Effects of dietary gluten on body weight and gut microbiota in BALB-C mice using 16 S rRNA-Based analysis

被引:0
|
作者
Merve Sayın Dülger [1 ]
Nihal Zekiye Erdem [2 ]
Emek Dümen [3 ]
机构
[1] Istanbul Medipol University,Institute of Health Sciences, Department of Nutrition and Dietetic
[2] Istanbul Medipol University,College of Health Sciences, Department of Nutrition and Dietetic
[3] Istanbul University Cerrahpaşa,School of Veterinary Medicine, Department of Food Hygiene& Technology
关键词
Nutrition; Gluten; Microbiota; Body weight; High-fat diet;
D O I
10.1038/s41598-025-92213-3
中图分类号
学科分类号
摘要
Despite the widespread adoption of gluten-free diets for weight management, the relationship between gluten intake and obesity remains unclear because of the limited number of controlled studies available in the literature. Furthermore, there is ongoing debate regarding the impact of gluten-containing diets on the gut microbiota. This study aimed to investigate the effects of gluten consumption on the body weight and intestinal microbiota of mice fed a high-fat diet. Twenty-four Bagg albino laboratory-bred mice (BALB/c) were randomly divided into four groups for oral gavage feeding: standard diet control (SDC), standard diet + 5 mg/day gluten (SD + gluten), high-fat diet control (HFDC), and high-fat diet + 5 mg/day gluten (HFD + gluten). Each subject’s body weight was measured and recorded weekly. For microbiota analysis, fecal samples were collected weekly from the cages after overnight cage changes. The microbiota was analyzed using via the 16 S ribosomal ribonucleic acid (rRNA) method. Compared with the control diet, both gluten consumption and a high fat diet significantly increased weight gain (p < 0.05). No significant difference was observed in the total mesophilic aerobic bacterial count among the groups (p > 0.05). However, the addition of gluten to the diet positively affected Lactobacillus bulgaricus (p < 0.05). Conversely, gluten-containing diets negatively impacted the total coliform bacteria and Escherichia coli counts in the gut (p < 0.05). These findings suggest that gluten, when combined with either a normal diet or a high-fat diet, contributes to weight gain while exerting positive effects on the intestinal microbiota.
引用
下载
收藏
相关论文
共 50 条
  • [21] Comparative analysis of gut microbiota diversity in endangered, economical, and common freshwater mussels using 16S rRNA gene sequencing
    Liu, Xiongjun
    Cao, Yanling
    Ouyang, Shan
    Wu, Xiaoping
    ECOLOGY AND EVOLUTION, 2020, 10 (21): : 12015 - 12023
  • [22] Changes in the gut microbiota of osteoporosis patients based on 16S rRNA gene sequencing: a systematic review and meta-analysis
    Huang, Rui
    Liu, Pan
    Bai, Yiguang
    Huang, Jieqiong
    Pan, Rui
    Li, Huihua
    Su, Yeping
    Zhou, Quan
    Ma, Ruixin
    Zong, Shaohui
    Zeng, Gaofeng
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2022, 23 (12): : 1002 - 1013
  • [23] Comparative analysis of gut microbiota in children with obstructive sleep apnea: assessing the efficacy of 16S rRNA gene sequencing in metabolic function prediction based on weight status
    Chuang, Hai-Hua
    Huang, Chung-Guei
    Chou, Shih-Hsuan
    Li, Hsueh-Yu
    Lee, Chin-Chia
    Lee, Li-Ang
    FRONTIERS IN ENDOCRINOLOGY, 2024, 15
  • [24] Changes in the gut microbiota of patients with sarcopenia based on 16S rRNA gene sequencing: a systematic review and meta-analysis
    Song, Qi
    Zhu, Youkang
    Liu, Xiao
    Liu, Hai
    Zhao, Xinyi
    Xue, Liyun
    Yang, Shaoying
    Wang, Yujia
    Liu, Xifang
    FRONTIERS IN NUTRITION, 2024, 11
  • [25] Phylogenetic analysis of the fecal microbial community in herbivorous land and marine iguanas of the Galapagos Islands using 16S rRNA-based pyrosequencing
    Hong, Pei-Ying
    Wheeler, Emily
    Cann, Isaac K. O.
    Mackie, Roderick I.
    ISME JOURNAL, 2011, 5 (09): : 1461 - 1470
  • [26] Gut microbiota changes in patients with Alzheimer's disease spectrum based on 16S rRNA sequencing: a systematic review and meta-analysis
    Li, Hui
    Cui, Xiaopan
    Lin, Yuxiu
    Huang, Fengqiong
    Tian, Ayong
    Zhang, Rongwei
    FRONTIERS IN AGING NEUROSCIENCE, 2024, 16
  • [27] A COMPARATIVE STUDY BETWEEN GASTRITIS AND GASTRIC ADENOCARCINOMA SPECIMENS USING PYROSEQUENCING ANALYSIS FOR 16S RRNA-BASED IDENTIFICATION OF H. PYLORI
    Han, H.
    Lee, S.
    Lee, K.
    Hwang, T.
    HELICOBACTER, 2011, 16 : 97 - 97
  • [28] Association of gut microbiota composition and function with an aged rat model of senile osteoporosis using 16S rRNA and metagenomic sequencing analysis
    Ma, Sicong
    Qin, Jinhong
    Hao, Yongqiang
    Fu, Lingjie
    AGING-US, 2020, 12 (11): : 10795 - 10808
  • [29] Changes in the gut microbiota of esophageal carcinoma patients based on 16S rRNA gene sequencing: a systematic review and meta-analysis
    Zhang, Li
    Li, Delin
    Zhang, Yongsheng
    Hu, Wenqi
    Lv, Haoyue
    Zhang, Xiaodong
    Zhang, Hongyu
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [30] Comparative Analysis of Gut Microbiota in Two Populations of Argopecten purpuratus (Lamarck, 1819) Based on 16S rRNA Gene Amplicon Data
    Serrano, Wilbert
    Olaechea, Raul M.
    Tarazona, Ulrike, I
    MICROBIOLOGY RESOURCE ANNOUNCEMENTS, 2020, 9 (10):