Summary
Background
The rs738409 GG variant in patatin‐like phospholipase 3 (PNPLA3) is associated with non‐alcoholic fatty liver disease (NAFLD) and disease severity. However, it remains unclear if ...it contributes to the development of NAFLD through affecting dietary pattern.
Aim
To examine the association among PNPLA3 gene polymorphism, dietary pattern, metabolic factors and NAFLD.
Methods
Liver fat and fibrosis were assessed by proton‐magnetic resonance spectroscopy and transient elastography in 920 subjects from a population screening project (251 had NAFLD). Dietary nutrient intake was recorded using a locally validated food‐frequency questionnaire.
Results
The prevalence of GG genotype in NAFLD subjects was 20.7%, compared to 10.6% in controls (P < 0.001). Macronutrient intake was similar among subjects with different PNPLA3 genotypes. The presence of G allele was a predictor of NAFLD independent of nutrient intake and other metabolic factors (adjusted odds ratio to CC: CG, 2.00; GG, 2.68). In subjects without metabolic syndrome, G allele was even more closely correlated with NAFLD diagnosis (adjusted odds ratio to CC: CG, 2.22; GG, 3.39). The prevalence of NAFLD was only 12% in subjects with CC genotype and no metabolic syndrome, and increased to 34% in those with GG genotype and no metabolic syndrome. While NAFLD subjects had significantly lower fibre intake, there was no significant interaction between PNPLA3 and dietary pattern.
Conclusions
The G allele in PNPLA3 rs738409 increases the risk of NAFLD in the general population, especially in subjects without metabolic syndrome, independent of dietary pattern and metabolic factors.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
The aim of this study is to know the liver stiffness measurement (LSM) cutoffs for different stages of liver fibrosis in chronic hepatitis B (CHB) and to investigate the effect of alanine ...aminotransferase (ALT) on LSM. We prospectively studied consecutive CHB patients undergoing liver biopsy and transient elastography examinations. Diagnostic performance of LSM for different degrees of liver fibrosis was evaluated. One hundred and sixty‐one CHB patients with adequate liver biopsy sample size were studied. Area under receiver operating characteristics curves of LSM for no fibrosis (F0 vs F1–4), bridging fibrosis (F0–2 vs F3–4) and liver cirrhosis (F0–3 vs F4) was 0.80 (95% CI: 0.68–0.92), 0.87 (95% CI: 0.82–0.93) and 0.93 (95% CI: 0.89–0.97) respectively. For liver cirrhosis, these optimal cutoff values were 8.4 kPa (98% sensitivity), 9.0 kPa (maximum sum of sensitivity and specificity), 13.4 kPa (94% specificity) and 13.4 kPa (maximum diagnostic accuracy, 85%) respectively. Patients with the same fibrosis staging but higher ALT levels tend to have higher LSM, and the diagnostic performance for low stage fibrosis was most seriously affected when ALT was elevated. Different LSM cutoff values and algorithms were derived for normal and elevated ALT levels. Based on these algorithms, liver biopsy can be avoided in 62% and 58% of patients with normal and elevated ALT respectively. In conclusion, transient elastography is a reasonable noninvasive tool to substitute liver biopsy among the lowest and highest risk patients for the assessment of liver fibrosis.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Summary
Background
Patients with nonalcoholic steatohepatitis (NASH) have gut dysbiosis and intestinal bacterial overgrowth.
Aim
To test the hypothesis that endotoxemia is associated with the ...histological severity of nonalcoholic fatty liver disease (NAFLD) and determine factors associated with endotoxemia.
Methods
The endotoxemia markers lipopolysaccharide‐binding protein (LBP) and endotoxin levels were measured in 237 NAFLD patients 1 day before liver biopsy. Biomarkers of liver injury and transient elastography were performed as additional markers of disease severity.
Results
A total of 114/237 (48%) patients had NASH and 80/237 (34%) had F2‐4 fibrosis. LBP was correlated with lobular inflammation (P=.001), while both LBP (P=.0004) and endotoxin levels (P=0.008) were correlated with fibrosis. LBP was also correlated with cytokeratin‐18 fragments (P=.002) and aspartate aminotransferase‐to‐alanine aminotransferase ratio (P=.006), and both LBP (P=.019) and endotoxin (P=.006) were correlated with liver stiffness measurement by transient elastography. LBP was increased in patients with NASH (15.3±4.6 vs 13.8±3.3 μg/mL; P=.005) and F2‐4 fibrosis (15.4±4.4 vs 14.0±3.7 μg/mL; P=.008). Interestingly, patients harbouring the TM6SF2 rs58542926 T allele that predispose to NAFLD/NASH had higher LBP level. By multivariate analysis, gender, higher body mass index and glycated haemoglobin, and TM6SF2 variants were independent factors associated with increased LBP level.
Conclusions
Endotoxemia is positively associated with NASH and significant fibrosis. The association between TM6SF2 and endotoxemia warrants further investigations. The findings may shed light on the pathogenesis of NASH and inform a novel treatment target.
Linked ContentThis article is linked to Valenti and Romeo paper. To view this article visit https://doi.org/10.1111/apt.14154.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Metabolic syndrome is associated with non-alcoholic steatohepatitis and cryptogenic cirrhosis. Whether metabolic syndrome affects the severity of chronic hepatitis B (CHB) is unclear.
We aimed to ...study the relationship between metabolic syndrome and the risk of liver cirrhosis in patients with CHB.
We prospectively recruited patients with CHB from primary care and hospital clinics for liver stiffness measurement (LSM) with transient elastography to diagnose early cirrhosis. Probable cirrhosis was defined as LSM >or=13.4 kPa. We analysed a subgroup of patients with paired LSM and liver biopsies to validate the accuracy of LSM.
1466 patients had reliable LSM and 134 (9%) patients had adequate liver biopsy. 188 (13%) patients had metabolic syndrome. Histological liver cirrhosis was present in 32/134 (24%) patients. Histological liver cirrhosis was more common among patients who had metabolic syndrome (38%) versus those who did not (11%, p<0.001). The specificity of probable cirrhosis on LSM for histological cirrhosis was 94%. Probable cirrhosis was present in 187 (13%) patients. Metabolic syndrome was more prevalent in patients with probable cirrhosis (24%) than those without cirrhosis (11%, p<0.001). After adjustment for anthropometric, biochemical and virological factors, metabolic syndrome remained an independent factor associated with probable cirrhosis (odds ratio 1.7, 95% confidence interval (CI) 1.1 to 2.6). The odds ratios of probable cirrhosis were 1.4 (95% CI, 0.9 to 2.3), 2.6 (95% CI, 1.7 to 4.3), 4.1 (95% CI, 2.4 to 7.1), 4.0 (95% CI, 1.9 to 8.4) and 5.5 (95% CI, 1.8 to 16.7) in patients with one, two, three, four and five components of metabolic syndrome, respectively.
Metabolic syndrome is an independent risk factor of liver cirrhosis in CHB.
Worldwide, some 240 million people have chronic hepatitis B virus (HBV), with the highest rates of infection in Africa and Asia. Our understanding of the natural history of HBV infection and the ...potential for therapy of the resultant disease is continuously improving. New data have become available since the previous APASL guidelines for management of HBV infection were published in 2012. The objective of this manuscript is to update the recommendations for the optimal management of chronic HBV infection. The 2015 guidelines were developed by a panel of Asian experts chosen by the APASL. The clinical practice guidelines are based on evidence from existing publications or, if evidence was unavailable, on the experts’ personal experience and opinion after deliberations. Manuscripts and abstracts of important meetings published through January 2015 have been evaluated. This guideline covers the full spectrum of care of patients infected with hepatitis B, including new terminology, natural history, screening, vaccination, counseling, diagnosis, assessment of the stage of liver disease, the indications, timing, choice and duration of single or combination of antiviral drugs, screening for HCC, management in special situations like childhood, pregnancy, coinfections, renal impairment and pre- and post-liver transplant, and policy guidelines. However, areas of uncertainty still exist, and clinicians, patients, and public health authorities must therefore continue to make choices on the basis of the evolving evidence. The final clinical practice guidelines and recommendations are presented here, along with the relevant background information.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Summary
Background
The accuracy of Enhanced Liver Fibrosis (ELF; ADVIA Centaur, Siemens Healthcare Diagnostics, Tarrytown, NY, USA) in assessing liver fibrosis in chronic hepatitis B (CHB) is to be ...determined.
Aim
To derive and validate a combined ELF‐liver stiffness measurement (LSM) algorithm to predict advanced fibrosis in CHB patients.
Methods
Using the data of a previously reported cohort of 238 CHB patients, an ALT‐based LSM algorithm for liver fibrosis was used as a training cohort to evaluate the performance of ELF against liver histology. The best combined ELF‐LSM algorithm was then validated in new cohort of 85 CHB patients not previously reported.
Results
In the training cohort, LSM has better performance of diagnosing advanced (≥F3) fibrosis (area under the receiver operating characteristics curve AUROC 0.83, 95% confidence interval CI 0.76–0.91 than ELF (AUROC 0.69, 95% CI 0.63–0.75). The optimal cut‐off values of ELF were 8.4 to exclude advanced fibrosis, and 10.8 to confirm advanced fibrosis. In the training cohort, an ELF ≤ 8.4 had a sensitivity of 95% to exclude advanced fibrosis; an ELF > 10.8 had a specificity of 92% to confirm advanced fibrosis. In the combined algorithm, low ELF or low LSM could be used to exclude advanced fibrosis as both of them had high sensitivity (≥90%). To confirm advanced fibrosis, agreement between high ELF and high LSM could improve the negative predictive value specificity (from 65% and 74% to 80%).
Conclusions
An Enhanced Liver Fibrosis ‐ liver stiffness measurement algorithm could improve the accuracy of prediction of either ELF or LSM alone. Liver biopsy could be correctly avoided in approximately 60% of patients.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Summary
Background
The diagnosis of non‐alcoholic fatty liver disease (NAFLD), non‐alcoholic steatohepatitis (NASH) and fibrosis relies on liver biopsy. Non‐invasive assessments are urgently needed.
...Aim
To evaluate cell apoptotic marker cytokeratin‐18 M30 and total cell death markers cytokeratin‐18 M65/M65ED for the assessment and monitoring of NAFLD.
Methods
A cohort of 147 patients with biopsy‐proven NAFLD and 73 controls were enroled, including 51 patients who received paired liver biopsies 36 months apart. Biomarkers were determined by enzyme‐linked immunosorbent assay.
Results
M30, M65 and M65ED increased in a stepwise fashion in control subjects, patients with non‐NASH, NAFLD and NASH (all P < 0.001). All biomarkers had similarly high accuracy over 0.9 in predicting NAFLD and moderate accuracy around 0.7 in predicting NASH. Among patients with paired liver biopsies, changes in M30, M65 and M65ED positively correlated with disease progression (rho = 0.42, 0.32 and 0.39; P = 0.002, 0.023 and 0.005 respectively), and only changes in M65 and M65ED correlated with fibrosis progression (rho = 0.29, 0.34; P = 0.038, 0.015 respectively). Both M30 and M65 had area under receiver‐operating characteristics curve above 0.8 in predicting disease progression. At cut‐off of 236 U/L, changes of M65ED had 88% NPV and 59% PPV to exclude and predict fibrosis progression.
Conclusions
Cytokeratin‐18 M30 and M65/M65ED have moderate accuracy in detecting non‐alcoholic steatohepatitis. Changes in the biomarkers also correlate with histological progression. However, development of new biomarkers is still required to improve the diagnostic accuracy.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Patients with acute upper gastrointestinal bleeding were assigned to receive endoscopy within 6 hours or between 6 and 24 hours after gastroenterologic consultation. Mortality at 30 days was 8.9% in ...the former group and 6.6% in the latter group; earlier endoscopy did not lower mortality.
Aliment Pharmacol Ther 2010; 32: 1323–1331
Summary
Background On‐treatment predictors of response to peginterferon can guide individualization of therapy in chronic hepatitis B virus infection.
Aim ...To investigate the use of serum hepatitis B surface antigen quantification to predict sustained response.
Methods Hepatitis B e antigen‐positive chronic hepatitis B patients who received peginterferon for 32–48 weeks with or without lamivudine combination were studied. Sustained response was defined as hepatitis B e antigen seroconversion and chronic hepatitis B virus DNA <10 000 copies/mL until 12 months post‐treatment.
Results Twenty‐one of 92 (23%) patients achieved sustained response. At month 6, the area under receiver operating characteristics curve for hepatitis B surface antigen to predict sustained response was 0.77 (95% confidence interval 0.65–0.89, P < 0.001). An hepatitis B surface antigen cutoff at 300 IU/mL at month 6 could give the maximum combination of sensitivity (62%) and specificity (89%) to predict sustained response. Nine of 21 (43%) sustained responders vs. 9 of 71 (13%) nonsustained responders had >1 log hepatitis B surface antigen reduction at month 6 (P < 0.001). Combined hepatitis B surface antigen ≤300 IU/mL and >1 log reduction at month 6 had sensitivity, specificity, positive and negative predictive values of 43%, 96%, 75% and 85% to predict sustained response, respectively.
Conclusion On‐treatment serum hepatitis B surface antigen can predict response to peginterferon therapy in chronic hepatitis B.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Summary
Background
The accuracy of available non‐invasive tools for staging severe fibrosis in patients with nonalcoholic fatty liver disease (NAFLD) is still limited.
Aim
To assess the diagnostic ...performance of paired or serial combination of non‐invasive tools in NAFLD patients.
Methods
We analysed data from 741 patients with a histological diagnosis of NAFLD. The GGT/PLT, APRI, AST/ALT, BARD, FIB‐4, and NAFLD Fibrosis Score (NFS) scores were calculated according to published algorithms. Liver stiffness measurement (LSM) was performed by FibroScan.
Results
LSM, NFS and FIB‐4 were the best non‐invasive tools for staging F3‐F4 fibrosis (AUC 0.863, 0.774, and 0.792, respectively), with LSM having the highest sensitivity (90%), and the highest NPV (94%), and NFS and FIB‐4 the highest specificity (97% and 93%, respectively), and the highest PPV (73% and 79%, respectively). The paired combination of LSM or NFS with FIB‐4 strongly reduced the likelihood of wrongly classified patients (ranging from 2.7% to 2.6%), at the price of a high uncertainty area (ranging from 54.1% to 58.2%), and of a low overall accuracy (ranging from 43% to 39.1%). The serial combination with the second test used in patients in the grey area of the first test and in those with high LSM values (>9.6 KPa) or low NFS or FIB‐4 values (<−1.455 and <1.30, respectively) overall increased the diagnostic performance generating an accuracy ranging from 69.8% to 70.1%, an uncertainty area ranging from 18.9% to 20.4% and a rate of wrong classification ranging from 9.2% to 11.3%.
Conclusion
The serial combination of LSM with FIB‐4/NFS has a good diagnostic accuracy for the non‐invasive diagnosis of severe fibrosis in NAFLD.
Linked ContentThis article is linked to Khan paper. To view this article visit https://doi.org/10.1111/apt.14267.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
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