ArticleVirology journal2013
Dynamic interplay between CXCL levels in chronic hepatitis C patients treated by interferon.
Article in Virology journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01758939 (Phase 4 Predictors of Response to Combined Pegylated Interferon and Ribavirin in Chronic Hepatitis C Genotype IV Infected Egyptian Patients), which is not on this map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Phase 4 Predictors of Response to Combined Pegylated Interferon and Ribavirin in Chronic Hepatitis C Genotype IV Infected Egyptian Patients
Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Role of Inflammation in Virus Pathogenesis during Pregnancy.Journal of virology · 2020Review
- Cytokine-Mediated Tissue Injury in Non-human Primate Models of Viral Infections.Frontiers in immunology · 2018Review
- Hepatitis C virus-associated pruritus: Etiopathogenesis and therapeutic strategies.World journal of gastroenterology · 2017Review
- Acute and chronic immune biomarker changes during interferon/ribavirin treatment in HIV/HCV co-infected patients.Journal of viral hepatitis · 2015Article
- The role of chemokines in hepatitis C virus-mediated liver disease.International journal of molecular sciences · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCombined pegylated interferon-α and ribavirin therapy has sustained virological response (SVR) rates of 54% to 61%. Pretreatment predictors of SVR to interferon therapy have not been fully investigated yet. The current study assesses a group of chemokines that may predict treatment response in Egyptian patients with chronic HCV infection. PATIENTS AND
methodsCXCL5, CXCL9, CXCL11, CXCL12, CXCL 13, CXCL 16 chemokines and E-Cadherin were assayed in 57 chronic HCV patients' sera using quantitative ELISA plate method. All studied patients were scheduled for combined pegylated interferon alpha and ribavirin therapy (32 patients received pegylated interferon α 2b, and 25 patients received pegylated interferon α 2a). Quantitative hepatitis C virus RNA was done by real time RT-PCR and HCV genotyping by INNOLIPAII.
resultsThere was no significant difference (p > 0.05) in baseline HCV RNA levels between responders and non-responders to interferon. A statistically significant difference in CXCL13 (p = 0.017) and E-Cadherin levels (P = 0.041) was reported between responders and nonresponders at week 12. Significant correlations were found between changes in the CXCL13 levels and CXCL9, CXCL16, E-cadherin levels as well as between changes in E-cadherin levels and both CXCL16 and ALT levels that were maintained during follow up. Also, significant changes have been found in the serum levels of CXCL5, CXCL13, and CXCL16 with time (before pegylated interferon α 2 a and α 2 b therapy, and at weeks 12 and 24) with no significant difference in relation to interferon type and response to treatment.
conclusionSerum levels of CXCL13 and E-Cadherin could be used as surrogate markers to predict response of combined PEG IFN-α/RBV therapy, especially at week 12. However, an extended study including larger number of patients is needed for validation of these findings. CLINICAL TRIAL NO: NCT01758939.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.