BACKGROUND: Lung cancer is one of the malignant cancers with the highest incidence rate, and it is important to identify the factors contributing to lung cancer carcinogenesis for prevention. Lifestyle and genetic factors play important roles in cancer development, however the impact of dietary factors, such as soy product intake, on lung cancer risk remains inadequately understood. This study aims to explore the associations between soy product intake, genetic risk, and lung cancer incidence, and validate the consistent effects of soy product intake in European populations, thereby providing new insights for lung cancer prevention. METHODS: Utilizing the Shanghai Suburban Adult Cohort and Biobank (SSACB) (n=66,311), Cox proportional hazards model was adopted to assess the association between soy product intake and lung cancer incidents, followed by subgroup analyses stratified by gender, smoking status, and pathological types of lung cancer. The UK Biobank (UKB) was used for validation of the effect of soy product intake on lung cancer. To investigate the association between genetic factors and lung cancer, in addition to previously reported loci, we incorporated newly identified loci from two independent studies in Southeast China: a nested case-control population from the SSACB cohort (433 cases/650 controls) and a case-control study from the Shanghai Cancer Center-Taizhou cohort (1359 cases/1359 controls). Meta-analysis and Linkage disequilibrium clumping (LD clumping) of the association results identified 23 loci for polygenic risk score (PRS) construction. Subsequently, conditional Logistic regression model was used to assess the association between genetic risk and lung cancer. RESULTS: In SSACB cohort, after adjusting for age, gender, smoking, chronic bronchitis, body mass index (BMI), vegetable intake and red meat intake, sufficient soy product intake was significantly associated with a reduced risk of lung cancer [hazard ratio (HR)=0.60, 95%CI: 0.47-0.77, Padj=6.69E-05], an effect that was consistent in males and females, smokers and non-smokers. In UKB, although the association did not reach statistical significance, a protective trend against lung cancer was also observed (HR=0.76, 95%CI: 0.55-1.06, Padj=0.10). In the nested case-control population within SSACB, a PRS score generated in the Chinese population was significantly correlated with lung cancer risk. After adjustment of age, gender, smoking, chronic bronchitis, and soy product intake, the high-PRS group had a 1.88 times higher risk of lung cancer compared to the low-PRS group (Padj=1.84E-03). CONCLUSIONS The prospective cohort study found that adequate intake of soy products was significantly associated with a reduced risk of lung cancer, while a high PRS is a risk factor for lung cancer development. Integrating soy product intake and PRS into traditional epidemiological risk factor prediction will guide personalized lung cancer prevention and high-risk population stratification.
Humans ; Lung Neoplasms/etiology* ; Male ; Female ; China/epidemiology* ; Middle Aged ; Adult ; Aged ; Prospective Studies ; Biological Specimen Banks ; Risk Factors ; Case-Control Studies ; Cohort Studies

Objective:To identify and analyze the genuine medicinal plant Gentiana scabra Bge. from 9 regions in Liaoning Province using DNA barcode technology based on the base sequence of internal transcribed spacer. Methods:DNA was extracted from the medicinal parts of 26 Gentiana scabra Bge. samples by using DNA kit extraction method. The ITS sequence was amplified through polymerase chain reaction (PCR), and then two-way sequencing was carried out. Other sources and outgroup sequences of the medicinal plant Gentiana scabra Bge. were downloaded from Genbank. After the sequencing results were spliced by using SeqMan 7.1.0 software, MEGA 7.0 software was used to analyze and compare the data, and calculate the genetic distance of K2P (Kimura 2-parameter). The phylogenetic tree was established by Neighbor-Joining (NJ) method for analysis. Results:According to the results of NJ cluster tree, all Gentiana scabra Bge. samples from different sources were clustered into one large branch, and Gentiana scabra Franch. and Gentiana triflora Pall. were clustered into one branch respectively, with obvious differences; Gentiana scabra and Gentiana manshurica Kitag. were clustered into one branch, and the genetic relationship was relatively close. In combination with the variation site and genetic distance, the base sequences of Gentiana scabra and Gentianamanshurica were very similar, and the interspecific differences were very small. Except for the intraspecific variation of only one sample collected in Liaoning Province, the base sequences of the other samples were the same, and there was no difference between " Gentiana scabra Bge. in Qingyuan" and Gentiana scabra Bge. samples from other regions in Liaoning Province. Conclusion:The DNA barcode technology of ITS sequence can be used to differentiate and identify medicinal plant Gentiana scabra Bge. and its original plants from different sources with a high success rate.

Objective:To use rbcL sequences to identify the rhizomes of the Liaoning collection of Atractylodes chinensis (DC.) Koidz.; To provide a basis for ensuring the feasibility of cultivation of the native herb in Liaoning Province. Methods:A total of 30 rhizomes of Atractylodes chinensis (DC.) Koidz. were collected from 10 regions cultivated in Liaoning Province, and the total DNA was extracted. DNA barcodes were screened by PCR, and the rbcL sequences of the samples were amplified and sequenced, and the amplification and sequencing success rates were calculated. Sequence alignment was performed using MEGA 7.0 software; a systematic clustering tree was constructed using the neighbour-joining method. Results:The success rates of DNA extraction from the rhizomes of Atractylodes chinensis (DC.) Koidz. were all 93.3%, and the success rates of PCR amplification and sequencing were all 100%. Among the 30 samples of Atractylodes chinensis (DC.) Koidz. in Liaoning Province, two samples had intraspecific variation, and the rest of the base sequences of Atractylodes chinensis (DC.) Koidz. were identical. Atractylodes chinensis (DC.) Koidz. was closer to the herbs of the genus Cangzhu, a relative species of Asteraceae, and was genetically more distant from the rest of Asteraceae. The NJ tree could distinguish Atractylodes chinensis (DC.) Koidz. and its relatives. Conclusion:The quality of Atractylodes chinensis (DC.) Koidz. cultivars in Liaoning Province is basically similar, and the rbcL sequence can be used as a valid sequence fragment for the identification of Atractylodes chinensis (DC.) Koidz. DNA barcode.

With intensified aging， Alzheimer's disease has become a serious problem in China's health field. In the field of traditional Chinese medicine （TCM）， Alzheimer's disease mainly describes cognitive deficits such as dementia and amnesia. After the inheritance and summary by medical experts of successive generations， the theory of "toxin damaging brain collaterals" has become a mature pathogenesis hypothesis of this disease. Blood stasis， as one of the main viral pathogens， is also closely related to the theory of Alzheimer's disease in modern pharmacology. Chuanxiong Rhizoma is used frequently in clinical prescriptions for Alzheimer's disease. As the main component of Chuanxiong Rhizoma， tetramethylpyrazine has a series of pharmacological effects on the cardiovascular system such as vasodilation， anti-platelet aggregation， anti-atherosclerosis， and anti-myocardial ischemia， which reflects the effects of Chuanxiong Rhizoma in activating blood circulation and removing blood stasis. However， few studies have focused on the effect of tetramethylpyrazine on the pathogenesis of Alzheimer's disease. From the perspective of TCM theory and modern pharmacology， this article discussed the effects of tetramethylpyrazine on the pathology and pathogenesis of Alzheimer's disease from the aspects of cardiovascular function， oxidative stress， inflammatory response， mitochondrial function， and cholinergic system and made prospects for the future application of tetramethylpyrazine to prevent and treat Alzheimer's disease.

Objective: To conduct a scoping review on prognostic prediction models for patients with comorbidity of chronic diseases, and understand modeling methods, predictive factors and predictive effect of the models, so as to provide the reference for prognostic evaluation on patients with comorbidity of chronic diseases. Methods: Literature on prognostic prediction models for patients with comorbidity of chronic diseases was collected through SinoMed, CNKI, Wanfang Data, VIP, PubMed, Embase, Cochrane Library and Web of Science published from the time of their establishment to November 1, 2023. The quality of literature was assessed using prediction model risk of bias assessment tool (PROBAST), then modeling methods, predictive factors and predictive effects were reviewed. Results: Totally 2 130 publications were retrieved, and nine publications were finally enrolled, with an overall high risk of bias. Thirteen models were involved, with three established using machine learning methods and ten established using logistic regression. The prediction results of four models were death, with main predictive factors being age, gender, body mass index (BMI), Barthel index and pressure ulcers; the prediction results of nine models were rehospitalization, with main predictive factors being age, BMI, hospitalization frequency, duration of hospital stay and hospitalization costs. Eleven models reported the area under the receiver operating characteristic curve (AUC), ranging from 0.663 to 0.991 6; two models reported the C-index, ranging from 0.64 to 0.70. Eight models performed internal validation, one model performed external validation, and four models did not reported verification methods. Conclusions The prognostic prediction models for patients with comorbidity of chronic diseases are established by logistic regression and machine learning methods with common nursing evaluation indicators, and perform well. Laboratory indicators should be considered to add in the models to further improve the predictive effects.

Objective: To systematically evaluate the influencing factors for medication compliance in patients with comorbidities of chronic diseases, so as to provide the evidence for improving medication compliance. Methods: Literature on influencing factors for medication compliance in patients with comorbidities of chronic diseases were retrived from CNKI, Wanfang Data, VIP, SinoMed, PubMed, Web of Science, Cochrane Library and Embase from inception to January 20, 2024. After independent literature screening, data extraction, and quality assessment by two researchers, a meta-analysis was performed using RevMan 5.4 and Stata 16.0 softwares. Literature were excluded one by one for sensitivity analysis. Publication bias was assessed using Egger's test. Results: Initially, 7 365 relevant articles were retrieved, and 35 of them were finally included, with a total sample size of about 150 000 individuals. There were 30 cross-sectional studies and 5 cohort studies; and 11 high-quality studies and 24 medium-quality studies. The meta-analysis showed that the demographic factors of lower level of education (OR=2.148, 95%CI: 1.711-2.696), lower economic income (OR=1.897, 95%CI: 1.589-2.264), male (OR=0.877, 95%CI: 0.782-0.985), living alone (OR=2.833, 95%CI: 1.756-4.569) and unmarried (OR=2.784, 95%CI: 1.251-6.196); the medication treatment factors of polypharmacy (OR=1.794, 95%CI: 1.190-2.706), potentially inappropriate medication (OR=2.988, 95%CI: 1.527-5.847), low frequency of daily medication (OR=0.533, 95%CI: 0.376-0.754) and adverse drug reactions (OR=3.319, 95%CI: 1.967-5.602); the disease factors of long course of disease (OR=2.118, 95%CI: 1.643-2.730), more comorbidities (OR=1.667, 95%CI: 1.143-2.431) and cognitive impairment (OR=2.007, 95%CI: 1.401-2.874); and the psychosocial factors of poor belief in taking medication (OR=1.251, 95%CI: 1.011-1.547), poor self-rated health (OR=1.990, 95%CI: 1.571-2.522) and being guided by healthcare professionals (OR=0.151, 95%CI: 0.062-0.368) were the influencing factors for medication compliance in patients with chronic comorbidities. Conclusion The medication compliance in patients with comorbidities of chronic diseases is associated with demographic factors, pharmacological factors, disease factors and psychosocial factors, mainly including living alone, adverse drug reactions, course of disease, number of comorbidities and medication beliefs.

To explore the application value of endoscopic ultrasound fine-needle aspiration (EUS-FNA) and endoscopic retrograde cholangiopancreatography (ERCP) in the diagnosis and treatment ofpatients with pancreatic cancer combined with obstructive jaundice.

Objective To investigate the therapeutic effect of Qiwei Zhigan prescription on two classic animal models of non-alcoholic steatohepatitis(NASH).Methods Methionine-choline-deficient(MCD)rat model and choline-deficient,L-amino acid-defined,high-fat and high cholesterol diet(CDAHFHC)mouse model were used.48 rats and 96 mice were randomly divided into 6 groups:control group,model group,Qiwei Zhigan prescription group(low,medium and high dose group),positive drug group.After 2 weeks of modeling,the drugs were administrated continuously for 28 days.The efficacy of Qiwei Zhigan prescription in the treatment of non-alcoholic steatohepatitis was evaluated by detecting the serum liver function,blood lipid biochemical index and liver tissue lipid levels of each group of animals,as well as by evaluating the liver histopathological changes.Results The gross anatomical morphology of the liver was improved by Qiwei Zhigan after oral administration of clinical equivalent dose or higher doses in two experimental animal models.The liver weight and liver index of NASH mice were reduced by the prescription.The levels of ALT,ALP and LDH in serum of NASH rats were decreased,and the level of HDL was increased.The levels of ALT,AST,TBIL,ALP,LDH and TG in serum of NASH mice were decreased,and the content of TG in liver was also decreased.The pathological damage of liver tissue was ameliorated,the inflammation of liver tissue was reduced,as well as the degree of ballooning of liver cells and the NAS score of the liver,and there was a certain dose-effect relationship between the groups;the proliferation of collagen fibers in the hepatic lobules and around the portal area of NASH mice was significantly reduced;the density of positive cells labeled by F4/80 was decreased,and the activation of Kupffer cells was alleviated.Conclusion Qiwei Zhigan prescription could effectively ameliorate the progression of two classic NASH models,and decrease the development trend from liver inflammation to liver fibrosis in NASH.

Objective To assess the value of cardiac magnetic resonance(CMR)imaging for predicting adverse left ventricular remodeling in patients with ST-segment elevation myocardial infarction(STEMI).Methods We retrospectively analyzed the clinical data and serial CMR(cine and LGE sequences)images of 86 STEMI patients within 1 week and 5 months after percutaneous coronary intervention(PCI),including 25 patients with adverse LV remodeling and 61 without adverse LV remodeling,defined as an increase of left ventricular end-systolic volume(LVESV)over 15%at the second CMR compared to the initial CMR.The CMR images were analyzed for LV volume,infarct characteristics,and global and infarct zone myocardial function.The independent predictors of adverse LV remodeling following STEMI were analyzed using univariate and multivariate Logistic regression methods.Results The initial CMR showed no significant differences in LV volume or LV ejection fraction(LVEF)between the two groups,but the infarct mass and microvascular obstructive(MVO)mass were significantly greater in adverse LV remodeling group(P<0.05).Myocardial injury and cardiac function of the patients recovered over time in both groups.At the second CMR,the patients with adverse LV remodeling showed a significantly lower LVEF,a larger left ventricular end-systolic volume index(LVESVI)and a greater extent of infarct mass(P<0.001)with lower global peak strains and strain rates in the radial,circumferential,and longitudinal directions(P<0.05),infarct zone peak strains in the 3 directions,and infarct zone peak radial and circumferential strain rates(P<0.05).The independent predictors for adverse LV remodeling following STEMI included the extent of infarct mass(AUC=0.793,95%CI:0.693-0.873;cut-off value:30.67%),radial diastolic peak strain rate(AUC=0.645,95%CI:0.534-0.745;cut-off value:0.58%),and RAAS inhibitor(AUC= 0.699,95%CI:0.590-0.793).Conclusion The extent of infarct mass,peak radial diastolic strain rate,and RAAS inhibitor are independent predictors of adverse LV remodeling following STEMI.

Japanese encephalitis is an acute central nervous system infectious disease caused by Japanese encephalitis virus (JEV) with brain parenchyma inflammation, characterized by high fever, headache, positive meningeal irritation, impaired consciousness, convulsion, and respiratory failure, with mortality rate as high as 20%-30%, and with neurological sequelae in 30%-50% of survivors. The mechanism of brain damage caused by JEV infection is still unclear, and some studies imply its close relation with immune-inflammatory response. This article reviews the research progress on immune-inflammatory response mechanism of Japanese encephalitis to help to understand its pathogenesis.