Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.

Objective:To investigate the molecular mechanisms of chronic rhinosinusitis (CRS), to identify key cell subgroups and genes, to construct effective diagnostic models, and to screen for potential therapeutic drugs.Methods:Key cell subgroups in CRS were identified through single-cell transcriptomic sequencing data. Essential genes associated with CRS were selected and diagnostic models were constructed by hdWGCNA (high dimensional weighted gene co-expression network analysis) and various machine learning algorithms. Causal inference analysis was performed using Mendelian randomization and colocalization analysis. Potential therapeutic drugs were identified using molecular docking technology, and the results of bioinformatics analysis were validated by immunofluorescence staining. Graphpad Prism, R, Python, and Adobe Illustrator software were used for data and image processing.Results:An increased proportion of basal and suprabasal cells was observed in CRS, especially in eosinophilic CRS with nasal polyps (ECRSwNP), with P=0.001. hdWGCNA revealed that the "yellow module" was closely related to basal and suprabasal cells in CRS. Univariate logistic regression and LASSO algorithm selected 13 key genes ( CTSC, LAMB3, CYP2S1, TRPV4, ARHGAP21, PTHLH, CDH26, MRPS6, TENM4, FAM110C, NCKAP5, SAMD3, and PTCHD4). Based on these 13 genes, an effective CRS diagnostic model was developed using various machine learning algorithms (AUC=0.958). Mendelian randomization analysis indicated a causal relationship between CTSC and CRS (inverse variance weighted: OR=1.06, P=0.006), and colocalization analysis confirmed shared genetic variants between CTSC and CRS (PPH4/PPH3>2). Molecular docking results showed that acetaminophen binded well with CTSC (binding energy:-5.638 kcal/mol). Immunofluorescence staining experiments indicated an increase in CTSC +cells in CRS. Conclusion:This study integrates various bioinformatics methods to identify key cell types and genes in CRS, constructs an effective diagnostic model, underscores the critical role of the CTSC gene in CRS pathogenesis, and provides new targets for the treatment of CRS.

The clinical practice guidelines of traditional Chinese medicine （TCM） have problems such as limited clinical application and unclear implementation effects， which may be related to the lack of clinical practice evidence. To provide reliable and precise evidence for clinical practice， this article proposes a model of combining TCM guidelines with real-world study， which includes 4 steps. Firstly， during the implementation process of the guidelines， a high-quality research database is established. Secondly， the recommendations in the guidelines are evaluated based on the established database in multiple dimensions， including applicability， effectiveness， safety， and cost-effectiveness， and thus their effectiveness in practical applications can be determined. Thirdly， based on the established database， core prescriptions are identified， and the targeted populations and medication plans are determined. That is， the best treatment regimen is established based on the analysis of abundant clinical data regarding the effects of different medication frequencies， dosages， and duration on efficacy. Fourthly， the guidelines are updated according to the real-world evidence. The research based on this model can provide real-world evidence for ancient and empirical prescriptions， improving their application in clinical practice. Moreover， this model can reduce research costs and improve research efficiency. When applying this model， researchers need to pay attention to the quality of real-world evidence， ensuring that it can truly reflect the situation in clinical practice. In addition， importance should be attached to the clinical application of guideline recommendations， ensuring that doctors can conduct standardized diagnosis and treatment according to the guidelines. Finally， full-process participation of multidisciplinary experts is encouraged to ensure the comprehensiveness and scientificity of the study. In conclusion， the application of this model will contribute to the development of TCM guidelines responsive to the needs of clinical practice and achieve the goal of promoting the homogenization of TCM clinical diagnosis and treatment.

OBJECTIVE To establish a determination method for the related substances of LPM3480392, a novel Gi protein-biased opioid receptor(MOR) agonist. METHODS The separation was carried out with Waters Symmetry Shield RP18 (150 mm×4.6 mm, 3.5 μm) by gradient elution method, using a mixture of 0.002 5 mol·L–1 sodium 1-octanesulfonate monohydrate in 0.01 mol·L–1 potassium dihydrogen phosphate-water solution(containing 0.1% triethylamine, adjusted pH to 2.50 with phosphate acid) and acetonitrile as the mobile phase at a flow rate of 1.0 mL·min–1 and the UV detection wavelength was set at 210 nm. RESULTS The chromatographic peaks of LPM3480392 and impurity A, impurity B, impurity C, impurity E and impurity F could be completely separated, the linear relationship of LPM3480392 was good in 0.064 9−5.191 2 μg·mL–1, while impurity A, impurity B, impurity C, impurity E and impurity F showed good linear relationship within 0.066 6−7.610 4 μg·mL–1, 0.166 0−3.794 0 μg·mL–1, 0.209 2−4.463 2 μg·mL–1, 0.167 9−7.672 6 μg·mL–1 and 0.016 4−7.505 7 μg·mL–1, respectively. The recovery rate was within 93.0%−103.2%. CONCLUSION The method is suitable for the determination of related substances in LPM3480392, and can provide valuable reference for the follow-up research and development of LPM3480392.

The purpose of this study was to identify the tick species native to Xindi Township,Yumin County,Xinjiang,China.Preliminary morphological identification of parasitic ticks collected from animals in the area was conducted with an ultra-depth of field three-dimensional VHX 600 digital stereo microscope.Total DNA of the ticks was extracted,amplified by PCR based on the COI and ITS2 gene loci,and the posi-tive PCR products were sequenced.The sequence were a-ligned with reference sequences from the NCBI database were aligned with the Basic Local Alignment Search Tool.A genet-ic phylogenetic tree was generated with the neighbor-joining method of MEGA 7.0 software to determine the evolutionary biological characteristics of ticks.Morphological identification showed that the ticks collected from Xindi Township of Yu-min County were consistent with the characteristics of Hya-lomma asiaticum.An evolutionary tree based on the COI and ITS2 gene sequences showed that the ticks collected in this study were clustered with known H.asiaticum sequences.The PCR products of COI and ITS2 were sequenced and compared,which confirmed that the collected tick species were H.asiaticum,in agreement with the morphological and molecular biological results.These findings help to clarify the distribution of ticks in Xindi Township of Xinjiang,and provide basic data for the analysis of tick genetic and evolutionary characteristics,as reference for surveillance and control of ticks in the Xinjiang Uygur Autonomous Region.

Carcinoma, Papillary/diagnostic imaging* ; Humans ; Retrospective Studies ; Thyroid Cancer, Papillary/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging* ; Thyroid Nodule/diagnostic imaging* ; Ultrasonography

OBJECTIVETo investigate the effect of clostridium difficile toxin A(TcdA) on the Rho GTPases and the cytoskeleton in K562 cells.

METHODSK562 cells were cultured in vitro with different concentration of TcdA.The effect of TcdA proliferation of cells was detected by MTT method after the K562 cells were stimulated with TcdA for 24,48 and 72h; the expression of cdc42, RhoA, Rac1 mRNA was assessed by RT-PCR; the changes of the microtubule, the microfilament were observed by confocal laser scanning microscopy.

RESULTSThe proliferation of K562 cells was inhibited after exposure to TcdA for 24, 48 and 72h, and the inhibitory rate was 47.67% in the treatment for 48 h. the cdc42，RhoA and Rac1 mRNA expressions in the experimental groups decreased after treated with TcdA(P<0.05), which positively correlated with concentration of TcdA. Also, the microfilament decreased ,which was observed by confocal laser scanning microscopy.

CONCLUSIONTcdA inhibites K562 cell proliferation and induces apoptosis, TcdA can change the cytoskeleton structure through the cytoskeletal protein genes cdc42 and RhoA, Rac1 mRNA expression,. It is related with cell microfilament content decreasing.

Objective To investigate the expressions of miR-20a-5p/miR-20b-5p in gastric cancer cells and gastric carcinoma tissues,analyze their target genes and enriching signal pathways using bioinformatics methods,and explore their biological behavior and function.Methods The expression levels of miR-20a-5p/miR-20b-5p in gastric cancer cells with different differentiation such as high,middle or low differentiation,normal gastric mucosa cells,gastric cancer tissues and adjacent tissues were detected by real-time fluorescent quantitative PCR,and their clinical significance was analyzed.The target genes of miR-20a-5p/miR-20b-5p were predicted using 10 softwares affiliated to mirWALK web database,and the genes supported by more than three softwares were selected as target genes.The signal pathways of target genes were enriched by online DAVID 6.7 software.Results The expression levels of miR-20a-5p/miR-20b-5p in gastric cancer cells with different differentiation were significantly higher than that in normal gastric mucosa cells (all P ＜0.05),and that in gastric cancer tissues higher than adjacent tissues (P ＜ 0.05).The up-regulated expression of miR-20b-5p was closely related to lymph node metastasis and invasion depth (all P ＜ 0.05).Bioinformatics analysis showed that the enriched target genes of miR-20a-5p/miR-20b-5p existed in multiple signaling pathways associated with cancer.Conclusion MiR-20a-5p/miR-20b-5p may be a promising biomarker of gastric cancer,which is highly expressed in gastric cancer and is related to lymph node metastasis and invasion depth.

Objective To investigate the dynamic changes of three types of anti-poliovirus neutralizing antibodies and anti-hepatitis A virus (HAV) IgG antibody in children who were immunized with inactivated enterovirus 71 (EV71) vaccine (human diploid cell).Methods Serum samples were collected from the subjects immunized with inactivated EV71 vaccine.Neutralizing antibodies against EV71 and poliovirus were detected by micro-cytopathic effect neutralization test.Enzyme linked immunosorbent assay (ELISA) was used to detect IgG antibody against HAV.Results The geometric mean titers (GMTs) of anti-EV71 neutralizing antibody increased to 4.85 following the first-dose injection of inactivated EV71 vaccine.A significant increase of GMTs (up to 64.37) could be observed 28 days after the second-dose vaccination.Meanwhile, results of the dynamic monitor showed that there were slight fluctuations in the neutralizing antibodies against three types of poliovirus on day 28 (28 days after the first-dose vaccination) compared with those on day 0 (before vaccination) (P<0.05);types Ⅰ and Ⅲ anti-poliovirus neutralizing antibodies on day 56 (28 days after the second-dose vaccination) remained slightly different from those on day 0 (P<0.05), but type Ⅱ anti-poliovirus neutralizing antibody on day 56 had restored to normal level (P>0.05).The level of anti-HAV IgG antibody was stable and no significant difference was found during the observation period (P>0.05).Conclusion This study shows that inactivated EV71 vaccine has no impact on anti-HAV IgG antibody in Children during the two-dose vaccination and in anti-EV71 antibody-producing period, but has slight influence on the anti-poliovirus antibodies.In general, changes in antibody profile do not affect the clinical efficacy of immune response.

Background and objective Diagnostic modes may play an important role in treatments, but minimal in-formation is available regarding their relationship in patients with lung cancer. hTis study may contribute to decision making in clinics and public health centers.MethodshTe records of 505 hospitalized surgical patients with lung cancer at the Department of hToracic Surgery, West China Hospital of Sichuan University from January 2013 to December 2013 were retrospectively reviewed. hTe patients were categorized into physical examination group (PEG, 131 patients) and symptomatic group (SG, 374 patients). Surgical approach, pathological stage, and diagnostic mode were analyzed.Results Low-dose computed tomography (46.6%, 61/131) and computed radiography (51.1%, 67/131) were used as key diagnosis methods in 131 patients in PEG. hTe percentage of hospitalized surgical patients with lung cancer detected via physical examination in the city (35.4%, 80/229) was also signiifcantly higher than in the township (18.1%, 50/276) (P<0.001). hTe ratio of stage I lung cancer detected via physi-cal examination in the city (46.8%, 59/126) was signiifcantly higher than that in the township (27.3%, 33/121) (P=0.001). hTe proportion of patients who underwent VATS lobectomy was signiifcantly higher in PEG (73.3%, 96/131) than that in SG (44.4%, 166/374) (P<0.001), and the ratio of patients at stage I was signiifcantly higher in PEG (70.2%, 92/131) than that in SG (41.4%, 155/374) (P<0.001).Conclusion hTe use of physical examination is more prevalent in cities than that in towns, and its combination with mini-invasive surgical treatment contributes to early diagnosis of patients with lung cancer.