Objective To explore the clinical information of female patients with pulmonary nodules and the distribution of traditional Chinese medicine (TCM) syndromes and their elements. Methods A cross-sectional study was conducted to collect the basic information, medical history data, image data, and four diagnostic information of female patients with pulmonary nodules. The distribution characteristics of TCM syndromes and their elements in female patients with pulmonary nodules were determined by KMO test, Bartlett spherical test, systematic cluster analysis, chi-square test, and other methods. Results A total of 721 female patients with pulmonary nodules were included in this study. The patients were mainly 45-59 years old, had secondary school education or above, and had a history of oil smoke exposure as clinical characteristics. The pulmonary nodules were mainly 6-10 mm in size and appeared as multiple and ground glass nodules. The clinical symptoms were mainly fatigue, emotional irritability, and shortness of breath. The main syndromes of disease location were the spleen, liver, and lung; and the main syndromes of disease were phlegm, dampness, and qi deficiency. The main complex syndromes were spleen deficiency and dampness, liver stagnation, and qi/yin deficiency. Conclusion Middle age, high education, and multiple small ground glass nodules are the clinical characteristics of female patients with pulmonary nodules. Exposure to oil smoke is an important cause of the occurrence of female pulmonary nodules. During treatment, attention should be paid to strengthening the spleen, removing dampness, soothing the liver, regulating and tonifying qi, and nourishing yin.

The global burden of malignant tumors keeps increasing， and the increased morbidity and mortality make malignant tumors one of the major challenges to global health. Currently， malignant tumors are mainly managed by surgical resection， radiotherapy， chemotherapy， targeted therapy， and immunotherapy， which， however， usually cause serious adverse reactions， such as tissue damage， immune function inhibition， and multidrug resistance， affecting the prognosis and quality of life of the patients. Traditional Chinese medicine with low toxic and side effects and multi-target， multi-system， and multi-pathway therapeutic effects has shown positive therapeutic potential in cancer treatment. In particular， the traditional Chinese medicine with the effects of softening hardness and dissipating mass， which contains a variety of active ingredients， have shown strong inhibitory effects on tumor cells. Such medicine can not only directly attack tumor cells and inhibit their proliferation and invasion but also exert therapeutic effects by inducing apoptosis， blocking tumor-related signaling pathways， and inhibiting tumor angiogenesis. In addition， traditional Chinese medicine can improve the overall efficacy of cancer treatment by regulating the immune status of the body and reversing the drug resistance of tumor cells. Traditional Chinese medicine can exert the anti-tumor effect by regulating intracellular signaling pathways， which is one of the research hotspots in this field. Signaling pathways such as signal transducer and activator of transcription 3 （STAT3）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， and mitogen-activated protein kinase （MAPK） play a key role in the formation and development of tumors. Traditional Chinese medicine can regulate the growth， apoptosis， and metabolic process of tumor cells by affecting the activity of these signaling pathways， thus exerting the therapeutic effects on tumors. Based on these mechanisms， a large number of experimental studies and clinical trials have proved that traditional Chinese medicine has broad prospects in anti-tumor treatment. To further verify these research results and provide a basis for the clinical application of traditional Chinese medicine and the development of new drugs， a systematic review and integrated analysis of the research reports on the anti-tumor effect of traditional Chinese medicine was carried out to summarize the anti-tumor mechanisms of traditional Chinese medicine. This review is expected to promote the wide application of traditional Chinese medicine in anti-tumor treatment worldwide and bring more hope and possibility to cancer patients.

Objective To explore the changes in neural activity in patients with type 2 diabetes mellitus(T2DM)and their corre-lation with executive function,and to analyze the neural mechanisms underlying the decline in executive function in T2DM patients.Methods Thirty-one T2DM patients(T2DM group)and thirty-two healthy controls(HC)(HC group)matched for body mass index(BMI)underwent resting-state functional magnetic resonance imaging(rs-fMRI)scans and N-back task tests were included.Differ-ences in the amplitude of low-frequency fluctuation(ALFF),regional homogeneity(ReHo),and seed-based functional connectivity(FC)between the two groups were compared,and partial correlation analyses were performed between the difference results and N-back task performance.Results The T2DM group showed prolonged reaction time(RT)in the 1-back and 2-back tasks.T2DM patients exhibited increased ALFF in the bilateral caudate nucleus,left medial superior frontal gyrus,and right postcentral gyrus,as well as elevated ReHo in the right putamen.FC analysis revealed significant alterations in FC between the caudate nucleus,putamen,and multiple brain regions in T2DM patients,with some of these FC changes significantly correlated with RT and accuracy(ACC)in the N-back task.Conclusion The decline in executive function in T2DM patients may be associated with abnormal neural activity in brain regions such as the striatum,salience network,and frontoparietal control network.FC further decreases under increased cognitive load.These findings provide evidence for the study of the neural mechanisms of executive function impairment in T2DM patients.

Objective:To investigate the factors influencing the occurrence of deep vein thrombosis(DVT)in patients with knee osteoarthritis after artificial total knee arthroplasty(TKA)and to construct a nomogram prediction model.Methods:A total of 120 patients with knee osteoarthritis underwent TKA from Dec 2020 to Dec 2022 were selected.The patients were divided into DVT group(n=20)and non-DVT group(n=100)according to whether DVT occurred after surgery.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of each influencing factor to the occurrence of DVT.Multivariable logistic regression was used to analyze the factors affecting the occurrence of DVT.The nomogram prediction model of DVT was constructed by the R software 4.0"rms"package.The calibration and decision curves were used to internally validate and clinically assess the predictive efficacy of the nomogram prediction model.Results:There were significant differences between DVT group and non-DVT group in age,body mass index(BMI),diabetes mellitus,hyperlipidaemia,plasma D-dimer level,operative time,intraoperative haemorrhage,post-operative bedrest,and anaesthesia modality(P＜0.05).ROC curve showed that the AUC for age,BMI,plasma D-dimer,operative time,intraoperative haemorrhage,and postoperative bedrest were 0.663,0.678,0.985,0.856,0.925 and 0.925,respectively.Multivariable logistic regression analysis showed that age≥71 years old,BMI≥25.47 kg/m2,diabetes mellitus,hyperlipidaemia,plasma D-dimer level≥0.69 mg/L,and general anaesthesia were independent risk factors for postoperative DVT(P＜0.05).The calibration curve of the nomogram prediction model was close to the original and ideal curves,with a C-index of 0.813(0.721-0.905),indicating a high degree of fit.The threshold value of the nomogram prediction model was＞0.17,which could provide a net clinical benefit.And its net clinical benefit was higher than age,BMI,diabetes mellitus,hyperlipidemia,plasma D-dimer,and anaesthesia mode.Conclusions:The factors affecting the occurrence of DVT in patients with knee osteoarthritis after TKA are age,BMI,diabetes mellitus,hyperlipidaemia,plasma D-dimer level,operative time,intraoperative haemorrhage,postoperative bedtrest,and anaesthesia mode.The personalized neomorph prediction model constructed by these predictive factors can help to predict and evaluate whether DVT will be occurred in patients with knee osteoarthritis after TKA,so as to intervene early,reduce the incidence and improve the prognosis.

Objective:To investigate the factors influencing the occurrence of deep vein thrombosis(DVT)in patients with knee osteoarthritis after artificial total knee arthroplasty(TKA)and to construct a nomogram prediction model.Methods:A total of 120 patients with knee osteoarthritis underwent TKA from Dec 2020 to Dec 2022 were selected.The patients were divided into DVT group(n=20)and non-DVT group(n=100)according to whether DVT occurred after surgery.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of each influencing factor to the occurrence of DVT.Multivariable logistic regression was used to analyze the factors affecting the occurrence of DVT.The nomogram prediction model of DVT was constructed by the R software 4.0"rms"package.The calibration and decision curves were used to internally validate and clinically assess the predictive efficacy of the nomogram prediction model.Results:There were significant differences between DVT group and non-DVT group in age,body mass index(BMI),diabetes mellitus,hyperlipidaemia,plasma D-dimer level,operative time,intraoperative haemorrhage,post-operative bedrest,and anaesthesia modality(P＜0.05).ROC curve showed that the AUC for age,BMI,plasma D-dimer,operative time,intraoperative haemorrhage,and postoperative bedrest were 0.663,0.678,0.985,0.856,0.925 and 0.925,respectively.Multivariable logistic regression analysis showed that age≥71 years old,BMI≥25.47 kg/m2,diabetes mellitus,hyperlipidaemia,plasma D-dimer level≥0.69 mg/L,and general anaesthesia were independent risk factors for postoperative DVT(P＜0.05).The calibration curve of the nomogram prediction model was close to the original and ideal curves,with a C-index of 0.813(0.721-0.905),indicating a high degree of fit.The threshold value of the nomogram prediction model was＞0.17,which could provide a net clinical benefit.And its net clinical benefit was higher than age,BMI,diabetes mellitus,hyperlipidemia,plasma D-dimer,and anaesthesia mode.Conclusions:The factors affecting the occurrence of DVT in patients with knee osteoarthritis after TKA are age,BMI,diabetes mellitus,hyperlipidaemia,plasma D-dimer level,operative time,intraoperative haemorrhage,postoperative bedtrest,and anaesthesia mode.The personalized neomorph prediction model constructed by these predictive factors can help to predict and evaluate whether DVT will be occurred in patients with knee osteoarthritis after TKA,so as to intervene early,reduce the incidence and improve the prognosis.

Objective To explore the changes in neural activity in patients with type 2 diabetes mellitus(T2DM)and their corre-lation with executive function,and to analyze the neural mechanisms underlying the decline in executive function in T2DM patients.Methods Thirty-one T2DM patients(T2DM group)and thirty-two healthy controls(HC)(HC group)matched for body mass index(BMI)underwent resting-state functional magnetic resonance imaging(rs-fMRI)scans and N-back task tests were included.Differ-ences in the amplitude of low-frequency fluctuation(ALFF),regional homogeneity(ReHo),and seed-based functional connectivity(FC)between the two groups were compared,and partial correlation analyses were performed between the difference results and N-back task performance.Results The T2DM group showed prolonged reaction time(RT)in the 1-back and 2-back tasks.T2DM patients exhibited increased ALFF in the bilateral caudate nucleus,left medial superior frontal gyrus,and right postcentral gyrus,as well as elevated ReHo in the right putamen.FC analysis revealed significant alterations in FC between the caudate nucleus,putamen,and multiple brain regions in T2DM patients,with some of these FC changes significantly correlated with RT and accuracy(ACC)in the N-back task.Conclusion The decline in executive function in T2DM patients may be associated with abnormal neural activity in brain regions such as the striatum,salience network,and frontoparietal control network.FC further decreases under increased cognitive load.These findings provide evidence for the study of the neural mechanisms of executive function impairment in T2DM patients.

Objectives:To investigate the association between social determinants of health(SDOH)and incident stroke and analyze the main risk factors for stroke among resident with different SDOH levels. Methods:From 2012 to 2015,30 036 residents(≥35 years old)from 30 districts in 14 provincial-level administrative divisions in China were enrolled this study based on stratified multi-stage-random-sampling method.The prevalence of cardiovascular diseases and related risk factors were investigated,and stroke events were followed up in 2018 to 2019.Principal component analysis was performed to establish SDOH scores based on 9 indicators related to socioeconomic and healthcare resources,participants were divided into low SDOH group(n=8 343)when it was≥-2.01 to<-1.14,middle SDOH group(n=7 257)when it was≥-1.14 to<0.10,and high SDOH group(n=8 457)when it was≥0.10 to≤5.79.Multivariate Cox regression was applied to estimate the association of SDOH levels with incident stroke.The random survival forest method was used to analyze the major risk factors in different SDOH levels. Results:A total of 24 057 participants were finally included,669(2.8%)participants developed stroke during a mean of(4.7±0.8)years follow-up.The incidence densities of stroke in the low,medium,and high SDOH groups were 468.39,628.85,and 700.39/100 000 person-years,respectively(Pdifference<0.05,Ptrend=0.01).Compared with individuals with low SDOH level group,fully HR for incident stroke among those with medium and high were 1.91(95%CI:1.54-2.36)and 1.59(95%CI:1.30-1.95),respectively(Ptrend<0.001).Advanced age is the primary risk factor for stroke in the population,especially in districts with high SDOH level.In districts with medium SDOH level,diabetes is an important risk factor for stroke.High blood pressure and alcohol consumption are important modifiable risk factors in low SDOH level districts. Conclusions:Present study shows that higher levels of SDOH are associated with increased risk of stroke.The main risk factors for stroke differ among participants with different SDOH level districts.Targeted interventions should be implemented to improve the prevention and treatment of stroke in populations with different levels of SDOH.

Objective To explore the therapeutic effect of traditional Chinese medicine(TCM)on subsolid nodule(SSN).Methods A practical randomized controlled study method,including 254 SSN patients was adopted.The patients were divided into the TCM(102 cases)and follow-up(152 cases)groups.The follow-up group received regular check-ups in accordance with the guidelines,and the TCM group received TCM syndrome differentiation treatment for 24 weeks.The two groups were compared in terms of the changes in their SSN diameter,SSN number,TCM symptom score,and overall therapeutic effect before and after treatment.Adverse reactions and safety indicators were also recorded.Results The TCM group showed a significantly higher effective rate of treatment(16.7%)than the follow-up group(2.6%)(P<0.01).Compared with their condition before treatment,the TCM group showed no significant changes in their SSN diameter and number but presented considerably reduced fatigue,yellow and red urine symptoms,and overall TCM symptom score(P<0.05).The follow-up group exhibited significantly increased diameter and number of SSN(P<0.01).The follow-up group showed the significantly higher increase in SSN diameter after treatment than the TCM group(P<0.05).Moreover,the follow-up group showed significantly higher fatigue,depression,yellow and red urine symptom scores,and overall TCM symptom score than the TCM group(P<0.05 or P<0.01).Conclusion TCM treatment for SSN has a distinct clinical efficacy,reduces the malignant risk of SSN and improves clinical symptoms of SSN patients,and is safe and feasible.

Nowadays potential preclinical drugs for the treatment of nonalcoholic steatohepatitis (NASH) have failed to achieve expected therapeutic efficacy because the pathogenic mechanisms are underestimated. Inactive rhomboid protein 2 (IRHOM2), a promising target for treatment of inflammation-related diseases, contributes to deregulated hepatocyte metabolism-associated nonalcoholic steatohepatitis (NASH) progression. However, the molecular mechanism underlying Irhom2 regulation is still not completely understood. In this work, we identify the ubiquitin-specific protease 13 (USP13) as a critical and novel endogenous blocker of IRHOM2, and we also indicate that USP13 is an IRHOM2-interacting protein that catalyzes deubiquitination of Irhom2 in hepatocytes. Hepatocyte-specific loss of the Usp13 disrupts liver metabolic homeostasis, followed by glycometabolic disorder, lipid deposition, increased inflammation, and markedly promotes NASH development. Conversely, transgenic mice with Usp13 overexpression, lentivirus (LV)- or adeno-associated virus (AAV)-driven Usp13 gene therapeutics mitigates NASH in 3 models of rodent. Mechanistically, in response to metabolic stresses, USP13 directly interacts with IRHOM2 and removes its K63-linked ubiquitination induced by ubiquitin-conjugating enzyme E2N (UBC13), a ubiquitin E2 conjugating enzyme, and thus prevents its activation of downstream cascade pathway. USP13 is a potential treatment target for NASH therapy by targeting the Irhom2 signaling pathway.

Objective:To investigate the prevalence of albuminuria in Chinese residents aged >35 years and its potential association with cardiovascular disease (CVD).Methods:A total of 34 647 Chinese subjects aged ≥35 years were selected by stratified multi-stage random sampling from 2012 to 2015. Data were collected through questionnaires, physical examinations, and laboratory tests. Albuminuria was categorized into 3 types according to urinary albumin-to- creatinine ratio: normal (<30 mg/g), microalbuminuria (MAU, 30-300 mg/g), and macroalbuminuria (≥300 mg/g). Measurement data were expressed as xˉ±s, and t-tests were used for comparisons between indicators. Qualitative data were expressed as rate or constituent ratio, and the χ2 test or Kruskal-Wallis test was used to examine differences. Logistic regression was used for multivariate analyses. SAS 9.4 software was used for statistical analyses, and P<0.05 was considered statistically significant. Results:The prevalence of abnormal albuminuria was 19.1%; the prevalence was 17.2% for MAU and lower in males (13.8%) than females (20.1%, P<0.01). The risk of CVD was higher among subjects with MAU ( OR=1.23, 95% CI 1.12-1.35) and macroalbuminuria ( OR=1.86, 95% CI 1.50-2.32). When MAU was complicated by hypertension and diabetes mellitus, the CVD risk was 1.76 times higher. Conclusions:The prevalence of MAU is high among Chinese subjects aged 35 years and over. Those with MAU have higher CVD risk, especially those with hypertension and diabetes mellitus.