Comparison of Shear Stress-Induced Thrombotic and Thrombolytic Effects Among 3 Different Antithrombotic Regimens in Patients With Acute Coronary Syndrome

HAND2-AS1 associates with outcomes of acute coronary syndrome and regulates cell viability of vascular endothelial cells

OBJECTIVE

Acute coronary syndrome (ACS) is an emergency and severe disorder of the cardiovascular system. This paper assessed the expression of plasma HAND2-AS1 in patients with ACS, researched its diagnostic and prognostic significance, and studied its possible mechanism for participating in ACS.

METHODS

The concentration of HAND2-AS1 of 101 included patients with ACS was certified by qRT-PCR and its possible diagnostic function was revealed by the receiver operating characteristic (ROC) curve. All patients were followed up for 6 months after percutaneous coronary intervention (PCI) therapy and Kaplan-Meier (K-M) curve and COX regression analysis was performed to estimate the short-term prognostic value of HAND2-AS1 in ACS. The interrelationship between HAND2-AS1 and Gensini score and endothelial injury was identified via Pearson correlation. The function of HAND2-AS1 on the viability, migration, and apoptosis of human umbilical vein endothelial cells (HUVECs) was estimated by the Cell Counting Kit-8 (CCK-8), Transwell chamber, and flow cytometry.

RESULTS

In ACS patients, the expression of serum HAND2-AS1 was prominently decreased and closely correlated with the Gensini score. The decreased HAND2-AS1 expression was of diagnostic significance. Declined plasma HAND2-AS1 was observed in patients with the major adverse cardio-cerebrovascular event (MACCE) and was an independent risk for the poor prognosis of ACS patients. In the cell model, upregulation of HAND2-AS1 improved cell viability and migration and inhibited cell apoptosis.

CONCLUSION

HAND2-AS1 was an independent biomarker for the diagnosis and prognosis of ACS. HAND2-AS1 might be involved in ACS development by regulating endothelial damage.

How the mechanical microenvironment of stem cell growth affects their differentiation: a review

Stem cell differentiation is of great interest in medical research; however, specifically and effectively regulating stem cell differentiation is still a challenge. In addition to chemical factors, physical signals are an important component of the stem cell ecotone. The mechanical microenvironment of stem cells has a huge role in stem cell differentiation. Herein, we describe the knowledge accumulated to date on the mechanical environment in which stem cells exist, which consists of various factors, including the extracellular matrix and topology, substrate stiffness, shear stress, hydrostatic pressure, tension, and microgravity. We then detail the currently known signalling pathways that stem cells use to perceive the mechanical environment, including those involving nuclear factor-kB, the nicotinic acetylcholine receptor, the piezoelectric mechanosensitive ion channel, and hypoxia-inducible factor 1α. Using this information in clinical settings to treat diseases is the goal of this research, and we describe the progress that has been made. In this review, we examined the effects of mechanical factors in the stem cell growth microenvironment on stem cell differentiation, how mechanical signals are transmitted to and function within the cell, and the influence of mechanical factors on the use of stem cells in clinical applications.

The association between platelet indices and cardiovascular events in chronic kidney disease patients without dialysis

PURPOSE

Previous studies have indicated that platelet indices are related to the pathogenesis of cardiovascular diseases (CVD). However, it is unclear which platelet-related indicators are associated with CVD events in patients with chronic kidney disease (CKD) without dialysis.

METHODS

We performed a single-center prospective cohort study involved 1391 CKD patients to explore the relationship between platelet indices and CVD events in CKD patients. A nomogram was generated to predict CVD-free survival after 3 and 5 years of follow-up in terms of the fitted Cox regression model. And the time-dependent receiver-operating characteristic (ROC) curves were applied to evaluate the prediction accuracy of platelet indices on CVD events.

RESULTS

During a median follow-up of 3.41 years, 211 (15.2%) patients experienced CVD events. Results showed that platelet counts (PLT), plateletcrit (PCT), platelet-large cell ratio (P-LCR), and platelet distribution width (PDW) among 5 platelet indices were significantly lower in advanced CKD stages. Cox regression model showed that PLT, PDW, and PCT were associated with CVD events. However, after multivariable-adjusted, low level of PLT, hazard ratio (HR) 0.994 and 95% confidence interval (95% CI 0.989-1.000, p = 0.04), and PDW, HR 0.936 (95% CI 0.878-0.998, p = 0.044) predicted CVD events. The area under the ROC curve (AUC) of platelet indices assessed by time-dependent ROC curve analysis showed that only PLT and PDW were significant for predicting CVD events for 5 years.

CONCLUSIONS

We demonstrated that PLT and PDW among 5 platelet indices were independently associated with CVD events in patients with CKD.