Evidence map›Paper›PMID 42374558›Full record

ArticleAIDS research and therapy2026

People with HIV on antiretroviral therapy demonstrate robust humoral response to influenza vaccination.

Preeti Moar, Pauline A Ocaya, Christoffer Granvik, Julia Wigren Byström, Koushikul Islam, Niklas Arnberg, Therese Thunberg, Mattias N E Forsell

Abstract read
In one paragraph

Article in AIDS research and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Preeti MoarDepartment of Clinical Microbiology, Umeå University, Umeå, 90187, Sweden. preeti.moar@umu.se.ORCID 0000-0002-7773-3240
Pauline A OcayaDepartment of Infectious Diseases, Sundsvall Hospital, Sundsvall, Sweden.
Christoffer GranvikDepartment of Clinical Microbiology, Umeå University, Umeå, 90187, Sweden.
Julia Wigren ByströmDepartment of Clinical Microbiology, Umeå University, Umeå, 90187, Sweden.
Koushikul IslamDepartment of Clinical Microbiology, Umeå University, Umeå, 90187, Sweden.
Niklas ArnbergDepartment of Clinical Microbiology, Umeå University, Umeå, 90187, Sweden.
Therese ThunbergDepartment of Clinical Microbiology, Umeå University, Umeå, 90187, Sweden.
Mattias N E ForsellDepartment of Clinical Microbiology, Umeå University, Umeå, 90187, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the magnitude and function of antibody responses to seasonal influenza vaccination in individuals with HIV receiving ART compared with individuals without HIV. In a prospective cohort of 78 adults, influenza strain-specific IgG levels were measured up to one-year post-vaccination. Linear mixed-effects models assessed longitudinal trends. IgG levels peaked at two weeks and declined gradually in both groups. HIV status did not significantly influence antibody magnitude or neutralizing activity, and H1N1 antibody levels correlated with neutralization titers. These findings demonstrate robust, durable, and functional humoral response in well-controlled HIV, supporting the effectiveness of annual influenza vaccination in this population.

Indexed as

Antibodies, ViralHIV InfectionsImmunity, HumoralInfluenza, HumanInfluenza VaccinesAdultAntibodies, NeutralizingFemaleHumansImmunoglobulin GInfluenza A Virus, H1N1 SubtypeMaleMiddle AgedProspective StudiesVaccinationAntibodies, NeutralizingAntibodies, ViralImmunoglobulin GInfluenza VaccinesAntibody responseHumoral immunityImmune restorationSuppressive ARTVaccine immunogenicityVirus neutralization

Identifiers

PMID42374558
PMCPMC13340008

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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.