Journal of Neurorestoratology最新文献

{"title":"Bioinformatic identification of risk factors from an immunological viewpoint in idiopathic Parkinson's disease","authors":"Zhenshan Sun ,&nbsp;Pengfei Fu ,&nbsp;Shiqing Zhang ,&nbsp;Ken Kin Lam Yung","doi":"10.1016/j.jnrt.2024.100177","DOIUrl":"10.1016/j.jnrt.2024.100177","url":null,"abstract":"<div><h3>Background</h3><div>In the present study, we focused on uncovering stable genetic alterations associated with idiopathic Parkinson's disease (IPD) in blood samples. We aimed to identify factors that connect IPD to the peripheral immune system, thereby deepening our understanding of the pathophysiology of this disease.</div></div><div><h3>Methods</h3><div>A gene expression microarray dataset (GSE99039) was selected from the National Center for Biotechnology Information Gene Expression Omnibus database to screen for differentially expressed genes (DEGs). Subsequent analyses included Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. A protein–protein interaction network was then constructed to identify hub genes within these DEGs. Additionally, we used a verification dataset (GSE160299) to test the consistency of the expression level changes of the hub genes.</div></div><div><h3>Results</h3><div>We identified 277 DEGs, comprising 270 downregulated genes and 7 upregulated genes. The functional enrichment results revealed a close association between IPD and changes in peripheral immune status. Five hub genes—<em>HLA-F</em>, <em>HLA-E</em>, <em>KIR3DL2</em>, <em>KIR3DL1</em>, and <em>TYROBP</em>—were identified, and the expression level changes remained stable in the verification set.</div></div><div><h3>Conclusions</h3><div>Our findings help to clarify the regulatory pathways that connect peripheral immunity to IPD pathogenesis. We identified five key hub genes in the blood as IPD-related factors; all five genes were also significantly altered in an independent clinical dataset.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 2","pages":"Article 100177"},"PeriodicalIF":3.1,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143388188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in neurodegenerative diseases: Pathogenesis and novel neurorestorative interventions","authors":"Wenyong Gao ,&nbsp;Shiyuan Jing ,&nbsp;Chao He ,&nbsp;Hooshang Saberi ,&nbsp;Hari Shanker Sharma ,&nbsp;Fabin Han ,&nbsp;Lin Chen","doi":"10.1016/j.jnrt.2024.100176","DOIUrl":"10.1016/j.jnrt.2024.100176","url":null,"abstract":"<div><div>Progressive neurodegenerative diseases (NDs) that lack effective disease-modifying treatments, including Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and Huntington's disease (HD), represent significant global health challenges. In recent years, key research findings have included the role of neuroinflammation driven by microglia and astrocytes, the impact of genetic mutations, and the importance of autophagy and mitochondrial quality control in maintaining neuronal health. In this review, we summarize recent advancements of the pathogenesis of NDs, the cellular and animal models that have provided valuable insights into disease mechanisms, and the development of blood-based biomarkers for early diagnosis and monitoring of disease progression. We also highlight emerging neurorestorative therapeutic strategies involving stem cell therapy, antisense oligonucleotides, and induced pluripotent stem cells. Additionally, we cover recent clinical trials of promising drugs, such as lecanemab and donanemab for AD, and tavapadon for PD. Finally, we propose future research directions, emphasizing the need for combination therapies that target multiple pathways, the development of more precise animal models, and the integration of nanotechnology for improved drug delivery across the blood–brain barrier.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 2","pages":"Article 100176"},"PeriodicalIF":3.1,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal MRI and artificial intelligence: Shaping the future of glioma","authors":"Yiqin Yan ,&nbsp;Chenxi Yang ,&nbsp;Wensheng Chen ,&nbsp;Zhaoxing Jia ,&nbsp;Haiying Zhou ,&nbsp;Zhong Di ,&nbsp;Longbiao Xu","doi":"10.1016/j.jnrt.2024.100175","DOIUrl":"10.1016/j.jnrt.2024.100175","url":null,"abstract":"<div><div>Gliomas are the most common malignant tumors in the central nervous system and are known for their inherent diversity and propensity to invade surrounding tissue. These features pose significant challenges in diagnosing and treating these tumors. Magnetic resonance imaging (MRI) has not only remained at the forefront of glioma management but has also evolved significantly with the advent of multimodal MRI. The rise of multimodal MRI represents a pivotal leap forward, as it seamlessly integrates diverse MRI sequences and advanced techniques to offer an unprecedented, comprehensive, and multidimensional glimpse into the complexities of glioma pathology, including encompassing structural, functional, and even molecular imaging. This holistic approach empowers clinicians with a deeper understanding of tumor characteristics, enabling more precise diagnoses, tailored treatment strategies, and enhanced monitoring capabilities, ultimately improving patient outcomes. Looking ahead, the integration of artificial intelligence (AI) with MRI data heralds a new era of unparalleled precision in glioma diagnosis and therapy. This integration holds the promise to revolutionize the field, enabling more sophisticated analyses that fully leverage all aspects of multimodal MRI. In summary, with the continuous advancement of multimodal MRI techniques and future deep integrations with artificial intelligence, glioma care is poised to evolve toward increasingly personalized, precise, and efficacious strategies.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 2","pages":"Article 100175"},"PeriodicalIF":3.1,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical association of habitual breakfast skipping with cognitive decline and neurodegeneration among older adults","authors":"Jun Zhang ,&nbsp;Ya-Jun Li ,&nbsp;Shu Yang ,&nbsp;Bing-Hu Li ,&nbsp;Duo-Zi Wang ,&nbsp;Lei Liu ,&nbsp;Jian-Hong Wang","doi":"10.1016/j.jnrt.2024.100173","DOIUrl":"10.1016/j.jnrt.2024.100173","url":null,"abstract":"<div><h3>Background</h3><div>Unhealthy lifestyles have a considerable impact on the incidence of dementia. Skipping breakfast disturbs energy homeostasis and impairs brain function. In this study, we investigated the association between breakfast skipping and cognitive performance among community-dwelling adults.</div></div><div><h3>Methods</h3><div>We recruited 859 community-dwelling adults aged ≥60 years from January 1 to December 31, 2021. Participants’ sociodemographic information and breakfast skipping habits were self-reported. Participants were followed up for 36 months and cognitive function was assessed using the Mini-Mental State Examination (MMSE) with an interval of 18 months. Trajectories of cognitive change were compared between individuals with and without breakfast skipping. To reduce the risk of bias owing to unmatched sample sizes between the groups, we conducted 1:1 propensity score matching (PSM) based on age, sex, education level, and ApoE genotype.</div></div><div><h3>Results</h3><div>At baseline and 18-month follow-up, no difference was found in MMSE scores between participants with and without breakfast skipping. However, those who habitually skipped breakfast had significantly lower MMSE scores than those who did not at 36-month follow-up. Individuals with habitual breakfast skipping had a steeper rate of cognitive decline than those without habitual breakfast skipping during follow-up. Breakfast skipping was a risk factor for longitudinal cognitive decline, defined as a decrease in MMSE scores of ≥3, adjusted for age, sex, education, body mass index, ApoE ε4 carrier status, hypertension, diabetes, and hyperlipidemia. At the last follow-up, participants who habitually skipped breakfast had significantly higher levels of ptau181 and NfL than those who did not. In the PSM cohort, similar findings were obtained regarding cognitive trajectories and plasma biomarkers.</div></div><div><h3>Conclusion</h3><div>Breakfast skipping was linked to an increased risk of long-term cognitive decline and neurodegeneration among older adults. The link between unhealthy dietary habits and cognitive decline may be attributed to a deficiency in neurorestoration resulting from inadequate energy consumption.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 2","pages":"Article 100173"},"PeriodicalIF":3.1,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143175104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of causal relationship between immune cells and intracranial aneurysm: A mendelian randomization study","authors":"Yang Zhang ,&nbsp;Sifei Wang ,&nbsp;Yiming Huang ,&nbsp;Miaowen Jiang ,&nbsp;Baoying Song ,&nbsp;Di Wu ,&nbsp;Ming Wei ,&nbsp;Ming Li ,&nbsp;Xunming Ji","doi":"10.1016/j.jnrt.2024.100168","DOIUrl":"10.1016/j.jnrt.2024.100168","url":null,"abstract":"<div><h3>Background</h3><div>Immune cells have been detected in intracranial aneurysms (IAs). However, the causal effect of immune cell phenotypes on IAs remains unclear and difficult to comprehensively analyze.</div></div><div><h3>Methods</h3><div>Instrumental variables for 731 immunophenotypes were extracted from publicly available genetic databases. The influence of these immune cell traits on IAs was evaluated using the Mendelian randomization (MR) method. Five MR analysis methods, with inverse-variance-weighted as the main method, along with a comprehensive sensitivity analysis, were used to determine reliability of the results. Multivariable MR analysis was performed to correct for interactions between different immune cell phenotypes.</div></div><div><h3>Results</h3><div>Overall, 27 immune cell traits exhibited significant causal effects on IAs. Among them, 13 immunophenotypes increased the risk of IA progression. Conversely, 14 immune cell characteristics might protect against IAs. Following false discovery rate correction, two hazardous and three protective immunophenotypes remained significant. Moreover, multivariate MR analysis showed that only naive CD4− CD8− T cells %T cells remained causally associated with a risk of IA, while CD19 on IgD+ CD38− naive B cells inhibited development of IAs.</div></div><div><h3>Conclusions</h3><div>Our study shows that immune cell traits and IAs are causally correlated, providing a new theoretical framework for understanding immune-IA crosstalk.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 1","pages":"Article 100168"},"PeriodicalIF":3.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Authors’ response to correspondence regarding “Application of deep brain stimulation and transcranial magnetic stimulation in stroke neurorestoration: A review”","authors":"Yanxi Chen,&nbsp;Wen Wang,&nbsp;Fangling Sun","doi":"10.1016/j.jnrt.2024.100161","DOIUrl":"10.1016/j.jnrt.2024.100161","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100161"},"PeriodicalIF":3.1,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Response to the Letter from Dr. Li et al. for “Two Sides of One Coin: Neurorestoratology and Neurorehabilitation”","authors":"Hongyun Huang,&nbsp;Hari Shanker Sharma,&nbsp;Lin Chen,&nbsp;Ali Otom,&nbsp;John R. Bach,&nbsp;Wagih S. El Masri","doi":"10.1016/j.jnrt.2024.100160","DOIUrl":"10.1016/j.jnrt.2024.100160","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100160"},"PeriodicalIF":3.1,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Letter to Editor: Correspondence to \"Two sides of one coin: Neurorestoratology and Neurorehabilitation\"","authors":"Xiumin Li,&nbsp;Jie Wang,&nbsp;Yong Liu","doi":"10.1016/j.jnrt.2024.100159","DOIUrl":"10.1016/j.jnrt.2024.100159","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100159"},"PeriodicalIF":3.1,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142534866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Comparison of chronic restraint stress-and lipopolysaccharide-induced mouse models of depression: Behavior, c-Fos expression, and microglial and astrocytic activation” [J Neurorestoratol 12 (2024) 100130]","authors":"Lingyu Zhang ,&nbsp;Caizhuo Cao ,&nbsp;Changyi Luo ,&nbsp;Huaqiang Ruan ,&nbsp;Chuang Xu ,&nbsp;Yan Wang ,&nbsp;Xiaoxia Jiang ,&nbsp;Gengsheng Mao","doi":"10.1016/j.jnrt.2024.100158","DOIUrl":"10.1016/j.jnrt.2024.100158","url":null,"abstract":"","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"12 4","pages":"Article 100158"},"PeriodicalIF":3.1,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A predictive model for functionality improvement after stroke rehabilitation","authors":"Xue Yang ,&nbsp;Qian Liu ,&nbsp;Hongmei Zhang,&nbsp;Yihuan Lu,&nbsp;Liqing Yao","doi":"10.1016/j.jnrt.2024.100157","DOIUrl":"10.1016/j.jnrt.2024.100157","url":null,"abstract":"<div><h3>Background</h3><div>This study develops a simple predictive model for identifying stroke patients who have a better chance of showing improved activities of daily living (ADL) outcomes following a stroke.</div></div><div><h3>Methods</h3><div>The cohort of 489 stroke patients was divided into testing and training groups. Multivariate logistic regression analysis was conducted for each model. Four models were compared using the C statistic (AUC), Akaike's information criterion (AIC), and other metrics. The best model was assessed using a nomogram.</div></div><div><h3>Results</h3><div>Univariate analysis revealed that several variables measured significantly higher at discharge than at admission, including manual muscle testing, standing, and so on. Multivariate logistic regression analysis revealed that activities-specific balance confidence, Brunnstrom recovery stage for lower extremities, standing, the mini-balance evaluation systems test, and the Hamilton anxiety scale were independent predictors of ADL. Model 1 was found to be more accurate for the prediction of ADL (AUC: training, 0.916 [0.889−0.943] and test, 0.887 [0.806−0.968]; AIC: training, 257.42 and test, 76.79) than model 2 (AUC: training, 0.850 [0.894−0.806] and test, 0.819 [0.715−0.923]; AIC: training, 314.44 and test, 83.78), model 3 (AUC: training, 0.862 [0.901−0.823] and test, 0.830 [0.731−0.929]; AIC: training, 307.76 and test, 86.55), and model 4 (AUC: training, 0.862 [0.901−0.823] and test, 0.833 [0.733−0.932]; AIC: training, 305.8 and test, 86.28).</div></div><div><h3>Conclusion</h3><div>A multivariate model can be used to predict functionality improvement, as measured by ADL, following hospitalization with a stroke.</div></div>","PeriodicalId":44709,"journal":{"name":"Journal of Neurorestoratology","volume":"13 1","pages":"Article 100157"},"PeriodicalIF":3.1,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142699288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}