1.Introduction of updates in LI-RADS(R)v2017
Ke WANG ; Shaoshuai SUN ; Xiaochao GUO ; He WANG ; Xiaoying WANG
Chinese Journal of Medical Imaging Technology 2017;33(10):1596-1600
The first edition of Liver Imaging Reporting and Data System (LI-RADS) is proposed by American College of Radiology (ACR) in 2011 for diagnosis of hepatocellular carcinoma (HCC) in at-risk patients.It is created to standardize the reporting and data collection of CT and MR imaging for HCC to classify observation.Since it had been announced,many validation studies had been performed and the first edition of LI-RADS had been revised in 2013 and 2014,respectively.In July 2017,the latest revision (LI-RADS(R)v2017) has just been launched more reasonable and practical with new algorithms,new revised categories for LI-RADS and new criteria for many imaging features.The changes of CT/MR in LIRADS(R) v2017 were interpretated in this article.
2.Diagnosis and treatment of kidney transplant recipients infected with novel coronavirus Omicron variant: a single-center experience of 181 cases
Gang LI ; Zhongwei SUN ; Junjie XIE ; Zhijie BAI ; Shaoshuai JI ; Fenwang LIN ; Bolun ZHANG ; Yi SHI ; Lixin YU ; Junsheng YE
Chinese Journal of Organ Transplantation 2023;44(10):628-634
Objective:To explore the risk factors associated with the clinical progression of COVID-19 infection in kidney transplant(KT)recipients during the spread of Omicron variant and evaluate the effectiveness of anti-RNA virus agents in blocking the clinical progression of COVID-19 in these recipients.Methods:Retrospective analysis was conducted for the clinical data on COVID-19 infection in 232 KT recipients followed up from December 4, 2022 to January 31, 2023 at Department of Renal Transplantation, Organ Transplantation Center, Beijing Tsinghua Changgung Hospital.Inclusion criteria were age ≥18 years and stable kidney function without renal replacement therapy.The follow-up time was 30 days after COVID-19 infection.Based upon whether or not there was an infection of COVID-19, KT recipients were divided into two groups of infection(181 cases)and non-infection(51 cases). In infection group, recipients were further assigned into two sub-groups of disease progression(n=23)and stable(158 cases)according to whether or not there was a progression to severe disease.Various factors such as gender, age, body mass index(BMI), time after transplantation, underlying diseases(history of hypertension, diabetes mellitus, coronary heart disease & chronic lung disease), smoking history and dosing of anti-RNA virus agents were collected.Pearson χ2 test or Fisher's exact probability method was utilized for examining enumeration data while Mann-Whitney U test for measurement data.Univariate Logistic regression analysis was conducted and variables with P<0.05 were included into multifactorial Logistic regression analysis to identify independent risk factors for clinical progression of COVID-19 infection in KT recipients. Results:Among 232 KT recipients, infection rate of COVID-19 was 78.0%(181/232). The clinical classification was mild(112 cases), moderate(46 cases), severe(21 cases)and critical(n=2 cases). The severe rate was 12.7%(23/181). After infection with COVID-19, the proportion of KT recipients aged ≥65 years progressing from mild/moderate to severe was higher than those aged<65 years[38.5%(5/13)vs 10.7%(18/168)]. The difference was statistically significant( P=0.014); The proportion of diabetic KT recipients progressing from mild/moderate to severe was higher than those without diabetes[19.1%(13/68)vs 8.8%(10/113)]. The difference was statistically significant( P=0.045). Univariate Logistic analysis showed similar results.Age≥65 years( OR=5.21, 95% CI: 1.54-17.64, P=0.008)or diabetes mellitus( OR=2.44, 95% CI: 1.003-5.911, P=0.049)were the risk factors for COVID-19 infection recipients progressing from mild/moderate to severe disease.Multivariate Logistic analysis revealed that age ≥65 years( OR=4.03, 95% CI: 1.14-14.34, P=0.031)was an independent risk factor for COVID-19 infection recipients progressing from mild/moderate to severe.Among 181 cases of COVID-19 mild/medium infected patients, 18 cases received nimativir/ritonavir and 10 cases had azvudine for anti-RNA virus treatment.However, none of them progressed to severe; 153 cases did not use anti-RNA virus drugs and 23 cases(15.0%)progressed to severe disease and the difference was statistically significant( P=0.028). Among 23 severe cases, 14 cases received nirmatrelvir/ritonavir and 2 cases had azivudine for anti-RNA virus treatment.The former did not progress to critical disease while 1 case in the latter progressed to critical illness and death; 1/7 recipients not using anti-RNA virus agents progressed to critical illness and died while another 6 cases did not progress to critical illness. Conclusions:KT recipients aged ≥65 years or diabetes mellitus have a greater risk of progression from mild/moderate to severe disease after COVID-19 infection.Among them, age ≥65 years is an independent risk factor for patients with COVID-19 infection to progress from mild/moderate to severe.Antiviral treatment with nirmatrelvir/ritonavir or azivudine in KT recipients during mild/moderate stage of COVID-19 infection can significantly reduce the rate of severe disease.Treatment with Nirmatrelvir/Ritonavir is still effective in the severe stage.
3.PCGF6 regulates stem cell pluripotency as a transcription activator via super-enhancer dependent chromatin interactions.
Xiaona HUANG ; Chao WEI ; Fenjie LI ; Lumeng JIA ; Pengguihang ZENG ; Jiahe LI ; Jin TAN ; Tuanfeng SUN ; Shaoshuai JIANG ; Jia WANG ; Xiuxiao TANG ; Qingquan ZHAO ; Bin LIU ; Limin RONG ; Cheng LI ; Junjun DING
Protein & Cell 2019;10(10):709-725
Polycomb group (PcG) ring finger protein 6 (PCGF6), though known as a member of the transcription-repressing complexes, PcG, also has activation function in regulating pluripotency gene expression. However, the mechanism underlying the activation function of PCGF6 is poorly understood. Here, we found that PCGF6 co-localizes to gene activation regions along with pluripotency factors such as OCT4. In addition, PCGF6 was recruited to a subset of the super-enhancer (SE) regions upstream of cell cycle-associated genes by OCT4, and increased their expression. By combining with promoter capture Hi-C data, we found that PCGF6 activates cell cycle genes by regulating SE-promoter interactions via 3D chromatin. Our findings highlight a novel mechanism of PcG protein in regulating pluripotency, and provide a research basis for the therapeutic application of pluripotent stem cells.