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Sohrabi HR, Bates KA, Weinborn M, Bucks RS, Rainey-Smith SR, Rodrigues MA, Bird SM, Brown BM, Beilby J, Howard M, Criddle A, Wraith M, Taddei K, Martins G, Paton A, Shah T, Dhaliwal SS, Mehta PD, Foster JK, Martins IJ, Lautenschlager NT, Mastaglia F, Laws SM, Martins RN. Bone mineral density, adiposity, and cognitive functions. Front Aging Neurosci 2015; 7:16. [PMID: 25741279 PMCID: PMC4332358 DOI: 10.3389/fnagi.2015.00016] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2014] [Accepted: 02/03/2015] [Indexed: 12/12/2022] Open
Abstract
Cognitive decline and dementia due to Alzheimer's disease (AD) have been associated with genetic, lifestyle, and environmental factors. A number of potentially modifiable risk factors should be taken into account when preventive or ameliorative interventions targeting dementia and its preclinical stages are investigated. Bone mineral density (BMD) and body composition are two such potentially modifiable risk factors, and their association with cognitive decline was investigated in this study. 164 participants, aged 34–87 years old (62.78 ± 9.27), were recruited for this longitudinal study and underwent cognitive and clinical examinations at baseline and after 3 years. Blood samples were collected for apolipoprotein E (APOE) genotyping and dual energy x-ray absorptiometry (DXA) was conducted at the same day as cognitive assessment. Using hierarchical regression analysis, we found that BMD and lean body mass, as measured using DXA were significant predictors of episodic memory. Age, gender, APOE status, and premorbid IQ were controlled for. Specifically, the List A learning from California Verbal Learning Test was significantly associated with BMD and lean mass both at baseline and at follow up assessment. Our findings indicate that there is a significant association between BMD and lean body mass and episodic verbal learning. While the involvement of modifiable lifestyle factors in human cognitive function has been examined in different studies, there is a need for further research to understand the potential underlying mechanisms.
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Chatterjee P, Gupta VB, Fagan AM, Jasielec MS, Xiong C, Sohrabi HR, Dhaliwal S, Taddei K, Bourgeat P, Brown BM, Benzinger T, Bateman RJ, Morris JC, Martins RN. Decreased platelet APP isoform ratios in autosomal dominant Alzheimer's disease: baseline data from a DIAN cohort subset. Curr Alzheimer Res 2015; 12:157-64. [PMID: 25654503 PMCID: PMC4383703 DOI: 10.2174/1567205012666150204125732] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Revised: 09/05/2014] [Accepted: 10/29/2014] [Indexed: 01/17/2023]
Abstract
INTRODUCTION This study examines platelet amyloid precursor protein (APP) isoform ratios of 120KDa to 110KDa (APPr) between mutation carriers (MC) carrying a mutation for autosomal dominant Alzheimer's disease (ADAD) and non-carriers (NC). Two previous studies reported no significant difference in APPr between ADAD MC and NC, which may have been due to the small sample size in both studies. The current study examines APPr in MC versus NC in a larger sample. In addition, it investigated whether APPr correlate with neuroimaging data, neuropsychological data and cerebrospinal fluid biomarkers in a cohort subset derived from the Dominantly Inherited Alzheimer Network (DIAN) study. METHODS APPr were quantified by western blotting. Fifteen MC (symptomatic and asymptomatic) were compared against twelve NC using univariate general linear model. All participants underwent neuroimaging and neuropsychological testing which were correlated with APPr using Pearson's correlation coefficient (r). RESULTS APPr were lower in MC compared to NC (p=0.003) while Mini-Mental State Examination (MMSE) scores were not significantly different (p>0.1). Furthermore, APPr inversely correlated with amyloid imaging in the Caudate Nucleus (r=-0.505; p<0.05) and Precuneus (r=-0.510; p<0.05). CONCLUSION APPr are lower in ADAD MC compared to NC, and inversely correlated with brain amyloid load prior to significant differences in cognitive health. However, the use of APPr as a biomarker needs to be explored further.
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Brown BM, Bourgeat P, Peiffer JJ, Burnham S, Laws SM, Rainey-Smith SR, Bartres-Faz D, Villemagne VL, Taddei K, Rembach A, Bush A, Ellis KA, Macaulay SL, Rowe CC, Ames D, Masters CL, Maruff P, Martins RN. Influence of BDNF Val66Met on the relationship between physical activity and brain volume. Neurology 2014; 83:1345-52. [DOI: 10.1212/wnl.0000000000000867] [Citation(s) in RCA: 51] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Rembach A, Maher S, Mooney F, Nash T, Vidaurre L, Li Q, Fowler C, Pertile K, Trounson B, Rumble R, Rainey‐Smith S, Evered L, Silbert B, Laws SM, Taddei K, Macaulay L, Darby D, Martins R, Collins S, Masters CL, Doecke J. P3‐077: CEREBROSPINAL FLUID BIOMARKERS ARE NOT INFLUENCED BY GRAVITY DRIP OR ASPIRATION EXTRACTION METHODOLOGY. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.05.1165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Laws SM, Porter T, Creegan R, Florence Lim WL, Verdile G, Groth DM, Villemagne V, Wilson AC, Ames D, Bush AI, Ellis KA, Macaulay L, Masters CL, Rainey‐Smith SL, Rembach A, Rowe CC, Taddei K, Martins RN, AIBL Research Group. P3‐023: GENETIC VARIATION WITHIN GENES OF THE SPHINGOLIPID METABOLISM PATHWAY AND THEIR ASSOCIATION WITH ALZHEIMER'S DISEASE RISK AND RELATED PHENOTYPES. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.05.1110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Asih PR, Wahjoepramono EJ, Aniwiyanti V, Taddei K, Fuller S, Sohrabi HR, Dhaliwal S, Verdile G, Carruthers M, Martins RN. P3‐389: PHYSIOLOGICAL EFFECTS AND SAFETY ASSESSMENT OF TESTOSTERONE REPLACEMENT THERAPY IN OLDER MALE SUBJECTIVE MEMORY COMPLAINERS. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.05.1483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Chatterjee P, Florence Lim WL, Gupta VB, Sohrabi HR, Taddei K, Brown B, Masters CL, Morris JC, Martins R. O4‐05‐04: ALTERED PLASMA PHOSPHOLIPID COMPOSITION IN AUTOSOMAL DOMINANT ALZHEIMER'S DISEASE: A DIAN STUDY. Alzheimers Dement 2014. [DOI: 10.1016/j.jalz.2014.04.412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Verdile G, Laws SM, Henley D, Ames D, Bush AI, Ellis KA, Faux NG, Gupta VB, Li QX, Masters CL, Pike KE, Rowe CC, Szoeke C, Taddei K, Villemagne VL, Martins RN. Associations between gonadotropins, testosterone and β amyloid in men at risk of Alzheimer's disease. Mol Psychiatry 2014; 19:69-75. [PMID: 23089633 DOI: 10.1038/mp.2012.147] [Citation(s) in RCA: 98] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2012] [Revised: 08/07/2012] [Accepted: 09/04/2012] [Indexed: 11/09/2022]
Abstract
Testosterone and gonadotropins have been associated with cognitive decline in men and the modulation of β amyloid (Aβ) metabolism. The relatively few studies that have investigated whether changes in one or a combination of these hormones influence Aβ levels have focused primarily on plasma Aβ(1-40) and not on the more pathogenic Aβ(1-42). Currently, no study has investigated whether these hormones are associated with an increase in brain amyloid deposition, ante mortem. Through the highly characterised Australian imaging, biomarkers and lifestyle study, we have determined the impact of these hormones on plasma Aβ levels and brain amyloid burden (Pittsburgh compound B (PiB) retention). Spearman's rank correlation and linear regression analysis was carried out across the cohort and within subclassifications. Luteinizing hormone (LH) was the only variable shown, in the total cohort, to have a significant impact on plasma Aβ(1-40) and Aβ(1-42) levels (beta=0.163, P<0.001; beta=0.446, P<0.001). This held in subjective memory complainers (SMC) (Aβ(1-40); beta=0.208, P=0.017; Aβ(1-42); beta=0.215, P=0.017) but was absent in mild cognitive impairment (MCI) and Alzheimer's disease (AD) groups. In SMC, increased frequency of the APOE-ɛ4 allele (beta=0.536, P<0.001) and increasing serum LH levels (beta=0.421, P=0.004) had a significant impact on PiB retention. Whereas in MCI, PiB retention was associated with increased APOE-ɛ4 allele copy number (beta=0.674, P<0.001) and decreasing calculated free testosterone (beta=-0.303, P=0.043). These findings suggest a potential progressive involvement of LH and testosterone in the early preclinical stages of AD. Furthermore, these hormones should be considered while attempting to predict AD at these earliest stages of the disease.
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Frost SM, Kanagasingam Y, Sohrabi HR, Taddei K, Bateman R, Morris J, Benzinger T, Goate A, Masters CL, Martins RN. Pupil response biomarkers distinguish amyloid precursor protein mutation carriers from non-carriers. Curr Alzheimer Res 2013; 10:790-6. [PMID: 23919771 PMCID: PMC3879087 DOI: 10.2174/15672050113109990154] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2012] [Revised: 03/18/2013] [Accepted: 03/22/2013] [Indexed: 11/22/2022]
Abstract
CONTEXT Alzheimer's disease (AD) is usually only diagnosed many years after pathology begins. Earlier detection would allow emerging interventions to have a greater chance to preserve healthy brain function. A rare form of Alzheimer's disease, caused by autosomal-dominant mutations, affects carriers with 100% certainty and at a younger age specific to their mutation. Studying families with these mutations allows a unique investigation of the temporal sequence of biomarker changes in Alzheimer's disease. OBJECTIVE To determine whether the pupil flash response (PFR), previously reported to be altered in sporadic Alzheimer's disease, is different in pre-symptomatic mutation carriers. DESIGN Researchers blinded to participant mutation status collected pupil response data from cognitively normal participants in the Dominantly Inherited Alzheimer's Network (DIAN) Study during 2010-2011. SETTING The pupil response was examined at the McCusker Alzheimer's Research Foundation in Perth, Western Australia. PARTICIPANTS Participants were from a single family harboring an Amyloid-Beta Precursor Protein genetic mutation (APPGlu693Gln). Six carriers and six non-carriers were available for pupil testing (age 43.0±8.3 years old, 2 males and 10 females, 4 with hypertension). MAIN OUTCOME MEASURE Pupil response parameter comparison between mutation carriers and non-carriers. RESULTS 75% recovery time was longer in mutation carriers (p<0.0003, ROC AUC 1.000, Sensitivity 100%, Specificity 100%) and percentage recovery 3.5 seconds after stimulus was less in mutation carriers (p<0.006, ROC AUC 1.000, Sensitivity 100%, Specificity 100%). CONCLUSIONS PFR changes occur pre-symptomatically in autosomal dominant AD mutation carriers, supporting further investigation of PFR for early detection of AD.
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Lim WLF, Lam SM, Shui G, Mondal A, Ong D, Duan X, Creegan R, Martins IJ, Sharman MJ, Taddei K, Verdile G, Wenk MR, Martins RN. Effects of a high-fat, high-cholesterol diet on brain lipid profiles in apolipoprotein E ɛ3 and ɛ4 knock-in mice. Neurobiol Aging 2013; 34:2217-24. [DOI: 10.1016/j.neurobiolaging.2013.03.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2012] [Revised: 02/27/2013] [Accepted: 03/11/2013] [Indexed: 10/26/2022]
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Brown BM, Peiffer JJ, Taddei K, Lui JK, Laws SM, Gupta VB, Taddei T, Ward VK, Rodrigues MA, Burnham S, Rainey-Smith SR, Villemagne VL, Bush A, Ellis KA, Masters CL, Ames D, Macaulay SL, Szoeke C, Rowe CC, Martins RN, Martins RN. Physical activity and amyloid-β plasma and brain levels: results from the Australian Imaging, Biomarkers and Lifestyle Study of Ageing. Mol Psychiatry 2013; 18:875-81. [PMID: 22889922 DOI: 10.1038/mp.2012.107] [Citation(s) in RCA: 169] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2011] [Revised: 06/15/2012] [Accepted: 06/26/2012] [Indexed: 11/10/2022]
Abstract
Previous studies suggest physical activity improves cognition and lowers Alzheimer's disease (AD) risk. However, key AD pathogenic factors that are thought to be influenced by physical activity, particularly plasma amyloid-β (Aβ) and Aβ brain load, have yet to be thoroughly investigated. The objective of this study was to determine if plasma Aβ and amyloid brain deposition are associated with physical activity levels, and whether these associations differed between carriers and non-carriers of the apolipoprotein E (APOE) ε4 allele. Five-hundred and forty six cognitively intact participants (aged 60-95 years) from the Australian Imaging, Biomarkers and Lifestyle Study of Ageing (AIBL) were included in these analyses. Habitual physical activity levels were measured using the International Physical Activity Questionnaire (IPAQ). Serum insulin, glucose, cholesterol and plasma Aβ levels were measured in fasting blood samples. A subgroup (n=116) underwent (11)C-Pittsburgh compound B (PiB) positron emission tomography (PET) scanning to quantify brain amyloid load. Higher levels of physical activity were associated with higher high density lipoprotein (HDL) (P=0.037), and lower insulin (P<0.001), triglycerides (P=0.019) and Aβ1-42/1-40 ratio (P=0.001). After stratification of the cohort based on APOE ε4 allele carriage, it was evident that only non-carriers received the benefit of reduced plasma Aβ from physical activity. Conversely, lower levels of PiB SUVR (standardised uptake value ratio) were observed in higher exercising APOE ε4 carriers. Lower plasma Aβ1-42/1-40 and brain amyloid was observed in those reporting higher levels of physical activity, consistent with the hypothesis that physical activity may be involved in the modulation of pathogenic changes associated with AD.
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Sharman MJ, Moussavi Nik SH, Chen MM, Ong D, Wijaya L, Laws SM, Taddei K, Newman M, Lardelli M, Martins RN, Verdile G. The Guinea Pig as a Model for Sporadic Alzheimer's Disease (AD): The Impact of Cholesterol Intake on Expression of AD-Related Genes. PLoS One 2013; 8:e66235. [PMID: 23805206 PMCID: PMC3689723 DOI: 10.1371/journal.pone.0066235] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Accepted: 05/02/2013] [Indexed: 11/25/2022] Open
Abstract
We investigated the guinea pig, Cavia porcellus, as a model for Alzheimer’s disease (AD), both in terms of the conservation of genes involved in AD and the regulatory responses of these to a known AD risk factor - high cholesterol intake. Unlike rats and mice, guinea pigs possess an Aβ peptide sequence identical to human Aβ. Consistent with the commonality between cardiovascular and AD risk factors in humans, we saw that a high cholesterol diet leads to up-regulation of BACE1 (β-secretase) transcription and down-regulation of ADAM10 (α-secretase) transcription which should increase release of Aβ from APP. Significantly, guinea pigs possess isoforms of AD-related genes found in humans but not present in mice or rats. For example, we discovered that the truncated PS2V isoform of human PSEN2, that is found at raised levels in AD brains and that increases γ-secretase activity and Aβ synthesis, is not uniquely human or aberrant as previously believed. We show that PS2V formation is up-regulated by hypoxia and a high-cholesterol diet while, consistent with observations in humans, Aβ concentrations are raised in some brain regions but not others. Also like humans, but unlike mice, the guinea pig gene encoding tau, MAPT, encodes isoforms with both three and four microtubule binding domains, and cholesterol alters the ratio of these isoforms. We conclude that AD-related genes are highly conserved and more similar to human than the rat or mouse. Guinea pigs represent a superior rodent model for analysis of the impact of dietary factors such as cholesterol on the regulation of AD-related genes.
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Foster JK, Albrecht MA, Savage G, Lautenschlager NT, Ellis KA, Maruff P, Szoeke C, Taddei K, Martins R, Masters CL, Ames D. Lack of reliable evidence for a distinctive ε4-related cognitive phenotype that is independent from clinical diagnostic status: findings from the Australian Imaging, Biomarkers and Lifestyle Study. ACTA ACUST UNITED AC 2013; 136:2201-16. [PMID: 23737466 DOI: 10.1093/brain/awt127] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Individuals who carry the apolipoprotein E ε4 polymorphism have an increased risk of late-onset Alzheimer's disease. However, because possession of the ε4 allele confers an increased risk for the diagnosis of dementia, it has proven problematic in older individuals to dissociate the influence of ε4 on cognitive capacity per se as distinct from its influence on clinical diagnostic status. We report a statistical approach that attempts to partial out the influence of diagnostic group membership (Alzheimer's disease, mild cognitive impairment, healthy control) from the influence of apolipoprotein ε4 genetic status on cognitive functioning. The cognitive phenotype hypothesis predicts that ε4-positive individuals will show cognitive deficits (relative to matched ε4-negative individuals) independent of the development of Alzheimer's disease. By contrast, the prodromal/preclinical Alzheimer's disease hypothesis proposes that the effect of apolipoprotein E status on cognitive performance is a function of the increased risk of dementia in individuals with the ε4 allele. We evaluated these hypotheses in the Australian Imaging, Biomarkers and Lifestyle cohort (n = 1112). We first determined whether previously reported findings concerning ε4 status and age-related neuropsychological performance could be explained by the inadvertent recruitment of people with mild cognitive impairment into the healthy control group. We then tested each diagnostic group in isolation to identify any neuropsychological patterns that may be attributed to the ε4 allele. Finally, as interactions between the ε4 allele and age have previously been reported in cognitive functioning within healthy elderly populations, we attempted to determine whether the inclusion of mild cognitively impaired individuals in the sample may drive this relationship. An extensive battery of standardized, well-validated neuropsychological tasks was administered to a final sample of 764 healthy control subjects, 131 individuals with mild cognitive impairment and 168 individuals with Alzheimer's disease. The effect of the ε4 allele on cognitive performance was assessed using a statistical mediation analysis and supplemented with Bayesian methods to address a number of the limitations associated with Fisherian/Neyman-Pearsonian significance testing. Our findings support the prodromal/preclinical Alzheimer's disease hypothesis and do not support the concept of a distinctive ε4-related cognitive phenotype.
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Rembach A, Faux NG, Watt AD, Pertile KK, Rumble RL, Trounson BO, Fowler CJ, Roberts BR, Perez KA, Li QX, Laws SM, Taddei K, Rainey-Smith S, Robertson JS, Vandijck M, Vanderstichele H, Barnham KJ, Ellis KA, Szoeke C, Macaulay L, Rowe CC, Villemagne VL, Ames D, Martins RN, Bush AI, Masters CL. Changes in plasma amyloid beta in a longitudinal study of aging and Alzheimer's disease. Alzheimers Dement 2013; 10:53-61. [PMID: 23491263 DOI: 10.1016/j.jalz.2012.12.006] [Citation(s) in RCA: 99] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2012] [Revised: 10/19/2012] [Accepted: 12/08/2012] [Indexed: 12/28/2022]
Abstract
BACKGROUND A practical biomarker is required to facilitate the preclinical diagnosis of Alzheimer's disease (AD). METHODS Plasma amyloid beta (Aβ)1-40, Aβ1-42, Aβn-40, and Aβn-42 peptides were measured at baseline and after 18 months in 771 participants from the Australian Imaging Biomarkers and Lifestyle (AIBL) study of aging. Aβ peptide levels were compared with clinical pathology, neuroimaging and neuropsychological measurements. RESULTS Although inflammatory and renal function covariates influenced plasma Aβ levels significantly, a decrease in Aβ1-42/Aβ1-40 was observed in patients with AD, and was also inversely correlated with neocortical amyloid burden. During the 18 months, plasma Aβ1-42 decreased in subjects with mild cognitive impairment (MCI) and in those transitioning from healthy to MCI. CONCLUSION Our findings are consistent with a number of published plasma Aβ studies and, although the prognostic value of individual measures in any given subject is limited, the diagnostic contribution of plasma Aβ may demonstrate utility when combined with a panel of peripheral biomarkers.
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Avdesh A, Chen M, Martin-Iverson MT, Mondal A, Ong D, Rainey-Smith S, Taddei K, Lardelli M, Groth DM, Verdile G, Martins RN. Regular care and maintenance of a zebrafish (Danio rerio) laboratory: an introduction. J Vis Exp 2012. [PMID: 23183629 PMCID: PMC3916945 DOI: 10.3791/4196] [Citation(s) in RCA: 162] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
This protocol describes regular care and maintenance of a zebrafish laboratory. Zebrafish are now gaining popularity in genetics, pharmacological and behavioural research. As a vertebrate, zebrafish share considerable genetic sequence similarity with humans and are being used as an animal model for various human disease conditions. The advantages of zebrafish in comparison to other common vertebrate models include high fecundity, low maintenance cost, transparent embryos, and rapid development. Due to the spur of interest in zebrafish research, the need to establish and maintain a productive zebrafish housing facility is also increasing. Although literature is available for the maintenance of a zebrafish laboratory, a concise video protocol is lacking. This video illustrates the protocol for regular housing, feeding, breeding and raising of zebrafish larvae. This process will help researchers to understand the natural behaviour and optimal conditions of zebrafish husbandry and hence troubleshoot experimental issues that originate from the fish husbandry conditions. This protocol will be of immense help to researchers planning to establish a zebrafish laboratory, and also to graduate students who are intending to use zebrafish as an animal model.
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Doecke JD, Laws SM, Faux NG, Wilson W, Burnham SC, Lam CP, Mondal A, Bedo J, Bush AI, Brown B, De Ruyck K, Ellis KA, Fowler C, Gupta VB, Head R, Macaulay SL, Pertile K, Rowe CC, Rembach A, Rodrigues M, Rumble R, Szoeke C, Taddei K, Taddei T, Trounson B, Ames D, Masters CL, Martins RN. Blood-based protein biomarkers for diagnosis of Alzheimer disease. ARCHIVES OF NEUROLOGY 2012; 69:1318-25. [PMID: 22801742 PMCID: PMC6287606 DOI: 10.1001/archneurol.2012.1282] [Citation(s) in RCA: 275] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
OBJECTIVE To identify plasma biomarkers for the diagnosis of Alzheimer disease (AD). DESIGN Baseline plasma screening of 151 multiplexed analytes combined with targeted biomarker and clinical pathology data. SETTING General community-based, prospective, longitudinal study of aging. PARTICIPANTS A total of 754 healthy individuals serving as controls and 207 participants with AD from the Australian Imaging Biomarker and Lifestyle study (AIBL) cohort with identified biomarkers that were validated in 58 healthy controls and 112 individuals with AD from the Alzheimer Disease Neuroimaging Initiative (ADNI) cohort. RESULTS A biomarker panel was identified that included markers significantly increased (cortisol, pancreatic polypeptide, insulinlike growth factor binding protein 2, β(2) microglobulin, vascular cell adhesion molecule 1, carcinoembryonic antigen, matrix metalloprotein 2, CD40, macrophage inflammatory protein 1α, superoxide dismutase, and homocysteine) and decreased (apolipoprotein E, epidermal growth factor receptor, hemoglobin, calcium, zinc, interleukin 17, and albumin) in AD. Cross-validated accuracy measures from the AIBL cohort reached a mean (SD) of 85% (3.0%) for sensitivity and specificity and 93% (3.0) for the area under the receiver operating characteristic curve. A second validation using the ADNI cohort attained accuracy measures of 80% (3.0%) for sensitivity and specificity and 85% (3.0) for area under the receiver operating characteristic curve. CONCLUSIONS This study identified a panel of plasma biomarkers that distinguish individuals with AD from cognitively healthy control subjects with high sensitivity and specificity. Cross-validation within the AIBL cohort and further validation within the ADNI cohort provides strong evidence that the identified biomarkers are important for AD diagnosis.
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Gardener S, Gu Y, Rainey-Smith SR, Keogh JB, Clifton PM, Mathieson SL, Taddei K, Mondal A, Ward VK, Scarmeas N, Barnes M, Ellis KA, Head R, Masters CL, Ames D, Macaulay SL, Rowe CC, Szoeke C, Martins RN. Adherence to a Mediterranean diet and Alzheimer's disease risk in an Australian population. Transl Psychiatry 2012; 2:e164. [PMID: 23032941 PMCID: PMC3565821 DOI: 10.1038/tp.2012.91] [Citation(s) in RCA: 114] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The Mediterranean diet (MeDi), due to its correlation with a low morbidity and mortality for many chronic diseases, has been widely recognised as a healthy eating model. We aimed to investigate, in a cross-sectional study, the association between adherence to a MeDi and risk for Alzheimer's disease (AD) and mild cognitive impairment (MCI) in a large, elderly, Australian cohort. Subjects in the Australian Imaging, Biomarkers and Lifestyle Study of Ageing cohort (723 healthy controls (HC), 98 MCI and 149 AD participants) completed the Cancer Council of Victoria Food Frequency Questionnaire. Adherence to the MeDi (0- to 9-point scale with higher scores indicating higher adherence) was the main predictor of AD and MCI status in multinominal logistic regression models that were adjusted for cohort age, sex, country of birth, education, apolipoprotein E genotype, total caloric intake, current smoking status, body mass index, history of diabetes, hypertension, angina, heart attack and stroke. There was a significant difference in adherence to the MeDi between HC and AD subjects (P < 0.001), and in adherence between HC and MCI subjects (P < 0.05). MeDi is associated with change in Mini-Mental State Examination score over an 18-month time period (P < 0.05) in HCs. We conclude that in this Australian cohort, AD and MCI participants had a lower adherence to the MeDi than HC participants.
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Laws S, Bender S, Rainey‐Smith S, Wilson A, Gupta VB, Ruyck K, Bush A, Ellis K, Macaulay L, Rowe C, Szoeke C, Taddei K, Ames D, Masters C, Martins R. P2‐409: Alzheimer's disease–related changes in plasma cortisol levels and gene involvement in the AIBL study. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.2034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Gardener S, Rainey‐Smith S, Gu Y, Taddei K, Laws S, Gupta VB, Ames D, Ellis K, Head R, Macaulay L, Masters C, Rowe C, Szoeke C, Clifton P, Keogh J, Scarmeas N, Martins R. P3‐146: Diet, neuroimaging biomarkers and Alzheimer's disease: Data from the Australian Imaging, Biomarkers and Lifestyle Study of Ageing. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.1365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Gupta VB, Wilson A, Rainey‐Smith S, Laws S, Bush A, Ellis K, Macaulay L, Rowe C, Szoeke C, Taddei K, Ames D, Masters C, Martins R. P1‐010: Establishing apolipoprotein E as a biomarker for Alzheimer's disease: Australian Imaging, Biomarker and Lifestyle (AIBL) Flagship Study of Ageing. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Brown B, Peiffer J, Gupta VB, Taddei K, Salvado O, Villemagne V, Rainey‐Smith S, Ellis K, Ames D, Rowe C, Masters C, Szoeke C, Martins R. P3‐121: Level of physical activity is associated with hippocampal volume in a subgroup of the AIBL cohort. Alzheimers Dement 2012. [DOI: 10.1016/j.jalz.2012.05.1341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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97
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Sohrabi HR, Bates KA, Weinborn MG, Johnston ANB, Bahramian A, Taddei K, Laws SM, Rodrigues M, Morici M, Howard M, Martins G, Mackay-Sim A, Gandy SE, Martins RN. Olfactory discrimination predicts cognitive decline among community-dwelling older adults. Transl Psychiatry 2012; 2:e118. [PMID: 22832962 PMCID: PMC3365262 DOI: 10.1038/tp.2012.43] [Citation(s) in RCA: 85] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The presence of olfactory dysfunction in individuals at higher risk of Alzheimer's disease has significant diagnostic and screening implications for preventive and ameliorative drug trials. Olfactory threshold, discrimination and identification can be reliably recorded in the early stages of neurodegenerative diseases. The current study has examined the ability of various olfactory functions in predicting cognitive decline in a community-dwelling sample. A group of 308 participants, aged 46-86 years old, were recruited for this study. After 3 years of follow-up, participants were divided into cognitively declined and non-declined groups based on their performance on a neuropsychological battery. Assessment of olfactory functions using the Sniffin' Sticks battery indicated that, contrary to previous findings, olfactory discrimination, but not olfactory identification, significantly predicted subsequent cognitive decline (odds ratio = 0.869; P<0.05; 95% confidence interval = 0.764-0.988). The current study findings confirm previously reported associations between olfactory and cognitive functions, and indicate that impairment in olfactory discrimination can predict future cognitive decline. These findings further our current understanding of the association between cognition and olfaction, and support olfactory assessment in screening those at higher risk of dementia.
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98
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Kanyenda LJ, Verdile G, Boulos S, Krishnaswamy S, Taddei K, Meloni BP, Mastaglia FL, Martins RN. The dynamics of CD147 in Alzheimer's disease development and pathology. J Alzheimers Dis 2012; 26:593-605. [PMID: 21694447 DOI: 10.3233/jad-2011-110584] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
CD147, also known as basigin, EMMPRIN, neurothelin, TCSF, M6, HT7, OX47, or gp42, is a transmembrane glycoprotein of the immunoglobulin super-family. It is expressed in many neuronal and non-neuronal tissues including the hippocampus, pre-frontal cortex thyroid, heart, early erythroid, amygdala, and placenta. This protein is involved in various cellular and biological functions, such as lymphocyte migration and maturation, tissue repair cancer progression, T and B lymphocyte activation, and induction of extracellular matrix metalloproteinase. The CD147 protein interacts with other proteins such as cyclophilin A (CyPA), Cyclophilin B (CyPB), sterol carrier protein (SCP), caveolin-1 and integrins, and can influence amyloid-β (Aβ) peptide levels, a protein that is central to Alzheimer's disease (AD) pathogenesis. Mechanisms by which CD147 regulate Aβ levels remain unclear, thus in this review we discuss its involvement in Aβ production and clearance and potential mechanisms by which controlling CD147 levels could impact on Aβ accumulation and AD pathogenesis.
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99
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Faux NG, Ellis KA, Porter L, Fowler CJ, Laws SM, Martins RN, Pertile KK, Rembach A, Rowe CC, Rumble RL, Szoeke C, Taddei K, Taddei T, Trounson BO, Villemagne VL, Ward V, Ames D, Masters CL, Bush AI. Homocysteine, Vitamin B12, and Folic Acid Levels in Alzheimer's Disease, Mild Cognitive Impairment, and Healthy Elderly: Baseline Characteristics in Subjects of the Australian Imaging Biomarker Lifestyle Study. ACTA ACUST UNITED AC 2011; 27:909-22. [DOI: 10.3233/jad-2011-110752] [Citation(s) in RCA: 70] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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100
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Johnston A, Sohrabi H, Bates K, Taddei K, Laws S, Mackay‐Sim A, Gandy S, Martins R. O2‐03‐02: Olfactory function can predict future cognitive decline in healthy, community‐dwelling older adults. Alzheimers Dement 2011. [DOI: 10.1016/j.jalz.2011.05.851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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