Evidence map›Paper›PMID 37685992›Full record

ArticleInternational journal of molecular sciences2023

From Immunosenescence to Aging Types-Establishing Reference Intervals for Immune Age Biomarkers by Centile Estimation.

Peter Bröde, Maren Claus, Patrick D Gajewski, Stephan Getzmann, Edmund Wascher, Carsten Watzl

2 registry-linked trialsAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT05155397 active not recruitingnot on this map

The Dortmund Vital Study: Impact of Biological and Lifestyle Factors on Cognitive Performace and Work Ability Across the Lifespan. An Interdisciplinary, Cross-sectional and Longitudinal Study

TypeobservationalSponsorTechnical University of DortmundRan2016 to 2037Enrolled627ConditionsAge-related Cognitive Decline
NCT07169721 completednot on this map

CIRCAdian Rhythm of the IMMune Age IndeX (CIRCA-IMMAX) - Influence of Circadian Rhythm on the Determination of an Immune Age Metric

TypeobservationalSponsorLeibniz Research Centre for Working Environment and Human FactorsRan2023 to 2024Enrolled50ConditionsHealthy Subjects, Immune Cells (Mucosal and Systemic)
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. LatentBiomolecules · 2025
    Article
  4. Article
  5. Article
  6. Article
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

6 authors.

Peter BrödeLeibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany.ORCID 0000-0001-8107-704X
Maren ClausLeibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany.ORCID 0000-0001-8732-0645
Patrick D GajewskiLeibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany.ORCID 0000-0001-8240-1702
Stephan GetzmannLeibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany.ORCID 0000-0002-6382-0183
Edmund WascherLeibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany.ORCID 0000-0003-3616-9767
Carsten WatzlLeibniz Research Centre for Working Environment and Human Factors (IfADo), Ardeystraße 67, 44139 Dortmund, Germany.ORCID 0000-0001-5195-0995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunological aging type definition requires establishing reference intervals from the distribution of immunosenescence biomarkers conditional on age. For 1605 individuals (18-97 years), we determined the comprehensive immune age index IMMAX from flow-cytometry-based blood cell sub-populations and identified age-specific centiles by fitting generalized additive models for location, scale, and shape. The centiles were uncorrelated with age and facilitated the categorization of individuals as immunologically slow or fast aging types. Using its 50th percentile as a reference, we rescaled the IMMAX to equivalent years of life (EYOL) and computed the immunological age gap as the difference between EYOL and chronological age. Applied to preliminary baseline and follow-up measurements from 53 participants of the Dortmund Vital Study (Clinical-Trials.gov Identifier: NCT05155397), the averaged changes in the IMMAX and EYOL conformed to the 5-year follow-up period, whereas no significant changes occurred concerning IMMAX centiles and age gap. This suggested that the participants immunologically adapted to aging and kept their relative positions within the cohort. Sex was non-significant. Methodical comparisons indicated that future confirmatory analyses with the completed follow-up examinations could rely on percentile curves estimated by simple linear quantile regression, while the selection of the immunosenescence biomarker will greatly influence the outcome, with IMMAX representing the preferable choice.

Indexed as

ImmunosenescenceAdolescentAdultAgedAged, 80 and overAgingBiomarkersClinical Studies as TopicFemaleFlow CytometryHumansLinear ModelsMaleMiddle AgedYoung AdultBiomarkersbiological agebiomarkerflow cytometryimmunosenescencelongitudinal study

Identifiers

PMID37685992
PMCPMC10487963

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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 Socratic graph.