Evidence map›Paper›PMID 37515123›Full record

ArticleViruses2023

Cluster Analysis Identifies Distinct Patterns of T-Cell and Humoral Immune Responses Evolution Following a Third Dose of SARS-CoV-2 Vaccine in People Living with HIV.

Majdouline El Moussaoui, Salomé Desmecht, Nicolas Lambert, Nathalie Maes, Joachim Braghini, Nicole Marechal, Céline Quintana, Karine Briquet, Stéphanie Gofflot, Françoise Toussaint and 9 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

19 authors at 3 institutions in 1 country.

Majdouline El MoussaouiDepartment of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liège, Belgium.ORCID 0000-0003-2560-5199
Salomé DesmechtLaboratory of Animal Genomics, GIGA-Medical Genomics, GIGA-Institute, University of Liège, 4000 Liège, Belgium.ORCID 0000-0003-4024-1936
Nicolas LambertDepartment of Neurology, University Hospital of Liège, 4000 Liège, Belgium.
Nathalie MaesBiostatistics and Research Method Center (B-STAT), University Hospital of Liège, 4000 Liège, Belgium.ORCID 0000-0003-2552-2422
Joachim BraghiniDepartment of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liège, Belgium.
Nicole MarechalDepartment of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liège, Belgium.
Céline QuintanaDepartment of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liège, Belgium.
Karine BriquetDepartment of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liège, Belgium.
Stéphanie GofflotDepartment of Biothèque Hospitalo-Universitaire de Liège (BHUL), University Hospital of Liège, 4000 Liège, Belgium.
Françoise ToussaintDepartment of Clinical Microbiology, University Hospital of Liège, 4000 Liège, Belgium.
Marie-Pierre HayetteDepartment of Clinical Microbiology, University Hospital of Liège, 4000 Liège, Belgium.ORCID 0000-0002-9025-6493
Pieter VermeerschDepartment of Laboratory Medicine, University Hospital of Leuven, 3000 Leuven, Belgium.
Laurence LutteriDepartment of Clinical Chemistry, University Hospital of Liège, 4000 Liège, Belgium.
Céline GrégoireDepartment of Haematology, University Hospital of Liège, University of Liège, 4000 Liège, Belgium.
Yves BeguinDepartment of Biothèque Hospitalo-Universitaire de Liège (BHUL), University Hospital of Liège, 4000 Liège, Belgium.ORCID 0000-0003-4650-7520
Souad RahmouniLaboratory of Animal Genomics, GIGA-Medical Genomics, GIGA-Institute, University of Liège, 4000 Liège, Belgium.
Michel MoutschenDepartment of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liège, Belgium.
Daniel DesmechtDepartment of Animal Pathology, Fundamental and Applied Research for Animals & Health, University of Liège, 4000 Liège, Belgium.ORCID 0000-0001-9440-0993
Gilles DarcisDepartment of Infectious Diseases and General Internal Medicine, University Hospital of Liège, 4000 Liège, Belgium.ORCID 0000-0001-8192-1351
University of Liège · BECentre Hospitalier Universitaire de Liège · BEKU Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Many vaccines require higher, additional doses or adjuvants to provide adequate protection for people living with HIV (PLWH). Despite their potential risk of severe coronavirus disease 2019, immunological data remain sparse, and a clear consensus for the best booster strategy is lacking. (2) Methods: Using the data obtained from our previous study assessing prospective T-cell and humoral immune responses before and after administration of a third dose of SARS-CoV-2 vaccine, we assessed the correlations between immune parameters reflecting humoral and cellular immune responses. We further aimed at identifying distinct clusters of patients with similar patterns of immune response evolution to determine how these relate to demographic and clinical factors. (3) Results: Among 80 PLWH and 51 healthcare workers (HCWs) enrolled in the study, cluster analysis identified four distinct patterns of evolution characterised by specific immune patterns and clinical factors. We observed that immune responses appeared to be less robust in cluster A, whose individuals were mostly PLWH who had never been infected with SARS-CoV-2. Cluster C, whose individuals showed a particularly drastic increase in markers of humoral immune response following the third dose of vaccine, was mainly composed of female participants who experienced SARS-CoV-2. Regarding the correlation study, although we observed a strong positive correlation between markers mirroring humoral immune response, markers of T-cell response following vaccination correlated only in a lesser extent with markers of humoral immunity. This suggests that neutralising antibody titers alone are not always a reliable reflection of the magnitude of the whole immune response. (4) Conclusions: Our findings show heterogeneity in immune responses among SARS-CoV-2 vaccinated PLWH. Specific subgroups could therefore benefit from distinct immunization strategies. Prior or breakthrough natural infection enhances the activity of vaccines and must be taken into account for informing global vaccine strategies among PLWH, even those with a viro-immunologically controlled infection.

Indexed as

COVID-19HIV InfectionsAntibodies, ViralBreakthrough InfectionsCluster AnalysisCOVID-19 VaccinesFemaleHumansImmunity, HumoralProspective StudiesSARS-CoV-2T-LymphocytesVaccinationAntibodies, ViralCOVID-19 VaccinesantibodiescellularHIVhumoralimmune responseneutralisationOmicronpeople living with HIVSARS-CoV-2 mRNA vaccinethird dose

Identifiers

PMID37515123
PMCPMC10383048
OpenAlexW4382456721

What OpenQuestion holds

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LicenceCC BY
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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.