Evidence map›Paper›PMID 35563861›Full record

ArticleCells2022

Combining Pharmacokinetics and Vibrational Spectroscopy: MCR-ALS Hard-and-Soft Modelling of Drug Uptake In Vitro Using Tailored Kinetic Constraints.

David Pérez-Guaita, Guillermo Quintás, Zeineb Farhane, Romá Tauler, Hugh J Byrne

Abstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Monitoring and modelling the glutamine metabolic pathway: a review and future perspectives.Metabolomics : Official journal of the Metabolomic Society · 2023
    Review
  3. Review
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

5 authors.

David Pérez-GuaitaFOCAS Research Institute, Technological University Dublin, City Campus, D08 CKP1 Dublin, Ireland.
Guillermo QuintásHealth and Biomedicine, Leitat Technological Centre, 08028 Barcelona, Spain.ORCID 0000-0002-4240-9846
Zeineb FarhaneFOCAS Research Institute, Technological University Dublin, City Campus, D08 CKP1 Dublin, Ireland.
Romá TaulerInstitute of Environmental Assessment and Water Research (IDAEA)-Higher Council for Scientific Research (CSIC), 08043 Barcelona, Spain.
Hugh J ByrneFOCAS Research Institute, Technological University Dublin, City Campus, D08 CKP1 Dublin, Ireland.ORCID 0000-0002-1735-8610

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman microspectroscopy is a label-free technique which is very suited for the investigation of pharmacokinetics of cellular uptake, mechanisms of interaction, and efficacies of drugs in vitro. However, the complexity of the spectra makes the identification of spectral patterns associated with the drug and subsequent cellular responses difficult. Indeed, multivariate methods that relate spectral features to the inoculation time do not normally take into account the kinetics involved, and important theoretical information which could assist in the elucidation of the relevant spectral signatures is excluded. Here, we propose the integration of kinetic equations in the modelling of drug uptake and subsequent cellular responses using Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) and tailored kinetic constraints, based on a system of ordinary differential equations. Advantages of and challenges to the methodology were evaluated using simulated Raman spectral data sets and real Raman spectra acquired from A549 and Calu-1 human lung cells inoculated with doxorubicin, in vitro. The results suggest a dependency of the outcome on the system of equations used, and the importance of the temporal resolution of the data set to enable the use of complex equations. Nevertheless, the use of tailored kinetic constraints during MCR-ALS allowed a more comprehensive modelling of the system, enabling the elucidation of not only the time-dependent concentration profiles and spectral features of the drug binding and cellular responses, but also an accurate computation of the kinetic constants.

Indexed as

Spectrum Analysis, RamanHumansKineticsLeast-Squares AnalysisMultivariate AnalysischemometricsMultivariate Curve Resolution-Alternating Least SquarespharmacokineticsRaman microspectroscopy

Identifiers

PMID35563861
PMCPMC9099467

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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.