Objective To screen the biomarkers in nasal lavage fluid of patients with allergic rhinitis (AR) by proteomics tech‐nology .Methods The nasal lavage fluid samples of 10 cases of AR patients and 20 cases of normal controls were collected both be‐fore and after allergen stimulation tests .Two‐dimensioned gel eletrophoresis was used to detect the proteins in nasal lavage fluid samples .The proteins that showed different expression levels were identified by MALDI‐TOF/TOF mass spectrometry .Results Six kinds of proteins differentially expressed were screened out .The expressions of lactoferrin ,α1‐antitrypsin ,and APOA1 increased in the AR patients after being stimulated by allergens .On the contrary ,the expressions of PLUNC protein ,haptoglobin and IgJ de‐creased .Conclusion The six kinds of proteins might be the biomarkers of AR .

Lung cancer is one of the most important malignant tumors of human health and life in the world, and is the leading cause of death in the world. At present, it is believed that it is caused by many factors. Circular RNA (circRNA), as a class of non-coding RNA family, has covalently closed loop structure. CircRNA is abundant in different cells. CircRNAs due to the special structure, with a high degree of specificity, conservation and stability, may have a potential clinical value in the development of lung cancer. The biological function of circRNA is multi-faceted, including miRNA sponge, transcriptional and alternative splicing, protein coding , and so on. Currently, the role and mechanism of circRNA in lung cancer is not very clear. In this paper, the characteristics, function, mechanism and the role of circRNAs in the occurrence and development of lung cancer are reviewed.
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Humans ; Lung Neoplasms ; genetics ; RNA ; genetics

Objective To explore the relationship of HBV genotypes and the age of patients,the positive ratio of HBV e antigen (HBeAg),DNA load in serum of patients,and its clinical significance.Methods We tested HBV B and C genotypes in 344 Zhejiang patients with hepatitis B,compared their clinical differences.Enzyme linked immune sorbent assay(ELISA) was used to test the HBeAg;HBV DNA copies was detected by time fluorescence quantitative PCR.Make comprehensive analysis of these indexes.Results Among the 344 Zhejiang HBV patients,113 patients (32.8％),217 patients (63.1％) and 14 patients (4.1％) were infected by HBV genotype genotype B,C and B + C,respectively.Positive ratio of HBeAg and HBV DNA in genotype C were higher than that of genotype B(P ＜0.01).The ratio of high level virus load(HBV DNA ＞ 105 copies/ml) in genotype C patients was higher than that in genotype B patients (P ＜ 0.01).Conclusion Genotype C is the major genotype in Zhejiang province.Genotypes are associated with the age of patients,positive ratio of HBeAg,DNA load in serum of patients.

Objective To analyze the changes of immune indicators in patients with systemic lupus erythematosus(SLE)and explore their correlation with lupus nephritis(LN).Methods A total of 109 SLE patients treated in Affiliated Lihuili Hospital of Ningbo University from November 2021 to October 2023 were retrospectively included in SLE group,SLE patients were divided into LN group(56 cases)and non-LN group(53 cases)according to whether they were diagnosed with LN or not.32 healthy people who underwent physical examination in the hospital during the same period were included in healthy control group.The immune indicators of subjects were detected,and the clinical data and the scores of systemic lupus erythematosus disease activity index 2000(SLEDAI-2000)were collected.Spearman correlation method was used to analyze correlation between SLEDAI-2000 scores and immune indicators in SLE patients.Multivariate Logistic regression was used to analyze the influencing factors of LN in SLE patients.Results The total lymphocyte count,T cell count,natural killer(NK)cell count,B cell count,helper T(Th)cell proportion,NK cell proportion,B cell proportion,immunoglobulin(Ig)M,complement C3 and complement C4 in SLE group were significantly lower than those in healthy control group(P<0.05),T cell proportion,suppressor T(Ts)cell proportion and anti-double-stranded DNA antibody IgG were significantly higher than those in healthy control group(P<0.05).SLEDAI-2000 scores in SLE group were negatively correlated with NK cell count,B cell count and NK cell proportion(P<0.05),and were positively correlated with T cell proportion and Ts cell proportion(P<0.05).The NK cell count,B cell count,NK cell proportion and B cell proportion in LN group were significantly lower than those in non-LN group(P<0.05),T cell proportion,anti-double-stranded DNA antibody IgG and SLEDAI-2000 scores were significantly higher than those in non-LN group(P<0.05).Multivariate Logistic regression analysis showed that NK cell count and SLEDAI-2000 scores were all factors influencing the development of LN in SLE patients(P<0.05).Conclusion Immune indicators have the ability to evaluate the disease status of SLE patients.SLE patients with decreased NK cell count and increased SLEDAI-2000 scores are more likely to develop LN.

Objective To investigate the clinical significance of dynamic changes in the expression levels of tumor associated autoantibody(TAAB),including tumor protein 53(p53),protein gene product 9.5(PGP9.5),SRY-box containing gene 2(SOX2),G antigen 7 ATP-dependent RNA helicase(GAGE7),ATP-dependent RNA helicase(GBU4-5),melanoma antigen A1(MAGE A1),cancer/testis antigen(CAGE)in non-small cell lung cancer(NSCLC)patients before and after surgery.Methods Forty-one patients with NSCLC who underwent surgical treatment at the Department of Thoracic Surgery of Li Huili Hospital,Ningbo Medical Center,were selected from January 2019 to August 2022.Enzyme linked immunosorbent assay(ELISA)was used to detect the expression levels of seven TAAB markers in the serum of 41 NSCLC patients undergoing surgical treatment.Results The expression levels of PGP9.5 were found to be significantly higher in the squamous cancer group than in the adenocarcinoma group(P<0.05),while the expression levels of GAGE7 were found to be significantly higher in the adenocarcinoma group than in the squamous cancer group(P<0.05).The expression level of GBU4-5 was found to be significantly higher in the squamous carcinoma group than in the adenocarcinoma group at one week after surgery(Z=-2.095,P=0.036).Within the adenocarcinoma group,the expression levels of GBU4-5(P=0.027)and CAGE(P=0.042)were found to be significantly lower at one week after surgery compared with those before surgery.The expression levels of PGP9.5(P=0.004),GAGE7(P<0.001),and GBU4-5(P=0.014)were found to have decreased significantly at six months postoperatively in comparison to their preoperative levels.In the squamous cancer group,no statistically significant differences were observed in the expression levels at one week after surgery.The expression level of SOX2(P=0.011)exhibited a statistically significant decrease at six months postoperatively in comparison to the preoperative levels.Similarly,the expression level of GBU4-5 was found to be significantly decreased at one week postoperatively in comparison to the preoperative levels(P=0.009).The expression levels of PGP9.5(P=0.003),GAGE7(P=0.001),and GBU4-5(P=0.013)were found to have decreased significantly at six months postoperatively.Conclusion Surgical intervention can reduce the expression level of 7 TAABs in NSCLC patients.Monitoring 7 TAABs before and after surgical treatment is helpful to predict the surgical efficacy and postoperative disease progression of NSCLC patients.

Entropy model is widely used in epileptic electroencephalogram (EEG) analysis, but there are few reports on how to objectively select the parameters to compute the entropy model in the analysis of resting-state functional magnetic resonance imaging (rfMRI). Therefore, an optimization algorithm to confirm the parameters in multi-scale entropy (MSE) model was proposed, and the location of epileptogenic hemisphere was taken as an example to test the optimization effect by supervised machine learning. The rfMRI data of 20 temporal lobe epilepsy (TLE) patients with hippocampal sclerosis, positive on structural magnetic resonance imaging, were divided into left and right groups. Then, the parameters in MSE model were optimized by the receiver operating characteristic curves (ROC) and area under ROC curve (AUC) values in sensitivity analysis, and the entropy value of the brain regions with statistically significant difference between the groups were taken as sensitive features to epileptogenic hemisphere lateral. The optimized entropy values of these bio-marker brain areas were considered as feature vectors input into the support vector machine (SVM). Finally, combining optimized MSE model with SVM could accurately distinguish epileptogenic hemisphere in TLE at an average accuracy rate of 95%, which was higher than the current level. The results show that the MSE model parameter optimization algorithm can accurately extract the functional imaging markers sensitive to the epileptogenic hemisphere, and achieve the purpose of objectively selecting the parameters for MSE in rfMRI, which provides the basis for the application of entropy in advanced technology detection.
Brain/diagnostic imaging* ; Brain Mapping ; Entropy ; Epilepsy, Temporal Lobe/diagnostic imaging* ; Humans ; Magnetic Resonance Imaging