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In the current study, we aimed to study the effect of miR-146a on proliferation and migration in an in vitro diabetic foot ulcer (DFU) model by targeting A-kinase-anchoring protein 12 (AKAP12). An in vitro DFU model was initially established using HaCaT cells derived from human keratinocytes and induced by advanced glycation end products (AGEs). The effects of overexpression of miR-146a on proliferation and migration ability were analysed. The expression levels of miR-146a and AKAP12 were measured by quantitative real-time polymerase chain reaction (qRT-PCR), and AKAP12, hypoxia-inducible factor-1α (HIF-1α), Wnt3a and β-catenin protein levels were measured by western blotting. The cell proliferation ability was measured by MTT, and the migration ability was analysed by a cell scratch assay. The binding between miR-146a and AKAP12 was identified using a luciferase reporter assay. The results demonstrated that AGEs significantly suppressed cell proliferation and migration, while the expression of miR-146a decreased and the expression of AKAP12 increased. A luciferase reporter assay revealed that miR-146a could directly target AKAP12. Overexpression of miR-146a promoted cell proliferation and migration in an in vitro DFU model and also promoted the expression of HIF-1α, Wnt3a and β-catenin but suppressed the expression of AKAP12. Co-overexpression of miR-146a and AKAP12 reversed the effect of miR-146a on cell proliferation and migration. Our findings revealed that miR-146a directly targeted AKAP12 and promoted cell proliferation and migration in an in vitro DFU model. This study provides a new perspective for the study of miR-146a in the treatment of DFU.

This study aimed to compare the percentage attainment of fasting and non-fasting LDL-C and non-HDL-C target levels in coronary heart disease (CHD) patients receiving short-term statin therapy. This study enrolled 397 inpatients with CHD. Of these, 197 patients took statins for <1 month (m) or did not take any statin before admission (CHD1 group), while 204 patients took statins for ≥1 m before admission (CHD2 group). Blood lipid levels were measured at 0, 2, and 4 h after a daily breakfast. Non-fasting LDL-C and non-HDL-C levels significantly decreased after a daily meal (P < 0.05). Both fasting and non-fasting LDL-C or non-HDL-C levels were significantly lower in the CHD2 group. The percentage attainment of LDL-C <1.4 mmol/L at 2 and 4 h after a daily breakfast was significantly higher than that during fasting (P < 0.05), but the percent attainment of non-fasting non-HDL-C <2.2 mmol/L was close to its fasting value (P > 0.05). Analysis of c-statistic showed that non-fasting cut-off points for LDL-C and non-HDL-C were 1.19 and 2.11 mmol/L, corresponding to their fasting goal levels of 1.4 and 2.2 mmol/L, respectively. When post-prandial LDL-C and non-HDL-C goal attainments were re-evaluated using non-fasting cut-off points, there were no significant differences in percentage attainment between fasting and non-fasting states. Non-HDL-C is more stable than LDL-C in assessing the percent attainment of non-fasting lipid for coronary heart disease patients. If we want to use LDL-C to assess the percent attainment of post-prandial blood lipids, we may need to determine a lower non-fasting cut-off point.

Background: Hypertension (HBP) is usually accompanied by hypertriglyceridemia that represents the increased triglyceride-rich lipoproteins and cholesterol content in remnant lipoproteins [i.e., remnant cholesterol (RC)]. According to the European Atherosclerosis Society (EAS), high RC (HRC) is defined as fasting RC ≥0.8 mmol/L and/or postprandial RC ≥0.9 mmol/L. However, little is known about postprandial change in RC level after a daily meal in Chinese patients with HBP.Methods: One hundred thirty-five subjects, including 90 hypertensive patients (HBP group) and 45 non-HBP controls (CON group), were recruited in this study. Serum levels of blood lipids, including calculated RC, were explored at 0, 2, and 4 h after a daily breakfast. Receiver operating characteristic (ROC) curve analysis was used to determine the cutoff point of postprandial HRC.Results: Fasting TG and RC levels were significantly higher in the HBP group (P < 0.05), both of which increased significantly after a daily meal in the two groups (P < 0.05). Moreover, postprandial RC level was significantly higher in the HBP group (P < 0.05). ROC curve analysis showed that the optimal cutoff point for RC after a daily meal to predict HRC corresponding to fasting RC of 0.8 mmol/L was 0.91 mmol/L, which was very close to that recommended by the EAS, i.e., 0.9 mmol/L. Fasting HRC was found in 31.1% of hypertensive patients but not in the controls. According to the postprandial cutoff point, postprandial HRC was found in approximately half of hypertensive patients and ~1-third of the controls.Conclusion: Postprandial RC level increased significantly after a daily meal, and hypertensive patients had higher percentage of HRC at both fasting and postprandial states. More importantly, the detection of postprandial lipids could be helpful to find HRC.