Association between prescription opioid use and heart failure: Cohort studies and Mendelian randomization analysis.

BACKGROUND: Prescription opioid use (POU) has been shown to lead to cardiovascular disease (CVD), but its association with heart failure has not been well studied. We investigated the potential causal association between POU and HF using cohort studies and Mendelian Randomization (MR) analysis. METHODS: Initially, we examined the longitudinal association between POU and HF using the data from the Health and Retirement Study (HRS) and the UK biobank. Next, we employed a two-sample MR analysis using summary statistics from genome-wide association studies (GWAS) to assess the potential causal associations between POU and HF. RESULTS: During a median of 3.8 and 13.8 years of follow-up, there were 441(8.04 per 1000 person-year) and 16,170 (3.96 per 1000 person-year) HF cases in the HRS and the UK biobank, respectively. After adjusting for covariates, participants who used prescription opioids had a 32% increased risk of developing HF, compared with non-users (HR = 1.32, 95%CI: 1.26-1.38, P < 0.001). In the MR analysis, summary statistics for POU were obtained from 78,808 UK Biobank study participants, and summary data for HF were obtained from 218,792 participants of a European population. A causal effect of genetic liability for POU on an increased risk of HF (OR = 1.16, 95% CI = 1.06, 1.27, P = 0.001) was suggested. The results were generally consistent in the sensitivity analysis, and no pleiotropy or heterogeneity were observed. CONCLUSIONS: POU is associated with a high risk of HF. Our findings provide new insight into prescription opioid use among populations at risk of heart failure. More studies are needed to validate our results and further investigate the underlying mechanisms.

The potential DNA methylation markers of cardiovascular disease in patients with type 2 diabetes.

BACKGROUND: DNA methylation is associated with cardiovascular (CV) disease. However, in type 2 diabetes (T2D) patients, the role of gene methylation in the development of CV disease is under-studied. We aimed to identify the CV disease-related DNA methylation loci in patients with T2D and to explore the potential pathways underlying the development of CV disease using a two-stage design. METHODS: The participants were from the Jinan Diabetes Cohort Study (JNDCS), an ongoing longitudinal study designed to evaluate the development of CV risk in patients with T2D. In the discovery cohort, 10 diabetic patients with CV events at baseline were randomly selected as the case group, and another 10 diabetic patients without CV events were matched for sex, age, smoking status, and body mass index as the control group. In 1438 T2D patients without CV disease at baseline, 210 patients with CV events were identified after a mean 6.5-year follow-up. Of whom, 100 patients who experienced CV events during the follow-up were randomly selected as cases, and 100 patients who did not have CV events were randomly selected as the control group in the validation cohort. Reduced representation bisulfite sequencing and Targeted Bisulfite Sequencing were used to measure the methylation profiles in the discovery and validation cohort, respectively. RESULTS: In the discover cohort, 127 DMRs related to CV disease were identified in T2D patients. Further, we validated 23 DMRs mapped to 25 genes, of them, 4 genes (ARSG, PNPLA6, NEFL, and CRYGEP) for the first time were reported. There was evidence that the addition of DNA methylation data improved the prediction performance of CV disease in T2D patients. Pathway analysis identified some significant signaling pathways involved in CV comorbidities, T2D, and inflammation. CONCLUSIONS: In this study, we identified 23 DMRs mapped to 25 genes associated with CV disease in T2D patients, of them, 4 DMRs for the first time were reported. DNA methylation testing may help identify a high CV-risk population in T2D patients.

Antitumor activity of galaxamide involved in cell apoptosis and stemness by inhibiting Wnt/ß-catenin pathway in cervical cancer.

Our previous work reported that galaxamide, a cyclopeptide extracted from the seaweed Galaxaura filamentosa, showed antiproliferative activity against HeLa cells by MTT assay. In this study, the growth-inhibitory effects of galaxamide in HeLa cells and xenograft mouse models were investigated. It was found galaxamide significantly inhibited cell growth, colony formation, migration, and invasion and induced cell apoptosis by inhibiting the Wnt signaling pathway in HeLa cells. RNA sequencing revealed that galaxamide regulated stemness by Wnt6 signaling pathway in HeLa cells. By analyzing The Cancer Genome Atlas database, Wnt6 was found to be negatively/positively correlated with stemness- and apoptosis-related genes in human cervical cancer. Cancer stem-like cells (CSCs) isolated and enriched from HeLa cells demonstrated elevated Wnt6 and ß-catenin genes compared with nonstem HeLa cells. After galaxamide treatment, CSCs showed abrogation of sphere-forming ability, along with inhibition of stemness-related and Wnt pathway genes. Galaxamide treatment was also accompanied by the induction of apoptosis in HeLa cells, which was consistent with the results in BALB/c nude mice. Our results provide evidence that suppression of stemness by downregulating the Wnt signaling pathway is the molecular mechanism by which galaxamide effectively inhibits cell growth and induces apoptosis in cervical cancer cells.

Association between serum calcium level and type 2 diabetes: An NHANES analysis and Mendelian randomization study.

AIMS: This study investigated the association between serum calcium levels and the prevalence of T2D using a cross-sectional study and Mendelian randomization analysis. METHODS: Cross-sectional data were obtained from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018. Serum calcium levels were divided into three groups (low, medium and high groups) according to the tertiles. Logistic regression was used to estimate the association between serum calcium levels and T2D prevalence. Instrumental variables for serum calcium levels were obtained from the UK Biobank and a two-sample MR analysis was performed to examine the causal relationship between genetically predicted serum calcium levels and the risk of T2D. RESULTS: A total of 39,645 participants were available for cross-sectional analysis. After adjusting for covariates, participants in the high serum calcium group had significantly higher odds of T2D (OR = 1.18, 95% CI = 1.07, 1.30, p = 0.001) than those in the moderate group. Restricted cubic spline plots showed a J-shaped curve relationship between serum calcium level and prevalence of T2D. Consistently, Mendelian randomization analysis showed that higher genetically predicted serum calcium levels were causally associated with a higher risk of T2D (OR = 1.16, 95% CI: 1.01, 1.33, p = 0.031). CONCLUSIONS: The results of this study suggest that higher serum calcium levels are causally associated with a higher risk of T2D. Further studies are needed to clarify whether intervening in high serum calcium could reduce the risk of T2D.

Tumor-Derived Oxidative Stress Triggers Ovarian Follicle Loss in Breast Cancer.

Breast cancer is a common indication for ovarian cryopreservation. However, whether the grafting ovarian tissue meets functional requirements, as well as the need for additional interventions, remains unclear. The current study demonstrates abnormal serum hormones in breast cancer in humans and breast cancer cell line-derived tumor-bearing mice, and for the first time shows tumor-induced loss of primordial and growing follicles, and the number of follicles being lost to either growth or atresia. A gene signature of tumor-bearing mice demonstrates the disturbed regulatory network of steroidogenesis, which links to mitochondria dysfunction in oocytes and granulosa cells via the phosphatidylinositol 3-kinase signaling pathway. Notably, increased reactive oxygen species were identified in serum and ovarian tissues in tumor-bearing mice. Furthermore, supplementation with vitamin C promoted follicular quiescence, repairing tumor-induced follicle loss via inactivation of the phosphatidylinositol 3-kinase-Akt-mammalian target of rapamycin pathway, indicating the potential of antioxidants as a fertility therapy to achieve higher numbers of healthy follicles ready for ovarian cryopreservation.

SIRT1 upregulation promotes epithelial-mesenchymal transition by inducing senescence escape in endometriosis.

Endometrial epithelial cells carry distinct cancer-associated alterations that may be more susceptible to endometriosis. Mouse models have shown that overexpression of SIRT1 associated with oncogene activation contributes to the pathogenesis of endometriosis, but the underlying reason remains elusive. Here, we used integrated systems biology analysis and found that enrichment of endometrial stromal fibroblasts in endometriosis and their cellular abundance correlated negatively with epithelial cells in clinical specimens. Furthermore, endometrial epithelial cells were characterized by significant overexpression of SIRT1, which is involved in triggering the EMT switch by escaping damage or oncogene-induced induced senescence in clinical specimens and in vitro human cell line models. This observation supports that genetic and epigenetic incident favors endometrial epithelia cells escape from senescence and fuel EMT process in endometriosis, what could be overcome by downregulation of SIRT1.

SIRT1 regulates trophoblast senescence in premature placental aging in preeclampsia.

INTRODUCTION: Premature placental aging is implicated in a number of complications of pregnancy including preeclampsia. A placenta knockout mouse model has shown a relationship between SIRT1, aging and placental dysfunction. The role of SIRT1 in cellular senescence has been extensively studied in various cell types, but its role in trophoblast senescence is almost unknown. METHODS: Human placental samples were obtained from preeclampsia-affected women and healthy controls. The placental aging profiles were assessed by Doppler ultrasound, placental histopathology, and evaluation of senescence- and ECM-related markers. The SIRT1 expression pattern relevant to placental aging profiles was studied in premature aging placenta with preeclampsia (32-37 weeks gestation, n = 10) and healthy controls (37-40 weeks gestation, n = 10). Using cell culture, the effects of activation and knockdown of SIRT1 or its downstream target molecules in syncytialized BeWo cells were evaluated. RESULTS: SIRT1 was expressed by syncytiotrophoblast across normal gestation. In preeclamptic premature aging placentas, SIRT1 was significantly downregulated, while senescence- and extracellular matrix (ECM) -related protein levels were upregulated compared to controls. Immunohistochemistry showed these changes to be confined to syncytiotrophoblast. In vitro, SIRT1 activation in response to resveratrol (RSV) abrogated senescence in forskolin-induced syncytialization of BeWo cells via regulation of senescence- and ECM-related proteins, and filamentous actin (F-actin). These effects were restored by SIRT1 siRNA. DISCUSSION: The downregulation of SIRT1 may accelerate senescence of syncytiotrophoblast via targets contributing to regulation of the cell cycle, ECM production and cytoskeleton reorganization leading to premature placental aging observed in preeclampsia.

Comparative Analysis of the Volatile Components of Agrimonia eupatoria from Leaves and Roots by Gas Chromatography-Mass Spectrometry and Multivariate Curve Resolution.

Gas chromatography-mass spectrometry and multivariate curve resolution were applied to the differential analysis of the volatile components in Agrimonia eupatoria specimens from different plant parts. After extracted with water distillation method, the volatile components in Agrimonia eupatoria from leaves and roots were detected by GC-MS. Then the qualitative and quantitative analysis of the volatile components in the main root of Agrimonia eupatoria was completed with the help of subwindow factor analysis resolving two-dimensional original data into mass spectra and chromatograms. 68 of 87 separated constituents in the total ion chromatogram of the volatile components were identified and quantified, accounting for about 87.03% of the total content. Then, the common peaks in leaf were extracted with orthogonal projection resolution method. Among the components determined, there were 52 components coexisting in the studied samples although the relative content of each component showed difference to some extent. The results showed a fair consistency in their GC-MS fingerprint. It was the first time to apply orthogonal projection method to compare different plant parts of Agrimonia eupatoria, and it reduced the burden of qualitative analysis as well as the subjectivity. The obtained results proved the combined approach powerful for the analysis of complex Agrimonia eupatoria samples. The developed method can be used to further study and quality control of Agrimonia eupatoria.

Identification and determination of flavonoids in astragali radix by high performance liquid chromatography coupled with DAD and ESI-MS detection.

A method for the analysis of flavonoids in Astragali Radix by high-performance liquid chromatography (HPLC) combined with photodiode-array detection (DAD) and an electrospray ionization (ESI)--mass spectrometry (MS) was developed. After the samples were extracted with ethanol, the optimum separation conditions for these analytes were achieved using a gradient elution system and a 2.0 x 150 mm Shimadzu VP-ODS column. Eight flavonoids were identified to exist in Astragali Radix based on their characteristic UV data and mass spectra. The concentrations of three major components in this herb--ononin, calycosin and formononetin--were determined by LC/ESI-MS in positive selective ion monitoring (SIM) mode. The calibration curves were linear in the range of 0.9~180.0 µg·mL⁻¹ for ononin, 1.8~360.0 µg·mL⁻¹ for calycosin and 1.4~280 µg·mL⁻¹ for formononetin, respectively. The limits of quantification (LOQ) and detection (LOD) were 0.9 µg· mL⁻¹ and 0.2 µg mL⁻¹ for ononin, 1.8 µg mL⁻¹ and 0.5 µg·mL-1 for calycosin, 1.4 µg mL⁻¹ and 0.5 µg·mL⁻¹ for formononetin, respectively. The standard recoveries were between 95.4~104.7%. The developed method was proven to be useful for the quantitative and qualitative analysis of flavonoid constituents in various resources of Astragali Radix.

Determination of the volatile constituents in radix Flemingiae Philippinensis by GC-MS and a heuristic evolving latent projection method.

With the help of chemometric resolution methods, a technique for qualitative and quantitative determination of the volatile chemical constituents in radix Flemingiae Philippinensis by chromatography-mass spectrometry was developed. After the overlapping chromatographic peaks were resolved into pure chromatograms and spectra using a heuristic evolving latent projections (HELP) method, qualitative analysis was performed by similarity search of the obtained pure mass spectrum of each component in the NIST library and the quantitative results were obtained by calculating the total two-way response volume. A total of 63 components were separated and 55 components were identified, accounting for 90.62% of the total content. The main components were farnesol isomer and beta-caryophyllene, accounting for 31.33% and 12.60% of the total content, respectively. The obtained results can provide useful information for further study and development of radix Flemingiae Philippinensis.

Analysis of the main nucleosides in Cordyceps sinensis by LC/ESI-MS.

A sensitive, selective and reliable liquid chromatography-mass spectrometry coupled with electrospray ionization interface method for simultaneous separation and determination of thymine, adenine, adenosine and cordycepin in Cordyceps sinensis has been established. The optimum separation for these analytes was achieved using a gradient elution system and a 2.0 x 150 mm Shimadzu VP-ODS column. 2-Chloroadenosine was used as internal standard for this assay. [M+H]+ ions at m/z 127, 136, 268, 252 and 302 were chosen and selective ion monitoring (SIM) mode was used for quantitative analysis of the four main nucleosides. The regression equations were linear in the range of 1.0-117.5 microg x mL(-1) for thymine, 1.8-127.0 microg x mL(-1) for adenine, 0.6-114.0 microg x mL(-1) for adenosine and 0.5-107.5 microg x mL(-1) for cordycepin. The limits of quantitation (LOQ) and detection (LOD) were 1.0 and 0.2 microg x mL(-1) for thymine, 1.8 and 0.6 microg x mL(-1) for adenine, 0.6 and 0.1 microg x mL(-1) for adenosine and 0.5 and 0.1 microg x mL(-1) for cordycepin, respectively. The recoveries of the four nucleosides ranged from 98.47 to 99.32%. The developed method was successfully used to determine nucleosides in Cordyceps sinensis from different sources.