Almazrouei Balqees, Mousa Mira, Barreiros Andre, Al Dain Marzouka Nour, Olbrich Michael, Ramachandran Sanjay, Sreedharan Sreejisha P, Azzam Sarah K, El Hajj Chehadeh Sarah, Rodriguez John, Pantoja Juan P, Raza Javed, Del Gobbo Gabriel Diaz, Abdallah Mohammed, Barajas-Gamboa Juan S, Ashraf Syed Salman, Abril Carlos, Al Bataineh Mohammad, Al Safar Habiba
Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Sci Rep. 2025 Aug 9;15(1):29215. doi: 10.1038/s41598-025-14577-w.
Bariatric surgery is a promising intervention for managing obesity-related metabolic disorders; however, its effects on cardiovascular disease (CVD) in individuals with type 2 diabetes (T2D) remain poorly understood. To address this gap, we utilized a multi-omics approach to investigate how bariatric surgery influences Emirati individuals with T2D and prediabetes, focusing on the early detection of CVD markers. We longitudinally profiled 19 patients over a 9-month period, collecting omics data, including whole-genome sequencing (WGS), protein immunoassays, untargeted metabolomics, and 16S rRNA sequencing to determine gut microbiome composition. Through this study, we showed that bariatric surgery reduced CVD risk and inflammatory biomarkers while inducing changes in the gut microbiome and metabolomic profiles. We identified four inflammatory biomarkers (FGF-basic, TNFSF13, IL-8, and IL-1Ra) that were significantly altered following surgery (p < 0.05). Additionally, we identified 98 metabolites that showed significant changes after surgery that are involved in folate biosynthesis, glycerophospholipid, and retinol metabolism. Eighteen microbial genera were found to differentiate between the pre- and post-surgery states. Our analysis revealed four microbial genera (Enterobacter, Enterococcus, Gemella, and Erysipelotrichaceae UCG-003) associated with two T2D SNPs (rs11830243 and rs6978118) and three CVD SNPs (rs9490306, 62207434, and rs34606058). These genera formed the network's central hub, connecting host genetic variants, metabolic pathways, and clinical data, highlighting their role in host-microbiome interactions. The study quantifies the impact of phenotypic factors on CVD progression among UAE nationals, contributing to a deeper understanding of cardiometabolic health within this population.
减重手术是治疗肥胖相关代谢紊乱的一种有前景的干预措施；然而，其对2型糖尿病（T2D）患者心血管疾病（CVD）的影响仍知之甚少。为了填补这一空白，我们采用了多组学方法来研究减重手术如何影响患有T2D和糖尿病前期的阿联酋人，重点是早期检测CVD标志物。我们在9个月的时间里对19名患者进行了纵向分析，收集了组学数据，包括全基因组测序（WGS）、蛋白质免疫测定、非靶向代谢组学和16S rRNA测序，以确定肠道微生物群组成。通过这项研究，我们发现减重手术降低了CVD风险和炎症生物标志物，同时诱导了肠道微生物群和代谢组学谱的变化。我们确定了四种炎症生物标志物（碱性成纤维细胞生长因子、肿瘤坏死因子配体超家族成员13、白细胞介素-8和白细胞介素-1受体拮抗剂），这些标志物在手术后发生了显著变化（p < 0.05）。此外，我们还确定了98种代谢物，这些代谢物在手术后发生了显著变化，涉及叶酸生物合成、甘油磷脂和视黄醇代谢。发现有18个微生物属在手术前后状态之间存在差异。我们的分析揭示了四个微生物属（肠杆菌属、肠球菌属、孪生球菌属和丹毒丝菌科UCG-003）与两个T2D单核苷酸多态性（SNP）（rs11830243和rs6978118）以及三个CVD SNP（rs9490306、62207434和rs34606058）相关。这些属构成了网络的中心枢纽，连接宿主基因变异、代谢途径和临床数据，突出了它们在宿主-微生物群相互作用中的作用。该研究量化了表型因素对阿联酋国民CVD进展的影响，有助于更深入地了解该人群的心脏代谢健康。
