OBJECTIVES: To study clinical manifestations and gene mutation features of neonates with centronuclear myopathy. METHODS: A retrospective analysis was conducted on the medical data of 5 neonates with centronuclear myopathy diagnosed in the Neonatal Intensive Care Unit of Children's Hospital, Zhejiang University School of Medicine from January 2020 to August 2024. The data included gender, gestational age, birth weight, Apgar score, clinical manifestations, creatine kinase level, electromyography, genetic testing results and the outcomes of the infants. RESULTS: All 5 male neonates had a history of postpartum asphyxia and resuscitation. They all presented with hypotonia, myasthenia, and respiratory failure; two neonates also had swallowing dysfunction. Of the five neonates, three had normal creatine kinase levels, while two had slightly elevated levels. Electromyography was performed for three neonates, among whom two had myogenic damage. MTM1 gene mutations were identified by genetic testing in all five neonates, including two nonsense mutations and three missense mutations, among which one variant had not been previously reported. Four mutations were inherited from the mother, and the other one was a de novo mutation. The five neonates showed no clinical improvement following treatment, failed weaning from mechanical ventilation, and ultimately died after withdrawal of life-sustaining therapy. CONCLUSIONS Centronuclear myopathy caused by MTM1 gene mutation often has a severe phenotype and a poor prognosis, and it should be considered for neonates with hypotonia and myasthenia after birth. Genetic testing should be performed as soon as possible.
Humans ; Myopathies, Structural, Congenital/genetics* ; Male ; Infant, Newborn ; Retrospective Studies ; Mutation ; Female ; Protein Tyrosine Phosphatases, Non-Receptor/genetics*

Instrument separation is a critical complication during root canal therapy, impacting treatment success and long-term tooth preservation. The etiology of instrument separation is multifactorial, involving the intricate anatomy of the root canal system, instrument-related factors, and instrumentation techniques. Instrument separation can hinder thorough cleaning, shaping, and obturation of the root canal, posing challenges to successful treatment outcomes. Although retrieval of separated instrument is often feasible, it carries risks including perforation, excessive removal of tooth structure and root fractures. Effective management of separated instruments requires a comprehensive understanding of the contributing factors, meticulous preoperative assessment, and precise evaluation of the retrieval difficulty. The application of appropriate retrieval techniques is essential to minimize complications and optimize clinical outcomes. The current manuscript provides a framework for understanding the causes, risk factors, and clinical management principles of instrument separation. By integrating effective strategies, endodontists can enhance decision-making, improve endodontic treatment success and ensure the preservation of natural dentition.
Humans ; Root Canal Therapy/adverse effects* ; Consensus ; Root Canal Preparation/adverse effects*

AIM:The effects and mechanisms of paeoniflorin(PF)on sepsis-associated acute kidney injury(SA-AKI)in mice were investigated based on cellular pyroptosis and the JNK/NEK7/NLRP3 pathway.METHODS:A murine SA-AKI model was established by intraperitoneal injection of lipopolysaccharide(LPS).Twenty-four male C57BL/6J mice aged 6～8 weeks were divided into four groups(n=6)using a randomized numerical table method:control(Con)group(an equal amount of DMSO-containing PBS was injected intraperitoneally at the same time);LPS group(LPS was injected intraperitoneally at 15 mg/kg);LPS+PF group(PF was injected intraperitoneally at 50 mg/kg for 30 min prior to modeling);and LPS+PF+anisomycin group(intraperitoneal injection of PF 50 mg/kg and JNK agonist anisomycin 20 mg/kg 30 min before modeling).Samples were taken 24 h after modeling.HE staining was used to observe the pathological changes in renal tissues,and Paller scoring of renal injury was performed.ELISA was used to detect the levels of renal in-jury markers:blood creatinine(Scr),kidney injury molecule 1(KIM-1),and the inflammatory factors interleukin 1β(IL-1β)and IL-18.Western blot was used to detect changes in phosphorylated c-Jun N-terminal kinase(p-JNK),NIMA-relat-ed expressed kinase 7(NEK7),nucleotide oligomerization domain(NOD)-like receptor protein 3(NLRP3),and N-ter-minal fragment of gasdermin D(GSDMD-N)protein levels.RESULTS:Compared with the Con group,HE staining in the LPS group showed congestion and edema in renal tissues,granular or cell-like tubular patterns in the dilated tubular lu-men of renal tubules,and congestion and edema in the renal interstitium.Paller scores,Scr,serum KIM-1,IL-1β,and IL-18 levels in renal tissues were elevated(P<0.05).The expression of p-JNK,NEK7,NLRP3,and GSDMD-N also in-creased(P<0.05).Compared with the LPS group,the LPS+PF group exhibited reduced renal histopathological injury,decreased Paller score,Scr,serum KIM-1,IL-1β,and IL-18 levels(P<0.05),and decreased protein expression of p-JNK,NEK7,NLRP3,and GSDMD-N(P<0.05).Compared with the LPS+PF group,the LPS+PF+anisomycin group showed increased renal histopathological injury,Paller score,Scr,serum KIM-1,IL-1β,and IL-18 levels(P<0.05),and increased expression of p-JNK,NEK7,NLRP3,and GSDMD-N(P<0.05).CONCLUSION:Paeoniflorin may at-tenuate SA-AKI by inhibiting the JNK/NEK7/NLRP3 signaling pathway and downregulating cellular pyroptosis.

Objective:To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.Methods:The patients with septic shock meeting the Sepsis-3 criteria were selected from Medical Information Mart for Intensive Care-Ⅳ v2.0 (MIMIC-Ⅳ v2.0). According to the principle of random allocation, 70% of these patients were used as the training set, and 30% as the validation set. Relevant predictive variables were extracted from three aspects: demographic characteristics and basic vital signs, serum indicators within 24 hours of intensive care unit (ICU) admission and complications possibly affecting indicators, functional scoring and advanced life support. The predictive efficacy of models constructed using five mainstream machine learning algorithms including decision tree classification and regression tree (CART), random forest (RF), support vector machine (SVM), linear regression (LR), and super learner [SL; combined CART, RF and extreme gradient boosting (XGBoost)] for 28-day death in patients with septic shock was compared, and the best algorithm model was selected. The optimal predictive variables were determined by intersecting the results from LASSO regression, RF, and XGBoost algorithms, and a predictive model was constructed. The predictive efficacy of the model was validated by drawing receiver operator characteristic curve (ROC curve), the accuracy of the model was assessed using calibration curves, and the practicality of the model was verified through decision curve analysis (DCA).Results:A total of 3?295 patients with septic shock were included, with 2?164 surviving and 1?131 dying within 28 days, resulting in a mortality of 34.32%. Of these, 2?307 were in the training set (with 792 deaths within 28 days, a mortality of 34.33%), and 988 in the validation set (with 339 deaths within 28 days, a mortality of 34.31%). Five machine learning models were established based on the training set data. After including variables at three aspects, the area under the ROC curve (AUC) of RF, SVM, and LR machine learning algorithm models for predicting 28-day death in septic shock patients in the validation set was 0.823 [95% confidence interval (95% CI) was 0.795-0.849], 0.823 (95% CI was 0.796-0.849), and 0.810 (95% CI was 0.782-0.838), respectively, which were higher than that of the CART algorithm model (AUC = 0.750, 95% CI was 0.717-0.782) and SL algorithm model (AUC = 0.756, 95% CI was 0.724-0.789). Thus above three algorithm models were determined to be the best algorithm models. After integrating variables from three aspects, 16 optimal predictive variables were identified through intersection by LASSO regression, RF, and XGBoost algorithms, including the highest pH value, the highest albumin (Alb), the highest body temperature, the lowest lactic acid (Lac), the highest Lac, the highest serum creatinine (SCr), the highest Ca 2+, the lowest hemoglobin (Hb), the lowest white blood cell count (WBC), age, simplified acute physiology score Ⅲ (SAPSⅢ), the highest WBC, acute physiology score Ⅲ (APSⅢ), the lowest Na +, body mass index (BMI), and the shortest activated partial thromboplastin time (APTT) within 24 hours of ICU admission. ROC curve analysis showed that the Logistic regression model constructed with above 16 optimal predictive variables was the best predictive model, with an AUC of 0.806 (95% CI was 0.778-0.835) in the validation set. The calibration curve and DCA curve showed that this model had high accuracy and the highest net benefit could reach 0.3, which was significantly outperforming traditional models based on single functional score [APSⅢ score, SAPSⅢ score, and sequential organ failure assessment (SOFA) score] with AUC (95% CI) of 0.746 (0.715-0.778), 0.765 (0.734-0.796), and 0.625 (0.589-0.661), respectively. Conclusions:The Logistic regression model, constructed using 16 optimal predictive variables including pH value, Alb, body temperature, Lac, SCr, Ca 2+, Hb, WBC, SAPSⅢ score, APSⅢ score, Na +, BMI, and APTT, is identified as the best predictive model for the 28-day death risk in patients with septic shock. Its performance is stable, with high discriminative ability and accuracy.

Objective To explore the effect of Endoanal advancement flap(ERAF)and transanal opening of interphincteric space(TROPIS)in the treatment of complex anal fistula and their impact on anorectal pressure,so as to provide a reference for clinical selection of surgical methods.Methods Eighty-four patients with complex anal fistula admitted from October 2018 to October 2022 were divided into group E received ERAF treatment(n=48)and group T received TROPIS treatment(n=36).The clinical efficacy,operation,wound surface and anorectal pressure of the two groups were compared.Results The effective rate of treatment in Group T was 97.22％,which was higher than that in Group E(87.50％),with no statistically significant difference(P＞0.05).The surgical time[(31.53 ±7.29)minutes],intraoperative bleeding volume[(29.56±7.37)ml],and wound area[(10.03± 0.96)cm2,(8.76±0.87)cm2,(6.20±0.77)cm2]on the day of surgery,7 and 14 days after surgery in Group T were all smaller than those in Group E[(35.36±8.54)min,(36.86±8.04)ml,(12.09± 1.23)cm2,(10.52±1.09)cm2 and(7.36±0.85)cm2](P＜0.05).After surgery,the VAS score and Wexner incontinence score of Group T were(1.38±0.27)and(0.21±0.08),respectively.Group E was(1.56±0.29)and(0.33±0.09),respectively.In group T,the anorectal systolic pressure at 20 mm and 30 mm and the anorectal resting pressure at 20 mm and 30 mm were(138.18±29.58)mmHg,(136.22±35.41)mmHg,(35.47±6.58)mmHg,and(32.97±8.01)mmHg,respectively.In Group E,the data was(152.78±31.53)mmHg,(156.29±32.74)mmHg,(38.29±7.62)mmHg and(36.41±7.63)mmHg,respectively.Both groups showed a decrease in score and anorectal pressure,and group T was lower than group E(P＜0.05).The incidence of adverse reactions in Group E was 20.83％,which was higher than that in Group T(11.11％),but the difference was not statistically significant(P＞0.05).Conclusion TROPIS has a better effect in the treatment of complex anal fistula,which can shorten the operation time,reduce intraoperative bleeding,reduce postoperative pain,and protect anal function.

Objective To investigate the application value of CT perfusion imaging in patient with traumatic brain injury(TBI).Methods Thirty-seven patients with TBI were included retrospectively and divided into mild,moderate,and severe groups according to Glasgow coma scale(GCS)score.Perfusion parameters of the cerebral hemispheres on the injured side and the contralateral side of the level of basal ganglia were compared.After three months,the correlations between perfusion parameters and GCS score at baseline and Glasgow outcome scale-extended(GOSE)score at follow-up were further analyzed,respectively.Results The injured side of TBI patients showed hypo-perfusion compared with that of the contralateral side.The abnormal perfusion volumes of time to maximum of the residual function(Tmax)>10 s was significantly negatively correlated with GOSE score(ρ=-0.55,P=0.01),and could distinguish the good prognosis group from the poor prognosis group with GOSE score[area under the curve(AUC)=0.82,P= 0.01].In the group of patients undergoing decompressive craniectomy,the abnormal perfusion volumes of Tmax>4 s and Tmax>6 s were significantly associated with GCS score(ρ=0.61,P=0.01;ρ=0.53,P=0.03).Conclusion CT perfusion imaging may be useful in assessing the hemodynamics and severity of TBI,and in predicting the clinical prognosis.

Objective To establish a prediction model for lymph node metastasis(LNM)of gastric cancer based on routine laboratory indicators using machine learning algorithms.Methods This study collected data of 741 gastric cancer patients at Affiliated Hospital of Nantong University between January 2020 and January 2022 for model training and testing.Additionally,data of 102 gastric cancer patients between January 2023 and October 2023 were collected for model validation.XGBoost algorithm was used to calculate the importance of indicators and filter out a set of important indicators from 66 indicators.Five machine learning algorithms,including K-Nearest Neighbor,Support Vector Machine,Multilayer Perceptron,Random Forest and Adaboost,were constructed and trained for comparative analysis.Furthermore,the stability and accuracy of the model were further validated on the validation set.Results This study selected a set of important indicators composed of 9 routine laboratory indicators and trained the gastric cancer LNM prediction model,named V9.Additionally,through comparative experiments,it was found that the Adaboost algorithm based on the boosting strategy had the best performance,with evaluation metrics such as area under the curve,F1 score,accuracy,sensitivity,and specificity ranging from 0.833 to 0.968.The accuracy of the predictions on the validation set was 94.12%.Conclusion V9 was a gastric cancer LNM prediction model that has auxiliary clinical diagnostic value.It can be used to assess the risk of patients accurately and provide a basis for clinical decision-making.

Patient 1,a 12-day-old female infant,presented with fever,cough,dyspnea,and elevated infection markers,requiring respiratory support.Metagenomic next-generation sequencing(mNGS)of blood and bronchoalveolar lavage fluid revealed Legionella pneumophila(LP),leading to diagnoses of LP pneumonia and LP sepsis.The patient was treated with erythromycin for 15 days and azithromycin for 5 days,resulting in recovery and discharge.Patient 2,an 11-day-old female infant,presented with dyspnea,fever,elevated infection markers,and multiple organ dysfunction,requiring mechanical ventilation.mNGS of blood and cerebrospinal fluid indicated LP,leading to diagnoses of LP pneumonia,LP sepsis,and LP intracranial infection.The patient was treated with erythromycin for 19 days and was discharged after recovery.Neonatal LP pneumonia lacks specific clinical symptoms,and azithromycin is the preferred antimicrobial agent.The use of mNGS can provide early and definitive diagnosis for severe neonatal pneumonia of unknown origin.

Aim To explore the differences in sedative and hypnotic effects of Semen Ziziphi Spinosae(SZS)before and after processing based on network pharma-cology and animal experiments.Methods The chemi-cal components and corresponding targets of SZS were collected through relevant platforms and databases,the insomnia and sleep disorder targets were retrieved,and the intersection targets of drugs and diseases were ob-tained.The protein interaction relationships were con-structed,and the Chinese medicinal herb-component-target-pathway network was drawn.Then database was used to analyze pathway enrichment.Based on the pre-dicted results,the effects of different SZS products on Kunming mice were evaluated through pentobarbital in-duced sleep test,behavioral analysis,brain tissue relat-ed gene mRNA levels,and plasma neurotransmitters.Results The target genes related to SZS and insomnia were acetylcholinesterase(ACHE),alpha-1B adrener-gic receptor(ADRA1B),solute carrier family 6(neu-rotransmitter transporter,serotonin),member 4(SLC6 A4),which might play a role through 9 related pathways and 69 biological processes such as calcium signaling pathway,salivary secretion,and so on.In vi-vo experiments found that SZS could reduce mouse ac-tivity,enhance the hypnotic effect of pentobarbital sodi-um,lower the levels of ACEE,ADRA1B,and SLC6A4 mRNA in cortex and hippocampus,and regulate the levels of acetylcholine,adrenaline,and other substances in plasma,all of which could be used in combination with raw and fried methods.The effect was proportion-al to the dosage of the drug.Conclusions SZS has sedative and hypnotic effects,and high doses of crude and parched SZS combined decoction have better effects.This effect may be caused by affecting the lev-els of neurotransmitters and their related receptors,me-diating the central nervous system.

Aim To compare the pharmacokinetics of pemirolast potassium tablets in healthy subjects in Chi-na under single fasting and postprandial conditions,and to evaluate the bioequivalence of the test prepara-tion(T)and the reference preparation(R).Methods A randomized,open-ended,single-dose,two-cycle,double-cross bioequivalence trial design was adopted,and 26 and 30 subjects were enrolled in the fasting group and the postprandial group,respectively,and 10 mg of the test preparation and the reference preparation were taken in the fasting or postprandial state each cy-cle,and venous blood was collected at the designed time points before and after the administration cycle.The concentration of pemirolast potassium in plasma was determined by LC-MS/MS method,and the phar-macokinetic parameters were calculated with PhoenixTM WinNonlin ?(8.3)software,and the bioequivalence analysis of the two preparations was performed.Re-sults The t1/2 of the test preparation and the reference preparation was(4.44±0.91)h and(4.49±0.93)h,respectively;the median tmax was(1.96±1.29)h and(2.18±1.25)h,respectively;the Cmax was(867.12±205.56)μg·L-1 and(863.35±172.03)μg·L-1,respectively;the AUC0-t was(5 513.23±1463.67)h·μg·L-1 and(5 661.32±1 628.65)h·μg·L-1,respectively;AUC0_∞ was(5 699.81±1477.68)h·μg·L-1 and(5 849.44±1 644.75)h·μg·L-1,respectively.The statistical results of the 90％confidence intervals of the main pharmacokinetic parameters Cmax,AUC0-t,and AUC0-∞ was 92.49％～107.53％,94.71％～100.67％and 95.28％～100.27％,respectively,all of which were within the range of 80.00％～125.00％,and the safety of the tested preparation and the reference preparation was good when taken orally on an empty stomach.The t1/2 of single oral administration after prandial administra-tion of the tested preparation and the reference prepara-tion was(4.46±0.78)and(4.51±0.84)h,respec-tively;the median tmax was(3.08±1.36)h and(3.28±1.28)h,respectively;the Cmax was(683.83±111.87)μg·L-1 and(689.77±110.24)μg·L-1,respectively;the AUC0-t was(5 695.99±1566.05)h·μg·L-1 and(5 773.60±1 551.04)h·μg·L-1,respectively;the AUC0-∞ was(5 914.06±1 551.86)h·μg·L-1 and(5 967.30±1552.89)h·μg·L-1,respectively.The 90％confi-dence interval of Cmax,AUC0-t,and AUC0-∞ was 93.56％～104.69％,96.43％～100.83％,and 97.29％～101.14％,respectively,which was in the range of 80.00％～125.00％,and the safety of the tested preparation and the reference preparation was good after meals.Conclusion In the state of fasting and postprandial single oral administration,the two kinds of pemirolast potassium tablets have good bio-equivalence.