Gene Expression Signature Traces Nonalcoholic Fatty Liver Disease Progression
By LabMedica International staff writers Posted on 16 Dec 2020 |

Image: nCounter NanoString: Gene expression profiling platform (Photo courtesy of Institute Pasteur).
Nonalcoholic fatty liver disease (NAFLD) is a common condition marked by the accumulation of triglycerides and other lipids in the liver and is associated with metabolic syndrome, type 2 diabetes, hypertension, and dyslipidemia.
NAFLD can be divided into two subtypes: nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH). NAFL can develop into NASH and advanced fibrosis. An expression signature of more than two dozen genes can trace the progression of nonalcoholic fatty liver to nonalcoholic steatohepatitis.
An international team of scientists led by those at Newcastle University (Newcastle upon Tyne, UK) performed RNA-sequencing on liver biopsies from a discovery cohort of 206 patients, 53 with NAFL and 153 with NASH. Unsupervised clustering separated the cohort into two groups, one of which was marked by more advanced fibrosis and included more patients diagnosed with NASH. Nearly 1,300 genes were differentially expressed between the two clusters. They additionally identified more than 2,600 differentially expressed genes between their discovery cohort and a set of healthy obese controls. They also uncovered genes that were differentially expressed between the various stages of NASH progression.
The team translating their findings to the protein level using SomaScan analysis (SomaLogic, Inc, Boulder. CO, USA) and in more than 300 NAFLD serum samples confirmed that circulating concentrations of proteins Aldo-Keto Reductase Family 1 Member B10 (AKR1B10) and Growth/differentiation factor 15 (GDF15) were strongly associated with disease activity and fibrosis stage. The scientists homed in on a set of 25 genes that were associated with progression from NAFL to NASH and to more severe forms of NASH. Using NanoString Technologies’ gene expression platform (Seattle WA, USA), they replicated 21 of the 25 genes in the signature as significantly differentially expressed when comparing different stages of the liver disease in a cohort of 175 patients. This set of genes included several involved in inflammation, retinol metabolism, and Wnt signaling, and they found that many could be induced by endoplasmic reticulum stress.
The team used in vitro functional studies and determined that endoplasmic reticulum stress up-regulated expression of AKR1B10, GDF15, and PDGFA, whereas GDF15 supplementation tempered the inflammatory response in macrophages upon lipid loading and lipopolysaccharide stimulation. They used immunohistochemistry and confirmed that certain markers like AKR1B10, GDF15, and STMN2 were expressed by particular liver cells. AKR1B10, for instance, was more likely to be found in ballooned hepatocytes, and the number of AKR1B10-positive hepatocytes increased with disease stage.
The authors concluded that their transcriptomic data, from a large histologically characterized NAFLD cohort, provide insights into disease pathophysiology, identifying both stable and dynamic differences in gene expression that occur during NAFLD progression. The study was published on December 2, 2020 in the journal Science Translational Medicine.
Related Links:
Newcastle University
SomaLogic, Inc
NanoString Technologies
NAFLD can be divided into two subtypes: nonalcoholic fatty liver (NAFL) and nonalcoholic steatohepatitis (NASH). NAFL can develop into NASH and advanced fibrosis. An expression signature of more than two dozen genes can trace the progression of nonalcoholic fatty liver to nonalcoholic steatohepatitis.
An international team of scientists led by those at Newcastle University (Newcastle upon Tyne, UK) performed RNA-sequencing on liver biopsies from a discovery cohort of 206 patients, 53 with NAFL and 153 with NASH. Unsupervised clustering separated the cohort into two groups, one of which was marked by more advanced fibrosis and included more patients diagnosed with NASH. Nearly 1,300 genes were differentially expressed between the two clusters. They additionally identified more than 2,600 differentially expressed genes between their discovery cohort and a set of healthy obese controls. They also uncovered genes that were differentially expressed between the various stages of NASH progression.
The team translating their findings to the protein level using SomaScan analysis (SomaLogic, Inc, Boulder. CO, USA) and in more than 300 NAFLD serum samples confirmed that circulating concentrations of proteins Aldo-Keto Reductase Family 1 Member B10 (AKR1B10) and Growth/differentiation factor 15 (GDF15) were strongly associated with disease activity and fibrosis stage. The scientists homed in on a set of 25 genes that were associated with progression from NAFL to NASH and to more severe forms of NASH. Using NanoString Technologies’ gene expression platform (Seattle WA, USA), they replicated 21 of the 25 genes in the signature as significantly differentially expressed when comparing different stages of the liver disease in a cohort of 175 patients. This set of genes included several involved in inflammation, retinol metabolism, and Wnt signaling, and they found that many could be induced by endoplasmic reticulum stress.
The team used in vitro functional studies and determined that endoplasmic reticulum stress up-regulated expression of AKR1B10, GDF15, and PDGFA, whereas GDF15 supplementation tempered the inflammatory response in macrophages upon lipid loading and lipopolysaccharide stimulation. They used immunohistochemistry and confirmed that certain markers like AKR1B10, GDF15, and STMN2 were expressed by particular liver cells. AKR1B10, for instance, was more likely to be found in ballooned hepatocytes, and the number of AKR1B10-positive hepatocytes increased with disease stage.
The authors concluded that their transcriptomic data, from a large histologically characterized NAFLD cohort, provide insights into disease pathophysiology, identifying both stable and dynamic differences in gene expression that occur during NAFLD progression. The study was published on December 2, 2020 in the journal Science Translational Medicine.
Related Links:
Newcastle University
SomaLogic, Inc
NanoString Technologies
Latest Immunology News
- Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
- Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
- Post-Treatment Blood Test Could Inform Future Cancer Therapy Decisions
- Cerebrospinal Fluid Test Predicts Dangerous Side Effect of Cancer Treatment
- New Test Measures Preterm Infant Immunity Using Only Two Drops of Blood
- Simple Blood Test Could Help Choose Better Treatments for Patients with Recurrent Endometrial Cancer
- Novel Analytical Method Tracks Progression of Autoimmune Diseases
- 3D Bioprinted Gastric Cancer Model Uses Patient-Derived Tissue Fragments to Predict Drug Response
- Blood Test for Fungal Infections Could End Invasive Tissue Biopsies
- Cutting-Edge Microscopy Technology Enables Tailored Rheumatology Therapies
- New Discovery in Blood Immune Cells Paves Way for Parkinson's Disease Diagnostic Test
- AI Tool Uses Routine Blood Tests to Predict Immunotherapy Response for Various Cancers
- Blood Test Can Predict How Long Vaccine Immunity Will Last
- Microfluidic Chip-Based Device to Measure Viral Immunity
Channels
Clinical Chemistry
view channel
First Comprehensive Syphilis Test to Definitively Diagnose Active Infection In 10 Minutes
In the United States, syphilis cases have surged by nearly 80% from 2018 to 2023, with 209,253 cases recorded in the most recent year of data. Syphilis, which can be transmitted sexually or from mother... Read more
Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse
Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
New Test Diagnoses Bacterial Meningitis Quickly and Accurately
Bacterial meningitis is a potentially fatal condition, with one in six patients dying and half of the survivors experiencing lasting symptoms. Therefore, rapid diagnosis and treatment are critical.... Read more
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
AI-Based Liquid Biopsy Approach to Revolutionize Brain Cancer Detection
Detecting brain cancers remains extremely challenging, with many patients only receiving a diagnosis at later stages after symptoms like headaches, seizures, or cognitive issues appear. Late-stage diagnoses... Read more
AI-Driven Analysis of Digital Pathology Images to Improve Pediatric Sarcoma Subtyping
Pediatric sarcomas are rare and diverse tumors that can develop in various types of soft tissue, such as muscle, tendons, fat, blood or lymphatic vessels, nerves, or the tissue surrounding joints.... Read more
AI-Based Model Predicts Kidney Cancer Therapy Response
Each year, nearly 435,000 individuals are diagnosed with clear cell renal cell carcinoma (ccRCC), making it the most prevalent subtype of kidney cancer. When the disease spreads, anti-angiogenic therapies... Read more
Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation
Ubiquitination and deubiquitination are two important physiological processes in the ubiquitin-proteasome system, responsible for protein degradation in cells. Deubiquitinating (DUB) enzymes contain around... Read moreTechnology
view channel
Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses
Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more