Evidence map›Paper›PMID 31215436›Full record

ArticleJournal of translational medicine2019

Development of a novel ssDNA aptamer targeting neutrophil gelatinase-associated lipocalin and its application in clinical trials.

Xiaoqian Hong, Huihui Yan, Fuan Xie, Kaiyu Wang, Qiang Wang, Huijuan Huang, Kunrong Yang, Suhong Huang, Tingting Zhao, Junkai Wang and 3 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

13 authors.

Xiaoqian HongInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Huihui YanInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Fuan XieInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Kaiyu WangInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Qiang WangDepartment of Nephrology, 900 Hospital of the Joint Logistics Team, Fuzhou, 350025, Fujian, China.
Huijuan HuangDepartment of Gynaecology and Obstetrics, 900 Hospital of the Joint Logistics Team or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Kunrong YangInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Suhong HuangDepartment of Laboratory Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China.
Tingting ZhaoInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Junkai WangSchool of Life Science, Xiamen University, Xiamen, 361102, Fujian, China.
Yunyun ChenInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China.
Kuancan LiuInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China. Liukuancan@163.com.ORCID 0000-0002-2470-7479
Xiaopeng LanInstitute for Laboratory Medicine, 900 Hospital of the Joint Logistics Team, Navy Medical University (Second Military Medical University) or Dongfang Hospital, Fuzhou, 350025, Fujian, China. Lanxp@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophil gelatinase-associated lipocalin (NGAL) is a promising biomarker of early diagnosis and prediction for acute kidney injury (AKI). However, the current program for NGAL detection is not extensively applied in clinics due to the high expense of antibodies. Nucleic acid aptamers are single-strand DNAs or RNAs which could bind to targets with high specificity and affinity, and they have been widely used in the diagnosis and therapy for multiple diseases. It is valuable for us to develop a new method for NGAL detection using aptamers instead of antibodies to achieve increased efficiency and decreased cost.

methodsNucleic acid aptamers against NGAL were obtained after SELEX process using magnetic beads, and an enzyme-linked aptamer analysis (ELAA), which can be widely used in clinical diagnosis at low cost, were successfully established. The feasibility of ELAA was further validated with urine samples harvested from 43 AKI patients and 30 healthy people.

resultsThree candidate aptamers, including NA36, NA42 and NA53, were obtained after 8 rounds of SELEX process with magnetic beads and verified by quantitative polymerase chain reaction (qPCR), and the Kd value of each aptamer was 43.59, 66.55 and 32.52 nM, respectively. Moreover, the linear relationship was consistent at the range of 125-4000 ng/mL, and the detection limit of ELAA assay was 30.45 ng/mL. We also found that NGAL could be exclusively detected with NA53, and no cross-reaction between NA53 and human albumin or globulin occurred, the coefficient of variation (CV) between inner-plate and inter-plate was less than 15%, and the recovery rate was between 80 and 110%. Moreover, the sensitivity and specificity of ELAA assay in this study are 100% and 90%, respectively. Consistently, these results could also diagnose whether the occurrence of AKI in lots of patients, which has been demonstrated with the ELAA method we established after using NA53.

conclusionsTaken together, NA53, the best candidate aptamer targeting NGAL protein, can be applied in clinical testing.

Indexed as

Diagnostic Techniques, UrologicalAcute Kidney InjuryAdolescentAdultAgedAptamers, NucleotideBiomarkersCase-Control StudiesCells, CulturedClinical Trials as TopicDNA, Single-StrandedEarly DiagnosisFemaleHEK293 CellsHumansLimit of DetectionAptamers, NucleotideBiomarkersDNA, Single-StrandedLCN2 protein, humanLipocalin-2Acute kidney injuryAptamersNGAL protein

Identifiers

PMID31215436
PMCPMC6582607

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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.