Evidence map›Paper›PMID 38962007›Full record

ArticleFrontiers in immunology2024

IL-10 predicts incident neuroinflammatory disease and proviral load dynamics in a large Brazilian cohort of people living with human T-lymphotropic virus type 1.

Tatiane Assone, Soraya Maria Menezes, Fernanda de Toledo Gonçalves, Victor Angelo Folgosi, Marcos Braz, Jerusa Smid, Michel E Haziot, Rosa M N Marcusso, Flávia E Dahy, Augusto César Penalva de Oliveira and 7 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

17 authors.

Tatiane AssoneLaboratory of Dermatology and Immunodeficiencies, Department of Dermatology, Medical School, University of São Paulo Brazil/Institute of Tropical Medicine of São Paulo, São Paulo, Brazil.
Soraya Maria MenezesLaboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Fernanda de Toledo GonçalvesLaboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Victor Angelo FolgosiLaboratory of Dermatology and Immunodeficiencies, Department of Dermatology, Medical School, University of São Paulo Brazil/Institute of Tropical Medicine of São Paulo, São Paulo, Brazil.
Marcos BrazLaboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Jerusa SmidInstitute of Infectious Diseases "Emilio Ribas" (IIER) de São Paulo, São Paulo, Brazil.
Michel E HaziotInstitute of Infectious Diseases "Emilio Ribas" (IIER) de São Paulo, São Paulo, Brazil.
Rosa M N MarcussoInstitute of Infectious Diseases "Emilio Ribas" (IIER) de São Paulo, São Paulo, Brazil.
Flávia E DahyInstitute of Infectious Diseases "Emilio Ribas" (IIER) de São Paulo, São Paulo, Brazil.
Augusto César Penalva de OliveiraInstitute of Infectious Diseases "Emilio Ribas" (IIER) de São Paulo, São Paulo, Brazil.
Evelien VanderlindenLaboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Sandra ClaesLaboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Dirk DaelemansLaboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Jurgen VercauterenLaboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Dominique ScholsLaboratory of Virology and Chemotherapy, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.
Jorge CassebLaboratory of Dermatology and Immunodeficiencies, Department of Dermatology, Medical School, University of São Paulo Brazil/Institute of Tropical Medicine of São Paulo, São Paulo, Brazil.
Johan Van WeyenberghLaboratory of Clinical and Epidemiological Virology, Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human T-Lymphotropic Virus type-1 (HTLV-1) is a unique retrovirus associated with both leukemogenesis and a specific neuroinflammatory condition known as HTLV-1-Associated Myelopathy (HAM). Currently, most proposed HAM biomarkers require invasive CSF sampling, which is not suitable for large cohorts or repeated prospective screening. To identify non-invasive biomarkers for incident HAM in a large Brazilian cohort of PLwHTLV-1 (n=615 with 6,673 person-years of clinical follow-up), we selected all plasma samples available at the time of entry in the cohort (between 1997-2019), in which up to 43 cytokines/chemokines and immune mediators were measured. Thus, we selected 110 People Living with HTLV-1 (PLwHTLV-1), of which 68 were neurologically asymptomatic (AS) at baseline and 42 HAM patients. Nine incident HAM cases were identified among 68 AS during follow-up. Using multivariate logistic regression, we found that lower IL-10, IL-4 and female sex were independent predictors of clinical progression to definite HAM (AUROC 0.91), and outperformed previously suggested biomarkers age, sex and proviral load (AUROC 0.77). Moreover, baseline IL-10 significantly predicted proviral load dynamics at follow-up in all PLwHTLV-1. In an exploratory analysis, we identified additional plasma biomarkers which were able to discriminate iHAM from either AS (IL6Rα, IL-27) or HAM (IL-29/IFN-λ1, Osteopontin, and TNFR2). In conclusion, female sex and low anti-inflammatory IL-10 and IL-4 are independent risk factors for incident HAM in PLwHTLV-1,while proviral load is not, in agreement with IL-10 being upstream of proviral load dynamics. Additional candidate biomarkers IL-29/IL-6R/TNFR2 represent plausible therapeutic targets for future clinical trials in HAM patients.

Indexed as

BiomarkersHuman T-lymphotropic virus 1Interleukin-10Viral LoadAdultBrazilCohort StudiesFemaleHTLV-I InfectionsHumansIncidenceMaleMiddle AgedParaparesis, Tropical SpasticProvirusesBiomarkersIL10 protein, humanInterleukin-10biomarkerscytokinesHAM incidenceHTLV-1inflammation

Identifiers

PMID38962007
PMCPMC11219816

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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.