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Predicting the Metabolic Biomarkers Associated With Injury in Athletes

Predicting the Metabolic Biomarkers Associated With Injury in Athletes

Status
Enrolling by invitation
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06888635
Enrollment
60
Registered
2025-03-21
Start date
2025-04-16
Completion date
2027-12-31
Last updated
2026-04-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sports Medicine

Keywords

sports medicine,, injury, biomarker, metabolite

Brief summary

For elite athletes, sports injuries significantly impede the further enhancement of their competitive performance. Consequently, the significance of preventing, detecting, and addressing potential injury issues has become increasingly critical. Currently, the comprehensive evaluation of athletes' physical function and condition primarily depends on a range of physiological, biochemical, and immunological indicators. However, these methods have progressively exposed their limitations. As an advanced bioinformatics technology, omics research demonstrates unique advantages. By leveraging multi-omics research and analysis, it is possible to more accurately observe the physiological and biochemical changes that athletes undergo during training and competition, as well as their regulatory mechanisms. This approach can provide practical data, identify biomarkers that can warn of potential injuries, and offer precise guidance for training monitoring and injury prevention. It also provides a foundation for developing diverse, precise, and personalized sports programs and rehabilitation plans.

Detailed description

Investigators will collect fasting venous blood. White blood cell count, red blood cell count, erythrocyte specific volume, hemoglobin, C-reactive protein, procalcitonin, erythrocyte sediment rate, lactic acid,creatine kinase, liver function indicators, blood urea, blood creatinine, blood uric acid, blood testosterone, blood cortisol, immunoglobulin (IgG, IgA, IgM) and ferritin levels were measured. The levels of IL-2, IL-6, IL-1β and TNF-α were determined by ELISA. Blood samples were purified and analyzed by proteomics, metabolomics and lipidomics methods. Urine and stool samples were collected and analyzed by multi-omics method.

Interventions

None listed

Sponsors

Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
12 Years to 30 Years
Healthy volunteers
Yes

Inclusion criteria

1. Age: Athletes 12-30 years old 2. Acute injury during exercise: such as muscle, sprain, contusion, torn ligament, dislocation, fracture.

Exclusion criteria

1. Athletes with serious cardio-cerebrovascular disease and abnormal liver and kidney function 2. Recent use of drugs or supplements that affect metabolism. 3. Pregnancy, lactation or special conditions that may affect metabolism.

Design outcomes

Primary

MeasureTime frameDescription
Number of participants with athletes with acute injuries1yearAcute injuries are defined as the injuries of body tissues in a short period of time due to sudden external force or improper operation during sports.This injury usually has sudden and distinct traumatic features

Countries

China

Contacts

PRINCIPAL_INVESTIGATORYue Zhang, Doctor

Department of Respiratory, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 25, 2026