The endothelialization of cardiovascular implants is supposed to improve the long-term patency of these implants. In addition, in previous studies, it has been shown, that the conditioning of endothelial cells by dynamic cultivation leads to the expression of an anti-thrombogenic phenotype. For the creation of a tissue-engineered vascular graft (TEVG), these two strategies were combined to achieve optimal hemocompatibility. In a clinical setup, this would require the transfer of the already endothelialized construct from the conditioning bioreactor to the patient. Therefore, the reversibility of the dynamic conditioning of the endothelial cells with arterial-like high shear stress (20 dyn/cm2) was investigated to define the timeframe (tested in a range of up to 24 h) for the perseverance of dynamically induced phenotypical changes. Two types of endothelial cells were compared: endothelial colony-forming cells (ECFCs) and human aortic endothelial cells (HAECs). The results showed that ECFCs respond far more sensitively and rapidly to flow than HAECs. The resulting cell alignment and increased protein expression of KLF-2, Notch-4, Thrombomodulin, Tie2 and eNOS monomer was paralleled by increased eNOS and unaltered KLF-2 mRNA levels even under stopped-flow conditions. VCAM-1 mRNA and protein expression was downregulated under flow and did not recover under stopped flow. From these time kinetic results, we concluded, that the maximum time gap between the TEVG cultivated with autologous ECFCs in future reactor cultivations and the transfer to the potential TEVG recipient should be limited to ∼6 h.
To compare differences in the foveal avascular zone (FAZ) area, measured in the Superficial Vascular Complex (SVC), Deep Vascular Complex (DVC) and a combined analysis of both (SDVC), using two Spectral Domain OCT angiography (OCT-A) protocols, High Speed (HS) and High Resolution (HR).
A total of 26 eyes of diabetic patients, with and without macular oedema, were examined with two different fovea centered OCT-A volume scans. The two protocols were HS and HR volume scans, and the foveal avascular zone was manually measured in the SVC, DVC, and SDVC slabs by two masked investigators. Inter and intraoperator variability was analysed using Intraclass Correlation Coefficient (ICC) and differences were compared between the HR and HS acquisitions throughout the different vascular slabs.
Intraoperator variability was low in all slabs (ICC > 0.9) and interoperator variability was lower for HR (ICC 0.835–0.911) compared to HS (ICC between 0.604 and 0.865). Comparing HS and HR measurements for the same slab, the correlation was only moderate in SVC and DVC (ICC was 0.640 and 0.568 respectively) but was good in the SDVC (ICC = 0.823). FAZ area measurement in SDVC also showed the smallest bias (mean difference 0.009 mm2) and the narrowest limits of agreement (−0.175 to 0.193 mm2).
Even in cases of diabetic macular oedema, when measuring the FAZ area, the reproducibility was better between HS and HR protocols when using the SDVC slab, compared to the SVC or DVC slabs alone. Further studies should evaluate the use of the combined SDVC slab for the FAZ assessment, compared to the SVC and DVC slabs alone, in the detection and progression of different retinal diseases.
To quantify conjunctival microvascular characteristics obtained by optical coherence tomographic angiography (OCTA) and investigate their relationship with the presence and severity of coronary artery disease (CAD).
This cross-sectional study included 103 consecutive CAD patients confirmed by coronary angiography and 125 non-CAD controls. The temporal conjunctivas along the limbus of each participant were scanned using OCTA. Quantification of conjunctival microvasculature was performed by AngioTool software. The severity of the disease was evaluated using SYNTAX and Gensini scores.
Compared to the controls, the CAD group exhibited significantly lower vessel area density (30.22 ± 3.34 vs. 26.70 ± 4.43 %, p < 0.001), lower vessel length density (6.39 ± 0.77 vs. 5.71 ± 0.89/m, p < 0.001), lower junction density (3.44 ± 0.56 vs. 3.05 ± 0.63/m, p < 0.001), and higher lacunarity (0.11 ± 0.03 vs. 0.14 ± 0.05, p < 0.001). Among all participants, lower vessel area density, lower vessel length density, lower junction density, and higher lacunarity were associated with greater odds of having CAD; the adjusted ORs (95 % confidence intervals) per one SD decrease were 2.71 (1.71, 4.29), 2.51(1.61, 3.90), 2.06 (1.39, 3.05), and 0.36 (0.23, 0.58), respectively. Among CAD patients, junction density was negatively associated with the Gensini score (r = −0.359, p = 0.037) and the Syntax score (r = −0.350, p = 0.042) in women but not in men (p > 0.05).
Conjunctival microvascular characteristics were significantly associated with the presence of CAD. Junction density significantly associated with the severity of CAD among women patients.
To investigate the healing process of conjunctival autografts (CAG) following pterygium surgery using optical coherence tomography angiography (OCTA).
Twenty-one eyes of 21 patients diagnosed with pterygium underwent pterygium excision with CAG without using Mitomycin-C. Over a 12-week follow-up period, changes in vascular density (VD), vascular density index (VDI), and vascular length density (VLD) were assessed at two distinct depths: superficial (<200 μm) and deep (>200 μm) using OCTA. Additionally, the revascularization rate and pattern were evaluated.
During the first week, the CAG was edematous and no sign of neovascularization was observed. In 4th week edema decreased and early signs of vascular formation appeared. In the 12th week, the deep vasculature demonstrated a greater density of interconnectivity compared to the superficial layers. VD and VLD significantly increased during the follow-up period (P < 0.05). The CAG blood flow signals exhibited a chaotic pattern, deviating from the expected centrifugal vascular pattern in the surrounding normal conjunctiva.
OCTA imaging emerges as a reliable tool for the assessment of CAG vascularization, improving the monitoring of the healing process in the postoperative period. The evaluation of CAG revascularization patterns appears to be promising biomarkers that can predict the potential future recurrence.
Vascular function is impaired in patients with aortic valve stenosis (AS). The impact of transcatheter aortic valve implantation (TAVI) on endothelial function is inconclusive so far. Therefore, we sought to assess the short-term influence of TAVI on endothelial dysfunction in patients with AS.
We recruited 47 patients (76.6 % male, 80.04 years old) with AS scheduled for TAVI. Endothelial function was assessed by fingertip reactive hyperemia peripheral arterial tonometry (RH-PAT). Measurements were conducted one day before and three days after TAVI. Patients were grouped according to RH-PAT change after TAVI.
Overall, RH-PAT measurements did not significantly improve after TAVI (Reactive Hyperemia Index: 1.5 vs 1.6, p = 0.883; logarithm of the Reactive Hyperemia Index: 0.44 vs. 0.49, p = 0.523). Interestingly, patients with no RH-PAT improvement after TAVI displayed a more severe AS and had lower blood pressure after TAVI. This might be due to a more disturbed blood flow in patients with a smaller aortic valve area and higher peak aortic valve velocity.
The relationship between AS severity, endothelial dysfunction and TAVI has to be investigated in future research that apply longitudinal study designs.
Fluorescence intravital microscopy captures large data sets of dynamic multicellular interactions within various organs such as the lungs, liver, and brain of living subjects. In medical imaging, edge detection is used to accurately identify and delineate important structures and boundaries inside the images. To improve edge sharpness, edge detection frequently requires the inclusion of low-level features. Herein, a machine learning approach is needed to automate the edge detection of multicellular aggregates of distinctly labeled blood cells within the microcirculation. In this work, the Structured Adaptive Boosting Trees algorithm (AdaBoost.S) is proposed as a contribution to overcome some of the edge detection challenges related to medical images. Algorithm design is based on the observation that edges over an image mask often exhibit special structures and are interdependent. Such structures can be predicted using the features extracted from a bigger image patch that covers the image edge mask. The proposed AdaBoost.S is applied to detect multicellular aggregates within blood vessels from the fluorescence lung intravital images of mice exposed to e-cigarette vapor. The predictive capabilities of this approach for detecting platelet-neutrophil aggregates within the lung blood vessels are evaluated against three conventional machine learning algorithms: Random Forest, XGBoost and Decision Tree. AdaBoost.S exhibits a mean recall, F-score, and precision of 0.81, 0.79, and 0.78, respectively. Compared to all three existing algorithms, AdaBoost.S has statistically better performance for recall and F-score. Although AdaBoost.S does not outperform Random Forest in precision, it remains superior to the XGBoost and Decision Tree algorithms. The proposed AdaBoost.S is widely applicable to analysis of other fluorescence intravital microscopy applications including cancer, infection, and cardiovascular disease.
Sufficient perfusion is essential for a safe intestinal anastomosis. Impaired microcirculation may lead to increased bacterial translocation and anastomosis insufficiency. Thus, it is important to estimate well the optimal distance of the anastomosis line from the last mesenterial vessel. However, it is still empiric. In this experiment the aim was to investigate the intestinal microcirculation at various distances from the anastomosis in a pig model.
On 8 anesthetized pigs paramedian laparotomy and end-to-end jejuno-jejunostomy were performed. Using Cytocam-IDF camera, microcirculatory recordings were taken before surgery at the planned suture line, and 1 to 3 mesenterial vessel mural trunk distance from it, and at the same sites 15 and 120 min after anastomosis completion. After the microcirculation monitoring, anastomosed and intact bowel segments were removed to test tensile strength.
The proportion and the density of the perfused vessels decreased significantly after anastomosis completion. The perfusion rate increased gradually distal from the anastomosis, and after 120 min these values seemed to be normalized. Anastomosed bowels had significantly lower maximal tensile strength and higher slope of tensile strength curves than intact controls.
Alterations in microcirculation and tensile strength were observed. After completing the anastomosis, the improvement in perfusion increased gradually away from the wound edge. The IDF device was useful to monitor intestinal microcirculation providing data to estimate better the optimal distance of the anastomosis from the last order mesenteric vessel.
Using a mouse model of MPA with microvascular lesion with a clone (VasSF) of recombinant single chain fragments of the variable region of human IgG, we previously showed that vasculitis-associated apolipoprotein A2 (VAP2) may be a therapeutic target for vasculitis. The present study estimated the target molecules for VasSF and the association between VAP2 and cytokine levels in patient sera in terms of microvascular lesion severity.
Sera and clinical information were collected from patients with microscopic polyangiitis and granulomatosis with polyangiitis (MPA/GPA) and infectious disease. Neutrophil counts, levels of C-reactive protein (CRP), creatinine, total cholesterol associated with microvascular lesion, HDL cholesterol, low-density lipoprotein cholesterol, triglycerides, glomerular filtration rate (eGFR), and cytokines were estimated. Serum VAP2 signals were determined with Western blotting.
VasSF bound to a 24 kDa molecule in the serum of active MPA/GPA patients. Anti-AP2 antibody also bound with the same 24 kDa molecule, named VAP2, because of size difference from normal APOA2. The VAP2 signal was significantly stronger in the active-disease group but significantly weakened in remission. The signal correlated positively with eGFR but not with the Birmingham Vasculitis Activity Score, CRP, MPO-ANCA, or PR3-ANCA levels. It correlated negatively with MPO activity, IL-16, MIF, and IL-1Ra. Moreover, VasSF bound to a 17 kDa molecule in the remission phase.
The 24 kDa VAP2 molecule may be associated with neutrophil functions because of its inverse correlation with MPO activity, IL-16, MIF, and IL-1Ra, suggesting that VAP2-APOA1 formation in HDL triggers microvascular injury. VasSF may reverse the injury by removing APOA1-VAP2 heterodimers from peripheral blood vessels.
Systemic inflammation and hemodynamic or microvascular alterations are a hallmark of sepsis and play a role in organs hypoperfusion and dysfunction. Pimobendan, an inodilator agent, could be an interesting option for inotropic support and microcirculation preservation during shock. The objectives of this study were to evaluate effect of pimobendan on cytokine and nitric oxide (NO) release and investigate whether changes of macro and microcirculation parameters are associated with the release of cytokines and NO in pigs sepsis model. After circulatory failure, induced by intravenous inoculation of live Pseudomonas aeruginosa, eight animals were treated with pimobendan and eight with placebo.
Pimobendan did not affect cytokines secretion (TNF-α, IL-6 and IL-10), but decreased time-dependently NO release. Data of macro and microcirculation parameters, NO and TNF- α recorded at the time of circulatory failure (Thypotension) and the time maximum of production cytokines was used for analyses. A positive correlation was observed between TNF-α and cardiac index (r = 0.55, p = 0.03) and a negative with systemic vascular resistance (r = −0.52, p = 0.04). Positive correlations were seen both between IL-10, 30 min after resuscitation (T30min), and systolic arterial pressure (r = 0.57, p = 0.03) and cardiac index (r = 0.67, p = 0.01), and also between IL-6, taken 2 h after resuscitation and systolic arterial pressure (r = 0.53, p = 0.04). Negative correlations were found between IL-10 and lactate, measured resuscitation time (r = −0.58, p = 0.03). Regarding microcirculation parameters, we observed a positive correlation between IL-6 and IL-10 with the microvascular flow index (r = 0.52, p = 0.05; r = 0.84, p = 0.0003) and a negative correlation with the heterogeneity index with TNF-α and IL-10 (r = −0.51, p = 0.05; r = −0.74, p = 0.003) respectively. NO derivatives showed a positive correlation with temperature gradient (r = 0.54, p = 0.04).
Pimobendan did not show anti-inflammatory effects in cytokines release. Our results also, suggest changes of macro- and microcirculation are associated mainly with low levels of IL-10 in sepsis.