ABSTRACT
Objective To investigate the effects of Echinococcus multilocularis on the phenotypic transformations of glucose metabolism, polarization types and inflammatory responses in macrophages, so as to provide insights into elucidation of echinococcosis pathogenesis. Methods Bone marrow cells were isolated from C57BL/6J mice at ages of 6 to 8 weeks, and induced into bone marrow-derived macrophages (BMDMs) with mouse macrophage colony-stimulating factor (M-CSF), which served as controls (BMDMs-M0). BMDMs-M0 induced M2 macrophages by interleukin-4 for 24 hours served as the IL-4 induction group, and BMDMs-M0 co-cultured with 2.4 ng/mL E. multilocularis cystic fluid (CF) served as the BMDM-CF co-culture group, while BMDMs-M0 co-cultured with E. multilocularis protoscolex (PSC) at a ratio of 500:1 served as the BMDM-PSC co-culture group. The types of polarization of BMDMs co-cultured with E. multilocularis CF and PSC were analyzed using flow cytometry, and the expression of macrophage markers, inflammatory factors, and glucose metabolism-related enzymes was quantified using fluorescent quantitative real-time PCR (qPCR) and Western blotting assays. Results There were significant differences among the four groups in terms of Arginase-1 (Arg1) (F = 1 457.00, P < 0.000 1), macrophages-derived C-C motif chemokine 22 (Ccl22) (F = 22 203.00, P < 0.000 1), resistin-like α (Retnla) (F = 151.90, P < 0.000 1), inducible nitric oxide synthase (iNOS) (F = 107.80, P < 0.001), hexokinase (HK) (F = 9 389.00, P < 0.000 1), pyruvate kinase (PK) (F = 641.40, P < 0.001), phosphofructokinase 1 (PFK1) (F = 43.97, P < 0.01), glucokinase (GK) (F = 432.50, P < 0.000 1), pyruvate dehydrogenase kinases1 (PDK1) (F = 737.30, P < 0.000 1), lactic dehydrogenase (LDH) (F = 3 632.00, P < 0.000 1), glucose transporter 1 (GLUT1) (F = 532.40, P < 0.000 1), glyceraldehyde-3-phosphate dehydrogenase (GAPDH) (F = 460.00, P < 0.000 1), citrate synthase (CS) (F = 5 642.00, P < 0.01), glycogen synthase1 (GYS1) (F = 273.30, P < 0.000 1), IL-6 (F = 1 823.00, P < 0.000 1), IL-10 (F = 291.70, P < 0.000 1), IL-1β (F = 986.60, P < 0.000 1), and tumor necrosis factor (TNF)-α (F = 334.80, P < 0.000 1) and transforming growth factor (TGF)-β mRNA expression (F = 163.30, P < 0.001). The proportion of M2 macrophages was significantly higher than that of M1 macrophages in the BMDM-PSC co-culture group [(22.87% ±1.48%) vs. (1.70% ±0.17%); t = 24.61, P < 0.001], and the proportion of M2 macrophages was significantly higher than that of M1 macrophages in the BMDM-CF co-culture group [(20.07% ±0.64%) vs. (1.93% ±0.25%); t = 45.73, P < 0.001]. The mRNA expression of M2 macrophages markers Arg1, Ccl22 and Retnla was significantly higher in the BMDM-CF and BMDM-PSC co-culture groups than in the control group (all P values < 0.01), and no significant difference was seen in the mRNA expression of the M1 macrophage marker iNOS among the three groups (P > 0.05), while qPCR assay quantified higher mRNA expression of key glycolytic enzymes HK, PK and PFK, as well as inflammatory factors IL-10, IL-1β, TNF-α and TGF-β in the BMDM-CF and BMDM-PSC co-culture groups than in the control group (all P values < 0.01). Western blotting assay determined higher HK, PK and PFK protein expression in the BMDM-PSC co-culture group than in the control group (all P values < 0.05), and qPCR quantified higher GLUT1, GAPDH and IL-6 mRNA expression in the BMDM-CF co-culture group than in the control group (all P values < 0.05), while higher HK, PK and PFK protein and mRNA expression (all P values < 0.01), as well as lower IL-6 and TNF-α and higher TGF-β mRNA expression (both P values < 0.05) was detected in the IL-4 induction group than in the control group. Glycolytic stress test showed no significant difference in the extracellular acidification rate (ECAR) of mouse BMDM among the control group, IL-4 induction group and BMDM-PSC co-culture group (F = 124.4, P < 0.05), and a higher ECAR was seen in the BMDM-PSC co-culture group and a lower ECAR was found in the IL-4 induction group than in the control group (both P values < 0.05). Conclusions Treatment of E. multilocularis CF or PSC mainly causes polarization of BMDM into M2 macrophages, and phenotypic transformation of glucose metabolism into high-energy and high-glycolytic metabolism, and affects inflammatory responses in BMDM.
ABSTRACT
When performing eye movement pattern classification for different tasks, support vector machines are greatly affected by parameters. To address this problem, we propose an algorithm based on the improved whale algorithm to optimize support vector machines to enhance the performance of eye movement data classification. According to the characteristics of eye movement data, this study first extracts 57 features related to fixation and saccade, then uses the ReliefF algorithm for feature selection. To address the problems of low convergence accuracy and easy falling into local minima of the whale algorithm, we introduce inertia weights to balance local search and global search to accelerate the convergence speed of the algorithm and also use the differential variation strategy to increase individual diversity to jump out of local optimum. In this paper, experiments are conducted on eight test functions, and the results show that the improved whale algorithm has the best convergence accuracy and convergence speed. Finally, this paper applies the optimized support vector machine model of the improved whale algorithm to the task of classifying eye movement data in autism, and the experimental results on the public dataset show that the accuracy of the eye movement data classification of this paper is greatly improved compared with that of the traditional support vector machine method. Compared with the standard whale algorithm and other optimization algorithms, the optimized model proposed in this paper has higher recognition accuracy and provides a new idea and method for eye movement pattern recognition. In the future, eye movement data can be obtained by combining it with eye trackers to assist in medical diagnosis.