ArticleBMC genomics2025
Integrated HS-SPME-GC/MS and RNA sequencing analysis reveals metabolic differences of flavor compounds of muscle tissues with different intramuscular fat contents from Tibetan sheep.
Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Untargeted metabolomic comparison of breast muscle metabolites between Cobb broilers and local chicken breeds.Poultry science · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundA key factor used to evaluate the quality of meat is intramuscular fat (IMF) content, which has a strong association with the flavor of meat. To date, however, the influence of IMF content on the volatile profiles of ovine meat has not been clarified.
resultsWe used headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS) to study the aroma characteristics of low-IMF (L-IMF) and high-IMF (H-IMF) content in muscle tissue and to identify volatile compounds in L-IMF and H-IMF groups. Thirteen of 557 volatile compounds identified were significantly different between the groups (Odor Activity Values > 1, VIP values > 1), of which aldehydes, ketones, and esters were the predominant volatile compounds. We conducted RNA-seq analysis and found 985 differentially expressed genes (DEGs) in the L-IMF and H-IMF groups. The weighted gene coexpression network analysis (WGCNA) showed that DEGs associated with muscle aroma characteristics were enriched in lipolysis regulation in adipocytes, PPAR signaling, AMPK signaling, arachidonic acid metabolism, and the biosynthesis of unsaturated fatty acids (UFAs). These pathways played a role in regulating energy metabolism and muscle lipid metabolism functions in Tibetan sheep. The combined results of DEGs, WGCNA, and gene-aroma compound interactions revealed ADIPOQ, FABP4, FADS2, GPD2, HSL, LEP, PEPCK and PLIN4 to be potential candidate genes affecting IMF and aroma compounds content.
conclusionIn this study, we established profiles of the transcriptome and volatile compounds of L-IMF and H-IMF ovine muscle tissues. The findings suggested that HSL, FABP4 and PLIN4, along with the lipolysis regulation in adipocytes and PPAR signaling pathways, contributed to the difference in lipid metabolism within muscle tissues, and biosynthesis of the UFA pathway may influence the production of volatile compound precursors in muscles. These results offer important information about regulating genes that pertain to ovine meat flavor compounds.
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.