Clinical features of adverse events associated with Xiyanping-Ribavirin combination: A systematic review

Identification of a shared gene signature and biological mechanism between diabetic foot ulcers and cutaneous lupus erythemnatosus by transcriptomic analysis

Diabetic foot ulcers (DFU) and cutaneous lupus erythematosus (CLE) are both diseases that can seriously affect a patient's quality of life and generate economic pressure in society. Symptomatically, both DLU and CLE exhibit delayed healing and excessive inflammation; however, there is little evidence to support a molecular and cellular connection between these two diseases. In this study, we investigated potential common characteristics between DFU and CLE at the molecular level to provide new insights into skin diseases and regeneration, and identify potential targets for the development of new therapies. The gene expression profiles of DFU and CLE were obtained from the Gene Expression Omnibus (GEO) database and used for analysis. A total of 41 common differentially expressed genes (DEGs), 16 upregulated genes and 25 downregulated genes, were identified between DFU and CLE. GO and KEGG analysis showed that abnormalities in epidermal cells and the activation of inflammatory factors were both involved in the occurrence and development of DFU and CLE. Protein-protein interaction network (PPI) and sub-module analysis identified enrichment in seven common key genes which is KRT16, S100A7, KRT77, OASL, S100A9, EPGN and SAMD9. Based on these seven key genes, we further identified five miRNAs(has-mir-532-5p, has-mir-324-3p,has-mir-106a-5p,has-mir-20a-5p,has-mir-93-5p) and7 transcription factors including CEBPA, CEBPB, GLI1, EP30D, JUN,SP1, NFE2L2 as potential upstream molecules. Functional immune infiltration assays showed that these genes were related to immune cells. The CIBERSORT algorithm and Pearson method were used to determine the correlations between key genes and immune cells, and reverse key gene-immune cell correlations were found between DFU and CLE. Finally, the DGIbd database demonstrated that Paquinimod and Tasquinimod could be used to target S100A9 and Ribavirin could be used to target OASL. Our findings highlight common gene expression characteristics and signaling pathways between DFU and CLE, indicating a close association between these two diseases. This provides guidance for the development of targeted therapies and mutual interactions.

Variable importance for projection (VIP) scores for analyzing the contribution of risk factors in severe adverse events to Xiyanping injection

BACKGROUND

Age and herb-drug combination are risk factors for the severity of Xiyanping injection (XYP) associated adverse events (AEs).

OBJECTIVE

To analyze risk factors contributing to the severity of XYP's AEs using a variable importance for projection (VIP) method.

METHODS

AEs related to the use of XYP were extracted from the China National Adverse Drug Reaction Monitoring Information System (2004-2017) and classified as general or severe. Data were analyzed with respect to age and 12 herb-drug combinations, including ribavirin (RB), ceftriaxone, penicillin sodium, ambroxol hydrochloride (AH), clindamycin, cefoxitin sodium, azithromycin (AZM), ceftazidime, amoxicillin sodium/potassium clavulanate, levofloxacin hydrochloride, sodium cefazolin pentahydrate, and acyclovir according to VIP scores and correlation coefficient (Coeff).

RESULTS

A total of 21,714 AEs (general 20,660; severe 1054) related to XYP combinations were included. Using XYP alone tended to produce general AEs (All VIP = 3.124; 1.329; 1.857; 2.169; 2.400, Coeff < 0). For all set, 0-6 years old patients tend to have general AEs (VIP = 2.425, Coeff < 0), while those > 41 years old patients tend to have severe AEs (VIP = 1.180; 2.323, Coeff > 0). For 0-40 years old patients, XYP-RB combination had a greater impact on the severity of AEs (VIP = 1.158; 1.360; 1.147, Coeff > 0). For 7-17 years old patients, XYP-AZM combination tended to produce general AEs (VIP = 1.502, Coeff < 0). In individuals > 65 years old, XYP-AH combination tended to result in severe AEs (VIP = 1.232, Coeff > 0).

CONCLUSIONS

VIP method was expected to effectively analyze risk factors in affecting the severity of AEs and control AEs more effectively. Age is the key factor contributing to the severity of AEs, and there are different influence directions. It is recommended that clinicians pay closer attention to the metabolic characteristics of different age groups. It is safe to use XYP alone and strictly implementing standardized operations such as medication interval and flushing will avoid undesired AEs.