Laboratory animal practitioners refer to various personnel engaged in work related to laboratory animals or animal experiments. Their development not only affects the occupational health and safety of practitioners but also directly impacts the development level of laboratory animal science and the accuracy of animal experiment results. This article reviews the training requirements for laboratory animal practitioners stipulated by national standards, regulations, normative documents, and management policies in Sichuan Province. It analyzes the scale and training status of laboratory animal practitioners in Sichuan Province, compiles statistics on the changes in the scale of laboratory animal practitioners in Sichuan Province from 2015 to 2024, and examines the number of practitioners in four categories (scientific researchers, management personnel, animal keepers, and other personnel) and three different educational levels (postgraduate degree, bachelor's degree, and below bachelor's degree). It summarizes the possible reasons for the changes in personnel structure from 2015 to 2024, namely the continuous refinement of the division of labor in laboratory animal-related work and the continuous development of disciplines such as life sciences, medicine, and pharmacy. The article analyzes the current training status of laboratory animal practitioners in Sichuan Province from three aspects, including training organizations, the training system, and training methods for laboratory animal practitioners in Sichuan Province. It provides a detailed analysis of the series of training sessions on laboratory animal-related topics organized by the Office of the Laboratory Animal Management Committee of Sichuan Province and the Sichuan Laboratory Animal Society since 2019. It concludes that there are advantages such as an increasing proportion of highly educated personnel and a relatively well-established training system, and discusses issues such as inadequate top-level design and insufficient attention from some units. Finally, it proposes corresponding countermeasures and suggestions, including strengthening the assessment of practitioner training, formulating training plans for laboratory animal practitioners, and compiling specialized training materials. This article can provide a reference for the development and training of laboratory animal practitioners.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Objective:To construct a realistic surface model of human glioma T98G cells, aiming to enhance the accuracy of dose assessment at the cellular level in radiotherapy.Methods:Three-dimensional tomographic images of T98G cells were acquired using a laser confocal microscope. Subsequently, after cropping via MATLAB software and conversion to the DICOM format, the Amira and Meshmixer softwares were employed to repair and reconstruct the authentic curved - surface models of the cell nucleus and cytoplasm. The GATE Monte Carlo simulation platform was utilized to construct the 160 kV X ray energy spectrum of the RS - 2000 Pro irradiator. In a vacuum environment, the energy deposition processes of single cells and cell populations were simulated, and the dose distributions of the cell nucleus and cytoplasm were computed.Results:In the single cell simulation, the absorbed dose of the cell nucleus was 0.07 Gy, and 0.23 Gy for the cytoplasm. Under the same irradiation duration, the dose of the cell nucleus accounted for approximately 70% of the external irradiation dose. The calculated standard deviations of absorbed dose were 3.03×10?? and 5.73×10?? Gy, respectively, indicating a notable randomness in dose deposition. Since 2 Gy is a widely-adopted dose in radiotherapy fractionation regimens, cell populations were irradiated with 2 Gy. The findings revealed that the internal dose distribution of cell populations exhibited a non-Gaussian distribution, demonstrating the randomness of dose deposition. Specifically, the dose of the cell nucleus was concentrated in the range of 0.6-1.8 Gy, and the dose of the cytoplasm was concentrated in the range of 0.9-2.7 Gy.Conclusions:A curved- surface model of human glioma cells is successfully constructed, which can lay a foundation for improving the accuracy of microscopic dosimetry simulation.

Objective To investigate the effect of body position angle on gastric insufflation during the induction of general anesthesia in pediatric patients undergoing day surgery.Methods A total of 111 children scheduled for elective tracheal intubation under general anesthesia at the First Affiliated Hospital of Guangxi Medical University from December 2022 to March 2023 were selected as study subjects.Six children were ex-cluded due to unclear sonographic visualization of the gastric antrum,resulting in 105 children ultimately in-cluded in the study.The children were divided into three groups using a random number table method:Group D0(supine position),Group D5(5° head-up position),and Group D10(10° head-up position),with 35 children in each group.The presence of a"comet-tail artifact"on ultrasound was used as the criterion for determining gastric insufflation during anesthesia induction.The gastric antrum cross-sectional area(CSA)of the gastric antrum was measured before mask ventilation after loss of consciousness(T1)and immediately after tracheal intubation following mask ventilation(T2).The incidence of gastric insufflation,changes in CSA and their differences,and vital sign changes at T1 and T2,were compared among the three groups.Results Compared with Group D0,the incidence of gastric insufflation was significantly lower in Groups D5 and D10[25.7％(9/35)vs.20.0％(7/35)vs.54.0％(19/35)],and the difference was statistically significant(P＜0.05).Howev-er,there was no significant difference between Group D5 and Group D10(P＞0.05).No significant difference was observed in CSA at T1 among the three groups(P＞0.05).At T2,a statistically significant difference in CSA was found among the three groups(P＜0.05),with Group D10 showing a smaller CSA than Group D0(P＜0.05).The difference in CSA changes was statistically significant among the three groups(P＜0.05),with Groups D5 and D10 exhibiting smaller changes than Group D0,and Group D10 showing a smaller change than Group D5(P＜0.05).No significant differences were observed in mean artery pressure(MAP),heart rate,pulse oxygen saturation(SpO2)and pressure of end-tidal carbon dioxide(PETCO2)at T1 and T2 among the three groups(P＞0.05).A total of 6 children(5.7％)required brief adjustments in jaw support due to irregular PETCO2 waveforms or abnormal peak airway pressure.Conclusion In pediatric patients undergoing day sur-gery under general anesthesia,a 5° head-up position during induction significantly reduces the incidence of gas-tric insufflation and minimizes changes in gastric antral CSA,while a 10° head-up position does not provide ad-ditional benefits.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

OBJECTIVE: Aloin, the main active component in Aloe vera (L.) Burm. f., has shown promising anti-tumor effects. This study investigated the impact of aloin in lung squamous cell carcinoma (LUSC) and explored its functional mechanism. METHODS: We analyzed the viability, migration, invasion, proliferation, and apoptosis of two LUSC cell lines after treatment with aloin. Target molecules of aloin and downstream target transcripts of nuclear receptor subfamily 3 group C member 2 (NR3C2) were predicted by bioinformatics. The biological functions of NR3C2 and metallothionein 1 M (MT1M) in the malignant properties of LUSC cells were determined. A co-culture system of LUSC cells with monocyte-derived macrophages was constructed. Mouse xenograft tumor models were generated to analyze the functions of aloin and NR3C2 in the tumorigenic activity of LUSC cells and macrophage polarization in vivo. RESULTS: Aloin suppressed malignant properties of LUSC cells in vitro. However, these effects were negated by the silencing of NR3C2. NR3C2 was found to activate MT1M transcription by binding to its promoter. Additional upregulation of MT1M suppressed the malignant behavior of LUSC cells augmented by NR3C2 silencing. Analysis of the M1 and M2 markers/cytokines in the macrophages or the culture supernatant revealed that aloin treatment or MT1M overexpression in LUSC cells enhanced M1 polarization while suppressing M2 polarization of macrophages, whereas NR3C2 silencing led to reverse trends. Consistent findings were reproduced in vivo. CONCLUSION This study demonstrated that aloin activates the NR3C2/MT1M axis to suppress the malignant behavior of LUSC cells and M2 macrophage polarization. Please cite this article as: Chen YN, Lu JY, Gao CF, Fang ZR, Zhou Y. Aloin blocks the malignant behavior of lung squamous cell carcinoma cells and M2 macrophage polarization by modulating the NR3C2/MT1M axis. J Integr Med. 2025; 23(2): 195-208.
Lung Neoplasms/metabolism* ; Humans ; Animals ; Cell Line, Tumor ; Carcinoma, Squamous Cell/metabolism* ; Mice ; Macrophages/drug effects* ; Emodin/analogs & derivatives* ; Metallothionein/genetics* ; Cell Proliferation/drug effects* ; Cell Movement/drug effects* ; Apoptosis/drug effects* ; Receptors, Glucocorticoid/genetics*

In China, most patients with hepatocellular carcinoma (HCC) have progressed to the middle and advanced stages when they are diagnosed, so early-stage diagnosis is a significant key to improving the prognosis. Tumor diameter significantly correlates with the prognosis of patients with small hepatocellular carcinoma (sHCC), which is further classified as early-stage HCC (eHCC) and advanced HCC (pHCC). The "fast in and fast out" enhancement pattern is a typical feature of liver cancer imaging (CECT/CEMRI/CEUS); yet, eHCC with a diameter of <2 cm frequently exhibits hypovascularity. Hepatocyte-specific enhanced MRI (EOB-MRI) displays a unique hepatobiliary-specific phase (HBP) hypointensity, along with atypical manifestations such as lipid-containing nodules, T2 hyperintensity, and restricted diffusion. HBP is a functional radiographic imaging feature for cancerous nodules in cirrhosis. EOB-MRI can significantly increase the hypovascularity detection rate of eHCC in conjunction with serologic markers like alpha-fetoprotein. With a focus on the dynamic changes in hypovascular hypointense nodules in HBP (including diameter size, APHE, DWI, and other parameters), it is recommended that high-risk cirrhotic cohorts undergo routine monitoring (EOB-MRI follow-up every three months) to diagnose early-stage eHCC, based on the existing evidence-based medicine. This recommendation in clinical practice guidelines provides a crucial strategy that can markedly enhance patients' five-year survival rates.

Objective:To construct a realistic surface model of human glioma T98G cells, aiming to enhance the accuracy of dose assessment at the cellular level in radiotherapy.Methods:Three-dimensional tomographic images of T98G cells were acquired using a laser confocal microscope. Subsequently, after cropping via MATLAB software and conversion to the DICOM format, the Amira and Meshmixer softwares were employed to repair and reconstruct the authentic curved - surface models of the cell nucleus and cytoplasm. The GATE Monte Carlo simulation platform was utilized to construct the 160 kV X ray energy spectrum of the RS - 2000 Pro irradiator. In a vacuum environment, the energy deposition processes of single cells and cell populations were simulated, and the dose distributions of the cell nucleus and cytoplasm were computed.Results:In the single cell simulation, the absorbed dose of the cell nucleus was 0.07 Gy, and 0.23 Gy for the cytoplasm. Under the same irradiation duration, the dose of the cell nucleus accounted for approximately 70% of the external irradiation dose. The calculated standard deviations of absorbed dose were 3.03×10?? and 5.73×10?? Gy, respectively, indicating a notable randomness in dose deposition. Since 2 Gy is a widely-adopted dose in radiotherapy fractionation regimens, cell populations were irradiated with 2 Gy. The findings revealed that the internal dose distribution of cell populations exhibited a non-Gaussian distribution, demonstrating the randomness of dose deposition. Specifically, the dose of the cell nucleus was concentrated in the range of 0.6-1.8 Gy, and the dose of the cytoplasm was concentrated in the range of 0.9-2.7 Gy.Conclusions:A curved- surface model of human glioma cells is successfully constructed, which can lay a foundation for improving the accuracy of microscopic dosimetry simulation.

Objective:To investigate the value of habitat radiomic features based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI in establishing a predictive model for cytokeratin 19 (CK19) expression in hepatocellular carcinoma (HCC) and to evaluate its role in prognostic risk stratification.Methods:This multicenter case-control study retrospectively enrolled 489 patients with pathologically confirmed HCC who underwent Gd-EOB-DTPA-enhanced MRI between June 2016 and June 2024. Among them, 346 patients from the First Affiliated Hospital of Soochow University were divided into a training cohort ( n=245) and an internal test cohort ( n=101) via stratified sampling at a 7∶3 ratio. And 143 patients from Nantong Third Hospital Affiliated to Nantong University served as an external validation cohort. The training cohort included 53 CK19-positive and 192 CK19-negative patients. The internal test cohort included 21 CK19-positive and 80 CK19-negative patients. The external validation cohort included 30 CK19-positive and 113 CK19-negative patients. Univariate logistic regression analysis was performed to identify potential factors associated with CK19 expression, and a clinical-radiologic model was constructed. The k-means clustering algorithm was applied to segment target HCC lesions into 3 subregions. Radiomic features were extracted and selected from these habitat subregions. Habitat radiomics models were constructed for the arterial phase (AP), portal venous phase, hepatobiliary phase (HBP), and combined phases (CP). Multivariate logistic regression analysis identified independent clinical and radiologic predictors of CK19 expression, and the optimal habitat model score was integrated to build a clinical-radiologic-habitat combined model. The area under the receiver operating characteristic curve (AUC) was used to evaluate model predictive performance. Recurrence-free survival (RFS) was analyzed using the Kaplan-Meier method and the differences in survival curves were compared with the log-rank test. Results:Univariate logistic regression analysis revealed that alpha-fetoprotein (AFP) ( OR=2.629, 95% CI 1.412-4.896, P=0.002), AP enhancement ( OR=3.636, 95% CI 1.642-8.052, P=0.001), AP peritumoral enhancement ( OR=2.219, 95% CI 1.084-4.542, P=0.029), and HBP peritumoral hypointensity ( OR=2.010, 95% CI 1.004-4.021, P=0.049) were potential factors associated with CK19 expression, which were incorporated into the clinical-radiologic model. In the internal and external validation cohorts, the AUC of the clinical-radiologic model was 0.690 (95% CI 0.590-0.778) and 0.650 (95% CI 0.565-0.727), respectively. The habitat radiomics model based on CP images demonstrated the highest performance. It achieved AUC of 0.729 (95% CI 0.622-0.836) and 0.725 (95% CI 0.607-0.842) in the internal and external validation cohorts, respectively. Multivariate analysis identified AFP ( OR=2.494, 95% CI 1.163-5.348, P=0.019), AP enhancement ( OR=5.230, 95% CI 1.868-14.643, P=0.002) and habitat radiomics model score ( OR=4.105, 95% CI 2.643-6.368, P<0.001) as independent predictors of CK19 positivity. Based on these factors, a combined clinical-radiologic-habitat combined model was established. The clinical-radiologic-habitat combined model achieved AUCs of 0.767 (95% CI 0.671-0.846) and 0.730 (95% CI 0.649-0.801) in the internal and external validation cohorts, respectively. Significant differences in RFS were observed between the CK19-positive group (25.1 month) and CK19-negative group (51.0 month) as predicted by the clinical-radiologic-habitat model ( χ2=4.17, P=0.041). Conclusion:The clinical-radiologic-habitat combined model based on Gd-EOB-DTPA-enhanced MRI habitat radiomics demonstrates good predictive performance for CK19 expression in HCC and offers valuable prognostic stratification for clinical practice.

In China, most patients with hepatocellular carcinoma (HCC) have progressed to the middle and advanced stages when they are diagnosed, so early-stage diagnosis is a significant key to improving the prognosis. Tumor diameter significantly correlates with the prognosis of patients with small hepatocellular carcinoma (sHCC), which is further classified as early-stage HCC (eHCC) and advanced HCC (pHCC). The "fast in and fast out" enhancement pattern is a typical feature of liver cancer imaging (CECT/CEMRI/CEUS); yet, eHCC with a diameter of <2 cm frequently exhibits hypovascularity. Hepatocyte-specific enhanced MRI (EOB-MRI) displays a unique hepatobiliary-specific phase (HBP) hypointensity, along with atypical manifestations such as lipid-containing nodules, T2 hyperintensity, and restricted diffusion. HBP is a functional radiographic imaging feature for cancerous nodules in cirrhosis. EOB-MRI can significantly increase the hypovascularity detection rate of eHCC in conjunction with serologic markers like alpha-fetoprotein. With a focus on the dynamic changes in hypovascular hypointense nodules in HBP (including diameter size, APHE, DWI, and other parameters), it is recommended that high-risk cirrhotic cohorts undergo routine monitoring (EOB-MRI follow-up every three months) to diagnose early-stage eHCC, based on the existing evidence-based medicine. This recommendation in clinical practice guidelines provides a crucial strategy that can markedly enhance patients' five-year survival rates.