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Abstract Sepsis involves dynamic immune dysfunction and metabolic reprogramming, but the role of lactylation-associated metabolic genes in macrophage responses remains unclear. We integrated four peripheral-blood transcriptomic datasets using differential expression analysis, weighted gene co-expression network analysis, and four machine-learning algorithms.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
