Evidence map›Paper›PMID 39912911›Full record

ArticleCellular and molecular life sciences : CMLS2025

Measurement of serum 1,5-AG provides insights for diabetes management and the anti-viral immune response.

Marcus Tong Zhen Wei, Linda A Gallo, Katina D Hulme, Fawaz Alzaid, Jean-Baptiste Julla, Emily S Dorey, Gilles Morineau, Keng Yih Chew, Emma J Grant, Stephanie Gras and 4 more

Abstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

14 authors.

Marcus Tong Zhen WeiSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Australia.
Linda A GalloSchool of Health, University of the Sunshine Coast, Petrie, Australia.
Katina D HulmeSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Australia.
Fawaz AlzaidUniversité Paris Cité, CNRS, INSERM, Institut Necker Enfants Malades-INEM, Paris, F-75015, France.
Jean-Baptiste JullaUniversité Paris Cité, CNRS, INSERM, Institut Necker Enfants Malades-INEM, Paris, F-75015, France.
Emily S DoreyMater Research, The University of Queensland, South Brisbane, QLD, 4101, Australia.
Gilles MorineauDepartment of Biochemistry and Molecular Biology - GHU AP- HP.Nord, Université Paris Cité, Lariboisière Hospital, Paris, France.
Keng Yih ChewSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Australia.
Emma J GrantInfection and Immunity Program, La Trobe Institute for Molecular Science (LIMS), La Trobe University, Bundoora, VIC, 3086, Australia.
Stephanie GrasInfection and Immunity Program, La Trobe Institute for Molecular Science (LIMS), La Trobe University, Bundoora, VIC, 3086, Australia.
Helen L Barett *Mater Research, The University of Queensland, South Brisbane, QLD, 4101, Australia.
Jean-Pierre Riveline *Université Paris Cité, CNRS, INSERM, Institut Necker Enfants Malades-INEM, Paris, F-75015, France.
Meagan Carney *School of Mathematics and Physics, The University of Queensland, St Lucia, Australia.
Kirsty R Short *School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, Australia. k.short@uq.edu.au.ORCID http://orcid.org/0000-0003-4963-6184

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAchieving an in-range glycated haemoglobin (HbA1c) is essential for managing diabetes mellitus (DM). However, this parameter provides an estimate of long-term blood glucose control rather than daily glycaemic variations. Glycaemic variability can be more predictive than HbA1c in terms of identifying those at risk for diabetes complications, including risk of severe respiratory virus infections and is usually measured via a continuous glucose monitor (CGM). For individuals for whom a CGM is not available, serum 1,5 anhydroglucitol (1,5-AG) level has shown potential as an alternative method for monitoring glycaemic variability. Despite this, at present 1,5-AG is not routinely used in the clinical assessment of DM. Here, we aim to determine whether assessing 1,5-AG, in addition to HbA1c, is of any potential clinical utility to the management of DM for patients.

methodsUsing machine learning and data derived from 78 patients with type I DM (for whom CGM data is available) we show that the combination of 1,5-AG and HbA1c improves the prediction of a patient's glycemia risk index (GRI) compared to HbA1c alone.

resultsThe GRI is an essential tool in the management of DM as it reflects both clinical priorities and patient centred outcomes. The inclusion of 1,5-AG in this prediction was particularly important for individuals who had very high or very low GRI. Furthermore, in the context of glycaemic variability and susceptibility to severe respiratory virus infections, we show that reduced 1,5-AG in the plasma is associated with reduced ex vivo CD4 + T cell cytokine responses to influenza virus in individuals with a matched HbA1c.

conclusionsTaken together, these data argue for an increased monitoring of 1,5-AG in the clinic for individuals without a CGM to provide additional insights for diabetes management.

Indexed as

DeoxyglucoseDiabetes Mellitus, Type 1AdultAgedBlood GlucoseFemaleGlycated HemoglobinHumansMachine LearningMaleMiddle AgedBlood GlucoseDeoxyglucoseGlycated Hemoglobinhemoglobin A1c protein, human1-5-AGGlycaemic variabilityHbA1cImmune response

Identifiers

PMID39912911
PMCPMC11803061

What Socratic holds

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LicenceCC BY
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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 Socratic graph.