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During low-intensity exercise stages of the lactate threshold test, blood lactate concentrations gradually diminish due to the predominant utilization of total fat oxidation. However, it is unclear why blood glucose is also reduced in well-trained athletes who also exhibit decreased lactate concentrations. This review focuses on decreased glucose and lactate concentrations at low-exercise intensity performed in well-trained athletes. During low-intensity exercise, the accrued resting lactate may predominantly be transported via blood from the muscle cell to the liver/kidney. Accordingly, there is increased hepatic blood flow with relatively more hepatic glucose output than skeletal muscle glucose output. Hepatic lactate uptake and lactate output of skeletal muscle during recovery time remained similar which may support a predominant Cori cycle (re-synthesis). However, this pathway may be insufficient to produce the necessary glucose level because of the low concentration of lactate and the large energy source from fat. Furthermore, fatty acid oxidation activates key enzymes and hormonal responses of gluconeogenesis while glycolysis-related enzymes such as pyruvate dehydrogenase are allosterically inhibited. Decreased blood lactate and glucose in low-intensity exercise stages may be an indicator of recovery ability in well-trained athletes. Athletes of intermittent sports may need this recovery ability to successfully perform during competition.
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http://dx.doi.org/10.3390/ijerph17155470 | DOI Listing |
Clin Orthop Relat Res
September 2025
Leni & Peter W. May Department of Orthopaedic Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Peripheral nerve injury commonly results in pain and long-term disability for patients. Recovery after in-continuity stretch or crush injury remains inherently unpredictable. However, surgical intervention yields the most favorable outcomes when performed shortly after injury.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao, Shandong Province, China.
Background: As a common postoperative neurological complication, postoperative delirium (POD) can lead to poor postoperative recovery in patients, prolonged hospitalization, and even increased mortality. However, POD's mechanism remains undefined and there are no reliable molecular markers of POD to date. The present work examined the associations of cerebrospinal fluid (CSF) sTREM2 with CSF POD biomarkers, and investigated whether the effects of CSF sTREM2 on POD were modulated by the core pathological indexes of POD (Aβ42, tau, and ptau).
View Article and Find Full Text PDFJ Pediatr Orthop
October 2025
Department of Research, Gillette Children's, Saint Paul.
Background: Many children with cerebral palsy (CP) undergo orthopaedic surgery. Prospective studies exploring patient or psychological factors predictive of pain recovery or chronicity have not been investigated in CP and orthopaedic surgery. In studies with other pediatric clinical samples, preoperative pain, anxiety, and catastrophizing were shown to be predictive of pain outcomes.
View Article and Find Full Text PDFAnn Neurol
September 2025
Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
Objective: Impaired ability to induce stepping after incomplete spinal cord injury (SCI) can limit the efficacy of locomotor training, often leaving patients wheelchair-bound. The cuneiform nucleus (CNF), a key mesencephalic locomotor control center, modulates the activity of spinal locomotor centers via the reticulospinal tract. Even with severe corticospinal damage, the widely distributed reticulospinal fibers frequently cross the lesion, and lumbosacral spinal locomotor centers remain responsive.
View Article and Find Full Text PDFFront Rehabil Sci
August 2025
Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
Introduction: Spinal cord injury (SCI) presents a significant burden to patients, families, and the healthcare system. The ability to accurately predict functional outcomes for SCI patients is essential for optimizing rehabilitation strategies, guiding patient and family decision making, and improving patient care.
Methods: We conducted a retrospective analysis of 589 SCI patients admitted to a single acute rehabilitation facility and used the dataset to train advanced machine learning algorithms to predict patients' rehabilitation outcomes.