Evidence map›Paper›PMID 36311199›Full record

ArticleIranian journal of basic medical sciences2022

Identification of two neutralizing human single-chain variable fragment antibodies targeting

Somayeh Piri-Gavgani, Mostafa Ghanei, Abolfazl Fateh, Seyed Davar Siadat, Leila Nematollahi, Fatemeh Rahimi-Jamnani

Abstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Inhibitory effect of Jingfang mixture on Staphylococcus aureus α-hemolysin.World journal of microbiology & biotechnology · 2024
    Article
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.

Somayeh Piri-GavganiDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Mostafa GhaneiChemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Abolfazl FatehDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Seyed Davar SiadatDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Leila NematollahiBiotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Fatemeh Rahimi-JamnaniDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The inability of the host immune system to defeat Materials and Methods: A human single-chain variable fragment (scFv) phage display library was biopanned against alpha-hemolysin. The selected phage clones were assessed based on their binding ability to alpha-hemolysin. The binding specificity and affinity of two scFvs (designated SP192 and SP220) to alpha-hemolysin were determined by enzyme-linked immunosorbent assay. Furthermore, the neutralizing activity of SP192 and SP220 was examined by concurrent incubation of rabbit red blood cells (RBCs) with alpha-hemolysin and scFvs. Results: SP192 and SP220 showed significant binding to alpha-hemolysin compared with the control proteins, including bovine serum albumin, human adiponectin, and toxic shock syndrome toxin-1. Besides, both scFvs showed high-affinity binding to alpha-hemolysin in the nanomolar range (K Conclusion: SP192 and SP220 scFvs can potentially be used as alpha-hemolysin-neutralizing agents in conjunction with conventional antibiotics to combat S. aureus infections.

Indexed as

HemolysinsMonoclonal antibodySingle-chain variable – fragmentStaphylococcal infectionsStaphylococcus aureus

Identifiers

PMID36311199
PMCPMC9588317

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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.