Evidence map›Paper›PMID 39143319›Full record

ArticleNature aging2024

Proteomics identifies potential immunological drivers of postinfection brain atrophy and cognitive decline.

Michael R Duggan, Zhongsheng Peng, Pyry N Sipilä, Joni V Lindbohm, Jingsha Chen, Yifei Lu, Christos Davatzikos, Guray Erus, Timothy J Hohman, Shea J Andrews and 15 more

Abstract read
In one paragraph

Article in Nature aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Blood-based proteomic signature of amyloidosis: identification of novel regulators of amyloid load.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Social connection and cognitive health: A review of concepts, measures, and research priorities.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Integrative multi-omics approaches identify molecular pathways and improve Alzheimer's disease risk prediction.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Michael R DugganLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-1029-4423
Zhongsheng PengLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Pyry N SipiläClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0003-4886-8151
Joni V LindbohmClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-9820-2692
Jingsha ChenDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Yifei LuDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID http://orcid.org/0000-0001-8907-4898
Christos DavatzikosDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-1025-8561
Guray ErusDepartment of Radiology, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-6633-4861
Timothy J HohmanVanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-3377-7014
Shea J AndrewsDepartment of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA.
Julián CandiaTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-5793-8989
Toshiko TanakaTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Cassandra M JoynesLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Chelsea X AlvaradoCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
Mike A NallsCenter for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD, USA.
Jenifer CordonLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Gulzar N DayaLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-9550-5818
Yang AnLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Alexandria LewisDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Abhay MoghekarDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-9464-1551
Priya PaltaDepartment of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-4598-0669
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-6273-1613
Mika KivimäkiClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0002-4699-5627
Keenan A WalkerLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. keenan.walker@nih.gov.ORCID http://orcid.org/0000-0002-5989-9853

Funding

ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
Genetic characterization of atypical parkinsonismZIANS003154 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI SCHOLZ, SONJA · 2016 to 2025
$15.4M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5M
Machine Learning and Large-scale Imaging analytics for dimensional representations of brain trajectories in aging and preclinical Alzheimer's Disease: The brain aging chart and the iSTAGING consortiumRF1AG054409 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2023
$6.3M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA · 2022 to 2025
$5.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE · 2022 to 2025
$5.0M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7M
Intramural NIH HHS Z01 AG000949Intramural NIH HHS ZIA AG000348Intramural NIH HHS ZIA AG000349Intramural NIH HHS ZIA AG000935Intramural NIH HHS ZIA NS003154NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIA NIH HHS R00 AG052830NIA NIH HHS R00 AG070109NIA NIH HHS R01 AG056477NIA NIH HHS R01 AG059716NIA NIH HHS RF1 AG054409NIDA NIH HHS 75N95020D00014U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1ZIAAG00935U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) 1ZIANS003154U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) Z01-AG000949-02U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) 1ZIAAG000348U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) 1ZIAAG000349U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG056477Wellcome Trust
6 · The paper itself

Abstract

Infections have been associated with the incidence of Alzheimer disease and related dementias, but the mechanisms responsible for these associations remain unclear. Using a multicohort approach, we found that influenza, viral, respiratory, and skin and subcutaneous infections were associated with increased long-term dementia risk. These infections were also associated with region-specific brain volume loss, most commonly in the temporal lobe. We identified 260 out of 942 immunologically relevant proteins in plasma that were differentially expressed in individuals with an infection history. Of the infection-related proteins, 35 predicted volumetric changes in brain regions vulnerable to infection-specific atrophy. Several of these proteins, including PIK3CG, PACSIN2, and PRKCB, were related to cognitive decline and plasma biomarkers of dementia (Aβ

Indexed as

AtrophyBrainCognitive DysfunctionAgedBiomarkersFemaleHumansMiddle AgedProteomicsBiomarkers

Identifiers

PMID39143319
PMCPMC11408246

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.