Perimenopausal women are more susceptible to fire pathogen disturbances,often resulting in the restlessness of the mind owing to the deficiency and decline of the thoroughfare and conception vessels,as well as the insufficiency of the essence and blood of the viscera.CHENG Zhongling's theory of thief and child fire in Medical Insights proposes that thief fire primarily arises from exogenous pathogen invasion and improper diet,leading to syndromes such as food retention in the stomach or phlegm-fire stagnation.In contrast,child fire is generated endogenously,often owing to liver and kidney deficiency,resulting in an imbalance of water and fire and liver dysfunction,leading to excessive fire transformation.This theory provides a novel perspective for understanding the pathogenesis of perimenopausal insomnia.An in-depth exploration of the role of thief fire and child fire in perimenopausal insomnia is presented,along with a detailed discussion of corresponding treatment strategies.For the invasion of thief fire,therapeutic approaches include ascending and dispersing stagnant fire,clearing and moistening to remove interior heat,purging the heat accumulation to unblock the bowels,and subduing the fire and nourishing yin to eliminate depression.When child fire disturbs the spirit,treatment methods involve smoothing and relieving the liver qi to clear the stagnant heat,nourishing the true yin to restrain the yang,warming and nurturing the primordial qi and harmonizing the nutrient and defensive qi,and guiding and reducing the deficient heat to remove the floating fire.Clinical practice necessitates precise identification of thief and child fire,thorough investigation of exogenous pathogens and internal damage,and careful differentiation between deficiency and excess,as well as the superficial and internal aspects.Strict adherence to the treatment principle of"nourishing the child fire can drive out the thief fire,but driving out the thief fire should not harm the child fire"ensures a balanced approach.By harmonizing the yin and yang of the viscera and allowing the mind to be at ease,this strategy effectively alleviates perimenopausal insomnia.The application of these principles provides a practical and feasible theoretical foundation and practical guidance for the treatment of perimenopausal insomnia using traditional Chinese medicine.

Perimenopausal women are more susceptible to fire pathogen disturbances,often resulting in the restlessness of the mind owing to the deficiency and decline of the thoroughfare and conception vessels,as well as the insufficiency of the essence and blood of the viscera.CHENG Zhongling's theory of thief and child fire in Medical Insights proposes that thief fire primarily arises from exogenous pathogen invasion and improper diet,leading to syndromes such as food retention in the stomach or phlegm-fire stagnation.In contrast,child fire is generated endogenously,often owing to liver and kidney deficiency,resulting in an imbalance of water and fire and liver dysfunction,leading to excessive fire transformation.This theory provides a novel perspective for understanding the pathogenesis of perimenopausal insomnia.An in-depth exploration of the role of thief fire and child fire in perimenopausal insomnia is presented,along with a detailed discussion of corresponding treatment strategies.For the invasion of thief fire,therapeutic approaches include ascending and dispersing stagnant fire,clearing and moistening to remove interior heat,purging the heat accumulation to unblock the bowels,and subduing the fire and nourishing yin to eliminate depression.When child fire disturbs the spirit,treatment methods involve smoothing and relieving the liver qi to clear the stagnant heat,nourishing the true yin to restrain the yang,warming and nurturing the primordial qi and harmonizing the nutrient and defensive qi,and guiding and reducing the deficient heat to remove the floating fire.Clinical practice necessitates precise identification of thief and child fire,thorough investigation of exogenous pathogens and internal damage,and careful differentiation between deficiency and excess,as well as the superficial and internal aspects.Strict adherence to the treatment principle of"nourishing the child fire can drive out the thief fire,but driving out the thief fire should not harm the child fire"ensures a balanced approach.By harmonizing the yin and yang of the viscera and allowing the mind to be at ease,this strategy effectively alleviates perimenopausal insomnia.The application of these principles provides a practical and feasible theoretical foundation and practical guidance for the treatment of perimenopausal insomnia using traditional Chinese medicine.

The phrase"wood element characterized by spreading harmony"from the Huangdi Neijing five-phase theory summarizes the fundamental nature and functions of the wood element,emphasizing the crucial significance of the harmonious virtue of wood in promoting the generation and transformation of all things.In human physiology,"wood element characterized by spreading harmony"corresponds to the harmonious spreading of liver-gallbladder qi,ensuring smooth liver qi regulation and proper functioning of the ascending-descending movement mechanisms.Bipolar disorder,categorized in traditional Chinese medicine as"depression"or"manic depressive psychosis,"primarily arises from hepatic wood dysfunction.Insufficient wood qi dispersion typically manifests as a depressive phase,whereas excessive dispersion leads to a manic phase,with alternating manic-depressive phase indicating qi movement disorder.By integrating wood qi characteristics,disease pathogenesis of bipolar disorder,and our team's clinical experience in treating emotional disorders,this study developed an integrated acupuncture and moxibustion diagnosis and treatment approach for bipolar disorder,focusing on soothing the liver and regulating spirit,structured as"acupuncture-moxibustion-consolidation."Based on the physiological characteristics of"wood element characterized by spreading harmony,"from liver failing to controll conveyance and dispersion:depressive phase should apply warm-nourishing growth method,manic phase should suppress hyperactive liver for tranquillizing mind method,and alternating manic-depressive phase should apply harmonized rigidity-flexibility method.These methods aim to regulate the spirit of the heart and brain,harmonize the qi movement of the spleen and stomach,and replenish the essence and blood of the liver and kidney.Clinical application through syndrome differentiation has demonstrated satisfactory therapeutic outcomes.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To explore its application value of LNM in patients with gastric adenocarcinoma based on the construction of a radiomic nomogram prediction model for preoperative lymph node metastasis in gastric adenocarcinoma using enhanced CT imaging features and parameters.Methods 131 patients with gastric adenocarcinoma who underwent radical gastric cancer surgery(Billroth Ⅱ)+lymph node dissection in our hospital from August 2019 to October 2023 were retrospectively analysed,and the preoperative enhancement CT extracted lesions,histological features of lymph node images,and pathological examination of LNM were recorded respectively,and the statistically significant Enhanced CT image histological features and parameters,multifactorial logistic regression to analyse the independent risk factors of gastric adenocarcinoma LNM(+)and construct a column-line diagram,and evaluate its performance.The performance and clinical value of the prediction model were evaluated using subject work characteristic(ROC)curves,and the column-line diagram was internally validated.Results The results of univariate analysis showed that the maximum diameter of the tumour,the lymph node status,the short-axis length and volume of the largest lymph node in the lymph node group and the sum of the short-axis lengths of all the lymph nodes were associated with the occurrence of LNM,and the difference was statistically significant(P＜0.05);multifactorial logistic regression analysis suggested that the maximum diameter of the tumour was ≥15 mm and the lymph node status was positive in the enhanced CT imaging examination,maximum lymph node short-axis length ≥ 7 mm in the lymph node group,the sum of short-axis lengths of all lymph nodes ≥ 11 mm,and the maximum lymph node short-axis volume ≥ 300 mm3 in the lymph node group were the independent risk factors for gastric adenocarcinoma patients with LNM(+)(P＜0.05);the area under the curve of the model was plotted using a ROC curve with an AUC=0.816(95％ CI 0.810-0.939),with the sensitivity of 0.91 and the specificity of 0.86.Model validation was performed using the BOOTSTRAP method containing 500 resamples,and the results suggested that the differences between the fitted curves and the ideal curves of the constructed column-line graphical model were not significant,and the validity and reliability were good.Conclusion The radiomic nomogram prediction model based on enhanced CT imaging features and parameters can effectively predict preoperative lymph node metastasis in gastric adenocarcinoma,providing strong support for clinical decision-making in gastric adenocarcinoma patients.

The phrase"wood element characterized by spreading harmony"from the Huangdi Neijing five-phase theory summarizes the fundamental nature and functions of the wood element,emphasizing the crucial significance of the harmonious virtue of wood in promoting the generation and transformation of all things.In human physiology,"wood element characterized by spreading harmony"corresponds to the harmonious spreading of liver-gallbladder qi,ensuring smooth liver qi regulation and proper functioning of the ascending-descending movement mechanisms.Bipolar disorder,categorized in traditional Chinese medicine as"depression"or"manic depressive psychosis,"primarily arises from hepatic wood dysfunction.Insufficient wood qi dispersion typically manifests as a depressive phase,whereas excessive dispersion leads to a manic phase,with alternating manic-depressive phase indicating qi movement disorder.By integrating wood qi characteristics,disease pathogenesis of bipolar disorder,and our team's clinical experience in treating emotional disorders,this study developed an integrated acupuncture and moxibustion diagnosis and treatment approach for bipolar disorder,focusing on soothing the liver and regulating spirit,structured as"acupuncture-moxibustion-consolidation."Based on the physiological characteristics of"wood element characterized by spreading harmony,"from liver failing to controll conveyance and dispersion:depressive phase should apply warm-nourishing growth method,manic phase should suppress hyperactive liver for tranquillizing mind method,and alternating manic-depressive phase should apply harmonized rigidity-flexibility method.These methods aim to regulate the spirit of the heart and brain,harmonize the qi movement of the spleen and stomach,and replenish the essence and blood of the liver and kidney.Clinical application through syndrome differentiation has demonstrated satisfactory therapeutic outcomes.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To explore its application value of LNM in patients with gastric adenocarcinoma based on the construction of a radiomic nomogram prediction model for preoperative lymph node metastasis in gastric adenocarcinoma using enhanced CT imaging features and parameters.Methods 131 patients with gastric adenocarcinoma who underwent radical gastric cancer surgery(Billroth Ⅱ)+lymph node dissection in our hospital from August 2019 to October 2023 were retrospectively analysed,and the preoperative enhancement CT extracted lesions,histological features of lymph node images,and pathological examination of LNM were recorded respectively,and the statistically significant Enhanced CT image histological features and parameters,multifactorial logistic regression to analyse the independent risk factors of gastric adenocarcinoma LNM(+)and construct a column-line diagram,and evaluate its performance.The performance and clinical value of the prediction model were evaluated using subject work characteristic(ROC)curves,and the column-line diagram was internally validated.Results The results of univariate analysis showed that the maximum diameter of the tumour,the lymph node status,the short-axis length and volume of the largest lymph node in the lymph node group and the sum of the short-axis lengths of all the lymph nodes were associated with the occurrence of LNM,and the difference was statistically significant(P＜0.05);multifactorial logistic regression analysis suggested that the maximum diameter of the tumour was ≥15 mm and the lymph node status was positive in the enhanced CT imaging examination,maximum lymph node short-axis length ≥ 7 mm in the lymph node group,the sum of short-axis lengths of all lymph nodes ≥ 11 mm,and the maximum lymph node short-axis volume ≥ 300 mm3 in the lymph node group were the independent risk factors for gastric adenocarcinoma patients with LNM(+)(P＜0.05);the area under the curve of the model was plotted using a ROC curve with an AUC=0.816(95％ CI 0.810-0.939),with the sensitivity of 0.91 and the specificity of 0.86.Model validation was performed using the BOOTSTRAP method containing 500 resamples,and the results suggested that the differences between the fitted curves and the ideal curves of the constructed column-line graphical model were not significant,and the validity and reliability were good.Conclusion The radiomic nomogram prediction model based on enhanced CT imaging features and parameters can effectively predict preoperative lymph node metastasis in gastric adenocarcinoma,providing strong support for clinical decision-making in gastric adenocarcinoma patients.

OBJECTIVE To explore the effect of Shilinqing granules on calcium oxalate nephrolithiasis in rats and its potential mechanisms through the silence information regulator 1 （SIRT1）/nuclear factor-κB （NF-κB）/nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 （NLRP3） signaling pathway. METHODS Sixty male SD rats were randomly assigned to control group， model group， and low- ， medium- ， high-dose groups of Shilinqing granules （6.5， 13， 26 g/kg， calculated based on crude drug）， and high-dose of Shilinqing granules+inhibitor group （Shilinqing granules 26 g/kg+SIRT1 inhibitor nicotinamide 5 mg/kg）， with 10 rats in each group. Except for the control group， the remaining groups of rats were given 1% ethylene glycol solution to drink freely and were intubated with 2% ammonium chloride solution 2 mL （once a day， for 4 weeks） to construct a calcium oxalate nephrolithiasis model. At the same time of modeling， the administration groups were intubated or （and） intraperitoneally injected with the corresponding drug solutions， while the control and the model groups were intubated with physiological saline and intraperitoneally injected with dimethyl sulfoxide. The body weight， kidney index， urine/ blood biochemical indicators [24-hour urine volume， urine pH， urinary calcium ion （Ca2+） and urinary oxalic acid （Ox） content， as well as blood creatinine （Scr）， blood urea nitrogen （BUN）， blood Ca2+ content]， serum inflammatory indicators [levels of interleukin-1β （IL-1β）， IL-18]， pathological changes in renal tissue， calcium oxalate crystallization， and crystal scoring were observed. The protein expressions of SIRT1， NLRP3， and NF-κB in renal tissue were detected. RESULTS Compared with the control group， the model group had severe renal tissue damage and a large number of calcium oxalate crystals， with significant decrease or downregulation in body weight， 24-hour urine volume， urine pH， and protein expression of SIRT1 in renal tissue （P＜ 0.05）； crystal score， kidney index， urinary contents of Ca2+ and Ox， serum contents of Scr， BUN and Ca2+， and serum levels of IL- 1β and IL-18， as well as the protein expressions of NF-κB， NLRP3 in renal tissue were significantly increased or upregulated （P＜0.05）. The pathological changes in the rats of 2024ZY2045） each dose group of Shilinqing granules were improved， the calcium oxalate crystals were reduced， and all quantitative indicators were significantly improved as compared with the model group （P＜0.05）； while the SIRT1 inhibitor could significantly reverse the improving effects of high-dose of Shilinqing granules on the above indicators （P＜0.05）. CONCLUSIONS Shilinqing granules can inhibit the formation of calcium oxalate nephrolithiasis in rats， reduce the levels of inflammatory indicators and its mechanism may be related to upregulating protein expression of SIRT1， and downregulating protein expressions of NF-κB and NLRP3.

ObjectiveTo investigate the effect of Rehmanniae Radix Praeparata on neurological function injury in ischemic stroke rats and explore its mechanism. MethodMale SD rats were randomized into sham operation， model， low- and high -dose （3.5 g·kg^-1 and 7 g·kg^-1） Rehmannia Radix Praeparata， and nimodipine （0.01 g·kg^-1） groups. The rat model of middle cerebral artery occlusion （MCAO） was established with the modified suture occlusion method. Zea-Longa 5-point scoring was employed to evaluate the neurological function of rats. The cerebral infarction volume was detected by 2，3，5-triphenyltetrazolium chloride （TTC） staining. Hematoxylin-eosin staining and Nissl staining were employed to observe the morphology and damage of the brain tissue. Meanwhile， the serum levels of lactate dehydrogenase （LDH）， oxidative stress-related indicators superoxide dismutase （SOD）， glutathione peroxidase 4 （GPX4）， and malondialdehyde （MDA）， and the iron （Fe） content in the brain tissue were determined. To explore the mechanism of Rehmanniae Radix Preparata in mitigating the neurological damage in ischemic stroke rats， Western blotting was employed to determine the expression levels of proteins in the ischemic brain tissue. The autophagy-associated proteins included autophagy effector （beclin-1）， microtubule-associated protein light chain 3 （LC3B）， and ubiquitin-binding protein p62 （p62）. The ferroptosis-associated proteins included transferrin （TF）， transferrin receptor 1 （TFR1）， ferritin heavy chain 1 （FTH1）， and ferropotin （FPN1）. The neurological function injury-associated proteins included brain-derived neurotrophic factor （BDNF） and tyrosine kinase receptor B （TrkB）. ResultCompared with the sham operation group， the model group showed increased neurological function score， cerebral infarction volume， and appearance of nuclear pyknosis and vacuole of cells in the cerebral cortex. In addition， the model group presented elevated levels of LDH， MDA， and Fe （P<0.01） and lowered levels of SOD and GPX4 （P<0.01）. Compared with the model group， Rehmanniae Radix Praeparata decreased the content of LDH， MDA， and Fe （P<0.05， P<0.01） and elevated the levels of SOD and GPX4 （P<0.05， P<0.01）. Compared with the sham operation group， the modeling promoted the expression of beclin-1，LC3B Ⅱ/Ⅰ， TF， and TFR1 and inhibited the expression of p62， FTH1， FPN1， BDNF， and TrkB （P<0.01）. The expression levels of these proteins were recovered after the treatment with Rehmanniae Radix Praeparata. ConclusionRehmanniae Radix Praeparata may inhibit ferroptosis and improve the neurological function in ischemic stroke rats by down-regulating the autophagy level in the brain tissue.