Objective To develop an erythrocyte-based delivery system for butyrylcholinesterase(BChE)that is capable of prophylaxis against organophosphorus nerve agents.Methods Recombinant BChE was produced and analyzed for oligomerization via polyacrylamide gel electrophoresis(PAGE)and Western blotting.A modified hypotonic preswelling method was employed to prepare BChE-loaded erythrocytes.The drug loading capacity and encapsulation efficiency were quantified using enzyme-linked immunosorbent assay(ELISA).Catalytic activity was assessed in vitro with an activity detection kit.The system was characterized via scanning electron microscopy(SEM),flow cytometry and a hematology analyzer.Results Recombinant BChE predominantly existed as dimers(85％dimer,15％monomer).The optimized volume ratio of erythrocytes to hypotonic solution was determined as 1:7.Compared with native and empty erythrocytes,BChE-loaded erythrocytes exhibited significantly higher catalytic activity(P＜0.001).The mean corpuscular volume of BChE-loaded erythrocytes increased(P＜0.001),while the mean content of corpuscular hemoglobin and hemoglobin in erythrocytes per 100 mL decreased(P＜0.001).SEM revealed no morphological differences(biconcave disc shape).Hypotonic preswelling moderately increased erythrocyte apoptosis(P＜0.001),but no statistical difference was observed between BChE-loaded and hypotonic-treated erythrocytes(P＞0.05).CD47 expression remained unchanged compared to native erythrocytes(P＞0.05).Conclusion The modified hypotonic preswelling method can generate BChE-loaded erythrocytes that retain the characteristics of native erythrocytes while conferring catalytic activity,offering a novel strategy for clinical intervention against organophosphorus poisoning.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective To investigate the relationship between the levels of serum circular RNA protein tyrosine phosphatase 4A2(circ_PTP4A2),circular RNA precocious dissociation of sisters 5 homolog B(circ_PDS5B)and the volume of cerebral infarction and the degree of neurological deficits in patients with acute is-chemic stroke(AIS).Methods Ninety patients with AIS who visited the hospital from January 2021 to De-cember 2023 were selected as the AIS group,and 90 healthy individuals who underwent physical examinations during the same period were selected as the control group.The levels of serum circ_PTP4A2 and circ_PDS5B were detected by real-time fluorescence quantitative PCR,the volume of cerebral infarction was measured by magnetic resonance diffusion tensor imaging,and the degree of neurological deficit was evaluated by the Na-tional Institutes of Health Stroke Scale(NIHSS)score.According to the volume of cerebral infarction,they were divided into large-volume group(volume of cerebral infarction≥ 20 cm3,29 cases),medium-volume group(1 cm3＜volume of cerebral infarction＜20 cm3,34 cases),and small-volume group(volume of cerebral infarction≤ 1 cm3,27 cases),and according to the NIHSS scores,patients with AIS were classified into the se-vere group(NIHSS scores≥21 points,27 cases),the moderate group(NIHSS scores 5-20 points,32 cases)and the mild group(NIHSS score≤ 4 points,31 cases).Factors contributing to the increased volume of cere-bral infarction and the increased degree of neurological deficit in patients with AIS were analyzed by ordered multi-categorical Logistic regression.Results Compared with the control group,serum circ_PTP4A2 and circ_PDS5B levels were elevated in the AIS group(P＜0.05).Serum circ_PTP4A2 and circ_PDS5B levels were sequentially increased in the small-volume group,medium-volume group,and large-volume group(P＜0.05).Serum circ_PTP4A2 and circ_PDS5B levels were sequentially increased in the mild group,moderate group,and severe group(P＜0.05).Ordered multi-categorical Logistic regression showed that high NIHSS score,high circ_PTP4A2,and high circ_PDS5B were independent risk factors for increased cerebral infarction volume in AIS patients(P＜0.05),and high cerebral infarction volume,high circ_PTP4A2,and high circ_PDS5B were independent risk factors(P＜0.05).Conclusion The elevated levels of serum circ_PTP4A2 and circ_PDS5B in AIS patients are related to the increase in cerebral infarction volume and the aggravation of neurological deficits.Early detection of serum circ_PTP4A2 and circ_PDS5B levels is helpful for risk stratification in AIS patients.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To construct a preoperative prehabilitation program for prostate cancer based on evidence-based and Delphi method, so as to provide theoretical basis for medical staff to carry out preoperative prehabilitation research for prostate cancer patients.Methods:From June 2023 to March 2024, the first draft of the prehabilitation plan for prostate cancer before surgery was formed through evidence summary, semi-structured interviews and expert meetings. The experts in related fields were selected for two rounds of Delphi expert consultation. The items were revised according to the expert consultation opinions to establish the final plan.Results:Totally 16 experts were included, aged (43.19 ± 7.57) years. Five were males and 11 were females. The response rates of the two rounds of expert consultation were both 16/16, and the authority coefficients of the two rounds expert consultation were both 0.85. The Kendall coordination coefficients of the importance and feasibility of the items in the second round of consultation were 0.213 and 0.224, both P<0.05. In the second round of consultation, the value of importance assignment of items at all levels was 4.19-4.94 points, and the full score rate was 43.75%-93.75%. The final scheme included 5 first-level items, 13 second-level items, and 34 third-level items. Conclusions:The preoperative prehabilitation program for prostate cancer is scientific, importanceand applicable, which provides a theoretical basis for clinical preoperative prehabilitation for prostate cancer patients.

Objective:This study analyzes the clinicopathological features and prognostic factors of early-stage gastric mixed adenoneuroendocrine carcinoma (G-MANEC), which is an exceedingly rare malignancy, in an effort to provide evidence-based insights for clinical decision-making.Methods:A retrospective observational study was conducted using the clinical data of 36 patients with early-stage G-MANEC who underwent surgical resection at Zhongshan Hospital, Fudan University, from July 2014 to May 2022. The observed indicators included clinicopathological data and follow-up information on recurrence, metastasis, and overall survival (OS).Results:Among the 36 patients there were 21 males and 15 females, aged 32-84 (65±11) years. The most common initial symptoms were abdominal pain and distension (19/36, 52.8%), followed by incidental findings during physical examinations (7/36, 19.4%). Tumors were located in the proximal stomach in 13 cases (36.1%), the middle stomach in 4 cases (11.1%), and the distal stomach in 19 cases (52.8%). Average tumor diameter was (2.48±1.18) cm. Gross morphology included elevated type in 12 cases (33.3%), flat type in 20 cases (55.6%), and depressed type in 4 cases (11.1%). Ulceration was present in 12 cases (33.3%). There were 11 cases (30.6%) at T1a stage and 25 cases (69.4%) at T1b stage. Lymph node metastasis was positive in 10 cases (27.8%), and the differentiation grades of the adenocarcinoma component were Grade I, II, and III in 3 (8.3%), 10 (27.8%), and 23 (63.9%) cases, respectively. Furthermore, the proportion of neuroendocrine carcinoma component was ≥50% in 18 cases (50.0%) and <50% in 18 cases (50.0%). Lymphovascular or perineural invasion was present in 18 cases (50.0%). Lauren classification included mixed type in 10 cases (27.8%), intestinal type in 19 cases (52.8%), and diffuse type in 7 cases (19.4%), and chromogranin A (CgA) positivity was found in 20 cases (55.6%). Additionally, the Ki-67 index positivity was found in 26 cases (72.2%). Total gastrectomy was performed in 12 cases (33.3%) and partial gastrectomy in 24 cases (66.7%), with a median follow-up duration of 77.5 months. The 3-year and 5-year OS rates were 88.89% and 79.67%, respectively. Univariate analysis revealed that age, gross morphology, ulceration, proportion of neuroendocrine carcinoma component, lymphovascular or perineural invasion, and chromogranin A (CgA) positivity showed statistical significance in their association with OS ( P<0.10). Multivariate Cox regression analysis further identified ulceration (HR=7.74, 95%CI: 1.24-48.30, P=0.028) and CgA positivity (HR=21.76, 95%CI: 1.86-53.97, P=0.014) as independent risk factors of OS. Conclusions:Patients with early-stage G-MANEC are typically asymptomatic, and those with ulceration or positive CgA immunohistochemical staining tend to have a poor prognosis.

Hearing loss is the most prevalent disabling disease. Cochlear implantation（CI） serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system（Favorable, Marginal, Poor）. The consensus focuses on common hereditary non-syndromic hearing loss（such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1） and syndromic hereditary hearing loss（such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome）, which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans ; Cochlear Implantation ; Prognosis ; Hearing Loss/surgery* ; Consensus ; Connexin 26 ; Mutation ; Sulfate Transporters ; Connexins/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*

OBJECTIVE: To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases. METHODS: TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases. RESULTS: Increased TB risk was linked to PM _2.5, PM ₁₀, and rainfall, whereas NO ₂, SO ₂, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM _2.5 ( RR = 1.166, 95% CI: 1.026-1.325) at 0-19 weeks; PM ₁₀ ( RR = 1.167, 95% CI: 1.028-1.324) at 0-18 weeks; NO ₂ ( RR = 0.968, 95% CI: 0.938-0.999) at 0-1 weeks; SO ₂ ( RR = 0.945, 95% CI: 0.894-0.999) at 0-2 weeks; air pressure ( RR = 0.604, 95% CI: 0.447-0.816) at 0-8 weeks; and rainfall ( RR = 1.404, 95% CI: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM _2.5 on TB. CONCLUSION Exposure to PM _2.5, PM ₁₀, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
China/epidemiology* ; Humans ; Air Pollutants/analysis* ; Tuberculosis/epidemiology* ; Incidence ; Meteorological Concepts ; Particulate Matter/adverse effects* ; Environmental Exposure ; Male ; Female ; Adult ; Air Pollution ; Middle Aged