Evidence map›Paper›PMID 34608862›Full record

ArticleeLife2021

HIV status alters disease severity and immune cell responses in Beta variant SARS-CoV-2 infection wave.

Farina Karim, Inbal Gazy, Sandile Cele, Yenzekile Zungu, Robert Krause, Mallory Bernstein, Khadija Khan, Yashica Ganga, Hylton Rodel, Ntombifuthi Mthabela and 15 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 8% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

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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

25 authors at 10 institutions in 6 countries.

Farina KarimAfrica Health Research Institute, Durban, South Africa.ORCID 0000-0001-9698-016X
Inbal GazySchool of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.
Sandile CeleAfrica Health Research Institute, Durban, South Africa.
Yenzekile ZunguAfrica Health Research Institute, Durban, South Africa.
Robert KrauseAfrica Health Research Institute, Durban, South Africa.ORCID 0000-0003-1558-0397
Mallory BernsteinAfrica Health Research Institute, Durban, South Africa.
Khadija KhanAfrica Health Research Institute, Durban, South Africa.
Yashica GangaAfrica Health Research Institute, Durban, South Africa.
Hylton RodelAfrica Health Research Institute, Durban, South Africa.
Ntombifuthi MthabelaAfrica Health Research Institute, Durban, South Africa.
Matilda MazibukoAfrica Health Research Institute, Durban, South Africa.
Daniel MuemaAfrica Health Research Institute, Durban, South Africa.
Dirhona RamjitAfrica Health Research Institute, Durban, South Africa.
Thumbi Ndung'uAfrica Health Research Institute, Durban, South Africa.ORCID 0000-0003-2962-3992
Willem HanekomAfrica Health Research Institute, Durban, South Africa.
Bernadett GosnellDepartment of Infectious Diseases, Nelson R. Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa.
COMMIT-KZN Team
Richard J LessellsSchool of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.ORCID 0000-0003-0926-710X
Emily B WongAfrica Health Research Institute, Durban, South Africa.
Tulio de OliveiraSchool of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa.
Mahomed-Yunus S MoosaDepartment of Infectious Diseases, Nelson R. Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa.
Gil LustigCentre for the AIDS Programme of Research in South Africa, Durban, South Africa.
Alasdair LeslieAfrica Health Research Institute, Durban, South Africa.
Henrik KløverprisAfrica Health Research Institute, Durban, South Africa.
Alex SigalAfrica Health Research Institute, Durban, South Africa.ORCID 0000-0001-8571-2004
Africa Health Research Institute · ZACentre for the AIDS Programme of Research in South Africa · ZAUniversity of KwaZulu-Natal · ZALymphatic Education & Research Network · USMax Planck Institute for Infection Biology · DEUniversity of Copenhagen · DKUniversity of Oxford · GBUniversity of Washington · USRagon Institute of MGH, MIT and Harvard · USUniversity of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are conflicting reports on the effects of HIV on COVID-19. Here, we analyzed disease severity and immune cell changes during and after SARS-CoV-2 infection in 236 participants from South Africa, of which 39% were people living with HIV (PLWH), during the first and second (Beta dominated) infection waves. The second wave had more PLWH requiring supplemental oxygen relative to HIV-negative participants. Higher disease severity was associated with low CD4 T cell counts and higher neutrophil to lymphocyte ratios (NLR). Yet, CD4 counts recovered and NLR stabilized after SARS-CoV-2 clearance in wave 2 infected PLWH, arguing for an interaction between SARS-CoV-2 and HIV infection leading to low CD4 and high NLR. The first infection wave, where severity in HIV negative and PLWH was similar, still showed some HIV modulation of SARS-CoV-2 immune responses. Therefore, HIV infection can synergize with the SARS-CoV-2 variant to change COVID-19 outcomes.

Indexed as

Immunity, CellularSeverity of Illness IndexAdultAgedCD4 Lymphocyte CountCOVID-19FemaleHIV InfectionsHumansMaleMiddle AgedSARS-CoV-2South Africaantiretroviral therapybeta variantCOVID-19HIVinfectious diseasemicrobiologySARS-CoV-2virus

Identifiers

PMID34608862
PMCPMC8676326
OpenAlexW3204024700

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.