Evidence map›Paper›PMID 27515948›Full record

ArticleMalaria journal2016

Plasma levels of Galectin-9 reflect disease severity in malaria infection.

Bindongo P P Dembele, Haorile Chagan-Yasutan, Toshiro Niki, Yugo Ashino, Noppadon Tangpukdee, Egawa Shinichi, Srivicha Krudsood, Shigeyuki Kano, Toshio Hattori

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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  3. Dichotomous effects of Galectin-9 in disease modulation in murine models of inflammatory bowel disease.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2025
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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

9 authors at 5 institutions in 2 countries.

Bindongo P P DembeleDivision of International Cooperation for Disaster Medicine, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Haorile Chagan-YasutanDivision of Disaster-related Infectious Disease, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Toshiro NikiDepartment of Immunology, Kagawa University, Takamatsu, Japan.
Yugo AshinoDivision of Disaster-related Infectious Disease, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Noppadon TangpukdeeDepartment of Clinical Tropical Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Egawa ShinichiDivision of International Cooperation for Disaster Medicine, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Srivicha KrudsoodClinical Malaria Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Shigeyuki KanoDepartment of Tropical Medicine and Malaria, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan.
Toshio HattoriDivision of Disaster-related Infectious Disease, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan. hattorit@kiui.ac.jp.
Tohoku University · JPKagawa University · JPMahidol Oxford Tropical Medicine Research Unit · THMahidol University · THNational Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGalectin-9 (Gal-9) is a β-galactoside-binding lectin that interacts with sugar moieties on glycoproteins and glycolipids of cells and pathogens. Gal-9 is known as an immune modulator that induces cell death via interaction with T cell immunoglobulin and mucin domain-3 (Tim3), a co-inhibitory receptor, and it inhibits production of several pro-inflammatory cytokines (TNF, IL-6 and IL-1α) and enhances production of IL-10. To understand the immune pathology of malaria, the Gal-9 in plasma was measured.

methodsPlasma samples and clinical parameters were obtained from 50 acute malaria cases (nine severe and 41 uncomplicated cases) from Thailand at three time points: day 0, day 7 and day 28. Gal-9 levels were determined by ELISA. A total of 38 species of cytokines and chemokines were measured using a BioPlex assay.

resultsGal-9 levels were higher at day 0 compared to day 7 and day 28 (P < 0.0001). Gal-9 levels were also higher in severe malaria (SM) cases compared to uncomplicated (UM) cases at day 0 and day 7 (923 vs 617 pg/mL; P = 0.03, and 659 vs 348 pg/mL; P = 0.02 respectively). Median Gal-9 levels were higher in patients with blood urea nitrogen to creatinine ratio (BUN/creatinine) ≥20 (mg/dL) than in patients with BUN/creatinine <20 (mg/dL) at day 0 (817.3 vs 576.2 pg/mL, P = 0.007). Gal-9 was inversely significantly correlated with chloride levels in both SM and UM cases (r s = -0.73 and r s = -0.46, respectively). In both UM and SM cases, Gal-9 was significantly associated with pro- and anti-inflammatory cytokines and chemokines such as TNF, IL-6, IFN-α2, IFN-γ, IL-1Ra and IL-10. These correlations were observed at day 0 but disappeared at day 28.

conclusionsGal-9 is released during acute malaria, and reflects its severity. This elevation of Gal-9 in acute malaria infection raises the possibility of its role in termination of the immune response by binding to Tim-3, a receptor of Gal-9.

Indexed as

AdolescentAdultCytokinesEnzyme-Linked Immunosorbent AssayFemaleGalectinsHumansMalariaMaleMiddle AgedPlasmaThailandYoung AdultCytokinesGalectinsLGALS9 protein, human

Identifiers

PMID27515948
PMCPMC4982308
OpenAlexW2518023850

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.