Impact of a high-protein diet with and without strength training over 17 weeks on the plasma metabolome in older adults.
Background Age-associated loss of skeletal muscle mass impairs metabolic health, increases disease risk and diminishes response to therapeutic interventions. Optimising dietary protein intake combined with resistance training has been proposed as an effective strategy to preserve muscle mass in olde...
| Publicado en: | Age & Ageing Vol. 55; no. 2; pp. 1 - 17 |
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| Autores principales: | , , , , , , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=192513139&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 192513139 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Feb2026 vid: 55 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 192513139 10.1093/ageing/afag010 ppf: 1 ppct: 16 formats: tig: atl: Impact of a high-protein diet with and without strength training over 17 weeks on the plasma metabolome in older adults. aug: au: Spahits, Hannah Unterberger, Sandra Aschauer, Rudolf Zöhrer, Patrick Alexander Draxler, Agnes Franzke, Bernhard Strasser, Eva-Maria Wessner, Barbara Wagner, Karl-Heinz Tahir, Ammar affil: Department of Nutritional Sciences, University of Vienna, Vienna, AustriaVienna Doctoral School for Pharmaceutical, Nutritional and Sport Sciences, University of Vienna, Vienna, Austria Centre for Sport Science and University Sports, University of Vienna, Vienna, Austria Vienna Doctoral School for Pharmaceutical, Nutritional and Sport Sciences, University of Vienna, Vienna, AustriaCentre for Sport Science and University Sports, University of Vienna, Vienna, Austria Department of Nutritional Sciences, University of Vienna, Vienna, AustriaDepartment of Health Sciences, University of Applied Sciences Campus Vienna, Vienna, Austria Research Center Health Sciences, University of Applied Sciences Campus Vienna, Vienna, Austria Institute of Physical Medicine and Rehabilitation, Klinik Favoriten, Vienna, Austria Centre for Sport Science and University Sports, University of Vienna, Vienna, AustriaResearch Platform Active Ageing, University of Vienna, Vienna, Austria Department of Nutritional Sciences, University of Vienna, Vienna, AustriaResearch Platform Active Ageing, University of Vienna, Vienna, Austria Department of Health Sciences, Section of Biomedical Sciences, University of Applied Sciences Campus Vienna, Vienna, Austria su: Food consumption Randomized controlled trials Analysis of variance Anthropometry Old age Amino acid metabolism Lipid metabolism Skeletal muscle physiology Protein metabolism Blood High performance liquid chromatography Repeated measures design Computer software Data analysis Creatinine Research funding Statistical sampling Blood collection Body composition Two-way analysis of variance Lipids Bioelectric impedance Bilirubin Resistance training Energy metabolism Metabolites Urea Mass spectrometry Statistics One-way analysis of variance Metabolism Uric acid Dietary proteins Metabolomics Food diaries Data analysis software Calibration Lactic acid Confidence intervals Muscles Discriminant analysis Evaluation sug: subj: Food consumption Randomized controlled trials Analysis of variance Anthropometry Old age Computer and software stores Computer and Computer Peripheral Equipment and Software Merchant Wholesalers Computer, computer peripheral and pre-packaged software merchant wholesalers Software publishers (except video game publishers) Other basic organic chemical manufacturing All Other Basic Organic Chemical Manufacturing Marketing Research and Public Opinion Polling Chemical fertilizer (except potash) manufacturing Amino acid metabolism Lipid metabolism Skeletal muscle physiology Protein metabolism Blood High performance liquid chromatography Repeated measures design Computer software Data analysis Creatinine Research funding Statistical sampling Blood collection Body composition Two-way analysis of variance Lipids Bioelectric impedance Bilirubin Resistance training Energy metabolism Metabolites Urea Mass spectrometry Statistics One-way analysis of variance Metabolism Uric acid Dietary proteins Metabolomics Food diaries Data analysis software Calibration Lactic acid Confidence intervals Muscles Discriminant analysis Evaluation keyword: ageing amino acid metabolism copyrightHolder:British Geriatrics Society copyrightYear:2026 diet dietary proteins high-protein diet https://dx.doi.org/10.1093/ageing/afag010 inLanguage:en lipids metabolic pathways metabolites metabolome metabolomics older adult older people plasma protein intervention publisher:Oxford University Press resistance training safety sameAs:https://pubmed.ncbi.nlm.nih.gov/41638233/ skeletal muscles strength training ageing amino acid metabolism copyrightHolder:British Geriatrics Society copyrightYear:2026 diet dietary proteins high-protein diet https://dx.doi.org/10.1093/ageing/afag010 inLanguage:en lipids metabolic pathways metabolites metabolome metabolomics older adult older people plasma protein intervention publisher:Oxford University Press resistance training safety sameAs:https://pubmed.ncbi.nlm.nih.gov/41638233/ skeletal muscles strength training ab: Background Age-associated loss of skeletal muscle mass impairs metabolic health, increases disease risk and diminishes response to therapeutic interventions. Optimising dietary protein intake combined with resistance training has been proposed as an effective strategy to preserve muscle mass in older adults. While the clinical benefits of such lifestyle interventions are known, the long-term metabolic safety and precise systemic changes at the metabolome level in older adults remain uncharacterised. Methods In the NutriAging Protein study, 136 men and women aged 65–85 years were randomised into three groups: control, recommended-protein and high-protein groups. Participants underwent a 17-week intervention, combining a 6-week dietary intervention followed by 8 weeks of supervised resistance training in the high-protein and recommended-protein groups. Plasma samples were collected at baseline, Week 8 and Week 17. An untargeted metabolomics approach based on ultra-high-performance liquid chromatography–mass spectrometry was employed to characterise systemic metabolic alterations across interventions. Results The high-protein group increased their daily protein intake to 1.6 g/kg body weight and exhibited significantly increased concentrations of two metabolites and reduced concentrations of 98 metabolites compared to baseline. Most metabolite shifts occurred during the dietary intervention phase, with minimal additional changes after resistance training. Affected metabolites belonged primarily to lipid subclasses, energy and amino acid metabolism intermediates, and pathways linked to heme degradation and the urea cycle. Conclusion A high-protein diet, alone or combined with resistance training, induces modest but measurable metabolic shifts without disrupting global metabolic homeostasis. These findings suggest that older adults can adapt to elevated protein intake while maintaining metabolic stability, supporting the metabolic safety of a high-protein diet in combination with resistance exercise. https://clinicaltrials.gov (NCT04023513). pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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