Gut microbiota varies by opioid use, circulating leptin and oxytocin in African American men with diabetes and high burden of chronic disease.

Gut microbiota varies by opioid use, circulating leptin and oxytocin in African American men with diabetes and high burden of chronic disease.
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DOI:
10.1371/journal.pone.0194171
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发表时间:
2018
期刊:
影响因子:
3.7
通讯作者:
Chlipala G
Chlipala G
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Barengolts E;Green SJ;Eisenberg Y;Akbar A;Reddivari B;Layden BT;Dugas L;Chlipala G

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众所周知,肠道微生物群与 2 型糖尿病 (T2D)、精神疾病和阿片类药物的使用有关。在这项研究中,我们检验了这样的假设:2型糖尿病患者肠道微生物群的变异性与心理代谢健康相关。对芝加哥 VA 医疗中心的非裔美国男性 (AAM)(n = 99)进行了一项横断面研究。主要结果指标包括粪便微生物群生态学(通过 16S rRNA 基因测序)、包括阿片类药物使用在内的精神疾病,以及作为肥胖和心理亲社会行为的代表性激素生物标志物的循环瘦素和催产素。研究对象普遍患有超重/肥胖 (78%)、T2D (50%) 以及共病精神疾病 (65%) 和阿片类药物使用 (45%) 疾病。在微生物群分析中,数据显示阿片类药物、T2D 和二甲双胍与双歧杆菌属和普氏菌属存在相互作用。按阿片类药物、T2D 和二甲双胍分层的双歧杆菌差异分析显示,这些因素之间存在显着的相互作用,表明一个因素的影响会被另一个因素改变(FDR 调整后的 p [q] < 0.01)。此外,配对比较显示,与非使用者相比,未服用二甲双胍的 T2D 参与者中阿片类药物使用者的双歧杆菌显着增加了 6.74 log2 倍 (q = 2.2 x 10−8)。由于二甲双胍未包含在该配对比较中,因此显着的“q”表明阿片类药物的使用与双歧杆菌丰度之间存在关联。双歧杆菌丰度的差异可能是通过阿片类药物作为有机阳离子转运蛋白 1 (OCT1) 抑制剂来解释的。在无 T2D 的亚组中,按较低和较高的瘦素和催产素(除以第 50 个百分位)进行分层分析,结果显示,高瘦素组的 Dialister 低于低瘦素组(p = 0.03)。相反,催产素的情况正好相反,高催产素与低催产素的 Dialister 较高(p = 0.04)。该研究首次证明双歧杆菌和普氏菌丰度受到 T2D、二甲双胍和阿片类药物使用相互作用的影响。此外,在没有 T2D 的受试者中,Dialister 丰度根据循环瘦素和催产素而变化。
The gut microbiota is known to be related to type 2 diabetes (T2D), psychiatric conditions, and opioid use. In this study, we tested the hypothesis that variability in gut microbiota in T2D is associated with psycho-metabolic health. A cross-sectional study was conducted among African American men (AAM) (n = 99) that were outpatients at a Chicago VA Medical Center. The main outcome measures included fecal microbiota ecology (by 16S rRNA gene sequencing), psychiatric disorders including opioid use, and circulating leptin and oxytocin as representative hormone biomarkers for obesity and psychological pro-social behavior. The study subjects had prevalent overweight/obesity (78%), T2D (50%) and co-morbid psychiatric (65%) and opioid use (45%) disorders. In the analysis of microbiota, the data showed interactions of opioids, T2D and metformin with Bifidobacterium and Prevotella genera. The differential analysis of Bifidobacterium stratified by opioids, T2D and metformin, showed significant interactions among these factors indicating that the effect of one factor was changed by the other (FDR-adjusted p [q] < 0.01). In addition, the pair-wise comparison showed that participants with T2D not taking metformin had a significant 6.74 log2 fold increase in Bifidobacterium in opioid users as compared to non-users (q = 2.2 x 10−8). Since metformin was not included in this pair-wise comparison, the significant ‘q’ suggested association of opioid use with Bifidobacterium abundance. The differences in Bifidobacterium abundance could possibly be explained by opioids acting as organic cation transporter 1 (OCT1) inhibitors. Analysis stratified by lower and higher leptin and oxytocin (divided by the 50th percentile) in the subgroup without T2D showed lower Dialister in High-Leptin vs. Low-Leptin (p = 0.03). Contrary, the opposite was shown for oxytocin, higher Dialister in High-Oxytocin vs. Low-Oxytocin (p = 0.04). The study demonstrated for the first time that Bifidobacterium and Prevotella abundance was affected by interactions of T2D, metformin and opioid use. Also, in subjects without T2D Dialister abundance varied according to circulating leptin and oxytocin.
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