1.RICH1 regulates myocardial fibrosis through TGF-β/SMAD signaling pathway
Lu-xuan WAN ; Ying-qing HU ; Yuan-yuan LIU ; Yong-song TANG ; Jun-yi HUANG ; Zi-xuan ZHANG ; Xiao-xiao MAO ; Xin-wen NIE ; Zhan-hong REN
Chinese Pharmacological Bulletin 2025;41(11):2089-2096
Aim To reveal the mechanism of CIP4 homologs protein 1(RICH1)are involved in the regu-lation of myocardial fibrosis.Methods Mouse cardiac fibroblasts(MCFs)cells were treated with transforming growth factor-β(TGF-β1)to induce the formation of a myocardial fibrosis cell model;the level of the target protein was detected by Western blotting;and the RICH1 gene was detected by transfection of the cells with plasmid.The RICH1 gene was overexpressed(RICH 1 OE)using plasmid transfection;the RICH1 gene was silenced using siRNA fragment(siRICH1);and the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3 a1,and Acta2,were de-tected using RT-qPCR.Results RICH1 was signifi-cantly down-regulated in TGF-β1-treated MCFs;the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3a1,and Acta2,were down-regu-lated in the RICH1 OE+TGF-β1 group;and in the siRICH1+TGF-β1 group,myocardial fibrosis marker genes,such as Col1 a1,Col3a1 and Acta2 were up-regulated at the expression level;phosphorylated SMAD2(p-SMAD2)and phosphorylated SMAD3(p-SMAD3)levels were down-regulated in the siRICH1 OE+TGF-β1 group.p-SMAD2 and P-SMAD3 levels were upregulated in the siRICH1+TGF-β1 group.Conclusion RICH1 inhibits TGF-β1-induced myo-cardial fibrosis;RICH1 inhibits TGF-β1-induced myo-cardial fibrosis by negatively regulating the SMAD2/3 signaling pathway.
2.RICH1 regulates myocardial fibrosis through TGF-β/SMAD signaling pathway
Lu-xuan WAN ; Ying-qing HU ; Yuan-yuan LIU ; Yong-song TANG ; Jun-yi HUANG ; Zi-xuan ZHANG ; Xiao-xiao MAO ; Xin-wen NIE ; Zhan-hong REN
Chinese Pharmacological Bulletin 2025;41(11):2089-2096
Aim To reveal the mechanism of CIP4 homologs protein 1(RICH1)are involved in the regu-lation of myocardial fibrosis.Methods Mouse cardiac fibroblasts(MCFs)cells were treated with transforming growth factor-β(TGF-β1)to induce the formation of a myocardial fibrosis cell model;the level of the target protein was detected by Western blotting;and the RICH1 gene was detected by transfection of the cells with plasmid.The RICH1 gene was overexpressed(RICH 1 OE)using plasmid transfection;the RICH1 gene was silenced using siRNA fragment(siRICH1);and the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3 a1,and Acta2,were de-tected using RT-qPCR.Results RICH1 was signifi-cantly down-regulated in TGF-β1-treated MCFs;the expression levels of myocardial fibrosis marker genes,such as Col1 a1,Col3a1,and Acta2,were down-regu-lated in the RICH1 OE+TGF-β1 group;and in the siRICH1+TGF-β1 group,myocardial fibrosis marker genes,such as Col1 a1,Col3a1 and Acta2 were up-regulated at the expression level;phosphorylated SMAD2(p-SMAD2)and phosphorylated SMAD3(p-SMAD3)levels were down-regulated in the siRICH1 OE+TGF-β1 group.p-SMAD2 and P-SMAD3 levels were upregulated in the siRICH1+TGF-β1 group.Conclusion RICH1 inhibits TGF-β1-induced myo-cardial fibrosis;RICH1 inhibits TGF-β1-induced myo-cardial fibrosis by negatively regulating the SMAD2/3 signaling pathway.
3.The Influence of Diabetes, Hypertension, and Hyperlipidemia on the Onset of Age-Related Macular Degeneration in North China: The Kailuan Eye Study.
Yong Peng ZHANG ; Ya Xing WANG ; Jin Qiong ZHOU ; Qian WANG ; Yan Ni YAN ; Xuan YANG ; Jing Yan YANG ; Wen Jia ZHOU ; Ping WANG ; Chang SHEN ; Ming YANG ; Ya Nan LUAN ; Jin Yuan WANG ; Shou Ling WU ; Shuo Hua CHEN ; Hai Wei WANG ; Li Jian FANG ; Qian Qian WAN ; Jing Yuan ZHU ; Zi Han NIE ; Yu Ning CHEN ; Ying XIE ; J B JONAS ; Wen Bin WEI
Biomedical and Environmental Sciences 2022;35(7):613-621
Objective:
To analyze the prevalence of dry and wet age-related macular degeneration (AMD) in patients with diabetes, hypertension and hyperlipidemia, and to analyze the risk factors for AMD.
Methods:
A population-based cross-sectional epidemiologic study was conducted involving 14,440 individuals. We assessed the prevalence of dry and wet AMD in diabetic and non-diabetic subjects and analyzed the risk factors for AMD.
Results:
The prevalence of wet AMD in diabetic and non-diabetic patients was 0.3% and 0.5%, respectively, and the prevalence of dry AMD was 17% and 16.4%, respectively. The prevalence of wet AMD in healthy, hypertensive, hyperlipidemic, and hypertensive/hyperlipidemic populations was 0.5%, 0.3%, 0.2%, and 0.7%, respectively. The prevalence of dry AMD in healthy, hypertensive, hyperlipidemic, and hypertensive/hyperlipidemic populations was 16.6%, 16.2%, 15.2%, and 17.2%, respectively. Age, sex, body mass index, and use of hypoglycemic drugs or lowering blood pressure drugs were corrected in the risk factor analysis of AMD. Diabetes, diabetes/hypertension, diabetes/hyperlipidemia, and diabetes/hypertension/hyperlipidemia were analyzed. None of the factors analyzed in the current study increased the risk for the onset of AMD.
Conclusion
There was no significant difference in the prevalence of wet and dry AMD among diabetic and non-diabetic subjects. Similarly, there was no significant difference in the prevalence of wet and dry AMD among subjects with hypertension and hyperlipidemia. Diabetes co-existing with hypertension and hyperlipidemia were not shown to be risk factors for the onset of dry AMD.
Cross-Sectional Studies
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Diabetes Mellitus/epidemiology*
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Humans
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Hyperlipidemias/epidemiology*
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Hypertension/epidemiology*
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Macular Degeneration/etiology*
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Risk Factors
4.Evaluation and optimization of content determination method of Chrysanthemi Flos in Chinese Pharmacopoeia.
Dan YANG ; Zi-Xuan NIE ; Fei TENG ; Shan-Shan LIU ; Li-Xin YANG ; Jing NIE ; Jing-Jing ZHU ; Zhi-Min WANG
China Journal of Chinese Materia Medica 2022;47(5):1286-1292
This study discovered that the resolution of 3,5-O-dicaffeoylquinic acid(isochlorogenic acid A) in the content determination method of Chrysanthemi Flos in Chinese Pharmacopoeia(ChP)(2020 edition) was poor, which affected accurate quantification. We tested the method in ChP with chromatographic columns of seven brands to clarify the problems in the existing method, optimized the chromatographic conditions by adjusting the mobile phase composition and elution ratio and replacing the chromatographic column packing, and carried out the reproducibility assay for the new method. The two methods were compared for the content determination results of Chrysanthemi Flos prepared from six different varieties. As evaluated by the resolution based on different chromatographic columns of seven brands, the existing method failed to separate isochlorogenic acid A and isochlorogenic acid D well. The peaks of the two components were not completely separated on three chromatographic columns, and isochlorogenic acid A and isochlorogenic acid D generated a co-effluent peak in the other four columns. Isochlorogenic acid A and isochlorogenic acid D could be completely separated under the optimized chromatographic conditions. The difference in the peak areas of isochlorogenic acid A+isochlorogenic acid D obtained by the optimized method and the method in ChP was not significant, with deviation less than 3.0%, which further proved that the result measured by the method in ChP was the co-effluent of isochlorogenic acid A and isochlorogenic acid D. The optimized method can ensure the accurate quantification of isochlorogenic acid A. The existing content determination method of Chrysanthemi Flos has the problem of poor resolution. It is recommended to revise the chromatographic conditions for the content determination method of Chrysanthemi Flos to improve the resolution of isochlorogenic acid A and ensure its accurate quantification.
China
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Chromatography, High Pressure Liquid/methods*
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Drugs, Chinese Herbal/chemistry*
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Flowers/chemistry*
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Reproducibility of Results
5.Rapid monitoring five components of ethanol precipitation process of Shenzhiling oral solution using near infrared spectroscopy.
Tong-Tong LI ; Tian HU ; Lei NIE ; Li-Xuan ZANG ; Ying-Zi ZENG ; Heng-Chang ZANG
China Journal of Chinese Materia Medica 2016;41(19):3543-3550
To develop a method for the rapid monitoring of five components during the alcohol precipitation process of Shenzhiling oral solution using near infrared spectroscopy(NIRS).The contents of five components detemined by high performance liquid chromatography(HPLC) were used as the reference values, and the NIRS based partial least square regression(PLSR) models were used to monitor the concentrations of paeoniflorin, albiflorin, liquiritin, cinnamic acid and glycyrrhizic acid during the alcohol precipitation process of Shenzhiling oral solution, which were optimized and verified through comparing of different spectral pre-processing and variables selection methods. Determination coefficients(Rcal2 and Rpred2), root mean squares error of prediction (RMSEP), root mean squares error of calibration(RMSEC) and ratiao of performance to deviation(RPD) were applied to evaluate the performance of the models, and the corresponding values were 0.993 3 and 0.997 6, 0.084 9 g•L⁻¹, 0.073 3 g•L⁻¹ and 14.7 for paeoniforin; 0.991 4, 0.992 7, 0.028 1 g•L⁻¹, 0.030 5 g•L⁻¹ and 10.2 for albiforin; 0.955 3, 0.976 1, 0.012 0 g•L⁻¹, 0.012 3 g•L⁻¹ and 5.1 for liquiritin; 0.958 8, 0.990 3, 0.003 89 g•L⁻¹, 0.002 89 g•L⁻¹ and 7.1 for cinnamic acid; 0.982 0, 0.986 3, 0.053 8 g•L⁻¹, 0.059 0 g•L⁻¹, 7.2 for glycyrrhizic acid, respectively. The results indicated that the presented approach was effectively for the quantitative monitoring of the alcohol precipitation process of Shenzhiling oral solution.

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