Abdominal aortic aneurysms (AAA) are characterized by extensive extracellular matrix (ECM) fragmentation and inflammation. However, the mechanisms by which these events are coupled thereby fueling focal vascular damage are undefined. Here we report through single-cell RNA-sequencing of diseased aorta that the neuronal guidance cue netrin-1 can act at the interface of macrophage-driven injury and ECM degradation. Netrin-1 expression peaks in human and murine aneurysmal macrophages. Targeted deletion of netrin-1 in macrophages protects mice from developing AAA. Through its receptor neogenin-1, netrin-1 induces a robust intracellular calcium flux necessary for the transcriptional regulation and persistent catalytic activation of matrix metalloproteinase-3 (MMP3) by vascular smooth muscle cells. Deficiency in MMP3 reduces ECM damage and the susceptibility of mice to develop AAA. Here, we establish netrin-1 as a major signal that mediates the dynamic crosstalk between inflammation and chronic erosion of the ECM in AAA.

Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.

Objective-Abdominal aortic aneurysms (AAAs), dilations of the infrarenal aorta, are characterized by inflammation and oxidative stress. We previously showed increased levels of peroxiredoxin-1 (PRDX-1) in macrophages cultured from AAA patients. The purpose of the study was to determine which subpopulation of macrophages is present in AAAs and is involved in upregulation of PRDX-1 in aneurysmal disease. Methods and Results-This study used immunohistochemistry with antibodies against CD68 and mannose receptor (MR) to determine the subtype of macrophages in AAA tissue samples (n=33

The authors identified a heightened platelet activity profile and unraveled a novel immunomodulatory effector role of platelet-derived MRP-14 in reprograming monocyte activation in symptomatic PAD. (Platelet Activity in Vascular Surgery and Cardiovascular Events [PACE]; NCT02106429; and Platelet Activity in Vascular Surgery for Thrombosis and Bleeding [PIVOTAL]; NCT01897103).

During obesity, macrophages infiltrate the visceral adipose tissue and promote inflammation that contributes to type ii diabetes. evidence suggests that the rewiring of cellular metabolism can regulate macrophage function. However, the metabolic programs that characterize adipose tissue macrophages (ATM) in obesity are poorly defined. Here, we demonstrate that ATM from obese mice exhibit metabolic profiles characterized by elevated glycolysis and oxidative phosphorylation, distinct from ATM from lean mice. Increased activation of HIF-1α in AtM of obese visceral adipose tissue resulted in induction of IL-1β and genes in the glycolytic pathway. Using a hypoxia-tracer, we show that HIF-1α nuclear translocation occurred both in hypoxic and non-hypoxic AtM suggesting that both hypoxic and pseudohypoxic stimuli activate HIF-1α and its target genes in AtM during diet-induced obesity. Exposure of macrophages to the saturated fatty acid palmitate increased glycolysis and HIF-1α expression, which culminated in IL-1β induction thereby simulating pseudohypoxia. Using mice with macrophage-specific targeted deletion of HIF-1α, we demonstrate the critical role of HIF-1α-derived from macrophages in regulating ATM accumulation, and local and systemic IL-1β production, but not in modulating systemic metabolic responses. collectively, our data identify enhanced glycolysis and HIF-1α activation as drivers of low-grade inflammation in obesity. Obesity and its associated metabolic diseases, insulin resistance and type 2 diabetes, continue to increase in the United States and worldwide 1 , and fully effective therapies to combat this growing epidemic are lacking. Obesity gives rise to a state of chronic inflammation, which is causally linked to insulin resistance (IR) and type 2 diabetes 2-4. In obese mice and humans, there is a striking accrual of macrophages in visceral adipose tissue 5,6 , and these immune cells are key contributors to obesity-induced insulin resistance 2,7. Whereas adipose tissue macrophages (ATM) comprise approximately 10-15% of stromal cells in the lean adipose tissue, during high fat diet feeding the recruitment of monocytes into visceral adipose depots can drive macrophage accumulation up to 50% of all cells in obese adipose tissue 7. A number of factors, including adipocyte hypertrophy, increased extracellular lipid concentrations and oxidative stress are thought to drive expression of chemoattractant factors that recruit monocytes in the expanding adipose tissue 2,7. In this metabolically disturbed environment, the monocyte-derived macrophages take on an inflammatory phenotype that is distinct from those of macrophages residing in lean adipose tissue 8,9. These ATMs are a source of inflammatory cytokines, particularly TNFα 10 and IL-1β 11 , that sustain the local and systemic inflammation that contributes to insulin resistance [reviewed in 2 ], yet the mechanisms that drive metabolic inflammation and the pro-inflammatory ATM phenotype, remain poorly understood.

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Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 236 SARS-CoV2 sequences from cases in the New York City metropolitan area during the initial stages of the 2020 COVID-19 outbreak. The majority of cases throughout the region had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that the majority were most related to cases from Europe. Our data are consistent with numerous seed transmissions from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of real-time genomic surveillance in addition to traditional epidemiological indicators.

Abdominal aortic aneurysm (AAA) is an inflammatory disease associated with marked changes in the cellular composition of the aortic wall. This study aims to identify microRNA (miRNA) expression in aneurysmal inflammatory cells isolated by laser microdissection from human tissue samples. The distribution of inflammatory cells (neutrophils, B and T lymphocytes, mast cells) was evaluated in human AAA biopsies. We observed in half of the samples that adventitial tertiary lymphoid organs (ATLOs) with a thickness from 0.5 to 2 mm were located exclusively in the adventitia. Out of the 850 miRNA that were screened by microarray in isolated ATLOs (n = 2), 164 miRNAs were detected in ATLOs. The three miRNAs (miR-15a-3p, miR-30a-5p and miR-489-3p) with the highest expression levels were chosen and their expression quantified by RT-PCR in isolated ATLOs (n = 4), M1 (n = 2) and M2 macrophages (n = 2) and entire aneurysmal biopsies (n = 3). Except for the miR-30a-5p, a similar modulation was found in ATLOs and the two subtypes of macrophages. The modulated miRNAs were then evaluated in the plasma of AAA patients for their potential as AAA biomarkers. Our data emphasize the potential of miR-15a-3p and miR-30a-5p as biomarkers of AAA but also as triggers of ATLO evolution. Further investigations will be required to evaluate their targets in order to better understand AAA pathophysiology.