Evidence map›Paper›PMID 42836860›Full record

ArticleDiabetologia2026

Deuterium metabolic imaging reveals greater liver fat contribution from lipogenesis in South Asian men than European men: a potential mechanism underlying elevated type 2 diabetes risk.

Mueed Azhar, Jieniean Worsley, Kaitlyn M J H Dennis, Emanuella De Lucia Rolfe, Amy Barrett, Mandour O Mandour, Enes Demir, Katherine Carr, Michele Ferraro, Ranalie De Jesus and 13 more

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Article in Diabetologia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

23 authors.

Mueed AzharWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Jieniean WorsleyNational Institute for Health and Care Research (NIHR) Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Kaitlyn M J H DennisOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Emanuella De Lucia RolfeMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Amy BarrettOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.
Mandour O MandourInstitute of Metabolic Science Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.
Enes DemirWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0003-0950-7740
Katherine CarrNational Institute for Health and Care Research (NIHR) Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID http://orcid.org/0000-0002-3309-9655
Michele FerraroWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Ranalie De JesusNational Institute for Health and Care Research (NIHR) Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Samuel KingNational Institute for Health and Care Research (NIHR) Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID http://orcid.org/0000-0002-9503-6633
Sherly JoseNational Institute for Health and Care Research (NIHR) Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Simon R WhiteMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Peter BarkerInstitute of Metabolic Science Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.
Graham J KempDepartment of Musculoskeletal & Ageing Science, University of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0002-8324-9666
Kevin M BrindleCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Krishna K ChatterjeeNational Institute for Health and Care Research (NIHR) Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Nita G ForouhiMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
Michelle VenablesMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-9380-0060
Laura WatsonNational Institute for Health and Care Research (NIHR) Cambridge Clinical Research Facility, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Leanne HodsonOxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-2648-6526
David B SavageInstitute of Metabolic Science Metabolic Research Laboratories, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-7857-7032
Alison SleighWolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK. as626@cam.ac.uk.ORCID http://orcid.org/0000-0002-3859-8701

Funding

British Heart Foundation FS/SBSRF/21/31013Medical Research Council MC_UU_00006/3Medical Research Council MC_UU_00014Medical Research Council MC_UU_00039Medical Research Council MR/V011758/1Medical Research Council MR/X00970X/1NIHR Cambridge Biomedical Research Centre BRC 1215 20014NIHR Cambridge Biomedical Research Centre NIHR202397NIHR Cambridge Biomedical Research Centre NIHR203312Wellcome Trust 208363/Z/17/ZWellcome Trust 226800/Z/22/ZWellcome Trust WT 219417
6 · The paper itself

Abstract

aims/hypothesisSouth Asian individuals are up to six times more likely to develop type 2 diabetes than individuals from other ethnic groups, often at a younger age and lower BMI. It has been shown that liver fat accumulates more readily in South Asian individuals, and this is thought to be a key driving factor contributing to the insulin resistance and diabetes in this population. However, the mechanisms underlying this phenomenon remain unclear. Understanding the role of de novo lipogenesis (DNL) in liver fat accumulation has been hampered by a lack of non-invasive techniques to quantify DNL-derived liver fat. We developed a method to quantify DNL-derived liver fat and used it in a proof-of-concept case-control study, hypothesising that there would be greater liver fat contribution from DNL in South Asian individuals than in European individuals.

methodsA total of seven South Asian and six European participants, matched for age and BMI, underwent deuterium magnetic resonance scans at baseline and after 5 days of

resultsOur method allowed precise quantification of CONCLUSIONS/

interpretationDNL or related factors may play a pivotal role in driving the increased liver fat and risk of diabetes in South Asian individuals. The novel methodology used to quantify DNL provides a powerful tool for studying DNL-derived liver fat in human metabolic disorders including diabetes.

Indexed as

De novo lipogenesisDeuterium metabolic imagingLiver fatMagnetic resonance spectroscopySouth Asian

Identifiers

PMID42836860

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