Evidence map›Paper›PMID 40889880›Full record

ArticleTropical medicine & international health : TM & IH2025

Leprosy in blood donors.

Erika Vanessa Oliveira Jorge, Angélica Rita Gobbo, Izabelle Laissa Viana Costa, Raquel Carvalho Bouth, Sâmela Miranda da Silva, Ana Caroline Cunha Messias, Josafá Gonçalves Barreto, Patrícia Fagundes da Costa, Pablo Diego do Carmo Pinto, Moises Batista da Silva and 3 more

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. UndetectableOne health (Amsterdam, Netherlands) · 2026
    Article
  2. Leprosy in blood donors.Tropical medicine & international health : TM & IH · 2025
    Article
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

13 authors.

Erika Vanessa Oliveira JorgeDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.ORCID https://orcid.org/0000-0002-1287-2469
Angélica Rita GobboDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.
Izabelle Laissa Viana CostaDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.ORCID https://orcid.org/0009-0000-1201-8927
Raquel Carvalho BouthDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.ORCID https://orcid.org/0000-0001-8604-997X
Sâmela Miranda da SilvaDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.
Ana Caroline Cunha MessiasDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.
Josafá Gonçalves BarretoDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.ORCID https://orcid.org/0000-0003-0817-3486
Patrícia Fagundes da CostaDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.
Pablo Diego do Carmo PintoDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.
Moises Batista da SilvaDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.ORCID https://orcid.org/0000-0003-3886-7083
John Stewart SpencerDepartment of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0002-8051-3038
Maurício Koury PalmeiraBlood Bank of Pará State (Centro de Hematologia e Hemoterapia do Estado do Pará, HEMOPA), Belém, Pará, Brazil.
Claudio Guedes SalgadoDermato-Immunology Laboratory, Federal University of Pará, Marituba, Pará, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 313633/2018-5Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 3288/2013Fulbright Association
6 · The paper itself

Abstract

objectivesWe investigated the prevalence of anti-phenolic glycolipid-I (PGL-I) IgM antibodies among temporarily unfit blood donors at the Pará State Blood Bank (HEMOPA), located in the Amazon region of northern Brazil. Using an arbitrary high cutoff for optical density (OD ≥0.750) in ELISA, a subset of donors was invited for clinical evaluation for leprosy.

methodsTemporarily unfit individuals were invited to participate, and blood samples were collected for anti-PGL-I IgM titration by ELISA. Donors with high OD values were referred for clinical examination, slit skin smear (SSS) bacilloscopy, and quantitative PCR (qPCR) targeting M. leprae-specific repetitive element (RLEP) sequences from dermal scrapes of the earlobes and peripheral blood.

resultsFrom an annual average of 2762 temporarily unfit donors (2019-2023), 500 (16.6%) were tested for anti-PGL-I IgM. Of these, 20/500 (4.0%) had high antibody titres, and 8/20 (40.0%) attended clinical evaluation, resulting in 5/8 (62.5%) newly diagnosed cases of leprosy. Among these, Mycobacterium leprae detection yielded positivity rates of 2/8 (25.0%) by SSS bacilloscopy, 3/7 (42.9%) by qPCR of dermal scrapes, and 2/8 (25.0%) by qPCR of peripheral blood.

conclusionsUsing an anti-PGL-I IgM cutoff of OD ≥0.750, we identified a significant proportion of undiagnosed leprosy cases among temporarily unfit blood donors. These findings support the need for targeted leprosy screening in this population. Regardless of qPCR results, individuals with clinical signs of leprosy require appropriate treatment and assessment of their eligibility for blood donation.

Indexed as

Antibodies, BacterialAntigens, BacterialBlood DonorsGlycolipidsImmunoglobulin MLeprosyAdolescentAdultBrazilEnzyme-Linked Immunosorbent AssayFemaleHumansMaleMiddle AgedMycobacterium lepraePrevalenceAntibodies, BacterialAntigens, BacterialGlycolipidsImmunoglobulin Mphenolic glycolipid I, Mycobacterium lepraeanti‐PGL‐I IgM serologyblood donorleprosyMycobacterium lepraePCR RLEP

Identifiers

PMID40889880
PMCPMC12401646

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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.