Gut microbiota induced abnormal amino acids and their correlation with diabetic retinopathy
Authors:   Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China; Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China; The First Affiliated Hospital of Bengbu Medical University, Bengbu 233000, Anhui Province, China, Jiang Sheng-Qun , Huang Yin-Hua ,   Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China; Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China, Ou Yi-Wen ,   Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China; Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China, Chen Ke-Yang ,   Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China; Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China; School of Public Health, Anhui Medical University, Hefei 230000, Anhui Province, China, Chen Jian-Su ,   Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China; Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China, Tang Shi-Bo ,   Aier Eye Hospital, Jinan University, Guangzhou 510000, Guangdong Province, China; Aier Eye Institute and Changsha Aier Hospital, Changsha 410000, Hunan Province, China
Published: April 2024

AIM: To explore the correlation of gut microbiota and the metabolites with the progression of diabetic retinopathy (DR) and provide a novel strategy to elucidate the pathological mechanism of DR.
METHODS: The fecal samples from 32 type 2 diabetes patients with proliferative retinopathy (PDR), 23 with non-proliferative retinopathy (NPDR), 27 without retinopathy (DM), and 29 from the sex-, age- and BMI- matched healthy controls (29 HC) were analyzed by 16S rDNA gene sequencing. Sixty fecal samples from PDR, DM, and HC groups were assayed by untargeted metabolomics. Fecal metabolites were measured using liquid chromatography-mass spectrometry (LC-MS) analysis. Associations between gut microbiota and fecal metabolites were analyzed.
RESULTS: A cluster of 2 microbiome and 12 metabolites accompanied with the severity of DR, and the close correlation of the disease progression with PDR-related microbiome and metabolites were found. To be specific, the structure of gut microbiota differed in four groups. Diversity and richness of gut microbiota were significantly lower in PDR and NPDR groups, than those in DM and HC groups. A cluster of microbiome enriched in PDR group, including Pseudomonas, Ruminococcaceae-UCG-002, Ruminococcaceae-UCG-005, Christensenellaceae-R-7, was observed. Functional analysis showed that the glucose and nicotinate degradations were significantly higher in PDR group than those in HC group. Arginine, serine, ornithine, and arachidonic acid were significantly enriched in PDR group, while proline was enriched in HC group. Functional analysis illustrated that arginine biosynthesis, lysine degradation, histidine catabolism, central carbon catabolism in cancer, D-arginine and D-ornithine catabolism were elevated in PDR group. Correlation analysis revealed that Ruminococcaceae-UCG-002 and Christensenellaceae-R-7 were positively associated with L-arginine, ornithine levels in fecal samples.
CONCLUSION: This study elaborates the different microbiota structure in the gut from four groups. The relative abundance of Ruminococcaceae-UCG-002 and Parabacteroides are associated with the severity of DR. Amino acid and fatty acid catabolism is especially disordered in PDR group. This may help provide a novel diagnostic parameter for DR, especially PDR.