PDF(Pubmed)
Abstract：
UNASSIGNED: When examining the underlying processes of obesity, evaluation of gut flora and energy homeostasis can be crucial since disruption of the normal gut microbiota community and energy imbalances are significant factors in the development of obesity. Therefore, this study aimed to compare the relative abundance of important obesity modulator gut microbiota (including Firmicutes, Bacteroidetes, Bifidobactrium spp., Lactobacillus spp., Bacteroides fragilis, Faecalibacterium prausnitzii, Akkermansia muciniphila, and Escherichia coli) in fecal samples of normometabilic and hypometabolic overweight/obese individuals.
UNASSIGNED: This matched case-control study conducted on 36 healthy women aged 18-50 years old. An indirect calorimeter and impedance body analyzer were used to assess resting metabolic rate (RMR) and body composition, respectively. Dietary intake and physical activity were assessed using questionnaires. To determine the abundance of the abovementioned gut microbiota, quantitative polymerase chain reaction (qPCR) method was performed. Moreover, ELISA kits were used to assess leptin, ghrelin, and insulin hormones.
UNASSIGNED: The results highlighted higher load of Firmicutes (p = 0.02), F. prausnitzii (p < 0.001), and B. fragilis (p = 0.02) in the normometabolic individuals compared to the hypometabolic ones. Besides, the positive correlation between the abundance of Firmicutes (β = 7.76 × 10-1, p = 0.01), F. prausnitzii (β = 1.29 × 10-5, p = 0.01), and B. fragilis (β = 4.13 × 10-6, p = 0.04) with the RMR have been shown. Whereas the abundance of Bacteroidetes, A. muciniphila, Lactobacillus spp., Bifidobactrium spp., and E. coli showed no significant difference (p > 0.05) and no significant correlation with the RMR except Lactobacillus spp. (β = 1.73 × 10-4, p = 0.01).
UNASSIGNED: It seems that gut microbiota can be a potential target for refining host energy homeostasis and treating obesity and its consequences.
UNASSIGNED: This matched case-control study conducted on 36 healthy women aged 18-50 years old. An indirect calorimeter and impedance body analyzer were used to assess resting metabolic rate (RMR) and body composition, respectively. Dietary intake and physical activity were assessed using questionnaires. To determine the abundance of the abovementioned gut microbiota, quantitative polymerase chain reaction (qPCR) method was performed. Moreover, ELISA kits were used to assess leptin, ghrelin, and insulin hormones.
UNASSIGNED: The results highlighted higher load of Firmicutes (p = 0.02), F. prausnitzii (p < 0.001), and B. fragilis (p = 0.02) in the normometabolic individuals compared to the hypometabolic ones. Besides, the positive correlation between the abundance of Firmicutes (β = 7.76 × 10-1, p = 0.01), F. prausnitzii (β = 1.29 × 10-5, p = 0.01), and B. fragilis (β = 4.13 × 10-6, p = 0.04) with the RMR have been shown. Whereas the abundance of Bacteroidetes, A. muciniphila, Lactobacillus spp., Bifidobactrium spp., and E. coli showed no significant difference (p > 0.05) and no significant correlation with the RMR except Lactobacillus spp. (β = 1.73 × 10-4, p = 0.01).
UNASSIGNED: It seems that gut microbiota can be a potential target for refining host energy homeostasis and treating obesity and its consequences.
摘要：
■在检查肥胖的潜在过程时，肠道菌群和能量稳态的评估可能是至关重要的，因为正常肠道菌群的破坏和能量失衡是肥胖发展的重要因素。因此,这项研究旨在比较重要的肥胖调节剂肠道微生物群的相对丰度(包括Firmicutes，拟杆菌,双歧杆菌属。,乳杆菌属。,脆弱拟杆菌,普氏粪杆菌，Akkermansiamuciniphila,和大肠杆菌）在正常代谢和低代谢超重/肥胖个体的粪便样本中。
■这项匹配的病例对照研究对36名年龄在18-50岁的健康女性进行。间接量热计和阻抗体分析仪用于评估静息代谢率（RMR）和身体成分，分别。使用问卷评估饮食摄入量和身体活动。为了确定上述肠道微生物群的丰度，进行定量聚合酶链反应(qPCR)方法。此外，ELISA试剂盒用于评估瘦素，ghrelin,和胰岛素激素。
■结果突出显示了较高的Firmicutes负载（p=0.02），F.prausnitzii(p<0.001)，与低代谢个体相比，正常代谢个体和脆弱芽孢杆菌（p=0.02）。此外,Firmicutes的丰度之间呈正相关（β=7.76×10-1，p=0.01），F.prausnitzii(β=1.29×10-5，p=0.01)，已经显示了具有RMR的B.fragilis（β=4.13×10-6，p=0.04）。然而丰富的拟杆菌，A.粘液虫，乳杆菌属。,双歧杆菌属。,大肠杆菌除乳酸杆菌外,与RMR无显著差异(p>0.05),与RMR无显著相关性。(β=1.73×10-4,p=0.01)。
■似乎肠道微生物群可以成为改善宿主能量稳态和治疗肥胖及其后果的潜在目标。
■这项匹配的病例对照研究对36名年龄在18-50岁的健康女性进行。间接量热计和阻抗体分析仪用于评估静息代谢率（RMR）和身体成分，分别。使用问卷评估饮食摄入量和身体活动。为了确定上述肠道微生物群的丰度，进行定量聚合酶链反应(qPCR)方法。此外，ELISA试剂盒用于评估瘦素，ghrelin,和胰岛素激素。
■结果突出显示了较高的Firmicutes负载（p=0.02），F.prausnitzii(p<0.001)，与低代谢个体相比，正常代谢个体和脆弱芽孢杆菌（p=0.02）。此外,Firmicutes的丰度之间呈正相关（β=7.76×10-1，p=0.01），F.prausnitzii(β=1.29×10-5，p=0.01)，已经显示了具有RMR的B.fragilis（β=4.13×10-6，p=0.04）。然而丰富的拟杆菌，A.粘液虫，乳杆菌属。,双歧杆菌属。,大肠杆菌除乳酸杆菌外,与RMR无显著差异(p>0.05),与RMR无显著相关性。(β=1.73×10-4,p=0.01)。
■似乎肠道微生物群可以成为改善宿主能量稳态和治疗肥胖及其后果的潜在目标。
