Evidence map›Paper›PMID 31614869›Full record

ArticleInternational journal of molecular sciences2019

Generation of a Nebulizable CDR-Modified MERS-CoV Neutralizing Human Antibody.

Sang Il Kim, Sujeong Kim, Jinhee Kim, So Young Chang, Jung Min Shim, Jongwha Jin, Chungsu Lim, Songyi Baek, Ji-Young Min, Wan Beom Park and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Stereotypic neutralizing VScience translational medicine · 2021
    Article
  3. Review
  4. 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

13 authors at 2 institutions in 1 country.

Sang Il KimDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Korea. sangk1128@snu.ac.kr.
Sujeong KimDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Korea. sujeong5425@snu.ac.kr.
Jinhee KimRespiratory Virus Laboratory, Institut Pasteur Korea, Gyeonggi-do 13488, Korea. jinhee.kim@ip-korea.org.
So Young ChangRespiratory Virus Laboratory, Institut Pasteur Korea, Gyeonggi-do 13488, Korea. soyoung.chang@ip-korea.org.
Jung Min ShimZoonotic Virus Laboratory, Institut Pasteur Korea, Gyeonggi-do 13488, Korea. jungmin.shim@ip-korea.org.
Jongwha JinNew Drug Development Center, 123 Osongsaengmyeng-ro, Cheongju-si, Chungbuk 28160, Korea. jichang011@kbiohealth.kr.
Chungsu LimNew Drug Development Center, 123 Osongsaengmyeng-ro, Cheongju-si, Chungbuk 28160, Korea. opern88@kbiohealth.kr.
Songyi BaekNew Drug Development Center, 123 Osongsaengmyeng-ro, Cheongju-si, Chungbuk 28160, Korea. bettysongyi1@kbiohealth.kr.
Ji-Young MinRespiratory Virus Laboratory, Institut Pasteur Korea, Gyeonggi-do 13488, Korea. ji-young.x.min@gsk.com.
Wan Beom ParkDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Korea. wbpark1@snu.ac.kr.
Myoung-Don OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Korea. mdohmd@snu.ac.kr.
Seungtaek KimZoonotic Virus Laboratory, Institut Pasteur Korea, Gyeonggi-do 13488, Korea. seungtaek.kim@ip-korea.org.
Junho ChungDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 03080, Korea. jjhchung@snu.ac.kr.
Institut Pasteur Korea · KRSeoul National University · KR

Funding

National Research Foundation of Korea NRF-2016M3A9B6918973, 2016M3A9B6918984 and 2017M3A9G6068245
6 · The paper itself

Abstract

Middle East respiratory syndrome coronavirus (MERS-CoV) induces severe aggravating respiratory failure in infected patients, frequently resulting in mechanical ventilation. As limited therapeutic antibody is accumulated in lung tissue following systemic administration, inhalation is newly recognized as an alternative, possibly better, route of therapeutic antibody for pulmonary diseases. The nebulization process, however, generates diverse physiological stresses, and thus, the therapeutic antibody must be resistant to these stresses, remain stable, and form minimal aggregates. We first isolated a MERS-CoV neutralizing antibody that is reactive to the receptor-binding domain (RBD) of spike (S) glycoprotein. To increase stability, we introduced mutations into the complementarity-determining regions (CDRs) of the antibody. In the HCDRs (excluding HCDR3) in this clone, two hydrophobic residues were replaced with Glu, two residues were replaced with Asp, and four residues were replaced with positively charged amino acids. In LCDRs, only two Leu residues were replaced with Val. These modifications successfully generated a clone with significantly greater stability and equivalent reactivity and neutralizing activity following nebulization compared to the original clone. In summary, we generated a MERS-CoV neutralizing human antibody that is reactive to recombinant MERS-CoV S RBD protein for delivery via a pulmonary route by introducing stabilizing mutations into five CDRs.

Indexed as

Administration, InhalationAnimalsAntibodies, NeutralizingAntibodies, ViralChlorocebus aethiopsComplementarity Determining RegionsHumansMiddle East Respiratory Syndrome CoronavirusVero CellsAntibodies, NeutralizingAntibodies, ViralComplementarity Determining Regionsaerosol deliveryantibody engineeringcomplementarity-determining regionsMERS-CoVnebulizerneutralizing antibodypulmonary disease

Identifiers

PMID31614869
PMCPMC6829326
OpenAlexW2979585657

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.