An exploratory analysis of routine ferritin measurement upon admission and the prognostic implications of low-grade ferritinemia during inflammation.

BACKGROUND: Serum ferritin is usually measured in the presence of anemia or in suspected iron overload syndromes. Ferritin is also an acute-phase protein that is elevated during systemic inflammation. However, the prognostic value of routinely measuring ferritin upon admission to a medical facility is not clear. Therefore, we examined the association between ferritin concentrations measured at the time of hospital admission with 30-day and long-term mortality. METHODS: We obtained routine ferritin measurements taken within 24 hours of admission in 2,859 patients hospitalized in an internal medicine department. Multiple clinical and laboratory parameters were used to assess the association between ferritin and overall mortality during a median follow-up of 15 months (interquartile range [IQR] 8-22). RESULTS: Ferritin levels were associated with increased 30-day mortality rates (odds ratio [OR] 1.04, 95% confidence interval [CI] 1.03-1.06) for each 100 ng/ml increase. Patients with intermediate (78-220 ng/ml) and high (>221 ng/ml) ferritin concentrations (2nd and 3rd tertiles) had higher 30-day mortality rates even after adjustment for age, sex, and existing co-morbidities (OR 2.05, 95% CI 1.70-2.5). Long-term overall mortality rates demonstrated a similar pattern across ferritin tertiles (hazard ratio [HR] 1.54, 95% CI 1.39-1.71). CONCLUSIONS: Routine admission ferritin concentrations are linearly and independently correlated with excess mortality risk in hospitalized patients, even those with apparently "normal" ferritin concentrations (<300 mg/ml). Thus, low-grade ferritinemia might not be an innocent finding in the context of the inflammatory response. Its potential biological and therapeutic implications warrant future research.

The CRP troponin test (CTT) stratifies mortality risk in patients with non-ST elevation myocardial infarction (NSTEMI).

INTRODUCTION: The C-reactive protein (CRP)-troponin-test (CTT) comprises simultaneous serial measurements of CRP and cardiac troponin and might reflect the systemic inflammatory response in patients with acute coronary syndrome. We sought to test its ability to stratify the short- and long-term mortality risk in patients with non-ST elevation myocardial infarction (NSTEMI). METHODS: We examined 1,675 patients diagnosed with NSTEMI on discharge who had at least two successive measurements of combined CRP and cardiac troponin within 48 h of admission. A tree classifier model determined which measurements and cutoffs could be used to best predict mortality during a median follow-up of 3 years [IQR 1.8-4.3]. RESULTS: Patients with high CRP levels ( > 90th percentile, >54 mg/L) had a higher 30-day mortality rate regardless of their troponin test findings (16.7% vs. 2.9%, p < 0.01). However, among patients with "normal" CRP levels ( < 54 mg/L), those who had high troponin levels ( > 80th percentile, 4,918 ng/L) had a higher 30-day mortality rate than patients with normal CRP and troponin concentrations (7% vs. 2%, p < 0.01). The CTT test result was an independent predictor for overall mortality even after adjusting for age, sex, and comorbidities (HR = 2.28 [95% CI 1.56-3.37], p < 0.01 for patients with high troponin and high CRP levels). CONCLUSIONS: Early serial CTT results may stratify mortality risk in patients with NSTEMI, especially those with "normal" CRP levels. The CTT could potentially assess the impact of inflammation during myocardial necrosis on the outcomes of patients with NSTEMI and identify patients who could benefit from novel anti-inflammatory therapies.

Sodium-glucose co-transporter-2 inhibitors in patients treated with immune checkpoint inhibitors.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized the prognosis of cancer. Diabetes mellitus (DM) has been shown to have a negative effect on patients treated with ICIs. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are effective antidiabetic therapies associated with reduced all-cause mortality and cardiovascular (CV) outcomes. OBJECTIVE: To evaluate the prognostic value of SGLT2i on all-cause mortality and cardiotoxicity among patients treated with ICIs. METHODS: We performed a retrospective analysis of patients diagnosed with cancer and type 2 DM (DM2) and treated with ICIs at our center. Patients were divided into two groups according to baseline treatment with or without SGLT2i. The primary endpoint was all-cause mortality and the secondary endpoint was MACE, including myocarditis, acute coronary syndrome, heart failure, and arrhythmia. RESULTS: The cohort included 119 patients, with 24 (20%) patients assigned to the SGLT2i group. Both groups exhibited a comparable prevalence of cardiac risk factors, although the SGLT2i group displayed a higher incidence of ischemic heart disease. Over a median follow-up of 28 months, 61 (51%) patients died, with a significantly lower all-cause mortality rate in the SGLT2i group (21% vs. 59%, p = 0.002). While there were no significant differences in MACE, we observed zero cases of myocarditis and atrial fibrillation in the SGLT2i, compared to 2 and 6 cases in the non-SGLT2i group. CONCLUSIONS: SGLT2i therapy was associated with a lower all-cause mortality rate in patients diagnosed with cancer and DM2 and treated with ICIs. Further studies are needed to understand the mechanism and evaluate its benefit on cardiotoxicity.

Smartphone-based detection of COVID-19 and associated pneumonia using thermal imaging and a transfer learning algorithm.

COVID-19-related pneumonia is typically diagnosed using chest x-ray or computed tomography images. However, these techniques can only be used in hospitals. In contrast, thermal cameras are portable, inexpensive devices that can be connected to smartphones. Thus, they can be used to detect and monitor medical conditions outside hospitals. Herein, a smartphone-based application using thermal images of a human back was developed for COVID-19 detection. Image analysis using a deep learning algorithm revealed a sensitivity and specificity of 88.7% and 92.3%, respectively. The findings support the future use of noninvasive thermal imaging in primary screening for COVID-19 and associated pneumonia.

Transitioning from having no metabolic abnormality nor obesity to metabolic impairment in a cohort of apparently healthy adults.

INTRODUCTION: The global prevalence of metabolic syndrome and its association with increased morbidity and mortality has been rigorously studied. However, the true prevalence of "metabolic health", i.e. individuals without any metabolic abnormalities is not clear. Here, we sought to determine the prevalence of "metabolically healthy" individuals and characterize the "transition phase" from metabolic health to development of dysfunction over a follow-up period of 5 years. METHODS: We included 20,507 individuals from the Tel Aviv Sourasky Medical Center Inflammation Survey (TAMCIS) which comprises apparently healthy individuals attending their annual health survey. A second follow-up visit was documented after 4.8 (± 0.6) years. We defined a group of metabolically healthy participants without metabolic abnormalities nor obesity and compared their characteristics and change in biomarkers over time to participants who developed metabolic impairment on their follow-up visit. The intersections of all metabolic syndrome components and elevated high sensitivity C-reactive protein (hs-CRP) were also analyzed. RESULTS: A quarter of the cohort (5379 individuals, (26.2%) did not fulfill any metabolic syndrome criteria during their baseline visit. A total of 985 individuals (12.7% of returning participants) developed metabolic criteria over time with hypertension being the most prevalent component to develop among these participants. Individuals that became metabolically impaired over time demonstrated increased overlap between metabolic syndrome criteria and elevated hs-CRP levels. The group that became metabolically impaired over time also presented higher delta values of WBC, RBC, liver biomarkers, and uric acid compared with participants who were consistently metabolically impaired. LDL-C (low-density lipoprotein cholesterol) delta levels were similar. CONCLUSIONS: Roughly one-quarter of apparently healthy adults are defined as "metabolically healthy" according to current definitions. The transition from health to metabolic dysfunction is accompanied with active inflammation and several non-metabolic syndrome biomarkers. Aggressive screening for these biomarkers, blood pressure and hs-CRP might help identify apparently healthy individuals at increased risk of developing metabolic syndrome over time.

CRISPR-Cas9 editing of TLR4 to improve the outcome of cardiac cell therapy.

Inflammation and fibrosis limit the reparative properties of human mesenchymal stromal cells (hMSCs). We hypothesized that disrupting the toll-like receptor 4 (TLR4) gene would switch hMSCs toward a reparative phenotype and improve the outcome of cell therapy for infarct repair. We developed and optimized an improved electroporation protocol for CRISPR-Cas9 gene editing. This protocol achieved a 68% success rate when applied to isolated hMSCs from the heart and epicardial fat of patients with ischemic heart disease. While cell editing lowered TLR4 expression in hMSCs, it did not affect classical markers of hMSCs, proliferation, and migration rate. Protein mass spectrometry analysis revealed that edited cells secreted fewer proteins involved in inflammation. Analysis of biological processes revealed that TLR4 editing reduced processes linked to inflammation and extracellular organization. Furthermore, edited cells expressed less NF-ƙB and secreted lower amounts of extracellular vesicles and pro-inflammatory and pro-fibrotic cytokines than unedited hMSCs. Cell therapy with both edited and unedited hMSCs improved survival, left ventricular remodeling, and cardiac function after myocardial infarction (MI) in mice. Postmortem histologic analysis revealed clusters of edited cells that survived in the scar tissue 28 days after MI. Morphometric analysis showed that implantation of edited cells increased the area of myocardial islands in the scar tissue, reduced the occurrence of transmural scar, increased scar thickness, and decreased expansion index. We show, for the first time, that CRISPR-Cas9-based disruption of the TLR4-gene reduces pro-inflammatory polarization of hMSCs and improves infarct healing and remodeling in mice. Our results provide a new approach to improving the outcomes of cell therapy for cardiovascular diseases.

Automatized Detection of Crohn's Disease in Intestinal Ultrasound Using Convolutional Neural Network.

INTRODUCTION: The use of intestinal ultrasound (IUS) for the diagnosis and follow-up of inflammatory bowel disease is steadily growing. Although access to educational platforms of IUS is feasible, novice ultrasound operators lack experience in performing and interpreting IUS. An artificial intelligence (AI)-based operator supporting system that automatically detects bowel wall inflammation may simplify the use of IUS by less experienced operators. Our aim was to develop and validate an artificial intelligence module that can distinguish bowel wall thickening (a surrogate of bowel inflammation) from normal bowel images of IUS. METHODS: We used a self-collected image data set to develop and validate a convolutional neural network module that can distinguish bowel wall thickening >3 mm (a surrogate of bowel inflammation) from normal bowel images of IUS. RESULTS: The data set consisted of 1008 images, distributed uniformly (50% normal images, 50% abnormal images). Execution of the training phase and the classification phase was performed using 805 and 203 images, respectively. The overall accuracy, sensitivity, and specificity for detection of bowel wall thickening were 90.1%, 86.4%, and 94%, respectively. The network exhibited an average area under the ROC curve of 0.9777 for this task. CONCLUSIONS: We developed a machine-learning module based on a pretrained convolutional neural network that is highly accurate in the recognition of bowel wall thickening on intestinal ultrasound images in Crohn's disease. Incorporation of convolutional neural network to IUS may facilitate the use of IUS by inexperienced operators and allow automatized detection of bowel inflammation and standardization of IUS imaging interpretation.

We developed a machine-learning module based on a pretrained convolutional neural network that is highly accurate in the recognition of bowel wall thickening on intestinal ultrasound images in Crohn's disease.

Automated thermal imaging monitors the local response to cervical cancer brachytherapy.

Malignant tumors have high metabolic and perfusion rates, which result in a unique temperature distribution as compared to healthy tissues. Here, we sought to characterize the thermal response of the cervix following brachytherapy in women with advanced cervical carcinoma. Six patients underwent imaging with a thermal camera before a brachytherapy treatment session and after a 7-day follow-up period. A designated algorithm was used to calculate and store the texture parameters of the examined tissues across all time points. We used supervised machine learning classification methods (K Nearest Neighbors and Support Vector Machine) and unsupervised machine learning classification (K-means). Our algorithms demonstrated a 100% detection rate for physiological changes in cervical tumors before and after brachytherapy. Thus, we showed that thermal imaging combined with advanced feature extraction could potentially be used to detect tissue-specific changes in the cervix in response to local brachytherapy for cervical cancer.

Early Detection of Inflammation-Prone STEMI Patients Using the CRP Troponin Test (CTT).

Elevated concentrations of C-reactive protein (CRP) early during an acute coronary syndrome (ACS) may reflect the magnitude of the inflammatory response to myocardial damage and are associated with worse outcome. However, the routine measurement of both CRP and cardiac troponin simultaneously in the setting of ST-segment myocardial infarction (STEMI) is not used broadly. Here, we sought to identify and characterize individuals who are prone to an elevated inflammatory response following STEMI by using a combined CRP and troponin test (CTT) and determine their short- and long-term outcome. We retrospectively examined 1186 patients with the diagnosis of acute STEMI, who had at least two successive measurements of combined CRP and cardiac troponin (up to 6 h apart), all within the first 48 h of admission. We used Chi-Square Automatic Interaction Detector (CHAID) tree analysis to determine which parameters, timing (baseline vs. serial measurements), and cut-offs should be used to predict mortality. Patients with high CRP concentrations (above 90th percentile, >33 mg/L) had higher 30 day and all-cause mortality rates compared to the rest of the cohort, regardless of their troponin test status (above or below 118,000 ng/L); 14.4% vs. 2.7%, p < 0.01. Furthermore, patients with both high CRP and high troponin levels on their second measurement had the highest 30-day mortality rates compared to the rest of the cohort; 21.4% vs. 3.7%, p < 0.01. These patients also had the highest all-cause mortality rates after a median follow-up of 4.5 years compared to the rest of the cohort; 42.9% vs. 12.7%, p < 0.01. In conclusion, serial measurements of both CRP and cardiac troponin might detect patients at increased risk for short-and long-term mortality following STEMI. We suggest the future use of the combined CTT as a potential early marker for inflammatory-prone patients with worse outcomes following ACS. This sub-type of patients might benefit from early anti-inflammatory therapy such as colchicine and anti-interleukin-1ß agents.

Automated processing of thermal imaging to detect COVID-19.

Rapid and sensitive screening tools for SARS-CoV-2 infection are essential to limit the spread of COVID-19 and to properly allocate national resources. Here, we developed a new point-of-care, non-contact thermal imaging tool to detect COVID-19, based on advanced image processing algorithms. We captured thermal images of the backs of individuals with and without COVID-19 using a portable thermal camera that connects directly to smartphones. Our novel image processing algorithms automatically extracted multiple texture and shape features of the thermal images and achieved an area under the curve (AUC) of 0.85 in COVID-19 detection with up to 92% sensitivity. Thermal imaging scores were inversely correlated with clinical variables associated with COVID-19 disease progression. In summary, we show, for the first time, that a hand-held thermal imaging device can be used to detect COVID-19. Non-invasive thermal imaging could be used to screen for COVID-19 in out-of-hospital settings, especially in low-income regions with limited imaging resources.

Extracellular Vesicles From Epicardial Fat Facilitate Atrial Fibrillation.

BACKGROUND: The role of epicardial fat (eFat)-derived extracellular vesicles (EVs) in the pathogenesis of atrial fibrillation (AF) has never been studied. We tested the hypothesis that eFat-EVs transmit proinflammatory, profibrotic, and proarrhythmic molecules that induce atrial myopathy and fibrillation. METHODS: We collected eFat specimens from patients with (n=32) and without AF (n=30) during elective heart surgery. eFat samples were grown as organ cultures, and the culture medium was collected every 2 days. We then isolated and purified eFat-EVs from the culture medium, and analyzed the EV number, size, morphology, specific markers, encapsulated cytokines, proteome, and microRNAs. Next, we evaluated the biological effects of unpurified and purified EVs on atrial mesenchymal stromal cells and endothelial cells in vitro. To establish a causal association between eFat-EVs and vulnerability to AF, we modeled AF in vitro using induced pluripotent stem cell-derived cardiomyocytes. RESULTS: Microscopic examination revealed excessive inflammation, fibrosis, and apoptosis in fresh and cultured eFat tissues. Cultured explants from patients with AF secreted more EVs and harbored greater amounts of proinflammatory and profibrotic cytokines, and profibrotic microRNA, as well, than those without AF. The proteomic analysis confirmed the distinctive profile of purified eFat-EVs from patients with AF. In vitro, purified and unpurified eFat-EVs from patients with AF had a greater effect on proliferation and migration of human mesenchymal stromal cells and endothelial cells, compared with eFat-EVs from patients without AF. Last, whereas eFat-EVs from patients with and without AF shortened the action potential duration of induced pluripotent stem cell-derived cardiomyocytes, only eFat-EVs from patients with AF induced sustained reentry (rotor) in induced pluripotent stem cell-derived cardiomyocytes. CONCLUSIONS: We show, for the first time, a distinctive proinflammatory, profibrotic, and proarrhythmic signature of eFat-EVs from patients with AF. Our findings uncover another pathway by which eFat promotes the development of atrial myopathy and fibrillation.

Computed Tomography-Guided Lung Biopsy: Does a Rural Hospital Do Better?

BACKGROUND: Lung percutaneous needle biopsy (PNB) is routinely used to diagnose lung cancer. The most prevalent complications of PNB are pneumothorax and bleeding. Differences in characteristics of medical procedures between rural and urban hospitals are well known. OBJECTIVES: To compare characteristics of patients and lesions between two hospitals and to evaluate whether lung PNB complications differ in rural vs. urban settings. METHODS: The authors examined case records of 561 patients who underwent lung biopsy at two different medical centers in Israel: Tel Aviv Sourasky Medical Center (urban) and Barzilai Medical Center (rural). To evaluate the complication rates, the authors analyzed findings from chest X-ray performed 2 hours after biopsy and computed tomography (CT) images at the site of biopsy. RESULTS: The study comprised 180 patients who underwent lung biopsy at Barzilai and 454 at Sourasky. The rate of pneumothorax did not differ between centers (12% at Barzilai and 19% at Sourasky, P = 0.08). Distance from pleura was positively correlated to pneumothorax occurrence in both centers; however, neither lesion size nor lesion locus was found to be a risk factor for pneumothorax. Mild bleeding at the biopsy site occurred equally at Barzilai and Sourasky (32% vs. 36%, P = 0.3, respectively). Furthermore, immediate CT post-biopsy at Barzilai showed 95% negative predictive value, showing that a CT scan performed immediately after lung biopsy cannot replace the routine follow-up chest X-ray in predicting iatrogenic pneumothorax. CONCLUSIONS: CT-guided percutaneous lung biopsies are comparable between rural and urban hospitals regarding procedure characteristics and complication rates.

Blood acetylcholinesterase activity is associated with increased 10 year all-cause mortality following coronary angiography.

BACKGROUND AND AIMS: Parasympathetic dysfunction is associated with increased risk for major adverse cardiovascular events (MACE). However, clinically validated biomarkers that reflect parasympathetic activity are not yet available. We sought to assess the ability of serum cholinesterase activity to predict long term survival in patients undergoing coronary angiography. METHODS: We prospectively followed 1002 consecutive patients undergoing clinically indicated coronary angiography (acute coronary syndrome or stable angina). We measured blood acetylcholinesterase (AChE) activity using the acetylcholine analog acetylthiocholine. Mortality rates were determined up to 10 years of follow-up. We divided our cohort into 3 groups with low, intermediate and high AChE activity by a Chi-square automatic interaction detection method (CHAID). RESULTS: Patients with lower than cutoff levels of AChE (<300 nmol/min/ml) had higher mortality rates over 10 years of follow-up, after adjusting for conventional risk factors, biomarkers, clinical indication, and use of medications (HR = 1.6, 95% CI 1.1-2.5, p = 0.02). Patients with intermediate levels of AChE (300-582 nmol/min/ml) were also at increased risk for death (HR = 1.4, 95% CI 1.1-1.9, p = 0.02). AChE was inversely correlated with C-reactive protein, troponin I, fibrinogen and neutrophil/lymphocyte ratio levels. CONCLUSIONS: Patients presenting for coronary angiography with low levels of serum AChE activity are at increased risk for death during long term follow-up.

Automated thermal imaging for the detection of fatty liver disease.

Non-alcoholic fatty liver disease (NAFLD) comprises a spectrum of progressive liver pathologies, ranging from simple steatosis to non-alcoholic steatohepatitis (NASH), fibrosis and cirrhosis. A liver biopsy is currently required to stratify high-risk patients, and predicting the degree of liver inflammation and fibrosis using non-invasive tests remains challenging. Here, we sought to develop a novel, cost-effective screening tool for NAFLD based on thermal imaging. We used a commercially available and non-invasive thermal camera and developed a new image processing algorithm to automatically predict disease status in a small animal model of fatty liver disease. To induce liver steatosis and inflammation, we fed C57/black female mice (8 weeks old) a methionine-choline deficient diet (MCD diet) for 6 weeks. We evaluated structural and functional liver changes by serial ultrasound studies, histopathological analysis, blood tests for liver enzymes and lipids, and measured liver inflammatory cell infiltration by flow cytometry. We developed an image processing algorithm that measures relative spatial thermal variation across the skin covering the liver. Thermal parameters including temperature variance, homogeneity levels and other textural features were fed as input to a t-SNE dimensionality reduction algorithm followed by k-means clustering. During weeks 3,4, and 5 of the experiment, our algorithm demonstrated a 100% detection rate and classified all mice correctly according to their disease status. Direct thermal imaging of the liver confirmed the presence of changes in surface thermography in diseased livers. We conclude that non-invasive thermal imaging combined with advanced image processing and machine learning-based analysis successfully correlates surface thermography with liver steatosis and inflammation in mice. Future development of this screening tool may improve our ability to study, diagnose and treat liver disease.

Exercise-induced albuminuria increases over time in individuals with impaired glucose metabolism.

BACKGROUND: Exercise induced albuminuria (EiA) is elevated in patients with metabolic dysfunction and diabetes, and may serve as an early biomarker for endothelial dysfunction and "kidney reserve". However, the change in EiA levels over time and its interaction with metabolic dysfunction and glucose metabolism has never been studied. Therefore, we sought to determine EiA levels over time in a cohort of individuals attending a routine annual health survey. METHODS: We prospectively enrolled 412 patients attending an annual healthy survey at our Medical Center. We collected urine samples for albumin and creatinine measurements before and immediately after completing an exercise stress test, along with multiple physiologic and metabolic parameters. Participants returned to a second follow up visit after a mean follow up period of 3 years (± 1.7 SD). RESULTS: Patients with diagnosed diabetes and subjects with HbA1c ≥ 6.5% significantly increased their EiA over time (median [IQR] change between visits = 19.5 [- 10.4-56.1] vs. - 1.1 [- 12.7-4.9] (p = 0.049) for diabetics vs non-diabetics respectively). Moreover, a diabetes diagnosis was significantly associated with a high increase in EiA over time (top 10th percentile) even after adjusting for age, BMI, eGFR, METs, self-reported history of heart disease, systolic and diastolic blood pressure; OR = 4.4 (1.01-19.3 95% CI) (p = 0.049). Finally, elevated fasting blood glucose (≥ 100 mg/dl) was the strongest and only significant predictor for a greater increase in EiA over time after adjusting for all five metabolic syndrome components; blood glucose, waist circumference, blood triglycerides, HDL cholesterol, and BP criteria; OR = 4.0 (1.6-9.8 95% CI) (p < 0.01). CONCLUSIONS: Patients with diabetes and/or elevated fasting blood glucose increase their exercise-induced urinary albumin excretion over time. The ability of EiA to predict major clinical outcomes in patients with and without diabetes needs to be determined in future studies.

The yield of immediate post lung biopsy CT in predicting iatrogenic pneumothorax.

BACKGROUND: The most prevalent complication of percutaneous lung biopsy is pneumothorax (PNX). A routine immediate post-procedure CT scan (ICT) to spot PNX is done in many centers. However, the diagnostic yield of this practice has not been studied broadly. We sought to evaluate whether an ICT could replace the routine follow-up chest X-ray (CXR) in detecting procedure related PNX. METHODS: We examined case-records of 453 patients who underwent lung biopsy at our medical center. We analyzed findings from CXR performed 2-h after biopsy and from CT images at the site of biopsy acquired immediately after the procedure (ICT). Multivariate analysis was used to identify the risk factors for PNX, and we examined the concordance between ICT and CXR-2-h post-procedure. RESULTS: A total of 87 patients (19%) were diagnosed with PNX on CXR-2-h post-procedure. ICT detected 80.5% of diagnosed PNX (p <  0.01). However, ICT demonstrated a negative predictive value of only 94%, meaning 17 patients (6%) with a negative ICT did eventually develop PNX seen on CXR. Furthermore, bleeding surrounding the puncture area spotted on ICT negatively predicted the development of PNX (OR = 0.4 95% CI; 0.2-0.7). CONCLUSIONS: We conclude that a CT scan performed immediately after percutaneous lung biopsy cannot replace the routine follow-up CXR in predicting iatrogenic PNX. Bleeding in the needle's tract may lower the risk for procedure-related PNX.

Non-invasive thermal imaging of cardiac remodeling in mice.

Thermal infrared imaging has been suggested as a non-invasive alternative to monitor physiological processes and disease. However, the use of this technique to image internal organs, such as the heart, has not yet been investigated. We sought to determine the ability of our novel thermal image-processing algorithm to detect structural and functional changes in a mouse model of hypertension and cardiac remodeling. Twelve mice were randomly assigned to receive either the pro-inflammatory, hypertensive hormone angiotensin-II (2 mg/kg/day, n = 6) or saline (n = 6) infusion for 28 days. We performed weekly blood pressure measurements, together with serial trans-thoracic echocardiography studies and histopathological evaluation of the hearts. Thermal images were captured with a commercially available thermal camera, and images were processed by our novel algorithm which analyzes relative spatial temperature variation across the animal's thorax. We assessed cardiac inflammation by measuring inflammatory cell infiltration through flow cytometry. Angiotensin infusion increased blood pressure together with cardiac hypertrophy and fibrosis. Thermal imaging at day 28 of the experiment detected an increase in the fraction of the skin heated by the heart in angiotensin-treated mice. Thermal image findings were significantly correlated to left ventricular volume and mass parameters seen on echocardiography (r = 0.8, p < 0.01 and r = 0.6, p = 0.07). We also identified distinct changes in the spatial heat profiles of all angiotensin-treated hearts, possibly reflecting remodeling processes in the hypertensive heart. Finally, a machine learning based model using thermal imaging parameters predicted intervention status in 10 out of 11 mice similar to a model using echocardiographic measurements. Our findings suggest, for the first time, that a new thermal image-processing algorithm successfully correlates surface thermography with cardiac structural changes in mice with hypertensive heart disease.

Familial history of heart disease and increased risk for elevated troponin in apparently healthy individuals.

BACKGROUND: Family history of heart disease (FH-HD) is associated with an increase drisk of subsequent HD. High sensitive cardiac troponin T (hs-cTnT) is arecognized biomarker of myocyte injury even in HD free patients. We examined the association between FH-HD and hs-cTnT in apparently healthy individuals. HYPOTHESIS: FH-HD is associated with elevated hs-cTnT in apparently healthy individuals. METHODS: In a cross sectional study we analyzed data of apparently healthy individuals (n=3,821) recruited for the Tel-Aviv Medical Center Inflammation Survey (TAMCIS). Blood samples were obtained for hs-cTnT and high sensitive CRP (hs-CRP) among other tests. FH-HD was defined as first degree family member with HD diagnosis and classified as premature if the diagnosis was done before the age of 55 for men or 65 for women. RESULTS: Elevated hs-cTnT (>14 ng/L) was more common in FH-HD of any age, and in premature FH-HD (FH-P-HD) participants than in participants without FH-HD (4.4% vs 2.0%, p<0.001 and 4.3% vs 2.0%, p=0.001, respectively). Adjustmentfor potential risk factors with association to elevated hs-cTnT (age, sex, BMI, hypertension, diabetes, hs-CRP, smoking and physical activity), showed that FH-HD and FH-P-HD remained significantly associated with elevated hs-cTnT (OR=1.62, p=0.025 and OR=1.70, p=0.039, respectively). Furthermore, we found that a significant interaction between FH-HD or FH-P-HD and high levels ofhs-CRP (>3 mg/L) increased the risk for elevated hs-cTnT (OR=3.07, p=0.036 for FH-HD and OR=3.25, p=0.053 for FH-P-HD). CONCLUSIONS: FH-HD and its interaction with elevated hs-CRP levels were significantly associated with elevated hs-cTnT in apparently healthy individuals suggesting that an inflammatory process may be involved in this association.

NLRP3 inflammasome activity is upregulated in an in-vitro model of COPD exacerbation.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is an inflammatory disease characterized by a progressive and irreversible deterioration of lung function. Exacerbations of COPD have prolonged negative effects on pulmonary function and a major impact on health status and outcomes. NLRP3 inflammasome is a cardinal component of the inflammatory response, with marked evidence in stable and exacerbations of COPD. The aim of our study was to evaluate the NLRP3 inflammasome activity during COPD exacerbation by using an in vitro model. METHODS: A549 cells were stimulated with different concentrations (10%, 4%, 2%) of cigarette smoke extract (CSE) with or without LPS (0.1µg/ml) for 24 hours. Cell viability was assessed by using XTT test. Levels of inflammatory cytokines (IL-8, MCP-1, and IL-1ß) were measured by ELISA and the activity level of NLRP-3 was evaluated by flow cytometry. RESULTS: Cells exposed to CSE present an increase in inflammatory cytokines (IL-8 and MCP-1) production in a dose-dependent manner. Incubation with LPS to these cells results in higher levels of IL-8 and MCP-1 compared to stimulation of CSE alone. NLRP3 inflammasome activity and IL-1ß levels were significantly increased in cells exposed to both CSE and LPS compared to CSE alone. CONCLUSIONS: NLRP3 inflammasome is upregulated in an in-vitro model of COPD and COPD exacerbation. Our findings provide novel biomarkers for COPD exacerbation and may present new targets for future research.