1.Analysis to TCM Syndrome of 200 Patients with Metabolic Syndrome
Yongjun CAO ; Qianyue YE ; Weibo WEN
International Journal of Traditional Chinese Medicine 2009;31(5):453-454
Objective To investigate the TCM syndrome of metabolic syndrome. Methods The clinic information of the patients with metabolic syndrome was systematically collected through questionnaire investigation. The information was gathered with EXECL and analyzed by the medical statistic software SPSS14.0. Results Metabolic syndrome was closely related to lung, spleen, and kidney, manifested as spleen deficiency, lung deficiency, kidney deficiency, deficiency of both lung and spleen, deficiency of both lung and kidney, and deficiency of both spleen and kidney. The most frequently seen dyndrome is Qi deficiency, and the syndrome with most serious manifestations is phlegm-dampness. Conelesions Metabolic syndrome has a most closed relationship with the three organs of lung, spleen, and kidney. Qi deficiency, phlegm dampness, and blood stasis are the most frequently seen manifestations.
2.Atypical developmental of the sensorimotor network optimal frequency in children with autism spectrum disorder
LU Chunying, ZHANG Qianyue, CHEN Xue, LI Bowen, HE Bifang, YE Shaobing, CHEN Heng
Chinese Journal of School Health 2023;44(3):344-347
Objective:
On the basis of the dominant frequency index of functional connectivity, the "brain age" analysis method was used to explore abnormal development patterns of sensorimotor networks in boys with autism spectrum disorder(ASD).
Methods:
The resting state functional magnetic resonance data (7-12 years old) for 105 boys with ASD and 102 matched boys with normal development from the ABIDE public database were screened. Functional connection networks in different frequency bands of sensorimotor related brain regions were constructed for each individual, and the frequency of the strongest connection were constructed as the optimal frequency of the connection. Brain age analysis was used to explore the difference between brain age and chronological age in boys with ASD.
Results:
The brain sensorimotor network of boys with ASD showed an abnormal development pattern of overdevelopment followed by underdevelopment, and the transition between the two patterns occurred at approximately 7.8 years of age. Older boys with ASD (older than 10 years) whose underdevelopment trend was suppressed had lower ASD severity( r=-0.43, P < 0.05 ).
Conclusion
The brain sensorimotor network in boys with ASD has an abnormal development process, and the brain chronological age difference in the sensorimotor network has potential as a neuroimaging marker to measure the development of ASD.
3.Single-cell transcriptome analysis of T cells in thyroid and peripheral blood of patients with Hashimoto′s thyroiditis
Zheng WANG ; Qianyue ZHANG ; Xiaoping YE ; Zheng ZHOU ; Ya FANG ; Ruijia ZHANG ; Rui LI ; Huaidong SONG
Chinese Journal of Endocrinology and Metabolism 2022;38(9):766-774
Objective:To construct single-cell transcription landscape of T cell in peripheral blood mononuclear cells(PBMCs) and thyroid tissue of patients with Hashimoto ′s thyroiditis(HT), and to analyze the changes in the proportion and functionality of T cell clusters in HT disease state.Methods:Single cell RNA sequencing was performed on PBMCs and thyroid tissue from 5 HT patients. Single cell RNA sequencing data of PBMCs from 5 healthy individuals were retrieved from public databases. After preliminary clustering, the clusters expressing CD3E were extracted and clustering again, and the names of each cluster were determined according to the known cell markers. The proportion of each cell subtype was compared, and the differentially expressed genes in different samples were analyzed.Results:After quality control, the 71 533 T cells were classified into 19 cell clusters. Among them, the proportion and function of C1_CD4 + Naive T cell clusters, C3_CD4 + Treg cell clusters, C7_CD8 + Naive T cell clusters, C8_GNLY -CD8 + T cell clusters, C10_RORC + CD8 + T cell clusters, C11_ GZMK + CD8 + T cell clusters, C12_CCL4 + CD8 + T cell clusters, and C18_PTGDS + NK cell clusters in thyroid tissue of HT patients were significantly different from those in PBMCs of healthy controls and HT patients. Conclusion:The proportion of multiple T cells in thyroid tissue of HT patients were significantly different from those in PBMCs. Among them, the proportion of three of CD8 + T cell subsets with high expression of cell killing-related genes in thyroid tissue T cells of HT patients is higher than that in PBMCs T cells, and it is statistically significant. In addition, the functionality of various T cells in the thyroid tissue of HT patients are also significantly different from those in PBMCs. A cluster of GZMK + CD8 + T cells showes significantly lower expression of genes related to PD1 pathway in thyroid tissues of HT patients compared with cells in PBMCs of HT patients, also a cluster of CCL4 + CD8 + T cells showes significantly lower expression of genes related to IL-12 pathway.