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Mayeux R, Stern Y. Epidemiology of Alzheimer disease. Cold Spring Harb Perspect Med. 2012;2(8):a006239
PubMed
PMC
Gurwitz D. Auguste D and Alzheimer's disease. Lancet. 1997;350(9073):298.
PubMed
Wang WY, et al. Role of pro-inflammatory cytokines released from microglia in Alzheimer's disease. Ann Transl Med. 2015;3(10):136.
PubMed
PMC
Medeiros R, LaFerla FM. Astrocytes: conductors of the Alzheimer disease neuroinflammatory symphony. Exp Neurol. 2013;239:133–138.
PubMed
El Khoury JB, et al. CD36 mediates the innate host response to beta-amyloid. J Exp Med. 2003;197(12):1657–1666.
PubMed
PMC
Steardo L, Jr, et al. Does neuroinflammation turn on the flame in Alzheimer's disease? Focus on astrocytes. Front Neurosci. 2015;9:259.
PubMed
PMC
Heppner FL, Ransohoff RM, Becher B. Immune attack: the role of inflammation in Alzheimer disease. Nat Rev Neurosci. 2015;16(6):358–372.
PubMed
Chen Y, et al. Interplay between microglia and Alzheimer's disease-focus on the most relevant risks: APOE genotype, sex and age. Front Aging Neurosci. 2021;13:631827.
PubMed
PMC
Schain M, Kreisl WC. Neuroinflammation in neurodegenerative disorders-a review. Curr Neurol Neurosci Rep. 2017;17(3):25.
PubMed
Solito E, Sastre M. Microglia function in Alzheimer's disease. Front Pharmacol. 2012;3:14.
PubMed
PMC
Kanegawa N, et al. In vivo evidence of a functional association between immune cells in blood and brain in healthy human subjects. Brain Behav Immun. 2016;54:149–157.
PubMed
Colombo E, Farina C. Astrocytes: key regulators of neuroinflammation. Trends Immunol. 2016;37(9):608–620.
PubMed
Abbott NJ. Astrocyte-endothelial interactions and blood-brain barrier permeability. J Anat. 2002;200(6):629–638.
PubMed
PMC
Nagele RG, et al. Astrocytes accumulate A beta 42 and give rise to astrocytic amyloid plaques in Alzheimer disease brains. Brain Res. 2003;971(2):197–209.
PubMed
Henrissat B, Davies G. Structural and sequence-based classification of glycoside hydrolases. Curr Opin Struct Biol. 1997;7(5):637–644.
PubMed
Eide KB, et al. The role of active site aromatic residues in substrate degradation by the human chitotriosidase. Biochim Biophys Acta. 2016;1864(2):242–247.
PubMed
Bonneh-Barkay D, et al. Astrocyte and macrophage regulation of YKL-40 expression and cellular response in neuroinflammation. Brain Pathol. 2012;22(4):530–546.
PubMed
PMC
Di Rosa M, et al. Chitotriosidase and inflammatory mediator levels in Alzheimer's disease and cerebrovascular dementia. Eur J Neurosci. 2006;23(10):2648–2656.
PubMed
Harris VK, Sadiq SA. Biomarkers of therapeutic response in multiple sclerosis: current status. Mol Diagn Ther. 2014;18(6):605–617.
PubMed
PMC
Varghese AM, et al. Chitotriosidase - a putative biomarker for sporadic amyotrophic lateral sclerosis. Clin Proteomics. 2013;10(1):19.
PubMed
PMC
Teitsdottir UD, et al. Cerebrospinal fluid C18 ceramide associates with markers of Alzheimer's disease and inflammation at the pre- and early stages of dementia. J Alzheimers Dis. 2021;81(1):231–244.
PubMed
PMC
Carter SF, et al. Astrocyte biomarkers in Alzheimer’s disease. Trends Mol Med. 2019;25(2):77–95.
PubMed
Sanfilippo C, et al. Sex difference in CHI3L1 expression levels in human brain aging and in Alzheimer's disease. Brain Res. 2019;1720:146305.
PubMed
Sanfilippo C, Malaguarnera L, Di Rosa M. Chitinase expression in Alzheimer's disease and non-demented brains regions. J Neurol Sci. 2016;369:242–249.
PubMed
Sanfilippo C, et al. CHI3L2 Expression levels are correlated with AIF1, PECAM1, and CALB1 in the brains of Alzheimer’s disease patients. J Mol Neurosci. 2020;70(10):1598–1610.
PubMed
Rehli M, et al. Transcriptional regulation of CHI3L1, a marker gene for late stages of macrophage differentiation. J Biol Chem. 2003;278(45):44058–44067.
PubMed
Alcolea D, et al. Relationship between cortical thickness and cerebrospinal fluid YKL-40 in predementia stages of Alzheimer's disease. Neurobiol Aging. 2015;36(6):2018–2023.
PubMed
Alcolea D, et al. Relationship between beta-secretase, inflammation and core cerebrospinal fluid biomarkers for Alzheimer's disease. J Alzheimers Dis. 2014;42(1):157–167.
PubMed
Antonell A, et al. Cerebrospinal fluid level of YKL-40 protein in preclinical and prodromal Alzheimer's disease. J Alzheimers Dis. 2014;42(3):901–908.
PubMed
Craig-Schapiro R, et al. YKL-40: a novel prognostic fluid biomarker for preclinical Alzheimer's disease. Biol Psychiatry. 2010;68(10):903–912.
PubMed
PMC
Melah KE, et al. Cerebrospinal fluid markers of Alzheimer's disease pathology and microglial activation are associated with altered white matter microstructure in asymptomatic adults at risk for Alzheimer's disease. J Alzheimers Dis. 2016;50(3):873–886.
PubMed
PMC
Querol-Vilaseca M, et al. YKL-40 (Chitinase 3-like I) is expressed in a subset of astrocytes in Alzheimer's disease and other tauopathies. J Neuroinflammation. 2017;14(1):118.
PubMed
PMC
Di Rosa M, et al. Evaluation of CHI3L-1 and CHIT-1 expression in differentiated and polarized macrophages. Inflammation. 2013;36(2):482–492.
PubMed
Di Rosa M, et al. CHI3L1 nuclear localization in monocyte derived dendritic cells. Immunobiology. 2016;221(2):347–356.
PubMed
Di Rosa M, et al. Determination of chitinases family during osteoclastogenesis. Bone. 2014;61:55–63.
PubMed
Qiu QC, et al. CHI3L1 promotes tumor progression by activating TGF-beta signaling pathway in hepatocellular carcinoma. Sci Rep. 2018;8(1):15029.
PubMed
PMC
Litviakov N, et al. Expression of M2 macrophage markers YKL-39 and CCL18 in breast cancer is associated with the effect of neoadjuvant chemotherapy. Cancer Chemother Pharmacol. 2018;82(1):99–109.
PubMed
Di Rosa M, et al. Prolactin induces chitotriosidase expression in human macrophages through PTK, PI3-K, and MAPK pathways. J Cell Biochem. 2009;107(5):881–889.
PubMed
Sanfilippo C, et al. The chitinases expression is related to Simian Immunodeficiency Virus Encephalitis (SIVE) and in HIV encephalitis (HIVE) Virus Res. 2017;227:220–230.
PubMed
Sanfilippo C, et al. CHI3L1 and CHI3L2 overexpression in motor cortex and spinal cord of sALS patients. Mol Cell Neurosci. 2017;85:162–169.
PubMed
Wurm J, et al. Astrogliosis releases pro-oncogenic chitinase 3-like 1 causing MAPK signaling in glioblastoma. Cancers (Basel). 2019;11(10):1437.
PubMed
PMC
Mollgaard M, et al. Cerebrospinal fluid chitinase-3-like 2 and chitotriosidase are potential prognostic biomarkers in early multiple sclerosis. Eur J Neurol. 2016;23(5):898–905.
PubMed
Malaguarnera L, et al. Action of prolactin, IFN-gamma, TNF-alpha and LPS on heme oxygenase-1 expression and VEGF release in human monocytes/macrophages. Int Immunopharmacol. 2005;5(9):1458–1469.
PubMed
Castrogiovanni P, et al. Fasting and fast food diet play an opposite role in mice brain aging. Mol Neurobiol. 2018;55(8):6881–6893.
PubMed
Sanfilippo C, et al. Middle-aged healthy women and Alzheimer's disease patients present an overlapping of brain cell transcriptional profile. Neuroscience. 2019;406:333–344.
PubMed
Xiao J, Cao H, Chen J. False discovery rate control incorporating phylogenetic tree increases detection power in microbiome-wide multiple testing. Bioinformatics. 2017;33(18):2873–2881.
PubMed
Smyth GK. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004;3:Article3.
PubMed
Davis S, Meltzer PS. GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor. Bioinformatics. 2007;23(14):1846–7.
PubMed
Zuberi K, et al. GeneMANIA prediction server 2013 update. Nucleic Acids Res. 2013; 41(Web Server issue): W115-22.
PubMed
PMC
Szklarczyk D, et al. STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47(D1):D607–D613.
PubMed
PMC
Chang JT, Nevins JR. GATHER: a systems approach to interpreting genomic signatures. Bioinformatics. 2006;22(23):2926–2933.
PubMed
Wang M, et al. Integrative network analysis of nineteen brain regions identifies molecular signatures and networks underlying selective regional vulnerability to Alzheimer’s disease. Genome Med. 2016;8(1):104.
PubMed
PMC
Guijarro-Munoz I, et al. Lipopolysaccharide activates Toll-like receptor 4 (TLR4)-mediated NF-kappaB signaling pathway and proinflammatory response in human pericytes. J Biol Chem. 2014;289(4):2457–2468.
PubMed
PMC
Abbas AR, et al. Immune response in silico (IRIS): immune-specific genes identified from a compendium of microarray expression data. Genes Immun. 2005;6(4):319–331.
PubMed
Castrogiovanni P, et al. Chitinase domain containing 1 increase is associated with low survival rate and M0 macrophages infiltrates in colorectal cancer patients. Pathol Res Pract. 2022;237:154038.
PubMed
Rodwell GE, et al. A transcriptional profile of aging in the human kidney. PLoS Biol. 2004;2(12):e427.
PubMed
PMC
Sanfilippo C, et al. Hippocampal transcriptome deconvolution reveals differences in cell architecture of not demented elderly subjects underwent late-life physical activity. J Chem Neuroanat. 2021;113:101934.
PubMed
Box GEP, Tiao GC. Bayesian Inference in Statistical Analysis. Addison-Wesley. 1992;1(1):603.
Cheadle C, et al. Analysis of microarray data using Z score transformation. J Mol Diagnostics JMD. 2003;5(2):73–81.
PubMed
PMC
Care MA, et al. A microarray platform-independent classification tool for cell of origin class allows comparative analysis of gene expression in diffuse large B-cell lymphoma. PLoS One. 2013;8(2):e55895.
PubMed
PMC
Wang J, et al. Differences in gene expression between B-cell chronic lymphocytic leukemia and normal B cells: a meta-analysis of three microarray studies. Bioinformatics. 2004;20(17):3166–3178.
PubMed
Reddy TB, et al. TB database: an integrated platform for tuberculosis research. Nucleic Acids Res. 2009;37(Database issue):D499–D508.
PubMed
PMC
Le Cao KA, et al. YuGene: a simple approach to scale gene expression data derived from different platforms for integrated analyses. Genomics. 2014;103(4):239–251.
PubMed
Chen QR, et al. An integrated cross-platform prognosis study on neuroblastoma patients. Genomics. 2008;92(4):195–203.
PubMed
PMC
Yasrebi H, et al. Can survival prediction be improved by merging gene expression data sets? PLoS One. 2009;4(10):e7431.
PubMed
PMC
Mehmood R, et al. Clustering by fast search and merge of local density peaks for gene expression microarray data. Sci Rep. 2017;7:45602.
PubMed
PMC
Cheadle C, et al. Application of z-score transformation to Affymetrix data. Appl Bioinforma. 2003;2(4):209–217.
PubMed
Feng C, et al. Expression of Bcl-2 is a favorable prognostic biomarker in lung squamous cell carcinoma. Oncol Lett. 2018;15(5):6925–6930.
PubMed
PMC
Kang C, et al. Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine. J Theor Biol. 2019;463:77–91.
PubMed
Zetterberg H, et al. Neurofilaments in blood is a new promising preclinical biomarker for the screening of natural scrapie in sheep. PLoS One. 2019;14(12):e0226697.
PubMed
PMC
Zhang Z, et al. The appropriate marker for astrocytes: comparing the distribution and expression of three astrocytic markers in different mouse cerebral regions. Biomed Res Int. 2019;2019:9605265.
PubMed
PMC
Satoh J, et al. TMEM119 marks a subset of microglia in the human brain. Neuropathology. 2016;36(1):39–49.
PubMed
Kenkhuis B, et al. Co-expression patterns of microglia markers Iba1, TMEM119 and P2RY12 in Alzheimer's disease. Neurobiol Dis. 2022;167:105684.
PubMed
Castrogiovanni P, et al. Brain CHID1 Expression Correlates with NRGN and CALB1 in Healthy Subjects and AD Patients. Cells. 2021;10(4):882.
PubMed
PMC
Sanfilippo C, et al. Postsynaptic damage and microglial activation in AD patients could be linked CXCR4/CXCL12 expression levels. Brain Res. 2020;1749:147127.
PubMed
Motta M, et al. Altered plasma cytokine levels in Alzheimer's disease: correlation with the disease progression. Immunol Lett. 2007;114(1):46–51.
PubMed
Malaguarnera L, et al. Interleukin-18 and transforming growth factor-beta 1 plasma levels in Alzheimer's disease and vascular dementia. Neuropathology. 2006;26(4):307–312.
PubMed
Catrogiovanni P, et al. The expression levels of CHI3L1 and IL15Ralpha correlate with TGM2 in duodenum biopsies of patients with celiac disease. Inflamm Res. 2020;69(9):925–935.
PubMed
Sanfilippo C, et al. OAS Gene family expression is associated with HIV-related neurocognitive disorders. Mol Neurobiol. 2018;55(3):1905–1914.
PubMed
Di Rosa M, et al. Immunoproteasome genes are modulated in CD34(+) JAK2(V617F) mutated cells from primary myelofibrosis patients. Int J Mol Sci. 2020;21(8):2926.
PubMed
PMC
Di Rosa M, et al. Different pediatric brain tumors are associated with different gene expression profiling. Acta Histochem. 2015;117(4-5):477–485.
PubMed
Lomiguen C, et al. Possible role of chitin-like proteins in the etiology of Alzheimer's disease. J Alzheimers Dis. 2018;66(2):439–444.
PubMed
Hong S, et al. TMEM106B and CPOX are genetic determinants of cerebrospinal fluid Alzheimer's disease biomarker levels. Alzheimers Dement. 2021;17(10):1628–1640.
PubMed
Lananna BV, et al. Chi3l1/YKL-40 is controlled by the astrocyte circadian clock and regulates neuroinflammation and Alzheimer's disease pathogenesis. Sci Transl Med. 2020;12(574):eaax3519.
PubMed
PMC
Hinsinger G, et al. Chitinase 3-like proteins as diagnostic and prognostic biomarkers of multiple sclerosis. Mult Scler. 2015;21(10):1251–1261.
PubMed
Connolly K, et al. Potential role of chitinase-3-like protein 1 (CHI3L1/YKL-40) in neurodegeneration and Alzheimer’s disease. Alzheimers Dement. 2022;10.1002/alz.12612.
PubMed
PMC
Clarke LE, et al. Normal aging induces A1-like astrocyte reactivity. Proc Natl Acad Sci U S A. 2018;115(8):E1896–E1905.
PubMed
PMC
Moreno-Rodriguez M, et al. Frontal cortex chitinase and pentraxin neuroinflammatory alterations during the progression of Alzheimer’s disease. J Neuroinflammation. 2020;17(1):58.
PubMed
PMC
Matute-Blanch C, et al. Chitinase 3-like 1 is neurotoxic in primary cultured neurons. Sci Rep. 2020;10(1):7118.
PubMed
PMC
Liddelow SA, Barres BA. Reactive astrocytes: production, function, and therapeutic potential. Immunity. 2017;46(6):957–967.
PubMed