Evidence map›Paper›PMID 39012550›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2024

A novel quantitative double antigen sandwich ELISA for detecting total antibodies against Candida albicans enolase 1.

Lihui Wang, Zongzhong He, Yiyang Guo, Xiangyang Ran, Yan Cheng, Zhengxin He

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Lihui WangDepartment of Nephrology, Bethune International Peace Hospital, No.398 West Zhongshan Road, Shijiazhuang, Hebei, 050082, P.R. China.
Zongzhong HeBlood Transfusion, Southern Theater General Hospital, No.111 Liuhua Road, Guangzhou, 510180, P.R. China.
Yiyang GuoLaboratory Medicine, Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, Hebei, 050011, P.R. China.
Xiangyang RanLaboratory Medicine, Bethune International Peace Hospital, No.398 West Zhongshan Road, Shijiazhuang, Hebei, 050082, P.R. China.
Yan ChengBasic Medicine Laboratory, Bethune International Peace Hospital, No.398 West Zhongshan Road, Shijiazhuang, Hebei, 050082, P.R. China.
Zhengxin HeBasic Medicine Laboratory, Bethune International Peace Hospital, No.398 West Zhongshan Road, Shijiazhuang, Hebei, 050082, P.R. China. hezx1979@126.com.

Funding

Natural Science Foundation of Hebei Province C2021505001
6 · The paper itself

Abstract

purposeThis study aimed to develop a double antigen sandwich ELISA (DAgS-ELISA) method for more efficient, accurate, and quantitative detection of total antibodies against Candida albicans enolase1 (CaEno1) for diagnosing invasive candidiasis (IC).

methodsDAgS-ELISA was developed using recombinant CaEno1 and a monoclonal antibody as the standard. Performance evaluation included limit of detection, accuracy, and repeatability. Dynamic changes in antibody levels against CaEno1 in serum from systemic candidiasis mice were analyzed using DAgS-ELISA. Patient serum samples from IC, Candida colonization, bacterial infections, and healthy controls were analyzed with DAgS-ELISA and indirect ELISA.

resultsDAgS-ELISA outperformed indirect ELISA in terms of linear range and test background. In systemic candidiasis mice, a distinctive 'double-peak' pattern in dynamic antibody levels was observed. Additionally, there was a high level of consistency in the positive rates of CaEno1 antibodies detected by both DAgS-ELISA and indirect ELISA. While the positivity rates differed among patient groups, no significant variations in antibody levels were detected among the various positive patient groups.

conclusionsDAgS-ELISA offers a reliable novel approach for IC diagnosis, enabling rapid, accurate, and quantitative detection of CaEno1 antibodies. Further validation and optimization are needed for its clinical application and effectiveness.

Indexed as

Antibodies, FungalCandida albicansEnzyme-Linked Immunosorbent AssayPhosphopyruvate HydrataseAnimalsAntibodies, MonoclonalAntigens, FungalCandidiasisCandidiasis, InvasiveFemaleFungal ProteinsHumansMiceMice, Inbred BALB CSensitivity and SpecificityAntibodies, FungalAntibodies, MonoclonalAntigens, FungalFungal ProteinsPhosphopyruvate HydrataseAntibody quantitative detectionCandida albicans enolaseDouble antigen sandwich ELISAInvasive candidiasisSerological diagnosis

Identifiers

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.