Evidence map›Paper›PMID 26462747›Full record

ArticlePhysiological reports2015

The non-antibiotic macrolide EM900 inhibits rhinovirus infection and cytokine production in human airway epithelial cells.

Nadine Lusamba Kalonji, Kazuhiro Nomura, Tetsuaki Kawase, Chiharu Ota, Hiroshi Kubo, Takeya Sato, Teruyuki Yanagisawa, Toshiaki Sunazuka, Satoshi Ōmura, Mutsuo Yamaya

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Effective drugs used to combat SARS-CoV-2 infection and the current status of vaccines.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. The non-antibiotic macrolide EM900 attenuates HDM and poly(I:C)-induced airway inflammation with inhibition of macrophages in a mouse model.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2020
    Article
  8. Article
  9. 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

10 authors at 3 institutions in 1 country.

Nadine Lusamba KalonjiDepartment of Advanced Preventive Medicine for Infectious Disease, Tohoku University Graduate School of Medicine, Sendai, Japan Department of Molecular Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kazuhiro NomuraDepartment of Otolaryngology-Head and Neck Surgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tetsuaki KawaseLaboratory of Rehabilitative Auditory Science, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan.
Chiharu OtaDepartment of Advanced Preventive Medicine for Infectious Disease, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hiroshi KuboDepartment of Advanced Preventive Medicine for Infectious Disease, Tohoku University Graduate School of Medicine, Sendai, Japan.
Takeya SatoDepartment of Molecular Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Teruyuki YanagisawaDepartment of Molecular Pharmacology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Toshiaki SunazukaKitasato Institute for Life Sciences, Kitasato University, Tokyo, Japan Graduate School of Infection Control Sciences, Kitasato University, Tokyo, Japan.
Satoshi ŌmuraKitasato Institute for Life Sciences, Kitasato University, Tokyo, Japan.
Mutsuo YamayaDepartment of Advanced Preventive Medicine for Infectious Disease, Tohoku University Graduate School of Medicine, Sendai, Japan myamaya@med.tohoku.ac.jp.
Tohoku University · JPKitasato Institute Hospital · JPKitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The anti-inflammatory effects of macrolides may be associated with a reduced frequency of exacerbation of chronic obstructive pulmonary disease (COPD). However, because the long-term use of antibiotics may promote the growth of drug-resistant bacteria, the development of a treatment to prevent COPD exacerbation with macrolides that do not exert anti-bacterial effects is necessary. Additionally, the inhibitory effects of nonantibiotic macrolides on the replication of rhinovirus (RV), which is the major cause of COPD exacerbation, have not been demonstrated. Primary cultures of human tracheal epithelial cells and nasal epithelial cells were pretreated with the nonantibiotic macrolide EM900 for 72 h prior to infection with a major group RV type 14 rhinovirus (RV14) and were further treated with EM900 after infection. Treatment with EM900 before and after infection reduced RV14 titers in the supernatants and viral RNA within the cells. Moreover, cytokine levels, including interleukin (IL)-1β and IL-6, were reduced in the supernatants following RV14 infection. Treatment with EM900 before and after infection also reduced the mRNA and protein expression of intercellular adhesion molecule-1 (ICAM-1), which is the receptor for RV14, after infection and reduced the activation of the nuclear factor kappa-B protein p50 in nuclear extracts after infection. Pretreatment with EM900 reduced the number and fluorescence intensity of the acidic endosomes through which RV RNA enters the cytoplasm. Thus, pretreatment with EM900 may inhibit RV infection by reducing the ICAM-1 levels and acidic endosomes and thus modulate the airway inflammation associated with RV infections.

Indexed as

Airway epithelial cellCOPDEM900inflammationrhinovirus

Identifiers

PMID26462747
PMCPMC4632947
OpenAlexW2320505001

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.