Nutritional Strategies for Recovery-Adaptation Coupling After Exercise: From Muscle Damage to Performance Remodeling.

Dan Cristian Mănescu, Giuseppe Cerullo, Cristian Petri, Costin Petcu, Radu Bidiugan, Andreea Voinea, Simona Bidiugan, Alexandra Reta Iacobini, Andrei Dragomir, Alexandru Adrian Gavrilă, Răzvan Alexandrescu, Cristian Băltărețu, Răzvan Liviu Petre

Journal: Nutrients 2026;18(15):

PMID: 42588146

Abstract

Background/Objectives: Recovery nutrition must restore near-term readiness without indiscriminately suppressing biological signals that contribute to repair and training adaptation. This review evaluates recovery-adaptation coupling (RAC) as a research framework and clarifies its contribution relative to established recovery, nutrient-periodization, and athlete-monitoring models. Methods: Targeted narrative searches of PubMed/MEDLINE, Scopus, and Web of Science were supplemented by Google Scholar citation tracking and backward and forward screening. Peer-reviewed English-language literature available through 31 May 2026 was considered. Human athlete studies, randomized trials, systematic reviews, meta-analyses, consensus statements, and position stands were prioritized; mechanistic evidence was used to explain pathways rather than to support stand-alone performance recommendations. The final cited corpus comprised 130 records. No formal risk-of-bias tool, certainty grading, PRISMA denominator, or quantitative pooling was used. Claims were instead identified as established practice (EP), context-dependent evidence (CDE), mechanistic rationale (MR), or RAC hypothesis (RH). Results: The most consistent applied support concerns adequate energy availability, distributed high-quality protein, carbohydrate restoration when recovery windows are short, and individualized fluid and sodium replacement. Evidence for polyphenol-rich products, curcumin, omega-3 fatty acids, and creatine is context- and product-dependent. Collagen or gelatin evidence is mainly mechanistic or pilot-level, while RAC recovery-pattern categories and multimodal monitoring rules remain unvalidated hypotheses. RAC differs from existing frameworks by jointly specifying the next athletic demand, dominant recovery bottleneck, possible adaptive cost of intervention, and response-verification plan. Conclusions: RAC should presently be interpreted as an evidence-organization and hypothesis-generation architecture, not as a validated predictive, diagnostic, or treatment algorithm. Prospective comparative studies are required before RAC-specific decision rules can guide individualized practice.

Address: Department of Physical Education and Sport, Bucharest University of Economic Sciences, 010374 Bucharest, Romania.; Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy.; Department of Sports and Computer Science, Section of Physical Education and Sports, Universidad Pablo de Olavide, 41013 Seville, Spain.; Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.; National Institute for Sport Research, 022103 Bucharest, Romania.; Department of Physical Education and Sports, Faculty of Physical Education and Sport, Spiru Haret University, 030045 Bucharest, Romania.; Department of Management Information Systems, Bucharest University of Economic Studies, 010374 Bucharest, Romania.; Faculty of Physical Education and Sports, National University of Physical Education and Sports, 060057 Bucharest, Romania.; Faculty of Physical Education and Sports, National University of Physical Education and Sports, 060057 Bucharest, Romania.; Romanian Bodybuilding and Fitness Federation (FRCF), 030167 Bucharest, Romania.
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