Evidence map›Paper›PMID 35706042›Full record

ReviewBiology of sex differences2022

Sex differences in the human metabolome.

Michele Costanzo, Marianna Caterino, Giovanni Sotgiu, Margherita Ruoppolo, Flavia Franconi, Ilaria Campesi

Open access · goldAbstract readReview
In one paragraph

Review in Biology of sex differences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers.

0numbers the graph read from it
0cells of the map it votes in
101citing papers in PubMed
25.9field-weighted citation impact, top 1% 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

101 citing papers in PubMed, 134 citations in OpenAlex.

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  10. Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026
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  14. Beyond XX and XY, Understanding Sex Differences in Leukemia.Medical sciences (Basel, Switzerland) · 2026
    Review
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41 more citing papers are in PubMed but not listed here.

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

6 authors at 3 institutions in 1 country.

Michele CostanzoDepartment of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, 80131, Naples, Italy. michele.costanzo@unina.it.ORCID 0000-0002-6386-2009
Marianna CaterinoDepartment of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, 80131, Naples, Italy.
Giovanni SotgiuClinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100, Sassari, Italy.
Margherita RuoppoloDepartment of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, 80131, Naples, Italy.
Flavia FranconiLaboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100, Sassari, Italy.
Ilaria CampesiLaboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100, Sassari, Italy.
Ceinge Biotecnologie Avanzate (Italy) · ITUniversity of Sassari · ITFederico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe sexual dimorphism represents one of the triggers of the metabolic disparities between the organisms, advising about wild implications in research or diagnostics contexts. Despite the mounting recognition of the importance of sex consideration in the biomedical fields, the identification of male- and female-specific metabolic signatures has not been achieved. MAIN BODY: This review pointed the focus on the metabolic differences related to the sex, evidenced by metabolomics studies performed on healthy populations, with the leading aim of understanding how the sex influences the baseline metabolome. The main shared signatures and the apparent dissimilarities between males and females were extracted and highlighted from the metabolome of the most commonly analyzed biological fluids, such as serum, plasma, and urine. Furthermore, the influence of age and the significant interactions between sex and age have been taken into account.

conclusionsThe recognition of sex patterns in human metabolomics has been defined in diverse biofluids. The detection of sex- and age-related differences in the metabolome of healthy individuals are helpful for translational applications from the bench to the bedside to set targeted diagnostic and prevention approaches in the context of personalized medicine.

Indexed as

MetabolomeSex CharacteristicsFemaleHumansMaleMetabolomicsAgeBiomarkersLiquid biopsyMetabolic signatureMetabolomicsSex differences

Identifiers

PMID35706042
PMCPMC9199320
OpenAlexW4282912891

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.