Skip to main content Skip to main navigation menu Skip to site footer
  • \
    Start Submission Become a Reviewer

    The Brain Aging National Cohort-PUMC: study design and baseline characteristics



    Abstract

    Objectives: To describe the study design and baseline characteristics of the Brain Aging National Cohort (BANC)-Peking Union Medical College (PUMC), a study aiming to identify risk and protective factors that contribute to brain aging and age-related neurological diseases.

    Methods: The BANC-PUMC is a longitudinal study established in 2017 in the city of Beijing, enrolling participants who agreed to donate their bodies and brains for medical research. Participants received face-to-face clinical evaluations including questionnaires, physical examinations, and comprehensive cognitive assessments. Biological samples and brain magnetic resonance images were collected. Neuropathological evaluation of the autopsied brain is performed.

    Results: Among the 885 participants, 43.3% were men, and the mean age of the cohort was 71.3 ± 8.2 years. The participants were predominantly equipped with high-level education, and they had an average of 12 years (SD 3.6) of education. The most common chronic disease of participants was hypertension (61.4%). The proportion of Mini-Mental State Examination scores below 24 was 4.3%. The cohort has been followed up annually.

    Conclusions: The BANC-PUMC study has the potential to unravel the causes and consequences of age-related neurological diseases via a clinicopathological correlation study. The program will continue and allow further follow-up and extension of current investigations.

    Keywords: Aging Cohort study Willed donation Study design Clinicopathological correlation
    Section

    References

    1. Arnold, J., Dai, J., Nahapetyan, L., Arte, A., Johnson, M. A., Hausman, D., . . . Poon, L. W. (2010). Predicting successful aging in a population-based sample of georgia centenarians. Curr Gerontol Geriatr Res. doi:10.1155/2010/989315
    2. Au, R., Seshadri, S., Knox, K., Beiser, A., Himali, J. J., Cabral, H. J., . . . McKee, A. C. (2012). The Framingham Brain Donation Program: neuropathology along the cognitive continuum. Curr Alzheimer Res, 9(6), 673-686. doi:10.2174/156720512801322609
    3. Bennett, D. A., Schneider, J. A., Arvanitakis, Z., & Wilson, R. S. (2012). Overview and findings from the religious orders study. Curr Alzheimer Res, 9(6), 628-645. doi:10.2174/156720512801322573
    4. Bennett, D. A., Schneider, J. A., Buchman, A. S., Barnes, L. L., Boyle, P. A., & Wilson, R. S. (2012). Overview and findings from the rush Memory and Aging Project. Curr Alzheimer Res, 9(6), 646-663. doi:10.2174/156720512801322663
    5. Bennett, D. A., Schneider, J. A., Buchman, A. S., Mendes de Leon, C., Bienias, J. L., & Wilson, R. S. (2005). The Rush Memory and Aging Project: study design and baseline characteristics of the study cohort. Neuroepidemiology, 25(4), 163-175. doi:10.1159/000087446
    6. Brayne, C., Richardson, K., Matthews, F. E., Fleming, J., Hunter, S., Xuereb, J. H., . . . Cambridge City Over-75s Cohort Cc75c Study Neuropathology, C. (2009). Neuropathological correlates of dementia in over-80-year-old brain donors from the population-based Cambridge city over-75s cohort (CC75C) study. J Alzheimers Dis, 18(3), 645-658. doi:10.3233/JAD-2009-1182
    7. Brenowitz, W. D., Keene, C. D., Hawes, S. E., Hubbard, R. A., Longstreth, W. T., Jr., Woltjer, R. L., . . . Kukull, W. A. (2017). Alzheimer's disease neuropathologic change, Lewy body disease, and vascular brain injury in clinic- and community-based samples. Neurobiol Aging, 53, 83-92. doi:10.1016/j.neurobiolaging.2017.01.017
    8. Cummings, J. L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A., & Gornbein, J. (1994). The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology, 44(12), 2308-2314. doi:10.1212/wnl.44.12.2308
    9. de Groot, J. C., de Leeuw, F. E., Oudkerk, M., van Gijn, J., Hofman, A., Jolles, J., & Breteler, M. M. (2000). Cerebral white matter lesions and cognitive function: the Rotterdam Scan Study. Ann Neurol, 47(2), 145-151. doi:10.1002/1531-8249(200002)47:2<145::aid-ana3>3.3.co;2-g
    10. Foltynie, T., Matthews, F. E., Ishihara, L., Brayne, C., & Mrc, C. (2006). The frequency and validity of self-reported diagnosis of Parkinson's Disease in the UK elderly: MRC CFAS cohort. BMC Neurol, 6, 29. doi:10.1186/1471-2377-6-29
    11. Franklin, E. E., Perrin, R. J., Vincent, B., Baxter, M., Morris, J. C., Cairns, N. J., & Alzheimer's Disease Neuroimaging, I. (2015). Brain collection, standardized neuropathologic assessment, and comorbidity in Alzheimer's Disease Neuroimaging Initiative 2 participants. Alzheimers Dement, 11(7), 815-822. doi:10.1016/j.jalz.2015.05.010
    12. Galasko, D., Bennett, D., Sano, M., Ernesto, C., Thomas, R., Grundman, M., & Ferris, S. (1997). An inventory to assess activities of daily living for clinical trials in Alzheimer's disease. The Alzheimer's Disease Cooperative Study. Alzheimer Dis Assoc Disord, 11 Suppl 2, S33-39.
    13. Goetz, C. G., Tilley, B. C., Shaftman, S. R., Stebbins, G. T., Fahn, S., Martinez-Martin, P., . . . Movement Disorder Society, U. R. T. F. (2008). Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results. Mov Disord, 23(15), 2129-2170. doi:10.1002/mds.22340
    14. Group, C. S. (2003). Vascular factors and risk of dementia: design of the Three-City Study and baseline characteristics of the study population. Neuroepidemiology, 22(6), 316-325. doi:10.1159/000072920
    15. Guralnik, J. M., Simonsick, E. M., Ferrucci, L., Glynn, R. J., Berkman, L. F., Blazer, D. G., . . . Wallace, R. B. (1994). A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol, 49(2), M85-94. doi:10.1093/geronj/49.2.m85
    16. Hamilton, M. (1960). A rating scale for depression. J Neurol Neurosurg Psychiatry, 23, 56-62. doi:10.1136/jnnp.23.1.56
    17. Han, F., Zhou, L. X., Ni, J., Yao, M., Zhai, F. F., Liu, Y. T., . . . Zhang, S. Y. (2020). Design of the Shunyi study on cardiovascular disease and age-related brain changes: a community-based, prospective, cohort study. Ann Transl Med, 8(23), 1579. doi:10.21037/atm-20-4195
    18. Lang, R. M., Badano, L. P., Mor-Avi, V., Afilalo, J., Armstrong, A., Ernande, L., . . . Voigt, J. U. (2015). Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr, 28(1), 1-39 e14. doi:10.1016/j.echo.2014.10.003
    19. Lawton, M. P., & Brody, E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist, 9(3), 179-186.
    20. Leung, S. O., Chan, C. C., & Shah, S. (2007). Development of a Chinese version of the Modified Barthel Index-- validity and reliability. Clin Rehabil, 21(10), 912-922. doi:10.1177/0269215507077286
    21. Lim, W. S., Chong, M. S., & Sahadevan, S. (2007). Utility of the clinical dementia rating in Asian populations. Clin Med Res, 5(1), 61-70. doi:10.3121/cmr.2007.693
    22. The mini-mental state examination in the Chinese residents population aged 55 years and over in the urban and rural areas of Beijing
    23. Morris, J. C. (1993). The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology, 43(11), 2412-2414. doi:10.1212/wnl.43.11.2412-a
    24. Mortimer, J. A. (2012). The Nun Study: risk factors for pathology and clinical-pathologic correlations. Curr Alzheimer Res, 9(6), 621-627. doi:10.2174/156720512801322546
    25. Nagueh, S. F., Smiseth, O. A., Appleton, C. P., Byrd, B. F., 3rd, Dokainish, H., Edvardsen, T., . . . Waggoner, A. D. (2016). Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J Am Soc Echocardiogr, 29(4), 277-314. doi:10.1016/j.echo.2016.01.011
    26. Oveisgharan, S., Dawe, R. J., Yu, L., Kapasi, A., Arfanakis, K., Hachinski, V., . . . Bennett, D. A. (2022). Frequency and Underlying Pathology of Pure Vascular Cognitive Impairment. JAMA Neurol. doi:10.1001/jamaneurol.2022.3472
    27. Podsiadlo, D., & Richardson, S. (1991). The timed "Up & Go": a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc, 39(2), 142-148. doi:10.1111/j.1532-5415.1991.tb01616.x
    28. Polvikoski, T., Sulkava, R., Rastas, S., Sutela, A., Niinisto, L., Notkola, I. L., . . . Haltia, M. (2006). Incidence of dementia in very elderly individuals: a clinical, neuropathological and molecular genetic study. Neuroepidemiology, 26(2), 76-82. doi:10.1159/000090252
    29. Prince, M. J., Wu, F., Guo, Y., Gutierrez Robledo, L. M., O'Donnell, M., Sullivan, R., & Yusuf, S. (2015). The burden of disease in older people and implications for health policy and practice. Lancet, 385(9967), 549-562. doi:10.1016/S0140-6736(14)61347-7
    30. Riley, K. P., Snowdon, D. A., & Markesbery, W. R. (2002). Alzheimer's neurofibrillary pathology and the spectrum of cognitive function: findings from the Nun Study. Ann Neurol, 51(5), 567-577. doi:10.1002/ana.10161
    31. SantaCruz, K. S., Sonnen, J. A., Pezhouh, M. K., Desrosiers, M. F., Nelson, P. T., & Tyas, S. L. (2011). Alzheimer disease pathology in subjects without dementia in 2 studies of aging: the Nun Study and the Adult Changes in Thought Study. J Neuropathol Exp Neurol, 70(10), 832-840. doi:10.1097/NEN.0b013e31822e8ae9
    32. Schmitz-Hubsch, T., du Montcel, S. T., Baliko, L., Berciano, J., Boesch, S., Depondt, C., . . . Fancellu, R. (2006). Scale for the assessment and rating of ataxia: development of a new clinical scale. Neurology, 66(11), 1717-1720. doi:10.1212/01.wnl.0000219042.60538.92
    33. Shelkey, M., & Wallace, M. (1999). Katz Index of Independence in Activities of Daily Living. J Gerontol Nurs, 25(3), 8-9. doi:10.3928/0098-9134-19990301-05
    34. Sonnen, J. A., Larson, E. B., Crane, P. K., Haneuse, S., Li, G., Schellenberg, G. D., . . . Montine, T. J. (2007). Pathological correlates of dementia in a longitudinal, population-based sample of aging. Ann Neurol, 62(4), 406-413. doi:10.1002/ana.21208
    35. Sonnen, J. A., Larson, E. B., Haneuse, S., Woltjer, R., Li, G., Crane, P. K., . . . Montine, T. J. (2009). Neuropathology in the adult changes in thought study: a review. J Alzheimers Dis, 18(3), 703-711. doi:10.3233/JAD-2009-1180
    36. Stephan, B. C. M., Gaughan, D. M., Edland, S., Gudnason, V., Launer, L. J., & White, L. R. (2022). Mid- and later-life risk factors for predicting neuropathological brain changes associated with Alzheimer's and vascular dementia: The Honolulu Asia Aging Study and the Age, Gene/Environment Susceptibility-Reykjavik Study. Alzheimers Dement. doi:10.1002/alz.12762
    37. Tinetti, M. E. (1986). Performance-oriented assessment of mobility problems in elderly patients. J Am Geriatr Soc, 34(2), 119-126. doi:10.1111/j.1532-5415.1986.tb05480.x
    38. Tschanz, J. T., Treiber, K., Norton, M. C., Welsh-Bohmer, K. A., Toone, L., Zandi, P. P., . . . Cache County Study, G. (2005). A population study of Alzheimer's disease: findings from the Cache County Study on Memory, Health, and Aging. Care Manag J, 6(2), 107-114. doi:10.1891/cmaj.6.2.107
    39. van Norden, A. G., de Laat, K. F., Gons, R. A., van Uden, I. W., van Dijk, E. J., van Oudheusden, L. J., . . . de Leeuw, F. E. (2011). Causes and consequences of cerebral small vessel disease. The RUN DMC study: a prospective cohort study. Study rationale and protocol. BMC Neurol, 11, 29. doi:10.1186/1471-2377-11-29
    40. Ware, J. E., Jr., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care, 30(6), 473-483.
    41. Wen, H. B., Zhang, Z. X., Niu, F. S., & Li, L. (2008). The application of Montreal cognitive assessment in urban Chinese residents of Beijing. Zhonghua nei ke za zhi, 47(1), 36-39.
    42. White, L., & Launer, L. (2006). Relevance of cardiovascular risk factors and ischemic cerebrovascular disease to the pathogenesis of Alzheimer disease: a review of accrued findings from the Honolulu-Asia Aging Study. Alzheimer Dis Assoc Disord, 20(3 Suppl 2), S79-83. doi:10.1097/00002093-200607001-00012
    43. White, L., Petrovitch, H., Hardman, J., Nelson, J., Davis, D. G., Ross, G. W., . . . Markesbery, W. R. (2002). Cerebrovascular pathology and dementia in autopsied Honolulu-Asia Aging Study participants. Ann N Y Acad Sci, 977, 9-23. doi:10.1111/j.1749-6632.2002.tb04794.x
    44. Yang, G., Wang, Y., Zeng, Y., Gao, G. F., Liang, X., Zhou, M., . . . Murray, C. J. (2013). Rapid health transition in China, 1990-2010: findings from the Global Burden of Disease Study 2010. Lancet, 381(9882), 1987-2015. doi:10.1016/S0140-6736(13)61097-1
    45. Zaccai, J., Ince, P., & Brayne, C. (2006). Population-based neuropathological studies of dementia: design, methods and areas of investigation--a systematic review. BMC Neurol, 6, 2. doi:10.1186/1471-2377-6-2
    46. Zhang, H., Chen, K., Wang, N., Zhang, D., Yang, Q., Zhang, Q., . . . Ma, C. (2018). Analysis of Brain Donors' Demographic and Medical Characteristics to Facilitate the Construction of a Human Brain Bank in China. J Alzheimers Dis, 66(3), 1245-1254. doi:10.3233/JAD-180779
    47. Zhang, H., Chen, K., Wang, N., Zhang, D., Zhang, Q., Tang, K., . . . Ma, C. (2022). Analysis of Population Representation Among Willed Whole-Body Donors to Facilitate the Construction of a Body Donation Program in China: From the Perspective of Medical Students and Anatomists. Omega (Westport), 84(4), 1146-1159. doi:10.1177/0030222820913717
    48. Zhang, M., Katzman, R., Yu, E., Liu, W., Xiao, S. F., & Yan, H. (1998). A preliminary analysis of incidence of dementia in Shanghai, China. Psychiatry Clin Neurosci, 52 Suppl, S291-294. doi:10.1111/j.1440-1819.1998.tb03248.x

    How to Cite

    Han, Fei, et al. “The Brain Aging National Cohort-PUMC: Study Design and Baseline Characteristics”. Human Brain, vol. 2, no. 2, Mar. 2023, doi:10.37819/hb.2.333.
    ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver
    Download Citation
    Endnote/Zotero/Mendeley (RIS) BibTeX

    HTML
    207

    Total
    84

    Share

    Search Panel

    Fei Han
    Google Scholar
    Pubmed
    JDMFS Journal

    Wen-Ying Qiu
    Google Scholar
    Pubmed
    JDMFS Journal

    Li-Xin Zhou
    Google Scholar
    Pubmed
    JDMFS Journal

    Jun Ni
    Google Scholar
    Pubmed
    JDMFS Journal

    Ming Yao
    Google Scholar
    Pubmed
    JDMFS Journal

    Yong-Tai Liu
    Google Scholar
    Pubmed
    JDMFS Journal

    Bo Hou
    Google Scholar
    Pubmed
    JDMFS Journal

    Rui-Xue Cui
    Google Scholar
    Pubmed
    JDMFS Journal

    Feng Feng
    Google Scholar
    Pubmed
    JDMFS Journal

    Fang Li
    Google Scholar
    Pubmed
    JDMFS Journal

    Chao Ma
    Google Scholar
    Pubmed
    JDMFS Journal

    Yi-Cheng Zhu
    Google Scholar
    Pubmed
    JDMFS Journal

    Downloads

    Article Details

    DOI: https://doi.org/10.37819/hb.2.333

    Published: 2023-03-25

    Most Read This Month

    License

    Copyright (c) 2023 Fei Han, Wen-Ying Qiu, Li-Xin Zhou, Jun Ni, Ming Yao, Yong-Tai Liu, Bo Hou, Rui-Xue Cui, Feng Feng, Fang Li, Ma Chao, Yi-Cheng Zhu

    Creative Commons License

    This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

    Most read articles by the same author(s)

    Copyright © 2023 EurAsia Academic Publishing Group. All rights reserved