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These medications help regulate blood sugar, control appetite, and promote weight loss, but their effects are most significant when used alongside lifestyle changes, such as diet and exercise

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For many, this means more immediate control over blood sugar levels, particularly useful for managing unpredictable spikes

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for more information, see Supplementary Table 1)) / Metainformation_Ions (All needed metainformation of annotated ions (Annotation, Ion m / z , Annotation IDs)) / growth response time (Time of growth monitoring of 400 drug perturbations in three cell lines run in two replicates (here for replicate 1, followed by replicate 2)) / growth response confluence (Confluence values (percent of well covered by cells) of growth monitoring of 400 drug perturbations in three cell lines run in two replicates (here for replicate 1, followed by replicate 2)) / z-scores (z-score normalized mean log 2 FC (A549, Hs578T, SK-OV-3, timepoint 1 (24 h), followed by timepoint 2 (48 h))) / growth rate parameters (Averaged growth parameters (Change of confluence relative to DMSO control for A549, SK-OV-3 and Hs578T)) / mean log2-FC (Dynamic metabolic changes during drug treatments (mean log 2 FC) relative to unperturbed cancer cells (A549, Hs578T, SK-OV-3, timepoint 1 (24 h), followed by timepoint 2 (48 h))) / standard deviation (Standard deviation of mean log 2 FC values during drug treatments (A549, Hs578T, SK-OV-3, timepoint 1 (24 h), followed by timepoint 2 (48 h))) / p-values (Statistical significance ( P value, t -test) of metabolic changes during drug treatments (A549, Hs578T, SK-OV-3, timepoint 1 (24 h), followed by timepoint 2 (48 h))) / q-values (Adjusted statistical significance (BHFR) of metabolic changes during drug treatments (A549, Hs578T, SK-OV-3, timepoint 1 (24 h), followed by timepoint 2 (48 h))) / iSim_Cell Line Comparison (A value derived from iSim approach of one to another drug profiled within one cell line and one timepoint) / Meta_Transcriptomics (Metainformation of drugs profilied by transcriptomics used in the comparative analysis of multidimensional profiling techniques) / iSim_Transcriptomics (Similarity value (iSim) of drugs profilied by transcriptomics used in the comparative analysis of multidimensional profiling techniques) / Meta_CellPainting (Metainformation of drugs profilied by cell painting used in the comparative analysis of multidimensional profiling techniques) / iSim_CellPainting (Similarity value (iSim) of drugs profilied by cell painting used in the comparative analysis of multidimensional profiling techniques) / Meta_ChemicalGenomics (Metainformation of drugs profilied by chemical genomics used in the comparative analysis of multidimensional profiling techniques) / iSim_ChemicalGenomics (Similarity value (iSim) of drugs profilied by chemical genomics used in the comparative analysis of multidimensional profiling techniques) / Meta_Proteomics (Metainformation of drugs profilied by proteomics used in the comparative analysis of multidimensional profiling techniques) / iSim_Proteomics (Similarity value (iSim) of drugs profilied by proteomics used in the comparative analysis of multidimensional profiling techniques) / Comparative_AUC_Analysis (AUC values derived from ROC curve analysis of drugs within an MoA class across different multidimensional profiling techniques)

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