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Feng X, Tao J, Wang Y, Long AY, He LJ, Zhang N. [Clinicopathological and molecular characteristics of angiomatoid fibrous histiocytoma in children]. Zhonghua Bing Li Xue Za Zhi 2024; 53:483-485. [PMID: 38678331 DOI: 10.3760/cma.j.cn112151-20231026-00316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/29/2024]
MESH Headings
- Humans
- Female
- Child
- Male
- Child, Preschool
- Histiocytoma, Malignant Fibrous/pathology
- Histiocytoma, Malignant Fibrous/metabolism
- Histiocytoma, Malignant Fibrous/genetics
- Histiocytoma, Malignant Fibrous/diagnosis
- Histiocytoma, Malignant Fibrous/surgery
- Actins/metabolism
- RNA-Binding Protein EWS/genetics
- RNA-Binding Protein EWS/metabolism
- 12E7 Antigen/metabolism
- In Situ Hybridization, Fluorescence
- Anaplastic Lymphoma Kinase/genetics
- Anaplastic Lymphoma Kinase/metabolism
- Soft Tissue Neoplasms/pathology
- Soft Tissue Neoplasms/genetics
- Soft Tissue Neoplasms/metabolism
- Soft Tissue Neoplasms/surgery
- Antigens, CD/metabolism
- Oncogene Proteins, Fusion/genetics
- Oncogene Proteins, Fusion/metabolism
- Cell Adhesion Molecules/metabolism
- Cell Adhesion Molecules/genetics
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Affiliation(s)
- X Feng
- Department of Pathology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450018, China
| | - J Tao
- Department of Pathology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450018, China
| | - Y Wang
- Department of Pathology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450018, China
| | - A Y Long
- Department of Pathology, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital Zhengzhou Children's Hospital, Zhengzhou 450018, China
| | - L J He
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - N Zhang
- Department of Pathology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
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Shen L, Ding J, Wang Y, Fan W, Feng X, Liu K, Qin X, Shao Z, Li R. Spatial-temporal trends in leprosy burden and its associations with socioeconomic and physical geographic factors: results from the Global Burden of Disease Study 2019. Public Health 2024; 230:172-182. [PMID: 38560955 DOI: 10.1016/j.puhe.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 02/23/2024] [Accepted: 03/05/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVES The purpose of our study was to assess the multiscalar changes in leprosy burden and its associated risk factors over the last three decades. STUDY DESIGN We conducted an in-depth examination of leprosy's spatial-temporal trends at multiple geographical scale (global, regional, and national), utilizing information from Global Burden of Disease, Injuries, and Risk Factors Study (GBD 2019). METHODS Incidence and the estimated annual percentage change (EAPC) in age-standardized incidence rate (ASIR) of leprosy were determined, with countries categorized based on leprosy incidence changes. We examined socioeconomic and physical geography influences on leprosy incidence via Spearman correlation analysis, using ternary phase diagrams to reveal the synergetic effects on leprosy occurrence. RESULTS Globally, incident cases of leprosy decreased by 27.86% from 1990 to 2019, with a reduction in ASIR (EAPC = -2.53), yet trends were not homogeneous across regions. ASIR and EAPC correlated positively with sociodemographic index (SDI), and an ASIR growth appeared in high SDI region (EAPC = 3.07). Leprosy burden was chiefly distributed in Tropical Latin America, Oceania, Central Sub-Saharan Africa, and South Asia. Negative correlations were detected between the incidence of leprosy and factors of SDI, GDP per capita, urban population to total population, and precipitation, whereas the number of refugee population, temperature, and elevation showed opposite positive results. CONCLUSIONS Despite a global decline in leprosy over the past three decades, the disparities of disease occurrence at regional and national scales still persisted. Socioeconomic and physical geographic factors posed an obvious influence on the transmission risk of leprosy. The persistence and regional fluctuations of leprosy incidence necessitate the ongoing dynamic and multilayered control strategies worldwide in combating this ancient disease.
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Affiliation(s)
- L Shen
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
| | - J Ding
- School of Public Health, Wuhan University, Wuhan 430071, China
| | - Y Wang
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
| | - W Fan
- School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
| | - X Feng
- School of Public Health, Fudan University, Shanghai 200032, China
| | - K Liu
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an 710032, China.
| | - X Qin
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an 710032, China; School of Public Health, Baotou Medical College, Baotou 014000, China.
| | - Z Shao
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an 710032, China.
| | - R Li
- Department of Epidemiology, Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Air Force Medical University, Xi'an 710032, China.
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Zhang Y, Wei J, Feng X, Lin Q, Deng J, Yuan Y, Li M, Zhai B, Chen J. Folic acid supplementation prevents high body fat-induced bone loss through TGR5 signaling pathways. Food Funct 2024; 15:4193-4206. [PMID: 38506303 DOI: 10.1039/d4fo00404c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/21/2024]
Abstract
Osteoporosis caused by bone loss is one of the serious global public health problems. Folic acid is a B vitamin with multiple physiological functions such as lipid regulation and antioxidant capacity, and its potential to improve bone loss has attracted our attention. Through NHANES database analysis, we found that folic acid intake was significantly correlated with whole-body bone mineral density (BMD) in people aged 20-60 years, and the association may be mediated by the body fat rate. Male C57Bl/6 mice were fed either a normal diet or a high-fat diet, and folic acid was added to drinking water for supplementation. Our results indicated that mice with high body fat showed bone microstructure damage and bone loss, while folic acid supplementation improved bone quality. At the same time, we found that mice with high body fat exhibited abnormal blood lipids, dysregulation of intestinal flora, and metabolic disorders. Folic acid supplementation improved these phenomena. Through the network analysis of intestinal flora and metabolites, we found that LCA and TGR5 may play important roles. The results showed that folic acid promoted the expression of LCA and TGR5 in mice, increased the phosphorylation of AMPK, and decreased the phosphorylation of NF-κB and ERK, thereby reducing bone loss. In summary, folic acid intake is closely related to BMD, and folic acid supplementation can prevent high body fat-induced bone loss. Our study provides new ideas and an experimental basis for preventing bone loss and osteoporosis.
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Affiliation(s)
- Yaxi Zhang
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Jieqiong Wei
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Xiangling Feng
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Qian Lin
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Jing Deng
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Yuehan Yuan
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Min Li
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Bingfang Zhai
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
| | - Jihua Chen
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410008, China.
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Yang Q, Yi SH, Fu BS, Zhang T, Zeng KN, Feng X, Yao J, Tang H, Li H, Zhang J, Zhang YC, Yi HM, Lyu HJ, Liu JR, Luo GJ, Ge M, Yao WF, Ren FF, Zhuo JF, Luo H, Zhu LP, Ren J, Lyu Y, Wang KX, Liu W, Chen GH, Yang Y. [Clinical application of split liver transplantation: a single center report of 203 cases]. Zhonghua Wai Ke Za Zhi 2024; 62:324-330. [PMID: 38432674 DOI: 10.3760/cma.j.cn112139-20231225-00297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Objective: To investigate the safety and therapeutic effect of split liver transplantation (SLT) in clinical application. Methods: This is a retrospective case-series study. The clinical data of 203 consecutive SLT, 79 living donor liver transplantation (LDLT) and 1 298 whole liver transplantation (WLT) performed at the Third Affiliated Hospital of Sun Yat-sen University from July 2014 to July 2023 were retrospectively analyzed. Two hundred and three SLT liver grafts were obtained from 109 donors. One hundred and twenty-seven grafts were generated by in vitro splitting and 76 grafts were generated by in vivo splitting. There were 90 adult recipients and 113 pediatric recipients. According to time, SLT patients were divided into two groups: the early SLT group (40 cases, from July 2014 to December 2017) and the mature SLT technology group (163 cases, from January 2018 to July 2023). The survival of each group was analyzed and the main factors affecting the survival rate of SLT were analyzed. The Kaplan-Meier method and Log-rank test were used for survival analysis. Results: The cumulative survival rates at 1-, 3-, and 5-year were 74.58%, 71.47%, and 71.47% in the early SLT group, and 88.03%, 87.23%, and 87.23% in the mature SLT group, respectively. Survival rates in the mature SLT group were significantly higher than those in the early SLT group (χ2=5.560,P=0.018). The cumulative survival rates at 1-, 3- and 5-year were 93.41%, 93.41%, 89.95% in the LDLT group and 87.38%, 81.98%, 77.04% in the WLT group, respectively. There was no significant difference among the mature SLT group, the LDLT group and the WLT group (χ2=4.016, P=0.134). Abdominal hemorrhage, infection, primary liver graft nonfunction,and portal vein thrombosis were the main causes of early postoperative death. Conclusion: SLT can achieve results comparable to those of WLT and LDLT in mature technology liver transplant centers, but it needs to go through a certain time learning curve.
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Affiliation(s)
- Q Yang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - S H Yi
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - B S Fu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - T Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - K N Zeng
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - X Feng
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J Yao
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - H Tang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - H Li
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - Y C Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - H M Yi
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - H J Lyu
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - J R Liu
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - G J Luo
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - M Ge
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - W F Yao
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - F F Ren
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J F Zhuo
- Organ transplant Intensive Care Unit, the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - H Luo
- Anesthesia & Surgery Center, the Third Affiliated Hospital of Sun Yat-sen University ,Guangzhou 510630
| | - L P Zhu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - J Ren
- Ultrasound Department of the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - Y Lyu
- Ultrasound Department of the Third Affiliated Hospital of Sun Yat-sen University,Guangzhou 510630
| | - K X Wang
- Organ Donation Department of the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - W Liu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - G H Chen
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
| | - Y Yang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Organ Transplantation, Sun Yat-sen University, Guangdong Organ Transplantation Research Center, Guangdong Transplantation Medical Engineering Laboratory, Guangdong Provincial Key Laboratory of Liver Diseases, Guangzhou 510630
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Chen X, Luo C, Liu Y, Li T, Zhang H, Feng X. Effects of soyhulls with different particle size on the growth performance, blood indices and gut microbiota of yellow feather broilers. Br Poult Sci 2024; 65:191-202. [PMID: 38416127 DOI: 10.1080/00071668.2024.2308276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 12/08/2023] [Indexed: 02/29/2024]
Abstract
1. The objective of this study was to determine the effects of soyhulls with different particle sizes on the growth performance, blood indices and gut microbiota of yellow feather broilers.2. Total of 240 healthy, one-day-old, yellow feather broilers were randomly divided into four groups, with six pen replicates within each group and ten birds per pen. The control group birds were fed the basal diet (Control). For the treatment groups, 5% soyhulls with different particle sizes were included in the basal diet. The particle size geometric mean diameters (dgw) of the soyhulls in the three treatment groups were 299.69 μm (LowPS), 489.85 μm (MediumPS) and 734.83 μm (HighPS) with geometric standard deviation (Sgw) 1.75 μm, 1.62 μm and 1.67 μm, respectively.3. Results showed that the growth performance variables and organ indices were not different among the four groups. The MediumPS group had increased TG, T-CHO, ALT, HDL-C, and GSH-PX levels and decreased T-AOC levels, whereas LowPS and HighPS groups had increased HDL-C and GSH-PX levels (p < 0.05). Microbial diversity analysis showed that the intestinal microbiota of yellow feather broilers mainly included Firmicutes and Bacteroidetes. Inclusion of 5% soyhulls with different particle size had no effect on alpha diversity indices of caecal microbiota. The HighPS group had significantly higher relative abundance of Firmicutes spp. and lower Bacteroidetes spp. compared with the LowPS and MediumPS group but this was not different from the Control group. The relative abundance of Cyanobacteria spp. was significantly higher in the HighPS group than the other three groups. LEfSe analysis showed that there were more enriched biomarker taxa in the groups with soyhulls than the control group.4. Overall, the inclusion of soyhulls with different particle sizes had limited effects on growth performance, blood indices and caecal microbiota composition of yellow feather broilers.
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Affiliation(s)
- X Chen
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - C Luo
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - Y Liu
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - T Li
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - H Zhang
- School of Life Science and Engineering, Foshan University, Foshan, China
| | - X Feng
- School of Life Science and Engineering, Foshan University, Foshan, China
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Hanigan MD, Souza VC, Martineau R, Lapierre H, Feng X, Daley VL. A meta-analysis of the relationship between milk protein production and absorbed amino acids and digested energy in dairy cattle. J Dairy Sci 2024:S0022-0302(24)00564-2. [PMID: 38490550 DOI: 10.3168/jds.2024-24230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 02/09/2024] [Indexed: 03/17/2024]
Abstract
Milk protein production is the largest draw on AA supplies for lactating dairy cattle. Prior NRC predictions of milk protein production have been absorbed protein (MP)-based and utilized a first-limiting nutrient concept to integrate the effects of energy and protein, which yielded poor accuracy and precision (root mean squared error (RMSE) > 21%). Using a meta-data set gathered, various alternative equation forms considering MP, absorbed total essential AA (EAA), absorbed individual EAA, and digested energy (DE) supplies as additive drivers of production were evaluated, and all were found to be superior in statistical performance to the first limitation approach (RMSE = 14-15%). Inclusion of DE intake and a quadratic term for MP or absorbed EAA supplies were found to be necessary to achieve intercept estimates (non-productive protein use) that were similar to the factorial estimates of NASEM. The partial linear slope for MP was found to be 0.409, which is consistent with the observed slope bias of -0.34g/g when a slope of 0.67 was used for MP efficiency in a first-limiting nutrient system. Replacement of MP with the supplies of individual absorbed EAA expressed in g/d and a common quadratic across the EAA resulted in unbiased predictions with improved statistical performance as compared with MP-based models. Based on Akaike's Information Criterion (AIC) and biological consistency, the best equations included absorbed His, Ile, Lys, Met, Thr, the non-essential AA, and individual DE intakes from fatty acids, neutral detergent fiber, residual organic matter, and starch. Several also contained a term for absorbed Leu. These equations generally had RMSE of 14.3% and a concordance correlations (CCC) of 0.76. Based on the common quadratic and individual linear terms, milk protein response plateaus were predicted at approximately 320 g/d of absorbed His, Ile, and Lys; 395 g/d of absorbed Thr; 550 g/d of absorbed Met; and 70 g/d of absorbed Leu. Therefore, responses to each except Leu are almost linear throughout the normal in vivo range. De-aggregation of the quadratic term and parsing to individual absorbed EAA resulted in non-biological estimates for several EAA indicating over-parameterization. Expression of the EAA as g/100 g of total absorbed EAA or as ratios of DE intake and using linear and quadratic terms for each EAA resulted in similar statistical performance, but the solutions had identifiability problems and several non-biological parameter estimates. The use of ratios also introduced nonlinearity in the independent variables which violates linear regression assumptions. Further screening of the global model using absorbed EAA expressed as g/d with a common quadratic using an all-models approach, and exhaustive cross-evaluation indicated the parameter estimates for body weight, all 4 DE terms, His, Ile, Lys, Met, and the common quadratic term were stable, while estimates for Leu and Thr were known with less certainty. Use of independent and additive terms and a quadratic expression in the equation results in variable efficiencies of conversion. The additivity also provides partial substitution among the nutrients. Both of these prevent establishment of fixed nutrient requirements in support of milk protein production.
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Affiliation(s)
- M D Hanigan
- Department of Dairy Science, Virginia Tech, Blacksburg, VA 24061.
| | - V C Souza
- Department of Dairy Science, Virginia Tech, Blacksburg, VA 24061
| | - R Martineau
- Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada J1M 0C8
| | - H Lapierre
- Agriculture and Agri-Food Canada, Sherbrooke, QC, Canada J1M 0C8
| | - X Feng
- Department of Dairy Science, Virginia Tech, Blacksburg, VA 24061
| | - V L Daley
- Department of Dairy Science, Virginia Tech, Blacksburg, VA 24061
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Luo S, Feng X, Lin L, Li J, Chen W, Guo VY. Association of adverse and positive childhood experiences with health-related quality of life in adolescents. Public Health 2024; 228:92-99. [PMID: 38340507 DOI: 10.1016/j.puhe.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/28/2023] [Accepted: 01/07/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVES To investigate the independent impacts of adverse childhood experiences (ACEs) and positive childhood experiences (PCEs) on the health-related quality of life (HRQOL) of Chinese adolescents, and to explore the potential moderating role of PCEs in the association between ACEs and HRQOL. STUDY DESIGN This was a cross-sectional study. METHODS We surveyed 6982 students aged 11-20 in Guangzhou, China, from November to December 2021. Adolescents self-reported their ACEs, PCEs, and HRQOL by the Childhood Trauma Questionnaire Short Form, the Adverse Childhood Experiences-International Questionnaire, the Benevolent Childhood Experiences Scale, and the Paediatric Quality of Life Inventory Version 4.0, respectively. Multivariable linear regressions were performed to examine the associations between ACEs, PCEs, and HRQOL controlled for adolescents' age, gender, single-child status, boarding school attendance, primary caregivers, as well as parental age and occupational status. Likelihood-ratio tests were further applied to explore the moderating role of PCEs. RESULTS In the models that considered both ACEs and PCEs, ACEs were significantly associated with lower HRQOL scores in all dimensions, summary scales, and total scale (β = -13.88, 95% confidence interval [CI]: -14.82, -12.94 for total scale). Conversely, exposure to an above-average number of PCEs was associated with higher HRQOL scores in all measured aspects (β = 7.20, 95%CI: 6.57, 7.84 for total scale). PCEs significantly moderated the association between ACEs and all HRQOL dimensions, summary scales, and total scale, except school functioning. CONCLUSION ACEs and PCEs exert independent and opposite impacts on adolescents' HRQOL. PCEs could mitigate the negative impacts of ACEs. Enhancing resilience, like PCEs, may contribute to improving the HRQOL among adolescents who have exposed to ACEs.
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Affiliation(s)
- S Luo
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, China
| | - X Feng
- Guangzhou Huangpu District Center for Disease Control and Prevention, Guangzhou, Guangdong, China
| | - L Lin
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, China
| | - J Li
- Department of Biostatistics, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, China
| | - W Chen
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, China
| | - V Y Guo
- Department of Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong, China.
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Wang J, Feng X, Yuan W, Zhang J, Zhu S, Xu L, Li H, Song J, Rao X, Liao S, Wang Z, Si H. Development of terpenoid repellents against Aedes albopictus: a combined study of biological activity evaluation and computational modelling. SAR QSAR Environ Res 2024; 35:71-89. [PMID: 38323577 DOI: 10.1080/1062936x.2024.2306327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 01/06/2024] [Indexed: 02/08/2024]
Abstract
To explore novel terpenoid repellents, 22 candidate terpenoid derivatives were synthesized and tested for their electroantennogram (EAG) responses and repellent activities against Aedes albopictus. The results from the EAG experiments revealed that 5-(2-hydroxypropan-2-yl)-2-methylcyclohex-2-en-1-yl formate (compound 1) induced distinct EAG responses in female Aedes albopictus. At concentrations of 0.1, 1, 10, 100, and 1000 mg/L, the EAG response values for compound 1 were 179.59, 183.99, 190.38, 193.80, and 196.66 mV, demonstrating comparable or superior effectiveness to DEET. Repellent activity analysis indicated significant repellent activity for compound 1, closest to the positive control DEET. The in silico assessment of the ADMET profile of compound 1 indicates that it successfully passed the ADMET evaluation. Molecular docking studies exhibited favourable binding of compound 1 to the active site of the odorant binding protein (OBP) of Aedes albopictus, involving hydrophobic forces and hydrogen bond interactions with residues in the OBP pocket. The QSAR model highlighted the influential role of hydrogen-bonding receptors, positively charged surface area of weighted atoms, polarity parameters of molecules, and maximum nuclear-nuclear repulsion force of carbon-carbon bonds on the relative EAG response values of the tested compounds. This study holds substantial significance for the advancement of new terpenoid repellents.
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Affiliation(s)
- J Wang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - X Feng
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - W Yuan
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - J Zhang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - S Zhu
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - L Xu
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - H Li
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - J Song
- Department of Natural Sciences, University of Michigan-Flint, Flint, MI, USA
| | - X Rao
- College of Chemical Engineering, Huaqiao University, Xiamen, R.P. China
| | - S Liao
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - Z Wang
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
| | - H Si
- College of Forestry, Jiangxi Agricultural University, East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, Nanchang, R.P. China
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9
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Qiu J, Feng X, Chen H, Liu W, Liu W, Wu L, Gao X, Liu Y, Huang Y, Gong H, Qi Y, Xu Z, Zhao Q. Discovery of novel harmine derivatives as GSK-3β/DYRK1A dual inhibitors for Alzheimer's disease treatment. Arch Pharm (Weinheim) 2024; 357:e2300404. [PMID: 38010470 DOI: 10.1002/ardp.202300404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/22/2023] [Accepted: 11/02/2023] [Indexed: 11/29/2023]
Abstract
Multitarget-directed ligands (MTDLs) have recently attracted significant interest due to their superior effectiveness in multifactorial Alzheimer's disease (AD). Combined inhibition of two important AD targets, glycogen synthase kinase-3β (GSK-3β) and dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A), may be a breakthrough in the treatment of AD. Based on our previous work, we have designed and synthesized a series of novel harmine derivatives, investigated their inhibition of GSK-3β and DYRK1A, and evaluated a variety of biological activities. The results of the experiments showed that most of these compounds exhibited good activity against GSK-3β and DYRK1A in vitro. ZLQH-5 was selected as the best compound due to the most potent inhibitory effect against GSK-3β and DYRK1A. Molecular docking studies demonstrated that ZLQH-5 could form stable interactions with the ATP binding pocket of GSK-3β and DYRK1A. In addition, ZLQH-5 showed low cytotoxicity against SH-SY5Y and HL-7702, good blood-brain barrier permeability, and favorable pharmacokinetic properties. More importantly, ZLQH-5 also attenuated the tau hyperphosphorylation in the okadaic acid SH-SY5Y cell model. These results indicated that ZLQH-5 could be a promising dual-target drug candidate for the treatment of AD.
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Affiliation(s)
- Jingsong Qiu
- Bei Fang Hospital of Shenyang Pharmaceutical University, General Hospital of Northern Theater Command, Shenyang, China
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
| | - Xiangling Feng
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
| | - Huanhua Chen
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
| | - Wenwu Liu
- Bei Fang Hospital of Shenyang Pharmaceutical University, General Hospital of Northern Theater Command, Shenyang, China
| | - Wenjie Liu
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
| | - Limeng Wu
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
| | - Xudong Gao
- Department of Pharmacy, General Hospital of Northern Theater Command, Shenyang, China
| | - Yanfang Liu
- Department of Clinical Trial Center, General Hospital of Northern Theater Command, Shenyang, China
| | - Yaoguang Huang
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
| | - Hao Gong
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
| | - Yiming Qi
- Department of Graduate School, Dalian Medical University, Dalian, China
| | - Zihua Xu
- Bei Fang Hospital of Shenyang Pharmaceutical University, General Hospital of Northern Theater Command, Shenyang, China
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China
| | - Qingchun Zhao
- Bei Fang Hospital of Shenyang Pharmaceutical University, General Hospital of Northern Theater Command, Shenyang, China
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, China
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10
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Zhou R, Guo J, Feng X, Zhou W. Mechanisms of the role of proto-oncogene activation in promoting malignant transformation of mature B cells. Zhong Nan Da Xue Xue Bao Yi Xue Ban 2024; 49:113-121. [PMID: 38615172 PMCID: PMC11017026 DOI: 10.11817/j.issn.1672-7347.2024.230304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Indexed: 04/15/2024]
Abstract
Malignant tumors continue to pose a significant threat to human life and safety and their development is primarily due to the activation of proto-oncogenes and the inactivation of suppressor genes. Among these, the activation of proto-oncogenes possesses greater potential to drive the malignant transformation of cells. Targeting oncogenes involved in the malignant transformation of tumor cells has provided a novel approach for the development of current antitumor drugs. Several preclinical and clinical studies have revealed that the development pathway of B cells, and the malignant transformation of mature B cells into tumors have been regulated by oncogenes and their metabolites. Therefore, summarizing the key oncogenes involved in the process of malignant transformation of mature B cells and elucidating the mechanisms of action in tumor development hold significant importance for the clinical treatment of malignant tumors.
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Affiliation(s)
- Ruiqi Zhou
- Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410078.
| | - Jiaojiao Guo
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008
| | - Xiangling Feng
- Xiangya School of Public Health, Central South University, Changsha 410006, China
| | - Wen Zhou
- Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410078.
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11
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Zhu Y, Jian X, Chen S, An G, Jiang D, Yang Q, Zhang J, Hu J, Qiu Y, Feng X, Guo J, Chen X, Li Z, Zhou R, Hu C, He N, Shi F, Huang S, Liu H, Li X, Xie L, Zhu Y, Zhao L, Jiang Y, Li J, Wang J, Qiu L, Chen X, Jia W, He Y, Zhou W. Targeting gut microbial nitrogen recycling and cellular uptake of ammonium to improve bortezomib resistance in multiple myeloma. Cell Metab 2024; 36:159-175.e8. [PMID: 38113887 DOI: 10.1016/j.cmet.2023.11.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 10/17/2023] [Accepted: 11/30/2023] [Indexed: 12/21/2023]
Abstract
The gut microbiome has been found to play a crucial role in the treatment of multiple myeloma (MM), which is still considered incurable due to drug resistance. In previous studies, we demonstrated that intestinal nitrogen-recycling bacteria are enriched in patients with MM. However, their role in MM relapse remains unclear. This study highlights the specific enrichment of Citrobacter freundii (C. freundii) in patients with relapsed MM. Through fecal microbial transplantation experiments, we demonstrate that C. freundii plays a critical role in inducing drug resistance in MM by increasing levels of circulating ammonium. The ammonium enters MM cells through the transmembrane channel protein SLC12A2, promoting chromosomal instability and drug resistance by stabilizing the NEK2 protein. We show that furosemide sodium, a loop diuretic, downregulates SLC12A2, thereby inhibiting ammonium uptake by MM cells and improving progression-free survival and curative effect scores. These findings provide new therapeutic targets and strategies for the intervention of MM progression and drug resistance.
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Affiliation(s)
- Yinghong Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Xingxing Jian
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Shuping Chen
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Duanfeng Jiang
- Department of Hematology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qin Yang
- Department of Hematology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jingyu Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Jian Hu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yi Qiu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiangling Feng
- Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jiaojiao Guo
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Xun Chen
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Zhengjiang Li
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Ruiqi Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Cong Hu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Nihan He
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Fangming Shi
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Siqing Huang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Hong Liu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xin Li
- Department of Hematology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Lu Xie
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yan Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Lia Zhao
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yichuan Jiang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jian Li
- Peking Union Medical College Hospital, Chinese Academy Medical Society & Peking Union Medical College, Beijing, China
| | - Jinuo Wang
- Peking Union Medical College Hospital, Chinese Academy Medical Society & Peking Union Medical College, Beijing, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Wei Jia
- School of Chinese Medicine, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China.
| | - Yanjuan He
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
| | - Wen Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, Bioinformatics Center, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Furong Laboratory, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China; Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China; Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
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12
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Liu S, Zhou C, Liu AD, Zhuang G, Feng X, Zhang J, Zhong XM, Ji JX, Zhang SB, Liu HQ, Wang SX, Fan HR, Wang SF, Gao LT, Shi WX, Chen XY, Liu WD. An E-band multi-channel Doppler backscattering system on EAST. Rev Sci Instrum 2023; 94:123507. [PMID: 38109469 DOI: 10.1063/5.0166949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 11/28/2023] [Indexed: 12/20/2023]
Abstract
An E-band (60-90 GHz) multi-channel Doppler backscattering (DBS) system with X-mode polarization has been installed on the Experimental Advanced Superconducting Tokamak (EAST), which can measure the turbulence at five different radial locations simultaneously. This system can launch 31 fixed microwave frequencies in the range of 60-90 GHz with a 1 GHz interval into the plasma, and five probing signals are selected by employing a reference signal and multiple filters. During experiments, the frequency of the reference signal is tunable in the E-band, and the selected probing signals can be changed as needed without any other adjustments, which can be performed in one shot or between shots. Furthermore, the incident angle can be adjusted from -10° to 20°, and the wavenumber range is 4-25 cm-1 with a wavenumber resolution of Δk/k ≤ 0.35. Ray tracing simulations are employed to calculate the scattering locations and the perpendicular wavenumber. In this article, the hardware design, ray tracing, and initial results obtained from the EAST plasma will be presented.
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Affiliation(s)
- S Liu
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C Zhou
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - A D Liu
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - G Zhuang
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - X Feng
- Shenzhen University, Shenzhen, Guangdong 518061, China
| | - J Zhang
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - X M Zhong
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - J X Ji
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - S B Zhang
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, Anhui 230021, China
| | - H Q Liu
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, Anhui 230021, China
| | - S X Wang
- Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, Anhui 230021, China
| | - H R Fan
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - S F Wang
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - L T Gao
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - W X Shi
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - X Y Chen
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - W D Liu
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, Anhui 230026, China
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13
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Agarwal V, Yue Y, Zhang X, Feng X, Tao Y, Wang J. Spatial and temporal distribution of endotoxins, antibiotic resistance genes and mobile genetic elements in the air of a dairy farm in Germany. Environ Pollut 2023; 336:122404. [PMID: 37625772 DOI: 10.1016/j.envpol.2023.122404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023]
Abstract
Antimicrobial resistance (AMR) is a serious issue that is continuously growing and spreading, leading to a dwindling number of effective treatments for infections that were easily treatable with antibiotics in the past. Animal farms are a major hotspot for AMR, where antimicrobials are often overused, misused, and abused, in addition to overcrowding of animals. In this study, we investigated the risk of AMR transmission from a farm to nearby residential areas by examining the overall occurrence of endotoxins, antibiotic resistance genes (ARGs), and mobile genetic elements (MGEs) in the air of a cattle farm. We assessed various factors, including the season and year, day and nighttime, and different locations within the farm building and its vicinity. The most abundant ARGs detected were tetW, aadA1, and sul2, genes that encode for resistances towards antibiotics commonly used in veterinary medicine. While there was a clear concentration gradient for endotoxin from the middle of the farm building to the outside areas, the abundance of ARGs and MGEs was relatively uniform among all locations within the farm and its vicinity. This suggests that endotoxins preferentially accumulated in the coarse particle fraction, which deposited quickly, as opposed to the ARGs and MGEs, which might concentrate in the fine particle fraction and remain longer in the aerosol phase. The occurrence of the same genes found in the air samples and in the manure indicated that ARGs and MGEs in the air mostly originated from the cows, continuously being released from the manure to the air. Although our atmospheric dispersion model indicated a relatively low risk for nearby residential areas, farm workers might be at greater risk of getting infected with resistant bacteria and experiencing overall respiratory tract issues due to continuous exposure to elevated concentrations of endotoxins, ARGs and MGEs in the air of the farm.
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Affiliation(s)
- V Agarwal
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - Y Yue
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - X Zhang
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - X Feng
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - Y Tao
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland
| | - J Wang
- Institute of Environmental Engineering, ETH Zurich, Switzerland; Laboratory for Advanced Analytical Technologies, Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, 8600, Switzerland.
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14
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Wang Z, Luo M, Liang Q, Zhao K, Hu Y, Wang W, Feng X, Hu B, Teng J, You T, Li R, Bao Z, Pan W, Yang T, Zhang C, Li T, Dong X, Yi X, Liu B, Zhao L, Li M, Chen K, Song W, Yang J, Li MJ. Landscape of enhancer disruption and functional screen in melanoma cells. Genome Biol 2023; 24:248. [PMID: 37904237 PMCID: PMC10614365 DOI: 10.1186/s13059-023-03087-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 10/12/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND The high mutation rate throughout the entire melanoma genome presents a major challenge in stratifying true driver events from the background mutations. Numerous recurrent non-coding alterations, such as those in enhancers, can shape tumor evolution, thereby emphasizing the importance in systematically deciphering enhancer disruptions in melanoma. RESULTS Here, we leveraged 297 melanoma whole-genome sequencing samples to prioritize highly recurrent regions. By performing a genome-scale CRISPR interference (CRISPRi) screen on highly recurrent region-associated enhancers in melanoma cells, we identified 66 significant hits which could have tumor-suppressive roles. These functional enhancers show unique mutational patterns independent of classical significantly mutated genes in melanoma. Target gene analysis for the essential enhancers reveal many known and hidden mechanisms underlying melanoma growth. Utilizing extensive functional validation experiments, we demonstrate that a super enhancer element could modulate melanoma cell proliferation by targeting MEF2A, and another distal enhancer is able to sustain PTEN tumor-suppressive potential via long-range interactions. CONCLUSIONS Our study establishes a catalogue of crucial enhancers and their target genes in melanoma growth and progression, and illuminates the identification of novel mechanisms of dysregulation for melanoma driver genes and new therapeutic targeting strategies.
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Affiliation(s)
- Zhao Wang
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
| | - Menghan Luo
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Qian Liang
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
- Scientific Research Center, Wenzhou Medical University, Wenzhou, China
| | - Ke Zhao
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yuelin Hu
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Wei Wang
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xiangling Feng
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Bolang Hu
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Jianjin Teng
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Tianyi You
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Ran Li
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Zhengkai Bao
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Wenhao Pan
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China
| | - Tielong Yang
- Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Chao Zhang
- Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Ting Li
- Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xiaobao Dong
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xianfu Yi
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Ben Liu
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Li Zhao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Miaoxin Li
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Weihong Song
- Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Institute of Aging, Key Laboratory of Alzheimer's Disease of Zhejiang Province, The Second Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.
| | - Jilong Yang
- Department of Bone and Soft Tissue Tumor, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
| | - Mulin Jun Li
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
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Korshunov A, Hu H, Subires D, Jiang Y, Călugăru D, Feng X, Rajapitamahuni A, Yi C, Roychowdhury S, Vergniory MG, Strempfer J, Shekhar C, Vescovo E, Chernyshov D, Said AH, Bosak A, Felser C, Bernevig BA, Blanco-Canosa S. Softening of a flat phonon mode in the kagome ScV 6Sn 6. Nat Commun 2023; 14:6646. [PMID: 37863907 PMCID: PMC10589229 DOI: 10.1038/s41467-023-42186-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/29/2023] [Indexed: 10/22/2023] Open
Abstract
Geometrically frustrated kagome lattices are raising as novel platforms to engineer correlated topological electron flat bands that are prominent to electronic instabilities. Here, we demonstrate a phonon softening at the kz = π plane in ScV6Sn6. The low energy longitudinal phonon collapses at ~98 K and q = [Formula: see text] due to the electron-phonon interaction, without the emergence of long-range charge order which sets in at a different propagation vector qCDW = [Formula: see text]. Theoretical calculations corroborate the experimental finding to indicate that the leading instability is located at [Formula: see text] of a rather flat mode. We relate the phonon renormalization to the orbital-resolved susceptibility of the trigonal Sn atoms and explain the approximately flat phonon dispersion. Our data report the first example of the collapse of a kagome bosonic mode and promote the 166 compounds of kagomes as primary candidates to explore correlated flat phonon-topological flat electron physics.
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Affiliation(s)
- A Korshunov
- European Synchrotron Radiation Facility (ESRF), BP 220, F-38043, Grenoble, France
| | - H Hu
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
| | - D Subires
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
| | - Y Jiang
- Beijing National Laboratory for Condensed Matter Physics, and Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - D Călugăru
- Department of Physics, Princeton University, Princeton, NJ, 08544, USA
| | - X Feng
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - A Rajapitamahuni
- National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - C Yi
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - S Roychowdhury
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - M G Vergniory
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - J Strempfer
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, 60439, USA
| | - C Shekhar
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - E Vescovo
- National Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, 11973, USA
| | - D Chernyshov
- Swiss-Norwegian BeamLines at European Synchrotron Radiation Facility, Grenoble, France
| | - A H Said
- Advanced Photon Source, Argonne National Laboratory, Lemont, IL, 60439, USA
| | - A Bosak
- European Synchrotron Radiation Facility (ESRF), BP 220, F-38043, Grenoble, France
| | - C Felser
- Max Planck Institute for Chemical Physics of Solids, 01187, Dresden, Germany
| | - B Andrei Bernevig
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain.
- Department of Physics, Princeton University, Princeton, NJ, 08544, USA.
- IKERBASQUE, Basque Foundation for Science, 48013, Bilbao, Spain.
| | - S Blanco-Canosa
- Donostia International Physics Center (DIPC), Paseo Manuel de Lardizábal, 20018, San Sebastián, Spain.
- IKERBASQUE, Basque Foundation for Science, 48013, Bilbao, Spain.
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16
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Wang W, Zhou R, Chen C, Feng X, Zhang W, Li HJ, Jin RH. [Development of auxiliary early predicting model for human brucellosis using machine learning algorithm]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1601-1607. [PMID: 37859377 DOI: 10.3760/cma.j.cn112150-20221013-00991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Using machine learning algorithms to construct an early prediction model of brucellosis to improve the diagnosis efficiency of Brucellosis. This study was a case-control study. 2 381 brucellosis patients from Beijing Ditan Hospital affiliated to Capital Medical University were retrospectively collected as case group, and healthy people from Beijing Chaoyang Hospital affiliated to Capital Medical University were collected as control group from May 9, 2011 to November 29, 2021. The relevant clinical information and full blood count results of 13 257 data were collected and five algorithms of machine learning were used to construct an early predication model of brucellosis by using machine learning: random forest, Naive Bayes, decision tree, logistic regression and support vector machine;14 074 data (2 143 cases incase group and 11 931 cases in control group) were used to establish the early predication model of brucellosis, and 1 564 (238 cases in case group and 1 326 cases in control group) data were used to test the predication efficiency of the brucellosis model. The results showed that the support vector machine algorithm has the best predication performance by comparing the five machine learning models. The area under receiver curve (AUC) of receiver operating characteristic (ROC) was 0.991, and the accuracy, precision, specificity and Recall were 95.6%, 95.5%, 95.4% and 95.9%, respectively. Based on the SHAP plot, platelet distribution width (PDW) and basophil relative value (BASO%) results were low, and men with high coefficient of variation (R-CV), erythrocyte hemoglobin concentration (MCHC), and platelet volume (MPV) were predicted to be at high risk of brucellosis. Platelet distribution width (PDW) contributed the most to the prediction model, followed by red blood cell distribution width coefficient of variation (R-CV). In conclusion, the establishment of a high-precision early predication method of brucellosis based on machine learning may be of great significance for the early detection and treatment of brucellosis patients.
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Affiliation(s)
- W Wang
- Department of Blood Transfusion, Beijing Ditan Hospital, Capital Medical University,Beijing 100015,China
| | - R Zhou
- Department of Clinical Laboratory, Beijing Chaoyang Hospital Affiliated to Capital Medical University, Beijing 100012, China
| | - C Chen
- Beijing Jinfeng Yitong Technology Co., Ltd, Beijing 100020, China
| | - X Feng
- Inner Mongolia Zhihui Big data Institute, Hohhot 010020, China
| | - W Zhang
- Infection Center,Beijing Ditan Hospital, Capital Medical University,Beijing 100015,China
| | - H J Li
- Department of Blood Transfusion, Beijing Ditan Hospital, Capital Medical University,Beijing 100015,China
| | - R H Jin
- Beijing Ditan Hospital, Capital Medical University,Beijing 100015,China
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17
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Feng X, Tang B, Wang P, Kang S, Liao X, Yao X, Wang X, Orlandini LC. Effectiveness of Bladder Filling Control during Online MR-Guided Adaptive Radiotherapy for Rectum Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e725-e726. [PMID: 37786113 DOI: 10.1016/j.ijrobp.2023.06.2238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) MR-guided adaptive radiotherapy (MRgART) treatment sessions at MR-Linac are time-consuming and changes in bladder filling during the session can impact the treatment dosimetry. In this work, we present the procedure implemented in the clinical workflow to stabilize bladder filling during the MR based adaptive radiotherapy sessions and evaluate its effectiveness and the resulting dosimetric impact on the adaptive plan. MATERIALS/METHODS Twenty-five rectum cancer patients treated at 1.5T MR-Linac with a short course radiotherapy (25 Gy in 5 fractions of 5 Gy each) were included in this retrospective study. Patients were treated with the adapt-to-shape workflow consisting of a plan adaptation based on the MRI acquired in each session and optimized on the corresponding MR-based synthetic CT. Considering the significant interval time between the acquisition of the first daily MRI used for plan adaptation, and the beam delivery, a bladder catheter was used to stabilize the bladder filling; the procedure consists of emptying the bladder and refilling it with a well-known amount of physiological solution before each MRI acquisition. Two MRIs were acquired at each session: the first was used for plan adaptation and the second was acquired while approving the adapted plan, to be rigidly registered with the first to ensure the appropriateness of the isodoses on the ongoing delivery treatment. A total of 125 sessions and 250 MRI images and bladder contours were analyzed; for each fraction, the time interval between the first and second MRI and the corresponding bladder volumes were recorded; the consistency of bladder volumes and shapes along each online session was assessed with the dice similarity index (DSC) and Hausdorff distance (HD); the impact on plan dosimetry was evaluated by comparing target and bladder DVH cut off points of the plan on the two different MRI datasets. RESULTS The time interval between the first and second MRI, averaged over the 125 sessions is 39.0 min, range (18.6-75.8) min. The changes in bladder volumes, DSC index, HD, and the differences between the bladder and target DVH cut-off points are shown in the table below. The DSC and HD are comparable to inter-observer variability in manual contour segmentation, with an average DSC of 0.91 and average HD of 2.13 mm; the average differences in bladder and target dosimetry remain under 0.63% and 0.10%, respectively. CONCLUSION The use of a procedure in the clinical workflow of MRgART to stabilize the bladder filling throughout the online session may be helpful to guarantee the accuracy of the ongoing delivered treatment.
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Affiliation(s)
- X Feng
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - B Tang
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - P Wang
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - S Kang
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - X Liao
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - X Yao
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - X Wang
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - L C Orlandini
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
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18
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Yang Y, Wen C, Zheng S, Song F, Liu Y, Yao X, Tang Y, Feng X, Chen J, Yang F. Lactobacillus fermentum Alleviates the Colorectal Inflammation Induced by Low-Dose Sub-Chronic Microcystin-LR Exposure. Toxins (Basel) 2023; 15:579. [PMID: 37756005 PMCID: PMC10536654 DOI: 10.3390/toxins15090579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 08/30/2023] [Accepted: 09/13/2023] [Indexed: 09/28/2023] Open
Abstract
Microcystin-LR (MC-LR) contamination is a worldwide environmental problem that poses a grave threat to the water ecosystem and public health. Exposure to MC-LR has been associated with the development of intestinal injury, but there are no effective treatments for MC-LR-induced intestinal disease. Probiotics are "live microorganisms that are beneficial to the health of the host when administered in sufficient quantities". It has been demonstrated that probiotics can prevent or treat a variety of human diseases; however, their ability to mitigate MC-LR-induced intestinal harm has not yet been investigated. The objective of this study was to determine whether probiotics can mitigate MC-LR-induced intestinal toxicity and its underlying mechanisms. We first evaluated the pathological changes in colorectal tissues using an animal model with sub-chronic exposure to low-dose MC-LR, HE staining to assess colorectal histopathologic changes, qPCR to detect the expression levels of inflammatory factors in colorectal tissues, and WB to detect the alterations on CSF1R signaling pathway proteins in colorectal tissues. Microbial sequencing analysis and screening of fecal microorganisms differential to MC-LR treatment in mice. To investigate the role of microorganisms in MC-LR-induced colorectal injury, an in vitro model of MC-LR co-treatment with microorganisms was developed. Our findings demonstrated that MC-LR treatment induced an inflammatory response in mouse colorectal tissues, promoted the expression of inflammatory factors, activated the CSF1R signaling pathway, and significantly decreased the abundance of Lactobacillus. In a model of co-treatment with MC-LR and Lactobacillus fermentum (L. fermentum), it was discovered that L. fermentum substantially reduced the incidence of the colorectal inflammatory response induced by MC-LR and inhibited the protein expression of the CSF1R signaling pathway. This is the first study to suggest that L. fermentum inhibits the CSF1R signaling pathway to reduce the incidence of MC-LR-induced colorectal inflammation. This research may provide an excellent experimental foundation for the development of strategies for the prevention and treatment of intestinal diseases in MC-LR.
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Affiliation(s)
- Yue Yang
- The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, Department of Epidemiology and Health Statistics, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China; (Y.Y.); (F.S.); (Y.L.); (X.Y.); (Y.T.)
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410017, China; (X.F.); (J.C.)
| | - Cong Wen
- Changsha Yuhua District Center for Disease Control and Prevention, Changsha 410014, China;
| | - Shuilin Zheng
- Changsha Center for Disease Control and Prevention, Changsha 410004, China;
| | - Fengmei Song
- The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, Department of Epidemiology and Health Statistics, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China; (Y.Y.); (F.S.); (Y.L.); (X.Y.); (Y.T.)
| | - Ying Liu
- The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, Department of Epidemiology and Health Statistics, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China; (Y.Y.); (F.S.); (Y.L.); (X.Y.); (Y.T.)
| | - Xueqiong Yao
- The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, Department of Epidemiology and Health Statistics, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China; (Y.Y.); (F.S.); (Y.L.); (X.Y.); (Y.T.)
| | - Yan Tang
- The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, Department of Epidemiology and Health Statistics, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China; (Y.Y.); (F.S.); (Y.L.); (X.Y.); (Y.T.)
| | - Xiangling Feng
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410017, China; (X.F.); (J.C.)
| | - Jihua Chen
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410017, China; (X.F.); (J.C.)
| | - Fei Yang
- The Key Laboratory of Typical Environmental Pollution and Health Hazards of Hunan Province, Department of Epidemiology and Health Statistics, School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China; (Y.Y.); (F.S.); (Y.L.); (X.Y.); (Y.T.)
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410017, China; (X.F.); (J.C.)
- Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang 421001, China
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19
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Liu J, Huang W, Ren C, Wen Q, Liu W, Yang X, Wang L, Zhu B, Zeng L, Feng X, Zhang C, Chen H, Jia W, Zhang L, Xia X, Chen Y. Author Correction: Flotillin-2 promotes metastasis of nasopharyngeal carcinoma by activating NF-κB and PI3K/Akt3 signaling pathways. Sci Rep 2023; 13:12456. [PMID: 37528219 PMCID: PMC10393977 DOI: 10.1038/s41598-023-39544-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2023] Open
Affiliation(s)
- Jie Liu
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Wei Huang
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Caiping Ren
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China.
| | - Qiuyuan Wen
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Weidong Liu
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Xuyu Yang
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Lei Wang
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Bin Zhu
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Liang Zeng
- Department of Pathology, Hunan Cancer Hospital, Changsha, Hunan, People's Republic of China
| | - Xiangling Feng
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Chang Zhang
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Huan Chen
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Wei Jia
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Lihua Zhang
- Cancer Research Institute, Collaborative Innovation Center for Cancer Medicine, Key Laboratory for Carcinogenesis of Chinese Ministry of Health, School of Basic Medical Science, Central South University, Xiangya Road 110, Changsha, 410078, Hunan, People's Republic of China
| | - Xiaomeng Xia
- Department of Gynaecology and Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China
| | - Yuxiang Chen
- Hepatobiliary and Enteric Surgery Research Center, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
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20
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Shi R, DU W, He Y, Hu J, Yu H, Zhou W, Guo J, Feng X. High expression of VARS promotes the growth of multiple myeloma cells by causing imbalance in valine metabolism. Zhong Nan Da Xue Xue Bao Yi Xue Ban 2023; 48:795-808. [PMID: 37587064 PMCID: PMC10930441 DOI: 10.11817/j.issn.1672-7347.2023.220602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Indexed: 08/18/2023]
Abstract
OBJECTIVES Multiple myeloma (MM) is a plasma cell malignancy occurring in middle and old age. MM is still an incurable disease due to its frequent recurrence and drug resistance. However, its pathogenesis is still unclear. Abnormal amino acid metabolism is one of the important characteristics of MM, and the important metabolic pathway of amino acids participates in protein synthesis as basic raw materials. Aminoacyl transfer ribonucleic acid synthetase (ARS) gene is a key regulatory gene in protein synthesis. This study aims to explore the molecular mechanism for ARS, a key factor of amino acid metabolism, in regulating amino acid metabolism in MM and affecting MM growth. METHODS The corresponding gene number was combined with the gene expression profile GSE5900 dataset and GSE2658 dataset in Gene Expression Omnibus (GEO) database to standardize the gene expression data of ARS. GSEA_4.2.0 software was used to analyze the difference of gene enrichment between healthy donors (HD) and MM patients in GEO database. GraphPad Prism 7 was used to draw heat maps and perform data analysis. Kaplan-Meier and Cox regression model were used to analyze the expression of ARS gene and the prognosis of MM patients, respectively. Bone marrow samples from 7 newly diagnosed MM patients were collected, CD138+ and CD138- cells were obtained by using CD138 antibody magnetic beads, and the expression of ARS in MM clinical samples was analyzed by real-time RT-PCR. Human B lymphocyte GM12878 cells and human MM cell lines ARP1, NCI-H929, OCI-MY5, U266, RPMI 8266, OPM-2, JJN-3, KMS11, MM1.s cells were selected as the study objects. The expression of ARS in MM cell lines was analyzed by real-time RT-PCR and Western blotting. Short hairpin RNA (shRNA) lentiviruses were used to construct gene knock-out plasmids (VARS-sh group). No-load plasmids (scramble group) and gene knock-out plasmids (VARS-sh group) were transfected into HEK 293T cells with for virus packaging, respectively. Stable expression cell lines were established by infecting ARP1 and OCI-MY5 cells, and the effects of knockout valyl-tRNA synthetase (VARS) gene on proliferation and apoptosis of MM cells were detected by cell counting and flow cytometry, respectively. GEO data were divided into a high expression group and a low expression group according to the expression of VARS. Bioinformatics analysis was performed to explore the downstream pathways affected by VARS. Gas chromatography time-of-flight mass spectrometry (GC-TOF/MS) and high performance liquid chromatography (HPLC) were used to detect the valine content in CD138+ cells and ARP1, OCI-MY5 cells and supernatant of knockdown VARS gene in bone marrow samples from patients, respectively. RESULTS Gene enrichment analysis showed that tRNA processing related genes were significantly enriched in MM compared with HD (P<0.0001). Further screening of tRNA processing-pathway related subsets revealed that cytoplasmic aminoacyl tRNA synthetase family genes were significantly enriched in MM (P<0.0001). The results of gene expression heat map showed that the ARS family genes except alanyl-tRNA synthetase (AARS), arginyl-tRNA synthetase (RARS), seryl-tRNA synthetase (SARS) in GEO data were highly expressed in MM (all P<0.01). With the development of monoclonal gammopathy of undetermined significance (MGUS) to MM, the gene expression level was increased gradually. Kaplan-Meier univariate analysis of survival results showed that there were significant differences in the prognosis of MM patients in methionyl-tRNA synthetase (MARS), asparaginyl-tRNA synthetase (NARS) and VARS between the high expression group and the low expression group (all P<0.05). Cox regression model multivariate analysis showed that the high expression of VARS was associated with abnormal overall survival time of MM (HR=1.83, 95% CI 1.10 to 3.06, P=0.021). The high expression of NARS (HR=0.90, 95% CI 0.34 to 2.38) and MARS (HR=1.59, 95% CI 0.73 to 3.50) had no effect on the overall survival time of MM patients (both P>0.05). Real-time RT-PCR and Western blotting showed that VARS, MARS and NARS were highly expressed in CD138+ MM cells and MM cell lines of clinical patients (all P<0.05). Cell counting and flow cytometry results showed that the proliferation of MM cells by knockout VARS was significantly inhibited (P<0.01), the proportion of apoptosis was significantly increased (P<0.05). Bioinformatics analysis showed that in addition to several pathways including the cell cycle regulated by VARS, the valine, leucine and isoleucine catabolic pathways were upregulated. Non-targeted metabolomics data showed reduced valine content in CD138+ tumor cells in MM patients compared to HD (P<0.05). HPLC results showed that compared with the scramble group, the intracellular and medium supernatant content of ARP1 cells and the medium supernatant of OCI-MY5 in the VARS-shRNA group was increased (all P<0.05). CONCLUSIONS MM patients with abnormal high expression of VARS have a poor prognosis. VARS promotes the malignant growth of MM cells by affecting the regulation of valine metabolism.
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Affiliation(s)
- Rui Shi
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006.
| | - Wanqing DU
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006
| | - Yanjuan He
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008
| | - Jian Hu
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008
| | - Han Yu
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006
| | - Wen Zhou
- Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha 410078, China
| | - Jiaojiao Guo
- Department of Hematology, Xiangya Hospital, Central South University, Changsha 410008.
| | - Xiangling Feng
- Department of Health Inspection and Quarantine, Xiangya School of Public Health, Central South University, Changsha 410006.
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21
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Wu P, Gong F, Feng X, Xia Y, Xia L, Kai T, Ding P. Multimetallic nanoparticles decorated metal-organic framework for boosting peroxidase-like catalytic activity and its application in point-of-care testing. J Nanobiotechnology 2023; 21:185. [PMID: 37296435 DOI: 10.1186/s12951-023-01946-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 06/01/2023] [Indexed: 06/12/2023] Open
Abstract
Metal-organic frameworks (MOFs) are a sort of promising peroxidase-like nanozyme but face the challenge that the inorganic nodes in most of the MOF structures are generally blocked by the organic linkers. Further enhancement or activation of their peroxidase-like activity plays an important role in developing MOF-based nanozymes. Herein, a multimetallic nanoparticle (NP) decorated-MOF, Cu/Au/Pt NP decorated-Cu-TCPP(Fe) nanozyme (CuAuPt/Cu-TCPP(Fe)) was synthesized in situ and served as a peroxidase-like nanozyme. The peroxidase-like activity of this stable CuAuPt/Cu-TCPP(Fe) nanozyme was enhanced due to the decreased potential barriers for *OH generation in the catalytic process. Owing to the remarkable peroxidase-like activity, a CuAuPt/Cu-TCPP(Fe)-based colorimetric assay was established for the sensitive determination of H2O2 and glucose with the limit of detection (LOD) of 9.3 µM and 4.0 µM, respectively. In addition, a visual point-of-care testing (POCT) device was developed by integrating the CuAuPt/Cu-TCPP(Fe)-based test strips with a smartphone and was employed for a portable test of 20 clinical serum glucose samples. The results determined by this method agree well with the values deduced by clinical automatic biochemical analysis. This work not only represents an inspiration for the usage of MNP/MOF composite as a novel nanozyme for POCT diagnosis, but also provides a deeper insight and understanding into the enhanced enzyme-mimic effect of MNP-hybrid MOF composites, which in turn will guide the engineering of MOF-based functional nanomaterials. Graphical Abstract.
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Affiliation(s)
- Pian Wu
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, 410078, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, 410078, China
| | - Fangjie Gong
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, 410078, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, 410078, China
| | - Xiangling Feng
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, 410078, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, 410078, China
| | - Yong Xia
- Affiliated Hospital of Xiangnan University, Chenzhou, Hunan, 423000, China
| | - Lehuan Xia
- Chenzhou Third People's Hospital, Chenzhou, Hunan, 423000, China
| | - Tianhan Kai
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, 410078, China.
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, 410078, China.
| | - Ping Ding
- Xiang Ya School of Public Health, Central South University, Changsha, Hunan, 410078, China.
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, 410078, China.
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22
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Yang Y, Wang H, Wang X, Chen L, Liu W, Cai D, Deng S, Chu H, Liu Y, Feng X, Chen J, Chen M, Wang C, Liu R, Pu Y, Ding Z, Cao D, Long D, Cao Y, Yang F. Corrigendum to "Long-term environmental levels of microcystin-LR exposure induces colorectal chronic inflammation, fibrosis and barrier disruption via CSF1R/Rap1b signaling pathway" [J Hazard Mater 440 (2022) 129793]. J Hazard Mater 2023; 451:131110. [PMID: 36889072 DOI: 10.1016/j.jhazmat.2023.131110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Affiliation(s)
- Yue Yang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Hui Wang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Xiaoyan Wang
- Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Ling Chen
- First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Wenya Liu
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Danping Cai
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Shuxiang Deng
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Hanyu Chu
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Ying Liu
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Xiangling Feng
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Jihua Chen
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Mengshi Chen
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Chengkun Wang
- Department of Medical Pathology, School of Basic Medical, Hengyang Medical School, University of South China, Hengyang, China
| | - Ran Liu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Yuepu Pu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Zhen Ding
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Deliang Cao
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Dingxin Long
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Yi Cao
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Fei Yang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
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23
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Yao ZZ, Yu AZ, Feng X. [Meta-analysis of the correlation between prenatal steroid exposure and hypoglycemia in late preterm neonates]. Zhonghua Er Ke Za Zhi 2023; 61:520-526. [PMID: 37312463 DOI: 10.3760/cma.j.cn112140-20230209-00090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To systematically evaluate the correlation between prenatal steroid exposure and hypoglycemia in late preterm neonates. Methods: Eight databases in either Chinese or English, including PubMed, the Cochrane Library, Embase, Medline, Scopus, CNKI, Wanfang and VIP, were searched to extract the studies on the correlation between prenatal steroid exposure and hypoglycemia in late preterm neonates published from the establishment of each database to December 2022. The Meta-analysis was performed using Stata 14.0 statistical software. Results: A total of 9 studies were included in this Meta-analysis, including 6 retrospective cohort studies, 2 prospective cohort studies and 1 randomized controlled trial (RCT) study, involving 9 143 premature infants. The Meta-analysis showed that prenatal steroid exposure increased the risk of late preterm neonatal hypoglycemia (RR=1.55, 95%CI 1.25-1.91, P<0.001). The similar correlation between prenatal steroid exposure and hypoglycemia in late preterm neonates was all found in the following subgroups: North America (RR=1.57, 95%CI 1.37-1.80, P<0.001), enrolling pregnant women with gestational diabetes (RR=1.62, 95%CI 1.26-2.08, P<0.001), A-grade literature quality (RR=1.43, 95%CI 1.14-1.79, P=0.002), criteria for hypoglycemia ≤40 mg/dl (1 mg/dl=0.056 mmol/L, RR=1.49, 95%CI 1.28-1.73, P<0.001), sample size of 501-1 500 (RR=1.69, 95%CI 1.19-2.40, P=0.003) and >1 500 (RR=1.65, 95%CI 1.48-1.83, P<0.001), steroid injection dosage and frequency of 12 mg 2 times (RR=1.66, 95%CI 1.50-1.84, P<0.001), the time interval from antenatal corticosteroid administration to delivery of 24-47 h (RR=1.98, 95%CI 1.26-3.10, P=0.003), unadjusted gestational age (RR=1.78, 95%CI 1.02-3.10,P=0.043) and unadjusted birth weight (RR=1.80, 95%CI 1.22-2.66, P=0.003). Meta-regression results showed that steroid injection frequency and dose were the main sources of high heterogeneity among studies (P=0.030). Conclusion: Prenatal steroid exposure may be a risk factor for hypoglycemia in late preterm neonates.
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Affiliation(s)
- Z Z Yao
- Department of Neonatology, Shenzhen Children's Hospital, Shenzhen 518034, China
| | - A Z Yu
- Department of Neonatology, Shenzhen Children's Hospital, Shenzhen 518034, China
| | - X Feng
- Department of Neonatology, Shenzhen Children's Hospital, Shenzhen 518034, China
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24
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Li G, Kang Y, Feng X, Wang G, Yuan Y, Li Z, Du L, Xu B. Dynamic changes of enhancer and super enhancer landscape in degenerated nucleus pulposus cells. Life Sci Alliance 2023; 6:e202201854. [PMID: 37012048 PMCID: PMC10070812 DOI: 10.26508/lsa.202201854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 03/23/2023] [Accepted: 03/24/2023] [Indexed: 04/05/2023] Open
Abstract
Inflammatory cascade and extracellular matrix remodeling have been identified as pivotal pathological factors in the progression of intervertebral disc degeneration (IDD), but the mechanisms underlying the aberrant activation of transcription during nucleus pulposus (NP) cell degeneration remain elusive. Super-enhancers (SEs) are large clusters of adjacent lone enhancers, which control expression modes of cellular fate and pathogenic genes. Here, we showed that SEs underwent tremendous remodeling during NP cell degeneration and that SE-related transcripts were most abundant in inflammatory cascade and extracellular matrix remodeling processes. Inhibition of cyclin-dependent kinase 7, a transcriptional kinase-mediated transcriptional initiation in trans-acting SE complex, constricted the transcription of inflammatory cascades, and extracellular matrix remodeling-related genes such as IL1β and MMP3 in NP cells, meanwhile, also restrained the transcription of Mmp16, Tnfrsf21, and Il11ra1 to retard IDD in rats. In summary, our findings clarify SEs control the transcription of genes associated with inflammatory cascade and extracellular matrix remodeling during NP cell degeneration and identify inhibition of the cyclin-dependent kinase 7, required for SE-mediated transcriptional activation, as a therapeutic option for IDD.
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Affiliation(s)
- Guowang Li
- Department of Minimally Invasive Spine Surgery, Tianjin Hospital, Tianjin, China
- Graduate School of Tianjin Medical University, Tianjin, China
| | - Yuxiang Kang
- Graduate School of Tianjin Medical University, Tianjin, China
| | - Xiangling Feng
- Graduate School of Tianjin Medical University, Tianjin, China
| | - Guohua Wang
- Graduate School of Tianjin Medical University, Tianjin, China
| | - Yue Yuan
- Graduate School of Tianjin Medical University, Tianjin, China
| | - Zhenhua Li
- Department of Minimally Invasive Spine Surgery, Tianjin Hospital, Tianjin, China
| | - Lilong Du
- Department of Minimally Invasive Spine Surgery, Tianjin Hospital, Tianjin, China
| | - Baoshan Xu
- Department of Minimally Invasive Spine Surgery, Tianjin Hospital, Tianjin, China
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25
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Zhou HY, Zhao H, Tang MM, Peng H, Feng X, Ge J, Liu HL. Systematic evaluation of the safety and therapeutic effects of para-aortic lymphadenectomy for advanced gastric cancer: a systematic review and meta-analysis. Eur Rev Med Pharmacol Sci 2023; 27:5211-5222. [PMID: 37318495 DOI: 10.26355/eurrev_202306_32639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
OBJECTIVE At present, there is still no definite conclusion on whether advanced gastric cancer (GC) requires additional para-aortic nodes dissection (PAND). The purpose of this study is to summarize current evidence on the potential benefits of the extended systemic lymphadenectomy (D2+) compared to D2 lymphadenectomy in the treatment of gastric cancer. MATERIALS AND METHODS Systematic literature search was performed across PubMed, Embase, Cochrane library, Web of Science, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, VIP Database for Chinese Technical Periodicals, and China Biology Medicine disc using the following terms: gastric cancer, para-aortic lymphadenectomy, D2+ lymphadenectomy and D3 lymphadenectomy. RevMan 5.3 software was used for the meta-analysis. RESULTS A total of 20 studies involving 5,643 patients were included, consisting of 6 randomized controlled trials (RCT) and 14 non-randomized controlled trials (nRCT). Compared with the D2 group, the operating time in the D2+ group was longer [mean difference (MD)=99.45 min, 95% confidence interval (CI) (48.93, 149.97), p<0.001], with more intra-operative blood loss [MD=262.14 mL, 95% CI (165.21, 359.07), p<0.001]. There were no significant differences in five-year overall survival (OS) [HR=1.09, 95% CI (0.95, 1.25), p=0.22] and post-operative mortality [RR=0.96, 95% CI (0.59, 1.57), p=0.88] between the two groups. The rate of post-operative complications in group D2+ was higher than that in group D2 [RR=1.42, 95% CI (1.11, 1.81), p<0.001]. CONCLUSIONS Prophylactic D2+ surgery is not recommended, since D2+ surgery is associated with an increased rate of post-operative complications and does not improve the long-term survival rate of patients with advanced gastric cancer. However, D2+ surgery (especially D2+PAND) has certain survival advantages for specific patients, and D2+PAND surgery combined with chemotherapy may potentially improve long-term survival rate.
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Affiliation(s)
- H-Y Zhou
- Department of Gastrointestinal Surgery, Central South University, Xiangya Hospital, Changsha, Hunan, P.R. China.
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26
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Wang Z, Zhou F, Feng X, Li H, Duan C, Wu Y, Xiong Y. FoxO1/NLRP3 Inflammasome Promotes Age-Related Alveolar Bone Resorption. J Dent Res 2023:220345231164104. [PMID: 37203197 DOI: 10.1177/00220345231164104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023] Open
Abstract
Periodontitis is the utmost common chronic oral disease that exhibits intense susceptibility to aging. Aging is characterized by persistent sterile low-grade inflammation, leading to age-related periodontal complications represented by alveolar bone loss. Currently, forkhead transcription factor O1 (FoxO1) is generally believed to have a significant role in body development, senescence, cell viability, and oxidative stress in numerous organs and cells. However, the role of this transcription factor in mediating age-related alveolar bone resorption has not been examined. In this study, FoxO1 deficiency was discovered to have a beneficial correlation with halting the progression of alveolar bone resorption in aged mice. To further investigate the function of FoxO1 in age-related alveolar bone resorption, osteoblastic-specific FoxO1 knockout mice were generated, leading to an amelioration in alveolar bone loss compared to aged-matched wild-type mice, manifested as enhanced osteogenic potential. Mechanistically, we identified enhancement of the NLRP3 inflammasome signaling in FoxO1-deficient osteoblasts in the high dose of reactive oxygen species. Concordant with our study, MCC950, a specific inhibitor of NLRP3 inflammasome, greatly rescued osteoblast differentiation under oxidative stress. Our data shed light on the manifestations of FoxO1 depletion in osteoblasts and propose a possible mechanism for the therapy of age-related alveolar bone loss.
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Affiliation(s)
- Z Wang
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - F Zhou
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - X Feng
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - H Li
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - C Duan
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y Wu
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y Xiong
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
- Department of Oral Implantology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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27
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Mao C, Ji D, Ding Y, Zhang Y, Song W, Liu L, Wu Y, Song L, Feng X, Zhang J, Cao J, Xu N. Suvemcitug as second-line treatment of advanced or metastatic solid tumors and with FOLFIRI for pretreated metastatic colorectal cancer: phase Ia/Ib open label, dose-escalation trials. ESMO Open 2023; 8:101540. [PMID: 37178668 DOI: 10.1016/j.esmoop.2023.101540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/20/2023] [Accepted: 03/29/2023] [Indexed: 05/15/2023] Open
Abstract
BACKGROUND Suvemcitug (BD0801), a novel humanized rabbit monoclonal antibody against vascular endothelial growth factor, has demonstrated promising antitumor activities in preclinical studies. PATIENTS AND METHODS The phase Ia/b trials investigated the safety and tolerability and antitumor activities of suvemcitug for pretreated advanced solid tumors and in combination with FOLFIRI (leucovorin and fluorouracil plus irinotecan) in second-line treatment of metastatic colorectal cancer using a 3 + 3 dose-escalation design. Patients received escalating doses of suvemcitug (phase Ia: 2, 4, 5, 6, and 7.5 mg/kg; phase Ib: 1, 2, 3, 4, and 5 mg/kg plus FOLFIRI). The primary endpoint was safety and tolerability in both trials. RESULTS All patients in the phase Ia trial had at least one adverse event (AE). Dose-limiting toxicities included grade 3 hyperbilirubinemia (one patient), hypertension and proteinuria (one patient), and proteinuria (one patient). The maximum tolerated dose was 5 mg/kg. The most common grade 3 and above AEs were proteinuria (9/25, 36%) and hypertension (8/25, 32%). Forty-eight patients (85.7%) in phase Ib had grade 3 and above AEs, including neutropenia (25/56, 44.6%), reduced leucocyte count (12/56, 21.4%), proteinuria (10/56, 17.9%), and elevated blood pressure (9/56, 16.1%). Only 1 patient in the phase Ia trial showed partial response, [objective response rate 4.0%, 95% confidence interval (CI) 0.1% to 20.4%] whereas 18/53 patients in the phase Ib trial exhibited partial response (objective response rate 34.0%, 95% CI 21.5% to 48.3%). The median progression-free survival was 7.2 months (95% CI 5.1-8.7 months). CONCLUSIONS Suvemcitug has an acceptable toxicity profile and exhibits antitumor activities in pretreated patients with advanced solid tumors or metastatic colorectal cancer.
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Affiliation(s)
- C Mao
- Department of Medical Oncology, The First Affiliated Hospital of Medical College of Zhejiang University, Shangcheng District, Hangzhou, Zhejiang Province
| | - D Ji
- Department of Head & Neck Tumors and Neuroendocrine Tumors, Fudan University Shanghai Cancer Hospital, Xuhui District, Shanghai; Department of Oncology, Shanghai Medical College, Fudan University, Xuhui District, Shanghai, China
| | - Y Ding
- Phase I Clinical Trials Unit, The First Hospital of Jilin University, Chaoyang District, Changchun, Jilin Province, China
| | - Y Zhang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Nangang District, Harbin, China
| | - W Song
- Clinical Science, Shandong Simcere Bio-Pharmaceutical Co., Ltd., Yantai, Shandong Province, China
| | - L Liu
- Clinical Statistics, Shandong Simcere Bio-Pharmaceutical Co., Ltd., Yantai, Shandong Province, China
| | - Y Wu
- Clinical Science, Shandong Simcere Bio-Pharmaceutical Co., Ltd., Yantai, Shandong Province, China
| | - L Song
- Clinical Pharmacology, Shandong Simcere Bio-Pharmaceutical Co., Ltd., Yantai, Shandong Province, China
| | - X Feng
- Clinical Science, Shandong Simcere Bio-Pharmaceutical Co., Ltd., Yantai, Shandong Province, China
| | - J Zhang
- Clinical Science, Shandong Simcere Bio-Pharmaceutical Co., Ltd., Yantai, Shandong Province, China
| | - J Cao
- Department of Lymphoma, Fudan University Shanghai Cancer Hospital, Xuhui District, Shanghai, China.
| | - N Xu
- Department of Medical Oncology, The First Affiliated Hospital of Medical College of Zhejiang University, Shangcheng District, Hangzhou, Zhejiang Province.
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Casas-Orozco D, Laky D, Wang V, Abdi M, Feng X, Wood E, Reklaitis GV, Nagy ZK. Techno-economic analysis of dynamic, end-to-end optimal pharmaceutical campaign manufacturing using PharmaPy. AIChE J 2023; 69:e18142. [PMID: 38179085 PMCID: PMC10765457 DOI: 10.1002/aic.18142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 04/16/2023] [Indexed: 01/06/2024]
Abstract
Increased interest in the pharmaceutical industry to transition from batch to continuouos manufacturing motivates the use of digital frameworks that allow systematic comparison of candidate process configurations. This paper evaluates the technical and economic feasibility of different end-to-end optimal process configurations, viz. batch, hybrid and continuous, for small-scale manufacturing of an active pharmaceutical ingredient. Production campaigns were analyzed for those configurations containing continuous equipment, where significant start-up effects are expected given the relatively short campaign times considered. Hybrid operating mode was found to be the most attractive process configuration at intermediate and large annual production targets, which stems from combining continuous reactors and semi-batch vaporization equipment. Continuous operation was found to be more costly, due to long stabilization times of continuous crystallization, and thermodynamic limitations of flash vaporization. Our work reveals the benefits of systematic digital evaluation of process configurations that operate under feasible conditions and compliant product quality attributes.
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Affiliation(s)
- Daniel Casas-Orozco
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47906, USA
| | - Daniel Laky
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47906, USA
| | - Vivian Wang
- Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food & Drug Administration, Silver Spring, MD, USA
| | - Mesfin Abdi
- Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food & Drug Administration, Silver Spring, MD, USA
| | - X Feng
- Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food & Drug Administration, Silver Spring, MD, USA
| | - E Wood
- Office of Pharmaceutical Quality, Center for Drug Evaluation and Research, Food & Drug Administration, Silver Spring, MD, USA
| | - Gintaras V Reklaitis
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47906, USA
| | - Zoltan K Nagy
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47906, USA
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29
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Kuang C, Xia M, An G, Liu C, Hu C, Zhang J, Liu Z, Meng B, Su P, Xia J, Guo J, Zhu Y, Liu X, Wu X, Shen Y, Feng X, He Y, Li J, Qiu L, Zhou J, Zhou W. Excessive serine from the bone marrow microenvironment impairs megakaryopoiesis and thrombopoiesis in Multiple Myeloma. Nat Commun 2023; 14:2093. [PMID: 37055385 PMCID: PMC10102122 DOI: 10.1038/s41467-023-37699-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 03/27/2023] [Indexed: 04/15/2023] Open
Abstract
Thrombocytopenia is a major complication in a subset of patients with multiple myeloma (MM). However, little is known about its development and significance during MM. Here, we show thrombocytopenia is linked to poor prognosis in MM. In addition, we identify serine, which is released from MM cells into the bone marrow microenvironment, as a key metabolic factor that suppresses megakaryopoiesis and thrombopoiesis. The impact of excessive serine on thrombocytopenia is mainly mediated through the suppression of megakaryocyte (MK) differentiation. Extrinsic serine is transported into MKs through SLC38A1 and downregulates SVIL via SAM-mediated tri-methylation of H3K9, ultimately leading to the impairment of megakaryopoiesis. Inhibition of serine utilization or treatment with TPO enhances megakaryopoiesis and thrombopoiesis and suppresses MM progression. Together, we identify serine as a key metabolic regulator of thrombocytopenia, unveil molecular mechanisms governing MM progression, and provide potential therapeutic strategies for treating MM patients by targeting thrombocytopenia.
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Affiliation(s)
- Chunmei Kuang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Meijuan Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - CuiCui Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Cong Hu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Jingyu Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Zhenhao Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Bin Meng
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Pei Su
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jiliang Xia
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Jiaojiao Guo
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Yinghong Zhu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xing Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xuan Wu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Yi Shen
- Department of Orthopaedic Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiangling Feng
- Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yanjuan He
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jian Li
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Jiaxi Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
| | - Wen Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Department of Hematology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
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Feng X, Fu Q, Gu SS, Ye P, Wang J, Duan C, Cai XL, Zhang LQ, Ni SL, Li XZ. [Endoscopic resection of type D trigeminal schwannoma through nasal sinus approach]. Zhonghua Wai Ke Za Zhi 2023; 61:232-238. [PMID: 36650970 DOI: 10.3760/cma.j.cn112139-20220725-00323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Objective: To examine the feasibility and surgical approach of removing type D trigeminal schwannoma through nasal cavity and nasal sinus under endoscope. Methods: Eleven patients with trigeminal schwannoma who were treated in the Department of Otorhinolaryngology, Qilu Hospital of Shandong University from December 2014 to August 2021 were analyzed retrospectively in this study. There were 7 males and 4 females, aged (47.5±13.5) years (range: 12 to 64 years). The neoplasm involved the pterygopalatine fossa, infratemporal fossa, ethmoidal sinus, sphenoid sinus, cavernous sinus, and middle cranial fossa. The size of tumors were between 1.6 cm×2.0 cm×2.0 cm and 5.7 cm×6.0 cm×6.0 cm. Under general anesthesia, the tumors were resected through the transpterygoid approach in 4 cases, through the prelacrimal recess approach in 4 cases, through the extended prelacrimal recess approach in 2 cases, and through the endoscopic medial maxillectomy approach in 1 case. The nasal endoscopy and imaging examination were conducted to detect whether neoplasm recurred or not, and the main clinical symptoms during follow-up. Results: All the surgical procedures were performed under endonasal endoscope, including Gross total resection in 10 patients. The tumor of a 12-year-old patient was not resected completely due to huge tumor size and limited operation space. One patient was accompanied by two other schwannomas located in the occipital region and the ipsilateral parotid gland region originating from the zygomatic branch of the facial nerve, both of which were removed concurrently. After tumor resection, the dura mater of middle cranial fossa was directly exposed in the nasal sinus in 2 cases, including 1 case accompanied by cerebrospinal fluid leakage which was reconstructed by a free mucosal flap obtained from the middle turbinate, the other case was packed by the autologous fat to protect the dura mater. The operation time was (M(IQR)) 180 (160) minutes (range: 120 to 485 minutes). No complications and deaths were observed. No recurrence was observed in the 10 patients with total tumor resection during a 58 (68) months' (range: 10 to 90 months) follow-up. No obvious change was observed in the facial appearance of all patients during the follow-up. Conclusion: Type D trigeminal schwannoma involving pterygopalatine fossa and infratemporal fossa can be removed safely through purely endoscopic endonasal approach by selecting the appropriate approach according to the size and involvement of the tumor.
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Affiliation(s)
- X Feng
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - Q Fu
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - S S Gu
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - P Ye
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - J Wang
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - C Duan
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - X L Cai
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - L Q Zhang
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
| | - S L Ni
- Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan 250012, China
| | - X Z Li
- Department of Otorhinolaryngology, Qilu Hospital of Shandong University, National Health Commission Key Laboratory of Otorhinolaryngology (Shandong University), Jinan 250012, China
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Zhang J, Shi F, Liu X, Wu X, Hu C, Guo J, Yang Q, Xia J, He Y, An G, Qiu L, Feng X, Zhou W. Proline promotes proliferation and drug resistance of multiple myeloma by downregulation of proline dehydrogenase. Br J Haematol 2023; 201:704-717. [PMID: 36755409 DOI: 10.1111/bjh.18684] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 12/28/2022] [Accepted: 01/25/2023] [Indexed: 02/10/2023]
Abstract
Amino acids in the bone marrow microenvironment (BMME) are a critical factor for multiple myeloma (MM) progression. Here, we have determined that proline is elevated in BMME of MM patients and links to poor prognosis in MM. Moreover, exogenous proline regulates MM cell proliferation and drug resistance. Elevated proline in BMME is due to bone collagen degradation and abnormal expression of the key enzyme of proline catabolism, proline dehydrogenase (PRODH). PRODH is downregulated in MM patients, mainly as a result of promoter hypermethylation with high expression of DNMT3b. Thus, overexpression of PRODH suppresses cell proliferation and drug resistance of MM and exhibits therapeutic potential for treatment of MM. Altogether, we identify proline as a key metabolic regulator of MM, unveil PRODH governing MM progression and provide a promising therapeutic strategy for MM treatment.
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Affiliation(s)
- Jingyu Zhang
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Fangming Shi
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Xing Liu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Xuan Wu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China
| | - Cong Hu
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Jiaojiao Guo
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
| | - Qin Yang
- Department of Hematology, Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jiliang Xia
- Hunan Province Key Laboratory of Tumor Cellular & Molecular Pathology, Cancer Research Institute, Hengyang Medical College, University of South China, Hengyang, Hunan, China
| | - Yanjuan He
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China
| | - Gang An
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Xiangling Feng
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Wen Zhou
- Haihe Laboratory of Cell Ecosystem, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Geriatric Disorders, Department of Hematology, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory for Carcinogenesis and Invasion, Chinese Ministry of Education, Key Laboratory of Carcinogenesis, Chinese Ministry of Health, Cancer Research Institute, School of Basic Medical Sciences, Central South University, Changsha, Hunan, China
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32
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Feng X, Deng Z, Chen J, Ding Y, Zheng H. A validated UHPLC-MS/MS assay for rapid and sensitive determination of crisaborale in human plasma and its clinico-pharmacokinetic application. J Pharm Biomed Anal 2023; 223:115129. [DOI: 10.1016/j.jpba.2022.115129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/23/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
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Feng X, Dogg Sigurdardottir F, Øverby C, Thorshov T, Dammen T, Hrubos-Strøm H. Validation of insomnia questionnaire and estimation of COMISA in a large, population based cohort. Sleep Med 2022. [DOI: 10.1016/j.sleep.2022.05.777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Chu H, Du C, Yang Y, Feng X, Zhu L, Chen J, Yang F. MC-LR Aggravates Liver Lipid Metabolism Disorders in Obese Mice Fed a High-Fat Diet via PI3K/AKT/mTOR/SREBP1 Signaling Pathway. Toxins (Basel) 2022; 14:toxins14120833. [PMID: 36548730 PMCID: PMC9784346 DOI: 10.3390/toxins14120833] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/10/2022] [Accepted: 11/18/2022] [Indexed: 12/05/2022] Open
Abstract
Obesity, a metabolic disease caused by excessive fat accumulation in the body, has attracted worldwide attention. Microcystin-LR (MC-LR) is a hepatotoxic cyanotoxin which has been reportedly to cause lipid metabolism disorder. In this study, C57BL/6J mice were fed a high-fat diet (HFD) for eight weeks to build obese an animal model, and subsequently, the obese mice were fed MC-LR for another eight weeks, and we aimed to determine how MC-LR exposure affects the liver lipid metabolism in high-fat-diet-induced obese mice. The results show that MC-LR increased the obese mice serum aspartate aminotransferase (AST) and alanine aminotransferase (ALT), indicating damaged liver function. The lipid parameters include serum triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), and liver TG, which were all increased, whilst the high-density lipoprotein cholesterol (HDL-c) was decreased. Furthermore, after MC-LR treatment, histopathological observation revealed that the number of red lipid droplets increased, and that steatosis was more severe in the obese mice. In addition, the lipid synthesis-related genes were increased and the fatty acid β-oxidation-related genes were decreased in the obese mice after MC-LR exposure. Meanwhile, the protein expression levels of phosphorylation phosphatidylinositol 3-kinase (p-PI3K), phosphorylation protein kinase B (p-AKT), phosphorylation mammalian target of rapamycin (p-mTOR), and sterol regulatory element binding protein 1c (SREBP1-c) were increased; similarly, the p-PI3K/PI3K, p-AKT/AKT, p-mTOR/mTOR, and SREBP1/β-actin were significantly up-regulated in obese mice after being exposed to MC-LR, and the activated PI3K/AKT/mTOR/SREBP1 signaling pathway. In addition, MC-LR exposure reduced the activity of superoxide dismutase (SOD) and increased the level of malondialdehyde (MDA) in the obese mice's serum. In summary, the MC-LR could aggravate the HFD-induced obese mice liver lipid metabolism disorder by activating the PI3K/AKT/mTOR/SREBP1 signaling pathway to hepatocytes, increasing the SREBP1-c-regulated key enzymes for lipid synthesis, and blocking fatty acid β-oxidation.
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Affiliation(s)
- Hanyu Chu
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China
| | - Can Du
- Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Yue Yang
- Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Xiangling Feng
- Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Lemei Zhu
- School of Public Health, Changsha Medical University, Changsha 410219, China
| | - Jihua Chen
- Xiangya School of Public Health, Central South University, Changsha 410078, China
- Correspondence: (J.C.); (F.Y.)
| | - Fei Yang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China
- Xiangya School of Public Health, Central South University, Changsha 410078, China
- The Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, Department of Education, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang 421001, China
- Correspondence: (J.C.); (F.Y.)
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Huang D, Feng X, Yang H, Wang J, Zhang W, Fan X, Dong X, Chen K, Yu Y, Ma X, Yi X, Li M. QTLbase2: an enhanced catalog of human quantitative trait loci on extensive molecular phenotypes. Nucleic Acids Res 2022; 51:D1122-D1128. [PMID: 36330927 PMCID: PMC9825467 DOI: 10.1093/nar/gkac1020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/17/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022] Open
Abstract
Deciphering the fine-scale molecular mechanisms that shape the genetic effects at disease-associated loci from genome-wide association studies (GWAS) remains challenging. The key avenue is to identify the essential molecular phenotypes that mediate the causal variant and disease under particular biological conditions. Therefore, integrating GWAS signals with context-specific quantitative trait loci (QTLs) (such as different tissue/cell types, disease states, and perturbations) from extensive molecular phenotypes would present important strategies for full understanding of disease genetics. Via persistent curation and systematic data processing of large-scale human molecular trait QTLs (xQTLs), we updated our previous QTLbase database (now QTLbase2, http://mulinlab.org/qtlbase) to comprehensively analyze and visualize context-specific QTLs across 22 molecular phenotypes and over 95 tissue/cell types. Overall, the resource features the following major updates and novel functions: (i) 960 more genome-wide QTL summary statistics from 146 independent studies; (ii) new data for 10 previously uncompiled QTL types; (iii) variant query scope expanded to fit 195 QTL datasets based on whole-genome sequencing; (iv) supports filtering and comparison of QTLs for different biological conditions, such as stimulation types and disease states; (v) a new linkage disequilibrium viewer to facilitate variant prioritization across tissue/cell types and QTL types.
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Affiliation(s)
| | | | - Hongxi Yang
- Department of Pharmacology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Jianhua Wang
- Department of Pharmacology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Wenwen Zhang
- Department of Pharmacology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xutong Fan
- Department of Pharmacology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xiaobao Dong
- Department of Bioinformatics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Kexin Chen
- Department of Bioinformatics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Ying Yu
- Department of Pharmacology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xin Ma
- Correspondence may also be addressed to Xin Ma.
| | - Xianfu Yi
- Correspondence may also be addressed to Xianfu Yi.
| | - Mulin Jun Li
- To whom correspondence should be addressed. Tel: +86 22 83336668; Fax: +86 22 83336668;
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Peng D, Liu M, Tang B, Feng X, Liu Y, Li J, Wu F, Orlandini L. MR-Guided Boost Irradiation for Patients with Pelvic Recurrence of Gynecological Cancer. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.1260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Wu L, Liu W, Huang Y, Zhu C, Ma Q, Wu Q, Tian L, Feng X, Liu M, Wang N, Xu X, Liu X, Xu C, Qiu J, Xu Z, Liu W, Zhao Q. Development and structure-activity relationship of tacrine derivatives as highly potent CDK2/9 inhibitors for the treatment of cancer. Eur J Med Chem 2022; 242:114701. [DOI: 10.1016/j.ejmech.2022.114701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 08/15/2022] [Accepted: 08/17/2022] [Indexed: 11/27/2022]
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Yang Y, Wang H, Wang X, Chen L, Liu W, Cai D, Deng S, Chu H, Liu Y, Feng X, Chen J, Chen M, Wang C, Liu R, Pu Y, Ding Z, Cao D, Long D, Cao Y, Yang F. Long-term environmental levels of microcystin-LR exposure induces colorectal chronic inflammation, fibrosis and barrier disruption via CSF1R/Rap1b signaling pathway. J Hazard Mater 2022; 440:129793. [PMID: 36029734 DOI: 10.1016/j.jhazmat.2022.129793] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 07/20/2022] [Accepted: 08/15/2022] [Indexed: 02/05/2023]
Abstract
Microcystin-LR (MC-LR) is a very common toxic cyanotoxins threating ecosystems and the public health. This study aims to explore the long-term effects and potential toxicity mechanisms of MC-LR exposure at environmental levels on colorectal injury. We performed histopathological, biochemical indicator and multi-omics analyses in mice with low-dose MC-LR exposure for 12 months. Long-term environmental levels of MC-LR exposure caused epithelial barrier disruption, inflammatory cell infiltration and an increase of collagen fibers in mouse colorectum. Integrated proteotranscriptomics revealed differential expression of genes/proteins, including CSF1R, which were mainly involved in oxidative stress-induced premature senescence and inflammatory response. MC-LR induced chronic inflammation and fibrosis through oxidative stress and CSF1R/Rap1b signaling pathway were confirmed in cell models. We found for the first time that long-term environmental levels of MC-LR exposure caused colorectal chronic inflammation, fibrosis and barrier disruption via a novel CSF1R/Rap1b signaling pathway. Moreover, MC-LR changed the gut microbiota and microbial-related metabolites in a vicious cycle aggravating colorectal injury. These findings provide novel insights into the effects and toxic mechanisms of MC-LR and suggest strategies for the prevention and treatment of MC-caused intestinal diseases.
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Affiliation(s)
- Yue Yang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Hui Wang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Xiaoyan Wang
- Department of Gastroenterology, Third Xiangya Hospital, Central South University, Changsha, China
| | - Ling Chen
- First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Wenya Liu
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Danping Cai
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Shuxiang Deng
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Hanyu Chu
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Ying Liu
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Xiangling Feng
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Jihua Chen
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Mengshi Chen
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China
| | - Chengkun Wang
- Department of Medical Pathology, School of Basic Medical, Hengyang Medical School, University of South China, Hengyang, China
| | - Ran Liu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Yuepu Pu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Zhen Ding
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Deliang Cao
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Dingxin Long
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Yi Cao
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China
| | - Fei Yang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, China; Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.
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Caplette JN, Gfeller L, Lei D, Liao J, Xia J, Zhang H, Feng X, Mestrot A. Antimony release and volatilization from rice paddy soils: Field and microcosm study. Sci Total Environ 2022; 842:156631. [PMID: 35691353 DOI: 10.1016/j.scitotenv.2022.156631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
The fate of antimony (Sb) in submerged soils and the impact of common agricultural practices (e.g., manuring) on Sb release and volatilization is understudied. We investigated porewater Sb release and volatilization in the field and laboratory for three rice paddy soils. In the field study, the porewater Sb concentration (up to 107.1 μg L-1) was associated with iron (Fe) at two sites, and with pH, Fe, manganese (Mn), and sulfate (SO42-) at one site. The surface water Sb concentrations (up to 495.3 ± 113.7 μg L-1) were up to 99 times higher than the regulatory values indicating a potential risk to aquaculture and rice agriculture. For the first time, volatile Sb was detected in rice paddy fields using a validated quantitative method (18.1 ± 5.2 to 217.9 ± 160.7 mg ha-1 y-1). We also investigated the influence of two common rice agriculture practices (flooding and manuring) on Sb release and volatilization in a 56-day microcosm experiment using the same soils from the field campaign. Flooding induced an immediate, but temporary, Sb release into the porewater that declined with SO42-, indicating that SO42- reduction may reduce porewater Sb concentrations. A secondary Sb release, corresponding to Fe reduction in the porewater, was observed in some of the microcosms. Our results suggest flooding-induced Sb release into rice paddy porewaters is temporary but relevant. Manuring the soils did not impact the porewater Sb concentration but did enhance Sb volatilization. Volatile Sb (159.6 ± 108.4 to 2237.5 ± 679.7 ng kg-1 y-1) was detected in most of the treatments and was correlated with the surface water Sb concentration. Our study indicates that Sb volatilization could be occurring at the soil-water interface or directly in the surface water and highlights that future works should investigate this potentially relevant mechanism.
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Affiliation(s)
| | - L Gfeller
- Institute of Geography, University of Bern, Switzerland
| | - D Lei
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - J Liao
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - J Xia
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - H Zhang
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China
| | - X Feng
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, PR China.
| | - A Mestrot
- Institute of Geography, University of Bern, Switzerland.
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40
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Fu BS, Yi SH, Yi HM, Feng X, Zhang T, Yang Q, Zhang YC, Yao J, Tang H, Zeng KN, Li XB, Yang Z, Lyu L, Chen GH, Yang Y. [Clinical efficacy of split liver transplantation in the treatment of children with biliary atresia]. Zhonghua Wai Ke Za Zhi 2022; 60:900-905. [PMID: 36207978 DOI: 10.3760/cma.j.cn112139-20220712-00309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To compare the clinical efficacy of split liver transplantation (SLT) and living donor liver transplantation(LDLT) in the treatment of children with biliary atresia. Methods: The clinical data of 64 children with biliary atresia who underwent SLT and 44 children who underwent LDLT from June 2017 to May 2022 at Liver Surgery & Liver Transplantation Center,the Third Affiliated Hospital of Sun Yat-sen University were retrospectively analyzed. Among the children who received SLT, there were 40 males and 24 females. The median age at transplantation was 8 months (range:4 to 168 months). Among the patients who received LDLT, there were 24 males and 20 females. The age at transplantation ranged from 4 to 24 months,with a median age of 7 months. Sixty-four children with biliary atresia were divided into two groups according to the SLT operation time: 32 cases in the early SLT group(June 2017 to January 2019) and 32 cases in the technically mature SLT group (February 2019 to May 2022). Rank sum test or t test was used to compare the recovery of liver function between the LDLT group and the SLT group,and between the early SLT group and the technically mature SLT group. The incidence of postoperative complications was compared by χ2 test or Fisher exact probability method. Kaplan-Meier method and Log-rank test were used for survival analysis. Results: The cold ischemia time(M (IQR)) (218 (65) minutes), intraoperative blood loss(175 (100) ml) and graft-to-recipient body weight ratio (3.0±0.7) in the LDLT group were lower than those in the SLT group(500 (130) minutes, 200 (250) ml, 3.4±0.8) (Z=-8.064,Z=-2.969, t=-2.048, all P<0.05). The cold ischemia time(457(158)minutes) and total hospital stay ((37.4±22.4)days) in the technically mature SLT group were lower than those in the early SLT group(510(60)minutes, (53.0±39.0)days).The differences were statistically significant (Z=-2.132, t=1.934, both P<0.05).The liver function indexes of LDLT group and SLT group showed unimodal changes within 1 week after operation. The peak values of ALT, AST, prothrombin time, activeated partial thromboplasting time, international normalized ratio, fibrinogen and creatinine all appeared at 1 day after operation, and the peak value of prothrombin activity appeared at 3 days after operation. All indicators returned to normal at 7 days after operation. The 1-,2-,and 3-year overall survival rates were 95.5% in LDLT group and 93.5% in the technically mature SLT group, and the difference was not statistically significant. The 1-,2-,and 3-year overall survival rates were 90.2% in the early SLT group and 93.5% in the technically mature SLT group, and there was no significant difference between the two groups(P>0.05). The main complications of the early SLT group were surgery-related complications(28.1%,9/32), and the main complications of the technically mature SLT group were non-surgery-related complications(21.9%,7/32). There were 5 deaths in the SLT group,including 4 in the early SLT group and 1 in the technically mature SLT group. Conclusion: The survival rate of SLT in the treatment of biliary atresia is comparable to that of LDLT.
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Affiliation(s)
- B S Fu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - S H Yi
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - H M Yi
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - X Feng
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - T Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - Q Yang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - Y C Zhang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - J Yao
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - H Tang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - K N Zeng
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - X B Li
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - Z Yang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - L Lyu
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - G H Chen
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
| | - Y Yang
- Liver Surgery & Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University;Institute of Organ Transplantation,Sun Yat-sen University;Guangdong Organ Transplantation Research Center;Guangdong Transplantation Medical Engineering Laboratory;Guangdong Provincial Key Laboratory of Liver Diseases,Guangzhou 510630,China
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Feng X, Prates L, Yu P. PSI-18 Effect of Heat Processing Methods on Carbohydrate Subfractions and Degradation in Relation to Carbohydrate Molecular Spectral Profile of Barley Grain Using Advanced Molecular Spectroscopy in Ruminants. J Anim Sci 2022. [DOI: 10.1093/jas/skac247.657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
To our knowledge, there are few studies on the association between carbohydrate molecular structure spectral profiles of barley grain and ruminant-relevant nutritional characteristics. This study aimed to study associate processing-induced changes in carbohydrate molecular structure with changes in ruminant-relevant carbohydrate nutritional profiles. The heat processing methods included: dry roasting, autoclaving, and microwave irradiation. The ruminant-relevant carbohydrate nutritional profiles were determined which included carbohydrate chemical profiles, carbohydrate subfractions, ruminant-relevant carbohydrate digestion. The molecular structure spectral profiles were determined using vibrational molecular spectroscopy (ATR-FT/IR). The results showed that heat related processing significantly induced carbohydrate molecular spectral profiles. The heat related processing also significantly changed ruminant-relevant nutritional characteristics. There was an association between processing induced carbohydrate molecular structure changes and ruminant-relevant carbohydrate nutritional profiles. The advanced vibrational molecular spectroscopic technique (ATR-FTIR) shows the great potential as a fast analytical tool to predict ruminant-relevant carbohydrate nutritional characteristics.
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Affiliation(s)
- X Feng
- University of Saskatchewan
| | | | - P Yu
- University of Saskatchewan
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42
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Feng X, Wu WY, Onwuka J, Alcala K, Smith-Byrne K, Zahed H, Guida F, Yuan JM, Wang R, Milne R, Bassett J, Langhammer A, Hveem K, Stevens V, Wang Y, Brennan P, Melin B, Johansson M, Robbins H, Johansson M. P1.01-01 Comparison between Protein and Autoantibody Biomarkers for the Early Detection of Lung Cancer. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Liu W, Wu L, Liu W, Tian L, Chen H, Wu Z, Wang N, Liu X, Qiu J, Feng X, Xu Z, Jiang X, Zhao Q. Design, synthesis and biological evaluation of novel coumarin derivatives as multifunctional ligands for the treatment of Alzheimer's disease. Eur J Med Chem 2022; 242:114689. [PMID: 36007469 DOI: 10.1016/j.ejmech.2022.114689] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/12/2022] [Accepted: 08/12/2022] [Indexed: 12/12/2022]
Abstract
Multi-targeted directed ligands (MTDLs) are emerging as promising Alzheimer's disease (AD) therapeutic possibilities. Coumarin is a multifunctional backbone with extensive bioactivity that has been utilized to develop innovative anti-neurodegenerative properties and is a desirable starting point for the construction of MTDLs. Herein, we explored and synthesized a series of novel coumarin derivatives and assessed their inhibitory effects on cholinesterase (AChE, BuChE), GSK-3β, and BACE1. Among these compounds, compound 30 displayed the multifunctional profile of targeting the AChE (IC50 = 1.313 ± 0.099 μM) with a good selectivity over BuChE (SI = 24.623), GSK-3β (19.30% inhibition at 20 μM), BACE1 (IC50 = 1.227 ± 0.112 μM), along with moderate HepG2 cytotoxicity, SH-SY5Y cytotoxicity, low HL-7702 cytotoxicity, as well as good blood-brain barrier (BBB) permeability. Kinetic and docking studies indicated that compound 30 was a competitive AChE inhibitor. Furthermore, acute toxicity experiments revealed that it was non-toxic at a dosage of 1000 mg/kg. The ADME prediction results indicate that 30 has acceptable physicochemical properties. Collectively, these findings demonstrated that compound 30 would be a potential multifunctional candidate for AD therapy.
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Affiliation(s)
- Wenjie Liu
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Limeng Wu
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Wenwu Liu
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China; School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, People's Republic of China
| | - Liting Tian
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Huanhua Chen
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Zhongchan Wu
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Nan Wang
- Department of Pharmacy, General Hospital of Northern Theater Command, Shenyang, 110840, People's Republic of China
| | - Xin Liu
- School of Life Science and Biochemistry, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Jingsong Qiu
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Xiangling Feng
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China
| | - Zihua Xu
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China; Department of Pharmacy, General Hospital of Northern Theater Command, Shenyang, 110840, People's Republic of China
| | - Xiaowen Jiang
- School of Life Science and Biochemistry, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China; Department of Pharmacy, General Hospital of Northern Theater Command, Shenyang, 110840, People's Republic of China.
| | - Qingchun Zhao
- School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, Shenyang, 110016, People's Republic of China; Department of Pharmacy, General Hospital of Northern Theater Command, Shenyang, 110840, People's Republic of China.
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Feng X, Shi Y, Ding Y, Zheng H. Inhibitory effects of traditional Chinese medicine colquhounia root tablet on the pharmacokinetics of tacrolimus in rats. J Ethnopharmacol 2022; 294:115358. [PMID: 35551976 DOI: 10.1016/j.jep.2022.115358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 04/14/2022] [Accepted: 05/04/2022] [Indexed: 06/15/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Tacrolimus (TAC) was widely used in various renal diseases while high recurrence rate and high expense restricted its applications. Traditional herbal medicine has become increasingly popular as an adjuvant therapy to minimize the adverse effects of TAC. Colquhounia root tablet (CRT), a prescribed drug prepared from the water extract of the peeled root of Tripterygium hypoglaucum (H. Lév.) Hutch., showed excellent anti-inflammatory, analgesic and immunosuppressive pharmacological properties. TAC used in combination with CRT was substantially more efficacious and safer than the monotherapy for the treatment of nephrotic syndrome. However, studies on their herb-drug interaction were scanty. AIM OF THE STUDY The study was proposed to examine the effect of CRT on the pharmacokinetics of TAC in rats and identify the key natural constituents in CRT that affected the metabolism of TAC. MATERIALS AND METHODS TAC was orally and intravenously administered to rats alone or in combination with CRT and the pharmacokinetic parameters of TAC were compared. After pretreatment with CRT for 15 d, the expressions of the drug-metabolizing enzymes (DMEs), drug transporters (DTs) and nuclear receptors (NRs) were determined by polymerase chain reaction and western blotting and compared with the control group. The hepatic microsomal incubation system was employed to confirm the inhibitory effects of CRT and its major components on rat cytochrome P450 (CYP) 3A2. The roles of the primary components in the regulation of human CYP3A4 and mouse P-gp activities were evaluated by using docking analysis. RESULTS The blood concentrations of TAC were significantly increased in a dose- and pretreatment time-dependent manner after combined administration of CRT. The maximal effect was found at 300 mg/kg (43.70 ± 8.77 ng/mL and 141.45 ± 21.58 h·ng/mL) in a single dose run and the pharmacokinetic parameters gradually returned to the normal levels at 24 h interval of long-term CRT pretreatment. In contrast, CRT had no effect on the pharmacokinetics of intravenous TAC. Further study indicated that the mRNA and protein expressions of DMEs and DTs, such as CYP3A1, CYP3A2, P-glycoprotein (P-gp) and multidrug resistance-associated protein 2 in rat intestine and liver were down-regulated, whereas the expressions of NRs like constitutive androstane receptor and pregnane X receptor were up-regulated after multiple oral doses of CRT. Molecular docking showed the binding potency of five CRT major constituents with both human CYP3A4 and mouse P-gp. Celastrol, wilforgine and wilforine were the strongest inhibitors towards midazolam metabolism in rat liver microsomes, with the 50% inhibition concentrations being at 8.33 μM, 22.18 μM and 22.22 μM, respectively. CONCLUSIONS Our results revealed that co-dosing of CRT could lead to a significant increase in blood concentration of TAC and this effect could be ascribed to the resultant co-regulation of DMEs, DTs and NRs. Our study provided an experimental basis for the combination use of CRT and TAC in clinical practice.
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Affiliation(s)
- Xiangling Feng
- Department of Pharmacy, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Youquan Shi
- Department of Pharmacy, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Yufeng Ding
- Department of Pharmacy, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Heng Zheng
- Department of Pharmacy, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Zhang L, Feng X, Gu Y, Yang T, Li X, Yu H, You Z. SYNTHESES, CRYSTAL STRUCTURES, AND ANTIMICROBIAL ACTIVITIES OF ZINC COMPLEXES DERIVED FROM 2-AMINO-N′- (PYRIDIN-2-YLMETHYLENE)BENZOHYDRAZIDE. J STRUCT CHEM+ 2022. [DOI: 10.1134/s0022476622080170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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46
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Zhou Z, Feng X, Yang L, Fang XZ, Xu KN, Li WT, Yang YN, Shi YF. [The Helicobacter pylori infection rate detected in combination by immunohistochemical staining and 14C urea breath test in Xinjiang patient and analysis with its related factors]. Zhonghua Bing Li Xue Za Zhi 2022; 51:656-658. [PMID: 35785839 DOI: 10.3760/cma.j.cn112151-20211202-00877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Z Zhou
- Department of Pathology, the Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830002, China
| | - X Feng
- Department of Laboratory Medicine, the Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830002, China
| | - L Yang
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - X Z Fang
- Department of Pathology, the Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830002, China
| | - K N Xu
- Department of Pathology, the Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830002, China
| | - W T Li
- Department of Pathology, the Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830002, China
| | - Y N Yang
- Department of Pathology, the Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830002, China
| | - Y F Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing 100142, China
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Tao X, Du R, Guo S, Feng X, Yu T, OuYang Q, Chen Q, Fan X, Wang X, Guo C, Li X, Xue F, Chen S, Tong M, Lazarus M, Zuo S, Yu Y, Shen Y. PGE 2 -EP3 axis promotes brown adipose tissue formation through stabilization of WTAP RNA methyltransferase. EMBO J 2022; 41:e110439. [PMID: 35781818 DOI: 10.15252/embj.2021110439] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/12/2022] [Accepted: 05/17/2022] [Indexed: 11/09/2022] Open
Abstract
Brown adipose tissue (BAT) functions as a thermogenic organ and is negatively associated with cardiometabolic diseases. N6 -methyladenosine (m6 A) modulation regulates the fate of stem cells. Here, we show that the prostaglandin E2 (PGE2 )-E-prostanoid receptor 3 (EP3) axis was activated during mouse interscapular BAT development. Disruption of EP3 impaired the browning process during adipocyte differentiation from pre-adipocytes. Brown adipocyte-specific depletion of EP3 compromised interscapular BAT formation and aggravated high-fat diet-induced obesity and insulin resistance in vivo. Mechanistically, activation of EP3 stabilized the Zfp410 mRNA via WTAP-mediated m6 A modification, while knockdown of Zfp410 abolished the EP3-induced enhancement of brown adipogenesis. EP3 prevented ubiquitin-mediated degradation of WTAP by eliminating PKA-mediated ERK1/2 inhibition during brown adipocyte differentiation. Ablation of WTAP in brown adipocytes abrogated the protective effect of EP3 overexpression in high-fat diet-fed mice. Inhibition of EP3 also retarded human embryonic stem cell differentiation into mature brown adipocytes by reducing the WTAP levels. Thus, a conserved PGE2 -EP3 axis promotes BAT development by stabilizing WTAP/Zfp410 signaling in a PKA/ERK1/2-dependent manner.
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Affiliation(s)
- Xixi Tao
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Ronglu Du
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Shumin Guo
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xiangling Feng
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Tingting Yu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Qian OuYang
- State Key Laboratory of Pharmaceutical Biotechnology, MOE Key Laboratory of Model Animal for Disease Study, Model Animal Research Center, Nanjing Biomedical Research Institute, Nanjing University, Nanjing, China
| | - Qiaoli Chen
- State Key Laboratory of Pharmaceutical Biotechnology, MOE Key Laboratory of Model Animal for Disease Study, Model Animal Research Center, Nanjing Biomedical Research Institute, Nanjing University, Nanjing, China
| | - Xutong Fan
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Xueqi Wang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Chen Guo
- Department of Gynecology and Obstetrics, Tianjin Key Laboratory of Female Reproductive Health and Eugenics, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaozhou Li
- Department of Gynecology and Obstetrics, Tianjin Key Laboratory of Female Reproductive Health and Eugenics, Tianjin Medical University General Hospital, Tianjin, China
| | - Fengxia Xue
- Department of Gynecology and Obstetrics, Tianjin Key Laboratory of Female Reproductive Health and Eugenics, Tianjin Medical University General Hospital, Tianjin, China
| | - Shuai Chen
- State Key Laboratory of Pharmaceutical Biotechnology, MOE Key Laboratory of Model Animal for Disease Study, Model Animal Research Center, Nanjing Biomedical Research Institute, Nanjing University, Nanjing, China
| | - Minghan Tong
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Michael Lazarus
- International Institute for Integrative Sleep Medicine (WPI-IIIS), University of Tsukuba, Tsukuba City, Japan
| | - Shengkai Zuo
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Ying Yu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
| | - Yujun Shen
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China
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Du C, Zheng S, Yang Y, Feng X, Chen J, Tang Y, Wang H, Yang F. Chronic exposure to low concentration of MC-LR caused hepatic lipid metabolism disorder. Ecotoxicol Environ Saf 2022; 239:113649. [PMID: 35605325 DOI: 10.1016/j.ecoenv.2022.113649] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 05/01/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
Microcystin-LR (MC-LR), a potent hepatotoxin can cause liver damages. However, research on hepatic lipid metabolism caused by long-term exposure to environmental concentrations MC-LR is limited. In the current study, mice were exposed to various low concentrations of MC-LR (0, 1, 30, 60, 90, 120 μg/L in the drinking water) for 9 months. The general parameters, serum and liver lipids, liver tissue pathology, lipid metabolism-related genes and proteins of liver were investigated. The results show that chronic MC-LR exposure had increased the levels of triglyceride (TG) and total cholesterol (TC) in serum and liver. In addition, histological observation revealed that hepatic lobules were disordered with obvious inflammatory cell infiltration and lipid droplets. More importantly, the mRNA and proteins expression levels of lipid synthesis-related nuclear sterol regulatory element binding protein-1c (nSREBP-1c), SREBP-1c, cluster of differentiation 36 (CD36), acetyl-CoA-carboxylase1 (ACC1), stearoyl-CoA desaturase1 (SCD1) and fatty acid synthase (FASN) were increased in MC-LR treated groups, the expression levels of fatty acids β-oxidation related genes peroxisomal acyl-coenzyme A oxidase 1 (ACOX1) was decreased after exposure to 60-120 μg/L MC-LR. Furthermore, the inflammatory factors interleukin 6 (IL-6) and tumor necrosis factor-α (TNF-α) were higher than that in the control group. All the findings indicated that mice were exposed to chronic low concentrations MC-LR caused liver inflammation and hepatic lipid metabolism disorder .
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Affiliation(s)
- Can Du
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Shuilin Zheng
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Yue Yang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Xiangling Feng
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Jihua Chen
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Yan Tang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China
| | - Hui Wang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China
| | - Fei Yang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha 410078, China; Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China; The Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province Department of Education, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang 421001, China.
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49
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Pleasance E, Bohm A, Williamson LM, Nelson JMT, Shen Y, Bonakdar M, Titmuss E, Csizmok V, Wee K, Hosseinzadeh S, Grisdale CJ, Reisle C, Taylor GA, Lewis E, Jones MR, Bleile D, Sadeghi S, Zhang W, Davies A, Pellegrini B, Wong T, Bowlby R, Chan SK, Mungall KL, Chuah E, Mungall AJ, Moore RA, Zhao Y, Deol B, Fisic A, Fok A, Regier DA, Weymann D, Schaeffer DF, Young S, Yip S, Schrader K, Levasseur N, Taylor SK, Feng X, Tinker A, Savage KJ, Chia S, Gelmon K, Sun S, Lim H, Renouf DJ, Jones SJM, Marra MA, Laskin J. Whole genome and transcriptome analysis enhances precision cancer treatment options. Ann Oncol 2022; 33:939-949. [PMID: 35691590 DOI: 10.1016/j.annonc.2022.05.522] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 05/03/2022] [Accepted: 05/31/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Recent advances are enabling delivery of precision genomic medicine to cancer clinics. While the majority of approaches profile panels of selected genes or hotspot regions, comprehensive data provided by whole genome and transcriptome sequencing and analysis (WGTA) presents an opportunity to align a much larger proportion of patients to therapies. PATIENTS AND METHODS Samples from 570 patients with advanced or metastatic cancer of diverse types enrolled in the Personalized OncoGenomics (POG) program underwent WGTA. DNA-based data, including mutations, copy number, and mutation signatures, were combined with RNA-based data, including gene expression and fusions, to generate comprehensive WGTA profiles. A multidisciplinary molecular tumour board used WGTA profiles to identify and prioritize clinically actionable alterations and inform therapy. Patient responses to WGTA-informed therapies were collected. RESULTS Clinically actionable targets were identified for 83% of patients, 37% of whom received WGTA-informed treatments. RNA expression data were particularly informative, contributing to 67% of WGTA-informed treatments; 25% of treatments were informed by RNA expression alone. Of a total 248 WGTA-informed treatments, 46% resulted in clinical benefit. RNA expression data were comparable to DNA-based mutation and copy number data in aligning to clinically beneficial treatments. Genome signatures also guided therapeutics including platinum, PARP inhibitors, and immunotherapies. Patients accessed WGTA-informed treatments through clinical trials (19%), off-label use (35%), and as standard therapies (46%) including those which would not otherwise have been the next choice of therapy, demonstrating the utility of genomic information to direct use of chemotherapies as well as targeted therapies. CONCLUSIONS Integrating RNA expression and genome data illuminated treatment options that resulted in 46% of treated patients experiencing positive clinical benefit, supporting the use of comprehensive WGTA profiling in clinical cancer care. CLINICAL TRIAL NUMBER NCT02155621.
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Affiliation(s)
- E Pleasance
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A Bohm
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medicine, University of British Columbia, Vancouver
| | - L M Williamson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - J M T Nelson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - Y Shen
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - M Bonakdar
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Titmuss
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - V Csizmok
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - K Wee
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S Hosseinzadeh
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medicine, University of British Columbia, Vancouver
| | - C J Grisdale
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - C Reisle
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - G A Taylor
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Lewis
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - M R Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - D Bleile
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S Sadeghi
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - W Zhang
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A Davies
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - B Pellegrini
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - T Wong
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - R Bowlby
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - S K Chan
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - K L Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - E Chuah
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - A J Mungall
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - R A Moore
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - Y Zhao
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - B Deol
- Department of Medical Oncology, BC Cancer, Vancouver
| | - A Fisic
- Department of Medical Oncology, BC Cancer, Vancouver
| | - A Fok
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver
| | - D A Regier
- Canadian Centre for Applied Research in Cancer Control, Cancer Control Research, BC Cancer, Vancouver
| | - D Weymann
- Canadian Centre for Applied Research in Cancer Control, Cancer Control Research, BC Cancer, Vancouver
| | - D F Schaeffer
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver; Pancreas Centre BC, Vancouver
| | - S Young
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver
| | - S Yip
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver
| | - K Schrader
- Hereditary Cancer Program, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver
| | - N Levasseur
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S K Taylor
- Department of Medical Oncology, BC Cancer, Kelowna
| | - X Feng
- Department of Medical Oncology, BC Cancer, Victoria
| | - A Tinker
- Department of Medical Oncology, BC Cancer, Vancouver
| | - K J Savage
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S Chia
- Department of Medical Oncology, BC Cancer, Vancouver
| | - K Gelmon
- Department of Medical Oncology, BC Cancer, Vancouver
| | - S Sun
- Department of Medical Oncology, BC Cancer, Vancouver
| | - H Lim
- Department of Medical Oncology, BC Cancer, Vancouver
| | - D J Renouf
- Department of Medical Oncology, BC Cancer, Vancouver; Pancreas Centre BC, Vancouver
| | - S J M Jones
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver; Department of Molecular Biology and Biochemistry, Simon Fraser University, Vancouver, Canada
| | - M A Marra
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver; Department of Medical Genetics, University of British Columbia, Vancouver
| | - J Laskin
- Department of Medical Oncology, BC Cancer, Vancouver.
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50
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Yi X, Luo M, Feng X, Zhou Y, Wang J, Li MJ. 3DCoop: An approach for computational inference of cell-type-specific transcriptional regulators cooperation in 3D chromatin. STAR Protoc 2022; 3:101382. [PMID: 35600920 PMCID: PMC9114683 DOI: 10.1016/j.xpro.2022.101382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Precise identification of context-specific transcriptional regulators (TRs) cooperation facilitates the understanding of complex gene regulation. However, previous methods are highly reliant on the availability of ChIPped TRs. Here, we provide a protocol for running 3DCoop, a pipeline for computational inference of cell type-specific TR cooperation in 3D chromatin by integrating TR motifs, open chromatin profiles, gene expression, and chromatin loops. 3DCoop provides a feasible solution to study the potential interplay among TRs across multiple human or mouse tissue/cell types. For complete details on the use and execution of this protocol, please refer to Yi et al. (2021). Inference of transcriptional regulator (TR) cooperation in 3D chromatin Integration of TR motifs, open chromatin, gene expression, and chromatin loops Identification of context-specific TR cooperation not relying on ChIPped factors 3DCoop facilitates TR cooperation study across multiple human/mouse cell types
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Affiliation(s)
- Xianfu Yi
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, China
- Corresponding author
| | - Menghan Luo
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Xiangling Feng
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Yao Zhou
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Jianhua Wang
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Mulin Jun Li
- Department of Bioinformatics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
- Department of Epidemiology and Biostatistics, Tianjin Key Laboratory of Molecular Cancer Epidemiology, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300070, China
- Corresponding author
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