Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults.

Unique trans-kingdom microbiome structural and functional signatures predict cognitive decline in older adults.
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独特的跨王国微生物组结构和功能特征可以预测老年人的认知能力下降。

DOI:
10.1007/s11357-023-00799-1
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发表时间:
2023-10
期刊:
影响因子:
5.6
通讯作者:
Yadav, Hariom
Yadav, Hariom
中科院分区:
医学1区
文献类型:
--
作者:
Chaudhari, Diptaraj S.;Jain, Shalini;Yata, Vinod K.;Mishra, Sidharth P.;Kumar, Ambuj;Fraser, Amoy;Kociolek, Judyta;Dangiolo, Mariana;Smith, Amanda;Golden, Adam;Masternak, Michal M.;Holland, Peter;Agronin, Marc;White-Williams, Cynthia;Arikawa, Andrea Y.;Labyak, Corinne A.;Yadav, Hariom

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与年龄相关的认知障碍/痴呆的患病率正在增加,由于对衰老神经病理生理的认识不完整,缺乏有效的预防和治疗干预措施。新出现的证据表明,肠道微生物群的异常与年龄相关的认知能力下降有关,并被接受为老年科学假说的支柱之一。然而,肠道微生物组异常在预测老年人认知能力下降风险方面的潜在临床重要性尚不清楚。到目前为止,大多数临床研究使用的是16S rRNA测序,仅用于分析细菌丰度,而缺乏对其他重要微生物王国的了解,如病毒,真菌,古细菌,以及微生物群落的功能分析。利用轻度认知障碍老年人(MCI, n = 23)和认知健康对照组(n = 25)的数据和样本。我们的全基因组宏基因组测序显示,与对照组相比,患有MCI的老年人肠道微生物组的多样性较低,病毒总数明显增加,细菌丰度明显减少。与对照组相比,MCI患者的病毒组、细菌组和微生物代谢特征明显不同。选择的细菌组特征比病毒组特征具有更高的预测认知功能障碍的潜力,而将病毒组和代谢特征与细菌组结合可以提高预测能力。总之,我们的初步研究结果表明,与对照组相比,MCI肠道中的跨王国微生物组特征显着不同,可能有助于预测老年人发生认知能力下降和痴呆的风险。在线版本包含补充材料,可在10.1007/s11357-023-00799-1获得。
The prevalence of age-related cognitive disorders/dementia is increasing, and effective prevention and treatment interventions are lacking due to an incomplete understanding of aging neuropathophysiology. Emerging evidence suggests that abnormalities in gut microbiome are linked with age-related cognitive decline and getting acceptance as one of the pillars of the Geroscience hypothesis. However, the potential clinical importance of gut microbiome abnormalities in predicting the risk of cognitive decline in older adults is unclear. Till now the majority of clinical studies were done using 16S rRNA sequencing which only accounts for analyzing bacterial abundance, while lacking an understanding of other crucial microbial kingdoms, such as viruses, fungi, archaea, and the functional profiling of the microbiome community. Utilizing data and samples of older adults with mild cognitive impairment (MCI; n = 23) and cognitively healthy controls (n = 25). Our whole-genome metagenomic sequencing revealed that the gut of older adults with MCI harbors a less diverse microbiome with a specific increase in total viruses and a decrease in bacterial abundance compared with controls. The virome, bacteriome, and microbial metabolic signatures were significantly distinct in subjects with MCI versus controls. Selected bacteriome signatures show high predictive potential of cognitive dysfunction than virome signatures while combining virome and metabolic signatures with bacteriome boosts the prediction power. Altogether, the results from our pilot study indicate that trans-kingdom microbiome signatures are significantly distinct in MCI gut compared with controls and may have utility for predicting the risk of developing cognitive decline and dementia- debilitating public health problems in older adults. The online version contains supplementary material available at 10.1007/s11357-023-00799-1.
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