Evidence map›Paper›PMID 29691917›Full record

ArticleInternational journal of methods in psychiatric research2018

An immunological age index in bipolar disorder: A confirmatory factor analysis of putative immunosenescence markers and associations with clinical characteristics.

Lucas B Rizzo, Walter Swardfager, Pawan Kumar Maurya, Maiara Zeni Graiff, Mariana Pedrini, Elson Asevedo, Ana Cláudia Cassinelli, Moisés E Bauer, Quirino Cordeiro, Jan Scott and 2 more

Abstract read
In one paragraph

Article in International journal of methods in psychiatric research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Lifetime adversity exposure, mood symptoms, and immune mitochondrial bioenergetics.medRxiv : the preprint server for health sciences · 2026
    Article
  2. LatentBiomolecules · 2025
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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

12 authors.

Lucas B RizzoInterdisciplinary Laboratory of Clinical Neuroscience (LINC), Federal University of Sao Paulo (Unifesp), Sao Paulo, Brazil.
Walter SwardfagerHurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.ORCID 0000-0002-0030-8908
Pawan Kumar MauryaInterdisciplinary Laboratory of Clinical Neuroscience (LINC), Federal University of Sao Paulo (Unifesp), Sao Paulo, Brazil.ORCID 0000-0003-0971-4600
Maiara Zeni GraiffInterdisciplinary Laboratory of Clinical Neuroscience (LINC), Federal University of Sao Paulo (Unifesp), Sao Paulo, Brazil.
Mariana PedriniInterdisciplinary Laboratory of Clinical Neuroscience (LINC), Federal University of Sao Paulo (Unifesp), Sao Paulo, Brazil.
Elson AsevedoInterdisciplinary Laboratory of Clinical Neuroscience (LINC), Federal University of Sao Paulo (Unifesp), Sao Paulo, Brazil.ORCID 0000-0002-3109-2695
Ana Cláudia CassinelliCentro Interdisciplinar de Neuromodulação Clínica, Faculdade de Ciências Médicas, Santa Casa de São Paulo, Brazil.
Moisés E BauerFaculty of Biosciences, Pontifical Catholic University of Porto Alegre, Porto Alegre, Brazil.
Quirino CordeiroCentro Interdisciplinar de Neuromodulação Clínica, Faculdade de Ciências Médicas, Santa Casa de São Paulo, Brazil.
Jan ScottDepartment of Academic Psychiatry, Wolfson Unit, Institute of Neuroscience, Newcastle University, Newcastle, UK.ORCID 0000-0002-7203-8601
Elisa BrietzkeResearch Group in Molecular and Behavioral Neuroscience in Bipolar Disorder, Federal University of Sao Paulo (Unifesp), São Paulo, Brazil.
Hugo Cogo-MoreiraDepartment of Psychiatry (Psychiatry and Medical Psychology Graduate Program), Federal University of Sao Paulo (Unifesp), São Paulo, Brazil.ORCID 0000-0001-9411-9237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study aims to generate an immunological age (IA) trait on the basis of immune cell differentiation parameters, and to test whether the IA is related to age and disease characteristics.

methodsForty-four euthymic type I bipolar disorder patients were included in this study. Five immunosenescence-related parameters were assessed: proportions of late-differentiated cells (e.g., CD3+CD8+CD28-CD27- and CD3-CD19+IgD-CD27-), and the expression of CD69, CD71, and CD152 after stimulation. Confirmatory factor analysis was applied to generate an IA trait underling the 5 measures.

resultsThe best-fit model was constituted by 4 parameters that were each related to an underlying IA trait, with 1 cell population positively correlated (CD3+CD8+CD28-CD27- [λ = 0.544, where λ represents the loading of the parameter onto the IA trait] and 3 markers negatively correlated (CD69 [λ = -0.488], CD71 [λ = -0.833], and CD152 [λ = -0.674]). The IA trait was associated with chronological age (β = 0.360, p = .013) and the number of previous mood episodes (β = 0.426, p = .006). In a mediation model, 84% of the effect between manic episodes, and IA was mediated by body mass index.

conclusionIn bipolar disorder type I, premature aging of the immune system could be reliably measured using an index that validated against chronological age, which was related to adverse metabolic effects of the disease course.

Indexed as

ImmunosenescenceAdolescentAdultAging, PrematureBiomarkersBipolar DisorderFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedYoung AdultBiomarkersagingbipolarconfirmatory factor analysisneuroimmunology

Identifiers

PMID29691917
PMCPMC6877115

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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.