COVID-19 and cholesterol biosynthesis: Towards innovative decision support systems

[1]  Christina S Gainey,et al.  Long-term clinical outcomes of patients with COVID-19 and chronic liver disease: US multicenter COLD study , 2023, Hepatology communications.

[2]  R. Fleysher,et al.  Clinical predictors of recovery of COVID-19 associated-abnormal liver function test 2 months after hospital discharge , 2022, Scientific Reports.

[3]  C. Olano,et al.  Remnant cholesterol levels are associated with severity and death in COVID-19 patients , 2022, Scientific Reports.

[4]  K. Letachowicz,et al.  The Usefulness of the COVID-GRAM Score in Predicting the Outcomes of Study Population with COVID-19 , 2022, International journal of environmental research and public health.

[5]  R. Xuereb,et al.  Clinical outcomes at medium-term follow-up of COVID-19 , 2022, The journal of the Royal College of Physicians of Edinburgh.

[6]  Shuangnian Xu,et al.  COVID‐19 metabolism: Mechanisms and therapeutic targets , 2022, MedComm.

[7]  P. Campiglia,et al.  Untargeted lipidomics reveals specific lipid profiles in COVID-19 patients with different severity from Campania region (Italy) , 2022, Journal of Pharmaceutical and Biomedical Analysis.

[8]  S. Taylor-Robinson,et al.  Infection with the hepatitis C virus causes viral genotype-specific differences in cholesterol metabolism and hepatic steatosis , 2022, Scientific Reports.

[9]  L. Ruan,et al.  Comparing different machine learning techniques for predicting COVID-19 severity , 2022, Infectious Diseases of Poverty.

[10]  O. Gülcü,et al.  Relationship Between Blood Lipid Levels and Mortality in Hospitalized COVID-19 Patients , 2022, Angiology.

[11]  D. Tomescu,et al.  ICU-Associated Costs during the Fourth Wave of the COVID-19 Pandemic in a Tertiary Hospital in a Low-Vaccinated Eastern European Country , 2022, International journal of environmental research and public health.

[12]  P. Kirchhof,et al.  Disturbed lipid and amino acid metabolisms in COVID-19 patients , 2022, Journal of Molecular Medicine.

[13]  Xi He,et al.  COVID-19 induces new-onset insulin resistance and lipid metabolic dysregulation via regulation of secreted metabolic factors , 2021, Signal Transduction and Targeted Therapy.

[14]  R. Paroni,et al.  Link between serum lipid signature and prognostic factors in COVID-19 patients , 2021, Scientific Reports.

[15]  R. Gil-Redondo,et al.  Uneven metabolic and lipidomic profiles in recovered COVID‐19 patients as investigated by plasma NMR metabolomics , 2021, NMR in biomedicine.

[16]  M. Radzina,et al.  Intriguing findings of liver fibrosis following COVID-19 , 2021, BMC Gastroenterology.

[17]  S. Doğan,et al.  Prognostic significance of temporal changes of lipid profile in COVID-19 patients , 2021, Obesity Medicine.

[18]  M. Halloran,et al.  Transition to endemicity: Understanding COVID-19 , 2021, Immunity.

[19]  M. Clerici,et al.  Severity of COVID-19 Patients Predicted by Serum Sphingolipids Signature , 2021, International journal of molecular sciences.

[20]  Lulu Chen,et al.  Prognostic Value of Leucocyte to High-Density Lipoprotein-Cholesterol Ratios in COVID-19 Patients and the Diabetes Subgroup , 2021, Frontiers in Endocrinology.

[21]  G. Allali,et al.  Breathlessness and COVID-19: A Call for Research , 2021, Respiration.

[22]  Yilong Pan,et al.  Association of dyslipidemia with the severity and mortality of coronavirus disease 2019 (COVID-19): a meta-analysis , 2021, Virology journal.

[23]  S. Mehrotra,et al.  Alterations of lipid metabolism provide serologic biomarkers for the detection of asymptomatic versus symptomatic COVID-19 patients , 2021, Scientific Reports.

[24]  A. Remaley,et al.  The NIH Lipo-COVID Study: A Pilot NMR Investigation of Lipoprotein Subfractions and Other Metabolites in Patients with Severe COVID-19 , 2021, Biomedicines.

[25]  W. Liu,et al.  Dyslipidemia Is Related to Mortality in Critical Patients With Coronavirus Disease 2019: A Retrospective Study , 2021, Frontiers in Endocrinology.

[26]  J. Sánchez-Payá,et al.  The COVID-GRAM Tool for Patients Hospitalized With COVID-19 in Europe. , 2021, JAMA internal medicine.

[27]  A. Zamora,et al.  Low HDL and high triglycerides predict COVID-19 severity , 2021, Scientific Reports.

[28]  Lanjuan Li,et al.  The serum metabolome of COVID-19 patients is distinctive and predictive , 2021, Metabolism.

[29]  Sha Li,et al.  Lipid metabolism changes in patients with severe COVID-19 , 2021, Clinica Chimica Acta.

[30]  Zheng Yuan,et al.  The clinical value of high-density lipoprotein in the evaluation of new coronavirus pneumonia. , 2021, Advances in clinical and experimental medicine : official organ Wroclaw Medical University.

[31]  G. Fabbrocini,et al.  Dysregulation of lipid metabolism and pathological inflammation in patients with COVID-19 , 2021, Scientific Reports.

[32]  N. Zaki,et al.  Prediction of COVID-19 severity using laboratory findings on admission: informative values, thresholds, ML model performance , 2021, BMJ Open.

[33]  M. Ghany,et al.  Liver Disease and Coronavirus Disease 2019: From Pathogenesis to Clinical Care , 2020, Hepatology.

[34]  Yong Zhou,et al.  Lipid Profile Features and Their Associations With Disease Severity and Mortality in Patients With COVID-19 , 2020, Frontiers in Cardiovascular Medicine.

[35]  T. Akbulut,et al.  Containment measures established during the COVID-19 outbreak and its impact on lipid profile and neutrophil to lymphocyte ratio. , 2020, European review for medical and pharmacological sciences.

[36]  M. Trauner,et al.  Pathophysiological mechanisms of liver injury in COVID‐19 , 2020, Liver international : official journal of the International Association for the Study of the Liver.

[37]  D. Rozman,et al.  Cholesterol, lipoproteins, and COVID-19: Basic concepts and clinical applications , 2020, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

[38]  E. Holmes,et al.  Blood molecular markers associated with COVID‐19 immunopathology and multi‐organ damage , 2020, The EMBO journal.

[39]  Yuanlin Song,et al.  COVID-19-associated gastrointestinal and liver injury: clinical features and potential mechanisms , 2020, Signal Transduction and Targeted Therapy.

[40]  I. Amat-Santos,et al.  Low-density lipoprotein cholesterol levels are associated with poor clinical outcomes in COVID-19 , 2020, Nutrition, Metabolism and Cardiovascular Diseases.

[41]  O. Meilhac,et al.  Lipoprotein concentrations over time in the intensive care unit COVID-19 patients: Results from the ApoCOVID study , 2020, PloS one.

[42]  Guo-bao Wu,et al.  Low high-density lipoprotein level is correlated with the severity of COVID-19 patients: an observational study , 2020, Lipids in health and disease.

[43]  D. Rozman,et al.  Simplified LC-MS Method for Analysis of Sterols in Biological Samples , 2020, Molecules.

[44]  S. Li,et al.  Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements , 2020, Computational and Structural Biotechnology Journal.

[45]  G. Palù,et al.  The Clinically Approved Antifungal Drug Posaconazole Inhibits Human Cytomegalovirus Replication , 2020, Antimicrobial Agents and Chemotherapy.

[46]  Guiqing He,et al.  Declined serum high density lipoprotein cholesterol is associated with the severity of COVID-19 infection , 2020, Clinica Chimica Acta.

[47]  M. Xie,et al.  Laboratory characteristics of patients infected with the novel SARS-CoV-2 virus , 2020, Journal of Infection.

[48]  Guo-bao Wu,et al.  Low high-density lipoprotein level is correlated with the severity of COVID-19 patients: an observational study , 2020, Lipids in Health and Disease.

[49]  Q. Ye,et al.  Hepatic complications of COVID‐19 and its treatment , 2020, Journal of medical virology.

[50]  Limin Ou,et al.  Development and Validation of a Clinical Risk Score to Predict the Occurrence of Critical Illness in Hospitalized Patients With COVID-19. , 2020, JAMA internal medicine.

[51]  Roberto Maroldi,et al.  Chest X-ray severity index as a predictor of in-hospital mortality in coronavirus disease 2019: A study of 302 patients from Italy , 2020, International Journal of Infectious Diseases.

[52]  L. Mombaerts,et al.  An interpretable mortality prediction model for COVID-19 patients , 2020, Nature Machine Intelligence.

[53]  M. Abu-Farha,et al.  The Role of Lipid Metabolism in COVID-19 Virus Infection and as a Drug Target , 2020, International journal of molecular sciences.

[54]  Wenjuan Zeng,et al.  Hypolipidemia is associated with the severity of COVID-19 , 2020, Journal of Clinical Lipidology.

[55]  R. Vunnam,et al.  Gastrointestinal, hepatobiliary, and pancreatic manifestations of COVID-19 , 2020, Journal of Clinical Virology.

[56]  Yanhong Zhang,et al.  Cholesterol Metabolism--Impact for SARS-CoV-2 Infection Prognosis, Entry, and Antiviral Therapies , 2020, medRxiv.

[57]  Zebao He,et al.  Proteomic and Metabolomic Characterization of COVID-19 Patient Sera , 2020, Cell.

[58]  O. Meilhac,et al.  High-density lipoproteins during sepsis: from bench to bedside , 2020, Critical Care.

[59]  H. Kauczor,et al.  The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic , 2020, Chest.

[60]  Juan Wang,et al.  Correlation analysis between disease severity and clinical and biochemical characteristics of 143 cases of COVID-19 in Wuhan, China: a descriptive study , 2020, BMC Infectious Diseases.

[61]  J. Xiang,et al.  Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study , 2020, The Lancet.

[62]  Guiqing He,et al.  Low Serum Cholesterol Level Among Patients with COVID-19 Infection in Wenzhou, China , 2020 .

[63]  C. Akdis,et al.  Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China , 2020, Allergy.

[64]  J. Houtman,et al.  The lipid membrane of HIV-1 stabilizes the viral envelope glycoproteins and modulates their sensitivity to antibody neutralization , 2019, The Journal of Biological Chemistry.

[65]  H. Chakraborty,et al.  Membrane Cholesterol Modulates Oligomeric Status and Peptide-membrane Interaction of Severe Acute Respiratory Syndrome Coronavirus Fusion Peptide. , 2019, The journal of physical chemistry. B.

[66]  D. Rozman,et al.  Oxysterols and Gastrointestinal Cancers Around the Clock , 2019, Front. Endocrinol..

[67]  V. Cardoso,et al.  Serum lipid profile as a predictor of dengue severity: A systematic review and meta‐analysis , 2019, Reviews in medical virology.

[68]  Y. Li,et al.  Altered Lipid Metabolism in Recovered SARS Patients Twelve Years after Infection , 2017, Scientific Reports.

[69]  K. Walley,et al.  Decreased high‐density lipoprotein cholesterol level is an early prognostic marker for organ dysfunction and death in patients with suspected sepsis , 2017, Journal of critical care.

[70]  Alaa Tharwat,et al.  Linear vs. quadratic discriminant analysis classifier: a tutorial , 2016, Int. J. Appl. Pattern Recognit..

[71]  Priscilla L. Yang,et al.  Desmosterol Increases Lipid Bilayer Fluidity during Hepatitis C Virus Infection. , 2016, ACS infectious diseases.

[72]  Diane Kelly,et al.  An algorithm for rapid computational construction of metabolic networks: A cholesterol biosynthesis example , 2013, Comput. Biol. Medicine.

[73]  Oliver Kramer,et al.  Dimensionality Reduction with Unsupervised Nearest Neighbors , 2013, Intelligent Systems Reference Library.

[74]  R. Chung,et al.  Lipid metabolite profiling identifies desmosterol metabolism as a new antiviral target for hepatitis C virus. , 2012, Journal of the American Chemical Society.

[75]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[76]  Witold R. Rudnicki,et al.  Feature Selection with the Boruta Package , 2010 .

[77]  Kai Simons,et al.  Lipid Rafts As a Membrane-Organizing Principle , 2010, Science.

[78]  G. Schmitz,et al.  Changes in HDL-associated apolipoproteins relate to mortality in human sepsis and correlate to monocyte and platelet activation , 2009, Intensive Care Medicine.

[79]  D. Gómez-Coronado,et al.  Desmosterol can replace cholesterol in sustaining cell proliferation and regulating the SREBP pathway in a sterol-Delta24-reductase-deficient cell line. , 2009, The Biochemical journal.

[80]  Yanchun Zhang,et al.  AdaBoost algorithm with random forests for predicting breast cancer survivability , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[81]  Pan‐Chyr Yang,et al.  Low serum level of high-density lipoprotein cholesterol is a poor prognostic factor for severe sepsis* , 2005, Critical care medicine.

[82]  B. Peterlin,et al.  Nef increases the synthesis of and transports cholesterol to lipid rafts and HIV-1 progeny virions , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[83]  J. Verhoef,et al.  Lipoprotein metabolism in patients with severe sepsis , 2003, Critical care medicine.

[84]  G. Schmitz,et al.  Plasma ceramide and lysophosphatidylcholine inversely correlate with mortality in sepsis patients Published, JLR Papers in Press, January 16, 2003. DOI 10.1194/jlr.M200401-JLR200 , 2003, Journal of Lipid Research.

[85]  Lucila Ohno-Machado,et al.  Logistic regression and artificial neural network classification models: a methodology review , 2002, J. Biomed. Informatics.

[86]  M. W Gardner,et al.  Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences , 1998 .

[87]  E. Ikonen,et al.  Functional rafts in cell membranes , 1997, Nature.

[88]  Michael Keith.  Random Forest , 2021, Machine Learning with Regression in Python.

[89]  D. Rozman,et al.  Sterols from the Post-Lanosterol Part of Cholesterol Synthesis: Novel Signaling Players , 2020 .

[90]  Tanja Hueber,et al.  Gaussian Processes For Machine Learning , 2016 .

[91]  Andrew J. Brown,et al.  Chapter 11 – Cholesterol Synthesis , 2016 .

[92]  J. Pascussi,et al.  Interplay between cholesterol and drug metabolism. , 2011, Biochimica et biophysica acta.

[93]  A. E. Russell,et al.  Preputial Gland Tumor Sterols , 2003 .

[94]  Thomas J. Watson,et al.  An empirical study of the naive Bayes classifier , 2001 .

[95]  C. W. Metz.  The Role of the , 1934 .