Subtopic Deep Dive

Obesity Effects on Perivascular Adipose Tissue
Research Guide

What is Obesity Effects on Perivascular Adipose Tissue?

Obesity effects on perivascular adipose tissue (PVAT) describe the shift from anti-contractile to pro-inflammatory phenotypes that exacerbate endothelial dysfunction and cardiovascular disease. This phenotypic switching occurs due to local inflammation and hypoxia in obese states (Greenstein et al., 2009). Researchers use human biopsies and animal models to track PVAT changes.

Obesity induces PVAT dysfunction, promoting chronic inflammation that links systemic adiposity to vascular pathology (Fuster et al., 2016). Key studies show PVAT loses protective properties in obese patients, with 611 citations for Greenstein et al. (2009). Over 10 provided papers span 2008-2020, averaging 450 citations each.

15
Curated Papers
3
Key Challenges

Why It Matters

PVAT inflammation drives endothelial dysfunction, informing targeted therapies for obesity-related cardiovascular risks (Nosalski and Guzik, 2017). Perivascular Fat Attenuation Index (FAI) from CT angiography predicts cardiac events, as Oikonomou et al. (2019) demonstrate with improved risk models. Weight-loss interventions may restore PVAT anticontractile effects, per Greenstein et al. (2009), impacting clinical management of atherosclerosis (Chang et al., 2012).

Key Research Challenges

Quantifying PVAT Phenotypic Switching

Distinguishing anti- to pro-inflammatory shifts requires precise biomarkers, complicated by hypoxia effects (Greenstein et al., 2009). Human studies face biopsy limitations, while animal models vary in translatability (Fuster et al., 2016). Longitudinal tracking remains inconsistent across cohorts.

Measuring Local PVAT Inflammation

Local hypoxia abolishes PVAT protection, but in vivo imaging struggles with resolution (Greenstein et al., 2009). Cytokine profiling shows variability in obese PVAT (Nosalski and Guzik, 2017). Integrating multi-omics data poses analytical hurdles.

Linking PVAT to Endothelial Dysfunction

PVAT-derived factors like visfatin promote VSMC growth, but causal pathways to endothelium need clarification (Wang et al., 2008). PPAR-γ deletion in PVAT worsens atherosclerosis, complicating intervention design (Chang et al., 2012). Clinical translation lags behind mechanistic insights.

Essential Papers

1.

Adipose Tissue Distribution, Inflammation and Its Metabolic Consequences, Including Diabetes and Cardiovascular Disease

Alan Chait, Laura J. den Hartigh · 2020 · Frontiers in Cardiovascular Medicine · 1.4K citations

Adipose tissue plays essential roles in maintaining lipid and glucose homeostasis. To date several types of adipose tissue have been identified, namely white, brown, and beige, that reside in vario...

2.

Obesity-Induced Changes in Adipose Tissue Microenvironment and Their Impact on Cardiovascular Disease

José J. Fuster, Noriyuki Ouchi, Noyan Gokce et al. · 2016 · Circulation Research · 638 citations

Obesity is causally linked with the development of cardiovascular disorders. Accumulating evidence indicates that cardiovascular disease is the collateral damage of obesity-driven adipose tissue dy...

3.

Local Inflammation and Hypoxia Abolish the Protective Anticontractile Properties of Perivascular Fat in Obese Patients

Adam Greenstein, Kaivan Khavandi, Sarah Withers et al. · 2009 · Circulation · 611 citations

Background— Inflammation in adipose tissue has been implicated in vascular dysfunction, but the local mechanisms by which this occurs are unknown. Methods and Results— Small arteries with and witho...

4.

Targeting vascular (endothelial) dysfunction

Andreas Daiber, Sebastian Steven, Alina Weber et al. · 2016 · British Journal of Pharmacology · 487 citations

Abstract Cardiovascular diseases are major contributors to global deaths and disability‐adjusted life years, with hypertension a significant risk factor for all causes of death. The endothelium tha...

5.

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography

Evangelos K. Oikonomou, Michelle C. Williams, Christos P. Kotanidis et al. · 2019 · European Heart Journal · 464 citations

Abstract Background Coronary inflammation induces dynamic changes in the balance between water and lipid content in perivascular adipose tissue (PVAT), as captured by perivascular Fat Attenuation I...

6.

Brown fat activation reduces hypercholesterolaemia and protects from atherosclerosis development

Jimmy F.P. Berbée, Mariëtte R. Boon, Padmini P. S. J. Khedoe et al. · 2015 · Nature Communications · 423 citations

7.

Perivascular adipose tissue inflammation in vascular disease

Ryszard Nosalski, Tomasz J. Guzik · 2017 · British Journal of Pharmacology · 368 citations

Perivascular adipose tissue (PVAT) plays a critical role in the pathogenesis of cardiovascular disease. In vascular pathologies, perivascular adipose tissue increases in volume and becomes dysfunct...

Reading Guide

Foundational Papers

Start with Greenstein et al. (2009, 611 citations) for core hypoxia-inflammation mechanism in obese PVAT; then Fitzgibbons and Czech (2014, 335 citations) for epicardial/PVAT CVD links; Chang et al. (2012, 330 citations) for thermoregulation and atherosclerosis roles.

Recent Advances

Oikonomou et al. (2019, 464 citations) for radiotranscriptomic PVAT signatures in risk prediction; Chait and den Hartigh (2020, 1390 citations) for adipose distribution impacts; Mancuso and Bouchard (2019, 303 citations) on aging-obesity overlaps.

Core Methods

Biopsy-based anticontractile assays (Greenstein et al., 2009); CT FAI radiomics (Oikonomou et al., 2019); PPAR-γ knockout models (Chang et al., 2012); cytokine/RNA profiling (Nosalski and Guzik, 2017).

How PapersFlow Helps You Research Obesity Effects on Perivascular Adipose Tissue

Discover & Search

PapersFlow's Research Agent uses searchPapers and exaSearch to find obesity-PVAT papers like Greenstein et al. (2009), then citationGraph reveals 611-citation impact and connections to Fuster et al. (2016). findSimilarPapers expands to related PVAT inflammation studies.

Analyze & Verify

Analysis Agent applies readPaperContent to extract PVAT hypoxia data from Greenstein et al. (2009), verifies claims with CoVe chain-of-verification, and uses runPythonAnalysis for statistical meta-analysis of inflammation metrics across 10 papers. GRADE grading scores evidence strength for clinical translation.

Synthesize & Write

Synthesis Agent detects gaps in PVAT intervention studies post-2020, flags contradictions between human (Greenstein et al., 2009) and mouse models (Chang et al., 2012). Writing Agent employs latexEditText, latexSyncCitations for 20 PVAT refs, and latexCompile for review manuscripts; exportMermaid visualizes PVAT phenotypic switch pathways.

Use Cases

"Analyze PVAT inflammation stats from top obesity papers using Python."

Research Agent → searchPapers('PVAT obesity inflammation') → Analysis Agent → runPythonAnalysis(pandas meta-analysis of cytokine levels from Greenstein 2009, Fuster 2016) → matplotlib plots of effect sizes.

"Draft LaTeX review on PVAT anticontractile loss in obesity."

Synthesis Agent → gap detection (post-Greenstein interventions) → Writing Agent → latexEditText(structure review) → latexSyncCitations(10 papers) → latexCompile(PDF with figures).

"Find code for PVAT radiomics analysis like FAI from Oikonomou."

Research Agent → paperExtractUrls(Oikonomou 2019) → Code Discovery → paperFindGithubRepo → githubRepoInspect → runPythonAnalysis(reproduce FAI computation).

Automated Workflows

Deep Research workflow conducts systematic review of 50+ PVAT-obesity papers: searchPapers → citationGraph → DeepScan (7-step verify) → structured report with GRADE scores. Theorizer generates hypotheses on PVAT restoration via brown fat activation (Berbée et al., 2015), chaining synthesis → exportMermaid diagrams. DeepScan analyzes Greenstein et al. (2009) with CoVe checkpoints for hypoxia claims.

Frequently Asked Questions

What defines obesity effects on PVAT?

Obesity causes PVAT to switch from anti-contractile to pro-inflammatory, abolishing vessel protection via local inflammation and hypoxia (Greenstein et al., 2009).

What methods study PVAT changes?

Human subcutaneous artery biopsies assess anticontractile loss; CT-derived FAI measures inflammation (Oikonomou et al., 2019). Animal models test PPAR-γ roles (Chang et al., 2012).

What are key papers?

Greenstein et al. (2009, 611 citations) shows hypoxia effects; Fuster et al. (2016, 638 citations) links to CVD; Nosalski and Guzik (2017) details PVAT pathology.

What open problems exist?

Translating PVAT biomarkers to routine imaging; testing weight-loss on human PVAT function; resolving model discrepancies in inflammation drivers.

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