Microvascular disease, modifiable risk factor profiles and incident arrhythmias in type 2 diabetes.

BACKGROUND: To assess the roles of diabetic microvascular disease and modifiable risk factors and their combination in the development of arrhythmias. METHODS: We included participants with type 2 diabetes (T2D) who were free of arrhythmias during recruitment in the UK Biobank study. The associations of microvascular disease states (defined by the presence of retinopathy, peripheral neuropathy or chronic kidney disease), four modifiable arrhythmic risk factors (body mass index, smoking, systolic blood pressure and glycosylated haemoglobin) and their joint associations with incident arrhythmias were examined. RESULTS: Among the 25 632 participants with T2D, 1705 (20.1%) of the 8482 with microvascular disease and 2017 (11.8%) of the 17 150 without microvascular disease developed arrhythmias during a median follow-up of 12.3 years. Having any of the three microvascular diseases was associated with a 48% increase in the hazard of developing arrhythmias. Incorporating microvascular disease states into a model alongside 11 traditional risk factors significantly enhanced arrhythmia prediction. Furthermore, individuals with microvascular disease who had optimal levels of zero to one, two, three or four arrhythmic risk factors showed an HR of 2.05 (95% CI 1.85, 2.27), 1.67 (95% CI 1.53, 1.83), 1.35 (95% CI 1.22, 1.50) and 0.91 (95% CI 0.73, 1.13), respectively, compared with those without microvascular disease. CONCLUSIONS: Although microvascular disease, a non-traditional risk factor, was associated with incident arrhythmias in individuals with T2D, having optimal levels of risk factors may mitigate this risk.

Microvascular Disease, Cardiovascular Health, and Risk of Coronary Heart Disease in Type 2 Diabetes: A UK Biobank Study.

CONTEXT: The interplay between cardiovascular health metrics (CVHMs) and microvascular disease (MVD) in relation to the risk of incident coronary heart disease (CHD) among individuals with type 2 diabetes mellitus (T2DM) remains to be evaluated. OBJECTIVE: To investigate the role of MVD and CVHMs in the development of CHD among T2DM. DESIGN: We included 19,664 participants with T2DM from the UK Biobank who had data on CVH metrics (CVHMs) and were free of CHD during recruitment. CVHMs were defined based on five behavioral (body mass index, diet, sleep duration, smoking, and regular exercise) and three biological factors (glycemic control, hyperlipidemia, and hypertension). MVD was defined as the presence of retinopathy, peripheral neuropathy, and chronic kidney disease. HR and 95% CI of CHD were estimated by multivariable Cox regression models. RESULTS: There were 3,252 incident cases of CHD recorded after a median follow-up of 12.3 years. After multivariable adjustment, each MVD was separately associated with risk of CHD, and those who had 1 or ≥2 MVD had a 27% and an 87% increased risk of developing CHD, respectively. Each of the unfavorable CVHMs was associated with a higher risk of CHD. As compared with MVD-free participants who had ideal CVHMs, those who had ≥2 MVD and had poor CVHMs were at particularly high risk of incident CHD (HR=4.58; 95% CI: 3.58, 5.86), similarly when considering behavioral CVH or biological CVH separately. On an additive scale, there was a positive statistically significant interaction between number of MVD and CVHMs. CONCLUSIONS: Coexistence of multiple MVDs was associated with a substantially higher risk of CHD among individuals with T2DM. Such an association may be amplified by unfavorable CVHMs.

Associations of blood biomarkers with arterial stiffness in patients with diabetes mellitus: A population-based study.

BACKGROUND: Arterial stiffness contributes to additional cardiovascular risks in diabetic patients by triggering the loss of vascular and myocardial compliance and promoting endothelial dysfunction. Thus, prevention of arterial stiffness is a public health priority, and the identification of potential biomarkers may provide benefits for early prevention. This study investigates the relationships between serum laboratory tests and pulse wave velocity (PWV) tests. We also investigated the associations between PWV and all-cause mortality. METHODS: We examined a panel of 33 blood biomarkers among diabetic populations in the Atherosclerosis Risk in Communities Study. The carotid-femoral (cfPWV) and femoral-ankle PWV (faPWV) were measured using an automated cardiovascular screening device. The aortic-femoral arterial stiffness gradient (afSG) was calculated as faPWV divided by cfPWV. Biomarker levels were log-transformed and correlated with PWV. Cox proportional hazard models were employed for survival analysis. RESULTS: Among 1079 diabetic patients, biomarkers including high-density lipoprotein cholesterol, glycated hemoglobin, high-sensitivity troponin T, cystatin C, creatinine, and albuminuria were significantly correlated with afSG (R = 0.078, -0.193, -0.155, -0.153, -0.116, and -0.137, respectively) and cfPWV (R = -0.068, 0.175, 0.128, 0.066, 0.202, and 0.062, respectively). Compared with the lowest tertile of afSG, the risk of all-cause mortality was lower in the highest tertile (hazard ratio 0.543; 95% confidence interval 0.328-0.900). CONCLUSION: Certain biomarkers related to blood glucose monitoring, myocardial injury, and renal function significantly correlated with PWV, suggesting that these putative risk factors are likely to be important atherosclerosis mechanisms in diabetic patients. AfSG may be an independent predictor of mortality among diabetic populations.

The independent and joint association of accelerometer-measured physical activity and sedentary time with dementia: a cohort study in the UK Biobank.

BACKGROUND: Research on the association of physical activity and sedentary time with dementia is accumulating, though elusive, and the interaction effects of the two remain unclear. We analysed the joint associations of accelerometer-measured physical activity and sedentary time with risk of incident dementia (all-cause dementia, Alzheimer's disease and vascular dementia). METHODS: A total of 90,320 individuals from the UK Biobank were included. Accelerometer-measured total volume of physical activity (TPA) and sedentary time were measured at baseline and dichotomised by median (low TPA [< 27 milli-gravity (milli-g)], high TPA [≥ 27 milli-g]; low sedentary time [< 10.7 h/day], high sedentary time [≥ 10.7 h/day]). Cox proportional hazards models were used to evaluate the joint associations with incident dementia on both additive and multiplicative scales. RESULTS: During a median follow-up of 6.9 years, 501 cases of all-cause dementia were identified. Higher TPA was associated with a lower risk of all-cause dementia, Alzheimer's disease and vascular dementia; the multivariate adjusted hazard ratios (HRs) (95% CI) per 10 milli-g increase were 0.63 (0.55-0.71), 0.74 (0.60-0.90) and 0.69 (0.51-0.93), respectively. Sedentary time was only found to be linked to all-cause dementia, and the HR for high sedentary time was 1.03 (1.01-1.06) compared with that for low sedentary time. No additive and multiplicative relationship of TPA and sedentary time to incident dementia was found (all P values > 0.05). CONCLUSION: Higher TPA level was related to a lower risk of incident dementia irrespective of sedentary time, which highlighted the implication of promoting physical activity participation to counteract the potential detrimental effect of sedentary time on dementia.

[Building of a Clinical Prediction Model for Hemodynamic Depression after Carotid Artery Stenting].

Objective To analyze the risk factors and build a clinical prediction model for hemodynamic depression (HD) after carotid artery stenting (CAS). Methods A total of 116 patients who received CAS in the Department of Vascular Surgery,Drum Tower Clinical College of Nanjing Medical University and the Department of Vascular Surgery,the Affiliated Suqian First People's Hospital of Nanjing Medical University from January 1,2016 to January 1,2022 were included in this study.The patients were assigned into a HD group and a non-HD group.The clinical baseline data and vascular disease characteristics of each group were collected,and multivariate Logistic regression was employed to identify the independent predictors of HD after CAS and build a clinical prediction model.The receiver operating characteristic (ROC) curve was drawn,and the area under the ROC curve (AUC) was calculated to evaluate the predictive performance of the model. Results The HD group had lower proportions of diabetes (P=0.014) and smoking (P=0.037) and higher proportions of hypertension (P=0.031),bilateral CAS (P=0.018),calcified plaque (P=0.001),eccentric plaque (P=0.003),and the distance<1 cm from the minimum lumen level to the carotid bifurcation (P=0.009) than the non-HD group.The age,sex,coronary heart disease,symptomatic carotid artery stenosis,degree of stenosis,and length of lesions had no statistically significant differences between the HD group and the non-HD group (all P>0.05).Based on the above predictive factors,a clinical prediction model was established,which showed the AUC of 0.807 and the 95% CI of 0.730-0.885 (P<0.001).The model demonstrated the sensitivity of 62.7% and the specificity of 87.7% when the best cut-off value of the model score reached 12.5 points. Conclusions Diabetes,smoking,calcified plaque,eccentric plaque,and the distance<1 cm from the minimum lumen level to the carotid bifurcation are independent predictors of HD after CAS.The clinical prediction model built based on the above factors has good performance in predicting the occurrence of HD after CAS.

Long-term exposure to air pollution and risk of incident inflammatory bowel disease among middle and old aged adults.

BACKGROUND: Epidemiological evidence regarding the associations between long-term exposure to air pollution and risk of incident inflammatory bowel disease (IBD) is scant. OBJECTIVES: We examined the associations of various specific air pollutants with the risk of incident ulcerative colitis and Crohn's disease, two subtypes of IBD, among middle and old aged adults in the UK. We also explored potential susceptible subgroups. METHODS: We used data from the UK Biobank study. Information on air pollution, including PM2.5, PM2.5-10, PM10 as well as NO2 and NOx were estimated using the Land Use Regression model. Multivariable Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: After a median follow-up of 11.7 years, 1872 incident ulcerative colitis and 865 incident Crohn's disease cases were identified among 455,210 IBD-free participants. HRs (95% CIs) of ulcerative colitis associated with each 1 interquartile range (IQR) increase in PM2.5, PM2.5-10, PM10, NO2, and NOx were 1.06 (1.01, 1.12), 1.03 (0.99, 1.08), 1.09 (1.03, 1.16), 1.12 (1.07, 1.19), and 1.07 (1.02, 1.12), respectively. The associations between all the air pollutants and risk of Crohn's disease were null. Smoking status and sex appeared to respectively modify the associations between some air pollutants and risk of ulcerative colitis and Crohn's disease. CONCLUSION: Long-term exposure to various air pollutants was associated with the risk of incident ulcerative colitis but not Crohn's disease, highlighting the importance of developing environmental health strategy to reduce the burden of ulcerative colitis.

The complete chloroplast genome sequence of Libanotis buchtormensis (Apiaceae).

Libanotis buchtormensis (Fisch.) DC. is one of the traditional Chinese herbal medicines in the Qinling District, while the genetic information is limited. In the study, we reported the complete chloroplast genome of L. buchtormensis using BGISEQ-500 sequencing data. The complete chloroplast genome was 147,036 bp in length with a GC content of 37.6%, consisting of four parts, namely LSC (91,969 bp), SSC (17,469 bp), and two IRs (18,799 bp in each). The cp genome contained 127 genes, including 83 CDS genes, 36 tRNA genes, and 8 rRNA genes. The phylogenetic analysis showed that L. buchtormensis was sister to Ledebouriella seseloides.

NIMA related kinase 2 promotes gastric cancer cell proliferation via ERK/MAPK signaling.

BACKGROUND: NIMA related kinase 2 (NEK2) is closely related to mitosis, and it is currently considered to be over-expressed frequently in many poorly prognostic cancers. However, the effect of the up-regulated NEK2 on cellular signaling in tumors, such as gastric cancer (GC), is con-fusing. AIM: To determine the role of the up-regulation of NEK2 in GC. METHODS: To investigate the pathological significance of NEK2 in GC, the expression pattern of NEK2 in GC was investigated based on the "Oncomain" database and compared between 30 pairs of cancer samples and adjacent tissues. The co-expression of NEK2 and ERK in GC was analyzed using The Cancer Genome Atlas (TCGA) database and confirmed in clinical samples by quantitative real-time PCR (qRT-PCR), and the survival curve was also plotted. Western blot or qRT-PCR was used to analyze the effect of NEK2 on the phosphorylation levels of ERK and c-JUN in two GC cell lines (BGC823 and SGC7901) with NEK2 overexpression, and the expression of the downstream effector cyclin D1. Furthermore, CCK8, EdU incorporation assay, and flow cytometry were used to detect the proliferative ability of BGC823 and SGC7901 cells with stably silenced ERK. RESULTS: NEK2 was significantly up-regulated in human GC tissues. ERK was significantly associated with NEK2 expression in human clinical specimens, and combined overexpression of NEK2 and ERK potentially forecasted a poor prognosis and survival in GC patients. NEK2 knockdown in GC cells inhibited ERK and c-JUN phosphory-lation and reduced the transcription of cyclin D1. More interestingly, NEK2 can rescue the inhibition of cellular viability, proliferation, and cell cycle progression due to ERK knockdown. CONCLUSION: Our results indicate that NEK2 plays a carcinogenic role in the malignant proliferation of GC cells via the ERK/MAPK signaling, which may be important for treatment and improving patient survival.

Transcription factor glioma-associated oncogene homolog 1 is required for transforming growth factor-ß1-induced epithelial-mesenchymal transition of non-small cell lung cancer cells.

Epithelial­mesenchymal transition (EMT) is the process by which epithelial cells depolarize and acquire a mesenchymal phenotype, and is a common early step in the process of metastasis. Patients with lung cancer frequently already have distant metastases when they are diagnosed, highlighting the requirement for early and effective interventions to control metastatic disease. Transforming growth factor­ß1 (TGF­ß1) is able to induce EMT, however the molecular mechanism of this remains unclear. In the current study, TGF­ß1 was reported to induce EMT and promote the migration of non­small cell lung cancer (NSCLC) cells. A notable observation was that EMT induction was accompanied by the upregulation of human glioma­associated oncogene homolog 1 (Gli1) mRNA and protein levels. Furthermore, Gli1 levels were depleted by small interfering RNA, and the Gli1 inhibitor GANT 61 attenuated the TGF­ß1­mediated induction of EMT and cell migration. The results of the current study suggest that Gli1 regulates TGF­ß1­induced EMT, which may provide a novel therapeutic target to inhibit metastasis in patients with NSCLC.

Bioinformatics analysis reveals connection of squamous cell carcinoma and adenocarcinoma of the lung.

Squamous cell carcinoma and adenocarcinoma are the major histological types of non-small cell lung cancer. Because they differ on the basis of histopathological and clinical characteristics and their relationship with smoking, their etiologies may be different; for example, different tumor suppressor genes may be related to the genesis of each type. We used microarray data to construct three regulatory networks to identify potential genes related to lung adenocarcinoma and squamous cell carcinoma and investigated the similarity and specificity of them. In the network, some of the observed transcription factors and target genes had been previously proven to be related to lung adenocarcinoma and squamous cell carcinoma. We also found some new transcription factors and target genes related to SCC. The results demonstrated that regulatory network analysis is useful in connection analysis between lung adenocarcinoma and squamous cell carcinoma.