Evidence map›Paper›PMID 28025511›Full record

ArticleInternational journal of molecular sciences2016

Immunological Roles of Elevated Plasma Levels of Matricellular Proteins in Japanese Patients with Pulmonary Tuberculosis.

Beata Shiratori, Jingge Zhao, Masao Okumura, Haorile Chagan-Yasutan, Hideki Yanai, Kazue Mizuno, Takashi Yoshiyama, Tadashi Idei, Yugo Ashino, Chie Nakajima and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Lung Diseases: Chronic Respiratory Infections.International journal of molecular sciences · 2018
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

12 authors at 4 institutions in 1 country.

Beata ShiratoriDivision of Disaster-Related Infectious Diseases, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan. beatabucekova@gmail.com.
Jingge ZhaoDivision of Disaster-Related Infectious Diseases, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan. zhaojingge1987@gmail.com.
Masao OkumuraDepartment of Respiratory Medicine, Fukujuji Hospital, Japan Anti-Tuberculosis Association, 3-1-24 Matsuyama, Kiyose, Tokyo 204-8533, Japan. okumuram@fukujuji.org.
Haorile Chagan-YasutanDivision of Disaster-Related Infectious Diseases, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan. haorile@gmail.com.
Hideki YanaiDepartment of Clinical Laboratory, Fukujuji Hospital, Japan Anti-Tuberculosis Association, 3-1-2 4 Matsuyama, Kiyose, Tokyo 204-8533, Japan. yanaih@fukujuji.org.
Kazue MizunoDepartment of Clinical Laboratory, Fukujuji Hospital, Japan Anti-Tuberculosis Association, 3-1-2 4 Matsuyama, Kiyose, Tokyo 204-8533, Japan. hiralin99@yahoo.co.jp.
Takashi YoshiyamaDepartment of Respiratory Medicine, Fukujuji Hospital, Japan Anti-Tuberculosis Association, 3-1-24 Matsuyama, Kiyose, Tokyo 204-8533, Japan. yoshiyamat@fukujuji.org.
Tadashi IdeiDepartment of Clinical Laboratory, Fukujuji Hospital, Japan Anti-Tuberculosis Association, 3-1-2 4 Matsuyama, Kiyose, Tokyo 204-8533, Japan. ideit@fukujuji.org.
Yugo AshinoDivision of Disaster-Related Infectious Diseases, International Research Institute of Disaster Science, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi 980-8575, Japan. ya82@yahoo.co.jp.
Chie NakajimaDivision of Global Epidemiology, Research Center for Zoonosis Control, Hokkaido University, North 20, West 10, Kita-ku, Sapporo, Hokkaido 001-0020, Japan. cnakajim@czc.hokudai.ac.jp.
Yasuhiko SuzukiDivision of Global Epidemiology, Research Center for Zoonosis Control, Hokkaido University, North 20, West 10, Kita-ku, Sapporo, Hokkaido 001-0020, Japan. suzuki@czc.hokudai.ac.jp.
Toshio HattoriDepartment of Health Science and Social Welfare, Kibi International University, 8 Igamachi, Takahashi 716-8508, Japan. hattorit@kiui.ac.jp.
Japan Anti Tuberculosis Association · JPTohoku University · JPHokkaido University · JPKibi International University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated matricellular proteins (MCPs), including osteopontin (OPN) and galectin-9 (Gal-9), were observed in the plasma of patients with Manila-type tuberculosis (TB) previously. Here, we quantified plasma OPN, Gal-9, and soluble CD44 (sCD44) by enzyme-linked immunosorbent assay (ELISA), and another 29 cytokines by Luminex assay in 36 patients with pulmonary TB, six subjects with latent tuberculosis (LTBI), and 19 healthy controls (HCs) from Japan for a better understanding of the roles of MCPs in TB. All TB subjects showed positive results of enzyme-linked immunospot assays (ELISPOTs). Spoligotyping showed that 20 out of 36

Indexed as

AdultAgedFemaleGalectinsHumansHyaluronan ReceptorsJapanMaleMiddle AgedMycobacterium tuberculosisOsteopontinTuberculosis, PulmonaryGalectinsHyaluronan ReceptorsOsteopontinBeijing genotype MTBCD44galectin-9osteopontintuberculosis

Identifiers

PMID28025511
PMCPMC5297654
OpenAlexW2562754761

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.