Evidence map›Paper›PMID 26700958›Full record

ArticleDrug metabolism and disposition: the biological fate of chemicals2016

Rapid Method To Determine Intracellular Drug Concentrations in Cellular Uptake Assays: Application to Metformin in Organic Cation Transporter 1-Transfected Human Embryonic Kidney 293 Cells.

Huan-Chieh Chien, Arik A Zur, Tristan S Maurer, Sook Wah Yee, John Tolsma, Paul Jasper, Dennis O Scott, Kathleen M Giacomini

Open access · bronzeAbstract read
In one paragraph

Article in Drug metabolism and disposition: the biological fate of chemicals, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.0field-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

33 citing papers in PubMed, 66 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. The direct targets of metformin in diabetes and beyond.Trends in endocrinology and metabolism: TEM · 2025
    Review
  5. Article
  6. Fluorometric Methods to Measure Bioavailable and Total Heme.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Novel method for kinetic analysis applied to transport by the uniporter OCT2.American journal of physiology. Renal physiology · 2022
    Article
  9. Article
  10. Review
  11. Consideration of the Unbound Drug Concentration in Enzyme Kinetics.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Drug Concentration Asymmetry in Tissues and Plasma for Small Molecule-Related Therapeutic Modalities.Drug metabolism and disposition: the biological fate of chemicals · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Huan-Chieh ChienDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts.
Arik A ZurDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts.
Tristan S MaurerDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts.
Sook Wah YeeDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts.
John TolsmaDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts.
Paul JasperDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts.
Dennis O ScottDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts.
Kathleen M GiacominiDepartment of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California (H.C.C., A.A.Z., S.W.Y., K.M.G.); Systems Modeling and Simulation (T.S.M.) and Cardiovascular and Metabolic Disease Research Unit (D.O.S.), Department of Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Cambridge, Massachusetts; RES Group, Inc. (J.T., P.J.) Needham, Massachusetts kathy.giacomini@ucsf.edu.
University of California, San Francisco · USRenewable Energy Systems (United States) · USPfizer (United States) · US

Funding

Equipment Supplement for Discovery of Pharmacogenomic Biomarkers for OATP1B1 and OATP1B3R01GM117163 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FLOREZ, JOSE CARLOS, HEDDERSON, MONIQUE MARIE · 2015 to 2023
$5.5M
NIGMS NIH HHS R01 GM117163
6 · The paper itself

Abstract

Because of the importance of intracellular unbound drug concentrations in the prediction of in vivo concentrations that are determinants of drug efficacy and toxicity, a number of assays have been developed to assess in vitro unbound concentrations of drugs. Here we present a rapid method to determine the intracellular unbound drug concentrations in cultured cells, and we apply the method along with a mechanistic model to predict concentrations of metformin in subcellular compartments of stably transfected human embryonic kidney 293 (HEK293) cells. Intracellular space (ICS) was calculated by subtracting the [(3)H]-inulin distribution volume (extracellular space, ECS) from the [(14)C]-urea distribution volume (total water space, TWS). Values obtained for intracellular space (mean ± S.E.M.; μl/10(6) cells) of monolayers of HEK cells (HEK-empty vector [EV]) and cells overexpressing human organic cation transporter 1 (HEK-OCT1), 1.21± 0.07 and 1.25±0.06, respectively, were used to determine the intracellular metformin concentrations. After incubation of the cells with 5 µM metformin, the intracellular concentrations were 26.4 ± 7.8 μM and 268 ± 11.0 μM, respectively, in HEK-EV and HEK-OCT1. In addition, intracellular metformin concentrations were lower in high K(+) buffer (140 mM KCl) compared with normal K(+) buffer (5.4 mM KCl) in HEK-OCT1 cells (54.8 ± 3.8 μM and 198.1 ± 11.2 μM, respectively; P < 0.05). Our mechanistic model suggests that, depending on the credible range of assumed physiologic values, the positively charged metformin accumulates to particularly high levels in endoplasmic reticulum and/or mitochondria. This method together with the computational model can be used to determine intracellular unbound concentrations and to predict subcellular accumulation of drugs in other complex systems such as primary cells.

Indexed as

Biological TransportCell LineEndoplasmic ReticulumHEK293 CellsHumansMetforminMitochondriaOrganic Cation Transporter 1TransfectionMetforminOrganic Cation Transporter 1

Identifiers

PMID26700958
PMCPMC6047207
OpenAlexW2265806198

What OpenQuestion holds

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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.