Untargeted LC–MS metabolomics approach reveals metabolic changes in genetically improved farmed tilapia (<i>Oreochromis niloticus</i>) with fatty liver induced by a high‐fat diet

Tao, Yifan; Qiang, Jun; Zhu, Haojun; Bao, Jing‐Wen; Xu, Pao

doi:10.1111/are.14929

Cited by 15 publications

(8 citation statements)

References 53 publications

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“…Hepatic steatosis ( i.e . , abnormal lipid accumulation) is commonly seen in farmed fish and may in some cases represent a pathological condition 67,68 . Again, balancing dietary P:E involves some trade‐offs between dietary protein utilisation efficiency, fillet yield, and possibly fish health.…”

Section: Discussionmentioning

confidence: 99%

Balancing protein and energy in Nile tilapia feeds: A meta‐analysis

Konnert

Gerrits

Gussekloo

et al. 2022

Reviews in Aquaculture

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Farmed fish are increasingly grown in intensive and semi-intensive systems where most nutrients are provided by formulated feeds. These are formulated to minimise costs and optimise growth, notably the rate of muscle protein synthesis (i.e., fillet). Protein synthesis depends on the availability of amino acids (i.e., protein) and energy. Thus, fish feeds are often formulated to provide a balanced ratio of protein to energy (P:E). Above and below the optimal dietary P:E, absorbed protein and energy are expected to be underutilised for body protein synthesis, respectively. Estimates of the optimal dietary P:E vary largely for Nile tilapia (Oreochromis niloticus (L., 1758)). Published values range from 13 to 26 g of dietary protein per MJ of energy. Here, we challenge the idea that growth, protein utilisation efficiency and body composition can all be simultaneously optimised, when Nile tilapia are fed an optimal dietary P:E. Through linear and non-linear regression meta-analyses, we quantitatively describe the effects of protein and energy intake on nutrient partitioning, feed efficiency and growth. We find linear relationships between the dietary P:E and protein retention efficiency. The lack of an inflection contradicts the existence of an optimal P:E. Our regressions of protein and energy intake versus protein gain, indicate that protein gain is often simultaneously limited by both protein and energy intake, and may be limited by other factors than protein and energy intake, such as a maximal protein deposition capacity (PD max ). We conclude that there is no physiological basis for an optimal P:E in Nile tilapia feeds.

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Section: Discussionmentioning

confidence: 99%

Balancing protein and energy in Nile tilapia feeds: A meta‐analysis

Konnert

Gerrits

Gussekloo

et al. 2022

Reviews in Aquaculture

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“…All DEM features/metabolites were annotated in KEGG ( http://www.kegg.jp/ ) ( 17 ) and HMDB ( http://www.hmdb.ca/ ) according to Tao et al. ( 18 ); then, the annotated metabolites were mapped to the KEGG pathway database ( http://www.kegg.jp/kegg/pathway.html ).…”

Section: Methodsmentioning

confidence: 99%

Untargeted metabolomics reveals dynamic changes in metabolic profiles of rat supraspinatus tendon at three different time points after diabetes induction

Xu,

Zhang,

Wang

et al. 2023

Front. Endocrinol.

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ObjectiveTo investigate the dynamic changes of metabolite composition in rat supraspinatus tendons at different stages of diabetes by untargeted metabolomics analysis.MethodsA total of 80 Sprague–Dawley rats were randomly divided into normal (NG, n = 20) and type 2 diabetes mellitus groups (T2DM, n = 60) and subdivided into three groups according to the duration of diabetes: T2DM-4w, T2DM-12w, and T2DM-24w groups; the duration was calculated from the time point of T2DM rat model establishment. The three comparison groups were set up in this study, T2DM-4w group vs. NG, T2DM-12w group vs. T2DM-4w group, and T2DM-24w group vs. T2DM-12w group. The metabolite profiles of supraspinatus tendon were obtained using tandem mass spectrometry. Metabolomics multivariate statistics were used for metabolic data analysis and differential metabolite (DEM) determination. The intersection of the three comparison groups’ DEMs was defined as key metabolites that changed consistently in the supraspinatus tendon after diabetes induction; then, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed.ResultsT2DM-4w group vs. NG, T2DM-12w group vs. T2DM-4w group, and T2DM-24w group vs. T2DM-12w group detected 94 (86 up-regulated and 8 down-regulated), 36 (13 up-regulated and 23 down-regulated) and 86 (24 up-regulated and 62 down-regulated) DEMs, respectively. Seven key metabolites of sustained changes in the supraspinatus tendon following induction of diabetes include D-Lactic acid, xanthine, O-acetyl-L-carnitine, isoleucylproline, propoxycarbazone, uric acid, and cytidine, which are the first identified biomarkers of the supraspinatus tendon as it progresses through the course of diabetes. The results of KEGG pathway enrichment analysis showed that the main pathway of supraspinatus metabolism affected by diabetes (p < 0.05) was purine metabolism. The results of the KEGG metabolic pathway vs. DEMs correlation network graph revealed that uric acid and xanthine play a role in more metabolic pathways.ConclusionUntargeted metabolomics revealed the dynamic changes of metabolite composition in rat supraspinatus tendons at different stages of diabetes, and the newly discovered seven metabolites, especially uric acid and xanthine, may provide novel research to elucidate the mechanism of diabetes-induced tendinopathy.

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“…MS data were pre-processed by importing the MS data in Compound Discoverer 3.1.0 (Thermo, USA), which involves extracting peaks, correcting intra-group and inter-group retention time, merging ad-duct ions, filling gaps, labeling background peaks, and identifying metabolites. The online databases Kyoto Encylopaedia of Genes and Genomes (KEGG) (Kanehisa et al 2008) and Human Metabolome Database (HMDB) (Tao et al 2020) were used to annotate the metabolites. The metabolite identification was validated by adopting an in-house fragment spectral library for metabolites.…”

Section: Methodsmentioning

confidence: 99%

Exploring the proteins and metabolites associated with male antennae responses to female exposure of Antheraea pernyi (Lepidoptera: Saturniidae) moths

Wang

2023

Journal of Economic Entomology

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Detection of sex pheromones of insects relies on the antennae. The female pheromone signal transmission in the male antennae ultimately initiates the courtship and mating behaviors of males. To investigate the proteins and metabolites involved in this neural transduction, integrative proteomics and metabolomics analysis including tandem mass tag (TMT) proteomic quantification and liquid chromatography tandem mass spectrometry (LC/MS)-based metabolomics was adopted for comparing proteomic and metabolic changes between the antennae of male moths following stimulation by females and the non-stimulated males of Antheraea pernyi (Guérin-Méneville, Lepidoptera: Saturniidae) in this study. A total of 92 differentially expressed proteins (DEPs) containing 52 upregulated and 40 downregulated proteins and 545 differentially expressed metabolites (DEMs) including 218 upregulated and 327 downregulated metabolites were identified from the antennae of female-stimulated male moths based on the proteome and metabolome data, respectively. Bioinformatics analysis was performed for the 45 DEPs and 160 DEMs, including Gene Ontology (GO), Clusters of Orthologous Groups (COG), and Kyoto Encylopaedia of Genes and Genomes (KEGG) enrichment analysis and Human Metabolome Database (HMDB) annotation. A number of DEPs and DEMs related to neural transmission of female pheromone signals in the male antennae of A. pernyi were screened, including tyrosine hydroxylase, cryptochrome-1, tachykinin, arylalkylamine N-acetyltransferase, cadherin-23, glutathione S-transferase delta 3, tyramine, tryptamine, n-oleoyl dopamine, n-stearoyl dopamine, and n-stearoyl tyrosine. The altered expression levels of those proteins or metabolites were speculated involved in regulating the neuron activity for enhanced transmission of neural impulses and continuous perception, reception, and transduction of female pheromone signals. Our findings yielded novel insights into the potential mechanisms in the antennae of male A. pernyi responding to female attraction.

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Untargeted LC–MS metabolomics approach reveals metabolic changes in genetically improved farmed tilapia (Oreochromis niloticus) with fatty liver induced by a high‐fat diet

Cited by 15 publications

References 53 publications

Balancing protein and energy in Nile tilapia feeds: A meta‐analysis

Balancing protein and energy in Nile tilapia feeds: A meta‐analysis

Untargeted metabolomics reveals dynamic changes in metabolic profiles of rat supraspinatus tendon at three different time points after diabetes induction

Exploring the proteins and metabolites associated with male antennae responses to female exposure of Antheraea pernyi (Lepidoptera: Saturniidae) moths

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