Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer’s disease etiopathogenesis

Alzheimer’s disease (AD) is the most common form of dementia, currently affecting 35 million people worldwide. Apolipoprotein E (APOE) ε4 allele is the major risk factor for sporadic, late-onset AD (LOAD), which comprises over 95% of AD cases, increasing the risk of AD 4-12 fold. Despite this, the role of APOE in AD pathogenesis is still a mystery. Aiming for a better understanding of APOE-specific effects, the ADAPTED consortium analysed and integrated publicly available data of multiple OMICS technologies from both plasma and brain stratified by APOE haplotype (APOE2, APOE3 and APOE4). Combining genome-wide association studies (GWAS) with differential mRNA and protein expression analyses and single-nuclei transcriptomics, we identified genes and pathways contributing to AD in both APOE dependent and independent fashion. Interestingly, we characterised a set of biomarkers showing plasma and brain consistent protein profiles and opposite trends in APOE2 and APOE4 AD cases that could constitute screening tools for a disease that lacks specific blood biomarkers. Beside the identification of APOE-specific signatures, our findings advocate that this novel approach, based on the concordance across OMIC layers and tissues, is an effective strategy for overcoming the limitations of often underpowered single-OMICS studies.

[1]  O. Andreassen,et al.  Sex-dependent autosomal effects on clinical progression of Alzheimer's disease. , 2020, Brain : a journal of neurology.

[2]  Brenda C T Kieboom,et al.  Objectives, design and main findings until 2020 from the Rotterdam Study , 2020, European Journal of Epidemiology.

[3]  M. Hill,et al.  The multiplex model of the genetics of Alzheimer’s disease , 2020, Nature Neuroscience.

[4]  O. Andreassen,et al.  Common variants in Alzheimer’s disease: Novel association of six genetic variants with AD and risk stratification by polygenic risk scores , 2019 .

[5]  A. Ruiz,et al.  Genome Wide Meta-Analysis identifies common genetic signatures shared by heart function and Alzheimer’s disease , 2019, Scientific Reports.

[6]  L. Egaña-Gorroño,et al.  Allograft inflammatory factor-1 supports macrophage survival and efferocytosis and limits necrosis in atherosclerotic plaques. , 2019, Atherosclerosis.

[7]  A. Ruiz,et al.  Genome-wide association analysis of dementia and its clinical endophenotypes reveal novel loci associated with Alzheimer's disease and three causality networks: The GR@ACE project , 2019, Alzheimer's & Dementia.

[8]  R. Tanzi,et al.  TREM2 Acts Downstream of CD33 in Modulating Microglial Pathology in Alzheimer’s Disease , 2019, Neuron.

[9]  M. Fornage,et al.  Analysis of Whole-Exome Sequencing Data for Alzheimer Disease Stratified by APOE Genotype. , 2019, JAMA neurology.

[10]  Sterling C. Johnson,et al.  Non-coding variability at the APOE locus contributes to the Alzheimer’s risk , 2019, Nature Communications.

[11]  C. Moore,et al.  Corrigendum: Phagocytosis in the Brain: Homeostasis and Disease , 2019, Front. Immunol..

[12]  Manolis Kellis,et al.  Author Correction: Single-cell transcriptomic analysis of Alzheimer’s disease , 2019, Nature.

[13]  L. Tang,et al.  Integrated genomic analysis revealed associated genes for Alzheimer's disease in APOE4 non-carriers. , 2019, Current Alzheimer research.

[14]  Emily Merrill,et al.  Novel methods for integration and visualization of genomics and genetics data in Alzheimer's disease , 2019, Alzheimer's & Dementia.

[15]  Jing Wang,et al.  WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs , 2019, Nucleic Acids Res..

[16]  J. Vilo,et al.  g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update) , 2019, Nucleic Acids Res..

[17]  Michael D. Greicius,et al.  A Quarter Century of APOE and Alzheimer’s Disease: Progress to Date and the Path Forward , 2019, Neuron.

[18]  Tom R. Gaunt,et al.  Leveraging brain cortex-derived molecular data to elucidate epigenetic and transcriptomic drivers of complex traits and disease , 2019, Translational Psychiatry.

[19]  Timothy J. Hohman,et al.  Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk , 2019, Nature Genetics.

[20]  Bin Zhang,et al.  Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility , 2018, Nature Genetics.

[21]  A. Hudson,et al.  Herpes viruses and Alzheimer's disease: new evidence in the debate , 2018, The Lancet Neurology.

[22]  Keith A. Boroevich,et al.  Integrated analysis of human genetic association study and mouse transcriptome suggests LBH and SHF genes as novel susceptible genes for amyloid-β accumulation in Alzheimer’s disease , 2018, Human Genetics.

[23]  N. Chen,et al.  Myelin injury in the central nervous system and Alzheimer’s disease , 2018, Brain Research Bulletin.

[24]  Paul Hoffman,et al.  Integrating single-cell transcriptomic data across different conditions, technologies, and species , 2018, Nature Biotechnology.

[25]  A. Brickman,et al.  White matter changes in Alzheimer’s disease: a focus on myelin and oligodendrocytes , 2018, Acta neuropathologica communications.

[26]  D. Posthuma,et al.  Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.

[27]  Wei Tang,et al.  APOE ε4 allele elevates the expressions of inflammatory factors and promotes Alzheimer’s disease progression: A comparative study based on Han and She populations in the Wenzhou area , 2017, Brain Research Bulletin.

[28]  C. Petersen,et al.  SorLA in Interleukin-6 Signaling and Turnover , 2017, Molecular and Cellular Biology.

[29]  Christian Gieger,et al.  52 Genetic Loci Influencing Myocardial Mass. , 2016, Journal of the American College of Cardiology.

[30]  S. Rose-John,et al.  The role of interleukin-6 signaling in nervous tissue. , 2016, Biochimica et biophysica acta.

[31]  O. Franco,et al.  The Rotterdam Study: 2012 objectives and design update , 2011, European Journal of Epidemiology.

[32]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[33]  Matthew E. Ritchie,et al.  limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.

[34]  Magda Tsolaki,et al.  A NOVEL ALZHEIMER DISEASE LOCUS LOCATED NEAR THE GENE ENCODING TAU PROTEIN , 2015, Molecular Psychiatry.

[35]  William D. Richardson,et al.  Motor skill learning requires active central myelination , 2014, Science.

[36]  Magda Tsolaki,et al.  Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease: A Mendelian Randomization Analysis , 2014, PLoS medicine.

[37]  P. Blackshear,et al.  APOε4 is associated with enhanced in vivo innate immune responses in human subjects. , 2014, The Journal of allergy and clinical immunology.

[38]  Stephen D. Turner,et al.  qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots , 2014, bioRxiv.

[39]  G. Tseng,et al.  Meta-analysis methods for combining multiple expression profiles: comparisons, statistical characterization and an application guideline , 2013, BMC Bioinformatics.

[40]  Magda Tsolaki,et al.  Identification of cis-regulatory variation influencing protein abundance levels in human plasma. , 2012, Human molecular genetics.

[41]  J. Schneider,et al.  Overview and findings from the religious orders study. , 2012, Current Alzheimer research.

[42]  S. Dumanis,et al.  APOE genotype alters glial activation and loss of synaptic markers in mice , 2012, Glia.

[43]  Sven Laur,et al.  Robust rank aggregation for gene list integration and meta-analysis , 2012, Bioinform..

[44]  M. Folstein,et al.  Clinical diagnosis of Alzheimer's disease: Report of the NINCDS—ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease , 2011, Neurology.

[45]  James T Becker,et al.  The membrane-spanning 4-domains, subfamily A (MS4A) gene cluster contains a common variant associated with Alzheimer's disease , 2011, Genome Medicine.

[46]  M. Sekiguchi,et al.  Oxidative Damage to RNA and Expression Patterns of MTH1 in the Hippocampi of Senescence-Accelerated SAMP8 Mice and Alzheimer’s Disease Patients , 2011, Neurochemical Research.

[47]  J. Morris,et al.  The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[48]  D. G. Clark,et al.  Common variants in MS4A4/MS4A6E, CD2uAP, CD33, and EPHA1 are associated with late-onset Alzheimer’s disease , 2011, Nature Genetics.

[49]  E. Wijsman,et al.  Genome-Wide Association of Familial Late-Onset Alzheimer's Disease Replicates BIN1 and CLU and Nominates CUGBP2 in Interaction with APOE , 2011, PLoS genetics.

[50]  Yun Li,et al.  METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..

[51]  F. Morón,et al.  Genetic Structure of the Spanish Population , 2010, BMC Genomics.

[52]  S. Scheff,et al.  Oxidative Stress in the Progression of Alzheimer Disease in the Frontal Cortex , 2010, Journal of neuropathology and experimental neurology.

[53]  Davis J. McCarthy,et al.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..

[54]  Ricardo J Komotar,et al.  Genomewide Association Studies of Stroke. , 2009, Neurosurgery.

[55]  D. Stephan,et al.  Genetic control of human brain transcript expression in Alzheimer disease. , 2009, American journal of human genetics.

[56]  Thomas E. Nichols,et al.  Anatomically-distinct genetic associations of APOE ɛ4 allele load with regional cortical atrophy in Alzheimer's disease , 2009, NeuroImage.

[57]  K. Lunetta,et al.  Methods in Genetics and Clinical Interpretation Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Design of Prospective Meta-Analyses of Genome-Wide Association Studies From 5 Cohorts , 2010 .

[58]  V. Pankratz,et al.  Genetic variation in PCDH11X is associated with susceptibility to late-onset Alzheimer's disease , 2009, Nature Genetics.

[59]  R. Mayeux,et al.  Analyses of the National Institute on Aging Late-Onset Alzheimer's Disease Family Study: implication of additional loci. , 2008, Archives of neurology.

[60]  Carl W. Cotman,et al.  Gene expression changes in the course of normal brain aging are sexually dimorphic , 2008, Proceedings of the National Academy of Sciences.

[61]  A. Kitabatake,et al.  Allograft inflammatory factor-1 augments macrophage phagocytotic activity and accelerates the progression of atherosclerosis in ApoE-/- mice. , 2008, International journal of molecular medicine.

[62]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[63]  Qiong Yang,et al.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination. , 2007, American journal of epidemiology.

[64]  D. Reich,et al.  Population Structure and Eigenanalysis , 2006, PLoS genetics.

[65]  Li Hao,et al.  DC-SIGN and immunoregulation. , 2006, Cellular & molecular immunology.

[66]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[67]  Bing Zhang,et al.  WebGestalt: an integrated system for exploring gene sets in various biological contexts , 2005, Nucleic Acids Res..

[68]  Benjamin M. Bolstad,et al.  affy - analysis of Affymetrix GeneChip data at the probe level , 2004, Bioinform..

[69]  M. Vitek,et al.  APOE Genotype and an ApoE-mimetic Peptide Modify the Systemic and Central Nervous System Inflammatory Response* , 2003, Journal of Biological Chemistry.

[70]  P. Mecocci,et al.  Plasma antioxidants are similarly depleted in mild cognitive impairment and in Alzheimer’s disease , 2003, Neurobiology of Aging.

[71]  R. Holman,et al.  Vascular Factors and Risk of Dementia: Design of the Three-City Study and Baseline Characteristics of the Study Population , 2003, Neuroepidemiology.

[72]  J. Trojanowski,et al.  Increase of brain oxidative stress in mild cognitive impairment: a possible predictor of Alzheimer disease. , 2002, Archives of neurology.

[73]  J. Wands,et al.  Mitochondrial DNA Damage as a Mechanism of Cell Loss in Alzheimer's Disease , 2000, Laboratory Investigation.

[74]  J. Haines,et al.  Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer Disease Meta Analysis Consortium. , 1997, JAMA.

[75]  J. Haines,et al.  Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer's disease in late onset families. , 1993, Science.

[76]  M. Pericak-Vance,et al.  Apolipoprotein E: high-avidity binding to beta-amyloid and increased frequency of type 4 allele in late-onset familial Alzheimer disease. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[77]  R. Kronmal,et al.  The Cardiovascular Health Study: design and rationale. , 1991, Annals of epidemiology.

[78]  Seung U. Kim,et al.  Phagocytic Activity of Human Adult Astrocytes and Oligodendrocytes in Culture , 1989, Journal of neuropathology and experimental neurology.

[79]  A. Folsom,et al.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. , 1989, American journal of epidemiology.

[80]  R J Havel,et al.  Proposed nomenclature of apoE isoproteins, apoE genotypes, and phenotypes. , 1982, Journal of lipid research.

[81]  R. Mahley,et al.  Human apolipoprotein E. The complete amino acid sequence. , 1982, The Journal of biological chemistry.

[82]  R. Mahley,et al.  Human E apoprotein heterogeneity. Cysteine-arginine interchanges in the amino acid sequence of the apo-E isoforms. , 1981, The Journal of biological chemistry.

[83]  W. Kannel,et al.  The Framingham Offspring Study. Design and preliminary data. , 1975, Preventive medicine.

[84]  R. Havel,et al.  Primary dysbetalipoproteinemia: predominance of a specific apoprotein species in triglyceride-rich lipoproteins. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[85]  S. Antonarakis,et al.  Homozygous deletion of a gene-free region of 4p15 in a child with multiple anomalies: could biallelic loss of conserved, non-coding elements lead to a phenotype? , 2012, European journal of medical genetics.

[86]  A. J. Slater,et al.  Candidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease. , 2008, Archives of neurology.

[87]  Winnie S. Liang,et al.  GAB2 alleles modify Alzheimer's risk in APOE epsilon4 carriers. , 2007, Neuron.

[88]  A. Aderem,et al.  Mechanisms of phagocytosis in macrophages. , 1999, Annual review of immunology.

[89]  M A Pericak-Vance,et al.  Association of apolipoprotein E allele epsilon 4 with late-onset familial and sporadic Alzheimer's disease. , 1993, Neurology.

[90]  E. Benjamin,et al.  with The Framingham Offspring Study. , 2018 .

[91]  G. Utermann,et al.  Familial hyperlipoproteinemia type III: Deficiency of a specific apolipoprotein (APO E‐III) in the very‐low‐density lipoproteins , 1975, FEBS letters.

[92]  Yurii S. Aulchenko,et al.  BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btm108 Genetics and population analysis GenABEL: an R library for genome-wide association analysis , 2022 .

[93]  Andrew E. Jaffe,et al.  Bioinformatics Applications Note Gene Expression the Sva Package for Removing Batch Effects and Other Unwanted Variation in High-throughput Experiments , 2022 .