1.A new lupane-type triterpenoid from Dichroa hirsuta.
Lu-Fen LENG ; Chun-Die YI ; Wen-Kai ZHAO ; Jun-Lin YIN ; Guang-Zhi ZENG
China Journal of Chinese Materia Medica 2019;44(9):1829-1835
The chemical constituents from methanol extract of Dichroa hirsuta were separated by silica gel and Sephadex LH-20 column chromatography,high pressure preparative liquid chromatography( HPLC) and recrystallization. Their structures were elucidated by NMR and MS. Nine compounds were obtained and their structures were identified as 3β,21α-O-diacetyl-lup-9( 11)-en-7β-ol( 1),( Z)-methyl p-hydroxycinnamate( 2),cis-p-coumaric acid ethyl ester( 3),( E)-methyl p-hydroxycinnamate( 4),trans-p-coumaric acid ethyl ester( 5),4( 3 H)-quinazolinone( 6),7-hydroxycoumarin( 7),hydrangenol( 8) and thunberginol C( 9). Compound 1 is a new lupane-type triterpenoid,and compounds 1-5,8-9 were firstly isolated from this plant. Dual reporter assay results showed that compounds 2-5 could activate the Nrf2-ARE signaling pathway.
Chromatography, High Pressure Liquid
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Drugs, Chinese Herbal
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Hydrangea
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chemistry
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Phytochemicals
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isolation & purification
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pharmacology
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Triterpenes
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isolation & purification
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pharmacology
2.Diagnosis status and genetic characteristics analysis of Fanconi anemia in China.
Niu LI ; Die Xin HU ; Xia QIN ; Yi Ping ZHU ; Ming ZHOU ; Lan HE ; Li Xian CHANG ; Xiao Jun XU ; Yan DAI ; Xing Yu CAO ; Kai CHEN ; Hong Mei WANG ; Chun Jing WANG ; Yue Lin HE ; Xiao Wen QIAN ; Lan Ping XU ; Jing CHEN
Chinese Journal of Pediatrics 2023;61(10):889-895
Objective: To analyze the clinical and molecular diagnostic status of Fanconi anemia (FA) in China. Methods: The General situation, clinical manifestations and chromosome breakage test and genetic test results of 107 pediatric FA cases registered in the Chinese Blood and Marrow Transplantation Registry Group (CBMTRG) and the Chinese Children Blood and Marrow Transplantation Registry Group (CCBMTRG) from August 2009 to January 2022 were analyzed retrospectively. Children with FANCA gene variants were divided into mild and severe groups based on the type of variant, and Wilcoxon-test was used to compare the phenotypic differences between groups. Results: Of the 176 registered FA patients, 69 (39.2%) cases were excluded due to lack of definitive genetic diagnosis results, and the remaining 107 children from 15 hospitals were included in the study, including 70 males and 37 females. The age at transplantation treatment were 6 (4, 9) years. The enrolled children were involved in 10 pathogenic genes, including 89 cases of FANCA gene, 7 cases of FANCG gene, 3 cases of FANCB gene, 2 cases of FANCE gene and 1 case each of FANCC, FANCD1, FANCD2, FANCF, FANCJ, and FANCN gene. Compound heterozygous or homozygous of loss-of-function variants account for 69.2% (72/104). Loss-of-function variants account for 79.2% (141/178) in FANCA gene variants, and 20.8% (37/178) were large exon deletions. Fifty-five children (51.4%) had chromosome breakage test records, with a positive rate of 81.8% (45/55). There were 172 congenital malformations in 80 children.Café-au-Lait spots (16.3%, 28/172), thumb deformities (16.3%,28/172), polydactyly (13.9%, 24/172), and short stature (12.2%, 21/172) were the most common congenital malformations in Chinese children with FA. No significant difference was found in the number of congenital malformations between children with severe (50 cases) and mild FANCA variants (26 cases) (Z=-1.33, P=0.185). Conclusions: FANCA gene is the main pathogenic gene in children with FA, where the detection of its exon deletion should be strengthened clinically. There were no phenotypic differences among children with different types of FANCA variants. Chromosome break test is helpful to determine the pathogenicity of variants, but its accuracy needs to be improved.
Male
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Female
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Humans
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Child
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Fanconi Anemia/genetics*
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Chromosome Breakage
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Retrospective Studies
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Exons
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China/epidemiology*
3.A cross-sectional study of prevalence of chronic kidney disease and related factors in adults in Anhui province.
Wei XU ; Xiu Ya XING ; Jing Qiao XU ; Dan CAO ; Qin HE ; Dan DAI ; Shang Chun JIA ; Qian Yao CHENG ; Yi Li LYU ; Luan ZHANG ; Ling LIANG ; Guo Die XIE ; Ye Ji CHEN ; Hua Dong WANG ; Zhi Rong LIU
Chinese Journal of Epidemiology 2022;43(11):1717-1723
Objective: To understand the prevalence of chronic kidney disease (CKD) and related factors in adults in Anhui province based on the data of Chinese Chronic Diseases and Nutrition Surveillance program (2018) in Anhui. Methods: Multi-stage stratified cluster random sampling was used to select participants aged ≥18 years. Moreover, questionnaire survey, body measurements and laboratory tests were conducted. The complex weighting method was used to estimate the prevalence of CKD in residents with different characteristics, and complex sampling data logistic regression model was used for multivariate analysis to identify related risk factors. Results: A total of 7 181 participants were included. The overall prevalence of CKD was 11.06% in adults in Anhui, and the prevalence was 12.49% in women and 9.59% in men (P<0.05). The moderate, high and very high risk for CKD progression were 8.66%, 2.02% and 0.38%, respectively. Multivariate analysis showed that age (OR=1.03, 95%CI: 1.00-1.05), BMI (OR=1.05, 95%CI: 1.01-1.09), being woman (OR=1.38,95%CI: 1.22-1.55), hypertension (OR=2.50, 95%CI: 1.76-3.56), diabetes (OR=2.28, 95%CI: 1.51-3.43), dyslipidemia (OR=1.26, 95%CI: 1.11-1.43) and hyperuricemia (OR=2.16, 95%CI: 1.68-2.78) were risk factors for CKD. Conclusion: The prevalence of CKD in adults in Anhui was relatively high and age, gender, BMI, hypertension, diabetes, dyslipidemia and hyperuricemia were found to be associated with the prevalence of CKD. To prevent CKD and its complications, attention should be paid to the management of related risk factors, including overweight and obesity, hypertension, diabetes, dyslipidemia and hyperuricemia.
Adult
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Male
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Female
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Humans
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Adolescent
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Cross-Sectional Studies
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Prevalence
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Hyperuricemia/epidemiology*
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Renal Insufficiency, Chronic/epidemiology*
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Hypertension/epidemiology*