Evidence map›Paper›PMID 41888506›Full record

ReviewCurrent HIV/AIDS reports2026

The Implications of HIV-1 Subtypes on Pathogenesis, Reservoirs and Cure Strategies.

Kavidha Reddy, Nicole Reddy, Thumbi Ndung'u

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current HIV/AIDS reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Kavidha ReddyAfrica Health Research Institute, KwaZulu-Natal, South Africa. kavidha.reddy@ahri.org.
Nicole ReddyAfrica Health Research Institute, KwaZulu-Natal, South Africa.
Thumbi Ndung'uAfrica Health Research Institute, KwaZulu-Natal, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe HIV-1 pandemic is characterized by extensive viral genetic diversity, with strains that can be classified into distinct clades or subtypes based on sequence relatedness. Biological differences between subtypes have also been reported. HIV-1 subtype B, predominant in North America and Europe is most studied, but non-B subtypes represent the majority of infections globally and in sub-Saharan Africa, which accounts for more than two-thirds of people living with HIV. Whereas the implications of genetic and biological diversity overall for HIV prevention, treatment and cure strategies are recognized, the impact of clade differences is contested. Here we review how viral and host diversity, including subtype-specific differences may shape HIV pathogenesis, reservoir characteristics and cure strategies, highlighting data from regions where non-B subtypes circulate. RECENT

findingsStudies from African and global cohorts highlight differences in epidemiological spread and disease progression among HIV-1 subtypes that may be attributed to viral genetic sequence variations and resultant distinct properties in viral replication capacity, immune evasion, interferon resistance, co-receptor usage, latency regulation and reservoir biology. HIV-1 diversity has implications for virus biology, transmission and clinical outcomes. Clade-specific differences therefore warrant consideration in the development and design of prevention, treatment and cure strategies, including diagnostic and monitoring assays. Incorporating multi-clade research and regionally relevant cohorts will advance and accelerate efforts toward a universally applicable HIV cure.

Indexed as

HIV-1HIV InfectionsDisease ReservoirsGenetic VariationHumansVirus LatencyVirus ReplicationHIV Cure StrategiesHIV Genetic DiversityHIV PathogenesisHIV Reservoir BiologyHIV SubtypesViral Evolution

Identifiers

PMID41888506

What OpenQuestion holds

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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.