Autotaxin (ATX) is a secreted glycoprotein and functions as a key enzyme to produce extracellular lysophosphatidic acid (LPA). LPA interacts with at least six G protein-coupled receptors, LPAR1-6, on the cell membrane to activate various signal transduction pathways through distinct G proteins, such as Gi/0, G12/13, Gq/11, and Gs. The ATX-LPA axis plays an important role in physiological and pathological processes, including embryogenesis, obesity, and inflammation. ATX is one of the top 40 most unregulated genes in metastatic cancer, and the ATX-LPA axis is involved in the development of different types of cancers, such as colorectal cancer, ovarian cancer, breast cancer, and glioblastoma. ATX expression is under multifaceted controls at the transcription, post-transcription, and secretion levels. ATX and LPA in the tumor microenvironment not only promote cell proliferation, migration, and survival, but also increase the expression of inflammation-related circuits, which results in poor outcomes for patients with cancer. Currently, ATX is regarded as a potential cancer therapeutic target, and an increasing number of ATX inhibitors have been developed. In this review, we focus on the mechanism of ATX expression regulation and the functions of ATX in cancer development.

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Background DL‐3‐n‐butylphthalide (NBP) has been approved to be effective in improving cognitive deficits. The aim of the current study was to determine whether NBP protects against cognitive deficits in a rat model of vascular dementia (VD) induced by chronic cerebral hypoperfusion (CCH) by regulating the sonic hedgehog (Shh)/patched1 (Ptch1) pathway and endoplasmic reticulum stress (ERS)‐related markers. Methods Adult male Sprague‐Dawley rats were subjected to permanent bilateral occlusion of the common carotid arteries (2VO) to established the model of VD. These rats were randomly divided into five groups: sham, model, NBP30 (30 mg/kg), NBP 60 (60 mg/kg), and NBP 120 (120 mg/kg) groups. The Morris water maze test was used to assess for cognitive function at 4 weeks after operation. Results NBP significantly alleviated spatial learning and memory impairment, and inhibited the loss of neurons in the CA1 region of the hippocampus. Western blot analysis and real‐time quantitative polymerase chain reaction analysis revealed that plasticity‐related synaptic markers and the Shh/Ptch1 pathway significantly increased in the NBP treated groups, while ERS‐related markers decreased. Conclusion The results of the current study prove that the Shh/Ptch1 pathway plays an essential role in the model of VD. NBP had protective effects on cognitive impairment induced by CCH. This mechanism was associated with ERS and the Shh/Ptch1 pathway. Meanwhile, the Shh/Ptch1 pathway and ERS may interact with each other.

Background Acute ischemic stroke (AIS) is one of the leading causes of mortality and long-term disability worldwide. Our study aims to clarify the role of low-density lipoproteins (LDL) subclasses in the occurrence of AIS and develop a risk xprediction model based on these characteristics to identify high-risk people. Methods Five hundred and sixty-six patients with AIS and 197 non-AIS controls were included in this study. Serum lipids and other baseline characteristics including fasting blood glucose (GLU), serum creatinine (Scr), and blood pressure were investigated in relation to occurrence of AIS. The LDL subfractions were classified and measured with the Lipoprint System by a polyacrylamide gel electrophoresis technique. Results Levels of LDL-3, LDL-4 and LDL-5 subclasses were significantly higher in the AIS group compared to the non-AIS group and lower level of LDL-1 was prevalent in the AIS patients. Consistently, Spearman correlation coefficient demonstrated that sd-demonevels, especially LDL-3 and LDL-4 levels, were significantly positively correlated with AIS. Furthermore, there is a significant positive correlation between small dense LDL (sd-LDL, that is LDL-3 to 7) levels and serum lipids including total cholesterol (TC), Low density lipoprotein cholesterol (LDL-C), and Triglyceride (TG). Increased LDL-3 and LDL-4 as well as decreased LDL-1 and LDL-2 were correlated to the occurrence of AIS, even in the people with normal LDL-C levels. A new prediction model including 12 variables can accurately predict the AIS risk in Chinese patients (AUC = 0.82 ± 0.04). Conclusions Levels of LDL subclasses should be considered in addition to serum LDL-C in assessment and management of AIS. A new prediction model based on clinical variables including LDL subtractions can help clinicians identify high of AIS, even in the people with norm.

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