Evidence map›Paper›PMID 26961973›Full record

ArticleMalaria journal2016

Expression of complement and toll-like receptor pathway genes is associated with malaria severity in Mali: a pilot case control study.

Rafal S Sobota, Antoine Dara, Jessica E Manning, Amadou Niangaly, Jason A Bailey, Abdoulaye K Kone, Mahamadou A Thera, Abdoulaye A Djimdé, Guy Vernet, Philippe Leissner and 3 more

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

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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

13 authors at 7 institutions in 3 countries.

Rafal S SobotaDepartment of Molecular Physiology and Biophysics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN, USA. rafal4484@gmail.com.
Antoine DaraDepartment of Epidemiology of Parasitic Diseases, Malaria Research and Training Center, University of Sciences, Techniques and Technology of Bamako, Bamako, Mali. tonydara@gmail.com.
Jessica E ManningDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA. jess.manning@gmail.com.
Amadou NiangalyDepartment of Epidemiology of Parasitic Diseases, Malaria Research and Training Center, University of Sciences, Techniques and Technology of Bamako, Bamako, Mali. abniangaly@gmail.com.
Jason A BaileyDivision of Malaria Research, Institute for Global Health, University of Maryland School of Medicine, Baltimore, MD, USA. Jbail006@umaryland.edu.
Abdoulaye K KoneDepartment of Epidemiology of Parasitic Diseases, Malaria Research and Training Center, University of Sciences, Techniques and Technology of Bamako, Bamako, Mali. fankone@icermali.org.
Mahamadou A TheraDepartment of Epidemiology of Parasitic Diseases, Malaria Research and Training Center, University of Sciences, Techniques and Technology of Bamako, Bamako, Mali. mthera@icermali.org.
Abdoulaye A DjimdéDepartment of Epidemiology of Parasitic Diseases, Malaria Research and Training Center, University of Sciences, Techniques and Technology of Bamako, Bamako, Mali. adjimde@icermali.org.
Guy VernetPasteur Institute of Cameroon, Yaounde, Cameroon, Fondation Merieux, Lyon, France. vernet@pasteur-yaounde.org.
Philippe LeissnerBioMerieux, Grenoble, France. philippe.leissner@biomerieux.com.
Scott M WilliamsDepartment of Genetics, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. Scott.Williams@dartmouth.edu.
Christopher V PloweDivision of Malaria Research, Institute for Global Health, University of Maryland School of Medicine, Baltimore, MD, USA. cplowe@medicine.umaryland.edu.
Ogobara K DoumboDepartment of Epidemiology of Parasitic Diseases, Malaria Research and Training Center, University of Sciences, Techniques and Technology of Bamako, Bamako, Mali. okd@icermali.org.
University of Bamako · MLUniversity of Maryland, Baltimore · USbioMérieux (France) · FRBrigham and Women's Hospital · USDartmouth College · USFondation Mérieux · FRVanderbilt University · US

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Quantitative Biology Research InstituteP20GM103534 · NIGMS · DARTMOUTH COLLEGE · PI AMOS, CHRISTOPHER I. · 2012 to 2016
$8.6M
MALARIA RESEARCH TRAINING IN MALID43TW001589 · FIC · UNIVERSITY OF MARYLAND BALTIMORE · PI PLOWE, CHRISTOPHER V. · 2000 to 2015
$2.8M
FIC NIH HHS D43 TW001589FIC NIH HHS R24 TW007988NIGMS NIH HHS P20 GM103534NIGMS NIH HHS T32 GM007347NIGMS NIH HHS T32 GM07347
6 · The paper itself

Abstract

backgroundThe host response to infection by Plasmodium falciparum, the parasite most often responsible for severe malaria, ranges from asymptomatic parasitaemia to death. The clinical trajectory of malaria is influenced by host genetics and parasite load, but the factors determining why some infections produce uncomplicated malaria and some proceed to severe disease remain incompletely understood.

methodsTo identify molecular markers of severe falciparum malaria, human gene expression patterns were compared between children aged 6 months to 5 years with severe and uncomplicated malaria who were enrolled in a case-control study in Bandiagara, Mali. Microarrays were used to obtain expression data on severe cases and uncomplicated controls at the time of acute disease presentation (five uncomplicated and five severe), 1 week after presentation (three uncomplicated and three severe) and treatment initiation, and in the subsequent dry season (late convalescence, four uncomplicated and four severe). This is a pilot study for the first use of microarray technology in Mali.

resultsComplement and toll-like receptor (TLR) pathways were differentially expressed, with severe cases showing higher expression of the C1q, TLR2, TLR4, TLR8, and CR1 genes. Other genes previously associated with malaria pathogenesis, GZMB, FOS and HSPA6, were also higher among severe cases. TLR2, TLR4, TLR8, CR1, GZMB, FOS, and HSPA6 genes were expressed at lower levels in severe cases at late convalescence.

conclusionsOverexpression of genes previously associated with uncomplicated malaria was associated with severe disease. Low baseline expression of these genes may represent candidate markers for severe malaria. Despite the small sample size, results of this pilot study offer promising targets for follow-up analyses.

Indexed as

BiomarkersCase-Control StudiesChild, PreschoolCluster AnalysisComplement System ProteinsFemaleGene Expression ProfilingHumansInfantMalaria, FalciparumMaleMaliMolecular EpidemiologyOligonucleotide Array Sequence AnalysisPilot ProjectsPlasmodium falciparumBiomarkersComplement System ProteinsToll-Like Receptors

Identifiers

PMID26961973
PMCPMC4784286
OpenAlexW2293518048

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Registered trials

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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.