Evidence map›Paper›PMID 33924951›Full record

ArticleJournal of personalized medicine2021

RNA-seq Characterization of Sex-Differences in Adipose Tissue of Obesity Affected Patients: Computational Analysis of Differentially Expressed Coding and Non-Coding RNAs.

Federica Rey, Letizia Messa, Cecilia Pandini, Erika Maghraby, Bianca Barzaghini, Maria Garofalo, Giancarlo Micheletto, Manuela Teresa Raimondi, Simona Bertoli, Cristina Cereda 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 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Unraveling Obesity: A Five-Year Integrative Review of Transcriptomic Data.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Aging and obesity prime the methylome and transcriptome of adipose stem cells for disease and dysfunction.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
    Article
  14. Article
  15. Article
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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

13 authors at 3 institutions in 1 country.

Federica ReyDepartment of Biomedical and Clinical Sciences "L. Sacco", School of Medicine, University of Milan, Via G.B. Grassi 74, 20157 Milan, Italy.ORCID 0000-0001-7944-3143
Letizia MessaDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy.
Cecilia PandiniGenomic and Post-Genomic Center, IRCCS Mondino Foundation, Via Mondino 2, 27100 Pavia, Italy.
Erika MaghrabyDepartment of Biomedical and Clinical Sciences "L. Sacco", School of Medicine, University of Milan, Via G.B. Grassi 74, 20157 Milan, Italy.
Bianca BarzaghiniDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy.ORCID 0000-0003-2605-0180
Maria GarofaloGenomic and Post-Genomic Center, IRCCS Mondino Foundation, Via Mondino 2, 27100 Pavia, Italy.ORCID 0000-0002-8668-3855
Giancarlo MichelettoDepartment of Pathophysiology and Transplantation, INCO and Department of General Surgery, Istituto Clinico Sant'Ambrogio, University of Milan, Via Francesco Sforza 35, 20122 Milan, Italy.ORCID 0000-0003-3687-1126
Manuela Teresa RaimondiDepartment of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milan, Italy.ORCID 0000-0003-2585-7206
Simona BertoliObesity Unit-Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Via Ariosto 9, 20145 Milan, Italy.ORCID 0000-0001-5867-8074
Cristina CeredaGenomic and Post-Genomic Center, IRCCS Mondino Foundation, Via Mondino 2, 27100 Pavia, Italy.ORCID 0000-0001-9571-0862
Gian Vincenzo ZuccottiDepartment of Biomedical and Clinical Sciences "L. Sacco", School of Medicine, University of Milan, Via G.B. Grassi 74, 20157 Milan, Italy.ORCID 0000-0002-2795-9874
Raffaella CancelloObesity Unit-Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, IRCCS Istituto Auxologico Italiano, Via Ariosto 9, 20145 Milan, Italy.ORCID 0000-0002-8192-009X
Stephana CarelliDepartment of Biomedical and Clinical Sciences "L. Sacco", School of Medicine, University of Milan, Via G.B. Grassi 74, 20157 Milan, Italy.ORCID 0000-0003-4603-396X
University of Milan · ITPolitecnico di Milano · ITIRCCS Istituto Auxologico Italiano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a multifactorial disease presenting sex-related differences including adipocyte functions, sex hormone effects, genetics, and metabolic inflammation. These can influence individuals' risk for metabolic dysfunctions, with an urgent need to perform sex-based analysis to improve prevention, treatment, and rehabilitation programs. This research work is aimed at characterizing the transcriptional differences present in subcutaneous adipose tissue (SAT) of five obesity affected men versus five obesity affected women, with an additional focus on the role of long non-coding RNAs. Through RNA-sequencing, we highlighted the presence of both coding and non-coding differentially expressed RNAs, and with numerous computational analyses we identified the processes in which these genes are implicated, along with their role in co-morbidities development. We report 51 differentially expressed transcripts, 32 of which were coding genes and 19 were non-coding. Using the WGCNA R package (Weighted Correlation Network Analysis, version 1.70-3), we describe the interactions between coding and non-coding RNAs, and the non-coding RNAs association with the insurgence of specific diseases, such as cancer development, neurodegenerative diseases, and schizophrenia. In conclusion, our work highlights a specific gender sex-related transcriptional signature in the SAT of obesity affected patients.

Indexed as

bioinformaticscomputational predictiongender differencesgene expressionlncRNAsmetabolic diseasesobesityRNA-seqsextranscriptome

Identifiers

PMID33924951
PMCPMC8145808
OpenAlexW3158043832

What Socratic 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 Socratic graph.