Evidence map›Paper›PMID 42804693›Full record

ArticleJAMA network open2026

Wastewater-Based Surveillance of Human Papillomavirus Genotype Diversity.

Pauline Michon, Nicolas Cluzel, Yvon Maday, Jean-Luc Prétet, Sabrina Guérin, Rose Lecat, Thomas Thiébault, Vincent Maréchal

Abstract read
In one paragraph

Article in JAMA network open, 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
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0citing papers in PubMed
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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.

Pauline MichonSorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), UMR S 938, Paris, France.
Nicolas CluzelSorbonne Université, Maison des Modélisations Ingénieries et Technologies (SUMMIT), Paris, France.
Yvon MadaySorbonne Université, CNRS, Université Paris Cité, Laboratoire Jacques-Louis Lions (LJLL), Paris, France.
Jean-Luc PrétetUniversité Marie et Louis Pasteur, CNRS, Chrono-environnement (UMR 6249), Besançon, France.
Sabrina GuérinGreater Paris Sanitation Authority (SIAAP), Innovation Department, Colombes, France.
Rose LecatSorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), UMR S 938, Paris, France.
Thomas ThiébaultEPHE, PSL University, UMR 7619, METIS, Sorbonne Université, CNRS, Paris, France.
Vincent MaréchalSorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), UMR S 938, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Human papillomaviruses (HPVs) account for more than 30% of infection-related cancers worldwide. Surveillance of circulating HPV genotypes at the population level remains limited because clinical monitoring primarily relies on cervical screening and does not capture infections in men or individuals outside screening programs. Objective: To assess whether wastewater-based epidemiology can monitor the diversity and temporal circulation of HPV genotypes at the population level. Design, Setting, and Participants: This is a cross-sectional study of raw wastewater collected twice weekly from January 24, 2024, to January 29, 2025, at a large wastewater treatment plant serving approximately 1 million population equivalents in the Paris, France, metropolitan area. Exposure: Population-level shedding of HPV DNA into wastewater. Main Outcomes and Measures: The primary outcomes were detection frequency, diversity, and temporal patterns of HPV genotypes in wastewater. HPVs of the genus Alphapapillomavirus were quantified using a broad-spectrum quantitative polymerase chain reaction assay and normalized using human-associated excretion markers (crAssphage and mitochondrial DNA). Twenty-eight HPV genotypes were screened using a multiplex polymerase chain reaction assay. Detection reproducibility was evaluated with McNemar tests (mid-P method); quantification reproducibility was evaluated using Wilcoxon signed-rank tests for censored data. Results: HPVs were detected in all 100 wastewater samples analyzed, with a mean concentration of 7.3 × 103 genome equivalents/L (range, 7.3 × 101 to 3.0 × 105 genome equivalents/L), showing moderate temporal variability over the study period. Twenty-seven HPV genotypes were identified, with a median of 6 genotypes per sample (range, 1-12). The most frequently detected genotypes were HPV-66 (97%; 95% CI, 93%-100%), HPV-6 (93%; 95% CI, 88%-97%), and HPV-53 (89%; 95% CI, 83%-95%). High-risk HPV-39 and HPV-56, which are not covered by current vaccines, were detected in 72% (95% CI, 63%-81%) and 58% (95% CI, 48%-68%) of samples, respectively, vs 21% (95% CI, 13%-29%) for HPV-16 and 5% (95% CI, 1%-10%) for HPV-18, both of which are vaccine targeted. Temporal modeling showed relatively stable viral circulation over the study period. Conclusions and Relevance: In this cross-sectional study of wastewater collected from a large urban population, wastewater-based epidemiology enabled population-level monitoring of HPV genotype circulation and complemented clinical surveillance by capturing infections across sexes and age groups. These findings suggested that this approach may facilitate evaluation of the effectiveness of HPV vaccination programs and serve as a scalable tool for monitoring HPV genotype diversity within the population.

Indexed as

Human Papillomavirus VirusesPapillomaviridaePapillomavirus InfectionsWastewaterWastewater-Based Epidemiological MonitoringCross-Sectional StudiesDNA, ViralFemaleGenetic VariationGenotypeHumansParisDNA, ViralWastewater

Identifiers

PMID42804693
PMCPMC13595186

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