There is an ongoing need to develop prognostic and diagnostic biomarkers for osteoarthritis (OA). Understanding how biomarkers change in response to physical activity may be vital for understanding if a patient has a joint that is failing to adapt to a given loading stimulus. The purpose of this review is to describe how biomarker changes after joint loading may help detect early OA and determine prognosis. This may help to inform and more specifically target interventions and clinical trials. We conducted a critical review of the relevant literature that was published to January 2016. There is extensive OA biomarker research, specifically basal biomarker concentrations; however, there is limited research surrounding biomarker response to load. Some of this limited research includes the response of minimal biomarkers reflecting bone, synovium, inflammatory, and cartilage responses to load. Biomarker changes occur in bone and cartilage in response to a variety of activities and are influenced by variables such as body weight, load, vibration, and activity time. Biomarker responses to loading tasks may serve as a measure of overall joint health and be predictive of structural changes. Biomarkers adapt to training over time, and this may indicate a need for a gradual return to physical activity after an injury to allow time for joint tissues to adapt to load. Biomarker responses to physical activity may be monitored to determine appropriate loading levels and safety for return to activity.
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http://dx.doi.org/10.1177/1759720X16670613 | DOI Listing |
JCI Insight
January 2025
Department of Nephrology, Blood Purification Research Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Renal osteodystrophy is commonly seen in patients with chronic kidney disease (CKD) due to disrupted mineral homeostasis. Given the impaired renal function in these patients, common anti-resorptive agents, including bisphosphonates, must be used with caution or even contraindicated. Therefore, an alternative therapy without renal burden to combat renal osteodystrophy is urgently needed.
View Article and Find Full Text PDFJCI Insight
January 2025
Dianne Hoppes Nunnally Laboratory Research Division, Joslin Diabetes Center, Boston, United States of America.
Background: We aimed to characterize factors associated with the under-studied complication of cognitive decline in aging people with long-duration type 1 diabetes (T1D).
Methods: Joslin "Medalists" (n = 222; T1D ≥ 50 years) underwent cognitive testing. Medalists (n = 52) and age-matched non-diabetic controls (n = 20) underwent neuro- and retinal imaging.
Pulmonology
December 2025
Respiratory Rehabilitation Unit, Istituti Clinici Scientifici Maugeri IRCCS, Lumezzane, Italy.
Pulmonology
December 2025
Department of Human Movement Sciences, Laboratory of Epidemiology and Human Movement - EPIMOV, Federal University of São Paulo (UNIFESP), São Paulo, Brazil.
Pulmonology
December 2025
Department of Intensive Rehabilitation, The First Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, China.
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