Metabolic Syndrome, Subclinical Coronary Atherosclerosis, and Cardiovascular Risk

Mas receptor: a potential strategy in the management of ischemic cardiovascular diseases

MasR is a critical element in the RAS accessory pathway that protects the heart against myocardial infarction, ischemia-reperfusion injury, and pathological remodeling by counteracting the effects of AT1R. This receptor is mainly stimulated by Ang 1-7, which is a bioactive metabolite of the angiotensin produced by ACE2. MasR activation attenuates ischemia-related myocardial damage by facilitating vasorelaxation, improving cell metabolism, reducing inflammation and oxidative stress, inhibiting thrombosis, and stabilizing atherosclerotic plaque. It also prevents pathological cardiac remodeling by suppressing hypertrophy- and fibrosis-inducing signals. In addition, the potential of MasR in lowering blood pressure, improving blood glucose and lipid profiles, and weight loss has made it effective in modulating risk factors for coronary artery disease including hypertension, diabetes, dyslipidemia, and obesity. Considering these properties, the administration of MasR agonists offers a promising approach to the prevention and treatment of ischemic heart disease.Abbreviations: Acetylcholine (Ach); AMP-activated protein kinase (AMPK); Angiotensin (Ang); Angiotensin receptor (ATR); Angiotensin receptor blocker (ARB); Angiotensin-converting enzyme (ACE); Angiotensin-converting enzyme inhibitor (ACEI); Anti-PRD1-BF1-RIZ1 homologous domain containing 16 (PRDM16); bradykinin (BK); Calcineurin (CaN); cAMP-response element binding protein (CREB); Catalase (CAT); C-C Motif Chemokine Ligand 2 (CCL2); Chloride channel 3 (CIC3); c-Jun N-terminal kinases (JNK); Cluster of differentiation 36 (CD36); Cocaine- and amphetamine-regulated transcript (CART); Connective tissue growth factor (CTGF); Coronary artery disease (CAD); Creatine phosphokinase (CPK); C-X-C motif chemokine ligand 10 (CXCL10); Cystic fibrosis transmembrane conductance regulator (CFTR); Endothelial nitric oxide synthase (eNOS); Extracellular signal-regulated kinase 1/2 (ERK 1/2); Fatty acid transport protein (FATP); Fibroblast growth factor 21 (FGF21); Forkhead box protein O1 (FoxO1); Glucokinase (Gk); Glucose transporter (GLUT); Glycogen synthase kinase 3β (GSK3β); High density lipoprotein (HDL); High sensitive C-reactive protein (hs-CRP); Inositol trisphosphate (IP3); Interleukin (IL); Ischemic heart disease (IHD); Janus kinase (JAK); Kruppel-like factor 4 (KLF4); Lactate dehydrogenase (LDH); Left ventricular end-diastolic pressure (LVEDP); Left ventricular end-systolic pressure (LVESP); Lipoprotein lipase (LPL); L-NG-Nitro arginine methyl ester (L-NAME); Low density lipoprotein (LDL); Mammalian target of rapamycin (mTOR); Mas-related G protein-coupled receptors (Mrgpr); Matrix metalloproteinase (MMP); MAPK phosphatase-1 (MKP-1); Mitogen-activated protein kinase (MAPK); Monocyte chemoattractant protein-1 (MCP-1); NADPH oxidase (NOX); Neuropeptide FF (NPFF); Neutral endopeptidase (NEP); Nitric oxide (NO); Nuclear factor κ-light-chain-enhancer of activated B cells (NF-κB); Nuclear-factor of activated T-cells (NFAT); Pancreatic and duodenal homeobox 1 (Pdx1); Peroxisome proliferator- activated receptor γ (PPARγ); Phosphoinositide 3-kinases (PI3k); Phospholipase C (PLC); Prepro-orexin (PPO); Prolyl-endopeptidase (PEP); Prostacyclin (PGI2); Protein kinase B (Akt); Reactive oxygen species (ROS); Renin-angiotensin system (RAS); Rho-associated protein kinase (ROCK); Serum amyloid A (SAA); Signal transducer and activator of transcription (STAT); Sirtuin 1 (Sirt1); Slit guidance ligand 3 (Slit3); Smooth muscle 22α (SM22α); Sterol regulatory element-binding protein 1 (SREBP-1c); Stromal-derived factor-1a (SDF); Superoxide dismutase (SOD); Thiobarbituric acid reactive substances (TBARS); Tissue factor (TF); Toll-like receptor 4 (TLR4); Transforming growth factor β1 (TGF-β1); Tumor necrosis factor α (TNF-α); Uncoupling protein 1 (UCP1); Ventrolateral medulla (VLM).

Platelet reactivity and response to aspirin in subjects with the metabolic syndrome

BACKGROUND

Metabolic syndrome (MS) is associated with a prothrombotic state and predicts the subsequent development of type 2 diabetes mellitus. We hypothesized that similar to diabetes, subjects with MS may have increased platelet reactivity, and reduced response to aspirin. We, therefore, compared platelet reactivity and response to aspirin among subjects with MS and healthy volunteers.

METHODS

Fifty subjects with MS, defined by Adult Treatment Panel III criteria (age 44+/-9 years, 80% women, body mass index 35+/-8 kg/m2) were compared to 50 healthy controls who met none of the MS criteria (age 40+/-7 years, 80% women, body mass index: 24+/-3 kg/m2). Blood samples were taken before and 24 hours after 325 mg aspirin (single dose). Platelet function was evaluated by aggregation in response to 1.5 mmol/L arachidonic acid, 1 microg/mL collagen, and 5 and 20 micromol/L adenosine diphosphate; the VerifyNow Aspirin assay (Accumetrics Inc, San Diego, CA); Impact-R Cone and Plate(let) Analyzer (shear-dependent test) (DiaMed, Cresier, Switzerland) and flow cytometric determination of P-selectin expression and activated glycoprotein IIb/IIIa expression; and reticulated platelets (reflecting platelet turnover).

RESULTS

Subjects with MS had higher baseline P-selectin levels (14.5+/-5 vs 11.3+/-4 mean fluorescence intensity, P=.002), reticulated platelets (2.8%+/-3% vs 1.2%+/-1%, P=.04) and platelet deposition under flow (Impact-R 7.5%+/-2% vs 5.9%+/-2%, P=.003). Subjects with MS also had lower response to aspirin, as evaluated by the change in all platelet aggregation assays and the VerifyNow score.

CONCLUSIONS

Subjects with MS appear to have increased baseline platelet reactivity and turnover and a lower antiplatelet response to aspirin. Further research is required to elucidate platelet properties in subjects with MS and find ways to modify them.

Perspective: Prospective health care and the role of academic medicine: lead, follow, or get out of the way

The authors contend that the crisis facing the U.S. health care system is in large part a consequence of that system's disease-oriented, reactive, and sporadic approach to care, and they suggest that a prospective approach to health care, which emphasizes personalized medicine and strategic health planning, would be a more rational way to prevent disease and maximize health. During recent years, personalized, predictive, preventive, and participatory medicine--that is, prospective care--has been receiving increasing attention as a solution to the U.S. health care crisis. Advocacy has been mainly from industry, government, large employers, and private insurers. However, academic medicine, as a whole, has not played a leading role in this movement. The authors believe that academic medicine has the opportunity and responsibility to play a far greater role in the conception and development of better models to deliver health care. In doing so, it could lead the transformation of today's dysfunctional system of medical care to that of a prospective approach that emphasizes personalization, prediction, prevention, and patient participation. Absent contributing to improving how care is delivered, academic medicine's leadership in our nation's health will be bypassed.

Proposal for a new health record to support personalized, predictive, preventative and participatory medicine

Today's approach to patient care and the medical record that directs and documents it is largely focused on identifying and treating the patient's disease. This has resulted in a sporadic, reactive healthcare system. Shifting medicine's focus to personalized strategic health planning will require a new approach to the patient 'work-up', a new relationship between the patient and the provider and a new medical record to support it. A prospective health record should be developed to enable personalized and preventative strategies, including assessment of health risks, evaluation of current health status, tracking of disease pathogenesis, prediction of disease events and long-term planning for maintaining wellness and limiting disease. The record should utilize emerging technologies to track predictive clinical risk factors, thereby enabling preventative responses and personalized medicine.

Normal coronary arteries in patients with systolic heart failure who have higher body mass index

BACKGROUND

Previous research has shown an association between higher body mass index (BMI) and lower mortality in patients with heart failure (HF).

METHODS

We compared the prevalence of angiographic coronary artery disease (CAD) and risk factors in obese versus non-obese patients with HF. Eighty-four consecutive patients with systolic HF who underwent coronary angiography in a single institution were categorized by BMI into non-obese (BMI < 30, n = 42) and obese (BMI >or= 30, n = 42) subjects.

RESULTS

Chi-square analysis demonstrated a greater prevalence of normal coronary arteries and a lesser prevalence of CAD in the obese patients compared with the non-obese patients (64% [27/42] of obese patients vs 43% [18/42] non-obese patients had normal coronary arteries, P < .05). Among the obese patients, the subgroup with normal coronary arteries had a higher BMI (39 vs 32, P < .001) and was younger (51 vs 63 years, P < .005) compared with those with CAD. Although the prevalence of significant CAD (>50% diameter stenosis) was similar between obese and non-obese patients, the obese subgroup had a lower high-density lipoprotein (39 vs 49 mg/dL, P < .05).

CONCLUSIONS

Angiographically normal coronary arteries were more prevalent in patients with systolic HF who have a higher BMI.

Calcium Deposition and Associated Chronic Diseases (Atherosclerosis, Diffuse Idiopathic Skeletal Hyperostosis, and Others)

Extracellular matrix mineralization or calcification occurs in many pathologic conditions, including atherosclerosis, medial wall calcification, diffuse idiopathic skeletal hyperostosis, and chondrocalcinosis. Vascular wall calcification is the most common and involves two mechanisms: passive calcification resulting from breakdown of the protection system and active calcification resulting from transdifferentiation of mesenchymal cells in the vascular wall to bone. Although reports are conflicting, several matrix proteins are identified as protective factors against dystrophic calcification in nonosseous tissues. Serum matrix Gla protein may be a marker of osteometabolic syndromes that cause hyperostosis and plays a role in Milwaukee shoulder syndrome.

Prospective health care: the second transformation of medicine

Emerging scientific technologies provide rich sources of predictive biomarkers, which will enable the development of tools to quantify risk and anticipate disease, so health care can become rational, preventive and personalized.

Emerging scientific technologies provide rich sources of predictive biomarkers, which could transform health care. Identification of causal biomarkers will enable the development of tools to quantify risk and anticipate disease. Accurate health risk analysis is rapidly becoming feasible, so health care can become rational, preventive and personalized.