scholarly journals Prevalence of clinically significant liver disease within the general population, as defined by non-invasive markers of liver fibrosis: a systematic review

2017 ◽  
Vol 2 (4) ◽  
pp. 288-297 ◽  
Author(s):  
Rebecca Harris ◽  
David J Harman ◽  
Timothy R Card ◽  
Guruprasad P Aithal ◽  
Indra Neil Guha
2020 ◽  
Vol 40 (6) ◽  
pp. 1303-1315 ◽  
Author(s):  
Ki‐Chul Sung ◽  
Michael P. Johnston ◽  
Mi Y. Lee ◽  
Christopher D. Byrne

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Brenda Nherera ◽  
Kudakwashe Mhandire ◽  
Tinashe K. Nyazika ◽  
Alfred Makura ◽  
Cuthbert Musarurwa ◽  
...  

Background: The prevalence of morbidity and mortality associated with liver disease among HIV-infected individuals on combination antiretroviral therapy (ART) is high. Early screening of liver disease is essential, as it provides an opportunity for successful treatment. Hence, there is a need for reliable, inexpensive and non-invasive early markers of hepatic damage.Objectives: Non-invasive algorithms are available for assessing the extent of liver fibrosis as markers of ongoing inflammatory damage. This study compared the use of the FibroTest, Fibrosis-4 (FIB-4) index, APRI test and AST:ALT ratio in assessing liver fibrosis in combination ART-experienced individuals.Methods: In a comparative cross-sectional study, 79 participants between the ages of 8 and 62 years were recruited. The performance of each fibrosis algorithm was determined using established cut-off scores for clinically significant liver fibrosis.Results: The prevalence of liver fibrosis as determined by the FibroTest, FIB-4 index, APRI test and AST: ALT ratio were 19.0%, 21.5%, 12.7% and 79.7%, respectively. For individual biomarkers, A-2M concentration (p < 0.001) and AST activity (p = 0.003) remained significantly elevated in participants with fibrosis than those without as defined by FibroTest and APRI test, respectively, after adjustments for multiple comparisons.Conclusion: Our data demonstrate a high prevalence of asymptomatic liver fibrosis among combination ART-experienced individuals in Zimbabwe, and this warrants adequate monitoring of liver fibrosis in individuals on ART. Discordance of fibrosis results among the algorithms and individual biomarkers and calls for further work in identifying optimal biomarkers for detection of asymptomatic fibrosis.Keywords: Liver fibrosis; Non-invasive methods; Biomarkers; Combination anti-retroviral therapy; Zimbabwe.


2021 ◽  
Author(s):  
Ola G Behairy ◽  
Soha A El‐Gendy ◽  
Dalia Y Ibrahim ◽  
Amira I Mansour ◽  
Ola S El‐Shimi

2018 ◽  
Vol 49 (3) ◽  
pp. 296-303 ◽  
Author(s):  
Kenichi Tanaka ◽  
Hirokazu Takahashi ◽  
Hideyuki Hyogo ◽  
Masafumi Ono ◽  
Noriko Oza ◽  
...  

Author(s):  
Naga Chalasani ◽  
Shusuke Toden ◽  
John J Sninsky ◽  
Richard P Rava ◽  
Jerome V Braun ◽  
...  

Hepatic fibrosis stage is the most important determinant of outcomes in patients with non-alcoholic fatty liver disease (NAFLD). There is an urgent need for non-invasive tests that can accurately stage fibrosis and determine efficacy of interventions. Here we describe a novel cf-mRNA-Sequencing approach that can accurately and reproducibly profile low levels of circulating mRNAs and evaluate the feasibility of developing a cf-mRNA-based NAFLD fibrosis classifier. Using separate discovery and validation cohorts with biopsy-confirmed NAFLD (n=176 and 59, respectively) and healthy subjects (n=23), we performed serum cf-mRNA RNA-Seq profiling. Differential expression analysis identified 2498 dysregulated genes between NAFLD and healthy subjects and 134 fibrosis-associated genes in NAFLD patients. Comparison between cf-mRNA and liver tissues transcripts revealed significant overlap of fibrosis associated genes and pathways indicating that the circulating cf-mRNA transcriptome reflects molecular changes in the livers of NAFLD patients. In particular, metabolic and immune pathways reflective of known underlying steatosis and inflammation were highly dysregulated in the cf-mRNA profile of patients with advanced fibrosis. Finally, we used an elastic net ordinal logistic model to develop a classifier that predicts clinically significant fibrosis (F2-4). In an independent cohort, the cf-mRNA classifier was able to identify 50% of patients with at least 90% probability of clinically significant fibrosis. We demonstrate a novel and robust cf-mRNA-based RNA-Seq platform for non-invasive identification of diverse hepatic molecular disruptions and for fibrosis staging with promising potential for clinical trials and clinical practice.


Gut ◽  
2020 ◽  
Vol 69 (7) ◽  
pp. 1343-1352 ◽  
Author(s):  
Rohit Loomba ◽  
Leon A Adams

Liver fibrosis should be assessed in all individuals with chronic liver disease as it predicts the risk of future liver-related morbidity and thus need for treatment, monitoring and surveillance. Non-invasive fibrosis tests (NITs) overcome many limitations of liver biopsy and are now routinely incorporated into specialist clinical practice. Simple serum-based tests (eg, Fibrosis Score 4, non-alcoholic fatty liver disease Fibrosis Score) consist of readily available biochemical surrogates and clinical risk factors for liver fibrosis (eg, age and sex). These have been extensively validated across a spectrum of chronic liver diseases, however, tend to be less accurate than more ‘complex’ serum tests, which incorporate direct measures of fibrogenesis or fibrolysis (eg, hyaluronic acid, N-terminal propeptide of type three collagen). Elastography methods quantify liver stiffness as a marker of fibrosis and are more accurate than simple serum NITs, however, suffer increasing rates of unreliability with increasing obesity. MR elastography appears more accurate than sonographic elastography and is not significantly impacted by obesity but is costly with limited availability. NITs are valuable for excluding advanced fibrosis or cirrhosis, however, are not sufficiently predictive when used in isolation. Combining serum and elastography techniques increases diagnostic accuracy and can be used as screening and confirmatory tests, respectively. Unfortunately, NITs have not yet been demonstrated to accurately reflect fibrosis change in response to treatment, limiting their role in disease monitoring. However, recent studies have demonstrated lipidomic, proteomic and gut microbiome profiles as well as microRNA signatures to be promising techniques for fibrosis assessment in the future.


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