Anwanwan D, Singh SK, Singh S, Saikam V, Singh R (2020) Challenges in liver cancer and possible treatment approaches. Biochimica et Biophysica Acta (BBA) - Rev Cancer 1873(1):188314. https://doi.org/10.1016/j.bbcan.2019.188314
Gravitz L (2014) Liver cancer. Nature 516(7529):S1–S1. https://doi.org/10.1038/516S1a
Article CAS PubMed Google Scholar
Dubois B et al (2014) Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol 13(6):614–629. https://doi.org/10.1016/S1474-4422(14)70090-0
Li C, Götz EJ (2017) Tau-based therapies in neurodegeneration: opportunities and challenges. Nat Rev Drug Discov 16(12):863–883. https://doi.org/10.1038/nrd.2017.155
Article CAS PubMed Google Scholar
Chételat G (2018) Multimodal neuroimaging in Alzheimer’s disease: early diagnosis, physiopathological mechanisms, and impact of lifestyle. J Alzheimer’s Dis 64(s1):S199–S211. https://doi.org/10.3233/JAD-179920
Sun B-L et al (2018) Clinical research on Alzheimer’s disease: progress and perspectives. Neurosci Bull 34(6):1111–1118. https://doi.org/10.1007/s12264-018-0249-z
Article CAS PubMed PubMed Central Google Scholar
Sun X, Shukla M, Wang W, Li S (2024) Unlocking gut-liver-brain axis communication metabolites: energy metabolism, immunity and barriers. NPJ Biofilms Microbiomes 10(1):136. https://doi.org/10.1038/s41522-024-00610-9
Article PubMed PubMed Central Google Scholar
Yang Y, Kim S, Seki E (2019) Inflammation and liver cancer: molecular mechanisms and therapeutic targets. Semin Liver Dis 39(01):026–042. https://doi.org/10.1055/s-0038-1676806
Liu XL et al (2024) Past, present, and future of liver-brain axis in Alzheimer’s disease: a bibliometric review. J Alzheimer’s Dis 101(4):1267–1280. https://doi.org/10.3233/JAD-240688
Butterworth RF (2011) Hepatic encephalopathy: a central neuroinflammatory disorder? Hepatology 53(4):1372–1376. https://doi.org/10.1002/hep.24228
Fujikawa R, Tsuda M (2023) The functions and phenotypes of microglia in Alzheimer’s disease. Cells 12(8):1207. https://doi.org/10.3390/cells12081207
Article CAS PubMed PubMed Central Google Scholar
Wang C et al (2023) The effects of microglia-associated neuroinflammation on Alzheimer’s disease. Front Immunol. https://doi.org/10.3389/fimmu.2023.1117172
Article PubMed PubMed Central Google Scholar
Yang X, Qiu K, Jiang Y, Huang Y, Zhang Y, Liao Y (2024) Metabolic crosstalk between liver and brain: from diseases to mechanisms. Int J Mol Sci 25(14):7621. https://doi.org/10.3390/ijms25147621
Article CAS PubMed PubMed Central Google Scholar
Paouri E, Georgopoulos S (2019) Systemic and CNS inflammation crosstalk: implications for Alzheimer’s disease. Curr Alzheimer Res 16(6):559–574. https://doi.org/10.2174/1567205016666190321154618
Article CAS PubMed Google Scholar
Wei X, Zhang L, Zeng Y (2020) DNA methylation in Alzheimer’s disease: in brain and peripheral blood. Mech Ageing Dev 191:111319. https://doi.org/10.1016/j.mad.2020.111319
Article CAS PubMed Google Scholar
Larsson SC, Butterworth AS, Burgess S (2023) Mendelian randomization for cardiovascular diseases: principles and applications. Eur Heart J 44(47):4913–4924. https://doi.org/10.1093/eurheartj/ehad736
Article PubMed PubMed Central Google Scholar
Pang W-W et al (2024) Mendelian randomization and transcriptome analysis identified immune-related biomarkers for osteoarthritis. Front Immunol. https://doi.org/10.3389/fimmu.2024.1334479
Article PubMed PubMed Central Google Scholar
Davis AP et al (2021) Comparative toxicogenomics database (CTD): update 2021. Nucleic Acids Res 49(D1):D1138–D1143. https://doi.org/10.1093/nar/gkaa891
Article CAS PubMed Google Scholar
Safran M et al (2010) (2010) “GeneCards Version 3: the human gene integrator.” Database 2010:baq020–baq020. https://doi.org/10.1093/database/baq020
Article PubMed PubMed Central Google Scholar
Langfelder P, Horvath S (2008) WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics 9(1):559. https://doi.org/10.1186/1471-2105-9-559
Article CAS PubMed PubMed Central Google Scholar
Barrett T et al (2012) Ncbi geo: archive for functional genomics data sets—update. Nucleic Acids Res 41(D1):D991–D995. https://doi.org/10.1093/nar/gks1193
Article CAS PubMed PubMed Central Google Scholar
Zhou Y et al (2019) Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 10(1):1523. https://doi.org/10.1038/s41467-019-09234-6
Article CAS PubMed PubMed Central Google Scholar
Chou C-H et al (2018) miRTarBase update 2018: a resource for experimentally validated microRNA-target interactions. Nucleic Acids Res 46(D1):D296–D302. https://doi.org/10.1093/nar/gkx1067
Article CAS PubMed Google Scholar
Davies NM, Holmes MV, Davey Smith EG (2018) “Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians”. BMJ, k601. https://doi.org/10.1136/bmj.k601
Calsolaro V, Edison P (2016) Neuroinflammation in Alzheimer’s disease: current evidence and future directions. Alzheimer’s Dementia 12(6):719–732. https://doi.org/10.1016/j.jalz.2016.02.010
Schmidt-Arras D, Rose-John S (2016) IL-6 pathway in the liver: from physiopathology to therapy. J Hepatol 64(6):1403–1415. https://doi.org/10.1016/j.jhep.2016.02.004
Article CAS PubMed Google Scholar
Dhapola R, Hota SS, Sarma P, Bhattacharyya A, Medhi B, Reddy DH (2021) Recent advances in molecular pathways and therapeutic implications targeting neuroinflammation for Alzheimer’s disease. Inflammopharmacology 29(6):1669–1681. https://doi.org/10.1007/s10787-021-00889-6
Article CAS PubMed PubMed Central Google Scholar
Swardfager W, Lanctôt K, Rothenburg L, Wong A, Cappell J, Herrmann N (2010) A meta-analysis of cytokines in Alzheimer’s disease. Biol Psychiatry 68(10):930–941. https://doi.org/10.1016/j.biopsych.2010.06.012
Article CAS PubMed Google Scholar
Colotta F, Allavena P, Sica A, Garlanda C, Mantovani A (2009) Cancer-related inflammation, the seventh hallmark of cancer: links to genetic instability. Carcinogenesis 30(7):1073–1081. https://doi.org/10.1093/carcin/bgp127
Article CAS PubMed Google Scholar
Zhang C et al (2023) A novel NFAT1-IL6/JAK/STAT3 signaling pathway related nomogram predicts overall survival in gliomas. Sci Rep 13(1):11401. https://doi.org/10.1038/s41598-023-38629-1
Comments (0)