Evidence map›Paper›PMID 25185260›Full record

ReviewDrug metabolism and disposition: the biological fate of chemicals2014

Toward sensitive and accurate analysis of antibody biotherapeutics by liquid chromatography coupled with mass spectrometry.

Bo An, Ming Zhang, Jun Qu

Abstract readReview
In one paragraph

Review in Drug metabolism and disposition: the biological fate of chemicals, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Immunogenicity of Protein Pharmaceuticals.Journal of pharmaceutical sciences · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

3 authors.

Bo AnDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York (B.A., M.Z., J.Q.); New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York (B.A., M.Z., J.Q.).
Ming ZhangDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York (B.A., M.Z., J.Q.); New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York (B.A., M.Z., J.Q.).
Jun QuDepartment of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, New York (B.A., M.Z., J.Q.); New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, New York (B.A., M.Z., J.Q.) junqu@buffalo.edu.

Funding

Systems Biology of GlycosylationR01HL103411 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI NEELAMEGHAM, SRIRAM · 2011 to 2025
$7.1M
Synergistic Pharmacologicjntervention for Prevention of ROP (SPIPROP STUDY)U54HD071594 · NICHD · SUNY DOWNSTATE MEDICAL CENTER · PI ARANDA, JACOB V · 2011 to 2015
$3.6M
Protein Arginine Methylation in TrypanosomesR01AI060260 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI READ, LAURIE K. · 2003 to 2014
$3.3M
Peripheral biomarkers of cocaine dependence and relapseR21DA027528 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI QU, JUN, STRAUBINGER, ROBERT M · 2009 to 2010
$631k
SUBCELLULAR DOMAINS OF MYELINATING-GLIA: CAPTURING AXONAL CONTACT.R21HD075363 · NICHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FELTRI, M. LAURA · 2012 to 2013
$424k
Protein Arginine Methylation in TrypanosomesR56AI060260 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI READ, LAURIE K. · 2009 to 2009
$381k
NHLBI NIH HHS HL103411NHLBI NIH HHS R01 HL103411NIAID NIH HHS AI060260NIAID NIH HHS R01 AI060260NIAID NIH HHS R56 AI060260NICHD NIH HHS HD075363NICHD NIH HHS R21 HD075363NICHD NIH HHS U54 HD071594NIDA NIH HHS DA027528NIDA NIH HHS R21 DA027528
6 · The paper itself

Abstract

Remarkable methodological advances in the past decade have expanded the application of liquid chromatography coupled with mass spectrometry (LC/MS) analysis of biotherapeutics. Currently, LC/MS represents a promising alternative or supplement to the traditional ligand binding assay (LBA) in the pharmacokinetic, pharmacodynamic, and toxicokinetic studies of protein drugs, owing to the rapid and cost-effective method development, high specificity and reproducibility, low sample consumption, the capacity of analyzing multiple targets in one analysis, and the fact that a validated method can be readily adapted across various matrices and species. While promising, technical challenges associated with sensitivity, sample preparation, method development, and quantitative accuracy need to be addressed to enable full utilization of LC/MS. This article introduces the rationale and technical challenges of LC/MS techniques in biotherapeutics analysis and summarizes recently developed strategies to alleviate these challenges. Applications of LC/MS techniques on quantification and characterization of antibody biotherapeutics are also discussed. We speculate that despite the highly attractive features of LC/MS, it will not fully replace traditional assays such as LBA in the foreseeable future; instead, the forthcoming trend is likely the conjunction of biochemical techniques with versatile LC/MS approaches to achieve accurate, sensitive, and unbiased characterization of biotherapeutics in highly complex pharmaceutical/biologic matrices. Such combinations will constitute powerful tools to tackle the challenges posed by the rapidly growing needs for biotherapeutics development.

Indexed as

AntibodiesChromatography, LiquidHumansLigandsLimit of DetectionMass SpectrometryPharmacokineticsAntibodiesLigands

Identifiers

PMID25185260
PMCPMC4201127

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.