Journal of Shandong University (Health Sciences) ›› 2026, Vol. 64 ›› Issue (9): 26-35.doi: 10.6040/j.issn.1671-7554.0.2025.1202
• Clinical Medicine • Previous Articles
PENG Qiang1,2, ZHANG Xueqin2, WEN Jun1,2, WANG Kai2, ZHANG Xiaojuan2, LIU Shiping3
CLC Number:
| [1] Gauthier, Webster C, Servaes S, et al. World Alzheimer Report 2022: life after diagnosis: navigating treatment, care and support[R]. London, England: Alzheimers Disease International, 2022 [2025-10-20]. https://www.alzint.org/resource/world-alzheimer-report-2022/ [2] Wilson R S, Segawa E, Boyle P A, et al. The natural history of cognitive decline in Alzheimers disease[J]. Psychol Aging, 2012, 27(4): 1008-1017. [3] Marucci G, Buccioni M, Ben D D, et al. Efficacy of acetylcholinesterase inhibitors in Alzheimers disease[J]. Neuropharmacology, 2021, 190: 108352. DOI:10.1016/j.neuropharm.2020.108352 [4] Rani S, Dhar S B, Khajuria A, et al. Advanced overview of biomarkers and techniques for early diagnosis of Alzheimers disease[J]. Cell Mol Neurobiol, 2023, 43(6): 2491-2523. [5] Yuan Y, Zhao G, Zhao Y. Dysregulation of energy metabolism in Alzheimers disease[J]. J Neurol, 2024, 272(1): 2. DOI:10.1007/s00415-024-12800-8 [6] Han R R, Liang J, Zhou B. Glucose metabolic dysfunction in neurodegenerative diseases: new mechanistic insights and the potential of hypoxia as a prospective therapy targeting metabolic reprogramming[J]. Int J Mol Sci, 2021, 22(11): 5887. DOI:10.3390/ijms22115887 [7] Butterfield D A, Halliwell B. Oxidative stress, dysfunctional glucose metabolism and Alzheimer disease[J]. Nat Rev Neurosci, 2019, 20(3): 148-160. [8] Li H M, Qiu C S, Du L Y, et al. Causal association between circulating metabolites and dementia: a Mendelian randomization study[J]. Nutrients, 2024, 16(17): 2879. DOI:10.3390/nu16172879 [9] Cao D, Zhang Y N, Zhang S B, et al. Risk of Alzheimers disease and genetically predicted levels of 1,400 plasma metabolites: a Mendelian randomization study[J]. Sci Rep, 2024, 14: 26078. DOI:10.1038/s41598-024-77921-6 [10] Kurbatova N, Garg M, Whiley L, et al. Urinary metabolic phenotyping for Alzheimers disease[J]. Sci Rep, 2020, 10: 21745. DOI:10.1038/s41598-020-78031-9 [11] Wang Y Y, Sun Y, Wang Y, et al. Urine metabolomics phenotyping and urinary biomarker exploratory in mild cognitive impairment and Alzheimers disease[J]. Front Aging Neurosci, 2023, 15: 1273807. DOI:10.3389/fnagi.2023.1273807 [12] Bellenguez C, Küçükali F, Jansen I E, et al. New insights into the genetic etiology of Alzheimers disease and related dementias[J]. Nat Genet, 2022, 54(4): 412-436. [13] Schwartzentruber J, Cooper S, Liu J Z, et al. Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimers disease risk genes[J]. Nat Genet, 2021, 53(3): 392-402. [14] Chen Y H, Lu T Y, Pettersson-Kymmer U, et al. Genomic atlas of the plasma metabolome prioritizes metabolites implicated in human diseases[J]. Nat Genet, 2023, 55(1): 44-53. [15] Schlosser P, Li Y, Sekula P, et al. Genetic studies of urinary metabolites illuminate mechanisms of detoxification and excretion in humans[J]. Nat Genet, 2020, 52(2): 167-176. [16] Burgess S, Thompson S G. Avoiding bias from weak instruments in Mendelian randomization studies[J]. Int J Epidemiol, 2011, 40(3): 755-764. [17] Bowden J, Smith G D, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression[J]. Int J Epidemiol, 2015, 44(2): 512-525. [18] Sun J, Zhao J H, Zhou S Y, et al. Systematic investigation of genetically determined plasma and urinary metabolites to discover potential interventional targets for colorectal cancer[J]. JNCI J Natl Cancer Inst, 2024, 116(8): 1303-1312. [19] Zhang X X, Tian Y, Wang Z T, et al. The epidemio-logy of Alzheimers disease modifiable risk factors and prevention[J]. J Prev Alzheimers Dis, 2021, 8(3): 313-321. [20] Hersi M, Irvine B, Gupta P, et al. Risk factors associated with the onset and progression of Alzheimers disease: a systematic review of the evidence[J]. NeuroToxicology, 2017, 61: 143-187. DOI:10.1016/j.neuro.2017.03.006 [21] Liu Y L, Xiao X W, Yang Y, et al. The risk of Alzheimers disease and cognitive impairment characteristics in eight mental disorders: a UK Biobank observational study and Mendelian randomization analysis[J]. Alzheimers Dement, 2024, 20(7): 4841-4853. [22] Xue F, Gao L Y, Chen T T, et al. Parkinsons disease rs117896735 variant Regulates INPP5F expression in brain tissues and increases risk of Alzheimers disease[J]. J Alzheimers Dis, 2022, 89(1): 67-77. [23] Huang H, Fang C M, Niu H X, et al. Effects of donepezil treatment on plasma and urine metabolites in amyloid beta-induced Alzheimers disease rats[J]. J Chromatogr B, 2023, 1224: 123766. DOI:10.1016/j.jchromb.2023.123766 [24] Yang J Z, Wu S, Yang J, et al. Amyloid beta-correlated plasma metabolite dysregulation in Alzheimers disease: an untargeted metabolism exploration using high-resolution mass spectrometry toward future clinical diagnosis[J]. Front Aging Neurosci, 2023, 15: 1189659. DOI:10.3389/fnagi.2023.1189659 [25] Zhang S, Lachance B B, Mattson M P, et al. Glucose metabolic crosstalk and regulation in brain function and diseases[J]. Prog Neurobiol, 2021, 204: 102089. DOI:10.1016/j.pneurobio.2021.102089 [26] Minhas P S, Jones J R, Latif-Hernandez A, et al. Restoring hippocampal glucose metabolism rescues cognition across Alzheimers disease pathologies[J]. Science, 2024, 385(6711): eabm6131. DOI:10.1126/science.abm6131 [27] Castro M B, Ferreira B K, Cararo J H, et al. Evidence of oxidative stress in brain and liver of young rats submitted to experimental galactosemia[J]. Metab Brain Dis, 2016, 31(6): 1381-1390. [28] Wachsmuth H R, Weninger S N, Duca F A. Role of the gut-brain axis in energy and glucose metabolism[J]. Exp Mol Med, 2022, 54(4): 377-392. [29] López-Gambero A J, Martínez F, Salazar K, et al. Brain glucose-sensing mechanism and energy homeostasis[J]. Mol Neurobiol, 2019, 56(2): 769-796. [30] Escribano BM, Muñoz-Jurado A, Luque E, et al. Lactose and casein cause changes on biomarkers of oxidative damage and dysbiosis in an experimental model of multiple sclerosis[J]. CNS Neurol Disord Drug Targets, 2022, 21(8): 680-692. [31] Megur A, Baltriukien(·overe)D, Bukelskien(·overe)V, et al. The microbiota-gut-brain axis and Alzheimers disease: neuroinflammation is to blame?[J]. Nutrients, 2021, 13(1): 37. DOI:10.3390/nu13010037 [32] Vitku J, Hill M, Kolatorova L, et al. Steroid sulfation in neurodegenerative diseases[J]. Front Mol Biosci, 2022, 9: 839887. DOI:10.3389/fmolb.2022.839887 [33] Strac DS, Konjevod M, Perkovic MN, et al. Dehydroepiandrosterone(DHEA)and its sulphate(DHEAS)in Alzheimers disease[J]. Curr Alzheimer Res, 2020, 17(2): 141-157. [34] Upadhyayula PS, Higgins DM, Mela A, et al. Dietary restriction of cysteine and methionine sensitizes gliomas to ferroptosis and induces alterations in energetic metabolism[J]. Nat Commun, 2023, 14: 1187. DOI:10.1038/s41467-023-36630-w [35] Paul B D, Sbodio J I, Snyder S H. Cysteine metabolism in neuronal redox homeostasis[J]. Trends Pharmacol Sci, 2018, 39(5): 513-524. [36] Prudova A, Bauman Z, Braun A, et al. S-adenosylmethionine stabilizes cystathionine β-synthase and modulates redox capacity[J]. Proc Natl Acad Sci U S A, 2006, 103(17): 6489-6494. [37] Yang H B, Luo K, Peters B A, et al. Diet, gut micro-biota, and histidine metabolism toward imidazole propionate production in relation to type 2 diabetes[J]. Diabetes Care, 2025, 48(7): 1225-1232. [38] Li D, Zhou L H, Cao Z, et al. Associations of environmental factors with neurodegeneration: an exposome-wide Mendelian randomization investigation[J]. Ageing Res Rev, 2024, 95: 102254. DOI:10.1016/j.arr.2024.102254 [39] Kusters C D J, Paul K C, Romero T, et al. Among men, androgens are associated with a decrease in Alzheimers disease risk[J]. Alzheimers Dement, 2023, 19(9): 3826-3834. [40] Souza-Teodoro L H, Davies N M, Warren H R, et al. DHEA and response to antidepressant treatment: a Mendelian randomization analysis[J]. J Psychiatr Res, 2024, 173: 151-156. [41] Wang R C, Hatano T, Hattori N, et al. Interplay of GBA1 with lysosomal dysfunction and inflammation in Parkinsons disease[J]. Neural Regen Res, 2025. DOI:10.4103/nrr.nrr-d-25-01082 [42] Qin B Q, Fu Y, Raulin A C, et al. Lipid metabolism in health and disease: mechanistic and therapeutic insights for Parkinsons disease[J]. Chin Med J, 2025, 138(12): 1411-1423. |
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