Evidence map›Paper›PMID 39970911›Full record

ArticleAmerican journal of human genetics2025

Single-cell transcriptomics reveals inter-ethnic variation in immune response to Falciparum malaria.

Tala Shahin, Jakub Jurkovic, Mame Massar Dieng, Vinu Manikandan, Wael Abdrabou, Bana Alamad, Odmaa Bayaraa, Aïssatou Diawara, Samuel Sindié Sermé, Noëlie Béré Henry and 6 more

Abstract read
In one paragraph

Article in American journal of human genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Federated single-cell QTL meta-analysis reveals novel disease mechanisms.bioRxiv : the preprint server for biology · 2026
    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

16 authors.

Tala ShahinProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Jakub JurkovicProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Mame Massar DiengProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Vinu ManikandanProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Wael AbdrabouProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Bana AlamadProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Odmaa BayaraaProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Aïssatou DiawaraProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Samuel Sindié SerméCentre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso.
Noëlie Béré HenryCentre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso.
Salif SombieCentre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso.
Dareen AlmojilProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Marc ArnouxCore Technology Platforms, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Nizar DrouCenter for Genomics and Systems Biology, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates.
Issiaka SoulamaCentre National de Recherche et de Formation sur le Paludisme, Ouagadougou, Burkina Faso; Institut de Recherche en Sciences de la Santé (IRSS)/CNRST, 03 BP 7192, Ouagadougou, Burkina Faso.
Youssef IdaghdourProgram in Biology, Division of Science and Mathematics, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates; Center for Genomics and Systems Biology, New York University Abu Dhabi, P.O. Box 129188, Abu Dhabi, United Arab Emirates. Electronic address: youssef.idaghdour@nyu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Africa's environmental, cultural, and genetic diversity can profoundly shape population responses to infectious diseases, including malaria caused by Plasmodium falciparum. Differences in malaria susceptibility among populations are documented, but the underlying mechanisms remain poorly understood. Notably, the Fulani ethnic group in Africa is less susceptible to malaria compared to other sympatric groups, such as the Mossi. They exhibit lower disease rates and parasite load as well as enhanced serological protection. However, elucidating the molecular and cellular basis of this protection has been challenging in part due to limited immunological characterization at the cellular level. To address this question, we performed single-cell transcriptomic profiling of peripheral blood mononuclear cells from 126 infected and non-infected Fulani and Mossi children in rural Burkina Faso. This analysis generated over 70,000 single-cell transcriptomes and identified 30 distinct cell subtypes. We report a profound effect of ethnicity on the transcriptional landscape, particularly within monocyte populations. Differential expression analysis across cell subtypes revealed ethnic-specific immune signatures under both infected and non-infected states. Specifically, monocytes and T cell subtypes of the Fulani exhibited reduced pro-inflammatory responses, while their B cell subtypes displayed stronger activation and inflammatory profiles. Furthermore, single-cell expression quantitative trait locus (eQTL) analysis in monocytes of infected children revealed several significant regulatory variants with ethnicity-specific effects on immune-related genes, including CD36 and MT2A. Overall, we identify ethnic, cell-type-specific, and genetic regulatory effects on host immune responses to malaria and provide valuable single-cell eQTL and transcriptomic datasets from under-represented populations.

Indexed as

EthnicityMalaria, FalciparumPlasmodium falciparumTranscriptomeBlack PeopleBurkina FasoChildChild, PreschoolFemaleGene Expression ProfilingHumansLeukocytes, MononuclearMaleMonocytesSingle-Cell AnalysisAfrican genomicsFulaniimmune responsemalariaMossisc-eQTLsingle-cell RNA-seq

Identifiers

PMID39970911
PMCPMC11947175

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.