Comprehensive characterization of protein modifications using mass spectrometry and dry blood spots

PURPOSE

The main objective of this study is to characterize and analyze modified peptides in DBS samples. This includes deciphering their specific PTMs and understanding their potential impact on the population or disease cohort under study.

EXPERIMENTAL DESIGN

Using mass spectrometry-based proteomic approaches, we performed a comprehensive analysis of DBS samples. Our focus was on the identification and quantification of modified peptides. We also took advantage of recent advances in DBS mass spectrometry to ensure accurate detection and quantification.

RESULTS

A comprehensive analysis identified 972 modified peptides in DBS samples. Of these, a subset of 211 peptides was consistently present in all samples, highlighting their potential biological importance and relevance. This indicates a diverse spectrum of PTMs in the proteome of DBS samples.

CONCLUSIONS AND CLINICAL RELEVANCE

Integration of mass spectrometry and proteomics has revealed a broad spectrum of modified peptides in DBS samples and highlighted their importance in biological processes and disease progression. Accurate detection of these PTMs may be critical for risk stratification and disease management. This study improves the understanding of molecular mechanisms underlying biological processes and disease development, providing important insights for clinical applications.

A comprehensive deep venous thrombosis prophylaxis regimen in isolated coronary artery bypass grafting

Objectives

Deep venous thrombosis (DVT) is a known surgical complication that can lead to pulmonary embolism with subsequent morbidity and mortality. The incidence of DVT following coronary artery bypass grafting is unclear. Prophylaxis regimens vary and some guidelines advocate against use of routine chemoprophylaxis in patients at low-moderate risk for venous thromboembolism. We utilized postoperative lower extremity venous ultrasound to determine the incidence of DVT following coronary artery bypass grafting in patients with low- to moderate-risk of venous thromboembolism receiving aggressive postoperative DVT prophylaxis.

Methods

This is a single-center, retrospective study of all patients who underwent coronary artery bypass grafting between April 2022 and January 2023. All patients who completed postoperative venous ultrasound of the bilateral lower extremities were initially included. Patients who underwent concurrent valve or aortic surgery, were at high risk of venous thromboembolism, or were receiving anticoagulation therapy for nonvenous thromboembolism indications were excluded. The primary outcome was in-hospital incidence of DVT. Secondary outcomes were rates of mortality, postoperative bleeding, and thromboembolic events from discharge to 30 days postoperatively and from 30 days to 3 months postoperatively.

Results

No DVTs were observed in 211 included patients. In hospital, there were 3 significant bleeding events and 1 stroke. Following discharge there were 3 additional bleeding events, 1 death, 1 transient ischemic attack, and 1 pulmonary embolism.

Conclusions

We observed a 0% rate of DVT in low- to moderate-risk patients undergoing isolated coronary artery bypass grafting and receiving a comprehensive DVT prophylaxis regimen. In hospital bleeding and other thromboembolic event rates were 2.84% and 0.47% respectively.

Circulating Exosomal CircRNAs as Diagnostic Biomarkers for Chronic Coronary Syndrome

Circular RNA (circRNA) has been reported to be involved in the pathogenesis of cardiovascular disease; however, it is unclear whether circRNA carried by exosomes (exos) can be used as biomarkers for chronic coronary syndrome (CCS). High-throughput sequencing was carried out in the plasma exosomal RNA of 15 CCS patients and 15 non-cardiac chest pain patients (NCCP, control group) to screen for differentially expressed circRNAs. Selected differentially expressed exo-circRNAs were further verified by real-time polymerase chain reaction in a small-sample cohort and a large-sample cohort. A total of 276 circRNAs were differentially expressed in the plasma exosomes of CCS patients, with 103 up-regulated and 173 down-regulated. Among the 103 up-regulated circRNAs, 5 circRNAs with high expression levels were selected for validation. Real time quantitative PCR of the first and second validation cohort demonstrated that exo-hsa_circ_0075269 and exo-hsa_circ_0000284 were significantly up-regulated in patients with CCS. Circulating exo-hsa_circ_0075269 and exo-hsa_circ_0000284 yielded the area under the curve values of 0.761 (p < 0.001, 95%CI = 0.669, 0.852) and 0.623 (p = 0.015, 95%CI = 0.522, 0.724) for CCS, respectively, by ROC curve analysis. In conclusion, the expression profile of circRNA in plasma exosomes of patients with CCS was significantly different from that of the control group. Plasma exo-hsa_circ_0075269 and exo-hsa_circ_0000284 have the potential to be new biomarkers for CCS.

Mast cell activation and degranulation in acute artery injury: A target for post-operative therapy

The increasing incidence of cardiovascular disease (CVD) has led to a significant ongoing need to address this surgically through coronary artery bypass grafting (CABG) and percutaneous coronary interventions (PCI). From this, there continues to be a substantial burden of mortality and morbidity due to complications arising from endothelial damage, resulting in restenosis. Whilst mast cells (MC) have been shown to have a causative role in atherosclerosis and other vascular diseases, including restenosis due to vein engraftment; here, we demonstrate their rapid response to arterial wire injury, recapitulating the endothelial damage seen in PCI procedures. Using wild-type mice, we demonstrate accumulation of MC in the femoral artery post-acute wire injury, with rapid activation and degranulation, resulting in neointimal hyperplasia, which was not observed in MC-deficient KitW-sh/W-sh mice. Furthermore, neutrophils, macrophages, and T cells were abundant in the wild-type mice area of injury but reduced in the KitW-sh/W-sh mice. Following bone-marrow-derived MC (BMMC) transplantation into KitW-sh/W-sh mice, not only was the neointimal hyperplasia induced, but the neutrophil, macrophage, and T-cell populations were also present in these transplanted mice. To demonstrate the utility of MC as a target for therapy, we administered the MC stabilizing drug, disodium cromoglycate (DSCG) immediately following arterial injury and were able to show a reduction in neointimal hyperplasia in wild-type mice. These studies suggest a critical role for MC in inducing the conditions and coordinating the detrimental inflammatory response seen post-endothelial injury in arteries undergoing revascularization procedures, and by targeting the rapid MC degranulation immediately post-surgery with DSCG, this restenosis may become a preventable clinical complication.

Evaluation of C-reactive protein as predictor of adverse prognosis in acute myocardial infarction after percutaneous coronary intervention: A systematic review and meta-analysis from 18,715 individuals

BACKGROUND

Proper prognostic biomarker is of great importance for clinical decision-making in patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Although recently emerges plenty of novel inflammatory biomarkers, the canonical inflammatory mediator C-reactive protein still plays an important role in prognosing adverse post-infarction complications.

METHODS

PubMed, Embase, and Medline were systematically searched from the establishment of databases up to December 2021, conforming with standards set forth by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement.

RESULTS

A total of 23 studies were eventually eligible for this meta-analysis, including 18,715 individuals. Our findings showed that elevated C-reactive protein (CRP) had a statistically significant superiority in predicting all-cause mortality (OR: 3.22, 95% CI: [2.71, 3.84], p < 0.00001), cardiovascular death (OR: 3.26, 95% CI: [2.30, 4.61], p < 0.00001), major adverse cardiovascular events (MACEs) (OR: 2.85, 95% CI [2.08, 3.90], p < 0.00001), heart failure (OR: 2.29, 95% CI: [1.48, 3.54], p = 0.0002), recurrent myocardial infarction (OR: 1.76, 95% CI: [1.28, 2.43], p < 0.001), and restenosis (OR: 1.71, 95% CI: [1.18, 2.47], p = 0.004). Subgroup analysis implies that CRP had better performance in predicting plenty of hospitalization and short-term (<12 months) adverse prognosis than long-term prognosis and Asian patients with elevated CRP were under more risk in adverse prognosis after PCI than Europeans.

CONCLUSION

Our meta-analysis suggests that CRP is a prospective predictor of the prognosis in patients with AMI undergoing PCI, especially in hospitalization and short-term and in the Asian group.

The use of multi-site photoplethysmography (PPG) as a screening tool for coronary arterial disease and atherosclerosis

Objective. We present the design and validation of a non-invasive smart-phone based screening tool for atherosclerosis and coronary arterial disease (CAD), which is the leading cause of mortality worldwide.Approach. We designed a three-channel photoplethysmography (PPG) device that connects to a smart phone application for measuring pulse transit time (PTT) and pulse wave velocity (PWV) using PPG probes that are simultaneously clipped onto to the ear, index finger, and big toe, respectively. Validation was performed through a clinical study with 100 participants (age 20 to 77) at a research hospital in Nagpur, India. Study subjects were stratified by age and divided into three groups corresponding to the disease severity: CAD, hypertensive ('Pre-CAD'), and Healthy.Main results. PWV measurements derived from the Ear-Toe probe measurements yielded the best performance, with median PWV values increasing monotonically as a function of disease severity and age, as follows: 14.2 m s^-1for the older-patient CAD group, 12.2 m s^-1for the younger-patient CAD group, 11.6 m s^-1for the older-patient Pre-CAD group, 10.2 m s^-1for the younger-patient Pre-CAD group, 9.7 m s^-1for the older healthy controls, and 8.4 m s^-1for the younger healthy controls. Using just two simple features, the PTT and patient height, we demonstrate a machine learning prediction model for CAD with a median accuracy of 0.83 (AUC).Significance. This work demonstrates the ability to predict atherosclerosis and CAD using a single simple physiological measurement with a multi-site PPG tool that is electrically powered by a mobile phone and does not require any electrocardiogram reference. Furthermore, this method only requires a single anthropometric measurement, which is the patient's height.

Effects of antidiabetic medications on cardiovascular outcomes

OBJECTIVES

Hyperglycemia is associated with an increased risk of adverse cardiovascular outcomes, such as heart failure, coronary heart disease, stroke, and in-hospital mortality. For those receiving cardiac surgery, up to half develop hyperglycemia while 30% have a diagnosis of diabetes, which is defined by chronic hyperglycemia. Due to a prothrombic state and endovascular damage, patients with diabetes have a twofold increased risk of cardiovascular events.

METHODS

Electronic literature search was done to identify articles that have discussed antidiabetic medications and how it is impacting the glycemia status as well as cardiovascular outcomes. No limits were placed on timing of the publication or type of the article. Key words and MeSH terms were used to conduct the search and the results are summarized in a narrative manner within each relevant section.

RESULTS

Antidiabetic medications play a key role in lowering blood glucose levels to reduce adverse cardiovascular outcomes. However, it is a challenge to assess their cardiovascular safety due to confounding factors, such as age, obesity, smoking, hyperlipidemia, and high blood pressure. Further research in this field is required to understand this correlation closely.

CONCLUSION

Optimizing blood glucose level during the perioperative period with correct medication and dose have a significant role in reducing morbidities. Measures should be taken to provide a safe blood glucose level for optimum outcomes.

Oleic acid activates MMPs up-regulation through SIRT1/PPAR-γ inhibition: a probable linkage between obesity and coronary arterial disease

Obesity is positively related to the growing prevalence of coronary arterial disease (CAD). It is well established in terms of the plasma concentrations of free fatty acid (FFA) that are up-regulated in cases associating with obesity. Oleic acid (OA) is known as the most abundant monounsaturated fatty acid in the human circulatory system. Several pro-atherosclerotic responses of OA have been established. Sirtuin 1 (SIRT1) acts as a key role in regulating the normal physical function in smooth muscle cells (SMCs). SIRT1 activation is developed as a novel approach to delay the progression of atherosclerotic injuries. However, the mechanism is still unclear as to whether OA affects SIRT1 expression and its activity in SMCs. We confirmed that OA treatment represses SIRT1 and peroxisome proliferator-activated receptors-γ levels in SMCs. Moreover, OA enhances by transforming the growth factor-β1 (TGF-β1) release via activation of NF-κB. OA causes NO production by inducing the inducible nitric oxide synthase overexpression, thereby promoting the secretions of matrix metalloproteinases-1 (MMP-1) and MMP-3. Overall, we suggested that OA enhances MMPs activation through SIRT1 down-regulation. Therefore, our findings might provide a novel route for developing new therapeutic treatments for FFAs-related CADs.

Effect of almond consumption on vascular function in patients with coronary artery disease: a randomized, controlled, cross-over trial

OBJECTIVE

Almonds reduce cardiovascular disease risk via cholesterol reduction, anti-inflammation, glucoregulation, and antioxidation. The objective of this randomized, controlled, cross-over trial was to determine whether the addition of 85 g almonds daily to a National Cholesterol Education Program (NCEP) Step 1 diet (ALM) for 6 weeks would improve vascular function and inflammation in patients with coronary artery disease (CAD).

RESEARCH DESIGN AND METHODS

A randomized, controlled, crossover trial was conducted in Boston, MA to test whether as compared to a control NCEP Step 1 diet absent nuts (CON), incorporation of almonds (85 g/day) into the CON diet (ALM) would improve vascular function and inflammation. The study duration was 22 weeks including a 6-weeks run-in period, two 6-weeks intervention phases, and a 4-weeks washout period between the intervention phases. A total of 45 CAD patients (27 F/18 M, 45-77 y, BMI = 20-41 kg/m(2)) completed the study. Drug therapies used by patients were stable throughout the duration of the trial.

RESULTS

The addition of almonds to the CON diet increased plasma α-tocopherol status by a mean of 5.8%, reflecting patient compliance (P ≤0.05). However, the ALM diet did not alter vascular function assessed by measures of flow-mediated dilation, peripheral arterial tonometry, and pulse wave velocity. Further, the ALM diet did not significantly modify the serum lipid profile, blood pressure, C-reactive protein, tumor necrosis factor-α or E-selectin. The ALM diet tended to decrease vascular cell adhesion molecule-1 by 5.3% (P = 0.064) and increase urinary nitric oxide by 17.5% (P = 0.112). The ALM intervention improved the overall quality of the diet by increasing calcium, magnesium, choline, and fiber intakes above the Estimated Average Requirement (EAR) or Recommended Dietary Allowance (RDA).

CONCLUSIONS

Thus, the addition of almonds to a NECP Step 1 diet did not significantly impact vascular function, lipid profile or systematic inflammation in CAD patients receiving good medical care and polypharmacy therapies but did improve diet quality without any untoward effect.

TRIAL REGISTRATION

The trial was registered with the ClinicalTrials.Gov with the identifier: NCT00782015.

Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography

Visual identification of coronary arterial lesion from three-dimensional coronary computed tomography angiography (CTA) remains challenging. We aimed to develop a robust automated algorithm for computer detection of coronary artery lesions by machine learning techniques. A structured learning technique is proposed to detect all coronary arterial lesions with stenosis [Formula: see text]. Our algorithm consists of two stages: (1) two independent base decisions indicating the existence of lesions in each arterial segment and (b) the final decision made by combining the base decisions. One of the base decisions is the support vector machine (SVM) based learning algorithm, which divides each artery into small volume patches and integrates several quantitative geometric and shape features for arterial lesions in each small volume patch by SVM algorithm. The other base decision is the formula-based analytic method. The final decision in the first stage applies SVM-based decision fusion to combine the two base decisions in the second stage. The proposed algorithm was applied to 42 CTA patient datasets, acquired with dual-source CT, where 21 datasets had 45 lesions with stenosis [Formula: see text]. Visual identification of lesions with stenosis [Formula: see text] by three expert readers, using consensus reading, was considered as a reference standard. Our method performed with high sensitivity (93%), specificity (95%), and accuracy (94%), with receiver operator characteristic area under the curve of 0.94. The proposed algorithm shows promising results in the automated detection of obstructive and nonobstructive lesions from CTA.