Impact of Intermittent Fasting on the Gut Microbiota: A Systematic Review.
Theodoro Pérez-GerdelMilena CamargoMateo AlvaradoJuan David RamírezPublished in: Advanced biology (2023)
Obesity often results in severe negative health consequences and represents a growing issue for global health. Reducing food intake is a crucial factor for weight loss. Intermittent fasting is a relatively new intervention that contributes to weight reduction. Considering the intimate relationship between obesity and inflammatory pathologies with gut microbiota alterations, a systematic review of the literature was herein conducted to elucidate the relationship between time-restricted food intake and gut microbiota diversity in humans. Searches are carried out in three databases (PubMed, MedLine/OVID, and Academic Search Complete) between April 2019 and April 2022. Nine studies (all with longitudinal design) were identified as eligible by presenting data about the impact of intermittent fasting schemes on gut microbiota. At the phylum level, Firmicutes and Bacteroidetes increase throughout follow-ups, while 16 bacteria genera change their abundance in response to intermittent fasting. Finally, some genera associated with clinical predictors such as weight change, abdominal circumference, and metabolic variables were reported. Changes induced by fasting schemes positively impact the diversity and abundance of gut microbiota and the biomarkers described here. However, the changes previously reported have been studied in short periods and some return to their basal state after fasting intervention.
Keyphrases
- weight loss
- insulin resistance
- blood glucose
- bariatric surgery
- metabolic syndrome
- global health
- body mass index
- weight gain
- high intensity
- randomized controlled trial
- roux en y gastric bypass
- adipose tissue
- glycemic control
- type diabetes
- public health
- high fat diet induced
- healthcare
- skeletal muscle
- physical activity
- gastric bypass
- oxidative stress
- electronic health record
- antibiotic resistance genes
- big data
- machine learning
- case report
- cross sectional
- health information
- data analysis