1.Effectiveness and Safety of Edaravone Combined with Oxiracetam in the Treatment of Acute Cerebral Infarction:A Meta-analysis
Shuai LIAN ; Zhongliang MA ; Yang LIU
Journal of Medical Research 2024;53(1):50-55
Objective To evaluate the effectiveness and safety of edaravone combined with oxiracetam in the treatment of acute cere-bral infarction.Methods PubMed,Embase,Cochrane Library,CNKI,Wanfang Data and other databases were comprehensively searched from database inception until October 27,2022,to collect randomized controlled trials of edaravone combined with oxiracetam in the treatment of acute cerebral infarction(ACI).RevMan5.4software was used to analyze the collected data.Results A total of9studies involving 887 patients were included.Meta-analysis results showed that the overall effective rate and Barthel index in the observation group were significantly higher than those in the control group(OR=4.66,95%CI:2.74-7.93,P<0.001;MD=14.57,95%CI:8.58-20.56,P<0.001),the NIHSS scores in the observation group were significantly lower than that in the control group(MD=-5.28,95%CI:-6.42--4.13,P<0.001).There was no significant difference in adverse effect rate between the two groups(RR=1.11,95%CI:0.63-1.95,P=0.72).Conclusion The combination of edaravone and oxiracetam in the treatment of ACI can significantly reduce NIHSS scores,and improve Barthel index and overall effective rate.The efficacy is better than edaravone alone,and a more comprehensive evaluation of safety is needed in the future.
2.Retrospective analysis of prognostic factors in patients with advanced gastric cancer
Zhendong DUAN ; Junhua HU ; Zhongliang LIU ; Jing ZHOU
China Modern Doctor 2024;62(22):67-71
Objective To analyze the risk factors affecting the prognosis of patients with advanced gastric cancer,so as to provide evidence for identifying high-risk populations and guiding clinical treatment.Methods The clinical data of 282 patients with advanced gastric cancer who admitted to Zhoushan Hospital of Traditional Chinese Medicine from January 2017 to December 2021 were retrospectively analyzed.The survival outcome of patients was obtained by telephone follow-up and regular review.Kaplan-Meier method was used to analyze the overall survival(OS).Univariate and multivariate COX regression models were used to analyze the effects of clinical features on OS in patients with advanced gastric cancer.Results The median OS of 282 patients with advanced gastric cancer was 10.0 months.Univariate analysis showed that first-line chemotherapy,traditional Chinese medicine treatment,body mass index(BMI),Karnofsky performance status(KPS)score,hemoglobin(Hb)and albumin(Alb)were significantly correlated with the survival of patients with advanced gastric cancer(P<0.05).Multivariate COX regression models analysis showed that first-line chemotherapy,BMI,KPS score and Alb were independent risk factors affecting the survival of patients with advanced gastric cancer(P<0.05).Conclusion BMI,Alb,KPS score and first-line chemotherapy are independent risk factors for predicting the prognosis of patients with advanced gastric cancer,indicating nutrition management may be an important way to improve the outcome of patients with advanced gastric cancer.
3.Spatial and temporal expression pattern of somatostatin receptor 2 in mouse.
Mingchuan TANG ; Chuan LIU ; Rongyu LI ; Huisang LIN ; Yanli PENG ; Yiming LANG ; Kecao SU ; Zhongliang XIE ; Mingyue LI ; Xiao YANG ; Guan YANG ; Xinjiong FAN ; Yan TENG
Chinese Journal of Biotechnology 2023;39(7):2656-2668
Somatostatin (SST) is an inhibitory polypeptide hormone that plays an important role in a variety of biological processes. Somatostatin receptor 2 (SSTR2) is the most widely expressed somatostatin receptor. However, the specific cell types expressing Sstr2 in the tissues have not been investigated. In this study, we detected the expression pattern of SSTR2 protein in mouse at different development stages, including the embryonic 15.5 days and the postnatal 1, 7, 15 days as well as 3 and 6 months, by multicolour immunofluorescence analyses. We found that Sstr2 was expressed in some specific cells types of several tissues, including the neuronal cells and astrocytes in the brain, the mesenchymal cells, the hematopoietic cells, the early hematopoietic stem cells, and the B cells in the bone marrow, the macrophages, the type Ⅱ alveolar epithelial cells, and the airway ciliated cells in the lung, the epithelial cells and the neuronal cells in the intestine, the hair follicle cells, the gastric epithelial cells, the hematopoietic stem cells and the nerve fibre in the spleen, and the tubular epithelial cells in the kidney. This study identified the specific cell types expressing Sstr2 in mouse at different developmental stages, providing new insights into the physiological function of SST and SSTR2 in several cell types.
Mice
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Animals
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Receptors, Somatostatin/metabolism*
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Hematopoietic Stem Cells/metabolism*
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Epithelial Cells
4.A multimodal medical image contrastive learning algorithm with domain adaptive denormalization.
Han WEN ; Ying ZHAO ; Xiuding CAI ; Ailian LIU ; Yu YAO ; Zhongliang FU
Journal of Biomedical Engineering 2023;40(3):482-491
Recently, deep learning has achieved impressive results in medical image tasks. However, this method usually requires large-scale annotated data, and medical images are expensive to annotate, so it is a challenge to learn efficiently from the limited annotated data. Currently, the two commonly used methods are transfer learning and self-supervised learning. However, these two methods have been little studied in multimodal medical images, so this study proposes a contrastive learning method for multimodal medical images. The method takes images of different modalities of the same patient as positive samples, which effectively increases the number of positive samples in the training process and helps the model to fully learn the similarities and differences of lesions on images of different modalities, thus improving the model's understanding of medical images and diagnostic accuracy. The commonly used data augmentation methods are not suitable for multimodal images, so this paper proposes a domain adaptive denormalization method to transform the source domain images with the help of statistical information of the target domain. In this study, the method is validated with two different multimodal medical image classification tasks: in the microvascular infiltration recognition task, the method achieves an accuracy of (74.79 ± 0.74)% and an F1 score of (78.37 ± 1.94)%, which are improved as compared with other conventional learning methods; for the brain tumor pathology grading task, the method also achieves significant improvements. The results show that the method achieves good results on multimodal medical images and can provide a reference solution for pre-training multimodal medical images.
Humans
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Algorithms
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Brain/diagnostic imaging*
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Brain Neoplasms/diagnostic imaging*
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Recognition, Psychology
5.The practice and exploration of the new teacher training mode of MOOC and micro-course club
Haina ZHANG ; Guangmeng XU ; Ye CHEN ; Zhongliang LIU ; Hongyan BAO ; Lixin GUO ; Wenmao LI ; Hao WU ; Qian CAO ; Yanguo QIN
Chinese Journal of Medical Education Research 2023;22(5):716-719
This study summarizes the construction background, rules and regulations and institutional settings of the MOOC and Micro-course Club in the Second Hospital of Jilin University, discusses the means of teacher training for clinical teachers, and shows the application effect of the club. At the same time, the related problems encountered in the process of club construction are summarized and reflected. The construction of MOOC and micro-course clubs is conducive to improving the information-based teaching level of clinical teachers, and also provides new inspiration and ideas for the construction of medical clubs.
6.Microplastics pollution in the Yellow River basin: current status and control strategy.
Zan LIU ; Zhongliang SUN ; Liang SHI ; Qiang WANG
Chinese Journal of Biotechnology 2023;39(2):488-499
Microplastics pollution has attracted worldwide attention. Compared with the status quo of microplastics pollution in marine environment and other major rivers and lakes, the relevant data of the Yellow River basin is relatively inadequate. The abundance, types, and spatial distribution characteristics of microplastic pollution in the sediments and surface water of the Yellow River basin were reviewed. Meanwhile, the status of microplastic pollution in the national central city and Yellow River Delta wetland was discussed, and the corresponding prevention and control measures were put forward. The results showed that the spatial distribution of microplastics pollution in sediments and surface water of the Yellow River basin increased from upstream to downstream, especially in the Yellow River Delta wetland. There are obvious differences between the types of microplastics in sediment and surface water in the Yellow River basin, which is mainly related to the materials of microplastics. Compared with similar regions in China, the microplastics pollution levels in national key cities and national wetland parks in the Yellow River basin are in the medium to high degree, which should be taken seriously. Plastics exposure through various ways will cause serious impact on aquaculture and human health in the Yellow River beach area. To control microplastic pollution in the Yellow River basin, it is necessary to improve the relevant production standards, laws and regulations, and improve the capacity of biodegradable microplastics and the degradation capacity of plastic wastes.
Humans
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Microplastics
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Plastics
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Water Pollutants, Chemical/analysis*
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Environmental Monitoring/methods*
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Water
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China
7.Hepatocellular carcinoma segmentation and pathological differentiation degree prediction method based on multi-task learning.
Han WEN ; Ying ZHAO ; Yong YANG ; Hongkai WANG ; Ailian LIU ; Yu YAO ; Zhongliang FU
Journal of Biomedical Engineering 2023;40(1):60-69
Hepatocellular carcinoma (HCC) is the most common liver malignancy, where HCC segmentation and prediction of the degree of pathological differentiation are two important tasks in surgical treatment and prognosis evaluation. Existing methods usually solve these two problems independently without considering the correlation of the two tasks. In this paper, we propose a multi-task learning model that aims to accomplish the segmentation task and classification task simultaneously. The model consists of a segmentation subnet and a classification subnet. A multi-scale feature fusion method is proposed in the classification subnet to improve the classification accuracy, and a boundary-aware attention is designed in the segmentation subnet to solve the problem of tumor over-segmentation. A dynamic weighted average multi-task loss is used to make the model achieve optimal performance in both tasks simultaneously. The experimental results of this method on 295 HCC patients are superior to other multi-task learning methods, with a Dice similarity coefficient (Dice) of (83.9 ± 0.88)% on the segmentation task, while the average recall is (86.08 ± 0.83)% and an F1 score is (80.05 ± 1.7)% on the classification task. The results show that the multi-task learning method proposed in this paper can perform the classification task and segmentation task well at the same time, which can provide theoretical reference for clinical diagnosis and treatment of HCC patients.
Humans
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Carcinoma, Hepatocellular
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Liver Neoplasms
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Learning
8.Efficacy and safety of bendamustine-rituximab combination therapy for newly diagnosed indolent B-cell non-Hodgkin's lymphoma and elderly mantle cell lymphoma: a multi-center prospective phase II clinical trial in China
Hui WANG ; Qiang HE ; Dan LIU ; Xiuzhi DENG ; Ji MA ; Linna XIE ; Zhongliang SUN ; Cong LIU ; Rongrong ZHAO ; Ke LU ; Xiaoxia CHU ; Na GAO ; Haichen WEI ; Yanhua SUN ; Yuping ZHONG ; Lijie XING ; Haiyan ZHANG ; Hao ZHANG ; Wenwei XU ; Zengjun LI
Chinese Journal of Hematology 2023;44(7):550-554
Objectives:This study aimed to assess the efficacy and safety of bendamustine in combination with rituximab (BR regimen) for the treatment of newly diagnosed indolent B-cell non-Hodgkin's lymphoma (B-iNHL) and elderly mantle cell lymphoma (eMCL) .Methods:From December 1, 2020 to September 10, 2022, a multi-center prospective study was conducted across ten Grade A tertiary hospitals in Shandong Province, China. The BR regimen was administered to evaluate its efficacy and safety in newly diagnosed B-iNHL and eMCL patients, and all completed at least four cycles of induction therapy.Results:The 72 enrolled patients with B-iNHL or MCL were aged 24-74 years, with a median age of 55 years. Eastern Cooperative Oncology Group (ECOG) performance status scores of 0-1 were observed in 76.4% of patients, while 23.6% had scores of 2. Disease distribution included follicular lymphoma (FL) (51.4% ), marginal zone lymphoma (MZL) (33.3% ), eMCL (11.1% ), and the unknown subtype (4.2% ). According to the Ann Arbor staging system, 16.7% and 65.3% of patients were diagnosed with stage Ⅲ and stage Ⅳ lymphomas, respectively. Following four cycles of BR induction therapy, the overall response rate was 98.6%, with a complete response (CR) rate of 83.3% and a partial response (PR) rate of 15.3%. Only one eMCL patient experienced disease progression during treatment, and only one FL patient experienced a relapse. Even when evaluated using CT alone, the CR rate was 63.9%, considering the differences between PET/CT and CT assessments. The median follow-up duration was 11 months (range: 4-22), with a PFS rate of 96.8% and an OS rate of 100.0%. The main hematologic adverse reactions included grade 3-4 leukopenia (27.8%, with febrile neutropenia observed in 8.3% of patients), grade 3-4 lymphopenia (23.6% ), grade 3-4 anemia (5.6% ), and grade 3-4 thrombocytopenia (4.2% ). The main non-hematologic adverse reactions such as fatigue, nausea/vomiting, rash, and infections occurred in less than 20.0% of patients.Conclusion:Within the scope of this clinical trial conducted in China, the BR regimen demonstrated efficacy and safety in treating newly diagnosed B-iNHL and eMCL patients.
9.Research advances in cytokines in the treatment of chronic hepatitis B
Zixiang GAO ; Zhongliang SHEN ; Jing LIU ; Youhua XIE
Journal of Clinical Hepatology 2022;38(8):1710-1715
At present, there are still about 250 million people with chronic hepatitis B virus (HBV) infection around the world, which seriously threatens human life and health. Chronic hepatitis B (CHB) can develop into liver diseases such as liver fibrosis, liver cirrhosis, and hepatocellular carcinoma; however, there is still a limited number of antiviral drugs and an extremely low cure rate in clinical practice, and thus it is urgent to develop new antiviral drugs. HBV has strong hepatotropism and only infects a few primates such as humans and chimpanzees under natural conditions. Whether immune response (innate immunity and adaptive immunity) can effectively recognize and eliminate or inhibit HBV is an important factor leading to different outcomes after virus infection, and cytokines play an important immunoregulatory role in this process. This article summarizes and discusses the research advances in some key cytokines in CHB infection and treatment.
10.Physical activity status of children and adolescents in Tujia inhabited areas
XU Suhua,ZHANG Yan, WU Peng, SUN Guilong, SONG Zhongliang, ZHENG Tao, JI Hongjing, LIU Wenlong
Chinese Journal of School Health 2022;43(10):1544-1546
Objective:
To understand physical activity status of children and adolescents in Tujia inhabited areas, and to provide reference for the intervention model of physical activity of children and adolescents in minority areas.
Methods:
A cluster sample of 2 466 Tujia pupils from two primary schools in Lichuan City, Enshi Tujia and Miao Autonomous Prefecture of Hubei Province was selected to investigate physical activity status of Tujia pupils. The univariate χ 2 test was used to analyze the physical activity status of Tujia children and adolescents and its influencing factors.
Results:
The median duration of high intensity activity was 49.9 minutes/day in the last week, and 47.93% of participants met the physical activity standard( χ 2=80.47, P <0.01), the median duration of sitting was 396.1 minutes/day in the last week, and the qualified rate of screen time was 78.99%, and the differences of qualified rate between daystudents and residential students were of statistical differences( χ 2=35.12, P <0.01)).
Conclusion
The children and adolescents in the Tujia community are lack of physical activity. Therefore, it is necessary to take effective intervention measures to pay attention to the children and adolescents physical activity.


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