Serum Cholesterol and Low-Density Lipoprotein Cholesterol Levels as Predictors of Response to Interferon Therapy for Chronic Hepatitis C
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Abstract
Letters2 May 2000Serum Cholesterol and Low-Density Lipoprotein Cholesterol Levels as Predictors of Response to Interferon Therapy for Chronic Hepatitis CGerald Y. Minuk, MD, FRCPC, Sharon Weinstein, RN, and Kelly D. Kaita, MD, FRCPCGerald Y. Minuk, MD, FRCPCUniversity of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Minuk)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Weinstein)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Kaita), Sharon Weinstein, RNUniversity of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Minuk)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Weinstein)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Kaita), and Kelly D. Kaita, MD, FRCPCUniversity of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Minuk)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Weinstein)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Kaita)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-132-9-200005020-00023 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail TO THE EDITOR:The hepatitis C virus (HCV) is thought to partially circulate in the blood bound to low-density lipoprotein (LDL) particles (1). A study recently suggested that the extent of HCV-lipoprotein co-migration may correlate with the severity of liver disease (2). Whether a similar correlation exists in terms of response to antiviral therapy remains to be determined. We prospectively documented measures of lipid metabolism (cholesterol, triglyceride, high-density lipoprotein, LDL, apolipoprotein A-I, and apolipoprotein B) in 7 chronic HCV carriers with liver enzyme levels that normalized and HCV RNA that cleared from the circulation for at least 6 months after ...References1. Thomssen R, Bonk S, Propfe C, Heermann KH, Kochel HG, Uy A. Association of hepatitis C virus in human sera with β-lipoprotein. Med Microbiol Immunol Berl. 1992;181:293-300. CrossrefMedlineGoogle Scholar2. Watson JP, Bevitt DJ, Spickett GP, Toms GL, Bassendine MF. Hepatitis C virus density heterogeneity and viral titre in acute and chronic infection: a comparison of immunodeficient and immunocompetent patients. J Hepatol. 1996;25:599-607. CrossrefMedlineGoogle Scholar3. Fabris C, Federico E, Soardo G, Falleti E, Pirisi M. Blood lipids of patients with chronic hepatitis: differences related to viral etiology. Clin Chem Acta. 1997;261:159-65. CrossrefMedlineGoogle Scholar4. Monazahian M, Bohme I, Bonk S, Koch A, Scholz C, Grethe S, et al . Low density lipoprotein receptor as a candidate receptor for hepatitis C virus. J Med Virol. 1999;57:223-9. CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAuthors: Gerald Y. Minuk, MD, FRCPC; Sharon Weinstein, RN; Kelly D. Kaita, MD, FRCPCAffiliations: University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Minuk)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Weinstein)University of Manitoba; Winnipeg, Manitoba R3E 1R9, Canada (Kaita) PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoCholesterol and Lipoprotein Levels as Predictors of Response to Interferon for Hepatitis C Hidenori Toyoda and Takashi Kumada Metrics Cited byHepatitis C virus clearance and less liver damage in patients with high cholesterol, low-density lipoprotein cholesterol and APOE ε 4 alleleLipids, glucose and iron metabolic alterations in chronic hepatitis C after viral eradication – comparison of the new direct-acting antiviral agents with the old regimensThe impact of pegylated interferon and ribavirin combination treatment on lipid metabolism and insulin resistance in chronic hepatitis C patientsIntensified Peginterferon α-2a Dosing Increases Sustained Virologic Response Rates in Heavy, High Viral Load Hepatitis C Genotype 1 Patients With High Low-density LipoproteinPleiotropy and allelic heterogeneity in the TOMM40-APOE genomic region related to clinical and metabolic features of hepatitis C infectionLipid Profiles and Hepatitis C Viral Markers in HCV-Infected Thalassemic PatientsThe Effect of Antiviral Therapy on Serum Cholesterol Levels in Chronic Hepatitis CSex and age differences in lipid response to chronic infection with the hepatitis C virus in the United States National Health and Nutrition Examination SurveysIL28B polymorphism and genetic biomarkers of viral clearance in hepatitis C virus infectionSerum cholesterol and statin use predict virological response to peginterferon and ribavirin therapyInterferon-lambda genotype and low serum low-density lipoprotein cholesterol levels in patients with chronic hepatitis C infectionAssociation between lipoprotein subfraction profile and the response to hepatitis C treatment in Japanese patients with genotype 1bA predictive model of response to peginterferon ribavirin in chronic hepatitis C using classification and regression tree analysisMevalonate pathway modulation is associated with hepatitis C virus RNA presence in peripheral blood mononuclear cellsInsulin resistance is not a relevant predictor of sustained virological response to pegylated interferon plus ribavirin in HIV/HCV co-infected patientsBaseline serum low-density lipoprotein cholesterol levels predict response to hepatitis C virus therapy in HIV/hepatitis C virus coinfected patientsBaseline cholesterol is associated with the response to antiviral therapy in chronic hepatitis CLeptin restores plasma cholesterol, glucose and weight loss induced by IFNα treatmentCorrelation between beta-lipoprotein levels and outcome of hepatitis C treatmentIFN-α induces apoptosis of adipose tissue cellsChanges in serum lipid concentrations in patients with chronic hepatitis C virus positive hepatitis responsive or non-responsive to interferon therapyReplyReplyHepatitis C Virus–Associated Hypobetalipoproteinemia Is Correlated With Plasma Viral Load, Steatosis, and Liver FibrosisCholesterol and Lipoprotein Levels as Predictors of Response to Interferon for Hepatitis CHidenori Toyoda, MD and Takashi Kumada, MD 2 May 2000Volume 132, Issue 9Page: 761-762KeywordsApolipoproteinsCell bindingCholesterolEnzymesHypercholesterolemiaInterferonsLipid metabolismLiverLow density lipoproteinViral clearance ePublished: 15 August 2000 Issue Published: 2 May 2000 Copyright & PermissionsCopyright © 2000 by American College of Physicians. 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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".