None listed
Conditions
Interventions
Intervention1: NIL: NIL
Control Intervention1: NIL: NIL
Sponsors
Tzar Genomics India Private Limited
Eligibility
Inclusion criteria
Inclusion criteria: A-Control Individuals 1.Age 18 years to 70 years with age brackets. 2.Individuals who do not participate in high-intensity physical activities, endurance training, or rigorous exercise routines. 3.Individuals with mild or well-controlled comorbid conditions. 4.Individuals able and willing to provide informed consent and share their medical history. B-Test individuals 1.Age 18 years to 70 years with age brackets. 2.Registered participant in a marathon event 3.Participants with mild or well controlled comorbidities 4.Willing to share medical history 5.Able and willing to provide informed consent 6.Able to comply with study visits and blood sample collection
Exclusion criteria
Exclusion criteria: 1.Age less than 18 years and more than 70 years. 2.Acute illness, infection within 2 weeks prior to blood sample collection. 3.Known chronic cardiovascular, metabolic, inflammatory or autoimmune disease-moderate, severe. 4.Recent major musculoskeletal injury or surgery 5.Participants using medications that significantly alter metabolism or immune response, such as anabolic steroids, are excluded. 6.Active malignancy or ongoing cancer treatment 7.Pregnancy or lactation 8.Blood transfusion or donation within 2 weeks prior to blood sample collection. 9.Undergone surgery within 2 weeks prior to blood sample collection. 10.Inability to comply with study procedures or follow-up visits 11.Verified biohazard samples
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| 1.Identification of distinct gene expression profiles associated with pre-exercise baseline, acute post-exercise stress, and recovery phases. 2.Discovery of key molecular pathways related to inflammation, oxidative stress, immune activation, and metabolic adaptation modulated by endurance activity. 3.Characterization of molecular signatures that differentiate beneficial physiological adaptation from excessive stress or fatigue. 4.Identification of potential transcriptomic biomarkers for monitoring recovery, and risk of overtraining or injury. 5.Generation of a systems-level framework to support personalized training strategies and performance optimization in endurance athletes.Timepoint: Baseline | — |
Secondary
| Measure | Time frame |
|---|---|
| NILTimepoint: NIL | — |
Countries
India
Contacts
Public ContactDr Nitu Kumari Jha
Tzar Genomics India Private Limited
Outcome results
None listed