Additional file 1 of Western diet increases brain metabolism and adaptive immune responses in a mouse model of amyloidosis
Creators: name: Poxleitner, Marilena
name: Hoffmann, Sabrina H. L.
name: Berezhnoy, Georgy
name: Ionescu, Tudor M.
name: Gonzalez-Menendez, Irene
name: Maier, Florian C.
name: Seyfried, Dominik
name: Ehrlichmann, Walter
name: Quintanilla-Martinez, Leticia
name: Schmid, Andreas M.
name: Reischl, Gerald
name: Trautwein, Christoph
name: Maurer, Andreas
name: Pichler, Bernd J.
name: Herfert, Kristina
name: Beziere, Nicolas
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Science Policy
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Mental Health

description: Additional file 1: Table S1. Comparison between the content of the normal diet and the Western diet. Changes indicate higher or lower portions in WD compared to ND for each compound. Table S2. Group distribution of experimental animals (n) per sex for weight, experiments and per group. Weight measurement started for ND-group at various time points (see comment). Table S3. Lipids of different chain lengths and lipid compositions are listed. Mean values, standard deviation (SD), and animal numbers (n) for ND and WD are depicted. *According to Ye et al. [56]. Figure S1. Gating strategy for myeloid flow cytometry antibody panel. For each immune cell population the respective antibodies are displayed on the Y- and X-axis. Gating is shown as a black outline within the plots. Figure S2. Gating strategy for T cell flow cytometry antibody panel. For each immune cell population the respective antibodies are displayed on the Y- and X-axis. Gating is shown as a black outline within the plots. Gating for Tregs applies only to CD8- T cell populations. Figure S3. Typical MRS spectrum of the liver fat composition highlighting the main lipid components of interest shown in Fig. 2 and Table S3. Figure S4 Mean ± SD blood glucose levels measured before [18F]FDG imaging for all 4 groups did not differ. WT-ND n = 11, APPPS1-ND n = 7, WT-WD n = 7, APPPS1-WD n= 8, post hoc Holm-Sidak corrected for multiple comparisons. Table S4. Overview table with results from NMR raw spectral analysis: annotated metabolite names, their corresponding signals in the 1H spectrum (indicative multiplicity and experimentally monitored chemical shift), and also a report of averaged (means) normalized concentrations per metabolite per group with a given standard deviation (SD). S, singlet; D, doublet, D–D, doublet of doublets, D–D–D, doublet of doublets of doublets; T, triplet; Q, quartet; M, multiplet. A.u. der. mM, arbitrary units derived from millimolar concentration values. Negative values are a result of pareto scaling. Table S5. Metabolomics data changes overview in three mice group comparisons (A APPPS1-ND vs. WT-ND; B WT-WD vs. WT-ND; C APPPS1-WD vs. WT-ND) checked against the control ND-WT mice. VIP (Variable Importance in Projection) scores are depicted for each group. Statistical significance: *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001. Non-significant changes (by t-test) were not labeled. Table S6. Pearson’s correlations of whole brain uptake (SUV) of PET tracers [18F]FDG, [18F]FTHA, [18F]GE-180 and relevant immune cells in brains (percentage of viable cells) for all experimental groups. For each comparison the correlation coefficient r, r squared R2, p-value and number of compared values n are shown. Statistical significance: *p &lt; 0.05, **p &lt; 0.01, ***p &lt; 0.001. Figure S5. Percentage of positive NeuN cells in cortex (CTX) areas: retrosplenial area, primary somatosensory area and dorsal auditory area. WT-ND n = 2; APPPS1-ND n = 3; WT-WD n = 3; APPPS1-WD n = 3.