1.Clinical characteristics of patients with autoimmune encephalitis combined with blood-brain barrier damage and their response to immunotherapy
Yimeng LI ; Yaoyao WANG ; Yidi SUN ; Yajun LIAN ; Xuan CHENG
Chinese Journal of Neuromedicine 2023;22(2):157-164
Objective:To analyze the relations of blood-brain barrier (BBB) integrity with clinical features and their response to immunotherapy in patients with autoimmune encephalitis (AE).Methods:One hundred and forty-seven AE patients confirmed in Department of Neurology, First Affiliated Hospital of Zhengzhou University from August 2015 to December 2021 were chosen; their clinical and laboratory data were collected retrospectively. In accordance with cerebrospinal fluid (CSF) albumin/serum albumin (QAlb) value of 7, patients were classified into normal BBB group ( n=101, QAlb value ≤7.00) and damaged BBB group ( n=46, QAlb value >7.00). Modified Rankin Scale (mRS) and Clinical Assessment Scale for Autoimmune Encephalitis (CASE) were used to evaluate the severity on admission and 30 d after first-line immunotherapy; and good immunotherapy responsiveness was defined as CASE or mRS scores 30 d after first-line immunotherapy lower than those at admission. Differences of general data, clinical manifestations, CSF and peripheral blood biochemical results, and response to immunotherapy between the two groups were compared and analyzed. Results:The damaged BBB group had significantly higher proportions of patients with decreased consciousness level (58.7% vs. 37.6%), increased CSF protein, increased immunoglobulin G (IgG) and increased 24 h intramural IgG synthesis rate, and significantly higher fibrinogen in peripheral blood than normal BBB group ( P<0.05). On 30 th d of treatment, mRS scores of patients in damaged BBB group were significantly higher than those of patients in normal BBB group ( P<0.05), and the differences of CASE scores and mRS scores before and after treatment in damaged BBB group were significantly lower than those in normal BBB group (0.50±0.46 vs. 3.24±2.93, 0.70±0.62 vs. 1.15±1.04, P<0.05). In damaged BBB group, good immunotherapy response rate in patients receiving single immunotherapy was significantly lower than that in patients receiving two or three combinations of first-line immunotherapy ( P<0.05). Conclusion:BBB integrity is closely related to clinical characteristics and response to immunotherapy of AE; combined first-line immunotherapy is recommended for AE patients with BBB injury.
2.Analysis of the status and related factors of vaccination against respiratory diseases among elderly people aged ≥60 in Zhejiang Province
Yiwen XU ; Linling DING ; Lixia YE ; Yexiang SUN ; Yidi WANG ; Shenyu WANG
Chinese Journal of Preventive Medicine 2024;58(9):1360-1366
The objective of this study is to assess the current status of vaccination against respiratory disease among the elderly aged ≥60 and analyze the factors influencing vaccination rates at both service provider and recipient levels in Zhejiang Province. Using a stratified random sampling method, a questionnaire survey was conducted from September 2022 to January 2023 among elderly people aged ≥60 in 30 townships/streets in Zhejiang Province, as well as immunization planning staff at the provincial, municipal, county/district, and township/street levels. Logistic regression models were used to analyze the factors related to vaccination among elderly people in Zhejiang Province. Based on the Zhejiang Provincial Comprehensive Management Information System for Vaccine and Vaccination, the systematic coverage rates of influenza vaccine and pneumonia vaccine for the elderly were 21.76% and 4.57%, respectively. Multivariate logistic regression analysis indicated that advanced age ( OR=1.74, 95% CI: 1.51-1.99), knowing that influenza is more severe than the common cold ( OR=1.67, 95% CI: 1.37-2.04) and having heard of the influenza vaccine ( OR=9.78, 95% CI: 7.03-13.59) were motivating factors for elderly to receive influenza vaccines. Advanced age ( OR=1.71, 95% CI: 1.43-2.06), knowing the serious consequences of pneumonia in the elderly ( OR=1.93, 95% CI: 1.47-2.55) and knowing that pneumonia vaccines can prevent pneumonia ( OR=6.36, 95% CI: 4.84-8.36) were motivating factors for elderly to receive pneumonia vaccines. Zhejiang Immunization Program staff believed that the main reasons why the elderly aged ≥60 would not be vaccinated against influenza or pneumonia were that they felt they would not get sick (55.52% and 56.35% respectively), it would not be serious if get sick (47.73% and 37.46% respectively), lacking trust in vaccine efficacy and safety (38.31% and 43.69% respectively). Vaccination rates for influenza and pneumonia vaccines among the elderly aged ≥60 in Zhejiang Province are suboptimal. Advanced age, awareness of the severity of respiratory diseases and awareness of vaccines against such diseases are related factors for elderly individuals to receive influenza and pneumonia vaccines.
3.Kinase–substrate Edge Biomarkers Provide A More Accurate Prognostic Prediction in ER-negative Breast Cancer
Sun YIDI ; Li CHEN ; Pang SHICHAO ; Yao QIANLAN ; Chen LUONAN ; Li YIXUE ; Zeng RONG
Genomics, Proteomics & Bioinformatics 2020;18(5):525-538
The estrogen receptor (ER)-negative breast cancer subtype is aggressive with few treat-ment options available. To identify specific prognostic factors for ER-negative breast cancer, this study included 705,729 and 1034 breast invasive cancer patients from the Surveillance, Epidemiol-ogy, and End Results (SEER) and The Cancer Genome Atlas (TCGA) databases, respectively. To identify key differential kinase-substrate node and edge biomarkers between ER-negative and ER-positive breast cancer patients, we adopted a network-based method using correlation coefficients between molecular pairs in the kinase regulatory network. Integrated analysis of the clinical and molecular data revealed the significant prognostic power of kinase-substrate node and edge featuresfor both subtypes of breast cancer. Two promising kinase-substrate edge features, CSNK1A1-NFATC3 and SRC-OCLN, were identified for more accurate prognostic prediction in ER-negative breast cancer patients.
4.Highly efficient base editing in human tripronuclear zygotes.
Changyang ZHOU ; Meiling ZHANG ; Yu WEI ; Yidi SUN ; Yun SUN ; Hong PAN ; Ning YAO ; Wanxia ZHONG ; Yixue LI ; Weiping LI ; Hui YANG ; Zi-Jiang CHEN
Protein & Cell 2017;8(10):772-775