Murine CD103 + dendritic cells protect against steatosis progression towards steatohepatitis

Heier, Eva-Carina; Meier, Anna B.; Julich-Haertel, Henrike; Djudjaj, Sonja; Rau, Monika; Tschernig, Thomas; Geier, Andreas; Lammert, Frank; Lukacs‐Kornek, Veronika

doi:10.1016/j.jhep.2017.01.008

Cited by 71 publications

(59 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…68 DC expansion induced by Flt3L or adoptive transfer of purified CD11c þ DCs accelerates the regression of liver fibrosis in CCl 4 -treated mice, consistent with the finding that conditional depletion of a subpopulation of HDCs using the CD11c-DTR transgenic mouse model results in delayed fibrosis regression. 68 In a recent study, Heier et al 69 reported that in mice, CD103 þ DCs protect against steatosis progression toward steatohepatitis and suggested that, as 'guardians of liver integrity,' they may play a key role in regulation of the inflammatory process during the development of steatohepatitis.…”

Section: Hdc-mediated Regression Of Hepatic Fibrosismentioning

confidence: 99%

Hepatic Dendritic Cells, the Tolerogenic Liver Environment, and Liver Disease

et al. 2018

View full text Add to dashboard Cite

The unique liver immune microenvironment favors resistance to inflammation that promotes normal physiological function. At the same time, it endows the liver with tolerogenic properties that may promote pathological processes. Hepatic dendritic cells (HDCs) initiate and orchestrate immune responses depending on signals they receive from the local environment and are thought to contribute to liver tolerance. Thus, HDCs facilitate impaired T cell responses that are observed in persistent hepatitis C virus (HCV) infection, hepatocellular carcinoma progression, and liver allograft transplantation. HDCs also participate in anti-inflammatory responses in liver ischemia-reperfusion injury (IRI). Moreover, they promote the regression of fibrosis from various fibrogenic liver injuries. These findings suggest that HDCs regulate intrahepatic immune responses, allowing the liver to maintain homeostasis and integrity even under pathological conditions. This review focuses on the tolerogenic properties of HDCs based on recent research and in relation to liver disease pathogenesis and its therapy.

show abstract

Section: Hdc-mediated Regression Of Hepatic Fibrosismentioning

confidence: 99%

Hepatic Dendritic Cells, the Tolerogenic Liver Environment, and Liver Disease

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The metabolic syndrome (MetS) is defined as the cluster of metabolic abnormalities (e.g., obesity, hypertension, glucose intolerance) that constitute high risk factors for the developments of cardiovascular diseases and type 2 diabetes mellitus [13]. Over the past decade, MetS has been rapidly increasing worldwide affecting both adults and children and thus pauses a major clinical and public health challenge [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Automatic Diagnosis Metabolic Syndrome via a $$k-$$ Nearest Neighbour Classifier

Behadada

Abi-Ayad

Kontonatsios

et al. 2017

Green, Pervasive, and Cloud Computing

View full text Add to dashboard Cite

In this paper, we investigate the automatic diagnosis of patients with metabolic syndrome, i.e., a common metabolic disorder and a risk factor for the development of cardiovascular diseases and type 2 diabetes. Specifically, we employ the K−Nearest neighbour (KNN) classifier, a supervised machine learning algorithm to learn to discriminate between patients with metabolic syndrome and healthy individuals. To aid accurate identification of the metabolic syndrome we extract different physiological parameters (age, BMI, level of glucose in the blood etc) that are subsequently used as features in the KNN classifier. For evaluation, we apply the proposed k-NN algorithm against two baseline machine learning classifiers, namely Nave Bayes and an artificial Neural Network, on a manually curated dataset of 64 individuals. The results that we obtained demonstrate that the K−NN classifier improves upon the performance of the baseline methods and it can thus facilitate robust and automatic diagnosis of patients with metabolic syndrome. Finally, we perform feature analysis to determine potential significant correlations between different physiological parameters and the prevalence of the metabolic syndrome.

show abstract

“…In general, hepatic macrophages, Kupffer cells, and NK cells are considered as aggravating factors while dendritic cells play a protective role in NASH, although there are some controversies. 210,[229][230][231][232][233][234][235] Certainly, these innate immune cells are equipped in uPA-SCID HLCM and thus, might not hamper the investigator's enthusiasm (►Table 2). However, the potential contribution of adaptive immunity cannot be overlooked in NAFLD, especially for NASH.…”

Section: Nonalcoholic Fatty Liver Diseasesmentioning

confidence: 99%

Art of Making Artificial Liver: Depicting Human Liver Biology and Diseases in Mice

et al. 2020

View full text Add to dashboard Cite

Advancement in both bioengineering and cell biology of the liver led to the establishment of the first-generation humanized liver chimeric mouse (HLCM) model in 2001. The HLCM system was initially developed to satisfy the necessity for a convenient and physiologically representative small animal model for studies of hepatitis B virus and hepatitis C virus infection. Over the last two decades, the HLCM system has substantially evolved in quality, production capacity, and utility, thereby growing its versatility beyond the study of viral hepatitis. Hence, it has been increasingly employed for a variety of applications including, but not limited to, the investigation of drug metabolism and pharmacokinetics and stem cell biology. To date, more than a dozen distinctive HLCM systems have been established, and each model system has similarities as well as unique characteristics, which are often perplexing for end-users. Thus, this review aims to summarize the history, evolution, advantages, and pitfalls of each model system with the goal of providing comprehensive information that is necessary for researchers to implement the ideal HLCM system for their purposes. Furthermore, this review article summarizes the contribution of HLCM and its derivatives to our mechanistic understanding of various human liver diseases, its potential for novel applications, and its current limitations.

show abstract

Murine CD103 + dendritic cells protect against steatosis progression towards steatohepatitis

Cited by 71 publications

References 51 publications

Hepatic Dendritic Cells, the Tolerogenic Liver Environment, and Liver Disease

Hepatic Dendritic Cells, the Tolerogenic Liver Environment, and Liver Disease

Automatic Diagnosis Metabolic Syndrome via a $$k-$$ Nearest Neighbour Classifier

Art of Making Artificial Liver: Depicting Human Liver Biology and Diseases in Mice

Contact Info

Product

Resources

About