Evidence map›Paper›PMID 32488674›Full record

ArticleGeroScience2021

Identification of biomarkers for physical frailty and sarcopenia through a new multi-marker approach: results from the BIOSPHERE study.

Riccardo Calvani, Anna Picca, Federico Marini, Alessandra Biancolillo, Jacopo Gervasoni, Silvia Persichilli, Aniello Primiano, Hélio J Coelho-Junior, Matteo Cesari, Maurizio Bossola and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in GeroScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
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  13. Mitochondrial pathways and sarcopenia in the geroscience era.The journal of nutrition, health & aging · 2024
    Review
  14. Article
  15. Article
  16. Exploring the metabolomics profile of frailty- a systematic review.Journal of diabetes and metabolic disorders · 2024
    Review
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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

15 authors at 4 institutions in 2 countries.

Riccardo CalvaniFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0001-5472-2365
Anna PiccaFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy. anna.picca@guest.policlinicogemelli.it.ORCID https://orcid.org/0000-0001-7032-3487
Federico MariniDepartment of Chemistry, Sapienza Università di Roma, Rome, Italy.ORCID https://orcid.org/0000-0001-8266-1117
Alessandra BiancolilloDepartment of Chemistry, Sapienza Università di Roma, Rome, Italy.ORCID https://orcid.org/0000-0002-9461-9597
Jacopo GervasoniFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0002-3600-392X
Silvia PersichilliFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0002-7955-8810
Aniello PrimianoUniversità Cattolica del Sacro Cuore, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0001-9415-9175
Hélio J Coelho-JuniorUniversità Cattolica del Sacro Cuore, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0001-7482-9514
Matteo CesariDepartment of Clinical Sciences and Community Health, Università di Milano, Milan, Italy.ORCID https://orcid.org/0000-0002-0348-3664
Maurizio BossolaFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0003-1627-0235
Andrea UrbaniFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0001-9168-3174
Graziano OnderDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy.ORCID https://orcid.org/0000-0003-3400-4491
Francesco LandiFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0002-3472-1389
Roberto BernabeiFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy. roberto.bernabei@unicatt.it.ORCID https://orcid.org/0000-0002-9197-004X
Emanuele MarzettiFondazione Policlinico Universitario ''Agostino Gemelli'' IRCCS, L.go F. Vito 1, 00168, Rome, Italy.ORCID https://orcid.org/0000-0001-9567-6983
Università Cattolica del Sacro Cuore · ITSapienza University of Rome · ITIstituto Superiore di Sanità · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical frailty and sarcopenia (PF&S) is a prototypical geriatric condition characterized by reduced physical function and low muscle mass. The aim of the present study was to provide an initial selection of biomarkers for PF&S using a novel multivariate analytic strategy. Two-hundred community-dwellers, 100 with PF&S and 100 non-physically frail, non-sarcopenic (nonPF&S) controls aged 70 and older were enrolled as part of the BIOmarkers associated with Sarcopenia and Physical frailty in EldeRly pErsons (BIOSPHERE) study. A panel of 74 serum analytes involved in inflammation, muscle growth and remodeling, neuromuscular junction damage, and amino acid metabolism was assayed. Biomarker selection was accomplished through sequential and orthogonalized covariance selection (SO-CovSel) analysis. Separate SO-CovSel models were constructed for the whole study population and for the two genders. The model with the best prediction ability obtained with the smallest number of variables was built using seven biomolecules. This model allowed correct classification of 80.6 ± 5.3% PF&S participants and 79.9 ± 5.1% nonPF&S controls. The PF&S biomarker profile was characterized by higher serum levels of asparagine, aspartic acid, and citrulline. Higher serum concentrations of platelet-derived growth factor BB, heat shock protein 72 (Hsp72), myeloperoxidase, and α-aminobutyric acid defined the profile of nonPF&S participants. Gender-specific SO-CovSel models identified a "core" biomarker profile of PF&S, characterized by higher serum levels of aspartic acid and Hsp72 and lower concentrations of macrophage inflammatory protein 1β, with peculiar signatures in men and women.SO-CovSel analysis allowed identifying a set of potential biomarkers for PF&S. The adoption of such an innovative multivariate approach could help address the complex pathophysiology of PF&S, translate biomarker discovery from bench to bedside, and unveil novel targets for interventions.

Indexed as

FrailtySarcopeniaAgedAged, 80 and overBiomarkersFemaleFrail ElderlyHumansInflammationMaleBiomarkersAmino acidsCytokinesGeroscienceInflammationMultivariateMuscle

Identifiers

PMID32488674
PMCPMC8110636
OpenAlexW3029970066

What OpenQuestion holds

Textmetadata
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.