Areca catechu-(Betel-nut)-induced whole transcriptome changes in a human monocyte cell line that may have relevance to diabetes and obesity; a pilot study

BMC Endocr Disord. 2021 Aug 14;21(1):165. doi: 10.1186/s12902-021-00827-1.

Abstract

Background: Betel-nut consumption is the fourth most common addictive habit globally and there is good evidence linking the habit to obesity, type 2 diabetes (T2D) and the metabolic syndrome. The aim of our pilot study was to identify gene expression relevant to obesity, T2D and the metabolic syndrome using a genome-wide transcriptomic approach in a human monocyte cell line incubated with arecoline and its nitrosated products.

Results: The THP1 monocyte cell line was incubated separately with arecoline and 3-methylnitrosaminopropionaldehyde (MNPA) in triplicate for 24 h and pooled cDNA indexed paired-end libraries were sequenced (Illumina NextSeq 500). After incubation with arecoline and MNPA, 15 and 39 genes respectively had significant changes in their expression (q < 0.05, log fold change 1.5). Eighteen of those genes have reported associations with T2D and obesity in humans; of these genes there was most marked evidence for CLEC10A, MAPK8IP1, NEGR1, NQ01 and INHBE genes.

Conclusions: Our preliminary studies have identified a large number of genes relevant to obesity, T2D and metabolic syndrome whose expression was changed significantly in human TPH1 cells following incubation with betel-nut derived arecoline or with MNPA. These findings require validation by further cell-based work and investigation amongst betel-chewing communities.

Keywords: Betel-nut; Obesity; RNA-sequencing; Transcriptomics; Type 2 diabetes.

MeSH terms

  • Areca / chemistry*
  • Arecoline / pharmacology*
  • Biomarkers / analysis
  • Biomarkers / metabolism
  • Diabetes Mellitus, Type 2 / genetics*
  • Follow-Up Studies
  • Gene Expression Regulation / drug effects*
  • Humans
  • Metabolic Syndrome / genetics*
  • Monocytes / drug effects
  • Monocytes / metabolism*
  • Monocytes / pathology
  • Obesity / genetics*
  • Pilot Projects
  • Prognosis
  • Transcriptome / drug effects*

Substances

  • Biomarkers
  • Arecoline