1.THE DEVELOPMENT OF INNERVATIONS OF SINOATRIAL NODE IN THE FETUSES
Guangqi HOU ; Yuchun CAO ; Fuquan LIU
Acta Anatomica Sinica 1953;0(01):-
The development of innervations of sinoatrial node in 14 fetuses and two new borns was studied by Faworsky's silver impregnation technique and the results were summarized as follows:1. The ganglia and rich nerve fibers can be observed within the sinoatrial node in approximately 16-week old fetus. It was found that in 16 to 20-week old fetus there were more nerve ganglia within the node than in the subepicardial region.2. After 24 week, the nerve ganglia of the subepicardial region were divided in to two groups, i. e, the superficial and profund groups. Their number were larger than that of the peripheral ground around the artery in the node. The nerve bun-dles were thinker and richer.3. The nerve ganglionic cells with two or more nuclei were frequently found within sinoatrial node of fetuses and new borns but are rare in adults. The size of the nerve ganglion cells in the early stages of fetuses is various but they become more similar in size with the advancing age of the fetus towards maturity.
2.Formulation Optimization of Propranolol Hydrochloride Gels by Central Composite Design-Response Surface Methodology
Liu YANG ; Aiwu WANG ; Guangqi XU ; Ran HUO
Herald of Medicine 2015;(10):1343-1346
Objective To optimize the matrix formula of propranolol hydrochloride gels. Methods On the basis of single factor experiment, central composite design-response surface method was used to optimize the formula. Addition levels of glycerol (A), PEG-400 (B) and HPMC (C) were evaluated as the independent variables.Eight-hour accumulative penetration amount per unit area measured by HPLC was used as the index. Quadratic polynomial was used to estimate the relationship between the index and the independent variables, and to delineate response surface and overlay contour plots in order to select the optimal formulations.Finally, predicted responses were verified. Results The optimized formula consisted of 18.53% glycerol, 8.54% PEG-400 and 2.35% HPMC.The quadratic polynomial regression model of 8-h accumulative penetration amount per unit area:R1=-7 415. 69+306. 10A+167. 47B+4 820. 59C-8. 26A2-9. 81B2-1 025. 75C2 , and the cumulative transmittance was 49.6%. Conclusion A credible model is established by using central composite design-response surface method and the formula of propranolol hydrochloride gels is optimized and the gel is stable and controllable.
3.Mental disorder and its risk factors in first degree relatives of patients with type 2 diabetes mellitus
Guangqi LI ; Lintao SHI ; Ting XIAO ; Dongping CAO ; Yanjun LIU
Chinese Journal of Health Management 2011;05(1):46-49
Objective To investigate the incidence and the risk factors of anxiety or depression and in the first degree relatives (FDRs) of patients with type 2 diabetes mellitus ( T2DM ). Methods A total of 102 T2DM patients who visited our hospital from May to July 2010 and their FDRs completed SAS,SDS,and life satisfaction evaluation. The medical history of T2DM patients was collected and compared with their FDRs with or without mental disorders. The correlations of risk factors with anxiety or depression were analyzed, t test or X2 test were used for statistical analysis and a P value less than 0. 05 was considered statistically significant. Results The incidence of anxiety or depression of FDRs was 31.4% and 17.6%,respectively. The life satisfaction score of FDRs with mental disorders was significantly decreased ( t = 4. 26 and 4. 09, P<0. 05 ). Fasting glucose level of T2DM patients with anxious or depressive FDRs was significantly increased ( t = -2. 48 and -2. 15, P<0. 05 ). Higher medical cost and multiple treatment strategies were positively correlated with SAS and SDS score of the FDRs. Conclusion Higher incidence of mental disorders and lower satisfaction scores could be found in the FDRs of T2DM patients. Better control of blood glucose and reduced treatment cost and strategies may be useful in improving metal condition and life satisfaction of the FDRs of T2DM patients.
4.The slow release performance of calcium sulfate/poly(amino acid) compound materials carrying triple anti-tuberculosis drugs in a rabbit model of spinal tuberculosis
Qian WANG ; Guangqi GENG ; Xiaoming CONG ; Haitao LIU ; Jiandang SHI ; Zili WANG ; Wenxin MA ; Yuhang SUN
Chinese Journal of Tissue Engineering Research 2017;21(10):1520-1526
BACKGROUND: Calcium sulfate/poly amino acid compound materials carrying triple anti-tuberculosis drugs have been proved to have excellent slow release performance based on our preliminary studies on the physical and chemical properties and the release properties of the compound materials.OBJECTIVE: To observe the slow release performance of the calcium sulfate/poly(amino acid) compound material carrying triple anti-tuberculosis drugs in a rabbit model of spinal tuberculosis.METHODS: Twenty-four New Zealand white rabbits were used to make L4-5 spinal tuberculosis models and divided into two groups in a random way following removal of tuberculosis lesions. Calcium sulfate/poly amino acid compound material carrying isoniazide, rifampicin, pyrazinamide or calcium sulfate/poly(amino acid)compound material with no drugs was implanted into the defect in the experimental or control group,respectively. At 2, 4, 6 and 8 weeks after implantation, the concentrations of isoniazid, rifampicin and pyrazinamide in the defect region, including the bone tissue, adjacent psoas major and inferior vena cava,were measured.RESULTS AND CONCLUSION: In the experimental group, the isoniazid levels in the damaged bone tissue and psoas major were kept in minimum bactericidal concentration (MBC) at 8 weeks after implantation and in the minimum inhibitory concentration (MIC) at the end of 12 weeks after implantation, while its level in the vein was kept in MBC at 2 weeks and in MIC at 8 weeks. The rifampicin levels in the bone tissue and psoas major were kept in MBC at 4 weeks after implantation and in the MIC at 8 weeks after implantation, while its level in the vein was kept MIC at 4 weeks.The pyrazinamide levels in the damaged bone tissue and psoas major were kept in MBC at 8 weeks after implantation and in the MIC until 8 weeks after implantation, while its level in the vein was kept MIC at 8 weeks. In the control group,there were no levels of isoniazid, rifampicin and pyrazinamide in the damaged bone tissue, adjacent psoas major and inferior vena cava in comparison with the baseline. These results show that isoniazid, rifampicin and pyrazinamide in the defect region can achieve sustained slow release in the rabbit model of spinal tuberculosis after implantation of the calcium sulfate/poly(amino acid) compound material carrying triple anti-tuberculosis drugs. In addition, the local drug concentration and duration in the defect region are better than those in the blood.
5.METHODS OF FLUORIMETRIC DETERMINATION OF TRACE AMOUNT OF SELENIUM IN BIOLOGICAL MATERIALS,WATER AND SOIL 1.DETERMINATION OF SELENIUM IN HAIR,BLOOD AND URINE
Guangya WANG ; Ruihua ZHOU ; Shuzhuang SUN ; Taian YIN ; Shengjie LIU ; Guangqi YANG
Acta Nutrimenta Sinica 1956;0(01):-
A modification of Watkinson's method was used for the flaorimetric determination of selenium in blood, hair, urine and animal tissues with 2,3-Di-aminonaphthalene. A mixture of sulphuric, perchloric acid and sodium molybdate was used for digestion. As little as 3 ng selenium in the sample could be estimated out. Coefficients of variation and recoveries for blood, hair, urine and animal tissues were 3.9, 5.5, 3.3 and 5.6%, and 97.0, 95.0, 97.8 and 99.8% respectively. No significant difference in selenium content estimated was found as graded amounts of samples were taken for analysis, indicating no foreign interference in the extracts. Both precision and accuracy of this method are satisfactory.
6.METHODS OF FLUOROMETRIC DETERMINATION OF TRACE AMOUNT OF SELENIUM IN BIOLOGICAL MATERIALS,WATER AND SOIL 2.DETER MINATION OF SELENIUM IN CEREALS AND VEGETABLES
Shengjie LIU ; Ruihua ZHOU ; Taian YIN ; Shuzhuang SUN ; Guangya WANG ; Guangqi YANG
Acta Nutrimenta Sinica 1956;0(02):-
2,3-Diaminonaphthalene was used for the fluorometric determination of selenium in cereals and vegetables. Nitric-perchloric-sulphuric acids mixture was used for digestion. Coefficient of variation and recovery for cereals were 4-10% and 97.1%, and for vegetables were 4-18% and 97.8% respectively. Addition of hydrochloric acid to the final digests could be omitted for ordinary cereals and soybean, but it was necessary for samples from seleni-ferous area and some vegetables with higher selenium content such as mushrooms.
7.Simulation analysis of skin hyperthermia with non-isothermal heating
Shaofeng JIANG ; Guangqi LIU ; Jintian TANG ; Zihan ZHUO ; Li FENG ; Xiaodong ZHANG
International Journal of Biomedical Engineering 2013;(1):17-21
Objective Skin disease is multiple,common disease,and there are so many therapeutic methods.In recent years,physical non-invasive therapy of skin disease has developed rapidly.On the basis of Pennes equation,a series of simulation analysis was completed,and the results confirmed the feasibility and availability as well as the definite safety of curing skin diseases by direct heating.In order to achieve the maximum efficacy and the minimum side effects simultaneously and based on the previous research,exploratory simulation experiment of non-isothermal heating was carried out.Methods The skin temperature fields with non-isothermal heating were simulated by utilizing mathematical tools (Matlab).Results Compared to the previous isothermal heating,during the non-isothermal heating,the temperature of inner skin displayed the rising trend,while it displayed the declining trend during the isothermal heating.Conclusion As compared to isothermal heating,non-isothermal heating has better restraining effect for the bacterium within the inner skin,and less side-effect.
8.Clinicopathologic and molecular genetic featuresof metastatic follicular thyroid carcinoma:analyses of 22 cases
Wenwen RAN ; Yixuan LIU ; Weimao KONG ; Qianqian QIAO ; Guangqi LI ; Jigang WANG
Chinese Journal of Clinical and Experimental Pathology 2023;39(12):1453-1459
ABSTARCT Purpose To investigate the clinicopathologic characteristics and genetic mutations of metastatic follicular thy-roid carcinoma(FTC).Methods A total of 22 cases of meta-static FTC were collected,including previous medical history,imaging,treatments and outcomes,and next-generation sequen-cing study and Sanger sequencing were performed in 12 cases.Results There were 16 women and 6 men.Sixteen cases were older than 50 years.Seven cases presented with metastases as the first symptom.Fourteen cases developed metastases 3 to 12 years after thyroid surgery.Sixteen cases developed bone metas-tasis,10 cases had lung metastasis,and 3 cases had brain me-tastasis.Those patients with multiple bone metastases progressed during the follow-up period.The common gene mutations in me-tastases were NRAS p.Q61R(6 cases),HRAS p.Q61R(2 ca-ses)and KRAS p.Q61R(1 case),followed by TERT promoter mutation(8 cases).Other mutated genes included KEL,BRCA1/2,ALK,ROS1,ErbB4,etc.Conclusion FTC has a high misdiagnosis rate.Those diagnosed with FTC should under-go regular systemic examinations to detect potential metastasis,especially in bone,lung,and brain.Further research on the sig-nificance of NRAS and other molecular indicators in FTC metas-tasis will help to better predict its biological behaviors.
9.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
10.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.