Integrated Aging Studies Databank and Repository (IASDR)
The Integrated Aging Studies Data Bank and Repository (IASDR) is a web-based data management system that houses data from WF OAIC studies in a common structured format, readily allowing the integration of summary statistics and data across multiple studies. The IASDR also provides information on availability of activity monitoring, imaging data and WF OAIC Biospecimens Repository.
The IASDR has 3 components:
- a publicly accessible registry (WF Pepper Study Registry) to query metadata that indicates the availability of components of the common assessment battery, activity monitoring, imaging data (e.g. DEXA, CT and MRI), and biospecimens (e.g. serum, plasma, muscle, adipose, urine and DNA) across studies; WF Pepper Study Registry is embedded in the OAIC CC Pepper Study Registry.
- a search engine of descriptive statistics providing more granular details for selected common assessment battery based on filtering criteria (e.g., study, age, gender/sex, etc.), to which WF OAIC investigators can request password to access; and
-
a quality-controlled, analysis ready participant-level dataset comprising the common assessment
battery that is updated quarterly (secured).
Available data in the common assessment battery include:
- Demographics, gender, age, race/ethnicity
- Body Composition (DXA)
- Physical Performance: Short Physical Performance Battery (SPPB), Expanded SPPB, Grip Strength, Gait Speed (4 meter and 400 meter, GAIT Rite)
- Disability measures: PAT-D, MAT-sf
- Cognition: MoCA, DSST, MMSE
- Depression: CES-D
- Biomarkers:IL-6, TNF-alpha CRP, sTNF-R1 Adiponectin, Leptin
Biospecimen Repository
An WF OAIC Biological Specimen Repository and Distribution Center developed a centralized system for the proper collection, transfer, and storage of biological tissue to be used for conducting future ancillary studies by investigators in aging related research.
As of January 2023, the Repository holds >200,000 cryovials of serum or plasma from over 4,500 participants, 5,290 DNA samples, and 1,973 participants with either stored adipose tissue or muscle hundreds of pre/post sets of stored muscle from participants in different intervention studies. All samples are collected from study participants enrolled in research protocols at Wake Forest University or Wake Forest University School of Medicine. Written informed consent is obtained from each participant providing permission to have their samples stored for future, undesignated research.
IRB approval is required to receive samples and priority is given to new investigators and those within the OAIC network.
Availability of biospecimens can be accessed through WF PSR.
| Study (PI) | Gender/Age | Disease/Condition | N= | Study Design | Intervention | Serum | EDTA plasma | Urine | Muscle | Adipose | DNA |
|
REACT II (BERRY) |
M/F: 37-95 | COPD | 200 | 12-month RCT | Aerobic Exercise; | ||||||
| REACT III (BERRY) |
M/F: 45-80 | COPD | 32 | 4-month RCT | Resistance Exercise vs. Control | ||||||
| Vitamin D Supplement (HOUSTON) |
M/F: 70-89 | Vitamin D insufficient | 26 | 4-month RCT | Vitamin D + Calcium supplementation vs. calcium only | ||||||
| FLOW (HUNDLEY) |
M/F: 50+ | Aging/Heart Failure | 30 | Cross-sectional | N/A | ? | |||||
| Predict (HUNDLEY) |
M/F: 55-85 | At risk for CHF | 608 | Longitudinal cohort | N/A | ||||||
| Non-human Primate Sample (KAPLAN) |
M/F: | 96 | Diet - Soy and Casein; surgery-induced menopause | ||||||||
| Healthy Aging (KITZMAN) |
M/F: 60+ | Healthy | 61 | Cross-sectional | N/A | ||||||
| PIE (KITZMAN) |
M/F: 60+ | Diastolic heart failure | 80 | 12-month RCT | ACE inhibitor use vs Placebo | ||||||
| PIE II (KITZMAN) |
M/F: 60+ | Diastolic heart failure | 80 | 12-month RCT | Spironolactone vs Placebo | ||||||
| SECRET (KITZMAN) |
M/F: 60+ | Overweight/obese; heart failure | 100 | 5-month RCT | Caloric Restriction vs. Aerobic Exercise vs. CR+AEX | ||||||
| LIFE - Pilot (KRITCHEVSKY) |
M/F: 70-89 | At risk for disability | 424 | 12-month RCT | Aerobic + Resistive Exercise vs. Control | ||||||
| OPTIMA (KRITCHEVSKY) |
M/F: 65-79 | Overweight/obese; at risk for disability | 88 | 6-month RCT | Caloric Restriction + Pioglitazone vs. CR + Resistance Exercise | ||||||
| RAINS (KRITCHEVSKY) |
M/F: 65-85 | Overweight/obese; at risk for disability | 67 | 4-month intervention | Nutrition (protein) supplementation | ||||||
| POWER (MARSH) |
M/F: 65+ | At risk for disability | 45 | 3-month RCT | Strength training vs. Power training vs. Control | ||||||
| IDEA (MESSIER) |
M/F: 55+ | Overweight/obese; Knee OA | 450 | 18-month RCT | Caloric Restriction vs. Aerobic Exercise vs. CR+AEX | ||||||
| LOSE-IT (MILLER) |
M/F: 18+ | Bariatric surgery patients | 42 | Cross-sectional | N/A | ||||||
| PACT (MILLER) |
M/F: 60+ | Overweight/obese; Knee OA | 84 | 6-month RCT | Caloric Restriction + Exercise vs. Control | ||||||
| EFFECT - Pilot (MORRIS) |
M/F: 18+ | ICU patients | 100 | Cross-sectional | Intensive physical therapy vs. Usual Care | ||||||
| TARGETT (MORRIS) |
M/F: 18+ | ICU patients | 322 | RCT | Intensive physical therapy vs. Usual Care | ||||||
| DEMO (NICKLAS) |
F: 50-70 | Abdominal obesity | 112 | 5-month RCT | Caloric Restriction vs. CR + Aerobic Exercise | ||||||
| I'M FIT (NICKLAS) |
M/F: 65-79 | Obese; at risk for disability | 130 | 5-month RCT | Resistance Exercise vs. Resistance exercise + Caloric Restriction | ||||||
| INFINITE (NICKLAS) |
M/F: 65-79 | Obese | 180 | 5-month RCT | Aerobic Exercise vs AEX + Caloric Restriction | ||||||
| CLIP (REJESKI) |
M/F: 60-79 | Overweight/obese; CVD or METs | 288 | 18-month RCT | Caloric Restriction and/or Aerobic Exercise | ||||||
| Study (PI) | Gender/Age | Disease/Condition | N= | Study Design | Intervention | Serum | EDTA plasma | Urine | Muscle | Adipose | DNA |
Potential Uses
Novel Hypotheses Testing The IASDR is a valuable resource for efficient testing of novel hypotheses with adequate sample sizes across a broad range of diseases and conditions related to the OAIC's theme.
Examples of publications using the IASDR:
- Handing EP, Rapp SR, Chen SH, et al. Heterogeneity in Association Between Cognitive Function and Gait Speed Among Older Adults: An Integrative Data Analysis Study. J Gerontol A Biol Sci Med Sci. 2021;76(4):710-715.
- Beavers KM, Neiberg RH, Kritchevsky SB, et al. Association of Sex or Race With the Effect of Weight Loss on Physical Function: A Secondary Analysis of 8 Randomized Clinical Trials. JAMA Netw Open. 2020;3(8):e2014631.
- Handing EP, Leng XI, Kritchevsky SB, Craft S. Association Between Physical Performance and Cognitive Function in Older Adults Across Multiple Studies: A Pooled Analysis Study. Innov Aging. 2020;4(6):igaa050.
- Kim S, Leng XI, Kritchevsky SB. Body Composition and Physical Function in Older Adults with Various Comorbidities. Innov Aging. 2017;1(1):igx008.
- Stehle Jr. JR, Leng X, Kitzman DW, et al. Lipopolysaccharide-binding protein, a surrogate marker of microbial translocation, is associated with physical function in healthy older adults. J Gerontol A Biol Sci Med Sci. 2012;67(11):1212-8.
- Brinkley TE, Leng X, Miller ME, et al. Chronic inflammation is associated with low physical function in older adults across multiple comorbidities. J Gerontol A Biol Sci Med Sci. 2009;64(4):455-61.
Sample size determination The IASDR provides a wealth of preliminary data for use in sample size calculations. Intervention effects and estimates of variability/association often can be derived from prior OAIC studies.