Digital government refers to the wide application of digital technology in government management and services, promoting the optimization of government governance processes, model innovation, and performance enhancement, and building a new form of digital and intelligent government operation. Laboratory animal management is an important national foundational and strategic support work. It is closely related to digital government construction, and is not only an important part of digital government construction but also a typical application of government digital transformation in the field of science and technology. Digital transformation empowering laboratory animal management is a new proposition of government governance in the digital age, and research on its systematic and holistic reform is crucial. Through digital technologies such as artificial intelligence, big data, and cloud computing, the government can optimize approval process, strengthen in-process and post-event supervision, and promote regional coordination, thereby improving laboratory animal management capacity and service levels. In addition, laboratory animal data sharing contributes to government scientific decision-making and industry supervision. This article summarizes the experience and practices of domestic leading regions in recent years, reviews the background and development process of digital transformation of laboratory animal management in Jiangsu Province, describes the current status of such digital transformation in Jiangsu Province across areas including digital infrastructure, data sharing, and government services, analyzes existing challenges in top-level design, data governance, and data sharing, and, focusing on institutional mechanisms, government functions, data governance, and support systems, puts forward corresponding transformation ideas, frameworks, and pathways and provides an outlook. Thereby it provides a reference for the high-quality development of laboratory animal management in Jiangsu Province and other regions.

With the holistic concept of traditional Chinese medicine(TCM)as the foundation,Professor ZHOU Yunfeng proposes the three-part Tuina(Chinese therapeutic massage)manipulation to treat insomnia by"taking the head and brain as the essential and simultaneously regulating the abdomen and back".Taking the theories of Ying-nutrient and Wei-defensive Qi,Zang-Fu organs,and meridians as evidence,this method primarily regulates the mind and concurrently modulates Zang-Fu organs.The three-part Tuina manipulation regulates the spirit by grasping the five meridians(Governor Vessel,Bladder Meridian of Foot Taiyang,and Gallbladder Meridian of Foot Shaoyang)and stimulating points such as Baihui(GV20),Yintang(GV29),Taiyang(EX-HN5),and Shenting(GV24);it regulates the abdomen by selecting Zhongwan(CV12),Shenque(CV8),Qihai(CV6),and Guanyuan(CV4),which means to calm the mind by regulating spleen-stomach Qi activities;it treats the back by selecting Jianjing(GB21),Xinshu(BL15),Pishu(BL20),Weishu(BL21),and Shenshu(BL23),which means to calm the mind by regulating Qi activities of the whole body.Mind regulation runs through the whole process of this manipulation,which combines points from three body regions to produce a synergistic effect,concurrently treating the three body parts,i.e.,the head,abdomen,and back,to mitigate the clinical symptoms and improve sleep quality in insomniacs.

Objective:To discuss the protective effect of TUG-891 on ischemic stoke(IS)induced by ischemia-hypoxia,and to clarify its potential mechanism.Methods:A total of 60 healthy male C57BL/6 mice were randomly divided into sham operation group(n=20),model group[distal middle cerebral artery occlusion(dMCAO)group,n=20],and model+TUG-891 group(dMCAO+TUG-891 group,n=20).After modeling,the mice were intraperitoneally injected with TUG-891 solution(35 mg·kg?1·d?1)for 3 consecutive days.Modified neurological severity score(mNSS)and rotarod test were used to evaluate the neurological function of the mice in various groups;2,3,5-triphenyltetrazolium chloride(TTC)staining was used to observe the cerebral infarction volumes of the mice in various groups;biochemical method was used to detect the malondialdehyde(MDA)level and superoxide dismutase(SOD)activity in the supernatant of brain tissue of the mice in various groups;Hematoxylin-Eosin(HE)and NISSL staining were used to observe the pathomerphology of brain tissue of the mice in various groups;terminal deoxynucleotidyl transferase dUTP nick-end labeling(TUNEL)staining was used to detect the apoptotic indexes of neuronal cells in brain tissue of the mice in various groups;Western blotting method was used to detect the expression levels of glucose-regulated protein 78(GRP78),protein kinase R-like endoplasmic reticulum kinase(PERK),phosphorylated PERK(p-PERK),and C/EBP homologous protein(CHOP)proteins in brain tissue of the mice in various groups.Results:The mNSS and rotarod test results shoued that compared with sham operation group,the mNSS of the mice in dMCAO group was significantly increased(P<0.01),and the time on the rod was significantly decreased(P<0.01);compared with dMCAO group,the mNSS of the mice in dMCAO+TUG-891 group was decreased(P<0.05),and the time on the rod was increased(P<0.05).The TTC staining results shoued that compared with sham operation group,the volume of white infarct foci in the cerebral cortex of the mice in dMCAO group was increased(P<0.01);compared with dMCAO group,the cerebral infarction volume of the mice in dMCAO+TUG-891 group was significantly decreased(P<0.01).The HE staining results showed that compared with sham operation group,the cortex of the mice in dMCAO group was severely damaged,manifested by disordered arrangement of neuronal cells and obvious nuclear pyknosis in the infarct area,and the morphology of cortical infarct area of the mice in dMCAO+TUG-891 group was improved;the NISSL staining results showed that the Nissl bodies in the cortical infarct area of the mice in dMCAO group became thinner,elongated,and lost more.The pathological damage of brain tissue of the mice in dMCAO+TUG-891 group was significantly improved.Compared with sham operation group,the MDA level in brain tissue of the mice in model group was significantly increased(P<0.01),and the SOD activity was decreased(P<0.01);compared with model group,the MDA level in brain tissue of the mice in TUG-891 group was significantly decreased(P<0.01),and the SOD activity was significantly increased(P<0.01).The TUNEL staining results showed that compared with sham operation group,the apoptotic index of neuronal cells in brain tissue of the mice in dMCAO group was increased(P<0.01);compared with dMCAO group,the apoptotic index of neuronal cells in brain tissue of the mice in dMCAO+TUG-891 group was decreased(P<0.01).Compared with sham operation group,the expression levels of GRP78,p-PERK,and CHOP proteins in brain tissue of the mice in dMCAO group were increased(P<0.05);compared with dMCAO group,the expression levels of GRP78,p-PERK,and CHOP proteins in brain tissue of the mice in dMCAO+TUG-891 group were decreased(P<0.05).Conclusion:TUG-891 can alleviate neurological injury caused by ischemic stroke,and its mechanism may be related to the inhibition of endoplasmic reticulum stress and apoptosis.

Objective:To evaluate the value of a combined model based on primary lesion 18F-fluorodeoxyglucose ( 18F-FDG) PET/CT radiomics for predicting lymph node metastasis in non-small cell lung cancer (NSCLC) . Methods:A retrospective analysis was conducted on the clinical data of 203 NSCLC patients who underwent pre-treatment PET/CT imaging at Nanjing Drum Tower Hospital from June 2013 to July 2023. Patients were randomly assigned to the training set ( n=142) and the validation set ( n=61) at a ratio of 7∶3. A predictive model was developed in the training set, and its predictive performance and clinical application value were assessed in both the training and validation sets. Traditional PET/CT parameters and PET/CT radiomics features of the primary lesion were obtained by 3D-slicer software. Least absolute shrinkage and selection operator (LASSO), random forest, and extreme gradient boosting were performed to extract features. Support vector machine was used to construct a radiomics score (Radscore). Univariate and multivariate logistic regression analysis was used to predict the influencing factors of lymph node metastasis in NSCLC patients and to establish models. Predictive performance of the models was evaluated by receiver operator characteristic (ROC) curves and clinical application value was assessed by calibration curves and decision curve analysis (DCA) . Results:Among 203 NSCLC patients, 116 had lymph node metastasis, with 64 cases in the training set and 52 cases in the validation set. Three complementary classical machine learning methods were used for feature screening, and finally 10 radiomics features were obtained. The optimal threshold for Radscore-PET was 0.43 and the optimal threshold for Radscore-CT was 0.39. Univariate analysis showed that, sex ( OR=0.48, 95% CI: 0.24-0.95, P=0.036), tumor marker levels ( OR=3.81, 95% CI: 1.84-7.91, P<0.001), long diameter of tumor ( OR=2.56, 95% CI: 1.27-5.16, P=0.009), short diameter of tumor ( OR=3.73, 95% CI: 1.75-7.92, P=0.001), vacuolar sign ( OR=0.32, 95% CI: 0.12-0.86, P=0.024), ring-like metabolism ( OR=3.67, 95% CI: 1.33-10.13, P=0.012), maximum standardized uptake value (SUV max) ( OR=6.57, 95% CI: 3.03-14.25, P<0.001), metabolic tumor volume (MTV) ( OR=2.91, 95% CI: 1.43-5.92, P=0.003), total lesion glycolysis (TLG) ( OR=4.23, 95% CI: 2.08-8.59, P<0.001), Radscore-PET ( OR=21.93, 95% CI: 9.04-53.20, P<0.001) and Radscore-CT ( OR=13.72, 95% CI: 6.12-30.76, P<0.001) were all influencing factors for predicting lymph node metastasis in NSCLC patients. Multivariate analysis showed that, tumor marker levels ( OR=2.55, 95% CI: 1.11-5.90, P=0.028), vacuolar sign ( OR=0.26, 95% CI: 0.08-0.83, P=0.023), SUV max ( OR=5.94, 95% CI: 1.99-17.75, P=0.001), Radscore-PET ( OR=25.51, 95% CI: 5.92-110.22, P<0.001), and Radscore-CT ( OR=8.68, 95% CI: 2.73-27.61, P<0.001) were independent influencing factors for predicting lymph node metastasis in patients with NSCLC. Based on the above independent influencing factors, models were constructed: the traditional model (tumor marker levels, vacuolar sign, SUV max), the PET model (SUV max, Radscore-PET), the CT model (vacuolar sign, Radscore-CT), and the combined model (tumor marker levels, vacuolar sign, SUV max, Radscore-PET, Radscore-CT). ROC curve analysis showed that, the area under curve (AUC) of the traditional, PET, CT, and combined models in the training set were 0.75 (95% CI: 0.67-0.82), 0.90 (95% CI: 0.84-0.95), 0.85 (95% CI: 0.78-0.90), and 0.94 (95% CI: 0.88-0.97), respectively. The predictive value of the combined model was higher than that of the traditional model ( Z=5.01, P<0.001), the PET model ( Z=1.99, P=0.047), and the CT model ( Z=3.25, P=0.001). In the validation set, the AUCs for the traditional model, PET model, CT model, and combined model were 0.65 (95% CI: 0.52-0.77), 0.86 (95% CI: 0.74-0.93), 0.85 (95% CI: 0.73-0.93), and 0.90 (95% CI: 0.80-0.96), respectively. The predictive value of the combined model was superior to that of the traditional model ( Z=3.23, P=0.001). The sensitivity and specificity of the combined model in the training set were 84.37% and 91.03%, while in the validation set, the sensitivity and specificity were 82.61% and 94.74%, respectively. Calibration curves showed a good agreement between the predicted and actual probabilities in both the training and validation sets. DCA showed that the combined models had good discriminative ability in both the training and validation sets. Conclusions:Tumor marker levels, vacuolar sign, SUV max, Radscore-PET, and Radscore-CT are all independent influencing factors for predicting lymph node metastasis in patients with NSCLC. The combined model based on these factors demonstrates excellent predictive performance and clinical application value for predicting lymph node metastasis in NSCLC.

The tumor microenvironment (TME) is the cellular milieu in which tumor cells thrive, comprising interacting cells and associated factors that form a complex network of interactions, directly or indirectly influencing the initiation, progression, and metastasis of lung cancer. Through TCM pattern identification, it has been observed thatphlegm-pathogen is closely associated with disorder in the inflammatory-metabolic-immune microenvironments of lung cancer. This involves three key pathological mechanisms: "phlegm-stasis complicated by toxin, qi deficiency with exuberant phlegm, and phlegm-pathogen impairing healthy qi". Molecular mechanism studies have revealed that phlegm-resolving agents can extensively modulate multiple targets or pathways, thereby remodeling the inflammatory-metabolic-immune microenvironments of lung cancer. Consequently, a comprehensive therapeutic strategy integrating "resolving phlegm, dispelling stasis, and detoxifying; supplementing qi, warming yang, and resolving phlegm; and reinforcing healthy qi, tonifying the lung, and eliminating phlegm" is essential to reshape the lung cancer TME and enhance antitumor efficacy.

Objective:To explore the value of baseline 18F-FDG PET/CT metabolic parameters and related clinical factors in the prognostic assessment of patients with angioimmunoblastic T-cell lymphoma (AITL). Methods:From July 2013 to December 2023, 70 patients with AITL (44 males, 26 females, age (63.9±9.6) years) from Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University (32 cases) as well as the First Affiliated Hospital of Nanjing Medical University (38 cases) who were diagnosed pathologically and underwent PET/CT imaging prior to treatment were retrospectively analyzed. PET/CT metabolic parameters (calculated using the 41%SUV max threshold method) and related clinical factors were collected. The optimal cut-off values of metabolic parameters were determined by using the ROC curve analysis. Cox proportional risk regression models were used for prognostic analyses, prediction models were constructed and efficacies were assessed by calibration curves and time-dependent ROC curves. Results:With the follow-up of 19.0(10.0, 33.3) months, disease progression or recurrence occurred in 51 patients, and 28 patients died. ROC curves showed that the optimal cut-off values on diagnosing AITL of total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), and SUV max were 767.1cm 3, 2159.6g and 13.0, respectively. TMTV (hazard ratio ( HR)=0.485, 95% CI: 0.252-0.935, P=0.031) and gender ( HR=0.441, 95% CI: 0.236-0.824, P=0.010) were independent risk factors for progression-free survival (PFS); TMTV ( HR=0.422, 95% CI: 0.178-0.997, P=0.049) and treatment regimen ( HR=0.346, 95% CI: 0.154-0.777, P=0.010) were independent risk factors for overall survival (OS). Time-dependent ROC curves indicated that the combined model of TMTV combining gender or treatment regimen had better prognostic results in predicting PFS (AUCs: 0.67-0.82) or OS (AUCs: 0.62-0.80) in patients with AITL. The calibration curve showed the predicted values of the combined models were in good consistency with the actual values. Conclusions:The metabolic parameter TMTV is an independent risk factor for PFS and OS in patients with AITL. The combined model of TMTV combining gender or treatment regimen can effectively improve the prognostic prediction efficacy of PFS or OS in patients with AITL.

With the holistic concept of traditional Chinese medicine(TCM)as the foundation,Professor ZHOU Yunfeng proposes the three-part Tuina(Chinese therapeutic massage)manipulation to treat insomnia by"taking the head and brain as the essential and simultaneously regulating the abdomen and back".Taking the theories of Ying-nutrient and Wei-defensive Qi,Zang-Fu organs,and meridians as evidence,this method primarily regulates the mind and concurrently modulates Zang-Fu organs.The three-part Tuina manipulation regulates the spirit by grasping the five meridians(Governor Vessel,Bladder Meridian of Foot Taiyang,and Gallbladder Meridian of Foot Shaoyang)and stimulating points such as Baihui(GV20),Yintang(GV29),Taiyang(EX-HN5),and Shenting(GV24);it regulates the abdomen by selecting Zhongwan(CV12),Shenque(CV8),Qihai(CV6),and Guanyuan(CV4),which means to calm the mind by regulating spleen-stomach Qi activities;it treats the back by selecting Jianjing(GB21),Xinshu(BL15),Pishu(BL20),Weishu(BL21),and Shenshu(BL23),which means to calm the mind by regulating Qi activities of the whole body.Mind regulation runs through the whole process of this manipulation,which combines points from three body regions to produce a synergistic effect,concurrently treating the three body parts,i.e.,the head,abdomen,and back,to mitigate the clinical symptoms and improve sleep quality in insomniacs.

Objective:To explore the value of baseline 18F-FDG PET/CT metabolic parameters and related clinical factors in the prognostic assessment of patients with angioimmunoblastic T-cell lymphoma (AITL). Methods:From July 2013 to December 2023, 70 patients with AITL (44 males, 26 females, age (63.9±9.6) years) from Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University (32 cases) as well as the First Affiliated Hospital of Nanjing Medical University (38 cases) who were diagnosed pathologically and underwent PET/CT imaging prior to treatment were retrospectively analyzed. PET/CT metabolic parameters (calculated using the 41%SUV max threshold method) and related clinical factors were collected. The optimal cut-off values of metabolic parameters were determined by using the ROC curve analysis. Cox proportional risk regression models were used for prognostic analyses, prediction models were constructed and efficacies were assessed by calibration curves and time-dependent ROC curves. Results:With the follow-up of 19.0(10.0, 33.3) months, disease progression or recurrence occurred in 51 patients, and 28 patients died. ROC curves showed that the optimal cut-off values on diagnosing AITL of total metabolic tumor volume (TMTV), total lesion glycolysis (TLG), and SUV max were 767.1cm 3, 2159.6g and 13.0, respectively. TMTV (hazard ratio ( HR)=0.485, 95% CI: 0.252-0.935, P=0.031) and gender ( HR=0.441, 95% CI: 0.236-0.824, P=0.010) were independent risk factors for progression-free survival (PFS); TMTV ( HR=0.422, 95% CI: 0.178-0.997, P=0.049) and treatment regimen ( HR=0.346, 95% CI: 0.154-0.777, P=0.010) were independent risk factors for overall survival (OS). Time-dependent ROC curves indicated that the combined model of TMTV combining gender or treatment regimen had better prognostic results in predicting PFS (AUCs: 0.67-0.82) or OS (AUCs: 0.62-0.80) in patients with AITL. The calibration curve showed the predicted values of the combined models were in good consistency with the actual values. Conclusions:The metabolic parameter TMTV is an independent risk factor for PFS and OS in patients with AITL. The combined model of TMTV combining gender or treatment regimen can effectively improve the prognostic prediction efficacy of PFS or OS in patients with AITL.

Objective:To investigate the therapeutic effect of high-flow nasal cannula oxygen therapy (HFNC) and non-invasive positive pressure ventilation (NPPV) on patients with pulmonary edema caused by seawater drowning.Methods:A retrospective analysis method was used. Based on the Utstein database of emergency drowning in the First Hospital of Qinhuangdao, the clinical data of patients with seawater drowning pulmonary edema admitted to the emergency medicine department of the First Hospital of Qinhuangdao from January 1, 2019 to December 31, 2022 were collected. The patients were divided into NPPV group and HFNC group according to different ventilation methods. The general data, endotracheal intubation rate in 7 days, arterial blood gas analysis indexes [arterial partial pressure of oxygen (PaO 2), arterial partial pressure of carbon dioxide (PaCO 2), arterial oxygen saturation (SaO 2)] and hemodynamic indexes (systolic blood pressure, diastolic blood pressure, mean arterial pressure, heart rate, blood lactic acid) before and after treatment, length of stay in intensive care unit (ICU), oxygen therapy comfort of the two groups were compared. Results:A total of 54 patients were enrolled, including 21 patients in the NPPV group and 33 patients in the HFNC group. There were no significant differences in gender, age, state of consciousness and other general information between the two groups. Compared with NPPV group, the rate of endotracheal intubation in HFNC group within 7 days was significantly lower [24.2% (8/33) vs. 33.3% (7/21), P < 0.05]. Before treatment, there were no significant differences in arterial blood gas analysis and hemodynamics between the two groups. After treatment, the above indexes in both groups were significantly improved compared with those before treatment, and PaO 2, SaO 2, systolic blood pressure, diastolic blood pressure and mean arterial pressure in HFNC group were significantly higher than those in NPPV group [PaO 2 (mmHg, 1 mmHg≈0.133kPa): 93.56±6.37 vs. 82.14±6.25, SaO 2: 1.02±0.09 vs. 0.95±0.11, systolic blood pressure (mmHg): 117.37±8.43 vs. 110.42±8.38, diastolic blood pressure (mmHg): 79.43±7.61 vs. 72.21±4.32, mean arterial pressure (mmHg): 92.34±6.32 vs. 85.12±5.38], PaCO 2, heart rate and blood lactic acid were significantly lower than those in NPPV group [PaCO 2 (mmHg) : 34.26±5.63 vs. 37.24±6.22, heart rate (times/min): 73.38±7.56 vs. 86.25±5.41, blood lactic acid (mmol/L): 1.38±0.36 vs. 2.25±1.14], and the differences were statistically significant (all P < 0.05). In addition, the length of ICU stay in HFNC group was significantly shorter than that in NPPV group (days: 13.30±2.38 vs. 16.27±4.26), and the comfort rate of oxygen therapy was significantly higher than that in NPPV group [66.7% (22/33) vs. 42.8% (9/21)], with statistical significance (all P < 0.05). Conclusion:HFNC can improve the oxygenation of patients with pulmonary edema caused by seawater drowning, improve hemodynamics, reduce the rate of tracheal intubation, shorten the length of ICU stay, and improve the comfort of oxygen therapy, which has certain clinical application value.

ObjectiveTo investigate the ameliorative effect and mechanism of total saponins of Codonopsis Radix （TSC） on learning and memory impairment induced by D-galactose in aging mice. MethodTwenty-four male C57BL/6J mice were randomly assigned into four groups （n=6）： normal group， model group （200 mg·kg^-1 D-galactose）， TSC group （200 mg·kg^-1）， and donepezil group （3 mg·kg^-1）. After one week of pre-treatment， the mice in the model， TSC， and donepezil groups were administrated with corresponding agents for 8 weeks. In the ninth week， the Morris water maze test was performed to assess the learning and memory abilities. Histopathological changes in the brain were evaluated by hematoxylin-eosin （HE） and Nissl staining. Immunohistochemistry was used to detect the expression of nuclear factor kappa-B （NF-κB）， tumor necrosis factor-α （TNF-α）， and brain-derived neurotrophic factor （BDNF） in the brain tissue. The serum levels of glutathione peroxidase （GSH-Px）， catalase （CAT）， superoxide dismutase （SOD）， malondialdehyde （MDA）， TNF-α， interleukin-1β （IL-1β）， and interleukin-18 （IL-18） were measured by enzyme-linked immunosorbent assay， on the basis of which the effects of TSC on neuroinflammation and memory impairment in D-galactose-induced aging mice were assessed. ResultCompared with the normal group， the model group exhibited decreased cognitive function， decreased activities of CAT， SOD， and GSH-Px in the serum （P<0.01）， and upregulated levels of MDA， TNF-α， IL-1β， and IL-18 （P<0.01）. In addition， partial neuronal damage and degeneration were observed in the hippocampus and cortex of the model group， accompanied by downregulated BDNF expression （P<0.05） and upregulated NF-κB and TNF-α expression （P<0.05）. Compared with the model group， TSC alleviated D-galactose-induced cognitive dysfunction， enhanced the activities of CAT， SOD， and GSH-Px （P<0.01）， lowered MDA， TNF-α， IL-1β， and IL-18 levels （P<0.01）， and ameliorated the pathological changes in the hippocampus and cerebral cortex. Additionally， TSC upregulated BDNF expression （P<0.05， P<0.01） and downregulated NF-κB and TNF-α expression （P<0.05， P<0.01） in the hippocampus and cerebral cortex. ConclusionTSC exerts a protective effect on cognitive dysfunction induced by D-galactose in aging mice by inhibiting oxidative stress and inflammation.