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Wu Z, Chen J, Liu Y, Yang Y, Feng M, Dai H. The Effects of PICALM rs3851179 and Age on Brain Atrophy and Cognition Along the Alzheimer's Disease Continuum. Mol Neurobiol 2024:10.1007/s12035-024-03953-8. [PMID: 38363532 DOI: 10.1007/s12035-024-03953-8] [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: 11/06/2023] [Accepted: 01/12/2024] [Indexed: 02/17/2024]
Abstract
Rs3851179, a variant of PICALM gene, and age are the risk factors of Alzheimer's disease (AD). AD is divided into early-onset AD (EOAD, < 65 years) and late-onset AD (LOAD, ≥ 65 years) by age. The purpose was to investigate the impact of different genotypes of PICALM rs3851179 on brain atrophy and cognitive decline across the AD continuum in different age groups. Four hundred seven cognitive normal (CN) controls, 362 mild cognitive impairment (MCI) patients, and 94 AD patients were enrolled to assess the interaction between AD continuum, age status, and PICALM on gray matter volume (GMV), global cognition, memory function, and executive function using full factorial ANCOVA (3 × 2 × 2). The interaction between AD continuum and PICALM significantly affected the GMV of the left putamen (PUT.L). rs3851179 A-allele carriers did not show a significant decrease in PUT.L GMV from CN to MCI to AD, while GG-allele carriers did. The interaction between AD continuum and age status was significant on GMV of the left angular gyrus (ANG.L) and right superior occipital gyrus (SOG.R). LOAD had higher GMV of ANG.L and SOG.R than EOAD. The interactive effects among AD continuum, age status, and PICALM were not significant on GMV but were significant on global cognition and executive function. The A-allele was found to have a protective effect on global cognition and executive function in EOAD, but not significantly so in LOAD. PICALM rs3851179 A-allele might alleviate the atrophy of PUT.L across the AD continuum than GG-allele. Age status did not affect the interaction between AD continuum and PICALM on brain atrophy. The ANG.L and SOG.R atrophied more severely in EOAD than in LOAD. Rs3851179 A-allele was protective for global cognition and executive function in EOAD.
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Affiliation(s)
- Zhiwei Wu
- Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui Province, 230001, People's Republic of China
| | - Jinhong Chen
- Department of Ultrasound, Hefei Hospital affiliated to Anhui Medical University: The Second People's Hospital of Hefei, Hefei, Anhui Province, 230011, People's Republic of China
- The Fifth Clinical Medical College of Anhui Medical University, Hefei, Anhui Province, 230032, People's Republic of China
| | - Yuanqing Liu
- Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215006, People's Republic of China
| | - Yiwen Yang
- Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215006, People's Republic of China
| | - Mengmeng Feng
- Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215006, People's Republic of China
| | - Hui Dai
- Department of Radiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, 215006, People's Republic of China.
- Institute of Medical Imaging, Soochow University, Suzhou, Jiangsu Province, 215006, People's Republic of China.
- Suzhou Key Laboratory of Intelligent Medicine and Equipment, Suzhou, Jiangsu Province, 215123, People's Republic of China.
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Ando K, Nagaraj S, Küçükali F, de Fisenne MA, Kosa AC, Doeraene E, Lopez Gutierrez L, Brion JP, Leroy K. PICALM and Alzheimer's Disease: An Update and Perspectives. Cells 2022; 11:3994. [PMID: 36552756 PMCID: PMC9776874 DOI: 10.3390/cells11243994] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 11/30/2022] [Accepted: 12/04/2022] [Indexed: 12/14/2022] Open
Abstract
Genome-wide association studies (GWAS) have identified the PICALM (Phosphatidylinositol binding clathrin-assembly protein) gene as the most significant genetic susceptibility locus after APOE and BIN1. PICALM is a clathrin-adaptor protein that plays a critical role in clathrin-mediated endocytosis and autophagy. Since the effects of genetic variants of PICALM as AD-susceptibility loci have been confirmed by independent genetic studies in several distinct cohorts, there has been a number of in vitro and in vivo studies attempting to elucidate the underlying mechanism by which PICALM modulates AD risk. While differential modulation of APP processing and Aβ transcytosis by PICALM has been reported, significant effects of PICALM modulation of tau pathology progression have also been evidenced in Alzheimer's disease models. In this review, we summarize the current knowledge about PICALM, its physiological functions, genetic variants, post-translational modifications and relevance to AD pathogenesis.
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Affiliation(s)
- Kunie Ando
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
| | - Siranjeevi Nagaraj
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
| | - Fahri Küçükali
- Complex Genetics of Alzheimer’s Disease Group, VIB Center for Molecular Neurology, VIB Antwerp, Department of Biomedical Sciences, University of Antwerp, 2000 Antwerp, Belgium
| | - Marie-Ange de Fisenne
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
| | - Andreea-Claudia Kosa
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
| | - Emilie Doeraene
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
| | - Lidia Lopez Gutierrez
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
| | - Jean-Pierre Brion
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
| | - Karelle Leroy
- Laboratory of Histology, Neuropathology and Neuroanatomy, Faculty of Medicine, Université Libre de Bruxelles, ULB Neuroscience Institute, 808 Route de Lennik, 1070 Brussels, Belgium
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Cheng Y, Li Y, Liang X, Wang P, Fa W, Liu C, Wang Y, Liu K, Wang N, Du Y. Genetic Effects of NDUFAF6 rs6982393 and APOE on Alzheimer’s Disease in Chinese Rural Elderly: A Cross-Sectional Population-Based Study. Clin Interv Aging 2022; 17:185-194. [PMID: 35237031 PMCID: PMC8884707 DOI: 10.2147/cia.s345784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/31/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose To investigate the associations of genotypes of NDUFAF6 rs6982393 and APOE and their combined genotypes with the risk of Alzheimer’s disease (AD) and mild cognitive impairment (MCI) in Chinese rural elderly. Methods This cross-sectional population-based study included 5096 older adults (age ≥60 years, 57.1% female). Genotypes of NDUFAF6 rs6982393 and APOE were detected using the multiple-polymerase chain reaction amplification. We diagnosed AD following the criteria of Diagnostic and Statistical Manual of Mental Disorders, the fourth edition and diagnosed MCI following the Petersen’s criteria MCI. Data were analyzed using the logistic regression model. Results The overall prevalence of AD and MCI was 3.57% (95% confidence interval [CI]: 0.040, 0.053) and 22.65% (95% CI: 0.223, 0.247), separately. The TT versus CC/CT genotype of NDUFAF6 rs6982393 was related to a higher risk of AD with the multi-adjusted odds ratio (95% CI) being 1.61 (1.02, 2.54) in the total sample, 3.36 (1.48, 7.60) in those aged 60–69, and 1.24 (0.71, 2.17) in those aged 70 years and above. The interaction between genotype of NDUFAF6 rs6982393 with age groups (60–69 versus ≥70 years) was significant on the risk of AD. The presence of APOE ε4 was not significantly associated with the risk of AD. Carrying both NDUFAF6 TT and APOE ε4 was related to a higher risk of AD with the multi-adjusted odds ratio (95% CI) being 2.69 (1.10, 2.56). In addition, there was no significant association between the above genotypes and MCI. Conclusion In Chinese rural elderly, the TT versus CT/CC genotype of NDUFAF6 rs6982393 was associated with an increased likelihood of AD; such an association only existed among young-old adults. Carrying both NDUFAF6 rs6982393-TT and APOE ε4 was related to a higher risk of AD. This finding highlights the importance of considering age and combined genotype in studying the genetic profiles of AD.
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Affiliation(s)
- Yingzhe Cheng
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Yuanjing Li
- Aging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden
| | - Xiaoyan Liang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
| | - Pin Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Wenxin Fa
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Cuicui Liu
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
| | - Yongxiang Wang
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
| | - Keke Liu
- Shandong Academy of Clinical Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
| | - Nan Wang
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
| | - Yifeng Du
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China
- Department of Neurology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
- Shandong Provincial Clinical Research Center for Neurological Diseases, Jinan, Shandong, People’s Republic of China
- Correspondence: Yifeng Du, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324 Jingwuweiqi Road, Jinan, Shandong, 250021, People’s Republic of China, Tel/Fax +86-531-68776354, Email
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Sapkota S, McFall GP, Masellis M, Dixon RA. A Multimodal Risk Network Predicts Executive Function Trajectories in Non-demented Aging. Front Aging Neurosci 2021; 13:621023. [PMID: 34603005 PMCID: PMC8482841 DOI: 10.3389/fnagi.2021.621023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Accepted: 08/24/2021] [Indexed: 01/08/2023] Open
Abstract
Background: Multiple modalities of Alzheimer's disease (AD) risk factors may operate through interacting networks to predict differential cognitive trajectories in asymptomatic aging. We test such a network in a series of three analytic steps. First, we test independent associations between three risk scores (functional-health, lifestyle-reserve, and a combined multimodal risk score) and cognitive [executive function (EF)] trajectories. Second, we test whether all three associations are moderated by the most penetrant AD genetic risk [Apolipoprotein E (APOE) ε4+ allele]. Third, we test whether a non-APOE AD genetic risk score further moderates these APOE × multimodal risk score associations. Methods: We assembled a longitudinal data set (spanning a 40-year band of aging, 53-95 years) with non-demented older adults (baseline n = 602; Mage = 70.63(8.70) years; 66% female) from the Victoria Longitudinal Study (VLS). The measures included for each modifiable risk score were: (1) functional-health [pulse pressure (PP), grip strength, and body mass index], (2) lifestyle-reserve (physical, social, cognitive-integrative, cognitive-novel activities, and education), and (3) the combination of functional-health and lifestyle-reserve risk scores. Two AD genetic risk markers included (1) APOE and (2) a combined AD-genetic risk score (AD-GRS) comprised of three single nucleotide polymorphisms (SNPs; Clusterin[rs11136000], Complement receptor 1[rs6656401], Phosphatidylinositol binding clathrin assembly protein[rs3851179]). The analytics included confirmatory factor analysis (CFA), longitudinal invariance testing, and latent growth curve modeling. Structural path analyses were deployed to test and compare prediction models for EF performance and change. Results: First, separate analyses showed that higher functional-health risk scores, lifestyle-reserve risk scores, and the combined score, predicted poorer EF performance and steeper decline. Second, APOE and AD-GRS moderated the association between functional-health risk score and the combined risk score, on EF performance and change. Specifically, only older adults in the APOEε4- group showed steeper EF decline with high risk scores on both functional-health and combined risk score. Both associations were further magnified for adults with high AD-GRS. Conclusion: The present multimodal AD risk network approach incorporated both modifiable and genetic risk scores to predict EF trajectories. The results add an additional degree of precision to risk profile calculations for asymptomatic aging populations.
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Affiliation(s)
- Shraddha Sapkota
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - G. Peggy McFall
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - Mario Masellis
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Medicine (Neurology), University of Toronto, Toronto, ON, Canada
| | - Roger A. Dixon
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
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Blujus JK, Korthauer LE, Awe E, Frahmand M, Driscoll I. Single Nucleotide Polymorphisms in Alzheimer's Disease Risk Genes Are Associated with Intrinsic Connectivity in Middle Age. J Alzheimers Dis 2020; 78:309-320. [PMID: 32986668 DOI: 10.3233/jad-200444] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND It is critical to identify individuals at risk for Alzheimer's disease (AD) earlier in the disease time course, such as middle age and preferably well prior to the onset of clinical symptoms, when intervention efforts may be more successful. Genome-wide association and candidate gene studies have identified single nucleotide polymorphisms (SNPs) in APOE, CLU, CR1, PICALM, and SORL1 that confer increased risk of AD. OBJECTIVE In the current study, we investigated the associations between SNPs in these genes and resting-state functional connectivity within the default mode network (DMN), frontoparietal network (FPN), and executive control network (ECN) in healthy, non-demented middle-aged adults (age 40 -60; N = 123; 74 females). METHODS Resting state networks of interest were identified through independent components analysis using a template-matching procedure and individual spatial maps and time courses were extracted using dual regression. RESULTS Within the posterior DMN, functional connectivity was associated with CR1 rs1408077 and CLU rs9331888 polymorphisms (p's < 0.05). FPN connectivity was associated with CR1 rs1408077, CLU rs1136000, SORL1 rs641120, and SORL1 rs689021 (p's < 0.05). Functional connectivity within the ECN was associated with the CLU rs11136000 (p < 0.05). There were no APOE- or PICALM-related differences in any of the networks investigated (p's > 0.05). CONCLUSION This is the first demonstration of the relationship between intrinsic network connectivity and AD risk alleles in CLU, CR1, and SORL1 in healthy, middle-aged adults. These SNPs should be considered in future investigations aimed at identifying potential preclinical biomarkers for AD.
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Affiliation(s)
| | - Laura Elizabeth Korthauer
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.,Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Elizabeth Awe
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.,Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Marijam Frahmand
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Ira Driscoll
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
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Genetic influence on ageing-related changes in resting-state brain functional networks in healthy adults: A systematic review. Neurosci Biobehav Rev 2020; 113:98-110. [PMID: 32169413 DOI: 10.1016/j.neubiorev.2020.03.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Revised: 02/08/2020] [Accepted: 03/09/2020] [Indexed: 11/21/2022]
Abstract
This systematic review examines the genetic and epigenetic factors associated with resting-state functional connectivity (RSFC) in healthy human adult brains across the lifespan, with a focus on genes associated with Alzheimer's disease (AD). There were 58 studies included. The key findings are: (i) genetic factors have a low to moderate contribution; (ii) the apolipoprotein E ε2/3/4 polymorphism was the most studied genetic variant, with the APOE-ε4 allele most consistently associated with deficits of the default mode network, but there were insufficient studies to determine the relationships with other AD candidate risk genes; (iii) a single genome-wide association study identified several variants related to RSFC; (iv) two epigenetic independent studies showed a positive relationship between blood DNA methylation of the SLC6A4 promoter and RSFC measures. Thus, there is emerging evidence that genetic and epigenetic variation influence the brain's functional organisation and connectivity over the adult lifespan. However, more studies are required to elucidate the roles genetic and epigenetic factors play in RSFC measures across the adult lifespan.
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Abstract
Radiogenomics, defined as the integrated analysis of radiologic imaging and genetic data, is a well-established tool shown to augment neuroimaging in the clinical diagnosis, prognostication, and scientific study of late-onset Alzheimer disease (LOAD). Early work using candidate single nucleotide polymorphisms (SNPs) identified genetic variation in APOE, BIN1, CLU, and CR1 as key modifiers of brain structure and function using magnetic resonance imaging (MRI). More recently, polygenic risk scores used in conjunction with MRI and positron emission tomography have shown great promise as a risk-stratification tool for clinical trials and care-management decisions. In addition, recent work using multimodal MRI and positron emission tomography as proxies of LOAD progression has identified novel risk variants that are enhancing our understanding of LOAD pathophysiology and progression. Herein, we highlight key studies and trends in the radiogenomics of LOAD over the past two decades and their implications for clinical practice and scientific research.
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Zhuang L, Liu X, Shi Y, Liu X, Luo B. Genetic Variants of PICALM rs541458 Modulate Brain Spontaneous Activity in Older Adults With Amnestic Mild Cognitive Impairment. Front Neurol 2019; 10:494. [PMID: 31133980 PMCID: PMC6517502 DOI: 10.3389/fneur.2019.00494] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 04/23/2019] [Indexed: 01/18/2023] Open
Abstract
Background: Phosphatidylinositol binding clathrin assembly protein (PICALM) rs541458 C allele has been identified and validated to be associated with a reduction of Alzheimer's disease (AD) risk. Nevertheless, the exact mechanisms through which the variant exert its disease-relevant association remain to be elucidated. This study is to determine whether PICALM rs541458 polymorphism modulates functional magnetic resonance imaging measured brain spontaneous activity in older adults with amnestic mild cognitive impairment (aMCI). Methods: Thirty five aMCI patients and twenty six healthy controls (HC) were enrolled in this study. Each individual was genotyped for rs541458 and scanned with resting-state functional magnetic resonance imaging. Each group was divided into two subgroups (C carriers and TT genotype). Brain activity was measured with amplitude of low-frequency fluctuation (ALFF). Results: The aMCI patients showed decreased ALFF in left inferior frontal gyrus, superior temporal gyrus and insula, while increased ALFF in right cuneus, calcarine, and bilateral posterior cingulate and precuneus. A significant interaction between diagnosis (aMCI vs. HC) and PICALM rs541458 genotype (C carriers vs. TT) on ALFF was observed mainly in the right frontal lobe, with aMCI C carriers and TT genotype in HC showing significantly lower ALFF than HC C carriers. While only negative correlation between ALFF and verbal fluency test was found in HC C carriers (r = −0.543, p = 0.030). Conclusions: This study provided preliminary evidences that PICALM rs541458 variations may modulate the spontaneous brain activity in aMCI patients.
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Affiliation(s)
- Liying Zhuang
- Department of Neurology, Zhejiang Hospital, Hangzhou, China.,Department of Neurology and Brain Medical Centre, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaoyan Liu
- Department of Neurology and Brain Medical Centre, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yongmei Shi
- Department of Neurology, Affiliated Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Xiaoli Liu
- Department of Neurology, Zhejiang Hospital, Hangzhou, China
| | - Benyan Luo
- Department of Neurology and Brain Medical Centre, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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9
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Seripa D, Panza F, Paroni G, D'Onofrio G, Bisceglia P, Gravina C, Urbano M, Lozupone M, Solfrizzi V, Bizzarro A, Boccardi V, Piccininni C, Daniele A, Logroscino G, Mecocci P, Masullo C, Greco A. Role of CLU, PICALM, and TNK1 Genotypes in Aging With and Without Alzheimer's Disease. Mol Neurobiol 2017. [PMID: 28631188 DOI: 10.1007/s12035-017-0547-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Healthy and impaired cognitive aging may be associated to different prevalences of single-nucleotide polymorphisms (SNPs). In a multicenter case-control association study, we studied the SNPs rs11136000 (clusterin, CLU), rs541458 (phosphatidylinositol binding clatrin assembly protein, PICALM), and rs1554948 (transcription factor A, and tyrosine kinase, non-receptor, 1, TNK1) according to the three age groups 50-65 years (group 1), 66-80 years (group 2), and 80+ years (group 3) in 569 older subjects without cognitive impairment (NoCI) and 520 Alzheimer's disease (AD) patients. In NoCI subjects, a regression analysis suggested a relationship between age and TNK1 genotypes, with the TNK1-A/A genotype frequency that increased with higher age, and resulting in a different distribution of the TNK1-A allele. In AD patients, a regression analysis suggested a relationship between age and PICALM genotypes and TNK1 genotypes, with the PICALM-T/C and TNK1-A/A genotype frequencies that decreased with increasing age. A resulting difference in the distribution of PICALM-C allele and TNK1-A allele was also observed. The TNK1-A allele was overrepresented in NoCI subjects than in AD patients in age groups 2 and 3. These results confirmed after adjustment for apolipoprotein E polymorphism, which suggested a different role of PICALM and TNK1 in healthy and impaired cognitive aging. More studies, however, are needed to confirm the observed associations.
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Affiliation(s)
- Davide Seripa
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy.
| | - Francesco Panza
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy. .,Unit of Neurodegenerative Disease, Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of "BariAldo Moro", Bari, Italy. .,Unit of Neurodegenerative Disease, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card. G. Panico", Tricase, Lecce, Italy. .,Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy.
| | - Giulia Paroni
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Grazia D'Onofrio
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Paola Bisceglia
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Carolina Gravina
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Maria Urbano
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Madia Lozupone
- Unit of Neurodegenerative Disease, Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of "BariAldo Moro", Bari, Italy
| | - Vincenzo Solfrizzi
- Geriatric Medicine-Memory Unit and Rare Disease Centre, University of Bari Aldo Moro, Bari, Italy
| | | | - Virginia Boccardi
- Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Chiara Piccininni
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy
| | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy
| | - Giancarlo Logroscino
- Unit of Neurodegenerative Disease, Department of Basic Medicine Sciences, Neuroscience, and Sense Organs, University of "BariAldo Moro", Bari, Italy.,Unit of Neurodegenerative Disease, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card. G. Panico", Tricase, Lecce, Italy
| | - Patrizia Mecocci
- Institute of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy
| | - Carlo Masullo
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy
| | - Antonio Greco
- Complex Structure of Geriatrics, Research Laboratory, Department of Medical Sciences, I.R.C.C.S. Casa Sollievo della Sofferenza, Viale Cappuccini 1, 71013, San Giovanni Rotondo, Foggia, Italy
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