Evidence map›Paper›PMID 38703299›Full record

SynthesisCurrent obesity reports2024

A Systematic Review of Proteomics in Obesity: Unpacking the Molecular Puzzle.

Alba Rodriguez-Muñoz, Hanieh Motahari-Rad, Laura Martin-Chaves, Javier Benitez-Porres, Jorge Rodriguez-Capitan, Andrés Gonzalez-Jimenez, Maria Insenser, Francisco J Tinahones, Mora Murri

Erratum issuedAbstract readSystematic Review
In one paragraph

Synthesis in Current obesity reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. The bronchoalveolar proteome changes in obesity.American journal of physiology. Lung cellular and molecular physiology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Alba Rodriguez-MuñozEndocrinology and Nutrition UGC, Hospital Universitario Virgen de La Victoria, Málaga, Spain.
Hanieh Motahari-RadDepartment of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Laura Martin-ChavesHeart Area, Hospital Universitario Virgen de La Victoria, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain.
Javier Benitez-PorresInstituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Hospital Clínico Virgen de La Victoria, Málaga, Spain.
Jorge Rodriguez-CapitanHeart Area, Hospital Universitario Virgen de La Victoria, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain.
Andrés Gonzalez-JimenezECAI Bioinformatic Institute of Biomedical Research of Malaga (IBIMA), Malaga, Spain.
Maria InsenserDiabetes, Obesity and Human Reproduction Research Group, Department of Endocrinology & Nutrition, Hospital Universitario Ramón y Cajal & Universidad de Alcalá & Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS) & Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain. insensermaria@gmail.com.
Francisco J TinahonesEndocrinology and Nutrition UGC, Hospital Universitario Virgen de La Victoria, Málaga, Spain.
Mora MurriEndocrinology and Nutrition UGC, Hospital Universitario Virgen de La Victoria, Málaga, Spain. moramurri@gmail.com.

Funding

Consejería de Salud y Consumo, Junta de Andalucía RH-0095-2020Instituto de Salud Carlos III CPII22-00013Universidad de Málaga, Andalucía, Spain UMA18-FEDERJA-285, CB06/03/0018, PI-0297-2018
6 · The paper itself

Abstract

purpose of reviewThe present study aims to review the existing literature to identify pathophysiological proteins in obesity by conducting a systematic review of proteomics studies. Proteomics may reveal the mechanisms of obesity development and clarify the links between obesity and related diseases, improving our comprehension of obesity and its clinical implications. RECENT

findingsMost of the molecular events implicated in obesity development remain incomplete. Proteomics stands as a powerful tool for elucidating the intricate interactions among proteins in the context of obesity. This methodology has the potential to identify proteins involved in pathological processes and to evaluate changes in protein abundance during obesity development, contributing to the identification of early disease predisposition, monitoring the effectiveness of interventions and improving disease management overall. Despite many non-targeted proteomic studies exploring obesity, a comprehensive and up-to-date systematic review of the molecular events implicated in obesity development is lacking. The lack of such a review presents a significant challenge for researchers trying to interpret the existing literature. This systematic review was conducted following the PRISMA guidelines and included sixteen human proteomic studies, each of which delineated proteins exhibiting significant alterations in obesity. A total of 41 proteins were reported to be altered in obesity by at least two or more studies. These proteins were involved in metabolic pathways, oxidative stress responses, inflammatory processes, protein folding, coagulation, as well as structure/cytoskeleton. Many of the identified proteomic biomarkers of obesity have also been reported to be dysregulated in obesity-related disease. Among them, seven proteins, which belong to metabolic pathways (aldehyde dehydrogenase and apolipoprotein A1), the chaperone family (albumin, heat shock protein beta 1, protein disulfide-isomerase A3) and oxidative stress and inflammation proteins (catalase and complement C3), could potentially serve as biomarkers for the progression of obesity and the development of comorbidities, contributing to personalized medicine in the field of obesity. Our systematic review in proteomics represents a substantial step forward in unravelling the complexities of protein alterations associated with obesity. It provides valuable insights into the pathophysiological mechanisms underlying obesity, thereby opening avenues for the discovery of potential biomarkers and the development of personalized medicine in obesity.

Indexed as

BiomarkersObesityProteomicsHumansOxidative StressBiomarkersMetabolismObesityPersonalized medicineProteomics

Identifiers

PMID38703299
PMCPMC11306592

What OpenQuestion holds

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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.