28 research outputs found

    Genomic and Genic Deletions of the FOX Gene Cluster on 16q24.1 and Inactivating Mutations of FOXF1 Cause Alveolar Capillary Dysplasia and Other Malformations

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    Alveolar capillary dysplasia with misalignment of pulmonary veins (ACD/MPV) is a rare, neonatally lethal developmental disorder of the lung with defining histologic abnormalities typically associated with multiple congenital anomalies (MCA). Using array CGH analysis, we have identified six overlapping microdeletions encompassing the FOX transcription factor gene cluster in chromosome 16q24.1q24.2 in patients with ACD/MPV and MCA. Subsequently, we have identified four different heterozygous mutations (frameshift, nonsense, and no-stop) in the candidate FOXF1 gene in unrelated patients with sporadic ACD/MPV and MCA. Custom-designed, high-resolution microarray analysis of additional ACD/MPV samples revealed one microdeletion harboring FOXF1 and two distinct microdeletions upstream of FOXF1, implicating a position effect. DNA sequence analysis revealed that in six of nine deletions, both breakpoints occurred in the portions of Alu elements showing eight to 43 base pairs of perfect microhomology, suggesting replication error Microhomology-Mediated Break-Induced Replication (MMBIR)/Fork Stalling and Template Switching (FoSTeS) as a mechanism of their formation. In contrast to the association of point mutations in FOXF1 with bowel malrotation, microdeletions of FOXF1 were associated with hypoplastic left heart syndrome and gastrointestinal atresias, probably due to haploinsufficiency for the neighboring FOXC2 and FOXL1 genes. These differences reveal the phenotypic consequences of gene alterations in cis

    Accelerated surgery versus standard care in hip fracture (HIP ATTACK): an international, randomised, controlled trial

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    Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

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    Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

    Reduced metabolic flexibility is a predictor of weight gain among liver transplant recipients.

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    BACKGROUND: Metabolic flexibility is the ability to match biofuel availability to utilization and is inversely associated with increased metabolic burden among liver transplant (LT) recipients. The present study evaluated the impact of metabolic flexibility on weight gain following LT. METHODS: LT recipients were enrolled prospectively (n = 47) and followed for 6 months. Metabolic flexibility was measured using whole room calorimetry and is expressed as respiratory quotient (RQ). Peak RQ represents maximal carbohydrate metabolism and occurs in the post-prandial state, while trough RQ represents maximal fatty acid metabolism occurring in the fasted state. RESULTS: The clinical, metabolic and laboratory characteristics of the study cohort of lost weight (n = 14) and gained weight (n = 33) were similar at baseline. Patients who lost weight were more likely to reach maximal RQ (maximal carbohydrate oxidation) early and rapidly transitioned to trough RQ (maximal fatty acid oxidation). In contrast, patients who gained weight had delayed time to peak RQ and trough RQ. In multivariate modeling, time to peak RQ (ÎČ-coefficient 0.509, p = 0.01), time from peak RQ to trough RQ (ÎČ-coefficient 0.634, p = 0.006), and interaction between time to peak RQ to trough RQ and fasting RQ (ÎČ-coefficient 0.447, p = 0.02) directly correlated with severity of weight gain. No statistically significant relationship between peak RQ, trough RQ and weight change was demonstrated. CONCLUSION: Inefficient transition between biofuels (carbohydrates and fatty acids) is associated with weight gain in LT recipients that is independent of clinical metabolic risk. These data offer novel insight into the physiology of obesity post-LT with potential to develop new diagnostics and therapeutics

    Loss of sex chromosome in acute myeloid leukemia

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    Loss of sex chromosomes has been reported in normal and malignant marrows and its frequency increases with age in both situations. It is not clear whether the sex chromosome loss is a critical mutational event for neoplastic transformation or a genetic change related to ageing. The present study was undertaken to analyze incidence of loss of sex chromosomes in leukemia patients. Karyotypic analysis in bone marrow cells was carried out in total 270 AML patients registered at G.C.& R.I. during January 2000 to October 2003. Out of 270, 22 patients had loss of sex chromosome in addition to other disease specific chromosomal abnormalities. Out of 22 patients, 50% (11 of 22) were of the pediatric age (up to 14 years), and only 10% (3 of 22) patients were above the age of 50 years, maximum age being 65 years. On follow-up, only in patients with pathological remission normal 46XX/XY karyotypes were seen. Whereas in patients with persistent leukemic activity, clones with loss of sex chromosome were observed. The results indicate that sex chromosome loss in these cases may be equivalent of a clonal cytogenetic process rather than related to ageing process

    Derivation and Validation of a Model to Predict Clinically Significant Portal Hypertension Using Transient Elastography and FIB-4.

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    BACKGROUND: Liver biopsy and hepatic venous pressure gradient (HVPG), the gold standard for assessing advanced fibrosis (AF) and clinically significant portal hypertension (CSPH), are invasive, costly, and time-consuming. GOAL: We investigated if the combination of fibrosis index based on 4 factors (FIB-4) and liver stiffness measure (LSM) can identify AF and more importantly, CSPH. PATIENTS AND METHODS: Patients with chronic liver disease referred for transjugular liver biopsy were analyzed retrospectively. FIB-4 and LSM were compared with liver histology for diagnosing AF. FIB-4, LSM, and platelet count were compared with HVPG for diagnosing CSPH. Optimal cutoffs for predicting CSPH were determined by grid search. A composite log-odds to predict CSPH was derived from logistic regression using LSM, FIB-4, and gender. Internal bootstrap validation and external validation were performed. RESULTS: A total of 142 patients were included in the derivation; 42.3% had AF, and 11.3% had CSPH using the current gold standards. The area under the receiver operating characteristic curve (AUROC) for LSM, FIB-4, and their combination to predict AF were 0.7550, 0.7049, and 0.7768, respectively. LSM, FIB-4, and platelet count predicted CSPH with AUROC 0.6818, 0.7532, and 0.7240, respectively. LSM plus FIB-4 showed the best performance in predicting CSPH with AUROC 0.8155. Based on LSM, FIB-4, and gender, a novel model-the Portal Hypertension Assessment Tool (PHAT)-was developed to predict CSPH. PHAT score ≄-2.76 predicted CSPH with sensitivity 94%, specificity 67%, positive predictive value 27%, negative predictive value 99%, and accuracy 70%. In internal and external validation, AUROCs for the model were 0.8293 and 0.7899, respectively. CONCLUSION: A model consisting of FIB-4, LSM, and gender can identify CSPH among patients with chronic liver disease

    Coronary artery disease in decompensated patients undergoing liver transplantation evaluation.

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    Coronary artery disease (CAD) is an important contributor to morbidity and mortality in patients undergoing liver transplantation (LT). However, the current literature is limited by sampling bias and nondefinitive assessment of CAD. The current study examines the prevalence of CAD via per protocol coronary angiography and its relationship to etiology of liver disease in patients undergoing liver transplantation evaluation (LTE). Data on 228 patients were prospectively collected who had coronary angiography as part of LTE between 2011 and 2014. Coronary angiography was done in all patients age ≄50 years or with CAD risk factors. CAD was defined as any coronary artery stenosis, whereas stenosis ≄ 70% in distribution of 1 or 3 major coronary arteries was considered as single- or triple-vessel disease. CAD was detected in 36.8% of patients, with the highest prevalence among nonalcoholic steatohepatitis (NASH) patients with cirrhosis (52.8%). Prevalence of single-vessel disease was higher among patients with NASH compared with hepatitis C virus (HCV) and alcoholic cirrhosis (15.1% versus 4.6% versus 6.6%; P = 0.02). Similarly, patients with NASH were more likely to have triple-vessel disease when compared with HCV and alcoholic cirrhosis (9.4% versus 0.9% versus 0%; P = 0.001). While adjusting for traditional risk factors for CAD, only NASH as etiology of liver disease remained significantly associated with CAD. Complications from diagnostic coronary angiography or percutaneous coronary intervention were low (2.6%). In conclusion, patients undergoing LTE have a high prevalence of CAD, which varies widely depending on etiology of liver cirrhosis. The procedural complications from coronary angiography are low. Liver Transplantation 24 333-342 2018 AASLD

    Small Dense Low‐Density Lipoprotein Cholesterol Predicts Cardiovascular Events in Liver Transplant Recipients

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    Cardiovascular disease (CVD) is an important cause of morbidity and mortality after liver transplantation (LT). Although LT is associated with dyslipidemia, particularly atherogenic lipoprotein subparticles, the impact of these subparticles on CVD-related events is unknown. Therefore, the aim of the current study was to evaluate the impact of small dense (sdLDL-C) low-density lipoprotein (LDL) cholesterol (LDL-C) on CVD events. Prospectively enrolled patients (N = 130) had detailed lipid profile consisting of traditional lipid parameters and sdLDL-C and were followed for CVD events. The primary endpoint was a CVD composite consisting of myocardial infarction (MI), angina, need for coronary revascularization, and cardiac death. Mean age of the cohort was 58 ± 11 years, and the most common etiology of liver disease (LD) was hepatitis C virus (N = 48) and nonalcoholic steatohepatitis (N = 23). A total of 20 CVD events were noted after median follow-up of 45 months. The baseline traditional profile was similar in patients with and without CVD events. A serum LDL-C cutoff of 100 mg/dL was unable to identify individuals at risk of a CVD event (P = 0.86). In contrast, serum concentration of atherogenic sdLDL-C \u3e25 mg/dL was predictive of CVD events with a hazard ratio of 6.376 (95% confidence interval, 2.65, 15.34; P \u3c 0.001). This relationship was independent of diabetes, hypertension, sex, ethnicity, LD, obesity, and statin use. Conclusion: sdLDL-C independently predicted CVD events whereas LDL-C did not. Thus, sdLDL-C may provide a useful clinical tool in risk stratifying and managing patients after LT
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