AIM To optimize the extraction process for total polyphenols from Conioselinum vaginatu(Spreng.)Thell.,make component analysis,and evaluate their anti-oxidant,hypoglycemic activities.METHODS The effects of ultrasound,enzymatic hydrolysis,acid hydrolysis,alcohol extraction and hydrolysis processes on the extraction quantity of total polyphenols were investigated,respectively.With extraction temperature,extraction time,ethanol concetration and liquid-solid ratio as influencing factors,extraction quantity of total polyphenols as an evaluation index,the extraction process was optimized by response surface method.HPLC was adopted in the identification of polyphenolic composition and determination of their contents.Subsequently,total polyphenols' scavenging capacities on DPPH,ABTS,OH free radicals,total reducing power and inhibitory capacity on α-glucosidase were determined.RESULTS The highest extraction quantity of total polyphenols was observable when extraction process was employed.The optimal conditions were determined to be 62 ℃ for extraction temperature,54 min for extraction time,69％for ethanol concentration,and 50∶1 for liquid-solid ratio,the extraction quantity of total polyphenols was(9.51±0.2)mg GAE/g.Seven constituents existed in C.vaginatu,among which ferulic acid demonstrated the highest content,followed by that of myricetin,while D-tryptophan content was the lowest.At the concentration of 7.61 mg/L,total polyphenols displayed the scavenging rates on DPPH,ABTS,OH free radicals of 80.70％,85.97％,28.60％,total reducing power of 0.22,and inhibition rate on α-glucosidase of 77.23％,respectively.CONCLUSION This stable and reliable method can be used for the extraction of total polyphenols from C.vaginatum with strong anti-oxidant,hypoglycemic activities.

This paper reported a case of fetal congenital chloride diarrhea (CCD) indicated by prenatal ultrasound and confirmed by whole-exome sequencing. At 26 weeks and two days of gestation, a routine prenatal ultrasound revealed fetal bowel dilation and numerous floating echogenic particles in the amniotic fluid, suggesting the possibility of CCD. Multiple follow-up ultrasounds in late pregnancy showed persistent bowel dilation, polyhydramnios with numerous floating echogenic particles, and fetal development larger than the gestational age. Whole-exome sequencing and Sanger validation revealed two compound heterozygous mutations in the fetal SLC26A3 gene: c.2006C>A (p.S669*) inherited from the mother and c.1355T>A (p.L452Q) inherited from the father, leading to a diagnosis of CCD. Postnatally, the infant exhibited persistent watery diarrhea. Based on prenatal ultrasound and diagnostic results, the infant was immediately given intravenous and oral electrolyte supplementation after birth, preventing severe electrolyte imbalance. As of June 2024, the infant was five months old, with follow-up showing good growth and development.

Objective:To explore the safety of laparoscopic modified transcystic biliary drainage(modified C-tube technique)in the treatment of biliary stones and application of diagnosing biliary disease.Methods:A retrospective analysis was conducted on the clinical data of 68 cases of biliary stones successfully treated with laparoscopic modified C-tube technique from August 2021 to December 2023.The safety,effectiveness,and area of applications were analyzed.The reliability of the principle of the modified fixation method was verified by using an ex vivo gallbladder.Results:Three cases of ex vivo gallbladder demonstrated that the strength of the modified fixation method was reliable,and the sinus tract formed by suture after immediate extraction of the C tube could be dislocated and closed,resisting the bile outflow caused by the weight of the gallbladder.Among the 68 patients,42 were difficult biliary stones,6 were suspected common bile duct stones,and 5 were extrahepatic bile duct stones combined with intrahepatic bile duct stones.Among them,48 cases underwent choledochoscopy assisted trans-choledochal approach for stone removal,and 10 cases underwent transcystic approach stone removal,Six patients underwent simply basket exploration and removal of stones through the cystic duct(5 patients had no residual stones on postoperative C-tube angiography,1 patient had suspected residual stones,and the patient refused further examination and treatment for no symptom),and 4 patients only underwent biliary drainage through the cystic duct;two patients with retained stone passed after the use of topical nitrate drip infusion via C-tube,seven cases underwent endoscopic retrograde cholangiopancreatography(ERCP),stone removal with the assistance of a C-tube after laparoscopic surgery,and the results were uneventful.The mean surgical time was(131±44)min(76-279 min),the maximum daily drainage volume of the C-tube was(401±235)mL/d(10-1 150 mL/d),the hospital stay was(8.6±3.6)d(2-19 d),and the mean time of C-tube removal was(11±6.9)d(5-46 d).There were 14 overall complications,including 2 residual stones,and 12 C-tube related complications,comprising of 1 gradeⅢ a,2 grade Ⅱ,and 9 grade Ⅰ.There were 9 cases of C-tube related adverse events that did not cause complications,including 3 of early detachment,2 of displacement,and 4 of deep insertion.The median follow-up time after surgery was 21(2-30)months,and 5 patients had recurrent stones.Among them,4 patients had slow contrast outflow during cholangiogram,and 1 patient had obvious pancreaticobiliary reflux.55 patients underwent C-tube amylase measurement,and 9 cases showed a significant increase in bile amylase(349-44 936 U/L),suggesting the presence of pancreaticobiliary reflux.Conclusion:Laparoscopic modified C-tube technique can be effectively used in the treatment of biliary stones,which is relatively safe and can be attempted in the diagnosis of biliary diseases.

Diabetic kidney disease(DKD)is one of the common microvascular complications of diabetes mellitus,and it has become the main cause of chronic kidney disease and end stage renal disease.Traditional Chinese medicine can delay the progress of DKD by inhibiting oxidative stress,improving renal tissue damage,restoring renal function.This paper will summarize the relationship between oxidative stress and DKD and the prevention and treatment of DKD by traditional Chinese medicine,so as to provide reference for clinical drug application,basic research and new drug research and development of DKD.

Objective To investigate the mammographic imaging features of breast cancer and its correlation with microvascular density(MVD).Methods A total of 86 patients with breast cancer confirmed by surgical pathology in Xinjiang Production and Construction Corps 7th Division Hospital from January 2019 to December 2022 were selected as the research objects.According to the modified Bloom Richard-son scoring system,the breast cancer patients were classified into histological grade Ⅰ(n=22),grade Ⅱ(n=25)and grade Ⅲ(n=39).All patients underwent preoperative mammographic imaging examination.Immunohistochemistry staining was performed and MVD count was conducted after operation.Spearman rank correlation was used to analyze the correlation between MVD of breast cancer with different histo-logical grades and mammographic imaging features.Results The microvascular positive expression rate of breast cancer lesions was 100%,the MVD counts per visual field were 14～276 vessels,with an average of(72.58±16.37)vessels,of which the MVD counts of patients with histological grade Ⅰ to Ⅱ were 14 to 175 vessels,with an average of(42.10±13.51)vessels;the MVD counts of patients with histological grade Ⅲ was 22～276 vessels,with an average of(93.82±22.17)vessels.The MVD counts of patients with histological grade Ⅲ was signifi-cantly higher than that of patients with histological grade Ⅰ to Ⅱ,with statistically significant difference(t=19.627,P<0.001).The incidences of irregular margin,spicular sign,axillary lymph node metastasis and fine particle calcification in patients with histological gradeⅢ were higher than those in patients with histological grade Ⅰ to Ⅱ,with statistically significant difference(P<0.05).The MVD counts of breast cancer patients with irregular margin,spicular sign,axillary lymph node metastasis and fine particle calcification were higher than those of patients with smooth margin and without spicular sign,axillary lymph node metastasis or fine particle calcification,which was positively correlated with histological grades(P<0.05).Conclusion Some mammographic imaging features of breast cancer can reflect tumor angiogenesis to a certain extent,which can provide important reference for the treatment and prognosis of the disease,with certain clinical value.

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.

Objective:To investigate the influence of the complexity metrics of the multi-leaf collimator (MLC) on the γ-pass rate of volumetric modulated arc therapy (VMAT) plans for nasopharyngeal carcinoma (NPC).Methods:A total of 60 VMAT plans for NPC were selected to measure the γ-pass rate. The MLC data across all control points (CPs) in each VMAT plan were analyzed to calculate the mean field area (MFA), average leaf gap (ALG), small aperture score (SAS), and their corresponding weighted metrics including MFAW, ALGW, and SASW, considering dose weight (W). Pearson′s bivariate correlation analysis was conducted to examine the correlations between MLC complexity metrics and the γ-pass rate. Moreover, the receiver operating characteristic (ROC) analysis was employed to assess the predictive efficacy of MLC complexity metrics on dose verification result.Results:Under the 3%/3 mm, 3%/2 mm, and 2%/2 mm criteria, the MFA in the 60 VMAT plans exhibited a positive correlation with the γ-pass rate ( r=0.82, 0.79, 0.72, P<0.05), and the MFAW was also positively correlated with the γ-pass rate ( r=0.83, 0.81, 0.75, P<0.05). The ALG manifested a positive correlation with the γ-pass rate ( r=0.82, 0.79, 0.74, P<0.05), as did the ALGW ( r=0.83, 0.81, 0.77, P<0.05). The SAS(0-1 cm), SAS(1-2 cm), SAS(2-3 cm), and SAS(3-4 cm) displayed negative correlations with the γ-pass rate ( r= -0.86, -0.82, -0.71, -0.84, -0.82, -0.72, -0.79, -0.79, -0.73, -0.30, -0.35, -0.42, P<0.05), whereas the SAS(4-5 cm), SAS(5-6 cm), and SAS(6-40 cm) showed positive correlations with the γ-pass rate ( r=0.49, 0.45, 0.33, 0.73, 0.71, 0.59, 0.79, 0.79, 0.76, P<0.05). The outcomes of SASW reveal slightly stronger correlations than those of SAS. In terms of correlations among complexity metrics, a positive correlation was observed between MFA and ALG ( r=0.98, P<0.05). ALG was negatively correlated with SAS(0-1 cm), SAS(1-2 cm), SAS(2-3 cm), and SAS(3-4 cm) ( r= -0.95, -0.94, -0.89, -0.39, P<0.05), and positively correlated with SAS(4-5 cm), SAS(5-6 cm), and SAS(6-40 cm) ( r=0.51, 0.77, 0.92, P<0.05). The weighted result mirrored these correlations. The ROC-derived analytical result indicate that MFA, MFAW, ALG, ALGW, SAS(0-1 cm), SAS(1-2 cm), SAS(2-3 cm), SAS(6-40 cm), SASW(0-1 cm), SASW(1-2 cm), SASW(2-3 cm), and SASW(6-40 cm) demonstrated exceptional predictive efficacy for dose verification result [Area under the curve (AUC) > 0.9, P<0.05]. Conclusions:The γ-pass rate of VMAT plans for NPC is strongly correlated with MLC complexity metrics, which demonstrate excellent predictive efficacy for dose verification result. The increased uncertainty in dose calculations and measurements caused by narrow fields generated by the MLC is a significant factor contributing to the reduced γ-pass rate of VMAT plans. This finding is associated with discrepancies in the precision of treatment planning system (TPS) modeling and the accuracy of dose verification tools, providing a reference for similar challenges.

Objective:To investigate the differences in dosimetric parameters for target volumes and organs at risk (OARs), radiation doses to reconstructed tissues, and beam-on time in radiotherapy among helical tomotherapy (HT), volumetric modulated arc therapy (VMAT), and fixed-field intensity-modulated radiotherapy (F_IMRT) following immediate breast reconstruction for breast cancer, thereby providing a reference for the selection of clinical radiotherapy techniques.Methods:This study retrospectively investigated 15 breast cancer patients who underwent radiotherapy following modified radical mastectomy and immediate breast reconstruction at the Liuzhou Worker′s Hospital from August 2018 to July 2023. During target volume delineation, precautions were taken to avoid the reconstructed tissues, which were delineated separately. Customized HT, VMAT, and F_IMRT treatment plans were designed for each patient. The plans were categorized into the HT, VMAT, and F_IMRT groups based on different radiotherapy techniques employed. They were comparatively analyzed through one-way analysis of variance (ANOVA), with multiple comparisons further conducted in the case of significant differences.Results:Statistical analyses reveal significant differences in various parameters of target volumes among the three groups of plans ( F = 38.73, 14.95, 37.01, 48.05, 35.55, 22.56, 34.30, P < 0.05). Pairwise comparisons indicate that the maximum dose ( D2%), minimum dose ( D98%), mean dose ( Dmean), and the proportion of high-dose volumes within the target volume ( V107%and V110%) in both the HT and VMAT groups were significantly better than those in the F_IMRT group. The HT group demonstrated the optimal conformity index (CI), while the VMAT group displayed the superior homogeneity index (HI) compared to the other two groups. In terms of OAR, the V20 of the ipsilateral lung was the lowest in the HT group ( F = 14.31, P < 0.05) and the highest in the F_IMRT group ( F = 14.31, P < 0.05). However, the V5 and Dmean for both the ipsilateral and contralateral lungs in the HT group significantly surpassed those of the other groups ( F = 39.16, 31.91, P < 0.05). The mean dose Dmean ( F = 5.57, P < 0.05) of the contralateral breast was significantly reduced in the VMAT group compared to the other two groups. No statistically significant differences were observed for other OARs, including the heart, spinal cord PRV, thyroid, and humeral head ( P > 0.05). The radiation doses to reconstructed tissues ( Dmax, V53.5, Dmean) ascended in the order of HT, VMAT, and F_IMRT groups ( F = 17.69, 17.53, 15.11, P < 0.05). The HT and F_IMRT groups showed similar beam-on times ( P > 0.05), both exceeding that of the VMAT group by several folds ( F = 28.72, P < 0.05). Conclusions:The comparative analysis indicates that the three radiotherapy techniques exhibit distinct advantages and limitations, with F_IMRT demonstrating the least comprehensive advantage. HT can enhance the conformity of target volumes while reducing the overall radiation doses to reconstructed tissues and the crucial indicator V20 in the ipsilateral lung. VMAT demonstrates the highest treatment efficiency, yielding improved dose uniformity in the target volume and reduced radiation doses to the contralateral breast. It is advisable to prioritize HT or VMAT based on actual clinical conditions.

Objective To analyze the gene expression characteristics of chronic rhinosinusitis with nasal polyps(CRSwNP)using bioinformatics methods,aim to investigate the potential biomarkers and their diagnostic value of CRSwNP.Methods(1)The CRSwNP Gene expression data set was downloaded from the American Gene Expression Omnibus(GEO)database.The differentially expressed genes(DEGs)between CRSwNP patients and healthy controls were screened through data analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis were performed on the identified DEGs.Protein-protein interaction(PPI)networks were constructed utilizing the STRING database,and the key genes were identified by using the cytoHubba plugin.The"Cibersort"package was used to analyze the influence of key genes on common immune cells.(2)Thirty-two patients diagnosed with CRSwNP in the First Affiliated Hospital of Hebei North University from June 2022 to June 2023 were selected as the CRSwNP group,and 21 patients with simple deviation of nasal septum without a history of sinusitis during the same period were selected as control group.The pathological characteristics of specimens in the two groups were examined using hematoxylin-eosin(HE)staining.Immunohistochemistry and Western blotting were used to detect the expression levels of key genes in CRSwNP.The levels of key proteins in plasma were detected using ELISA,and ROC curve was used to analyze its efficacy in diagnosing CRSwNP.Results(1)Analysis of three gene expression database sets(GSE36830,GSE23552,and GSE194282)showed that there were 156 DEGs in CRSwNP.GO functional enrichment and KEGG pathway analysis indicated that the functions of the above DEGs were mostly related to immune functions.Key genes such as cytochrome b-245 β chain(CYBB)and colony-stimulating factor 1 receptor(CSF1R)were identified.(2)The results of HE staining revealed that the epithelial of CRSwNP tissue was metaplastic into stratified squamous epithelium with interstitial edema.Both immunohistochemistry and Western blotting analyses indicated that the expression levels of CYBB and CSF1R in the CRSwNP group were significantly increased compared to control group(P＜0.05).ELISA results demonstrated that CYBB[(21.20±3.00)μg/ml vs.(17.66±1.66)μg/ml,P＜0.05]and CSF1[(477.37±86.63)pg/ml vs.(370.71±66.24)pg/ml,P＜0.05]in CRSwNP group were significantly increased compare to control group.ROC curve analysis showed that plasma concentrations of CYBB and CSF1 had AUCs of 0.888(95%CI 0.802-0.974)and 0.821(95%CI 0.711-0.931)for diagnosing of CRSwNP,respectively;their combined AUC was 0.927(95%CI 0.851-1.000).Conclusions CYBB and CSF1R may be involved in the occurrence and development of CRSwNP.Plasma CYBB and CSF1 have high diagnostic value for CRSwNP.

Risks of food safety induced by small molecule drug residues in animal food and environment have become an increasing public concern,so it is necessary to develop highly sensitive and easy-to-operate techniques to detect small molecules.Herein,a metasurface plasma resonance(MetaSPR)sensor chip coupled with gold nanoparticles(AuNPs)was developed for detection of enrofloxacin(ENR)based on competitive immunoassay.The detection range of the sensor for ENR was 0.025-3.2 ng/mL,and the detection limit(3σ)was 20 pg/mL.The biosensor showed excellent performance including high selectivity,good stability,ease to operate and high throughput,etc.The developed method was applied to detection of ENR residues in real samples,with recoveies of 96.0% -105.0%.The proposed sensing strategy provided new technique reference for detection of other small molecules in the field of residue analysis in food safety and environment monitoring.