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Gut Microbiota Composition Is Related to AD Pathology

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TLDR
Gut microbiota composition was associated with amyloid and p-tau status and it was extended on recent studies that observed associations between SCFA levels and AD CSF biomarkers by showing that lower abundances of SCFA-producing microbes were associated with higher odds of positive amyloids and tau status.

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Roseburia hominis Alleviates Neuroinflammation via Short‐Chain Fatty Acids through Histone Deacetylase Inhibition

TL;DR: Findings suggest that R. hominis provides a potential psychoprobiotic to reduce neuroinflammation by producing propionate and butyrate, which served as HDAC inhibitors.
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Altered Gut Microbiota and Its Clinical Relevance in Mild Cognitive Impairment and Alzheimer’s Disease: Shanghai Aging Study and Shanghai Memory Study

TL;DR: The hypothesis that intestinal microorganisms change in MCI and AD is supported, and the alteration in specific taxa correlated closely with clinical manifestations, indicating the potential role in AD pathogenesis.
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Diet, Gut Microbiome, and Cognitive Decline

TL;DR:
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The Interdependence Between Diet, Microbiome, And Human Body Health - A Systemic Review

- 01 Jan 2022 - 
TL;DR: In this article , the main roles of the intestinal microbiome, its composition, and implications in maintaining the health of the organism are discussed, and it has been shown so far that the intestinal microbial community is itself an organ that has its metabolic activity influencing the entire metabolism of the body host.
References
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Journal ArticleDOI

Clinical diagnosis of Alzheimer's disease : report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

TL;DR: The criteria proposed are intended to serve as a guide for the diagnosis of probable, possible, and definite Alzheimer's disease; these criteria will be revised as more definitive information becomes available.
Proceedings ArticleDOI

XGBoost: A Scalable Tree Boosting System

TL;DR: XGBoost as discussed by the authors proposes a sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning to achieve state-of-the-art results on many machine learning challenges.
Proceedings ArticleDOI

XGBoost: A Scalable Tree Boosting System

TL;DR: This paper proposes a novel sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning and provides insights on cache access patterns, data compression and sharding to build a scalable tree boosting system called XGBoost.
Journal ArticleDOI

Diversity and Evenness: A Unifying Notation and Its Consequences

M. O. Hill
- 01 Mar 1973 - 
TL;DR: Three commonly used measures of diversity, Simpson's index, Shannon's entropy, and the total number of species, are related to Renyi's definition of a generalized entropy, according to which there is a continuum of possible diversity measures.
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