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      Nonsevere Burn Induces a Prolonged Systemic Metabolic Phenotype Indicative of a Persistent Inflammatory Response Postinjury

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          Abstract

          Globally, burns are a significant cause of injury that can cause substantial acute trauma as well as lead to increased incidence of chronic comorbidity and disease. To date, research has primarily focused on the systemic response to severe injury, with little in the literature reported on the impact of nonsevere injuries (<15% total burn surface area; TBSA). To elucidate the metabolic consequences of a nonsevere burn injury, longitudinal plasma was collected from adults ( n = 35) who presented at hospital with a nonsevere burn injury at admission, and at 6 week follow up. A cross-sectional baseline sample was also collected from nonburn control participants ( n = 14). Samples underwent multiplatform metabolic phenotyping using 1H nuclear magnetic resonance spectroscopy and liquid chromatography-mass spectrometry to quantify 112 lipoprotein and glycoprotein signatures and 852 lipid species from across 20 subclasses. Multivariate data modeling (orthogonal projections to latent structures-discriminate analysis; OPLS-DA) revealed alterations in lipoprotein and lipid metabolism when comparing the baseline control to hospital admission samples, with the phenotypic signature found to be sustained at follow up. Univariate (Mann–Whitney U) testing and OPLS-DA indicated specific increases in GlycB ( p-value < 1.0e –4), low density lipoprotein-2 subfractions (variable importance in projection score; VIP > 6.83e –1) and monoacyglyceride (20:4) ( p-value < 1.0e –4) and decreases in circulating anti-inflammatory high-density lipoprotein-4 subfractions (VIP > 7.75e –1), phosphatidylcholines, phosphatidylglycerols, phosphatidylinositols, and phosphatidylserines. The results indicate a persistent systemic metabolic phenotype that occurs even in cases of a nonsevere burn injury. The phenotype is indicative of an acute inflammatory profile that continues to be sustained postinjury, suggesting an impact on systems health beyond the site of injury. The phenotypes contained metabolic signatures consistent with chronic inflammatory states reported to have an elevated incidence postburn injury. Such phenotypic signatures may provide patient stratification opportunities, to identify individual responses to injury, personalize intervention strategies, and improve acute care, reducing the risk of chronic comorbidity.

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          The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets

          Binary classifiers are routinely evaluated with performance measures such as sensitivity and specificity, and performance is frequently illustrated with Receiver Operating Characteristics (ROC) plots. Alternative measures such as positive predictive value (PPV) and the associated Precision/Recall (PRC) plots are used less frequently. Many bioinformatics studies develop and evaluate classifiers that are to be applied to strongly imbalanced datasets in which the number of negatives outweighs the number of positives significantly. While ROC plots are visually appealing and provide an overview of a classifier's performance across a wide range of specificities, one can ask whether ROC plots could be misleading when applied in imbalanced classification scenarios. We show here that the visual interpretability of ROC plots in the context of imbalanced datasets can be deceptive with respect to conclusions about the reliability of classification performance, owing to an intuitive but wrong interpretation of specificity. PRC plots, on the other hand, can provide the viewer with an accurate prediction of future classification performance due to the fact that they evaluate the fraction of true positives among positive predictions. Our findings have potential implications for the interpretation of a large number of studies that use ROC plots on imbalanced datasets.
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            Sequence variations in PCSK9, low LDL, and protection against coronary heart disease.

            A low plasma level of low-density lipoprotein (LDL) cholesterol is associated with reduced risk of coronary heart disease (CHD), but the effect of lifelong reductions in plasma LDL cholesterol is not known. We examined the effect of DNA-sequence variations that reduce plasma levels of LDL cholesterol on the incidence of coronary events in a large population. We compared the incidence of CHD (myocardial infarction, fatal CHD, or coronary revascularization) over a 15-year interval in the Atherosclerosis Risk in Communities study according to the presence or absence of sequence variants in the proprotein convertase subtilisin/kexin type 9 serine protease gene (PCSK9) that are associated with reduced plasma levels of LDL cholesterol. Of the 3363 black subjects examined, 2.6 percent had nonsense mutations in PCSK9; these mutations were associated with a 28 percent reduction in mean LDL cholesterol and an 88 percent reduction in the risk of CHD (P=0.008 for the reduction; hazard ratio, 0.11; 95 percent confidence interval, 0.02 to 0.81; P=0.03). Of the 9524 white subjects examined, 3.2 percent had a sequence variation in PCSK9 that was associated with a 15 percent reduction in LDL cholesterol and a 47 percent reduction in the risk of CHD (hazard ratio, 0.50; 95 percent confidence interval, 0.32 to 0.79; P=0.003). These data indicate that moderate lifelong reduction in the plasma level of LDL cholesterol is associated with a substantial reduction in the incidence of coronary events, even in populations with a high prevalence of non-lipid-related cardiovascular risk factors. Copyright 2006 Massachusetts Medical Society.
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              Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study

              Summary Background High plasma HDL cholesterol is associated with reduced risk of myocardial infarction, but whether this association is causal is unclear. Exploiting the fact that genotypes are randomly assigned at meiosis, are independent of non-genetic confounding, and are unmodified by disease processes, mendelian randomisation can be used to test the hypothesis that the association of a plasma biomarker with disease is causal. Methods We performed two mendelian randomisation analyses. First, we used as an instrument a single nucleotide polymorphism (SNP) in the endothelial lipase gene (LIPG Asn396Ser) and tested this SNP in 20 studies (20 913 myocardial infarction cases, 95 407 controls). Second, we used as an instrument a genetic score consisting of 14 common SNPs that exclusively associate with HDL cholesterol and tested this score in up to 12 482 cases of myocardial infarction and 41 331 controls. As a positive control, we also tested a genetic score of 13 common SNPs exclusively associated with LDL cholesterol. Findings Carriers of the LIPG 396Ser allele (2·6% frequency) had higher HDL cholesterol (0·14 mmol/L higher, p=8×10−13) but similar levels of other lipid and non-lipid risk factors for myocardial infarction compared with non-carriers. This difference in HDL cholesterol is expected to decrease risk of myocardial infarction by 13% (odds ratio [OR] 0·87, 95% CI 0·84–0·91). However, we noted that the 396Ser allele was not associated with risk of myocardial infarction (OR 0·99, 95% CI 0·88–1·11, p=0·85). From observational epidemiology, an increase of 1 SD in HDL cholesterol was associated with reduced risk of myocardial infarction (OR 0·62, 95% CI 0·58–0·66). However, a 1 SD increase in HDL cholesterol due to genetic score was not associated with risk of myocardial infarction (OR 0·93, 95% CI 0·68–1·26, p=0·63). For LDL cholesterol, the estimate from observational epidemiology (a 1 SD increase in LDL cholesterol associated with OR 1·54, 95% CI 1·45–1·63) was concordant with that from genetic score (OR 2·13, 95% CI 1·69–2·69, p=2×10−10). Interpretation Some genetic mechanisms that raise plasma HDL cholesterol do not seem to lower risk of myocardial infarction. These data challenge the concept that raising of plasma HDL cholesterol will uniformly translate into reductions in risk of myocardial infarction. Funding US National Institutes of Health, The Wellcome Trust, European Union, British Heart Foundation, and the German Federal Ministry of Education and Research.
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                Author and article information

                Journal
                J Proteome Res
                J Proteome Res
                pr
                jprobs
                Journal of Proteome Research
                American Chemical Society
                1535-3893
                1535-3907
                21 November 2023
                02 August 2024
                21 November 2024
                : 23
                : 8 , Women in Proteomics and Metabolomics
                : 2893-2907
                Affiliations
                []Australian National Phenome Centre, Health Futures Institute, Harry Perkins Institute, Murdoch University , 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
                []Centre for Computational and Systems Medicine, Health Futures Institute, Harry Perkins Institute, Murdoch University , 5 Robin Warren Drive, Perth, Western Australia 6150, Australia
                [§ ]Burns Service of Western Australia, WA Department of Health , Murdoch, Western Australia 6150, Australia
                []Department of Microbiology, PathWest Laboratory Medicine , Perth, Western Australia 6009, Australia
                []Department of Infectious Diseases, Fiona Stanley Hospital , Perth, Western Australia 6150, Australia
                [# ]Chemistry Department, Universidad del Valle , Cali 76001, Colombia
                []Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London , London SW7 2AZ, United Kingdom
                []Burn Injury Research Unit, School of Biomedical Sciences, University of Western Australia , Perth, Western Australia 6009, Australia
                []Fiona Wood Foundation , Perth, Western Australia 6150, Australia
                []Institute of Global Health Innovation, Imperial College London , London SW7 2AZ, United Kingdom
                Author notes
                Author information
                https://orcid.org/0000-0001-9188-7097
                https://orcid.org/0000-0003-1671-6188
                https://orcid.org/0000-0002-9088-4799
                https://orcid.org/0000-0001-9193-0462
                https://orcid.org/0000-0002-5814-7529
                https://orcid.org/0000-0003-1666-9377
                https://orcid.org/0000-0002-3416-2572
                https://orcid.org/0000-0002-0556-8389
                https://orcid.org/0000-0002-3284-6540
                https://orcid.org/0000-0002-8123-8349
                https://orcid.org/0000-0003-3163-4666
                https://orcid.org/0000-0002-0094-5245
                Article
                10.1021/acs.jproteome.3c00516
                11302432
                38104259
                5531cf9e-7f69-4a75-9bf2-295236836dc3
                © 2023 The Authors. Published by American Chemical Society

                Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works ( https://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 16 August 2023
                Funding
                Funded by: Government of Western Australia, doi 10.13039/501100011025;
                Award ID: NA
                Funded by: Medical Research Future Fund, doi NA;
                Award ID: NA
                Funded by: Government of Western Australian Premier’s Fellowship, doi NA;
                Award ID: NA
                Funded by: Department of Health Research Translation Programme, doi NA;
                Award ID: NA
                Funded by: Commonwealth of Australia, doi NA;
                Award ID: NA
                Funded by: Australian Research Council Laureate Fellowship, doi NA;
                Award ID: NA
                Funded by: Spinnaker Health Research Foundation, doi 10.13039/501100022560;
                Award ID: NA
                Funded by: Fiona Wood Foundation, doi 10.13039/501100022218;
                Award ID: NA
                Funded by: Department of Jobs, Tourism, Science and Innovation, Government of Western Australia, doi 10.13039/501100020578;
                Award ID: NA
                Categories
                Article
                Custom metadata
                pr3c00516
                pr3c00516

                Molecular biology
                acute burn injury,nonsevere burn,thermal injury,inflammation,metabolic phenotyping,lipids,lipoproteins,supramolecular phospholipid composite,nuclear magnetic resonance,liquid chromatography-tandem mass spectrometry

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