This study used multiple common chemical stresses in human islets, mimicking the conditions experienced by dysfunctional β-cells. Proteomic alterations upon exposure of human islets to these stressors were profiled with TMT-based quantitative proteomics and further verified using label-free quantitative proteomics. The differentially expressed proteins under stress conditions were selected for in-depth bioinformatic analysis.