The Janus kinase/signal transducers and activators of transcription (JAK-STAT) control natural killer (NK) cells development and cytotoxic functions, however, whether long non-coding RNAs (lncRNAs) are involved in this pathway remains unknown. We found that miR155HG was elevated in activated NK cells and promoted their proliferation and effector functions in both NK92 and induced-pluripotent stem cells (iPSCs)-derived NK (iPSC-NK) cells, without reliance on its derived miR-155 and micropeptide P155. Mechanistically, miR155HG bound to miR-6756 and relieved its repression of JAK3 expression, thereby promoting the JAK-STAT pathway and enhancing NK cell proliferation and function. Further investigations disclosed that upon cytokine stimulation, STAT3 directly interacts with miR155HG promoter and induces miR155HG transcription. Collectively, we identify a miR155HG-mediated positive feedback loop of the JAK-STAT signaling. Our study will also provide a power target regarding miR155HG for improving NK cell generation and effector function in the field of NK cell adoptive transfer therapy against cancer, especially iPSC-derived NK cells.

Objective:To investigate the prognostic value of 18F-FDG PET/CT-based habitat radiomics combined with stacking ensemble learning model in overall survival (OS) of patients with hepatocellular carcinoma (HCC). Methods:A total of 136 HCC patients (114 males, 22 females, age (55.3±10.4) years) who underwent 18F-FDG PET/CT before treatment between January 2018 and January 2023 were retrospectively analyzed. Eighty-five cases from Tianjin First Central Hospital and 51 cases from Tianjin Medical University Cancer Institute and Hospital were used as a training cohort and an external validation cohort, respectively. The tumor volume of interest (VOI) was delineated on PET and CT images, and a total of 4 habitats were segmented by using the Otsu algorithm, including PET high ∩ CT low, PET low ∩ CT low, PET high ∩ CT high, and PET low ∩ CT high. After the feature selection, a total of 36 stacking ensemble learning models were established, and the optimal model was selected based on the calculated concordance index (C-index). Moreover, a combined model was developed by integrating the optimal model with clinical information. The predictive efficacy of those models was assessed by time-dependent ROC curves. Results:The model based on PET high ∩ CT high habitat radiomics features with multilayer perceptron (MLP) classifier had the highest C-index (0.770) in the external validation cohort, and it was regarded as the optimal radiomics model. The combined model incorporating this model with clinical information achieved an improved C-index of 0.815 in the external validation cohort. The combined model outperformed the other models for OS prediction, with a time-dependent AUC of 0.919, 0.900, and 0.862 in predicting the 1-year, 2-year, and 3-year OS, respectively. Conclusions:18F-FDG PET/CT-based habitat analysis outperforms traditional radiomics in OS prediction for HCC patients. By integrating the optimal habitat model with the clinical model, the combined model is able to improve the predictive efficacy.

Effective management of postoperative pain following oral surgery is crucial for enhancing patient care quality. Given the high sensitivity of the oral region and its complex neural network, managing postoperative pain poses significant clinical challenges. This review assessed the efficacy of pharmacological treatments methods (such as non-steroidal anti-inflammatory drugs, acetaminophen and corticosteroids) and non-pharmacological treatment strategies (such as physical therapy, cognitive behavioral therapy, and psychological support), and discussed how these methods can be synergistically optimized for pain management. Additionally, this paper explored the challenges associated with implementing these strategies, including the standardization of pain assessment, the ongoing education of nursing staff, and the importance of interdisciplinary team collaboration. By integrating these approaches, this review aims to guide improvements in clinical pain management practices to enhance patient recovery outcomes and satisfaction, reduce reliance on pharmacological treatments, and ultimately elevate the overall quality of nursing care.

Objective To understand the distribution characteristics of fungi on object surface in hospital environ-ment,and provide reference for the scientific and precise formulation of environment control strategies based on fun-gal in clinic.Methods From December 7 to 23,2023,a total of 60 environmental specimens of 19 categories in 6 departments of a large tertiary first-class hospital were collected and divided into water-related environmental speci-men group,complete facade environmental specimen group,and sanitary ware environmental specimen group.18S rRNA sequencing was performed on specimens with fungi detected.Results Fungal detection rate of environmental specimens was 20.00％(12/60).Sink in the department of endocrinology had the highest fungal colony count(15 CFU/cm2),followed by the air outlet of air disinfection device in the department of thoracic surgery and the in-ternal part of a faucet in the department of endocrinology(both 10 CFU/cm2).The water-related environmental specimen group detected most diverse fungal genera(14 species),with high relative abundances of Aspergillus(100％),Meyerozyma(99.06％),Ophiocordyceps genus(95.63％),and Kodamaea(87.86％).The air outlet of air disinfection device was detected with a high abundance of Chaetomium(44.08％)and Corollospora(39.71％).There was no statistically significant difference in the α-diversity(Shannon and Simpson indices,P values of 0.661 and 0.568,respectively)and β-diversity(P=0.712)among the three environmental specimens.Conclusion Under the routine implementation of basic environmental cleaning and disinfection in medical institutions,fungi are in a low prevalence in the environment.However,moist surfaces and air disinfection device are prone to fungal colonization,and it is necessary to strengthen daily monitoring and take corresponding intervention measures to reduce the risk of infection.

Effective management of postoperative pain following oral surgery is crucial for enhancing patient care quality. Given the high sensitivity of the oral region and its complex neural network, managing postoperative pain poses significant clinical challenges. This review assessed the efficacy of pharmacological treatments methods (such as non-steroidal anti-inflammatory drugs, acetaminophen and corticosteroids) and non-pharmacological treatment strategies (such as physical therapy, cognitive behavioral therapy, and psychological support), and discussed how these methods can be synergistically optimized for pain management. Additionally, this paper explored the challenges associated with implementing these strategies, including the standardization of pain assessment, the ongoing education of nursing staff, and the importance of interdisciplinary team collaboration. By integrating these approaches, this review aims to guide improvements in clinical pain management practices to enhance patient recovery outcomes and satisfaction, reduce reliance on pharmacological treatments, and ultimately elevate the overall quality of nursing care.

Objective To understand the distribution characteristics of fungi on object surface in hospital environ-ment,and provide reference for the scientific and precise formulation of environment control strategies based on fun-gal in clinic.Methods From December 7 to 23,2023,a total of 60 environmental specimens of 19 categories in 6 departments of a large tertiary first-class hospital were collected and divided into water-related environmental speci-men group,complete facade environmental specimen group,and sanitary ware environmental specimen group.18S rRNA sequencing was performed on specimens with fungi detected.Results Fungal detection rate of environmental specimens was 20.00％(12/60).Sink in the department of endocrinology had the highest fungal colony count(15 CFU/cm2),followed by the air outlet of air disinfection device in the department of thoracic surgery and the in-ternal part of a faucet in the department of endocrinology(both 10 CFU/cm2).The water-related environmental specimen group detected most diverse fungal genera(14 species),with high relative abundances of Aspergillus(100％),Meyerozyma(99.06％),Ophiocordyceps genus(95.63％),and Kodamaea(87.86％).The air outlet of air disinfection device was detected with a high abundance of Chaetomium(44.08％)and Corollospora(39.71％).There was no statistically significant difference in the α-diversity(Shannon and Simpson indices,P values of 0.661 and 0.568,respectively)and β-diversity(P=0.712)among the three environmental specimens.Conclusion Under the routine implementation of basic environmental cleaning and disinfection in medical institutions,fungi are in a low prevalence in the environment.However,moist surfaces and air disinfection device are prone to fungal colonization,and it is necessary to strengthen daily monitoring and take corresponding intervention measures to reduce the risk of infection.

Objective:To investigate the prognostic value of 18F-FDG PET/CT-based habitat radiomics combined with stacking ensemble learning model in overall survival (OS) of patients with hepatocellular carcinoma (HCC). Methods:A total of 136 HCC patients (114 males, 22 females, age (55.3±10.4) years) who underwent 18F-FDG PET/CT before treatment between January 2018 and January 2023 were retrospectively analyzed. Eighty-five cases from Tianjin First Central Hospital and 51 cases from Tianjin Medical University Cancer Institute and Hospital were used as a training cohort and an external validation cohort, respectively. The tumor volume of interest (VOI) was delineated on PET and CT images, and a total of 4 habitats were segmented by using the Otsu algorithm, including PET high ∩ CT low, PET low ∩ CT low, PET high ∩ CT high, and PET low ∩ CT high. After the feature selection, a total of 36 stacking ensemble learning models were established, and the optimal model was selected based on the calculated concordance index (C-index). Moreover, a combined model was developed by integrating the optimal model with clinical information. The predictive efficacy of those models was assessed by time-dependent ROC curves. Results:The model based on PET high ∩ CT high habitat radiomics features with multilayer perceptron (MLP) classifier had the highest C-index (0.770) in the external validation cohort, and it was regarded as the optimal radiomics model. The combined model incorporating this model with clinical information achieved an improved C-index of 0.815 in the external validation cohort. The combined model outperformed the other models for OS prediction, with a time-dependent AUC of 0.919, 0.900, and 0.862 in predicting the 1-year, 2-year, and 3-year OS, respectively. Conclusions:18F-FDG PET/CT-based habitat analysis outperforms traditional radiomics in OS prediction for HCC patients. By integrating the optimal habitat model with the clinical model, the combined model is able to improve the predictive efficacy.

Objective To investigate the expression of long non-coding RNA(lncRNA)LINC02695 in human retinal microvascular endothelial cells(HRMECs)in high glucose(HG)environment and its effect on the proliferation,migration and neovascularization of HRMECs.Methods HRMECs was divided into four groups:the normal glucose(NG)group(5.5 mmol/L),the HG group(30.0 mmol/L),the HG+LINC02695 silenced group(HG+si-LINC02695),and the HG+silenced control group(HG+si-NC).Real-time quantita-tive fluorescent PCR(qPCR)was used to detect the expression of LINC02695 and vascular endothelial growth factor(VEGF)mRNA in HRMECs of each group.The cell proliferation of each group was measured by Cell Counting Kit-8(CCK-8)method.The migration ability of cells in each group was detected by Transwell as-say.The tube forming ability of cells in each group was detected by tube forming experiment.Results The qPCR results showed that compared with the NG group,LINC02695 and VEGF were highly expressed in the HG group(P＜0.05).Compared with the HG group,VEGF mRNA expression level in the HG+si-LINC02695 group was significantly decreased(P＜0.05).The results of CCK-8 experiment showed that the proliferation ability of the HG group was significantly enhanced compared with the NG group(P＜0.05).Compared with the HG group,the cell proliferation ability of the HG+si-LINC02695 group was significantly decreased(P＜0.05).The results of Transwell experiment showed that the cell migration ability of the HG group was significantly increased compared with the NG group(P＜0.05).Compared with the HG group,the cell migration ability of the HG+si-LINC02695 group was significantly decreased(P＜0.05).The results of tube formation experiment showed that compared with the NG group,the tube formation ability of the HG group was significantly increased(P＜0.05).Compared with the HG group,canalization ability of cells in the HG+si-LINC02695 group was significantly decreased(P＜0.05).Conclusion LINC02695 may be involved in promoting the proliferation,migration and angiogenesis of HRMECs induced by HG.

Objective:To explore the diagnostic value of chromosome karyotype analysis, chromosomal microarray analysis (CMA) and whole exome sequencing (WES) in microcephaly.Methods:A total of 9 cases of microcephaly fetuses diagnosed by prenatal ultrasound or children with microcephaly diagnosed after birth were selected from the Sixth Affiliated Hospital of Guangzhou Medical University from January 2014 to August 2022.Karyotype analysis and/or CMA were used to detect. The cases with negative karyotype analysis and CMA results were further sequenced by trio-based WES (Trio-WES). Then the coding genes contained in the pathogenic copy number variation (CNV) fragments were analyzed by gene ontology (GO) enrichment. The genes related to the development of the central nervous system contained in the pathogenic CNV and the pathogenic genes found by Trio-WES were combined for gene interaction network analysis.Results:In this study, 9 cases of microcephaly were recruited, with the time of diagnosis ranged from 23 weeks of gestation to 7 years after birth, and the head circumference of fetus or children ranged from 18.3 to 42.5 cm (-7SD to -2SD). Karyotype analysis was detected in all 9 cases and no abnormality result was found. Eight cases were detected by CMA, and one abnormal was found. Five cases were detected by Trio-WES, and two cases were detected with likely pathogenic genes. The GO enrichment analysis of the coding gene in the 4p16.3 microdeletion (pathogenic CNV) region showed that: in biological process, it was mainly concentrated in phototransduction, visible light; in terms of molecular function, it was mainly concentrated in fibroblast growth factor binding; in terms of cell components, it was mainly concentrated in rough endoplasmic reticulum. Gene interaction network analysis suggested that CDC42 gene could interact with CTBP1, HTT and ASPM gene.Conclusions:CMA could be used as a first-line detection technique for microcephaly. When the results of chromosome karyotype analysis and/or CMA are negative, Trio-WES could improve the detection rate of pathogenicity of microcephaly.

Objective: To examine the prevalence and factors influencing the inconsistency for knowledge and behavior in condom use among college students, so as to provide suggestions for AIDS prevention and education in universities. Methods: From October to December 2019, a multistage cluster sampling method was employed to collect data relating to inconsistency for knowledge and behavior in condom use and other related factors among 1 303 students from six colleges in Zhuhai, China. Chi square test and Logistic regression were performed to analyze the influencing factors and moderating effect. Results: The reporting rate of in consistency of knowledge and behavior in condom use among college students was 41.1%. Multivariate Logistic regression analysis showed that seeking sexual partners offline was negatively correlated with inconsistency for knowledge and behavior in condom use ( OR=0.70, 95%CI =0.51-0.95). However, condom nonuse during the first sexual experience (OR=7.11, 95%CI=5.23-9.67), smoking before sex ( OR=1.47, 95%CI =1.07-2.02), drinking before sex ( OR=1.44, 95%CI =1.09-1.91), history of intimate partner violence ( OR=1.53, 95%CI =1.13-2.07), and having multiple sexual partners ( OR=1.69, 95%CI =1.25-2.29) were positively correlated with inconsistency for knowledge and behavior in condom use ( P <0.05). The moderating effect analysis showed that condom use during the first sexual experience had a moderating effect on smoking before sex and inconsistency for knowledge and behavior in condom use ( β=0.92, P <0.05). Among students who did not use condoms during the first sexual experience, a positive correlation was observed between smoking before sex and inconsistency for knowledge and behavior in condom use ( OR= 2.76 , 95%CI=1.09-6.99, P <0.05). However, no correlation was found between smoking before sex and inconsistency for knowledge and behavior in condom use ( OR=1.32, 95%CI=0.92-1.88, P >0.05) among students who used condoms during the first sexual experience. Conclusion High levels of inconsistency for knowledge and behavior in condom use are found among college students in Zhuhai City. Colleges should carry out sex education activities as soon as possible, and explore new health education models to promote the transformation of their knowledge into behavior.