Evidence map›Paper›PMID 39718532›Full record

ArticleSexually transmitted diseases2025

Lymphogranuloma Venereum Detection in Chlamydia trachomatis Positive Self-Collected Mail-in Male Rectal Samples in Maryland, United States.

Justin Hardick, Madison Conte, Mattlyn Young, Nisha Ramdeep, Yukari C Manabe, Matthew M Hamill

Abstract read
In one paragraph

Article in Sexually transmitted diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Justin HardickFrom the Division of Infectious Diseases, Johns Hopkins University, Baltimore, MD.
Madison Conte
Mattlyn Young
Nisha Ramdeep
Yukari C Manabe
Matthew M Hamill

Funding

LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
TrainingU54EB007958 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Susan Anne Tuddenham · 2007 to 2026
$34.6M
NIAID NIH HHS P30 AI094189NIAID NIH HHS UM1 AI068613NIBIB NIH HHS U54 EB007958
6 · The paper itself

Abstract

backgroundInfection with Chlamydia trachomatis (CT) can have distinct clinical presentations, such as trachoma, or lymphogranuloma venereum (LGV). Certain populations are at greater risk for LGV acquisition and transmission, which may require a longer duration of therapy than other urogenital CT sexually transmitted infections (STIs). Commercial assays are not available in the United States to distinguish LGV from non-LGV genovars.

methodsLymphogranuloma venereum real-time polymerase chain reaction was performed on rectal CT-positive samples (N = 93) obtained from men (N = 80) who ordered from a mail-in self-collection STI service between April 2021 and February 2024. pmpH gene sequencing was performed on all samples to confirm LGV versus non-LGV, and multilocus sequence typing was performed on LGV-positive samples (n = 7) for additional confirmation.

resultsLymphogranuloma venereum was detected in 7.5% (7 of 93) of samples by real-time polymerase chain reaction, with pmpH sequencing and multilocus sequence typing confirming 100% (7 of 7) of these results. Overall, pmpH sequencing data were obtained for 92% (86 of 93) of samples with the following genovar distribution based on BLAST analysis: 54% (47 of 86) J, 28% (24 of 86) F, 9% (8 of 86) E, and 8% (7 of 86) L. No individual had more than 1 LGV-positive sample. No statistically significant associations with demographic factors were identified.

conclusionsLymphogranuloma venereum was detected in CT-positive rectal swabs from users of an online, mail-in, self-collect STI testing platform in Maryland. These data suggest that increased LGV reflexive testing may be warranted to better understand the cotemporary epidemiology of LGV. These data also illustrate that mail-in programs for routine STI testing may be leveraged for public health surveillance purposes.

Indexed as

Chlamydia trachomatisLymphogranuloma VenereumRectumAdultBacterial Outer Membrane ProteinsChlamydia InfectionsHumansMaleMarylandMiddle AgedMultilocus Sequence TypingPostal ServiceReal-Time Polymerase Chain ReactionSpecimen HandlingYoung AdultBacterial Outer Membrane ProteinsPmpH protein, Chlamydia trachomatis

Identifiers

PMID39718532
PMCPMC12064401

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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.