Objective To explore the clinical factors influencing complete response in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (nCRT). Methods Clinical data of LARC patients treated in the Department of Radiation Oncology at Beijing Shijitan Hospital between January 2013 and December 2024 were retrospectively collected. All patients received nCRT, after which surgery or a watch-and-wait approach was adopted based on treatment response. Univariable and multivariable logistic regression analyses were performed to identify prognostic factors influencing complete response. A clinical prediction model was constructed based on the multivariable analysis results, and its predictive performance was evaluated using the receiver operating characteristic curve. Results A total of 113 eligible patients were included. After nCRT, 19 patients (16.8%) achieved complete response, including 3 with clinical complete response and 16 with pathological complete response. Univariable analysis indicated that pretreatment clinical N stage, extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen were associated with complete response after nCRT (P<0.05). Multivariable logistic regression analysis identified pretreatment extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen as independent influencing factors for complete response (P<0.05). A prediction model incorporating these independent factors yielded an area under the receiver operating characteristic curve of 0.813 (95% confidence interval: 0.713-0.913), with a sensitivity of 89.5% and a specificity of 60.6%, demonstrating good predictive performance. Conclusion Pretreatment extramural venous invasion, carcinoembryonic antigen level, and neoadjuvant treatment regimen are independent factors influencing complete response after nCRT in LARC patients. The prediction model combining these factors may assist in evaluating treatment efficacy following nCRT in LARC patients.

Work-related musculoskeletal disorders (WMSDs) represent a significant occupational health challenge among healthcare professionals globally, posing substantial threats to physical and mental well-being as well as work sustainability. Adopting preventive behaviors—including ergonomic postural adjustments, optimized work-rest scheduling, proper use of protective and assistive equipment, and regular physical activity—is essential for mitigating the risk of WMSDs. Guided by the social ecological model, the review synthesized current evidence on the determinants of WMSDs preventive behaviors across four levels: intrapersonal characteristics, work environment conditions, interpersonal support, and policy/institutional factors. The findings suggest that higher educational attainment, favorable health-related behavioral patterns, optimized ergonomic work environments, adoption of supportive collaborative systems, strong organizational support, as well as policy safeguards facilitate preventive behavior adoption. Conversely, limited prevention-related knowledge, low risk perception, insufficient physical activity, excessive workload, lack of appropriate protective equipment, inadequate ergonomic training, a prevailing culture of presenteeism, and inadequate policy implementation constitute significant barriers. Multi-dimensional intervention strategies targeting these determinants are warranted to enhance preventive behaviors, reduce the risk of WMSDs, and strengthen occupational health protection for healthcare professionals.

OBJECTIVE To investigate the improvement effect and mechanism of processed Oxytropis falcata on renal fibrosis （RF） in rats. METHODS RF model was induced by adenine. After modeling， the rats were divided into the model group， positive control group （colchicine， 0.45 mg/kg）， and processed O. falcata low-， medium- and high-dose groups （0.5， 1， 2 g/kg）， respectively. Additionally， a blank group without modeling was set up， with 8 rats in each group. The positive control group and the various dosage groups of processed O. falcata were given the corresponding medicinal solutions intragastrically， while the blank group and model group were given equal volume of normal saline intragastrically， once daily for 28 consecutive days. The appearance and histopathological morphology of the rats’ kidneys were observed. Serum levels of renal function indexes [bl ood urea nitrogen （BUN）， creatinine （Cr） ] and inflammatory factors [interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） ] in rats were detected. Protein expressions of fibronectin （FN）， α -smooth muscle actin （ α -SMA） and collagen type Ⅰ （Col-Ⅰ） in renal tissue of rats were determined. mRNA expressions of transforming growth factor-β 1 （TGF-β 1 ）， Smad3 and extracellular signal-regulated kinase 1/2 （ERK1/2） in renal tissues were measured. Protein expression of TGF-β 1 and phosphorylation levels of Smad3 and ERK1/2 in renal tissues were detected. RESULTS Compared with the blank group， the rats in the model group exhibited enlarged kidneys with pale color， rough and uneven surface. There was a significant infiltration of inflammatory cells and vacuolated cells in the renal tubules， along with marked proliferation of collagen fibers. Serum levels of BUN， Cr， IL-6 and TNF-α， protein expressions of α -SMA， Col-Ⅰ and FN in renal tissues， mRNA expressions of TGF-β 1 ， Smad3， ERK1 and ERK2 and protein expression of TGF-β 1 as well as phosphorylation levels of Smad3 and ERK1/2 in renal tissues were increased significantly （ P ＜0.05）. Compared with the model group， renal pathological changes of rats were alleviated in processed O. falcata groups， with reduced infiltration of inflammatory cells and proliferation of collagen fibers. The levels of the aforementioned quantitative indicators were all significantly reversed （ P ＜0.05）. CONCLUSIONS Processed O. falcata can improve renal function in RF rats， alleviate inflammatory responses， and reduce abnormal collagen fiber deposition. Its mechanism of action may be related to the inhibition of the activity of the TGF-β 1 /Smad signaling pathway.

Objective To construct and validate a nomogram-based prediction model of vascular plaque stability in patients with progressive cerebral infarction based on serum monocyte chemotactic protein-1(MCP-1),monocyte chemotactic protein-1 inducible protein 1(MCPIP1)combined with inflammatory factors.Methods A retrospective cohort study was conducted on 200 patients with progressive cerebral infarction admitted to our department from January to December 2023.All of them were assigned into a modeling group,and were divided into a stable plaque subgroup and the unstable plaque subgroup according to results of carotid multilayer spiral CT angiography.Their general data,results of laboratory tests,and other clinical indicators were collected to identify the influencing factors for vascular plaque instability with single-factor and multifactor analyses.Then a nomogram model for predicting vascular plaque stability was constructed for patients with progressive cerebral infarction.Receiver operating characteristics(ROC)curve was plotted to evaluate the predictive performance of the nomogram model.Subsequently,in a ratio of 7∶3 between the cases in the modeling group and the validation group,another 86 patients with progressive cerebral infarction admitted to our department from January to June 2024 were enrolled and served as the validation group.Their clinical data were collected for external validation of the model.Results In the modeling group,there were 68 patients(34.00％)in the stable plaque subgroup and 132 patients(66.00％)in the unstable plaque subgroup.Univariate analysis showed that there were significant differences between the 2 subgroups in terms of age(65.31±6.74 vs 67.52±7.14 years,t=2.113),comorbid diabetes mellitus[35(48.53％)vs 80(60.61％)cases,Chi-square=7.182],MCP-1(570.67±104.23 vs 693.94±128.45 pg/mL,t=6.836),MCPIP1(2.93±0.58 vs 4.08±0.75 ng/mL,t=11.051),homocysteine(Hcy,10.56±2.38 vs 16.04±3.54 μmol/L,t=11.491),C-reactive protein(CRP,6.16±2.03 vs 8.05±2.67 mg/L,t=5.122)and TNF-α(1.31±0.29 vs 1.79±0.47 ng/mL,t=7.696)(all P＜0.05).Multivariate analysis indicated that age(β=0.103,OR=1.109,95％CI=1.012～1.215),comorbid diabetes(β=2.135,OR=8.461,95％CI=1.866～38.353),Hcy(β=0.706,OR=2.026,95％CI=1.550～2.650),MCP-1(β=0.011,OR=1.011,95％CI=1.004～1.018),MCPIP1(β=1.928,OR=6.875,95％CI=2.765～17.094),CRP(β=0.327,OR=1.387,95％CI=1.022～1.883)and TNF-α(β=1.491,OR=4.443,95％CI=1.389～14.212)were independent influencing factors for vascular plaque instability in the patients with progressive cerebral infarction(all P＜0.05).The modeling formula based on these factors was Logit(P)=0.103×(age)+2.135×(combined diabetes)+0.706×(Hcy)+0.01 1×(MCP-1)+1.928×(MCPIP1)+0.327×(CRP)+1.491×(TNF-α)-34.684.ROC curve analysis revealed that the area under curve(AUC)of the model in the modeling group was 0.956(95％CI:0.931～0.981,P＜0.001),with a sensitivity of 0.841 and a specificity of 0.926,and the AUC value in validation group was 0.960(95％CI=0.925～0.996,P＜0.001).Conclusion Our nomogram prediction model has a good predictive performance for vascular plaque instability in patients with progressive stroke,and it can be used to identify high-risk patients for vascular plaque instability in clinical practice.

OBJECTIVE To investigate the expression characteristics and regulatory mechanisms of the circadian clock gene period circadian regulator 1(PER1)and the tumor suppressor gene serine peptidase inhibitor Kazal type 5(SPINK5)in head and neck squamous cell carcinoma(HNSCC),and to elucidate the molecular mechanism by which PER1 regulates SPINK5 transcription via the NF-κB signaling pathway.METHODS Differentially expressed genes in HNSCC were screened using The Cancer Genome Atlas(TCGA)and GSE205155 datasets.The association between SPINK5 expression and patient prognosis was assessed via the GEPIA database.mRNA and protein expression levels of SPINK5 and PER1 in 60 clinical samples were detected by RT-qPCR,immunohistochemistry,and Western blot.PER1 knockdown(using siRNA)and overexpression(via plasmid transfection)were performed in the AMC-HN-8 cell line.Wound healing and colony formation assays were applied to evaluate the effects of PER1,SPINK5,and their interaction on HNSCC cell migration and proliferation.Western blot was utilized to examine the regulatory effect of NF-κB on SPINK5.RESULTS SPINK5 and PER1 were significantly downregulated in HNSCC tissues(all P<0.01),and their low expression was correlated with poor patient prognosis(for SPINK5,HR=0.69,P=0.006 7).A significant positive correlation was observed between PER1 and SPINK5 expression(R2=0.719 2,P=0.001 0).Knockdown and overexpression of PER1 respectively resulted in synchronous alterations in SPINK5 mRNA levels(all P<0.05).PER1 knockdown enhanced cell migration and proliferation(P<0.05),whereas SPINK5 overexpression suppressed these capabilities(P<0.01).Importantly,SPINK5 overexpression reversed the phenotypic changes induced by PER1 knockdown.Mechanistically,PER1 overexpression led to concomitant changes in NF-κB expression,activating the NF-κB pathway and thereby promoting SPINK5 transcription.CONCLUSION PER1 positively regulates SPINK5 transcription via the NF-κB pathway,inhibiting HNSCC cell proliferation and migration.These findings suggest that PER1 and SPINK5 may serve as potential therapeutic targets for HNSCC.

Liquiritigenin(LG)is a flavone of pharmacological importance,however,its application potential is severely limited due to its poor water solubility.LG could be disassociated slightly in water to form phenolate anion,therefore,better solubilization effect is expected by inclusion with cationic cyclodextrins(CCDs).In this work,four kinds of CCDs modified with amino groups at the primary face were synthesized,and their solid inclusion complexes with LG were successfully prepared by preparing their saturated solutions.The formation of the solid inclusion complexes was confirmed by scanning electron microscopy(SEM)and powder X-ray diffraction(PXRD),and their supramolecular binding behavior in solution was studied using multiple techniques.A 1∶1 inclusion stoichiometry of inclusion complexation was defined using Job plot by ultraviolet-visible(UV-vis)spectroscopy,and their binding stability constants(Ks)were determined as 2862.77,3494.70,6521.85 and 9599.48 L/mol using UV-vis spectroscopic titration,far more superior to that of nativeβ-CD(Ks=236.79 L/mol).This indicated that the amino side chains on CCDs could actively participate in the inclusion complexation through anion-cation interactions,significantly strengthening the host-guest binding between CCDs and LG.The inclusion modes were further elucidated based on proton and two-dimensional rotating-frame overhauser enhancement spectroscopy(2D-ROESY)nuclear magnetic resonance(NMR)experiments and molecular docking.Water solubility of LG was dramatically promoted up to 4.9 mg/mL,which was 70-fold higher than that of native LG.This study could draw inspiration for the binding and solubilization of phenols such as flavones by design of cationic macrocyclic molecules.

C-Reactive protein(CRP)is an important acute-phase response protein,which is widely used in the assessment of inflammation and cardiovascular disease risk,and acts as a pathogenic factor directly involved in the disease process of certain conditions.Therefore,developing immunosuppressants targeting CRP or investigating its pathogenic mechanisms is of significant importance.Most B-cell epitopes are conformational epitopes,and studying conformational epitopes is typically challenging.To date,no methods have been reported for mapping the conformational epitopes of CRP in solution.In this study,a rapid strategy was developed for studying conformational epitopes by combining hydrogen/deuterium exchange mass spectrometry(HDX-MS)with multiparametric prediction of B-cell epitopes and protein secondary structure analysis.This approach was successfully applied to the binding sites and allosteric targets of the 115 kDa full pentameric CRP and the clinically used monoclonal antibody(mAb)5A8.The results showed that the amino acid residues 84-103,138-146,and 165-173 together form the potential conformational epitopes for mAb 5A8 on CRP,while the amino acid residues 21-32 and 175-178 were identified as potential allosteric targets.The discovery of the mAb 5A8 binding sites and allosteric targets was crucial for improving clinical diagnostic capabilities.Experimental results demonstrated that this workflow allowed rapid conformational epitope mapping of CRP under near-physiological conditions,with advantages such as high speed,high sensitivity,and high throughput.

Chrysophanol(Chr)and physcion(Phy)are primary active ingredients of a well-known traditional Chinese medicine namely rhubarb(Chinese name:Dahuang),and their glucuronides have been revealed as the dominant forms presenting in rats after oral administration.Either Chr or Phy has two glycosylation sites,resulting in a pair of positional isomers for glucuronides of either compound(CG1&CG2 and PG1&PG2).To confirmatively identify these glucuronides,energy-resolved mass spectrometry(ER-MS)was used to pursue the fragmentation trajectories of the targeted fragment ions,and the resultant breakdown graphs that were described by the optimal collision energy(OCE)were expected to exhibit the differences of glycosidic bond cleavage between the isomers.Quantum chemical calculation was thereafter conducted to produce the bond dissociation energy(BDE)of the glycosidic bonds.The isomers were unambiguously identified through applying the positive correlation rule between OCE and BDE.Fortunately,the glucuronides of Chr and Phy in vivo were observed through liver microsomes incubationin vitro.ER-MS was utilized to collect the Gaussian-shaped breakdown graphs in response to the neutral loss of 176 Da,and the absolute values of OCE were compared between positional isomers.The results revealed that CG1(-32.31 eV)>CG2(-31.61 eV),and nonetheless,PG1(-30.00 eV)Chr-8-GluA(-48.787 kJ/mol),and nonetheless,Phy-1-GluA(-48.672 kJ/mol)

The traditional detection methods for monitoring the biomass,protein,chlorophyll content and other key indicators in the growth of chlorella have some problems,including complicated operation,slow detection speed and difficult large-scale application.In this study,a fast and efficient monitoring method for the key indicators in the growth of chlorella was established using near infrared spectroscopy and chemometrics.Near-infrared spectroscopy was used to collect near-infrared spectra of chlorella algal fluid at different growth stages,and standard methods were used to detect the biomass,protein and chlorophyll contents of corresponding samples.A quantitative analysis model was established based on partial least squares regression(PLSR).To improve the prediction ability of the model,multiplicative scatter correction(MSC)was used to reduce the interference of scattering on the raw spectrum(RS),standard normal variate(SNV)was used to normalize the original spectral data to eliminate differences between samples,continuous wavelet transform(CWT)was used to obtain the key features of spectral data,the first derivative(1st)was used to enhance the differentiation of the original spectral features,and monte carlo-uninformative variable elimination(MC-UVE)and randomization test(RT)were used to screen the valid variables in the wavelength.By evaluating the prediction ability of different models,the quantitative analysis models of chlorella biomass,protein and chlorophyll content were finally determined.The results showed that the model based on 1st combined with RT spectra had better predictive ability for chlorella nutrient content detection,and the root mean square errors of prediction(RMSEP)and coefficients of determination(R2)were 0.041 and 0.933 for biomass,0.012 and 0.973 for protein,and 0.517 and 0.962 for chlorophyll,respectively.This model showed practical application value,and could realize the rapid and accurate detection of chlorella biomass,protein and chlorophyll content at the same time.

As a serine protease,thrombin can convert soluble fibrinogen into insoluble fibrin and plays a pivotal role in the coagulation cascade.Therefore,the accurate quantitative assay of thrombin levels is of great value in the evaluation of coagulation function,clinical screening and prognostic monitoring of coagulation-related diseases,and screening of drugs for targeted therapy.Existing methods for thrombin detection can be divided into two categories,e.g.,the assay of concentration levels using nucleic acid aptamers as the affinity elements and the assay of activity levels based on the hydrolytic cleavage of substrate peptides.In recent years,electrochemical biosensors have attracted much attention in thrombin detection due to high sensitivity,high selectivity,simple instrument,fast response,and good portability.In this review,the latest research progress in methods for electrochemical detection of thrombin was summarized,focusing on the detection principles and the applied signal amplification strategies of related electrochemical biosensors.In addition,the challenges with respect to the practical use of electrochemical thrombin biosensors and the prospects were discussed.