Evidence map›Paper›PMID 30718376›Full record

ArticleThe Journal of general physiology2019

Determining the pharmacokinetics of nicotinic drugs in the endoplasmic reticulum using biosensors.

Amol V Shivange, Philip M Borden, Anand K Muthusamy, Aaron L Nichols, Kallol Bera, Huan Bao, Ishak Bishara, Janice Jeon, Matthew J Mulcahy, Bruce Cohen and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of general physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 68 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Continuous Nicotine Monitors for Personal Nicotine Pharmacokinetics: A Receptor-Aware Research Agenda.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Review
  6. Genetically encoded sensors illuminateIBRO neuroscience reports · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Antidepressants enter cells, organelles, and membranes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  18. Article
  19. Selective Serotonin Reuptake Inhibitors within Cells: Temporal Resolution in Cytoplasm, Endoplasmic Reticulum, and Membrane.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 2 institutions in 1 country.

Amol V ShivangeDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
Philip M BordenJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA.
Anand K MuthusamyDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.ORCID 0000-0003-1041-914X
Aaron L NicholsDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.ORCID 0000-0001-9341-0049
Kallol BeraDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
Huan BaoHoward Hughes Medical Institute and Department of Neuroscience, University of Wisconsin, Madison, WI.
Ishak BisharaDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.ORCID 0000-0001-7563-1980
Janice JeonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.ORCID 0000-0002-8483-586X
Matthew J MulcahyDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
Bruce CohenDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
Saidhbhe L O'RiordanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
Charlene KimDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA.
Dennis A DoughertyDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA.ORCID 0000-0003-1464-2461
Edwin R ChapmanHoward Hughes Medical Institute and Department of Neuroscience, University of Wisconsin, Madison, WI.ORCID 0000-0001-9787-8140
Jonathan S MarvinJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA.ORCID 0000-0003-2294-4515
Loren L LoogerJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA loogerl@janelia.hhmi.org.
Henry A LesterDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA lester@caltech.edu.ORCID 0000-0002-5470-5255
California Institute of Technology · USHoward Hughes Medical Institute · US

Funding

PREDOCTORAL TRAINING IN BIOLOGY AND CHEMISTRYT32GM007616 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 1985 to 2019
$22.9M
Synaptotagmin C2B Domain as a Ca2+ Sensing ModuleR01MH061876 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI Edwin R Chapman · 2002 to 2026
$7.7M
Structure and dynamics of exocytotic fusion poresR35NS097362 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI CHAPMAN, EDWIN R · 2017 to 2024
$4.6M
Fluorescent biosensors for subcellular pharmacokineticsR01GM123582 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2016 to 2021
$3.8M
PROBING RECEPTOR STRUCTURES WITH UNNATURAL AMINO ACIDSR01NS034407 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI DOUGHERTY, DENNIS A · 1995 to 2016
$3.1M
Probing Receptor Structures with Unnatural Amino AcidsR37NS034407 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI DOUGHERTY, DENNIS A · 2004 to 2010
$2.7M
Beta2 nicotine receptor subunits: biomarkers for dependenceR01DA036061 · NIDA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2014 to 2018
$2.5M
Tools for inside-out pharmacology: nicotinic agentsR01DA037161 · NIDA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2013 to 2016
$1.3M
Nicotine Inside NeuronsR21DA043829 · NIDA · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI LESTER, HENRY A. · 2017 to 2018
$454k
Howard Hughes Medical InstituteNIDA NIH HHS R01 DA036061NIDA NIH HHS R01 DA037161NIDA NIH HHS R21 DA043829NIGMS NIH HHS R01 GM123582NIGMS NIH HHS T32 GM007616NIMH NIH HHS R01 MH061876NINDS NIH HHS R01 NS034407NINDS NIH HHS R35 NS097362NINDS NIH HHS R37 NS034407
6 · The paper itself

Abstract

Nicotine dependence is thought to arise in part because nicotine permeates into the endoplasmic reticulum (ER), where it binds to nicotinic receptors (nAChRs) and begins an "inside-out" pathway that leads to up-regulation of nAChRs on the plasma membrane. However, the dynamics of nicotine entry into the ER are unquantified. Here, we develop a family of genetically encoded fluorescent biosensors for nicotine, termed iNicSnFRs. The iNicSnFRs are fusions between two proteins: a circularly permutated GFP and a periplasmic choline-/betaine-binding protein engineered to bind nicotine. The biosensors iNicSnFR3a and iNicSnFR3b respond to nicotine by increasing fluorescence at [nicotine] <1 µM, the concentration in the plasma and cerebrospinal fluid of a smoker. We target iNicSnFR3 biosensors either to the plasma membrane or to the ER and measure nicotine kinetics in HeLa, SH-SY5Y, N2a, and HEK293 cell lines, as well as mouse hippocampal neurons and human stem cell-derived dopaminergic neurons. In all cell types, we find that nicotine equilibrates in the ER within 10 s (possibly within 1 s) of extracellular application and leaves as rapidly after removal from the extracellular solution. The [nicotine] in the ER is within twofold of the extracellular value. We use these data to run combined pharmacokinetic and pharmacodynamic simulations of human smoking. In the ER, the inside-out pathway begins when nicotine becomes a stabilizing pharmacological chaperone for some nAChR subtypes, even at concentrations as low as ∼10 nM. Such concentrations would persist during the 12 h of a typical smoker's day, continually activating the inside-out pathway by >75%. Reducing nicotine intake by 10-fold decreases activation to ∼20%. iNicSnFR3a and iNicSnFR3b also sense the smoking cessation drug varenicline, revealing that varenicline also permeates into the ER within seconds. Our iNicSnFRs enable optical subcellular pharmacokinetics for nicotine and varenicline during an early event in the inside-out pathway.

Indexed as

AnimalsBiosensing TechniquesCell LineCell Line, TumorCell MembraneEndoplasmic ReticulumFemaleHEK293 CellsHeLa CellsHippocampusHumansMammalsMiceNeuronsNicotinePregnancyNicotineReceptors, NicotinicVarenicline

Identifiers

PMID30718376
PMCPMC6571994
OpenAlexW2911724959

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.