Transcriptome profiling identifies NETs-associated biomarkers in osteoporosis with diabetes

ABSTRACT: Background: Osteoporosis and diabetes represent major global public health challenges. Neutrophil extracellular traps (NETs) serve as key components of the innate immune system by capturing bacteria, fungi, and parasites, thereby trapping them in local environments with high concentrations of antimicrobial agents leading to their elimination. This study aimed to identify biomarkers associated with NETs in osteoporosis with diabetes, and to explore the underlying molecular mechanisms. Methods: A transcriptomic sequencing dataset was obtained for osteoporosis combined with diabetes. The NETs-related genes (NETs-RGs) were obtained from previous literature. Biomarkers were identified through differential analysis, machine learning, and receiver operating characteristic (ROC). The identified b

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER: luyan zhang 

PROVIDER: E-MTAB-16559 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress