Gut Microbial, Inflammatory and Metabolic Signatures in Older People with Physical Frailty and Sarcopenia: Results from the BIOSPHERE Study

被引:126
作者
Picca, Anna [1 ,2 ]
Ponziani, Francesca Romana [2 ]
Calvani, Riccardo [1 ,2 ]
Marini, Federico [3 ]
Biancolillo, Alessandra [3 ,4 ]
Coelho-Junior, Helio Jose [5 ]
Gervasoni, Jacopo [1 ,2 ]
Primiano, Aniello [1 ,2 ]
Putignani, Lorenza [6 ]
Del Chierico, Federica [7 ]
Reddel, Sofia [7 ]
Gasbarrini, Antonio [1 ,2 ]
Landi, Francesco [1 ,2 ]
Bernabei, Roberto [1 ,2 ]
Marzetti, Emanuele [1 ,2 ]
机构
[1] Univ Cattolica Sacro Cuore, Inst Internal Med & Geriatr, I-00168 Rome, Italy
[2] Fdn Policlin Univ Agostino Gemelli IRCC, I-00168 Rome, Italy
[3] Sapienza Univ Roma, Dept Chem, I-00185 Rome, Italy
[4] Univ Aquila, Dept Phys & Chem Sci, I-67100 Coppito, Italy
[5] Univ Estadual Campinas, Sch Phys Educ, Appl Kinesiol Lab LCA, BR-13083851 Campinas, SP, Brazil
[6] Bambino Gesu Childrens Hosp IRCCS, Unit Parasitol, I-00168 Rome, Italy
[7] Bambino Gesu Childrens Hosp IRCCS, Unit Human Microbiome, I-00168 Rome, Italy
关键词
aging; muscle; amino acids; metabolism; systemic inflammation; profiling; biomarkers; multi-marker; physical performance; gut microbiota; SKELETAL-MUSCLE; PROTEIN; MORTALITY; STRENGTH; HEALTH; AGE; OSCILLOSPIRA; ASSOCIATION; PERFORMANCE; DISABILITY;
D O I
10.3390/nu12010065
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Physical frailty and sarcopenia (PF&S) share multisystem derangements, including variations in circulating amino acids and chronic low-grade inflammation. Gut microbiota balances inflammatory responses in several conditions and according to nutritional status. Therefore, an altered gut-muscle crosstalk has been hypothesized in PF&S. We analyzed the gut microbial taxa, systemic inflammation, and metabolic characteristics of older adults with and without PF&S. An innovative multi-marker analytical approach was applied to explore the classification performance of potential biomarkers for PF&S. Thirty-five community dwellers aged 70+, 18 with PF&S, and 17 nonPF&S controls were enrolled. Sequential and Orthogonalized Covariance Selection (SO-CovSel), a multi-platform regression method developed to handle highly correlated variables, was applied. The SO-CovSel model with the best prediction ability using the smallest number of variables was built using seven mediators. The model correctly classified 91.7% participants with PF&S and 87.5% nonPF&S controls. Compared with the latter group, PF&S participants showed higher serum concentrations of aspartic acid, lower circulating levels of concentrations of threonine and macrophage inflammatory protein 1 alpha, increased abundance of Oscillospira and Ruminococcus microbial taxa, and decreased abundance of Barnesiellaceae and Christensenellaceae. Future investigations are warranted to determine whether these biomediators are involved in PF&S pathophysiology and may, therefore, provide new targets for interventions.
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页数:15
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