Evidence map›Paper›PMID 38508901›Full record

ReviewTrends in parasitology2024

Exploiting integrative metabolomics to study host-parasite interactions in Plasmodium infections.

Maria Nikulkova, Wael Abdrabou, Jane M Carlton, Youssef Idaghdour

Abstract readReview
In one paragraph

Review in Trends in parasitology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
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

4 authors.

Maria NikulkovaCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 11101, USA; Johns Hopkins Malaria Research Institute, Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Wael AbdrabouProgram in Biology, Division of Science and Mathematics, New York University, Abu Dhabi, United Arab Emirates.
Jane M CarltonCenter for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 11101, USA; Johns Hopkins Malaria Research Institute, Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. Electronic address: JaneCarlton@jhu.edu.
Youssef IdaghdourProgram in Biology, Division of Science and Mathematics, New York University, Abu Dhabi, United Arab Emirates.

Funding

Using Next-Generation Genomics to Study Antimalarial Drug Resistance in IndiaU19AI089676 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CARLTON, JANE M · 2010 to 2023
$22.6M
NIAID NIH HHS U19 AI089676
6 · The paper itself

Abstract

Despite years of research, malaria remains a significant global health burden, with poor diagnostic tests and increasing antimalarial drug resistance challenging diagnosis and treatment. While 'single-omics'-based approaches have been instrumental in gaining insight into the biology and pathogenicity of the Plasmodium parasite and its interaction with the human host, a more comprehensive understanding of malaria pathogenesis can be achieved through 'multi-omics' approaches. Integrative methods, which combine metabolomics, lipidomics, transcriptomics, and genomics datasets, offer a holistic systems biology approach to studying malaria. This review highlights recent advances, future directions, and challenges involved in using integrative metabolomics approaches to interrogate the interactions between Plasmodium and the human host, paving the way towards targeted antimalaria therapeutics and control intervention methods.

Indexed as

MalariaPlasmodiumGenomicsHost-Parasite InteractionsHumansMetabolomicsdual RNA-seqgeneticsintegrative omicsmalariametabolomicsPlasmodium

Identifiers

PMID38508901
PMCPMC10994734

What OpenQuestion holds

Textmetadata
LicenceTDM
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.