Evidence map›Paper›PMID 30733760›Full record

ArticleJournal, genetic engineering & biotechnology2018

Expression, purification and biological characterisation of recombinant human irisin (12.5 kDa).

Kalpana Panati, Venkata Ramireddy Narala, Vydyanath R Narasimha, Madhavi Derangula, Venkat R R Arva Tatireddigari, Suneetha Yeguvapalli

Open access · diamondAbstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2018. 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
1.0field-weighted citation impact, top 25% 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, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Irisin, Exercise, and COVID-19.Frontiers in endocrinology · 2022
    Review
  6. Article
  7. Biological Aspects of Selected Myokines in Skeletal Muscle: Focus on Aging.International journal of molecular sciences · 2021
    Review
  8. Review
  9. Review
  10. Irisin and Autophagy: First Update.International journal of molecular sciences · 2020
    Review
  11. Article
  12. 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

6 authors at 2 institutions in 1 country.

Kalpana PanatiDepartment of Biotechnology, Government College for Men, Kadapa, AP 516 004, India.
Venkata Ramireddy NaralaDepartment of Zoology, Yogi Vemana University, Kadapa, AP 516 005, India.
Vydyanath R NarasimhaDepartment of Zoology, Yogi Vemana University, Kadapa, AP 516 005, India.
Madhavi DerangulaDepartment of Zoology, Yogi Vemana University, Kadapa, AP 516 005, India.
Venkat R R Arva TatireddigariDepartment of Zoology, Yogi Vemana University, Kadapa, AP 516 005, India.
Suneetha YeguvapalliDepartment of Zoology, Sri Venkateswara University, Tirupati, AP 517 502, India.
Yogi Vemana University · INSri Venkateswara University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibronectin type III domain containing 5 (FNDC5) is a transmembrane protein. Upon cleavage, it yields a peptide called irisin that is supposedly bind to an unknown receptor and facilitates browning of white adipose tissue (WAT). Increased levels of irisin are associated with increased levels of energy expenditure markers PGC-1α, UCP-1, besides abundance of beige adipocytes in WAT. Though varied sizes of irisin were reported in humans and rodents it is not yet clear about the actual size of the irisin produced physiologically. Hence, we cloned and expressed human irisin (32-143 aa of FNDC5) in

Indexed as

Beige adipose tissueEnergy expenditureFNDC5IrisinObesityUCP-1

Identifiers

PMID30733760
PMCPMC6354006
OpenAlexW2811255015

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.