| Literature DB >> 35273249 |
Yao Mawulikplimi Adzavon1,2, Fei Xie1,2, Yang Yi1,2, Xue Jiang1,2, Xiaokang Zhang1,2, Jin He1,2, Pengxiang Zhao1,2, Mengyu Liu1,2, Shiwen Ma1,2, Xuemei Ma3,4.
Abstract
Molecular hydrogen (H2) has emerged as a new therapeutic option in several diseases and is widely adopted by healthy people. However, molecular data to support therapeutic functions attributed to the biological activities of H2 remain elusive. Here, using transcriptomic and metabolomic approaches coupled with biochemistry and micro-CT technics, we evaluated the effect of long-term (6 months) and daily use of H2 on liver function. Rats exposed 2 h daily to H2 either by drinking HRW (H2 dissolved in H2O) or by breathing 4% H2 gas showed reduced lipogenesis and enhanced lipolysis in the liver, which was associated with apparent loss of visceral fat and brown adipose tissue together with a reduced level of serum lipids. Both transcripts and metabolites enriched in H2-treated rats revealed alteration of amino acid metabolism pathways and activation of purine nucleotides and carbohydrate biosynthesis pathways. Analysis of the interaction network of genes and metabolites and correlation tests revealed that NADP is the central regulator of H2 induced metabolic alterations in the liver, which was further confirmed by an increase in the level of components of metabolic pathways that require NADP as substrate. Evidence of immune response regulation activity was also observed in response to exposure to H2. This work is the first to provide metabolomic and transcriptomic data to uncover molecular targets for the effect of prolonged molecular hydrogen treatment on liver metabolism.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35273249 PMCID: PMC8913832 DOI: 10.1038/s41598-022-07710-6
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Long-term use of H2 induces an alteration of metabolism in the liver of healthy rats. (A) Diagram of experimental design and sample processing methods. (B) Heatmap of the DEGs and biological process ontology term for the genes in each cluster. (C) Heatmap of metabolites significantly altered and an overview of the enriched metabolites sets for down (D) and up-regulated (E) metabolites in H2 (HRW and HI) groups compared to control. (F–P) The expression level of metabolite differentially expressed compared to control (|FC|> 1.5, p value < 0.05) and significantly enriched in metabolites set with a p value < 0.05; data are plotted as Mean ± SEM, and their specific fold change (FC) and p value are detailed in supplementary file 2.
Figure 2Change in body composition and serum biochemical parameters in response to long-term H2 intervention. (A) Change in body weight and body fat composition measured by micro-CT (B). (C–D) Change in the volume of subcutaneous (green in panel B) and visceral fat (yellow in panel B) quantified by the Analyze12.0 software (PerkinElmer) from the micro-CT data. Mass of total WAT and BAT are presented in (E) and (F), respectively. Graphs in (G–J) summarize our previous finding of serum lipids of rats exposed to H2 for 6 months[24]. The data of the level of epinephrine (L) in serum and the activity of HSL from rat liver lysates (K) are presented. Data are shown as Mean ± SEM. *p value < 0.05; **p value < 0.01; ***p value < 0.001.
Figure 3The implication of NADP/NADPH pathways in the metabolic regulatory functions of H2. (A) Genes and metabolites interaction network for differentially expressed genes and metabolites (genes and metabolites are shown in circles and squares, respectively). (B) Heatmap showing the expression profile of genes that encode metabolic enzymes connected to NADP. The coefficient (r) of the spearman correlation analysis is shown on the right of the heatmap. Data of statistically significant correlation results at a level of p value < 0.05 is shown in red. (C) Biological functions of genes that encode metabolic enzymes enriched in the NADP network. (D) Metabolic reaction of NADP/NADPH consumption and production pathways. The effect of H2 on the level of components of these metabolic pathways is shown. Data are presented as Mean ± SEM. *p value < 0.05; **p value < 0.01; ***p value < 0.001.