1.Serum Pharmacological Study of Baihe Zhimu Decoction in Protecting Rat Ovarian Granular Cells
Huiqin XU ; Huafu WANG ; Qin GAO ; Baochang CAI
Journal of Guangzhou University of Traditional Chinese Medicine 2004;0(06):-
Objective To observe the effect of serum containing Baihe Zhimu Decoction(BZD) on ovarian granular cells(GC) injury induced by cadmium chloride(CdCl2) in rats.Methods Totally fifteen female SD rats aged 23 days,3 months and 12 months(5 rats in each age group) were enrolled into the study.The number of ovary GC was counted.The growth of GC within 10 days was observed continuously for the selection of the well-growth ovarian GC.On the third day of the culturing,the screened ovary GC was cultured for another 48 hours in 10,20,40,60 and 80?mol/L CdCl2 solution respectively at 37℃ with 5% CO2 added.The optical density(OD) at 490nm was determined by methyl thiazolyl tetrazolium(MTT) assay for the screen of the optimal concentration of CdCl2 solution.Then the ovary GC were cultured in 96-well plate for 72 hours with serum containing BZD(at the final concentration of 1.25%,2.5%,5%,10% and 20% respectively) added.Meanwhile,the blank control group(cultured with 10% DMEM culture medium),model group(cultured with 10% DMEM culture medium and optimal concentration of CdCl2 solution),and blank serum group(cultured with blank serum and optimal concentration of CdCl2 solution)were set up.After the culturing for 48 hours,the OD value of all the groups was detected to evaluate the effect of BZD-containing serum on CdCl2-induced ovarian GC injury in rats.Results The number of GC in 23-day rats was the biggest and their growth was the best in the manner of exponential growth,indicating that GC in 23-day rats was suitable for the modeling.Ovarian injury was increased with the concentration of CdCl2,and 40?mol/L was the optimal concentration for CdCl2,which induced the shrinkage of GC edge.Serum containing BZD promoted the growth of GC,and counteracted the CdCl2-induced GC injury.Conclusion The protective mechanism of BZD-containing serum on CdCl2-induced GC injury is probably related with the counteraction of CdCl2-induced injury and with the increase of ovarian GC activity and quantity.
2.Effect of Baihe Zhimu Decoction on serum sex hormone and uterus index of ovariectomized rats with kidney-yin deficiency
Huafu WANG ; Huiqin XU ; Minmin CHEN ; Baochang CAI
China Journal of Traditional Chinese Medicine and Pharmacy 2005;0(04):-
Objective: To observe the effect of Baihe Zhimu Decoction on serum sex hormone and uterus index of ovariectomized rats with kidney-yin deficiency. Methods: 3-month years old femal SD rats which were ovariectomized were divided randomLy into 6 groups: ovariectomized, Baihe Zhimu DecoctionⅠ, Baihe Zhimu DecoctionⅡ, Baihe Zhimu Decoction Ⅲ, Baihe Zhimu Decoction Ⅳ, then the normal group was set. The rats were induced to kidney-yin deficiency by using etraiodothyronine, then ig Baihe Zhimu Decoction for 4 weeks. The levels of sex hormone E2, FSH, LH in serum were detected and the indexes of uterus were caculated to observe the effect of Baihe Zhimu Decoction on sexual hormone and sexual organ in ovariectomized rats with kidney-yin deficiency. Results: Compared with normal group, the index of uterus and E2 level declined, and the level of FSH and LH increased (P
3.Related factors of serum vitamine D level in 4-15-year-olds children in southwest Zhejiang
Huizhu LI ; Huafu WANG ; Guiai ZHENG ; Jiaqi CHEN ; Houxing LEI ; Huisu FAN ; Jihong SHI ; Yan HUANG
Chinese Journal of Clinical Nutrition 2016;24(2):110-114
Objective To investigate vitamin D ( VD) level and its influencing factors in 4-15-year-old children in southwest of Zhejiang province, so as to guide intervention strategy for improving VD level. Methods A total of 2 620 4 -15-year-old healthy children who visited Lishui People's Hospital for regular physical check-up between January and December 2014 were divided into 4 age groups, namely 4 -6 years (kindergarten), 7 -9 years (lower grades in primary school), 10 -12 years (higher grades in primary school), and 13-15 years (junior middle school).We randomly selected 200 children from each age group using a random number table.A survey using self-developed questionnaire was conducted to obtain information regarding diet, exposure to sunlight, and VD supplement.Serum 25-( OH) D level was measured with electro-chemiluminescence.VD nutritional status and composition, diet, sunlight exposure, VD supplement were com-pared among the groups.Results In southwest Zhejiang, the mean VD level in primary and middle school students was ( 24.76 ±8.39 ) μg/L, clinical deficiency rate was 31.5%, subclinical deficiency rate was 45.0%, and only 23.5% reached the appropriate level, which was even lower ( 14.5%) in junior middle school students.The VD deficiency rate elevated significantly along with the growth of age (P=0.036).The level of VD was positively correlated with sunlight exposure and VD supplementation, and showed significant in-ter-group differences ( all P<0.05 ) .Conclusions The nutritional status of VD is unfavorable and sunlight exposure insufficient in primary and middle school students in southwest Zhejiang province.We should encour-age students to take more outdoor activities and increase sunlight exposure to improve their VD nutritional sta-tus.Children >7 years should be given more attention to in the intervention of increasing sunlight exposure. Students with difficulties in getting adequate sunlight exposure need VD supplements.
4.The Role of miR-34c-5p in Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Bin LIU ; Wei GAN ; Zhang JIN ; Meng WANG ; Guopeng CUI ; Hongyu ZHANG ; Huafu WANG
International Journal of Stem Cells 2021;14(3):286-297
Background and Objectives:
Osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) plays a critical role in the success of lumbar spinal fusion with autogenous bone graft. This study aims to explore the role and specific mechanism of miR-34c-5p in osteogenic differentiation of BMSCs.
Methods:
and Results: Rabbit model of lumbar fusion was established by surgery. The osteogenic differentiation dataset of mesenchymal stem cells was obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed miRNAs were analyzed using R language (limma package). The expressions of miR-34c-5p, miR-199a-5p, miR-324-5p, miR-361-5p, RUNX2, OCN and Bcl-2 were determined by qRT-PCR and Western blot. ELISA, Alizarin red staining and CCK-8 were used to detect the ALP content, calcium deposition and proliferation of BMSCs. The targeted binding sites between miR-34c-5p and Bcl-2 were predicted by the Target database and verified using dual-luciferase reporter assay. MiR-34c-5p expression was higher in rabbit lumbar fusion model and differentiated BMSCs than normal rabbit or BMSCs. The content of ALP and the deposition of calcium increased with the osteogenic differentiation of BMSCs. Upregulation of miR-34c-5p reduced cell proliferation and promoted ALP content, calcium deposition, RUNX2 and OCN expression compared with the control group. The effects of miR-34c-5p inhibitor were the opposite. In addition, miR-34c-5p negatively correlated with Bcl-2. Upregulation of Bcl-2 reversed the effects of miR-34c-5p on ALP content, calcium deposition, and the expressions of RUNX2 and OCN.
Conclusions
miR-34c-5p could promote osteogenic differentiation and suppress proliferation of BMSCs by inhibiting Bcl-2.
5.The Role of miR-34c-5p in Osteogenic Differentiation of Bone Marrow Mesenchymal Stem Cells
Bin LIU ; Wei GAN ; Zhang JIN ; Meng WANG ; Guopeng CUI ; Hongyu ZHANG ; Huafu WANG
International Journal of Stem Cells 2021;14(3):286-297
Background and Objectives:
Osteogenic differentiation of bone marrow mesenchymal stem cells (BMSCs) plays a critical role in the success of lumbar spinal fusion with autogenous bone graft. This study aims to explore the role and specific mechanism of miR-34c-5p in osteogenic differentiation of BMSCs.
Methods:
and Results: Rabbit model of lumbar fusion was established by surgery. The osteogenic differentiation dataset of mesenchymal stem cells was obtained from the Gene Expression Omnibus (GEO) database, and differentially expressed miRNAs were analyzed using R language (limma package). The expressions of miR-34c-5p, miR-199a-5p, miR-324-5p, miR-361-5p, RUNX2, OCN and Bcl-2 were determined by qRT-PCR and Western blot. ELISA, Alizarin red staining and CCK-8 were used to detect the ALP content, calcium deposition and proliferation of BMSCs. The targeted binding sites between miR-34c-5p and Bcl-2 were predicted by the Target database and verified using dual-luciferase reporter assay. MiR-34c-5p expression was higher in rabbit lumbar fusion model and differentiated BMSCs than normal rabbit or BMSCs. The content of ALP and the deposition of calcium increased with the osteogenic differentiation of BMSCs. Upregulation of miR-34c-5p reduced cell proliferation and promoted ALP content, calcium deposition, RUNX2 and OCN expression compared with the control group. The effects of miR-34c-5p inhibitor were the opposite. In addition, miR-34c-5p negatively correlated with Bcl-2. Upregulation of Bcl-2 reversed the effects of miR-34c-5p on ALP content, calcium deposition, and the expressions of RUNX2 and OCN.
Conclusions
miR-34c-5p could promote osteogenic differentiation and suppress proliferation of BMSCs by inhibiting Bcl-2.
6. Deep Natural Image Reconstruction from Human Brain Activity Based on Conditional Progressively Growing Generative Adversarial Networks
Wei HUANG ; Hongmei YAN ; Chong WANG ; Xiaoqing YANG ; Jiyi LI ; Huafu CHEN ; Zhentao ZUO ; Jiang ZHANG
Neuroscience Bulletin 2021;37(3):369-379
Brain decoding based on functional magnetic resonance imaging has recently enabled the identification of visual perception and mental states. However, due to the limitations of sample size and the lack of an effective reconstruction model, accurate reconstruction of natural images is still a major challenge. The current, rapid development of deep learning models provides the possibility of overcoming these obstacles. Here, we propose a deep learning-based framework that includes a latent feature extractor, a latent feature decoder, and a natural image generator, to achieve the accurate reconstruction of natural images from brain activity. The latent feature extractor is used to extract the latent features of natural images. The latent feature decoder predicts the latent features of natural images based on the response signals from the higher visual cortex. The natural image generator is applied to generate reconstructed images from the predicted latent features of natural images and the response signals from the visual cortex. Quantitative and qualitative evaluations were conducted with test images. The results showed that the reconstructed image achieved comparable, accurate reproduction of the presented image in both high-level semantic category information and low-level pixel information. The framework we propose shows promise for decoding the brain activity.