IJCCR_2026v16n1

International Journal of Clinical Case Reports, 2026, Vol.16, No.1, 42-52 http://medscipublisher.com/index.php/ijccr 51 Huang J., Zhang C., Huang C., Deng K., Xiao Y., Gao W., Wu M., and Lei M., 2025, Mitochondria metabolism regulates glucose–lipid homeostasis in neurodegenerative diseases, Research, 8: 0912. https://doi.org/10.34133/research.0912 Khudari R.A, Baqla S., and Asmar D.A, 2025, Diagnostic impact of whole exome sequencing in neurometabolic disorders in Syrian children: a single center experience, Orphanet Journal of Rare Diseases, 20(1): 220. https://doi.org/10.1186/s13023-025-03732-1 Kraus F., He Y., Swarup S., Overmyer K.A., Jiang Y., Brenner J., Capitanio C., Bieber A., Jen A., Nightingale N., Anderson B., Lee C., Paulo J., Smith I., Plitzko J., Gygi S., Schulman B., Wilfling F., Coon J., and Harper J., 2025, Global cellular proteo-lipidomic profiling of diverse lysosomal storage disease mutants using nMOST, Science Advances, 11(4): eadu5787. https://doi.org/10.1126/sciadv.adu5787 Liu J.S., Yang P.B., Wang Z., Ke Y., Wang K.X., Ainivar K., Chu K., and Yang X.L., 2025, Metabolic network remodeling and AI-driven precision diagnostics in geriatric Parkinson's disease: advances in multimodal imaging, Archives of Gerontology and Geriatrics, 138: 105983. https://doi.org/10.1016/j.archger.2025.105983 Makridou A., Sintou E., Chatzianagnosti S., Dermitzakis I., Gargani S., Manthou M., and Theotokis P., 2025, Mapping disorders with neurological features through mitochondrial impairment pathways: insights from genetic evidence, Current Issues in Molecular Biology, 47(7): 504. https://doi.org/10.3390/cimb47070504 May D., Barshir R., Shahar M., Rose A., and Shmueli D., 2025, Genetic testing of neurodevelopmental disorders in israel, JAMA Network Open 8(8): e2527464. https://doi.org/10.1001/jamanetworkopen.2025.27464 Mayoral I.H., Cecilia A.H., Rodríguez-Jiménez C., Álvarez A.C., Martínez A.B., David J.D.A., Guerrero J.D.A., López A.M., and Rodríguez-Nóvoa S., 2025, Clinical biochemical and molecular characterization of newborns with fatty acid beta-oxidation disorders: new variants in the ACADM, ACADVL and SLC22A5 genes, Clinical Genetics, 20: 2025-03. https://doi.org/10.1111/cge.70083 Mohammed E., Ammar T., and Al-Ettribi G., 2025, High-throughout techniques assessing the molecular diagnosis for neurometabolic disorders: a comprehensive review, Egyptian Journal of Medical Microbiology, 34(4): 609-615. https://doi.org/10.21608/ejmm.2025.434267.1980 Pokotylo M., Brüggemann N., and Prasuhn J., 2025, Metabolic dysregulation in Parkinson’s disease: non-oxidative phosphorylation and its role in brain energy metabolism, Aging and Disease, 16(5): 2721-2738. https://doi.org/10.14336/ad.2025.0619 Șerban M., Toader C., and Covache-Busuioc R., 2025, Precision neuro-oncology in glioblastoma: AI-guided crispr editing and real-time multi-omics for genomic brain surgery, International Journal of Molecular Sciences, 26(15): 7364. https://doi.org/10.3390/ijms26157364 Smusz J., Mojsak P., Matys P., Mirończuk A., Tarasiuk J., Grubczak K., Starosz A., Kochanowicz J., Kułakowska A., Ruszczyńska K., and Kapica-Topczewska K., 2025, Metabolomics in multiple sclerosis: advances challenges and clinical perspectives-a systematic review, International Journal of Molecular Sciences, 26(18): 9207. https://doi.org/10.3390/ijms26189207 Srinivasan S.R., Mook A.D., Rochman M., Chen J.Y.H., Mu W., Wilmot G.R., Rosenthal L.S., and Uhlmann W., 2025, Practice recommendations for genetic testing of ataxias, Annals of Clinical and Translational Neurology, 12(12): 2398-2409. https://doi.org/10.1002/acn3.70171 Wijekoon N., Gonawala L., Ratnayake P., Sirisena D., Gunasekara H., Dissanayake A., Amaratunga D., Steinbusch H., Hathout Y., Hoffman E., Dalal A., Mohan C., and De Silva K., 2025, Serum metabolomic signatures of patients with rare neurogenetic diseases: an insight into potential biomarkers and treatment targets, Frontiers in Molecular Neuroscience, 17: 1482999. https://doi.org/10.3389/fnmol.2024.1482999 Wang L.T., 2025, Study on the application of targeted therapy combined with chemotherapy in cervical cancer patients, International Journal of Clinical Case Reports, 15(3): 139-147. https://doi.org/10.5376/ijccr.2025.15.0015 Xie C., Lin Y., Qi C., Wang W., Yuan Y., Song D., Wang Z., Liu H., Feng X., and Gao H., 2025, Neuro-endocrine-immune regulation of metabolic homeostasis, Cytokine and Growth Factor Reviews, 85:165-178. https://doi.org/10.1016/j.cytogfr.2025.08.001 Xie L., Raj Y., Tong M., Nho K., Salama P., Saykin A., Fang S., and Yan J., 2025, Deep fusion of incomplete multi-omic data for molecular mechanism of Alzheimer’s disease, Scientific Reports, 15(1): 30182. https://doi.org/10.1038/s41598-025-14636-2 Yang Y., Diao Y., Jiang L., Li F., Chen L., Ni M., Wang Z., and Fang H., 2025, A computational medicine framework integrating multi-omics systems biology and artificial neural networks for Alzheimer's disease therapeutic discovery, Acta Pharmaceutica Sinica B, 15(9): 4411-4426. https://doi.org/10.1016/j.apsb.2025.07.018 Yen N., Tien N., Thu N., Ducatez F., Mauhin W., Lidove O., Bekri S., Tebani A., and Long N., 2025, A multi-omics-empowered framework for precision diagnosis and treatment of lysosomal diseases, Journal of Pharmaceutical Analysis 15(10): 101274. https://doi.org/10.1016/j.jpha.2025.101274

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