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ObjectiveTo visualize the research trends of verbal and nonverbal cognitive functions in patients with post-stroke aphasia (PSA). MethodsPapers about verbal and nonverbal cognitive functions after stroke were extracted from Web of Science Core Collection from establishment to August, 2022, and a bibliometric analysis was conducted on the distribution of articles published by year, author, journal, institution, and country. Author cooperation, author co-citation, journal co-citation, country/institution cooperation, dynamic evolution, keyword hotspots, and trends were visually analyzed by using VOSviewer software. ResultsA total of 1 630 publications were identified for final analysis. The first article related to the topic was retrieved in 2004. After that, the number of published papers showed an increasing trend year by year, with some fluctuations after 2019. Matthew A. Lambon Ralph and Elizabeth Jefferies were the authors who produced the most, were cited the most, and were the most influential. Neuropsychologia was a highly productive and well-cited publication. The University of Manchester in the United Kingdom and Johns Hopkins University in the United States were the nations/institutions with high yield and high centrality. Although China had a high yield and was in the top five, the centrality was insufficient. The dynamic emergence of keywords revealed that the research had gone through the following stages: evaluating the mechanism of language and nonverbal cognitive function impairment based on neuroimage, exploring the role of nonverbal cognitive dysfunction in pathology and recovery mechanisms of patients with PSA, examining the therapeutic mechanism of non-invasive brain stimulation and electronic tele-rehabilitation equipment, and revealing not only the frontal and temporal areas but also brain network supporting nonverbal cognition. ConclusionIn recent years, some achievements have been made in the researches on verbal and nonverbal cognitive function, particularly in the studies of the neuroimaging-based mechanisms of common damage and the intervention effects of synergistic therapy. In the future, academic cooperation between different regions and different teams needs to be strengthened. Further exploration should be focused on refining the cognitive neuropsychology and exploring new technologies to improve the therapeutic effect of PSA.
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ObjectiveTo explore the current status and frontier hotspots of functional near-infrared spectroscopy (fNIRS) in the field of stroke. MethodsRelevant literature on stroke and fNIRS from the Web of Science Core Collection (WoSCC) database was searched from its inception to July, 2023. VOSviewer, CiteSpace and Scimago were utilized for analysis of publication output, countries (regions) and institutions, international collaboration, co-cited references, co-occurring keywords and burst keywords. ResultsA total of 379 articles were included. The research activity in this field showed an overall upward trend with slight fluctuations in the early stage. Among the top five institutions by publication output, four were from China. Co-occurrence analysis revealed that Beihang University and Boston Children's Hospital were central in collaboration networks. This study involved 1 787 authors, with 120 core authors, in which the top five most cited authors were Li Zengyong, Li Wenhao, Huo Congcong, Dou Zulin and Song Ying. The publications in this field were primarily concentrated in disciplines such as neurology, psychiatry, ophthalmology and clinical medicine. Overlay visualization of journal co-citation networks demonstrated associations between medical, clinical, and neurology disciplines with psychology, education, and sociology. Co-occurrence and clustering analysis of keywords indicated research emphasis on stroke rehabilitation, integration of multiple technical modalities, and exploration of innovative training strategies and brain activation connectivity. The research evolution of fNIRS in the stroke domain revealed initial use of photodiode devices for cerebral ischemia reperfusion monitoring. Subsequent studies refined cortical activation through improved laser sources, avalanche photodiodes, single-task experimental designs and transcranial direct current stimulation. Later, research extended to whole-brain detection, multimodal stimulation and the combination of virtual reality technology with audiovisual stimulation, resulting in significantly enhanced brain activation. The application of brain-computer interface technology further facilitated direct restoration of motor function. ConclusionResearches in the field of stroke using fNIRS technology overall demonstrat a continuous upward trend. The researches focuse on post-stroke rehabilitation, integrating multimodal fusion, brain-computer interfaces, virtual reality, and sensory stimulation for real-time monitoring and personalized neurorehabilitation training strategies. It emphasizes interdisciplinary collaboration, expanding innovative research and the application of new technologies.
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Objective:To search for potential protein biomarkers of papillary thyroid carcinoma (PTC) and thyroid borderline lesion. Dif-ferentially expressed proteins between the two were analyzed and identified. Methods:A total of 118 cases of thyroid resection sam-ples were obtained from patients who underwent surgery at the First People's Hospital of Yunnan Province from April 2013 to Febru-ary 2015. Experimental groups included 43 PTCs (40 classic and 3 follicular variants) and 33 thyroid borderline lesions (with equivocal PTC type nuclear features and papillary structure, but without metastasis, and lacking capsular or vascular invasion;8 cases with atypi-cal adenoma), respectively. The control group included 42 normal thyroid tissues adjacent to carcinoma. The total protein extracts from frozen thyroid samples of 10 cases in each group were profiled with 2D electrophoresis. The differential protein spots were then revealed by PDQUEST 7.3 software and identified by matrix-assisted laser desorption ionization time-of-fight/time-of-fight mass spec-trometry and Swiss-Prot database search. Six differentially expressed proteins of these spots were further validated using 118 samples through immunohistochemistry. Results:A set of 24 differentially expressed spots significant in discriminating between the sample groups were found, and 18 proteins were identified. Immunohistochemistry revealed the following six proteins located in the cyto-plasm:keratin, type II cytoskeletal 8 (CK8);keratin, type I cytoskeletal 18 (CK18);60 kDa heat shock protein (HSP60);actin, cytoplasmic 2 (γ-actin);14-3-3 protein beta/alpha (14-3-3β/α);and 14-3-3 protein epsilon (14-3-3ε). All six proteins were overexpressed in PTC compared with normal tissues (P<0.001). Meanwhile, CK8, CK18, HSP60, andγ-actin were overexpressed in PTC compared with bor-derline lesions (P<0.01). Except for CK8, the five other proteins were overexpressed in borderline lesions compared with normal tis-sues (P<0.001). Conclusion:Proteomic analysis is useful in searching for new biomarkers of PTC and thyroid borderline lesion. The ex-pression patterns of these differentially expressed proteins can be further validated using immunohistochemistry. The newly identified protein biomarkers can positively contribute to early PTC diagnosis.
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Objective To investigate the association of the polymorphism of rs3750344 and rs1435252 of G-protein family GABABR2 gene with obesity in population of Uygur and Han. Methods 785 Uygur subjects from Xinjiang and 425 Han subjects from Jinan Maternity and Child Care Hospital were recruited by epidemiology survey. Exposure indicators such as body mass index (BMI), total cholesterol (Tch), triglyceride (TG), fasting glucose (Glu) concentration were measured. Two single nucleotide polymorphisms (SNPs) of rs3750344 and rs1435252 of GABABR2 gene were typed with Taqman. Linkage disequilibrium and haplotype were analysed with Haploview software. Results The frequency of rs1435252 was significantly different in AA carries of Uygur subjects between overweight group (12.5%) and nor-mal weight group (6.6%), the subject with AA genotype significantly increased risk of overweight (OR=1.43, 95%CI:1.06~1.91). The fre-quency of rs1435252 was significantly different in A alleles carries of Han subjects between obesity group (80.0%) and normal weight group (65.2%), the subject with A alleles significantly increased risk of obesity (OR=2.13, 95%CI:1.18~3.86). The C alleles of rs3750344 signifi-cantly decreased risk of obesity (OR=0.69, 95%CI:0.49~0.97) in Uygur, but the significance disappeared after controlling for covariates of age and gender. Conclusion The rs1435252 A allele of GABABR2 gene is a risk factor for overweight or obesity in population of Uygur and Han.
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@#Objective To investigate the association of the polymorphism of rs3750344 and rs1435252 of G-protein family GABABR2 gene with obesity in population of Uygur and Han. Methods 785 Uygur subjects from Xinjiang and 425 Han subjects from Jinan Maternity and Child Care Hospital were recruited by epidemiology survey. Exposure indicators such as body mass index (BMI), total cholesterol (Tch), triglyceride (TG), fasting glucose (Glu) concentration were measured. Two single nucleotide polymorphisms (SNPs) of rs3750344 and rs1435252 of GABABR2 gene were typed with Taqman. Linkage disequilibrium and haplotype were analysed with Haploview software. Results The frequency of rs1435252 was significantly different in AA carries of Uygur subjects between overweight group (12.5%) and normal weight group (6.6%), the subject with AA genotype significantly increased risk of overweight (OR=1.43, 95% CI: 1.06~1.91). The frequency of rs1435252 was significantly different in A alleles carries of Han subjects between obesity group (80.0%) and normal weight group (65.2%), the subject with A alleles significantly increased risk of obesity (OR=2.13, 95%CI: 1.18~3.86). The C alleles of rs3750344 significantly decreased risk of obesity (OR=0.69, 95%CI: 0.49~0.97) in Uygur, but the significance disappeared after controlling for covariates of age and gender. Conclusion The rs1435252 A allele of GABABR2 gene is a risk factor for overweight or obesity in population of Uygur and Han.