This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Antibody (Ab) humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic Abs originated from animal models. Computational suggestions have long been desired, but available tools focused on immunogenicity calculation of whole Ab sequences and sequence segments, missing the individual residue sites. This study introduces Site-specific Immunogenicity for Therapeutic Antibody (SITA), a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody, but also individual residues, based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures. A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Ab-Ab structural complexes. On an independent testing dataset derived from 13 Ab-Ab structural complexes, SITA successfully predicted the epitope sites for Ab-Ab structures with a receiver operating characteristic (ROC)-area unver the ROC curve (AUC) of 0.85 and a precision-recall (PR)-AUC of 0.305 at the residue level. Furthermore, the SITA score can significantly distinguish immunogenicity levels of whole human Abs, therapeutic Abs and non-human-derived Abs. More importantly, analysis of an additional 25 therapeutic Abs revealed that over 70% of them were detected with decreased immunogenicity after modification compared to their parent variants. Among these, nearly 66% Abs successfully identified actual modification sites from the top five sites with the highest SITA scores, suggesting the ability of SITA scores for guide the humanization of antibody. Overall, these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

Objective To explore the mechanism of Baihu Decoction in the treatment of acute lung injury based on network pharmacology and molecular docking technology;To carry out experimental verification.Methods The active components and targets of Baihu Decoction were searched through TCMSP and BATMAN-TCM databases,and human gene searches were conducted in GeneCards,NCBI,and OMIM databases.PPI network construction and GO and KEGG pathway enrichment analysis were conducted to determine the important signaling pathways of Baihu Decoction and acute lung injury.Molecular docking of main active components and core target proteins was performed.The effects of Baihu Decoction on survival rate and inflammatory cytokine content in acute lung injury lethal model mice were observed through animal experiments.Results Totally 211 common targets for Baihu Decoction and acute lung injury were screened,and identified effective components such as quercetin,kaempferol,and stigmasterol,etc.Analysis of KEGG pathway enrichment indicated that Baihu Decoction exerted its pharmacological effects in acute lung injury through a variety of signal pathways,including Toll-like receptor signaling pathway,NOD-like receptor signaling pathway,T cell receptor signaling pathway,and MAPK signaling pathway.Molecular docking results showed that Baihu Decoction had good binding strength with MAPK14,STAT3,JUN,MAPK1,MAPK3,FOS and RELA.The results of animal experiments showed that compared with the model group,the survival rate of mice in the Baihu Decoction group was significantly increased,the degree of pathological injury in the lung tissue was reduced,and serum IL-6,TNF-α contents decreased significantly(P<0.05).Conclusion Baihu Decoction can treat acute lung injury by reducing pathological injury to lung tissue and releasing of inflammatory factors.

Objective To analyze the medication law and academic thoughts of national TCM master Qian Ying in the treatment of chronic hepatitis B through data mining.Methods Totally 168 cases of chronic hepatitis B treated by Professor Qian Ying from Mar.2000 to Dec.2020 were retrospectively collected,and the properties,tastes and tropism meridians,core prescriptions and drug groups of the prescription drugs were analyzed by using the famous doctor inheritance platform.Results Totolly 168 medical cases involved 168 patients and 227 kinds of Chinese materia medica,with a total frequency of 2 158 times.The characteristics of properties,tastes and tropism meridians showed that the main property was cold,and the main taste was bitter,and the main meridian was liver meridian.34 kinds of high-frequency Chinese materia medica(mainly were tonics,heat-clearing medicines,and medicines for activating blood circulation and reducing stasis),28 kinds of core Chinese materia medica,10 pairs of highly co-occurring drugs,and 10 potential drug groups were mined.Conclusion Professor Qian Ying believes that the pathogenesis of chronic hepatitis B is deficiency in nature and excess in superficiality,and the treatment focuses on tonifying deficiency.It is often treated from the liver and emphasizes the harmonization of liver,spleen and kidney.Tonifying deficiency,clearing heat,promoting blood circulation and removing blood stasis are the main treatment methods,followed by dispelling dampness,promoting qi,eliminating phlegm,opening stagnation and relieving the exterior,etc.He pays attention to the harmonization of body and use,is good at using multiple methods.

Objective To construct clinical imaging model,radiomics model,and a combined model based on the above two for predicting lymph node metastasis(LNM)of colon cancer(CC),and to compare the diagnostic performance of each model.Methods The data from 328 CC patients confirmed by surgical pathology were analyzed retrospectively,including 156 with LNM.All patients were randomly divided into training group(229 cases)and validation group(99 cases)at a ratio of 7∶3.The difference of clinical imaging indicators were compared between groups and a clinical imaging model for diagnosing LNM was constructed.The tumor three-dimensional volume of interest(VOI)was used for radiomics feature extraction,and after dimensionality reduction and selection,8 features were obtained to construct the Radiomics score(Radscore).A combined model of clinical imaging indicators and Radscore was built.The diagnostic performance of each model for LNM was compared,and the calibration and clinical benefit of the optimal model were evaluated.Results There were statistical differences in clinical imaging indicators between the two groups:carcinoembryonic antigen(CEA),CA199,tumor long diameter,and lymph node short diameter(P＜0.05).The area under the curve(AUC)of the clinical imaging model,radiomics model,and combined model were 0.721,0.814,0.854(training group),and 0.744,0.732,0.808(validation group),respectively.The AUC of the combined model was the highest,and both the training and validation groups were higher than that of the clinical imaging model(P＜0.05).The combined model demonstrated higher calibration,with a clinical benefit from decision curve analysis(DCA)threshold range of 0.09 to 0.91.Conclusion The nomogram constructed based on clinical imaging indicators and CT radiomics holds high value in diagnosing LNM of CC.

Objective To study the medication law of Professor Qian Ying in the treatment of primary liver cancer based on data mining technology;To provide ideas for the clinical treatment of primary liver cancer.Methods Outpatient TCM prescriptions of Professor Qian Ying for the treatment of liver cancer from November 2008 to August 2020 were collected,and a data table was established after sorting.The drug frequency,property and taste and tropism were analyzed using Excel 2019.The medical case analysis module of the Great Physician Inheritance Platform was used to analyze the core drugs,the symbiosis analysis between drug pairs,the drug association analysis,and the drug clustering analysis of the screened TCM prescriptions.Results Totally 108 prescriptions were included,involving 188 kinds of Chinese materia medica,with a total frequency of 1 322 times.High-frequency drugs included Hedyotis Sinensis,Angelicae Sinensis Radix,Visci Herba,Curcumae Radix,Salviae Miltiorrhizae Radix et Rhizoma,etc.The medicinal properties were mainly cold,mild and warm,and the tastes were mainly bitter,sweet and pungent,and the main meridians were liver meridians,spleen meridians,kidney meridians and stomach meridians.There were 9 pairs of high frequency drug combinations in drug association,such as Curcumae Radix-Polygoni Orientalis Fructus,Visci Herba-Curcumae Rhizoma.In the correlation analysis of drug disease,the ones with higher correlations include"stomachache-Salviae Miltiorrhizae Radix et Rhizoma""abdominal mass-Paeoniae Radix Rubra and Citri Reticulatae Pericarpium""tinnitus-Adenophorae Radix,Lycii Fructus,Visci Herba""prolonged sublingual collaterals-Curcumae Rhizoma,Polygoni Orientalis Fructus,Salviae Miltiorrhizae Radix et Rhizoma"and so on.Drug clustering could be divided into three potential drug clusters.Conclusion Professor Qian Ying often uses heat-clearing drugs,tonifying drugs,and promoting qi and blood circulation drugs to treat liver cancer,with Huqi Powder as the main formula and modified according to the syndromes.Clearing heat and detoxifying,soothing liver and relieving depression,removing blood stasis and regulating collatrals are used to treat its symptoms,and tonifying qi and invigorating spleen,regulating liver and nourishing liver and kidney are used to treat its essence.

Objective:To assess the clinical features and effectiveness of antiviral therapy in newborns with sensorineural hearing loss (SNHL) caused by congenital congenital cytomegalovirus (cCMV) infection, and to speculate the risk factors for poor hearing outcomes.Methods:A multicenter prospective cohort study wasconducted, enrolling 176 newborns diagnosed with cCMV at four research centers in Zhejiang Province from March 1, 2021, to April 30, 2024. Clinical characteristics at birth were recorded and hearing was followed up. The children were divided into groups based on their condition at birth, specifically into asymptomatic, mild symptom, and moderate to severe symptom groups. Additionally, they were divided into SNHL and normal hearing groups based on the results of air conduction brainstem audiometry at birth. And they were also divided into treatment and untreated groups according to antiviral treatment. Mann Whitney U test, and chi square test were used for inter group comparison to analyze the differences in clinical features between different disease groups, and to analyze the effects of clinical features, antiviral therapy, and other factors on hearing improvement. Logistic regression analysis was employed to identify the risk factors influencing hearing outcomes. Results:Among the cohort of 176 children diagnosed infection with cCMV, 90 cases were male and 86 cases were female. Of these, 79 cases were asymptomatic, 12 cases classified as mild cCMV and 85 cases as moderate to severe cCMV. Fifty cases belonged to SNHL group, with different degrees of severity, including 30 cases of mild, 9 cases of moderate, 5 cases of severe, and 6 cases of extremely severe SNHL. Among the 121 cases in the normal hearing group, 2 cases (1.7%) exhibited late-onset hearing loss despite having normal hearing at birth. Among 81 cases (46.0%) who completed the hearing follow-up, 71 cases (87.7%) had good hearing outcomes and 10 cases (12.3%) had poor hearing outcomes. Among the 81 children, 29 cases (35.8%) had SNHL at birth. During follow-up, the hearing threshold improved in 19 cases (65.5%), remained stable in 7 cases (24.1%) and progressed in 3 cases (10.3%). A total of 26 cases in the treatment group and 55 cases in the untreated group completed the hearing follow-up assessment. The rate of hearing improvement in the treatment group was found to be higher compared to the untreated group (13 cases (50.0%) vs. 6 cases (10.9%), χ2=15.00, P<0.01), with individuals in the treatment group having a 4.58 times greater likelihood of experiencing hearing improvement ( RR=4.58,95% CI 1.96-10.70, P<0.05). However, no statistically significant difference was observed in hearing outcomes between the antiviral treatment group and the untreated group ( RR=0.90, 95% CI 0.57-1.41, P=0.517). Multivariate analysis further confirmed SNHL ( OR=11.58, 95% CI 2.10-63.93, P=0.005) and preterm birth ( OR=4.98, 95% CI 1.06-23.41, P=0.042) as independent risk factors for poor hearing outcomes. Conclusions:SNHL resulting from cCMV infection presents symptoms at birth and can be improved by antiviral therapy. Poor hearing outcomes are associated with SNHL and prematurity.

Iron is an indispensable nutritional element for human growth and development. It has a protective effect on cardiovascular. The changes and metabolism of iron can affect the physiological and pathological state of the body. Current research has confirmed that iron overload will promote the synthesis of cholesterol and increase lipid metabolism disorders. Lipid metabolic disorders in the body easily induce the occurrence and development of related metabolic diseases, and increase the hidden dangers of the outbreak of relevant risk factors. This article reviews iron and lipid metabolic and other metabolic diseases and natural products to prevent diseases through iron metabolic pathway, which aims to provide more powerful references for in-depth research on the mechanism of metabolic diseases and related diseases and target drug research and development.

Background/Aims: Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China. Methods: A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators. Results: Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders. Conclusions In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.