S rRNA high-throughput sequencing showed that there were 44 different intestinal flora between the two groups. In order genus，there were significant differences in Bifidobacterium，Veillonococcus，and Roseococcus between the two groups （P<0.05）. The diversity，abundance，and evenness of intestinal flora in the phlegm syndrome group were lower than those in the normal group，with the difference not statistically significant. There was no significant difference in the community structure between two groups. The results of serum metabolomics showed that there were 13 differential metabolites in the two groups，which were mainly concentrated in amino acid metabolism，bile secretion，bile acid biosynthesis，and lipid metabolism （P<0.05）. The correlation among differential metabolites，intestinal flora，and syndrome elements was analyzed，and the results showed that ① lysine was positively correlated with spleen，Yin deficiency，and blood stasis，while taurocholic acid was positively correlated with liver，kidney，blood stasis，and dampness，and there was a positive correlation between taurocholic acid and yin deficiency and heat. The taurochenodeoxycholic acid was positively correlated with liver and dampness，and there was a negative correlation between arachidonic acid and dampness，as well as a positive correlation between glucose and spleen and blood stasis. ② Clostridium was positively correlated with spleen，kidney，Yin deficiency，and Qi stagnation. Rosepiella was negatively correlated with spleen，and Sutterella was negatively correlated with dampness. Bacteroides was negatively correlated with the spleen and kidney，and Bifidobacterium was negatively correlated with the spleen and dampness. ③ Bifidobacterium was positively correlated with glycine，threonine，lysine，and deoxycholic acid significantly，negatively correlated with cholic acid significantly，and positively correlated with taurochenodeoxycholic acid and pyruvic acid. Clostridium was positively correlated with glycine significantly and positively correlated with threonine and lysine. Lachnospira was negatively correlated with glycine，threonine，and pyruvic acid. Lysine was also negatively correlated with Faecalibacterium and Eubacterium ventriosum and positively correlated with Megamonas. There was a positive correlation between taurocholic acid and glycine bile acid and Campylobacter，between taurochenodeoxycholic acid and Veillonococcus，and between glucose and Rosepiella and Eubacterium ventriosum. There was a negative correlation between pyruvic acid and Escheria-Shigella and between taurochenodeoxycholic acid and Prevotella. Conclusionthere are differences in intestinal flora and serum metabolites between patients with pre-diabetic sputum syndrome and healthy people. The intestinal flora and metabolites have been disturbed in the stage of pre-diabetes，Bifidobacterium，Clostridium，Lachnospira，glycine，threonine，and lysine may be the breakthrough to explore the development of pre-diabetic sputum syndrome.
