Evidence map›Paper›PMID 22770385›Full record

ArticleJournal of chromatography. A2012

Nano-scale liquid chromatography/mass spectrometry and on-the-fly orthogonal array optimization for quantification of therapeutic monoclonal antibodies and the application in preclinical analysis.

Xiaotao Duan, Lipeng Dai, Shang-Chiung Chen, Joseph P Balthasar, Jun Qu

Open access · greenAbstract read
In one paragraph

Article in Journal of chromatography. A, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 47 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Xiaotao DuanThe Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Amherst, NY 14260, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14203, USA.
Lipeng DaiThe Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Amherst, NY 14260, USA; Department of Pharmaceutical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14203, USA; State Key Laboratory of Drug Delivery Technology and Pharmacokinetics, Tianjin Institute of Pharmaceutical Research, Tianjin 300193, China.
Shang-Chiung ChenThe Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Amherst, NY 14260, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14203, USA.
Joseph P BalthasarThe Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Amherst, NY 14260, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14203, USA.
Jun QuThe Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Amherst, NY 14260, USA; New York State Center of Excellence in Bioinformatics and Life Sciences, Buffalo, NY 14203, USA. Electronic address: junqu@Buffalo.edu.
Center for Excellence in Education · USUniversity at Buffalo, State University of New York · US

Funding

Synergistic Pharmacologicjntervention for Prevention of ROP (SPIPROP STUDY)U54HD071594 · NICHD · SUNY DOWNSTATE MEDICAL CENTER · PI QU, JUN · 2011 to 2015
$3.6M
Pharmacology and bioengineering of new treatments of ITPR01HL067347 · NHLBI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P · 2001 to 2010
$2.5M
FcRn Inhibitors for Antibody-Mediated Immune ConditionsR01AI060687 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P · 2004 to 2007
$1.4M
Pharmacokinetic strategies to optimize IP chemotherapyR01CA118213 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALTHASAR, JOSEPH P · 2006 to 2009
$1.0M
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
NCI NIH HHS CA118213NCI NIH HHS R01 CA118213NHLBI NIH HHS R01 HL067347NIAID NIH HHS R01 AI060687NICHD NIH HHS U54 HD071594NICHD NIH HHS U54HD071594NIDA NIH HHS DA027528NIDA NIH HHS R21 DA027528
6 · The paper itself

Abstract

Therapeutic monoclonal antibodies (mAbs) constitute a group of highly effective agents for treating various refractory diseases. Nonetheless it is challenging to achieve selective and accurate quantification of mAb in pharmaceutical matrices, which is required by PK studies. Liquid chromatography/mass spectrometry under selected reaction monitoring mode (LC/SRM-MS) is emerging as an attractive alternative to immunoassays because of the high specificity and multiplexing capacity it provides, but may fall short in terms of sensitivity, reliability and quantitative accuracy. Moreover, the strategy for optimization of the MS conditions for many candidates of signature peptides (SP) and the selection of the optimal SP for quantification remains elusive. In this study, we employed a suite of technical advances to overcome these difficulties, which include: (i) a nano-LC/SRM-MS approach to achieve high analytical sensitivity, (ii) a high-resolution nano-LC/LTQ/Orbitrap for confident identification of candidate peptides, (iii) an on-the-fly orthogonal array optimization (OAO) method for the high-throughput, accurate and reproducible optimization for numerous candidate peptides in a single LC/MS run without using synthesized peptides, (iv) a comprehensive evaluation of stability of candidates in matrix using the optimized SRM parameters, (v) the use of two unique SP for quantification of one mAb to gauge possible degradation/modification in biological system and thus enhancing data reliability (e.g. rejection of data if the deviation between the two SP is greater than 25%) and (vi) the utilization of purified target protein as the calibrator to eliminate the risk of severe negative biases that could occur when a synthesized peptide is used as calibrator. To show a proof of concept, this strategy is applied in the quantification of cT84.66, a chimeric, anti-CEA antibody, in preclinical mouse models. A low detection limit of the mAb down to 3.2 ng/mL was achieved, which is substantially more sensitive than established immunoassay methods for anti-CEA antibodies. The quantitative method showed good linearity (within the range of 12.9 ng/mL to 32.3 μg/mL in plasma), accuracy and precision. Additionally, the ultra-low sample consumption (2 μL plasma per preparation) permits the acquisition of an entire set of time course data from the same mouse, which represents a prominent advantage for PK study using small-animal models. The developed method enabled an accurate PK investigation of cT84.66 in mice following intravenous and subcutaneous administrations at relatively low doses over an extended period of time. The strategy employed in this study can be easily adapted to the sensitive and accurate analysis of other mAb and therapeutic proteins.

Indexed as

Amino Acid SequenceAnimalsAntibodies, MonoclonalChromatography, LiquidLinear ModelsMaleMass SpectrometryMiceMice, NudeMolecular Sequence DataNanotechnologyPeptide FragmentsProtein StabilityReproducibility of ResultsResearch DesignSensitivity and SpecificityAntibodies, MonoclonalPeptide Fragments

Identifiers

PMID22770385
PMCPMC4073258
OpenAlexW2052607927

What OpenQuestion holds

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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.