1.Superior vena cava syndrome and pulmonary artery stenosis in a patient with lung metastases of bladder cancer
Jian-Ke LI ; Ya-Nan GU ; Jun-Hao LI ; Liang-Wen WANG ; Ning-Zi TIAN ; Wei CHEN ; Xiao-Lin WANG ; Yi CHEN
Fudan University Journal of Medical Sciences 2024;51(2):277-279,284
Superior vena cava syndrome(SVCS)is a group of clinical syndromes caused by obstruction of the superior vena cava and its major branches from various causes.Pulmonary artery stenosis(PS)is a complication of lung cancer or mediastinal tumours.SVCS combined with PS due to pulmonary metastases from bladder cancer is extremely rare and has not been reported in the literature.Here we reported an old male patient with pulmonary metastases from bladder cancer presenting with swelling of the head,neck and both upper limbs.SVCS combined with PS was clarified by pulmonary artery computed tomography angiography(CTA)and digital subtraction angiography(DSA).Endovascular stenting was used to treat SVCS.Angiography also showed that PS had not caused pulmonary hypertension and did not need to be treated.The swelling of the patient's head,neck and upper limbs was gradually reduced after the procedure.
2.scRNA-seq reveals that origin recognition complex subunit 6 regulates mouse spermatogonial cell proliferation and apoptosis via activation of Wnt/β-catenin signaling.
Shi-Wei LIU ; Jia-Qiang LUO ; Liang-Yu ZHAO ; Ning-Jing OU ; CHAO-YANG ; Yu-Xiang ZHANG ; Hao-Wei BAI ; Hong-Fang SUN ; Jian-Xiong ZHANG ; Chen-Cheng YAO ; Peng LI ; Ru-Hui TIAN ; Zheng LI ; Zi-Jue ZHU
Asian Journal of Andrology 2023;26(1):46-56
The regulation of spermatogonial proliferation and apoptosis is of great significance for maintaining spermatogenesis. The single-cell RNA sequencing (scRNA-seq) analysis of the testis was performed to identify genes upregulated in spermatogonia. Using scRNA-seq analysis, we identified the spermatogonia upregulated gene origin recognition complex subunit 6 (Orc6), which is involved in DNA replication and cell cycle regulation; its protein expression in the human and mouse testis was detected by western blot and immunofluorescence. To explore the potential function of Orc6 in spermatogonia, the C18-4 cell line was transfected with control or Orc6 siRNA. Subsequently, 5-ethynyl-2-deoxyuridine (EdU) and terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assays, flow cytometry, and western blot were used to evaluate its effects on proliferation and apoptosis. It was revealed that ORC6 could promote proliferation and inhibit apoptosis of C18-4 cells. Bulk RNA sequencing and bioinformatics analysis indicated that Orc6 was involved in the activation of wingless/integrated (Wnt)/ β-catenin signaling. Western blot revealed that the expression of β-catenin protein and its phosphorylation (Ser675) were significantly decreased when silencing the expression of ORC6. Our findings indicated that Orc6 was upregulated in spermatogonia, whereby it regulated proliferation and apoptosis by activating Wnt/β-catenin signaling.
3.Analysis on the household secondary attack rates of the SARS-CoV-2 Delta variant and the associated factors.
Tao MA ; Song Ning DING ; Jun Jun WANG ; Ya Qiong LIANG ; Qin Yi ZHOU ; Heng Xue WANG ; Yue Yuan ZHAO ; Zi Kang YAN ; Hua Feng FAN ; Nan ZHOU
Chinese Journal of Preventive Medicine 2023;57(1):8-14
Objective: To evaluate the household secondary attack rates of the SARS-CoV-2 Delta variant and the associated factors. Methods: A COVID-19 outbreak caused by the Delta variant occurred in Nanjing in July 2021. A total of 235 cases with current addresses in Nanjing were reported from 171 households. The subjects in this study were selected from household close contact(s) of infected cases. The information on household index cases and their contacts were collected, and the household secondary attack rate (HSAR) and the risk factors were analyzed by the multi-factor logistic regression model. Results: A total of 234 cases of household close contacts and 64 household secondary cases were reported from 103 households, and the HSAR was 27.4% (64/234, 95%CI:22.0% to 33.4%). The proportions of household size for 2 to 3, 4 to 5, and 6 to 9 were 64.1% (66), 26.2% (27) and 9.7% (10), respectively. A total of 35 cases of household cluster outbreaks were reported (35/103, 34.0%). The number of the first case in the household (FCH) was 103 and males accounted for 27.2% (28 cases), with the median age (Q1, Q3) of 49 (9, 56). The number of household close contacts was 234 and males accounted for 59.0% (138 cases), with the median age (Q1, Q3) of 42 (20, 55) and the median exposure period (Q1, Q3) of 3 (1, 3) days. The multi-factor logistic regression model showed that the higher HSAR was observed in the FCH with the features of airport staff (OR=2.913, 95%CI:1.469-5.774), detection from home quarantine screening (OR=6.795, 95%CI:1.761-26.219) and detection from mass screening (OR=4.239, 95%CI:1.098-16.368). Meanwhile, higher HSAR was observed in cases with longer household exposure (OR=1.221, 95%CI:1.040-1.432), non-vaccination (OR=2.963, 95%CI:1.288-6.813) and incomplete vaccinations (OR=2.842, 95%CI:0.925-8.731). Conclusion: The generation interval of the Delta variant is shortened, and the ability of transmission within the household is enhanced. In the outbreak in Nanjing, the associated factors of HSAR are occupation, detection route, vaccination and exposure period.
Male
;
Humans
;
SARS-CoV-2
;
COVID-19/epidemiology*
;
Incidence
;
Family Characteristics
4.Construction of a Prognostic Model of Multiple Myeloma Based on Metabolism-Related Genes.
Ge-Liang LIU ; Xi-Meng CHEN ; Jun-Dong ZHANG ; Hao-Ran CHEN ; Zi-Ning WANG ; Peng ZHI ; Zhuo-Yang LI ; Pei-Feng HE ; Xue-Chun LU
Journal of Experimental Hematology 2023;31(1):162-169
OBJECTIVE:
To screen the prognostic biomarkers of metabolic genes in patients with multiple myeloma (MM), and construct a prognostic model of metabolic genes.
METHODS:
The histological database related to MM patients was searched. Data from MM patients and healthy controls with complete clinical information were selected for analysis.The second generation sequencing data and clinical information of bone marrow tissue of MM patients and healthy controls were collected from human protein atlas (HPA) and multiple myeloma research foundation (MMRF) databases. The gene set of metabolism-related pathways was extracted from Molecular Signatures Database (MSigDB) by Perl language. The biomarkers related to MM metabolism were screened by difference analysis, univariate Cox risk regression analysis and LASSO regression analysis, and the risk prognostic model and Nomogram were constructed. Risk curve and survival curve were used to verify the grouping effect of the model. Gene set enrichment analysis (GSEA) was used to study the difference of biological pathway enrichment between high risk group and low risk group. Multivariate Cox risk regression analysis was used to verify the independent prognostic ability of risk score.
RESULTS:
A total of 8 mRNAs which were significantly related to the survival and prognosis of MM patients were obtained (P<0.01). As molecular markers, MM patients could be divided into high-risk group and low-risk group. Survival curve and risk curve showed that the overall survival time of patients in the low-risk group was significantly better than that in the high risk group (P<0.001). GSEA results showed that signal pathways related to basic metabolism, cell differentiation and cell cycle were significantly enriched in the high-risk group, while ribosome and N polysaccharide biosynthesis signaling pathway were more enriched in the low-risk group. Multivariate Cox regression analysis showed that the risk score composed of the eight metabolism-related genes could be used as an independent risk factor for the prognosis of MM patients, and receiver operating characteristic curve (ROC) showed that the molecular signatures of metabolism-related genes had the best predictive effect.
CONCLUSION
Metabolism-related pathways play an important role in the pathogenesis and prognosis of patients with MM. The clinical significance of the risk assessment model for patients with MM constructed based on eight metabolism-related core genes needs to be confirmed by further clinical studies.
Humans
;
Cell Cycle
;
Multiple Myeloma/genetics*
;
Prognosis
;
Risk Factors
5.Effect of guarana on lipid metabolism in obese rats: a study based on lipidomics.
Min-Yan LIANG ; Song WANG ; Zi-Wei XU ; Jing-Jing WANG ; Xiao-Die HU ; Hong-Ning LIU ; Li-Ping HUANG
China Journal of Chinese Materia Medica 2023;48(14):3865-3873
This study investigated the effect of guarana on plasma lipid metabolites in obese rats and analyzed its mechanism in the treatment of dyslipidemia in obesity. High-fat diet was used to establish obese rat models, and the therapeutic effect of guarana on obese rats was evaluated by measuring body weight, white fat, liver weight, and lipid content, as well as observing liver histomorphology. Lipid metabolites in plasma of rats in each group were detected by UHPLC-Q-TOF-MS lipidomics. The protein expressions of fatty acid synthase, acetyl-CoA carboxylase 1, triglyceride synthesis enzyme, carnitine palmitoyltransferase Ⅰ, and acetyl-coenzyme A acyltransferase 2 in rat liver were detected using Western blot. The results revealed that guarana significantly reduced body weight, white fat, and liver weight of obese rats due to high-fat diet, and alleviated dyslipidemia and liver steatosis. Lipidomics showed that some triglycerides and phospholipids were significantly elevated in the high-fat model group, and part of them was reduced after guarana treatment. Western blot found that guarana inhibited the expression of hepatic fatty acid and triglyceride synthesis-related proteins and increased the expression of fatty acid β-oxidation-related proteins. Abnormalities in triglyceride and phospholipid metabolism are the main characteristics of plasma lipid metabolism in obese rats induced by high-fat diet. Guarana may regulate partial triglyceride and phospholipid metabolism by inhibiting hepatic fatty acid and triglyceride synthesis and increasing fatty acid β-oxidation, thereby improving rat obesity and dyslipidemia.
6. Transcriptional Regulation between CCAT2 and AR in Prostate Cancer Cell Lines
Pin-Zheng ZHANG ; Zhi-Yi GUO ; Pin-Zheng ZHANG ; Zhi-Yi GUO ; Na LIANG ; Ming-Jie CHANG ; Xu-Ying WANG ; Jin-Ze LI ; Ya-Ning WANG ; Fan-Li SUN ; Zi-Yun CHEN ; Xuan SHANG ; Zhi-Yi GUO
Chinese Journal of Biochemistry and Molecular Biology 2022;38(8):1070-1077
AR (androgen receptor) and CCAT2 are two prostate cancer (PCa)-related genes whereas their relationship is not yet reported. AR is the classical major functional gene in PCa progression. CCAT2, a non-coding gene, was identified based on big-data GWAS (Genome-Wide Association Studies) in the year of 2013. Androgen deprivation therapy (ADT) is usually used to treat PCa in the early stage. After persistent androgen deprivation, PCa would generally lead to castration resistant prostate cancer (CRPC), whereas the mechanism is yet unclear. Here we explore the function of AR and CCAT2 in PCa progression, especially their relation in androgen sensitive and insensitive cell model LNCap and DU145. We found a loop between AR and CCAT2 transcription by over-expression and knock-down strategies. In DU145 cells, G-CCAT2 activated AR mRNA level 2. 6 times, while T-CCAT2 inhibited it to 0. 2 times (P<0. 05). In LNCaP cells, G-CCAT2 could activate AR mRNA levels 1. 5 times, and TCCAT2 had no significant effect (P<0. 05). Under overexpression of AR in DU145 cells, the expression of CCAT2 increased 2. 9 times (P < 0. 05). The abundance of CCAT2 decreased to 0. 48 (P < 0. 05) in LNCaP cells by AR knock-down. Reporter gene analysis showed that CCAT2 could function on the AR promoter. We then performed CCK8 assays and AR protein level detection as supplement for the new gene CCAT2 studies. Finally we primarily studied some target genes that are related to AR and CCAT2 . The results showed that the G-CCAT2 transcript could activate AR expression in LNCap cells while UCCAT2 had no significant effect. In DU145 cells, G-CCAT2 exhibited a more relative stronger activation effect on AR, and U-CCAT2 could inhibit AR transcription. AR activates the transcriptional activity of CCAT2 in both cell lines, suggesting a feedback regulation between them. Our data showed that there would be a feedback loop between CCAT2 and AR, which may indicate a new method for PCa treatment.
7.Genetic study of cardiovascular disease subtypes defined by International Classification of Diseases.
Zi Ning GUO ; Zhi Sheng LIANG ; Yi ZHOU ; Na ZHANG ; Jie HUANG
Journal of Peking University(Health Sciences) 2021;53(3):453-459
OBJECTIVE:
To study the molecular connection among cardiovascular diseases (CVD) subtypes defined by the International Classification of Diseases (ICD) version 10 (ICD-10).
METHODS:
Both phenotypic data and genotypic data used in this study were obtained from the UK Biobank. A total of 380 083 participants aged between 40 and 69 years were included. Those without any cardiovascular disease (either no ICD-10 code at all or no ICD-10 code containing letter I) were assigned to the control group. The five CVD subtypes were: ischaemic heart diseases (IHD), pulmonary heart disease and diseases of pulmonary circulation (PHD), cerebrovascular diseases (CRB), diseases of arteries, arterioles and capillaries (AAC), diseases of veins, lymphatic vessels and lymph nodes, and diseases not elsewhere classified (VLL). We first performed a genome-wide association study (GWAS) for each of the five subtypes. We summarized novel loci using genome-wide significance threshold P=5×10-8. Next, we used linkage disequilibrium score regression (LDSC) method to assess genetic correlation among the five subtypes. Lastly, we applied mendelian randomization (MR) approach to assess the causal relationship among the subtypes. The particular software that we used was generalised summary-data-based mendelian randomisation (GSMR).
RESULTS:
Through GWAS, we identified hundreds of genome-wide significant SNPs: 672 for IHD, 241 for PHD, 31 for CRB, 48 for AAC, and 193 for VLL. By comparing with published literature, we found 28 novel loci, for PHD (n=14), CRB (n =7) and AAC (n =7). Eight of these 28 loci were rare, where the lead SNP had minor allele frequency (MAF) less than 1%. LDSC analyses indicated IHD had significant genetic correlation with VLL (P=2.52×10-7), PHD (P=3.77×10-3) and AAC (P=4.90×10-3), respectively. Bidrectional GSMR analyses showed that IHD had a positive causal relationship with VLL (P=7.40×10-5) and AAC (P=1.50×10-3), while reverse causality was not supported.
CONCLUSION
This study adopted an innovative approach to study the molecular connection among CVD subtypes that are defined by ICD. We identified potentially positive genetic correlation and causal effects among some of these subtypes. Research along this line will provide scientific insights and serve as a guidance for future ICD standards.
Adult
;
Aged
;
Cardiovascular Diseases/genetics*
;
Genome-Wide Association Study
;
Humans
;
International Classification of Diseases
;
Mendelian Randomization Analysis
;
Middle Aged
;
Polymorphism, Single Nucleotide
8.Liposuction of the zygomatic arch area facilitates correction of temporal depression.
Chun-Hu WANG ; Zi-Rong LI ; Xin LI ; Jie LI ; Meng WANG ; Xue-Bing LIANG ; Xiao-Ning YANG ; Ke-Ming WANG ; Ji-Guang MA ; Fa-Cheng LI
Chinese Medical Journal 2020;133(14):1757-1758
9.Factors Associated with Field Epidemiology Investigation: A Cross-sectional Study in China.
Bao Hua LIU ; Miao Miao ZHAO ; Zi LIANG ; Li Jun GAO ; Fei GAO ; Qun Hong WU ; Yan Hua HAO ; Ning NING
Biomedical and Environmental Sciences 2019;32(6):454-458
Adult
;
China
;
Cross-Sectional Studies
;
Epidemiologic Methods
;
Epidemiology
;
education
;
Female
;
Humans
;
Male
10.Characteristics of Uric Acid Excretion in Gout Patients with Obesity
Jin-jian LIANG ; Qian-hua LI ; Li-juan YANG ; Xiu-ning WEI ; Ying-qian MO ; Jian-zi LIN ; Dong-hui ZHENG ; Lie DAI
Journal of Sun Yat-sen University(Medical Sciences) 2019;40(4):565-570
【Objective】To explore clinical manifestations and features of renal uric acid excretion in gout patients with obesity.【Methods】Totally 228 primary gout patients were enrolled and divided into three groups according to body mass index(BMI). Clinical and fasting blood biochemical analysis data were collected. Indices of renal uric acid excretion were calculated according to 24 h urinary uric acid and urinary creatinine.【Results】The obese group(n = 44)was younger than overweight group(n = 88)and non-overweight group(n = 96)[43(32,57)years vs 55(45,65)years,58(45,67)years],with earlier onset age[37(26,48)years vs 48(38,59)years],higher serum uric acid[594(522,697)μmol/L vs 511(372,653)μmol/L]and had more hypercholesterolemia(56.8% vs 31.3%)and low density lipoproteinemia(59.1% vs 47.9%)compared with non-overweight group. The ratio of hypertriglyceridemia(43.5% and 37.5% vs 17.7%)and metabolic syndrome(50.0% and 36.4% vs 12.5%)in the overweight and obese group were both higher than non- overweight group. Fraction excretion of uric acid(FEUA)in obese group[5.5(3.6,7.4)% vs 7.0(5.2,9.8)%]was lower than non-overweight group,and the glomerular filtration load of uric acid[5.3(4.2,7.5)mg·min- 1 ·1.73 m- 2 vs 3.5(2.2,5.2)mg·min-1·1.73 m-2]in obese group was higher than that in non-overweight group(All P < 0.0167). Multivariate regression analysis showed that overweight or obesity were negatively correlated with FEUA(All P < 0.05).【Conclusion】High uric acid load of serum and glomerular filtration in gout patients with obesity may be due to the relative insufficiency of renal uric acid excretion.

Result Analysis
Print
Save
E-mail