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Blood RNA-seq of mice after influenza infection

ABSTRACT: Many previous attempts to derive survival models in whole blood transcriptomics data have failed. Statistical corrections of blood transcriptomics data are needed for multiple comparisons. However, these corrections reduce sensitivity and therefore can constrain discovery. Additionally, signals of inflammation in deep organs may be very weak and hard to detect in the blood, since the blood is not the site of perturbation. On the other hand, although signals in affected tissue are likely much stronger, deep tissues are much less accessible than peripheral blood. To overcome these limitations and allow discovery in peripheral blood, we hypothesized that transcriptional signatures from affected tissues can aid in blood transcriptomics analysis. The aim was to predict death in mice infected with lethal vs. non-lethal doses of influenza virus by examining gene expression in peripheral blood.

ORGANISM(S): Mus musculus

PROVIDER: GSE124404 | GEO | 2020/10/27

REPOSITORIES: GEO

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Project description:Gene expression studies in peripheral blood mononuclear cells (PBMC) can provide knowledge that would be difficult to obtain using other types of biological samples, as these cells can reflect overall response of the body to a specific stimulus, such as diet. Here, we aimed to study the impact of sustained intake of isocaloric diets with an unbalanced macronutrient proportion (rich in fat or protein) on PBMC gene expression in rats using transcriptomics, to better understand the effects of these diets on metabolism and health. Macronutrient diet composition (especially increased protein content) affected PBMC gene expression. An important effect was observed in immune response-related genes. High protein (HP) diet produced an activation of genes mainly related to antigen recognition/presentation, whereas the high fat (HF) diet was more related to a decreased expression of these genes. Key energy homeostasis genes (mainly involved in lipid metabolism) were also affected, reflecting a nutritional adaptive response to the diets. Decreased Dhrs3 and increased Pref-1/Dlk1 expression observed in HP-fed animals reflects a lower lipogenic capacity. In addition, HF diet affected the expression of genes related to insulin resistance/signaling (Msra/Slc9a6, Asb6), hypoxia (Akap12), cardiovascular problems (Ethe1, Lr11), cognitive impairment (Tmcc2) and tumorigenesis (Ddx17, Phb, Rnasen/Drosha, and Tsc2). HP diet also impaired the expression of genes related to glucose metabolism and insulinemia (Glut-4/Slc2a4, Sfxn5, Slc16a1), but positively affected genes involved in liver function (Clec4f and St6galnac3) and cardiovascular protection (Sort1). In conclusion, gene expression analysis in PBMC can provide information that could be useful to detect metabolic deviations and health consequences of diets with an unbalanced macronutrient composition. 2 months-old male Wistar rats received a low fat control diet, or a high fat (HF) diet, or a high protein (HP) diet for 4 months, respectively. At the end of the intervention, prior to the sacrifice of the animals, peripheral blood samples (1.5-2.5 mL) were collected from the safena vein, using heparin in NaCl (0.9%) as anticoagulant. Immediately after blood collection, peripheral blood mononuclear cells (PBMC) were isolated by Ficoll gradient separation. Total RNA was isolated from PBMC, quantified and qualified, and subsequently used for global gene expression profiling using Agilent 4x44K microarrays.

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Blood RNA-seq of mice after influenza infection

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