Evidence map›Paper›PMID 35408847›Full record

ArticleInternational journal of molecular sciences2022

miRNA Expression Profiling in Subcutaneous Adipose Tissue of Monozygotic Twins Discordant for HIV Infection: Validation of Differentially Expressed miRNA and Bioinformatic Analysis.

Elena Bresciani, Nicola Squillace, Valentina Orsini, Roberta Piolini, Laura Rizzi, Laura Molteni, Ramona Meanti, Alessandro Soria, Giuseppe Lapadula, Alessandra Bandera and 5 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. The miRNomics of antiretroviral therapy-induced obesity.Functional & integrative genomics · 2025
    Review
  3. 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

15 authors at 4 institutions in 2 countries.

Elena BrescianiSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0002-8247-276X
Nicola SquillaceInfectious Diseases Unit, Azienda Socio Sanitaria Territoriale di Monza, San Gerardo Hospital, 20900 Monza, Italy.
Valentina OrsiniInfectious Diseases Unit, Azienda Socio Sanitaria Territoriale di Monza, San Gerardo Hospital, 20900 Monza, Italy.
Roberta PioliniDepartment of Clinical Sciences L. Sacco, Infectious and Tropical Diseases Section, University of Milano, 20157 Milano, Italy.
Laura RizziSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0002-3709-6574
Laura MolteniSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-0510-9083
Ramona MeantiSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0002-9734-1025
Alessandro SoriaInfectious Diseases Unit, Azienda Socio Sanitaria Territoriale di Monza, San Gerardo Hospital, 20900 Monza, Italy.
Giuseppe LapadulaSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
Alessandra BanderaClinic of Infectious Diseases, IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano Foundation, 20122 Milan, Italy.
Andrea GoriClinic of Infectious Diseases, IRCCS Ca' Granda Ospedale Maggiore Policlinico di Milano Foundation, 20122 Milan, Italy.ORCID 0000-0001-6587-4794
Paolo BonfantiSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0001-7289-8823
Robert John OmeljaniukDepartment of Biology, Lakehead University, Thunder Bay, ON P7B 5E1, Canada.
Vittorio LocatelliSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
Antonio TorselloSchool of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.ORCID 0000-0003-4557-676X
University of Milano-Bicocca · ITAzienda Ospedaliera San Gerardo · ITUniversity of Milan · ITLakehead University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combined AntiRetroviral Treatments (cARTs) used for HIV infection may result in varied metabolic complications, which in some cases, may be related to patient genetic factors, particularly microRNAs. The use of monozygotic twins, differing only for HIV infection, presents a unique and powerful model for the controlled analysis of potential alterations of miRNAs regulation consequent to cART treatment. Profiling of 2578 mature miRNA in the subcutaneous (SC) adipose tissue and plasma of monozygotic twins was investigated by the GeneChip® miRNA 4.1 array. Real-time PCR and ddPCR experiments were performed in order to validate differentially expressed miRNAs. Target genes of deregulated miRNAs were predicted by the miRDB database (prediction score > 70) and enrichment analysis was carried out with g:Profiler. Processes in SC adipose tissue most greatly affected by miRNA up-regulation included (i) macromolecular metabolic processes, (ii) regulation of neurogenesis, and (iii) protein phosphorylation. Furthermore, KEGG analysis revealed miRNA up-regulation involvement in (i) insulin signaling pathways, (ii) neurotrophin signaling pathways, and (iii) pancreatic cancer. By contrast, miRNA up-regulation in plasma was involved in (i) melanoma, (ii) p53 signaling pathways, and (iii) focal adhesion. Our findings suggest a mechanism that may increase the predisposition of HIV+ patients to insulin resistance and cancer.

Indexed as

HIV InfectionsMicroRNAsComputational BiologyGene Expression ProfilingHumansSubcutaneous FatTwins, MonozygoticMicroRNAscombined highly antiretroviral therapy (cART)HALS (HIV-associate lypodistrophy syndrome)metabolic disordersmiRNA

Identifiers

PMID35408847
PMCPMC8998861
OpenAlexW4220713279

What OpenQuestion holds

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LicenceCC BY
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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.