1.Effects of rituximab on lymphocytes and immunoglobulin in the treatment of glomerular disease
Li LIN ; Hong REN ; Jingyuan XIE ; Weiming WANG ; Pingyan SHEN ; Xiao LI ; Xiaofan HU ; Yifan SHI ; Yinhong JI ; Nan CHEN
Chinese Journal of Nephrology 2021;37(2):81-86
Objective:To investigate the effects of rituximab on lymphocytes and immunoglobulin in the treatment of focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD).Methods:The subjects were FSGS and MCD patients admitted to Ruijin Hospital affiliated to Shanghai Jiaotong University on July 1, 2014 and July 1, 2019. All the enrolled patients were confirmed by clinical examination and renal biopsy, and received rituximab treatment (4 infusions of 375 mg/m 2 with the interval of 7-14 d). The levels of immunoglobulin IgA, IgG, IgM, and lymphocytes of CD19 +, CD20 +, CD3 +, CD3 +CD4 +, CD3 +CD8 + and natural killer cells (CD56 +CD16 +) were compared between baseline and the third month, the sixth month, the ninth month and the twelfth month after treatment. Results:Ninety-six patients with FSGS or MCD were enrolled in this study. The midian age was 28 years old (14-77 years old). The ratio of men to woman was 1.8∶1. There were 65 cases of MCD and 31 cases of FSGS. After rituximab treatment, the 24 h-proteinuria was significantly lower than that before treatment, and the serum albumin level was increased (both P<0.05). After rituximab treatment of 3 months, 6 months, 9 months and 12 months, CD19 + and CD20 + lymphocyte counts were significantly decreased (all P<0.01), and gradually recovered after 6 months. Compared with baseline, at 3, 6, 9, 12 months after rituximab treatment, the level of blood IgG was significantly increased ( P=0.004,<0.001,<0.001,<0.001, respectively), and the level of blood IgM was significantly decreased ( P<0.001, =0.008, =0.005,<0.001, respectively) but the median level still within the normal range (400-3 450 mg/L). The level of blood IgA was not significantly changed (all P<0.05). T lymphocytes (CD3 +, CD3 +CD4 + and CD3 +CD8 +) and natural killer cells (CD56 +CD16 +) showed no significant difference from baseline (all P>0.05). Conclusions:Rituximab can effectively eliminate CD19 + and CD20 + lymphocytes, and has little influence on peripheral blood lymphocyte count and immunoglobulin level except CD19 + and CD20 + lymphocytes. The standard administration of rituximab is safe for patients with FSGS and MCD.
2.Clinical manifestation and gene analysis of a family with pseudoachondroplasia
Jianying DUAN ; Jin WANG ; Yinhong ZHANG ; Fan LIU ; Shiyan CAI ; Yiping SHEN ; Li LI
Chinese Journal of Applied Clinical Pediatrics 2020;35(14):1110-1112
Clinical manifestations and genes of a case from a family with pseudoachondroplasia caused by COMP gene mutation treated in the Department of Pediatrics of the First People′s Hospital of Yunnan Province were retrospectively analyzed.The male patient aged 3 years and 3 months old had a history of slow growth for 1 year.Physical examinations showed that the patient′s height: 87.5 cm (less than -3 SD), 55.0 cm on top, 32.5 cm on bottom, mild O-leg, Nervous system physical examination suggested normal muscle strength of lower limbs and low muscle tone.Genetic examination revealed that the heterozygous gene variation of exon 11 of the COMP gene was chr19: 18897437 A >g [hg19], nm_000095.2, c.1159T >c, p.CY3 387 Arg, namely the transformation of cysteine to arginine at position 1159 of the translation product protein.Genetic testing is an important basis for the diagnosis of pseudoachondroplasia.It can avoid mistreatment, so as not to affect the predicted adult height of children.
3.Research on eye movement data classification using support vector machine with improved whale optimization algorithm.
Yinhong SHEN ; Chang ZHANG ; Lin YANG ; Yuanyuan LI ; Xiujuan ZHENG
Journal of Biomedical Engineering 2023;40(2):335-342
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.
Animals
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Support Vector Machine
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Whales
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Eye Movements
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Algorithms
4.Preliminary study on the effect of Echinococcus multilocaris on phenotypic transformations of glucose metabolism and polarization types in macrophages
Yinhong SHEN ; Tao ZHANG ; Zihan YANG ; Yaogang ZHANG ; Dengliang HUANG ; Jing HOU ; Meiyuan TIAN ; Yanyan MA
Chinese Journal of Schistosomiasis Control 2023;35(6):590-603
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.