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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT04892823
Other study ID # 43000
Secondary ID NCI-2021-0261643
Status Recruiting
Phase
First received
Last updated
Start date May 18, 2021
Est. completion date May 31, 2025

Study information

Verified date July 2023
Source Medical College of Wisconsin
Contact Medical College of Wisconsin Cancer Center Clinical Trials Offic
Phone 866-680-0505
Email cccto@mcw.edu
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This project aims to elucidate the important protective elements of social relationships and identify concrete, modifiable behavioral factors that contribute to biological and phenotypic aging in hematopoietic cell transplantation (HCT) survivors and can be used to develop biologically informed interventions to improve quality of life and prolong the healthspan of individuals with accelerated aging.


Description:

PRIMARY OBJECTIVES: I. Examine associations between social support, strain, and isolation and phenotypic aging over the 1-year recovery period. II. Examine associations between social support, strain, and isolation and biological aging over the 1-year recovery period. III. Test biological aging as a mediator linking social processes and phenotypic aging. EXPLORATORY OBJECTIVE: I. Test sex differences in Aims 1 and 2. OUTLINE: Adopting a prospective design, participants will complete comprehensive assessments of social processes at 100 days and 1 year after HCT that combine reports of social support, strain, and isolation with a naturalistic observation tool, the Electronically Activated Recorder (EAR), which captures ambient sound bites to assess social interactions in survivors' daily lives16. At each time point, participants will also provide reports of symptoms to characterize phenotypic aging, including cognitive, physical, and functional complaints, and blood samples to assess biological aging, including cellular senescence, DNA damage, SASP, and cellular stress using genome-wide RNA sequencing. Relevant clinical information that could influence biological aging will also be collected from patients' medical records to consider as covariates.


Recruitment information / eligibility

Status Recruiting
Enrollment 110
Est. completion date May 31, 2025
Est. primary completion date May 31, 2025
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Aged 18 years and older who are competent to give their informed consent. - Ability to read, speak, and understand English. - Received a hematopoietic cell transplant within the previous 100 days. Exclusion Criteria: - Less then Aged 18 years and older who are competent to give their informed consent. - Cannot read, speak, and understand English. - Has not received a hematopoietic cell transplant within the previous 100 days.

Study Design


Related Conditions & MeSH terms


Intervention

Procedure:
Biospecimen Collection
Undergo collection of blood sample
Other:
Electronic Health Record Review
Review of medical records
Questionnaire Administration
Complete questionnaires

Locations

Country Name City State
United States Froedtert Hospital and the Medical College of Wisconsin Milwaukee Wisconsin

Sponsors (2)

Lead Sponsor Collaborator
Medical College of Wisconsin National Institute on Aging (NIA)

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Other Sex differences Multiple regression models will examine interactions between social support, strain, and isolation and biological sex as separate predictors of biological (Aim 1) and change in phenotypic (Aim 2) aging, accounting for covariates. through study completion, an average of 1 year
Primary Associations between social support, strain, and isolation and phenotypic aging Multiple regression models will examine subjective and objective measures of each social process as separate predictors of change in phenotypic aging over the 1-year period, accounting for covariates. through study completion, an average of 1 year
Primary Associations between social support, strain, and isolation and biological aging Raw gene expression data will be quantile-normalized and log2-transformed. Similar to Aim 1, multiple regression models will examine each social process as separate predictors of change in cellular senescence marker p16INK4a over the 1-year period, accounting for covariates. Mixed linear models will examine associations between each social process and deoxyribonucleic acid damage response (DDR) and senescence-associated secretory phenotype (SASP) gene profiles, estimated by maximum likelihood to account for systematic differences across genes by treating them as repeated measurements with an unstructured covariance matrix. Bioinformatics analyses will use regression models to identify genes with > 1.5-fold difference. through study completion, an average of 1 year
Primary Biological aging as a mediator linking social processes and phenotypic aging A regression-based mediation approach will examine biological aging (p16INK4a messenger ribonucleic acid, DDR and SASP composites) as mediating variables in associations between each social process and change in phenotypic aging, using the PROCESS macro for SPSS statistical software. through study completion, an average of 1 year
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