Results

Publications

2018

LINK TOPIC TITLE REFERENCE AUTHOR(S) DATE

AD

Age dependency of risk factors for cognitive decline

BMC Geriatrics 2018 18:187

Legdeur N, Heymans MW, Comijs HC, Huisman M, Maier AB, Visser PJ

2018-07-01

AD

The EMIF-AD PreclinAD study: Study Design and Baseline Cohort Overview

Alzheimers Res Ther. 2018 Aug 4;10(1):75

Konijnenberg E, Carter SF, Ten Kate M, den Braber A, Tomassen J, Amadi C et al.

2018-06-30

AD

Capturing the Alzheimer’s disease pathological cascade

Lancet Neurol. 2018 Mar;17(3):199-200

Tijms BM, Visser PJ

2018-06-30

AD

Amyloid-β, Tau, and Cognition in Cognitively Normal Older Individuals: Examining the Necessity to Adjust for Biomarker Status in Normative Data

Front Aging Neurosci. 2018 Jun 25;10:193

Bos I, Vos SJ, Jansen WJ, Vandenberghe R, Gabel S, Estanga A et al.

2018-06-25

AD

Inter-laboratory Proficiency Processing scheme in CSF aliquoting: Implementation and assessment based on biomarkers of Alzheimer’s Disease

Alzheimer's Research & Therapy201810:87

Lewczuk P, Gaignaux A, Kofanova O, Ermann N, Betsou F, Brandner S et al.

2018-08-28

AD

The EMIF-AD Multimodal Biomarker Discovery study: design, methods and cohort characteristics

Alzheimers Res Ther. 2018 Jul 6;10(1):64

Bos I, Vos SJ, Vandenberghe R, Scheltens P, Engelborghs S, Frisoni G et al.

2018-07-06

AD

MRI predictors of amyloid pathology: results from the EMIF-AD multimodal biomarker discovery study

Alzheimer's Research & Therapy201810:100

Ten Kate M, Redolfi A, Peira E, Bos I, Vos SJ, Vandenberghe R et al.

2018-06-01

AD

CSF non-phosphorylated Tau as a biomarker for the discrimination of AD from CJD

Ann Clin Transl Neurol. 2018 Jul; 5(7): 883–887

Ermann N, Lewczuk P, Schimetz M, Lange P, Knipper T, Goebel S et al.

2018-05-26

AD

Diagnostic value of cerebrospinal fluid tau, neurofilament, and progranulin in definite frontotemporal lobar degeneration

Alzheimers Res Ther. 2018 Mar 20;10(1):31

Goossens J, Bjerke M, Van Mossevelde S, Van den Bossche T, Goeman J, De Vil B et al.

2018-03-20

AD

White paper by the Society for CSF Analysis and Clinical Neurochemistry: Overcoming barriers in biomarker development and clinical translation

Alzheimers Res Ther. 2018 Mar 15;10(1):30

Teunissen CE, Otto M, Engelborghs S, Herukka SK, Lehmann S, Lewczuk P et al.

2018-03-15

AD

Neurogranin as Cerebrospinal Fluid Biomarker for Alzheimer Disease: An Assay Comparison Study

Clin Chem. 2018 Jun;64(6):927-937

Willemse EAJ, De Vos A, Herries EM, Andreasson U, Engelborghs S, van der Flier WM

2018-03-01

AD

Added Diagnostic Value of Cerebrospinal Fluid Biomarkers for Differential Dementia Diagnosis in an Autopsy-Confirmed Cohort

J Alzheimers Dis. 2018;63(1):373-381

Niemantsverdriet E, Feyen BFE, Le Bastard N, Martin JJ, Goeman J, De Deyn PP, Bjerke M, Engelborghs S

2018-02-02

AD

Long Non-Coding RNAs Associated with Metabolic Traits in Human White Adipose Tissue.

EBioMedicine. 2018 Apr;30:248-260

Gao H, Kerr A, Jiao H, Hon CC, Rydén M, Dahlman I, Arner P

2018-01-01

AD

Gray matter network disruptions and amyloid beta in cognitively normal adults

Front Aging Neurosci. 2018 Mar 15;10:67

Ten Kate M, Visser PJ, Bakardjian H, Barkhof F, Sikkes SAM, van der Flier WM et al.

2018-01-01

AD

Plasma neurofilament light as a potential biomarker of neurodegeneration in Alzheimer's disease

Alzheimers Res Ther. 2018 Jul 28;10(1):71

Lewczuk P, Ermann N, Andreasson U, Schultheis C, Podhorna J, Spitzer P et al.

2018-07-28

AD

Amyloid β oligomers (AβOs) in Alzheimer's disease

J Neural Transm (Vienna). 2018 Feb;125(2):177-191

Mroczko B, Groblewska M, Litman-Zawadzka A, Kornhuber J, Lewczuk P

2018-02-01

AD

A Specific Reduction in Aβ1-42 vs. a Universal Loss of Aβ Peptides in CSF Differentiates Alzheimer's Disease from Meningitis and Multiple Sclerosis.

Front Aging Neurosci. 2018 May 24;10:152

Spitzer P, Lang R, Oberstein TJ, Lewczuk P, Ermann N, Huttner HB, Masouris I, Kornhuber J, Ködel U, Maler JM

2018-05-24

AD

White matter hyperintensities and vascular risk factors in monozygotic twins

Neurobiol Aging. 2018 Jun;66:40-48

Ten Kate M, Sudre CH, den Braber A, Konijnenberg E, Nivard MG, Cardoso MJ, Scheltens P, Ourselin S, Boomsma DI, Barkhof F, Visser PJ

2018-06-01

AD

Association of Cerebral Amyloid-β Aggregation With Cognitive Functioning in Persons Without Dementia

JAMA Psychiatry. 2018 Jan 1;75(1):84-95

Jansen WJ, Ossenkoppele R, Tijms BM, Fagan AM, Hansson O, Klunk WE et al.

2018-01-01

AD

Screening of Potential Adipokines Identifies S100A4 as a Marker of Pernicious Adipose Tissue and Insulin Resistance

Int J Obes (Lond). 2018 Jan 30

Arner P, Petrus P, Esteve D, Boulomié A, Näslund E, Thorell A et al.

2018-01-30

AD

Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry

World J Biol Psychiatry. 2018 Jun;19(4):244-328

Lewczuk P, Riederer P, O'Bryant SE, Verbeek MM, Dubois B, Visser PJ et al.

2018-06-01

AD

Dementia prevalence and incidence in a federation of European Electronic Health Record databases: The European Medical Informatics Framework resource

Alzheimers Dement. 2018 Feb;14(2):130-139

Perera G, Pedersen L, Ansel D, Alexander M, Arrighi HM, Avillach P et al.

2018-02-01

AD

Cellular Receptors of Amyloid β Oligomers (AβOs) in Alzheimer's Disease

Int J Mol Sci. 2018 Jun 27;19(7)

Mroczko B, Groblewska M, Litman-Zawadzka A, Kornhuber J, Lewczuk P

2018-06-27

AD

Amyloid production and aggregation in preclinical Alzheimer’s disease - a monozygotic twin study

Alzheimers Res Ther. 2018 Aug 4;10(1):75

Konijnenberg E, Carter SF, Ten Kate M, den Braber A, Tomassen J, Amadi C et al.

2018-08-04

Metabolic

Gamma-glutamyltranspeptidase fractions in obese subjects with type 2 diabetes: relation to insulin sensitivity and effects of bariatric surgery

Obes Surg. 2018 May;28(5):1363-1371

Franzini M, Musetti V, Guarino D, Caponi L, Paolicchi A, Emdin M, Ferrannini E, Nannipieri M.

2018-05-28

Metabolic

Elevated Plasma Levels of 3-Hydroxyisobutyric Acid Are Associated With Incident Type 2 Diabetes.

EBioMedicine. 2018 Jan;27:151-155

Mardinoglu A, Gogg S, Lotta LA, Stančáková A, Nerstedt A, Boren J et al.

2018-01-01

Metabolic

Systems biology in hepatology: approaches and applications.

Nat Rev Gastroenterol Hepatol. 2018 Jun;15(6):365-377

Mardinoglu A, Boren J, Smith U, Uhlen M, Nielsen J et al.

2018-01-01

Platform

Key Ethical Challenges in the European Medical Information Framework

Minds and Machines doi.org/10.1007/s11023-018-9467-4

Foridi L, Luetge C, Pagallo U, Schefr B, Valcke P, Vayena E et al.

2018-07-09

Platform

MONTRA: An agile architecture for data publishing and discovery

Comput Methods Programs Biomed. 2018 Jul;160:33-42

Silva LB, Trifan A, Oliveria JL

2018-07-01

Platform

A methodology for fine-grained access control in exposing biomedical data

Stud Health Technol Inform. 2018;247:561-565

Trifan A, van der Lei J, Díaz C, Oliveira JL

2018-09-01

Platform

Real world data reveal a diagnostic gap in non-alcoholic fatty liver disease

BMC Med. 2018; 16: 130

Alexander M, Loomis K, Fairburn-Beech J, Van der Lei J, Duarte-Salles T, Prieto-Alhambra D et al.

2018-02-28

Platform

A modular workflow management framework

In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, 414-421, 2018

Almeida JR, Ribeiro R, Oliveira JL

2018-01-19

Platform

A methodology to perform semi-automatic distributed EHR database queries

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, 127-134, 2018

Fajarda O, Silva LB, Rijnbeek PR, Van Speybroeck M, Oliveria JL

2018-01-19

Platform

A De-Identification Pipeline for Ultrasound Medical Images in DICOM Format.

J Med Syst. 2017 May;41(5):89. doi: 10.1007/s10916-017-0736-1

Monteiro E, Costa C, Oliveria JL

2018-05-01

Platform

comoRbidity: An R package for the systematic analysis of disease comorbidities.

Bioinformatics 2018 Sep 15; 18:3228–3230

Gutiérrez-Sacristán A, Bravo A, Giannoula A, Myaer MA, Sanz F, Furlong LI

2018-04-20

Platform

Identifying temporal patterns in patient disease trajectories using dynamic time warping: A population-based study

Sci Rep, 2018; 8(1): 4216

Giannoula A, Gutierrez Sacristán A, Bravo A, Sanz F, Furlong LI

2018-03-09

             

2017

LINK TOPIC TITLE REFERENCE AUTHOR(S) DATE

Metabolic

Hypoinsulinaemic, hypoketotic hypoglycaemia due to mosaic genetic activation of PI3-kinase

Eur J Endocrinol. 2017 Aug; 177(2): 175–186

Leiter SM, Parker VER, Welters A, Knox R, Rocha N, Clark G et al.

2017-08-01

Metabolic

Muscle and adipose tissue morphology, insulin sensitivity and beta-cell function in diabetic and nondiabetic obese patients: effects of bariatric surgery

Sci Rep. 2017 Aug 21;7(1):9007

Camastra S, Vitali A, Anselmino M, Gastaldelli A, Bellini R, Berta R et al.

2017-08-21

Metabolic

Plasma mannose levels are associated with incident type 2 diabetes and cardiovascular disease

Cell Metab. 2017 Aug 1;26(2):281-283

Mardinoglu A, Stančáková A, Lotta LA, Kuusisto J, Boren J, Blüher M et al.

2017-07-09

Metabolic

Improving economics of NASH/NAFLD treatment through the use of systems biology

Drug Discov Today. 2017 Oct;22(10):1532-1538

Bosley J, Boren C, Lee S, Grøtli M, Nielsen J, Boren J et al.

2017-07-09

Metabolic

Constitutive activation of AKT2 in humans leads to hypoglycemia without fatty liver or metabolic dyslipidemia

J Clin Endocrinol Metab. 2017 Aug 1;102(8):2914-2921

Minic M, Rocha N, Harris J, Groeneveld MP, Leiter S, Wareham N et al.

2017-05-23

Metabolic

Insulin resistance and normal thyroid hormone levels: prospective study and metabolomic analysis

Am J Physiol Endocrinol Metab. 2017 May 1;312(5):E429-E436

Ferrannini E, Iervasi G, Cobb J, Ndreu R, Nannipieri M

2017-05-15

Metabolic

Longitudinal analyses of the steroid metabolome in obese PCOS girls with weight loss.

Endocr Connect. 2017 May;6(4):213-224

Reinehr T, Kulle A, Rothermel J, Knop-Schmenn C, Lass N, Bosse C, Holterhus PM

2017-04-03

AD

The frequency and influence of dementia risk factors in prodromal Alzheimer's disease

Neurobiol Aging. 2017 Aug;56:33-40

Bos I, Vos SJ, Frölich L, Kornhuber J, Wiltfang J, Maier W et al.

2017-08-01

AD

Does genetic risk help to predict amyloid burden in a non-demented population? A Bayesian approach

bioRxiv doi.org/10.1101/174995

Voyle N, Jansen W, Keohane A, Patel H, Folarin A, Newhouse S et al.

2017-08-01

AD

Strategic roadmap for an early diagnosis of Alzheimer’s disease based on biomarkers

Lancet Neurol. 2017 Aug;16(8):661-676

Frisoni GB, Boccardi M, Barkhof F, Blennow K, Cappa S, Chiotis K et al.

2017-08-01

AD

Amyloid-independent atrophy patterns predict time to progression to dementia in MCI

Alzheimers Res Ther. 2017 Sep 12;9(1):73

Ten Kate M, Barkhof F, Visser PJ, Teunissen CE, Scheltens P, van der Flier WM, Tijms BM

2017-09-12

AD

Cerebrovascular and amyloid pathology in predementia stages: the relationship with neurodegeneration and cognitive decline

Alzheimers Res Ther. 2017 Dec 29;9(1):101

Bos I, Verhey FR, Ramakers IHGB, Jacobs HIL, Soininen H, Freund-Levi Y et al.

2017-12-29

AD

Clinical validity of medial temporal atrophy as a biomarker for Alzheimer’s disease in the context of a structured 5-phase development framework

Neurobiol Aging. 2017 Apr;52:167-182.e1

Ten Kate M, Barkhof F, Boccardi M, Visser PJ, Jack CR Jr, Lovblad KO et al.

2017-04-01

AD

Cognitive functioning of individuals aged 90 years and older withoutdementia: A systematic review

Ageing Res Rev. 2017 Jul;36:42-49

Legdeur N, Binnekade TT, Otten RH, Badissi M, Scheltens P, Visser PJ, Maier AB

2017-03-08

AD

Brain Amyloid Pathology and Cognitive Function - Alzheimer Disease Without Dementia?

JAMA. 2017;317(22):2285-2287

Visser PJ, Tijms B

2017-03-01

AD

Association of blood lipids with Alzheimer’s Disease: a comprehensive lipidomics analysis

Alzheimers Dement. 2017 Feb;13(2):140-151

Proitsi P, Kim M, Whiley L, Simmons A, Sattlecker M, Velayudhan L et al.

2017-02-13

Platform

Real world big data for clinical research and drug development

Drug Discov Today. 2018 Mar;23(3):652-660

Singh G, Schulthess D, Hughes N, Vannieuwenhuyse B, Kalra D

2017-12-30

Platform

La Reutilización de la Información de la Historia Clínica Electrónica para la Investigación. De la Medicina Traslacional a la Medicina de Precisión: el nuevo paradigma "Learning Health System"

I+S: Revista de la Sociedad Española de Informática y Salud,2017, 124:14-19

Mayer MA.

2017-09-01

Platform

General guidelines for biomedical software development

F1000Research 2017, 6:273

Silva LB, Jimenez RC, Blomberg N, Luis Oliveira J.

2017-07-12

Platform

Data Integration and Sharing Supporting Drug R&D

Comprehensive Medicinal Chemistry III vol. 1, pp. 436–443

Sanz F

2017-06-13

Platform

The launch of the European Institute for innovation through health data.

Journal of Medicines Development Sciences, 3(1): 165.

Kalra D, Sundgren M, Claerhout B, et al

2017-04-01

Platform

Using Electronic Health Records to Assess Depression and Cancer Comorbidities

Stud Health Technol Inform. 2017;235:236-240

Mayer MA, Gutierrez-Sacristan A, Leis A, De La Peña S, Sanz F, Furlong LI

2017-05-01

Platform

Nine Princples of Semantic Harmonization

AMIA Annu Symp Proc. 2016; 2016: 451–459

Cunningham JA, Van Speybroeck M, Kalra D, Verbeeck R

2017-02-10

Metabolic

Cephalic phase of insulin secretion in response to a meal is unrelated to family history of Type 2 diabetes

PLoS One. 2017 Mar 13;12(3):e0173654

Eliasson B, Rawshani A, Axelsen M, Hammarstedt A, Smith U.

2017-03-13

Metabolic

Obesity/insulin resistance rather than liver fat increases coagulation factor activities and expression in humans

Thromb Haemost. 2017 Jan 26;117(2):286-294

Lallukka S, Luukkonen PK, Zhou Y, Isokuortti E, Leivonen M, Juuti A et al.

2017-01-26

AD

Mitochondrial genes are altered in blood early in Alzheimer's disease

Neurobiol Aging. 2017 May;53:36-47

Lunnon K, Keohane A, Pidsley R, Newhouse S, Riddoch-Contreras J, Thubron EB et al.

2017-08-01

AD

The frequency and influence of dementia risk factors in prodromal Alzheimer's disease.

Neurobiol Aging. 2017 Aug;56:33-40

Bos I, Vos SJ, Frölich L, Kornhuber J, Wiltfang J, Maier W et al.

2017-08-01

Metabolic

Genome-wide DNA promoter methylation and transcriptome analysis in human adipose tissue unravels novel candidate genes for obesity

Mol Metab. 2017 Jan; 6(1): 86–100

Keller M, Hopp L, Liu X, Wohland T, Rohde K, Cancello R et al.

2017-01-01

AD

Functional and effective whole brain connectivity using magnetoencephalography to identify monozygotic twin pairs

Sci Rep. 2017 Aug 29;7(1):9685

Demuru M, Gouw AA, Hillebrand A, Stam CJ, van Dijk BW, Scheltens P et al.

2017-01-01

             

2016

LINK TOPIC TITLE REFERENCE AUTHOR(S) DATE

Metabolic

Integrated Network Analysis Reveals an Association between Plasma Mannose Levels and Insulin Resistance

Cell Metab. 2016 Jul 12;24(1):172-84

Lee S, Zhang C, Kilicarslan M, Piening BD, Bjornson E, Hallström BM et al.

2016-07-12

AD

Cerebrospinal Fluid Aβ42/40 Corresponds Better than Aβ42 to Amyloid PET in Alzheimer's Disease

J Alzheimers Dis. 2017;55(2):813-822

Lewczuk P, Matzen A, Blennow K, Parnetti L, Molinuevo JL, Eusebi P, Kornhuber J, Morris JC, Fagan AM

2016-11-01

AD

Complement Biomarkers as predictors of disease progression in Alzheimer’s disease

J Alzheimers Dis. 2016 Sep 6;54(2):707-16

Hakobyan S, Harding K, Aiyaz M, Hye A, Dobson R, Baird A, Liu B, Harris CL, Lovestone S, Morgan BP

2016-09-06

Platform

Identificare i casi di diabete tipo 2 in una rete di fonti di dati eterogenee la strategia del progetto EMIF

Not Ist Super Sanità 2016;29(10)

Roberto G, Gini R

2016-10-01

Metabolic

A systematic review of aetiological and predictive biomarkers of the risk of developing type 2 diabetes

PLoS One. 2016 Oct 27;11(10):e0163721

Abbasi A, Sahlqvist AS, Lotta L, Brosnan JM, Vollenweider P, Giabbanelli P et al.

2016-10-27

Metabolic

Insulin resistance uncoupled from dyslipidemia due to C-terminal PIK3R1 mutations

JCI Insight. 2016 Oct 20;1(17):e88766

Huang-Doran I, Tomlinson P, Payne F, Gast A, Sleigh A, Bottomley W et al.

2016-10-20

AD

Non-Phosphorylated Tau as a Potential Biomarker of Alzheimer’s Disease: Analytical and Diagnostic Characterization

J Alzheimers Dis. 2017;55(1):159-170

Lewczuk P, Lelental N, Lachmann I, Holzer M, Flach K, Brandner S et al.

2016-11-01

Platform

Big Data Technologies in Healthcare – Needs, opportunities and challenges

BDVA Valencia Summit White paper

TF7 Healthcare Subgroup. Big Data Value Association

2016-11-29

Metabolic

Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomization Analysis

PLoS Med. 2016 Nov 29;13(11):e1002179

Lotta LA, Scott RA, Sharp SJ, Burgess S, Luan J, Tillin et al.

2016-11-29

AD

Genetic risk and plasma tau as markers of amyloid-beta and tau burden in cerebrospinal fluid

J Alzheimers Dis. 2017; 55(4): 1417–1427

Voyle, N, Patel H, Folarin A, Newhouse S, Johnston C, Visser PJ et al.

2016-12-20

Metabolic

Non-alcoholic fatty liver disease and risk of type 2 diabetes

Best Pract Res Clin Endocrinol Metab. 2016 Jun;30(3):385-95

Lallukka S, Yki-Järvinen H

2016-06-01

Platform

Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project

PLoS ONE 11(8): e0160648. 

Roberto G, Leal I, Sattar N, Loomis AK, Avillach P, Egger P, et al.

2016-08-31

Metabolic

Hepatic ceramides dissociate steatosis and insulin resistance in patients with non-alcoholic fatty liver disease

J Hepatol. 2016 May;64(5):1167-75

Luukkonen PK, Zhou Y, Sädevirta S, Leivonen M, Arola J, Orešič M, Hyötyläinen T, Yki-Järvinen H

2016-05-01

Metabolic

Phosphorylated IGFBP-1 as a non-invasive predictor of liver fat in NAFLD

Sci Rep. 2016 Apr 19;6:24740

Petäjä EM, Zhou Y, Havana M, Hakkarainen A, Lundbom N, Ihalainen J, Yki-Järvinen H

2016-04-19

Platform

Data Safe Havens and Trust: Toward a Common Understanding of Trusted Research Platforms for Governing Secure and Ethical Health Research

JMIR Med Inform. 2016 Jun 21;4(2):e22

Lea NC, Nicholls J, Dobbs C, Sethi N, Cunningham J, Ainsworth J, Heaven M, Peacock T, Peacock A, Jones K, Laurie G, Kalra D

2016-06-21

AD

Genetic variations underlying Alzheimer's disease: evidence from genome-wide association studies and beyond

Lancet Neurol. 2016 Jul;15(8):857-68

Cuyvers E, Sleegers K

2016-07-15

AD

A Decade of Cerebrospinal Fluid Biomarkers for Alzheimer's Disease in Belgium

J Alzheimers Dis. 2016 Aug 10;54(1):383-95.

Somers C, Struyfs H, Goossens J, Niemantsverdriet E, Luyckx J, De Roeck N, De Roeck E, De Vil B, Cras P, Martin JJ, De Deyn PP, Bjerke M, Engelborghs S

2016-08-10

AD

Validation of microRNAs in Cerebrospinal Fluid as Biomarkers for Different Forms of Dementia in a Multicenter Study

J Alzheimers Dis. 2016 Apr 16;52(4):1321-33.

Müller M, Kuiperij HB, Versleijen AA, Chiasserini D, Farotti L, Baschieri F, Parnetti L, Struyfs H, De Roeck N, Luyckx J, Engelborghs S, Claassen JA, Verbeek MM

2016-05-08

AD

sTREM2 cerebrospinal fluid levels are a potential biomarker for microglia activity in early-stage Alzheimer's disease and associate with neuronal injury markers. 

EMBO Mol Med. 2016 May 2;8(5):466-76

Suárez-Calvet M, Kleinberger G, Araque Caballero MÁ, Brendel M, Rominger A, Alcolea D, Fortea J, Lleó A, Blesa R, Gispert JD, Sánchez-Valle R, Antonell A, Rami L, Molinuevo JL, Brosseron F, Traschütz A, Heneka MT, Struyfs H, Engelborghs S, Sleegers K, Van Broeckhoven C, Zetterberg H, Nellgård B, Blennow K, Crispin A, Ewers M, Haass C

2016-05-02

Metabolic

Risk factors for spontaneously self-reported postprandial hypoglycemia after bariatric surgery

J Clin Endocrinol Metab. 2016 Oct;101(10):3600-3607

Nannipieri M, Belligoli A, Guarino D, Busetto L, Moriconi D, Fabris R, Mari A, Baldi S, Anselmino M, Foletto M, Vettor R, Ferrannini E

2016-06-23

Metabolic

Adipose and circulating CCL18 levels associate with metabolic risk factors in women

J Clin Endocrinol Metab. 2016 Jul 26:jc20162390

Eriksson Hogling D, Petrus P, Gao H, Bäckdahl J, Dahlman I, Laurencikiene J, Acosta J, Ehrlund A, Näslund E, Kulyte A, Mejhert N, Andersson DP, Arner P, Rydén M

2016-07-26

Metabolic

The epigenetic signature of systemic insulin resistance in obese women

Diabetologia. 2016 Nov;59(11):2393-405

Arner P, Sahlqvist AS, Sinha I, Xu H, Yao X, Waterworth D, Rajpal D, Loomis AK, Freudenberg JM, Johnson T, Thorell A, Näslund E, Ryden M, Dahlman I

2016-08-18

AD

Gray matter network disruptions and amyloid beta in cognitively normal adults

Neurobiol Aging. 2016 Jan;37:154-60

Tijms BM, Kate MT, Wink AM, Visser PJ, Ecay M, Clerigue M, Estanga A, Garcia Sebastian M, Izagirre A, Villanua J, Martinez Lage P, van der Flier WM, Scheltens P, Sanz Arigita E, Barkhof F

2016-01-01

AD

Diagnostic Impact of Cerebrospinal Fluid Biomarker (Pre-)Analytical Variability in Alzheimer's Disease

J Alzheimers Dis. 2016;51(1):97-106

Niemantsverdriet E, Goossens J, Struyfs H, Martin JJ, Goeman J, De Deyn PP, Vanderstichele H, Engelborghs S

2016-02-01

Link

AD

Impact of APOE-e4 and family history of dementia on gray matter atrophy in cognitively healthy middle-aged adults

Neurobiol Aging 2016 Feb;38:14-20

Ten Kate M, Sanz-Arigita EJ, Tijms BM, Wink AM, Clerique M, Garcia-Sebastian M, Izagirre A, Ecay-Torres M, Estanga A, Villanua J, Vrenken H, Visser PJ, Martinez-Lage P, Barkhof F

2016-02-01

Platform

Semantic Knowledge Base Construction from Radiology Reports

Healthinf, (Biostec 2016) ISBN 978-989-758-170-0, pages 345-352

Monteiro E, Sernadela P, Matos S, Costa C, Oliveira JL

2016-02-20

AD

Comparison of Different Matrices as Potential Quality Control Samples for Neurochemical Dementia Diagnostics

J Alzheimers Dis. 2016 Mar 1;52(1):51-64

Lelental N, Brandner S, Kofanova O, Blennow K, Zetterberg H, Andreasson U et al.

2016-03-01

             

2015

LINK TOPIC TITLE REFERENCE AUTHOR(S) DATE
Link

Platform

PsyGeNET: a knowledge platform on psychiatric disorders and their genes

Bioinformatics. 2015 Sep 15;31(18):3075-7

Gutiérrez-Sacristán A, Grosdidier S, Valverde O, Torrens M, Bravo À, Piñero J, Sanz F, Furlong LI

2015-09-15

Link

AD

Alzheimer's disease - Recent biomarker developments in relation to updated diagnostic criteria

Clin Chim Acta 2015 Sep 20;449:3-8

Höglund K, Fourier A, Perret-Liaudet A, Zetterberg H, Blennow K, Portelius E

2015-09-20

Link

AD

Validation of the Erlangen Score Algorithm for the prediction of the development of dementia due to AD in pre-dementia subjects

J Alzheimers Dis. 2015 Sep 9;48(2):433-41

Lewczuk P, Kornhuber J, Toledo JB, Trojanowski JQ, Knapik-Czajka M, Peters O, Wiltfang J, Shaw LM

2015-09-09

Link

AD

Age-stratified prevalence of mild cognitive impairment and dementia in European populations, a systematic review

J Alzheimers Dis. 2015 Sep 9;48(2):355-9

Alexander M, Perera G, Ford L, Arrighi HM, Foskett N, Debove C, Novak G, Gordon MF

2015-09-09

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AD

A novel multi-tissue diagnostic of healthy ageing can determine cognitive health status using blood RNA

Genome Biol. 2015; 16(1): 185

Sood S, Gallagher IJ, Lunnon K, Rullman E, Keohane A, Crossland H, Phillips BE, Cederholm T, Jensen T, van Loon LJC, Lannfelt L, Kraus WE, Atherton PJ, Howard R,  Gustafsson T, Hodges A, Timmons JA

2015-09-07

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Boosting translational research on Alzheimer's disease in Europe: The Innovative Medicine Initiative AD research platform

Alzheimers Dement. 2015 Sep;11(9):1121-2

Vaudano E, Vannieuwenhuyse B, Van Der Geyten S, van der Lei J, Visser PJ, Streffer J, Ritchie C, McHale D, Lovestone S, Hofmann-Apitius M,Truyen L, Goldman M

2015-09-01

Link

AD

No evidence to suggest that the use of acetylcholinesterase inhibitors confounds the results of two blood-based biomarker studies in Alzheimer’s disease

J Alzheimers Dis. 2015 Aug 3;47(3):741-50

Chiam JT, Lunnon K, Voyle N, Proitsi P, Coppola G, Geschwind D, Nelson S, Johnston C, Soininen H, Kloszewska I, Mecocci P, Tsolaki M,Vellas B, Hodges A, Lovestone S, Newhouse S, Dobson RJ, Kiddle SJ, Sattlecker M

2015-08-03

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Biomarkers for Alzheimer's disease: a controversial topic

Lancet Neurol. 2015 Aug;14(8):781-3

Frisoni GB, Visser PJ

2015-08-01

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AD

Generalizability of the disease state index prediction model for identifying patients progressing from mild cognitive impairment to Alzheimer's disease.

J Alzheimers Dis. 2015;44(1):79-92

Hall A, Muñoz-Ruiz M, Mattila J, Koikkalainen J, Tsolaki M, Mecocci P, Kloszewska I, Vellas B, Lovestone S, Visser PJ, Lötjonen J, Soininen H;Alzheimer Disease Neuroimaging Initiative; AddNeuroMed consortium; DESCRIPA and Kuopio L-MCI.

2015-07-07

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Blood protein markers of Neocortical Amyloid Burden: A candidate study using SOMAscan technology

J Alzheimers Dis. 2015 Jun 26;46(4):947

Voyle N, Baker D, Burnham SC, Covin A, Zhang Z, Sangurdekar DP, Tan Hehir CA, Bazenet C, Lovestone S, Kiddle S, Dobson RJ

2015-07-01

Link

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Cerebrospinal fluid P-tau181P: biomarker for improved differential diagnosis

Front Neurol. 2015 Jun 17;6:138

Struyfs H, Niemantsverdriet E, Goossens J, Fransen E, Martin JJ, De Deyn PP, Engelborghs S

2015-06-17

Link

AD

Plasma protein biomarkers of Alzheimer’s disease endophenotypes in asymptomatic older twins: early cognitive decline and regional brain volumes

Transl Psychiatry. 2015 Jun 16;5:e584

Kiddle SJ, Steves CJ, Mehta M, Simmons A, Xu X, Newhouse S, Sattlecker M, Ashton NJ, Bazenet C, Killick R, Adnan J, Westman E, Nelson S,Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Curtis C, Breen G, Williams SC, Lovestone S, Spector TD, Dobson RJ

2015-06-16

Link

Metabolic

Associations between potentially modifiable risk factors and Alzheimer’s disease: A Mendelian randomization study

PLoS Med. 2015 Jun 16;12(6):e1001841

Østergaard SD, Mukherjee S, Sharp SJ, Proitsi P, Lotta LA, Day F, Perry JR, Boehme KL, Walter S, Kauwe JS, Gibbons LE; Alzheimer’s Disease Genetics Consortium; GERAD1 Consortium; EPIC-InterAct Consortium, Larson EB, Powell JF, Langenberg C, Crane PK, Wareham NJ, Scott RA

2015-06-09

Link

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Prevalence of cerebral amyloid pathology in persons without dementia: a meta-analysis

JAMA. 2015 May 19; 313(19): 1924–1938

Jansen WJ, Ossenkoppele R, Knol DL, Tijms BM, Scheltens P, Verhey FRJ, Visser PJ, and the Amyloid Biomarker Study Group

2015-05-19

Link

AD

Temporal evolution of biomarkers and cognitive markers in the asymptomatic, MCI, and dementia stage of Alzheimer's disease

Alzheimers Dement. 2015 May;11(5):511-22

Bertens D, Knol DL, Scheltens P, Visser PJ; Alzheimer's Disease Neuroimaging Initiative

2015-05-01

Link

AD

Importance and impact of pre-analytical variables on Alzheimer’s disease biomarker levels in cerebrospinal fluid

Clin Chem Apr 2015; 61(5):734-743

Le Bastard N, De Deyn PP, Engelborghs S

2015-04-13

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Prevalence and prognosis of Alzheimer’s disease at the mild cognitive impairment stage

Brain. 2015 May;138(Pt 5):1327-38

Vos SJ, Verhey F, Frölich L, Kornhuber J, Wiltfang J, Maier W, Peters O, Rüther E, Nobili F, Morbelli S, Frisoni GB, Drzezga A, Didic M, van Berckel BN, Simmons A, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Muscio C, Herukka SK, Salmon E,Bastin C, Wallin A, Nordlund A, de Mendonça A, Silva D, Santana I, Lemos R, Engelborghs S, Van der Mussele S; Alzheimer’s Disease Neuroimaging Initiative, Freund-Levi Y, Wallin ÅK, Hampel H, van der Flier W, Scheltens P, Visser PJ

2015-02-18

Link

Metabolic

Adipose Tissue Morphology Predicts Improved Insulin Sensitivity Following Moderate Weight Loss

Int J Obes (Lond). 2015 Jun;39(6):893-8

Eriksson-Hogling D, Andersson DP, Bäckdahl J, Hoffstedt J, Rössner S, Thorell A, Arner E, Arner P, Rydén M

2015-02-10

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Linking genetics of brain changes to Alzheimer’s disease: sparse whole genome association scan of regional MRI volumes in the ADNI and AddNeuroMed cohorts

J Alzheimers Dis. 2015;45(3):851-64

Khondoker M, Newhouse S, Westman E, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, Kloszewska I, Soininen H, Lovestone S, Dobson R,Simmons A; AddNeuroMed consortium; Alzheimer's Disease Neuroimaging Initiative

2015-02-03

Link

AD

An Integrated Workflow for Multiplex CSF Proteomics and Peptidomics-Identification of Candidate Cerebrospinal Fluid Biomarkers of Alzheimer's Disease

J Proteome Res. 2015 Feb 6;14(2):654-63

Hölttä M, Minthon L, Hansson O, Holmén-Larsson J, Pike I, Ward M, Kuhn K, Rüetschi U, Zetterberg H, Blennow K, Gobom J

2015-02-01

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AD

TDP-43 as a possible biomarker for frontotemporal lobar degeneration: a systematic review of existing antibodies

Acta Neuropathol Commun. 2015 Apr 1;3:15

Goossens J, Vanmechelen E, Trojanowski JQ, Lee VM, Van Broeckhoven C, van der Zee J, Engelborghs S

2015-02-01

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AD

Overdiagnosing vascular dementia using structural brain imaging for dementia work-up

J Alzheimers Dis. 2015;45(4):1039-43

Niemantsverdriet E, Feyen BF, Le Bastard N, Martin JJ, Goeman J, De Deyn PP, Engelborghs S

2015-01-15

Link

AD

Plasma lipidomics analysis finds long chain cholesteryl esters to be associated with Alzheimer’s disease

Transl Psychiatry. 2015 Jan 13;5:e494

Proitsi P, Kim M, Whiley L, Pritchard M, Leung R, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Sham P, Lovestone S, Powell JF,Dobson RJ, Legido-Quigley C

2015-01-13

Link

AD

Diagnostic accuracy of CSF amyloid-β isoforms for early and differential dementia diagnosis

J Alzheimers Dis. 2015;45(3):813-22

Struyfs H, Van Broeck B, Timmers M, Fransen E, Sleegers K, Van Broeckhoven C, De Deyn PP, Streffer JR, Mercken M, Engelborghs S

2015-01-01

Link

Platform

Reuse of EHRs to Support Clinical Research in a Hospital of Reference

Stud Health Technol Inform. 2015;210:224-6

Mayer MA, Furlong LI, Torre P, Planas I, Cots F, Izquierdo E, Portabella J, Rovira J, Gutierrez-Sacristan A, Sanz F

2015-01-01

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AD

Blood protein predictors of brain amyloid for enrichment in clinical trials?

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring 1 (2015) 48–60

Ashton NJ, Kiddle SJ, Graf J, Ward M, Baird AL, Hye A, Westwood S, Wonga KV, Dobson RJ, Rabinovici GD, Miller BL, Rosen HJ, Torres A, Zhang Z, Thurfjell L, Covini A, Tan Hehir C, Baker D, Bazenet C, Lovestone S, on behalf of the AIBL Research Group

2015-03-01

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Metabolic

Circulating triacylglycerol signatures and insulin sensitivity in NAFLD associated with the E167K variant in TM6SF2

J Hepatol 2015 Mar; 62(3):657-63

Zhou Y, Llauradó G, Oresic M, Hyötyläinen T, Orho-Melander M, Yki-Järvinen H

2015-03-01

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Longitudinal protein changes in blood plasma associated with the rate of cognitive decline in Alzheimer's disease

J Alzheimers Dis. 2015;49(4):1105-14

Sattlecker M, Khondoker M, Proitsi P, Williams S, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Dobson RJ

2015-11-23

Link

Metabolic

Adipose tissue fatty acid chain length and mono-unsaturation increases with obesity and insulin resistance

Sci Rep 2015 Dec 17;5:18366

Yew Tan C, Virtue S, Murfitt S, Robert LD, Phua YH, Dale M, Griffin JL, Tinahones F, Scherer PE, Vidal-Puig A

2015-12-17

Link

Metabolic

Body mass index and risk of non-alcoholic fatty liver disease: Two electronic health record prospective studies

J Clin Endocrinol Metab 2016 Mar;101(3):945-52

Loomis AK, Kabadi S, Preiss D, Hyde C, Bonato V, St Louis M, Desai J, Gill JM, Welsh P, Waterworth D, Sattar N

2015-12-16

Link

Metabolic

Definitions of Metabolic Health and Risk of Future Type 2 Diabetes in BMI categories: A Systematic Review and Network Meta-Analysis

Diabetes Care 2015 Nov;38(11):2177-87

Lotta LA, Abbasi A, Sharp SJ, Sahlqvsit AS, Waterworth D, Brosnan JM, Scott RA, Langenberg C, Wareham NJ

2015-11-01

Link

Metabolic

Evidence of a causal association between hyperinsulinaemia and endometrial cancer: A Mendelian randomization analysis

J Natl Cancer Inst 2015 Jul 1;107(9): pii: djv178

Nead KT, Sharp SJ, Thompson DJ, Painter JN, Savage DB, Semple RK, Barker A, Australian National Endometrial Cancer Study Group (ANECS), Perry JR, Attia J, Dunning AM, Easton DF, Holliday E, Lott LA, O'Mara T, McEvoy M, Pharoah PD, Scott RJ, Spurdle AB, Langenberg C, Wareham NJ, Scott RA

2015-07-01

Link

AD

Alzheimer's disease: a report from the 7th Kuopio Azheimer symposium

Neurodegener Dis Manag 2015 Oct;5(5):379-82

Haapasalo A, Pikkarainen M, Soininen H

 

2015-10-29

Link

AD

A Pathway Based Classification Method for Analyzing Gene Expression for Alzheimer's Disease Diagnosis

J Alzheimers Dis 2015 Oct 15;49(3):659-69

Voyle N, Keohane A, Newhouse S, Lunnon K, Johnston C, Soininen H Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Hodges A, Kiddle S, Dobson RJ

2015-10-15

Link

Metabolic

Type 2 diabetes in migrant South Asians: mechanisms, mitigation and management

Lancet Diabetes Endocrinol 2015 Dec;3(12):1004-16

Sattar N, Gill JM

2015-12-01

Link

Metabolic

Extensive weight loss reveals distinct gene expression changes in human subcutaneous and visceral adipose tissue

Sci Rep 2015 Oct 5;5:14841

Mardinoglu A, Heiker JT, Gärtner D, Björnson E, Schön MR, Flehmig G, Klöting N, Krohn K, Fasshauer M, Stumvoll M, Nielsen J, Blüher M

2015-10-05

Link

Platform

Challenges and opportunities for exploring patient-level data

Biomed Res Int 2015;2015:150435

Lopes P, Bastião Silva L, Oliveira JL

 

2015-10-04

Link

Metabolic

The UK10K project identifies rare variants in health and disease

Nature 2015 Oct 1;526(7571):82-90

UK10K Consortium, Walter K, Min JL, Huang J, Crooks L, Memari Y, McCarthy S, Perry JR, Xu C, Futema M, Lawson D, Iotchkova V, Schiffels S, Hendricks AE, Danecek P, Li R, Floyd J, Wain LV, Barroso I, Humphries SE, Hurles ME, Zeggini E, Barrett JC, Plagnol V, Richards JB, Greenwood CM, Timpson NJ, Durbin R, Soranzo N

 

2015-10-01

Link

AD

The genetic landscape of Alzheimer's disease: clinical implications and perspectives

Genet Med 2015 Aug 27

Van Cauwenberghe C, Van Broeckhoven C, Sleegers K

 

2015-08-27

Link

Metabolic

The epigenetic signature of subcutaneous fat is linked to altered expression of genes implicated in lipid metabolism in obese women

Clin Epigenetics 2015 Sep 8;7(1):93

Arner P, Sinha I, Thorell A, Rydén M, Dahlman-Wright K, Dahlman I

2015-09-08

Link

Metabolic

Tyrosine is associated with insulin resistance in longitudinal metabolomic profiling of obese children

J Diabetes Res 2016;2016

Hellmuth C, Kirchberg FF, Lass N, Harder U, Peissner W, Koletzko B, Reinehr T

2015-09-06

Link

AD

Current developments in dementia risk prediction modelling: An updated systematic review

PLoS One 2015 Sep 3;10(9):2136181

Tang EY, Harrison SL, Errington L, Gordon MF, Visser PJ, Novak G, Dufouil C, Brayne C, Robinson L, Launer LJ, Stephan BC

2015-09-03

Link

Platform

Café Variome: General-Purpose Software for Making Genotype-Phenotype Data Discoverable in Restricted or Open Access Contexts

Hum Mutat 2015 Oct;36(10):957-64

Lancaster O, Beck T, Atlan D, Swertz M, Thangavelu D, Veal C, Dalgleish R, Brookes AJ

 

2015-08-25

Link

Platform

Architecture to summarize patient-level data across borders and countries

Stud Health Technol Inform 2015;216:687-90

Bastião Silva LA, Días C, van der Lei J, Oliveira JL

2015-08-19

Link

AD

Blood metabolite markers of neocortical amyloid-β burden: Discovery and enrichment using candidate proteins

Transl Psychiatry 2016 Jan 26;6:e719

Voyle N, Kim M, Proitsi P, Ashton NJ, Baird AL, Bazenet C, Hye A, Westwood S, Chung R, Ward M, Rabinovici GD, Lovestone S, Breen G, Legido-Quigley C, Dobson RJ, Kiddle SJ

 

2015-08-18

Link

AD

C-terminal neurogranin is increased in cerebrospinal fluid but unchanged in plasma in Alzheimer's disease

Alzheimers Dement 2015 Dec;11(12):1461-9

De Vos A, Jacobs D, Struyfs H, Fransen E, Andersson K, Portelius E, Andreasson U, De Surgeloose D, Hernalsteen D, Sleegers K, Robberecht C, Van Broeckhoven C, Zetterberg H, Blennow K, Engelborghs S, Vanmechelen E

 

2015-12-01

Link

AD

Prevalence of Amyloid PET Positivity in Dementia Syndromes: A Meta-Analysis

JAMA 2015 May 19;313(19):1939-49

Ossenkoppele R, Jansen WJ, Rabinovici GD, Knol DL, van der Flier WM, van Berckel BN, Scheltens P, Visser PJ, Amyloid PET Study Group, Verfaillie SC, Zwan MD, Adriaanse SM, Lammertsma AA, Barkhof F, Jaqust WJ, Miller BL, Rosen HJ, Landau SM, Villemagne VL, Rowe CC, Lee DY, Na DL, Seo SW, Sarazin M Roe CM, Sabri O, Barthel H, Koglin N, Hodges J, Leyton CE, Vandenberghe R, van Laere K, Drzezga A, Forster S, Grimmer T, Sánchez-Juan P, Carril JM, Mok V, Camus V, Klunk WE, Cohen AD, Meyer PT, Hellwig S, Newberg A, Frederiksen KS, Fleisher AS, Mintun MA, Wolk DA, Nordberg A, Rinne JO, Chételat G, Lleo A, Blesa R, Fortea J, Madasen K, Rodrigue KM, Brooks DJ

 

2015-05-19

Link

Metabolic

The fat cell epigenetic signature in post-obese women is characterized by global hypomethylation and differential DNA methylation of adipogenesis genes

Int J Obes (Lond) 2015 Jun;39(6):910-9

Dahlman I, Sinha I, Gao H, Brodin D, Thorell A, Rydén M, Andersson DO, Henriksson J, Perfilyev A, Ling C, Dahlman-Wright K, Arner P

2015-03-18

Link

AD

Alzheimer's disease cerebrospinal fluid biomarker in cognitively normal subjects

Brain 2015 Sep;138(Pt9):2701-15

Toledo JB, Zetterberg H, van Harten AC, Glodzik L, Martinez-Lage P, Bocchio-Chiavetto L, Rami L, Hansson O, Sperling R, Engelborghs S, Osorio RS, Vanderstichele H, Vandijck M, Hampel H, Teipl S, Moghekar A, Albert M, Hu WT, Monge Argilés JA, Gorostidi A, Teunissen CE, De Deyn PP, Hyman BT, Molinuevo JL, Frisoni GB, Linazasoro G, de Leon MJ, van der Flier WM, Scheltens O, Blennow K, Shaw LM, Trojanowski JQ, Alzheimer's Disease Neuroimaging Initiative

2015-07-28

Link

AD

Diffusion kurtosis imaging: a biomarker for early diagnosis of Alzheimer’s disease?

J Alzheimers Dis. 2015; 48(4):937-48

Struyfs H, Van Hecke W, Veraart J, Sijbers J, Slaets S, De Belder M, Wuyts L, Peters B, Sleegers K, Robberecht C, Van Broeckhoven C, De Belder F, Parizel PM, Engelborghs S

2015-10-27

             

2014

LINK TOPIC TITLE REFERENCE AUTHOR(S) DATE
Link

AD

A 22-SNP Alzheimer risk score correlates with family history, onset age and CSF Aβ42

Alzheimers Dement. 2015 Jun 15. pii: S1552-5260(15)00191-0

Sleegers, Bettens, De Roeck, Van Cauwenberghe, Cuyvers, Verheijen J, Struyfs H, Van Dongen J, Vermeulen S, Engelborghs S,Vandenbulcke M, Vandenberghe R, De Deyn PP, Van Broeckhoven C; BELNEU consortium

2014-12-26

Link

AD

Diagnostic value of MIBG cardiac scintigraphy for differential dementia diagnosis

Int J Geriatr Psychiatry. 2015 Aug;30(8):864-9

Slaets S, Van Acker F, Versijpt J, Hauth L, Goeman J, Martin JJ, De Deyn PP, Engelborghs S

2014-11-03

Link

Metabolic

Family history of type 2 diabetes increases the risk of both obesity and its complications: is type 2 diabetes a disease of inappropriate lipid storage?

J Intern Med. 2015 May;277(5):540-51

Cederberg H, Stancáková A, Kuusisto J, Laakso M, Smith U

2014-01-09

Link

Metabolic

Type 2 diabetes as a disease of ectopic fat?

BMC Med. 2014 Aug 26;12:123

Sattar N, Gill JM

2014-08-26

Link

AD

Temporal evolution of biomarkers and cognitive markers in the asymptomatic, MCI, and dementia stage of Alzheimer's disease

Alzheimers Dement. 2015 May;11(5):511-22

Bertens D, Knol DL, Scheltens P, Visser PJ; Alzheimer's Disease Neuroimaging Initiative

2014-08-20

Link

AD

Circulating Proteomic Signatures of Chronological Age

J Gerontol A Biol Sci Med Sci. 2015 Jul;70(7):809-16

Menni C, Kiddle SJ, Mangino M, Viñuela A, Psatha M, Steves C, Sattlecker M, Buil A, Newhouse S, Nelson S, Williams S, Voyle N, Soininen H,Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Spector TD, Dobson R, Valdes AM

2014-08-14

Link

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Hypomorphism in human NSMCE2 linked to primordial dwarfism and insulin resistance

J Clin Invest. 2014 Sep;124(9):4028-38

Payne F, Colnaghi R, Rocha N, Seth A, Harris J, Carpenter G, Bottomley WE, Wheeler E, Wong S, Saudek V, Savage D, O'Rahilly S, Carel JC, Barroso I,O'Driscoll M, Semple R

2014-08-08

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Depression in mild cognitive impairment is associated with progression to Alzheimer's disease: a longitudinal study

J Alzheimers Dis. 2014;42(4):1239-50

Van der Mussele S, Fransen E, Struyfs H, Luyckx J, Mariën P, Saerens J, Somers N, Goeman J, De Deyn PP, Engelborghs S

2014-07-07

Link

AD

Plasma proteins predict conversion to dementia from prodromal disease

Alzheimers Dement. 2014 Nov;10(6):799-807

Hye A, Riddoch-Contreras J, Baird AL, Ashton NJ, Bazenet C, Leung R, Westman E, Simmons A, Dobson R, Sattlecker M, Lupton M, Lunnon K,Keohane A, Ward M, Pike I, Zucht HD, Pepin D, Zheng W, Tunnicliffe A, Richardson J, Gauthier S, Soininen H, Kloszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S

2014-07-03

Link

Metabolic

Mutations disrupting the Kennedy phosphatidylcholine pathway in humans with congenital lipodystrophy and fatty liver disease

Proc Natl Acad Sci U S A. 2014 Jun 17;111(24):8901-6

Payne F, Lim K, Girousse A, Brown RJ, Kory N, Robbins A, Xue Y, Sleigh A, Cochran E, Adams C, Dev Borman A, Russel-Jones D, Gorden P,Semple RK, Saudek V, O'Rahilly S, Walther TC, Barroso I, Savage DB

2014-06-17

Link

Platform

Egas: a collaborative and interactive document curation platform

Database (Oxford). 2014 Jun 11;2014. pii: bau048

Campos D, Lourenço J, Matos S, Oliveira JL

2014-06-11

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Validation of the AD-CSF-index in autopsy-confirmed Alzheimer's disease patients and healthy controls

J Alzheimers Dis. 2014;41(3):903-9

Struyfs H, Molinuevo JL, Martin JJ, De Deyn PP, Engelborghs S

2014-04-04

Link

Metabolic

Changes in the serum metabolite profile in obese children with weight loss

Eur J Nutr. 2015 Mar;54(2):173-81

Reinehr T, Wolters B, Knop C, Lass N, Hellmuth C, Harder U, Peissner W, Wahl S, Grallert H, Adamski J, Illig T, Prehn C, Yu Z, Wang-Sattler R, Koletzko B

2014-04-17

Link

AD, Metabolic

Advanced glycation end products, dementia and diabetes

Proc Natl Acad Sci U S A. 2014 Apr 1;111(13):4743-4

Lovestone S, Smith U

2014-04-01

Link

Metabolic

A population-based study on the prevalence of NASH using scores validated against liver histology

J Hepatol. 2014 Apr;60(4):839-46

Hyysalo J, Männistö VT, Zhou Y, Arola J, Kärjä V, Leivonen M, Juuti A, Jaser N, Lallukka S, Käkelä P, Venesmaa S, Simonen M, Saltevo J, Moilanen L, Korpi-Hyövalti E, Keinänen-Kiukaanniemi S, Oksa H, Orho-Melander M, Valenti L, Fargion S, Pihlajamäki J, Peltonen M, Yki-Järvinen H

2014-04-01

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Metabolic

Circulating Triacylglycerol Signatures in Nonalcoholic Fatty Liver Disease Associated With the I148M Variant in PNPLA3 and With Obesity

Diabetes. 2014 Jan;63(1):312-22

Hyysalo J, Gopalacharyulu, Bian H, Hyötyläinen T, Leivonen M, Jaser N, Juuti A, Honka MJ, Nuutila P, Olkkonen VM, Oresic M, Yki-Järvinen H

2014-01-01

Link

Metabolic

Adipose Tissue CIDEA is Associated, Independently of Weight Variation, to Change in Insulin Resistance during a Longitudinal Weight Control Dietary Program in Obese Individuals

PLoS One 2014 Jul; 9(7):e98707

Monastier E, Déjean S, Le Gall C, Saris WH, Langin D, Viguerie N

2014-07-01

Link Platform Medical imaging archiving: a comparison between several NoSQL solutions BHI. 2014, Jun;65-68. LAB Silva, L Beroud, C Costa, JL Oliveira 2014-06-01
Link Platform Normalizing medical imaging archives for dose quality assurance and productivity auditing MeMeA. 2014, Jun;1-6. LAB Silva, L Ribeiro, C Costa, JL Oliveira, M Santos 2014-06-11
Link Platform Semantic search over DICOM repositories 2014 IEEE International Conference on Healthcare Informatics (ICHI). 204, Sept 15-17, p238-246. LAB Silva, C Costa, JL Oliveira 2014-09-15

             

2013

LINK TOPIC TITLE REFERENCE AUTHOR(S) DATE
Link

AD

Unresolved questions in Alzheimer's research - will biomarkers help?

Biomark Med. 2014;8(1):61-3

Zetterberg H

2013-12-14

Link

Metabolic

Prediction of non-alcoholic fatty-liver disease and liver fat content by serum molecular lipids. 

Diabetologia. 2013 Oct;56(10):2266-74

Orešic M, Hyötyläinen T, Kotronen A, Gopalacharyulu P, Nygren H, Arola J, Castillo S, Mattila I, Hakkarainen A, Borra RJ, Honka MJ, Verrijken A, Francque S, Iozzo P, Leivonen M, Jaser N, Juuti A, Sørensen TI, Nuutila P, Van Gaal L, Yki-Järvinen H

2013-07-04

Link

AD

Preclinical Alzheimer’s disease and its outcome: a longitudinal cohort study

Lancet Neurol. 2013 Oct;12(10):957-65

Vos SJ, Xiong C, Visser PJ, Jasielec MS, Hassenstab J, Grant EA, Cairns NJ, Morris JC, Holtzman DM, Fagan AM

2013-01-15

Deliverables

EXECUTIVE SUMMARY TOPIC DELIVERABLE DATE

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Platform

D15.8 -  Final report on outreach activities

2018-06-30

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Platform

D15.7 -  Final Business Plan

2018-06-30

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Platform

D14.12 -  EMIF Platform

2018-06-30

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Platform

D14.11 -  System implementation feedback and evaluation report 4

2018-06-30

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Platform

D13.6 -  Final suite of modules and tools for data analysis

2018-06-30

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Platform

D12.7 -  Final report on data flows data integration processing and linkage

2018-06-30

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Platform

D12.6 -  Final version data extraction software

2018-06-30

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Platform

D11.6 -  Final Report on Harmonisation and Semantics

2018-06-30

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Platform

D10.5 -  Final version of the EMIF Code of Practice

2018-06-30

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Platform

D9.5 -  Final evaluation results and roadmap for future development

2018-06-30

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Metabolic

D8.5 -  Scientific publications describing the use of clinical trial and population-based studies to investigate the natural history of NAFLD

2018-06-30

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Metabolic

D8.4 -  Legal and Ethical Framework established

2018-06-30

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Metabolic

D8.3 -  Evaluation of liver function tests in placebo groups from existing clinical trials to try to determine factors that influence the nature

2018-06-30

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Metabolic

D8.2 -  Study report or manuscript on the calibration of the Framingham Risk score in European NAFLD patients

2018-06-30

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Metabolic

D8.1 -  Test efficiencies with respect to identification of clinical trial subjects and feasibility of recruitment

2018-06-30

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Metabolic

D7.4 -  Report describing tests of algorithms for clinical outcomes in diverse populations of obese adults and children

2018-06-30

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Metabolic

D7.3 -  Development of algorithms to predict clinical outcomes in obese adults and children

2018-06-30

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Metabolic

D7.2 -  Protocols for EMR data extraction and analysis to understand risk factors associated with metabolic diseases

2018-06-30

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Metabolic

D7.1 -  A report on the prevalence and overlap between obesity and the four endpoints of interest in a real world setting

2018-06-30

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Metabolic

D6.7 -  Report describing the association of potentially causal biomarkers with clinical outcomes in large-scale case-cohort studies

2018-06-30

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Metabolic

D6.6 -  Report describing causal significance of biomarkers associated with metabolic consequence of obesity

2018-06-30

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Metabolic

D6.5 -  Completion of a report describing the association of up to 6 novel biomarkers emerging from WP5 with the metabolic consequences of obesity

2018-06-30

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Metabolic

D5.4 -  Identify potential targets for drug development and diagnostic tests which meet standard clinical sensitivity and specificity criteria

2018-06-30

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Metabolic

D5.3 -  Functional assessment of novel biomarkers in cell models

2018-06-30

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Metabolic

D5.2 -  Identify novel biomarkers of risk in extreme phenotypes which exhibit adequate sensitivity and specificity

2018-06-30

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AD

D4.2 -  Screening algorithms tested and defined

2018-06-30

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AD

D4.1 -  Report on cross-validated plasma, genetic, CSF, MRI markers for diagnosis for predementia of AD

2018-06-30

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AD

D3.14 -  Report joint study AD-Metabolic

2018-06-30

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AD

D3.13 -  10 Assays of biomarkers for clinical use

2018-06-30

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AD

D3.12 -  Integrative model of biomarkers from different modalities

2018-06-30

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AD

D3.11 -  2 novel combinatorial MRI marker algorithms for prognosis

2018-06-30

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AD

D3.8 -  4 Epigenomic profiles associated with abnormal AD CSF biomarkers

2018-06-30

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AD

D3.6 -  4 GWAS-identified SNPs for abnormal CSF abeta and tau and hippocampal atrophy

2018-06-30

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AD

D3.4 -  2 Metabolomics based plasma markers for diagnosis

2018-06-30

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AD

D3.2 -  4 Proteomic based plasma markers for prognosis

2018-06-30

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AD

D3.1 -  4 Proteomic based plasma markers for diagnosis

2018-06-30

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AD

D2.6 -  Definition of extreme phenotypes based on resilience to dementia

2018-06-30

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AD

D2.2 -  Validated criteria for presymptomatic AD and prodromal AD

2018-06-30

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AD

D1.5 -  Cohort of cognitively normal subjects with 2-year follow-up data

2018-06-30

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AD

D1.4 -  Cohort of cognitively normal subjects with AD biomarkers baseline data

2018-06-30

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AD

D1.3 -  Dataset with EHR data linked to research cohort data

2018-06-30

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AD

D3.10 - Novel combinatorial MRI marker algorithms for diagnosis

2016-12-31

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Platform

D9.4 - Second framework evaluation results and requirements v3

2016-12-31

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Platform

D10.4 - First draft of the EMIF Ethical Code of Practice

2016-12-31

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Platform

D11.5 - Second version of the harmonised information model and associated terminology mapping

2016-12-31

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Platform

D14.9 - System implementation feedback and evaluation report, iteration 3

2016-12-31

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Platform

D14.10 - EMIF Platform, version 4

2016-12-31

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Platform

D15.6 - Update to Business Plan - February 2017

2016-12-31

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PMO

D16.16 - Technical and Financial Annual Reports #4

2016-12-31

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AD

D3.3 - 2 Proteomic based CSF markers for prognosis

2016-12-31

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AD

D1.2 - Private Remote Research database environment with pooled data from research cohorts

2015-06-30

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AD

D2.1 - Summary statistics of cohorts included

2015-12-31

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AD

D2.2 - Validated criteria for presymptomatic AD and prodromal AD

2015-12-31

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AD

D2.3 - Definition of extreme phenotypes based on cognitive decline

2015-12-31

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AD

D2.4 - Prediction model for cognitive decline

2015-12-31

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AD

D2.5 - Definition of extreme phenotypes based on AD biomarkers

2015-12-31

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AD

D1.1 - Report on the overview of available data sources

2013-12-31

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Metabolic

D5.1 - Establishing functional datawarehousing and management

2013-12-31

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Metabolic

D6.1 - Analytical framework to investigate metabolic predictors of the complications of obesity

2013-12-31

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Metabolic

D6.2 - A report describing the systematic review of candidate biomarkers for the prediction of the metabolic consequences of obesity

2014-06-30

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Metabolic

D6.8 - Investigation of the causal nature of associations between obesity and selected obesity-related complications

2014-12-31

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Metabolic

D6.3 - A report describing the association of up to 6 candidate biomarkers with metabolic traits in up to 20 000 participants in well-phenotyped metabolically phenotyped studies

2015-12-31

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Metabolic

D6.4 - A report describing the association of a metabolomic profile with the metabolic complications of obesity in up to 20 000 participants in well-phenotyped metabolically phenotyped studies

2015-12-31

Download D9.2

Platform

D9.2 - Platform requirements v1 and evaluation plan

2013-12-31

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Platform

D10.3 - Full database fingerprinting

2013-12-31

Download D11.2

Platform

D11.2 - First version of common data model and associated terminology mapping

2013-12-31

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Platform

D12.1 - Data extraction software v1

2013-12-31

Download D14.2

Platform

D14.2 - A data management solution for vertical projects, version 1

2013-12-31

Download D14.3

Platform

D14.3 - EMIF-Platform, version 1

2013-12-31

Download D15.1

Platform

D15.1 - Report on business models for data exploitation in biosciences

2013-12-31

Download D14.4

Platform

D14.4 - System implementation feedback and evaluation report, iteration 1

2014-04-30

Download D11.3

Platform

D11.3 - Extended specification of the semantic framework of reference

2014-06-30

Download D13.1

Platform

D13.1 - Evaluation of technologies and tools available for data analysis and visualization

2014-06-30

Download D9.1

Platform

D9.1 - Initial requirements set

2013-02-28

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Platform

D15.2 - Market analysis: usage models and data sources characterization

2014-08-31

Download D9.3

Platform

D9.3 - Interim framework evaluation results and requirements v2

2014-12-31

Download D12.2

Platform

D12.2 - Data extraction software v2

2014-12-31

Download D12.3

Platform

D12.3 - Interim report on primary data flows, benchmarking and quality analyses

2014-12-31

Download 13.2

Platform

D13.2 - Data analysis tools for vertical projects v1

2014-12-31

Download D14.5

Platform

D14.5 - A data management solution for vertical projects, v2

2014-12-31

Download D14.6

Platform

D14.6 - EMIF-Platform, version 2

2014-12-31

Download D15.3

Platform

D15.3 - Initial business model description

2014-12-31

Download D11.4

Platform

D11.4 - Second version of common data model and associated terminology mapping

2014-12-31

Download 15.4

Platform

D15.4 - First report on outreach activities: leveraging with related initiatives, contacts with external data sources and with key stakeholders

2015-04-30

Download D10.1

Platform

D10.1 - Initial database fingerprinting

2013-03-31

Download 13.3

Platform

D13.3 - Data analysis and visualization tools, including workflows for linkage with omics data v1

2015-06-30

Download D14.7

Platform

D14.7 - First EMIF-Platform architecture stack

2015-08-31

Download D11.4

Platform

D11.4 - First complete version of the harmonised information model and associated terminology mapping

2015-12-31

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Platform

D12.4 - Interim report on data linkage

2015-12-31

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Platform

D12.5 - Interim report on specialised data extraction, benchmarking, aggregation and processing

2015-12-31

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Platform

D13.4 - Data analysis tools for vertical projects v2

2015-12-31

Download D14.8

Platform

D14.8 - EMIF-Platform, version 3

2015-12-31

Download D15.5

Platform

D15.5 - First draft of business plan

2015-12-31

Download D10.2

Platform

D10.2 - First report on federation procedures, ethical and legal issues

2013-06-30

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Platform

D11.1 - Initial specification of the semantic framework of reference

2013-06-30

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Platform

D14.1 - First report on EMIF-Platform desing and architecture including specifications for privacy protection tools and services

2013-06-30

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Platform

D13.5 - Data analysis and visualisation tools, including workflows for linkage with omics data v2

2016-10-31

Download D16.1

PMO

D16.1 - Operational portal to allow internal team information dissemination, team collaboration, and team document storage

2013-01-31

Download D16.12

PMO

D16.12 - Technical and financial annual report #1

2013-12-31

Download D16.11

PMO

D16.11 - Updated project and risk plans for WP1-15

2014-12-31

Download D16.13

PMO

D16.13 - Technical and financial annual report #2

2014-12-31

Download D16.2

PMO

D16.2 - Templates for dissemination materials: logo design, ppt and poster templates, newsletter formats

2013-03-31

Download D16.14

PMO

D16.14 - Interim assessment of the project

2015-08-31

Download D16.15

PMO

D16.15 - Technical and financial annual report #3

2015-12-31

Download D16.4

PMO

D16.4 - Communication plan

2013-06-30

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PMO

D16.5 - Project handbook

2013-06-30

Download D16.6

PMO

D16.6 - Guidance document for EMIF scientific publications

2013-06-30

Download D16.9

PMO

D16.9 - Operational website for both internal use and external dissemination

2013-06-30

Download 16.10

PMO

D16.10 - Detailed project and risk plans for WP1-15

2013-06-30