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促肾上腺皮质激素诱导抑郁大鼠模型的代谢组学特征和微生物群落分析。

Metabolomic signatures and microbial community profiling of depressive rat model induced by adrenocorticotrophic hormone.

机构信息

Center for Chinese Medicine Therapy and Systems Biology, Institute for Interdisciplinary Medicine Sciences, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong District, Shanghai, 201203, China.

Experiment Center of Teaching & Learning, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.

出版信息

J Transl Med. 2019 Jul 15;17(1):224. doi: 10.1186/s12967-019-1970-8.

Abstract

BACKGROUND

Adrenocorticotrophic hormone (ACTH)-treatment rat model has been utilized as a widely accepted model of treatment-resistant depression. Metabolomic signatures represent the pathophysiological phenotype of diseases. Recent studies in gut microbiota and metabolomics analysis revealed the dramatic role of microbiome in psychoneurological system diseases, but still, the mechanisms underlying gut microbiome-host interaction remain unclear.

METHODS

Male Wistar rats were s.c. injection of ACTH fragment 1-24 for 14 days to induce treatment-resistant depression. Depression-related behavioral tests, analysis of serum monoamine neurotransmitters and hypothalamic-pituitary-adrenal (HPA) axis-related hormones were determined for assessment of ACTH-induced depression rat model. A gas chromatography-time-of-flight mass spectrometer based urinary metabolomic signatures integrated 16S rRNA sequence analysis based gut microbial profiling was performed, as well as Spearman's correlation coefficient analysis was used to manifest the covariation between the differential urinary metabolites and gut microbiota of genus level.

RESULTS

Chronic injection of ACTH-induced depression-like phenotype (increased immobility time in forced swimming test and tail suspension test) was accompanied by peripheral serotonin down-regulation and HPA axis overactivation (ACTH and corticosterone up-regulation). Urinary metabolomics analysis indicated that pyruvic acid, L-threonine, mannitol, D-gluconic acid, 4-hydroxybenzoic acid, D-arabitol, myo-inositol and ascorbic acid levels were reduced in ACTH-treated rats' urine, while hippurate level was elevated. In addition, microbial community profiling revealed bacterial enrichment (e.g. Ruminococcus, Klebsiella) and reduction (e.g. Akkermansia, Lactobacillus) in the ACTH-induced depression rat model. Correlation analysis showed that Akkermansia and Lactobacillus were closely relevant to metabolites myo-inositol and hippurate, which were included in host inositol phosphate metabolism, and phenylalanine, tyrosine and tryptophan biosynthesis.

CONCLUSIONS

Depression rat model induced by ACTH is associated with disturbance of pyruvate metabolism, ascorbate and aldarate metabolism, inositol phosphate metabolism, glycine, serine and threonine metabolism, and glycolysis or gluconeogenesis, as well as changes in microbial community structure. Gut microbiota may participate in the mediation of systemic metabolomic changes in ACTH-induced depression model. Therefore, integrated metabolomic signatures and gut microbial community profiling would provide a basis for further studies on the pathogenesis of depression.

摘要

背景

促肾上腺皮质激素(ACTH)-治疗大鼠模型已被广泛用于治疗抵抗性抑郁症。代谢组学特征代表疾病的病理生理表型。最近的肠道微生物组和代谢组学分析研究揭示了微生物组在神经精神系统疾病中的巨大作用,但肠道微生物组与宿主相互作用的机制仍不清楚。

方法

雄性 Wistar 大鼠通过皮下注射 ACTH 片段 1-24 14 天诱导治疗抵抗性抑郁症。通过抑郁相关行为测试、血清单胺神经递质分析和下丘脑-垂体-肾上腺(HPA)轴相关激素分析,评估 ACTH 诱导的抑郁大鼠模型。采用气相色谱-飞行时间质谱联用 16S rRNA 序列分析进行尿液代谢组学特征分析,以及 Spearman 相关系数分析,以显示差异代谢物与属水平肠道微生物组的变化。

结果

慢性注射 ACTH 诱导出抑郁样表型(强迫游泳试验和悬尾试验中不动时间增加),同时伴有外周 5-羟色胺下调和 HPA 轴过度激活(ACTH 和皮质酮上调)。尿代谢组学分析表明,ACTH 处理大鼠尿液中丙酮酸、L-苏氨酸、甘露醇、D-葡萄糖酸、对羟基苯甲酸、D-阿拉伯糖醇、肌醇和抗坏血酸水平降低,而马尿酸水平升高。此外,微生物群落分析显示,在 ACTH 诱导的抑郁大鼠模型中,细菌丰度增加(如 Ruminococcus、Klebsiella)和减少(如 Akkermansia、Lactobacillus)。相关性分析表明,Akkermansia 和 Lactobacillus 与代谢物肌醇和马尿酸密切相关,后者参与宿主肌醇磷酸代谢以及苯丙氨酸、酪氨酸和色氨酸的生物合成。

结论

ACTH 诱导的抑郁大鼠模型与丙酮酸代谢、抗坏血酸和醛酸代谢、肌醇磷酸代谢、甘氨酸、丝氨酸和苏氨酸代谢以及糖酵解或糖异生紊乱以及微生物群落结构变化有关。肠道微生物群可能参与调节 ACTH 诱导的抑郁模型中的全身代谢组变化。因此,整合代谢组学特征和肠道微生物群落分析将为进一步研究抑郁症的发病机制提供依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa52/6631535/aa66579b8d9b/12967_2019_1970_Fig1_HTML.jpg

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