Purpose The main objective of this study was to develop two-dimensional (2D) phase contrast (PC) methods to quantify the helicity and vorticity of blood flow in the aortic root.Methods This proof... Show morePurpose The main objective of this study was to develop two-dimensional (2D) phase contrast (PC) methods to quantify the helicity and vorticity of blood flow in the aortic root.Methods This proof-of-concept study used four-dimensional (4D) flow cardiovascular MR (4D flow CMR) data of five healthy controls, five patients with heart failure with preserved ejection fraction and five patients with aortic stenosis (AS). A PC through-plane generated by 4D flow data was treated as a 2D PC plane and compared with the original 4D flow. Visual assessment of flow vectors was used to assess helicity and vorticity. We quantified flow displacement (FD), systolic flow reversal ratio (sFRR) and rotational angle (RA) using 2D PC.Results For visual vortex flow presence near the inner curvature of the ascending aortic root on 4D flow CMR, sFRR demonstrated an area under the curve (AUC) of 0.955, p<0.001. A threshold of >8% for sFRR had a sensitivity of 82% and specificity of 100% for visual vortex presence. In addition, the average late systolic FD, a marker of flow eccentricity, also demonstrated an AUC of 0.909, p<0.001 for visual vortex flow. Manual systolic rotational flow angle change (ΔsRA) demonstrated excellent association with semiautomated ΔsRA (r=0.99, 95% CI 0.9907 to 0.999, p<0.001). In reproducibility testing, average systolic FD (FDsavg) showed a minimal bias at 1.28% with a high intraclass correlation coefficient (ICC=0.92). Similarly, sFRR had a minimal bias of 1.14% with an ICC of 0.96. ΔsRA demonstrated an acceptable bias of 5.72°—and an ICC of 0.99.Conclusion 2D PC flow imaging can possibly quantify blood flow helicity (ΔRA) and vorticity (FRR). These imaging biomarkers of flow helicity and vorticity demonstrate high reproducibility for clinical adoption. Show less
Micro- and nano-plastics (MNPs) pollution has become a pressing global environmental issue, with growing concerns regarding its impact on human health. However, evidence on the effects of MNPs on... Show moreMicro- and nano-plastics (MNPs) pollution has become a pressing global environmental issue, with growing concerns regarding its impact on human health. However, evidence on the effects of MNPs on human health remains limited. This paper reviews the three routes of human exposure to MNPs, which include ingestion, inhalation, and dermal contact. It further discusses the potential routes of translocation of MNPs in human lungs, intestines, and skin, analyses the potential impact of MNPs on the homeostasis of human organ systems, and provides an outlook on future research priorities for MNPs in human health. There is growing evidence that MNPs are present in human tissues or fluids. Lab studies, including in vivo animal models and in vitro human-derived cell cultures, revealed that MNPs exposure could negatively affect human health. MNPs exposure could cause oxidative stress, cytotoxicity, disruption of internal barriers like the intestinal, the air–blood and the placental barrier, tissue damage, as well as immune homeostasis imbalance, endocrine disruption, and reproductive and developmental toxicity. Limitedly available epidemiological studies suggest that disorders like lung nodules, asthma, and blood thrombus might be caused or exacerbated by MNPs exposure. However, direct evidence for the effects of MNPs on human health is still scarce, and future research in this area is needed to provide quantitative support for assessing the risk of MNPs to human health. Show less
BackgroundMeasurement of peak velocities is important in the evaluation of heart failure. This study compared the performance of automated 4D flow cardiac MRI (CMR) with traditional transthoracic... Show moreBackgroundMeasurement of peak velocities is important in the evaluation of heart failure. This study compared the performance of automated 4D flow cardiac MRI (CMR) with traditional transthoracic Doppler echocardiography (TTE) for the measurement of mitral inflow peak diastolic velocities.MethodsPatients with Doppler echocardiography and 4D flow cardiac magnetic resonance data were included retrospectively. An established automated technique was used to segment the left ventricular transvalvular flow using short-axis cine stack of images. Peak mitral E-wave and peak mitral A-wave velocities were automatically derived using in-plane velocity maps of transvalvular flow. Additionally, we checked the agreement between peak mitral E-wave velocity derived by 4D flow CMR and Doppler echocardiography in patients with sinus rhythm and atrial fibrillation (AF) separately.ResultsForty-eight patients were included (median age 69 years, IQR 63 to 76; 46% female). Data were split into three groups according to heart rhythm. The median peak E-wave mitral inflow velocity by automated 4D flow CMR was comparable with Doppler echocardiography in all patients (0.90 +/- 0.43 m/s vs 0.94 +/- 0.48 m/s, P = 0.132), sinus rhythm-only group (0.88 +/- 0.35 m/s vs 0.86 +/- 0.38 m/s, P = 0.54) and in AF-only group (1.33 +/- 0.56 m/s vs 1.18 +/- 0.47 m/s, P = 0.06). Peak A-wave mitral inflow velocity results had no significant difference between Doppler TTE and automated 4D flow CMR (0.81 +/- 0.44 m/s vs 0.81 +/- 0.53 m/s, P = 0.09) in all patients and sinus rhythm-only groups. Automated 4D flow CMR showed a significant correlation with TTE for measurement of peak E-wave in all patients group (r = 0.73, P < 0.001) and peak A-wave velocities (r = 0.88, P < 0.001). Moreover, there was a significant correlation between automated 4D flow CMR and TTE for peak-E wave velocity in sinus rhythm-only patients (r = 0.68, P < 0.001) and AF-only patients (r = 0.81, P = 0.014). Excellent intra-and inter-observer variability was demonstrated for both parameters.ConclusionAutomated dynamic peak mitral inflow diastolic velocity tracing using 4D flow CMR is comparable to Doppler echocardiography and has excellent repeatability for clinical use. However, 4D flow CMR can potentially underestimate peak velocity in patients with AF. Show less
Assadi, H.; Alabed, S.; Maiter, A.; Salehi, M.; Li, R.; Ripley, D.P.; ... ; Garg, P. 2022
Background and Objectives: Interest in artificial intelligence (AI) for outcome prediction has grown substantially in recent years. However, the prognostic role of AI using advanced cardiac... Show moreBackground and Objectives: Interest in artificial intelligence (AI) for outcome prediction has grown substantially in recent years. However, the prognostic role of AI using advanced cardiac magnetic resonance imaging (CMR) remains unclear. This systematic review assesses the existing literature on AI in CMR to predict outcomes in patients with cardiovascular disease. Materials and Methods: Medline and Embase were searched for studies published up to November 2021. Any study assessing outcome prediction using AI in CMR in patients with cardiovascular disease was eligible for inclusion. All studies were assessed for compliance with the Checklist for Artificial Intelligence in Medical Imaging (CLAIM). Results: A total of 5 studies were included, with a total of 3679 patients, with 225 deaths and 265 major adverse cardiovascular events. Three methods demonstrated high prognostic accuracy: (1) three-dimensional motion assessment model in pulmonary hypertension (hazard ratio (HR) 2.74, 95%CI 1.73-4.34, p < 0.001), (2) automated perfusion quantification in patients with coronary artery disease (HR 2.14, 95%CI 1.58-2.90, p < 0.001), and (3) automated volumetric, functional, and area assessment in patients with myocardial infarction (HR 0.94, 95%CI 0.92-0.96, p < 0.001). Conclusion: There is emerging evidence of the prognostic role of AI in predicting outcomes for three-dimensional motion assessment in pulmonary hypertension, ischaemia assessment by automated perfusion quantification, and automated functional assessment in myocardial infarction. Show less
Xie, F.; Zhou, X.X.; Li, H.Y.; Su, P.; Liu, S.J.; Li, R.; ... ; Zhang, L. 2022
TGF-beta signaling is a key player in tumor progression and immune evasion, and is associated with poor response to cancer immunotherapies. Here, we identified ubiquitin-specific peptidase 8 (USP8)... Show moreTGF-beta signaling is a key player in tumor progression and immune evasion, and is associated with poor response to cancer immunotherapies. Here, we identified ubiquitin-specific peptidase 8 (USP8) as a metastasis enhancer and a highly active deubiquitinase in aggressive breast tumors. USP8 acts both as a cancer stemness-promoting factor and an activator of the TGF-beta/SMAD signaling pathway. USP8 directly deubiquitinates and stabilizes the type II TGF-beta receptor T beta RII, leading to its increased expression in the plasma membrane and in tumor-derived extracellular vesicles (TEVs). Increased USP8 activity was observed in patients resistant to neoadjuvant chemotherapies. USP8 promotes TGF-beta/SMAD-induced epithelial-mesenchymal transition (EMT), invasion, and metastasis in tumor cells. USP8 expression also enables T beta RII+ circulating extracellular vesicles (crEVs) to induce T cell exhaustion and chemoimmunotherapy resistance. Pharmacological inhibition of USP8 antagonizes TGF-beta/SMAD signaling, and reduces T beta RII stability and the number of T beta RII+ crEVs to prevent CD8+ T cell exhaustion and to reactivate anti-tumor immunity. Our findings not only reveal a novel mechanism whereby USP8 regulates the cancer microenvironment but also demonstrate the therapeutic advantages of engineering USP8 inhibitors to simultaneously suppress metastasis and improve the efficacy of cancer immunotherapy. Show less
Popular culture often portrays adolescence as a period of peak risk-taking, but that developmental trend is not consistently found across laboratory studies. Instead, meta-analytic evidence shows... Show morePopular culture often portrays adolescence as a period of peak risk-taking, but that developmental trend is not consistently found across laboratory studies. Instead, meta-analytic evidence shows that while adolescents take more risks compared to adults, children and adolescents actually take similar levels of risk. Furthermore, developmental trajectories vary across different measures of laboratory decision making and everyday risky behavior. Indeed, the psychological concept of "risk" is multifactorial, such that its different factors exhibit different developmental trajectories. Here, we examine how economic risk preference, or the propensity to gamble on uncertain outcomes with known probabilities, is distinct from economic ambiguity preference, or the propensity to gamble on uncertain outcomes with unknown probabilities - and how economic risk and ambiguity may differentially influence adolescent decision making. Economic ambiguity engages distinct neural mechanisms from economic risk - both in adults and adolescents - and differentially relates to everyday risk-taking. However, to date, it remains elusive how economic ambiguity aversion develops across adolescence, as the relative paucity of such work limits the conclusions that can be drawn. We propose that developmental research into adolescent decision making should consider economic ambiguity as a distinct component within the multifactorial construct of adolescent risk-taking. This will set the stage for future work on economic ambiguity preferences as an explanatory mechanism for behaviors beyond risk taking, such as learning and prosocial behavior. Show less
IMPORTANCE Juvenile amyotrophic lateral sclerosis (ALS) is a rare form of ALS characterized by age of symptom onset less than 25 years and a variable presentation.OBJECTIVE To identify the genetic... Show moreIMPORTANCE Juvenile amyotrophic lateral sclerosis (ALS) is a rare form of ALS characterized by age of symptom onset less than 25 years and a variable presentation.OBJECTIVE To identify the genetic variants associated with juvenile ALS.DESIGN, SETTING, AND PARTICIPANTS In this multicenter family-based genetic study, trio whole-exome sequencing was performed to identify the disease-associated gene in a case series of unrelated patients diagnosed with juvenile ALS and severe growth retardation. The patients and their family members were enrolled at academic hospitals and a government research facility between March 1, 2016, and March 13, 2020, and were observed until October 1, 2020. Whole-exome sequencing was also performed in a series of patients with juvenile ALS. A total of 66 patients with juvenile ALS and 6258 adult patients with ALS participated in the study. Patients were selected for the study based on their diagnosis, and all eligible participants were enrolled in the study. None of the participants had a family history of neurological disorders, suggesting de novo variants as the underlying genetic mechanism.MAIN OUTCOMES AND MEASURES De novo variants present only in the index case and not in unaffected family members.RESULTS Trio whole-exome sequencing was performed in 3 patients diagnosed with juvenile ALS and their parents. An additional 63 patients with juvenile ALS and 6258 adult patients with ALS were subsequently screened for variants in the SPTLC1 gene. De novo variants in SPTLC1 (p. Ala20Ser in 2 patients and p.Ser331Tyr in 1 patient) were identified in 3 unrelated patients diagnosed with juvenile ALS and failure to thrive. A fourth variant (p.Leu39del) was identified in a patient with juvenile ALS where parental DNA was unavailable. Variants in this gene have been previously shown to be associated with autosomal-dominant hereditary sensory autonomic neuropathy, type 1A, by disrupting an essential enzyme complex in the sphingolipid synthesis pathway.CONCLUSIONS AND RELEVANCE These data broaden the phenotype associated with SPTLC1 and suggest that patients presenting with juvenile ALS should be screened for variants in this gene. Show less
Ghatan, S.; Costantini, A.; Li, R.; Bruin, C. de; Appelman-Dijkstra, N.M.; Winter, E.M.; ... ; Medina-Gomez, C. 2021
Purpose of Review Fractures are frequently encountered in paediatric practice. Although recurrent fractures in children usually unveil a monogenic syndrome, paediatric fracture risk could be shaped... Show morePurpose of Review Fractures are frequently encountered in paediatric practice. Although recurrent fractures in children usually unveil a monogenic syndrome, paediatric fracture risk could be shaped by the individual genetic background influencing the acquisition of bone mineral density, and therefore, the skeletal fragility as shown in adults. Here, we examine paediatric fractures from the perspective of monogenic and complex trait genetics.Recent Findings Large-scale genome-wide studies in children have identified similar to 44 genetic loci associated with fracture or bone traits whereas similar to 35 monogenic diseases characterized by paediatric fractures have been described.Genetic variation can predispose to paediatric fractures through monogenic risk variants with a large effect and polygenic risk involving many variants of small effects. Studying genetic factors influencing peak bone attainment might help in identifying individuals at higher risk of developing early-onset osteoporosis and discovering drug targets to be used as bone restorative pharmacotherapies to prevent, or even reverse, bone loss later in life. Show less
Li, R.; Boer, C.G.; Oei, L.; Medina-Gomez, C. 2021
Purpose of the review The human gut harbors a complex community of microbes that influence many processes regulating musculoskeletal development and homeostasis. This review gives an update on the... Show morePurpose of the review The human gut harbors a complex community of microbes that influence many processes regulating musculoskeletal development and homeostasis. This review gives an update on the current knowledge surrounding the impact of the gut microbiota on musculoskeletal health, with an emphasis on research conducted over the last three years. Recent findings The gut microbiota and their metabolites are associated with sarcopenia, osteoporosis, osteoarthritis, and rheumatoid arthritis. The field is moving fast from describing simple correlations to pursue establishing causation through clinical trials. The gut microbiota and their microbial-synthesized metabolites hold promise for offering new potential alternatives for the prevention and treatment of musculoskeletal diseases given its malleability and response to environmental stimuli. Show less
The term “cardiometabolic disease” describes a cluster of sub-clinical disorders that are shared by cardiovascular diseases and type 2 diabetes, including dyslipidaemia, and glucose intolerance. In... Show moreThe term “cardiometabolic disease” describes a cluster of sub-clinical disorders that are shared by cardiovascular diseases and type 2 diabetes, including dyslipidaemia, and glucose intolerance. In clinical settings, fasting measurement is still the gold standard for the diagnosis of hyperglycemia and dyslipidaemia. However, due to irregular meal intake, we spend the majority of our waking hours in a non-fasting state. The non-fasting state is a dynamic condition that is affected by many factors, including diet, lifestyle, physiological factors, pathological conditions, and genetics. Thus far, the genes and genetic loci that affect postprandial glucose and lipid metabolism have not been fully understood. By using the data from the Netherlands Epidemiology of Obesity study, we found 1) postprandial measures after a liquid mixed meal were as robust as fasting measures by repeated measures; 2) to stratify pre-diabetic individuals into high- and low-risk of developing to type 2 diabetes, the model performance by using postprandial metabolites was similar to the model performance using fasting metabolites; 3) the genetics of fasting and postprandial metabolite levels are highly overlapped. All the findings suggest that postprandial measures after a liquid meal are as reliable and clinically relevant as fasting measures for cardiometabolic disease research and diagnosis. Show less
Microplastics (MPs, plastics 100 nm–5 mm in diameter) are estimated to accumulate in agricultural soils in quantities that exceed the total MP burden in ocean waters. Despite a wealth of... Show moreMicroplastics (MPs, plastics 100 nm–5 mm in diameter) are estimated to accumulate in agricultural soils in quantities that exceed the total MP burden in ocean waters. Despite a wealth of information relating to the accumulation of MPs in aquatic species, there is little information on the uptake of MPs by terrestrial plants. Information about location of MPs in plant tissues is critical to understand the modes of their interaction with plants. Polystyrene (PS) is one of the most commonly used plastic polymers worldwide and it is often found in MPs sampled in the environment. The performance of traditional detection methods (i.e., transmission electron microscopy, TEM and scanning electron microscopy, SEM) for nanoparticles is limited due to the extensive sample preparation and the limited field of view. Here we report an approach for the imaging of different sizes of PS plastic beads (ranging from submicrometer to micrometer-sized) within plant tissues by using confocal laser scanning microscope (CLSM). Fluorescent dye Nile blue or 4-chloro-7-nitro-1,2,3-benzoxadiazole were encapsulated into the PS microbeads through swelling method and they were used to detect the localization of PS beads in the root and the green tissue respectively.• This is a simple andrapid approach for imaging of MPs in plant.• The fluorescent dyes can produce bright and stable emission signals that are distinguishable from the autofluorescence background of plant tissues.• The dyes leakage in the aqueous phase can be assumed to be negligible. Show less
