Patients with Takayasu arteritis combined with aortic valve disease often have a poor prognosis following surgical valve replacement, frequently encountering complications such as perivalvular leakage, valve detachment, and anastomotic aneurysm. This article presents a high-risk case wherein severe aortic valve insufficiency associated with Takayasu arteritis was successfully managed through transcatheter aortic valve implantation via the transapical approach. The patient had satisfactory valve function with no complications observed during the six-month postoperative follow-up. This case provides a minimally invasive and feasible alternative for the clinical management of such high-risk patients.

Objective:To investigate the pathological characteristics of post-cholecystectomy specimens from patients with benign gallbladder diseases.Methods:This retrospective case series study analyzed clinical and pathological data from 1 712 patients who underwent cholecystectomy for benign gallbladder diseases at the Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between September 2022 and August 2024. The cohort included 757 males and 955 females, with an age ( M(IQR)) of 57(23) years (range: 14 to 91 years). Clinical and pathological features were analyzed. The χ2 test was used to compare clinical characteristics between patients with neoplastic and non-neoplastic polyps. Factors statistically significant in the χ2 test were subsequently included in a binary logistic regression analysis. Results:Postoperative pathological examination revealed gallbladder cancer in 7 patients (0.41%). These 7 cases, including 2 with pT3 stage cancer, were not detected preoperatively by various imaging examinations (ultrasound+magnetic resonance cholangiopancreatography/MRI plain scan in 3 cases, ultrasound+enhanced MRI in 1 case, ultrasound+enhanced CT in 2 cases, enhanced CT+enhanced MRI in 1 case). Gallbladder adenoma was found in 23 cases (1.34%), neoplastic polyps (including cholesterol polyps with dysplasia) in 29 cases (1.69%), and non-neoplastic polyps in 154 cases (9.00%). Statistically significant differences were observed in age and polyp number between patients with neoplastic and non-neoplastic polyps ( χ2=10.436 and 8.030; both P<0.05). Binary logistic regression analysis identified age ≥60 years ( P=0.003) and solitary polyps ( P=0.009) as risk factors for neoplastic polyps. Mucosal dysplasia was present in 164 cases (9.58%), including 9 cases of severe dysplasia, 4 of which exhibited focal carcinomatous transformation. Gallbladder polyps combined with stones were found in 90 cases (5.26%), among which 10 were associated with adenoma and mucosal dysplasia, and 2 showed focal carcinomatous transformation. Conclusions:The incidence of incidental gallbladder carcinoma was 0.41%. Intraoperative bile spillage can severely compromise prognosis. Preoperative imaging demonstrates a low detection rate for neoplastic polyps. Particular vigilance for neoplastic polyps is warranted in patients aged ≥60 years or with solitary polyps. Cholecystectomy should be performed promptly for benign gallbladder diseases meeting surgical indications.

Objective:To investigate the pathological characteristics of post-cholecystectomy specimens from patients with benign gallbladder diseases.Methods:This retrospective case series study analyzed clinical and pathological data from 1 712 patients who underwent cholecystectomy for benign gallbladder diseases at the Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine between September 2022 and August 2024. The cohort included 757 males and 955 females, with an age ( M(IQR)) of 57(23) years (range: 14 to 91 years). Clinical and pathological features were analyzed. The χ2 test was used to compare clinical characteristics between patients with neoplastic and non-neoplastic polyps. Factors statistically significant in the χ2 test were subsequently included in a binary logistic regression analysis. Results:Postoperative pathological examination revealed gallbladder cancer in 7 patients (0.41%). These 7 cases, including 2 with pT3 stage cancer, were not detected preoperatively by various imaging examinations (ultrasound+magnetic resonance cholangiopancreatography/MRI plain scan in 3 cases, ultrasound+enhanced MRI in 1 case, ultrasound+enhanced CT in 2 cases, enhanced CT+enhanced MRI in 1 case). Gallbladder adenoma was found in 23 cases (1.34%), neoplastic polyps (including cholesterol polyps with dysplasia) in 29 cases (1.69%), and non-neoplastic polyps in 154 cases (9.00%). Statistically significant differences were observed in age and polyp number between patients with neoplastic and non-neoplastic polyps ( χ2=10.436 and 8.030; both P<0.05). Binary logistic regression analysis identified age ≥60 years ( P=0.003) and solitary polyps ( P=0.009) as risk factors for neoplastic polyps. Mucosal dysplasia was present in 164 cases (9.58%), including 9 cases of severe dysplasia, 4 of which exhibited focal carcinomatous transformation. Gallbladder polyps combined with stones were found in 90 cases (5.26%), among which 10 were associated with adenoma and mucosal dysplasia, and 2 showed focal carcinomatous transformation. Conclusions:The incidence of incidental gallbladder carcinoma was 0.41%. Intraoperative bile spillage can severely compromise prognosis. Preoperative imaging demonstrates a low detection rate for neoplastic polyps. Particular vigilance for neoplastic polyps is warranted in patients aged ≥60 years or with solitary polyps. Cholecystectomy should be performed promptly for benign gallbladder diseases meeting surgical indications.

Objective To explore the application of plasma 7 microRNA (miR7) testing in the differential diagnosis of very early-stage hepatocellular carcinoma (HCC). Methods This study is a multicenter real-world study. Patients with single hepatic lesion (maximum diameter≤2 cm) who underwent plasma miR7 testing at Zhongshan Hospital, Fudan University, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Anhui Provincial Hospital, and Peking University People’s Hospital between January 2019 and December 2024 were retrospectively enrolled. Patients were divided into very early-stage HCC group and non-HCC group, and the clinical pathological characteristics of the two groups were compared. The value of plasma miR7 levels, alpha-fetoprotein (AFP), and des-gamma-carboxy prothrombin (DCP) in the differential diagnosis of very early-stage HCC was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). In patients with both negative AFP and DCP (AFP＜20 ng/mL, DCP＜40 mAU/mL), the diagnostic value of plasma miR7 for very early-stage HCC was analyzed. Results A total of 64 528 patients from 4 hospitals underwent miR7 testing, and 1 682 were finally included, of which 1 073 were diagnosed with very early-stage HCC and 609 were diagnosed with non-HCC. The positive rate of miR7 in HCC patients was significantly higher than that in non-HCC patients (67.9% vs 24.3%, P＜0.001). ROC curves showed that the AUCs for miR7, AFP, and DCP in distinguishing HCC patients from the non-HCC individuals were 0.718, 0.682, and 0.642, respectively. The sensitivities were 67.85%, 43.71%, and 44.45%, and the specificities were 75.70%, 92.78%, and 83.91%, respectively. The pairwise comparison of AUCs showed that the diagnostic efficacy of plasma miR7 detection was significantly better than that of AFP or DCP (P＜0.05). Although its specificity was slightly lower than AFP and DCP, the sensitivity was significantly higher. Among patients negative for both AFP and DCP, miR7 maintained an AUC of 0.728 for diagnosing very early-stage HCC, with 67.82% sensitivity and 77.73% specificity. Conclusions Plasma miR7 testing is a potential molecular marker with high sensitivity and specificity for the differential diagnosis of small hepatic nodules. In patients with very early-stage HCC lacking effective molecular markers (negative for both AFP and DCP), miR7 can serve as a novel and effective molecular marker to assist diagnosis.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

AIM: To investigate the correlation of serum interleukin-35(IL-35), immunoglobulin 4/immunoglobulin(IgG4/IgG), thyroid stimulating immunoglobulin(TSI)levels with the activity and severity of thyroid associated ophthalmopathy(TAO).METHODS:Prospective study. A total of 148 TAO patients admitted to our hospital from January 2023 to July 2024 were selected as the observation group. They were assigned into an active group(75 cases)and an inactive group(73 cases)based on their activity level, and were assigned into a severe group(95 cases)and a mild group(53 cases)based on the severity of their condition; another 148 healthy patients who underwent physical examinations were regarded as the control group. The levels of IL-35, IgG4/IgG, and TSI in serum were compared between the two groups. The correlation between serum IL-35, IgG4/IgG, and TSI levels and TAO activity and severity of illness were analyzed. A multivariate Logistic regression was performed to analyze the influencing factors of TAO patients developing severe symptoms. ROC curve was applied to analyze the diagnostic value of serum IL-35, IgG4/IgG, and TSI levels for the development of severe TAO in patients.RESULTS: Compared with the control group, the serum IL-35 level in the observation group was significantly lower, while IgG4/IgG and TSI levels were significantly higher(all P<0.01). Compared with non-active TAO patients, active TAO patients had significantly lower serum IL-35 level and significantly higher IgG4/IgG and TSI levels(all P<0.01). Compared with the mild TAO patients, severe TAO patients had significantly lower serum IL-35 level and significantly higher disease duration, IgG4/IgG, and TSI levels(all P<0.01). The serum IL-35 level was negatively correlated with TAO activity and disease severity(r=-0.529, -0.554, both P<0.01), while serum IgG4/IgG level was positively correlated with TAO activity and disease severity(r=0.625, 0.663, both P<0.01). Serum TSI levels were positively correlated with TAO activity and disease severity(r=0.594, 0.607, both P<0.01). Multivariate Logistic regression analysis showed that serum IL-35, IgG4/IgG, and TSI levels were all factors influencing the progression of TAO patients to severe disease(all P<0.01). The areas under the curve(AUC)for diagnosing the progression of TAO patients to severe disease using serum IL-35, IgG4/IgG, and TSI levels were 0.868, 0.859, and 0.830, respectively. The combined AUC for the three markers was 0.955, significantly higher than that of each individual marker(Zthree factors combination-IL-35=2.893, Zthree factors combination-IL-35=3.510, Zthree factors combination-IL-35=4.157, P=0.004, <0.01, <0.01).CONCLUSION: Serum IL-35 level is significantly downregulated in TAO patients, while IgG4/IgG and TSI levels are significantly upregulated. The levels of IL-35, IgG4/IgG, and TSI are correlated with the activity and severity of TAO, and their combination has high diagnostic value for TAO developing into severe.

Objective: To understand the epidemiological and etiological characteristics of food poisoning event occurred in a school in Hangzhou, Zhejiang, so as to provide reference for the scientific management of related emergencies. Methods: By determining the nature of the event through epidemiological investigation, a case control study was carried out to spot suspicious food in May 2024. The hygienic investigation was conducted to find out possible pollution links and factors, patients and canteen practitioners anal swab, canteen retention samples, catering link daub and other specimens were collected ,for rapid pathogen screening. And the suspected pathogen Clostridium perfringens (CP) were isolated and identified according to the screening results, and toxin gene detection and whole genome sequencing and cluster analysis of CP isolated strains were carried out. Results: The incident resulted in 45 people experiencing gastrointestinal symptoms, such as diarrhea and abdominal pain. The suspicious food was tomato scrambled eggs and corn ribs provided by the student canteen for lunch on May 29. A hygiene investigation found that there was a risk of contamination in the food processing, preparation and storage. A total of 46 anal swabs and 10 canteen retention samples were positive for CP 16 S, 59 strains of CP were isolated from 27 samples, 10 cases and 1 practitioner isolate were positive for CPE ( cpe ) (F mode), and their whole genome evolution analysis was conducted based on the same source. Conclusions The food poisoning event is caused by CP infection carrying CPE ( cpe ) (F mode), and the possible sources of outbreak are the carriers of the CP by employees. It is recommended that cafeteria staff strengthen training on common foodborne diseases and conduct regular monitoring of pathogens.

The circadian clock plays a critical role in regulating various physiological processes, including gene expression, metabolic regulation, immune response, and the sleep-wake cycle in living organisms. Post-translational modifications (PTMs) are crucial regulatory mechanisms to maintain the precise oscillation of the circadian clock. By modulating the stability, activity, cell localization and protein-protein interactions of core clock proteins, PTMs enable these proteins to respond dynamically to environmental and intracellular changes, thereby sustaining the periodic oscillations of the circadian clock. Different types of PTMs exert their effects through distincting molecular mechanisms, collectively ensuring the proper function of the circadian system. This review systematically summarized several major types of PTMs, including phosphorylation, acetylation, ubiquitination, SUMOylation and oxidative modification, and overviewed their roles in regulating the core clock proteins and the associated pathways, with the goals of providing a theoretical foundation for the deeper understanding of clock mechanisms and the treatment of diseases associated with circadian disruption.
Protein Processing, Post-Translational/physiology* ; Circadian Rhythm/physiology* ; Humans ; Animals ; CLOCK Proteins/physiology* ; Circadian Clocks/physiology* ; Phosphorylation ; Acetylation ; Ubiquitination ; Sumoylation

In this experiment, self-assembled nanoparticles(SANs) were prepared by the pH-driven method, and Her-HCP SAN was constructed by using herpetrione(Her) and Herpetospermum caudigerum polysaccharides(HCPs). The average particle size and polydispersity index(PDI) were used as evaluation indexes for process optimization, and the quality of the final formulation was evaluated in terms of particle size, PDI, Zeta potential, and microstructure. The proposed Her-HCP SAN showed a spheroid structure and uniform morphology, with an average particle size of(244.58±16.84) nm, a PDI of 0.147 1±0.014 8, and a Zeta potential of(-38.52±2.11) mV. Her-HCP SAN significantly increased the saturation solubility of Her by 2.69 times, with a cumulative release of 90.18% within eight hours. The results of in vivo unidirectional intestinal perfusion reveal that Her active pharmaceutical ingredient(API) is most effectively absorbed in the jejunum, where both K_a and P_(app) are significantly higher compared to the ileum(P<0.001). However, the addition of HCP leads to a significant reduction in the P_(app) of Her in the jejunum(P<0.05). Furthermore, the formation of the Her-HCP SAN results in a notably lower P_(app) in the jejunum compared to Her API alone(P<0.001), while both K_a and P_(app) in the ileum are significantly increased(P<0.001, P<0.05). The absorption of Her-HCP SAN at different concentrations in the ileum shows no significant differences, and the pH has no significant effect on the absorption of Her-HCP SAN in the ileum. The addition of the transporter protein inhibitors(indomethacin and rifampicin) significantly increases the absorption parameters K_a and P_(app) of Her-HCP SAN in the ileum(P<0.05,P<0.01), whereas the addition of verapamil has no significant effect on the intestinal absorption parameters of Her-HCP SAN, suggesting that Her may be a substrate for multidrug resistance-associated protein 2 and breast cancer resistance proteins but not a substrate of P-glycoprotein.
Nanoparticles/metabolism* ; Polysaccharides/pharmacokinetics* ; Intestinal Absorption/drug effects* ; Animals ; Rats ; Particle Size ; Drugs, Chinese Herbal/pharmacokinetics* ; Male ; Rats, Sprague-Dawley ; Drug Carriers/chemistry* ; Drug Compounding ; Cucurbitaceae/chemistry*

Based on the pharmacokinetics theory, this study investigated the pharmacokinetic characteristics of albiflorin, paeoniflorin, wogonoside, and wogonin in normal and febrile rats and summarized absorption and elimination rules of Dayuanyin in them to provide reference for further development and clinical application of Dayuanyin. Blood samples were taken from the fundus venous plexus of normal and model rats after intragastric administration of Dayuanyin at different time points. The concentration of each substance in blood was determined by ultra performance liquid chromatography-triple quadrupole mass spectrometry(UPLC-MS/MS) technique at different time points. DAS 2.0, a piece of pharmacokinetics software, was used to calculate the pharmacokinetic parameters of each component. The results show that the 4 components had good linear relationship in their respective ranges, and the results of methodological investigation met the requirements. The pharmacokinetic parameters of C_(max), T_(max), t_(1/2), AUC_(0-t), AUC_(0-∞), and MRT_(0-t) were calculated by the DAS 2.0 non-compartmental model. Compared with those in the normal group, C_(max) and AUC_(0-t) of the 4 components in the model group were significantly increased. There were significant differences in the pharmacokinetic characteristics between the normal and model groups, suggesting that the absorption and elimination of Dayuanyin may be affected by the changes of internal environment of the body in different physiological states.
Animals ; Rats ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Rats, Sprague-Dawley ; Fever/metabolism* ; Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Glucosides/pharmacokinetics* ; Monoterpenes