Evidence map›Paper›PMID 40888416›Full record

ArticleAnalytical chemistry2025

A Novel Hybrid LC-MS/MS Methodology for the Quantitative Bioanalysis of Antibody-siRNA Conjugates.

Zifeng Song, Long Yuan

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Zifeng SongDrug Metabolism and Pharmacokinetics, Biogen, 225 Binney Street, Cambridge, Massachusetts 02142, United States.ORCID 0000-0001-9286-935X
Long YuanDrug Metabolism and Pharmacokinetics, Biogen, 225 Binney Street, Cambridge, Massachusetts 02142, United States.ORCID 0000-0003-1863-2308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small interfering RNA (siRNA) is a new class of oligonucleotide therapeutics that is rapidly growing in drug research and development for the treatment of various diseases. One major challenge for siRNA therapeutics is their inefficient delivery to target tissues by systemic administration. Antibody-siRNA conjugates (ARC) are being developed as a promising approach to enhancing the selectivity and delivery of siRNA payloads to target tissues. A sensitive, selective, and reliable method to quantify ARCs in biological samples is critical to understand their pharmacokinetics, pharmacodynamics, toxicity, and biodistribution properties. There are very limited methods reported for the quantification of ARCs, including reverse transcription-quantitative polymerase chain reaction (RT-qPCR) or hybridization enzyme linked immunosorbent assay (hELISA); however, these methods were still proof-of-concept or suffered from poor specificity or assay performance. LC-MS/MS has been used for the quantification of various modalities, including siRNA or oligonucleotides. The technique offers unique advantages of high specificity, fast method development, and robust assay performance. However, no LC-MS/MS-based method has been reported for the quantitative bioanalysis of ARCs. In this work, we developed a novel hybrid LC-MS/MS methodology for the quantification of ARCs using Ab-siRNA01, an antibody-siRNA conjugate, as the test compound. An antihuman IgG antibody was used as the capture antibody to selectively extract the target ARC analyte from the serum samples. The optimized hybrid LC-MS/MS method was successfully qualified for the quantitation of Ab-siRNA01 in mouse serum over the range of 6.70-3350 ng/mL. The developed method was used to support pharmacokinetic studies of Ab-siRNA01 in mice. This work is the first instance where a hybrid LC-MS/MS method was developed and applied to the quantification of antibody-siRNA conjugates. This novel methodology can also be applied to other ARCs and significantly facilitates their research and development.

Indexed as

AntibodiesImmunoconjugatesRNA, Small InterferingTandem Mass SpectrometryAnimalsChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryMiceAntibodiesImmunoconjugatesRNA, Small Interfering

Identifiers

PMID40888416
PMCPMC12444745

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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.