Evidence map›Paper›PMID 36454469›Full record

ArticleAdvances in experimental medicine and biology2023

Genomic Editing and Diabetes.

Parth Shah

Abstract read
PubMed Publisher
In one paragraph

Article in Advances in experimental medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 66% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Parth ShahObvioHealth, New York, NY, USA. prshah06@gmail.com.
EcoHealth Alliance · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diabetes types and its complications have varying developmental and metabolic pathways. There is an interplay of nongenetic and genetic components in pathogenesis of diabetes and its complications. There are several established genes such as ABCC8, TCF7L2, SLC2A2, and CAPN10 which are known to influence blood insulin and glucose levels. Current management of diabetes types may include lifetime burdensome use of insulin, insulin sensitizers, insulin secretagogues, etc. There has been increasing interest in improving genetic editing tools such as CRISPR/Cas9 and using genetically edited stem cells to alter diabetes disease course or possibly cure it. Current research on microRNAs and long noncoding RNAs may provide insights into the pathways involved in development of diabetes and its complications. Consequently, developing further understanding of genetics and its messenger pathways in diabetes would enhance our ability to develop precise and accurate genetic editing tools which can translate into clinically useful therapeutics.

Indexed as

Diabetes MellitusRNA, Long NoncodingGene EditingGenomicsHumansInsulinInsulinRNA, Long NoncodingCRISPR/Cas9DiabetesGenetic editingLong noncoding RNAMicroRNA

Identifiers

PMID36454469
OpenAlexW4310500231

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.