» Articles » PMID: 37532926

Muscle Quality, Physical Performance, and Comorbidity Are Predicted by Circulating Procollagen Type III N-terminal Peptide (P3NP): the InCHIANTI Follow-up Study

Overview
Journal Geroscience
Specialty Geriatrics
Date 2023 Aug 2
PMID 37532926
Authors
Affiliations
Soon will be listed here.
Abstract

Sarcopenia is characterized by skeletal muscle quantitative and qualitative alterations. A marker of collagen turnover, procollagen type III N-terminal peptide (P3NP), seems to be related to those conditions. This study aims to assess the predictive role of P3NP in muscle density and physical performance changes. In the InCHIANTI study, a representative sample from the registry lists of two towns in Tuscany, Italy, was recruited. Baseline data was collected in 1998, and follow-up visits were conducted every 3 years. Out of the 1453 participants enrolled at baseline, this study includes 1052 participants. According to P3NP median levels, population was clustered in two groups; 544 (51.7%) of the 1052 subjects included were classified in the low median levels (LM-P3NP); at the baseline, they were younger, had higher muscle density, and performed better at the Short Physical Performance Battery (SPPB), compared to the high-median group (HM-P3NP).LM-P3NP cases showed a lower risk to develop liver chronic diseases, CHF, myocardial infarction, and osteoarthritis. HM-P3NP levels were associated with a longitudinal reduction of muscle density, and this effect was potentiated by the interaction between P3NP and leptin. Moreover, variation in physical performance was inversely associated with high level of P3NP, and directly associated with high fat mass, and with the interaction between P3NP and muscle density. Our data indicate that P3NP is associated with the aging process, affecting body composition, physical performance, and clinical manifestations of chronic degenerative age-related diseases.

Citing Articles

Diabetes Mellitus Should Be Considered While Analysing Sarcopenia-Related Biomarkers.

Rentflejsz J, Wojszel Z J Clin Med. 2024; 13(4).

PMID: 38398421 PMC: 10889814. DOI: 10.3390/jcm13041107.

References
1.
Frasca D, Blomberg B, Paganelli R . Aging, Obesity, and Inflammatory Age-Related Diseases. Front Immunol. 2017; 8:1745. PMC: 5725402. DOI: 10.3389/fimmu.2017.01745. View

2.
Eshima H . Influence of Obesity and Type 2 Diabetes on Calcium Handling by Skeletal Muscle: Spotlight on the Sarcoplasmic Reticulum and Mitochondria. Front Physiol. 2021; 12:758316. PMC: 8592904. DOI: 10.3389/fphys.2021.758316. View

3.
Wang M, Monticone R, McGraw K . Proinflammation, profibrosis, and arterial aging. Aging Med (Milton). 2020; 3(3):159-168. PMC: 7574637. DOI: 10.1002/agm2.12099. View

4.
Sinanan A, Buxton P, Lewis M . Muscling in on stem cells. Biol Cell. 2006; 98(4):203-14. DOI: 10.1042/BC20050050. View

5.
Lopez B, Gonzalez A, Diez J . Circulating biomarkers of collagen metabolism in cardiac diseases. Circulation. 2010; 121(14):1645-54. DOI: 10.1161/CIRCULATIONAHA.109.912774. View