Serum MiRNA panel as potential biomarkers for chronic hepatitis B with persistently normal alanine aminotransferase
| Autor: | Guo-Hong Ge, Danfeng Wen, You-Wen Tan, Tengli Pan, Jian-He Gan |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Adult
Male medicine.medical_specialty Clinical Biochemistry Logistic regression medicine.disease_cause Biochemistry Gastroenterology law.invention Hepatitis B Chronic law Internal medicine medicine Humans Polymerase chain reaction Hepatitis B virus biology Receiver operating characteristic Reverse Transcriptase Polymerase Chain Reaction Biochemistry (medical) Case-control study Alanine Transaminase General Medicine Virology MicroRNAs Logistic Models Alanine transaminase Case-Control Studies Cohort biology.protein Biomarker (medicine) Female Biomarkers |
| Zdroj: | Clinica chimica acta; international journal of clinical chemistry. 451 |
| ISSN: | 1873-3492 |
| Popis: | Background Circulating miRNAs, a family of miRNAs existing in plasma and serum, have a great potential to serve as novel biomarkers in body fluids for non-invasive diagnosis and prognosis of many diseases. Methods A multistage, case-control study was designed to establish a panel of serum miRNAs that could be surrogate markers for chronic hepatitis B with persistently normal alanine aminotransferase (ALT). A total of 295 CHB patients presenting persistently normal ALT levels with significant histological features (SPNALT group), 243 CHB patients presenting persistently normal ALT levels with no significant histological features (NSPNALT group), and 178 healthy controls (healthy group) were enrolled in the study. An initial screening of miRNAs was performed by Illumina sequencing using serum samples pooled from SPNALT patients and controls. Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) assay was performed to evaluate the expression of selected miRNAs. A logistic regression model was constructed using a training cohort (n = 380) and validated using a cohort (n = 258). The area under the receiver operating characteristic curve (AUC) was used to evaluate diagnostic accuracy. Results We identified 9 miRNAs (hsa-miR-885-5p, hsa-miR-122-5p, hsa-miR-10a-5p, hsa-miR-511-5p, hsa-miR-574-5p, hsa-miR-98-5p, hsa-miR-26a-5p, hsa-miR-192-5p, hsa-miR-30b-5p) and established 3 miRNA panels that provided high diagnostic accuracy for SPNALT. The AUC of miRNA panels for SPNALT vs. healthy was 0.882 (95% CI = 0.839 to 0.925), for SPNALT vs. NSPNALT was 0.894 (95% CI = 0.857 to 0.930), and for SPNALT vs. control was 0.860 (95% CI = 0.821 to 0.899). Conclusions We constructed serum miRNA panels with considerable clinical value in diagnosing PNALT. |
| Databáze: | OpenAIRE |
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