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Rapid Detection of Direct Compound Toxicity and Trailing Detection of Indirect Cell Metabolite Toxicity in a 96-Well Fluidic Culture Device for Cell-Based Screening Environments: Tactics in Six Sigma Quality Control Charts.

Bob LubambaTimothy JensenRandall E McClelland
Published in: Applied sciences (Basel, Switzerland) (2022)
Microfluidic screening tools, in vitro , evolve amid varied scientific disciplines. One emergent technique, simultaneously assessing cell toxicity from a primary compound and ensuing cell-generated metabolites (dual-toxicity screening), entails in-line systems having sequentially aligned culture chambers. To explore dual-tox screens, we probe the dissemination of nutrients involving 1-way transport with upstream compound dosing, midstream cascading flows, and downstream cessation. Distribution of flow gives rise to broad concentration ranges of dosing compound (0→IC compound 100) and wide-ranging concentration ranges of generated cell metabolites (0→IC metabolites 100). Innately, single-pass unidirectional flow retains 1st pass informative traits across the network, composed of nine interconnected culture wells, preserving both compound and cell-secreted byproducts as data indicators in each adjacent culture chamber. Thereafter, to assess effective compound hepatotoxicity (0→EC compound 100) and simultaneously classify for cell-metabolite toxicity (0→EC metabolite 100), we reveal utility by analyzing culture viability against ramping exposures of acetaminophen (APAP) and nefazodone (NEF), compounds of hepatic significance. We then discern metabolite generation with an emphasis on amplification across μchannel multiwell sites. Lastly, using conventional cell functions as indicator tools to assess dual toxicity, we investigate a non-drug induced liver injury (non-DILI) compound and DILI compound. The technology is for predictive evaluations of new compound formulations, new chemical entities (NCE), or drugs that have previously failed testing for unresolved reasons.
Keyphrases
  • single cell
  • cell therapy
  • high throughput
  • quality control
  • genome wide
  • air pollution
  • mesenchymal stem cells
  • dna methylation
  • drinking water
  • risk assessment
  • big data
  • artificial intelligence
  • data analysis
  • adverse drug