Association between Gut Microbiota Profiles, Dietary Intake, and Inflammatory Markers in Overweight and Obese Women.
Orada ChansaPrapimporn Chattranukulchai ShantavasinkulWutarak MonsuwanJintana SirivarasaiPublished in: Foods (Basel, Switzerland) (2024)
Being overweight and obesity are significant global public health challenges due to their association with adipose tissue dysfunction, pro-inflammatory marker production, and alterations in gut microbiota composition. To explore the relationship between gut microbiota, dietary factors, and inflammatory markers in overweight or obese women, we conducted a cross-sectional study involving a healthy group ( n = 20) and an overweight or obese group ( n = 75). We collected data, including clinical, anthropometric, and dietary assessments, and carried out a blood biochemical analysis, the measurement of inflammatory biomarkers (hs-CRP, IL-6, and TNF-α), and the 16S rRNA gene sequencing of fecal samples. The gut microbiota analysis revealed notable differences in alpha and beta diversity between the two groups. Moreover, the abundance of gut microbiota in the overweight or obese group correlated positively with adiposity markers, blood pressure, lipid profiles, and inflammatory markers. These findings highlight significant changes in gut microbiota associated with obesity, potentially implicating pathways such as lipopolysaccharide biosynthesis. Understanding the role of the gut microbiome in obesity could reveal specific avenues for intervention.
Keyphrases
- weight loss
- adipose tissue
- insulin resistance
- weight gain
- metabolic syndrome
- bariatric surgery
- public health
- blood pressure
- type diabetes
- physical activity
- polycystic ovary syndrome
- randomized controlled trial
- rheumatoid arthritis
- genome wide
- high fat diet
- immune response
- glycemic control
- body mass index
- obese patients
- high fat diet induced
- fatty acid
- big data
- toll like receptor
- heart rate
- electronic health record
- hypertensive patients
- deep learning
- breast cancer risk
- antibiotic resistance genes