Evidence map›Paper›PMID 40901417›Full record

ReviewJournal of parasitic diseases : official organ of the Indian Society for Parasitology2025

Overview of the host immune response to

Samuel Antwi-Baffour, Benjamin Tetteh Mensah, Lawrence Annison

Abstract readReview
In one paragraph

Review in Journal of parasitic diseases : official organ of the Indian Society for Parasitology, 2025. 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

3 authors.

Samuel Antwi-BaffourSchool of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, P. O. Box KB 143, Korle-Bu, Accra, Ghana.ORCID 0000-0002-7653-1129
Benjamin Tetteh MensahSchool of Biomedical and Allied Health Sciences, College of Health Sciences, University of Ghana, P. O. Box KB 143, Korle-Bu, Accra, Ghana.
Lawrence AnnisonDepartment of Medical Laboratory Technology, School of Medical Sciences, Accra Technical University, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The host immune response to malaria is a complex interplay between the parasite, Plasmodium, and the human immune system. Upon infection, various components of the immune system, including innate and adaptive responses, are mobilized to combat the parasite. Innate immunity provides the initial defense, with cells such as macrophages, dendritic cells, and natural killer cells recognizing and responding to the parasite. Additionally, inflammatory cytokines are released to coordinate the immune response. The adaptive immune response, primarily involving T and B lymphocytes, plays a crucial role in controlling and eliminating the parasite. T cells recognize and destroy infected cells, while B cells produce antibodies that target specific antigens on the parasite's surface. These antibodies can neutralize the parasite, block its invasion of host cells, and facilitate its clearance by phagocytes. However, the development of protective immunity against malaria is complex and influenced by various factors, including parasite diversity, host genetics, and prior exposure to the parasite. While some individuals develop partial immunity over time, others remain susceptible to severe disease. Understanding the intricacies of the host immune response to malaria is essential for the development of effective vaccines and therapies to combat this global health burden.

Indexed as

ImmuneLymphocytes and cellsMalariaParasitePlasmodium

Identifiers

PMID40901417
PMCPMC12399490

What OpenQuestion holds

Textmetadata
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.