Evidence map›Paper›PMID 39141284›Full record

ArticleGeroScience2025

The RESIST Senior Individuals Cohort: Design, participant characteristics and aims.

Lennart Matthias Roesner, Manoj Kumar Gupta, Verena Kopfnagel, Nienke van Unen, Yvonne Kemmling, Jana-Kristin Heise, Stephanie Castell, Xun Jiang, Lennart Riemann, Stephan Traidl and 10 more

Erratum issuedAbstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Lennart Matthias Roesner *Department of Dermatology and Allergy, Hannover Medical School (MHH), Hannover, Germany. roesner.lennart@mh-hannover.de.ORCID 0000-0001-6651-0458
Manoj Kumar Gupta *Department of Computational Biology of Individualised Medicine, Centre for Individualised Infection Medicine (CiiM), a Joint Venture Between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.
Verena KopfnagelHannover Unified Biobank (HUB), Hannover Medical School (MHH), Hannover, Germany.
Nienke van UnenDepartment of Computational Biology of Individualised Medicine, Centre for Individualised Infection Medicine (CiiM), a Joint Venture Between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.
Yvonne KemmlingDepartment for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Jana-Kristin HeiseDepartment for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Stephanie CastellDepartment for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Xun JiangDepartment of Computational Biology of Individualised Medicine, Centre for Individualised Infection Medicine (CiiM), a Joint Venture Between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.
Lennart RiemannInstitute of Immunology, Hannover Medical School (MHH), Hannover, Germany.
Stephan TraidlDepartment of Dermatology and Allergy, Hannover Medical School (MHH), Hannover, Germany.
Berit LangeDepartment for Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Kurt-Wolfram SühsDepartment of Neurology, Hannover Medical School (MHH), Hannover, Germany.
Thomas IlligHannover Unified Biobank (HUB), Hannover Medical School (MHH), Hannover, Germany.
Till StrowigDepartment of Microbial Immune Regulation, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Yang LiDepartment of Computational Biology of Individualised Medicine, Centre for Individualised Infection Medicine (CiiM), a Joint Venture Between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany.
Reinhold FörsterInstitute of Immunology, Hannover Medical School (MHH), Hannover, Germany.
Jochen HuehnDepartment Experimental Immunology, Helmholtz Centre for Infection Research (HZI), Braunschweig, Germany.
Thomas Friedrich Schulz *Institute of Virology, Hannover Medical School (MHH), Hannover, Germany.
Thomas Werfel *Department of Dermatology and Allergy, Hannover Medical School (MHH), Hannover, Germany.
RESIST SI Cohort Investigators

Funding

Deutsche Forschungsgemeinschaft 390874280
6 · The paper itself

Abstract

The number of older adults worldwide is growing exponentially. However, while living longer, older individuals are more susceptible to both non-infectious and infectious diseases, at least in part due to alterations of the immune system. Here, we report on a prospective cohort study investigating the influence of age on immune responses and susceptibility to infection. The RESIST Senior Individuals (SI) cohort was established as a general population cohort with a focus on the elderly, enrolling an age- and sex-stratified sample of 650 individuals (n = 100 20-39y, n = 550 61-94y, 2019-2023, Hannover, Germany). It includes clinical, demographic, and lifestyle data and also extensive biomaterial sampling. Initial insights indicate that the SI cohort exhibits characteristics of the aging immune system and the associated susceptibility to infection, thereby providing a suitable platform for the decoding of age-related alterations of the immune system and unraveling the molecular mechanisms underlying the impaired immune responsiveness in aging populations by exploring comprehensive, unbiased multi-omics datasets.

Indexed as

AgingAdultAgedAged, 80 and overAge FactorsDisease SusceptibilityFemaleGermanyHumansMaleMiddle AgedProspective StudiesYoung AdultAgingCohortImmunologyImmunosenescenceInfectionInflammaging

Identifiers

PMID39141284
PMCPMC12181556

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.