scholarly journals Long Noncoding RNA GUSBP3 And SAM4 Function As Potential Diagnostic Biomarkers of Type 2 Diabetes Mellitus In Kazak Populations In The Xinjiang Region of China

2021 ◽  
Author(s):  
Tao Ba ◽  
Tianshui Ma ◽  
Yuan Sun ◽  
YuRong Zhu ◽  
Xiaoli Wang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Real Time ◽  
Microarray Analysis ◽  
Logistic Regression Analysis ◽  
Differentially Expressed ◽  
Healthy Controls ◽  
Chain Reaction ◽  
Diagnostic Biomarkers ◽  
Kazakh Population

Abstract Background: The pathogenesis of T2DM is influenced by a combination of genetic and environmental factors, among which LncRNAs have a huge impact on diabetes.In this study, we investigated the diagnostic value of lncRNA GUSBP3 and lncRNA SAM4 for T2DM in Kazakhs in Xinjiang. Methods: In this study, differentially expressed lncRNAs and mRNAs were screened by microarray analysis microarray in a Kazakh population in Xinjiang, and the expression of two candidate lncRNAs (lnc-GUSBP-3 and lnc-SAM-4) was further validated by quantitative real-time polymerization chain reaction (qRT-PCR).Meanwhile, GO (Gene Ontology) enrichment analysis were used to reveal the biological functions of the two candidate lncRNAs. Spearman’s correlation analysis was used to elucidate the correlation between lnc-GUSBP-3 and lnc-SAM-4 expression and metabolic characteristics. We found that the expression of lnc-GUSBP-3 and lnc-SAM-4 was up-regulated in the T2DM group compared to healthy controls. Multivariate logistic regression analysis showed that DBP, FIns and lnc-GUSBP3 were associated with T2DM susceptibility.In addition, ROC curves were used to evaluate the diagnostic potential of lnc-GUSBP3 and lnc-SAM4. Results: We conducted a microarray analysis of PBMC collected from patients with T2DM and healthy controls, all of Kazakh origin. In the microanalysis, we identified 89 differentially expressed lncRNAs, and 147 differentially expressed mRNAs. real-time quantitative reverse transcription polymerase chain reaction analysis of peripheral blood mononuclear cell (PBMC) samples from T2DM patients and healthy controls from the Xinjiang Kazakh population revealed significantly increased levels of lncRNAs GUSBP3 and SAM4 in T2DM patients. Logistic regression analysis revealed that lncRNA GUSBP3 expression correlated negatively with FIns, but positively with creatinine and uric acid (UA). Furthermore, lncRNA SAM4 expression correlated negatively with low-density lipoprotein cholesterol levels, but positively with UA. The area under the receiver operating characteristic curve values for lnc-GUSBP3 and lnc-SAM4 were 0.789 (95% CI = 0.672–0.906) and 0.741 (95% CI = 0.616–0.866), respectively. Conclusion: There were significant changes in lncRNA and mRNA in Kazakh T2DM patients. LncRNA-GUSBP3 and lncRNA-SAM4 may serve as potential diagnostic biomarkers for T2DM in Kazakhs in Xinjiang.

Orotate phosphoribosyl transferase and XPA expressions as predictive biomarkers for combined chemotherapy with 5-fluorouracil and cisplatin in oro- and hypopharyngeal cancers

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 6084-6084
Author(s):  
Y. Hasegawa ◽  
N. Hanai ◽  
A. Terada ◽  
T. Ozawa ◽  
M. Goto
Keyword(s):  
Gene Expression ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Head And Neck ◽  
Real Time ◽  
Squamous Cell ◽  
Logistic Regression Analysis ◽  
Predictive Biomarkers ◽  
Squamous Cell Carcinomas ◽  
Clinical Markers

6084 Background: The main purpose of the present study was to find predictive biomarkers that can be routinely used for the response to chemotherapy in head and neck squamous cell carcinomas. From this standpoint, we have investigated the gene expression profile of individual tumors as available predictive biomarkers. Methods: Sixty-four tumor specimens from patients undergoing radical treatment for squamous cell carcinomas of the oro- and hypopharynx in stage II, III, or IV, were included in the present study. There were 30 primary tumors sites in the oropharynx and 34 in the hypopharynx, respectively. All patients were administered induction chemotherapy (FP) with a combination of 5-FU (800 (600) mg/m2 d1–5 (6)) and cisplatin (80 mg/m2 d6 (7)) before definitive therapy. This chemotherapy was used in order to select patients for organ preservation based on the response and decrease in late salvage surgery rate. Treatment was repeated every 3 to 4 weeks. Using biopsy specimens, we analyzed their gene expression profiles with the following 25 markers, which we thought were likely predictors of the response to anti-cancer agents: TS, DPD, OPRT, TP, COX2, MDR1, MRP1, VEGF, EGFR, HER2, PIK3CA, PTEN, p53, Rb1, Bcl2, BclX, BAX, GSTπ, ERCC1, XPA, E2F1, ENT1, Rev3, β-tubulin, and Survivin. These mRNA expressions were quantified by real-time reverse transcription polymerase chain reaction (real-time RT-PCR) assay. Clinical markers, such as T and N factor, gender and age were added, and logistic regression analysis and likelihood ratio test were conducted. Results: Univariately, response for chemotherapy was significantly correlated with T factor (p = 0.015), and the mRNA expression level of XPA (p = 0.018) and OPRT (p = 0.047). Meanwhile, using a multivariate logistic regression analysis with these factors (clinical markers, OPRT and XPA), T factor (p = 0.048) and the expression of XPA (p = 0.035) were demonstrated to be independent predictors for chemotherapy. Conclusions: XPA (Xeroderma Pigmentosum A) and OPRT (Orotate phosphoribosyl transferase) may be possible reliable predictive biomarkers for FP therapy, and might help the decision-making strategy for individual patients with head and neck cancers. No significant financial relationships to disclose.

167 VOLATILE ORGANIC COMPOUND PROFILING FOR DETECTION OF ESOPHAGEAL CANCER IN EXHALED BREATH

2020 ◽  
Vol 33 (Supplement_1) ◽  
Author(s):  
R Vissapragada ◽  
N Dharmawardhana ◽  
D Watson ◽  
R Yazbek
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Real Time ◽  
Logistic Regression Analysis ◽  
Dimethyl Sulfide ◽  
Roc Curves ◽  
Exhaled Breath ◽  
Non Invasive ◽  
Volatile Organic ◽  
Selected Ion Flow Tube

Abstract   Endoscopic surveillance for Barrett’s esophagus (BE) is invasive but remains the standard modality for early diagnosis of esophageal adenocarcinoma (EAC) and intervention. Human breath contains an array of volatile organic compounds (VOC) that change in disease conditions. VOC detection provides a potential source of biomarkers for non-invasive, real-time identification of EAC. This study aimed to characterize a VOC-profile applicable to the detection of EAC and to provide pilot data to design a future validation trial. Methods Breath samples were collected in our endoscopy unit from BE, EAC, and control patients. Samples were collected in FlexFoil bags (SKC ltd) using previously standardized methods. Hydrogen, methane and other VOCs were quantified by QuinTron BreathTracker® and selected-ion flow tube mass spectrometry (SIFT-MS, Syft®) respectively. 250 reported cancer-related VOCs were selected for analysis. Non-parametric tests were used to identify candidate VOCs, and logistic regression analysis was then applied to determine the best predictors for EAC. Receiver Operating Characteristic (ROC) Curves were developed to determine the sensitivity and specificity of the model. Results 68 individuals were enrolled in the study (Controls, n = 37; BE, n = 21; EAC, n = 10). 8 VOCs were identified with significant concentration differences between the three groups: Trimethylbenzene (3 iso-forms), Dimethyl Sulfide, 4-isopropyl toluene, 1-butanol, trichloroethylene, hydrogen sulfide, methyl mercaptan, p-isopropenyl toluene. Logistic regression analysis of these 10 compounds demonstrated predictive probability of EAC from other groups with ROC curves calculating an area under the curve of 0.85. Conclusion Previous studies have supported the utility of VOCs in exhaled breath as non-invasive real-time tests for the identification of some other cancer types. This pilot study has identified potential VOCs which might identify individuals with EAC. A larger study will be needed to validate and confirm these findings.

scholarly journals Soluble Programmed Death Molecule 1 (sPD-1) As Predictor of Interstitial Lung Disease in Rheumatoid Arthritis

2021 ◽  
Author(s):  
Li Xu ◽  
Lichun Jiang ◽  
Liuyan Nie ◽  
Songzhao Zhang ◽  
Lie Liu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Programmed Death

Abstract Objective To determine the relationship between serum soluble programmed death molecule-1 (sPD-1) levels and the development of interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA). Methods Blood samples were obtained from 87 patients with RA (58 with ILD and 29 without ILD) and 45 healthy controls. Serum sPD-1 was measured by enzyme-linked immunosorbent assay. The pulmonary interstitial disease score was completed by a pulmonary physician and a radiologist through chest high-resolution computed tomography. Patients with RA-ILD were tested for lung function [e.g., forced vital capacity (FVC%), diffusing capacity of lungs for carbon monoxide (DLCO%)]. Associations between ILD and various markers, including sPD-1 and confounding factors, were investigated by logistic regression analysis. Diagnostic values of sPD-1 for the presence of ILD were investigated using receiver operating characteristic curve analysis. Results Serum sPD-1 levels were higher in RA patients with ILD than in RA patients without ILD and healthy controls (185.1 ± 109.0 pg/ml vs. 119.1 ± 77.5 pg/ml vs. 52.1 ± 21.7 pg/ml, P < 0.05). Serum sPD-1 levels were positively correlated with RF titer (P = 0.02, r = 0.249), anti-cyclic citrullinated peptide antibody status (P = 0.02, r = 0.243), and serum IgG levels (P < 0.001, r = 0.368), negatively associated with FVC% (P = 0.02, r = − 0.344), forced expiratory volume (FEV1%) (P = 0.01, r = − 0.354), total lung capacity % (P = 0.046, r = − 0.302), and was independently associated with the presence of ILD in RA patients by multivariate logistic regression analysis. The sensitivity and specificity of sPD-1 levels for the detection of ILD in RA patients were 58.6% and 75.9%, respectively. The area under the curve was 0.689. Conclusion Serum sPD-1 levels were increased in RA patients with ILD. Increased sPD-1 may be a valuable biomarker to predict the presence of ILD in patients with RA.

scholarly journals Soluble programmed death molecule 1 (sPD-1) as a predictor of interstitial lung disease in rheumatoid arthritis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Li Xu ◽  
Lichun Jiang ◽  
Liuyan Nie ◽  
Songzhao Zhang ◽  
Lei Liu ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Interstitial Lung Disease ◽  
Lung Disease ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Programmed Death

Abstract Background Previous studies have indicated that the programmed death molecule 1 (PD-1) signaling pathway may play a key role in rheumatoid arthritis (RA). However, the pathogenesis of rheumatoid arthritis-related interstitial lung disease (RA-ILD) is not clear. We examined the serum levels of soluble PD-1 in patients with RA and its relationship with RA-ILD. Methods Blood samples were obtained from 87 patients with RA (58 with ILD and 29 without ILD) and 45 healthy controls. Serum sPD-1 was measured by Enzyme-Linked Immunosorbent Assay. The pulmonary interstitial disease score was completed by a pulmonary physician and a radiologist through chest high-resolution computed tomography. Patients with RA-ILD were tested for lung function [e.g., forced vital capacity (FVC%), diffusing capacity of lungs for carbon monoxide (DLCO%)]. Associations between ILD and various markers, including sPD-1 and confounding factors, were investigated by logistic regression analysis. Diagnostic values of sPD-1 for the presence of ILD were investigated using receiver operating characteristic curve analysis. Results Serum sPD-1 levels were higher in RA patients with ILD than in RA patients without ILD and healthy controls (185.1 ± 109.0 pg/ml vs. 119.1 ± 77.5 pg/ml vs. 52.1 ± 21.7 pg/ml, P < 0.05). Serum sPD-1 levels were positively correlated with RF titer (P = 0.02, r = 0.249), anti-cyclic citrullinated peptide antibody status (P = 0.02, r = 0.243), and serum IgG levels (P < 0.001, r = 0.368), negatively associated with FVC% (P = 0.02, r = − 0.344), forced expiratory volume (FEV1%) (P  = 0.01, r = − 0.354), total lung capacity (TLC%) (P = 0.046, r = − 0.302), and was independently associated with the presence of ILD in RA patients by multivariate logistic regression analysis. The sensitivity and specificity of sPD-1 levels for the detection of ILD in RA patients were 58.6% and 75.9%, respectively. The area under the curve was 0.689. Conclusion Serum sPD-1 levels were increased in RA patients with ILD. Increased sPD-1 may be a valuable biomarker to predict the presence of ILD in patients with RA.

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

scholarly journals Efficacy of flurbiprofen axetil for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Atsushi Kotera
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Postoperative Pain ◽  
Logistic Regression Analysis ◽  
Pain Control ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Postoperative Pain Control ◽  
Flurbiprofen Axetil ◽  
Postanesthetic Shivering

Abstract Background Postanesthetic shivering is an unpleasant adverse event in surgical patients. A nonsteroidal anti-inflammatory drug has been reported to be useful in preventing postanesthetic shivering in several previous studies. The aim of this study was to evaluate the efficacy of flurbiprofen axetil being a prodrug of a nonsteroidal anti-inflammatory drug for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries. Method This study is a retrospective observational study. I collected data from patients undergoing gynecologic laparotomy surgeries performed between October 1, 2019, and September 30, 2020, at Kumamoto City Hospital. All the patients were managed with general anesthesia with or without epidural analgesia. The administration of intravenous 50 mg flurbiprofen axetil for postoperative pain control at the end of the surgery was left to the individual anesthesiologist. The patients were divided into two groups: those who had received intravenous flurbiprofen axetil (flurbiprofen group) and those who had not received intravenous flurbiprofen axetil (non-flurbiprofen group), and I compared the frequency of postanesthetic shivering between the two groups. Additionally, the factors presumably associated with postanesthetic shivering were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity category variables. The Student’s t test was used to test for differences in continuous variables. Furthermore, a multivariate logistic regression analysis was performed to elucidate the relationship between the administration of flurbiprofen axetil and the incidence of PAS. Results I retrospectively examined the cases of 141 patients aged 49 ± 13 (range 21-84) years old. The overall postanesthetic shivering rate was 21.3% (30 of the 141 patients). The frequency of postanesthetic shivering in the flurbiprofen group (n = 31) was 6.5%, which was significantly lower than that in the non-flurbiprofen group (n = 110), 25.5% (p value = 0.022). A multivariate logistic regression analysis showed that administration of flurbiprofen axetil was independently associated with a reduced incidence of postanesthetic shivering (odds ratio 0.12; 95% confidence interval, 0.02-0.66, p value = 0.015). Conclusions My result suggests that intraoperative 50 mg flurbiprofen axetil administration for postoperative pain control is useful to prevent postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries.

scholarly journals Prior Admissions as a Risk Factor for Readmission in Patients Surgically Treated for Femur Fractures: Implications for a Potential Hip Fracture Bundle

2021 ◽  
Vol 12 ◽  
pp. 215145932199616
Author(s):  
Robert Erlichman ◽  
Nicholas Kolodychuk ◽  
Joseph N. Gabra ◽  
Harshitha Dudipala ◽  
Brook Maxhimer ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Hip Fracture ◽  
Logistic Regression Analysis ◽  
Hip Fractures ◽  
Surgical Procedure ◽  
Hospital Admissions ◽  
Fracture Care ◽  
Increased Risk ◽  
Payment Models

Introduction: Hip fractures are a significant economic burden to our healthcare system. As there have been efforts made to create an alternative payment model for hip fracture care, it will be imperative to risk-stratify reimbursement for these medically comorbid patients. We hypothesized that patients readmitted to the hospital within 90 days would be more likely to have a recent previous hospital admission, prior to their injury. Patients with a recent prior admission could therefore be considered higher risk for readmission and increased cost. Methods: A retrospective chart review identified 598 patients who underwent surgical fixation of a hip or femur fracture. Data on readmissions within 90 days of surgical procedure and previous admissions in the year prior to injury resulting in surgical procedure were collected. Logistic regression analysis was used to determine if recent prior admission had increased risk of 90-day readmission. A subgroup analysis of geriatric hip fractures and of readmitted patients were also performed. Results: Having a prior admission within one year was significantly associated (p < 0.0001) for 90-day readmission. Specifically, logistic regression analysis revealed that a prior admission was significantly associated with 90-day readmission with an odds ratio of 7.2 (95% CI: 4.8-10.9). Discussion: This patient population has a high rate of prior hospital admissions, and these prior admissions were predictive of 90-day readmission. Alternative payment models that include penalties for readmissions or fail to apply robust risk stratification may unjustly penalize hospital systems which care for more medically complex patients. Conclusions: Hip fracture patients with a recent prior admission to the hospital are at an increased risk for 90-day readmission. This information should be considered as alternative payment models are developed for hip fracture care.

scholarly journals AB0691 ANALYSIS OF SARS-COV-2 ANTIBODIES IN NON-COVID-19 PATIENTS: COMPARISON BETWEEN SYSTEMIC SCLEROSIS PATIENTS AND HEALTHY CONTROLS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1379.1-1379
Author(s):  
L. Giardullo ◽  
C. Rotondo ◽  
A. Corrado ◽  
N. Maruotti ◽  
R. Colia ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Systemic Sclerosis ◽  
Autoimmune Disease ◽  
Reverse Transcriptase ◽  
Real Time ◽  
Polymerase Chain Reaction Assay ◽  
Nuclear Antigen ◽  
Healthy Controls ◽  
Chain Reaction ◽  
Polymerase Chain

Background:Previous study evidenced a cross-reactivity between Sars-Cov-2 antibodies and autoimmune tissue antigen involved in connective tissue diseases, as nuclear antigen (NA), extractable nuclear antigen (ENA), histone and collagen (1). No study has been published about the titer of Sars-Cov-2 antibodies in non-infected patients with autoimmune disease.Objectives:To evaluate the titer of SARS-CoV-2 antibodies in non-COVID-19 patients and compare it between systemic sclerosis (SSc) patients and healthy controls (HC).Methods:A total of 58 patients with SSc (who fulfilled ACR/EULAR 2013 SSc classification criteria) and 18 HC were enrolled. Sera of all participants were collected, and SARS-CoV-2 antibodies (IgG and IgM) were evaluated by means ELISA. In all participants swabs for SARS-CoV-2 by real-time reverse-transcriptase-polymerase-chain-reaction assay were reported negative. Demographic, clinical, and autoimmune serological characteristics of SSc patients were recorded. The normal distribution was assessed using the Shapiro–Wilk’s test. Exclusion criteria was previous or actual Sars-Cov-2 infection. Comparisons between study groups of patients were evaluated by the Student’s t-test or Mann – Whitney U-test as appropriate. The differences between categorial variables were assessed by Pearson chi-square or Fisher’s exact test, as opportune. Statistical significance was set at p ≤ 0.05.Results:We observed significant differences between SSc patients and HC in serum levels of Sars-Cov-2 antibodies (IgG: 1,4±2,1 AU/ml vs 0,36±0,19 AU/ml respectively (p=0,001); and IgM: 2,5±3,1 AU/ml vs 0,8±0,7 AU/ml (p=0,022)). In 5 SSc patients was found titer of Sars-Cov-2 antibodies (IgG) exceeding the cut-off, but the control of swabs for SARS-CoV-2 by real-time reverse-transcriptase-polymerase-chain-reaction assay were negative. No significative differences in Sars-Cov-2 autoantibodies titer were found in subgroup of SSc patients with or without ILD or PAH, limited or diffuse skin subset, and different autoantibodies profile. Furthermore, antibodies titer was not associated with different drugs (steroid, methotrexate, mofetil-mycophenolate and bosentan) in use.Conclusion:A cross mimicking between Sars-Cov-2 antibodies and antinuclear antibodies or anti ENA could be hypothesized. Further studies are necessary to unravel the reliability of Sars-Cov-2 antibodies detection in autoimmune disease.References:[1]Vojdani, A., Vojdani, E., & Kharrazian, D. (2021). Reaction of human monoclonal antibodies to SARS-CoV-2 proteins with tissue antigens: Implications for autoimmune diseases. Frontiers in Immunology, 11, 3679Disclosure of Interests:None declared

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