Hormonal factors moderate the associations between vascular risk factors and white matter hyperintensities

Aiken, L. S., West, S. G., & Reno, R. R. (1991). Multiple regression: testing and interpreting interactions. Sage.

Alfaro-Almagro, F., Jenkinson, M., Bangerter, N. K., Andersson, J. L. R., Griffanti, L., Douaud, G., & Smith, S. M. (2018). Image processing and quality control for the first 10,000 brain imaging datasets from UK Biobank. NeuroImage, 166, 400–424. https://doi.org/10.1016/j.neuroimage.2017.10.034

Article  Google Scholar 

Alqarni, A., Jiang, J., Crawford, J. D., Koch, F., Brodaty, H., Sachdev, P., & Wen, W. (2021). Sex differences in risk factors for white matter hyperintensities in non-demented older individuals. Neurobiology of Aging, 98, 197–204. https://doi.org/10.1016/j.neurobiolaging.2020.11.001

Article  Google Scholar 

Armstrong, N. J., Mather, K. A., Sargurupremraj, M., Knol, M. J., Malik, R., Satizabal, C. L., & Nyquist, P. A. (2020). Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities. Stroke, 51(7), 2111–2121. https://doi.org/10.1161/STROKEAHA.119.027544

Article  CAS  Google Scholar 

Assareh, A. A., Mather, K. A., Crawford, J. D., Wen, W., Anstey, K. J., Easteal, S., & Sachdev, P. S. (2014). Renin-angiotensin system genetic polymorphisms and brain white matter lesions in older Australians. American Journal of Hypertension, 27(9), 1191–1198. https://doi.org/10.1093/ajh/hpu035

Article  CAS  Google Scholar 

Caughey, M. C., Qiao, Y., Meyer, M. L., Palta, P., Matsushita, K., Tanaka, H., & Heiss, G. (2021). Relationship between central artery stiffness, brain arterial dilation, and white matter hyperintensities in older adults: the ARIC study-brief report. Arteriosclerosis Thrombosis and Vascular Biology, 41(6), 2109–2116. https://doi.org/10.1161/ATVBAHA.120.315692

Article  CAS  Google Scholar 

Cook, I. A., Morgan, M. L., Dunkin, J. J., David, S., Witte, E., Lufkin, R., & Leuchter, A. F. (2002). Estrogen replacement therapy is associated with less progression of subclinical structural brain disease in normal elderly women: a pilot study. International Journal of Geriatric Psychiatry, 17(7), 610–618. https://doi.org/10.1002/gps.644

Article  Google Scholar 

de Kat, A. C., Dam, V., Onland-Moret, N. C., Eijkemans, M. J. C., Broekmans, F. J. M., & van der Schouw, Y. T. (2017). Unraveling the associations of age and menopause with cardiovascular risk factors in a large population-based study. BMC Medicine, 15(1), 2. https://doi.org/10.1186/s12916-016-0762-8

Article  Google Scholar 

de Leeuw, F. E., de Groot, J. C., Achten, E., Oudkerk, M., Ramos, L. M., Heijboer, R., & Breteler, M. M. (2001). Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study. The Rotterdam scan study. Journal of Neurology, Neurosurgery and Psychiatry, 70(1), 9–14. https://doi.org/10.1136/jnnp.70.1.9

Article  Google Scholar 

DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., & Wolf, P. A. (2005). Measures of brain morphology and infarction in the framingham heart study: establishing what is normal. Neurobiology of Aging, 26(4), 491–510. https://doi.org/10.1016/j.neurobiolaging.2004.05.004

Article  Google Scholar 

DuPont, J. J., Kenney, R. M., Patel, A. R., & Jaffe, I. Z. (2019). Sex differences in mechanisms of arterial stiffness. British Journal of Pharmacology, 176(21), 4208–4225. https://doi.org/10.1111/bph.14624

Article  CAS  Google Scholar 

Espeland, M. A., Hayden, K. M., Lockhart, S. N., Yassine, H. N., Hoscheidt, S., & Yasar, S., … Group, f. t. A. f. H. i. D. B. M. R. I. R. (2019). Sex-related differences in brain volumes and cerebral blood flow among overweight and obese adults with type 2 diabetes: Exploratory analyses from the action for health in diabetes brain magnetic resonance imaging study. The Journals of Gerontology: Series A, 75(4),771–778. https://doi.org/10.1093/gerona/glz090

Fatemi, F., Kantarci, K., Graff-Radford, J., Preboske, G. M., Weigand, S. D., Przybelski, S. A., & Vemuri, P. (2018). Sex differences in cerebrovascular pathologies on FLAIR in cognitively unimpaired elderly. Neurology, 90(6), e466–e473. https://doi.org/10.1212/wnl.0000000000004913

Article  Google Scholar 

Filomena, J., Riba-Llena, I., Vinyoles, E., Tovar, J. L., Mundet, X., Castane, X., … Delgado, P. (2015). Short-term blood pressure variability relates to the presence of subclinical brain small vessel disease in primary hypertension. Hypertension, 66(3), 634–640; discussion 445. https://doi.org/10.1161/hypertensionaha.115.05440

Garnier-Crussard, A., Bougacha, S., Wirth, M., André, C., Delarue, M., Landeau, B., & Chételat, G. (2020). White matter hyperintensities across the adult lifespan: relation to age, Aβ load, and cognition. Alzheimer’s Research & Therapy, 12(1), 127. https://doi.org/10.1186/s13195-020-00669-4

Article  CAS  Google Scholar 

Geerlings, M. I., Appelman, A. P., Vincken, K. L., Algra, A., Witkamp, T. D., Mali, W. P., & van der Graaf, Y. (2010). Brain volumes and cerebrovascular lesions on MRI in patients with atherosclerotic disease. The SMART-MR study. Atherosclerosis, 210(1), 130–136. https://doi.org/10.1016/j.atherosclerosis.2009.10.039

Article  CAS  Google Scholar 

Griffanti, L., Jenkinson, M., Suri, S., Zsoldos, E., Mahmood, A., Filippini, N., & Zamboni, G. (2018). Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults. NeuroImage, 170, 174–181. https://doi.org/10.1016/j.neuroimage.2017.03.024

Article  Google Scholar 

Gurol, M. E., Biessels, G. J., & Polimeni, J. R. (2020). Advanced neuroimaging to unravel mechanisms of cerebral small vessel diseases. Stroke, 51(1), 29–37. https://doi.org/10.1161/STROKEAHA.119.024149

Article  Google Scholar 

Habes, M., Sotiras, A., Erus, G., Toledo, J. B., Janowitz, D., Wolk, D. A., & Davatzikos, C. (2018). White matter lesions. Neurology, 91(10), e964. https://doi.org/10.1212/WNL.0000000000006116

Article  Google Scholar 

Jiang, J., Liu, T., Zhu, W., Koncz, R., Liu, H., Lee, T., & Wen, W. (2018). UBO detector - A cluster-based, fully automated pipeline for extracting white matter hyperintensities. NeuroImage, 174, 539–549. https://doi.org/10.1016/j.neuroimage.2018.03.050

Article  Google Scholar 

Jongen, C., van der Grond, J., Kappelle, L. J., Biessels, G. J., Viergever, M. A., Pluim, J. P. W., on behalf of the Utrecht Diabetic Encephalopathy Study. (2007). Automated measurement of brain and white matter lesion volume in type 2 diabetes mellitus. Diabetologia, 50(7), 1509–1516. https://doi.org/10.1007/s00125-007-0688-y

Article  CAS  Google Scholar 

Kim, K. W., MacFall, J. R., & Payne, M. E. (2008). Classification of white matter lesions on magnetic resonance imaging in elderly persons. Biological Psychiatry, 64(4), 273–280. https://doi.org/10.1016/j.biopsych.2008.03.024

Article  Google Scholar 

Kling, J. M., Miller, V. M., Tosakulwong, N., Lesnick, T., & Kantarci, K. (2020). Associations of pituitary-ovarian hormones and white matter hyperintensities in recently menopausal women using hormone therapy. Menopause (New York, N.Y.), 27(8). https://journals.lww.com/menopausejournal/Fulltext/2020/08000/Associations_of_pituitary_ovarian_hormones_and.7.aspx

Lampe, L., Zhang, R., Beyer, F., Huhn, S., Kharabian Masouleh, S., Preusser, S., & Witte, A. V. (2019). Visceral obesity relates to deep white matter hyperintensities via inflammation. Annals of Neurology, 85(2), 194–203. https://doi.org/10.1002/ana.25396

Article  CAS  Google Scholar 

Liu, Y. Y., Hu, L., Ji, C., Chen, D. W., Shen, X., Yang, N., & Zuo, P. P. (2009). Effects of hormone replacement therapy on magnetic resonance imaging of brain parenchyma hyperintensities in postmenopausal women. Acta Pharmacologica Sinica, 30(7), 1065–1070. https://doi.org/10.1038/aps.2009.81

Article  CAS  Google Scholar 

Low, L. F., Anstey, K. J., Maller, J., Kumar, R., Wen, W., Lux, O., & Sachdev, P. (2006). Hormone replacement therapy, brain volumes and white matter in postmenopausal women aged 60–64 years. NeuroReport, 17(1), 101–104. https://doi.org/10.1097/01.wnr.0000194385.10622.8e

Article  Google Scholar 

Maas, A. H. E. M. (2021). Hormone therapy and cardiovascular disease: benefits and harms. Best Practice & Research Clinical Endocrinology & Metabolism, 35(6), 101576. https://doi.org/10.1016/j.beem.2021.101576

Article  CAS  Google Scholar 

Madika, A. L., MacDonald, C. J., Fournier, A., Mounier-Vehier, C., Béraud, G., & Boutron-Ruault, M. C. (2021). Menopausal hormone therapy and risk of incident hypertension: role of the route of estrogen administration and progestogens in the E3N cohort. Menopause (New York, N.Y.), 28(11). https://journals.lww.com/menopausejournal/Fulltext/2021/11000/Menopausal_hormone_therapy_and_risk_of_incident.3.aspx

Miller, K. L., Alfaro-Almagro, F., Bangerter, N. K., Thomas, D. L., Yacoub, E., Xu, J., & Smith, S. M. (2016). Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nature Neuroscience, 19(11), 1523–1536. https://doi.org/10.1038/nn.4393

Article  CAS  Google Scholar 

Miller, V. M., Garovic, V. D., Kantarci, K., Barnes, J. N., Jayachandran, M., Mielke, M. M., & Rocca, W. A. (2013). Sex-specific risk of cardiovascular disease and cognitive decline: pregnancy and menopause. Biology of Sex Differences, 4(1), 6–6. https://doi.org/10.1186/2042-6410-4-6

Article  Google Scholar 

Miller, V. M., Jayachandran, M., Barnes, J. N., Mielke, M. M., Kantarci, K., & Rocca, W. A. (2020). Risk factors of neurovascular ageing in women. Journal of Neuroendocrinology, 32(1), e12777. https://doi.org/10.1111/jne.12777

Article  CAS  Google Scholar 

Moscufo, N., Wolfson, L., Meier, D., Liguori, M., Hildenbrand, P. G., Wakefield, D., & Guttmann, C. R. G. (2012). Mobility decline in the elderly relates to lesion accrual in the splenium of the corpus callosum. Age, 34(2), 405–414. https://doi.org/10.1007/s11357-011-9242-4

Article  Google Scholar 

Mounier-Vehier, C., Angoulvant, T., Boivin, J. M., & Plu-Bureau, G. (2019). [Hypertension and menopausal hormone therapy]. Presse Medicale (Paris, France: 1983), 48(11 Pt 1), 1295–1300. https://doi.org/10.1016/j.lpm.2019.09.027

Nyquist, P. A., Bilgel, M., Gottesman, R., Yanek, L. R., Moy, T. F., Becker, L. C., & Vaidya, D. (2015). Age differences in periventricular and deep white matter lesions. Neurobiology of Aging, 36(4), 1653–1658. https://doi.org/10.1016/j.neurobiolaging.2015.01.005

Article  Google Scholar 

Persyn, E., Hanscombe, K. B., Howson, J. M. M., Lewis, C. M., Traylor, M., & Markus, H. S. (2020). Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants. Nature Communications, 11(1), 2175. https://doi.org/10.1038/s41467-020-15932-3

Article  CAS  Google Scholar 

Raffield, L. M., Cox, A. J., Freedman, B. I., Hugenschmidt, C. E., Hsu, F. C., Wagner, B. C., & Bowden, D. W. (2016). Analysis of the relationships between type 2 diabetes status, glycemic control, and neuroimaging measures in the diabetes heart study mind. Acta Diabetologica, 53(3), 439–447. https://doi.org/10.1007/s00592-015-0815-z

Article  CAS  Google Scholar 

Rossi, R., Grimaldi, T., Origliani, G., Fantini, G., Coppi, F., & Modena, M. G. (2002). Menopause and cardiovascular risk. Pathophysiology of Haemostasis and Thrombosis, 32(5–6), 325–328. https://doi.org/10.1159/000073591

Article  CAS  Google Scholar 

Sachdev, P., Parslow, R., Salonikas, C., Lux, O., Wen, W., Kumar, R., & Jorm, A. (2004). Homocysteine and the brain in midadult life: evidence for an increased risk of leukoaraiosis in men. JAMA Neurology, 61(9), 1369–1376. https://doi.org/10.1001/archneur.61.9.1369

Article  Google Scholar 

Sachdev, P. S., Parslow, R., Wen, W., Anstey, K. J., & Easteal, S. (2009). Sex differences in the causes and consequences of white matter hyperintensities. Neurobiology of Aging, 30(6), 946–956. https://doi.org/10.1016/j.neurobiolaging.2007.08.023

Article  CAS  Google Scholar 

Schmidt, R., Fazekas, F., Reinhart, B., Kapeller, P., Fazekas, G., Offenbacher, H., & Freidl, W. (1996). Estrogen replacement therapy in older women: a neuropsychological and brain MRI study. Journal of the American Geriatrics Society, 44(11), 1307–1313. https://doi.org/10.1111/j.1532-5415.1996.tb01400.x

Article  CAS  Google Scholar 

Schmidt, R., Schmidt, H., Haybaeck, J., Loitfelder, M., Weis, S., Cavalieri, M., & Jellinger, K. (2011). Heterogeneity in age-related white matter changes. Acta Neuropathologica, 122(2), 171–185. https://doi.org/10.1007/s00401-011-0851-x

Article  Google Scholar 

Srinath, R., Gottesman, R. F., Golden, H., Carson, S., & Dobs, A. (2016). Association between endogenous testosterone and cerebrovascular disease in the ARIC study (atherosclerosis risk in communities). Stroke, 47(11), 2682–2688. https://doi.org/10.1161/strokeaha.116.014088

Article  CAS  Google Scholar 

Thurston, R. C., Aizenstein, H. J., Derby, C. A., Sejdić, E., & Maki, P. M. (2016). Menopausal hot flashes and white matter hyperintensities. Menopause (New York, N.Y.), 23(1), 27–32. https://doi.org/10.1097/GME.0000000000000481

van den Heuvel, D. M., Admiraal-Behloul, F., ten Dam, V. H., Olofsen, H., Bollen, E. L., Murray, H. M., & van Buchem, M. A. (2004). Different progression rates for deep white matter hyperintensities in elderly men and women. Neurology, 63(9), 1699–1701. https://doi.org/10.1212/01.wnl.0000143058.40388.44

Article  Google Scholar 

Veldsman, M., Kindalova, P., Husain, M., Kosmidis, I., & Nichols, T. E. (2020). Spatial distribution and cognitive impact of cerebrovascular risk-related white matter hyperintensities. NeuroImage: Clinical, 28, 102405. https://doi.org/10.1016/j.nicl.2020.102405

留言 (0)

沒有登入
gif