Background: Psoriasis is a chronic inflammatory dermatosis. The hyperproliferation and hyperkeratosis of keratinocytes is a key step in the pathogenesis of psoriasis. Long non-coding RNAs (lncRNAs) and mRNAs regulate gene expression in various biological process, including the function of keratinocytes. This research investigated the expression profile of lncRNAs and mRNAs in keratinocytes of patients with psoriasis vulgaris. Methods: The expression of lncRNAs and mRNAs in keratinocytes from patients with psoriasis vulgaris and healthy patients was examined and compared using microarrays. Quantitative polymerase chain reaction (qPCR) and bioinformatic analysis was also performed. DAVID and KEGG were used to analyze the gene function. The competing endogenous RNA (ceRNA) network was also constructed. Results: A total of 48 lncRNAs and 17 mRNAs were differentially expressed in keratinocytes of psoriasis vulgaris. Quantitative PCR data showed that the expression of lnc-AGXT2L1-2:2 (P=0.009) and NR_027032 (P=0.033) was up-regulated in psoriasis vulgaris. The lncRNA-miRNA-mRNA interaction network was established. The mRNA showing the most connections with the lncRNAs and miRNAs was CEP104. The miRNA showing the most connections with the lncRNAs and mRNAs was miR-484. The lncRNA showing the most connections with miRNAs and mRNAs was ENST00000494887. Conclusions: The identification of the differentially expressed lncRNAs and mRNAs in psoriasis vulgaris provides significant insights into the pathogenesis of the disease.

Sexually transmitted infections (STIs) remain a significant global public health challenge. The rapid and precise identification of these pathogens is crucial for effective diagnosis and treatment. Current polymerase chain reaction (PCR)-based assays, despite their widespread use, present several limitations in clinical settings, including high costs and technical complexity. To address these challenges, we developed a portable and automated microfluidic nucleic acid detection device for multiplex detection of three sexually transmitted pathogens via the fluorescence quantitative PCR (qPCR) assay. This integrated platform combines automated sample processing, multiplex qPCR amplification, and fluorescence detection within a single device. The entire closed-loop testing procedure, from automated nucleic acid extraction to result generation, requires only 40 min. The system demonstrates detection limits of 360 copies/ml for Neisseria gonorrhoeae (NG), 140 copies/ml for Ureaplasma urealyticum (UU), and 290 copies/ml for Chlamydia trachomatis (CT). Clinical validation revealed exceptional performance in multiplex detection of infected specimens, showing complete concordance (100 %) with standard diagnostic results while maintaining high specificity. These findings highlight the instrument's clinical potential and establish a new paradigm for automated, multiplex pathogen detection.