Evidence map›Paper›PMID 31784594›Full record

ArticleScientific reports2019

Whole blood RNA signatures in leprosy patients identify reversal reactions before clinical onset: a prospective, multicenter study.

Maria Tió-Coma, Anouk van Hooij, Kidist Bobosha, Jolien J van der Ploeg-van Schip, Sayera Banu, Saraswoti Khadge, Pratibha Thapa, Chhatra B Kunwar, Isabela M Goulart, Yonas Bekele and 11 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Leprosy.Nature reviews. Disease primers · 2024
    Review
  7. Article
  8. Article
  9. Qua vadis leprosy?The Indian journal of medical research · 2023
    Article
  10. Frontiers in microbiology · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Transcriptomic Analysis ofFrontiers in cellular and infection microbiology · 2021
    Article
  20. 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

21 authors at 7 institutions in 6 countries.

Maria Tió-ComaDept. of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-3594-1156
Anouk van HooijDept. of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Kidist BoboshaDept. of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Jolien J van der Ploeg-van SchipDept. of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Sayera BanuInternational Center for Diarrhoeal Disease Research Bangladesh, Dhaka, Bangladesh.
Saraswoti KhadgeMycobacterial Research Laboratories, Anandaban Hospital, Kathmandu, Nepal.
Pratibha ThapaMycobacterial Research Laboratories, Anandaban Hospital, Kathmandu, Nepal.
Chhatra B KunwarMycobacterial Research Laboratories, Anandaban Hospital, Kathmandu, Nepal.
Isabela M GoulartNational Reference Center for Sanitary Dermatology and Leprosy, Faculty of Medicine, Federal University of Uberlandia, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-2319-3223
Yonas BekeleArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Deanna A HaggeMycobacterial Research Laboratories, Anandaban Hospital, Kathmandu, Nepal.
Milton O MoraesLeprosy Laboratory, Oswaldo Cruz Institute - FIOCRUZ, Rio de Janeiro, Brazil.
Rosane M B TelesDivision of Dermatology, Department of Medicine, Immunology and Molecular Genetics, David Geffen School of Medicine at University of California (UCLA), Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-2908-3244
Roberta Olmo PinheiroLeprosy Laboratory, Oswaldo Cruz Institute - FIOCRUZ, Rio de Janeiro, Brazil.
Erik W van ZwetDept. Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands.
Jelle J GoemanDept. Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands.
Abraham AseffaArmauer Hansen Research Institute, Addis Ababa, Ethiopia.ORCID http://orcid.org/0000-0002-8028-1150
Mariëlle C HaksDept. of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Tom H M OttenhoffDept. of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Robert L ModlinDivision of Dermatology, Department of Medicine, Immunology and Molecular Genetics, David Geffen School of Medicine at University of California (UCLA), Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-4720-031X
Annemieke GelukDept. of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands. a.geluk@lumc.nl.
Leiden University Medical Center · NLAnandaban Hospital · NPArmauer Hansen Research Institute · ETFundação Oswaldo Cruz · BRUniversity of California, Los Angeles · USInternational Centre for Diarrhoeal Disease Research · BDUniversidade Federal de Uberlândia · BR

Funding

Molecular Analysis of the Host Immune Response in LeprosyR01AI022553 · NIAID · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROBERT L MODLIN · 1989 to 2026
$15.7M
TCR GAMMA/DELTA LYMPHOCYTES IN HUMAN SKIN LESIONSR01AR040312 · NIAMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MODLIN, ROBERT L · 1990 to 2025
$10.4M
IL-26 in host defense against infection by intracellular bacteria in skinR01AR073252 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MODLIN, ROBERT L · 2019 to 2023
$2.1M
NIAID NIH HHS R01 AI022553NIAMS NIH HHS R01 AR040312NIAMS NIH HHS R01 AR073252
6 · The paper itself

Abstract

Early diagnosis of leprosy is challenging, particularly its inflammatory reactions, the major cause of irreversible neuropathy in leprosy. Current diagnostics cannot identify which patients are at risk of developing reactions. This study assessed blood RNA expression levels as potential biomarkers for leprosy. Prospective cohorts of newly diagnosed leprosy patients, including reactions, and healthy controls were recruited in Bangladesh, Brazil, Ethiopia and Nepal. RNA expression in 1,090 whole blood samples was determined for 103 target genes for innate and adaptive immune profiling by dual color Reverse-Transcription Multiplex Ligation-dependent Probe Amplification (dcRT-MLPA) followed by cluster analysis. We identified transcriptomic biomarkers associated with leprosy disease, different leprosy phenotypes as well as high exposure to Mycobacterium leprae which respectively allow improved diagnosis and classification of leprosy patients and detection of infection. Importantly, a transcriptomic signature of risk for reversal reactions consisting of five genes (CCL2, CD8A, IL2, IL15 and MARCO) was identified based on cross-sectional comparison of RNA expression. In addition, intra-individual longitudinal analyses of leprosy patients before, during and after treatment of reversal reactions, indicated that several IFN-induced genes increased significantly at onset of reaction whereas IL15 decreased. This multi-site study, situated in four leprosy endemic areas, demonstrates the potential of host transcriptomic biomarkers as correlates of risk for leprosy. Importantly, a prospective five-gene signature for reversal reactions could predict reversal reactions at least 2 weeks before onset. Thus, transcriptomic biomarkers provide promise for early detection of these acute inflammatory episodes and thereby help prevent permanent neuropathy and disability in leprosy patients.

Indexed as

TranscriptomeAdolescentAdultBangladeshBiomarkersBrazilEthiopiaFemaleHumansLeprosyMaleMycobacterium lepraeNepalNetherlandsPrognosisProspective StudiesBiomarkers

Identifiers

PMID31784594
PMCPMC6884598
OpenAlexW2991008402

What OpenQuestion holds

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LicenceCC BY
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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.