Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.

Objective:To investigate the effect and mechanism of circular RNA (cirRNA) on the radiosensitivity of rectal cancer.Methods:The differential circRNAs in radiosensitive and radioresistant rectal cancer tissues (biopsy tissue before radiotherapy and chemotherapy) were detected by gene sequencing, and the effect of circRNAs on the radiosensitivity of colorectal cancer cells was further confirmed in vitro. Results:Through gene sequencing of rectal cancer tissue samples, 64 circRNAs were found to be highly expressed in radiosensitive rectal cancer tissues, and 36 circRNAs were lowly expressed in radiosensitive tissues. Ten differential circRNAs were selected and verified by qRT-PCR, and it was found that circATL2 was highly expressed in radiosensitive rectal cancer tissues. In vitro cell experiment indicated that up-regulation of circATL2 expression could significantly improve the radiosensitivity of rectal cancer. Subsequently, 8 miRNAs lowly expressed in radiosensitive rectal cancer tissues were analyzed. The direct binding relationship between miR-205 and circATL2 was confirmed by dual luciferase reporter assay. The rescue experiment confirmed that circATL2 in rectal cancer regulated the radiosensitivity of rectal cancer through miR-205. Conclusion:circATL2 regulates the radiosensitivity of rectal cancer by binding to miR-205.

Precise biomarker development is a key step in disease management. However, most of the published biomarkers were derived from a relatively small number of samples with supervised approaches. Recent advances in unsupervised machine learning promise to leverage very large data-sets for making better predictions of disease biomarkers. Denoising autoencoder (DA) is one of the unsupervised deep learning algorithms, which is a stochastic version of autoencoder techniques. The principle of DA is to force the hidden layer of autoencoder to capture more robust features by reconstructing a clean input from a corrupted one. Here, a DA model was applied to analyze inte-grated transcriptomic data from 13 published lung cancer studies, which consisted of 1916 human lung tissue samples. Using DA, we discovered a molecular signature composed of multiple genes for lung adenocarcinoma (ADC). In independent validation cohorts, the proposed molecular signature is proved to be an effective classifier for lung cancer histological subtypes. Also, this signature suc-cessfully predicts clinical outcome in lung ADC, which is independent of traditional prognostic fac-tors. More importantly, this signature exhibits a superior prognostic power compared with the other published prognostic genes. Our study suggests that unsupervised learning is helpful for bio-marker development in the era of precision medicine.

Objective To analysis TORCH pathogens infection of women in childbearing age in Beijing area,and to explore the relationship of TORCH infection with the level of TNF-α.Methods Using ELISA detect serum IgM and IgG antibody of TOX,RV,CMV,HSV-I and HSV-II from 970 cases of women during Jan.2015 to Dec.2015.TNF-αlevels of TORCH infection and control group were also determined by ELISA,the results were analyzed.Results Of 970 women,the IgM pos-itive rates of TOX,RV,CMV,HSV-I and HSV-II were 1.65%,2.16%,4.54%,17.42% and 6.08%,respectively.The IgG positive rates of them were 3.81%,93.40%,92.47%,64.02% and 14.64% respectively.The positive rates of CMV and HSV-I IgM for women <30 years old were higher than that of ≥30 years old (χ2=4.558,4.051;P<0.05).HSV-I IgM had statistically higher infection rate in summer than other seasons (χ2=5.356,P<0.05).TNF-αlevels of TORCH IgM positive group were elevated compared with control group (t=10.219,P<0.01).Conclusion Women planning pregnancy were easier infected by TORCH in Beijing area during 2015 with specific epidemiological features.TNF-αalso plays detri-mental role during reproduction of childbearing age women.

Objective To analyze respiratory syncytial virus infection in infants and young children during 2014 and explore the relationship of infection status with the level of interleukin-4 in serum samples.Methods Totally 150 children with ARI were recruited in this study,and collected throat swabs from them.RSV was identified and differentiated into subgroups A and B by real-time RT-PCR.The total of IL-4 concentration in serum samples was measured by ELISA.Results Out of the 150 samples,32 (21.33％) were positive for RSV.Subtyping for A and B showed that 25 cases were subgroup A and 7 cases were subgroup B.Comparing between RSV infection group and normal control group,the former had higher serum IL-4 level [(328.67 ± 52.96) ng/L vs.(217.34 ± 51.21) ng/L,P ＜ 0.01],additionally B subgroup presented higher concentration than A subgroup [(371.09 ± 61.96)ng/L vs.(316.80 ± 44.63) ng/L,P ＜ 0.05].Analysis of clinical data indicated that infection of B subgroup probable caused more serious wheeze symptoms than that by subgroup A.Conclusions Infection of RSV subtype A was predominant in Oct.2014 to Mar.2015.Level of serum IL-4 was increased statistical significantly after RSV infection.Furthermore,infection of subtype B might cause more severe illness.

Objective To investigate inhibition effect of leptin on apoptosis of MCF-7 cells and its potential mechanism.Methods MCF-7 cells were cultured and devided into 5 groups:control group,tamoxifen (10-5 mol/L) group,tamoxifen(10-5 mol/L)-leptin(102 ng/mL)group,tamoxifen (10-5 mol/L)-leptin(103 ng/mL) group,tamoxifen(10-5 mol/L)-leptin(104 ng/mL)group.Fourty-eight hours after being treated with corresponding concentration of leptin and tamoxifen respectively,all groups of cells were quantatively tested for apoptosis by ELISA and were semi-quantatively detected for survivin,Bcl-2,Bax mRNA change by real-time PCR.Results Tamoxifen induced MCF-7 apoptosis were inhibited by leptin at a serial concentration of 103 ng/mL,104 ng/mL.Meanwhile,leptin largely enhanced survivin mRNA expression in MCF-7 cells,compared with control group.However,no significant increase of BCL-2,BAX mRNA in MCF-7 cells was observed after leptin treatment in either group.Conclusions Leptin could effectively inhibit tamoxifen induced MCF-7 apoptosis in a dose dependent manner.The potential mechanisrn of leptin' apoptosis inbition in MCF-7 cells may involve upregulation of survivin mRNA.

ObjectiveTo investigate the inhibitory effect of lentivirusly-mediated ObR-siRNA on transplanted MCF-7 human breast cancer cells by intratumoral injection.MethodsA model of subcutaneous implanted tumor was generated through injecting MCF-7 human breast cancer cells into the nude mice.Thirty established mice with MCF-7 breast cancer cells xenograft were divided into 3 groups randomly,and mice in the experimental group were intratumorally injected with ObR-siRNA lentivirus,while the negative control group and blank control group mice were injected with the same dose of negative lentivirus and normal saline.All mice were subcutaneously injected with recombinant human leptin around the tumor site once a day.Tumor size was blindly measured every other day and the mRNA expression and protein expression levels of ObR in each group were determined.ResultsKnockdown of ObR-treated xenografted nude mice with a high leptin microenvironment was successfully established.Local injection of ObR-siRNA lentivirus significantly suppressed the established tumor growth in nude mice(P ＜ 0.01,P ＜0.01 ).Real time-PCR and Western blotting showed that the mRNA and protein expression of ObR was decreased in the ObR-siRNA lentivirus group( P ＜ 0.01,P ＜ 0.01 ).ConclusionsIntratumoral injection of recomhinant ObR-siRNA lentivirus inhibits the growth of MCF-7 cells xenografts in the nude mice,suggesting that ObR might represent a therapeutic target in the genotherapies of human breast cancer.

Objective To investigate the different effect of exogenous leptin on estrogen receptor α,β mRNA in human breast tumor tissue in nude mice xenograft models. Methods We made nude mice xenograft models of MCF-7 human breast cancer cells cultured in vitro, then divided them into experimental group of]eptin( n = 30)and control group of normal saline( n = 30)randomly. The models of experimental group were injected subcutaneously the recombinant human leptin for 15 consecutive days, the models of control group were injected subcutaneously the same dose of normal saline. A real- time quantitative RT- PCR assay was developed to quantify the expression of estrogen receptor α, β mRNA in tumor tissue, using the relative quantitative analysis. Results The leptin-intervened nude mice xenograft models were safely established. The relative quantitation of estrogen receptor α mRNA was significantly higher in the leptin group than in the normal saline group ( P ＜ 0.01 ), the relative quantitation of estrogen receptor β mRNA was significantly lower in the leptin group than in the normal saline group ( P ＜ 0. 01 ). Conclusion The nude mice xenograft models can be safely intervened with human leptin by subcutaneous injection around tumor.Estrogen receptor is one of the targets of leptin in the progress of breast cancer. Exogenous human leptin can up- regulate the expression of estrogen receptor α and down- regulate the expression of the estrogen receptor βin nude mice xenograft models of human breast tumor.

Leptin,a 16 kD protein encoded by ob gene,has been shown to play a pivotal role in satiaty control and adipose metabolism.However,numemus recent studies indicme that leptin may also take part in mammary cells transformation,proliferation and angiogensis.Those evidences suggest that leptin has an important role in the mammary cell tumorigenesis and progession,but the undedine mechanism needs further exploration.Our aim is to review the current andvances on leptin's role in tumourigenesis and progression of breast cancer from perspectives of in vitro,aniamal model and breast cancer biopsy studies.