Evidence map›Paper›PMID 21556758›Full record

ArticleMolecular biology reports2012

Type 17 T-helper cells might be a promising therapeutic target for osteoporosis.

Feng-Lai Yuan, Xia Li, Wei-Guo Lu, Yi-Qing Zhao, Cheng-Wan Li, Jian-Ping Li, Jun-Ming Sun, Rui-Sheng Xu

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Bone disease in cystic fibrosis: new pathogenic insights opening novel therapies.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Review
  7. Review
  8. Review
  9. Th17 and Treg cells in bone related diseases.Clinical & developmental immunology · 2013
    Review
  10. Review
  11. Review
  12. 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

8 authors at 2 institutions in 1 country.

Feng-Lai YuanCentral Laboratory, The Third Hospital Affiliated to Nantong University, Wuxi, 214041, Jiangsu, China. bjjq88@163.com
Xia Li
Wei-Guo Lu
Yi-Qing Zhao
Cheng-Wan Li
Jian-Ping Li
Jun-Ming Sun
Rui-Sheng Xu
Wuxi Third People's Hospital · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis, a disease characterized by low bone mass and deterioration of bone tissue, is a pressing public health problem. Recent studies have suggested a possible role of T-helper (Th) cells in the pathogenesis of bone loss which occurs in systemic inflammatory diseases. However, there are contradictions in the published literature regarding the functional role of Th1/Th2 cells in the regulation of the differentiation of osteoclasts. These paradoxes have now been clarified by the recent discovery of Th17 cells, a novel subset of Th cells that selectively secrete several proinflammatory cytokines, mainly IL-17. It has been confirmed that Th17 cells have stimulatory effects on osteoclastogenesis and accelerate bone loss in animal models with inflammatory disorders. Targeting Th17 cells or IL-17 may inhibit the bone resorption with RA. Thus, we are led to suppose that Th17 cells might be promising therapeutic targets in osteoporosis.

Indexed as

Models, BiologicalBone ResorptionCell DifferentiationHumansInterleukin-17OsteoclastsOsteoporosisTh17 CellsTh1 CellsTh2 CellsInterleukin-17

Identifiers

PMID21556758
OpenAlexW1994860745

What OpenQuestion holds

Textmetadata
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.