Evidence map›Paper›PMID 34722780›Full record

Observational studyJournal of immunology research2021

IFI44L as a Forward Regulator Enhancing Host Antituberculosis Responses.

Haiqin Jiang, Lemuel Tsang, Hongsheng Wang, Changhong Liu

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of immunology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. IFIT2-induced transcriptomic changes inFrontiers in cellular and infection microbiology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. UnravelingFrontiers in oncology · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. microLife · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. 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

4 authors at 3 institutions in 2 countries.

Haiqin JiangState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.
Lemuel TsangCollege of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Hongsheng WangInstitute of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, China.
Changhong LiuState Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing, China.ORCID https://orcid.org/0000-0003-3960-0989
Nanjing University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Tennessee Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interferon-induced protein 44-like (IFI44L) gene is a type I interferon-stimulated gene (ISG) that plays a critical role in antiviral activity and constitutes a promising diagnostic marker. However, its precise role and function in tuberculosis have not been unveiled. This study showed that IFI44L acts as an antimicrobial target and positive modulator in human macrophages. Knockdown of IFI44L led to increased

Indexed as

Antitubercular AgentsBiomarkersDrug MonitoringGene Knockdown TechniquesHost-Pathogen InteractionsHumansMacrophagesMycobacterium tuberculosisPrimary Cell CultureRifampinSignal TransductionTHP-1 CellsTreatment OutcomeTuberculosis, CutaneousTumor Suppressor ProteinsAntitubercular AgentsBiomarkersIFI44L protein, humanRifampinTumor Suppressor Proteins

Identifiers

PMID34722780
PMCPMC8550841
OpenAlexW3206697605

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.