Cooperdoherty9307
The precise concentrations of full-length parathyroid hormone (PTH1-84) and the identity and concentrations of PTH fragments in patients with various stages of chronic renal failure are unknown.
We developed a liquid chromatography-high resolution mass spectrometry (LC-HRMS) method to characterize and quantify PTH1-84 and PTH fragments in serum of 221 patients with progressive renal dysfunction. Following capture by matrix-bound amino-terminal or carboxyl-terminal region-specific antibodies and elution from matrix, PTH1-84 and PTH fragments were identified and quantitated using LC-HRMS. PTH was simultaneously measured using an intact PTH (iPTH) immunoassay.
Full-length PTH1-84 and 8 PTH fragments (PTH28-84, 34-77, 34-84, 37-77, 37-84, 38-77, 38-84, and 45-84) were unequivocally identified and were shown to increase significantly when an eGFR declined to ≤17-23 mL/min/1.73m2. Serum concentrations of PTH1-84 were similar when measured by LC-HRMS following capture by amino-terminal or carboxyl-terminal immntrations measured using LC-HRMS tend to be lower than those measured using an iPTH immunoassay, particularly in severe chronic renal failure. Our data do not support the existence of circulating PTH7-84 and oxidized PTH1-84.
The processing of k-mers (subsequences of length k) is at the foundation of many sequence processing algorithms in bioinformatics, including k-mer counting for genome size estimation, genome assembly, and taxonomic classification for metagenomics. Minimizers-ordered m-mers where m < k - are often used to group k-mers into bins as a first step in such processing. However, minimizers are known to generate bins of very different sizes, which can pose challenges for distributed and parallel processing, as well as generally increase memory requirements. Furthermore, although various minimizer orderings have been proposed, their practical value for improving tool efficiency has not yet been fully explored.
We present Discount, a distributed k-mer counting tool based on Apache Spark, which we use to investigate the behaviour of various minimizer orderings in practice when applied to metagenomics data. Using this tool, we then introduce the universal frequency ordering, a new combination of frequencysampled minimizers and universal k-mer hitting sets, which yields both evenly distributed binning and small bin sizes. We show that this ordering allows Discount to perform distributed k-mer counting on a large dataset in as little as 1/8 of the memory of comparable approaches, making it the most efficient out-of-core distributed k-mer counting method available.
Discount is GPL licensed and available at https//github.com/jtnystrom/discount.
Supplementary data are available at Bioinformatics online.
Supplementary data are available at Bioinformatics online.
The extent to which human immunodeficiency viral (HIV) infection is independently associated with myocardial disease in the era of combination antiretroviral therapy (cART) remains understudied. We assessed differences in cardiovascular magnetic resonance imaging (CMR) metrics among people living with HIV (PLWH) and without HIV (PWOH).
Among 436 participants (aged 54.7 ± 6.0 years, 29% women) from three cohorts, we acquired CMR cines, late gadolinium enhancement (LGE), and T1 mapping. Multivariable linear regressions were used to evaluate associations between HIV serostatus and CMR metrics. Baseline characteristics were similar by HIV serostatus; 63% were PLWH of whom 88% received cART and 73% were virally suppressed. Median left ventricular ejection fraction was normal and similar by HIV serostatus (73%, PWOH vs. 72%, PLWH, P = 0.43) as were right ventricular function, biventricular volumes, and masses. LGE prevalence was similar (32%, PWOH vs. 36%, PLWH, P = 0.46) with low scar extents (4.1, PWOH vs. 4.9 g, PLWH, P = 0.51) and few ischaemic scars (3%, PWOH vs. 4%, PLWH, P = 0.70). Extracellular volume fraction (ECV) was higher among PLWH (29.2 ± 4.1% vs. 28.3 ± 3.7%, P = 0.04) as was indexed maximum left atrial (LA) volume (LAVI, 29.7 ± 10.3 vs. 27.8 ± 8.7 mL/m2, P = 0.05). After multivariate adjustment, ECV was 0.84% higher among PLWH (P = 0.05) and LAVI was 2.45 mL/m2 larger (P = 0.01). HIV seropositivity and higher ECV contributed to higher LAVI (P < 0.02). There were no associations between HIV disease severity and CMR metrics among PLWH.
HIV seropositivity was independently associated with greater diffuse non-ischaemic fibrosis and larger LA volume but no other differences in CMR metrics.
HIV seropositivity was independently associated with greater diffuse non-ischaemic fibrosis and larger LA volume but no other differences in CMR metrics.
A novel pathway incorporating faecal immunochemical testing (FIT) for rapid colorectal cancer diagnosis (RCCD) was introduced in 2017. This paper reports on the service evaluation after 2 years of pathway implementation.
The RCCD protocol was based on FIT, blood results and symptoms to stratify adult patients in primary care. Two-week-wait (2WW) investigation was indicated for patients with rectal bleeding, rectal mass and faecal haemoglobin (fHb) level of 10 µg Hb/g faeces or above or 4 µg Hb/g faeces or more in the presence of anaemia, low ferritin or thrombocytosis, in all other symptom groups. Patients with 100 µg Hb/g faeces or above had expedited investigation . A retrospective audit of colorectal cancer detected between 2017 and 2019 was conducted, fHb thresholds were reviewed and critically assessed for cancer diagnoses.
In 2 years, 14788 FIT tests were dispatched with 13361 (90.4 per cent) completed returns. Overall, fHb was less than 4 µg Hb/g faeces in 9208 results (68.9 per cent), 4-9.9 µg Hsted with blood results to improve stratification .COVID-19 vaccine trials provide valuable insight into the safety and efficacy of vaccines, with individually-randomized, placebo-controlled trials being the gold standard in trial design. However, a myriad of variables must be considered as clinical trial data are interpreted and used to guide policy decisions. These variables include factors such as the characteristics of the study population and circulating SARS-CoV-2 strains, the force of infection, the definition and ascertainment of endpoints, the timing of vaccine efficacy assessment, and the potential for performance bias. In this Viewpoint, we discuss critical variables to consider when comparing efficacy measurements across current and future COVID-19 vaccine trials.
COVID-19 associated pulmonary aspergillosis (CAPA) occurs in critically ill COVID-19 patients. Risks and outcomes remain poorly understood.
A retrospective cohort study of adult mechanically ventilated COVID-19 patients admitted to five Johns Hopkins hospitals was conducted between March and August 2020. CAPA was defined using composite clinical criteria. Fine and Gray competing risks regression was used to analyze clinical outcomes and multilevel mixed-effects ordinal logistic regression was used to compare longitudinal disease severity scores.
Amongst the cohort of 396 people, 39 met criteria for CAPA. Compared to those without, patients with CAPA were more likely to have underlying pulmonary vascular disease (41% vs 21.6%, p=0.01), liver disease (35.9% vs 18.2%, p=0.02), coagulopathy (51.3% vs 33.1%, p=0.03), solid tumors (25.6% vs 10.9%, p=0.017), multiple myeloma (5.1% vs 0.3%, p=0.027), corticosteroid exposure during index admission (66.7% vs 42.6%, p=0.005), and had a lower BMI (median 26.6 vs 29.9, p=0.04). People with CAPA had worse outcomes as measured by ordinal severity of disease scores, requiring longer time to improvement (adjusted odds ratio 1.081.091.1, p<0.001), and advancing in severity almost twice as fast (subhazard ratio, sHR 1.31.82.5, p<0.001). see more People with CAPA were intubated twice as long as those without (sHR) 0.40.50.6, p<0.001) and had a longer hospital length of stay [median (IQR) 41.1 (20.5, 72.4) vs 18.5 (10.7, 31.8), p<0.001].
CAPA is associated with poor outcomes. Attention towards preventative measures (screening and/or prophylaxis) is warranted in people with high risk of developing CAPA.
CAPA is associated with poor outcomes. Attention towards preventative measures (screening and/or prophylaxis) is warranted in people with high risk of developing CAPA.
Within extending urban areas, trees serve a multitude of functions (e.g. carbon storage, suppression of air pollution, mitigation of the 'heat island' effect, oxygen, shade and recreation). Many of these services are positively correlated with tree size and structure. The quantification of above-ground biomass (AGB) is of especial importance to assess its carbon storage potential. However, quantification of AGB is difficult and the allometries applied are often based on forest trees, which are subject to very different growing conditions, competition and form. In this article we highlight the potential of terrestrial laser scanning (TLS) techniques to extract highly detailed information on urban tree structure and AGB.
Fifty-five urban trees distributed over seven cities in Switzerland were measured using TLS and traditional forest inventory techniques before they were felled and weighed. Tree structure, volume and AGB from the TLS point clouds were extracted using quantitative structure modelling. TLS-deindependent of tree species, size and form. This allows us to retrieve highly accurate non-destructive AGB estimates that could be used to establish new allometric equations without the need for extensive destructive harvesting.
Abdominal body contouring procedures are associated with the highest rates of complications among all aesthetic procedures. Patient selection and optimization of surgical variables are crucial in reducing morbidity and complications.
The purpose of this single institution study is to assess complication rates, and to evaluate Body Mass Index (BMI), operative time, and history of bariatric surgery as individual risk factors in abdominal body contouring surgery.
A retrospective chart review was performed of all patients who underwent abdominoplasty, circumferential lower body lift, fleur-de-lis panniculectomy (FDL) and circumferential FDL from August 2014 to February 2020. Endpoints were the incidence of venous thromboembolism, bleeding events, seroma, infection, wound complications, and reoperations. Univariate statistical analysis and multivariate logistic regressions were performed. Covariates in the multivariate logistic regression were BMI, procedure time, and history of bariatric surgery.
A total her rates of minor reoperation.
Identification of system-wide causal relationships can contribute to our understanding of long-distance, intercellular signaling in biological organisms. Dynamic transcriptome analysis holds great potential to uncover coordinated biological processes between organs. However, many existing dynamic transcriptome studies are characterized by sparse and often unevenly spaced time points that make the identification of causal relationships across organs analytically challenging. Application of existing statistical models, designed for regular time series with abundant time points, to sparse data may fail to reveal biologically significant, causal relationships. With increasing research interest in biological time series data, there is a need for new statistical methods that are able to determine causality within and between time series data sets. Here, a statistical framework was developed to identify (Granger) causal gene-gene relationships of unevenly spaced, multivariate time series data from two different tissues of Arabidopsis thaliana in response to a nitrogen signal.
