Objective:To investigate the combined therapeutic role of the AKT inhibitor MK2206 and Ruxolitinib in treating Myeloproliferative Neoplasms (MPN) driven by a calreticulin (CALR) gene mutation.Methods:① Murine bone marrow c-kit + cells were isolated by sacrificing mice and harvesting bone marrow from the femur, tibia, and ilium for subsequent c-kit + cell sorting. ② A CALR transplantation mouse model was established. GFP-tagged retroviral vectors containing either the CALR gene mutation or the migR1 control were constructed, packaged in Platinum-E cells, and used to transduce murine bone marrow c-kit + cells. These transduced cells were then transplanted into lethally irradiated female recipient mice via tail vein injection. ③ Following successful engraftment, the mice were randomly assigned to four treatment groups for intragastric administration. Complete blood counts were monitored periodically, and the spleen size and weight of transplanted mice were measured. ④ Flow cytometry was used to quantify the proportions of GFP + tumor cells, megakaryocytic lineage cells, and hematopoietic stem cells in both splenic and bone marrow tissues. Histopathological examination was performed to evaluate the degree of tumor cell infiltration in these organs. Results:① Following gavage treatment, peripheral blood platelet (PLT) and white blood cell counts were significantly lower in the combined AKT inhibitor MK2206 and Ruxolitinib group compared to the MK2206, Ruxolitinib, and control groups ( P<0.05). ② In comparison with the MK2206 and Ruxolitinib monotherapy groups, the combination therapy group exhibited a significant reduction in spleen weight and a marked improvement in splenomegaly at 30 weeks post-transplantation ( P<0.05). ③ After four weeks of continuous treatment, combined administration resulted in a significant decrease in the proportion of megakaryocytic lineage cells and GFP + tumor cells in the bone marrow and spleen ( P<0.05). Additionally, the proportion of hematopoietic stem cells in the bone marrow was also significantly reduced ( P<0.05). ④ Histopathological analysis (H&E staining) of bone marrow and spleen tissues confirmed that the combined regimen decreased both tumor cell infiltration and the proportion of abnormal megakaryocytes in these organs. Conclusion:The combination of AKT inhibitor MK2206 and Ruxolitinib is effective at significantly ameliorating disease symptoms and reducing tumor infiltration in vivo in mice with a myeloproliferative tumor transplantation driven by a CALR gene mutation.

Objective: o develop an onset risk prediction nomogram for patients with homocysteine-type (H-type) hypertension (HTH) based on pulse diagram parameters to assist early clinical prediction and diagnosis of HTH. Methods: Patients diagnosed with essential hypertension and admitted to Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai Hospital of Traditional Chinese Medicine, and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine from July 6th 2020 to June 16th 2021, and from August 11th 2023 to January 22nd 2024, were enrolled in this retrospective research. The baselines and clinical biochemical indicators of patients were collected. The SMART-I TCM pulse instrument was applied to gather pulse diagram parameters. Multivariate logistic regression was adopted to analyze the risk factors for HTH. RStudio was employed to construct the nomogram model, receiver operating characteristic (ROC) curve, and calibration curve (bootstrap self-sampling 200 times), and clinical decision curve were drawn to evaluate the model’s discrimination and clinical effectiveness. Results: A total of 168 hospitalized patients with essential hypertension were selected and divided into non-HTH group (n = 29) and HTH group (n = 139). Compared with non-HTH group, HTH group had a lower body mass index (BMI), and higher proportions of male patients and drinkers (P < 0.05). The ventricular wall thickening (VWT) could not be determined. The proportions of left common carotid intima-media wall thickness (LCCIMWT) and serum creatinine (SCR) were higher in HTH group (P < 0.05). The pulse diagram parameter As was significantly higher, and H4/H1 and T1/T were lower in HTH group (P < 0.05). Gender, alcohol consumption, serum creatinine, and the pulse diagram parameter H4/H1 were identified as independent risk factors for HTH (P < 0.05). The nomogram’s area under the ROC curve (AUC) was 0.795 [95% confidence interval (CI): (0.706 6, 0.882 8)], with a specificity of 0.724 and sensitivity of 0.799. After 200 times repeated bootstrap self-samplings, the calibration curve showed that the simulated curve fits well with the actual curve (x2 = 9.5002, P = 0.301 9). The clinical decision curve indicated that the nomogram’s applicability was optimal when the threshold for predicting HTH was between 0.38 and 1.00. Conclusion The nomogram model could be valuable for predicting the onset risk of HTH and pulse diagram parameters can facilitate early screening and prevention of HTH.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective To construct a model for predicting the risk of essential hypertension accompanied by left ventricular hypertrophy using machine learning algorithms based on pulse diagram parameters;To explore its clinical application value.Methods A total of 295 patients with essential hypertension who were hospitalized in Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai Hospital of Traditional Chinese Medicine and Shanghai Hospital of Integrated Traditional Chinese and Western Medicine were selected from July 2020 to May 2021 and July 2023 to July 2024.According to the echocardiographic results,the selected research subjects were divided into the essential hypertension with left ventricular hypertrophy group(referred to as the"LVH group")and the essential hypertension without left ventricular hypertrophy group(referred to as the"non-LVH group").The general data and clinical biochemical indicators were collected,and the pulse diagram parameters of the patients were detected using the SMART-I type TCM digital pulse analyzer.A clinical prediction model was constructed based on decision tree,support vector machine and extreme gradient boosting model algorithms.The predictive performance of the model was evaluated in terms of discrimination,calibration and clinical prediction ability by using the receiver operating characteristic(ROC)curve,calibration curve and decision curve analysis respectively.The influence of each predictive factor on the risk of LVH in essential hypertension was explained based on the SHAP algorithm.Results Compared with the non-LVH group,the BMI,the proportion of males,drinkers and smokers was lower in the LVH group,with statistical significance(P<0.05);the thickened ventricular wall,left ventricular internal dimension enlargement,left common carotid artery intima-media thickness and high density lipoprotein cholesterol were higher in the LVH group than in the non-LVH group(P<0.05);the left common carotid peak systolic velocity,left common carotid resistance index,serum uric acid and serum creatinine were lower in the LVH group than in the non-LVH group(P<0.05).The pulse diagram parameters T4,T,W1,W2,H3/H1 and H4/H1 were higher in the LVH group than in the non-LVH group(P<0.05).The areas of the ROC curves of the models constructed by the three types of machine learning algorithms were 0.887,0.962 and 0.873 respectively,indicating that the model had good discrimination and certain diagnostic efficacy.The calibration curve suggested that the prediction accuracy of the model was average;the clinical decision curve showed that XGBoost model has a higher net benefit.Conclusion The interpretable model constructed based on pulse diagram parameters and machine learning algorithms can be used as a reliable tool for predicting the risk of essential hypertension with LVH.

Objective:To investigate the combined therapeutic role of the AKT inhibitor MK2206 and Ruxolitinib in treating Myeloproliferative Neoplasms (MPN) driven by a calreticulin (CALR) gene mutation.Methods:① Murine bone marrow c-kit + cells were isolated by sacrificing mice and harvesting bone marrow from the femur, tibia, and ilium for subsequent c-kit + cell sorting. ② A CALR transplantation mouse model was established. GFP-tagged retroviral vectors containing either the CALR gene mutation or the migR1 control were constructed, packaged in Platinum-E cells, and used to transduce murine bone marrow c-kit + cells. These transduced cells were then transplanted into lethally irradiated female recipient mice via tail vein injection. ③ Following successful engraftment, the mice were randomly assigned to four treatment groups for intragastric administration. Complete blood counts were monitored periodically, and the spleen size and weight of transplanted mice were measured. ④ Flow cytometry was used to quantify the proportions of GFP + tumor cells, megakaryocytic lineage cells, and hematopoietic stem cells in both splenic and bone marrow tissues. Histopathological examination was performed to evaluate the degree of tumor cell infiltration in these organs. Results:① Following gavage treatment, peripheral blood platelet (PLT) and white blood cell counts were significantly lower in the combined AKT inhibitor MK2206 and Ruxolitinib group compared to the MK2206, Ruxolitinib, and control groups ( P<0.05). ② In comparison with the MK2206 and Ruxolitinib monotherapy groups, the combination therapy group exhibited a significant reduction in spleen weight and a marked improvement in splenomegaly at 30 weeks post-transplantation ( P<0.05). ③ After four weeks of continuous treatment, combined administration resulted in a significant decrease in the proportion of megakaryocytic lineage cells and GFP + tumor cells in the bone marrow and spleen ( P<0.05). Additionally, the proportion of hematopoietic stem cells in the bone marrow was also significantly reduced ( P<0.05). ④ Histopathological analysis (H&E staining) of bone marrow and spleen tissues confirmed that the combined regimen decreased both tumor cell infiltration and the proportion of abnormal megakaryocytes in these organs. Conclusion:The combination of AKT inhibitor MK2206 and Ruxolitinib is effective at significantly ameliorating disease symptoms and reducing tumor infiltration in vivo in mice with a myeloproliferative tumor transplantation driven by a CALR gene mutation.

[Objective]To provide insights into the clinical diagnosis and treatment of infectious diseases in summer through probing into the theory of heat epidemic and its characteristics formulated by famous doctors in the past dynasties.[Methods]The etiology,pathogenesis and treatment of heat epidemic were analyzed by summarizing the discussions of various doctors from different angles and at different levels,and the differentiation and treatment rules of several common summer infectious diseases were explored on the basis of the application of heat epidemic theory.[Results]The etiology and pathogenesis of heat epidemic can be classified as excessive main Qi,evil abundance and Yin deficiency,transpiration of summer heat and diffuse ptomaine.Its treatment can be roughly divided into interior-clearing and exterior-harmonizing,blood-cooling and orifice-unblocking.On the basis,the article explored the etiology,pathogenesis and treatment of summer infectious diseases,such as hand-foot-and-mouth disease,dengue and Corona Virus Disease 2019(COVID-19),which have certain similarities with heat epidemic.[Conclusion]The theory of heat epidemic,closely related to the syndrome and treatment rules of three types of summer infectious diseases,can be the tentative basis for clinical diagnosis and treatment of summer infectious diseases with traditional Chinese medicine.

Objective To investigate the effect of Alogliptin benzoate on the serum autophagy markers in type 2 diabetes mellitus(T2DM)patients.Methods Eighty newly diagnosed T2DM patients who visited the Department of Endocrinology in Baoding No.1 Central Hospital from December 2021 to October 2022 were randomly divided into a group treated with Metformin(Met group,n=40)and a group treated with Met and Alog(Met+Alog group,n=40).The differences in BMI,WHR,FPG,HbA1c,Atg7 and Beclin-1 between two groups before and after 12 weeks of treatment were compared.Results After treatment,the levels of Atg7 and Beclin-1 increased in both groups(P<0.05),while FPG,HbA1c and HOMA-IR decreased(P<0.05).After treatment,Atg7,Beclin-1 and HDL-C in Met+Alog group were higher than those in Met group(P<0.05).Pearson correlation analysis showed that Atg7 was negatively correlated with BMI,FPG and HbA1c(P<0.05);Beclin-1 was positively correlated with HDL-C(P<0.05),and negatively correlated with BMI,FPG,HbA1c,and TG(P<0.05).Meta linear regression analysis showed that BMI was the influencing factor of Atg7,while BMI and HDL-C were the influencing factors of Beclin-1.Conclusion Alogliptin benzoate may improve islet β cell function by up-regulating the expression of autophagy related factors Atg7 and Beclin-1 in patients with T2DM.

High normal blood pressure is a crucial period for preventing cardiovascular and cerebrovascular events in our country.Target organs such as blood vessels,heart,kidney and brain may already be damaged even at the stage of high normal blood pressure.Early diagnosis and treatment can reduce the risk of cardiovascular and cerebrovascular events in patients with high normal blood pressure.Modern research methods for TCM pulse-taking are increasingly mature and have been widely used in screening,diagnosing,predicting,and intervening in cardiovascular and cerebrovascular risk events,such as hypertension,coronary heart disease,and stroke,with remarkable results.By detecting the pressure pulse map corresponding to the pulse of traditional Chinese medicine,it is possible to obtain information on the blood vessel function and elasticity in patients with high normal blood pressure.This can aid in the management of cardiovascular and cerebrovascular risks in such patients.This paper discusses the management of cardiovascular and cerebrovascular risk events in patients with high normal blood pressure.It reviews the application of traditional Chinese medicine pulse diagnosis and considers its value in risk event management.The paper proposes corresponding risk management strategies.

Objective To construct a nomograph model for predicting the risk of renal damage in patients with essential hypertension based on pulse parameters.Methods 518 patients with essential hypertension who were hospitalized in Shuguang Hospital affiliated to Shanghai University of Traditional Chinese Medicine and Cardiology Department of Shanghai Integrated Hospital of Traditional Chinese and Western Medicine from August 2018 to June 2021 were selected,and were divided into hypertension without renal damage group and hypertension with renal damage group according to the evaluation criteria of essential hypertension with renal damage.The general data and blood biochemical indexes of the patients were collected,and the pulse parameters were detected by SMART-I digital pulse analyzer of traditional Chinese medicine,and the differences between the two groups were compared.Single factor and multi factor logistic regression were used to analyze the related parameters;The nomogram model was constructed by R Studio,and the model was evaluated by the ROC curve,calibration curve,and Hosmer Lemeshow goodness of fit test.Results The age,serum uric acid,serum creatinine,urea nitrogen,cystatin C and homocysteine in the group of primary hypertension with renal damage were significantly higher than those in the group without renal damage(P＜0.05).The pulse parameters H4,H3/H1,H4/H1,H5/H1,T1/T4,W1/T in patients with primary hypertension and renal injury were significantly lower than those in patients without renal injury(P＜0.01),and As/Ad was significantly higher than those in patients without renal injury(P＜0.01).Age,current diastolic b1ood pressure,H4/H1,T1/T4,W1/T were independent risk factors of renal damage in patients with essential hypertension.The nomogram model was established based on the above independent risk factors,and the model was tested.The area under the ROC curve was 0.703(95％CI:0.625-0.781),and the calibration curve was well fitted with the ideal curve.The Hosmer Lemeshow goodness of fit test showed that the nomogram model had good calibration.Conclusion The nomogram model based on pulse parameters can accurately predict the risk of renal damage in patients with essential hypertension,and can provide a reference for clinical prediction of the risk of renal damage in patients with essential hypertension.

High normal blood pressure is a crucial period for preventing cardiovascular and cerebrovascular events in our country.Target organs such as blood vessels,heart,kidney and brain may already be damaged even at the stage of high normal blood pressure.Early diagnosis and treatment can reduce the risk of cardiovascular and cerebrovascular events in patients with high normal blood pressure.Modern research methods for TCM pulse-taking are increasingly mature and have been widely used in screening,diagnosing,predicting,and intervening in cardiovascular and cerebrovascular risk events,such as hypertension,coronary heart disease,and stroke,with remarkable results.By detecting the pressure pulse map corresponding to the pulse of traditional Chinese medicine,it is possible to obtain information on the blood vessel function and elasticity in patients with high normal blood pressure.This can aid in the management of cardiovascular and cerebrovascular risks in such patients.This paper discusses the management of cardiovascular and cerebrovascular risk events in patients with high normal blood pressure.It reviews the application of traditional Chinese medicine pulse diagnosis and considers its value in risk event management.The paper proposes corresponding risk management strategies.