Vessel heterogeneity of TIMI frame count and its relation to P-wave dispersion in patients with coronary slow flow

Myeloid-specific knockout of Notch-1 inhibits MyD88- and TRIF-mediated TLR signaling pathways by regulating oxidative stress-SHP2 axis, thus restraining aneurysm progression

OBJECTIVE

Notch-1 is a signal regulatory protein with extensive effects in myeloid cells, but its role in aneurysms remains to be fully clarified. In this study, therefore, the aneurysm mouse model with myeloid-specific knockout of Notch-1 was established to observe the role of Notch-1 in aneurysm progression.

METHODS AND RESULTS

The effect of Notch-1 was assessed by pathological staining and Western blotting. It was found that after myeloid-specific knockout of Notch-1 in the aneurysm mouse model, the area of aneurysms and the macrophage infiltration were significantly reduced, the damage to arterial elastic plates was significantly relieved, and the oxidative stress level significantly declined. The results of Western blotting showed that after myeloid-specific knockout of Notch-1, the levels of oxidative stress-related proteins p22 and p47 in aneurysm tissues significantly declined, accompanied by a significant increase in the protein level of Src homology 2 domain-containing tyrosine phosphatase-2 (SHP2). In addition, the levels of phosphorylated myeloid differential protein-88 (MyD88), TIR domain-containing adaptor-inducing interferon-β (TRIF) and nuclear factor-κB (NF-κB), and inflammatory cytokines interferon-γ (IFN-γ), interleukin-1β (IL-1β) and tumor necrosis factor-α (TNF-α) also significantly decreased after myeloid-specific knockout of Notch-1. Following myeloid-specific knockout of Notch-1, the phagocytic capacity of macrophages was enhanced by promoting the SHP2 signaling pathway.

CONCLUSION

Notch-1 in monocytes/macrophages can activate the Toll-like receptor (TLR)-mediated inflammatory and stress responses by activating oxidative stress and inhibiting the SHP2 protein expression, thus facilitating aneurysm progression.

Galectin-3 Modulates Macrophage Activation and Contributes Smooth Muscle Cells Apoptosis in Abdominal Aortic Aneurysm Pathogenesis

Galectin-3 (Gal-3) is a 26-kDa lectin that regulates many aspects of inflammatory cell behavior. We assessed the hypothesis that increased levels of Gal-3 contribute to abdominal aortic aneurysm (AAA) progression by enhancing monocyte chemoattraction through macrophage activation. We analyzed the plasma levels of Gal-3 in 76 patients with AAA (AAA group) and 97 controls (CTL group) as well as in angiotensin II (Ang-II)-infused ApoE knockout mice. Additionally, conditioned media (CM) were used to polarize THP-1 monocyte to M1 macrophages with or without Gal-3 inhibition through small interfering RNA targeted deletion to investigate whether Gal-3 inhibition could attenuate macrophage-induced inflammation and smooth muscle cell (SMC) apoptosis. Our results showed a markedly increased expression of Gal-3 in the plasma and aorta in the AAA patients and experimental mice compared with the CTL group. An in vitro study demonstrated that the M1 cells exhibited increased Gal-3 expression. Gal-3 inhibition markedly decreased the quantity of macrophage-induced inflammatory regulators, including IL-8, TNF-α, and IL-1β, as well as messenger RNA expression and MMP-9 activity. Moreover, Gal-3-deficient CM weakened SMC apoptosis through Fas activation. These findings prove that Gal-3 may contribute to AAA progression by the activation of inflammatory macrophages, thereby promoting SMC apoptosis.

Could neutrophil/lymphocyte ratio be an indicator of coronary artery disease, coronary artery ectasia and coronary slow flow?

Objective

To determine whether neutrophil/lymphocyte ratio (NLR) differed between patients with isolated coronary artery disease (CAD), isolated coronary artery ectasia (CAE), coronary slow flow and normal coronary anatomy.

Methods

Patients who underwent coronary angiography were consecutively enrolled into one of four groups: CAD, coronary slow flow, CAE and normal coronary anatomy.

Results

The CAD (n = 40), coronary slow flow (n = 40), and CAE (n = 40) groups had similar NLRs (2.51 ± 0.7, 2.40 ± 0.8, 2.6 ± 0.6, respectively) that were significantly higher than patients with normal coronary anatomy (n = 40; NLR, 1.73 ± 0.7). Receiver operating characteristics demonstrated that with NLR > 2.12, specificity in predicting isolated CAD was 85% and sensitivity was 75%, with NLR > 2.22 specificity in predicting isolated CAE was 86% and sensitivity was 75%. With NLR > 1.92, specificity in predicting coronary slow flow was 89% and sensitivity was 75%. Multivariate logistic regression analyses identified NLR as an independent predictor of isolated CAE (β = −0.499, 95% CI −0.502, −0.178; P <  0.001), CAD (β = −0.426, 95% CI −1.321, −0.408; P <  0.001), and coronary slow flow (β = −0.430, 95% CI −0.811, −0.240; P = 0.001 Table 2).

Conclusions

NLR was higher in patients with CAD, coronary slow flow and CAE versus normal coronary anatomy. NLR may be an indicator of CAD, CAE and coronary slow flow.