Association between secondhand smoke exposure and serum sex hormone concentrations among US female adults: a cross-sectional analysis using data from the National Health and Nutrition Examination Survey, 2013-2016.

OBJECTIVE: To estimate the association between secondhand smoke (SHS) exposure and serum sex hormone concentrations in female adults (never smokers and former smokers). DESIGN: Cross-sectional analysis. SETTING: US National Health and Nutrition Examination Survey, 2013-2016. OUTCOME MEASURES: Serum sex hormone measures included total testosterone (TT) and oestradiol (E2), sex hormone-binding globulin (SHBG), the ratio of TT and E2 and free androgen index (FAI). Isotope dilution-liquid chromatography tandem mass spectrometry was used to measure serum TT and E2. SHBG was measured using immunoassay. The ratio of TT and E2 and FAI were calculated. SHS exposure was defined as serum cotinine concentration of 0.05-10 ng/mL. PARTICIPANTS: A total of 622 female participants aged ≥20 years were included in the analysis. RESULTS: For never smokers, a doubling of serum cotinine concentration was associated with a 2.85% (95% CI 0.29% to 5.47%) increase in TT concentration and a 6.29% (95% CI 0.68% to 12.23%) increase in E2 in fully adjusted models. The never smokers in the highest quartile (Q4) of serum cotinine level exhibited a 10.30% (95% CI 0.78% to 20.72%) increase in TT concentration and a 27.75% (95% CI 5.17% to 55.17%) increase in E2 compared with those in the lowest quartile (Q1). For former smokers, SHBG was reduced by 4.36% (95% CI -8.47% to -0.07%, p for trend=0.049) when the serum cotinine level was doubled, and the SHBG of those in Q4 was reduced by 17.58% (95% CI -31.33% to -1.07%, p for trend=0.018) compared with those in Q1. CONCLUSION: SHS was associated with serum sex hormone concentrations among female adults. In never smokers, SHS was associated with increased levels of TT and E2. In former smokers, SHS was associated with decreased SHBG levels.

A ratiometric electrochemical biosensor based on ARGET ATRP for detection of HER2 gene.

Human epidermal growth factor receptor 2 (HER2), a common proto-oncogene, is overexpressed in a subset of breast cancer patients. It is essential to track HER2 expression for early breast cancer diagnosis. Herein, a ratiometric electrochemical biosensor for detection of HER2 based on activators generated by electron transfer for atom transfer radical polymerisation (AGET ATRP) and hairpin DNA was developed. Specifically, hairpin DNA was first self-assembled on the gold electrode by Au-S bond. Upon capturing HER2, the stem-loop structure of hairpin DNA was unfolded, the signal value of methylene blue (MB) decreased as it moved away from the electrode surface. cDNA was linked with HER2 by complementary base pairing to introduce amino group. Then, the initiator 2-bromo-2-methylpropionic acid (BMP) were connected to the amino group on the cDNA to activate ARGET ATRP. The detection performance of biosensors for HER2 was explored by the ratio signal between two signal molecules. Under optimal conditions, this ratiometric electrochemical biosensor shows good selectivity and stability with a wide detection range of 1-1 × 106 pM and a detection limit of 78.47 fM. Furthermore, the biosensor exhibits satisfactory anti-interference ability due to the hairpin DNA and dual signal system, and has promising application prospects in the detection of other DNA disease markers.

Indole-3-carboxaldehyde alleviates cisplatin-induced acute kidney injury in mice by improving mitochondrial dysfunction via PKA activation.

Cisplatin (DDP) is widely used in the treatment of cancer as a chemotherapeutic drug. However, its severe nephrotoxicity limits the extensive application of cisplatin, which is characterized by injury and apoptosis of renal tubular epithelial cells. This study aimed to reveal the protective effect and its underlying mechanism of Indole-3-carboxaldehyde (IC) against DDP-induced AKI in mice and NRK-52E cells pretreated with PKA antagonist (H-89). Here, we reported that IC improved renal artery blood flow velocity and renal function related indicators, attenuated renal pathological changes, which were confirmed by the results of HE staining and PASM staining. Meanwhile, IC inhibited the levels of inflammatory factors, oxidative stress, CTR1, OCT2, and the levels of autophagy and apoptosis. Mitochondrial dysfunction was significantly improved as observed by TEM. To clarify the potential mechanism, NRK-52E cells induced by DDP was used and the results proved that H-89 could blocked the improvement with IC effectively in vitro. Our findings showed that IC has the potential to treat cisplatin-induced AKI, and its role in protecting the kidney was closely related to activating PKA, inhibiting autophagy and apoptosis, improving mitochondrial function, which could provide a theoretical basis for the development of new clinical drugs.

Salvia miltiorrhiza Bunge extract and Przewalskin ameliorate Bleomycin-induced pulmonary fibrosis by inhibition of apoptosis, oxidative stress and collagen deposition via the TGF-ß1 pathway.

BACKGROUND: Salvia miltiorrhiza Bunge (Labiatae) (DS) is a key part of the traditional Chinese medicine, whose roots are used to remove blood stasis, relieve pain, eliminate carbuncle and calm the nerves. Our research team found that the DS extract could significantly reverse LPS-induced lung injury, and five new diterpenoid quinones in DS extract with excellent lung protective activity for the first time. However, the material basis and mechanism of DS on pulmonary fibrosis (PF) needs to be explored in depth. OBJECTIVE: Bleomycin (BLM) was employed to establish the PF model, and Transcriptome and Surface plasmon resonance (SPR) ligand fishing technology were used to explore the material basis and mechanism of DS on PF, and provided theoretical research for clinical treatment of PF. METHODS: DS extract (24.58 or 49.16 mg/kg, i.g.) was administered daily from Day 8 to Day 28, followed by intratracheal BLM drip (5 mg/kg) to induce PF. Data about the influences of DS on PF were collected by transcriptome sequencing technology. Pulmonary ultrasound, airway responsiveness, lung damage, collagen deposition, and the levels of TNF-α, IL-1ß, apoptosis, oxidative stress (OS), immune cells, TGF-ß1, α-SMA, E-Cadherin and Collage Ⅰ were examined. The affinity component (Przewalskin) in DS extract targeted by TGF-ß1 was fished by SPR ligand fishing technology. Furthermore, an in vivo PF mouse model and an in vitro TGF-ß1 induced BEAS-2B cell model were established, to explore the mechanism of Przewalskin on PF from the apoptosis, OS and epithelial mesenchymal transformation pathway. RESULTS: DS extract improved pulmonary ultrasound, reduced lung damage and collagen deposition, downregulated TNF-α, IL-1ß, apoptosis, OS, TGF-ß1, α-SMA, E-Cadherin and Collage Ⅰ, transformed immune cells following Bleomycin challenge. Furthermore, affinity component (Przewalskin) also improved pulmonary ultrasound and airway responsiveness, reduced lung damage and collagen deposition, downregulated TNF-α, IL-1ß, apoptosis, OS in vivo and in vitro. CONCLUSION: Analysis using a mouse model revealed that DS extract and Przewalskin can relieve clinical symptoms of PF, reduce lung injury and improve lung function. Meanwhile, DS extract and Przewalskin can improve BLM-induced PF by inhibition of, OS, apoptosis and collagen deposition might via the TGF-ß1 pathway. This study provides references to identification of novel therapeutic targets, thereby facilitating drug development for PF.

[Platycladi Semen oil ameliorates Aß_(25-35)-induced brain injury in mice based on network pharmacology and gut microbiota].

The present study aimed to investigate the protective effect and underlying mechanism of Platycladi Semen oil(SP) on Aß_(25-35)-induced brain injury in mice to provide a theoretical basis for the clinical treatment of Alzheimer's disease(AD). Male Kunming(KM) mice were randomly divided into a control group, a model group(brain injection of Aß_(25-35), 200 µmol·L~(-1), 0.15 µL·g~(-1)), a positive drug group(donepezil, 10 mg·kg~(-1)), and low-and high-dose SP groups(0.5 and 1 mL·kg~(-1)). Learning and memory ability, neuronal damage, levels of Aß_(1-42)/Aß_(1-40), p-Tau, related indicators of apoptosis and oxidative stress, and immune cells, and protein and mRNA expression related to the sphingosine kinase 1(SPHK1)/sphingosine-1-phosphate(S1P)/sphingosine-1-phosphate receptor 5(S1PR5) signaling pathway of mice in each group were determined. In addition, compounds in SP were analyzed by gas chromatography-mass spectrometry(GC-MS). The mechanism of SP against AD was investigated by network pharmacology, 16S rDNA gene sequencing for gut microbiota(GM), and molecular docking techniques. The results showed that SP could improve the learning and memory function of Aß_(25-35)-induced mice, reduce hippocampal neuronal damage, decrease the levels of Aß_(1-42)/Aß_(1-40), p-Tau, and indicators related to apoptosis and oxidative stress in the brain, and maintain the homeostasis of immune cells and GM. Network pharmacology and sequencing analysis for GM showed that the therapeutic effect of SP on AD was associated with the sphingolipid signaling pathway. Meanwhile,(Z,Z,Z)-9,12,15-octadecatrienoic acid and(Z,Z)-9,12-octadecadienoic acid, the components with the highest content in SP, showed good binding activity to SPHK1 and S1PR5. Therefore, it is inferred that SP exerts anti-apoptosis and antioxidant effects by regulating GM and inhibiting SPHK1/S1P/S1PR5 pathway, thereby improving brain injury induced by Aß_(25-35) in mice. Moreover,(Z,Z,Z)-9,12,15-octadecatrienoic acid and(Z,Z)-9,12-octadecadienoic acid may be the material basis for the anti-AD effect of SP.

Aralia saponin A isolated from Achyranthes bidentata Bl. ameliorates LPS/D-GalN induced acute liver injury via SPHK1/S1P/S1PR1 pathway in vivo and in vitro.

OBJECTIVE: Acute liver injury (ALI) refers to a disease in which the liver is affected by factors such as chemical substances, alcohol, and virus infection in a short time, resulting in damage to liver cells. Achyranthes bidentata Bl. with the hepatoprotective activity has attracted great attention. In this study, a pentacyclic triterpenoid (Aralia saponin A, AsA) was isolated from roots of Achyranthes bidentata Bl. and its anti-ALI activity, as well as the mechanisms, were investigated for the first time. METHODS: AsA (10 or 20 mg/kg, i.g.) was administered over a period of 1 weeks, following which liver injury was induced by LPS (10 µg/kg)/D-GalN (700 mg/kg). H&E staining of liver, Aspartate amino transferase (AST), Alanine transaminase (ALT) and cytokines was employed to investigate ALI relevant features. The mitochondrial morphology and levels of mitochondrial membrane potential (MMP), oxidative stress balance, apoptosis, average fluorescence intensity of 2-DG, natural killer (NK) cells in liver tissues were determined to assess the oxidative stress damage and inflammatory injury. Transcriptomics and metabonomics analysis were employed to clarify the mechanisms. Additionally, the mRNA and protein expression levels of Sphingosine 1-phosphate (S1P), Sphingosine kinase-1 (SPKH1), Sphingosine 1 phosphate receptor 1 (S1PR1), Sphingosine 1 phosphate receptor 3 (S1PR3), TNF receptor associated factor 2 (TRAF-2), Phospho-NF- kappaB p65 (p-P65), NF- kappaB p65 (P65), Proto-oncogene ras (Ras), Ras-related C3 botulinum toxin substrate (Rac), Phospholipase C (PLC), Interleukin 6 (IL-6), Tumor necrosis factor α (TNF-α), Interleukin 1ß (IL-1ß), Vascular cell adhesion molecule 1 (Vcam1), CC chemokine ligand-2 (Ccl2) were analyzed. The mediating role of SPHK1 in the observed effects caused by AsA was assessed by investigatin SPHK1 transfection silencing/overexpression against AsA in AML12 cells induced by LPS/D-GalN. RESULTS: AsA can ameliorate liver function, inflammation, mitochondrial structure and oxidative stress in the ALI model. Meanwhile, AsA led to downregulated expression of proteins associated with sphingolipid signaling pathway. Silencing of SPHK1 led to enhanced protective effects of AsA, while over-expression of SPHK1 led to degraded protective effects of AsA in LPS/D-GalN-induced AML12 cells, suggesting that ALI is regulated by active molecules of AsA by means of SPHK1 mediation. CONCLUSIONS: AsA can ameliorate LPS/D-GalN-induced ALI by inhibiting inflammation and oxidative stress via the SPHK1/S1P/S1PR1 pathway. In this way, a molecular justification is provided for AsA application in ALI treatment.

Differentiating glioblastoma from primary central nervous system lymphoma of atypical manifestation using multiparametric magnetic resonance imaging: A comparative study.

Background: The aim of this study is to evaluate the diagnostic efficiency of magnetic resonance imaging (MRI) of single parameters, unimodality, and bimodality in distinguishing glioblastoma (GBM) from atypical primary central nervous system lymphoma (PCNSL) based on diffusion-weighted imaging (DWI), dynamic susceptibility contrast (DSC) enhancement, diffusion tensor imaging (DTI), and proton magnetic resonance spectroscopy (1H-MRS) findings. Methods: The cohort included 108 patients pathologically diagnosed with GBM and 54 patients pathologically diagnosed with PCNSL. Pretreatment morphological MRI, DWI, DSC, DTI and MRS were all performed on each patient. The quantitative parameters of multimodal MRI were measured and compared between the patients in the GBM and atypical PCNSL groups, and those parameters showing a significant difference (p < 0.05) between patients in the GBM and atypical PCNSL groups were used to develop one-parameters, unimodality, and bimodality models. We evaluated the efficiency of different models in distinguishing GBM from atypical PCNSL by performing receiver operating characteristic analysis (ROC). Results: Atypical PCNSL had lower minimum apparent diffusion coefficient (ADCmin), mean ADC (ADCmean), relative ADC (rADC), mean relative cerebral blood volume (rCBVmean), maximum rCBV (rCBVmax), fractional anisotropy (FA), axial diffusion coefficient (DA) and radial diffusion coefficient (DR) values and higher choline/creatine (Cho/Cr) and lipid/creatine (Lip/Cr) ratios than GBM (all p < 0.05). The rCBVmax, DTI and DSC + DTI data were optimal models of single-parameter, unimodality and bimodality for differentiation of GBM from atypical PCNSL, yielding areas under the curves (AUCs) of 0.905, 0.954, and 0.992, respectively. Conclusions: Models of single-parameter, unimodality and bimodality based on muti multiparameter functional MRI may help to discriminate GBM from atypical PCNSL.

Machine learning models for predicting survival in patients with ampullary adenocarcinoma.

Objective: The aim of this study was to predict the long-term survival probability of patients with ampullary adenocarcinoma (AAC), which would provide a theoretical basis for the long-term care of these patients. Methods: Data on patients with AAC during 2004-2015 were obtained from the Surveillance, Epidemiology, and End Results database, which were split at a 7:3 ratio into two independent cohorts: training and testing cohorts. Differences in survival between the two groups were tested using the Kaplan-Meier estimator and log-rank test methods. We constructed six survival analysis methods: the American Joint Committee on Cancer TNM stage, Cox Proportional Hazards regression, CoxTime, DeepSurv, XGBoost Survival Embeddings, and Random Survival Forest. The performances of these models were evaluated using the C-index, receiver operating characteristic (ROC), and calibration curves. Results: This study included 2,935 patients with AAC. Univariate Cox regression analyses of the training cohort indicated that race, marital status at diagnosis, scope of regional lymph node surgery, tumor grade, summary stage, American Joint Committee on Cancer stage, TNM stage T, and TNM stage N were important factors affecting survival (P â€‹< â€‹0.05). The results of the C-index indicated that DeepSurv performed the best among the six models, with the highest C-index of 0.731. The areas under the ROC curves of the DeepSurv model at the 1-year, 3-year, 5-year, and 10-year time points were 0.823, 0.786, 0.803, and 0.813, respectively. The calibration curve indicated that DeepSurv performed well, with good calibration. Conclusions: Machine learning models such as DeepSurv have a stronger performance in the survival analysis of patients with AAC.

Analysis and prediction of relative survival trends in patients with non-Hodgkin lymphoma in the United States using a model-based period analysis method.

Background: Survival rates are usually used to evaluate the effect of cancer treatment and prevention. This study aims to analyze the 5-year relative survival of non-Hodgkin lymphoma (NHL) in United States using population-based cancer registry data. Methods: A period analysis was used to evaluate the improvement in long-term prognosis of patients with NHL from 2004 to 2018, and a generalized linear model was developed to predict the 5-year relative survival rates of patients during 2019-2023 based on data from the SEER database stratified by age, sex, race and subtype. Results: In this study, relative survival improved for all NHL, although the extent of improvement varied by sex, age group and lymphoma subtype. Survival improvement was also noted for NHL subtypes, although the extent varied, with marginal-zone lymphoma having the highest 5-year relative survival rate (92.5%) followed by follicular lymphoma (91.6%) and chronic lymphocytic leukemia/small lymphocytic lymphoma (87.3%). Across all subtypes, survival rates were slightly higher in females than in males. Survival rates are lower in the elderly than in the young. Furthermore, the study demonstrated that black patients had lower NHL survival rates than white patients. Survival rates for NHL were higher in rural areas than in urban areas. Patients with extra-nodal NHL had a higher survival rate than patients with nodal NHL. Conclusion: Overall, patient survival rates for NHL gradually improved during 2004-2018. The trend continues with a survival rate of 75.2% for the period 2019-2023. Analysis by NHL subtype and subgroups indicating that etiology and risk factors may differ by subtype. Identification of population-specific prevention strategies and treatments for each subtype can be aided by understanding these variations.

Factors Associated With Lymph Node Yield and Effects of Lymph Node Density on Survival of Patients With Pulmonary Sarcomatoid Carcinoma.

OBJECTIVE: The objective of this study was to identify factors associated with lymph node yield (LNY) during surgeries for pulmonary sarcomatoid carcinoma (PSC) and to determine effects of lymph node density (LND) on the overall survival (OS) of patients with PSC. MATERIALS AND METHODS: The SEER Research Plus database was searched for data on patients with PSC from 1988 to 2018. Poisson regression was used of all patients with PSC to identify relevant factors associated with LNY. Univariate and multivariate Cox regression analyses were adopted for lymph node (LN)-positive patients to evaluate the impact of LND on OS. The 5-year OS rates of patients with PSC were compared based on their LN status and LND. RESULTS: There were 545 eligible patients in the study sample, 175 of which were LN-positive. These patients had significantly lower 5-year OS than those with no positive LNs ( P <0.001). Poisson regression analysis indicated relevant factors increasing LNY included higher diagnosis age, non-Hispanic American Indian or Alaska Native races, larger tumor, pleomorphic carcinoma histology, and more advanced disease stages. The Cox regression analysis indicated higher LND ( P =0.022) was probably associated with a worse prognosis for LN-positive patients. The group with LND ≥0.12 had a higher risk of death than the group with LND <0.12 ( P <0.001) among LN-positive patients with PSC. CONCLUSIONS: Patients with PSC with high LND experienced worse outcomes than those with low LND. Further risk stratification of patients with PSC may help to improve survival benefits based on prognostic indicators of LND.

Adenosine ameliorated Aß25-35-induced brain injury through the inhibition of apoptosis and oxidative stress via an ERα pathway.

Previous studies have shown that adenosine has estrogen-like activity mediated by estrogen receptor α (ERɑ). This study aimed to examine the effects of adenosine on Aß25-35-induced brain injury and the underlying mechanisms involved. Adenosine (Ade, 20 mg/kg, i.g.) was administered for four weeks, followed by the induction of Alzheimer's disease (AD) by Aß25-35 (200 µM, 3 µL/20 g, i.c.v.). Furthermore, a specific ERα blocker (MPP, 0.3 mg/kg, i.p.) was administered 30 min before the treatments of adenosine to evaluate whether the observed effects elicited by adenosine were mediated via ERα. In addition, the learning and memory ability, neuronal damage, and the levels of amyloid ß-protein (Aß), phosphorylated Tau Protein (p-Tau), apoptosis, oxidative stress, immune cells, and ERα were examined. The antagonistic effect of MPP (1 µM) against adenosine (5 µM) in Aß25-35 (20 µM, 24 h)-induced N9 and PC-12 cells was also investigated. Adenosine improved learning and memory ability, reduced neuronal damage, downregulated Aß42/Aß40, p-Tau, apoptosis, and oxidative stress, transformed immune cells, and increased the expression of ERα following Aß25-35 challenge. MPP could block these effects. Moreover, MPP also blocked the effects of adenosine on the levels of apoptosis and reactive oxygen species (ROS) in Aß25-35-induced N9 and PC-12 cells. Adenosine ameliorated Aß25-35-induced brain injury by inhibiting apoptosis and oxidative stress, possibly via an ERα pathway.

Recent Estimates and Predictions of 5-Year Survival in Patients with Gastric Cancer: A Model-Based Period Analysis.

BACKGROUND: The overall incidence and mortality of gastric cancer have steadily declined in the United States over the past few decades, but it is still a serious disease burden for patients. Therefore, it is of great significance to evaluate the latest survival rate of gastric cancer. METHODS: Based on the Surveillance, Epidemiology, and End Results database, this study analyzed the age-standardized relative survival rates and survival trends of gastric cancer cases in 2007-2011 and 2012-2016 using period analysis, and the survival rate 2017-2021 was predicted using a generalized linear model based on the period analysis. RESULTS: During 2007-2016, the 5-year relative survival rate of patients with gastric cancer continued to rise, and the same trend was observed in 2017-2021. The 5-year overall age-standardized relative survival rates in 2007-2011, 2012-2016, and 2017-2021 were 38.3%, 40.6%, and 42.9%, respectively. However, despite these favorable trends, the overall relative survival of patients with gastric cancer remains at a low level. There were significant differences in the relative survival rates of patients with gastric cancer in terms of age, sex, race, primary site, stage, and socioeconomic status. Notably, the survival rate of patients with distant-stage gastric cancer remains very low (10%). CONCLUSION: We found that the survival rate of patients with gastric cancer showed different degrees of improvement in each subgroup. However, the overall relative survival rate of patients with gastric cancer remains low. Analyzing the changes of patients with gastric cancer in the last 10 years will be helpful in predicting the changing trend of cancer in the future. It also provides a scientific basis for relevant departments to formulate effective tumor prevention and control measures.

Distinguishing Tumor Recurrence From Radiation Necrosis in Treated Glioblastoma Using Multiparametric MRI.

PURPOSE: The purpose of this study was to evaluate the diagnostic performance of single-parameter, unimodal and bimodal magnetic resonance imaging (MRI) in differentiating tumor recurrence (TR) from radiation necrosis (RN) in patients with glioblastoma (GBM) after treatment using diffusion-weighted imaging (DWI), diffusion tensor imaging (DTI), dynamic susceptibility contrast enhancement-perfusion weighted imaging (DSC-PWI), and proton magnetic resonance spectroscopy (1H-MRS). MATERIALS AND METHODS: Patients with histologically proven GBM who underwent surgical intervention followed by chemoradiotherapy and developed a new, progressively enhanced lesion on follow-up MRI were included in our study. Subsequently, DWI, DTI, DSC-PWI, and 1H-MRS were performed. Then, these patients underwent a second surgical operation or follow-up MRI to prove TR or RN. MRI metrics include apparent diffusion coefficient (ADC) and relative ADC (rADC) values derived from DWI; fractional anisotropy (FA), axial diffusion coefficient (DA) and radial diffusion coefficient (DR) values derived from DTI; and relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) derived from DSC-PWI. Spectral metabolites such as choline (Cho), creatine (Cr), N-acetylaspartate (NAA), lactate (Lac), and lipids (Lip) were derived from MRS, and the ratios of these metabolites were calculated, including Cho/NAA, Cho/Cr, NAA/Cr, Lac/Cr, and Lip/Cr. These indices were compared between the TR group and RN group, and the receiver operating characteristic (ROC) curve was used to evaluate the performance in distinguishing TR from RN by using single-parameter, unimodal and bimodal MRI. RESULTS: There were significant differences between the TR and RN groups in terms of ADC (p = 0.001), rADC (p < 0.001), FA (p = 0.001), DA (p = 0.003), DR (p = 0.003), rCBV (p < 0.001), rCBF (p < 0.001), Cho/NAA (p < 0.001), Lac/Cr (p < 0.001) and Lip/Cr (p < 0.001). ROC analysis suggested that rCBV, MRS, and DSC + MRS were the optimal single-parameter, unimodal, and bimodal MRI classifiers for distinguishing TR from RN, with AUC values of 0.909, 0.940, and 0.994, respectively. CONCLUSION: The combination of parameters based on multiparametric MRI in the region of enhanced lesions is a valuable noninvasive tool for discriminating TR from RN.

Data mining in clinical big data: the frequently used databases, steps, and methodological models.

Many high quality studies have emerged from public databases, such as Surveillance, Epidemiology, and End Results (SEER), National Health and Nutrition Examination Survey (NHANES), The Cancer Genome Atlas (TCGA), and Medical Information Mart for Intensive Care (MIMIC); however, these data are often characterized by a high degree of dimensional heterogeneity, timeliness, scarcity, irregularity, and other characteristics, resulting in the value of these data not being fully utilized. Data-mining technology has been a frontier field in medical research, as it demonstrates excellent performance in evaluating patient risks and assisting clinical decision-making in building disease-prediction models. Therefore, data mining has unique advantages in clinical big-data research, especially in large-scale medical public databases. This article introduced the main medical public database and described the steps, tasks, and models of data mining in simple language. Additionally, we described data-mining methods along with their practical applications. The goal of this work was to aid clinical researchers in gaining a clear and intuitive understanding of the application of data-mining technology on clinical big-data in order to promote the production of research results that are beneficial to doctors and patients.

Radiomics Signatures Based on Multiparametric MRI for the Preoperative Prediction of the HER2 Status of Patients with Breast Cancer.

OBJECTIVES: The aim of our study was to preoperatively predict the human epidermal growth factor receptor 2 (HER2) status of patients with breast cancer using radiomics signatures based on single-parametric and multiparametric magnetic resonance imaging (MRI). METHODS: Three hundred six patients with invasive ductal carcinoma of no special type (IDC-NST) were retrospectively enrolled. Quantitative imaging features were extracted from fat-suppressed T2-weighted and dynamic contrast-enhanced T1 weighted (DCE-T1) preoperative MRI. Then, three radiomics signatures based on fat-suppressed T2-weighted images, DCE-T1 images and their combination were developed using a support vector machine (SVM) to predict the HER2-positive vs HER2-negative status of patients with breast cancer. The area under the curve (AUC), accuracy, sensitivity, and specificity were calculated to assess the predictive performances of the signatures. RESULTS: Twenty-eight quantitative radiomics features, namely, 14 texture features, 4 first-order features, 9 wavelet features, and 1 shape feature, were used to construct radiomics signatures. The performance of the radiomics signatures for distinguishing HER2-positive from HER2-negative breast cancer based on fat-suppressed T2-weighted images, DCE-T1 images, and their combination had an AUC of 0.74 (95% confidence interval [CI], 0.700 to 0.770), 0.71 (0.673 to 0.738), and 0.86 (0.832 to 0.882) in the primary cohort and 0.70 (0.666 to 0.744), 0.68 (0.650 to 0.726), and 0.81 (0.776 to 0.837) in the validation cohort, respectively. CONCLUSION: Radiomics signatures based on multiparametric MRI represent a potential and efficient alternative tool to evaluate the HER2 status in patients with breast cancer.

Análisis socioeconómico del glaucoma primario de ángulo abierto y factores de riesgo ateroesclerótico / Socioeconomic analysis of primary open-angle glaucoma and atherosclerotic risk factors

Para el año 2020 se estima que existirán alrededor de 79,6 millones de personas con glaucoma y aproximadamente 5,9 millones de ciegos bilaterales por esta afección. El glaucoma primario de ángulo abierto ocupa el segundo lugar dentro de las principales causas de ceguera en el mundo, solo superado por la catarata. Entre sus factores de riesgo se encuentran: la presión intraocular elevada, la excavación papilar aumentada, la edad, el antecedente heredofamiliar, las pruebas estructurales alteradas y los campos visuales anormales. No obstante, los factores de riesgo aterosclerótico también han sido involucrados en su posible desarrollo y progresión. El presente trabajo tiene como objetivo analizar las consecuencias socioeconómicas que generan el glaucoma primario de ángulo abierto y los factores de riesgo ateroesclerótico, como hipertensión arterial, diabetes mellitus, dislipidemias, tabaquismo , sexo, color de piel y obesidad(AU)

It has been estimated that by the year 2020 there will be about 79.6 million people with glaucoma, and about 5.9 million bilaterally blind people due to this condition. Primary open-angle glaucoma is the second cause of blindness worldwide, only surpassed by cataract. Its risk factors include high intraocular pressure, increased papillary excavation, age, hereditary factors, altered structural tests, and abnormal visual fields. However, atherosclerotic risk factors have also been related to its potential development and progression. The present study is aimed at analyzing the socioeconomic consequences of primary open-angle glaucoma and atherosclerotic risk factors such as hypertension, diabetes mellitus, dyslipidemias, smoking, sex, skin color and obesity(AU)

Producción científica publicada por autores cubanos en los últimos 35 años sobre el glaucoma primario de ángulo abierto / Scientific production published by Cuban authors on the primary open angle glaucoma in the last 35 years

Se realizó una revisión bibliográfica con el objetivo de analizar la producción científica publicada por autores cubanos sobre glaucoma primario de ángulo abierto en los últimos 35 años, para lo cual se consultaron artículos científicos de las revistas médicas que aparecen en las bases de datos Medline (PubMed), SciELO Regional, CUMED, IBECS y LILACS. En total se recuperaron 33 artículos, de los cuales 27 fueron originales, 4 revisiones bibliográficas y 1 presentación de caso. Los resultados reportados en dichos estudios evidencian los logros alcanzados por los investigadores cubanos sobre esta importante afección oftalmológica, especialmente en lo que concierne a los tratamientos antiglaucomatosos y al pesquisaje temprano de pacientes con factores de riesgo glaucomatoso. Sin embargo, no se encontró ninguno realizado con el propósito de relacionar esta enfermedad con los factores de riesgo aterosclerótico, lo que podría servir de base para la realización de nuevas investigaciones(AU)

A literature review was made to analyze the scientific production published by Cuban authors on the primary open angle glaucoma in the last 35 years. To this end, the scientific articles from the medical journals included in Medline (PubMed), Regional SciELO, CUMED, IBECS and Lilacs. Thirtty three articles were recovered in total, 27 were original manuscripts, 4 literature reviews and one case report. The reported results of such studies show the achievements attained by the Cuban researchers in the field of this important eye disease, particularly the anti-glaucoma treatments and the early screening of patients with glaucomatous risk factors. However, no paper about the relationship of this disease with atherosclerotic risk factors was found, which would have serve as a basis for the conduction of new research studies(AU)

La cardiopatía isquémica en pacientes diabéticos y no diabéticos / Ischemic heart disease in diabetic and non-diabetic patients

Introducción: La cardiopatía isquémica tiene como uno de sus factores de riesgo más importante a la Diabetes mellitus, la cual influye en el pronóstico, tratamiento, severidad, morbilidad y mortalidad de esta enfermedad. Objetivo: Caracterizar la influencia de la Diabetes mellitus en la cardiopatía isquémica. Material y Métodos: Se realizó una revisión bibliográfica sobre la temática. Resultados: La Diabetes mellitus es un factor de riesgo de alta relevancia de la cardiopatía isquémica. Las personas con diabetes corren el mismo riesgo de tener un infarto de miocardio que las personas sin diabetes que ya han tenido uno. Las mujeres diabéticas son más propensas a cardiopatías isquémicas. Existe una mayor frecuencia de Diabetes mellitus en los pacientes portadores de la cardiopatía isquémica con edades entre 45 y 80 años. Conclusiones: La diabetes impone mayor riesgo de padecer cardiopatía isquémica, la hace más precoz, le impone dificultades diagnósticas y mayor riesgo de complicaciones. La diabetes y la cardiopatía isquémica son enfermedades con incidencias y prevalencias que se incrementan con la edad(AU)

Introduction:Ischemic heart disease has Diabetes mellitus as one of its most important factors, because affects the prognosis, treatment, severity, morbidity and mortality of the first one. Objective: To characterize the influence of diabetes mellitus on ischemic heart disease. Material and Methods: A literature review on the subject was conducted. Results: Diabetes mellitus is confirmed as a highly relevant risk factor for ischemic heart disease. People with diabetes are at the same risk of having a myocardial infarction as people without diabetes who have already had one. Diabetic women are more likely to have ischemic heart disease. There is a higher frequency of Diabetes mellitus in patients with ischemic heart disease aged between 45 and 80 years. Conclusions:Diabetes imposes an increased risk of suffering of ischemic heart disease, makes it more precocious, and imposes diagnostic difficulties and greater risk of complications. Diabetes and ischemic heart disease are illnesses with incidence and prevalence that increase with age(AU)

The Mechanism by Which Amentoflavone Improves Insulin Resistance in HepG2 Cells.

BACKGROUND: The aim of this study was to explore the mechanism by which amentoflavone (AME) improves insulin resistance in a human hepatocellular liver carcinoma cell line (HepG2). METHODS: A model of insulin resistant cells was established in HepG2 by treatment with high glucose and insulin. The glucose oxidase method was used to detect the glucose consumption in each group. To determine the mechanism by which AME improves insulin resistance in HepG2 cells, enzyme-linked immunosorbent assay (ELISA) and western blotting were used to detect the expression of phosphatidyl inositol 3-kinase (PI3K), Akt, and pAkt; the activity of the enzymes involved in glucose metabolism; and the levels of inflammatory cytokines. RESULTS: Insulin resistance was successfully induced in HepG2 cells. After treatment with AME, the glucose consumption increased significantly in HepG2 cells compared with the model group (MG). The expression of PI3K, Akt, and pAkt and the activity of 6-phosphofructokinas (PFK-1), glucokinase (GCK), and pyruvate kinase (PK) increased, while the activity of glycogen synthase kinase-3 (GSK-3), phosphoenolpyruvate carboxylase kinase (PEPCK), and glucose-6-phosphatase (G-6-Pase) as well as the levels of interleukin-6 (IL-6), interleukin-8 (IL-8), tumor necrosis factor-α (TNF-α), and C reactive protein (CRP) decreased. CONCLUSIONS: The mechanism by which treatment with AME improves insulin resistance in HepG2 cells may involve the PI3K-Akt signaling pathway, the processes of glucose oxygenolysis, glycogen synthesis, gluconeogenesis and inflammatory cytokine expression.