Citations

Abstract Aims/Hypothesis: We sought to establish whether the increased incidence of diabetes associated with Down syndrome was due to a congenital deficit in β cells. Methods: The pancreas was obtained at autopsy from nondiabetic subjects with Down syndrome (n = 29) and age-matched nondiabetic control subjects without Down syndrome (n = 28). The pancreas sections were evaluated for the fractional β-cell area. Results: No difference was found in the fractional β-cell area between the subjects with Down syndrome and the control subjects. Conclusions/Interpretations: The increased incidence and prevalence of diabetes in individuals with Down syndrome is not due to an underlying congenital deficiency of β cells.

AbstractBackgroundThe acquisition of intravenous (IV) access in the actively convulsing patient is difficult. This often delays the administration of the IV benzodiazepine (BDZ) necessary for seizure cessation. Delays in seizure cessation are associated with increased pharmacoresistance, increased risk of neuronal injury, worse patient outcomes, and increased morbidity.ObjectiveThe objective was to assess whether the delay imposed by IV access acquisition is justified by improved outcomes. We compared IV versus non‐IV BDZ efficacy in the real world with regard to failure rates (primary outcome), interval to seizure control, and observed complications (secondary outcomes).MethodsA systematic review was performed using Medline, Embase, and the Cochrane Library. All studies published or in press from the inception of the respective database to July 2016 were included. Only randomized and quasi‐randomized controlled trials directly comparing IV to non‐IV (buccal, rectal, intranasal, or intramuscular) BDZ were included.ResultsOur search strategy retrieved 2,604 citations for review. A total of 11 studies were finally included in qualitative synthesis and 10 in quantitative analysis. Only one was of high quality. For treatment failure, non‐IV BDZ was superior to IV BDZ (odd ratio [OR] = 0.72; 95% confidence interval [CI] = 0.56–0.92). However, no significant difference was found between the two treatments in the pediatric subgroup (OR = 1.16; 95% CI = 0.74–1.81). Non‐IV BDZ was administered faster than IV BDZ and therefore controlled seizures faster (mean difference = 3.41 minutes; 95% CI = 1.69–5.13 minutes) despite a longer interval between drug administration and seizure cessation (mean difference = 0.74 minutes; 95% CI = 0.52–0.95 minutes). Respiratory complications requiring intervention were similar between non‐IV BDZ and IV BDZ, regardless of administration route (risk difference = 0.00; 95% CI = –0.02 to 0.01).ConclusionNon‐IV BDZ, compared to IV BDZ, terminate seizures faster and have a superior efficacy and side effect profile. Higher‐quality studies and further evaluation in different age groups are warranted.

Objectives Congenital absence of the pericardium (CAP) is often confused with other conditions presenting with right ventricular dilatation and usually warrants CT or cardiac MR (CMR) to confirm. It would be desirable to have more specific echocardiographic criteria to provide a conclusive diagnosis. Methods 11 patients who were diagnosed with CAP (four patients with total CAP) based on CT/CMR were consecutively enrolled. Thirteen patients with atrial septal defect (ASD) and 16 normal subjects served as controls. To investigate spatial changes of heart in the thoracic cavity in CAP, following echocardiographic measurements were made in the left and right decubitus positions: the angle between the ultrasound beam and the left ventricular posterior wall (Angle-PW) in end-diastole at the parasternal long axis, and the distance between the chest wall and the most distal part of the left ventricular posterior wall (Distance-PW) at the parasternal mid-ventricular short axis. Results Angle-PW in patients with CAP were significantly greater than in those with ASD (100.1±12.5° vs 74.5±8.6°, p<0.017) or in normal subjects (100.1±12.5° vs 69.9±7.6°, p<0.017) at the left decubitus, and the difference in Angle-PW according to posture (left vs right) was significantly greater in CAP compared with the other groups (CAP 20.7±12.7°, ASD 0.31±1.80°, normal 0.31±1.40°, all p<0.017). The differences in Distance-PW according to patient position (CAP 2.43±0.77°, ASD 0.42±0.45°, normal 0.26±0.55°) or cardiac cycle in each position (left: CAP 1.60±0.76°, ASD 0.41±0.27°, normal 0.17±0.12°; right: CAP 0.70±0.32°, ASD 0.22±0.19°, normal 0.22±0.13°) were significantly higher in the CAP group than in the other groups (all p<0.017). Conclusions Patients with CAP have dynamic alteration in cardiac position depending on posture, which is not observed in ASD or in normal controls. Hence, total or left-sided CAP can be reliably diagnosed with positional changes during routine echocardiography.

BACKGROUND. No laboratory test can predict the risk of nonrelapse mortality (NRM) or severe graft-versus-host disease (GVHD) after hematopoietic cellular transplantation (HCT) prior to the onset of GVHD symptoms. METHODS. Patient blood samples on day 7 after HCT were obtained from a multicenter set of 1,287 patients, and 620 samples were assigned to a training set. We measured the concentrations of 4 GVHD biomarkers (ST2, REG3α, TNFR1, and IL-2Rα) and used them to model 6-month NRM using rigorous cross-validation strategies to identify the best algorithm that defined 2 distinct risk groups. We then applied the final algorithm in an independent test set ( n = 309) and validation set ( n = 358). RESULTS. A 2-biomarker model using ST2 and REG3α concentrations identified patients with a cumulative incidence of 6-month NRM of 28% in the high-risk group and 7% in the low-risk group ( P < 0.001). The algorithm performed equally well in the test set (33% vs. 7%, P < 0.001) and the multicenter validation set (26% vs. 10%, P < 0.001). Sixteen percent, 17%, and 20% of patients were at high risk in the training, test, and validation sets, respectively. GVHD-related mortality was greater in high-risk patients (18% vs. 4%, P < 0.001), as was severe gastrointestinal GVHD (17% vs. 8%, P < 0.001). The same algorithm can be successfully adapted to define 3 distinct risk groups at GVHD onset. CONCLUSION. A biomarker algorithm based on a blood sample taken 7 days after HCT can consistently identify a group of patients at high risk for lethal GVHD and NRM. FUNDING. The National Cancer Institute, American Cancer Society, and the Doris Duke Charitable Foundation.

Heart transplantation is a surgical procedure performed on patients with end-stage heart failure or other irreversible heart disease, Heart transplant prolongs the life of severe heart disease patients. Most of the receipts could survive more than 2-3 years, five-year survival rate could reach 70-80% with immunosuppressive therapy, rejection still an important problem after transplantation. Currently, traditional calcineurin inhibitors, antimetabolite agents, and steroids, wildly used after transplantation, the new generation of immunosuppressive medicines have been developed, and cell-based immunotherapy, as mesenchymal stem cell, myeloid-derived suppressor cells, dendritic cells, pluripotent cells and Treg cells are promising to be used in cellular immunotherapy in organ transplantation.

The cardiology diagnostic are the methods of identifying current or past heart conditions, which can advise caregivers on patient diagnosis and provide a proper therapy plan, nowadays couple new diagnostic methods have been developed and some of them like radionuclide myocardial perfusion imaging, coronary computed tomography angiogram, cardiac magnetic resonance imaging, intravascular ultrasonography, optical coherence tomography, intravascular thermography, intravascular elastography, and near-infrared spectroscopy have been approved for clinical use. Not only the advanced technologies, the new biomarkers, and genetic markers may provide new potential targets for the diagnosis, therapy, and prevention of heart diseases.

BACKGROUNDTo evaluate the impact of depression before autologous and allogeneic hematopoietic cell transplantation (HCT) on clinical outcomes post‐transplantation.METHODSWe analyzed data from the Center for International Blood and Marrow Transplant Research to compare outcomes after autologous (n = 3786) or allogeneic (n = 7433) HCT for adult patients with hematologic malignancies with an existing diagnosis of pre‐HCT depression requiring treatment versus those without pre‐HCT depression. Using Cox regression models, we compared overall survival (OS) between patients with or without depression. We compared the number of days alive and out of the hospital in the first 100 days post‐HCT using Poisson models. We also compared the incidence of grade 2‐4 acute and chronic graft‐versus‐host disease (GVHD) in allogeneic HCT.RESULTSThe study included 1116 (15%) patients with pre‐transplant depression and 6317 (85%) without depression who underwent allogeneic HCT between 2008 and 2012. Pre‐transplant depression was associated with lower OS (hazard ratio [HR], 1.13; 95% confidence interval [CI], 1.04‐1.23; P = 0.004) and a higher incidence of grade 2‐4 acute GVHD (HR, 1.25; 95% CI, 1.14‐1.37; P < 0.0001), but similar incidence of chronic GVHD. Pre‐transplant depression was associated with fewer days‐alive‐and‐out‐of‐the hospital (means ratio [MR] = 0.97; 95% CI, 0.95‐0.99; P = 0.004). There were 512 (13.5%) patients with Pre‐transplant depression and 3274 (86.5%) without depression who underwent autologous HCT. Pre‐transplant depression in autologous HCT was not associated with OS (HR, 1.15; 95% CI, 0.98‐1.34; P = 0.096) but was associated with fewer days alive and out of the hospital (MR, 0.98; 95% CI, 0.97‐0.99; P = 0.002).CONCLUSIONPre‐transplant depression was associated with lower OS and higher risk of acute GVHD among allogeneic HCT recipients and fewer days alive and out of the hospital during the first 100 days after autologous and allogeneic HCT. Patients with pre‐transplant depression represent a population that is at risk for post‐transplant complications. Cancer 2017;123:1828–1838. © 2017 American Cancer Society.

BackgroundFunctional genomics employs dozens of OMICs technologies to explore the functions of DNA, RNA and protein regulators in gene regulation processes. Despite each of these technologies being powerful tools on their own, like the parable of blind men and an elephant, any one single technology has a limited ability to depict the complex regulatory system. Integrative OMICS approaches have emerged and become an important area in biology and medicine. It provides a precise and effective way to study gene regulations.ResultsThis article reviews current popular OMICs technologies, OMICs data integration strategies, and bioinformatics tools used for multi‐dimensional data integration. We highlight the advantages of these methods, particularly in elucidating molecular basis of biological regulatory mechanisms.ConclusionsTo better understand the complexity of biological processes, we need powerful bioinformatics tools to integrate these OMICs data. Integrating multi‐dimensional OMICs data will generate novel insights into system‐level gene regulations and serves as a foundation for further hypothesis‐driven research.