Evidence map›Paper›PMID 39338584›Full record

ArticleMicroorganisms2024

Ex Vivo Analysis of the Association of GFP-Expressing

Medhavi Ranatunga, Andrew Deacon, Laurence S Harbige, Paul Dyer, Joshua Boateng, Giulia T M Getti

Abstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Medhavi RanatungaFaculty of Science and Engineering, The University of Greenwich at Medway, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK.
Andrew DeaconFaculty of Science and Engineering, The University of Greenwich at Medway, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK.ORCID 0000-0001-7630-4973
Laurence S HarbigeCentre for Health and Life Sciences Research, School of Human Sciences, London Metropolitan University, 166-220 Holloway Road, London N7 8DB, UK.
Paul DyerHalo Labs Ltd., Burlingame, CA 94010, USA.
Joshua BoatengFaculty of Science and Engineering, The University of Greenwich at Medway, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK.ORCID 0000-0002-6310-729X
Giulia T M GettiFaculty of Science and Engineering, The University of Greenwich at Medway, Central Avenue, Chatham Maritime, Kent ME4 4TB, UK.ORCID 0000-0003-1402-8496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leishmania parasites are transmitted to mammalian hosts through the bite of sandflies. These parasites can infect phagocytic cells (macrophages, dendritic cells, and neutrophils) and non-phagocytic cells (B cells and fibroblasts). In mice models, the disease development or resolution is linked to T cell responses involving inflammatory cytokines and the activation of macrophages with the M1/M2 phenotype. However, this mechanism does not apply to human infection where a more complex immunological response occurs. The understanding of interactions between immune cells during Leishmania infection in humans is still limited, as current infection models focus on individual cell types or late infection using controlled human infection models (CHIMs). This study investigated the early parasite infection in freshly isolated peripheral blood-derived (PBD) leukocytes over 24 h. Flow cytometer analysis is used in immunophenotyping to identify different subpopulations. The study found that among the

Indexed as

activatedCD4+effectorex vivoL. aethiopicaGFPL. mexicanaGFPnaïveperipheral blood-derived leukocytesregulatory T cells

Identifiers

PMID39338584
PMCPMC11434358

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.