Gut Microbiota Signature of Obese Adults Across Different Classifications

Abstract

Junqing Hu,1,2,* Pengsen Guo,1,* Rui Mao,3,* Zhengyun Ren,1,4 Jun Wen,1,4 Qin Yang,1,5 Tong Yan,1 Jiahui Yu,1 Tongtong Zhang,1,2 Yanjun Liu1 1Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, the Third People’s Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, People’s Republic of China; 2Medical Research Center, the Third People’s Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, People’s Republic of China; 3Department of Dermatology, Xiangya Hospital, Central South University, Changsha, People’s Republic of China; 4College of Medicine, Southwest Jiaotong University, Chengdu, People’s Republic of China; 5Department of General Surgery, the Third People’s Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University, Chengdu, People’s Republic of China*These authors contributed equally to this workCorrespondence: Tongtong Zhang, Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, & Medical Research Center, the Third People’s Hospital of Chengdu, Chengdu, People’s Republic of China, Email [email protected]; Yanjun Liu, Center of Gastrointestinal and Minimally Invasive Surgery, Department of General Surgery, the Third People’s Hospital of Chengdu, No. 82, Qinglong Street, Qingyang District, Chengdu, 610031, People’s Republic of China, Emai l [email protected]: Obesity is currently a major global public health issue. It has been shown by many that gut microbiota and microbial factors regulate the pathogenesis of obesity and metabolic abnormalities, but little is known about their roles in the different degrees of obesity. Here, we sought to investigate the microbial signatures of obesity of various severities.Patients and Methods: We did this by characterizing the intestinal microbiome signature in a Chinese cohort of obese patients and healthy controls using 16S rRNA gene sequencing. To this end, obesity was sub-divided into four subgroups, including “Overweight”, Class I, Class II, and Class III obesity, based on body mass index (BMI).Results: Microbial diversity decreased in obese subjects, and the reduction trend was correlated with the severity of obesity. We detected an expansion of Escherichia shigella in obese patients compared to healthy controls. The family Eubacterium coprostanoligenes and Tannerellaceae, the genera Eubacterium coprostanoligenes, Lachnospiraceae NK4A136, Parabacteroides, and Akkermansia, and the species Prevotella copri were microbial biomarkers of healthy people. Gammaproteobacteria and Enterobacterales were biomarkers of being “Overweight”. Erysipelatoclostridiaceae was a biomarker of Class I obesity. The class Bacilli and the order Lactobacillales were both biomarkers of Class II obesity. Negativicutes was a biomarker of Class III obesity. We further established relationships between this microbiome data and other biochemical data, including albumin, low-density lipoprotein (LDL), high-density lipoprotein (HDL), vitamin folic acid (FA) and vitamin B12 (VB12), and Interleukin-6 (IL-6) levels. Function prediction results showed a marked energy metabolism dysbiosis in obesity, especially in patients with Class III obesity.Conclusion: These results suggested that people with different levels of obesity had distinct gut microbial signatures. Decreased microbial diversity, depletion of some specific taxa, and deviation in potential functions mirrored the severity of obesity in this cohort.Keywords: body mass index, degree of obesity, fecal microbiota, 16S rRNA sequencing

Keywords

• body mass index
• degree of obesity
• fecal microbiota
• 16s rrna sequencing.