Evidence map›Paper›PMID 35083511›Full record

ArticleAnalytical and bioanalytical chemistry2022

Screening of monoclonal antibodies against specific phosphonylation sites and analysis of serum samples exposed to soman and VX using an indirect competitive enzyme-linked immunosorbent assay.

Qiao Lv, Hui-Lan Yu, Yang Yang, Fan-Hua Meng, Xian-Dong Dai, Pei-Yu Jiang, Chang-Cai Liu

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 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
1.5field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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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

7 authors at 2 institutions in 2 countries.

Qiao LvState Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
Hui-Lan YuState Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China. yuhuilan1@163.com.
Yang YangState Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
Fan-Hua MengState Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
Xian-Dong DaiState Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
Pei-Yu JiangState Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
Chang-Cai LiuState Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China. liuchangcai@sklnbcpc.cn.
China National Petroleum Corporation (China) · CNInstitute of Plant Protection · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organophosphorus nerve agents (OPNAs) covalently bind to tyrosine 411 of human serum albumin (HSA) and the formed adducts are stable biomarkers of OPNA exposure. The detection of these adducts has been limited to mass spectrometry techniques combined with protein digestion. Here, we developed indirect competitive ELISA (icELISA) methods to verify OPNA exposure by the detection of OPNA-phosphonylated adducts at tyrosine 411 residue (OPNA-HSA adducts), in which monoclonal antibodies (mAbs) against phosphonylation sites at tyrosine 411 were introduced. The two mAbs were prepared by the fourth generation of rabbit mAb technology using the phosphonylated peptides of LVRY

Indexed as

SomanAnimalsAntibodies, MonoclonalEnzyme-Linked Immunosorbent AssayOrganothiophosphorus CompoundsRabbitsRetrospective StudiesAntibodies, MonoclonalOrganothiophosphorus CompoundsSomanVX-agentAlbumin adductCompetitive ELISAImmunodetectionOrganophosphorus nerve agentsRecombinant monoclonal antibody

Identifiers

PMID35083511
OpenAlexW4210498514

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.