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	<title>muscle injury &#8211; Science</title>
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	<title>muscle injury &#8211; Science</title>
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		<title>Urine test reveals hidden chemical signature of muscle injuries in elite footballers</title>
		<link>https://scienmag.com/urine-test-reveals-hidden-chemical-signature-of-muscle-injuries-in-elite-footballers/</link>
		
		<dc:creator><![CDATA[Drew Townsend]]></dc:creator>
		<pubDate>Wed, 23 Sep 2026 23:45:06 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[advanced techniques for muscle injury assessment]]></category>
		<category><![CDATA[athlete monitoring]]></category>
		<category><![CDATA[early detection of muscle damage in professional football]]></category>
		<category><![CDATA[FC Barcelona]]></category>
		<category><![CDATA[football]]></category>
		<category><![CDATA[innovative approaches to injury prevention in sports]]></category>
		<category><![CDATA[metabolic biomarkers of muscle strain]]></category>
		<category><![CDATA[metabolite fingerprinting in sports medicine]]></category>
		<category><![CDATA[Metabolomics]]></category>
		<category><![CDATA[metabolomics analysis of athlete urine]]></category>
		<category><![CDATA[muscle injury]]></category>
		<category><![CDATA[non-invasive sports injury biomarkers]]></category>
		<category><![CDATA[personalized injury monitoring in football players]]></category>
		<category><![CDATA[PLS-DA]]></category>
		<category><![CDATA[purine metabolism]]></category>
		<category><![CDATA[rehabilitation]]></category>
		<category><![CDATA[role of urine analysis in athletic recovery]]></category>
		<category><![CDATA[sports medicine]]></category>
		<category><![CDATA[tryptophan metabolism]]></category>
		<category><![CDATA[UPLC-MS]]></category>
		<category><![CDATA[urine biomarkers]]></category>
		<category><![CDATA[Urine chemical signature for muscle injury detection in elite footballers]]></category>
		<category><![CDATA[urine-based diagnostics for sports health]]></category>
		<category><![CDATA[use of urine samples for real-time athlete health monitoring]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=211310</guid>

					<description><![CDATA[Researchers analyzing urine from 121 elite footballers identified a metabolomic signature of muscle injury, with a cross-validated AUROC of 0.88 and hints of metabolic recovery during rehabilitation.]]></description>
										<content:encoded><![CDATA[<p>For decades, the training grounds of professional football have been monitored through external metrics: kilometers covered, sprints completed, heart rates logged. But a team of researchers working with FC Barcelona&#8217;s medical department has now shown that a player&#8217;s own urine may tell a far more intimate story about what is happening inside damaged muscle fibers. In a study published in the journal Metabolomics, scientists analyzed 287 first-morning urine samples collected from 121 elite male football players across two consecutive seasons, and identified a reproducible chemical fingerprint that distinguishes players suffering muscle injuries from their healthy teammates. The work, led by Guillermo Quintás of the Leitat Technological Center together with FC Barcelona physicians including Gil Rodas and Ricard Pruna, offers a glimpse of a future in which a simple urine sample could complement GPS trackers and MRI scans in the high-stakes business of keeping athletes on the pitch.</p>
<p>The scale of the problem the researchers set out to address is substantial. Muscle injuries remain one of the leading causes of time lost from training and competition in professional football, and the biological response to a given training load is highly individual, shaped by a complex web of metabolic, inflammatory, and recovery processes. Current monitoring strategies rely predominantly on external load metrics derived from electronic performance tracking systems, which the authors argue do not fully capture the individual physiological stress and biological cost of training. Metabolomics, the systematic measurement of small molecules that represent the final products of cellular regulation, provides a downstream functional readout of physiology that integrates genomic, proteomic, and environmental influences. Because urine can be collected non-invasively and repeatedly, it is an attractive medium for tracking these processes in athletes who are tested constantly.</p>
<p>The study&#8217;s design reflected the realities of elite sport. Of the 287 samples, 30 were collected during ten clinically confirmed muscle injury and rehabilitation periods from ten distinct players, while the remaining 257 came from healthy periods and served as controls. Injuries were defined and recorded according to UEFA consensus recommendations, diagnosed by the same medical staff throughout, and supported by ultrasound and magnetic resonance imaging when clinically indicated. The injury set spanned the spectrum of lesions common in professional football, including grade 2b and 3c hamstring strains affecting the biceps femoris, semimembranosus, semitendinosus, and rectus femoris muscles. Samples were collected at a median of 22 days post-injury, with the majority drawn during early and late rehabilitation phases rather than the acute window.</p>
<p>On the analytical side, the team used targeted ultra-performance liquid chromatography coupled to tandem mass spectrometry to quantify amino acids and tryptophan-related metabolites. Absolute concentrations were normalized to creatinine to correct for urinary dilution, and tryptophan pathway metabolites were additionally normalized to tryptophan itself, yielding 71 metabolite ratios for statistical analysis. Quality control relied on calibration standards, procedural blanks, retention-time matching, and stable isotope-labeled internal standards added to every sample. Before any supervised modeling, principal component analysis confirmed that injury status was not the dominant source of variance in the dataset, an expected result given that injury-related perturbations are subtle against the broad physiological variability inherent to elite athletes. No analytical outliers or season-related batch effects were detected.</p>
<p>Despite that subtlety, univariate statistics combining Welch&#8217;s test, fold-change assessment, and Hedge&#8217;s g effect sizes revealed a coherent biochemical story. The most striking signals involved tryptophan metabolism: injured players showed substantially elevated levels of xanthurenic acid, kynurenic acid, and elevated tryptamine-to-tryptophan ratios, alongside higher S-adenosylmethionine. The kynurenine pathway, through which tryptophan is degraded, is strongly regulated by immune signaling and inflammatory mediators and has been widely implicated in exercise-induced adaptation, making its perturbation one of the most biologically relevant responses to muscle damage. Conversely, aminophenol, proline, ornithine, and lysine were reduced in the injury group, consistent with altered protein turnover as the body repools amino acids for tissue repair.</p>
<p>Two further metabolic themes emerged. The first involved purine degradation, particularly hypoxanthine, a well-established marker of energetic stress that accumulates when ATP is broken down faster than it can be regenerated. In the context of muscle injury, elevated hypoxanthine likely reflects both localized energy depletion within damaged fibers and the systemic metabolic cost of sustaining tissue repair. The second theme involved amino acids directly implicated in structural remodeling: proline and ornithine are closely linked to collagen synthesis and connective tissue repair, while elevated beta-aminoisobutyric acid, or BAIBA, has been associated with muscle stress adaptation and mitochondrial remodeling. Changes in alanine, glutamic acid, taurine, beta-alanine, and phenylacetylglutamine reinforced the picture of coordinated protein turnover. Pathway over-representation analysis using the KEGG database pointed to significant enrichment of amino acid metabolic pathways, particularly arginine and proline metabolism, although the authors caution that because the panel was targeted, this enrichment is exploratory rather than definitive mechanistic evidence.</p>
<p>The multivariate analysis was where the findings took on their most clinically suggestive form. Using partial least squares discriminant analysis with leave-one-out cross-validation and 300-fold permutation testing to guard against overfitting, the researchers built a model that separated injured from non-injured samples with a cross-validated area under the receiver operating characteristic curve of 0.88, correctly identifying 73 percent of injury samples and 88 percent of controls, with statistical significance at p less than 0.003. The most influential discriminant metabolites were BAIBA, hypoxanthine, xanthurenic acid, beta-alanine, and alanine, largely consistent with the univariate results. Backward stepwise feature selection then pared the model down to a restricted subset of metabolites that preserved an AUROC of 0.81, a simplification the authors highlight as important for translation, since small targeted panels are more analytically robust and easier to validate in routine clinical settings than full metabolomic profiles.</p>
<p>The team was careful to stress-test its own statistics. Because 30 injury samples came from only ten players, they repeated validation using a stricter leave-one-player-out scheme, under which performance dropped to an AUROC of 0.72. They attribute this decline to the severe class imbalance and the concentration of injury samples among few individuals, and they emphasize that independent player-level validation in larger cohorts is essential before any clinical deployment. The imbalance also shaped other performance metrics: the positive predictive value was a modest 41 percent, while the negative predictive value reached 97 percent, meaning the current score is far better at ruling out injury-related metabolic stress than confirming it. The authors also note that nutritional intake, acute workload, and medication, all of which can influence the urinary metabolome, were not recorded and represent potential confounders.</p>
<p>Perhaps the most visually compelling element of the study is the longitudinal perspective. For eight of the ten injured players, serial samples collected across rehabilitation allowed the researchers to track individual trajectories of a metabolite-based injury score. In a descriptive, exploratory assessment, these trajectories suggested progressive normalization of the metabolic profile during rehabilitation, approaching baseline values by the return-to-play milestone, and players who never sustained injuries showed baseline stability in the score. The study juxtaposes these chemical trajectories with serial 3-Tesla MRI examinations of a 24-year-old player who suffered a complete proximal hamstring aponeurosis tear, documenting the anatomical progression from acute edema and tendon retraction through scar bridging, maturation, and remodeling over eight weeks. The authors argue that macro-structural healing on MRI does not necessarily reflect the resolution of local energetic or systemic inflammatory stress, so mapping metabolomic trajectories against structural lesion evolution could, in principle, reveal whether cellular homeostasis has truly recovered even when imaging looks normal.</p>
<p>The researchers are measured about what their findings can and cannot support. Urinary profiles reflect systemic metabolic balance rather than local tissue remodeling, and the signatures cannot currently be used to guide return-to-play decisions. The observational design limits causal interpretation, and the single-center cohort restricts generalizability. Nevertheless, the demonstration that a coordinated, statistically robust metabolic signature of muscle injury can be captured non-invasively in urine marks a meaningful step toward complementing external load monitoring with an internal readout of biological stress. Future multicenter studies that integrate longitudinal metabolomics with structural imaging, biochemical markers, and clinical assessment will determine whether this multimodal approach adds clinically meaningful value, potentially transforming how the world&#8217;s most expensive athletes are monitored, rehabilitated, and returned to competition.</p>
<p><strong>Subject of Research:</strong> Urinary metabolomic biomarkers of muscle injury and recovery in professional football players</p>
<p><strong>Article Title:</strong> Urinary metabolomic signatures of muscle injury and recovery in elite football players</p>
<p><strong>Article References:</strong> Quintás, G., Pruna, R., Wong, M., Mechó, S., Madrero, P., Sanjuán-Herráez, J. D., &amp; Rodas, G. (2026). Urinary metabolomic signatures of muscle injury and recovery in elite football players. <em>Metabolomics, 22</em>(5), Article 158. <a href="https://doi.org/10.1007/s11306-026-02530-5" rel="noopener noreferrer">https://doi.org/10.1007/s11306-026-02530-5</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11306-026-02530-5" rel="noopener noreferrer">10.1007/s11306-026-02530-5</a></p>
<p><strong>Keywords:</strong> metabolomics, muscle injury, football, sports medicine, urine biomarkers, tryptophan metabolism, purine metabolism, PLS-DA, FC Barcelona, athlete monitoring, rehabilitation, UPLC-MS</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">211310</post-id>	</item>
		<item>
		<title>Exercise-Triggered Muscle Vesicles Loaded With Lipids Speed Injury Recovery</title>
		<link>https://scienmag.com/exercise-triggered-muscle-vesicles-loaded-with-lipids-speed-injury-recovery/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 14:03:09 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[AMPK signalling]]></category>
		<category><![CDATA[and the potential for developing targeted therapies based on vesicle-mediated molecular signaling.]]></category>
		<category><![CDATA[concentric exercise]]></category>
		<category><![CDATA[eccentric exercise]]></category>
		<category><![CDATA[extracellular vesicles]]></category>
		<category><![CDATA[highlighting the importance of extracellular vesicles in muscle regeneration]]></category>
		<category><![CDATA[lipid metabolites]]></category>
		<category><![CDATA[Metabolomics]]></category>
		<category><![CDATA[muscle injury]]></category>
		<category><![CDATA[muscle injury model]]></category>
		<category><![CDATA[myoblast differentiation]]></category>
		<category><![CDATA[myokines]]></category>
		<category><![CDATA[rehabilitation]]></category>
		<category><![CDATA[satellite cells]]></category>
		<category><![CDATA[skeletal muscle regeneration]]></category>
		<category><![CDATA[suggests that exercise-triggered muscle vesicles loaded with lipids play a crucial role in speeding up injury recovery]]></category>
		<category><![CDATA[the biological differences between eccentric and concentric exercises]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=195011</guid>

					<description><![CDATA[New research shows that eccentric exercise releases lipid-rich extracellular vesicles from skeletal muscle that dramatically accelerate regeneration after injury, outperforming vesicles produced by concentric contraction.]]></description>
										<content:encoded><![CDATA[<p>When a muscle tears, strains, or is damaged by disease, the road back to full strength often depends on a delicate biological process that scientists are only now beginning to decode at the level of individual molecular messengers. A new study published in the Journal of Cachexia, Sarcopenia and Muscle offers a striking insight into why one particular form of exercise, known as eccentric exercise, appears to outperform its concentric counterpart in healing damaged skeletal muscle, and it points the finger at an unexpected courier service: tiny membrane-bound particles called extracellular vesicles, released by muscle fibres themselves during contraction.</p>
<p>Eccentric exercise occurs when a muscle lengthens under load, as it does when lowering a weight or running downhill, generating high mechanical tension at a comparatively low metabolic cost. Concentric exercise, by contrast, shortens the muscle under load, as in uphill running or lifting. Physiotherapists and sports physicians have long observed that eccentric training builds strength efficiently and reduces the incidence of hamstring injuries by as much as 56.8 to 70 percent in some reported cohorts, yet the underlying mechanism linking this unique stress profile to enhanced tissue repair has remained elusive. The new research, conducted in mice using a barium chloride-induced injury model that reproducibly triggers myofibre necrosis while preserving the satellite cell niche, set out to close that gap.</p>
<p>The team subjected injured mice to five days of treadmill running, with one group performing downhill running at a minus 15-degree incline to simulate eccentric exercise and another performing uphill running at plus 15 degrees to simulate concentric exercise. Seven days after injury, the downhill-running animals displayed markedly better organised regenerating tissue in the tibialis anterior muscle, less collagen Iα deposition, and elevated expression of the myogenic regulators Myod, Myog and embryonic myosin heavy chain. Immunofluorescence revealed more newly formed eMyhc-positive fibres, and the extensor digitorum longus muscles of the eccentric group generated greater maximal tetanic force. In short, eccentric contraction was the more effective healer.</p>
<p>To explain the difference, the researchers turned to extracellular vesicles, nanoscale particles typically ranging from roughly 50 to 150 nanometres that cells release to ferry proteins, lipids, RNAs and metabolites between cells. Skeletal muscle is known to shed these vesicles during exercise, and the team hypothesised that the two contraction modes might load them differently. Western blotting showed that Rab27a, a key regulator of vesicle secretion, was more strongly expressed after eccentric exercise, and ex vivo experiments using the Aurora Scientific 1200A system confirmed that isolated soleus, extensor digitorum longus and tibialis anterior muscles secreted more vesicles during eccentric than concentric contractions. Transmission electron microscopy and nanoparticle tracking analysis characterised the vesicles, while canonical markers such as CD63, ALIX, TSG101 and CD9 were elevated in the eccentric group.</p>
<p>The causal evidence was compelling. When the researchers blocked vesicle production with GW4869, an inhibitor of vesicle biogenesis, the benefits of eccentric exercise largely vanished: regenerating muscles showed disorganised morphology, increased fibrosis, reduced myogenic marker expression and fewer newborn fibres. Conversely, when vesicles harvested from the muscles of exercised mice were injected directly into injured muscles, the vesicles entered satellite cells, as demonstrated by PKH26 labelling, and accelerated repair. Critically, vesicles from eccentrically exercised donors outperformed those from concentric donors and sedentary controls, producing better tissue architecture, less collagen deposition, higher Myog protein and more eMyhc-positive regenerating fibres.</p>
<p>What made the eccentric vesicles so potent? The answer appears to lie in their cargo. Non-targeted metabolomic profiling using liquid chromatography-mass spectrometry revealed that lipid metabolites, particularly phosphatidylcholines and sphingomyelins, were the most enriched class of upregulated molecules in vesicles from eccentrically exercised muscle. Quantitative PCR showed corresponding upregulation of lipid metabolism genes, and KEGG pathway analysis confirmed that lipid metabolism was significantly more active in the eccentric vesicles. Because phosphatidylcholines supply substrates for membrane remodelling, a process essential for myoblast fusion and fibre growth, while sphingomyelins populate lipid rafts that organise pro-differentiation signalling, the authors propose that these lipids act as both building blocks and signals for regeneration.</p>
<p>Functional tests strengthened the case. When the researchers blocked lipid metabolism in exercising muscle using BMS-309403, an inhibitor of the fatty acid binding protein AP2, vesicles extracted from those muscles lost nearly all of their regenerative advantage, both in injured mice and in cultures of C2C12 myoblasts. Supplementation experiments with PI (18:1/18:1), a phosphatidylinositol species highly enriched in eccentric vesicles, activated the energy-sensing AMPK pathway, boosted MyoD expression and rescued the pro-myogenic capacity of otherwise weaker vesicle preparations, while the AMPK inhibitor Compound C attenuated these effects. Vesicles from eccentric exercise also raised ATP levels and mitochondrial membrane potential in recipient cells.</p>
<p>Transcriptomics added a further layer of mechanism. RNA sequencing of myoblasts treated with the different vesicle populations showed activation of fatty acid metabolism pathways and a stepwise, exercise-dependent increase in nine genes, including Prkag3, a known supporter of muscle repair, and the mitochondrial energy-sensing genes Cox7a1, Cox6a2 and Cox8b. Together with the metabolomic and pharmacological data, the picture that emerges is of vesicles acting as lipid-rich metabolic packages that reprogramme satellite cells and myoblasts toward an energetically primed, differentiation-ready state, thereby accelerating the reconstruction of damaged tissue.</p>
<p>The therapeutic implications are considerable, particularly for patients who cannot exercise after injury. Because improper eccentric training can itself cause secondary muscle damage, the prospect of isolating or mimicking the vesicles released during downhill running, and administering them exogenously, offers a way to capture the regenerative benefits of exercise without the movement that injured limbs may not tolerate. The authors caution that significant hurdles remain before clinical translation, including scalable production with consistent quality, batch-to-batch variability, maintaining vesicle stability during storage, achieving targeted delivery to injured muscle, and excluding immunogenicity or long-term adverse effects. The study also used only male mice, leaving open whether the findings extend to females, and other exercise-induced factors beyond vesicles may contribute to regeneration. Nevertheless, by demonstrating that the healing power of eccentric contraction travels, at least in part, inside lipid-laden extracellular vesicles, the work transforms these nanoscale particles from a curiosity of intercellular communication into a promising natural therapeutic candidate, one that could eventually shorten recovery times for athletes and patients alike and reshape rehabilitation medicine around the molecular conversation that exercising muscles hold with their own stem cells.</p>
<p><strong>Subject of Research:</strong> Muscle-derived extracellular vesicles released during eccentric exercise that promote skeletal muscle regeneration after injury</p>
<p><strong>Article Title:</strong> Skeletal Muscle–Derived Extracellular Vesicles During Eccentric and Concentric Exercise Promote Muscle Regeneration After Injury</p>
<p><strong>Article References:</strong> Zhou, Y., Shao, X., Zhang, P., Lin, J., Chen, X., An, X., Jiang, Z., Wang, H., Fang, D., Xian, Y., Liu, B., Shen, T., Chen, Y., Li, K., Liu, H., Li, Y., Jiang, Q., &amp; Guo, B. (2026). Skeletal Muscle–Derived Extracellular Vesicles During Eccentric and Concentric Exercise Promote Muscle Regeneration After Injury. <em>Journal of Cachexia, Sarcopenia and Muscle, 17</em>(5), Article e70374. <a href="https://doi.org/10.1002/jcsm.70374" rel="noopener noreferrer">https://doi.org/10.1002/jcsm.70374</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1002/jcsm.70374" rel="noopener noreferrer">10.1002/jcsm.70374</a></p>
<p><strong>Keywords:</strong> extracellular vesicles, eccentric exercise, concentric exercise, skeletal muscle regeneration, satellite cells, lipid metabolites, myokines, muscle injury, metabolomics, AMPK signalling, myoblast differentiation, rehabilitation</p>
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