Evidence map›Paper›PMID 25415563›Full record

ArticlePloS one2014

Proteomic analysis in type 2 diabetes patients before and after a very low calorie diet reveals potential disease state and intervention specific biomarkers.

Maria A Sleddering, Albert J Markvoort, Harish K Dharuri, Skhandhan Jeyakar, Marieke Snel, Peter Juhasz, Moira Lynch, Wade Hines, Xiaohong Li, Ingrid M Jazet and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 26 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

14 authors at 3 institutions in 2 countries.

Maria A SledderingDepartments of General Internal Medicine and Endocrinology & Metabolism, Leiden University Medical Center, Leiden, The Netherlands.
Albert J MarkvoortDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Harish K DharuriHuman Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Skhandhan JeyakarDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Marieke SnelDepartments of General Internal Medicine and Endocrinology & Metabolism, Leiden University Medical Center, Leiden, The Netherlands.
Peter JuhaszBG Medicine Inc., Waltham, Massachusetts, United States of America.
Moira LynchBG Medicine Inc., Waltham, Massachusetts, United States of America.
Wade HinesBG Medicine Inc., Waltham, Massachusetts, United States of America.
Xiaohong LiBG Medicine Inc., Waltham, Massachusetts, United States of America.
Ingrid M JazetDepartments of General Internal Medicine and Endocrinology & Metabolism, Leiden University Medical Center, Leiden, The Netherlands.
Aram AdourianBG Medicine Inc., Waltham, Massachusetts, United States of America.
Peter A J HilbersDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Johannes W A SmitDepartments of General Internal Medicine and Endocrinology & Metabolism, Leiden University Medical Center, Leiden, The Netherlands.
Ko Willems Van DijkDepartments of General Internal Medicine and Endocrinology & Metabolism, Leiden University Medical Center, Leiden, The Netherlands; Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLBG Medicine (United States) · USEindhoven University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledVery low calorie diets (VLCD) with and without exercise programs lead to major metabolic improvements in obese type 2 diabetes patients. The mechanisms underlying these improvements have so far not been elucidated fully. To further investigate the mechanisms of a VLCD with or without exercise and to uncover possible biomarkers associated with these interventions, blood samples were collected from 27 obese type 2 diabetes patients before and after a 16-week VLCD (Modifast ∼ 450 kcal/day). Thirteen of these patients followed an exercise program in addition to the VCLD. Plasma was obtained from 27 lean and 27 obese controls as well. Proteomic analysis was performed using mass spectrometry (MS) and targeted multiple reaction monitoring (MRM) and a large scale isobaric tags for relative and absolute quantitation (iTRAQ) approach. After the 16-week VLCD, there was a significant decrease in body weight and HbA1c in all patients, without differences between the two intervention groups. Targeted MRM analysis revealed differences in several proteins, which could be divided in diabetes-associated (fibrinogen, transthyretin), obesity-associated (complement C3), and diet-associated markers (apolipoproteins, especially apolipoprotein A-IV). To further investigate the effects of exercise, large scale iTRAQ analysis was performed. However, no proteins were found showing an exercise effect. Thus, in this study, specific proteins were found to be differentially expressed in type 2 diabetes patients versus controls and before and after a VLCD. These proteins are potential disease state and intervention specific biomarkers.

trial registrationControlled-Trials.com ISRCTN76920690.

Indexed as

Caloric RestrictionProteomicsBiomarkersDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHumansMaleMass SpectrometryMiddle AgedBiomarkersGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID25415563
PMCPMC4240577
OpenAlexW2151131770

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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.