STAT1 and STAT6 Act as Antagonistic Regulators of PPARγ in Diabetic Patients with and without Cardiovascular Diseases
Related Experiment Video
Updated: Feb 10, 2026

In Silico Clinical Trials for Cardiovascular Disease
Published on: May 27, 2022
Background:
The processes that mediate an inflammatory environment and increase atherosclerosis in diabetes are not well understood. Peroxisome proliferator-activated receptors (PPARs) are a subgroup of the nuclear hormone receptor superfamily of ligand-activated transcription factors which play an important role in the pathogenesis of type 2 diabetes mellitus (T2DM) and atherosclerosis. PPARγ promotes changes in lipid metabolism, especially in fatty acid (FA) trafficking, and the activity of PPARγ could be modulated by diabetes phenotype patients. Fatty acid translocase CD36 is one of the advanced PPARγ targets to arbitrate this action. In the current study, we investigated the potential role of signal transducer and activator of transcription STAT1 and STAT6 signaling linked to PPARγ and its implication in the modulation of lipid metabolism.
Methods:
Real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to quantify target genes in Peripheral Blood Mononuclear Cells (PBMCs) isolated from two diabetic groups: diabetic patients with cardiovascular diseases (D.CVD) and without cardiovascular diseases (D).
Results:
We demonstrated that PPARγ and CD36 mRNA expressions were downregulated along D.CVD compared to D (p = 0.002; p = 0.04; respectively). Decreased CD36 was accompanied by elevated levels of plasma triglyceride (TG) concentrations, 0.83 ± 0.29 vs. 2.46 ± 0.22), respectively. Furthermore, STAT1 was significantly more expressed in D.CVD (p = 0.01). On the other hand, we demonstrated that STAT6 induces a significant level of PPARγ mRNA expression in D patients (p = 0.01).
Conclusions:
Our results suggest that the expression and activity of PPARγ mediates CD36 in PBMCs and varies with respect to STAT6 and STAT1 trafficking in diabetic patients with and without cardiovascular diseases.
Insights
Diabetic patients with cardiovascular disease show lower PPARγ and CD36 expression, linked to altered lipid metabolism and STAT1 signaling. STAT6 influences PPARγ in diabetic patients.
Area of Science:
- Endocrinology
- Molecular Biology
- Cardiovascular Disease Research
Background:
- Diabetes mellitus (T2DM) and atherosclerosis involve complex inflammatory processes.
- Peroxisome proliferator-activated receptors (PPARs), particularly PPARγ, regulate lipid metabolism and are implicated in T2DM and atherosclerosis.
- PPARγ activity is modulated by diabetes, with fatty acid translocase CD36 as a key target.
Purpose of the Study:
- To investigate the role of signal transducer and activator of transcription (STAT) 1 and STAT6 signaling in PPARγ-mediated lipid metabolism modulation in diabetic patients.
- To explore the differential expression of PPARγ, CD36, STAT1, and STAT6 in diabetic patients with and without cardiovascular diseases (CVD).
Main Methods:
- Real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR) was employed.
- Target gene expression was quantified in Peripheral Blood Mononuclear Cells (PBMCs).
- Two groups of diabetic patients were studied: those with cardiovascular diseases (D.CVD) and those without (D).
Main Results:
- PPARγ and CD36 mRNA expression were significantly downregulated in D.CVD patients compared to D patients (p = 0.002; p = 0.04, respectively).
- Downregulated CD36 correlated with elevated plasma triglyceride (TG) levels in D.CVD patients.
- STAT1 expression was significantly higher in D.CVD patients (p = 0.01), while STAT6 induced significant PPARγ mRNA expression in D patients (p = 0.01).
Conclusions:
- PPARγ expression and CD36 mediation in PBMCs differ between diabetic patients with and without cardiovascular diseases.
- STAT6 and STAT1 signaling pathways play distinct roles in modulating PPARγ activity and lipid metabolism in diabetic patients with varying cardiovascular risk.
- These findings highlight potential molecular targets for managing lipid metabolism and cardiovascular complications in diabetes.
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