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Martin J, Reid N, Ward DD, King S, Hubbard RE, Gordon EH. Investigating Sex Differences in Risk and Protective Factors in the Progression of Mild Cognitive Impairment to Dementia: A Systematic Review. J Alzheimers Dis 2024; 97:101-119. [PMID: 38143350 DOI: 10.3233/jad-230700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
BACKGROUND Developing effective strategies for reducing dementia risk requires a detailed understanding of the risk and protective factors associated with the progression of mild cognitive impairment (MCI) to dementia. OBJECTIVE We aimed to systematically review the evidence for sex differences in these factors. METHODS Five online databases (PubMed/CINAHL/EMBASE/PsycINFO/Cochrane) were searched from inception until 17 October 2022 for cohort studies that focused on sex differences in risk and protective factors in the progression of MCI to dementia. RESULTS A total of 2,972 studies were identified, of which 12 studies from five countries were included in the systematic review. There was substantial variability in study designs, study populations and outcome measures. Sex differences were present in the associations of sociodemographic, health, psychological factors, genetic and other biomarkers with the progression of MCI to dementia. APOE ɛ4 status and depression appeared to increase the risk of progression for females, whereas history of stroke, MRI markers and cerebrospinal fluid biomarkers appeared to increase the risk of progression for males. APOE ɛ2 status and marital status (unmarried) were observed to reduce risk of progression in males and females, respectively. CONCLUSIONS The ability of studies to accurately detail risk factors for dementia are likely limited when solely controlling for the effects of sex. Although the heterogeneity and underpowered nature of the studies made it difficult to synthesize the findings for each risk factor, this study highlights the apparent need for further research examining risk factors for dementia in males and females with MCI separately.
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Affiliation(s)
- Jissa Martin
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Natasha Reid
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - David D Ward
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Shannon King
- Busselton Hospital, WA Country Health Service, Western Australia, Australia
| | - Ruth E Hubbard
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Princess Alexandra Hospital, Metro South Hospital and Health Service, Queensland, Australia
| | - Emily H Gordon
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Princess Alexandra Hospital, Metro South Hospital and Health Service, Queensland, Australia
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Takeuchi H, Kawashima R. Effects of adult education on cognitive function and risk of dementia in older adults: a longitudinal analysis. Front Aging Neurosci 2023; 15:1212623. [PMID: 37680542 PMCID: PMC10480502 DOI: 10.3389/fnagi.2023.1212623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 07/18/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction Mid/late-life cognitive activities are associated with a lower rate of subsequent cognitive decline and lower subsequent dementia risk over time. Methods In this study, we investigated the association between adult education class participation and subsequent cognitive decline and dementia risk over time after adjusting for baseline cognitive function and genetic risk of dementia, correcting for several potential confounding variables, using a large prospective cohort data of participants from the UK Biobank study followed from 2006 to 2010. Results The results revealed that participation in adult education classes at baseline was associated with greater subsequent retention of fluid intelligence score. Cox proportional hazard models revealed that subjects who participated in adult education classes showed a significantly lower risk of incident dementia 5 years after baseline compared with those that did not at baseline. Discussion In this study, we show that participation in adult education classes preceded greater retention of subsequent fluid intelligence and a lower risk of developing dementia after 5 years: this association did not change after adjusting for cognitive function at baseline or genetic predisposition to dementia. Accordingly, participation in such classes could reduce the risk of developing dementia.
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Affiliation(s)
- Hikaru Takeuchi
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Ryuta Kawashima
- Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
- Smart Aging Research Center, Tohoku University, Sendai, Japan
- Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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Feng J, Wang Q, Zhang Y. Ideal vitamin D and handgrip strength counteracts the risk effect of APOE genotype on dementia: a population-based longitudinal study. J Transl Med 2023; 21:355. [PMID: 37246226 DOI: 10.1186/s12967-023-04195-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/14/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND Higher vitamin D concentrations and grip strength contribute to lower individual-level risk of dementia, while apolipoprotein 4 (APOE e4) genotype carries increases dementia risk, but whether combination of ideal vitamin D and grip strength counteracts the risk effect of dementia related to APOE e4 genotype remains unclear. We aimed to investigate the interactions between vitamin D/grip strength and APOE e4 genotype and their association with dementia. METHODS The UK Biobank cohort comprised 165,688 dementia-free participants (aged at least 60 years) for the dementia analysis. Dementia was ascertained using hospital inpatient, mortality, and self-reported data until 2021. Vitamin D and grip strength were collected at baseline and divided into tertiles. APOE genotype was coded as APOE e4 non-carries and APOE e4 carries. Data were analyzed using Cox proportional hazard models and restricted cubic regression splines, with adjusted for known confounders. RESULTS Over the follow-up (median: 12.0 years), 3917 participants developed dementia. In women and men, respectively, compared with to the lowest tertile of vitamin D, the HRs (95% CIs) of dementia were lower in the middle [0.86 (0.76-0.97)/0.80 (0.72-0.90)] and the highest tertile [0.81 (0.72-0.90)/0.73 (0.66-0.81)]. Tertiles of grip strength showed similar patterns. In women and men, respectively, participants who had both highest tertile of vitamin D and grip strength was associated with a lower risk of dementia compared to those with both lowest tertile of these two exposures among APOE e4 genotype carries (HR = 0.56, 95% CI 0.42-0.76, and HR = 0.48, 95% CI 0.36-0.64) and APOE e4 genotype non-carries (HR = 0.56, 95% CI 0.38-0.81, and HR = 0.34, 95% CI 0.24-0.47). There were significant additive interactions between lower vitamin D/grip strength and APOE e4 genotype on dementia among women and men. CONCLUSIONS Higher vitamin D and grip strength were associated with a lower risk of dementia, and seemed to halve the adverse effects of APOE e4 genotype on dementia. Our findings suggested that vitamin D and grip strength may be imperative for estimating the risks of dementia, especially among APOE e4 genotype carries.
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Affiliation(s)
- Jiangtao Feng
- Department of Orthopedics, Tianjin NanKai Hospital, Changjiang Road 6, Tianjin, 300100, China
- Department of Orthopedics, Integrated Chinese and Western Medicine Hospital, Tianjin University, Changjiang Road 6, Tianjin, 300100, China
| | - Qi Wang
- Department of Orthopedics, Tianjin NanKai Hospital, Changjiang Road 6, Tianjin, 300100, China
- Department of Orthopedics, Integrated Chinese and Western Medicine Hospital, Tianjin University, Changjiang Road 6, Tianjin, 300100, China
| | - Yuan Zhang
- Department of Orthopedics, Tianjin NanKai Hospital, Changjiang Road 6, Tianjin, 300100, China.
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
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Feng J, Zheng N, Fan X, Li S, Jiang Y, Yi X, Yang H. Association of laxatives use with incident dementia and modifying effect of genetic susceptibility: a population-based cohort study with propensity score matching. BMC Geriatr 2023; 23:122. [PMID: 36870957 PMCID: PMC9985868 DOI: 10.1186/s12877-023-03854-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
BACKGROUND Constipation was associated with incidence of dementia and cognitive decline. Laxatives are the mainstay of constipation management and are commonly used among older populations for both treatment and prevention of constipation. However, the association between use of laxatives and incident dementia, and whether laxatives use may modify the effect of genetic predisposition on dementia remains unclear. METHODS We applied 1:3 propensity score matching to balance the baseline characteristics of the laxative users versus non-users and to reduce potential confounders using multi-variates adjusted Cox hazards regression models. We categorized genetic risk into three groups (low, middle, and high) through a genetic risk score of common genetic variants. Information on laxatives use was assessed at baseline and categories into four varieties, including bulk forming laxatives, softeners and emollients, osmotic laxatives, and stimulant laxatives. RESULTS Of 486,994 participants, there were 14,422 laxatives users in UK Biobank. After propensity score matching, participants with use of laxatives (n = 14,422) and matched non-laxative (n = 43,266) exposed individuals were enrolled. Over follow-up to 15 years, there were 1377 participants developed dementia (539 for Alzheimer's disease, and 343 for vascular dementia). The use of laxatives had greater risk of dementia (HR, 1.72; 95% CI:1.54-1.92), Alzheimer's disease (HR, 1.36; 95% CI: 1.13-1.63), and vascular dementia (HR, 1.53; 95% CI: 1.23-1.92). Compared to non-laxative exposed participants, those with use of softeners and emollients drugs, stimulant laxatives, and osmotic laxatives were associated with 96% (HR, 1.96; 95 CI: 1.23-3.12; P = 0.005), 80% (HR, 1.80; 95% CI: 1.37-2.37; P < 0.001), and 107% (HR, 2.07; 95% CI: 1.47-2.92; P < 0.001) higher risk of developed incident dementia, respectively. In joint effect analysis, compared to participants with low/middle genetic susceptibility and non-laxatives use, the HR (95% CIs) of dementia was 4.10 (3.49-4.81) for those with high genetic susceptibility plus use of laxatives. There was an additive interaction between laxatives use and genetic susceptibility on dementia (RERI: 0.736, 95% CI: 0.127 to 1.246; AP: 0.180, 95% CI: 0.047 to 0.312). CONCLUSIONS Use of laxatives was associated with higher risk of dementia and modify the effect of genetic susceptibility on dementia. Our findings suggested that attention should be paid to the relationship between laxatives use and dementia, especially in people at high genetic susceptibility.
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Affiliation(s)
- Jiangtao Feng
- Department of Orthopedics, Tianjin NanKai Hospital, Tianjin, 300100, China
| | - Nan Zheng
- Department of Network Security and Informatization, Tianjin Medical University, Tianjin, 300070, China
| | - Xutong Fan
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Qixiangtai Road 22, Heping District, Tianjin, 300070, China
| | - Shu Li
- School of Management, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China
| | - Yuhan Jiang
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Qixiangtai Road 22, Heping District, Tianjin, 300070, China
| | - Xianfu Yi
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Qixiangtai Road 22, Heping District, Tianjin, 300070, China
| | - Hongxi Yang
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Qixiangtai Road 22, Heping District, Tianjin, 300070, China. .,Department of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Qixiangtai Road 22, Heping District, Tianjin, 300070, China.
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Marcisz A, Polanska J. Can T1-Weighted Magnetic Resonance Imaging Significantly Improve Mini-Mental State Examination-Based Distinguishing Between Mild Cognitive Impairment and Early-Stage Alzheimer's Disease? J Alzheimers Dis 2023; 92:941-957. [PMID: 36806505 PMCID: PMC10116132 DOI: 10.3233/jad-220806] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/23/2023] [Indexed: 02/19/2023]
Abstract
BACKGROUND Detecting early-stage Alzheimer's disease (AD) is still problematic in clinical practice. This work aimed to find T1-weighted MRI-based markers for AD and mild cognitive impairment (MCI) to improve the screening process. OBJECTIVE Our assumption was to build a screening model that would be accessible and easy to use for physicians in their daily clinical routine. METHODS The multinomial logistic regression was used to detect status: AD, MCI, and normal control (NC) combined with the Bayesian information criterion for model selection. Several T1-weighted MRI-based radiomic features were considered explanatory variables in the prediction model. RESULTS The best radiomic predictor was the relative brain volume. The proposed method confirmed its quality by achieving a balanced accuracy of 95.18%, AUC of 93.25%, NPV of 97.93%, and PPV of 90.48% for classifying AD versus NC for the European DTI Study on Dementia (EDSD). The comparison of the two models: with the MMSE score only as an independent variable and corrected for the relative brain value and age, shows that the addition of the T1-weighted MRI-based biomarker improves the quality of MCI detection (AUC: 67.04% versus 71.08%) while maintaining quality for AD (AUC: 93.35% versus 93.25%). Additionally, among MCI patients predicted as AD inconsistently with the original diagnosis, 60% from ADNI and 76.47% from EDSD were re-diagnosed as AD within a 48-month follow-up. It shows that our model can detect AD patients a few years earlier than a standard medical diagnosis. CONCLUSION The created method is non-invasive, inexpensive, clinically accessible, and efficiently supports AD/MCI screening.
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Affiliation(s)
- Anna Marcisz
- Department of Data Science and Engineering, The Silesian University of Technology, Gliwice, Poland
| | | | - Joanna Polanska
- Department of Data Science and Engineering, The Silesian University of Technology, Gliwice, Poland
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Eruysal E, Ravdin L, Zhang C, Kamel H, Iadecola C, Ishii M. Sexually Dimorphic Association of Circulating Plasminogen Activator Inhibitor-1 Levels and Body Mass Index with Cerebrospinal Fluid Biomarkers of Alzheimer's Pathology in Preclinical Alzheimer's Disease. J Alzheimers Dis 2023; 91:1073-1083. [PMID: 36565112 PMCID: PMC10518184 DOI: 10.3233/jad-220686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Plasminogen activator inhibitor-1 (PAI-1), an inhibitor of fibrinolysis that is associated with adiposity, has been implicated in Alzheimer's disease (AD) pathogenesis. However, whether circulating PAI-1 levels are altered during preclinical AD remains unclear. OBJECTIVE To measure plasma PAI-1 levels in cognitively normal cerebrospinal fluid (CSF) AD biomarker positive and biomarker negative participants and to examine the association of plasma PAI-1 levels with CSF AD biomarkers and Mini-Mental State Examination (MMSE) scores. METHODS In this cross-sectional study, plasma PAI-1 levels were measured in 155 cognitively normal (Clinical Dementia Rating, CDR 0) non-obese older adults. 29 men and 26 women were classified as preclinical AD by previously established CSF tau/Aβ42 criteria. All analyses were sex stratified due to reported sex differences in PAI-1 expression. RESULTS Plasma PAI-1 levels were associated with body mass index (BMI) but not age in men and women. In men, plasma PAI-1 levels and BMI were lower in preclinical AD compared to control. Plasma PAI-1 levels were positively associated with CSF amyloid-β42 (Aβ42) and CSF Aβ42/Aβ40 and negatively associated with CSF tau/Aβ42, while BMI was positively associated with CSF Aβ42 and negatively associated with CSF p-tau181 and CSF tau/Aβ42. In women, plasma PAI-1 levels and BMI were similar between preclinical AD and control and were not associated with CSF AD biomarkers. For men and women, plasma PAI-1 levels and BMI were not associated with MMSE scores. CONCLUSION These findings suggest that there are significant sex differences in the systemic metabolic changes seen in the preclinical stage of AD.
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Affiliation(s)
- Emily Eruysal
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Lisa Ravdin
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Cenai Zhang
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Hooman Kamel
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Costantino Iadecola
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
| | - Makoto Ishii
- Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
- Department of Neurology, Weill Cornell Medicine, New York, NY, USA
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Wang W, Luo Y, Zhuang Z, Song Z, Huang N, Li Y, Dong X, Xiao W, Zhao Y, Huang T. Total and regional fat-to-muscle mass ratio and risks of incident all-cause dementia, Alzheimer's disease, and vascular dementia. J Cachexia Sarcopenia Muscle 2022; 13:2447-2455. [PMID: 35856185 PMCID: PMC9530585 DOI: 10.1002/jcsm.13054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/24/2022] [Accepted: 06/25/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND The fat-to-muscle mass ratio (FMR), which integrates the antagonistic effects of fat and muscle mass, has been proposed as a useful indicator to assess disease risk independent of overall obesity. However, little is known about the association between FMR and dementia risk. We aimed to prospectively investigate the sex-specific associations between total and regional FMR and incident dementia. METHODS A total of 491 420 participants (223 581 men and 267 839 women; mean age 56.7 ± 8.2 and 56.3 ± 8.0 years old, respectively) free of dementia at baseline from the UK Biobank were included. Fat mass and muscle mass were measured using a bioelectrical impedance assessment device. Cox regression analyses were used to examine the associations of total and regional FMR with incident all-cause dementia, Alzheimer's disease (AD) and vascular dementia (VD). The shape of the associations of the continuous scale of FMR and incident dementia were examined using restricted cubic spline analysis. RESULTS During a median 8.65 years of follow-up, we documented 2 225 incident all-cause dementia cases, including 836 AD and 468 VD cases. There was an L-shaped association between whole body FMR and all-cause dementia risk in both sexes after adjusting body mass index (BMI) and other covariates (P for non-linear <0.001 in men and women), where all-cause dementia risk decreased steeply with increasing FMR and levelled off at around the medians (0.35 in men, 0.61 in women) with a hazard ratio (HR) of 0.78 (95% CI: 0.64, 0.96; P = 0.019) and 0.60 (0.47, 0.77; <0.001) per 1 standard deviation (SD) increase in men and women, respectively. Compared with other body parts, FMR of the leg showed the strongest inverse associations [HR (95% CI; P) per 1 SD below the medians: 0.60 (0.48, 0.75; <0.001); 0.61 (0.47, 0.79; <0.001) in men and women, respectively]. Specifically, the inverse associations of whole body FMR on all-cause dementia risk were significant only among participants over the age of 60 (P for trend <0.001). Multivariable adjusted Cox models showed inverse associations of whole body FMR with AD in men only (P for trend = 0.003), whereas no statistically significant decrease was detected in VD among men and women. CONCLUSIONS Our analyses provide strong evidence for L-shaped associations of total and regional FMR with the development of dementia among participants aged 60 years or older independent of overall obesity.
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Affiliation(s)
- Wenxiu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yongchun Luo
- Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zimin Song
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ninghao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yueying Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xue Dong
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wendi Xiao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yimin Zhao
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.,Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China.,Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China
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Pursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models. Neurobiol Dis 2021; 161:105558. [PMID: 34767943 PMCID: PMC10112395 DOI: 10.1016/j.nbd.2021.105558] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 12/12/2022] Open
Abstract
Alzheimer's disease (AD) is a complex disease that is mediated by numerous factors and manifests in various forms. A systems biology approach to studying AD involves analyses of various body systems, biological scales, environmental elements, and clinical outcomes to understand the genotype to phenotype relationship that potentially drives AD development. Currently, there are many research investigations probing how modifiable and nonmodifiable factors impact AD symptom presentation. This review specifically focuses on how imaging modalities can be integrated into systems biology approaches using model mouse populations to link brain level functional and structural changes to disease onset and progression. Combining imaging and omics data promotes the classification of AD into subtypes and paves the way for precision medicine solutions to prevent and treat AD.
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