Jin Fang, Wang Zhidan
School of Education Science, Jiangsu Normal University, Xuzhou, China.
Front Neurosci. 2024 Dec 13;18:1514678. doi: 10.3389/fnins.2024.1514678. eCollection 2024.
Autism spectrum disorder is a distinctive developmental condition which is caused by an interaction between genetic vulnerability and environmental factors. Biomarkers play a crucial role in understanding disease characteristics for diagnosis, prognosis, and treatment. This study employs bibliometric analysis to identify and review the 100 top-cited articles' characteristics, current research hotspots and future directions of autism biomarkers.
A comprehensive search of autism biomarkers studies was retrieved from the Web of Science Core Collection database with a combined keyword search strategy. A comprehensive analysis of the top 100 articles was conducted with CiteSpace, VOSviewer, and Excel, including citations, countries, authors, and keywords.
The top 100 cited studies were published between 1988 and 2021, with the United States led in productivity. Core biomarkers such as genetics, children, oxidative stress, and mitochondrial dysfunction are well-established. Potential trends for future research may include brain studies, metabolomics, and associations with other psychiatric disorders.
This pioneering bibliometric analysis provides a comprehensive compilation of the 100 most-cited studies on autism, which not only offers a valuable resource for doctors, and researchers but shedding insights into current shortcomings and future endeavors. Future research should prioritize the application of emerging technologies for biomarkers, longitudinal study of biomarkers, and specificity of autism biomarkers to advance the precision of ASD diagnosis and treatment.
自闭症谱系障碍是一种独特的发育状况,由遗传易感性和环境因素相互作用引起。生物标志物在理解疾病特征以进行诊断、预后和治疗方面起着关键作用。本研究采用文献计量分析来识别和综述关于自闭症生物标志物的100篇被引频次最高的文章的特征、当前研究热点及未来方向。
通过组合关键词搜索策略,从科学引文索引核心合集数据库全面检索自闭症生物标志物研究。使用CiteSpace、VOSviewer和Excel对前100篇文章进行全面分析,包括被引频次、国家、作者和关键词。
被引频次最高的100项研究发表于1988年至2021年之间,美国在研究产出方面领先。遗传学、儿童、氧化应激和线粒体功能障碍等核心生物标志物已得到充分确立。未来研究的潜在趋势可能包括脑研究、代谢组学以及与其他精神疾病的关联。
这项开创性的文献计量分析提供了关于自闭症的100篇被引频次最高的研究的全面汇编,不仅为医生和研究人员提供了宝贵资源,还深入洞察了当前的不足和未来的努力方向。未来研究应优先考虑新兴技术在生物标志物方面的应用、生物标志物的纵向研究以及自闭症生物标志物的特异性,以提高自闭症谱系障碍诊断和治疗的精准度。