From Diagnosis to Treatment: A Comprehensive Review of Biomarkers and Therapeutic Advances in Parkinson’s Disease

IF 1.8 Q4 NEUROSCIENCES
Hussain Sohail Rangwala, Hareer Fatima, Aina Marzia Syed, Syed Raza Abbas, Burhanuddin Sohail Rangwala
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引用次数: 0

Abstract

Background Parkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons, resulting in motor symptoms. Ongoing research shows promise for long-term solutions. Summary Studies highlight the dysregulation of Syt11 and α-synuclein (α-syn) in PD. Disrupted α-syn homeostasis due to palmitoylation of Syt11 contributes to its aggregation, potentially playing a role in PD pathology. α-synuclein aggregates in stool samples show promise as an early diagnostic biomarker. Vocal impairments in PD may be linked to α-syn-induced neuropathology. Irisin, produced after exercise, promotes the degradation of pathologic α-syn. Progress has been made in identifying PD biomarkers. Retinal thinning and abnormal protein aggregates in skin biopsies provide noninvasive diagnostic indicators. Blood-based biomarkers like α-syn, DJ-1, and LRRK2 hold promise but face limitations. Artificial intelligence (AI) models enhance mitophagy, detect PD through sleep-breathing signals, and improve survival. AI analysis aids noninvasive assessment and risk prediction. Further understanding of PD involves studying pathological seeds and genetic mutations. Adenosine receptor regulation relates to early-onset PD, and specific gene mutations impact patient survival. Differentiated-induced pluripotent stem cells offer the potential for cell replacement therapy. Autoimmune features and T-cell involvement suggest intervention targets. Stem cell-based therapies and neurostimulation strategies show promise for improving motor function. Imaging reveals increased central inflammation in PD, suggesting an inflammatory role. Machine learning algorithms and home gait speed monitoring aid in diagnosis and disease progression tracking. Abnormal putamen gradients reflect dopaminergic loss and motor dysfunction. Antiepileptic drug prescriptions are associated with an increased PD risk. Personalized medicine, gut–brain axis involvement, and vestibular stimulation therapy offer potential PD treatment avenues. Genetic engineering techniques and deep brain stimulation show promise for alleviating PD symptoms. Key Message Ongoing research and technological advancements promise to improve PD screening, diagnosis, and treatment, bringing hope to affected individuals.
从诊断到治疗:帕金森病生物标志物和治疗进展的综合综述
帕金森氏病(PD)是一种进行性神经退行性疾病,其特征是多巴胺能神经元的丧失,导致运动症状。正在进行的研究显示出长期解决方案的前景。研究强调了PD中Syt11和α-突触核蛋白(α-syn)的失调。Syt11棕榈酰化导致α-syn稳态被破坏,导致其聚集,可能在PD病理中发挥作用。粪便样品中的α-突触核蛋白聚集体有望作为早期诊断的生物标志物。PD患者的声带损伤可能与α-syn诱导的神经病理有关。运动后产生的鸢尾素可促进病理性α-syn的降解。PD生物标志物的鉴定已取得进展。视网膜变薄和皮肤活检中的异常蛋白聚集提供了无创诊断指标。基于血液的生物标志物,如α-syn、DJ-1和LRRK2有希望,但面临局限性。人工智能(AI)模型增强线粒体自噬,通过睡眠呼吸信号检测PD,提高生存率。人工智能分析有助于无创评估和风险预测。进一步了解帕金森病需要研究病理种子和基因突变。腺苷受体调控与早发性帕金森病有关,特异性基因突变影响患者生存。分化诱导的多能干细胞为细胞替代疗法提供了潜力。自身免疫特征和t细胞参与提示干预目标。干细胞疗法和神经刺激策略有望改善运动功能。影像学显示PD中枢性炎症增加,提示炎症作用。机器学习算法和家庭步态速度监测有助于诊断和疾病进展跟踪。壳核梯度异常反映了多巴胺能丢失和运动功能障碍。抗癫痫药物处方与PD风险增加有关。个体化治疗、肠脑轴受累和前庭刺激治疗提供了潜在的帕金森病治疗途径。基因工程技术和深部脑刺激有望缓解帕金森病的症状。正在进行的研究和技术进步有望改善帕金森病的筛查、诊断和治疗,为患者带来希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annals of Neurosciences
Annals of Neurosciences NEUROSCIENCES-
CiteScore
2.40
自引率
0.00%
发文量
39
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