August 18, 2023 | Laura I. Furlong
Key points
- Flupirtine, a non-opioid analgesic introduced in 1984, took a tumultuous journey due to concerns over liver toxicity, despite initial approval for pain management.
- The DISGENET plus data analysis platform proves crucial in unveiling the complex connections between drug-associated genes and liver conditions, potentially predicting adverse reactions.
- Genes influenced by flupirtine exhibit substantial links to liver diseases, with insights provided by DISGENET plus.
- By harnessing DISGENET plus, it might have been possible to anticipate toxicity concerns in early drug development and implement vigilant monitoring during clinical trials and post-approval phases, avoiding unforeseen medical consequences.
- Looking beyond flupirtine, the story highlights the essential role of data analysis platforms like DISGENET plus in anticipating adverse drug reactions and guiding safer drug development.
Flupirtine, an aminopyridine introduced in 1984 as a non-opioid analgesic for acute and chronic pain, embarked on a tumultuous journey within the medical landscape. Initially approved for broad pain management, its trajectory shifted in 2013 due to concerns over liver toxicity. The European Medicines Agency (EMA) limited its use to acute pain for a maximum of two weeks and exclusively for individuals unsuited to other painkillers. However, these precautions yielded only short-lived benefits. By March 2018, the EMA had recommended the withdrawal of marketing authorizations, indicative of persisting instances of severe liver injuries, including liver failure, despite imposed restrictions.
Could the emergence of liver toxicity concerns from flupirtine treatment have been anticipated through the DISGENET plus platform?
The drug’s primary mechanism of action involves indirect NDMA receptor antagonism by activating potassium channels. It represents the inaugural member of the ‘selective neuronal potassium channel openers’ pharmacological class. Specifically, it operates by selectively opening potassium channels, including those encoded by the KCNQ2 and KCNJ3 genes. However, as with many drugs, flupirtine’s scope of action extends to other proteins as well. By querying public resources like PubChem, DrugBank, Chembl, and PharmGKB for information on flupirtine-related targets and genes, we compiled a comprehensive list of 21 genes associated with flupirtine.
Analyzing the disease profiles of these flupirtine-associated genes might uncover indicators of liver toxicity. In this pursuit, DISGENET plus emerges as a valuable tool, streamlining access to pertinent information. Using DISGENET plus is equivalent to reading over 30M scientific publications and extracting the information relevant to diseases and phenotypes associated with the drug targets in a single click.
All the genes associated with flupirtine exhibit links to disease phenotypes within DISGENET plus, contributing to over 3,800 gene-disease associations.
Significantly, DISGENET plus findings corroborate substantial evidence linking flupirtine-affected genes to liver diseases and related traits. Most of the genes directly influenced by flupirtine (17 from 21 genes) correlate with liver conditions. Notably exempt from this association are genes encoding potassium channels such as KCNJ3, KCNJ5, KCNJ6, and KCNQ2. In contrast, genes like ADRA2A, BCL2, and VDR are implicated in liver-related conditions. The central figure here is the vitamin D receptor (VDR), which plays a pivotal role in processing the biological effects of vitamin D—a vital fat-soluble nutrient governing bone health, immune function, and mineral regulation. With a presence in various tissues, including the liver, the VDR has been extensively studied in relation to liver-related disorders like NAFLD, NASH, viral hepatitis, liver fibrosis, and liver cancer, among others. Figure 1 displays the gene-disease associations of the top-scoring associations of flupirtine genes and liver conditions. Table 1 provides detailed information on the liver conditions associated with flupirtine genes, along with the DISGENET plus score and the first and last year evidence of the disease-association have been published.

Noteworthy is the fact that some of these connections were established prior to the EMA’s 2013 restrictions (see Table 1) . By harnessing DISGENET plus, it might have been possible to pre-emptively shed light on potential adverse reactions to the drug. Incorporating this information could have facilitated early identification of safety signals during pre-clinical phases, or vigilant monitoring of liver events during clinical trials and post-approval phases via pharmacovigilance channels. This underscores the pivotal role of comprehensive data analysis platforms like DISGENET plus in shaping drug development and regulatory decisions, potentially averting unforeseen medical consequences.
Show Table 1: Liver Diseases associated with Flupirtine genes
Gene | Disease | DISGENET plus score | First year | Last year |
---|---|---|---|---|
ABCB11 | Cholestasis, Progressive Familial Intrahepatic, 2 | 0.9 | 1993 | 2022 |
ABCB11 | Intrahepatic Cholestasis | 0.8 | 2002 | 2021 |
ABCB11 | Progressive intrahepatic cholestasis (disorder) | 0.8 | 1998 | 2022 |
ABCB11 | Cholestasis, benign recurrent intrahepatic 2 | 0.7 | 1993 | 2021 |
ABCB11 | Cholestasis, progressive familial intrahepatic 3 | 0.6 | 2006 | 2010 |
HLA-DRB1 | Hepatitis B, Chronic | 0.4 | 2003 | 2021 |
ABCB11 | Familial intrahepatic cholestasis of pregnancy | 0.4 | 2013 | 2013 |
HIF1A | Liver and Intrahepatic Biliary Tract Carcinoma | 0.4 | 2009 | 2022 |
ABCB11 | Benign recurrent intrahepatic cholestasis | 0.4 | 2004 | 2022 |
ABCB11 | Cholestasis, progressive familial intrahepatic 1 | 0.4 | 1999 | 2022 |
ABCB11 | Hepatobiliary Disorder | 0.4 | 2007 | 2022 |
VDR | Hepatitis B | 0.4 | 2006 | 2022 |
ABCB11 | CHOLESTASIS, INTRAHEPATIC, OF PREGNANCY 3 | 0.4 | 2020 | 2020 |
HLA-DRB1 | Hepatitis B | 0.4 | 1998 | 2021 |
BCL2 | Liver and Intrahepatic Biliary Tract Carcinoma | 0.4 | 1999 | 2022 |
EHMT2 | Hepatitis B, Chronic | 0.3 | 2014 | 2019 |
HIF1A | Hepatocarcinogenesis | 0.3 | 2003 | 2021 |
BCL2 | Hepatocarcinogenesis | 0.3 | 2004 | 2022 |
VDR | Nonalcoholic Steatohepatitis | 0.3 | 2016 | 2022 |
VDR | Trichohepatoenteric Syndrome | 0.3 | 2000 | 2017 |
BCL2 | Hepatitis B | 0.3 | 1996 | 2021 |
HLA-DQB1 | Autoimmune Chronic Hepatitis | 0.3 | 2004 | 2018 |
VDR | Autoimmune hepatitis | 0.3 | 2002 | 2020 |
CYP2D6 | Autoimmune hepatitis type 2 | 0.3 | 2005 | 2015 |
HIF1A | Steatohepatitis | 0.3 | 2011 | 2021 |
CYP3A4 | Hepatitis A | 0.3 | 1996 | 2021 |
VDR | Hepatitis C, Chronic | 0.3 | 2012 | 2022 |
VDR | Autoimmune Chronic Hepatitis | 0.3 | 2002 | 2020 |
CYP2D6 | Autoimmune hepatitis | 0.3 | 1988 | 2010 |
BCL2 | Nonalcoholic Steatohepatitis | 0.3 | 2007 | 2022 |
VDR | Steatohepatitis | 0.3 | 2016 | 2022 |
CYP2D6 | Autoimmune Chronic Hepatitis | 0.3 | 1988 | 2010 |
EHMT2 | Liver and Intrahepatic Biliary Tract Carcinoma | 0.3 | 2017 | 2021 |
BCL2 | Steatohepatitis | 0.3 | 2004 | 2012 |
VDR | Hepatitis C | 0.3 | 2012 | 2020 |
HLA-DRB1 | Autoimmune hepatitis | 0.3 | 1992 | 2022 |
HLA-DRB1 | Autoimmune Chronic Hepatitis | 0.3 | 1992 | 2019 |
HLA-DQB1 | Autoimmune hepatitis | 0.2 | 2004 | 2006 |
HIF1A | Hepatobiliary Disorder | 0.2 | 2011 | 2022 |
EHMT2 | Hepatitis B | 0.2 | 2013 | 2016 |
BCL2 | Viral hepatitis | 0.2 | 1996 | 2007 |
HIF1A | Hepatic necrosis | 0.2 | 2021 | 2021 |
ABCB11 | Childhood Hepatocellular Carcinoma | 0.2 | 2014 | 2014 |
HLA-DQB1 | Hepatitis B, Chronic | 0.2 | 2006 | 2019 |
CYP2D6 | Hepatitis C, Chronic | 0.2 | 1998 | 2006 |
CYP2D6 | Hepatobiliary Disorder | 0.2 | 2003 | 2015 |
CYP3A4 | Liver and Intrahepatic Biliary Tract Carcinoma | 0.2 | 2008 | 2012 |
HLA-DRB1 | Autoimmune hepatitis type 1 | 0.2 | 2000 | 2019 |
BCL2 | Hepatitis C | 0.2 | 1999 | 2017 |
HLA-DRB1 | Hepatitis C, Chronic | 0.2 | 2000 | 2008 |
HLA-DRB1 | Hepatitis A | 0.2 | 1998 | 2009 |
BCL2 | Hepatitis A | 0.2 | 2003 | 2010 |
CYP2D6 | Hepatitis C | 0.2 | 1995 | 2018 |
HIF1A | Hepatitis B, Chronic | 0.2 | 2015 | 2017 |
HIF1A | Intrahepatic Cholangiocarcinoma | 0.2 | 2012 | 2022 |
HLA-DQB1 | Hepatitis B Virus-Related Hepatocellular Carcinoma | 0.2 | 2013 | 2016 |
VDR | Hepatobiliary Disorder | 0.2 | 2006 | 2019 |
HLA-DRB1 | Hepatobiliary Disorder | 0.2 | 1990 | 2016 |
BCL2 | Hepatobiliary Disorder | 0.2 | 2002 | 2012 |
BCL2 | Hepatitis B, Chronic | 0.2 | 2000 | 2002 |
KCNQ2 | Trichohepatoenteric Syndrome | 0.2 | 2012 | 2022 |
CYP3A4 | Hepatic impairment | 0.2 | 1999 | 2022 |
HLA-DQB1 | Hepatitis B | 0.2 | 2006 | 2021 |
VDR | Hepatitis, Chronic | 0.2 | 2014 | 2021 |
VDR | Hepatitis B, Chronic | 0.2 | 2003 | 2021 |
CYP3A4 | Steatohepatitis | 0.2 | 2007 | 2022 |
ABCB11 | Drug-induced intrahepatic cholestasis | 0.2 | 2006 | 2007 |
ABCB11 | Intrahepatic Cholangiocarcinoma | 0.2 | 2016 | 2018 |
BCL2 | Hepatitis | 0.2 | 2003 | 2010 |
CYP3A4 | Hepatitis C | 0.2 | 2013 | 2018 |
CYP3A4 | Hepatoblastoma | 0.2 | 2003 | 2004 |
HIF1A | Hepatitis B | 0.2 | 2003 | 2022 |
ABCB11 | Primary cholangiocarcinoma of intrahepatic biliary tract | 0.2 | 2016 | 2018 |
ABCB11 | Steatohepatitis | 0.2 | 2011 | 2020 |
BCL2 | Hepatitis C, Chronic | 0.2 | 2000 | 2010 |
ABCB11 | Combined Hepatocellular Carcinoma and Cholangiocarcinoma | 0.2 | 2016 | 2018 |
HLA-DRB1 | Hepatitis | 0.2 | 1998 | 2009 |
CYP2D6 | Hepatitis A | 0.2 | 2011 | 2021 |
HLA-DQB1 | Hepatitis C | 0.2 | 2004 | 2020 |
ABCB11 | Hepatitis C | 0.2 | 2011 | 2022 |
BCL2 | Hepatoblastoma | 0.2 | 1996 | 2017 |
HIF1A | Primary cholangiocarcinoma of intrahepatic biliary tract | 0.2 | 2012 | 2022 |
ABCB11 | Hepatitis C, Chronic | 0.2 | 2011 | 2018 |
HLA-DRB1 | Hepatitis C | 0.2 | 2004 | 2009 |
ABCB11 | Increased hepatocellular carcinoma risk | 0.1 | NA | NA |
CYP2D6 | Liver and Intrahepatic Biliary Tract Carcinoma | 0.1 | 1995 | 1995 |
CYP3A4 | Hepatocarcinogenesis | 0.1 | 2013 | 2013 |
BCL2 | Autoimmune hepatitis | 0.1 | 2021 | 2021 |
ADRA2A | Nonalcoholic Steatohepatitis | 0.1 | 2018 | 2018 |
ABCB11 | Elevated hepatic transaminase | 0.1 | NA | NA |
HLA-DQB1 | Autoimmune Hepatitis with Centrilobular Necrosis | 0.1 | 2018 | 2018 |
BCL2 | Trichohepatoenteric Syndrome | 0.1 | 2018 | 2018 |
CYP3A4 | Hepatitis | 0.1 | 1996 | 1996 |
HIF1A | Hepatitis | 0.1 | 2020 | 2020 |
CYP3A4 | Hepatitis B | 0.1 | 2013 | 2013 |
VDR | Primary cholangiocarcinoma of intrahepatic biliary tract | 0.1 | 2014 | 2014 |
BCL2 | Hepatocellular Adenoma | 0.1 | 2000 | 2000 |
HIF1A | Hepatoblastoma | 0.1 | 2020 | 2020 |
BCL2 | Intrahepatic Cholangiocarcinoma | 0.1 | 2018 | 2018 |
TIA1 | Nonalcoholic Steatohepatitis | 0.1 | 2022 | 2022 |
VDR | Hepatitis flare | 0.1 | 2010 | 2010 |
HIF1A | Minimal hepatic encephalopathy | 0.1 | 2014 | 2014 |
ABCB11 | MYO5B-related progressive familial intrahepatic cholestasis | 0.1 | 2017 | 2017 |
ABCB11 | Neonatal hepatitis | 0.1 | 2006 | 2006 |
TIA1 | Hepatosplenic T-cell lymphoma | 0.1 | 2001 | 2001 |
HLA-DRB1 | Acute type B viral hepatitis | 0.1 | 2003 | 2003 |
TIA1 | Liver and Intrahepatic Biliary Tract Carcinoma | 0.1 | 2022 | 2022 |
CYP3A4 | Hepatitis C, Chronic | 0.1 | 2000 | 2000 |
EHMT2 | Steatohepatitis | 0.1 | 2020 | 2020 |
HLA-DQB1 | Elevated hepatic transaminase | 0.1 | NA | NA |
HIF1A | Hepatocellular necrosis | 0.1 | 2021 | 2021 |
ABCB11 | Hepatocellular necrosis | 0.1 | 2011 | 2011 |
HLA-DQB1 | Trichohepatoenteric Syndrome | 0.1 | 2012 | 2012 |
HLA-DRB1 | Trichohepatoenteric Syndrome | 0.1 | 2013 | 2013 |
KCNJ6 | Trichohepatoenteric Syndrome | 0.1 | 2020 | 2020 |
HIF1A | Hepatitis C | 0.1 | 2021 | 2021 |
HIF1A | Hepatolenticular Degeneration | 0.1 | 2020 | 2020 |
ABCB11 | Hepatolenticular Degeneration | 0.1 | 2021 | 2021 |
ABCB11 | Hepatomegaly | 0.1 | NA | NA |
HIF1A | Viral hepatitis | 0.1 | 2022 | 2022 |
CYP3A4 | Hepatic necrosis | 0.1 | 2009 | 2009 |
ABCB11 | Increased incidence of hepatocellular carcinoma | 0.1 | NA | NA |
CYP3A4 | Autoimmune Chronic Hepatitis | 0.1 | 2000 | 2000 |
TIA1 | Hepatocarcinogenesis | 0.1 | 2022 | 2022 |
ABCB11 | Congenital atresia of extrahepatic bile duct | 0.1 | 2004 | 2004 |
CYP3A4 | Autoimmune hepatitis | 0.1 | 2000 | 2000 |
BCL2 | Hepatic lymphoma | 0.1 | 1993 | 1993 |
VDR | Hepatic osteodystrophy | 0.1 | 2000 | 2000 |
ABCB11 | Chronic hepatitis C genotype 4 | 0.1 | 2018 | 2018 |
ABCB11 | Hepatobiliary neoplasm | 0.1 | 2008 | 2008 |
ABCB11 | Nonalcoholic Steatohepatitis | 0.1 | 2020 | 2020 |
CYP3A4 | Nonalcoholic Steatohepatitis | 0.1 | 2010 | 2010 |
EYA2 | Nonalcoholic Steatohepatitis | 0.1 | 2022 | 2022 |
BCL2 | Hepatocellular necrosis | 0.1 | 2019 | 2019 |
VDR | Hepatitis A | 0.1 | 2019 | 2019 |
HIF1A | Hepatitis, Chronic | 0.1 | 2013 | 2013 |
CYP3A4 | Hepatolenticular Degeneration | 0.1 | 2021 | 2021 |
HLA-DRB1 | Hepatomegaly | 0.1 | NA | NA |
HIF1A | Hepatitis B Virus-Related Hepatocellular Carcinoma | 0.1 | 2008 | 2008 |
VDR | Occult chronic type B viral hepatitis | 0.1 | 2010 | 2010 |
EYA2 | Liver and Intrahepatic Biliary Tract Carcinoma | 0.1 | 2021 | 2021 |
VDR | Liver and Intrahepatic Biliary Tract Carcinoma | 0.1 | 2015 | 2015 |
ABCB11 | Liver and Intrahepatic Biliary Tract Carcinoma | 0.1 | 2021 | 2021 |
BCL2 | Primary cholangiocarcinoma of intrahepatic biliary tract | 0.1 | 2018 | 2018 |
CYP3A4 | Hepatitis B, Chronic | 0.1 | 2000 | 2000 |
VDR | Acute hepatitis | 0.1 | 2019 | 2019 |
BCL2 | Hepatic impairment | 0.1 | 2019 | 2019 |
ABCB11 | Fibrolamellar Hepatocellular Carcinoma | 0.1 | 2018 | 2018 |
CYP2D6 | Steatohepatitis | 0.1 | 2022 | 2022 |
ADRA2A | Alcoholic Steatohepatitis | 0.1 | 2018 | 2018 |
HLA-DQB1 | Hepatitis, Drug-Induced | 0.1 | 2011 | 2011 |
HIF1A | Nonalcoholic Steatohepatitis | 0.1 | 2017 | 2019 |
ABCB11 | Hepatoid adenocarcinoma | 0.1 | 2016 | 2016 |
ABCB11 | Hepatobiliary cancer | 0.1 | 2008 | 2008 |
VDR | Hepatitis | 0.1 | 2019 | 2019 |
HIF1A | Hepatitis, Alcoholic | 0.1 | 2015 | 2015 |
HLA-DQB1 | Hepatitis, Toxic | 0.1 | 2011 | 2011 |
CYP2D6 | Hepatolenticular Degeneration | 0.1 | 1999 | 1999 |
RGS4 | Trichohepatoenteric Syndrome | 0.1 | 2009 | 2009 |
VDR | Intrahepatic Cholangiocarcinoma | 0.1 | 2014 | 2014 |
CYP2D6 | Hepatic impairment | 0.1 | 2018 | 2018 |
VDR | Liver carcinoma | 0.8 | 2000 | 2021 |
HIF1A | Liver carcinoma | 0.5 | 1997 | 2022 |
HIF1A | Malignant neoplasm of liver | 0.4 | 2009 | 2022 |
ABCB11 | Abnormal liver function tests during pregnancy | 0.4 | NA | NA |
ABCB11 | Cholestatic liver disease | 0.4 | 2004 | 2021 |
BCL2 | Liver carcinoma | 0.4 | 1995 | 2021 |
ABCB11 | Liver diseases | 0.4 | 2007 | 2022 |
BCL2 | Liver neoplasms | 0.4 | 1995 | 2022 |
ABCB11 | Drug-Induced Liver Disease | 0.4 | 2007 | 2021 |
HIF1A | Liver neoplasms | 0.4 | 1997 | 2022 |
BCL2 | Malignant neoplasm of liver | 0.4 | 1999 | 2022 |
CYP3A4 | Liver carcinoma | 0.4 | 1999 | 2022 |
ABCB11 | Liver carcinoma | 0.4 | 2005 | 2022 |
EHMT2 | Liver carcinoma | 0.4 | 2013 | 2021 |
CYP3A4 | Liver neoplasms | 0.4 | 2003 | 2021 |
HLA-DRB1 | Liver diseases | 0.3 | 1990 | 2016 |
HIF1A | Non-alcoholic Fatty Liver Disease | 0.3 | 2014 | 2022 |
VDR | Liver Cirrhosis | 0.3 | 2000 | 2021 |
VDR | Non-alcoholic Fatty Liver Disease | 0.3 | 2016 | 2022 |
HIF1A | Fibrosis, Liver | 0.3 | 2014 | 2022 |
BCL2 | Non-alcoholic Fatty Liver Disease | 0.3 | 2011 | 2022 |
ABCB11 | Liver Cirrhosis | 0.3 | 2004 | 2018 |
BCL2 | Secondary malignant neoplasm of liver | 0.3 | 1997 | 2021 |
CYP3A4 | Chronic liver disease | 0.3 | 2003 | 2021 |
EHMT2 | Liver neoplasms | 0.3 | 2017 | 2021 |
BCL2 | Fibrosis, Liver | 0.3 | 2003 | 2021 |
HIF1A | Liver Cirrhosis | 0.3 | 2013 | 2021 |
HIF1A | Secondary malignant neoplasm of liver | 0.3 | 2012 | 2020 |
EHMT2 | Malignant neoplasm of liver | 0.3 | 2017 | 2021 |
VDR | Fibrosis, Liver | 0.3 | 2013 | 2022 |
HIF1A | Alcoholic Liver Diseases | 0.3 | 2006 | 2022 |
CYP3A4 | Liver Cirrhosis | 0.3 | 1996 | 2021 |
CYP3A4 | Non-alcoholic Fatty Liver Disease | 0.3 | 2009 | 2019 |
HLA-DQB1 | Liver carcinoma | 0.3 | 2004 | 2021 |
CYP2D6 | Non-alcoholic Fatty Liver Disease | 0.2 | 2009 | 2016 |
CYP2D6 | Liver carcinoma | 0.2 | 1996 | 2022 |
CYP3A4 | Liver diseases | 0.2 | 1995 | 2010 |
VDR | Liver neoplasms | 0.2 | 2005 | 2021 |
HLA-DRB1 | Liver carcinoma | 0.2 | 2004 | 2020 |
BCL2 | Chronic liver disease | 0.2 | 2000 | 2011 |
VDR | Chronic liver disease | 0.2 | 2015 | 2021 |
CYP2D6 | Liver Cirrhosis | 0.2 | 2003 | 2016 |
CYP2D6 | Liver diseases | 0.2 | 2003 | 2015 |
VDR | Fatty Liver | 0.2 | 2016 | 2022 |
ABCB11 | Non-alcoholic Fatty Liver Disease | 0.2 | 2011 | 2018 |
HLA-DQB1 | Drug-Induced Liver Disease | 0.2 | 2011 | 2015 |
ABCB11 | Liver neoplasms | 0.2 | 2018 | 2021 |
BCL2 | Liver diseases | 0.2 | 2000 | 2012 |
ABCB11 | Fatty Liver | 0.2 | 2011 | 2020 |
CYP3A4 | Secondary malignant neoplasm of liver | 0.2 | 2006 | 2018 |
HIF1A | Drug-Induced Liver Disease | 0.2 | 2022 | 2022 |
VDR | Autoimmune liver disease | 0.2 | 2002 | 2020 |
CBX1 | Liver carcinoma | 0.2 | 2018 | 2022 |
HIF1A | Liver diseases | 0.2 | 2011 | 2022 |
VDR | Liver diseases | 0.2 | 2006 | 2019 |
HIF1A | Fatty Liver | 0.2 | 2014 | 2021 |
BCL2 | Alcoholic Liver Diseases | 0.2 | 2002 | 2016 |
ABCB11 | End Stage Liver Disease | 0.2 | 2016 | 2020 |
TIA1 | Liver carcinoma | 0.2 | 2010 | 2022 |
CYP3A4 | Fatty Liver | 0.2 | 2007 | 2022 |
BCL2 | Liver Cirrhosis | 0.2 | 1997 | 2016 |
HLA-DRB1 | Liver Cirrhosis | 0.2 | 2004 | 2015 |
EHMT2 | Fibrosis, Liver | 0.1 | 2021 | 2021 |
CYP2D6 | Fibrosis, Liver | 0.1 | 2006 | 2006 |
HLA-DQB1 | Liver Dysfunction | 0.1 | NA | NA |
HSD17B10 | Abnormality of the liver | 0.1 | NA | NA |
ABCB11 | Elevated liver enzymes | 0.1 | NA | NA |
HLA-DRB1 | Liver dysfunction, mild | 0.1 | NA | NA |
TIA1 | Malignant neoplasm of liver | 0.1 | 2022 | 2022 |
BCL2 | Liver regeneration disorder | 0.1 | 2006 | 2006 |
CYP3A4 | End Stage Liver Disease | 0.1 | 2015 | 2015 |
BCL2 | Liver Failure, Acute | 0.1 | 1996 | 2020 |
EYA2 | Liver carcinoma | 0.1 | 2021 | 2021 |
HIF1A | Acute-On-Chronic Liver Failure | 0.1 | 2020 | 2020 |
CYP2D6 | Primary Malignant Liver Neoplasm | 0.1 | 1995 | 1995 |
CYP3A4 | Primary Malignant Liver Neoplasm | 0.1 | 2007 | 2007 |
ABCB11 | Primary Malignant Liver Neoplasm | 0.1 | 2021 | 2021 |
CYP2D6 | Liver neoplasms | 0.1 | 1995 | 1995 |
ABCB11 | Chronic Liver Failure | 0.1 | 2007 | 2007 |
BCL2 | Drug-Induced Liver Disease | 0.1 | 2020 | 2020 |
ABCB11 | Malignant neoplasm of liver | 0.1 | 2021 | 2021 |
CYP3A4 | Malignant neoplasm of liver | 0.1 | 2012 | 2012 |
HLA-DQB1 | Subclinical abnormal liver function tests | 0.1 | NA | NA |
ABCB11 | Impaired release of bile from liver | 0.1 | NA | NA |
CYP2D6 | Fatty Liver | 0.1 | 2022 | 2022 |
ABCB11 | Alcoholic Liver Diseases | 0.1 | 2012 | 2012 |
HIF1A | Primary Malignant Liver Neoplasm | 0.1 | 2016 | 2016 |
HLA-DQB1 | Liver Abscess, Amebic | 0.1 | 2015 | 2015 |
HSD17B10 | Liver diseases | 0.1 | NA | NA |
ABCB11 | Liver Failure | 0.1 | 2017 | 2017 |
HLA-DRB1 | Liver Failure | 0.1 | NA | NA |
HLA-DQB1 | Non-alcoholic Fatty Liver Disease | 0.1 | 2020 | 2020 |
ABCB11 | Liver enzymes abnormal | 0.1 | NA | NA |
HIF1A | Liver Failure, Acute | 0.1 | 2022 | 2022 |
ADRA2A | Chronic liver disease | 0.1 | 2021 | 2021 |
HIF1A | Chronic liver disease | 0.1 | 2022 | 2022 |
HLA-DQB1 | Drug-Induced Acute Liver Injury | 0.1 | 2011 | 2011 |
TIA1 | Liver neoplasms | 0.1 | 2022 | 2022 |
HLA-DQB1 | Liver Cirrhosis | 0.1 | 2004 | 2004 |
ABCB11 | Fibrosis, Liver | 0.1 | 2018 | 2018 |
ABCB11 | Liver Dysfunction | 0.1 | NA | NA |
HLA-DQB1 | Elevated liver enzymes | 0.1 | NA | NA |
CYP3A4 | Drug-Induced Liver Disease | 0.1 | 2013 | 2013 |
RGS4 | Liver carcinoma | 0.1 | 2019 | 2019 |
ABCB11 | Liver function test increased | 0.1 | NA | NA |
ABCB11 | Congenital absence of liver | 0.1 | 2020 | 2020 |
HLA-DQB1 | Chemically-Induced Liver Toxicity | 0.1 | 2011 | 2011 |
EYA2 | Non-alcoholic Fatty Liver Disease | 0.1 | 2022 | 2022 |
HLA-DQB1 | Liver function tests abnormal finding | 0.1 | NA | NA |
ABCB11 | Liver function tests abnormal finding | 0.1 | NA | NA |
HIF1A | Liver Dysplastic Nodule | 0.1 | 2007 | 2007 |
HLA-DQB1 | Liver enzymes abnormal | 0.1 | NA | NA |
ABCB11 | Subclinical abnormal liver function tests | 0.1 | NA | NA |
VDR | Malignant neoplasm of liver | 0.1 | 2015 | 2015 |
EYA2 | Malignant neoplasm of liver | 0.1 | 2021 | 2021 |
HLA-DRB1 | Chronic liver disease | 0.1 | 2003 | 2003 |
VDR | Alcoholic Liver Diseases | 0.1 | 2012 | 2012 |
EYA2 | Liver neoplasms | 0.1 | 2021 | 2021 |
HIF1A | Liver Abscess, Amebic | 0.1 | 2022 | 2022 |
HLA-DRB1 | Liver Dysfunction | 0.1 | NA | NA |
HLA-DRB1 | Abnormal liver parenchyma morphology | 0.1 | NA | NA |
HLA-DRB1 | Fibrosis, Liver | 0.1 | 1998 | 1998 |
CYP3A4 | Liver regeneration disorder | 0.1 | 2015 | 2015 |
HSD17B10 | Non-alcoholic Fatty Liver Disease | 0.1 | 2021 | 2021 |
BCL2 | Autoimmune liver disease | 0.1 | 2016 | 2016 |
HLA-DQB1 | Liver function test increased | 0.1 | NA | NA |
VDR | Secondary malignant neoplasm of liver | 0.1 | 2021 | 2021 |
HLA-DQB1 | Chemical and Drug Induced Liver Injury | 0.1 | 2011 | 2011 |
CYP2D6 | Liver Failure, Acute | 0.1 | 2019 | 2019 |
HLA-DRB1 | Decreased liver function | 0.1 | NA | NA |
CYP2D6 | Malignant neoplasm of liver | 0.1 | 1995 | 1995 |
BCL2 | Fatty Liver | 0.1 | 2011 | 2011 |
CYP3A4 | Liver Cirrhosis, Alcoholic | 0.1 | 2018 | 2018 |
VDR | Liver Cirrhosis, Alcoholic | 0.1 | 2010 | 2010 |
HLA-DRB1 | Liver Abscess, Amebic | 0.1 | 2015 | 2015 |
CYP3A4 | Liver Failure | 0.1 | 1999 | 1999 |
CYP2D6 | Drug-Induced Liver Disease | 0.1 | 2022 | 2022 |
But we can still go one step beyond: Do specific individuals possess a heightened susceptibility to flupirtine-induced liver toxicity? Could this susceptibility stem, at least in part, from genomic variability? Can DISGENET plus provide such insights? If so, pharmacogenomic guidelines for the drug could be devised, allowing for more personalized treatment approaches. This way, non-susceptible patients could still benefit from flupirtine treatment. This is especially appealing in light of ongoing studies testing the effect of flupirtine for alleviating pain in different conditions and procedures, or evaluating its therapeutic efficacy for the management of Creutzfeldt-Jakob disease [1] or Multiple Sclerosis [2].
One prime example of a genomic variant linked to flupirtine toxicity is a variant within the HLA-DQB1 gene. A GWAs study revealed that the HLA-DQB1 *05:02 haplotype heightens the risk of drug-induced liver injury during flupirtine treatment [3].
However, numerous other variants within genes associated with flupirtine also intertwine with liver conditions. For instance, genomic variants in genes like VDR, BCL2, or ABCB11 contribute to this connection.

The VDR gene harbours dozen genomic variants tied to liver conditions. Figure 2 illustrates some of the associations among VDR SNPs and liver disorders. Take, for instance, the rs2228570 variant, which causes a loss of the start codon. This variant is prevalent among African/African American populations and South Asians (allele frequencies of 0.7868 and 0.7675, respectively), but less so among East Asians and Latinos (allele frequencies of 0.5423 and 0.5259, respectively). Another variant, rs1544410, exhibits marked differences in allele frequencies across populations. While it is observed at 0.4172 in Ashkenazi Jewish individuals, East Asians show notably lower frequency (0.04936). This variant is associated with liver fibrosis and NAFLD, potentially contributing to differential susceptibility to liver toxicity during flupirtine treatment.
Summary
Flupirtine, initially introduced as a non-opioid analgesic, encountered a turbulent journey due to liver toxicity concerns. Despite regulatory efforts, severe liver injuries persisted. DISGENET plus, a data analysis platform, offers insights into the complex relationship between flupirtine-associated genes and liver conditions. The central role of the vitamin D receptor in liver health is highlighted. By leveraging DISGENET plus, preemptive identification of adverse reactions becomes possible, shaping drug development and regulatory decisions. Furthermore, genomic variants, such as those within the VDR gene, might contribute to the intricate susceptibility to flupirtine-induced liver toxicity, underlining the potential for personalized treatment guidelines.
Conclusion
The story of flupirtine underscores the importance of data analysis platforms like DISGENET plus in anticipating adverse drug reactions. By dissecting genetic links between drugs and diseases, DISGENET plus can inform safer drug development. Flupirtine’s impact on liver health, and the genomic variants influencing susceptibility, exemplify the power of personalized medicine in minimizing unforeseen medical consequences.
If you want to learn more on how to leverage DISGENET plus for anticipating safety issues in drug development, contact us at info@disgenetplus.com
References
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