Evidence map›Paper›PMID 40287829›Full record

ReviewHuman molecular genetics2025

An overview of host immune responses against Leishmania spp. infections.

Hanna Paton, Prabuddha Sarkar, Prajwal Gurung

Abstract readReview
In one paragraph

Review in Human molecular genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. PluronicInternational journal of molecular sciences · 2026
    Article
  6. Review
  7. Review
  8. Review
  9. 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

3 authors.

Hanna PatonInflammation Program, University of Iowa, 431 Newton Road, Iowa City, IA 52242, United States.
Prabuddha SarkarInflammation Program, University of Iowa, 431 Newton Road, Iowa City, IA 52242, United States.
Prajwal GurungInflammation Program, University of Iowa, 431 Newton Road, Iowa City, IA 52242, United States.

Funding

TRAINING IN MECHANISMS OF PARASITISMT32AI007511 · NIAID · UNIVERSITY OF IOWA · PI BUTLER, NOAH SULLIVAN, WEBER, MARY · 1996 to 2025
$8.1M
Implicating a previously unknown Dectin1-RIPK2-CARD9 signaling in providing resistance against Leishmania major infectionR01AI155425 · NIAID · UNIVERSITY OF IOWA · PI GURUNG, PRAJWAL · 2021 to 2025
$2.5M
BLRD VA I01 BX006091NIAID NIH HHS R01 AI155425NIAID NIH HHS T32 AI007511NIH HHS R01AI155425NIH Training in Mechanisms of Parasitism T32 T32AI007511University of Iowa Startup FundsVAVA Merit Review Award I01BX006091
6 · The paper itself

Abstract

Leishmania spp. infections pose a significant global health challenge, affecting approximately 1 billion people across more than 88 endemic countries. This unicellular, obligate intracellular parasite causes a spectrum of diseases, ranging from localized cutaneous lesions to systemic visceral infections. Despite advancements in modern medicine and increased understanding of the parasite's etiology and associated diseases, treatment options remain limited to pentavalent antimonials, liposomal amphotericin B, and miltefosine. A deeper understanding of the interactions between immune and non-immune cells involved in the clearance of Leishmania spp. infections could uncover novel therapeutic strategies for this debilitating disease. This review highlights recent progress in elucidating how various cell types contribute to the regulation and resolution of Leishmania spp. infections.

Indexed as

Host-Parasite InteractionsLeishmaniaLeishmaniasisAnimalsHumansHost-pathogen interactionImmune responseLeishmaniaParasite

Identifiers

PMID40287829
PMCPMC12501981

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.