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

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          Abstract

          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 1α, 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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          Oscillospira and related bacteria - From metagenomic species to metabolic features.

          Oscillospira is an under-studied anaerobic bacterial genus from Clostridial cluster IV that has resisted cultivation for over a century since the first time it was observed. In recent years its 16S rRNA gene was identified in several human gut microbiota studies where it was often associated with interesting traits, especially leanness. However, very little is known about its metabolism or physiology. Here we used nearly complete genomes derived from shot-gun metagenomic data from the human gut to analyze Oscillospira and related bacteria. We used sequence similarity, gene neighbourhood information and manual metabolic pathway curation to decipher key metabolic features of this intriguing bacterial genus. We infer that Oscillospira species are butyrate producers, and at least some of them have the ability to utilize glucuronate, a common animal-derived sugar that is both produced by the human host and consumed by that host in diets rich in animal products. These findings could help explain diet-related inter-individual variation in faecal Oscillospira levels as well as the observation that the presence of this genus is reduced in diseases that involve inflammation.
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            Gut Microbiota Contribute to Age-Related Changes in Skeletal Muscle Size, Composition, and Function: Biological Basis for a Gut-Muscle Axis

            Skeletal muscle is a highly plastic tissue that plays a central role in human health and disease. Aging is associated with a decrease in muscle mass and function (sarcopenia) that is associated with a loss of independence and reduced quality of life. Gut microbiota, the bacteria, archaea, viruses, and eukaryotic microbes residing in the gastrointestinal tract are emerging as a potential contributor to age-associated muscle decline. Specifically, advancing age is characterized by a dysbiosis of gut microbiota that is associated with increased intestinal permeability, facilitating the passage of endotoxin and other microbial products (e.g., indoxyl sulfate) into the circulation. Upon entering the circulation, LPS and other microbial factors promote inflammatory signaling and skeletal muscle changes that are hallmarks of the aging muscle phenotype. This review will summarize existing literature suggesting cross-talk between gut microbiota and skeletal muscle health, with emphasis on the significance of this axis for mediating changes in aging skeletal muscle size, composition, and function.
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              Gut Microbiota, Muscle Mass and Function in Aging: A Focus on Physical Frailty and Sarcopenia

              Human gut microbiota is able to influence the host physiology by regulating multiple processes, including nutrient absorption, inflammation, oxidative stress, immune function, and anabolic balance. Aging is associated with reduced microbiota biodiversity, increased inter-individual variability, and over-representation of pathobionts, and these phenomena may have great relevance for skeletal muscle mass and function. For this reason, the presence of a gut-muscle axis regulating the onset and progression of age-related physical frailty and sarcopenia has been recently hypothesized. In this narrative review, we summarize the studies supporting a possible association between gut microbiota-related parameters with measures of muscle mass, muscle function, and physical performance in animal models and humans. Reduced muscle mass has been associated with distinct microbiota composition and reduced fermentative capacity in mice, and the administration of probiotics or butyrate to mouse models of muscle wasting has been associated with improved muscle mass. However, no studies have targeted the human microbiome associated with sarcopenia. Limited evidence from human studies shows an association between microbiota composition, involving key taxa such as Faecalibacterium and Bifidobacterium, and grip strength. Similarly, few studies conducted on patients with parkinsonism showed a trend towards a different microbiota composition in those with reduced gait speed. No studies have assessed the association of fecal microbiota with other measures of physical performance. However, several studies, mainly with a cross-sectional design, suggest an association between microbiota composition and frailty, mostly assessed according to the deficit accumulation model. Namely, frailty was associated with reduced microbiota biodiversity, and lower representation of butyrate-producing bacteria. Therefore, we conclude that the causal link between microbiota and physical fitness is still uncertain due to the lack of targeted studies and the influence of a large number of covariates, including diet, exercise, multimorbidity, and polypharmacy, on both microbiota composition and physical function in older age. However, the relationship between gut microbiota and physical function remains a very promising area of research for the future.

                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                26 December 2019
                January 2020
                : 12
                : 1
                : 65
                Affiliations
                [1 ]Institute of Internal Medicine and Geriatrics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; anna.picca1@ 123456gmail.com (A.P.); jacopo.gervasoni@ 123456policlinicogemelli.it (J.G.); aniello.primiano@ 123456unicatt.it (A.P.); antonio.gasbarrini@ 123456unicatt.it (A.G.); francesco.landi@ 123456unicatt.it (F.L.); emanuele.marzetti@ 123456policlinicogemelli.it (E.M.)
                [2 ]Fondazione Policlinico Universitario “Agostino Gemelli” IRCCS, 00168 Rome, Italy; francesca.ponziani@ 123456gmail.com
                [3 ]Department of Chemistry, Sapienza Università di Roma, 00185 Rome, Italy; federico.marini@ 123456uniroma1.it (F.M.); alessandra.biancolillo@ 123456univaq.it (A.B.)
                [4 ]Department of Physical and Chemical Sciences, University of L’Aquila, 67100 Coppito, Italy
                [5 ]Applied Kinesiology Laboratory–LCA, School of Physical Education, University of Campinas, 13.083-851 Campinas-SP, Brazil; coelhojunior@ 123456hotmail.com.br
                [6 ]Unit of Parasitology and Unit of Human Microbiome, Bambino Gesù Children’s Hospital IRCCS, 00168 Rome, Italy; lorenza.putignani@ 123456opbg.net
                [7 ]Unit of Human Microbiome, Bambino Gesù Children’s Hospital IRCCS, 00168 Rome, Italy; federica.delchierico@ 123456opbg.net (F.D.C.); sofia.reddel@ 123456opbg.net (S.R.)
                Author notes
                [* ]Correspondence: riccardo.calvani@ 123456gmail.com (R.C.); roberto.bernabei@ 123456unicatt.it (R.B.); Tel.: +39-(06)-3015-5559 (R.C.); +39-(06)-3015-4859 (R.B.); Fax: +39-(06)-3051-911 (R.C. & R.B.)
                Author information
                https://orcid.org/0000-0001-7032-3487
                https://orcid.org/0000-0002-5924-6238
                https://orcid.org/0000-0001-5472-2365
                https://orcid.org/0000-0001-8266-1117
                https://orcid.org/0000-0001-7482-9514
                https://orcid.org/0000-0003-0134-2830
                https://orcid.org/0000-0002-4204-4736
                https://orcid.org/0000-0001-9567-6983
                Article
                nutrients-12-00065
                10.3390/nu12010065
                7019826
                31887978
                26df766e-79b7-41f6-ac11-b50e5833d375
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 30 November 2019
                : 23 December 2019
                Categories
                Article

                Nutrition & Dietetics
                aging,muscle,amino acids,metabolism,systemic inflammation,profiling,biomarkers,multi-marker,physical performance,gut microbiota

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