ArticleBMC genomics2025
Differential roles of coding and non-coding transcripts in obesity: insights from RNA-seq analysis of Macaca fascicularis hepatocytes.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Long non-coding RNAs (lncRNAs) can regulate metabolism-associated genes and cooperate to activate obesity-related pathways. However, the role of lncRNAs in obesity-related diabetes is not clear. To address this, we analyzed the hepatic transcriptomes of diabetic and non-diabetic Cynomolgus monkeys (Macaca fascicularis) using next-generation sequencing (NGS). Our findings demonstrate that coding and non-coding RNAs exhibit distinct patterns of expression, with coding mRNAs notably enriched for metabolic pathways and particularly lipid transport. At the same time, the expression of genes related to alcohol metabolism was suppressed in diabetic samples compared with normal samples. This study expands the understanding of the molecular underpinnings behind obesity and suggests possible avenues for precision treatment approaches that target metabolic diseases.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.