β2-spectrin (SPTBN1) as a therapeutic target for diet-induced liver disease and preventing cancer development.
Shuyun RaoXiaochun YangKazufumi OhshiroSobia ZaidiZhanhuai WangKirti ShettyXiyan XiangM D Imtaiyaz HassanTaj MohammadPatricia S LathamBao-Ngoc NguyenLinda Lou WongHerbert YuYousef Al-AbedBibhuti MishraMichele VaccaGareth GuenigaultMichael E D AllisonAntonio Vidal-PuigJihane N BenhammouMarcus AlvarezPäivi PajukantaJoseph R PisegnaLopa MishraPublished in: Science translational medicine (2021)
The prevalence of nonalcoholic steatohepatitis (NASH) and liver cancer is increasing. De novo lipogenesis and fibrosis contribute to disease progression and cancerous transformation. Here, we found that β2-spectrin (SPTBN1) promotes sterol regulatory element (SRE)–binding protein (SREBP)–stimulated lipogenesis and development of liver cancer in mice fed a high-fat diet (HFD) or a western diet (WD). Either hepatocyte-specific knockout of SPTBN1 or siRNA-mediated therapy protected mice from HFD/WD-induced obesity and fibrosis, lipid accumulation, and tissue damage in the liver. Biochemical analysis suggested that HFD/WD induces SPTBN1 and SREBP1 cleavage by CASPASE-3 and that the cleaved products interact to promote expression of genes with sterol response elements. Analysis of human NASH tissue revealed increased SPTBN1 and CASPASE-3 expression. Thus, our data indicate that SPTBN1 represents a potential target for therapeutic intervention in NASH and liver cancer.
Keyphrases
- high fat diet
- high fat diet induced
- insulin resistance
- binding protein
- adipose tissue
- poor prognosis
- metabolic syndrome
- skeletal muscle
- cell death
- type diabetes
- weight loss
- endothelial cells
- risk factors
- papillary thyroid
- induced apoptosis
- oxidative stress
- high glucose
- transcription factor
- genome wide
- stem cells
- electronic health record
- young adults
- risk assessment
- squamous cell carcinoma
- diabetic rats
- machine learning
- drug delivery
- lymph node metastasis
- cancer therapy
- endoplasmic reticulum stress
- deep learning
- cell therapy
- climate change
- artificial intelligence
- induced pluripotent stem cells
- squamous cell
- hyaluronic acid
- smoking cessation