Citations

Abstract Deletion of the melanocortin-4-receptor (Mc4r) gene in mice causes hyperphagia, followed by hyperinsulinemia, obesity and progressive infertility. Evidence shows that the number of developed corpora lutea is reduced in obese MC4R-knockout (MC4R KO) female mice, but the mechanism is unclear. The effect of hyperphagia and obesity by MC4R KO on pulsatile luteinizing hormone (LH) secretion and ovulation remains unknown. In MC4R KO mice and wild-type littermates (WT LM) during the diestrus period throughout different ages, we examined and monitored their metabolic status, pulsatile LH profiles, follicular morphology and the number of corpora lutea. MC4R KO mice were hyperphagic, obese, hyperglycemic, hyperinsulinemic and demonstrated insulin resistance and hepatic steatosis. Irregular estrous cycles and significant changes in the LH secretion profiles were observed in sexually matured 16- to 28-week MC4R KO mice, without any difference in testosterone levels. In addition, MC4R KO mice at 16 weeks of age had significantly fewer corpora lutea than same age WT LM mice. The ovary examinations of MC4R KO mice at 28 weeks of age showed predominantly antral and preovulatory follicles with no corpora lutea. These findings were consistent with the decrease in total, pulsatile, mass and basal LH releases in MC4R KO mice. The characteristics of hormone profiles in obese MC4R KO mice indicate that MC4R plays an important role in regulating LH release, ovulation and reproductive ability probably via hyperphagia-induced obesity. Further study of correlation between metabolic and reproductive regulatory hormones is warranted to dissect the pathological mechanism underlying obesity-induced infertility. Free Chinese abstract: A Chinese translation of this abstract is freely available at http://www.reproduction-online.org/content/153/3/267/suppl/DC1.

BackgroundThe concordance of haemovigilance criteria developed for surveillance of transfusion‐associated circulatory overload (TACO) with its clinical diagnosis has not been assessed. In a pilot study to evaluate an electronic screening algorithm, we sought to examine TACO incidence and application of haemovigilance criteria in patients with post‐transfusion pulmonary oedema.Study Design and MethodsFrom June to September 2014, all transfused adult inpatients at four academic hospitals were screened with an algorithm identifying chest radiographs ordered within 12 h of blood component release. Patients with post‐transfusion pulmonary oedema underwent case adjudication by an expert panel. TACO incidence was calculated, and clinical characteristics were compared with other causes of post‐transfusion pulmonary oedema.ResultsAmong 4932 transfused patients, there were 3412 algorithm alerts, 50 cases of TACO and 47 other causes of pulmonary oedema. TACO incidence was 1 case per 100 patients transfused. TACO classification based on two sets of haemovigilance criteria (National Healthcare Safety Network and proposed revised International Society for Blood Transfusion) was concordant with expert panel diagnosis in 57% and 54% of reviewed cases, respectively. Although the majority of clinical parameters did not differentiate expert panel adjudicated TACO from other cases, improved oxygenation within 24 h of transfusion did (P = 0·01).ConclusionsThe incidence of TACO was similar to that observed in prior studies utilizing active surveillance. Case classification by haemovigilance criteria was frequently discordant with clinical diagnoses of TACO in patients with post‐transfusion pulmonary oedema. Improvements in oxygenation within 24 h of transfusion merit further evaluation in the diagnosis of TACO.

Summary Background: Pulmonary artery sarcoma (PAS) is a rare malignant neoplasm with an aggressive behavior and often difficult to distinguish from pulmonary thromboembolic disease. Aim: To assess the demographic, clinical, and radiological characteristics of PAS and clinical course. Design and Methods: We retrospectively identified and analyzed all patients with PAS seen at Mayo Clinic in Rochester, Minnesota, between January 1, 1996 and July 31, 2015. Results: Of nine patients (5 women and 4 men; median age 55 years [range, 24–74 years]), eight were diagnosed while alive with surgical (n = 6) or catheter-based endovascular biopsy (n = 2); the remaining patient was diagnosed at postmortem examination. All tumors manifested on CT as filling defect in the main, right or left pulmonary artery and were not associated with peripheral filling defects in seven patients. Seven patients were initially treated with anticoagulant therapy for presumed PE; two patients were suspected to have tumor based on constrictive or expanding effect seen on CT. Five patients died after a mean duration of 2.1 years (10 months–4.25 years) after diagnosis. Two patients are alive with recurrence and metastases of the disease 23 and 27 months after diagnosis, respectively; one remaining patient is alive and disease-free 116 months after diagnosis. Conclusions: Although PAS is associated with a poor prognosis, long-term survival is possible and can be improved by early diagnosis and prompt surgical resection. Atypical appearance on CT including central mass-like lesion without peripheral emboli and constrictive or expanding effect should raise suspicion of PAS.

Abstract Kelvin–Voigt fractional derivative (KVFD) model parameters have been used to describe viscoelastic properties of soft tissues. However, translating model parameters into a concise set of intrinsic mechanical properties related to tissue composition and structure remains challenging. This paper begins by exploring these relationships using a biphasic emulsion materials with known composition. Mechanical properties are measured by analyzing data from two indentation techniques—ramp-stress relaxation and load-unload hysteresis tests. Material composition is predictably correlated with viscoelastic model parameters. Model parameters estimated from the tests reveal that elastic modulus E 0 closely approximates the shear modulus for pure gelatin. Fractional-order parameter α and time constant τ vary monotonically with the volume fraction of the material’s fluid component. α characterizes medium fluidity and the rate of energy dissipation, and τ is a viscous time constant. Numerical simulations suggest that the viscous coefficient η is proportional to the energy lost during quasi-static force-displacement cycles, E A . The slope of E A versus η is determined by α and the applied indentation ramp time T r . Experimental measurements from phantom and ex vivo liver data show close agreement with theoretical predictions of the η − E A relation. The relative error is less than 20% for emulsions 22% for liver. We find that KVFD model parameters form a concise features space for biphasic medium characterization that described time-varying mechanical properties.

BACKGROUND: This study sought to determine whether preoperatively measured high-sensitivity cardiac troponin T (hs-cTnT) and N -terminal pro-brain natriuretic peptide (NT-proBNP) improve cardiac risk prediction in patients undergoing major noncardiac surgery compared with the standard risk indices. METHODS: In this ancillary study to the Vitamins in Nitrous Oxide trial, patients were included who had preoperative hs-cTnT and NT-proBNP measured (n = 572). Study outcome was the incidence of postoperative myocardial infarction (MI) within the first 3 postoperative days. hs-cTnT was considered elevated if >14 ng/L and NT-proBNP if >300 ng/L. Additional cutoff values were investigated on the basis of receiver operating characteristic statistics. Biomarker risk prediction was compared with Lee’s Revised Cardiac Risk Index (RCRI) with the use of standard methods and net reclassification index. RESULTS: The addition of hs-cTnT (>14 ng/L) and NT-proBNP (>300 ng/L) to RCRI significantly improved the prediction of postoperative MI (event rate 30/572 [5.2%], Area under the receiver operating characteristic curve increased from 0.590 to 0.716 with a 0.66 net reclassification index [95% confidence interval 0.32–0.99], P < .001). The use of 108 ng/L as a cutoff for NT-proBNP improved sensitivity compared with 300 ng/L (0.87 vs 0.53). Sensitivity, specificity, positive, and negative predictive value for hs-cTnT were 0.70, 0.60, 0.09, and 0.97 and for NT-proBNP were 0.53, 0.68, 0.08, and 0.96. CONCLUSIONS: The addition of cardiac biomarkers hs-cTnT and NT-proBNP to RCRI improves the prediction of adverse cardiac events in the immediate postoperative period after major noncardiac surgery. The high negative predictive value of preoperative hs-cTnT and NT-proBNP suggest usefulness as a “rule-out” test to confirm low risk of postoperative MI.

Cholestatic liver diseases are conditions with impaired bile formation and/or flow due to genetic, immunologic, environmental, or other causes. Unless successfully treated, this can lead to chronic liver injury and end‐stage liver disease. Primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC) embody the most prominent adult cholestatic liver diseases with regard to incidence, morbidity, and mortality. A considerable proportion of patients with PBC and PSC experience progressive liver disease and ultimately liver‐related death due to a paucity of effective pharmacotherapy; however, novel pharmacologic developments offer substantial promise in this regard. Here, we provide a brief review and update on current and emerging pharmacotherapies for PBC and PSC. (Hepatology Communications 2017;1:7–17)

AbstractIn the past decades, a few synergistic feature selection algorithms have been published, which includes Cooperative Index (CI) and K‐Top Scoring Pair (k‐TSP). These algorithms consider the synergistic behavior of features when they are included in a feature panel. Although promising results have been shown for these algorithms, there is lack of a comprehensive and fair comparison with other feature selection algorithms across a large number of microarray datasets in terms of classification accuracy and computational complexity. There is a need in evaluating their performance and reducing the complexity of such algorithms. We compared the performance of synergistic feature selection algorithms with 11 other commonly used algorithms based on 22 microarray gene expression binary class datasets. The evaluation confirms that synergistic algorithms such as CI and k‐TSP will gradually increase the classification performance as more features are used in the classifiers. Also, in order to cut down computational cost, we proposed a new feature selection ranking score called Positive Synergy Index (PSI). Testing results show that features selected using PSI as well as synergistic feature selection algorithms provide better performance compared to with all other methods, while PSI has a computational complexity significantly lower than that of other synergistic algorithms.