The gut–brain axis in growth hormone deficiency: fecal microbiota transplantation reveals microbiota-driven white matter alterations mediated by GH/IGF-1 signaling

README:Raw Data of All Figures, Tables and Images Title:The gut–brain axis in growth hormone deficiency: fecal microbiota transplantation reveals microbiota-driven white matter alterations mediated by GH/IGF-1 signaling Authors Xingtong Lin (E-mail:[e-mail]) Chuhan Xiong (E-mail:[e-mail]) Last updated on 2026/3/27 1. Overview This dataset contains the raw and processed data underlying all figures and tables presented in the manuscript. The data are organized to facilitate reproducibility and allow independent verification of the results. All files are provided in open formats (e.g.,.csv, .txt, .fastq). All documents and statistical charts: 'G' and 'GHD' refer to the GHD (growth hormone deficiency) group; 'N' and 'HC' refer to the HC (health control) group; 'S' and 'ISS' refer to the ISS (idiopathic short stature) group. The ‘1’ in 'G1', 'N1', 'S1' stands for 3 weeks of age; The ‘2’ in 'G2', 'N2', 'S2' stands for 6 weeks of age; The ‘3’ in 'G3', 'N3', 'S3' stands for 6 weeks of age. 2. File Structure The data are arranged into folders corresponding to each figure or table, or aggregated by data type, including figures, code, images, and all CSV metadata files for statistical analysis. The first row of each CSV file contains the corresponding figure number from the article, and each CSV file includes both the raw data and the statistical analysis results. The folder titled “Original Image” contains the raw images from all immunohistochemistry and immunofluorescence experiments described in the article. 3. Data Description by Figure/Table File 1: Rawdata _tDKI GHD/HC/ISS _3/6/9w: The subfolders for each subject’s data are named with numbers corresponding to the MRI imaging sequences; the ‘pdata’ folder contains the raw DICOM image data. ‘denoise_PGSE’ contains the files after noise reduction preprocessing. The corresponding post-processing code can be found in the ’File 2 : Rawdata’. Run ‘Step1_ScanList.m’, ‘Step2_PGSE_tDKI_wz.m’, and ‘Step3_Statistics.m’ sequentially. The required resources are included in the ‘function’ folder. Statistical analysis yields water exchange times and relevant diffusion parameters. File 2: Rawdata Figure2: Bodyweight Immunohistochemical_IGF1Expression_Area%.csv serumIGF1concentration.csv serumIGFBP3concentration.csv mice album originalImage_ileum_IHC Figure3_brain_thalamus_DKI Code of DKI:This file reproduces the preprocessing and postprocessing results for time-dependent peak imaging and diffusion kurtosis imaging. This code is based on [Wu D et al., *Science Advances*, 2024, 10(29): eadk1817] and was rewritten by Xiong Chuhan. Please send your comments or questions to Chuhan Xiong ([e-mail]). originalImage_thalamus_ICC Figure3.rawdata_tDKI_parameters.csv immunofluorescenceStainingData.csv Figure4_16S_rRNAseq 16S_rRNAseq.csv Figure4d1/2/3_pcoa_bray_curtis_GHD/HC/ISS Figure5.16S_rRNAseq_LEfSe_table biomarkers_raw_images LEfSe_table.res Figure6.PLS-PM analysis (Partial Least Squares Path Modeling analysis) file6.1_PLS-PM analysis code file6.2_PLS-PM result rawdata_PLS-PManalysis.csv morphologicalChanges_ileum.csv originalImage_ileum_HE_supplementfile 4. References Time-dependent Diffusion kurtosis imaging Wu D et al., *Science Advances*, 2024