Periodic dietary restriction of animal products induces metabolic reprogramming in humans with effects on health

We conducted metabolomic and proteomic profiling in 411 healthy individuals, of whom almost a half follow a structured dietary pattern of animal product restriction.Metabolite levels were measured on the Nightingale panel. Protein levels were measured on the Olink 1536 panel. Following QC, we conducted differential abundance analysis using limma (statistical software package in R) for metabolites and proteins, as described in our manuscript. Here we have deposited limma output results, annotated for each comparison made (eg. PRT2vsPRT1 for PR individuals at TImepoint 2 vs. Timepoint 1). For more details, please refer to the manuscript For metabolomics the files include: 1. Nightingale_LIMMA_777ind_PRT2vsPRT1.txt 2. Nightingale_LIMMA_777ind_NRT2vsNRT1.txt 3. Nightingale_LIMMA_777ind_PRT1vsNRT1.txt 4. Nightingale_LIMMA_777ind_PRT2vsNRT2.txt For proteomics the files include: 1. Olink_LIMMA_793ind_NRT2vsNRT1.txt 2. Olink_LIMMA_793ind_PRT1vsNRT1.txt 3. Olink_LIMMA_793ind_PRT2vsNRT2.txt 4. Olink_LIMMA_793ind_PRT2vsPRT1.txt The columns in the files refer to: logFC: Log-fold change, indicating the magnitude of change in gene expression between conditions. CI.L and CI.R: Confidence intervals for the log-fold change. AveExpr: Average expression level of the gene across conditions. t: t-statistic, measuring the significance of the difference in expression between conditions. P.Value: P-value, indicating the probability of observing the data if the null hypothesis (no difference in expression) is true. adj.P.Val: Adjusted P-value, considering multiple testing corrections. B: B-statistic, a measure of the strength of evidence for differential expression. metabolite: metabolite that was measured.OlinkID: protein ID provided by Olink UniProt: Uniprot ID Assay: gene name本研究对411名健康个体开展了代谢组学与蛋白质组学谱分析，其中近半数受试者遵循严格的动物源性食物限制结构化膳食模式。代谢物水平通过Nightingale检测板（Nightingale panel）完成定量，蛋白质水平则采用Olink 1536检测板（Olink 1536 panel）进行测定。质控（QC）完成后，本研究针对代谢物与蛋白质分别采用limma（R语言统计软件包）开展差异丰度分析，具体方法详见研究论文。本数据集已上传limma的分析输出结果，所有结果均针对每组对比进行了注释（例如PRT2vsPRT1代表时间点2的PR组受试者与时间点1的PR组受试者的对比）。更多细节请参阅研究论文。 代谢组学相关文件包含： 1. Nightingale_LIMMA_777ind_PRT2vsPRT1.txt 2. Nightingale_LIMMA_777ind_NRT2vsNRT1.txt 3. Nightingale_LIMMA_777ind_PRT1vsNRT1.txt 4. Nightingale_LIMMA_777ind_PRT2vsNRT2.txt 蛋白质组学相关文件包含： 1. Olink_LIMMA_793ind_NRT2vsNRT1.txt 2. Olink_LIMMA_793ind_PRT1vsNRT1.txt 3. Olink_LIMMA_793ind_PRT2vsNRT2.txt 4. Olink_LIMMA_793ind_PRT2vsPRT1.txt 文件中的各列含义如下： logFC：对数折叠变化（Log-fold change），用于表征不同条件下代谢物或蛋白质丰度的变化幅度 CI.L与CI.R：对数折叠变化的置信区间 AveExpr：所有条件下代谢物/蛋白质的平均丰度水平 t：t统计量，用于衡量不同条件下代谢物或蛋白质丰度差异的显著性 P.Value：P值，代表当原假设（即不同条件下丰度无差异）成立时，观测到当前数据的概率 adj.P.Val：校正后P值，考虑了多重检验校正的影响 B：B统计量，用于衡量差异丰度分析的证据强度 metabolite：被测代谢物名称 OlinkID：Olink公司提供的蛋白质ID UniProt：UniProt数据库ID Assay：基因名称