Objective To explore the significance of signal classification by multimodal magnetic resonance imaging(MRI)(including conventional MRI,diffusion imaging,and susceptibility-weighted imaging)on neonatal punctate white matter lesions(PWML).Methods Between March 2011 and February 2013,neonates with PWML who underwent 3.0T MRI examination were recruited.The routine protocols included T1 weighted imaging (T1WI),T2 weighted imaging(T2WI),diffusion tensor imaging(DTI),and 3D-enhanced susceptibility-weighted angiography(ESWAN).Apparent diffusion coefficient(ADC)map,magnitude image,and phase image were obtained from DTI and ESWAN,respectively.The signal of PWML was one-to-one observed on T1WI,T2WI, ADC map and magnitude image.The combined signals were classified and the number of cases of each type was counted.Results Totally 84 neonates with PWML were included(preterm/term,47/37).Seven signal types were found and classified into three groups: ① Type Ⅰ was the most,59 cases,accounting for 70.24%,with the performance of high-signal intensity on T1WI,low-signal intensity on T2WI,low-signal intensity on ADC map,and high-signal intensity on magnitude image. ② Type Ⅱ,7 cases,accounting for 8.33%,high-signal intensity on T1WI,low-signal intensity on T2WI,low-signal intensity on ADC map,and low-signal intensity on magnitude image.③ Type Ⅲ - Ⅶ,26 cases,accounting for 30.95%,high-signal intensity on T1WI,low/iso-signal intensity on T2WI,low/iso-signal intensity on ADC map,high/iso-signal intensity on magnitude image.There was no significant difference in the incidence of different signal types between preterm and full-term PWML neonates. Conclusion Magnetic resonance signal may reflect the characteristics of PWML lesions.Signal classification of PWML by multimodal magnetic resonance imaging is helpful in determining injury type and has certain significance in guiding clinical treatment.

Norovirus is the global leading cause of epidemic and endemic acute gastroenteritis in people of all ages.To inves-tigate the genetic diversity of GⅡ genogroup noroviruses linked to clustered infections in northeast Chongqing,we collected anal swabs or environmental smears from 11 norovirus outbreaks during 2021-2022.Norovirus RNA was detected by quantitative real-time PCR(qRT-PCR),and partial viral RdRp/capsid genes were amplified by reverse transcription PCR(RT-PCR)and sequenced.Among samples from 11 outbreaks in 4 districts and counties,55 strains of GⅡ genogroup norovirus were detected.Six genotypes were identified with an online norovirus genotyping tool(http://www.rivm.nl/mpf/norovirus/typingtool).Genotype GⅡ.17[P17]was associated with four outbreaks;the co-circulating GⅡ.17[P17]and GⅡ.1[P16]caused another out-break;GⅡ.6[P7]and GⅡ.8[P8]respectively were linked to two outbreaks;and GⅡ.3[P12]and GⅡ.2[P16]respectively ac-counted for one outbreak.Phylogenetic analysis also indicated that 55 GⅡ genogroup strains formed five clusters,with norovir-uses of identical genotypes from diverse events belonging to the same cluster,and that genetically distinct genotypes from di-verse events belonged to different clusters.Therefore,our results revealed that multiple genotypes associated with norovirus outbreaks were circulating in northeast Chongqing,and GⅡ.17[P17]was the predominant genotype linked to these out-breaks during 2021-2022.Most norovirus outbreak events were caused by single sources,and genetic relationships were demonstrated among noroviruses of identical genotypes from diverse events.

The purpose of this study was to investigate the impact of leucine-rich repeats and immunoglobulin-like domains 3 (LRIG3) on the biological features of bladder cancer cell lines. The plasmids of over-expressed LRIG3 and the blank plasmid serving as control were transfected into the bladder cancer cell lines, T24, EJ and BIU-87, and the expression levels of LRIG3 mRNA and protein were detected by using real-time PCR and Western blotting. The changes in the cell cycle and apoptosis were examined by using flow cytometry. The invasive ability was measured by Transwell assay, and CCK-8 assays were used to measure the proliferation of cells. As compared with the control group, the LRIG3 mRNA and protein expression levels in LRIG3 cDNA-transfected group were raised significantly (P<0.05). The average number of cells with up-regulated LRIG3 passing through the inserted filter was decreased significantly as compared with the control group (P<0.05). Up-regulation of LRIG3 also could inhibit proliferation and induce apoptosis of T24, EJ and BIU-87 cells. Except BIU-87, the T24 and EJ cells transfected with LIRG3 cDNA were arrested in G(0)/G(1) phase compared to the control group (P<0.05). In conclusion, the over-expression of LRIG3 could influence the cell cycle and invasion, inhibit proliferation and induce apoptosis in the three bladder cancer cell lines.
Apoptosis ; Cell Line, Tumor ; Cell Movement ; Cell Proliferation ; Humans ; Membrane Proteins ; genetics ; metabolism ; Neoplasm Invasiveness ; Up-Regulation ; Urinary Bladder Neoplasms ; metabolism ; pathology

Objective: To analyze the change trend of underground dust concentration, the incidence and survival status of pneumoconiosis patients, and provide reference for improving the working environment of dust-exposed workers and the prevention and treatment of pneumoconiosis patients in the future. Methods: In February 2020, a retrospective investigation was conducted on the dust data of underground mining operations in a steel enterprise in Jiangsu Province from 1991 to 2019, and the case data of patients diagnosed with pneumoconiosis from 1956 to 2019 were collected. The time trends of the number of pneumoconiosis patients and dust concentration, the stage of pneumoconiosis and survival status of patients were analyzed. Results: From 1956 to 2019, a total of 241 patients with pneumoconiosis were diagnosed in the steel enterprise. From 1991 to 2019, the annual average dust concentration in the mine showed a downward trend as a whole. Compared with the transportation platform (14.28%, 1447/10132) , the average dust concentration exceeding rate of the mining platform (43.68%, 8415/19263) was significantly higher (χ(2)=2674.84, P<0.01) . The average age of pneumoconiosis patients was (73.54±10.42) years old, and the average working age of dust exposure was (21.41±8.68) years, of which 85 cases (35.27%) survived and 156 cases (64.73%) died. The main type of pneumoconiosis was silicosis (90.46%, 218/241) , and the main stage of pneumoconiosis was the stage I (96.68%, 233/241) ; The higher the stage of pneumoconiosis, the younger the diagnosis age (P<0.01) . The average survival time of patients was (27.264±1.982) years, and the median survival time was 28 years. The cumulative survival rates of patients with pneumoconiosis in different diagnosis time periods were significantly different (χ(2)=35.57, P<0.01) . Conclusion: The improved dust-proof measures have a significant effect on reducing the concentration of underground dust. We need to focus on the dust control of underground mining platforms and the treatment of patients with stage Ⅲ pneumoconiosis.
Humans ; Middle Aged ; Aged ; Aged, 80 and over ; Child ; Adolescent ; Young Adult ; Adult ; Incidence ; Coal Mining ; Steel ; Retrospective Studies ; Pneumoconiosis/diagnosis* ; Dust ; Occupational Exposure/adverse effects*

BACKGROUNDThere has been no external validation of survival prediction models for severe adult respiratory distress syndrome (ARDS) with extracorporeal membrane oxygenation (ECMO) therapy in China. The aim of study was to compare the performance of multiple models recently developed for patients with ARDS undergoing ECMO based on Chinese single-center data.

METHODSA retrospective case study was performed, including twenty-three severe ARDS patients who received ECMO from January 2009 to July 2015. The PRESERVE (Predicting death for severe ARDS on VV-ECMO), ECMOnet, Respiratory Extracorporeal Membrane Oxygenation Survival Prediction (RESP) score, a center-specific model developed for inter-hospital transfers receiving ECMO, and the classical risk-prediction scores of Acute Physiology and Chronic Health Evaluation (APACHE) II and Sequential Organ Failure Assessment (SOFA) were calculated. In-hospital and six-month mortality were regarded as the endpoints and model performance was evaluated by comparing the area under the receiver operating characteristic curve (AUC).

RESULTSThe RESP and APACHE II scores showed excellent discriminate performance in predicting survival with AUC of 0.835 (95% confidence interval [CI], 0.659-1.010, P = 0.007) and 0.762 (95% CI, 0.558-0.965, P = 0.035), respectively. The optimal cutoff values were risk class 3.5 for RESP and 35.5 for APACHE II score, and both showed 70.0% sensitivity and 84.6% specificity. The excellent performance of these models was also evident for the pneumonia etiological subgroup, for which the SOFA score was also shown to be predictive, with an AUC of 0.790 (95% CI, 0.571-1.009, P = 0.038). However, the ECMOnet and the score developed for externally retrieved ECMO patients failed to demonstrate significant discriminate power for the overall cohort. The PRESERVE model was unable to be evaluated fully since only one patient died six months postdischarge.

CONCLUSIONSThe RESP, APCHAE II, and SOFA scorings systems show good predictive value for intra-hospital survival of ARDS patients treated with ECMO in our single-center evaluation. Future validation should include a larger study with either more patients' data at single-center or by integration of domestic multi-center data. Development of a scoring system with national characteristics might be warranted.

Adult ; Extracorporeal Membrane Oxygenation ; adverse effects ; methods ; Female ; Humans ; Kaplan-Meier Estimate ; Male ; Middle Aged ; Prognosis ; ROC Curve ; Respiratory Distress Syndrome, Adult ; mortality ; pathology ; therapy ; Retrospective Studies ; Risk Assessment

Adult ; Capillary Permeability ; Extracorporeal Membrane Oxygenation ; Extravascular Lung Water ; Humans ; Lung/diagnostic imaging* ; Prognosis ; Respiratory Distress Syndrome/therapy*