Growth factors in relation to obesity, food habits, and microbiota among healthy Saudis: preliminary results.

OBJECTIVE: Obesity is a serious problem among Saudis because of the country’s affluent lifestyle. Obesity is associated with various metabolic disorders and characterized by low-grade inflammation that leads to the release of pro-inflammatory cytokines, human growth factors (GFs), lipids, aberrant adipokines, and other chemokines from adipose tissue. The objective of this study is to delineate the effects of GFs on microbiota and their relationship to body mass index (BMI) and food habits. SUBJECTS AND METHODS: In a cross-sectional study, 32 randomly selected participants (16 males and 16 females) were enrolled in a survey covering their sociodemographic information, medical history, lifestyle, and dietary practices. The information on diet, health condition, food and drink intake habits were examined under four distinct BMI categories: normal, underweight, overweight, and obese. The participants’ serum samples were analyzed for the various GFs using a human magnetic 30-plex panel multiplex assay. Bioinformatics analysis was performed to investigate which bacterial taxa are enriched and to predict the functional profiles of the samples. RESULTS: Correlational studies revealed sexbased differences between GFs and microbiota. Females exhibited a significant correlation between epidermal GF (EGF) and Proteobacteria, whereas males showed a significant correlation between fibroblast GF-basic and Actinobacteria. Interestingly, a combined analysis of both sexes showed a significant correlation between EGF and vascular endothelial GF with Firmicutes. The data in the underweight group revealed a correlation between granulocyte colony-stimulating factor (G-CSF) and hepatocyte GF with Firmicutes. In the obese group, a correlation was found between G-CSF and Actinobacteria. CONCLUSIONS: Our results identified links between GFs, microbiota, and BMI in a Saudi cohort. The insights from this preliminary study will contribute to the predictive diagnosis of obesity. However, further research involving a larger cohort will be necessary to understand the mechanistic aspects of these GFs to provide biomarkers of potential obesity. [ABSTRACT FROM AUTHOR]