Objective To analyze the clinical characteristics of measles cases in the measles elimination stage and to provide a scientific basis for the prevention, control, diagnosis and treatment of measles. Methods The descriptive epidemiological method was used to analyze the clinical characteristics of 442 confirmed measles cases in Hebei Province from 2018 to 2020. Results Among the 442 measles cases, the main symptoms were rash (96.61%), fever (90.50%), cough (56.11%), and Koplik spots (30.09%). Complications were mainly pneumonia (12.22%). There were significant differences in symptoms among different age groups (P < 0.05). The incidence of symptoms in children under 5 years old (except cough) was higher than that in other age groups. Immunization history had no significant impact on the symptoms of fever and rash (P > 0.05), but the incidence of symptoms such as cough, conjunctivitis, Koplik's spots and catarrhal rhinitis in the immunized group was lower than that in the non-immunized group (P < 0.05). The group with an interval of 0 days from fever to rash was the largest, and the proportion of people with an immunization history in the 0-day group (68.06%) was significantly higher than that in the 3-4-day group (49.44%) (P < 0.05). Pneumonia complications were mainly concentrated in children under 5 years old (87.03%), and most of the cases had a 0-dose immunization history (81.48%). Conclusion In the measles elimination stage, the incidence of fever and rash in cases is relatively high, while the incidence of Koplik spots is relatively low. The symptoms are more obvious in the younger age group. Vaccination can reduce the incidence of specific symptoms. The change in the time of rash appearance suggests that the diagnosis and treatment plan need to be adjusted. This study provides key data support for the formulation of measles prevention, control and treatment strategies.

Objective To analyze the operation of Measles Surveillance System (MSS) in Hebei Province, and to provide evidence for measles elimination. Methods Measles surveillance data was collected from the MSS from 2020 to 2023, and a modified weighted technology for order preference by similarity to an ideal solution (TOPSIS) method was used to evaluate the surveillance indexes of measles in Hebei Province. Results The operation quality of the measles surveillance system in Hebei Province was improved year by year, with the highest quality in 2023, and all the indicators reached the monitoring program standards. The quality of measles surveillance system was not balanced among cities, and the main influencing factor was the substandard sensitivity indicators. The quality of measles surveillance system was the highest in Baoding City and the lowest in Zhangjiakou City. Conclusion The measles surveillance system in Hebei province is running well, and the sensitivity of the surveillance system should be improved to keep the high-quality operation of the surveillance system.

Objective:To develop radiomics score (RS) based on 18F-FDG PET/CT, and construct the machine learning model combining clinical and other relevant factors for personalized prediction of 2-year event-free survival (2-EFS) in patients with diffuse large B-cell lymphoma (DLBCL), and to perform interpretability analysis of the model. Methods:A total of 91 patients (49 males, 42 females; age (57.8±12.8) years) with pathologically confirmed DLBCL from December 2017 to December 2020 at the First Hospital of Shanxi Medical University were retrospectively analyzed. According to the ratio of 7∶3, patients were randomly divided into training set ( n=63) and test set ( n=28), and divided into non-progression group and progression group according to the follow-up results. The whole-body PET semi-quantitative parameters were calculated from the PET/CT images before treatment, and 328 radiomics features were extracted from the largest target lesions of patients. The least absolute shrinkage and selection operator (LASSO) was used to develop the RS. Clinical and PET characteristic difference analysis was performed through χ2 test and Mann-Whitney U test. Extreme gradient boosting (XGBoost) models were constructed based on clinical, PET radiomics features and RS, and the prediction efficiency of each model was evaluated by ROC AUC. The model interpretability was analyzed by using shapely additive explanation (SHAP). Results:Of all patients, 32 had disease progression and 59 did not. There were no significant differences in baseline characteristics between the training set and the test set ( χ2 values: 0.06-1.84, U values: 665.00-763.00, all P>0.05). The comparison between the progression group and non-progression group in the training set showed statistical differences in the international prognostic index (IPI) score ( χ2=4.87, P=0.027), myelocytomatosis viral oncogene (MYC) protein expression ( χ2=4.29, P=0.038), and metabolic tumor volume (MTV; U=307.00, P=0.038). Seven radiomics features were screened by LASSO. Among XGBoost models with different feature combinations, IPI score, MYC protein expression, MTV combined with RS had the highest predictive efficiency (training set: AUC=0.73; test set: AUC=0.70). Through SHAP analysis, RS was the most predictive feature in the optimal model. Conclusion:The machine learning integrated model of IPI score, MYC protein expression and MTV combined with RS can effectively predict the prognosis of DLBCL patients, and baseline 18F-FDG PET/CT radiomics can be used as a potential means to evaluate the prognosis of DLBCL patients.

Objective:To develop radiomics score (RS) based on 18F-FDG PET/CT, and construct the machine learning model combining clinical and other relevant factors for personalized prediction of 2-year event-free survival (2-EFS) in patients with diffuse large B-cell lymphoma (DLBCL), and to perform interpretability analysis of the model. Methods:A total of 91 patients (49 males, 42 females; age (57.8±12.8) years) with pathologically confirmed DLBCL from December 2017 to December 2020 at the First Hospital of Shanxi Medical University were retrospectively analyzed. According to the ratio of 7∶3, patients were randomly divided into training set ( n=63) and test set ( n=28), and divided into non-progression group and progression group according to the follow-up results. The whole-body PET semi-quantitative parameters were calculated from the PET/CT images before treatment, and 328 radiomics features were extracted from the largest target lesions of patients. The least absolute shrinkage and selection operator (LASSO) was used to develop the RS. Clinical and PET characteristic difference analysis was performed through χ2 test and Mann-Whitney U test. Extreme gradient boosting (XGBoost) models were constructed based on clinical, PET radiomics features and RS, and the prediction efficiency of each model was evaluated by ROC AUC. The model interpretability was analyzed by using shapely additive explanation (SHAP). Results:Of all patients, 32 had disease progression and 59 did not. There were no significant differences in baseline characteristics between the training set and the test set ( χ2 values: 0.06-1.84, U values: 665.00-763.00, all P>0.05). The comparison between the progression group and non-progression group in the training set showed statistical differences in the international prognostic index (IPI) score ( χ2=4.87, P=0.027), myelocytomatosis viral oncogene (MYC) protein expression ( χ2=4.29, P=0.038), and metabolic tumor volume (MTV; U=307.00, P=0.038). Seven radiomics features were screened by LASSO. Among XGBoost models with different feature combinations, IPI score, MYC protein expression, MTV combined with RS had the highest predictive efficiency (training set: AUC=0.73; test set: AUC=0.70). Through SHAP analysis, RS was the most predictive feature in the optimal model. Conclusion:The machine learning integrated model of IPI score, MYC protein expression and MTV combined with RS can effectively predict the prognosis of DLBCL patients, and baseline 18F-FDG PET/CT radiomics can be used as a potential means to evaluate the prognosis of DLBCL patients.

ObjectiveThe bioinformatics method was used to screen ferroptosis differential genes （FRGs） closely related to ulcerative colitis （UC）， and animal experiments were conducted to verify whether the mechanism of Xiezhuo Jiedu recipe in treating UC is related to the regulation of ferroptosis. MethodThe differentially expressed genes （DEGs） of colonic mucosa tissue of UC patients were obtained from the GEO database， and the intersection of the genes with ferroptosis genes was used to obtain FRGs. The core FRGs were obtained by cluster analysis， minimum absolute contraction and selection operator （LASSO） regression， and receiver operating characteristic curve （ROC） curve analysis. In animal experiments， the UC mouse model was prepared by making the mouse freely drink 2.5% dextran sodium sulfate （DSS）. Xiezhuo Jiedu recipe and mesalazine were given by gavage for seven days， and the inflammatory infiltration of colonic mucosa was observed by hematoxylin-eosin （HE） staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression levels of E3 ubiquitin ligase （FBXW7）， zinc finger protein （ZFP36）， solute carrier family 7 member 11 （SLC7A11）， and Toll-like receptor 4 （TLR4） in colon tissue. The protein expression levels of FBXW7， ZFP36， SLC7A11， and TLR4 in colon tissue were detected by Western blot. ResultDataset GSE87466 was screened from the GEO database， and its intersections with the ferroptosis gene were analyzed to obtain 21 FRGs. After cluster analysis， LASSO regression， and ROC analysis， core FRGs （FBXW7， ZFP36， SLC7A11， and TLR4） were obtained. Immunoinfiltration analysis showed significant differences in the expression of initial B cells， M1 macrophages， plasma cells， and M2 macrophages in the colonic mucosa tissue of UC mice， and there was a significant correlation between core FRGs and these immune cells. Further animal experiments showed that the colonic mucosa tissue of mice in the model group was disorganized and infiltrated by a large number of inflammatory cells. The inflammation of the colonic mucosa tissue of mice in each group was relieved to varying degrees after treatment with Xiezhuo Jiedu recipe and mesalazine， while the colonic mucosa tissue of mice in the high-dose group of Xiezhuo Jiedu recipe showed almost no inflammatory changes. Compared with the normal group， the protein and mRNA expressions of FBXW7， ZFP36， SLC7A11， and TLR4 in the model group were significantly increased， and the expression of core FRGs in colonic mucosa tissue of mice in all groups was significantly down-regulated after treatment with Xiezhuo Jiedu recipe and mesalazine. ConclusionFBXW7， ZFP36， SLC7A11， and TLR4 are ferroptosis genes closely related to the pathogenesis of UC， and Xiezhuo Jiedu recipe can significantly alleviate colonic mucosa inflammation in mice by down-regulating core ferroptosis genes.

ObjectiveThe differential expression of microRNAs （miRNAs） between the active stage and the remission stage of ulcerative colitis （UC） was analyzed by bioinformatics method， and the regulatory relationship was constructed by screening the differentially expressed genes （DEGs）. The mechanism of Xizhuo Jiedu recipe in the treatment of UC was speculated and verified by animal experiments. MethodThe miRNAs data set of colonic mucosa tissue of UC patients was obtained from the gene expression database （GEO）， and the most differentially expressed miRNAs were screened by GEO2R， Excel， and other tools as research objects. TargetScan， miRTarbase， miRDB， STRING， TRRUST， and Matescape databases were used to screen key DEGs， predict downstream transcription factors （TFs）， gene ontology （GO）， and conduct Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis. The key signaling pathways were selected for animal experiments. In animal experiments， the UC mouse model was prepared by making the mouse freely drink 2.5% dextran sodium sulfate （DSS）. Xiezhu Jiedu recipe and mesalazine were given by gavage for seven days， and the inflammatory infiltration of colonic mucosa was observed by hematoxylin-eosin （HE） staining. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of miR-155-5p in colon tissue. Immunohistochemistry and Western blot were used to detect the protein expression levels of cytokine signal transduction inhibitor （SOCS1）， phosphorylated transcriptional signal transductor and activator 3 （p-STAT3）， phosphorylated Janus kinase 2 （p-JAK2）， and retinoic acid-associated orphan receptor-γt （ROR-γt）. The expression levels of transforming growth factor-β （TGF-β）， interleukin-17 （IL-17）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） in serum were detected by enzyme linked immunosorbent assay （ELISA）. ResultThe GSE48957 dataset was screened from the GEO database， and miR-155-5p was selected as the research object from the samples in the active and remission stages. 131 DEGs were screened. The GO/KEGG enrichment analysis was closely related to biological processes such as positive regulation of miRNA transcription and protein phosphorylation， as well as signaling pathways such as stem cell signaling pathway， IL-17 signaling pathway， and helper T cell 17 （Th17） cell differentiation. The Matescape database was used to screen out 10 key DEGs， among which SOCS1 was one of the key DEGs of miR-155-5p. Further screening of the TFS of key DEGs revealed that STAT3 was one of the main TFs of SOCS1. The results of animal experiments showed that Xiezhu Jiedu Recipe could effectively down-regulate the mRNA expression of miR-155-5p and protein expression of p-STAT3， p-JAK2， and ROR-γt in colon tissue of UC mice and the expression of IL-17 and IL-6 in serum of UC mice， up-regulate the protein expression of SOCS1 and the expression of TGF-β and IL-10， increase the level of anti-inflammatory factors， and reduce inflammatory cell infiltration. ConclusionIt is speculated that Xizhuo Jiedu recipe may interfere with SOCS1 by regulating the expression of miR-155-5p in UC mice， inhibit the phosphorylation of STAT3， inhibit the differentiation of CD4⁺ T cells into Th17 cells， reduce the levels of pro-inflammatory factors （IL-17 and IL-6）， and increase the levels of anti-inflammatory factors （TGF-β and IL-10）. As a result， the inflammation of colon mucosa in UC mice was alleviated.

Background::Hepatic ischemia-reperfusion injury (HIRI) remains a common complication during liver transplantation (LT) in patients. As a key downstream effector of the Hippo pathway, Yes-associated protein (YAP) has been reported to be involved in various physiological and pathological processes. However, it remains elusive whether and how YAP may control autophagy activation during ischemia-reperfusion.Methods::Human liver tissues from patients who had undergone LT were obtained to evaluate the correlation between YAP and autophagy activation. Both an in vitro hepatocyte cell line and in vivo liver-specific YAP knockdown mice were used to establish the hepatic ischemia-reperfusion models to determine the role of YAP in the activation of autophagy and the mechanism of regulation. Results::Autophagy was activated in the post-perfusion liver grafts during LT in patients, and the expression of YAP positively correlated with the autophagic level of hepatocytes. Liver-specific knockdown of YAP inhibited hepatocytes autophagy upon hypoxia-reoxygenation and HIRI ( P <0.05). YAP deficiency aggravated HIRI by promoting the apoptosis of hepatocytes both in the in vitro and in vivo models ( P <0.05). Attenuated HIRI by overexpression of YAP was diminished after the inhibition of autophagy with 3-methyladenine. In addition, inhibiting autophagy activation by YAP knockdown exacerbated mitochondrial damage through increasing reactive oxygen species ( P <0.05). Moreover, the regulation of autophagy by YAP during HIRI was mediated by AP1 (c-Jun) N-terminal kinase (JNK) signaling through binding to the transcriptional enhanced associate domain (TEAD). Conclusions::YAP protects against HIRI by inducing autophagy via JNK signaling that suppresses the apoptosis of hepatocytes. Targeting Hippo (YAP)-JNK-autophagy axis may provide a novel strategy for the prevention and treatment of HIRI.

Objective To understand the research status and development trend in the field of molecular and cell biology of thyroid cancer.Methods Relevant literature published in the field of molecular and cell biology of thyroid cancer from January 1,2013 to December 31,2022 was obtained in the web of science core collection(WoSCC)according to the search conditions,and bibliometric and visual analysis were performed using the bibliometric software VOSviewer and Excel.Results A total of 1 627 literatures were included.Among them,113 papers were published in 2013,and 214 were published in 2022.The annual number of publications was on the rise.There were 9 274 authors in total,of whom 6 published no less than 10 literatures.There were a total of 2 042 institutions,of which the top 10 institutions were mostly Chinese universities.There were 68 countries in total,and the largest number of publications was China,followed by the United States.There were 513 journals in total,and the top 10 journals with the largest number of literatures were mainly in the field of oncology,followed by the field of endocrinology and metabolism.A total of 62 563 references from 5 887 journals were cited.The most co-cited journal was Journal of Biological Chemistry(1 608 times),and the most co-cited references was Molecular Pathogenesis and Mechanisms of Thyroid Cancer(89 times).Conclusion The field of molecular and cell biology of thyroid cancer is currently developing steadily.Ferroptosis,glycosylation,telomerase reverse transcriptase and oxidative stress are the research frontiers in this field.

[摘 要] 目的：探究小核核糖核蛋白多肽A（SNRPA）在肝细胞癌（HCC）组织和细胞中的表达及其调控HCC细胞HepG2和Hep3B恶性生物学行为的作用及其机制。方法: 数据库分析SNRPA在泛癌组织中的表达及其与病理分期、HCC患者预后的相关性。常规培养HepG2和Hep3B细胞，将si-NC，si-SNRPA#1、si-SNRPA#2转染HepG2和Hep3B细胞，实验分为si-NC组、si-SNRPA#1组和si-SNRPA#2组；将SNRPA-vector和SNRPA-oe载体转染LO2细胞，分为SNRPA-vector组和SNRPA-oe组。qPCR法检测正常肝细胞和肝癌细胞以及转染各组HepG2和Hep3B细胞中SNRPA mRNA的表达，MTT法、Transwell法和WB法分别检测转染后各组HepG2和Hep3B细胞的增殖、迁移和侵袭能力以及EMT相关蛋白表达的变化。结果: 数据库分析显示，SNRPA mRNA在多数肿瘤组织中均呈高表达（均P<0.001）且与病理分期有关联（P<0.05或P<0.01）。SNRPA在HCC组织和细胞中均呈高表达（P<0.05或P<0.01），且与HCC患者的预后有关联（P<0.01）。敲减SNRPA表达明显抑制HepG2和Hep3B细胞增殖（P<0.05或P<0.01）而过表达SNRPA则能促进LO2细胞增殖（P<0.01），敲减SNRPA表达明显抑制HepG2和Hep3B细胞的迁移和侵袭能力（均P<0.01），明显促进E-cadherin的表达上调（P<0.01），而抑制N-cadherin、vimentin的表达（P<0.01）。结论: SNRPA在HCC组织及细胞中呈明显高表达，其可能通过调控上皮间质转化（EMT）进程进而促进HepG2和Hep3B细胞的增殖、迁移和侵袭。

Objective:To investigate the relationship between serum leukocyte-associated immunoglobulin-like receptor 2 (LAIR2) expression and cellular immune function, prognosis in patients with non-small cell lung cancer.Methods:From April 2016 to April 2017, 90 patients with non-small cell lung cancer who were treated in Shangqiu first people’s Hospital were taken as the lung cancer group, and they were grouped into the survival group and the death group according to whether the patients died within 5 years. Another 84 patients with benign pulmonary mass were selected as the control group. The levels of CD4+[ (28.26±5.14) % vs (47.02±6.73) %], CD8+ [ (23.76±5.84) % vs (30.12±6.03) %] and CD4+/CD8+ [ (1.17±0.30) % vs (1.56±0.50) %] in peripheral blood immune cells were detected by flow cytometry; the serum LAIR2 level was detected by enzyme-linked immunosorbent assay (ELISA) , and the average serum LAIR2 level of patients with non-small cell lung cancer was applied as the boundary, and they were grouped into a low LAIR2 expression group and a LAIR2 high expression group; Pearson correlation was applied to analyze the correlation between serum LAIR2 level and immune cell level in patients with non-small cell lung cancer; Kaplan-Meier curve was applied to analyze the relationship between serum LAIR2 level and 5-year survival rate of patients with non-small cell lung cancer; and multivariate COX regression analysis was applied to analyze the factors affecting 5-year mortality in patients with non-small cell lung cancer.Results:The level of serum LAIR2 [ (69.55±13.12) ng/ml vs. (20.64±7.13) ng/ml] in the lung cancer group was significantly higher than that in the control group, and the levels of CD4 +, CD8 + and CD4+/CD8+ were significantly lower than those in the control group ( P<0.05) . The serum LAIR2 level in patients with TNM stage III+IV (77.32±13.09) ng/ml, poorly differentiated tissue (78.14±13.26) ng/ml, and lymph node metastasis (79.02±13.81) ng/ml was significantly higher than that in patients with TNM stage I+II (64.37±12.89) ng/ml, medium/well differentiated tissue (64.32±12.73) ng/ml, and no lymph node metastasis (62.92±12.85) ng/ml ( P<0.05) . The levels of CD4 +, CD8 + and CD4 +/CD8 + in the LAIR2 high expression group were significantly lower than those in the LAIR2 low expression group ( P<0.05) . Serum LAIR2 level in patients with non-small cell lung cancer was negatively correlated with CD4+, CD8+ and CD4+/CD8+ levels ( r=-0.510, -0.496, -0.494, P<0.05) . The 5-year survival rate of patients with high LAIR2 expression was lower than that of patients with low LAIR2 expression ( r=6.375, P<0.05) . LAIR2 was an independent risk factor for 5-year death in patients with non-small cell lung cancer ( P<0.05) . Conclusion:LAIR2 is highly expressed in serum of patients with non-small cell lung cancer, and its expression level is closely related to cellular immune function and prognosis.