1.Application value of gene-modified mesenchymal stem cells in liver diseases
Tingting ZHAO ; Junfeng LI ; Dan ZHOU ; Xiaoqin GAO ; Wei YUE ; Ruqin WANG ; Liting ZHANG
Journal of Clinical Hepatology 2025;41(6):1220-1226
The immunomodulatory, repair, and regeneration-promoting functions of mesenchymal stem cells make them one of the potential treatment methods for liver diseases. At present, viral and non-viral delivery methods have been developed to genetically modify mesenchymal stem cells, and gene modification can promote the survival, homing, and cytokine secretion of mesenchymal stem cells, thereby enhancing the ability of mesenchymal stem cells to treat liver diseases. This article mainly summarizes the research advances in gene-modified mesenchymal stem cells in the treatment of liver diseases, in order to provide new insights and strategies for the clinical treatment of liver diseases.
2.A real-world study of first-line albumin-bound paclitaxel in the treatment of advanced pancreatic cancer in China
Juan DU ; Xin QIU ; Jiayao NI ; Qiaoli WANG ; Fan TONG ; Huizi SHA ; Yahui ZHU ; Liang QI ; Wei CAI ; Chao GAO ; Xiaowei WEI ; Minbin CHEN ; Zhuyin QIAN ; Maohuai CAI ; Min TAO ; Cailian WANG ; Guocan ZHENG ; Hua JIANG ; Anwei DAI ; Jun WU ; Minghong ZHAO ; Xiaoqin LI ; Bin LU ; Chunbin WANG ; Baorui LIU
Chinese Journal of Oncology 2024;46(11):1038-1048
Objective:To observe and evaluate the clinical efficacy and safety of albumin-bound paclitaxel as first-line treatment for patients with advanced pancreatic cancer in China, and to explore the prognosis-related molecules in pancreatic cancer based on next-generation sequencing (NGS) of tumor tissues.Methods:From December 2018 to December 2020, patients with locally advanced or metastatic pancreatic cancer were recruited to accept albumin-bound paclitaxel as first-line treatment in the oncology departments of 24 hospitals in East China. The primary endpoints were overall survival (OS) and treatment related adverse events, and the secondary endpoint was progression-free survival (PFS). Adverse effects were graded using Common Terminology Criteria for Adverse Events 5.0 (CTCAE 5.0). NGS sequencing on the primary or metastatic tissue samples of pancreatic cancer obtained through surgical resection or biopsy was performed.Results:This study recruited 229 patients, including 70 patients with locally advanced pancreatic cancer (LAPC) and 159 patients with metastatic pancreatic cancer (mPC). The disease control rate was 79.9% and the objective response rate is 36.3%.The common adverse effects during treatment were anaemia (159 cases), leucopenia (170 cases), neutropenia (169 cases), increased aminotransferases (110 cases), and thrombocytopenia (95 cases), and the incidence of grade 3-4 neutropenia is 12.2% (28/229). The median follow-up time was 21.2 months (95% CI: 18.5-23.1 months). The median PFS (mPFS) was 5.3 months (95% CI: 4.37-4.07 months) and the median OS (mOS) was 11.2 months (95% CI: 9.5-12.9 months). The mPFS of patients with LAPC was 7.4 months (95% CI: 6.6-11.2 months), and their mOS was 15.5 months (95% CI: 12.6-NA months). The mPFS of patients with mPC was 3.9 months (95% CI: 3.4-5.1 months), and their mOS was 9.3 months (95% CI: 8.0-10.8 months). Multivariate Cox regression analysis showed that clinical stage ( HR=1.47, 95% CI: 1.06-2.04), primary tumor site ( HR=0.64, 95% CI: 0.48-0.86), Eastern Cooperative Oncology Group Performance Status (ECOG PS) score ( HR=2.66, 95% CI: 1.53-4.65), and whether to combine radiotherapy ( HR=0.65, 95% CI: 0.42-1.00) were independent influencing factors for the PFS of these patients. The primary tumor site ( HR=0.68, 95% CI: 0.48-0.95), ECOG score ( HR=5.82, 95% CI: 3.14-10.82), and whether to combine radiotherapy ( HR=0.58, 95% CI: 0.35-0.96) were independent influencing factors of the OS of these patients. The most frequent gene mutations in these advanced stage pancreatic patients were KRAS (89.66%), TP53 (77.01%), CDKN2A (32.18%), and SMAD4 (21.84%) by NGS of tumor tissues from 87 pancreatic cancer patients with sufficient specimens. Further analysis revealed that mutations in CDKN2B, PTEN, FGF6, and RBBP8 genes were significantly associated with an increased risk of death ( P<0.05). Conclusion:Albumin-bound paclitaxel as first-line treatment demonstrated feasible anti-tumor efficacy and manageable safety for patients with advanced pancreatic cancer in China.
3.Evaluation of the outcomes of cochlear implant in children with auditory neuropathy
Cuncun REN ; Ying LIN ; Xiaoqin FAN ; Pengfei LIANG ; Xinyu ZHANG ; Zejun GAO ; Dingjun ZHA
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2024;59(5):432-438
Objective:To investigate the auditory and speech abilities of children with congenital auditory neuropathy (AN) after cochlear implant (CI), and to analyze the role of genetic testing in predicting the postoperative outcomes of CI in AN patients.Methods:Fourteen children diagnosed with AN by audiological battery test and underwent CI surgery in Xijing Hospital of the Air Force Medical University from 2002 to 2021 were included in this study (9 males and 5 females), with an implantation age of (3.1±1.7) years (mean±standard deviation, the same as follows). The preoperative audiological results and deafness gene results were analyzed. Another 52 children with ordinary sensorineural hearing loss (SNHL) were selected as the control group (30 males and 22 females), with an implantation age of (2.2±0.9) years. The demographic factors such as age and gender were matched with those of the AN group. The modified Category Auditory Performance (CAP-Ⅱ) and Speech Intelligence Rate (SIR) were used to evaluate the development of postoperative auditory and speech abilities in two groups. The Mandarin Speech Test System was used to test the speech recognition rate of monosyllabic and disyllabic words and sentences. Matlab 2022 software was used to analyze the data.Results:The results of gene in 14 children with AN showed that 6 cases had OTOF gene mutations, 2 cases (siblings) were confirmed to have TNN gene mutations through whole exome sequencing, and the remaining 6 cases were not find any clear pathogenic gene mutations. All subjects underwent CI surgery with electrodes implanted into the cochlea smoothly, and there were no postoperative complications. After surgery, all AN children had improved auditory and speech abilities, but only 64% (9/14) of AN children with CI had auditory ability scores comparable to the control group of SNHL children (including 2 children with TNN gene mutations), and 36% (5/14) of AN children had lower scores than the control group of SNHL children.The average speech recognition rate of two children with TNN gene mutations was 86.5%, and of two children with OTOF gene mutations was 83.2%. Conclusions:AN children achieved varying degrees of auditory and speech abilities after CI, but the postoperative effects varied greatly. Some children achieved similar results as ordinary SNHL children, but there were still some children whose effects were worse than those of ordinary SNHL children. The postoperative efficacy of CI in two children with AN caused by TNN pathogenic genes were comparable to that of ordinary SNHL in children. Genetic testing had certain reference value for predicting the postoperative effect of CI in AN children.
4.Analysis of clinical characteristics and risk factors for adverse outcomes in type 2 diabetic mellitus patients with COVID-19
Qianqian YANG ; Shiwei LIU ; Ruixue DUAN ; Wanrong DOU ; Jie YANG ; Xiaoqin CHEN ; Linlin GAO
Chinese Journal of Clinical Nutrition 2024;32(1):35-43
Objective:The purpose of this study is to explore the clinical characteristics of Coronavirus Disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM), and analyze the risk factors for adverse outcomes.Methods:2 052 patients diagnosed with COVID-19 who were hospitalized in Shanxi Bethune Hospital between December 1, 2022 and March 20, 2023 were included. They were divided into diabetes group ( n=70) and non-diabetes group ( n=1 982) according to the presence or absence of comorbid T2DM. The two groups were matched at 1:1 via propensity score matching. Clinical characteristics and laboratory examination results of the two groups were compared. According to the outcomes during hospitalization, the two groups were further divided into two subgroups respectively. Univariate analysis and subsequent binary Logistic regression was used to analyze the risk factors of adverse outcomes in patients with COVID-19 and type 2 diabetes. Results:After the propensity score matching, the most common comorbid condition in diabetes group and non-diabetes group was hypertension. The proportion of patients with severe or critical disease in diabetes group was higher compared with non-diabetes group. The levels of hemoglobin A1c (HbA1c), fasting blood glucose (FBG), blood urea, IL-4, IL-6, IL-10, IFN-γ and TNF-α were significantly higher in the diabetes group ( P<0.05). Logistic regression analysis within the diabetes group showed that hypertension ( OR=3.640, 95% CI: 3.156 to 4.290), FBG>11 mmol/L ( OR=3.283, 95% CI: 1.416 to 7.611), HbA1c>10% ( OR=2.718, 95% CI: 1.024 to 7.213) were independent risk factors for adverse outcomes in patients with COVID-19 and type 2 diabetes(all P<0.05). Conclusions:Compared with the non-diabetes group, patients with COVID-19 and T2DM have worse inflammatory response and higher levels of inflammatory cytokines. The elevated levels of FBG and HbA1c are related to the adverse outcome in patients with COVID-19 and T2DM.
5.Motor imagery EEG classification and recognition based on differential entropy and convolutional neural network
Xiaoqin LIAN ; Mohao CAI ; Chao GAO ; Zhihong LUO ; Yelan WU
Chinese Journal of Medical Physics 2024;41(3):375-381
To address the problem of low accuracy in multi-classification recognition of motor imagery electroencephalogram(EEG)signals,a recognition method is proposed based on differential entropy and convolutional neural network for 4-class classification of motor imagery.EEG signals are extracted into 4 frequency bands(Alpha,Beta,Theta,and Gamma)through the filter,followed by the computation of differential entropy for each frequency band.According to the spatial characteristics of brain electrodes,the data structure is reconstructed into three-dimensional EEG signal feature cube which is input into convolutional neural network for 4-class classification.The method achieves an accuracy of 95.88%on the BCI Competition IV-2a public dataset.Additionally,a 4-class classification motor imagery dataset is established in the laboratory for the same processing,and an accuracy of 94.50%is obtained.The test results demonstrate that the proposed method exhibits superior recognition performance.
6.Research progress on the current status and associated factors of airborne microbial pollution in college campuses
DENG Xunuo, LIU Yuheng, GAO Chunyan, XU Zihua, MA Xuezheng, REN Liping, CHEN Xiaoqin
Chinese Journal of School Health 2024;45(5):751-756
Abstract
Airborne microorganisms, especially pathogenic microorganisms, are easily transmitted through dust and droplets, leading to various infectious diseases. The study summarizes the status of airborne microbial pollution, potential exposure levels, particle size, and species distribution of microorganisms, discusses the impact of airborne microorganisms on human health, and analyzes specific factors affecting campus air microorganisms from four aspects:climate, anthropogenic factors, time, and space, to provide a scientific basis for formulating effective improvement measures, improving air quality and safeguarding the health of teachers and students.
7.The Multicenter Cross-sectional Study on the Distribution Characteristics of Traditional Chinese Medicine Syndrome Elements in Type 2 Diabetes Macroangiopathy
Yulin LENG ; Hong GAO ; Xiaoxu FU ; Gang XU ; Hongyan XIE ; Xingwei ZHUO ; Xiaoqin ZHOU ; Yi YANG ; Xiaoli YUAN ; Zhibiao WANG ; Chunguang XIE
Journal of Traditional Chinese Medicine 2024;65(17):1794-1801
ObjectiveTo explore the distribution characteristics of traditional Chinese medicine (TCM) syndrome elements of macroangiopathy in patients with type 2 diabetes mellitus (T2DM) and the key elements of occurrence, development and progression of disease. MethodsA multicenter cross-sectional study was conducted to enroll 445 T2DM patients from five hospitals, and according to the presence or absence of macroangiopathy, the patients were divided into a T2DM group (120 cases) and a diabetic macroangiopathy (DM) group (325 cases). Patients in DM group were divided into grade Ⅰ, Ⅱ, Ⅲ and Ⅳ according to the peripheral vascular color Doppler ultrasound results and the vascular anomalies classification standard. The general data including gender, age, duration of T2DM and body mass index (BMI) were collected, and the data of four examinations were obtained for syndrome differentiation. According to the diagnostic criteria of TCM syndrome elements, the patients can be divided into 9 patterns including qi deficiency, blood deficiency, yin deficiency, yang deficiency, qi stagnation, blood stasis, excess heat, and excess cold. The general data and distribution of TCM syndrome elements were compared between the two groups. The distribution of TCM syndrome elements in different vascular anomalies grades in the DM group was analyzed. Logistic regression analysis was used to explore the influence of various TCM syndrome elements on the occurrence of macroangiopathy in T2DM. ResultsThere was no significant difference in gender and BMI between groups (P>0.05). The age and duration of diabetes in the DM group were older and longer than those in the T2DM group (P<0.01). With the increase of age and prolonged course of disease, the severity of diabetic macroangiopathy increases gradually (P<0.05 or P<0.01). There was no significant difference in BMI and course of disease among the different TCM syndrome elements (P>0.05). The average age of patients with blood stasis syndrome was the oldest (P<0.05). There was significant difference in gender distribution between the excess heat syndrome and yin deficiency syndrome (P<0.05). A total of 240 TCM syndrome elements were extracted from the T2DM group, while 731 TCM syndrome elements extracted from the DM group. The top two high-frequency syndrome elements in the two groups were qi deficiency and yin deficiency, with a frequency of larger than 50%. The distribution of phlegm-damp syndrome and blood-stasis syndrome were significantly higher in the DM group than in the T2DM group (P<0.01). There were significant differences in the distribution of qi deficiency syndrome, yin deficiency syndrome, phlegm-damp syndrome, blood stasis syndrome, and excess heat syndrome among different grades of vascular anomalies (P<0.01); qi deficiency and yin deficiency were both high-frequency TCM syndrome elements in patients at grades 0 to Ⅲ; phlegm-damp syndrome increased in frequency with the progression of the disease from grades 0 to Ⅳ, and the frequency of blood stasis syndrome showed an overall upward trend. The frequency of phlegm-dampness syndrome increased from grades 0 to Ⅳ with the progression of the disease, and the frequency of blood stasis syndrome showed an overall upward trend. Logistic regression analysis showed that phlegm-damp syndrome and blood stasis syndrome were important TCM syndrome elements related to the vascular anomalies degree of macrovascular disease in T2DM (P<0.05 or P<0.01). ConclusionQi deficiency and yin deficiency are the basic TCM syndrome elements throughout the whole process of T2DM and diabetic macrovascular disease. Phlegm-damp and blood stasis are related to the degree of vascular anomalies in diabetic macrovascular disease and are the key TCM syndrome elements in the progression of macroangiopathy in T2DM.
8.Discussion on Key Technologies of Health Care Big Data Processing Based on the Process Perspective
Jinghong GAO ; Mingxing REN ; Xiaoqin SONG ; Qianqian MA ; Furong LIU ; Chengzeng WANG
Journal of Medical Informatics 2024;45(11):78-84
Purpose/Significance The processing links and key technologies of health care big data are deeply discussed to provide in-formation support and guarantee for further promoting the application of health care big data.Method/Process According to the scientific research paradigm driven by big data,and based on the process perspective,the paper introduces the sources and characteristics of health care big data,analyzes the processing links and key technologies of big data,and discusses the current challenges and future development directions of health care big data processing.Result/Conclusion Both China and foreign countries have achieved innovative development in technologies for health care big data processing.However,there are still some challenges in multi-dimensional data collection,multi-mo-dal data integration,large model data analysis,and data security.In the future,through building a comprehensive platform of big data pro-cessing,and developing or integrating targeted functional modules,the existing problems can be effectively addressed.
9.The mediating role of positive coping style between social support and post-discharge coping difficulty among mothers of premature infants
Yarui ZHAO ; Jin LIU ; Jianli GAO ; Xiaoqin LIU ; Jingjing GONG ; Yun ZHU
Chinese Journal of Practical Nursing 2024;40(30):2379-2385
Objective:To explore the mediating role of positive coping style between social support and post-discharge coping difficulty among mothers of premature infants, so as to provide guidance for medical staff to deeply understand and improve the post-discharge coping difficulty of mothers.Methods:A convenience sampling method was employed to select 310 mothers of premature infants from the neonatal intensive care units of five tertiary level A hospitals in Shandong Province from March to June 2023 as the study population. A cross-sectional survey was conducted using the general information questionnaire, the Social Support Rating Scale, the Simple Coping Style Questionnaire, and the Post-Discharge Coping Difficulty Scale-Parent Form.Results:A total of 280 valid questionnaires were returned, among which the age of mothers was (32.70 ± 5.08) years. The score of social support, positive coping style and post-discharge coping difficulty in mothers of preterm infants was (42.59 ± 7.40), (23.06 ± 6.75) and (3.64 ± 1.74) points respectively. Social support was positively associated with positive coping style ( r=0.404, P<0.01), social support and positive coping style were negatively associated with post-discharge coping difficulty ( r=-0.368, -0.369, both P<0.01). Positive coping style partially mediated the relationship between social support and post-discharge coping difficulty, which accounted for 31.11% of the total effect. Conclusions:Social support can affect post-discharge coping difficulty of mothers of premature infants through positive coping style. Medical staff should pay attention to the enhancement of social support and the cultivation of positive coping style of mothers of premature infants, and take targeted measures to reduce the post-discharge coping difficulty.
10.Differential expression and bioinformatics analysis of microRNAs in exosomes of sheep poxvirus-infected cells
Xiaoqin MA ; Beibei ZHANG ; Hongyu WANG ; Yun GAO ; Lan WANG ; Mingyu HE ; Zhongzheng ZHU ; Xiaoshan CHAO ; Ying WANG ; Juntao DING
Korean Journal of Veterinary Research 2024;64(4):e23-
Sheep pox is widespread worldwide and is the most severe animal pox virus infection. This study aimed to identify the key microRNAs (miRNAs) differentially expressed in the exosomes of sheep poxvirus-infected cells and their target genes and related pathways and provide a theoretical basis for an in-depth understanding of the molecular mechanisms of sheep poxvirus-infected cells. In this study, the differentially expressed miRNAs were verified by quantitative polymerase chain reaction (qPCR), and the target genes of miRNAs were predicted and analyzed by bioinformatics. The qPCR results showed that the expression trends of oar-miR-21, oar-miR-10b, oar-let-7f, oar-let-7b, and oar-miR-221 were consistent with the sequencing results. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes results showed that differentially expressed miRNAs were mainly involved in the immune system processes of the Arf6 downstream pathway. The target genes Reactome pathways were mainly enriched in the RAC1 GTPase cycle, CDC42 GTPase cycle, RHO GTPase cycle, RHOV GTPase cycle, and post-transcriptional silencing of small RNAs. The transcription factors SP4, NKX6-1, MEF2A, SP1, EGR1, and POU2F1 that may be connected to sheep pox virus (SPPV)-infected cells were discovered by transcription factor annotation screening. In conclusion, this study screened for differentially expressed miRNAs in SPPV-infected cells and performed a series of bioinformatic analyses of their target genes to provide a theoretical basis for the molecular mechanism of sheep pox virus infections of cells. The data can be used as basic information in future studies on the defense mechanisms against poxvirus infections.


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