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The Relationship Between Biological Aging with Interdisciplinary Health Indicators: A Scoping Review

Reeves, J. T. H.; Knock, E.; Gilson, Z. M.; Derry, L.; McGhee, M. C.; Taylor-Hood, K.; Ziesel, A.; Jabbari, H.; Newton, L.; Miller, J. A.; Zhang, J.; Rhodes, R.; Mallidou, A.; Paterson, T. S. E.

2024-11-02 geriatric medicine
10.1101/2024.10.31.24316398 medRxiv
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ObjectivesThis review aims to provide a comprehensive examination of biomarkers and interdisciplinary variables related to aging. MethodsThis scoping review included studies which involved adult participants, and which reported on the relationship between any biomarker or biological age with chronological age. ResultsAfter screening, 447 articles met the selection criteria. Results were categorized into 10 distinct categories through an iterative process. ConclusionsThis review contributes information regarding the interdisciplinary influences on the rate of aging. Telomere length was the most commonly examined biomarker, and Horvaths 353-CpG Pan-Tissue clock was the most common clock, with both demonstrating a strong and consistent relationship with chronological age. The interdisciplinary variables demonstrated relationships with biological aging with varying strengths and consistencies.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
GeroScience
○ 109 papers in training set
Top 0.1%
18.8%
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2
The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences
◐ 26 papers in training set
Top 0.1%
13.3%
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3
The Journals of Gerontology: Series A
◐ 29 papers in training set
Top 0.1%
12.1%
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4
Aging
○ 75 papers in training set
Top 0.1%
11.2%
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50% of probability mass above
5
Aging Cell
○ 165 papers in training set
Top 0.6%
5.6%
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6
Journal of the American Geriatrics Society
○ 12 papers in training set
Top 0.1%
4.4%
7
npj Aging
○ 22 papers in training set
Top 0.1%
3.6%
8
Alzheimer's & Dementia
177 papers in training set
Top 1%
2.7%
9
BMC Geriatrics
○ 18 papers in training set
Top 0.2%
2.7%
10
Experimental Gerontology
○ 12 papers in training set
Top 0.1%
2.4%
11
PLOS ONE
● 5266 papers in training set
Top 40%
2.4%
12
Journal of the American Medical Directors Association
○ 13 papers in training set
Top 0.2%
1.7%
13
BMJ Open
● 601 papers in training set
Top 10%
1.4%
14
Scientific Reports
○ 3612 papers in training set
Top 67%
1.1%
15
Frontiers in Medicine
○ 120 papers in training set
Top 3%
1.0%
16
Translational Psychiatry
○ 260 papers in training set
Top 4%
0.9%
17
Nature Aging
○ 60 papers in training set
Top 2%
0.9%
18
Sleep
◐ 58 papers in training set
Top 0.7%
0.9%
19
The Journal of Prevention of Alzheimer's Disease
○ 13 papers in training set
Top 0.4%
0.9%
20
Clinical Epigenetics
○ 60 papers in training set
Top 0.7%
0.6%
21
Neurology
○ 50 papers in training set
Top 2%
0.6%
22
Neurobiology of Aging
○ 107 papers in training set
Top 2%
0.6%
23
Alzheimer's Research & Therapy
○ 57 papers in training set
Top 1%
0.6%
24
American Journal of Epidemiology
◐ 67 papers in training set
Top 1%
0.6%
25
The American Journal of Clinical Nutrition
○ 19 papers in training set
Top 0.3%
0.6%
26
Frontiers in Physiology
○ 106 papers in training set
Top 3%
0.6%
27
The Lancet Healthy Longevity
○ 11 papers in training set
Top 0.2%
0.6%
28
Current Developments in Nutrition
○ 15 papers in training set
Top 0.7%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.