刘学波团队:膳食纤维缓解肥胖雌鼠的产后抑郁
创作:szx 审核:szx 2020年12月10日
  • 高脂饮食诱导雌鼠的产前肥胖;
  • 高膳食纤维(菊粉)摄入可缓解雌鼠的肥胖并改善糖耐量,同时可改善高脂饮食诱导的雌鼠产后的认知障碍、抑郁及焦虑样行为;
  • 高膳食纤维摄入可上调雌鼠脑中的5羟色胺、去甲肾上腺素及神经营养因子表达,增加海马中的突触后致密区长度及突触后致密蛋白表达,并抑制神经炎症;
  • 高膳食纤维摄入可增强肠道屏障功能、调控肠道菌群组成、增加粪便短链脂肪酸水平;
  • 粪便短链脂肪酸水平升高与行为改善呈正相关。
主编推荐语
szx
产前肥胖可增加产后抑郁的风险。西北农林科技大学的刘学波、刘志刚与团队在Journal of Agricultural and Food Chemistry上发表的一项最新研究,发现摄入膳食纤维(菊粉)可显著改善高脂饮食诱导的雌鼠产后的认知障碍、焦虑及抑郁,并上调神经递质表达、抑制神经炎症、改善肠道屏障功能、调节肠道菌群、增加粪便中的短链脂肪酸水平,而后者与雌鼠行为的改善相关。
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High-Dietary Fiber Intake Alleviates Antenatal Obesity-Induced Postpartum Depression: Roles of Gut Microbiota and Microbial Metabolite Short-chain Fatty Acid Involved

高膳食纤维摄入缓解产前肥胖诱导的产后抑郁:肠道菌群及菌群代谢产物短链脂肪酸的相关角色

10.1021/acs.jafc.0c04290

2020-11-05, Article

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Antenatal obesity increases the risk of postpartum depression. Previous research found that dietary fiber supplementation could alleviate mental behavioral disorders. The present study aims to uncover the effects of high-dietary fiber intake on high-fat diet (HFD)-induced depressive-like behaviors and its underlying mechanism. Female C57BL6/J mice were fed with HFD to establish an antenatal obese model. A high-dietary fiber intake (inulin, 0.037 g/kcal) significantly attenuated cognitive deficits and depressive-like behaviors in the maternal mice after the offspring weaning. High-dietary fiber intake upregulated the expression of 5-hydroxytryptamine (5-HT) and norepinephrine (NE) and suppressed neuroinflammation. Furthermore, high-dietary fiber intake restructured the gut microbiome and elevated the formation of short-chain fatty acids (SCFAs). Correlation analysis indicated that the increase in microbes such as Lactobacillus and S24-7, and SCFAs’ levels were positively correlated with behavioral improvements. In conclusion, high-dietary fiber intake is a promising nutritional intervention strategy to prevent antenatal obesity-induced behavioral disorders via a microbiota–gut–brain axis.

First Authors:
Zhigang Liu

Correspondence Authors:
Xuebo Liu

All Authors:
Zhigang Liu,Ling Li,Shaobo Ma,Jin Ye,Hongbo Zhang,Yitong Li,Ali Tahir Sair,Junru Pan,Xiaoning Liu,Xiang Li,Shikai Yan,Xuebo Liu

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