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Running cadence is crucial in running biomechanics and physiology, impacting performance and injury risk. The relationship between running cadence, height, weight, and gender is explored using data from 29 participants (14 males, 15 females) with varying attributes. Taller individuals tend to have a lower cadence due to longer stride length, while fewer steps are required by heavier individuals at the same pace. A higher cadence is observed in males, possibly due to differences in leg length and muscle fiber composition, although considerable variability exists among individuals of both genders. Linear regression analysis revealed robust models for both genders, with negative correlations between cadence and height, indicating that increased cadence correlates with decreased height for males and females. Females typically have higher BMI than males, with BMI variability in the population. Weight influences running cadence by affecting ground force. Heavier individuals may take fewer steps, but risk increased strain on joints and muscles, raising injury risk. Furthermore, the connection between running cadence and injury risk is investigated. It is found that adjusting cadence significantly reduces stress on weight-bearing joints and prevents common overuse running injuries. It is demonstrated by several reputable studies in the field that even minor cadence increases greatly reduce stress on knee and hip joints during running, making it a commendable method for injury prevention. In conclusion, while height and weight impact running cadence, each person's cadence is unique and influenced by various factors beyond gender alone. Understanding the relationship between running cadence and its impact on injury prevention is crucial for runners seeking to improve performance and avoid injuries.

JAK2V617F mutation is associated with an increased risk for athero-thrombotic cardiovascular disease, but its role in aortic disease development remains unknown. Here, the authors show that JAK2V617F mutation drives vascular resident macrophages toward a pathogenic phenotype and promotes dissecting aortic aneurysm.

Mice are the most commonly used model animals for itch research and for development of anti-itch drugs. Most laboratories manually quantify mouse scratching behavior to assess itch intensity. This process is labor-intensive and limits large-scale genetic or drug screenings. In this study, we developed a new system, Scratch-AID (Automatic Itch Detection), which could automatically identify and quantify mouse scratching behavior with high accuracy. Our system included a custom-designed videotaping box to ensure high-quality and replicable mouse behavior recording and a convolutional recurrent neural network trained with frame-labeled mouse scratching behavior videos, induced by nape injection of chloroquine. The best trained network achieved 97.6% recall and 96.9% precision on previously unseen test videos. Remarkably, Scratch-AID could reliably identify scratching behavior in other major mouse itch models, including the acute cheek model, the histaminergic model, and a chronic itch model. Moreover, our system detected significant differences in scratching behavior between control and mice treated with an anti-itch drug. Taken together, we have established a novel deep learning-based system that could replace manual quantification for mouse scratching behavior in different itch models and for drug screening.

Abstract BRCA1 and BRCA2 mutations are not uncommon in breast cancer patients. Western studies show that such mutations are more prevalent among younger patients. This study evaluates the prevalence of germline mutations in BRCA1 and BRCA2 among breast cancer patients diagnosed at age 40 or younger in Jordan. Blood samples of patients with breast cancer diagnosed at age 40 years or younger were obtained for DNA extraction and BRCA sequencing. Mutations were classified as benign/likely benign (non-carrier), pathogenic/likely pathogenic variant (carrier) and variant of uncertain significance (VUS). Genetic testing and counseling were completed on 616 eligible patients. Among the whole group, 75 (12.2%) had pathogenic or likely pathogenic variants; two of the BRCA2 mutations were novel. In multivariate analysis, triple-negative disease (Odd Ratio [OR]: 5.37; 95% CI 2.88–10.02, P

Abstract In developing countries, breast cancer is diagnosed at a much younger age. In this study we investigate the dichotomies between older and young breast cancer patients in our region. The study involved two cohorts; older patients (≥ 65 years, n = 553) and younger ones (≤ 40 years, n = 417). Statistical models were used to investigate the associations between age groups, clinical characteristics and treatment outcomes. Compared to younger patients, older patients were more likely to present with advanced-stage disease (20.6% vs. 15.1%, p = .028). However, among those with non-metastatic disease, younger patients tended to have more aggressive pathological features, including positive axillary lymph nodes (73.2% vs. 55.6%, p

BACKGROUND:The aim of the present study was to evaluate the ability of the ratios of central venous to arterial carbon dioxide content and tension to arteriovenous oxygen content to predict an increase in oxygen consumption (VO2) upon fluid challenge (FC). METHODS AND RESULTS:110 patients admitted to cardiothoracic ICU and in whom the physician had decided to perform an FC (with 500 ml of Ringer's lactate solution) were included. The arterial pressure, cardiac index (Ci), and arterial and venous blood gas levels were measured before and after FC. VO2 and CO2-O2 derived variables were calculated. VO2 responders were defined as patients showing more than a 15% increase in VO2. Of the 92 FC responders, 43 (46%) were VO2 responders. At baseline, pCO2 gap, C(a-v)O2 were lower in VO2 responders than in VO2 non-responders, and central venous oxygen saturation (ScvO2) was higher in VO2 responders. FC was associated with an increase in MAP, SV, and CI in both groups. With regard to ScvO2, FC was associated with an increase in VO2 non-responders and a decrease in VO2 responders. FC was associated with a decrease in pvCO2 and pCO2 gap in VO2 non-responders only. The pCO2 gap/C(a-v)O2 ratio and C(a-v)CO2 content /C(a-v)O2 content ratio did not change with FC. The CO2 gap content/C(a-v)O2 content ratio and the C(a-v)CO2 content /C(a-v)O2 content ratio did not predict fluid-induced VO2 changes (area under the curve (AUC) [95% confidence interval (CI)] = 0.52 [0.39‒0.64] and 0.53 [0.4-0.65], respectively; p = 0.757 and 0.71, respectively). ScvO2 predicted an increase of more than 15% in the VO2 (AUC [95%CI] = 0.67 [0.55‒0.78]; p