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| http://dx.doi.org/10.3324/haematol.2019.230904 | DOI Listing |
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Identification of common diagnostic genes and molecular pathways in endometriosis and systemic lupus erythematosus by machine learning approach and in vitro experiment.
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Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China.
Growing research suggests that endometriosis and systemic lupus erythematosus (SLE) are both chronic inflammatory diseases and closely related, but no studies have explored their common molecular characteristics and underlying mechanisms. Based on GEO datasets, differentially expressed genes in the endometriosis cohort and the SLE cohort were screened using Limma and weighted gene co-expression network analysis (WGCNA), and prediction signatures were constructed using LASSO logistic regression analysis, respectively. Four co-diagnostic genes (PMP22, QSOX1, REV3L, SP110) were identified for endometriosis and SLE.
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L-Mimosine is the main active component of the plant Leucaena leucocephala. Due to its metal-chelating mechanism, it interacts with various metabolic pathways in living organisms, making it a potential pharmacological target, although it also leads to toxicity. The present study aimed to investigate the transplacental passage of L-mimosine and its effects on embryofetal development.
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