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Dynamic communication within adipose tissue depends on highly vascularized structural characteristics to maintain systemic metabolic homoeostasis. Recently, it has been noted that adipose endothelial cells (AdECs) act as essential bridges for biological information transmission between adipose-resident cells. Hence, paracrine regulators that mediate crosstalk between AdECs and adipose stromal cells were summarized. We also highlight the importance of AdECs to maintain adipocytes metabolic homoeostasis by regulating insulin sensitivity, lipid turnover and plasticity. The differential regulation of AdECs in adipose plasticity often depends on vascular density and metabolic states. Although choosing pro-angiogenic or anti-angiogenic therapies for obesity is still a matter of debate in clinical settings, the growing numbers of drugs have been confirmed to play an anti-obesity effect by affecting vascularization. Pharmacologic angiogenesis intervention has great potential as therapeutic strategies for obesity.

Obesity has recently been defined as a chronic low-grade inflammatory disease. Obesity-induced inflammation of adipose tissue (AT) is an essential trigger for insulin resistance (IR) and related metabolic diseases. Although the underlying molecular basis of this inflammation has not been fully identified, there is consensus that the recruited and activated macrophages in AT are the most important culprits of AT chronic inflammation. Adipose tissue macrophages (ATMs) are highly plastic and could be polarized from an anti-inflammatory M2 to proinflammatory M1 phenotypes on stimulation by microenvironmental signals from obese AT. Many efforts have been made to elucidate the molecular signaling pathways of macrophage polarization; however, the upstream drivers governing and activating macrophage polarization have rarely been summarized, particularly regulatory messages from the AT microenvironment. In addition to adipocytes, the AT bed also contains a variety of immune cells, stem cells, as well as vascular, neural, and lymphatic tissues throughout, which together orchestrate the AT microenvironment. Here, we summarize how the aforesaid neighbors of ATMs in the AT microenvironment send messages to ATMs and thus regulate its phenotype during obesity. Deciphering the biology and polarization of ATMs in the obese environment is expected to provide a precise immunotherapy for adipose inflammation and obesity-related metabolic diseases., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Backgroud: CCN3 is a novel adipokine and has emerged as a potential metabolic regulator. However, information regarding the role of CCN3 in type 2 diabetes mellitus (T2DM) remains unclear. This study measured for the first time serum CCN3 levels in T2DM and explored the correlations between its serum levels and various metabolic parameters in humans., Methods: A total of 219 newly diagnosed T2DM (nT2DM) patients and 205 healthy control subjects, matched for age and sex ratio, were enrolled. Circulating CCN3 and TNF-α, IL-6 and MCP-1 were measured by ELISA. The anthropometric assessment and biochemical evaluation were done in all subjects. OGTT were performed in 34 healthy individuals to investigate the association of CCN3 with glucose., Results: Serum CCN3 levels were significantly higher in nT2DM patients compared to those of the healthy controls (6.71[4.88, 8.56] vs. 4.51[3.55, 5.99] ng/ml, P < 0.01). Serum CCN3 positively correlated with BMI, WC, FAT%, TG, FPG, 2 h-PG, HbA1c, FIns, HOMA-IR, hs-CRP and TNF-α, IL-6 and MCP-1, but negatively with HOMA-β in all individuals (P < 0.05). Multiple linear regression analysis indicated that BMI, HOMA-IR, TNF-α and MCP-1 were independently associated with CCN3. Multivariate logistic regression analysis demonstrated that CCN3 was correlated with nT2DM. Finally, area under ROC curve of CCN3 (gender and age adjusted) for predicting the presence of nT2DM was 0.725(95% CI: 0.676-0.773). After an oral glucose challenge, there was no obvious change in the circulating levels of CCN3 as compared to 0 min (P > 0.05)., Conclusions: Elevation of CCN3 in nT2DM supports the hypothesis that CCN3 may serve as a risk factor associated with the pathogenesis of T2DM., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Objective. Asprosin, a new adipocytokine, has reportedly been associated with glucose release, dyslipidemia, and insulin resistance (IR). However, the relationship of asprosin with metabolic syndrome (MetS) remains unknown. This study aimed to investigate serum asprosin levels in MetS as well as their association with various metabolic parameters in humans. Methods. A total of 131 consecutive patients with MetS, and 162 age-matched, healthy subjects were recruited for this study. Serum asprosin concentrations were determined using the enzyme-linked immunosorbent assay. Lipid profile, glucose, insulin, and inflammatory markers were also measured. Results. Serum asprosin levels were higher in subjects with MetS (23.52 [16.70, 32.05] ng/mL) than in controls (16.70 [12.87, 22.38] ng/mL; P < 0.01), and they showed an increasing trend with increasing numbers of metabolic components (P for trend < 0.01). In all studied subjects, serum asprosin levels were positively correlated with body mass index, waist circumference, triglycerides, fasting plasma glucose, 2-hour plasma glucose, fasting insulin, homeostatic model assessment of insulin resistance (HOMA-IR) index, interleukin-6, and monocyte chemoattractant protein-1 and negatively correlated with high-density lipoprotein cholesterol (P < 0.05). In multiple linear regression, asprosin was independently and positively correlated with triglyceride and HOMA-IR (P < 0.05). Binary logistic regression revealed that asprosin was independently and positively correlated with the occurrence of MetS and IR, even after controlling for anthropometric variables, lipid profiles, and inflammatory markers. Conclusion. Asprosin is a potential metabolic-related adipokine and may be related to IR and MetS. This trial was registered with ChiCTR, ChiCTR1800018347. [ABSTRACT FROM AUTHOR]

MicroRNA-dependent regulation of hepatic lipid metabolism has been recognized recently as a key pathological mechanism contributing to the development of NAFLD. However, whether miR-32-5p (miR-32) plays a role in lipid metabolism or contributes to NAFLD remains unclear. A marked increase in miR-32 expression was observed in liver samples from patients and mice with NAFLD, as well as in palmitate-induced hepatocytes. Hepatocyte-specific miR-32 knockout (miR-32-HKO) dramatically ameliorated hepatic steatosis and metabolic disorders in high-fat diet-fed mice. Conversely, hepatic miR-32 overexpression markedly exacerbated the progression of these abnormalities. Further, combinational analysis of transcriptomics and lipidomics suggested that miR-32 was a key trigger for de novo lipogenesis in the liver. Mechanistically, RNA sequencing, luciferase assay and adenovirus-mediated downstream gene rescue assay demonstrated that miR-32 directly bound to insulin-induced gene 1 (INSIG1) and subsequently activated sterol regulatory element binding protein-mediated lipogenic gene programs, thereby promoting hepatic lipid accumulation and metabolic disorders. Notably, pharmacological administration of miR-32 antagonist significantly inhibited palmitate-induced triglyceride deposition in hepatocytes and markedly mitigated hepatic steatosis and metabolic abnormalities in obesity-associated NAFLD mice. miR-32 is an important checkpoint for lipogenesis in the liver, and targeting miR-32 could be a promising therapeutic approach for NAFLD treatment. [Display omitted] • miR-32 is a key trigger for de novo lipogenesis in the liver. • miR-32-HKO dramatically ameliorates hepatic steatosis and hyperlipidemia in obese mice. • Hepatic miR-32 overexpression exacerbates HFD-induced fatty liver. • miR-32 regulates hepatic lipid metabolism by targeting a key checkpoint, INSIG1. • miR-32 may be a potential pharmacological target for NAFLD treatment. [ABSTRACT FROM AUTHOR]