1.Research progress on the changes of subchondral bone in osteoarthritis and its molecular mechanisms
Fudan University Journal of Medical Sciences 2017;44(2):231-237
Osteoarthritis (OA) is one of the most common chronic osteoarthritic diseases,which can involve the whole joint.Subchondral bone is an important part of the joint and has a close relationship to the development of OA.The changes and mechanisms of subchondral bone in OA are complex and remain disputes.In this review,we will discuss the advances of the molecular mechanisms of subchondral bone in OA,which include the pathological changes and the roles of the OPG/RANKL/RANK system,transforming growth factor β (TGFβ),estrogen-estrogen receptors and lipid metabolism in OA.
2.Study on the expression of ETFβin diabetic nephropathy and its relationship with lipotoxicity
Hua WANG ; Haojun ZHANG ; Tingting ZHAO ; Meihua YAN ; Xi DONG ; Sifan SUN ; Bingxuan ZHANG ; Ping LI
Chinese Journal of Comparative Medicine 2015;(5):5-8
Objective To detect the expression change of ETFβin diabetic nephropathy rats and study the role of ETFβin fatty acid-induced apoptosis in renal tubules.Methods Diabetic nephropathy model was established by intraperitoneal injection of streptozotocin and unilateral nephrectomy.In vivo ETFβexpression was detected in renal cortex, as well as tubular injury evaluated.In vitro fatty acid-induced apoptosis in renal tubular cells NRK 52E model was established and ETFβrecombinant plasmid was constructed to be transfected into NRK 52E cells and furtherly to observe the effect of ETFβover-expression on the fatty acid-induced apoptosis.Results In the rats model of diabetic nephropathy induced by streptozotocin injection and unilateral nephrectomy, ETFβmRNA and protein expression were decreased as obvious tubular damage occurred.Fatty acids could induce apoptosis in NRK 52E, and ETFβover-expression reduced the apoptosis.Conclusion The expression of ETFβis decreased in diabetic nephropathy model , and ETFβover-expression can reduce apoptosis induced by fatty acid in renal tubular cells.
3.Clinical and genetic risk factors for glucocorticoid-associated osteonecrosis of the femoral head: a prospective cohort study
Chang JIANG ; Zongfei JI ; Bingxuan HUA ; Hengfeng YUAN ; Wenshuai FAN ; Zhe WANG ; Hao WANG ; Liang ZHU ; Yi ZHOU ; Jifei CHEN ; Yuanwu CAO ; Huiyong CHEN ; Lindi JIANG ; Xinyuan WANG ; Zuoqin YAN
Chinese Journal of Orthopaedics 2021;41(14):929-937
Objective:To perform a prospective cohort study to identify individual susceptibility of glucocorticoid (GC) -associated osteonecrosis of the femoral head (GA-ONFH) and their clinical and genetic risk factors. Methods:The present prospective cohort study enrolled patients who received their first GC therapy between July 2015 and January 2018 at Zhongshan Hospital. All patients did not receive any GC treatment before enrollment. Further, they planned to start GC treatment with the dose (equivalent prednisone) of ≥30 mg/d, lasted ≥3 weeks, or pulse dose ≥200 mg/d, lasted ≥3 d. Blood samples were collected before GC treatment to evaluate bone metabolism and its released factors. Hip MRI was performed at the 1st, 3rd, 6th, 12th and 24th month to diagnose GA-ONFH. All patients were followed-up for ≥2 years. The endpoint was regarded as diagnosis of GA-ONFH or completion of 2 years follow-up. Lasso regression was performed to determine which clinical features were associated with GA-ONFH. A nested case-control sub-cohort (A, n=12) was established prospectively based on the main cohort by 1∶1 matching. Whole exome sequencing was performed to screen differential and functional candidate single nucleotide polymorphisms and insertion-deletions (SNP/InDels). Another sub-cohort (B, n=50) was constructed retrospectively in patients with GA-ONFH and non-ONFH patients received standard high dose GC treatment for more than two years. The candidate SNP/InDels were verified by Sanger sequencing based on the patients from sub-cohort B. Results:A total of 96 patients were enrolled of which 88 of them (32 males and 56 females, mean age 42.30 years) completed follow-up. Eight cases (9.1%) were diagnosed with GA-ONFH. The median time from the start of GC therapy to the diagnosis of ONFH was 53.00(34.00,13.50) days. The baseline characteristics, such as age, sex and body mass index, indicated no significant difference between the ONFH group and the non-ONFH group. The cumulative GC dose of the ONFH patients in the first month was higher than that of non-ONFH [32.74(29.55, 47.05) mg/kg vs. 24.00(21.10, 29.45) mg/kg, Z=-2.410, P=0.016]. However, there was no significant difference of patients who underwent pulse therapy (37.5% vs. 10.0%, adjusted χ 2=2.829, P=0.093). The ratio of serum apolipoprotein B/apolipoprotein A1 (ApoB/ApoA1) in patients with ONFH was higher than that in non-ONFH group before GC use [0.95(0.80, 1.50) vs. 0.70(0.60, 0.80), Z=-2.875, P=0.000]. Due to the multicollinearity, Lasso regression model was performed to reduce overfitting. All variables were included in the model. The results suggested that higher ApoB/ApoA1 ratio, lower serum β-c-terminal telopeptide (β-CTX) and higher cumulative GC dose in the first month were the top three risk factors of GA-ONFH. This model had an accuracy of 0.982 in internal validation. Seven differential candidate SNP/InDels were found by whole exome sequencing of sub-cohort A. We further verified these SNP/InDels in sub-cohort B. The patients with COLEC12 mutation (rs2305027, G1816A) were at risk of GA-ONFH ( OR=6.00, 95% CI: 1.17, 30.73). Conclusion:Higher first-month GC dose, lower serum β-CTX level before treatment, higher ApoB/ApoA1 ratio and COLEC12 mutation (rs2305027, G1816A) could increase the risk of GA-ONFH.
4.Role of circadian gene Clock during differentiation of mouse pluripotent stem cells.
Chao LU ; Yang YANG ; Ran ZHAO ; Bingxuan HUA ; Chen XU ; Zuoqin YAN ; Ning SUN ; Ruizhe QIAN
Protein & Cell 2016;7(11):820-832
Biological rhythms controlled by the circadian clock are absent in embryonic stem cells (ESCs). However, they start to develop during the differentiation of pluripotent ESCs to downstream cells. Conversely, biological rhythms in adult somatic cells disappear when they are reprogrammed into induced pluripotent stem cells (iPSCs). These studies indicated that the development of biological rhythms in ESCs might be closely associated with the maintenance and differentiation of ESCs. The core circadian gene Clock is essential for regulation of biological rhythms. Its role in the development of biological rhythms of ESCs is totally unknown. Here, we used CRISPR/CAS9-mediated genetic editing techniques, to completely knock out the Clock expression in mouse ESCs. By AP, teratoma formation, quantitative real-time PCR and Immunofluorescent staining, we did not find any difference between Clock knockout mESCs and wild type mESCs in morphology and pluripotent capability under the pluripotent state. In brief, these data indicated Clock did not influence the maintaining of pluripotent state. However, they exhibited decreased proliferation and increased apoptosis. Furthermore, the biological rhythms failed to develop in Clock knockout mESCs after spontaneous differentiation, which indicated that there was no compensational factor in most peripheral tissues as described in mice models before (DeBruyne et al., 2007b). After spontaneous differentiation, loss of CLOCK protein due to Clock gene silencing induced spontaneous differentiation of mESCs, indicating an exit from the pluripotent state, or its differentiating ability. Our findings indicate that the core circadian gene Clock may be essential during normal mESCs differentiation by regulating mESCs proliferation, apoptosis and activity.
Animals
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Apoptosis
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Base Sequence
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CLOCK Proteins
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genetics
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metabolism
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CRISPR-Cas Systems
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Cell Differentiation
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Cell Proliferation
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Cellular Reprogramming
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Circadian Clocks
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genetics
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Gene Editing
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Gene Expression Regulation
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Gene Knockout Techniques
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Hepatocyte Nuclear Factor 3-beta
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genetics
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metabolism
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Induced Pluripotent Stem Cells
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cytology
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metabolism
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Mice
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Mouse Embryonic Stem Cells
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cytology
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metabolism
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SOXB1 Transcription Factors
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genetics
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metabolism