Evidence map›Paper›PMID 25216761›Full record

ArticleJournal of translational medicine2014

Detection of cystatin C biomarker for clinical measurement of renal disease by developed ELISA diagnostic kits.

Renren Jiang, Chao Xu, Xiaoli Zhou, Tianhao Wang, Gang Yao

Abstract read
In one paragraph

Article in Journal of translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022
    Pooled it
  2. Review
  3. 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

5 authors.

Renren Jiang
Chao Xu
Xiaoli Zhou
Tianhao WangKey Laboratory for Food Safety Research, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China. tianhao74@hotmail.com.
Gang Yao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman cystatin C (HCC) is a potential biomarker for tubular damage and impaired renal function. It is difficult to obtain efficient paired monoclonal antibodies against HCC with low molecular to meet the requirements for clinical application The present study was to establish a stable and repeatable measurement for HCC with self-made monoclonal antibodies (McAbs) and Variable domain of heavy chain of heavy-chain antibody (VHHs) increase the sensitivity.

methodsWith hybridoma technology and phage display technology: R-HCC as a screening antigen and N-HCC as the detector for antigens to obtain the specific antibody and established an enzyme-linked immunosorbent assay for human cystatin C using self-made McAbs and VHHs.

resultsWe have successfully obtained three McAbs; 5 F2, 4E4, 1E11 and four VHHs; 3-2, 3-24, 3-33 and 4-5 which were specific for HCC. The measurement of HCC was established with the self-made monoclonal antibodies and VHHs with a high sensitivity the lower limit of detection at 0.5 ng/ml and the detection range at 0.5 ~ 31.3 ng/ml.

conclusionOur data provides a new approach for paired antibody screening and testing of the small molecular biomarker with a single dominant epitope, with the important biological and clinical significance.

Indexed as

Reagent Kits, DiagnosticAmino Acid SequenceAnimalsBiomarkersCell LineCystatin CEnzyme-Linked Immunosorbent AssayFemaleHistidineHumansImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionKidney DiseasesMice, Inbred BALB CMolecular Sequence DataOligopeptidesBiomarkersCystatin CHis-His-His-His-His-HisHistidineImmunoglobulin Heavy ChainsImmunoglobulin Variable RegionOligopeptidesReagent Kits, DiagnosticRecombinant Fusion Proteins

Identifiers

PMID25216761
PMCPMC4262383

What OpenQuestion holds

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LicenceCC BY
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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.