Evidence map›Paper›PMID 33494491›Full record

ArticleJournal of personalized medicine2021

Does Proteomic Mirror Reflect Clinical Characteristics of Obesity?

Olga I Kiseleva, Viktoriia A Arzumanian, Ekaterina V Poverennaya, Mikhail A Pyatnitskiy, Ekaterina V Ilgisonis, Victor G Zgoda, Oksana A Plotnikova, Khaider K Sharafetdinov, Andrey V Lisitsa, Victor A Tutelyan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. PMconv: How to Compare Proteomes and Metabolomes?International journal of molecular sciences · 2026
    Article
  3. Obesity influences the biological response to injury: a multi-omics analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
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

13 authors at 2 institutions in 1 country.

Olga I KiselevaInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Viktoriia A ArzumanianInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Ekaterina V PoverennayaInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Mikhail A PyatnitskiyInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Ekaterina V IlgisonisInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Victor G ZgodaInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Oksana A PlotnikovaFederal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia.
Khaider K SharafetdinovFederal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia.
Andrey V LisitsaInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Victor A TutelyanFederal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia.
Dmitry B NikityukFederal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia.
Alexander I ArchakovInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Elena A PonomarenkoInstitute of Biomedical Chemistry, Pogodinskaya Street 10/8, 119121 Moscow, Russia.
Institute of Biomedical Chemistry · RURussian Academy of Sciences · RU

Funding

The Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Centers "Digital biodesign and personalized healthcare" 075-15-2020-923
6 · The paper itself

Abstract

Obesity is a frightening chronic disease, which has tripled since 1975. It is not expected to slow down staying one of the leading cases of preventable death and resulting in an increased clinical and economic burden. Poor lifestyle choices and excessive intake of "cheap calories" are major contributors to obesity, triggering type 2 diabetes, cardiovascular diseases, and other comorbidities. Understanding the molecular mechanisms responsible for development of obesity is essential as it might result in the introducing of anti-obesity targets and early-stage obesity biomarkers, allowing the distinction between metabolic syndromes. The complex nature of this disease, coupled with the phenomenon of metabolically healthy obesity, inspired us to perform data-centric, hypothesis-generating pilot research, aimed to find correlations between parameters of classic clinical blood tests and proteomic profiles of 104 lean and obese subjects. As the result, we assembled patterns of proteins, which presence or absence allows predicting the weight of the patient fairly well. We believe that such proteomic patterns with high prediction power should facilitate the translation of potential candidates into biomarkers of clinical use for early-stage stratification of obesity therapy.

Indexed as

blood testsBMImass spectrometryobesityproteomics

Identifiers

PMID33494491
PMCPMC7912072
OpenAlexW3125665555

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.