ObjectiveThe most prevalent mRNA modification, N6-methyladenosine (m⁶A) plays an important role in various RNA metabolism, including gene expression and translation. By recruiting different “reader” proteins and their cofactors, m⁶A modification can affect messenger RNA (mRNA) degradation, splicing, nuclear export and translation. However, the selective mechanism by which m⁶A sites regulate mRNA translation through m⁶A reader YTHDF1 binding remains poorly understood, due to a lack of computational methods for identifying context-specific m⁶A sites that regulate translation. To address this, we developed a novel computational framework named m⁶ATEpre, the first tool designed to predict cell-specific m⁶A sites that regulate translation efficiency. Methodsm⁶ATEpre integrates multi-omics data, introduces a novel feature representation strategy for m⁶A site sequences, and employs an autoencoder to effectively capture embedded feature representations. Specifically, m⁶ATEpre first integrated MeRIP-seq data and PAR-CLIP data through overlapping m⁶A sites with YTHDF1 binding sites and identified YTHDF1-mediated m⁶A sites. Then, m⁶ATEpre detected the translation gene by analyzing the Ribo-seq data under YTHDF1 knockdown vs control condition. Genes whose translation is mediated by YTHDF1 in an m⁶A-dependent manner were identified by a significant decrease in translation efficiency upon YTHDF1 knockdown. Next, we proposed a binary vector indicating the presence or absence of YTHDF1 binding motifs to characterize each m⁶A site sequence. This represents a novel feature representation strategy for m⁶A sites. m⁶ATEpre utilized the autoencoder to extract the potentially important feature representations and constructed a multilayer perceptron neural networks model to predict potential m⁶A sites that regulating translation efficiency. ResultsA comprehensive evaluation of m⁶ATEpre was conducted through a series of experiments. We compared its performance against that of a similar prediction task model, as well as other classifiers. The results indicate that m⁶ATEpre achieved the best prediction performance. In addition, we analyzed different feature representation strategies and performed ablation experiments to validate the rationality of the model design. The results demonstrate that our proposed feature representation strategy has a greater advantage in improving prediction performance. In the HeLa cell line, bioinformatic analysis of the metagene distribution and sequence minimum free energy of m⁶A sites regulating translation efficiency (m⁶A-reg-TE sites) revealed their specific properties in translation regulation. Functional enrichment analysis indicated that m⁶A-reg-TE genes are associated with specific biological processes and KEGG pathways. By integrating the binding sites of YTHDF1 co-factors with m⁶A-reg-TE sites, we revealed that YTHDF1-mediated and m⁶A-dependent translation efficiency regulation requires the cooperation of multiple translation-regulatory RNA-binding proteins among its co-factors in the HeLa cell line. Furthermore, we extended our predictions to the dataset of the HEK293T cell line. Similarly, bioinformatic analysis of the metagene distribution and functional enrichment revealed the cell-specific characteristic of these predicted m⁶A-reg-TE sites in HEK293T cells. Likewise, integrated analysis of multiple YTHDF1 co-factors and m⁶A-reg-TE sites predicted in the HEK293T cell line reveals their m⁶A-dependent cooperation in regulating translation efficiency. Conclusionm⁶ATEpre is a timely tool that will advance our understanding of the mechanisms of m⁶A regulation in translation efficiency. The source code and datasets used in this work can be downloaded from https://www.scidb.cn/s/bAZZFr.

Objective:To investigate the current use of ulinastatin in the treatment of critically ill children by pediatricians in China.Methods:A anonymous questionnaire survey was conducted among 147 pediatric critical care physicians from 36 hospitals across 16 provinces,autonomous regions,and municipalities in China.The survey content consists of three parts: respondents' basic information, the application status of ulinastatin, and the clinical indicators referenced for evaluating the use of ulinastatin. Descriptive statistical analysis was performed on the collected data.Results:Among the 147 respondents,99.32%(146/147) were from tertiary hospitals；72.11%(106/147) worked in specialized ICUs,and 4.08%(6/147)in emergency medicine departments.A total of 68.03%(100/147) of the physicians reported using ulinastatin in clinical practice.The main diseases for which ulinastatin was used were pancreatitis(26.40%),sepsis and septic shock(23.76%),capillary leak syndrome(21.78%),acute respiratory distress syndrome(8.91%),and disseminated intravascular coagulation(6.27%).A total of 90.00% of physicians combined ulinastatin with other medications,including glucocorticoids(26.82%),albumin(23.51%),plasma(17.22%),and immunoglobulins(13.58%). Clinical indicators referenced during ulinastatin use included elevated interleukin(IL)-6(76.87%),tumor necrosis factor-α(44.22%),IL-8(31.97%),IL-1(19.73%),IL-18(10.20%),blood lactate(59.18%),decreased serum albumin levels(70.07%),increased pleural or peritoneal effusion(67.35%),skin and mucosal edema(65.31%),and elevated thrombomodulin among the four coagulation parameters(58.50%).Conclusion:Ulinastatin is mainly used for the treatment of critical illnesses such as pancreatitis and sepsis.Most physicians combine ulinastatin with other drugs,such as glucocorticoids and albumin.Clinical indicators commonly referenced when using ulinastatin include elevated IL-6,increased lactate,and increased pleural effusion,which suggest a high inflammatory state and endothelial damage.

Objective:To explore the clinical features of death in children with acute encephalopathy associated with influenza and corona virus disease 2019（COVID-19）and to enhance pediatrician's understanding of this disease.Methods:Clinical data of children with influenza and COVID-19-related acute encephalopathy hospitalized in Pediatric Intensive Care Unit of Children's Hospital Affiliated to Soochow University from September 2021 to July 2023 were retrospectively analyzed.The cases were divided into survival group and death group according to outcome.The general condition，clinical manifestations，auxiliary examination and treatment between the two groups were compared and analyzed.Results:A total of 41 pediatric patients were enrolled.In the death group,there were 17 cases,including 15 cases of acute necrotizing encephalopathy (ANE); among them,there were 7 male patients and 10 female patients,with a median age of 3.50 years.Eight patients were infected with influenza A virus,3 with influenza B virus,and 6 with SARS-CoV-2.The survival group comprised 24 cases,including 10 cases of ANE; among them,there were 16 male patients and 8 female patients,with a median age of 4.33 years.Fourteen patients were infected with influenza A virus,4 with influenza B virus,and 6 with SARS-CoV-2.None of the patients in the death group has received influenza and COVID-19 vaccines within 1 year before infection.Common symptoms were fever and disturbance of consciousness in the death group，eight cases had mild cough，seven cases had convulsions ≥three times，one case had two convulsions，nine cases had only one seizure，of which five cases were epileptic status.One case had delirium before convulsions.Seventeen cases began to fall into a coma (6.50±1.50) hours after their first onset of convulsion.Two patients had secondary pulmonary infection.Nine cases showed significantly elevated interleukin-6,while 17 cases had normal cerebrospinal fluid cell counts and 14 cases had elevated protein levels.All 17 cases underwent cranial CT scans,among which 13 showed symmetric necrosis of the bilateral thalami.All patients in the death group underwent glucocorticoid and intravenous immunoglobulin pulse therapy.Eleven patients received continuous renal replacement therapy,ten patients received intrathecal dexamethasone injection,and two patients were treated with tocilizumab.One patient underwent extracorporeal membrane oxygenation.Among the eight influenza patients,neuraminidase inhibitors were first administered 48 hours after the onset of fever.None of the six patients infected with SARS-CoV-2 received nirmatrelvir/ritonavir antiviral treatment.The causes of death in 17 patients included ANE(15 cases) and secondary infections(2 cases).Compared with the survival group,the incidence of brainstem involvement,shock,and low Glasgow coma scores (GCS ≤ 4) were significantly higher in the death group(15/17 vs.2/24， χ 2=26.18， P<0.001；16/17 vs.5/24， χ 2=21.39， P<0.001；14/17 vs.5/24， χ 2=15.15， P<0.001). Conclusion:Acute encephalopathy is primarily characterized by recurrent convulsions and disturbances of consciousness.Influenza and COVID-19 are the main causes.Cranial imaging is helpful for clinical diagnosis.Involvement of the brainstem,occurrence of shock,and GCS≤4 are associated with a higher fatality rate of ANE.

Objective:To investigate the current use of ulinastatin in the treatment of critically ill children by pediatricians in China.Methods:A anonymous questionnaire survey was conducted among 147 pediatric critical care physicians from 36 hospitals across 16 provinces,autonomous regions,and municipalities in China.The survey content consists of three parts: respondents' basic information, the application status of ulinastatin, and the clinical indicators referenced for evaluating the use of ulinastatin. Descriptive statistical analysis was performed on the collected data.Results:Among the 147 respondents,99.32%(146/147) were from tertiary hospitals；72.11%(106/147) worked in specialized ICUs,and 4.08%(6/147)in emergency medicine departments.A total of 68.03%(100/147) of the physicians reported using ulinastatin in clinical practice.The main diseases for which ulinastatin was used were pancreatitis(26.40%),sepsis and septic shock(23.76%),capillary leak syndrome(21.78%),acute respiratory distress syndrome(8.91%),and disseminated intravascular coagulation(6.27%).A total of 90.00% of physicians combined ulinastatin with other medications,including glucocorticoids(26.82%),albumin(23.51%),plasma(17.22%),and immunoglobulins(13.58%). Clinical indicators referenced during ulinastatin use included elevated interleukin(IL)-6(76.87%),tumor necrosis factor-α(44.22%),IL-8(31.97%),IL-1(19.73%),IL-18(10.20%),blood lactate(59.18%),decreased serum albumin levels(70.07%),increased pleural or peritoneal effusion(67.35%),skin and mucosal edema(65.31%),and elevated thrombomodulin among the four coagulation parameters(58.50%).Conclusion:Ulinastatin is mainly used for the treatment of critical illnesses such as pancreatitis and sepsis.Most physicians combine ulinastatin with other drugs,such as glucocorticoids and albumin.Clinical indicators commonly referenced when using ulinastatin include elevated IL-6,increased lactate,and increased pleural effusion,which suggest a high inflammatory state and endothelial damage.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Objective To explore the distribution characteristics and influencing factors of nasal colonized bacteria of healthcare workers(HCWs)in pediatric intensive care unit(PICU).Methods A cross-sectional study was con-ducted.Nasal swab specimens from 104 HCWs in the PICU of a hospital were collected for bacterial culture and an-timicrobial susceptibility testing.According to the identification and antimicrobial susceptibility testing results of strains,distribution characteristics of colonized bacteria was analyzed.Basic information of studied subjects were collected through questionnaire survey,and risk factors for colonized bacterial infection were conducted using logis-tic regression analysis.Results Among 104 specimens,colonized bacteria were detected from 66 specimens,with an overall detection rate of 63.46％.Gram-positive bacteria was mainly Staphylococcus aureus,with a detection rate of 34.62％(n=36),out of which methicillin-resistant Staphylococcus aureus(MRSA)accounted for 2.88％(n=3).Gram-negative bacteria was mainly Klebsiella spp.,with a detection rate of 21.15％(n=22).Multiva-riate logistic regression analysis showed that HCWs with junior professional titles(OR=11.400,95％CI:2.329-55.801,P=0.003)was an independent risk factor for Staphylococcus aureus colonization,and male(OR=4.260,95％CI:1.160-15.653,P=0.029)was an independent risk factor for Klebsiella spp.colonization.Conclusion Nasal cavity of HCWs in PICU has a high detection rate of colonized bacteria,with Staphylococcus aureus and Klebsiella spp.being the major colonized bacteria.

Lung cancer is the leading cause of death worldwide. With the prevalence of CT screening and early diagnosis and treatment of lung cancer in China, more and more patients with early-stage lung cancer characterized with ground-glass opacity are discovered and urgently require treatment, which poses a significant challenge to surgeons. As an emerging technology, three dimensional reconstruction technology plays a crucial auxiliary role in clinical work. This review aims to briefly introduce this technology, focusing on its latest advances in surgical applications in early lung cancer screening, malignant risk assessment, and perioperative period application and medical education.

BackgroundAtypical antipsychotics have been widely used in patients with chronic schizophrenia， and aripiprazole and risperidone are the most commonly used drugs. The mechanism of action of the two is different， while previous studies have provided insufficient credible evidence from multiple perspectives to support the comparative efficacy of the two drugs in improving symptoms in patients with chronic schizophrenia. ObjectiveTo compare the efficacy of aripiprazole and risperidone on the improvement of symptoms， prepulse inhibition （PPI）， cognitive functioning and neurotrophic factors in patients with chronic schizophrenia， so as to provide effective treatment regimens for these patients. MethodsA total of 86 patients with chronic schizophrenia attending the psychiatry department of the Third People's Hospital of Fuyang from March 2021 to March 2023 and fulfilling the diagnostic criteria of International Classification of Diseases， tenth edition （ICD-10） were enrolled and grouped using random number table method， each with 43 cases. Aripiprazole group was given oral aripiprazole once daily at an initial dose of 5 mg for one week and then gradually increased to a maximum dose of 25 mg. Risperidone group received oral risperidone twice daily at an initial dose of 0.5 mg for one week and then gradually increased to a maximum dose of 3 mg. Treatment in both groups lasted 3 months. Before treatment and 3 months after treatment， Patients were required to complete Positive and Negative Symptom Scale （PANSS）， detection of both strong and weak PPIs in a startle modification passive attention paradigm， Wisconsin Card Sorting Test （WCST） and the measurement of neurotrophic factors at baseline and after treatment. The adverse reactions were recorded. Analysis of covariance was used to test the difference between the PANSS score， PPI， WCST and neurotrophic factor levels of the groups， with the pretest used as the covariate. Results3 months after treatment， no statistical difference was found in the scores of PANSS general psychopathology subscale， positive symptom subscale， negative symptom subscale and total score between two groups after treatment （F=0.621， 0.815， 0.743， 0.752， P>0.05）. There were no statistically significant differences between the two groups in PPI inhibition rate， single intense stimulus amplitude， single intense stimulus latency， prepulse inhibition amplitude， or prepulse inhibition latency （F=0.174， 0.001， 0.183， 0.171， 0.001， P>0.05）. There was no statistically significant difference in the total number of WCST tests between two groups （F=0.512， P>0.05）， whereas aripiprazole group reported significantly larger total numbers of categories completed and correct responses as well as smaller total numbers of random errors and perseverative errors compared to risperidone group （F=3.737， 4.621， 4.892， 5.130， P<0.05）. A significant increase in brain-derived neurotrophic factor （BDNF） and nerve growth factor （NGF） along with a reduction in glial fibrillary acidic protein （GFAP） were documented in risperidone group when compared to risperidone group （F=4.414， 3.781， 6.319， P<0.05）. No significant difference was demonstrated in the incidence of adverse reactions between the two groups （χ²=0.261， P>0.05）. ConclusionAripiprazole may be more beneficial than risperidone in improving cognitive functioning and neurotrophic factor levels in patients with chronic schizophrenia. ［Funded by Scientific Research Project of Fuyang Municipal Health Commission in 2021 （number， FY2021-147）］

Objective To analyze the risk factors for prolonged length of hospital stay in patients with peritoneal dialysis associated peritonitis(PDAP)and construct a nomogram based on Logistic regression model.Methods A retrospective study was conducted on patients with PDAP who were hospitalized at the Affiliated Hospital of Jiangsu University from January 2013 to December 2023.Using the 75th percentile of hospitalization time as the cutoff(>21 days),the patients were divided into prolonged length of hospital stay group and normal length of hospital stay group.Clinical data were compared between the two groups.Logistic regression analysis was used to analyze the risk factors for prolonged hospital stay in PDAP patients and to construct a nomogram.Results A total of 131 PDAP patients were included in this study,including 40 cases in prolonged length of hospital stay group and 91 cases in normal length of hospital stay group.Multivariate Logistic regression analysis showed that Gram-negative bacteria detected in ascites(OR=6.012,95% CI=1.878-19.248,P=0.003)and elevated platelet count(OR=1.010,95% CI=1.005-1.015,P<0.001)were independent risk factors for prolonged length of hospital stay,while elevated serum chloride(OR=0.885,95% CI=0.802-0.978,P=0.016)was a protective factor.Based on the above three indicators,a nomogram was constructed.The multivariate Logistic regression model showed an area under the receiver operating characteristic curve(AUC)of 0.755,with an internal validation AUC of 0.727 using the Bootstrap method.The calibration curve indicated that the predicted probability was consistent with the actual probability.The decision curve showed that the model was clinically applicable when the threshold probabilities were 9%-10%,13% and 18%-92%.Conclusion A nomogram,based on the detection of gram-negative bacteria in ascites,platelet count and serum chloride,was helpful for clinical screening PADP patients at risk for prolonged length of hospital stay,and can provide a basis for optimizing clinical decision-making.
Humans ; Nomograms ; Risk Factors ; Peritoneal Dialysis/adverse effects* ; Retrospective Studies ; Length of Stay ; Peritonitis/etiology* ; Logistic Models ; Male ; Female ; Middle Aged ; Aged

Objective: To investigate the expressions of GPR15 and FOXP3 in colorectal carcinoma(CRC) tissues and their clinical prognostic values. Methods : A total of 132 patients with CRC underwent radical surgery were collected. The control group selected the normal mucosal tissues more than 5 cm away from the edge of the cancer focus. Immunohistochemistry(Envision two-step method) was used to detect the expression levels of GPR15 and FOXP3 in CRC and adjacent tissues, and analyze their relationships with clinicopathological factors of colorectal cancer. Kaplan-Meier method was used to draw the survival curve to analyze the correlation between the expressions of GPR15 and FOXP3 and the survival prognosis of patients with CRC. The factors influencing prognosis of patients with colorectal cancer were analyzed by Cox regression. Results : The immunohistochemistry showed that the expression levels of GPR15 and FOXP3 in CRC were significantly higher than those in normal colorectal mucosal tissues(P<0.05). The expression of GPR15 in CRC tissues was correlated with location, nerve invasion and TNM stage; FOXP3 expression was correlated with sex(P<0.05).Both expressions were not significantly correlated with the clinicopathologic features of age, tumor size, differentiation degree, tissue type, depth of invasion, tumor budding, vascular invasion and lymph node metastasis. Correlation analysis showed that there was no significant correlation between GPR15 and FOXP3 expression(Kappa=-0.019,P>0.05). The survival prognosis of GPR15 positive group was significantly worse than that of negative group(log-rank: χ2=4.3,P=0.039);while the survival prognosis of FOXP3 positive group was significantly better than that of negative group(log-rank: χ2=7.3,P=0.007).Age ≤55 years, positive GPR15 and negative FOXP3 were independent risk factors for poor prognosis in patients with CRC(P<0.05). Conclusion The expression levels of GPR15 and FOXP3 in CRC are significantly higher than those in paracancer tissues, GPR15 and FOXP3 are expected to become new tumor markers for early screening, accurate treatment and prognosis assessment of CRC.