Evidence map›Paper›PMID 35456876›Full record

ArticleMicroorganisms2022

Shohei Satomi, Daichi Kokubu, Takuro Inoue, Masaya Sugiyama, Masashi Mizokami, Shigenori Suzuki, Kazumoto Murata

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 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
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Shohei SatomiDepartment of Nature & Wellness Research, Innovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Tochigi, Japan.ORCID 0000-0003-1337-8742
Daichi KokubuDepartment of Nature & Wellness Research, Innovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Tochigi, Japan.
Takuro InoueDepartment of Nature & Wellness Research, Innovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Tochigi, Japan.ORCID 0000-0001-7829-0640
Masaya SugiyamaGenome Medical Science Project, National Center for Global Health and Medicine, 1-7-1 Kohnodai, Ichikawa 272-8516, Chiba, Japan.
Masashi MizokamiGenome Medical Science Project, National Center for Global Health and Medicine, 1-7-1 Kohnodai, Ichikawa 272-8516, Chiba, Japan.
Shigenori SuzukiDepartment of Nature & Wellness Research, Innovation Division, KAGOME CO., LTD., 17 Nishitomiyama, Nasushiobara 329-2762, Tochigi, Japan.
Kazumoto MurataGenome Medical Science Project, National Center for Global Health and Medicine, 1-7-1 Kohnodai, Ichikawa 272-8516, Chiba, Japan.
National Center for Global Health and Medicine · JPJichi Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between lactic acid bacteria (LAB) and their immunostimulatory effects has attracted considerable attention; however, it remains unclear whether LAB can induce interferon-lambdas (IFN-λs) in human epithelial cells under conditions that do not mimic infection. In this study, we first employed a reporter assay to screen for a potential strain capable of inducing IFN-λ3 among 135 LAB strains derived from traditional Japanese pickles. Next, we assessed the strain's ability to induce the expression of IFN-λ genes and interferon-stimulated genes (ISGs), and to produce IFN-λs. As a result, we screened and isolated

Indexed as

Enterococcus casseliflavus KB1733heat-killed bacteriainterferon-lambdapicklesscreening

Identifiers

PMID35456876
PMCPMC9029449
OpenAlexW4224300872

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.