1.Establishment of a risk prediction model for bacterial infections in decompensated patients with hepatitis B cirrhosis
Yuhan GONG ; Haijun HUANG ; Suxia BAO
Chinese Journal of Clinical Infectious Diseases 2020;13(5):335-340
Objective:To explore the risk factors of bacterial infections in patients with decompensated hepatitis B cirrhosis and to construct a risk prediction model.Methods:The clinical data of 198 patients with decompensated hepatitis B cirrhosis admitted in Zhejiang Provincial People’s Hospital from January 2014 to April 2020 were retrospectively analyzed. There were 86 patients with bacterial infection (infection group) and 112 patients without bacterial infections (non-infection group). The risk factors of bacterial infections were analyzed by multivariate Logistic regression. R language was used to establish a nomogram model to predict the risk of bacterial infection in patients with decompensated hepatitis B cirrhosis. Receiver operating characteristic (ROC) curve was used to explore the prediction efficiency of the nomogram model for bacterial infection.Results:Multivariate logistic regression analysis showed that previous smoking history, prothrombin time, neutrophil count and hypersensitive C protein were independent risk factors for bacterial infection in patients with decompensated hepatitis B cirrhosis ( P<0.05 or <0.01), while regular antiviral treatment and high-density lipoprotein were protective factors ( P<0.05 or <0.01). ROC curve showed that the area under the curve (AUC) of risk prediction model for bacterial infections was 0.872 (95% CI 0.820-0.924, P<0.01), and AUC of MELD score for predicting bacterial infections was 0.670 (95% CI 0.599-0.735, P<0.01); the risk prediction model was superior to MELD score in prediction ( Z=4.89, P<0.01). Conclusions:The established risk prediction model in this study can more accurately predict the occurrence of bacterial infections in patients with decompensated hepatitis B cirrhosis.
2.Research progress in association between interleukin-23 and liver diseases
Suxia BAO ; Jianming ZHENG ; Guangfeng SHI
Journal of Clinical Hepatology 2016;32(2):393-396
Interleukin 23 (IL-23) is a recently discovered cytokine, and growing evidence suggests that IL-23 plays an important role in the development and progression of autoimmune diseases and inflammatory diseases. In recent years, certain research advances in association between IL-23 and liver diseases have been achieved at home and abroad. General features and biological characteristics of IL-23 are described, and its role in the development and progression of diseases such as hepatitis B, hepatitis C, and hepatocellular carcinoma is reviewed here, so that clinicians will have a deeper understanding of the effect of IL-23 in liver diseases and provide optimized therapies for patients with liver diseases.
3.Interleukin-23 levels in serum and dendritic cells and its relationship with prognosis of acute-on-chronic liver failure patients with chronic hepatitis B
Jianming ZHENG ; Suxia BAO ; Ning LI ; Chong HUANG ; Mengqi ZHU ; Mingquan CHEN ; Qi CHENG ; Kangkang YU ; Qingxia LING ; Guangfeng SHI
Chinese Journal of Infectious Diseases 2017;35(2):74-78
Objective To study interleukin-23 (IL-23) levels in serum and dendritic cells of acute-on-chronic liver failure (ACLF) patients with chronic hepatitis B (CHB) and to explore its relationship with the prognosis.Methods Peripheral blood mononuclear cells and serum were collected from 40 ACLF patients with CHB (including survival group 27 cases and non-survival group 13 cases) and 26 healthy controls.Monocytes were induced to immature dendritic cell in vitro and TNF-α was added to induce dendritic cell maturation.IL-23 mRNA of dendritic cells was detected by real time polymerase chain reaction (PCR), and serum IL-23 level was measured by enzyme-linked immuno sorbent assay (ELISA).Differences among the parameters with normal distribution were compared using t test, those with non-normal distribution were compared using non-parametric Mann-Whitney U-test, and the relationship between two variables was assessed by Spearman′s rank correlation.Results International normalized rate (INR) and model for end-stage liver disense (MELD) scores in non-survival group of ACLF were higher than those in survival group (INR: 2.32 vs 1.64, U=69.00, P=0.002 2;MELD:36 vs 30, U=64.50, P=0.001 4).However, there were no significant differences between two groups at gender, age, alanin aminotransferase (ALT), aspartate aminotrans ferase (AST), bilirubin, creatinine, hepatitis B virus (HBV) DNA, hepatitis B surface antigen (HBsAg), hepatitis B e antigen (HBeAg) and serum IL-23.IL-23 mRNA level in dendritic cells at baseline in non-survival group of ACLF was significantly higher than that in survival group (76 vs 43, U=71.50, P=0.002 8).After treatment, serum IL-23 was significantly declined in survival group ([160±75] ng/L vs [91±49] ng/L, t=4.012, P=0.000 2), but not in non-survival group.Significant positive correlation was observed between IL-23 mRNA level in dendritic cells and MELD score at baseline (r=0.7198,P<0.01).Conclusions Persistent high serum IL-23 level suggests poor prognosis in ACLF patients with CHB.IL-23 mRNA expression in dendritic cells has good consistency with MELD score and the patients with high IL-23 mRNA expression has poor outcome.
4.Serum MicroRNA Levels as a Noninvasive Diagnostic Biomarker for the Early Diagnosis of Hepatitis B Virus-Related Liver Fibrosis.
Suxia BAO ; Jianming ZHENG ; Ning LI ; Chong HUANG ; Mingquan CHEN ; Qi CHENG ; Kangkang YU ; Shengshen CHEN ; Mengqi ZHU ; Guangfeng SHI
Gut and Liver 2017;11(6):860-869
BACKGROUND/AIMS: To investigate the role of selected serum microRNA (miRNA) levels as potential noninvasive biomarkers for differentiating S0–S2 (early fibrosis) from S3–S4 (late fibrosis) in patients with a chronic hepatitis B virus (HBV) infection. METHODS: One hundred twenty-three treatment-naive patients with a chronic HBV infection who underwent a liver biopsy were enrolled in this study. The levels of selected miRNAs were measured using a real-time quantitative polymerase chain reaction assay. A logistic regression analysis was performed to assess factors associated with fibrosis progression. Receiver operating characteristic (ROC) curve and discriminant analyses validated these the ability of these predicted variables to discriminate S0–S2 from S3–S4. RESULTS: Serum miR-29, miR-143, miR-223, miR-21, and miR-374 levels were significantly downregulated as fibrosis progressed from S0–S2 to S3–S4 (p < 0.05), but not miR-16. The multivariate logistic regression analysis identified a panel of three miRNAs and platelets that were associated with a high diagnostic accuracy in discriminating S0–S2 from S3–S4, with an area under the curve of 0.936. CONCLUSIONS: The levels of the studied miRNAs, with the exception of miR-16, varied with fibrosis progression. A panel was identified that was capable of discriminating S0–S2 from S3–S4, indicating that serum miRNA levels could serve as a potential noninvasive biomarker of fibrosis progression.
Biomarkers
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Biopsy
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Early Diagnosis*
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Fibrosis
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Hepatitis B virus
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Hepatitis B*
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Hepatitis B, Chronic
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Hepatitis*
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Humans
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Liver Cirrhosis*
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Liver*
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Logistic Models
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MicroRNAs*
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Polymerase Chain Reaction
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ROC Curve
5.Nephrotic syndrome associated with coenzyme Q10 deficiency due to coenzyme Q2 gene mutation: a case report
Daorina BAO ; Hongyu YANG ; Fang WANG ; Xujie ZHOU ; Xin ZHANG ; Suxia WANG ; Fude ZHOU
Chinese Journal of Nephrology 2023;39(2):138-141
The paper reports a case of coenzyme Q10 deficiency nephrotic syndrome associated with coenzyme Q2 gene mutation and reviews the literature on this topic. The patient presented with hematuria, proteinuria, and a diminution of vision as clinical manifestations. But the proteinuria was not relieved after sufficient doses of glucocorticoids for over 2 months. The patient′s birth history was unremarkable, and his parents were both healthy and not consanguineous. Whole exome sequencing revealed that the patient had a mutation of coenzyme Q2 gene at c.973A>G(p.T325A) and c.517C>T(p.R173C). Combined with renal biopsy pathology, the patient was diagnosed with hereditary nephropathy and started the supplements of coenzyme Q10 after stopping glucocorticoid treatments immediately. After 5 weeks of therapy, the patient′s 24-h urine protein quantification decreased from 6.01 g to 1.53 g.