Evidence map›Paper›PMID 38732001›Full record

ArticleInternational journal of molecular sciences2024

SIRT1 Serum Concentrations in Lipodystrophic Syndromes.

Luisa Salvatori, Silvia Magno, Giovanni Ceccarini, Rossella Tozzi, Savina Contini, Caterina Pelosini, Ferruccio Santini, Lucio Gnessi, Stefania Mariani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. The Sirtuin Network: Linking NADDiabetes/metabolism research and reviews · 2026
    Review
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

9 authors.

Luisa SalvatoriInstitute of Molecular Biology and Pathology, National Research Council (CNR), c/o Sapienza University of Rome, 00185 Rome, Italy.
Silvia MagnoObesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-8705-6554
Giovanni CeccariniObesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, 56124 Pisa, Italy.ORCID 0000-0003-0701-642X
Rossella TozziDepartment of Molecular Medicine, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-3358-4204
Savina ContiniDepartment of Experimental Medicine, Section of Medical Physiopathology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy.
Caterina PelosiniChemistry and Endocrinology Laboratory, University Hospital of Pisa, 56124 Pisa, Italy.
Ferruccio SantiniObesity and Lipodystrophy Center, Endocrinology Unit, University Hospital of Pisa, 56124 Pisa, Italy.ORCID 0000-0002-1706-0822
Lucio GnessiDepartment of Experimental Medicine, Section of Medical Physiopathology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy.
Stefania MarianiDepartment of Experimental Medicine, Section of Medical Physiopathology, Food Science and Endocrinology, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0003-1762-4701

Funding

Italian Ministry of University and Research Grants PRIN 2020NCKXBRSapienza University of Rome Ricerca di Ateneo, RM122181681F2246
6 · The paper itself

Abstract

Lipodystrophies (LDs) are rare, complex disorders of the adipose tissue characterized by selective fat loss, altered adipokine profile and metabolic impairment. Sirtuins (SIRTs) are class III NAD

Indexed as

LipodystrophySirtuin 1Adipose TissueAdolescentAdultAnorexia NervosaFemaleHumansMaleMiddle AgedObesityYoung AdultSIRT1 protein, humanSirtuin 1adipokinesadipose tissuelipodystrophySIRT1

Identifiers

PMID38732001
PMCPMC11084952

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.