Browsing by Author "Wang, Xue"
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Item Blood-based gene and co-expression network levels are associated with AD/MCI diagnosis and cognitive phenotypes(Wiley, 2025-01-09) Chen, Xuan; Reddy, Joseph S.; Wang, Xue; Quicksall, Zachary; Nguyen, Thuy; Reyes, Denise A.; Graff-Radford, Jonathan; Jack, Clifford R., Jr.; Lowe, Val J.; Knopman, David S.; Petersen, Ronald C.; Kantarci, Kejal; Nho, Kwangsik; Allen, Mariet; Carrasquillo, Minerva M.; Saykin, Andrew J.; Ertekin-Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineBackground: Alzheimer’s disease (AD) patients have decline in cognitive domains including memory, language, visuospatial, and/or executive function and brain pathology including amyloid‐β and tau deposition, neurodegeneration, and frequent vascular co‐pathologies detectable by neuroimaging and/or cerebrospinal fluid biomarkers. However, molecular disease mechanisms are complex and heterogeneous. It is necessary to develop cost‐effective blood‐based biomarkers reflecting brain molecular perturbations in AD. We identified blood‐based gene and co‐expression network level changes associated with AD/mild cognitive impairment (MCI) diagnosis and AD‐related phenotypes. Method: We performed differential gene expression and weighted gene co‐expression network analysis, followed by meta‐analysis, using blood transcriptome data of 391 participants from the Mayo Clinic Study of Aging and 654 participants from the Alzheimer's Disease Neuroimaging Initiative. The neuroimaging phenotypes include microhemorrhages, infarcts, amyloid burden, hippocampal volume, and white matter hyperintensities. The cognitive phenotypes include standardized cognitive subtest scores and composite scores for memory, language, visuospatial, and executive function. Result: Five out of 18 modules(M) are significantly associated with diagnosis or cognition (FDR‐adjusted p<0.05). M1 and M15 both positively associates with memory, M1 positively associated with language and M15 with visuospatial function. M1 and M15 are enriched in differentially expressed genes (DEGs) associated with language and executive function, respectively. M2 negatively associates with logical memory delayed recall scores(LMDR), memory, executive, and language functions and is enriched in DEGs for these phenotypes. M8 negatively associates with memory, language and executive functions and is enriched in DEGs for memory and language. M12 positively associates with LMDR. M1 and M15 are down‐regulated while M2 and M8 are up‐regulated in AD/MCI patients. Cell‐type enrichment analysis showed M2 is enriched in monocytes and neutrophils; M8 in monocytes; M15 in B cells (FDR <0.05). Gene ontology terms enriched in these modules indicated broad consistency with their cell types. Conclusion: We identified five modules significantly associated with AD/MCI or cognitive phenotypes using blood transcriptome data. These findings nominate blood transcriptome changes and their enriched biological processes as potential pathomechanisms in cognitive decline and AD/MCI development. We aim to investigate these blood transcripts as potential biomarkers for AD or AD‐related phenotypes and therapeutic targets through additional replication and experimental validation studies.Item Discovery of Genes Underlying Cognitive Resilience in Individuals Predisposed to Alzheimer's Disease Risk(Wiley, 2025-01-09) Tsai, Wei; McNiff, Caitlin E.; Reddy, Joseph S.; Wang, Xue; Quicksall, Zachary; Nho, Kwangsik; Dunn, Amy R.; Allen, Mariet; Heckman, Michael G.; Ren, Yingxue; Zhao, Na; Kantarci, Kejal; Mielke, Michelle M.; Petersen, Ronald C.; Kaczorowski, Catherine C.; Carrasquillo, Minerva M.; Saykin, Andrew J.; Ertekin-Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineBackground: Two main risk factors of Alzheimer’s disease (AD) are aging and APOE‐ε4. However, some individuals remain cognitively normal despite having these risk factors. They are considered “cognitively resilient”. This study aimed to identify molecular factors that confer cognitive resilience in APOE‐ε4 carriers ≥ 80 years of age and may serve as biomarkers. Method: We applied weighted gene co‐expression network analysis (WGCNA) to generate consensus co‐expression networks from blood of participants in two antemortem cohorts, the Mayo Clinic Study of Aging (MCSA, n=105), and the Alzheimer’s Disease Neuroimaging Initiative (ADNI, n=91), using RNA‐sequencing and microarray data, respectively. We associated these networks with resilience (resilient vs non‐resilient), cognitive endophenotypes and hippocampal volume. Preservation between consensus networks from blood and those derived from postmortem brain tissues of AD and control donors from AMP‐AD (n=1174) was evaluated. We validated the human findings in four AD mouse models. Finally, machine learning models were utilized to discriminate cases (AD+mild cognitive impairment (MCI)) from controls in MCSA, ADNI and ANMerge antemortem cohorts. Result: Four consensus networks were significantly correlated with a memory phenotype (logical memory delayed recall=LMDR) and hippocampal volume in both MCSA and ADNI. Among these, blood expression module M3 was most preserved with the brain transcriptome. M3 was enriched with NDUF hub genes that are involved in the mitochondrial respiratory chain. Expression levels of M3 and many blood NDUFs had significant associations with better LMDR and hippocampal volume. In brain, NDUFs were upregulated in controls compared to AD, and their expression levels were associated with better global cognition and decreased AD neuropathology. Many NDUFs were significantly downregulated in the hippocampus or cortex of AD mice compared to wild‐types. Lastly, models that included blood NDUFs improved diagnostic accuracy of AD+MCI compared to models that only included demographic and risk variables (age, sex, APOE‐ε4) in MCSA, ADNI and ANMerge. In MCSA and ADNI, adding NDUFs’ expression to models that included established blood biomarkers (Aβ42/40, ptau181, NFL) further improved diagnostic accuracy. Conclusion: Our results suggest that mitochondrial NDUFs are centrally‐linked peripheral molecular signatures that may be resilience factors against AD and serve as both therapeutic targets and novel diagnostic biomarkers.Item Fibroblast GATA-4 and GATA-6 promote myocardial adaptation to pressure overload by enhancing cardiac angiogenesis(Springer, 2021-04-19) Dittrich, Gesine M.; Froese, Natali; Wang, Xue; Kroeger, Hannah; Wang, Honghui; Szaroszyk, Malgorzata; Malek‑Mohammadi, Mona; Cordero, Julio; Keles, Merve; Korf‑Klingebiel, Mortimer; Wollert, Kai C.; Geffers, Robert; Mayr, Manuel; Conway, Simon J.; Dobreva, Gergana; Bauersachs, Johann; Heineke, Joerg; Pediatrics, School of MedicineHeart failure due to high blood pressure or ischemic injury remains a major problem for millions of patients worldwide. Despite enormous advances in deciphering the molecular mechanisms underlying heart failure progression, the cell-type specific adaptations and especially intercellular signaling remain poorly understood. Cardiac fibroblasts express high levels of cardiogenic transcription factors such as GATA-4 and GATA-6, but their role in fibroblasts during stress is not known. Here, we show that fibroblast GATA-4 and GATA-6 promote adaptive remodeling in pressure overload induced cardiac hypertrophy. Using a mouse model with specific single or double deletion of Gata4 and Gata6 in stress activated fibroblasts, we found a reduced myocardial capillarization in mice with Gata4/6 double deletion following pressure overload, while single deletion of Gata4 or Gata6 had no effect. Importantly, we confirmed the reduced angiogenic response using an in vitro co-culture system with Gata4/6 deleted cardiac fibroblasts and endothelial cells. A comprehensive RNA-sequencing analysis revealed an upregulation of anti-angiogenic genes upon Gata4/6 deletion in fibroblasts, and siRNA mediated downregulation of these genes restored endothelial cell growth. In conclusion, we identified a novel role for the cardiogenic transcription factors GATA-4 and GATA-6 in heart fibroblasts, where both proteins act in concert to promote myocardial capillarization and heart function by directing intercellular crosstalk.Item Genome-wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimer's disease related proteins(BMC, 2023-01-07) Oatman, Stephanie R.; Reddy, Joseph S.; Quicksall, Zachary; Carrasquillo, Minerva M.; Wang, Xue; Liu, Chia‑Chen; Yamazaki, Yu; Nguyen, Thuy T.; Malphrus, Kimberly; Heckman, Michael; Biswas, Kristi; Nho, Kwangsik; Baker, Matthew; Martens, Yuka A.; Zhao, Na; Kim, Jun Pyo; Risacher, Shannon L.; Rademakers, Rosa; Saykin, Andrew J.; DeTure, Michael; Murray, Melissa E.; Kanekiyo, Takahisa; Alzheimer’s Disease Neuroimaging Initiative; Dickson, Dennis W.; Bu, Guojun; Allen, Mariet; Ertekin‑Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineBackground: Alzheimer's disease (AD) is neuropathologically characterized by amyloid-beta (Aβ) plaques and neurofibrillary tangles. The main protein components of these hallmarks include Aβ40, Aβ42, tau, phosphor-tau, and APOE. We hypothesize that genetic variants influence the levels and solubility of these AD-related proteins in the brain; identifying these may provide key insights into disease pathogenesis. Methods: Genome-wide genotypes were collected from 441 AD cases, imputed to the haplotype reference consortium (HRC) panel, and filtered for quality and frequency. Temporal cortex levels of five AD-related proteins from three fractions, buffer-soluble (TBS), detergent-soluble (Triton-X = TX), and insoluble (Formic acid = FA), were available for these same individuals. Variants were tested for association with each quantitative biochemical measure using linear regression, and GSA-SNP2 was used to identify enriched Gene Ontology (GO) terms. Implicated variants and genes were further assessed for association with other relevant variables. Results: We identified genome-wide significant associations at seven novel loci and the APOE locus. Genes and variants at these loci also associate with multiple AD-related measures, regulate gene expression, have cell-type specific enrichment, and roles in brain health and other neuropsychiatric diseases. Pathway analysis identified significant enrichment of shared and distinct biological pathways. Conclusions: Although all biochemical measures tested reflect proteins core to AD pathology, our results strongly suggest that each have unique genetic architecture and biological pathways that influence their specific biochemical states in the brain. Our novel approach of deep brain biochemical endophenotype GWAS has implications for pathophysiology of proteostasis in AD that can guide therapeutic discovery efforts focused on these proteins.Item Genome-wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology(Wiley, 2020-08-05) Nho, Kwangsik; Nudelman, Kelly; Allen, Mariet; Hodges, Angela; Kim, Sungeun; Risacher, Shannon L.; Apostolova, Liana G.; Lin, Kuang; Lunnon, Katie; Wang, Xue; Burgess, Jeremy D.; Ertekin-Taner, Nilüfer; Petersen, Ronald C.; Wang, Lisu; Qi, Zhenhao; He, Aiqing; Neuhaus, Isaac; Patel, Vishal; Foroud, Tatiana; Faber, Kelley M.; Lovestone, Simon; Simmons, Andrew; Weiner, Michael W.; Saykin, Andrew J.; Radiology and Imaging Sciences, School of MedicineINTRODUCTION: Abnormal gene expression patterns may contribute to the onset and progression of late-onset Alzheimer’s disease (LOAD). METHODS: We performed transcriptome-wide meta-analysis (N=1,440) of blood-based microarray gene expression profiles as well as neuroimaging and CSF endophenotype analysis. RESULTS: We identified and replicated five genes (CREB5, CD46, TMBIM6, IRAK3, and RPAIN) as significantly dysregulated in LOAD. The most significantly altered gene, CREB5, was also associated with brain atrophy and increased amyloid-β accumulation, especially in the entorhinal cortex region. cis-eQTL mapping analysis of CREB5 detected five significant associations (p<5x10−8), where rs56388170 (most significant) was also significantly associated with global cortical amyloid-β (Aβ) deposition measured by [18F]Florbetapir PET and CSF Aβ1-42. DISCUSSION: RNA from peripheral blood indicated a differential gene expression pattern in LOAD. Genes identified have been implicated in biological processes relevant to AD. CREB, in particular, plays a key role in nervous system development, cell survival, plasticity and learning and memory.Item Gliovascular transcriptional perturbations in Alzheimer's disease reveal molecular mechanisms of blood brain barrier dysfunction(Springer Nature, 2024-06-20) İş, Özkan; Wang, Xue; Reddy, Joseph S.; Min, Yuhao; Yilmaz, Elanur; Bhattarai, Prabesh; Patel, Tulsi; Bergman, Jeremiah; Quicksall, Zachary; Heckman, Michael G.; Tutor-New, Frederick Q.; Demirdogen, Birsen Can; White, Launia; Koga, Shunsuke; Krause, Vincent; Inoue, Yasuteru; Kanekiyo, Takahisa; Cosacak, Mehmet Ilyas; Nelson, Nastasia; Lee, Annie J.; Vardarajan, Badri; Mayeux, Richard; Kouri, Naomi; Deniz, Kaancan; Carnwath, Troy; Oatman, Stephanie R.; Lewis-Tuffin, Laura J.; Nguyen, Thuy; Alzheimer’s Disease Neuroimaging Initiative; Carrasquillo, Minerva M.; Graff-Radford, Jonathan; Petersen, Ronald C.; Jack, Clifford R., Jr.; Kantarci, Kejal; Murray, Melissa E.; Nho, Kwangsik; Saykin, Andrew J.; Dickson, Dennis W.; Kizil, Caghan; Allen, Mariet; Ertekin-Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineTo uncover molecular changes underlying blood-brain-barrier dysfunction in Alzheimer’s disease, we performed single nucleus RNA sequencing in 24 Alzheimer’s disease and control brains and focused on vascular and astrocyte clusters as main cell types of blood-brain-barrier gliovascular-unit. The majority of the vascular transcriptional changes were in pericytes. Of the vascular molecular targets predicted to interact with astrocytic ligands, SMAD3, upregulated in Alzheimer’s disease pericytes, has the highest number of ligands including VEGFA, downregulated in Alzheimer’s disease astrocytes. We validated these findings with external datasets comprising 4,730 pericyte and 150,664 astrocyte nuclei. Blood SMAD3 levels are associated with Alzheimer’s disease-related neuroimaging outcomes. We determined inverse relationships between pericytic SMAD3 and astrocytic VEGFA in human iPSC and zebrafish models. Here, we detect vast transcriptome changes in Alzheimer’s disease at the gliovascular-unit, prioritize perturbed pericytic SMAD3-astrocytic VEGFA interactions, and validate these in cross-species models to provide a molecular mechanism of blood-brain-barrier disintegrity in Alzheimer’s disease.Item Inactivation of Sox9 in fibroblasts reduces cardiac fibrosis and inflammation(American Society for Clinical Investigation, 2019-07-16) Scharf, Gesine M.; Kilian, Katja; Cordero, Julio; Wang, Yong; Grund, Andrea; Hofmann, Melanie; Froese, Natali; Wang, Xue; Kispert, Andreas; Kist, Ralf; Conway, Simon J.; Geffers, Robert; Wollert, Kai C.; Dobreva, Gergana; Bauersachs, Johann; Heineke, Joerg; Pediatrics, School of MedicineFibrotic scarring drives the progression of heart failure after myocardial infarction (MI). Therefore, the development of specific treatment regimens to counteract fibrosis is of high clinical relevance. The transcription factor SOX9 functions as an important regulator during embryogenesis, but recent data point towards an additional causal role in organ fibrosis. We show here that SOX9 is upregulated in the scar after MI in mice. Fibroblast specific deletion of Sox9 ameliorated MI-induced left ventricular dysfunction, dilatation and myocardial scarring in vivo. Unexpectedly, deletion of Sox9 also potently eliminated persisting leukocyte infiltration of the scar in the chronic phase after MI. RNA-sequencing from the infarct scar revealed that Sox9 deletion in fibroblasts resulted in strongly downregulated expression of genes related to extracellular matrix, proteolysis and inflammation. Importantly, Sox9 deletion in isolated cardiac fibroblasts in vitro similarly affected gene expression as in the cardiac scar and reduced fibroblast proliferation, migration and contraction capacity. Together, our data demonstrate that fibroblast SOX9 functions as a master regulator of cardiac fibrosis and inflammation and might constitute a novel therapeutic target during MI.Item Parkinson‐like early autonomic dysfunction induced by vagal application of DOPAL in rats(Wiley, 2021) Sun, Jie; He, Chao; Yan, Qiu-Xin; Wang, Hong-Dan; Li, Ke-Xin; Sun, Xun; Feng, Yan; Zha, Rong-Rong; Cui, Chang-Peng; Xiong, Xue; Gao, Shan; Wang, Xue; Yin, Rui-Xue; Qiao, Guo-Fen; Li, Bai-Yan; Biomedical Engineering, School of Engineering and TechnologyAim: To understand why autonomic failures, a common non-motor symptom of Parkinson's disease (PD), occur earlier than typical motor disorders. Methods: Vagal application of DOPAL (3,4-dihydroxyphenylacetaldehyde) to simulate PD-like autonomic dysfunction and understand the connection between PD and cardiovascular dysfunction. Molecular and morphological approaches were employed to test the time-dependent alternation of α-synuclein aggregation and the ultrastructure changes in the heart and nodose (NG)/nucleus tractus solitarius (NTS). Results: Blood pressure (BP) and baroreflex sensitivity of DOPAL-treated rats were significantly reduced accompanied with a time-dependent change in orthostatic BP, consistent with altered echocardiography and cardiomyocyte mitochondrial ultrastructure. Notably, time-dependent and collaborated changes in Mon-/Tri-α-synuclein were paralleled with morphological alternation in the NG and NTS. Conclusion: These all demonstrate that early autonomic dysfunction mediated by vagal application of DOPAL highly suggests the plausible etiology of PD initiated from peripheral, rather than central site. It will provide a scientific basis for the prevention and early diagnosis of PD.Item Preserved transcriptional networks in immune signaling pathways associated with chronic disease identified in Alzheimer’s disease and Parkinson’s disease, cross‐tissue analysis(Wiley, 2025-01-03) Strickland, Samantha L.; Tsai, Wei; Chen, Xuan; Cherukuri, Yesesri; Allen, Mariet; Quicksall, Zachary; Wang, Xue; Kantarci, Kejal; Carrasquillo, Minerva M.; Nho, Kwangsik; Saykin, Andrew J.; Petersen, Ronald C.; Reddy, Joseph S.; Ertekin-Taner, Nilüfer; Radiology and Imaging Sciences, School of MedicineBackground: Systemic inflammation plays a pivotal role in many chronic diseases including Alzheimer’s disease (AD). Assessing the composition of immune pathways in neurodegenerative diseases can contribute to precision medicine. Using publicly available transcriptomic data, we sought to elucidate transcriptional networks pertinent to inflammatory pathways across brain regions and peripheral blood in AD/mild cognitive impairment (MCI) and peripheral blood in Parkinson’s disease (PD). Method: For the AD/MCI vs. control dataset, we analyzed bulk‐RNAseq collected from 6 brain regions of donors from ROSMAP, Mayo Clinic, and Mount Sinai School of Medicine (MSSM) brain banks available from the AMP‐AD consortium. Ante‐mortem, blood RNAseq expression data was retrieved from the AMP‐AD Emory Vascular cohort and Mayo Clinic Study of Aging (MCSA). We also collected blood‐derived microarray expression data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). For the PD vs Control dataset, blood‐derived bulk‐RNAseq from the PDBP and PPMI cohorts were available through the AMP‐PD consortium. Following quality control, normalization, and residual generation to account for biological and technical variables, co‐expression network modules and their enriched pathways were identified using WGCNA within each dataset. Module/trait correlation tests for aging and diagnosis (cases [AD/MCI or PD] vs control) phenotypes were evaluated. Gene Ontology enrichment analyses were executed to identify enriched pathways and brain or blood cell types within the modules. Modules were tested for preservation across cohorts. Result: We identified conserved immune signatures across brain regions and cohorts. Modules involved in immune response were preserved across all cohorts. Blood consensus modules involved in immune response were preserved in the brain and vice versa. Some immune modules were associated with AD/MCI, PD, and/or aging. Brain immune modules are significantly associated with aging and/or AD. Significant correlations (q<0.05) with PD diagnosis were present. In the MCSA and Emory vascular cohorts, there were no significant (q<0.05) associations between modules and diagnosis, while in ADNI there were nominal (p<0.05) associations. Conclusion: Preserved transcriptional immune networks were identified across blood and brain and across two neurodegenerative diseases. Expanding gene co‐expression network analyses to other diseases and integrating additional omics measures and phenotypes can further strengthen these findings to unravel the immune signatures across complex diseases.