Evidence map›Paper›PMID 30607320›Full record

ArticleIn silico pharmacology2018

lncRNA-based study of epigenetic regulations in diabetic peripheral neuropathy.

Muhamad Fachrul, Didik H Utomo, Arli A Parikesit

Abstract read
In one paragraph

Article in In silico pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Emerging Roles of Long Non-Coding RNAs in Diabetic Foot Ulcers.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Review
  5. Deregulated Expression of Long Non-coding RNA HOX Transcript Antisense RNA (HOTAIR) in Egyptian Patients with Multiple Myeloma.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2020
    Article
  6. 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

3 authors at 2 institutions in 1 country.

Muhamad FachrulBioinformatics Department, School of Life Sciences, Indonesia International Institute for Life Sciences, Jakarta, Indonesia.
Didik H Utomo2Biology Department, Faculty of Sciences, Brawijaya University, Malang, Indonesia.
Arli A ParikesitBioinformatics Department, School of Life Sciences, Indonesia International Institute for Life Sciences, Jakarta, Indonesia.
Indonesia International Institute for Life Sciences · IDUniversity of Brawijaya · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes remains one of the most prevalent non-communicable diseases in the world, affecting over 400 million of people worldwide, causing serious complications leading to amputations and even death. Over the years, researchers have found that, in addition to genomic mutations, epigenetic mechanisms also play a role in the development of diabetes-specifically type-2 diabetes. Long noncoding RNAs (lncRNAs) have been linked to mediate epigenetic mechanisms, including those in late-stage diabetes. This study attempts to assess the unexplored topic of how lncRNAs could be used to assess the epigenetic mechanisms present in diabetic peripheral neuropathy (DPN); a serious complication of the disease often leading to amputation. Differential lncRNA expression analysis was done with a dataset containing DPN and healthy patients. Standard and corrected t test, and also LIMMA was applied. Results of this study indicates the usefulness of lncRNAs as an exploratory tool to elucidate the complexity of the epigenetic mechanisms of human DPN.

Indexed as

EpigeneticIn SilicolncRNAType-2 diabetes

Identifiers

PMID30607320
PMCPMC6314784
OpenAlexW2796312010

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.