Microbiota‐microglia connections in age‐related cognition decline

Zhou, Rui; Qian, Shufang; Cho, William C.; Zhou, Jinyun; Jin, Chentao; Yan, Zhiying; Wang, Jing; Zhang, Xiaohui; Xu, Zhoujiao; Tian, Mei; Chan, Lawrence; Zhang, Hong

doi:10.1111/acel.13599

Cited by 35 publications

(31 citation statements)

References 207 publications

(254 reference statements)

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“…Getting aged can bring both cognitive and emotional changes. Previous studies proved that aging-induced gut microbiota compositions were the main causes of cognitive decline ( 2 ), and elderly adults were impressionable to mental disorders, such as depression ( 3 ). Physical and mental illness perturbed elderly adults' routine life and impaired their behaviors and cognitive capabilities.…”

Section: Introductionmentioning

confidence: 99%

Seeking bridge symptoms of anxiety, depression, and sleep disturbance among the elderly during the lockdown of the COVID-19 pandemic—A network approach

Zhang

Tao²,

Hou³

et al. 2022

Front. Psychiatry

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BackgroundBesides physical changes, elderly adults are prone to have mental disorders such as anxiety, depression, and sleep disturbance, and the pandemic of COVID-19 worsened the situation. However, internal relationships and co-occurrence of psychopathologies were scarcely examined. Therefore, in the current study, through network analysis, we inspected relationships among symptoms of depression, anxiety, and sleep disturbance and identified key symptoms that espoused the disease.MethodsWe asked 1,302 elderly adults to fill in Patient Health Questionnaire-2 (depressive symptoms), the Generalized Anxiety Disorder-2 (anxiety symptoms), and the Youth Self-rating Insomnia Scale (sleep disturbance) and then constructed three networks for elderly adults, male elderly, and female elderly. Via network analysis, we accomplished four goals. First, we identified symptom with the highest centrality (i.e., strength) index for each network; then, we found the strongest correlation (i.e., edges) in each network; thirdly, we confirmed specific nodes that could bridge anxiety, depression, and sleep disturbance; the last was to compare networks based on genders. Network stability and accuracy tests were performed.ResultsNetworks of elderly adults, male elderly, and female elderly were stable, accurate, and intelligible. Among all networks, “Nervousness”- “Excessive worry” (GAD-1- GAD-2) had the strongest correlation, and “Nervousness” (GAD-1) had the highest strength and bridge strength value. When we made a comparison between female elderly's and male elderly's networks, except for the significant difference in the mean value of “Difficulty initiating sleep” (YSIS-3), the findings showed that the two networks were similar. Network stability and accuracy proved to be reliable.ConclusionsIn networks of anxiety, depression, and sleep disturbance, anxiety played a conspicuous role in comorbidity, which could be a target for practical intervention and prevention.

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Section: Introductionmentioning

confidence: 99%

Seeking bridge symptoms of anxiety, depression, and sleep disturbance among the elderly during the lockdown of the COVID-19 pandemic—A network approach

Zhang

Tao²,

Hou³

et al. 2022

Front. Psychiatry

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“…The intestinal microflora is very important for maintaining the functional state of microglia, and microglia are key immune cells in the prevention of neurodevelopmental abnormalities and neurodegenerative diseases [ 123 ]. The expression of age-related genes did not increase in aging germ-free mice, indicating that the microflora determines the activation of microglia and plays a key role in regulating the immune response, cytokine production and toll-like receptor (TLR) signals of aged microglia [ 124 ]. The integrity of the blood-brain barrier in the frontal cortex, hippocampus and striatum of rats is affected by the intestinal microflora [ 125 ].…”

Section: Crosstalk Between Brain and Gut Microbiome Have Certain Impa...mentioning

confidence: 99%

Tea Polyphenols as Prospective Natural Attenuators of Brain Aging

Hong

Yu²,

Wang³

et al. 2022

Nutrients

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No organism can avoid the process of aging, which is often accompanied by chronic disease. The process of biological aging is driven by a series of interrelated mechanisms through different signal pathways, including oxidative stress, inflammatory states, autophagy and others. In addition, the intestinal microbiota play a key role in regulating oxidative stress of microglia, maintaining homeostasis of microglia and alleviating age-related diseases. Tea polyphenols can effectively regulate the composition of the intestinal microbiota. In recent years, the potential anti-aging benefits of tea polyphenols have attracted increasing attention because they can inhibit neuroinflammation and prevent degenerative effects in the brain. The interaction between human neurological function and the gut microbiota suggests that intervention with tea polyphenols is a possible way to alleviate brain-aging. Studies have been undertaken into the possible mechanisms underpinning the preventative effect of tea polyphenols on brain-aging mediated by the intestinal microbiota. Tea polyphenols may be regarded as potential neuroprotective substances which can act with high efficiency and low toxicity.

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“…In recent decades, thanks to the improvement in living conditions and the changing of bad habits, people’s life expectancies have increased significantly. As a consequence, by the end of 2050, the number of people over 60 will increase to 22% [ 1 ]. Life expectancy is increasing worldwide and is expected to exceed 80 years by 2040 in most countries [ 2 ].…”

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confidence: 99%

“…Life expectancy is increasing worldwide and is expected to exceed 80 years by 2040 in most countries [ 2 ]. The hallmarks of an aging brain are metabolic and neuroglial dysregulation, impaired activity of the neural network, depletion of stem cells, loss of neuronal cells, and cognitive impairment [ 1 , 3 , 4 ]. These progressive phenomena have cognitive implications in the elderly, which may lead to accelerated neurodegeneration of the brain after stroke and Alzheimer’s disease [ 1 , 3 , 4 ].…”

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confidence: 99%

“…The hallmarks of an aging brain are metabolic and neuroglial dysregulation, impaired activity of the neural network, depletion of stem cells, loss of neuronal cells, and cognitive impairment [ 1 , 3 , 4 ]. These progressive phenomena have cognitive implications in the elderly, which may lead to accelerated neurodegeneration of the brain after stroke and Alzheimer’s disease [ 1 , 3 , 4 ]. Age-related cognitive decline is a risk factor for developing dementia, depriving older people of well-being and shortening their lives [ 3 ].…”

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confidence: 99%

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