Hematopoietic and Lymphoid Cell Neoplasm Clinical Trial
Official title:
Accelerated Biological and Phenotypic Aging in Hematopoietic Cell Transplant Survivors: Social Support as a Protective Factor
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.
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. |
Country | Name | City | State |
---|---|---|---|
United States | Froedtert Hospital and the Medical College of Wisconsin | Milwaukee | Wisconsin |
Lead Sponsor | Collaborator |
---|---|
Medical College of Wisconsin | National Institute on Aging (NIA) |
United States,
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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