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Tan S, Zhao N, Fu Q, Zhu L, Zhang D, Gao L, Cheng Z, Li Z, Zhang D, Bao W, Liu Y, Wang F, Cui B, Zhao Y. Common genetic basis and causality between central nervous system disease and cancer. J Affect Disord 2025; 380:347-356. [PMID: 40122255 DOI: 10.1016/j.jad.2025.03.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 03/19/2025] [Accepted: 03/20/2025] [Indexed: 03/25/2025]
Abstract
The epidemiological associations between central nervous system diseases and cancers have been widely studied, but the shared genetic basis and etiology between these joint phenotypes remain unclear. To explore this issue, we utilized genome-wide association study summary data to investigate the shared genetic architecture and causality between 10 central nervous system diseases and 14 cancers. We employed multiple statistical genetic approaches, including global and local genetic correlation, Mendelian randomization, shared loci and genes, and shared tissues and cell-types to systematically and robustly explore the common genetic basis and causal relationships between central nervous system diseases and cancers. Our results revealed genetic correlations between schizophrenia and both lung cancer and breast cancer, including estrogen receptor-positive breast cancer, as well as between neuroticism and both lung cancer and ovarian cancer, including serous ovarian cancer. We found causal relationships between schizophrenia and lung cancer (OR = 1.14, P = 0.009) and breast cancer (OR = 1.05, P = 3.00 × 10-5). When the whole genome was partitioned, significant local correlations of schizophrenia with breast cancer and lung cancer were further discovered within 14 specific genomic regions. Using cross-trait meta-analysis, we identified 24 pleiotropic loci associated with the two joint phenotypes. Using summary-data-based Mendelian randomization, we further identified eight functional genes shared between schizophrenia and both breast cancer and lung cancer, neuroticism and ovarian cancer. Additionally, we observed consistent patterns of single-nucleotide polymorphism heritability enrichment for schizophrenia and lung cancer in T lymphocytes. Our study provides insights into the genetic underpinnings and causal relationships of comorbidities between central nervous system diseases and cancers.
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Affiliation(s)
- Shiheng Tan
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Ning Zhao
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Qingzhen Fu
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Lin Zhu
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Ding Zhang
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Lijing Gao
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Zesong Cheng
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Zinan Li
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Depei Zhang
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Weiwei Bao
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China
| | - Yanlong Liu
- Department of Colorectal Surgery, Tumor Hospital of Harbin Medical University, Harbin, PR China.
| | - Fan Wang
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China; NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, PR China.
| | - Binbin Cui
- Department of Colorectal Surgery, Tumor Hospital of Harbin Medical University, Harbin, PR China.
| | - Yashuang Zhao
- Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, PR China; NHC Key Laboratory of Etiology and Epidemiology (23618504), Harbin Medical University, Harbin, PR China.
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D'Amico A, Cucunato R, Salemi G, Bella VL, Aridon P. A population based study to analyse amyotrophic lateral sclerosis as a multi-step process. Sci Rep 2025; 15:11189. [PMID: 40169635 PMCID: PMC11962139 DOI: 10.1038/s41598-025-89616-7] [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] [Received: 12/04/2024] [Accepted: 02/06/2025] [Indexed: 04/03/2025] Open
Abstract
Recent studies suggest that Amyotrophic Lateral Sclerosis (ALS) follows a multistep process. We evaluated this hypothesis in a well-defined ALS population in Palermo, Sicily, almost entirely followed by our ALS Clinical Center. Incident data from the ALS Center (2014-2023) were analyzed, including both sporadic and familial ALS forms of the disease. To evaluate the multistep process, we regressed the natural log of age-specific incidence against the natural log of patient age We identified 216 ALS patients. We obtained a slope of 5 (r2 = 0.93); the 95% CI ranged from 2.51 to 7.60, remaining relatively wide due to the small sample size, with a p-value of 0.008. The slope estimate was consistent with a 6-step process. In the Palermo ALS population, the multistep analysis confirms a process consistent with a 6-step model. This data, obtained in a relatively homogeneous population, further highlights the probability of strict interaction between environmental and genetic variables in the disease. Our data offer insights into the complexity of the mechanisms involved in the pathogenesis of the disease, particularly during its asymptomatic phase. This study supports the hypothesis that a single therapeutic silver bullet would probably be insufficient to arrest or slow the disease's progression.
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Affiliation(s)
- Anna D'Amico
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via Gaetano la Loggia n.1, Palermo, 90129, Italy
| | - Roberta Cucunato
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via Gaetano la Loggia n.1, Palermo, 90129, Italy
| | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via Gaetano la Loggia n.1, Palermo, 90129, Italy
| | - Vincenzo La Bella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via Gaetano la Loggia n.1, Palermo, 90129, Italy
| | - Paolo Aridon
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via Gaetano la Loggia n.1, Palermo, 90129, Italy.
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Zhong X, Jia G, Yin Z, Cheng K, Rzhetsky A, Li B, Cox NJ. Longitudinal Analysis of Electronic Health Records Reveals Medical Conditions Associated with Subsequent Alzheimer's Disease Development. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.03.22.25324197. [PMID: 40196258 PMCID: PMC11974777 DOI: 10.1101/2025.03.22.25324197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 04/09/2025]
Abstract
Background Several health conditions are known to increase the risk of Alzheimer's disease (AD). We aim to systematically identify medical conditions that are associated with subsequent development of AD by leveraging the growing resources of electronic health records (EHRs). Methods This retrospective cohort study used de-identified EHRs from two independent databases (MarketScan and VUMC) with 153 million individuals to identify AD cases and age- and gender-matched controls. By tracking their EHRs over a 10-year window before AD diagnosis and comparing the EHRs between AD cases and controls, we identified medical conditions that occur more likely in those who later develop AD. We further assessed the genetic underpinnings of these conditions in relation to AD genetics using data from two large-scale biobanks (BioVU and UK Biobank, total N=450,000). Results We identified 43,508 AD cases and 419,455 matched controls in MarketScan, and 1,320 AD cases and 12,720 matched controls in VUMC. We detected 406 and 102 medical phenotypes that are significantly enriched among the future AD cases in MarketScan and VUMC databases, respectively. In both EHR databases, mental disorders and neurological disorders emerged as the top two most enriched clinical categories. More than 70 medical phenotypes are replicated in both EHR databases, which are dominated by mental disorders (e.g., depression), neurological disorders (e.g., sleep orders), circulatory system disorders (e.g. cerebral atherosclerosis) and endocrine/metabolic disorders (e.g., type 2 diabetes). We identified 19 phenotypes that are either associated with individual risk variants of AD or a polygenic risk score of AD. Conclusions In this study, analysis of longitudinal EHRs from independent large-scale databases enables robust identification of health conditions associated with subsequent development of AD, highlighting potential opportunities of therapeutics and interventions to reduce AD risk.
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Affiliation(s)
- Xue Zhong
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
| | - Gengjie Jia
- Department of Medicine, Institute of Genomics and Systems Biology, University of Chicago, Chicago, IL
| | - Zhijun Yin
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Kerou Cheng
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Andrey Rzhetsky
- Department of Human Genetics, Department of Medicine, University of Chicago, Chicago, IL
| | - Bingshan Li
- Department of Molecular Physiology and Biophysics, Vanderbilt Genetics Institute, Vanderbilt University, Nashville, TN
| | - Nancy J. Cox
- Department of Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN
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Perks CM, Barker RM, Alhadrami M, Alkahtani O, Gill E, Grishaw M, Harland AJ, Henley P, Li H, O’Sullivan E, Stone G, Su X, Kehoe PG. Curious Dichotomies of Apolipoprotein E Function in Alzheimer's Disease and Cancer-One Explanatory Mechanism of Inverse Disease Associations? Genes (Basel) 2025; 16:331. [PMID: 40149482 PMCID: PMC11942319 DOI: 10.3390/genes16030331] [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] [Received: 02/17/2025] [Revised: 03/05/2025] [Accepted: 03/06/2025] [Indexed: 03/29/2025] Open
Abstract
An apparent "inverse" relationship exists between two seemingly unconnected conditions, Alzheimer's disease (AD) and cancer, despite sharing similar risk factors, like increased age and obesity. AD is associated with amyloid beta (Aβ) plaques and neurofibrillary tau tangles that cause neural degeneration; cancer, in contrast, is characterized by enhanced cell survival and proliferation. Apolipoprotein E (ApoE) is the main lipoprotein found in the central nervous system and via its high affinity with lipoprotein receptors plays a critical role in cholesterol transport and uptake. ApoE has 3 protein isoforms, ApoE E2, ApoE E3, and ApoE E4, respectively encoded for by 3 allelic variants of APOE (ε2, ε3, and ε4). This review examines the characteristics and function of ApoE described in both AD and cancer to assimilate evidence for its potential contribution to mechanisms that may underly the reported inverse association between the two conditions. Of the genetic risk factors relevant to most cases of AD, the most well-known with the strongest contribution to risk is APOE, specifically the ε4 variant, whereas for cancer risk, APOE has not featured as a significant genetic contributor to risk. However, at the protein level in both conditions, ApoE contributes to disease pathology via affecting lipid physiology and transport. In AD, Aβ-dependent and -independent interactions have been suggested, whereas in cancer, ApoE plays a role in immunoregulation. Understanding the mechanism of action of ApoE in these diametrically opposed diseases may enable differential targeting of therapeutics to provide a beneficial outcome for both.
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Affiliation(s)
- Claire M. Perks
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Rachel M. Barker
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Mai Alhadrami
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Omar Alkahtani
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Emily Gill
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Mary Grishaw
- Cerebrovascular and Dementia Research Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (M.G.); (P.H.); (E.O.); (G.S.)
| | - Abigail J. Harland
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Peter Henley
- Cerebrovascular and Dementia Research Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (M.G.); (P.H.); (E.O.); (G.S.)
| | - Haonan Li
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Ellie O’Sullivan
- Cerebrovascular and Dementia Research Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (M.G.); (P.H.); (E.O.); (G.S.)
| | - Gideon Stone
- Cerebrovascular and Dementia Research Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (M.G.); (P.H.); (E.O.); (G.S.)
| | - Xiaoyu Su
- Cancer Endocrinology Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (R.M.B.); (M.A.); (O.A.); (E.G.); (A.J.H.); (H.L.); (X.S.)
| | - Patrick G. Kehoe
- Cerebrovascular and Dementia Research Group, Bristol Medical School, Learning & Research Building, Level 2, Southmead Hospital, Bristol BS10 5NB, UK; (M.G.); (P.H.); (E.O.); (G.S.)
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Pérez-Oliveira S, Álvarez I, Menéndez-González M, Duarte-Herrera ID, Blázquez-Estrada M, Castilla-Silgado J, Suárez E, García-Fernández C, Siso-García P, García-González P, Rosende-Roca M, Boada M, Ruiz A, Infante J, De la Casa-Fages B, González-Aramburu I, Álvarez V, Pastor P. HTT, ATXN1 and ATXN2 CAG triplet repeat sizes: exploring their role in the disease risk and cancer comorbidity in Parkinson's disease. Brain Commun 2025; 7:fcaf060. [PMID: 39974178 PMCID: PMC11837329 DOI: 10.1093/braincomms/fcaf060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Revised: 01/07/2025] [Accepted: 02/05/2025] [Indexed: 02/21/2025] Open
Abstract
Parkinson's disease genetic embraces genetic and non-genetic factors. It has been suggested a link between CAG repeat number in the HTT, ATXN1 and ATXN2 genes and different neurodegenerative diseases. Several genetic factors involved in Parkinson's disease development are indeed associated with cancer pathways. Moreover, several studies found a low prevalence of cancer in neurodegenerative diseases that can be associated with a low CAG repeat size in several genes. This study aimed to investigate the influence of CAG repeat sizes in ATXN1, ATXN2 and HTT genes on the risk for developing cancer and Parkinson's disease in a large cohort of patients with idiopathic Parkinson's disease and healthy controls. The work included 1052 patients with idiopathic Parkinson's disease and 1070 controls of European ancestry. CAG repeat sizes in HTT, ATXN1 and ATXN2 genes were analysed. Dunn's multiple comparison test for quantitative variables and logistic and linear regression were used. The long ATXN1 and HTT alleles and CAG size and both the ATXN2 short and long alleles were predictors for the Parkinson's disease risk. The long CAG ATXN1 allele gene was associated with the risk of cancer. No association was observed between CAG size in the HTT and ATXN2 genes and risk of cancer in patients with Parkinson's disease. We described an association of HTT, ATXN1 and ATXN2 with the risk of Parkinson's disease, which reinforce the hypothesis of the common pathway of neurodegeneration. Besides, ATXN1 could be a predictor of cancer risk among patients with Parkinson's disease, and these results suggest that cancer and neurodegeneration processes can share common pathways.
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Affiliation(s)
- Sergio Pérez-Oliveira
- Laboratorio de Genética, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | - Ignacio Álvarez
- Department of Neurology, Movement Disorders Unit, University Hospital Mútua de Terrassa and Fundació Docència i Recerca Mútua de Terrassa, 08221 Terrassa, Barcelona, Spain
| | - Manuel Menéndez-González
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
- Servicio de Neurología, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain
- Departamento de Medicina, Universidad de Oviedo, 33006 Oviedo, Spain
| | - Israel David Duarte-Herrera
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
- Networked Biomedical Research Center (CIBER)—Respiratory Diseases, 28029 Madrid, Spain
| | - Marta Blázquez-Estrada
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
- Servicio de Neurología, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain
- Departamento de Medicina, Universidad de Oviedo, 33006 Oviedo, Spain
| | | | - Esther Suárez
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
- Servicio de Neurología, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain
| | - Ciara García-Fernández
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
- Servicio de Neurología, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain
| | - Pablo Siso-García
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
- Servicio de Neurología, Hospital Universitario de Cabueñes, 33394 Gijón, Spain
| | - Pablo García-González
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, 08028 Barcelona, Spain
| | - Maitee Rosende-Roca
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, 08028 Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Mercè Boada
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, 08028 Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Agustín Ruiz
- Ace Alzheimer Center Barcelona, Universitat Internacional de Catalunya, 08028 Barcelona, Spain
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Jon Infante
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Neurology, Marqués de Valdecilla University Hospital, Universidad de Cantabria, 39008 Santander, Spain
| | - Beatriz De la Casa-Fages
- Department of Neurology, Movement Disorders Unit, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
- Instituto Investigación Sanitaria Gregorio Marañón, 28007 Madrid, Spain
| | - Isabel González-Aramburu
- Networking Research Center on Neurodegenerative Diseases (CIBERNED), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Neurology, Marqués de Valdecilla University Hospital, Universidad de Cantabria, 39008 Santander, Spain
| | - Victoria Álvarez
- Laboratorio de Genética, Hospital Universitario Central de Asturias, 33011 Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011 Oviedo, Spain
| | - Pau Pastor
- Department of Neurology, Unit of Neurodegenerative diseases, University Hospital Germans Trias i Pujol and The Germans Trias i Pujol Research Institute (IGTP) Badalona, 08916 Barcelona, Spain
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Sang H, Lee H, Park J, Kim S, Woo HG, Koyanagi A, Smith L, Lee S, Hwang YC, Park TS, Lim H, Yon DK, Rhee SY. Machine Learning-Based Prediction of Neurodegenerative Disease in Patients With Type 2 Diabetes by Derivation and Validation in 2 Independent Korean Cohorts: Model Development and Validation Study. J Med Internet Res 2024; 26:e56922. [PMID: 39361401 PMCID: PMC11487204 DOI: 10.2196/56922] [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] [Received: 01/31/2024] [Revised: 06/03/2024] [Accepted: 07/26/2024] [Indexed: 10/05/2024] Open
Abstract
BACKGROUND Several machine learning (ML) prediction models for neurodegenerative diseases (NDs) in type 2 diabetes mellitus (T2DM) have recently been developed. However, the predictive power of these models is limited by the lack of multiple risk factors. OBJECTIVE This study aimed to assess the validity and use of an ML model for predicting the 3-year incidence of ND in patients with T2DM. METHODS We used data from 2 independent cohorts-the discovery cohort (1 hospital; n=22,311) and the validation cohort (2 hospitals; n=2915)-to predict ND. The outcome of interest was the presence or absence of ND at 3 years. We selected different ML-based models with hyperparameter tuning in the discovery cohort and conducted an area under the receiver operating characteristic curve (AUROC) analysis in the validation cohort. RESULTS The study dataset included 22,311 (discovery) and 2915 (validation) patients with T2DM recruited between 2008 and 2022. ND was observed in 133 (0.6%) and 15 patients (0.5%) in the discovery and validation cohorts, respectively. The AdaBoost model had a mean AUROC of 0.82 (95% CI 0.79-0.85) in the discovery dataset. When this result was applied to the validation dataset, the AdaBoost model exhibited the best performance among the models, with an AUROC of 0.83 (accuracy of 78.6%, sensitivity of 78.6%, specificity of 78.6%, and balanced accuracy of 78.6%). The most influential factors in the AdaBoost model were age and cardiovascular disease. CONCLUSIONS This study shows the use and feasibility of ML for assessing the incidence of ND in patients with T2DM and suggests its potential for use in screening patients. Further international studies are required to validate these findings.
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Affiliation(s)
- Hyunji Sang
- Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Hojae Lee
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Jaeyu Park
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
| | - Sunyoung Kim
- Department of Family Medicine, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Ho Geol Woo
- Department of Neurology, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Deu, Barcelona, Spain
| | - Lee Smith
- Centre for Health, Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
| | - Sihoon Lee
- Department of Internal Medicine, Gachon University College of Medicine, Incheon, Republic of Korea
| | - You-Cheol Hwang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kyung Hee University Hospital at Gangdong and Kyung Hee University School of Medicine, Seoul, Republic of Korea
| | - Tae Sun Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Research Institute of Clinical Medicine, Jeonbuk National University, Jeonbuk National University Medical School, Jeonju, Republic of Korea
| | - Hyunjung Lim
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, Republic of Korea
| | - Dong Keon Yon
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Pediatrics, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Center for Digital Health, Medical Science Research Institute, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea
- Department of Regulatory Science, Kyung Hee University, Seoul, Republic of Korea
- Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
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7
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Huang LW, Shi Y, Boscardin WJ, Steinman MA. Cognitive Trajectories in Older Adults Diagnosed With Hematologic Malignant Neoplasms. JAMA Netw Open 2024; 7:e2431057. [PMID: 39212987 PMCID: PMC11365001 DOI: 10.1001/jamanetworkopen.2024.31057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 07/01/2024] [Indexed: 09/04/2024] Open
Abstract
Importance More people are surviving long-term after diagnosis with hematologic malignant neoplasm (HMN), yet there are limited data on cancer-related cognitive impairment in people with HMN. Better understanding cognitive outcomes after HMN in older adults is important for patient counseling and management. Objective To model cognitive trajectories and rates of cognitive decline before and after HMN diagnosis in older adults compared with a matched noncancer cohort. Design, Setting, and Participants In this population-based cohort study, older adults from the Health and Retirement Study (HRS) diagnosed with HMN between 1998 and 2016 after age 65 years were matched 1:3 to participants without cancer from the same HRS wave using propensity scores incorporating variables relevant to cognition. Cognitive trajectories were modeled with piecewise linear splines, and rates of cognitive decline before, during, and after diagnosis were compared in the 2 groups. Data were analyzed from April 2022 to April 2024. Exposures HMN diagnosis by Medicare diagnosis codes. Main Outcomes and Measures Cognitive function was assessed by the Langa-Weir cognitive summary score from 1992 to 2020. Sociodemographic and health-related variables relevant to cognition were incorporated into propensity scores. Results At baseline, there were 668 participants in the HMN cohort (mean [SD] age, 76.8 [7.6] years; 343 [51.3%] male; 72 [10.8%] Black, 33 [4.9%] Hispanic, and 585 [87.6%] White) and 1994 participants in the control cohort (mean [SD] age, 76.5 [7.3] years; 1020 [51.2%] male; 226 [11.3%] Black, 91 [4.6%] Hispanic, and 1726 [86.6%] White). The HMN cohort consisted predominantly of more indolent diagnoses, and only 96 patients (14.4%) received chemotherapy. Before and in the 2 years around the time of diagnosis, the HMN and control cohorts had similar rates of cognitive decline. At 1 year postdiagnosis and beyond, the rate of cognitive decline was slower in the HMN cohort (-0.18; 95% CI, -0.23 to -0.14) than in the control group (-0.24; 95% CI, -0.26 to -0.23) (P = .02), but this difference was no longer significant after accounting for the competing risk of death (HMN group, -0.27; 95% CI, -0.34 to -0.19; control group, -0.30; 95% CI, -0.33 to -0.27; P = .48). Conclusions and Relevance In this cohort study of older adults, the HMN and matched noncancer control cohorts had similar rates of cognitive decline before, during, and after diagnosis after accounting for the competing risk of death.
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Affiliation(s)
- Li-Wen Huang
- Division of Hematology/Oncology, Department of Medicine, San Francisco Veterans Affairs Medical Center, California
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco
| | - Ying Shi
- Division of Geriatrics, University of California San Francisco
- San Francisco Veterans Affairs Health Care System, San Francisco, California
| | - W. John Boscardin
- Division of Geriatrics, University of California San Francisco
- San Francisco Veterans Affairs Health Care System, San Francisco, California
- Department of Epidemiology and Biostatistics, University of California San Francisco
| | - Michael A. Steinman
- Division of Geriatrics, University of California San Francisco
- San Francisco Veterans Affairs Health Care System, San Francisco, California
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8
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Alexandre-Silva V, Cominetti MR. Unraveling the dual role of ADAM10: Bridging the gap between cancer and Alzheimer's disease. Mech Ageing Dev 2024; 219:111928. [PMID: 38513842 DOI: 10.1016/j.mad.2024.111928] [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] [Received: 07/07/2023] [Revised: 03/07/2024] [Accepted: 03/18/2024] [Indexed: 03/23/2024]
Abstract
An inverse association between Alzheimer's disease (AD) and cancer has been proposed. Patients with a cancer history have a decreased risk of developing AD, and AD patients have a reduced cancer incidence, which is not seen in vascular dementia patients. Given this association, common molecular and biological mechanisms that could explain this inverse relationship have been proposed before, such as Peptidylprolyl Cis/Trans Isomerase, NIMA-Interacting 1 (Pin1), Wingless and Int-1 (Wnt), and transformation-related protein 53 (p53)-mediated pathways, along with inflammation and oxidative stress-related proteins. A Disintegrin And Metalloprotease 10 (ADAM10) is a protease responsible for the cleavage of key AD- and cancer-related substrates, and it has inverse roles in those diseases: neuroprotective and disease-promoting, respectively. Thus, herein, we review the relevant literature linking AD and cancer and propose how ADAM10 activity might modulate the inverse association between the diseases. Understanding how this protease mediates those two conditions might raise some considerations in the ADAM10 pharmacological modulation for treating AD and cancer.
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9
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Nguyen AV, Soto JM, Digbeu BD, Nguyen CY, Wu E, Huang JH, Kuo YF. Factors associated with longer survival among older medicare patients after diagnosis of supratentorial primary brain malignancies: a retrospective cohort study. Neurol Res 2024; 46:379-390. [PMID: 38415699 DOI: 10.1080/01616412.2024.2323335] [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] [Received: 04/09/2023] [Accepted: 02/21/2024] [Indexed: 02/29/2024]
Abstract
OBJECTIVES Despite recent advances, the prognosis for primary malignant brain tumors (PMBTs) remains poor. Some commonly prescribed medications may exhibit anti-tumor properties in various cancers, and neurodegenerative diseases may activate pathways that counteract gliomagenesis. Our study is focused on determining if there is a correlation between the use of metformin, beta-blockers, angiotensin converting enzyme inhibitors (ACEIs), and angiotensin receptor blockers (ARBs), or the presence of Parkinson's disease (PD), and the survival rates following a diagnosis of a PMBT. METHODS This analysis of the 100% Texas Medicare Database identified patients aged 66+ years diagnosed with a supratentorial PMBT from 2014-2017. Cox proportional hazards regression was employed to analyze survival following diagnosis and associations of survival with surgical intervention, radiation, PD diagnosis, and prescription of metformin, beta-blockers, ACEIs, or ARBs. RESULTS There were 1,943 patients who met study criteria, and the median age was 74 years. When medication utilization was stratified by none, pre-diagnosis only, post-diagnosis only, or both pre- and post-diagnosis (continuous), continuous utilization of metformin, beta-blockers, ACEIs, or ARBs was associated with prolonged survival compared to no utilization (hazard ratio [HR]:0.45, 95% CI:0.33-0.62; HR:0.71. 95% CI:0.59-0.86; HR:0.59, 95% CI:0.48-0.72; and HR:0.45, 95% CI:0.35-0.58 respectively). PD was also associated with longer survival (HR:0.59-0.63 across the four models). DISCUSSION Our study suggests that metformin, beta-blockers, ACEIs, ARBs, and comorbid PD are associated with a survival benefit among geriatric Medicare patients with supratentorial PMBTs.
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Affiliation(s)
- Anthony V Nguyen
- Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, USA
| | - Jose M Soto
- Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, USA
| | - Biai D Digbeu
- Department of Biostatistics and Data Science, Office of Biostatistics, University of Texas Medical Branch, Galveston, TX, USA
| | - Christine Y Nguyen
- Department of Internal Medicine, Baylor Scott & White Health, Scott and White Medical Center, Temple, TX, USA
| | - Erxi Wu
- Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, USA
- Department of Surgery, Texas A&M University School of Medicine, Temple, TX, USA
- Department of Neurosurgery, Baylor College of Medicine, Temple, TX, USA
- Department of Pharmaceutical Sciences, Texas A&M University School of Pharmacy, College Station, TX, USA
- LIVESTRONG Cancer Institutes and Department of Oncology, Dell Medical School, the University of Texas at Austin, Austin, TX, USA
| | - Jason H Huang
- Department of Neurosurgery, Baylor Scott & White Health, Temple, TX, USA
- Department of Surgery, Texas A&M University School of Medicine, Temple, TX, USA
- Department of Neurosurgery, Baylor College of Medicine, Temple, TX, USA
| | - Yong-Fang Kuo
- Department of Biostatistics and Data Science, Office of Biostatistics, University of Texas Medical Branch, Galveston, TX, USA
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10
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Rojas-Saunero LP, van der Willik KD, Schagen SB, Ikram MA, Swanson SA. Towards a Clearer Causal Question Underlying the Association Between Cancer and Dementia. Epidemiology 2024; 35:281-288. [PMID: 38442423 PMCID: PMC11022995 DOI: 10.1097/ede.0000000000001712] [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] [Received: 11/03/2021] [Accepted: 11/30/2023] [Indexed: 03/07/2024]
Abstract
BACKGROUND Several observational studies have described an inverse association between cancer diagnosis and subsequent dementia risk. Multiple biologic mechanisms and potential biases have been proposed in attempts to explain this association. One proposed explanation is the opposite expression of Pin1 in cancer and dementia, and we use this explanation and potential drug target to illustrate the required assumptions and potential sources of bias for inferring an effect of Pin1 on dementia risk from analyses measuring cancer diagnosis as a proxy for Pin1 expression. METHODS We used data from the Rotterdam Study, a population-based cohort. We estimate the association between cancer diagnosis (as a proxy for Pin1) and subsequent dementia diagnosis using two different proxy methods and with confounding and censoring for death addressed with inverse probability weights. We estimate and compare the complements of a weighted Kaplan-Meier survival estimator at 20 years of follow-up. RESULTS Out of 3634 participants, 899 (25%) were diagnosed with cancer, of whom 53 (6%) had dementia, and 567 (63%) died. Among those without cancer, 15% (411) were diagnosed with dementia, and 667 (24%) died over follow-up. Depending on the confounding and selection bias control, and the way in which cancer was used as a time-varying proxy exposure, the risk ratio for dementia diagnosis ranged from 0.71 (95% confidence interval [CI] = 0.49, 0.95) to 1.1 (95% CI = 0.79, 1.3). CONCLUSION Being explicit about the underlying mechanism of interest is key to maximizing what we can learn from this cancer-dementia association given available or readily collected data, and to defining, detecting, and preventing potential biases.
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Affiliation(s)
- L. Paloma Rojas-Saunero
- From the Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA
| | | | - Sanne B. Schagen
- Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Brain and Cognition, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - M. Arfan Ikram
- From the Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sonja A. Swanson
- From the Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA
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11
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Ren F, Yang C, Feng K, Shang Q, Liu J, Kang X, Wang X, Wang X. An exploration of causal relationships between nine neurological diseases and the risk of breast cancer: a Mendelian randomization study. Aging (Albany NY) 2024; 16:7101-7118. [PMID: 38663930 PMCID: PMC11087125 DOI: 10.18632/aging.205745] [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] [Received: 09/04/2023] [Accepted: 03/18/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND Some preceding researches have observed that certain neurological disorders, such as Alzheimer's disease and multiple sclerosis, may affect breast cancer risk. However, whether there are causal relationships between these neurological conditions and breast cancer is inconclusive. This study was designed to explore whether neurological disorders affected the risks of breast cancer overall and of the two subtypes (ER+ and ER-). METHODS In the course of this study, genome-wide association study (GWAS) data for nine neurological diseases (Alzheimer's disease, multiple sclerosis, Parkinson's disease, myasthenia gravis, generalized epilepsy, intracerebral haemorrhage, cerebral atherosclerosis, brain glioblastoma, and benign meningeal tumour) were collected from the Complex Trait Genetics lab and the MRC Integrative Epidemiology Unit, and single-nucleotide polymorphisms (SNPs) extensively associated with these neurological ailments had been recognized as instrumental variables (IVs). GWAS data on breast cancer were collected from the Breast Cancer Association Consortium (BCAC). Two-sample Mendelian randomization (MR) analyses as well as multivariable MR analyses were performed to determine whether these SNPs contributed to breast cancer risk. Additionally, the accuracy of the results was evaluated using the false discovery rate (FDR) multiple correction method. Both heterogeneity and pleiotropy were evaluated by analyzing sensitivities. RESULTS According to the results of two-sample MR analyses, Alzheimer's disease significantly reduced the risks of overall (OR 0.925, 95% CI [0.871-0.982], P = 0.011) and ER+ (OR 0.912, 95% CI [0.853-0.975], P = 0.007) breast cancer, but there was a negative result in ER- breast cancer. However, after multiple FDR corrections, the effect of Alzheimer's disease on overall breast cancer was not statistically significant. In contrast, multiple sclerosis significantly increased ER+ breast cancer risk (OR 1.007, 95% CI [1.003-1.011], P = 0.001). In addition, the multivariable MR analyses showed that Alzheimer's disease significantly reduced the risk of ER+ breast cancer (IVW: OR 0.929, 95% CI [0.864-0.999], P=0.047; MR-Egger: OR 0.916, 95% CI [0.846-0.992], P=0.031); however, multiple sclerosis significantly increased the risk of ER+ breast cancer (IVW: OR 1.008, 95% CI [1.003-1.012], P=4.35×10-4; MR-Egger: OR 1.008, 95% CI [1.003-1.012], P=5.96×10-4). There were no significant associations between the remainder of the neurological diseases and breast cancer. CONCLUSIONS This study found the trends towards a decreased risk of ER+ breast cancer in patients with Alzheimer's disease and an increased risk in patients with multiple sclerosis. However, due to the limitations of Mendelian randomization, we cannot determine whether there are definite causal relationships between neurological diseases and breast cancer risk. For conclusive evidences, more prospective randomized controlled trials will be needed in the future.
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Affiliation(s)
- Fei Ren
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Chenxuan Yang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Kexin Feng
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Qingyao Shang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jiaxiang Liu
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xiyu Kang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xin Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Xiang Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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12
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Lissek T. Aging as a Consequence of the Adaptation-Maladaptation Dilemma. Adv Biol (Weinh) 2024; 8:e2300654. [PMID: 38299389 DOI: 10.1002/adbi.202300654] [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] [Received: 11/30/2023] [Revised: 01/11/2024] [Indexed: 02/02/2024]
Abstract
In aging, the organism is unable to counteract certain harmful influences over its lifetime which leads to progressive dysfunction and eventually death, thus delineating aging as one failed process of adaptation to a set of aging stimuli. A central problem in understanding aging is hence to explain why the organism cannot adapt to these aging stimuli. The adaptation-maladaptation theory of aging proposes that in aging adaptation processes such as adaptive transcription, epigenetic remodeling, and metabolic plasticity drive dysfunction themselves over time (maladaptation) and thereby cause aging-related disorders such as cancer and metabolic dysregulation. The central dilemma of aging is thus that the set of adaptation mechanisms that the body uses to deal with internal and external stressors acts as a stressor itself and cannot be effectively counteracted. The only available option for the organism to decrease maladaptation may be a program to progressively reduce the output of adaptive cascades (e.g., via genomic methylation) which then leads to reduced physiological adaptation capacity and syndromes like frailty, immunosenescence, and cognitive decline. The adaptation-maladaptation dilemma of aging entails that certain biological mechanisms can simultaneously protect against aging as well as drive aging. The key to longevity may lie in uncoupling adaptation from maladaptation.
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Affiliation(s)
- Thomas Lissek
- Interdisciplinary Center for Neurosciences, Heidelberg University, Im Neuenheimer Feld 366, 69120, Heidelberg, Germany
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13
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Yeo IJ, Yu JE, Kim SH, Kim DH, Jo M, Son DJ, Yun J, Han SB, Hong JT. TNF receptor 2 knockout mouse had reduced lung cancer growth and schizophrenia-like behavior through a decrease in TrkB-dependent BDNF level. Arch Pharm Res 2024; 47:341-359. [PMID: 38592583 PMCID: PMC11045614 DOI: 10.1007/s12272-024-01487-0] [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] [Received: 04/04/2023] [Accepted: 03/07/2024] [Indexed: 04/10/2024]
Abstract
The relationship between schizophrenia (SCZ) and cancer development remains controversial. Based on the disease-gene association platform, it has been revealed that tumor necrosis factor receptor (TNFR) could be an important mediatory factor in both cancer and SCZ development. TNF-α also increases the expression of brain-derived neurotrophic factor (BDNF) and tropomyosin receptor kinase B (TrkB) in the development of SCZ and tumor, but the role of TNFR in mediating the association between the two diseases remains unclear. We studied the vital roles of TNFR2 in the progression of tumor and SCZ-like behavior using A549 lung cancer cell xenografted TNFR2 knockout mice. TNFR2 knockout mice showed significantly decreased tumor size and weight as well as schizophrenia-like behaviors compared to wild-type mice. Consistent with the reduced tumor growth and SCZ-like behaviors, the levels of TrkB and BDNF expression were significantly decreased in the lung tumor tissues and pre-frontal cortex of TNFR2 knockout mice. However, intravenous injection of BDNF (160 μg/kg) to TNFR2 knockout mice for 4 weeks increased tumor growth and SCZ-like behaviors as well as TrkB expression. In in vitro study, significantly decreased cell growth and expression of TrkB and BDNF by siTNFR2 transfection were found in A549 lung cancer cells. However, the addition of BDNF (100 ng/ml) into TNFR2 siRNA transfected A549 lung cancer cells recovered cell growth and the expression of TrkB. These results suggest that TNFR2 could be an important factor in mediating the comorbidity between lung tumor growth and SCZ development through increased TrkB-dependent BDNF levels.
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MESH Headings
- Animals
- Brain-Derived Neurotrophic Factor/metabolism
- Brain-Derived Neurotrophic Factor/genetics
- Mice, Knockout
- Lung Neoplasms/pathology
- Lung Neoplasms/metabolism
- Lung Neoplasms/genetics
- Humans
- Mice
- Schizophrenia/metabolism
- Schizophrenia/genetics
- Receptors, Tumor Necrosis Factor, Type II/metabolism
- Receptors, Tumor Necrosis Factor, Type II/genetics
- Receptors, Tumor Necrosis Factor, Type II/deficiency
- Receptor, trkB/metabolism
- Receptor, trkB/genetics
- A549 Cells
- Male
- Behavior, Animal/drug effects
- Cell Proliferation/drug effects
- Mice, Inbred C57BL
- Membrane Glycoproteins/genetics
- Membrane Glycoproteins/metabolism
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Affiliation(s)
- In Jun Yeo
- College of Pharmacy, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, Republic of Korea
| | - Ji Eun Yu
- College of Pharmacy, Mokpo National University, 1666, Yeongsan-ro, Muan-gun, Jeonnam, 58554, Republic of Korea
| | - Sung-Hyun Kim
- College of Pharmacy and Medical Research Center, Chungbuk National University, 194-31 Osongsaengmyeong 1-ro, Osong-eup, Heungdeok-gu, Cheongju, Chungbuk, 28160, Republic of Korea
| | - Dae Hwan Kim
- College of Pharmacy and Medical Research Center, Chungbuk National University, 194-31 Osongsaengmyeong 1-ro, Osong-eup, Heungdeok-gu, Cheongju, Chungbuk, 28160, Republic of Korea
| | - Miran Jo
- College of Pharmacy and Medical Research Center, Chungbuk National University, 194-31 Osongsaengmyeong 1-ro, Osong-eup, Heungdeok-gu, Cheongju, Chungbuk, 28160, Republic of Korea
| | - Dong Ju Son
- College of Pharmacy and Medical Research Center, Chungbuk National University, 194-31 Osongsaengmyeong 1-ro, Osong-eup, Heungdeok-gu, Cheongju, Chungbuk, 28160, Republic of Korea
| | - Jaesuk Yun
- College of Pharmacy and Medical Research Center, Chungbuk National University, 194-31 Osongsaengmyeong 1-ro, Osong-eup, Heungdeok-gu, Cheongju, Chungbuk, 28160, Republic of Korea
| | - Sang-Bae Han
- College of Pharmacy and Medical Research Center, Chungbuk National University, 194-31 Osongsaengmyeong 1-ro, Osong-eup, Heungdeok-gu, Cheongju, Chungbuk, 28160, Republic of Korea.
| | - Jin Tae Hong
- College of Pharmacy and Medical Research Center, Chungbuk National University, 194-31 Osongsaengmyeong 1-ro, Osong-eup, Heungdeok-gu, Cheongju, Chungbuk, 28160, Republic of Korea.
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Ahmed GY, Osman AA, Mukhtar A. Acetylcholinesterase enzyme among cancer patients a potential diagnostic and prognostic indicator a multicenter case-control study. Sci Rep 2024; 14:5127. [PMID: 38429330 PMCID: PMC10907625 DOI: 10.1038/s41598-024-55604-6] [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] [Received: 08/19/2023] [Accepted: 02/26/2024] [Indexed: 03/03/2024] Open
Abstract
Acetylcholinesterase enzyme (AChE) activity is impaired by a variety of inhibitors including organophosphorus pesticides, leading to the accumulation of acetylcholine. In this study, we aimed to determine the association between cancer and the blood level of the (AChE). This is a multicenter hospital-based case-control study conducted in the Radiation and Isotopes Center Khartoum, and Institute of Nuclear Medicine and Molecular Biology and Oncology Gezira. One hundred and fifty participants, half of them cancer patients and half cancer free were recruited. All participants were screened for demographic, environmental, occupational, and clinical characteristics. Blood for the (AChE) activity test was drawn from participants in the two groups. The mean age of the participants was 40.6 ± 14.8 years. Geographical distribution showed the Central Region of Sudan had the highest rate of cancer, followed by North State, Khartoum State, West State, and East State. The most common tumor subtype was breast cancer, followed by leukemia, colon, esophageal, and prostate cancer. Inferential analysis revealed significantly impaired (AChE) activity among cancer patients compared to controls (53.4 ± 20.3% vs. 93.8 ± 8.8, p-value 0.001). There was a significant statistical association between impaired (AChE) activity and cancer. (AChE) activity might be applied in the future as a diagnostic biomarker and therapeutic target. Further large sample and molecular studies are recommended.
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Affiliation(s)
- Gasmelseed Y Ahmed
- Columbia University Hospital, New York, NY, USA
- Faculty of Medicine, and Health Sciences, Managil University for Sciences & Technology, Managil, Sudan
| | | | - Ahlam Mukhtar
- Stack Laboratory, Federal Ministry of Health, Khartoum, Sudan
- Radiation and Isotopes Center Khartoum, Federal Ministry of Health, Khartoum, Sudan
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15
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Yuan C, Liu S, Yang K, Xie F, Li Y, Guo Y, Zhao W, Zhang J, Cheng Z. Causal association between colorectal cancer and Alzheimer's disease: a bidirectional two-sample mendelian randomization study. Front Genet 2024; 14:1180905. [PMID: 38250575 PMCID: PMC10797121 DOI: 10.3389/fgene.2023.1180905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 12/11/2023] [Indexed: 01/23/2024] Open
Abstract
Background: Colorectal cancer and Alzheimer's disease are both common life-threatening diseases in the elderly population. Some studies suggest a possible inverse relationship between colorectal cancer and Alzheimer's disease, but real-world research is subject to many biases. We hope to clarify the causal relationship between the two through a bidirectional two-sample Mendelian randomization study. Methods: In our study, we used genetic summary data from large-scale genome-wide association studies to investigate the relationship between colorectal cancer and Alzheimer's disease. Our primary analysis employed the inverse-variance weighted method and we also used complementary techniques, including MR-Egger, weighted median estimator, and Maximum likelihood. We applied simex adjustment to the MR-Egger results. We also utilized the MRlap package to detect potential sample overlap and its impact on the bias of the results. In addition, we performed several sensitivity and heterogeneity analyses, to ensure the reliability of our results. Results: The combined effect size results of the inverse-variance weighted method indicate that colorectal cancer may decrease the incidence of Alzheimer's disease, with an odds ratio (OR) of 0.846 (95% CI: 0.762-0.929). Similar results were observed using other methods such as MR-Egger, weighted median estimator, and Maximum likelihood. On the other hand, Alzheimer's disease may slightly increase the incidence of colorectal cancer, with an OR of 1.014 (95% CI: 1.001-1.027). However, the results of one subgroup were not significant, and the results from MRlap indicated that sample overlap introduced bias into the results. Therefore, the results of the reverse validation are not reliable. The F-statistic for all SNPs was greater than 20. Four SNPs related to the outcome were excluded using Phenoscanner website but the adjustment did not affect the overall direction of the results. The results of these statistics were further validated by MR-PRESSO, funnel plots, leave-one-out analyses, Cochran's Q, demonstrating the reliability of the findings. Conclusion: According to the findings of this Mendelian randomization study, there appears to be a causal association between colorectal cancer and Alzheimer's disease. These results could have important implications for clinical practice in terms of how colorectal cancer and Alzheimer's disease are treated. To better understand the relationship between these two diseases, more research and screening are needed in clinical settings.
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Affiliation(s)
- Chunsheng Yuan
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Saisai Liu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Dermatology, China-Japan Friendship Hospital, Beijing, China
| | - Kezhen Yang
- School of Acupuncture-Moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing, China
| | - Feiyu Xie
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Oncology Department, Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Yinan Li
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Oncology Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medicine University, Beijing, China
| | - Yantong Guo
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Wenjun Zhao
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Jincheng Zhang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Zhiqiang Cheng
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
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16
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Li Y, Xu X, Wang P, Chen X, Yang Q, Sun L, Gao X. Association of Cancer History with Lifetime Risk of Dementia and Alzheimer's Disease. J Alzheimers Dis 2024; 98:1319-1328. [PMID: 38517790 DOI: 10.3233/jad-231223] [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: 03/24/2024]
Abstract
Background The literature presents conflicting results regarding the potential protective effect of prevalent cancer on the development of dementia and Alzheimer's disease (AD). Objective Association between cancer and subsequent risk of dementia and/or AD was reported previously, but survival bias has been of concern. Here, we aimed to calculate the lifetime risk of dementia and AD and evaluate the association of cancer history with these two conditions. Methods In this retrospective analysis, we included 292,654 participants aged 60+ y during the follow-up and free of dementia at baseline, within the UK Biobank cohort. Lifetime risks of dementia and AD were estimated in individuals with and without cancer history, and different durations of cancer exposure and cancer types. Results During a median of 12.5 follow-up years, 5,044 new dementia and 2,141 AD cases were reported. Lifetime risks of dementia and AD were lower in cancer survivors compared to those without cancer, and this effect was more pronounced in participants with cancer history exposure≥5 years. Similar relationship was observed in individual cancer types, except for breast cancer. Conclusions Results suggested an inverse association between cancer history and lifetime risk of dementia and AD, which may be modified by different cancer types and cancer exposure time.
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Affiliation(s)
- Yaqi Li
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Xinming Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Peilu Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Xiqun Chen
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Qishan Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Liang Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
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17
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Faria Assoni A, Giove Mitsugi T, Wardenaar R, Oliveira Ferreira R, Farias Jandrey EH, Machado Novaes G, Fonseca de Oliveira Granha I, Bakker P, Kaid C, Zatz M, Foijer F, Keith Okamoto O. Neurodegeneration-associated protein VAPB regulates proliferation in medulloblastoma. Sci Rep 2023; 13:19481. [PMID: 37945695 PMCID: PMC10636017 DOI: 10.1038/s41598-023-45319-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 10/18/2023] [Indexed: 11/12/2023] Open
Abstract
VAMP (Vesicle-associated membrane protein)-associated protein B and C (VAPB) has been widely studied in neurodegenerative diseases such as ALS, but little is known about its role in cancer. Medulloblastoma is a common brain malignancy in children and arises from undifferentiated cells during neuronal development. Therefore, medulloblastoma is an interesting model to investigate the possible relationship between VAPB and tumorigenesis. Here we demonstrate that high VAPB expression in medulloblastoma correlates with decreased overall patient survival. Consistent with this clinical correlation, we find that VAPB is required for normal proliferation rates of medulloblastoma cells in vitro and in vivo. Knockout of VAPB (VAPBKO) delayed cell cycle progression. Furthermore, transcript levels of WNT-related proteins were decreased in the VAPBKO. We conclude that VAPB is required for proliferation of medulloblastoma cells, thus revealing VAPB as a potential therapeutic target for medulloblastoma treatment.
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Affiliation(s)
- Amanda Faria Assoni
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil.
- European Research Institute for the Biology of Ageing, University of Groningen, 1, Antonius Deusinglaan, 9713 AV, Groningen, The Netherlands.
| | - Thiago Giove Mitsugi
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil
| | - René Wardenaar
- European Research Institute for the Biology of Ageing, University of Groningen, 1, Antonius Deusinglaan, 9713 AV, Groningen, The Netherlands
| | - Raiane Oliveira Ferreira
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil
| | - Elisa Helena Farias Jandrey
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil
| | - Gabriela Machado Novaes
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil
| | - Isabela Fonseca de Oliveira Granha
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil
| | - Petra Bakker
- European Research Institute for the Biology of Ageing, University of Groningen, 1, Antonius Deusinglaan, 9713 AV, Groningen, The Netherlands
| | - Carolini Kaid
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil
| | - Mayana Zatz
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil
| | - Floris Foijer
- European Research Institute for the Biology of Ageing, University of Groningen, 1, Antonius Deusinglaan, 9713 AV, Groningen, The Netherlands.
| | - Oswaldo Keith Okamoto
- Human Genome and Stem Cell Research Center, Institute of Biosciences, University of São Paulo, 106, Rua do Matão, Cidade Universitária, São Paulo, 05508-090, Brazil.
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18
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Sánchez-Valle J, Valencia A. Molecular bases of comorbidities: present and future perspectives. Trends Genet 2023; 39:773-786. [PMID: 37482451 DOI: 10.1016/j.tig.2023.06.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/12/2023] [Accepted: 06/12/2023] [Indexed: 07/25/2023]
Abstract
Co-occurrence of diseases decreases patient quality of life, complicates treatment choices, and increases mortality. Analyses of electronic health records present a complex scenario of comorbidity relationships that vary by age, sex, and cohort under study. The study of similarities between diseases using 'omics data, such as genes altered in diseases, gene expression, proteome, and microbiome, are fundamental to uncovering the origin of, and potential treatment for, comorbidities. Recent studies have produced a first generation of genetic interpretations for as much as 46% of the comorbidities described in large cohorts. Integrating different sources of molecular information and using artificial intelligence (AI) methods are promising approaches for the study of comorbidities. They may help to improve the treatment of comorbidities, including the potential repositioning of drugs.
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Affiliation(s)
- Jon Sánchez-Valle
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, 08034, Spain.
| | - Alfonso Valencia
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, 08034, Spain; ICREA, Barcelona, 08010, Spain.
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19
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Wang J, Buto P, Ackley SF, Kobayashi LC, Graff RE, Zimmerman SC, Hayes-Larson E, Mayeda ER, Asiimwe SB, Calmasini C, Glymour MM. Association between cancer and dementia risk in the UK Biobank: evidence of diagnostic bias. Eur J Epidemiol 2023; 38:1069-1079. [PMID: 37634228 PMCID: PMC10854217 DOI: 10.1007/s10654-023-01036-x] [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] [Received: 12/08/2022] [Accepted: 07/28/2023] [Indexed: 08/29/2023]
Abstract
Epidemiological studies have identified an inverse association between cancer and dementia. Underlying methodological biases have been postulated, yet no studies have systematically investigated the potential for each source of bias within a single dataset. We used the UK Biobank to compare estimates for the cancer-dementia association using different analytical specifications designed to sequentially address multiple sources of bias, including competing risk of death, selective survival, confounding bias, and diagnostic bias. We included 140,959 UK Biobank participants aged ≥ 55 without dementia before enrollment and with linked primary care data. We used cancer registry data to identify cancer cases prevalent before UK Biobank enrollment and incident cancer diagnosed after enrollment. We used Cox models to evaluate associations of prevalent and incident cancer with all-cause dementia, Alzheimer's disease (AD), and vascular dementia. We used time-varying models to evaluate diagnostic bias. Over a median follow-up of 12.3 years, 3,310 dementia cases were diagnosed. All-site incident cancer was positively associated with all-cause dementia incidence (hazard ratio [HR] = 1.14, 95% CI: 1.02-1.29), but prevalent cancer was not (HR = 1.04, 95% CI: 0.92-1.17). Results were similar for vascular dementia. AD was not associated with prevalent or incident cancer. Dementia diagnosis was substantially elevated in the first year after cancer diagnosis (HR = 1.83, 95% CI: 1.42-2.36), after which the association attenuated to null, suggesting diagnostic bias. Following a cancer diagnosis, health care utilization or cognitive consequences of diagnosis or treatment may increase chance of receiving a dementia diagnosis, creating potential diagnostic bias in electronic health records-based studies.
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Affiliation(s)
- Jingxuan Wang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Peter Buto
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Sarah F Ackley
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Lindsay C Kobayashi
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Scott C Zimmerman
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Eleanor Hayes-Larson
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Elizabeth Rose Mayeda
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
| | - Stephen B Asiimwe
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Camilla Calmasini
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - M Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
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20
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Rojas-Saunero LP, Young JG, Didelez V, Ikram MA, Swanson SA. Considering Questions Before Methods in Dementia Research With Competing Events and Causal Goals. Am J Epidemiol 2023; 192:1415-1423. [PMID: 37139580 PMCID: PMC10403306 DOI: 10.1093/aje/kwad090] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 02/15/2023] [Accepted: 04/13/2023] [Indexed: 05/05/2023] Open
Abstract
Studying causal exposure effects on dementia is challenging when death is a competing event. Researchers often interpret death as a potential source of bias, although bias cannot be defined or assessed if the causal question is not explicitly specified. Here we discuss 2 possible notions of a causal effect on dementia risk: the "controlled direct effect" and the "total effect." We provide definitions and discuss the "censoring" assumptions needed for identification in either case and their link to familiar statistical methods. We illustrate concepts in a hypothetical randomized trial on smoking cessation in late midlife, and emulate such a trial using observational data from the Rotterdam Study, the Netherlands, 1990-2015. We estimated a total effect of smoking cessation (compared with continued smoking) on 20-year dementia risk of 2.1 (95% confidence interval: -0.1, 4.2) percentage points and a controlled direct effect of smoking cessation on 20-year dementia risk had death been prevented of -2.7 (95% confidence interval: -6.1, 0.8) percentage points. Our study highlights how analyses corresponding to different causal questions can have different results, here with point estimates on opposite sides of the null. Having a clear causal question in view of the competing event and transparent and explicit assumptions are essential to interpreting results and potential bias.
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Affiliation(s)
- L Paloma Rojas-Saunero
- Correspondence to Dr. L. Paloma Rojas-Saunero. Department of Epidemiology, Fielding School of Public Health, UCLA, 650 Charles E. Young Drive S., 46-070 CHS, Los Angeles, CA 90095 (e-mail: )
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21
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Tang Y, Zhang D, Robinson S, Zheng J. Inhibition of Pancreatic Cancer Cells by Different Amyloid Proteins Reveals an Inverse Relationship between Neurodegenerative Diseases and Cancer. Adv Biol (Weinh) 2023; 7:e2300070. [PMID: 37080947 DOI: 10.1002/adbi.202300070] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/22/2023] [Indexed: 04/22/2023]
Abstract
Neurodegenerative diseases and cancers are considered to be two families of diseases caused by completely opposite cell-death mechanisms: the former caused by premature cell death, with the latter due to the increased resistance to cell death. Growing epidemiologic evidence appear to suggest an inverse correlation between neurodegenerative diseases and cancers. However, pathological links, particularly from a protein-cell interaction perspective, between these two families of diseases remains to be proven. Here, a fundamental study investigates the effects of three amyloid proteins of Aβ (associated with AD), hIAPP (associated with T2D), and hCT (associated with MTC) on pancreatic cancer (PANC-1) cells. Collective results demonstrate a general inhibitory activity of all of three amyloid proteins on cancer cell proliferation, but inhibition efficiencies are strongly dependent on amyloid sequence (Aβ, hIAPP, hCT), concentration (IC25, IC50, IC75), and aggregation states (monomers, oligomers). Amyloid proteins exhibit two pathways against cancer cells: amyloid monomer-induced ROS production to inhibit cell growth and amyloid oligomer-induced membrane disruption to kill cells. Collectively, the results demonstrate a general inhibition function of amyloid proteins to induce cancer cell death by preventing cell proliferation, suppressing cell migration, promoting reactive oxygen species production, and disrupting cell membranes.
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Affiliation(s)
- Yijing Tang
- Department of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, OH, 44325, USA
| | - Dong Zhang
- Department of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, OH, 44325, USA
| | - Sarah Robinson
- Department of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, OH, 44325, USA
| | - Jie Zheng
- Department of Chemical, Biomolecular, and Corrosion Engineering, The University of Akron, Akron, OH, 44325, USA
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22
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Khandia R, Pandey MK, Zaki MEA, Al-Hussain SA, Baklanov I, Gurjar P. Application of codon usage and context analysis in genes up- or down-regulated in neurodegeneration and cancer to combat comorbidities. Front Mol Neurosci 2023; 16:1200523. [PMID: 37383425 PMCID: PMC10293642 DOI: 10.3389/fnmol.2023.1200523] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
Introduction Neurodegeneration and cancer present in comorbidities with inverse effects due to the expression of genes and pathways acting in opposition. Identifying and studying the genes simultaneously up or downregulated during morbidities helps curb both ailments together. Methods This study examines four genes. Three of these (Amyloid Beta Precursor Protein (APP), Cyclin D1 (CCND1), and Cyclin E2 (CCNE2) are upregulated, and one protein phosphatase 2 phosphatase activator (PTPA) is simultaneously downregulated in both disorders. We investigated molecular patterns, codon usage, codon usage bias, nucleotide bias in the third codon position, preferred codons, preferred codon pairs, rare codons, and codon context. Results Parity analysis revealed that T is preferred over A, and G is preferred over C in the third codon position, suggesting composition plays no role in nucleotide bias in both the upregulated and downregulated gene sets and that mutational forces are stronger in upregulated gene sets than in downregulated ones. Transcript length influenced the overall %A composition and codon bias, and the codon AGG exerted the strongest influence on codon usage in both the upregulated and downregulated gene sets. Codons ending in G/C were preferred for 16 amino acids, and glutamic acid-, aspartic acid-, leucine-, valine-, and phenylalanine-initiated codon pairs were preferred in all genes. Codons CTA (Leu), GTA (Val), CAA (Gln), and CGT (Arg) were underrepresented in all examined genes. Discussion Using advanced gene editing tools such as CRISPR/Cas or any other gene augmentation technique, these recoded genes may be introduced into the human body to optimize gene expression levels to augment neurodegeneration and cancer therapeutic regimens simultaneously.
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Affiliation(s)
- Rekha Khandia
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, Madhya Pradesh, India
| | - Megha Katare Pandey
- Translational Medicine Center, All India Institute of Medical Sciences, Bhopal, India
| | - Magdi E. A. Zaki
- Department of Chemistry, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Sami A. Al-Hussain
- Department of Chemistry, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
| | - Igor Baklanov
- Department of Philosophy, North Caucasus Federal University, Stavropol, Russia
| | - Pankaj Gurjar
- Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW, Australia
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23
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Bisht J, Rawat P, Sehar U, Reddy PH. Caregivers with Cancer Patients: Focus on Hispanics. Cancers (Basel) 2023; 15:626. [PMID: 36765585 PMCID: PMC9913516 DOI: 10.3390/cancers15030626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/12/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023] Open
Abstract
Cancer is a public health concern and causes more than 8 million deaths annually. Cancer triggers include population growth, aging, and variations in the prevalence and distribution of the critical risk factors for cancer. Multiple hallmarks are involved in cancer, including cell proliferation, evading growth suppressors, activating invasion and metastasis, resisting cell death, enabling replicative immortality, reprogramming energy metabolism, and evading immune destruction. Both cancer and dementia are age-related and potentially lethal, impacting survival. With increasing aging populations, cancer and dementia cause a burden on patients, family members, the health care system, and informal/formal caregivers. In the current article, we highlight cancer prevalence with a focus on different ethnic groups, ages, and genders. Our article covers risk factors and genetic causes associated with cancer and types of cancers and comorbidities. We extensively cover the impact of cancer in Hispanics in comparison to that in other ethnic groups. We also discuss the status of caregivers with cancer patients and urgent needs from the state and federal support for caregivers.
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Affiliation(s)
- Jasbir Bisht
- Department of Pediatrics, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Priyanka Rawat
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - P. Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Department of Public Health, School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
- Nutritional Sciences Department, College of Human Sciences, Texas Tech University, Lubbock, TX 79409, USA
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24
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Sharma A, Wüllner U, Schmidt-Wolf IGH, Maciaczyk J. Marginalizing the genomic architecture to identify crosstalk across cancer and neurodegeneration. Front Mol Neurosci 2023; 16:1155177. [PMID: 36923654 PMCID: PMC10008880 DOI: 10.3389/fnmol.2023.1155177] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 02/10/2023] [Indexed: 03/01/2023] Open
Affiliation(s)
- Amit Sharma
- Department of Neurosurgery, University Hospital of Bonn, Bonn, Germany
| | - Ullrich Wüllner
- Department of Neurology, University Hospital of Bonn, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Ingo G H Schmidt-Wolf
- Department of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital of Bonn, Bonn, Germany
| | - Jarek Maciaczyk
- Department of Neurosurgery, University Hospital of Bonn, Bonn, Germany.,Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
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25
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Xia W, Gao Z, Jiang X, Jiang L, Qin Y, Zhang D, Tian P, Wang W, Zhang Q, Zhang R, Zhang N, Xu S. Alzheimer's risk factor FERMT2 promotes the progression of colorectal carcinoma via Wnt/β-catenin signaling pathway and contributes to the negative correlation between Alzheimer and cancer. PLoS One 2022; 17:e0278774. [PMID: 36480537 PMCID: PMC9731493 DOI: 10.1371/journal.pone.0278774] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022] Open
Abstract
Increasing evidence from epidemiological studies indicate that Alzheimer's disease (AD) has a negative relationship with the incidence of cancers. Whether the Alzheimer's genetic risk factor, named as fermitin family homolog-2 (FERMT2), plays a pivotal part in the progressive process of colorectal carcinoma (CRC) yet remains unclear. This study revealed that FERMT2 was upregulated in CRC tissues which predicted an unfavorable outcome of CRC using the PrognoScan web tool. FERMT2 was co-expressed with a variety of genes have been linked with CRC occurrence and implicated in the infiltration of immune cell in CRC tissues. Overexpressing FERMT2 promoted CRC progression with upregulation of Wnt/β-catenin signaling. Knockdown of FERMT2 suppressed the cell multiplication, colony formation rate, migration and invasion, along with the epithelial to mesenchymal transition (EMT) with downregulation Wnt/β-catenin proteins in cells of CRC, while overexpressing β-catenin reversed the inhibitory effects of silencing FERMT2 on the migration or invasion of CRC cells. Furthermore, Aβ1-42 treated HT22 cells induced downregulation of FERMT2 and inhibited the migration, invasion and EMT in co-cultured CT26 cells through Wnt/β-catenin signaling. Our results revealed that the downregulated FERMT2 gene during AD is prominently activated in CRC, which promotes its progression via Wnt/β-catenin pathway.
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Affiliation(s)
- Wenzhen Xia
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Zhaoyu Gao
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China,Hebei International Joint Research Center for Brain Science, Shijiazhuang, Hebei, China,Hebei Key Laboratory of Brain Science and Psychiatric-Psychologic Disease, Shijiazhuang, Hebei, China
| | - Xia Jiang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China,Key Laboratory for Colorectal Cancer Precision Diagnosis and Treatment of Hebei Province, Shijiazhuang, Hebei, China
| | - Lei Jiang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China,Hebei International Joint Research Center for Brain Science, Shijiazhuang, Hebei, China,Hebei Key Laboratory of Brain Science and Psychiatric-Psychologic Disease, Shijiazhuang, Hebei, China
| | - Yushi Qin
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Di Zhang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Pei Tian
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Wanchang Wang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Qi Zhang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Rui Zhang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China,Hebei International Joint Research Center for Brain Science, Shijiazhuang, Hebei, China,Hebei Key Laboratory of Brain Science and Psychiatric-Psychologic Disease, Shijiazhuang, Hebei, China
| | - Nan Zhang
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China,Hebei International Joint Research Center for Brain Science, Shijiazhuang, Hebei, China,Hebei Key Laboratory of Brain Science and Psychiatric-Psychologic Disease, Shijiazhuang, Hebei, China
| | - Shunjiang Xu
- Central Laboratory, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China,Hebei International Joint Research Center for Brain Science, Shijiazhuang, Hebei, China,Hebei Key Laboratory of Brain Science and Psychiatric-Psychologic Disease, Shijiazhuang, Hebei, China,* E-mail:
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26
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Chen H, Zhou Y, Huang L, Xu X, Yuan C. Multimorbidity burden and developmental trajectory in relation to later‐life dementia: A prospective study. Alzheimers Dement 2022; 19:2024-2033. [PMID: 36427050 DOI: 10.1002/alz.12840] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 09/09/2022] [Accepted: 09/28/2022] [Indexed: 11/27/2022]
Abstract
INTRODUCTION This study assessed the associations of multimorbidity burden and its developmental trajectory with later-life dementia. METHODS Among 5923 Health and Retirement Study participants, major chronic conditions including hypertension, diabetes mellitus, cancer, lung diseases, heart disease, stroke, psychological disorders, and arthritis were self- or proxy-reported in 1994-2008. Dementia diagnosis was self- or proxy-reported in 2008-2018. We used Cox regression to assess the associations of multimorbidity with incident dementia. RESULTS During follow-up (median = 8 years), 701 participants developed dementia. Each additional chronic condition in 2008 was related to 15% (confidence interval: 9% to 22%) higher hazard of dementia. Multimorbidity trajectories in 1994-2008 were classified as "rapid growth", "steady growth", "slow growth", and "no new condition" by the group-based trajectory modelling methods. Compared to "no new condition", the "rapid growth" trajectory was related to 32% (3% to 69%) higher dementia risk. CONCLUSIONS Both multimorbidity burden and its developmental trajectory were prospectively associated with risk of dementia.
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Affiliation(s)
- Hui Chen
- School of Public Health and the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China
| | - Yaguan Zhou
- School of Public Health and the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China
| | - Liyan Huang
- School of Public Health and the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China
| | - Xiaolin Xu
- School of Public Health and the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China
- School of Public Health Faculty of Medicine The University of Queensland Brisbane Australia
| | - Changzheng Yuan
- School of Public Health and the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China
- Department of Nutrition Harvard T.H. Chan School of Public Health Boston Massachusetts USA
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Lachner C, Day GS, Camsari GB, Kouri N, Ertekin-Taner N, Boeve BF, Labuzan SA, Lucas JA, Thompson EA, Siddiqui H, Crook JE, Cabrera-Rodriguez JN, Josephs KA, Petersen RC, Dickson DW, Reichard RR, Mielke MM, Knopman DS, Graff-Radford NR, Murray ME. Cancer and Vascular Comorbidity Effects on Dementia Risk and Neuropathology in the Oldest-Old. J Alzheimers Dis 2022; 90:405-417. [PMID: 36213996 PMCID: PMC9661335 DOI: 10.3233/jad-220440] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
BACKGROUND Dementia, vascular disease, and cancer increase with age, enabling complex comorbid interactions. Understanding vascular and cancer contributions to dementia risk and neuropathology in oldest-old may improve risk modification and outcomes. OBJECTIVE Investigate the contributions of vascular factors and cancer to dementia and neuropathology. METHODS Longitudinal clinicopathologic study of prospectively followed Mayo Clinic participants dying≥95 years-old who underwent autopsy. Participants were stratified by dementia status and compared according to demographics, vascular risk factors, cancer, and neuropathology. RESULTS Participants (n = 161; 83% female; 99% non-Hispanic whites)≥95 years (95-106 years-old) with/without dementia did not differ based on demographics. APOE ɛ2 frequency was higher in no dementia (20/72 [28%]) versus dementia (11/88 [12%]; p = 0.03), but APOE ɛ4 frequency did not differ. Coronary artery disease was more frequent in no dementia (31/72 [43%]) versus dementia (23/89 [26%]; p = 0.03) associated with 56% lower dementia odds (odds ratio [OR] = 0.44 [confidence interval (CI) = 0.19-0.98]; p = 0.04) and fewer neuritic/diffuse plaques. Diabetes had an 8-fold increase in dementia odds (OR = 8.42 [CI = 1.39-163]; p = 0.02). Diabetes associated with higher cerebrovascular disease (Dickson score; p = 0.05). Cancer associated with 63% lower dementia odds (OR = 0.37 [CI = 0.17-0.78]; p < 0.01) and lower Braak stage (p = 0.01). CONCLUSION Cancer exposure in the oldest-old was associated with lower odds of dementia and tangle pathology, whereas history of coronary artery disease was associated with lower odds of dementia and amyloid-β plaque pathology. History of diabetes mellitus was associated with increased odds of dementia and cerebrovascular disease pathology. Cancer-related mechanisms and vascular risk factor reduction strategies may alter dementia risk and neuropathology in oldest-old.
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Affiliation(s)
- Christian Lachner
- Departments of Neurology, Mayo Clinic, Jacksonville, FL, USA,
Departments of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | - Gregory S. Day
- Departments of Neurology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Naomi Kouri
- Departments of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Nilüfer Ertekin-Taner
- Departments of Neurology, Mayo Clinic, Jacksonville, FL, USA,
Departments of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | | | - John A. Lucas
- Departments of Psychiatry and Psychology, Mayo Clinic, Jacksonville, FL, USA
| | | | - Habeeba Siddiqui
- Departments of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Julia E. Crook
- Departments of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | | | | | | | | | - R. Ross Reichard
- Departments of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Michelle M. Mielke
- Departments of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Melissa E. Murray
- Departments of Neuroscience, Mayo Clinic, Jacksonville, FL, USA,Correspondence to: Melissa E. Murray, PhD, Associate Professor, Translational Neuropathology Laboratory, Mayo Clinic Florida, 4500 San Pablo Road, Jacksonville, FL 32224, USA. Tel.: +1 904 953 1083; Fax: +1 904 953 7117; E-mail:
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The Nervous System as a Regulator of Cancer Hallmarks: Insights into Therapeutic Implications. Cancers (Basel) 2022; 14:cancers14184372. [PMID: 36139532 PMCID: PMC9496837 DOI: 10.3390/cancers14184372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary The nervous system communicates with the whole organism, regulating several physiological pathways. The modification of nerve activity could deregulate the state of cellular and tissue homeostasis which could drive cancer development. This paper provides the current state of knowledge, in an evidence-oriented manner, that the nervous system is able to participate in the carcinogenesis process by inducing biochemical, physiological, and cellular modifications involved in the hallmarks of cancer. Abstract The involvement of the nervous system in the development of cancer is controversial. Several authors have shown opinions and conflicting evidence that support the early effect of the nervous system on the carcinogenic process. For about a century, research has not been enough, questions remain open, ideas are not discarded, and although more research is still needed to answer all the questions, there is now enough evidence to support the theories and give hope of finding one more possible form of treatment. It is clear that malignant neoplasms have endogenous characteristics that allow them to establish and progress. Some of these characteristics known as hallmarks of cancer, are damage mechanisms in the pathology but necessary during other physiological processes which show some nerve dependence. The nervous system communicates with the whole organism, regulating physiological processes necessary to respond to external stimuli and for the maintenance of homeostasis. The modification of nerve activity could generate an overload and deregulate the state of cellular and tissue homeostasis; this could drive cancer development. In this review, we will address the issue in an evidence-oriented manner that supports that the nervous system is able to participate in the initial and progressive process of carcinogenesis by inducing biochemical, physiological, and cellular modifications involved in the hallmarks of cancer.
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Cai J, Ye L, Hu Y, Ye Z, Gao L, Wang Y, Sun Q, Tong S, Yang J, Chen Q. Exploring the inverse association of glioblastoma multiforme and Alzheimer's disease via bioinformatics analysis. MEDICAL ONCOLOGY (NORTHWOOD, LONDON, ENGLAND) 2022; 39:182. [PMID: 36071287 DOI: 10.1007/s12032-022-01786-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022]
Abstract
Glioblastoma multiforme (GBM) and Alzheimer's disease (AD) are two major diseases in the nervous system with a similar peak age of onset, which has the typical characteristics of high cost, difficult treatment, and poor prognosis. Epidemiological studies and a few molecular biological studies have hinted at an opposite relationship between AD and GBM. However, there are few studies on their reverse relationship, and the regulatory mechanism is still unclear, indicating that further systematic research is urgently needed. Our study firstly employs advanced bioinformatics methods to explore the inverse relationship between them and find various target drugs. We obtained the gene expression dataset from public databases (GEO, TCGA, and GTEx). Then, we identified 122 differentially expressed genes (DEGs) of AD and GBM. Four significant gene modules were identified through protein-protein interaction (PPI) and module construction, and 13 hub genes were found using cytoHubba. We constructed co-expression networks and found various target drugs through these hub genes. Functional enrichment analysis revealed that the AMPK pathway, cell cycle, and cellular senescence play important roles in AD and GBM. Our study may provide a potential direction for studying the opposite molecular mechanism of AD and GBM in the future.
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Affiliation(s)
- Jiayang Cai
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China
| | - Liguo Ye
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China
| | - Yuanyuan Hu
- Department of Ophthalmology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhang Ye
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China
| | - Lun Gao
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China
| | - Yixuan Wang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China
| | - Qian Sun
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China
| | - Shiao Tong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China.,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China
| | - Ji'an Yang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China. .,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China.
| | - Qianxue Chen
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei, China. .,Central Laboratory, Renmin Hospital of Wuhan University, 238 Jiefang Street, Wuhan, 430060, Hubei, China.
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30
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Karanth SD, Katsumata Y, Nelson PT, Fardo DW, McDowell JK, Schmitt FA, Kryscio RJ, Browning SR, Braithwaite D, Arnold SM, Abner EL. Cancer diagnosis is associated with a lower burden of dementia and less Alzheimer's-type neuropathology. Brain 2022; 145:2518-2527. [PMID: 35094057 PMCID: PMC9612796 DOI: 10.1093/brain/awac035] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 12/15/2021] [Accepted: 12/20/2021] [Indexed: 02/01/2023] Open
Abstract
Cancer and Alzheimer's disease are common diseases in ageing populations. Previous research has reported a lower incidence of Alzheimer's disease-type (amnestic) dementia among individuals with a diagnosis of cancer. Both cancer and amnestic dementia are prevalent and potentially lethal clinical syndromes. The current study was conducted to investigate the association of cancer diagnosis with neuropathological and cognitive features of dementia. Data were analysed from longitudinally evaluated participants in a community-based cohort study of brain ageing who came to autopsy at the University of Kentucky Alzheimer's Disease Research Center. These data were linked to the Kentucky Cancer Registry, a population-based state cancer surveillance system, to obtain cancer-related data. We examined the relationship between cancer diagnosis, clinical dementia diagnosis, Mini-Mental State Examination scores and neuropathological features using inverse probability weighting to address bias due to confounding and missing data. To address bias due to inclusion of participants with dementia at cohort baseline, we repeated all analyses restricted to the participants who were cognitively normal at baseline. Included participants (n = 785) had a mean ± standard deviation age of death of 83.8 ± 8.6 years; 60.1% were female. Cancer diagnosis was determined in 190 (24.2%) participants, and a diagnosis of mild cognitive impairment or dementia was determined in 539 (68.7%). APOE ɛ4 allele dosage was lower among participants with cancer diagnosis compared to cancer-free participants overall (P = 0.0072); however, this association was not observed among those who were cognitively normal at baseline. Participants with cancer diagnosis had lower odds of mild cognitive impairment or dementia, and higher cognitive test scores (e.g. Mini-Mental State Examination scores evaluated 6 and ≤2 years ante-mortem, P < 0.001 for both comparisons). Cancer diagnosis also associated with lower odds of higher Braak neurofibrillary tangle stages (III/IV) or (V/VI), moderate/frequent neuritic plaques, moderate/frequent diffuse plaques and moderate/severe cerebral amyloid angiopathy (all P < 0.05). By contrast, TDP-43, α-synuclein and cerebrovascular pathologies were not associated with cancer diagnosis. Cancer diagnosis was associated with a lower burden of Alzheimer's disease pathology and less cognitive impairment. These findings from a community-based cohort with neuropathological confirmation of substrates support the hypothesis that there is an inverse relationship between cancer and Alzheimer's disease.
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Affiliation(s)
- Shama D Karanth
- Aging and Geriatric Research, University of Florida, Gainesville, FL 32610, USA
- Cancer Control and Population Sciences Program, University of Florida, Gainesville, FL 32610, USA
| | - Yuriko Katsumata
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
| | - Peter T Nelson
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Pathology, University of Kentucky, Lexington, KY 40536, USA
| | - David W Fardo
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
| | - Jaclyn K McDowell
- Department of Epidemiology, University of Kentucky, Lexington, KY 40536, USA
- Markey Cancer Control Program, Kentucky Cancer Registry, Lexington, KY 40504, USA
| | - Frederick A Schmitt
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Neurology, University of Kentucky, Lexington, KY 40536, USA
| | - Richard J Kryscio
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
- Department of Statistics, University of Kentucky, Lexington, KY 40536, USA
| | - Steven R Browning
- Department of Epidemiology, University of Kentucky, Lexington, KY 40536, USA
| | - Dejana Braithwaite
- Aging and Geriatric Research, University of Florida, Gainesville, FL 32610, USA
- Cancer Control and Population Sciences Program, University of Florida, Gainesville, FL 32610, USA
- Department of Population Sciences, University of Florida, Gainesville, FL 32610, USA
| | - Susanne M Arnold
- Markey Cancer Control Program, Kentucky Cancer Registry, Lexington, KY 40504, USA
- Department of Internal Medicine, University of Kentucky, Lexington, KY 40536, USA
| | - Erin L Abner
- Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA
- Department of Biostatistics, University of Kentucky, Lexington, KY 40536, USA
- Department of Epidemiology, University of Kentucky, Lexington, KY 40536, USA
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31
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Zhang DD, Ou YN, Fu Y, Wang ZB, Huang LY, Tan L, Yu JT. Risk of Dementia in Cancer Survivors: A Meta-Analysis of Population-Based Cohort Studies. J Alzheimers Dis 2022; 89:367-380. [PMID: 35871349 DOI: 10.3233/jad-220436] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: A negative association between cancer and Alzheimer’s disease (AD) was revealed. Objective: We aimed to further explore the dementia risk among cancer survivors and then among cancer survivors who received cancer treatment in subsequent subgroup analyses. Methods: Databases of PubMed, Embase, and Cochrane Library were systematically searched from inception to April 1, 2021, following PRISMA and MOOSE guidelines. Relative risks (RR) of dementia were pooled by a random-effects model stratifying the data by potential confounding factors to explore the heterogeneity. This study is registered with PROSPERO, number CRD42021250654. Results: A total of 36 studies were included in this meta-analysis, of which 16 studies were about the risk of dementia in cancer survivors, and 20 studies were about the risk of dementia in survivors who accepted cancer treatment. The pooled RR reached 0.89 ([95% CI = 0.82–0.97], I2 = 97.9%) for dementia and 0.89 ([0.83–0.95], I2 = 92.6%) for AD in cancer survivors compared with non-cancer controls. Notably, both dementia risk and AD risk significantly decreased in survivors of colon, leukemia, small intestine, and thyroid cancers (RR ranged from 0.64 to 0.92). Furthermore, prostate cancer patients treated with androgen deprivation therapy exhibited a significantly increased risk of dementia (RR:1.18 [1.09–1.27], I2 = 89.5%) and AD (RR:1.17 [1.08–1.25], I2 = 81.3%), with evidence of between-study heterogeneity. Conclusion: Currently, available evidence suggests that the risk of dementia among cancer survivors is decreased. However, large-scale prospective cohort studies are warranted to further prove the association.
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Affiliation(s)
- Dan-Dan Zhang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Yan Fu
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Zhi-Bo Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Liang-Yu Huang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
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32
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Salemi M, Mogavero MP, Lanza G, Mongioì LM, Calogero AE, Ferri R. Examples of Inverse Comorbidity between Cancer and Neurodegenerative Diseases: A Possible Role for Noncoding RNA. Cells 2022; 11:1930. [PMID: 35741059 PMCID: PMC9221903 DOI: 10.3390/cells11121930] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 05/25/2022] [Accepted: 06/13/2022] [Indexed: 02/06/2023] Open
Abstract
Cancer is one of the most common causes of death; in parallel, the incidence and prevalence of central nervous system diseases are equally high. Among neurodegenerative diseases, Alzheimer's dementia is the most common, while Parkinson's disease (PD) is the second most frequent neurodegenerative disease. There is a significant amount of evidence on the complex biological connection between cancer and neurodegeneration. Noncoding RNAs (ncRNAs) are defined as transcribed nucleotides that perform a variety of regulatory functions. The mechanisms by which ncRNAs exert their functions are numerous and involve every aspect of cellular life. The same ncRNA can act in multiple ways, leading to different outcomes; in fact, a single ncRNA can participate in the pathogenesis of more than one disease-even if these seem very different, as cancer and neurodegenerative disorders are. The ncRNA activates specific pathways leading to one or the other clinical phenotype, sometimes with obvious mechanisms of inverse comorbidity. We aimed to collect from the existing literature examples of inverse comorbidity in which ncRNAs seem to play a key role. We also investigated the example of mir-519a-3p, and one of its target genes Poly (ADP-ribose) polymerase 1, for the inverse comorbidity mechanism between some cancers and PD. We believe it is very important to study the inverse comorbidity relationship between cancer and neurodegenerative diseases because it will help us to better assess these two major areas of human disease.
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Affiliation(s)
- Michele Salemi
- Oasi Research Institute, IRCCS (Istituti di Ricovero e Cura a Carattere Scientifico), Italian Ministry of Health, 94018 Troina, Italy; (G.L.); (R.F.)
| | - Maria Paola Mogavero
- Istituti Clinici Scientifici Maugeri, IRCCS (Istituti di Ricovero e Cura a Carattere Scientifico), Scientific Institute of Pavia, 27100 Pavia, Italy;
| | - Giuseppe Lanza
- Oasi Research Institute, IRCCS (Istituti di Ricovero e Cura a Carattere Scientifico), Italian Ministry of Health, 94018 Troina, Italy; (G.L.); (R.F.)
- Department of Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy
| | - Laura M. Mongioì
- Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; (L.M.M.); (A.E.C.)
| | - Aldo E. Calogero
- Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; (L.M.M.); (A.E.C.)
| | - Raffaele Ferri
- Oasi Research Institute, IRCCS (Istituti di Ricovero e Cura a Carattere Scientifico), Italian Ministry of Health, 94018 Troina, Italy; (G.L.); (R.F.)
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Hayes-Larson E, Shaw C, Ackley SF, Zimmerman SC, Glymour MM, Graff RE, Witte JS, Kobayashi LC, Mayeda ER. The Role of Dementia Diagnostic Delay in the Inverse Cancer-Dementia Association. J Gerontol A Biol Sci Med Sci 2022; 77:1254-1260. [PMID: 34788817 PMCID: PMC9159667 DOI: 10.1093/gerona/glab341] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Cancer is inversely associated with dementia. Using simulations, we examined whether this inverse association may be explained by dementia diagnosis timing, including death before dementia diagnosis and differential diagnosis patterns by cancer history. METHODS We used multistate Markov simulation models to generate cohorts 65 years of age and free of cancer and dementia at baseline; follow-up for incident cancer (all cancers, breast, prostate, and lung cancer), dementia, dementia diagnosis among those with dementia, and death occurred monthly over 30 years. Models specified no true effect of cancer on dementia, and used age-specific transition rates calibrated to U.S. population and cohort data. We varied the average lapse between dementia onset and diagnosis, including nondifferential and differential delays by cancer history, and examined observed incidence rate ratios (IRRs) for the effect of cancer on dementia diagnosis. RESULTS Nondifferential dementia diagnosis delay introduced minimal bias (IRRs = 0.98-1.02) for all cancer, breast, and prostate models and substantial bias (IRR = 0.78) in lung cancer models. For the differential dementia diagnosis delay model of all cancer types combined, simulation scenarios with ≥20% lower dementia diagnosis rate (additional 4.5-month delay) in those with cancer history versus without yielded results consistent with literature estimates. Longer dementia diagnosis delays in those with cancer and higher mortality in those with cancer and dementia yielded more bias. CONCLUSIONS Delays in dementia diagnosis may play a role in the inverse cancer-dementia relationship, especially for more fatal cancers, but moderate differential delays in those with cancer were needed to fully explain the literature-reported IRRs.
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Affiliation(s)
- Eleanor Hayes-Larson
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, USA
| | - Crystal Shaw
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, USA
- Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, California, USA
| | - Sarah F Ackley
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Scott C Zimmerman
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - M Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - John S Witte
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Lindsay C Kobayashi
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Elizabeth Rose Mayeda
- Department of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, California, USA
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Hinwood M, Nyberg J, Leigh L, Gustavsson S, Attia J, Oldmeadow C, Ilicic M, Linden T, Åberg ND, Levi C, Spratt N, Carey LM, Pollack M, Johnson SJ, Kuhn GH, Walker FR, Nilsson M. Do P2Y12 receptor inhibitors prescribed poststroke modify the risk of cognitive disorder or dementia? Protocol for a target trial using multiple national Swedish registries. BMJ Open 2022; 12:e058244. [PMID: 35534077 PMCID: PMC9086614 DOI: 10.1136/bmjopen-2021-058244] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION The target of a class of antiplatelet medicines, P2Y12R inhibitors, exists both on platelets and on brain immune cells (microglia). This protocol aims to describe a causal (based on a counterfactual model) approach for analysing whether P2Y12R inhibitors prescribed for secondary prevention poststroke may increase the risk of cognitive disorder or dementia via their actions on microglia, using real-world evidence. METHODS AND ANALYSIS This will be a cohort study nested within the Swedish National Health and Medical Registers, including all people with incident stroke from 2006 to 2016. We developed directed acyclic graphs to operationalise the causal research question considering potential time-independent and time-dependent confounding, using input from several experts. We developed a study protocol following the components of the target trial approach described by Hernan et al and describe the data structure that would be required in order to make a causal inference. We also describe the statistical approach required to derive the causal estimand associated with this important clinical question; that is, a time-to-event analysis for the development of cognitive disorder or dementia at 1, 2 and 5-year follow-up, based on approaches for competing events to account for the risk of all-cause mortality. Causal effect estimates and the precision in these estimates will be quantified. ETHICS AND DISSEMINATION This study has been approved by the Ethics Committee of the University of Gothenburg and Confidentiality Clearance at Statistics Sweden with Dnr 937-18, and an approved addendum with Dnr 2019-0157. The analysis and interpretation of the results will be heavily reliant on the structure, quality and potential for bias of the databases used. When we implement the protocol, we will consider and document any biases specific to the dataset and conduct appropriate sensitivity analyses. Findings will be disseminated to local stakeholders via conferences, and published in appropriate scientific journals.
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Affiliation(s)
- Madeleine Hinwood
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Jenny Nyberg
- Centre for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Goteborg, Sweden
| | - Lucy Leigh
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Sara Gustavsson
- Department of Forensic Genetics, Forensic Toxicology National Board of Forensic Medicine, Linköping, Sweden
| | - John Attia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Christopher Oldmeadow
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
| | - Marina Ilicic
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, New South Wales, Australia
| | - Thomas Linden
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Centre for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Goteborg, Sweden
- Neurorehabilitation and Recovery, Florey Neuroscience Institutes, Parkville, Victoria, Australia
| | - N David Åberg
- Department of Internal Medicine and Clinical Nutrition, University of Gothenburg, Goteborg, Sweden
- Department of Acute Medicine and Geriatrics, Sahlgrenska University Hospital, Goteborg, Region Västra Götaland, Sweden
| | - Chris Levi
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Neil Spratt
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, New South Wales, Australia
- John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Leeanne M Carey
- Neurorehabilitation and Recovery, Florey Neuroscience Institutes, Parkville, Victoria, Australia
- School of Allied Health, Human Services and Sport, La Trobe University - Melbourne Campus, Melbourne, Victoria, Australia
| | - Michael Pollack
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- John Hunter Hospital, New Lambton Heights, NSW, Australia
| | - Sarah J Johnson
- School of Engineering, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, New South Wales, Australia
- Center for Human and Health Sciences, Centre for Rehab Innovations, Callaghan, New South Wales, Australia
| | - Georg Hans Kuhn
- Centre for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Goteborg, Sweden
- Institute for Public Health, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Frederick R Walker
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- School of Biomedical Sciences and Pharmacy, The University of Newcastle, Callaghan, New South Wales, Australia
- Center for Human and Health Sciences, Centre for Rehab Innovations, Callaghan, New South Wales, Australia
| | - Michael Nilsson
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia
- Centre for Brain Repair and Rehabilitation, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Goteborg, Sweden
- Center for Human and Health Sciences, Centre for Rehab Innovations, Callaghan, New South Wales, Australia
- LKC School of Medicine, Nanyang Technological University, Singapore
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Zhu D, Han F, Sun L, Agnihotri SK, Hu Y, Büeler H. Loss of PTEN-Induced Kinase 1 Regulates Oncogenic Ras-Driven Tumor Growth By Inhibiting Mitochondrial Fission. Front Oncol 2022; 12:893396. [PMID: 35600352 PMCID: PMC9117651 DOI: 10.3389/fonc.2022.893396] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/08/2022] [Indexed: 01/11/2023] Open
Abstract
Mitochondrial metabolism and dynamics (fission and fusion) critically regulate cell survival and proliferation, and abnormalities in these pathways are implicated in both neurodegenerative disorders and cancer. Mitochondrial fission is necessary for the growth of mutant Ras-dependent tumors. Here, we investigated whether loss of PTEN-induced kinase 1 (PINK1) - a mitochondrial kinase linked to recessive familial Parkinsonism - affects the growth of oncogenic Ras-induced tumor growth in vitro and in vivo. We show that RasG12D-transformed embryonic fibroblasts (MEFs) from PINK1-deficient mice display reduced growth in soft agar and in nude mice, as well as increased necrosis and decreased cell cycle progression, compared to RasG12D-transformed MEFs derived from wildtype mice. PINK1 re-expression (overexpression) at least partially rescues these phenotypes. Neither PINK1 deletion nor PINK1 overexpression altered Ras expression levels. Intriguingly, PINK1-deficient Ras-transformed MEFs exhibited elongated mitochondria and altered DRP1 phosphorylation, a key event in regulating mitochondrial fission. Inhibition of DRP1 diminished PINK1-regulated mitochondria morphological changes and tumor growth suggesting that PINK1 deficiency primarily inhibits Ras-driven tumor growth through disturbances in mitochondrial fission and associated cell necrosis and cell cycle defects. Moreover, we substantiate the requirement of PINK1 for optimal growth of Ras-transformed cells by showing that human HCT116 colon carcinoma cells (carrying an endogenous RasG13D mutation) with CRISPR/Cas9-introduced PINK1 gene deletions also show reduced mitochondrial fission and decreased growth. Our results support the importance of mitochondrial function and dynamics in regulating the growth of Ras-dependent tumor cells and provide insight into possible mechanisms underlying the lower incidence of cancers in Parkinson’s disease and other neurodegenerative disorders.
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Affiliation(s)
| | | | | | | | - Ying Hu
- *Correspondence: Hansruedi Büeler, ; Ying Hu,
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Catalá-López F, Driver JA, Page MJ, Hutton B, Ridao M, Berrozpe-Villabona C, Alonso-Arroyo A, Fraga-Medín CA, Bernal-Delgado E, Valencia A, Tabarés-Seisdedos R. Design and methodological characteristics of studies using observational routinely collected health data for investigating the link between cancer and neurodegenerative diseases: protocol for a meta-research study. BMJ Open 2022; 12:e058738. [PMID: 35487732 PMCID: PMC9058779 DOI: 10.1136/bmjopen-2021-058738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION Health services generate large amounts of routine health data (eg, administrative databases, disease registries and electronic health records), which have important secondary uses for research. Increases in the availability and the ability to access and analyse large amounts of data represent a major opportunity for conducting studies on the possible relationships between complex diseases. The objective of this study will be to evaluate the design, methods and reporting of studies conducted using observational routinely collected health data for investigating the link between cancer and neurodegenerative diseases. METHODS AND ANALYSIS This is the protocol for a meta-research study. We registered the study protocol within the Open Science Framework: https://osf.io/h2qjg. We will evaluate observational studies (eg, cohort and case-control) conducted using routinely collected health data for investigating the associations between cancer and neurodegenerative diseases (such as Alzheimer's disease, amyotrophic lateral sclerosis/motor neuron disease, Huntington's disease, multiple sclerosis and Parkinson's disease). The following electronic databases will be searched (from their inception onwards): MEDLINE, Embase and Web of Science Core Collection. Screening and selection of articles will be conducted by at least two researchers. Potential discrepancies will be resolved via discussion. Design, methods and reporting characteristics in each article will be extracted using a standardised data extraction form. Information on general, methodological and transparency items will be reported. We will summarise our findings with tables and graphs (eg, bar charts, forest plots). ETHICS AND DISSEMINATION Due to the nature of the proposed study, no ethical approval will be required. We plan to publish the full study in an open access peer-reviewed journal and disseminate the findings at scientific conferences and via social media. All data will be deposited in a cross-disciplinary public repository.
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Affiliation(s)
- Ferrán Catalá-López
- Department of Health Planning and Economics, National School of Public Health, Institute of Health Carlos III, Madrid, Spain
- Department of Medicine, University of Valencia/INCLIVA Health Research Institute and Centro de Investigación en Red de Salud Mental (CIBERSAM), Valencia, Spain
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Jane A Driver
- Geriatric Research Education and Clinical Center, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, USA
- Division of Aging, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Matthew J Page
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Brian Hutton
- Knowledge Synthesis Group, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Manuel Ridao
- Instituto Aragonés de Ciencias de la Salud, Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Zaragoza, Spain
| | | | - Adolfo Alonso-Arroyo
- Department of History of Science and Documentation, University of Valencia, Valencia, Spain
- Unidad de Información e Investigación Social y Sanitaria, University of Valencia, Spanish National Research Council, Valencia, Spain
| | | | - Enrique Bernal-Delgado
- Instituto Aragonés de Ciencias de la Salud, Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Zaragoza, Spain
| | - Alfonso Valencia
- Life Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain
| | - Rafael Tabarés-Seisdedos
- Department of Medicine, University of Valencia/INCLIVA Health Research Institute and Centro de Investigación en Red de Salud Mental (CIBERSAM), Valencia, Spain
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Cimini S, Giaccone G, Tagliavini F, Costantino M, Perego P, Rossi G. P301L tau mutation leads to alterations of cell cycle, DNA damage response and apoptosis: evidence for a role of tau in cancer. Biochem Pharmacol 2022; 200:115043. [DOI: 10.1016/j.bcp.2022.115043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 04/11/2022] [Indexed: 01/14/2023]
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38
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Salemi M, Lanza G, Mogavero MP, Cosentino FII, Borgione E, Iorio R, Ventola GM, Marchese G, Salluzzo MG, Ravo M, Ferri R. A Transcriptome Analysis of mRNAs and Long Non-Coding RNAs in Patients with Parkinson's Disease. Int J Mol Sci 2022; 23:1535. [PMID: 35163455 PMCID: PMC8836138 DOI: 10.3390/ijms23031535] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/21/2022] [Accepted: 01/26/2022] [Indexed: 02/07/2023] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disorder. The number of cases of PD is expected to double by 2030, representing a heavy burden on the healthcare system. Clinical symptoms include the progressive loss of dopaminergic neurons in the substantia nigra of the midbrain, which leads to striatal dopamine deficiency and, subsequently, causes motor dysfunction. Certainly, the study of the transcriptome of the various RNAs plays a crucial role in the study of this neurodegenerative disease. In fact, the aim of this study was to evaluate the transcriptome in a cohort of subjects with PD compared with a control cohort. In particular we focused on mRNAs and long non-coding RNAs (lncRNA), using the Illumina NextSeq 550 DX System. Differential expression analysis revealed 716 transcripts with padj ≤ 0.05; among these, 630 were mRNA (coding protein), lncRNA, and MT_tRNA. Ingenuity pathway analysis (IPA, Qiagen) was used to perform the functional and pathway analysis. The highest statistically significant pathways were: IL-15 signaling, B cell receptor signaling, systemic lupus erythematosus in B cell signaling pathway, communication between innate and adaptive immune cells, and melatonin degradation II. Our findings further reinforce the important roles of mitochondria and lncRNA in PD and, in parallel, further support the concept of inverse comorbidity between PD and some cancers.
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Affiliation(s)
- Michele Salemi
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (G.L.); (F.I.I.C.); (E.B.); (M.G.S.); (R.F.)
| | - Giuseppe Lanza
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (G.L.); (F.I.I.C.); (E.B.); (M.G.S.); (R.F.)
- Department of Surgery and Medical-Surgical Specialties, University of Catania, 95123 Catania, Italy
| | | | - Filomena I. I. Cosentino
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (G.L.); (F.I.I.C.); (E.B.); (M.G.S.); (R.F.)
| | - Eugenia Borgione
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (G.L.); (F.I.I.C.); (E.B.); (M.G.S.); (R.F.)
| | - Roberta Iorio
- Genomix4Life Srl, 84081 Baronissi, Italy; (R.I.); (G.M.V.); (G.M.); (M.R.)
- Genome Research Center for Health—CRGS, 84081 Baronissi, Italy
| | - Giovanna Maria Ventola
- Genomix4Life Srl, 84081 Baronissi, Italy; (R.I.); (G.M.V.); (G.M.); (M.R.)
- Genome Research Center for Health—CRGS, 84081 Baronissi, Italy
| | - Giovanna Marchese
- Genomix4Life Srl, 84081 Baronissi, Italy; (R.I.); (G.M.V.); (G.M.); (M.R.)
- Genome Research Center for Health—CRGS, 84081 Baronissi, Italy
| | - Maria Grazia Salluzzo
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (G.L.); (F.I.I.C.); (E.B.); (M.G.S.); (R.F.)
| | - Maria Ravo
- Genomix4Life Srl, 84081 Baronissi, Italy; (R.I.); (G.M.V.); (G.M.); (M.R.)
- Genome Research Center for Health—CRGS, 84081 Baronissi, Italy
| | - Raffaele Ferri
- Oasi Research Institute-IRCCS, 94018 Troina, Italy; (G.L.); (F.I.I.C.); (E.B.); (M.G.S.); (R.F.)
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A Transcriptome Analysis of mRNAs and Long Non-Coding RNAs in Patients with Parkinson's Disease. Int J Mol Sci 2022. [PMID: 35163455 DOI: 10.3390/ijms23031535.] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disorder. The number of cases of PD is expected to double by 2030, representing a heavy burden on the healthcare system. Clinical symptoms include the progressive loss of dopaminergic neurons in the substantia nigra of the midbrain, which leads to striatal dopamine deficiency and, subsequently, causes motor dysfunction. Certainly, the study of the transcriptome of the various RNAs plays a crucial role in the study of this neurodegenerative disease. In fact, the aim of this study was to evaluate the transcriptome in a cohort of subjects with PD compared with a control cohort. In particular we focused on mRNAs and long non-coding RNAs (lncRNA), using the Illumina NextSeq 550 DX System. Differential expression analysis revealed 716 transcripts with padj ≤ 0.05; among these, 630 were mRNA (coding protein), lncRNA, and MT_tRNA. Ingenuity pathway analysis (IPA, Qiagen) was used to perform the functional and pathway analysis. The highest statistically significant pathways were: IL-15 signaling, B cell receptor signaling, systemic lupus erythematosus in B cell signaling pathway, communication between innate and adaptive immune cells, and melatonin degradation II. Our findings further reinforce the important roles of mitochondria and lncRNA in PD and, in parallel, further support the concept of inverse comorbidity between PD and some cancers.
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40
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Du XL, Song L, Schulz PE, Xu H, Chan W. Associations Between Vascular Diseases and Alzheimer's Disease or Related Dementias in a Large Cohort of Men and Women with Colorectal Cancer. J Alzheimers Dis 2022; 90:211-231. [PMID: 36093703 PMCID: PMC9661325 DOI: 10.3233/jad-220548] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Long term risk of Alzheimer's disease (AD) and related dementias (ADRD) associated with vascular diseases in people with colorectal cancer is unknown. OBJECTIVE To determine the risk of ADRD in association with cardiovascular diseases (CVD), stroke, hypertension, and diabetes in a cohort of patients with colorectal cancer. METHODS This retrospective cohort study consisted of 210,809 patients diagnosed with colorectal cancer at age≥65 years in 1991-2015 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database with follow-up from 1991-2016, who were free of any ADRD at the baseline (<12 months prior to or < 30 days after the date of cancer diagnosis). RESULTS The crude 26-year cumulative incidence of total ADRD in men and women with colorectal cancer was higher in those with versus without CVD (31.92% versus 28.12%), with versus without stroke (39.82% versus 26.39%), with versus without hypertension (31.88% versus 24.88%), and with versus without diabetes (32.01% versus 27.66%). After adjusting for socio-demographic and tumor factors, the risk of developing ADRD was significantly higher in patients with CVD (adjusted hazard ratio: 1.17, 95% confidence intervals: 1.14-1.20), stroke (1.65, 1.62-1.68), hypertension (1.07, 1.05-1.09), and diabetes (1.26, 1.24-1.29) versus persons without. For those with 1, 2, 3 and 4 vascular diseases present versus absent, the risk of AD increased from 1.12 (1.07-1.16) to 1.31 (1.25-1.36), 1.66 (1.57-1.75), and 2.03 (1.82-2.27). CONCLUSION In older patients with colorectal cancer, a significant dose-response relationship was observed between an increasing number of these vascular diseases and the risk of all types of dementia.
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Affiliation(s)
- Xianglin L. Du
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Lulu Song
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul E. Schulz
- Department of Neurology, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hua Xu
- School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wenyaw Chan
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
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41
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Bacalini MG, Palombo F, Garagnani P, Giuliani C, Fiorini C, Caporali L, Stanzani Maserati M, Capellari S, Romagnoli M, De Fanti S, Benussi L, Binetti G, Ghidoni R, Galimberti D, Scarpini E, Arcaro M, Bonanni E, Siciliano G, Maestri M, Guarnieri B, Martucci M, Monti D, Carelli V, Franceschi C, La Morgia C, Santoro A. Association of rs3027178 polymorphism in the circadian clock gene PER1 with susceptibility to Alzheimer's disease and longevity in an Italian population. GeroScience 2021; 44:881-896. [PMID: 34921659 PMCID: PMC9135916 DOI: 10.1007/s11357-021-00477-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 10/15/2021] [Indexed: 12/11/2022] Open
Abstract
Many physiological processes in the human body follow a 24-h circadian rhythm controlled by the circadian clock system. Light, sensed by retina, is the predominant “zeitgeber” able to synchronize the circadian rhythms to the light-dark cycles. Circadian rhythm dysfunction and sleep disorders have been associated with aging and neurodegenerative diseases including mild cognitive impairment (MCI) and Alzheimer’s disease (AD). In the present study, we aimed at investigating the genetic variability of clock genes in AD patients compared to healthy controls from Italy. We also included a group of Italian centenarians, considered as super-controls in association studies given their extreme phenotype of successful aging. We analyzed the exon sequences of eighty-four genes related to circadian rhythms, and the most significant variants identified in this first discovery phase were further assessed in a larger independent cohort of AD patients by matrix assisted laser desorption/ionization-time of flight mass spectrometry. The results identified a significant association between the rs3027178 polymorphism in the PER1 circadian gene with AD, the G allele being protective for AD. Interestingly, rs3027178 showed similar genotypic frequencies among AD patients and centenarians. These results collectively underline the relevance of circadian dysfunction in the predisposition to AD and contribute to the discussion on the role of the relationship between the genetics of age-related diseases and of longevity.
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Affiliation(s)
- Maria Giulia Bacalini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Laboratorio Brain Aging, Bologna, Italy
| | - Flavia Palombo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Applied Biomedical Research Center (CRBA), S. Orsola-Malpighi Polyclinic, Bologna, Italy.,CNR Institute of Molecular Genetics "Luigi Luca Cavalli-Sforza", Unit of Bologna, Bologna, Italy.,Department of Laboratory Medicine, Clinical Chemistry, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Cristina Giuliani
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.,Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Claudio Fiorini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Leonardo Caporali
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | | | - Sabina Capellari
- IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Martina Romagnoli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy
| | - Sara De Fanti
- Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.,Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences, University of Bologna, Bologna, Italy
| | - Luisa Benussi
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Giuliano Binetti
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Roberta Ghidoni
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - Elio Scarpini
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy.,Dino Ferrari Center, University of Milan, Milan, Italy
| | - Marina Arcaro
- Fondazione IRCCS Ca' Granda, Ospedale Policlinico, Milan, Italy
| | - Enrica Bonanni
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Gabriele Siciliano
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Michelangelo Maestri
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Biancamaria Guarnieri
- Center of Sleep Medicine, Villa Serena Hospital and Villaserena Foundation for the Research, Città S. Angelo, Pescara, Italy
| | | | - Morena Martucci
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Daniela Monti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Valerio Carelli
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, Bologna, Italy
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Department of Applied Mathematics, Institute of Information Technology, Mathematics and Mechanics (ITMM), Lobachevsky State University of Nizhny Novgorod-National Research University (UNN), Nizhny Novgorod, Russia
| | - Chiara La Morgia
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Programma di Neurogenetica, Bologna, Italy.,IRCCS Istituto delle Scienze Neurologiche di Bologna, UOC Clinica Neurologica, Bologna, Italy
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy. .,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy.
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Zabłocka A, Kazana W, Sochocka M, Stańczykiewicz B, Janusz M, Leszek J, Orzechowska B. Inverse Correlation Between Alzheimer's Disease and Cancer: Short Overview. Mol Neurobiol 2021; 58:6335-6349. [PMID: 34523079 PMCID: PMC8639554 DOI: 10.1007/s12035-021-02544-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 08/21/2021] [Indexed: 12/20/2022]
Abstract
The negative association between Alzheimer's disease (AD) and cancer suggests that susceptibility to one disease may protect against the other. When biological mechanisms of AD and cancer and relationship between them are understood, the unsolved problem of both diseases which still touches the growing human population could be overcome. Actual information about biological mechanisms and common risk factors such as chronic inflammation, age-related metabolic deregulation, and family history is presented here. Common signaling pathways, e.g., p53, Wnt, role of Pin1, and microRNA, are discussed as well. Much attention is also paid to the potential impact of chronic viral, bacterial, and fungal infections that are responsible for the inflammatory pathway in AD and also play a key role to cancer development. New data about common mechanisms in etiopathology of cancer and neurological diseases suggests new therapeutic strategies. Among them, the use of nilotinib, tyrosine kinase inhibitor, protein kinase C, and bexarotene is the most promising.
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Affiliation(s)
- Agnieszka Zabłocka
- Laboratory of Microbiome Immunobiology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, R. Weigla 12, 53-114, Wroclaw, Poland.
| | - Wioletta Kazana
- Laboratory of Microbiome Immunobiology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, R. Weigla 12, 53-114, Wroclaw, Poland
| | - Marta Sochocka
- Laboratory of Virology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, R. Weigla 12, 53-114, Wroclaw, Poland
| | - Bartłomiej Stańczykiewicz
- Department of Nervous System Diseases, Wroclaw Medical University, K. Bartla 5, 51-618, Wroclaw, Poland
| | - Maria Janusz
- Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, R. Weigla 12, 53-114, Wroclaw, Poland
| | - Jerzy Leszek
- Department of Psychiatry, Wroclaw Medical University, L. Pasteura 10, 50-367, Wroclaw, Poland
| | - Beata Orzechowska
- Laboratory of Virology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, R. Weigla 12, 53-114, Wroclaw, Poland
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Recent innovations and in-depth aspects of post-genome wide association study (Post-GWAS) to understand the genetic basis of complex phenotypes. Heredity (Edinb) 2021; 127:485-497. [PMID: 34689168 PMCID: PMC8626474 DOI: 10.1038/s41437-021-00479-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 10/13/2021] [Accepted: 10/13/2021] [Indexed: 12/13/2022] Open
Abstract
In the past decade, the high throughput and low cost of sequencing/genotyping approaches have led to the accumulation of a large amount of data from genome-wide association studies (GWASs). The first aim of this review is to highlight how post-GWAS analysis can be used make sense of the obtained associations. Novel directions for integrating GWAS results with other resources, such as somatic mutation, metabolite-transcript, and transcriptomic data, are also discussed; these approaches can help us move beyond each individual data point and provide valuable information about complex trait genetics. In addition, cross-phenotype association tests, when the loci detected by GWASs have significant associations with multiple traits, are reviewed to provide biologically informative results for use in real-time applications. This review also discusses the challenges of identifying interactions between genetic mutations (epistasis) and mutations of loci affecting more than one trait (pleiotropy) as underlying causes of cross-phenotype associations; these challenges can be overcome using post-GWAS analysis. Genetic similarities between phenotypes that can be revealed using post-GWAS analysis are also discussed. In summary, different methodologies of post-GWAS analysis are now available, enhancing the value of information obtained from GWAS results, and facilitating application in both humans and nonhuman species. However, precise methods still need to be developed to overcome challenges in the field and uncover the genetic underpinnings of complex traits.
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44
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Panegyres PK, Chen HY. Alzheimer's disease, Huntington's disease and cancer. J Clin Neurosci 2021; 93:103-105. [PMID: 34656231 DOI: 10.1016/j.jocn.2021.09.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Revised: 07/12/2021] [Accepted: 09/06/2021] [Indexed: 11/18/2022]
Abstract
Neurodegenerative disorders and cancer are two of the most common groups of conditions in our world. Some studies have proposed that neurodegenerative disorders may be protective of the development of cancer. We tested this hypothesis using two neurodegenerative disorders with different molecular pathophysiology - Alzheimer's disease (AD) and Huntington's disease (HD) - to see if the inverse relationship between cancer and neurodegeneration was generalizable. Five-year cancer incidence was determined in two large datasets: AD using the C-Path Online Date Repository (CODR) database (n = 6383) and HD using the ENROLL-HD database (n = 2608). Cancer incidence was determined in the populations and compared to normal population data for Australia, United Kingdom and the United States of America. Age-sex standardized rates of cancer were determined and expressed as 95% confidence intervals. We describe an age-sex standardized cancer rate of 1179.6/per 100,000 population to 1253.7/per 100,000 population in normal populations. The rate in AD was 815.2/per 100,000 population (95% CI 813.32-817.5/per 100,000 population) and for HD 1296.6/per 100,000 population (95% CI 1288-1308.2/per 100,000 population). We conclude that patients with AD have a reduced age-sex standardized rate of developing cancer not shared with HD, a finding that hints at different molecular mechanisms.
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Affiliation(s)
- Peter K Panegyres
- Neurodegenerative Disorders Research Pty Ltd, West Perth, WA, Australia; Department of Medicine, The University of Western Australia, Nedlands, WA, Australia.
| | - Huei-Yang Chen
- Neurodegenerative Disorders Research Pty Ltd, West Perth, WA, Australia
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Lin X, Banaszak-Holl J, Xie J, Ward SA, Brodaty H, Storey E, Shah RC, Murray A, Ryan J, Orchard SG, Fitzgerald SM, McNeil JJ. Similar mortality risk in incident cognitive impairment and dementia: Evidence from the ASPirin in Reducing Events in the Elderly (ASPREE) trial. J Am Geriatr Soc 2021; 69:3568-3575. [PMID: 34533211 DOI: 10.1111/jgs.17435] [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: 12/07/2020] [Revised: 07/13/2021] [Accepted: 08/04/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND This study examined the risk of mortality in older adults with newly detected cognitive impairment or dementia. METHODS Data from the Australian cohort of the ASPirin in Reducing Events in the Elderly (ASPREE) trial were examined. The ASPREE clinical trial compared daily low-dose aspirin to a placebo and involved 16,703 individuals aged 70 years and over, who were without major cognitive impairment, physical disability, or cardiovascular disease at recruitment. During the trial, evidence of cognitive impairment, based on cognitive testing and medical record information, triggered dementia adjudication of participants using DSM-IV criteria. Cox proportional hazard models were used to compare mortality rates across the dementia, trigger-only, and no-trigger groups. RESULTS Over a median 4.7-year follow-up period, 806 participants triggered dementia adjudication, with 485 (60.2%) judged to have dementia. Following recruitment, mortality risks were 32.9, 33.6, and 10.8 events per 1000 person-years in the dementia, trigger-no-dementia, and no-trigger groups, respectively. In the fully adjusted model, mortality risks remained higher in the dementia and trigger-no-dementia groups, with hazard ratios of 1.7 (95% CI: 1.3-2.1) and 1.9 (95% CI: 1.5-2.6), respectively. There was no discernible difference between the dementia and trigger-no-dementia groups in mortality rates following recruitment, or following a dementia trigger. These two groups were more likely to die from sepsis, respiratory disease, and dementia, but less likely to die from cancer than the no-trigger group, χ2 = 161.5, p < 0.001. CONCLUSION ASPREE participants who triggered for a dementia evaluation experienced a substantially higher mortality rate than those who remained cognitively intact. The increase was indistinguishable among persons who met DSM-IV criteria for dementia vs. those who triggered for a dementia evaluation but failed to meet DSM-IV criteria. Future work should investigate whether earlier detection of cognitive decline can be used to identify and prevent early mortality.
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Affiliation(s)
- Xiaoping Lin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jane Banaszak-Holl
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Jing Xie
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Stephanie A Ward
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.,Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia.,Department of Geriatric Medicine, The Prince of Wales Hospital, Sydney, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, Australia.,Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, Australia
| | - Elsdon Storey
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Raj C Shah
- Family Medicine and Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Anne Murray
- Berman Center for Outcomes and Clinical Research, Hennepin Health Research Institute, Minneapolis, Minnesota, USA.,Division of Geriatrics, Department of Medicine, Hennepin Healthcare, Minneapolis, Minnesota, USA
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Suzanne G Orchard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Sharyn M Fitzgerald
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - John J McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Zhang X, Guarin D, Mohammadzadehhonarvar N, Chen X, Gao X. Parkinson's disease and cancer: a systematic review and meta-analysis of over 17 million participants. BMJ Open 2021; 11:e046329. [PMID: 34215604 PMCID: PMC8256737 DOI: 10.1136/bmjopen-2020-046329] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVE To systematically review and qualitatively evaluate epidemiological evidence on associations between Parkinson's disease (PD) and cancer via meta-analysis. DATA SOURCES MEDLINE via PubMed, Web of Science and EMBASE, until March 2021. STUDY SELECTION Included were publications that (1) were original epidemiological studies on PD and cancer; (2) reported risk estimates; (3) were in English. Exclusion criteria included: (1) review/comments; (2) biological studies; (3) case report/autopsy studies; (4) irrelevant exposure/outcome; (5) treated cases; (6) no measure of risk estimates; (7) no confidence intervals/exact p values and (8) duplicates. DATA EXTRACTION AND SYNTHESIS PRISMA and MOOSE guidelines were followed in data extraction. Two-step screening was performed by two authors blinded to each other. A random-effects model was used to calculate pooled relative risk (RR). MAIN OUTCOMES AND MEASURES We included publications that assessed the risk of PD in individuals with vs without cancer and the risk of cancer in individuals with vs without PD. RESULTS A total of 63 studies and 17 994 584 participants were included. Meta-analysis generated a pooled RR of 0.82 (n=33; 95% CI 0.76 to 0.88; p<0.001) for association between PD and total cancer, 0.76 (n=21; 95% CI 0.67 to 0.85; p<0.001) for PD and smoking-related cancer and 0.92 (n=19; 95% CI 0.84 to 0.99; p=0.03) for non-smoking-related cancer. PD was associated with an increased risk of melanoma (n=29; pooled RR=1.75; 95% CI 1.43 to 2.14; p<0.001) but not for other skin cancers (n=17; pooled RR=0.90; 95% CI 0.60 to 1.34; p=0.60). CONCLUSIONS PD and total cancer were inversely associated. This inverse association persisted for both smoking-related and non-smoking-related cancers. PD was positively associated with melanoma. These results provide evidence for further investigations for possible mechanistic associations between PD and cancer. PROSPERO REGISTRATION NUMBER CRD42020162103.
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Affiliation(s)
- Xinyuan Zhang
- Nutritional Science, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - David Guarin
- Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Xiqun Chen
- Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Xiang Gao
- Nutritional Science, The Pennsylvania State University, University Park, Pennsylvania, USA
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van der Willik KD, Schagen SB, Ikram MA. Association Between the Tumor Marker Carcinoembryonic Antigen and the Risk of Dementia. J Alzheimers Dis 2021; 76:845-851. [PMID: 32568210 DOI: 10.3233/jad-200440] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
There is an ongoing debate about how cancer and dementia relate to each other, and whether their relation is biologically determined or caused by surveillance and survival bias. We aimed to circumvent these biases by determining the relation between the tumor marker carcinoembryonic antigen (CEA) and the risk of dementia in 6,692 participants from the population-based Rotterdam Study. We found that higher levels of CEA were associated with a higher risk of dementia (HR per standard deviation increase in CEA = 1.11, 95% CI 1.04; 1.18). This finding may indicate that cancer and dementia are positively associated, but the mechanisms underlying the relation between CEA and dementia warrant further investigation.
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Affiliation(s)
- Kimberly D van der Willik
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Sanne B Schagen
- Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands.,Department of Psychology, Brain and Cognition, University of Amsterdam, Amsterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands
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Rush A, Sutherland GT. The future of brain banking in Australia: an integrated brain and body biolibrary. Med J Aust 2021; 214:447-449.e1. [PMID: 33993514 DOI: 10.5694/mja2.51049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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49
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Lacy M, Fong M, Bolton C, Maranzano M, Bishop M, Artz A. Cognitive functioning of older adults prior to hematopoietic stem cell transplantation. Bone Marrow Transplant 2021; 56:2575-2581. [PMID: 34031555 DOI: 10.1038/s41409-021-01331-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 10/26/2020] [Accepted: 04/26/2021] [Indexed: 11/09/2022]
Abstract
Hematopoietic cell transplantation is increasingly used in older adults with hematological malignancies. Younger adult patients who undergo HCT have shown to commonly present with cognitive impairment and depression prior to transplant; however, little research has been done to understand the cognitive and emotional functioning of older adults undergoing HCT. This study aimed to investigate the rate of cognitive impairment in a retrospective sample of older adult HCT candidates prior to transplant using a comprehensive battery. Ninety-three patients over the age of 60 completed a neuropsychology test battery that assessed standard domains of cognitive and emotional functioning. Impairment was defined as z-scores = < -1.5 on at least two tests or a z score = < -2.0 on at least one test. Results indicated that over 68% of patients were impaired with nearly a third of the sample showing impairment in verbal learning and memory and approximately one fifth showing impairments in aspects of executive function, processing speed, and visual learning. Ten percent of the patients endorsed symptoms indicative of a clinical level of depression. Medical comorbidities nor depression predicted cognitive impairment. These findings suggest that older adults candidates for HCT are at risk for cognitive impairment prior to transplant and thus cognition should be a consideration when developing treatment plans.
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Affiliation(s)
- Maureen Lacy
- University of Chicago Medical Center, Chicago, USA.
| | - Mandy Fong
- Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | - Andrew Artz
- City of Hope National Medicine Center, Duarte, CA, USA
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50
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Liu CC, Liu CH, Sun Y, Lee HJ, Tang LY, Chiu MJ. Rural-urban disparities in the prevalence of mild cognitive impairment and dementia in Taiwan: A door-to-door nationwide study. J Epidemiol 2021; 32:502-509. [PMID: 33840652 DOI: 10.2188/jea.je20200602] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Screening or diagnosis for the elderly with dementia in rural regions might be delayed and underestimated due to limited utilization of healthcare resources. This study aimed to evaluate the disparities of prevalence and risk factors of mild cognitive impairment (MCI) and dementia between urban and rural residence. METHODS In this nationwide door-to-door survey, 10,432 participants aged 65 years and more were selected by computerized random sampling from all administrative districts in Taiwan and were assessed by an in-person interview. We calculated the prevalence of MCI and dementia with their risk factors examined by multivariable logistic regression. RESULTS The prevalence of dementia in rural, suburban, and urban areas among the elderly was 8.69% (95% CI, 8.68-8.69), 6.63% (95% CI, 6.62-6.63), and 4.46% (95% CI, 4.46-4.47), respectively. A similar rural-suburban-urban gradient relationship on the dementia prevalence was observed in any age and sex group. The rural/urban ratio was higher in women than in men for both MCI and dementia. Urbanization remained to be an independent factor for both MCI and dementia after adjustment for age, gender, education, lifestyle, and health status. The beneficial effects of exercise on dementia were more evident in rural areas than in urban ones. CONCLUSIONS Significantly higher prevalence of MCI and dementia were found in rural areas than in urban ones, especially for women. The odds of risk factors for MCI and dementia varied between urbanization statuses. Focus on the rural-urban inequality and the modification of associated factors specifically for different urbanization levels are needed.
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Affiliation(s)
- Chih-Ching Liu
- Department of Healthcare Administration, College of Medical and Health Science, Asia University
| | - Chien-Hui Liu
- School of Nursing, National Yang Ming Chiao Tung University
| | - Yu Sun
- Department of Neurology, En Chu Kong Hospital
| | | | | | - Ming-Jang Chiu
- Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University.,Graduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University.,Graduate Institute of Psychology, College of Science, National Taiwan University.,Graduate Institute of Biomedical Electronics and Bioinformatics; National Taiwan University
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