1.Diagnosis and treatment of heterotopic pancreas:9 cases
Huaming TANG ; Shiqiao LUO ; Peng ZHANG ; Jifan XU ; Qianmei FU
Chinese Journal of Endocrine Surgery 2016;10(4):350-352
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2.Retrospective analysis of perioperative anaphylactic shock induced by cefuroxime
Meifang CHEN ; Jifan ZHANG ; Xiaolei REN ; Yi LIU ; Lin HUANG
Chinese Journal of Internal Medicine 2024;63(4):406-411
This study investigated the characteristics and frequency of perioperative anaphylactic shock induced by cefuroxime, so as to provide a reference for the safe and rational use of cefuroxime in the perioperative period. Cases of perioperative anaphylactic shock caused by cefuroxime in our hospital from 2011 to 2021 were extracted from the Adverse Drug Reaction Monitoring System. Literature reporting adverse drug reactions (ADR) including cefuroxime-induced anaphylactic shock in perioperative settings was collected from the CNKI, VIP, Wanfang, PubMed, and Web of Science databases from their respective inception to May 2022. Statistical analysis was performed for all cases of cefuroxime-induced perioperative anaphylactic shock. A total of 31 patients were included [13 men (48.1%) and 14 women (51.9%)], most of whom were over 60 years old ( n=16, 59.3%); 9 (29.0%) patients had a history of drug allergy; 5 (16.1%) patients had received skin tests, but with negative results; 28 (90.3%) patients received treatment intravenously; 22 (71.0%) patients were treated after anesthesia. For 20 (64.5%) patients the ADR occurred within 10 minutes after anesthesia. The main manifestations were hypotension, dyspnea, rash, and tachycardia. For all patients, symptoms resolved after withdrawal of the drug and active rescue, and there were no deaths. A history of allergy and skin test findings may have limitations in predicting perioperative anaphylactic shock caused by cefuroxime; greater vigilance should be exercised when using cefuroxime in the perioperative period. Close monitoring is recommended for patients undergoing treatment with cefuroxime. Rescue therapy should be administered for allergic shock, and suitable response measures must be taken in a timely manner to ensure the safety of patients.
3. Clinical phenotypes of hepatocyte nuclear factor 1 homeobox b-associated disease
Fang WANG ; Yong YAO ; Huixia YANG ; Chunyan SHI ; Xiaoxiao ZHANG ; Huijie XIAO ; Hongwen ZHANG ; Baige SU ; Yanqin ZHANG ; Jifan GUO ; Jie DING
Chinese Journal of Pediatrics 2017;55(9):658-662
Objective:
Hepatocyte nuclear factor 1 homeobox b (HNF1B) -associated disease is an autosomal dominant inherited disorder with a variable, multi-systemic phenotype. In China, five adult probands and one child proband with HNF1B-associated disease had been reported, whereas few fetuses are described. The aims of this retrospective study were to understand about the clinical manifestations of HNF1B-associated disease and to further improve the recognition of this disorder.
Method:
Four patients (3 males, 1 female) and three fetuses with HNF1B mutations were included in this study. They were admitted to our hospital from January 2013 to March 2017. HNF1B mutations were detected using targeted next generation sequencing and quantitative real-time PCR or Sanger sequencing. HNF1B heterozygous deletion of exons 1-9 was found in 4 patients and 2 fetuses, and HNF1B heterozygous missense mutation in 1 fetus. These two mutations had been reported. Two patients and 1 fetus had
4.Comparison of the etiological constitution of two and three or more recurrent miscarriage
Limei ZHANG ; Yanning YANG ; Ruixiao ZHANG ; Lu LUO ; Jifan TAN ; Li ZHOU ; Qiong WANG ; Canquan ZHOU
Chinese Journal of Obstetrics and Gynecology 2018;53(12):855-859
Objective To compare the etiological constitution of recurrent miscarriage (RM) between patients with consecutive two and three or more miscarriages through combining the routine examination results and embryonic karyotype. Methods Patients with a history of two or more consecutive clinical miscarriages(≤12 weeks of gestation)consulting in the RM clinic of the First Affiliated Hospital of Sun Yat-sen University from March 2011 to January 2016 were collected. Six hundred and ninety-six with detailed history recorded, routine clinical examinations of RM and at least once embryonic karyotype were ultimately enrolled in this study. Their etiological constitution of RM were analyzed in groups of consecutive two and three or more miscarriage. The etiologies of RM in analysis consisted of women age, body mass index (BMI), chromosome abnormalities of couples, uterine abnormalities, endocrinology abnormalities and antiphospholipid syndrome(APS). Results (1)Among 696 patients, the abnormal embryonic karyotypes was 60.6%(422/696)and routine RM etiologies was 32.2%(224/696), leaving the ratio of unexplained RM was only 29.0%(202/696).(2)A total of 717 embryo karyotype were found in 696 patients, included 21 cases with twice embryo karyotype results the percentage of normal embryo was 39.7%(285/717), while abnormal ones was 60.3%(432/717). Among the types of abnormal karyotype, the most common ones (>10%)were trisomy 16(19.2%, 83/432), monosome X(11.3%, 49/432)and trisomy 22(10.9%, 47/432). (3)Among the 696 RM patients, the number of two and three or more miscarriages were respectively 446(64.1%,446/696)and 250(35.9%,250/696). Comparing groups of three or more miscarriages with two miscarriages, there were significant differencein older age as well as uterine adhesion(P<0.05). But no difference was found in body mass index(BMI), the rates of chromosome abnormalities of couples, uterine abnormalities except uterine adhesion, endocrinology abnormalities and APS (all P>0.05) between two groups. Conclusions The abnormal embryonic karyotype is the most common cause of first-trimester RM. The etiological constitution of two and three or more recurrent miscarriages is accordant, suggesting that routine clinical examination and the embryonic karyotype should be started following two consecutive clinical early miscarriages.
5.The study on the segmentation of carotid vessel wall in multicontrast MR images based on U?Net neural network
Jifan LI ; Shuo CHEN ; Qiang ZHANG ; Yan SONG ; Canton GADOR ; Jie SUN ; Dongxiang XU ; Xihai ZHAO ; Chun YUAN ; Rui LI
Chinese Journal of Radiology 2019;53(12):1091-1095
Objective To investigate the value of automatic segmentation of carotid vessel wall in multicontrast MR images using U?Net neural network. Methods Patients were retrospectively collected from 2012 to 2015 in Carotid Atherosclerosis Risk Assessment (CARE II) study. All patients who recently suffered ischemic stroke and/or transient ischemic attack underwent identical, state?of?the?art multicontrast MRI technique. A total of 17 568 carotid vessel wall MR images from 658 subjects were included in this study after inclusion criteria and exclusion criteria. All MR images were analyzed using customized analysis platform (CASCADE). Randomly, 10 592 images were assigned into training dataset, 3 488 images were assigned into validating dataset and 3 488 images were assigned into test dataset according to a ratio of 6∶2∶2. Data augmentation was performed to avoid over fitting and improve the ability of model generalization. The fine?tuned U?Net model was utilized in the segmentation of carotid vessel wall in multicontrast MR images. The U?Net model was trained in the training dataset and validated in the validating dataset. To evaluate the accuracy of carotid vessel wall segmentation, the sensitivity, specificity and Dice coefficient were used in the testing dataset. In addition, the interclass correlation and the Bland?Altman analysis of max wall thickness and wall area were obtained to demonstrate the agreement of the U?Net segmentation and the manual segmentation. Results The sensitivity, specificity and Dice coefficient of the fine?tuned U?Net model achieved 0.878,0.986 and 0.858 in the test dataset, respectively. The interclass correlation (95% confidence interval) was 0.921 (0.915-0.925) for max wall thickness and 0.929 (0.924-0.933) for wall area. In the Bland?Altman analysis, the difference of max wall thickness was (0.037±0.316) mm and the difference of wall area was (1.182±4.953) mm2. The substantial agreement was observed between U?Net segmentation method and manual segmentation method. Conclusion Automatic segmentation of carotid vessel wall in multicontrast MR images can be achieved using fine?tuned U?Net neural network, which is trained and tested in the large scale dataset labeled by professional radiologists.
6.Interleukin-4 regulates macrophage polarization and osteogenic differentiation of bone marrow mesenchymal stem cells
Jie ZHANG ; Tianjiao XIAO ; Li LI ; Jiabing KANG ; Jifan ZHAN ; Yan WEI ; Ai TIAN
Chinese Journal of Tissue Engineering Research 2024;28(25):3960-3966
BACKGROUND:Interleukin-4 can promote the osteogenic effect of bone substitute materials,but its molecular mechanism is not yet clear.Further elucidating the mechanism of interleukin-4 promoting osteogenic effect can help find safe,economical,and effective methods for the regeneration treatment of alveolar bone defects in patients. OBJECTIVE:To explore the effect of interleukin-4 intervention on polarization transformation of macrophages and osteogenic differentiation of bone marrow mesenchymal stem cells and its possible mechanism. METHODS:RAW264.7 cells in the M1 group were induced with interferon gamma + lipopolysaccharide for 24 hours.RAW264.7 cells in the interleukin-4+M1 group were induced with interferon gamma + lipopolysaccharide for 24 hours and then interleukin-4 was added for 24 hours.RAW264.7 cells in the interleukin-4+AG+M1 group were induced with interferon gamma + lipopolysaccharide for 24 hours,and then interleukin-4 and AG-490,a JAK/STAT pathway inhibitor,were added for 24 hours.After intervention,immunofluorescence staining was used to analyze the expression of inducible nitric oxide synthase and CD206,the phenotypic marker protein of macrophages.ELISA kit was used to detect the expression of interleukin-10 and tumor necrosis factor-α in the supernatant of cell culture.The gene expressions of nodular receptor protein-3(NLRP3),interleukin-1β,and caspase-1 were detected by RT-qPCR.The expression levels of tyrosine protein kinase 1(JAK1)/phosphorylated tyrosine protein kinase 1(p-JAK1),signal transduction and transcription activator 6(STAT6)/phosphorylated signal transduction and transcription activator 6(p-STAT6),NLRP3,pro-interleukin-1β and pro-caspase-1 were detected by western blot assay.Then,RAW264.7 cells in the above four groups were indirectly co-cultured with bone marrow mesenchymal stem cells by transwell for 24 hours,followed by alkaline phosphatase staining and alizarin red staining.The mRNA expressions of alkaline phosphatase,collagen type I,and osteocalcin were detected by RT-qPCR. RESULTS AND CONCLUSION:(1)Immunofluorescence and ELISA results showed that interleukin-4 intervention could promote the expression of CD206 and interleukin-10 in M2 macrophages,and inhibit the secretion of inducible nitric oxide synthase and tumor necrosis factor-α.(2)RT-qPCR results showed that interleukin-4 could suppress the expression of NLRP3,interleukin-1β,and caspase-1 mRNAs.(3)Western blot assay showed that interleukin-4 could promote the expression of JAK1/p-JAK1,STAT6/p-STAT6 and NLRP3 proteins.(4)The alkaline phosphatase staining and alizarin red staining of bone marrow mesenchymal stem cells co-cultured with the interleukin-4+M1 group were significantly enhanced,and the mRNA expressions of alkaline phosphatase,collagen type I,and osteocalcin were significantly increased.It is concluded that interleukin-4 may inhibit the activation of NLRP3 by up-regulating JAK1/STAT6 pathway,thus promoting the transformation of macrophages from M1 polarization to M2 polarization,and finally enhancing the osteogenic differentiation ability of bone marrow mesenchymal stem cells.
7.Effect and safety of Liqing granules in assisting to reduce serum uric acid in rats
Peili HU ; Jifan ZHENG ; Shibo LIU ; Luyong ZHANG ; Ting LIU ; Libo MA ; Li ZHANG ; Bo LI
Shanghai Journal of Preventive Medicine 2023;35(12):1253-1258
ObjectiveTo establish a rat model of hyperuricemia (HUA), to study the effect of Liqing granules on lowering serum uric acid, and to evaluate its safety . MethodsMale SD rats were randomly divided into solvent control group and model group according to their body weight. For the model group, serum uric acid (SUA) was determined after 7 days of intra-gastric administration of potassium oxyazinate. The model group were randomly divided into model control group, positive control group, and low, medium, high dose group based on SUA level. Each group from the model group continued to receive potassium oxyazinate in the morning. The animals in the model groups received 0.5% CMC-Na, 10 mg·kg-1 benzbromarone (Doses by body weight) and Liqing granules 0.6, 1.2, 2.4 g·kg-1 (Doses by body weight), respectively in the afternoon. 0.5% CMC-Na suspension with the same volume was given both in the morning and afternoon for the solvent control group. Levels of SUA, creatinine (CREA), alanine aminotransferase (ALT) and aspartate transaminase (AST) were determined after 32 and 45 days administration of the test substance. ResultsSUA of the model group was (218±23) μmol·L-1 after 7 days of modeling, which was significantly higher than that of the solvent control group (P<0.001). After 32 days administration of the test substance, SUA didn’t significantly decrease in each dose group (P>0.05). CREA in the medium and high dose groups significantly decreased (P<0.05). After 45 days administration of the test substance, SUA in each dose group was significantly decreased (P<0.001), but CREA, ALT, and AST were not significantly different in each dose group in comparison with the model control group (P>0.05). ConclusionLiqing granules can assist in lowering blood serum uric acid in the rat HUA model, and no damage to liver and kidney function is found.
8. The study on the segmentation of carotid vessel wall in multicontrast MR images based on U-Net neural network
Jifan LI ; Shuo CHEN ; Qiang ZHANG ; Yan SONG ; Gador CANTON ; Jie SUN ; Dongxiang XU ; Xihai ZHAO ; Chun YUAN ; Rui LI
Chinese Journal of Radiology 2019;53(12):1091-1095
Objective:
To investigate the value of automatic segmentation of carotid vessel wall in multicontrast MR images using U-Net neural network.
Methods:
Patients were retrospectively collected from 2012 to 2015 in Carotid Atherosclerosis Risk Assessment (CARE II) study. All patients who recently suffered ischemic stroke and/or transient ischemic attack underwent identical, state-of-the-art multicontrast MRI technique. A total of 17 568 carotid vessel wall MR images from 658 subjects were included in this study after inclusion criteria and exclusion criteria. All MR images were analyzed using customized analysis platform (CASCADE). Randomly, 10 592 images were assigned into training dataset, 3 488 images were assigned into validating dataset and 3 488 images were assigned into test dataset according to a ratio of 6∶2∶2. Data augmentation was performed to avoid over fitting and improve the ability of model generalization. The fine-tuned U-Net model was utilized in the segmentation of carotid vessel wall in multicontrast MR images. The U-Net model was trained in the training dataset and validated in the validating dataset. To evaluate the accuracy of carotid vessel wall segmentation, the sensitivity, specificity and Dice coefficient were used in the testing dataset. In addition, the interclass correlation and the Bland-Altman analysis of max wall thickness and wall area were obtained to demonstrate the agreement of the U-Net segmentation and the manual segmentation.
Results:
The sensitivity, specificity and Dice coefficient of the fine-tuned U-Net model achieved 0.878,0.986 and 0.858 in the test dataset, respectively. The interclass correlation (95% confidence interval) was 0.921 (0.915-0.925) for max wall thickness and 0.929 (0.924-0.933) for wall area. In the Bland-Altman analysis, the difference of max wall thickness was (0.037±0.316) mm and the difference of wall area was (1.182±4.953) mm2. The substantial agreement was observed between U-Net segmentation method and manual segmentation method.
Conclusion
Automatic segmentation of carotid vessel wall in multicontrast MR images can be achieved using fine-tuned U-Net neural network, which is trained and tested in the large scale dataset labeled by professional radiologists.
9.Research Progress in Distinguishing Methods of Simultaneous Multiple Primary Lung Cancer and Intrapulmonary Metastasis.
Jifan WANG ; Te ZHANG ; Hanlin DING ; Gaochao DONG ; Lin XU ; Feng JIANG
Chinese Journal of Lung Cancer 2021;24(5):365-371
Multiple primary lung cancer (MPLC) refers to lung cancer in which two or more primary lesions occurred simultaneously or successively in different parts of the same patient's lungs. The diagnosis interval is 6 months. MPLC is divided into synchronous MPLC (sMPLC) and metachronous MPLC (mMPLC). sMPLC and intrapulmonary metastasis (IM) are different in treatment strategies and prognosis. However, there are many controversies about the distinction between the two in clinical practice. This article summarizes the current main methods of diagnosing MPLC, and focuses on the latest research progress in distinguishing MPLC from IM. It aims to provide a theoretical basis for accurate diagnosis and treatment of patients with multifocal lung cancer.
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