Evidence map›Paper›PMID 42277004›Full record

ArticleNature communications2026

Statewide multi-year wastewater sequencing reveals dual origins of HIV-1 signal.

Justin R Clark, Dylan Chirman, Harihara Prakash, Austen Terwilliger, Marlene McNeese, Matt Ross, Mike Tisza, Sara J Javornik Cregeen, Loren Hopkins, Jennifer Deegan and 10 more

Abstract read
In one paragraph

Article in Nature communications, 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

20 authors.

Justin R ClarkDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-1590-6828
Dylan ChirmanDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Harihara PrakashDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Austen TerwilligerDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Marlene McNeeseHouston Health Department, Houston, TX, USA.
Matt RossDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-7621-8829
Mike TiszaDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0003-1168-1617
Sara J Javornik CregeenDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.
Loren HopkinsHouston Health Department, Houston, TX, USA.ORCID http://orcid.org/0000-0003-0626-9775
Jennifer DeeganThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.
Catherine L TroisiThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.ORCID http://orcid.org/0000-0002-9900-1542
Eric BoerwinkleThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.
Kristina MenaThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.
Fuqing WuThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, TX, USA.ORCID http://orcid.org/0000-0002-2820-3550
Jason T KimataDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA.ORCID http://orcid.org/0000-0002-0504-0090
Marc JohnsonDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.
Devon GregoryDepartment of Molecular Microbiology and Immunology, University of Missouri-School of Medicine, Columbia, MO, USA.
Faith E FletcherCenter for Medical Ethics & Health Policy, Baylor College of Medicine, Houston, TX, USA.
Thomas P GiordanoDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA. tpg@bcm.edu.ORCID http://orcid.org/0000-0002-9346-5530
Anthony W MaressoDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA. maresso@bcm.edu.ORCID http://orcid.org/0000-0002-4452-3490

Funding

Texas Developmental Center for AIDS ResearchP30AI161943 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI RICE, ANDREW P · 2021 to 2025
$8.3M
Wastewater Sampling: A New Tool to Accelerate Ending the HIV EpidemicR01DA059394 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI Thomas P Giordano · 2023 to 2026
$3.1M
NIAID NIH HHS P30 AI161943NIDA NIH HHS R01 DA059394U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) P30AI161943U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) U19AI14429U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse (NIDA) R01DA059394
6 · The paper itself

Abstract

Human immunodeficiency virus 1 (HIV-1) is a retrovirus which has infected 90 million people and resulted in over 40 million deaths. Despite advances in diagnostics, treatment, and prophylaxis, HIV-1 continues to spread due to undiagnosed and untreated infections. Traditional monitoring methods are ineffective when access to testing is limited or people do not seek care, particularly given the long period between infection and symptom onset, allowing undetected transmission to continue. Here, we use a hybrid-capture sequencing approach to track HIV-1 signal in municipal wastewater in 15 different cities over nearly 3 years. We obtain near-complete genomic coverage of HIV-1, enabling detailed genomic analysis. Surprisingly, there are a substantial number of research-associated retroviral vector sequences recovered. Using computational competitive mapping, we identify specific genomic regions that differentiate authentic HIV-1 from vector-derived inputs. In an exploratory analysis of sites with available clinical data, wastewater-derived circulating HIV-1 reads show a positive correlation with community-level HIV diagnosed prevalence that was robust to exclusion of individual high-prevalence sites. This study identifies lentiviral vector contamination as a confounding factor in wastewater HIV-1 detection, recovers authentic circulating HIV-1 signal through an original classification framework, and provides initial evidence that the resulting signal tracks community HIV burden.

Indexed as

HIV-1HIV InfectionsWastewaterGenome, ViralHumansWastewater

Identifiers

PMID42277004
PMCPMC13408598

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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.