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Gao Y, Ye T, Wu LG, Xu Y, Wang X, Cheng XQ, Zhang YL, Wang YY, Fan XR, Zhao HT, Liu H, Chai XF, Zhang L, Wang MZ, Li NS, Lian XL. [The association between baseline TPOAb and/or TgAb positivity and thyroid immune-related adverse events in patients with malignancies following treatment with immune checkpoint inhibitors]. Zhonghua Yi Xue Za Zhi 2024; 104:963-969. [PMID: 38514346 DOI: 10.3760/cma.j.cn112137-20231011-00706] [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: 03/23/2024]
Abstract
Objective: To investigate the association between positive anti-thyroid peroxidase antibody (TPOAb) and/or anti-thyroglobulin antibody (TgAb) and the occurrence of thyroid immune-related adverse events (irAEs) in patients with malignant tumors who treated with immune checkpoint inhibitors (ICIs). Methods: A case-control study. A total of 116 patients with malignant tumor who received ICIs treatment and underwent thyroid function evaluation at Peking Union Medical College Hospital from January 2017 to April 2023 were enrolled retrospectively, including 77 males and 39 females, with a median age of (M(Q1, Q3)) 63.0 (55.0, 70.0) years. The patients were divided into the euthyroid group (n=58) and the thyroid irAEs group (n=58) according to whether thyroid irAEs occurred after ICIs treatment. The clinical characteristics and baseline anti-thyroid antibodies associated with the occurrence of thyroid irAEs after ICIs treatment in patients with malignant tumors were evaluated. Variables with statistical significance in univariate analysis were included in multivariate logistic regression model to analyze the risk factors for thyroid irAEs in patients with malignant tumors who received ICIs treatment. Results: In irAEs group, therewore 4 (3.4%) cases of clinical thyrotoxicosis, 23(19.8%) cases of subclinical thyrotoxicosis, 23 (19.8%) cases of clinical hypothyroidism, and 8(6.9%) cases of subclinical hypothyroidism. The positive rate of anti-thyroid antibodies at baseline in the thyrioid irAEs group was higher than that in the euthyroid group[16/58(27.6%)vs 3/58(5.2%),P=0.001]. After at least one course of ICIs treatment, the incidence of thyroid irAEs in patients with positive anti-thyroid antibodies at baseline was 84.2% (16/19), whereas it was 43.3% (42/97) in patients with negative anti-thyroid antibodies(P=0.001). Univariate logistic regression analysis showed that gender (OR=2.812, 95%CI:1.257-6.293), baseline thyroid autoantibodies were positive (OR=6.984, 95%CI: 1.909-25.547), baseline TgAb positivity (OR=8.909, 95%CI: 1.923-41.280), and baseline TPOAb positivity (OR=7.304, 95%CI: 1.555-34.308) were associated with thyroid irAEs (all P<0.05). Multivariate logistic regression analysis indicated that baseline TgAb positivity (OR=7.637, 95%CI: 1.617-36.072) was a risk factor for thyroid irAEs (P=0.01). Conclusions: The incidence of thyroid irAEs is higher in patients who are positive for baseline TPOAb and/or TgAb compared to those who are negative for TPOAb and TgAb. Patients with positive TgAb at baseline are at high risk of developing thyroid irAEs.
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Affiliation(s)
- Y Gao
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - T Ye
- Department of Endocrinology, the Forth Affiliated Hospital of Xinjiang Medical University, Urumqi 830061, China
| | - L G Wu
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y Xu
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - X Wang
- Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - X Q Cheng
- Department of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y L Zhang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Y Y Wang
- Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - X R Fan
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - H T Zhao
- Department of Liver Surgery, Peking Union Medical College, Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - H Liu
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - X F Chai
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - L Zhang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - M Z Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - N S Li
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - X L Lian
- Department of Endocrinology, Key Laboratory of Endocrinology of the National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Xu BD, Chen K, Liu YH, Su WT, Ye T, Wu GY, Zong GJ. [Correlation between serum growth differentiation factor 11 level and severity of coronary artery disease in patients with acute myocardial infarction]. Zhonghua Xin Xue Guan Bing Za Zhi 2024; 52:286-292. [PMID: 38514331 DOI: 10.3760/cma.j.cn112148-20230715-00005] [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: 03/23/2024]
Abstract
Objective: To investigate the correlation between serum growth differentiation factor 11 (GDF11) level and coronary artery lesions in patients with ST-segment elevation myocardial infarction (STEMI), and the predictive efficacy of nomogram risk prediction model based on GDF11 combined with traditional risk factors on the occurrence of STEMI. Methods: This study was a retrospective cross-sectional study. Patients hospitalized in the Department of Cardiology of the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China from 2016 to 2018 were selected and divided into control group and STEMI group. The demographic data, blood lipid level, laboratory indicators of blood and GDF11 level were collected. Logistic regression analysis screened out independent correlated factors for the occurrence of STEMI. Spearman correlation analysis clarified the correlation of each indicator with the SYNTAX or Gensini scores. A nomogram risk prediction model for the risk of STEMI occurrence and the receiver operating characteristic curve was used to compare the prediction efficiency of each model. Results: A total of 367 patients were enrolled, divided into control group (n=172) and STEMI group (n=195), age (66.5±11.8), male 222 (60.49%). The serum GDF11 level of STEMI group was significantly lower than that of the control group (36.20 (16.60, 70.75) μg/L vs. 85.00 (53.93, 117.10) μg/L, P<0.001). The results of multivariate logistic regression analysis showed serum GDF11(OR=0.98, 95%CI: 0.97-0.99) and traditional independent risk factors such as smoking, diabetes, C-reactive protein, homocysteine, lipoprotein (a) and apolipoprotein A1/B were independent correlate factors for the occurrence of STEMI (P<0.05). Spearman correlation analysis showed that serum GDF11 was negatively correlated with SYNTAX score and Gensini score (P<0.05). The nomogram model constructed by serum GDF11 combined with traditional independent risk factors (AUC=0.85, 95%CI: 0.81-0.89) had better predictive value for the occurrence of STEMI than the traditional nomogram model constructed by independent risk factors(AUC=0.80, 95%CI:0.75-0.84) or serum GDF11 (AUC=0.76, 95%CI: 0.72-0.81), all P<0.01. Conclusions: Serum GDF11 is an independent correlate factor in the occurrence of STEMI and is negatively correlated with the severity of coronary artery lesions in patients with STEMI. The nomogram model constructed based on GDF11 combined with traditional risk factors can be a good predictor for the occurrence of STEMI.
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Affiliation(s)
- B D Xu
- Department of Cardiologyg, the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China, Wuxi 214000, China
| | - K Chen
- Department of Cardiologyg, the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China, Wuxi 214000, China
| | - Y H Liu
- Department of Cardiologyg, the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China, Wuxi 214000, China
| | - W T Su
- Department of Cardiologyg, the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China, Wuxi 214000, China
| | - T Ye
- Department of Cardiologyg, the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China, Wuxi 214000, China
| | - G Y Wu
- Department of Cardiologyg, the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China, Wuxi 214000, China
| | - G J Zong
- Department of Cardiologyg, the 904th Hospital of Joint Logistic Support Force of People's Liberation Army of China, Wuxi 214000, China
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Aguirre CG, Woo JH, Romero-Sosa JL, Rivera ZM, Tejada AN, Munier JJ, Perez J, Goldfarb M, Das K, Gomez M, Ye T, Pannu J, Evans K, O'Neill PR, Spigelman I, Soltani A, Izquierdo A. Dissociable Contributions of Basolateral Amygdala and Ventrolateral Orbitofrontal Cortex to Flexible Learning Under Uncertainty. J Neurosci 2024; 44:e0622232023. [PMID: 37968116 PMCID: PMC10860573 DOI: 10.1523/jneurosci.0622-23.2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 04/02/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 11/17/2023] Open
Abstract
Reversal learning measures the ability to form flexible associations between choice outcomes with stimuli and actions that precede them. This type of learning is thought to rely on several cortical and subcortical areas, including the highly interconnected orbitofrontal cortex (OFC) and basolateral amygdala (BLA), and is often impaired in various neuropsychiatric and substance use disorders. However, the unique contributions of these regions to stimulus- and action-based reversal learning have not been systematically compared using a chemogenetic approach particularly before and after the first reversal that introduces new uncertainty. Here, we examined the roles of ventrolateral OFC (vlOFC) and BLA during reversal learning. Male and female rats were prepared with inhibitory designer receptors exclusively activated by designer drugs targeting projection neurons in these regions and tested on a series of deterministic and probabilistic reversals during which they learned about stimulus identity or side (left or right) associated with different reward probabilities. Using a counterbalanced within-subject design, we inhibited these regions prior to reversal sessions. We assessed initial and pre-/post-reversal changes in performance to measure learning and adjustments to reversals, respectively. We found that inhibition of the ventrolateral orbitofrontal cortex (vlOFC), but not BLA, eliminated adjustments to stimulus-based reversals. Inhibition of BLA, but not vlOFC, selectively impaired action-based probabilistic reversal learning, leaving deterministic reversal learning intact. vlOFC exhibited a sex-dependent role in early adjustment to action-based reversals, but not in overall learning. These results reveal dissociable roles for BLA and vlOFC in flexible learning and highlight a more crucial role for BLA in learning meaningful changes in the reward environment.
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Affiliation(s)
- C G Aguirre
- Department of Psychology, University of California, Los Angeles, California 90095
| | - J H Woo
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755
| | - J L Romero-Sosa
- Department of Psychology, University of California, Los Angeles, California 90095
| | - Z M Rivera
- Department of Psychology, University of California, Los Angeles, California 90095
| | - A N Tejada
- Department of Psychology, University of California, Los Angeles, California 90095
| | - J J Munier
- Section of Biosystems and Function, School of Dentistry, University of California, Los Angeles, California 90095
| | - J Perez
- Department of Psychology, University of California, Los Angeles, California 90095
| | - M Goldfarb
- Department of Psychology, University of California, Los Angeles, California 90095
| | - K Das
- Department of Psychology, University of California, Los Angeles, California 90095
| | - M Gomez
- Department of Psychology, University of California, Los Angeles, California 90095
| | - T Ye
- Department of Psychology, University of California, Los Angeles, California 90095
| | - J Pannu
- Section of Biosystems and Function, School of Dentistry, University of California, Los Angeles, California 90095
| | - K Evans
- Department of Psychology, University of California, Los Angeles, California 90095
| | - P R O'Neill
- Shirley and Stefan Hatos Center for Neuropharmacology, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California 90095
| | - I Spigelman
- Section of Biosystems and Function, School of Dentistry, University of California, Los Angeles, California 90095
| | - A Soltani
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755
| | - A Izquierdo
- Department of Psychology, University of California, Los Angeles, California 90095
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Brixi G, Ye T, Hong L, Wang T, Monticello C, Lopez-Barbosa N, Vincoff S, Yudistyra V, Zhao L, Haarer E, Chen T, Pertsemlidis S, Palepu K, Bhat S, Christopher J, Li X, Liu T, Zhang S, Petersen L, DeLisa MP, Chatterjee P. SaLT&PepPr is an interface-predicting language model for designing peptide-guided protein degraders. Commun Biol 2023; 6:1081. [PMID: 37875551 PMCID: PMC10598214 DOI: 10.1038/s42003-023-05464-z] [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: 07/05/2023] [Accepted: 10/13/2023] [Indexed: 10/26/2023] Open
Abstract
Protein-protein interactions (PPIs) are critical for biological processes and predicting the sites of these interactions is useful for both computational and experimental applications. We present a Structure-agnostic Language Transformer and Peptide Prioritization (SaLT&PepPr) pipeline to predict interaction interfaces from a protein sequence alone for the subsequent generation of peptidic binding motifs. Our model fine-tunes the ESM-2 protein language model (pLM) with a per-position prediction task to identify PPI sites using data from the PDB, and prioritizes motifs which are most likely to be involved within inter-chain binding. By only using amino acid sequence as input, our model is competitive with structural homology-based methods, but exhibits reduced performance compared with deep learning models that input both structural and sequence features. Inspired by our previous results using co-crystals to engineer target-binding "guide" peptides, we curate PPI databases to identify partners for subsequent peptide derivation. Fusing guide peptides to an E3 ubiquitin ligase domain, we demonstrate degradation of endogenous β-catenin, 4E-BP2, and TRIM8, and highlight the nanomolar binding affinity, low off-targeting propensity, and function-altering capability of our best-performing degraders in cancer cells. In total, our study suggests that prioritizing binders from natural interactions via pLMs can enable programmable protein targeting and modulation.
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Affiliation(s)
- Garyk Brixi
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Tianzheng Ye
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA
| | - Lauren Hong
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Tian Wang
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Connor Monticello
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Natalia Lopez-Barbosa
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA
| | - Sophia Vincoff
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Vivian Yudistyra
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Lin Zhao
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Elena Haarer
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Tianlai Chen
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | | | - Kalyan Palepu
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Suhaas Bhat
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | | | - Xinning Li
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Tong Liu
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Sue Zhang
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Lillian Petersen
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Matthew P DeLisa
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, NY, USA
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
- Cornell Institute of Biotechnology, Cornell University, Ithaca, NY, USA
| | - Pranam Chatterjee
- Department of Biomedical Engineering, Duke University, Durham, NC, USA.
- Department of Computer Science, Duke University, Durham, NC, USA.
- Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
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Yao YL, He SK, Lei Z, Ye T, Xie Y, Deng ZG, Cui B, Qi W, Yang L, Zhu SP, He XT, Zhou WM, Qiao B. High-Flux Neutron Generator Based on Laser-Driven Collisionless Shock Acceleration. Phys Rev Lett 2023; 131:025101. [PMID: 37505952 DOI: 10.1103/physrevlett.131.025101] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 10/20/2022] [Accepted: 05/24/2023] [Indexed: 07/30/2023]
Abstract
A novel compact high-flux neutron generator with a pitcher-catcher configuration based on laser-driven collisionless shock acceleration (CSA) is proposed and experimentally verified. Different from those that previously relied on target normal sheath acceleration (TNSA), CSA in nature favors not only acceleration of deuterons (instead of hydrogen contaminants) but also increasing of the number of deuterons in the high-energy range, therefore having great advantages for production of high-flux neutron source. The proof-of-principle experiment has observed a typical CSA plateau feature from 2 to 6 MeV in deuteron energy spectrum and measured a forward neutron flux with yield 6.6×10^{7} n/sr from the LiF catcher target, an order of magnitude higher than the compared TNSA case, where the laser intensity is 10^{19} W/cm^{2}. Self-consistent simulations have reproduced the experimental results and predicted that a high-flux forward neutron source with yield up to 5×10^{10} n/sr can be obtained when laser intensity increases to 10^{21} W/cm^{2} under the same laser energy.
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Affiliation(s)
- Y L Yao
- Center for Applied Physics and Technology, HEDPS and State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - S K He
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics (CAEP), Mianyang 621900, China
| | - Z Lei
- Center for Applied Physics and Technology, HEDPS and State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - T Ye
- Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
| | - Y Xie
- Center for Applied Physics and Technology, HEDPS and State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
| | - Z G Deng
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics (CAEP), Mianyang 621900, China
| | - B Cui
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics (CAEP), Mianyang 621900, China
| | - W Qi
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics (CAEP), Mianyang 621900, China
| | - L Yang
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics (CAEP), Mianyang 621900, China
| | - S P Zhu
- Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
| | - X T He
- Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
| | - W M Zhou
- Science and Technology on Plasma Physics Laboratory, Research Center of Laser Fusion, China Academy of Engineering Physics (CAEP), Mianyang 621900, China
| | - B Qiao
- Center for Applied Physics and Technology, HEDPS and State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, China
- Frontiers Science Center for Nano-optoelectronic, Peking University, Beijing 100094, China
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Erdmann É, Ould Madi Berthélémy P, Cottard F, Angel C, Schreyer E, Ye T, Morlet B, Negroni L, Kieffer B, Céraline J. Androgen receptor-mediated transcriptional repression targets cell plasticity in prostate cancer. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)01964-4] [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: 11/05/2022] Open
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Ye T, Yuan SY, Fan L, Feng LW, Chen YT, Chen J. [Retrospective study on the efficacy and safety of low dose apatinib in reversing chemotherapy resistance in sarcoma]. Zhonghua Yi Xue Za Zhi 2022; 102:2435-2440. [PMID: 36000372 DOI: 10.3760/cma.j.cn112137-20220106-00039] [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: 06/15/2023]
Abstract
Objective: To explore whether apatinib can reverse the chemotherapy resistance of patients with advanced sarcoma. Methods: The clinical data of advanced sarcoma patients after chemotherapy who received the original chemotherapy regimen combined with low-dose apatinib in Cancer Center of Union Hospital affiliated to Tongji Medical College of Huazhong University of Science and Technology from May 2018 to November 2021 were collected retrospectively to evaluate the efficacy and safety of this regimen. The primary end point was progression-free survival (PFS), and the secondary end points were objective response rate (ORR), disease control rate (DCR), overall survival (OS) and adverse events (AE). The patients were grouped according to the diagnosis: osteosarcoma, soft tissue sarcoma and undifferentiated small round cell sarcoma. And the benefits of combination treatment was investigated with the stratified analysis of best outcome of combined therapy, lines of chemotherapy received, best response and PFS of original chemotherapy. Results: A total of 30 patients were included in this study, including 20 males and 10 females. The mean age was (25.6±14.7) years. There were 9 cases of osteosarcoma, 11 cases of soft tissue sarcoma and 10 cases of undifferentiated small round cell sarcoma. No patient achieved complete response, 8 patients (26.7%) achieved partial response, 19 patients (63.3%) achieved disease stability, the ORR was 26.7%(8/30), and the DCR was 90.0%(27/30). The median PFS and OS were 4.1 and 13.1 months respectively. Among the three different subtypes of sarcoma, the ORR of osteosarcoma was 44.4% (4/9), the median PFS was 4.1 months, and the median OS was not yet achieved; the ORR of undifferentiated small round cell sarcoma was 40% (4/10), the median PFS was 6.4 months, and the median OS was 10.9 months; No response was observed in soft tissue sarcoma, and the median PFS and median OS was 3.5 and 7.3 months respectively. Patients who achieved objective response had better PFS than patients with stable disease (12.8 vs 3.8 months, P=0.015), and patients with PFS≥ 6 months of original chemotherapy had better PFS benefits (12.7 vs 2.7 months, P<0.001). However, the number of original chemotherapy lines and the best response of original chemotherapy had no significant effect on the PFS of this combination regimen. In terms of safety, the related toxicity of apatinib was no more than grade 2, and the grade 4 chemotherapy-related adverse reactions was mainly hematological toxicity, of which 2 patients interrupted treatment because of febrile neutropenia. Conclusion: Low dose apatinib is effective in reversing chemotherapy resistance of osteosarcoma and undifferentiated small round cell sarcoma with acceptable adverse reactions.
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Affiliation(s)
- T Ye
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - S Y Yuan
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - L Fan
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - L W Feng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Y T Chen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - J Chen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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8
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Fan L, Ye T, Chen J. [Current status and prospects of anti-angiogenic small-molecule tyrosine kinase inhibitors in the therapy of soft tissue sarcoma]. Zhonghua Yi Xue Za Zhi 2022; 102:2405-2410. [PMID: 36000369 DOI: 10.3760/cma.j.cn112137-20220112-00077] [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: 06/15/2023]
Abstract
Chemotherapy is the main systemic treatment for patients with advanced soft tissue sarcoma, and immunotherapy is only effective for some special subtypes. Anti-angiogenic small molecule tyrosine kinase inhibitors represented by pazopanib and anlotinib are the main drugs of targeted therapy. They have been clearly recommended as the second-line treatment of non-specific soft tissue sarcoma in guidelines. In recent years, in addition to second-line monotherapy in patients with advanced sarcoma, some studies have been carried out in second-line combination therapy, maintenance therapy, first-line therapy and neoadjuvant therapy. This article briefly reviews the application status and prospect of anti-angiogenic small molecule tyrosine kinase inhibitors in advanced soft tissue sarcoma.
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Affiliation(s)
- L Fan
- Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China
| | - T Ye
- Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China
| | - J Chen
- Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan 430022, China
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Ye T, Li C, Zhang XQ, Shao YM, Huang Q, Cui SJ, Zhou B. [The application of nasal mucosal flaps in frontal drill out procedures]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2022; 57:915-922. [PMID: 36058656 DOI: 10.3760/cma.j.cn115330-20211215-00797] [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: 06/15/2023]
Abstract
Objective: To summarize the follow-up outcomes of frontal drill out procedures (draf Ⅱb, extended draf Ⅱb and draf Ⅲ) using mucosal flaps, and discuss the surgical indications of different mucosal flaps and their potential benefits to the opening of the frontal neo-ostium. Methods: A total of 48 patients with chronic rhinosinusitis or frontal mucoceles treated by draf Ⅱb, extended draf Ⅱb and draf Ⅲ between 2013 and 2019 in Beijing TongRen Hospital were enrolled in this study. Twenty-four patients who were treated with mucosal flaps were considered as mucosal flap group (including 19 males and 5 females, aging from 19 to 71 years), and the other 24 patients who didn't have neo-ostium reconstruction were considered as control group (including 18 males and 6 females, aging from 21 to 63 years). The frontal neo-ostium crosssectional area was measured with osiriX® 7 days and 1 year postoperatively. Lund-Kennedy score (LKS) was also completed to analyze the difference of therapeutic effect between mucosal flap group and control group. SPSS 23.0 software was used for statistical analysis. Results: The postoperative follow-up time was 18 to 102 months. The postoperative epithelialization time in the mucosal flap group and the control group was (2.5±0.9) months and (3.0±0.7) months (Mean±SD), respectively, with statistically significant (t=1.97, P=0.024). At the end of follow-up, 23 cases (95.8%) had well opened frontal neo-ostium, 1 case (4.2%) was re-stenosed, and there was no revision surgery in the mucosal flap group. In the control group, 16 cases (66.7%) had well opened frontal neo-ostium, 8 cases (33.3%) were re-stenosed, 4 cases (16.7%) had revision surgery. The mucosal flap group had much fewer stenosis cases than control group (χ2=4.92, P=0.027). The neo-ostium area in the mucosal flap group and the control group was reduced by (0.87±0.58) cm2 and (1.54±1.15) cm2 1 year after operation respectively, with statistically significant (t=1.72, P=0.046). There was no case of frontal sinus atresia and no surgical complication in both groups. The two-factor repeated measurement analysis of variance after surgery showed that the average LKS of the mucosal flap group was 0.78 points lower than that of the control group. In other words, the influence of grafting technique on LKS was statistically significant (F=5.33, P=0.035). Conclusions: The application of mucosal flaps to cover the denuded bone during frontal drill out procedures can prohibit mucosal scar and new bone formation, and significantly reduce the stenosis rate of frontal neo-ostium.
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Affiliation(s)
- T Ye
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing TianTan Hospital, Capital Medical University, Beijing 100050, China
| | - C Li
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Key Laboratory of Otorhinolaryngology Head and Neck Surgery, Ministry of Education, Beijing 100730, China
| | - X Q Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Key Laboratory of Otorhinolaryngology Head and Neck Surgery, Ministry of Education, Beijing 100730, China
| | - Y M Shao
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Key Laboratory of Otorhinolaryngology Head and Neck Surgery, Ministry of Education, Beijing 100730, China
| | - Q Huang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Key Laboratory of Otorhinolaryngology Head and Neck Surgery, Ministry of Education, Beijing 100730, China
| | - S J Cui
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Key Laboratory of Otorhinolaryngology Head and Neck Surgery, Ministry of Education, Beijing 100730, China
| | - B Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing TongRen Hospital, Capital Medical University, Key Laboratory of Otorhinolaryngology Head and Neck Surgery, Ministry of Education, Beijing 100730, China
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Adhikari D, Albataineh H, Androic D, Aniol KA, Armstrong DS, Averett T, Ayerbe Gayoso C, Barcus SK, Bellini V, Beminiwattha RS, Benesch JF, Bhatt H, Bhatta Pathak D, Bhetuwal D, Blaikie B, Boyd J, Campagna Q, Camsonne A, Cates GD, Chen Y, Clarke C, Cornejo JC, Covrig Dusa S, Dalton MM, Datta P, Deshpande A, Dutta D, Feldman C, Fuchey E, Gal C, Gaskell D, Gautam T, Gericke M, Ghosh C, Halilovic I, Hansen JO, Hassan O, Hauenstein F, Henry W, Horowitz CJ, Jantzi C, Jian S, Johnston S, Jones DC, Kakkar S, Katugampola S, Keppel C, King PM, King DE, Kumar KS, Kutz T, Lashley-Colthirst N, Leverick G, Liu H, Liyanage N, Mammei J, Mammei R, McCaughan M, McNulty D, Meekins D, Metts C, Michaels R, Mihovilovic M, Mondal MM, Napolitano J, Narayan A, Nikolaev D, Owen V, Palatchi C, Pan J, Pandey B, Park S, Paschke KD, Petrusky M, Pitt ML, Premathilake S, Quinn B, Radloff R, Rahman S, Rashad MNH, Rathnayake A, Reed BT, Reimer PE, Richards R, Riordan S, Roblin YR, Seeds S, Shahinyan A, Souder P, Thiel M, Tian Y, Urciuoli GM, Wertz EW, Wojtsekhowski B, Yale B, Ye T, Yoon A, Xiong W, Zec A, Zhang W, Zhang J, Zheng X. Precision Determination of the Neutral Weak Form Factor of ^{48}Ca. Phys Rev Lett 2022; 129:042501. [PMID: 35939025 DOI: 10.1103/physrevlett.129.042501] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 06/15/2023]
Abstract
We report a precise measurement of the parity-violating (PV) asymmetry A_{PV} in the elastic scattering of longitudinally polarized electrons from ^{48}Ca. We measure A_{PV}=2668±106(stat)±40(syst) parts per billion, leading to an extraction of the neutral weak form factor F_{W}(q=0.8733 fm^{-1})=0.1304±0.0052(stat)±0.0020(syst) and the charge minus the weak form factor F_{ch}-F_{W}=0.0277±0.0055. The resulting neutron skin thickness R_{n}-R_{p}=0.121±0.026(exp)±0.024(model) fm is relatively thin yet consistent with many model calculations. The combined CREX and PREX results will have implications for future energy density functional calculations and on the density dependence of the symmetry energy of nuclear matter.
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Affiliation(s)
- D Adhikari
- Idaho State University, Pocatello, Idaho 83209, USA
| | - H Albataineh
- Texas A & M University-Kingsville, Kingsville, Texas 78363, USA
| | - D Androic
- University of Zagreb, Faculty of Science, Zagreb, HR 10002, Croatia
| | - K A Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | | | - T Averett
- William and Mary, Williamsburg, Virginia 23185, USA
| | | | - S K Barcus
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 95123 Catania, Italy
| | | | - J F Benesch
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | | | - D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - B Blaikie
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - J Boyd
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Q Campagna
- William and Mary, Williamsburg, Virginia 23185, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G D Cates
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Chen
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - C Clarke
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - J C Cornejo
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M M Dalton
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Datta
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Deshpande
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - C Feldman
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Institute for Advanced Computational Science, Stony Brook, New York 11794, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
- University of Virginia, Charlottesville, Virginia 22904, USA
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23668, USA
| | - M Gericke
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - C Ghosh
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - I Halilovic
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - J-O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - O Hassan
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - F Hauenstein
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - C J Horowitz
- Indiana University, Bloomington, Indiana 47405, USA
| | - C Jantzi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Jian
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Johnston
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - D C Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - S Kakkar
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - S Katugampola
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - D E King
- Temple University, Philadelphia, Pennsylvania 19122, USA
- Syracuse University, Syracuse, New York 13244, USA
| | - K S Kumar
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - T Kutz
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | | | - G Leverick
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - H Liu
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - N Liyanage
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Mammei
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - R Mammei
- University of Winnipeg, Winnipeg, Manitoba R3B2E9, Canada
| | - M McCaughan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D McNulty
- Idaho State University, Pocatello, Idaho 83209, USA
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Metts
- William and Mary, Williamsburg, Virginia 23185, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Mihovilovic
- Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, SI-1000 Ljubljana, Slovenia
| | - M M Mondal
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
| | - J Napolitano
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - A Narayan
- Veer Kunwar Singh University, Ara, Bihar 802301, India
| | - D Nikolaev
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - V Owen
- William and Mary, Williamsburg, Virginia 23185, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
| | - J Pan
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - B Pandey
- Hampton University, Hampton, Virginia 23668, USA
| | - S Park
- Mississippi State University, Mississippi State, Mississippi 39762, USA
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - K D Paschke
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Petrusky
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - M L Pitt
- Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S Premathilake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - R Radloff
- Ohio University, Athens, Ohio 45701, USA
| | - S Rahman
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - M N H Rashad
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Rathnayake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B T Reed
- Indiana University, Bloomington, Indiana 47405, USA
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - R Richards
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - S Riordan
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - Y R Roblin
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Seeds
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Shahinyan
- A. I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia
| | - P Souder
- Syracuse University, Syracuse, New York 13244, USA
| | - M Thiel
- Institut für Kernphysik, Johannes Gutenberg-Universität, Mainz 55122, Germany
| | - Y Tian
- Syracuse University, Syracuse, New York 13244, USA
| | | | - E W Wertz
- William and Mary, Williamsburg, Virginia 23185, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Yale
- William and Mary, Williamsburg, Virginia 23185, USA
| | - T Ye
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - A Yoon
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - W Xiong
- Syracuse University, Syracuse, New York 13244, USA
- Shandong University, Qingdao, Shandong 266237, China
| | - A Zec
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - W Zhang
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - J Zhang
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
- Shandong University, Qingdao, Shandong 266237, China
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22904, USA
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Felten R, Ye T, Schleiss C, Schwikowski B, Sibilia J, Monneaux F, Dumortier H, Jonsson R, Lessard C, Ng WF, Takeuchi T, Mariette X, Gottenberg JE. POS0097 IDENTIFICATION OF NEW CANDIDATE DRUGS FOR PRIMARY SJÖGREN’S SYNDROME USING A DRUG REPURPOSING TRANSCRIPTOMIC APPROACH. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.1998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundNo immunomodulatory drug has ever demonstrated its efficacy in primary Sjögren’s Syndrome (pSS). Drug repurposing, or drug repositioning, refers to the use in another disease of an existing drug, originally approved or evaluated in a different disease.ObjectivesThe objective of our study was to repurpose existing therapeutic drugs in pSS using a transcriptomic approach.MethodsWe generated pSS transcriptomic signatures from peripheral blood samples of patients with pSS compared to healthy controls in two cohorts (ASSESS and a Norwegian cohort) and data mined available pSS transcriptomic signatures in public databases. We compared each disease signature to transcriptomic signatures, obtained from the biological action of 2837 drugs, 2160 knock-in and 3799 knock-down genes, available in the Connectivity Map database. A median similarity score with regard to disease signatures was computed for each candidate drug/gene. Drugs and genes were selected if p<0.05 and similarity score >│80│. If this score is sufficiently high and statistically significant (>80, p<0.05), the tested drug or gene, mimics the signature of the disease. Conversely, if this score is sufficiently low and statistically significant (<-80, p<0.05), the tested drug or gene inverts the signature of the disease and might represent a potential treatment or therapeutic target of interest (Figure 1).Figure 1.Methods of drug-repurposing transcriptomic analysis (adapted from Toro-Dominguez et al, Arthritis Res Ther 2017;19:54)Results1091 peripheral blood transcriptomes were analyzed from 6 independent studies (906 patients with pSS and 185 healthy controls). Our analysis identified 11 transcriptomic drug signatures significantly associated with pSS signature. We identified 72 transcriptomic knock-in (11) or knock-down (61) gene signatures significantly associated with that of pSS, including 21 with a negative similarity score (Table 1).Table 1.Knock-down and knock-in genes significantly associated with the pSS transcriptomic signaturesType ofexperimentSimilarity scoreGenesNumber of genesKnock-in+IFNG, DUSP28, IFNB1, LYN, BCL2L2, TNFRSF1A, CD40, BCL10, NLK, ZNF39810-SLC52A2111Knock-down+SLC25A14, GOLIM4, DTYMK, DCXR, RRM2, IMPA1, CLTB, F12, CAB39, ID1, ISOC1, UBAP1, HIGD2A, UFD1L, SOD2, BTG1, PRKCI, HIST2H2BE, NISCH, TEAD4, MTX2, TYK2, GTF2B, NDUFS7, NNT, ACADSB, GSTP1, HOMER2, SORBS3, PCK2, PHB2, PDXK, TES, TM9SF2, TBX2, HOXA6, KIF2C, MED1, NR2F6, CD14, BECN141-TM9SF3, E2F3, PRMT3, KD, PKN2, SUCLA2, CD44, GRN, SP3, ATP5S, MYCBP2, TRAF7, POLA2, ADRB2, PSMG1, PPP2R3C, PMAIP1, ETFA, ANKRD37, SPECC1L2061Type I and II interferons were highly ranked (similarity score >99), and their overexpression mimicked the disease signature. CD40 appeared also as a very relevant target (similarity score = 98.8). Three drugs had a significant negative similarity score: ampicillin (-88.69, p=0.0019), amylocaine (-88.28, p=0.0026), and droxinostat (-85.42, p=0.0027). Droxinostat is a HDAC inhibitor. HDAC activity has been shown to be an essential element of the coactivation system for IFN-induced gene regulation and the IFN-induced innate immune response.ConclusionThis first drug repositioning transcriptomic approach in Sjögren’s syndrome confirms the interest of targeting interferons and identifies histone deacetylases as potential therapeutic targets.AcknowledgementsInvestigators of the ASSESS cohort: Emmanuelle Dernis, Valerie Devauchelle-Pensec, Philippe Dieude, Jean-Jacques Dubost, Anne-Laure Fauchais, Vincent Goeb, Eric Hachulla, Pierre Yves Hatron, Claire Larroche, Véronique Le Guern, Jacques Morel, Aleth Perdriger, Carinne Salliot, Stephanie Rist, Alain Saraux, Jean Sibilia, Olivier Vittecoq, Gaétane Nocturne, Philippe Ravaud, Raphaèle SerorCentre de Ressources Biologiques de l’Hôpital Bichat: Sarah TubianaJohan G. Brun for contributing to the Norwegian cohort.Funding SourcesThis work was supported by the Innovative Medicines Initiative 2 Joint Undertaking (IMI 2 JU) (NECESSITY grant 806975). The Joint Undertaking received support from the European Union’s Horizon 2020 Research and Innovation Program and from the European Federation of Pharmaceutical Industries and Associations. This work was also supported by R01 AR065953 Beth the NIH, United States. The contents are the sole responsibility of the authors and do not necessarily the official views of the NIH.JEG received an unrestricted grant from Bristol-Myer-Squibbs to do the transcriptomic analysis of the ASSESS and Norwegian cohorts. JEG received a grant from Geneviève Garnier (Association Française du Syndrome de Gougerot-Sjögren et des syndromes secs).The ASSESS cohort is promoted by the French Society of Rheumatology and received two research grants from the French Society of Rheumatology.The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Disclosure of InterestsRenaud FELTEN: None declared, Tao Ye: None declared, Cédric Schleiss: None declared, Benno Schwikowski: None declared, Jean Sibilia: None declared, Fanny Monneaux: None declared, Hélène Dumortier: None declared, Roland Jonsson: None declared, Christopher Lessard: None declared, Wan Fai Ng: None declared, Tsutomu Takeuchi: None declared, Xavier Mariette: None declared, Jacques-Eric Gottenberg Grant/research support from: JEG received an unrestricted grant from Bristol-Myer-Squibbs to do the transcriptomic analysis of the ASSESS and Norwegian cohorts.
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Adhikari D, Albataineh H, Androic D, Aniol K, Armstrong DS, Averett T, Ayerbe Gayoso C, Barcus S, Bellini V, Beminiwattha RS, Benesch JF, Bhatt H, Bhatta Pathak D, Bhetuwal D, Blaikie B, Boyd J, Campagna Q, Camsonne A, Cates GD, Chen Y, Clarke C, Cornejo JC, Covrig Dusa S, Dalton MM, Datta P, Deshpande A, Dutta D, Feldman C, Fuchey E, Gal C, Gaskell D, Gautam T, Gericke M, Ghosh C, Halilovic I, Hansen JO, Hauenstein F, Henry W, Horowitz CJ, Jantzi C, Jian S, Johnston S, Jones DC, Karki B, Kakkar S, Katugampola S, Keppel CE, King PM, King DE, Knauss M, Kumar KS, Kutz T, Lashley-Colthirst N, Leverick G, Liu H, Liyange N, Malace S, Mammei J, Mammei R, McCaughan M, McNulty D, Meekins D, Metts C, Michaels R, Mihovilovic M, Mondal MM, Napolitano J, Nikolaev D, Rashad MNH, Owen V, Palatchi C, Pan J, Pandey B, Park S, Paschke KD, Petrusky M, Pitt ML, Premathilake S, Puckett AJR, Quinn B, Radloff R, Rahman S, Rathnayake A, Reed BT, Reimer PE, Richards R, Riordan S, Roblin Y, Seeds S, Shahinyan A, Souder PA, Tang L, Thiel M, Tian Y, Urciuoli GM, Wertz EW, Wojtsekhowski B, Xiong W, Yale B, Ye T, Zec A, Zhang W, Zhang J, Zheng X. New Measurements of the Beam-Normal Single Spin Asymmetry in Elastic Electron Scattering over a Range of Spin-0 Nuclei. Phys Rev Lett 2022; 128:142501. [PMID: 35476486 DOI: 10.1103/physrevlett.128.142501] [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: 11/09/2021] [Revised: 01/31/2022] [Accepted: 02/04/2022] [Indexed: 06/14/2023]
Abstract
We report precision determinations of the beam-normal single spin asymmetries (A_{n}) in the elastic scattering of 0.95 and 2.18 GeV electrons off ^{12}C, ^{40}Ca, ^{48}Ca, and ^{208}Pb at very forward angles where the most detailed theoretical calculations have been performed. The first measurements of A_{n} for ^{40}Ca and ^{48}Ca are found to be similar to that of ^{12}C, consistent with expectations and thus demonstrating the validity of theoretical calculations for nuclei with Z≤20. We also report A_{n} for ^{208}Pb at two new momentum transfers (Q^{2}) extending the previous measurement. Our new data confirm the surprising result previously reported, with all three data points showing significant disagreement with the results from the Z≤20 nuclei. These data confirm our basic understanding of the underlying dynamics that govern A_{n} for nuclei containing ≲50 nucleons, but point to the need for further investigation to understand the unusual A_{n} behavior discovered for scattering off ^{208}Pb.
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Affiliation(s)
- D Adhikari
- Idaho State University, Pocatello, Idaho 83209, USA
| | - H Albataineh
- Texas A & M University - Kingsville, Kingsville, Texas 78363, USA
| | - D Androic
- University of Zagreb, Faculty of Science, Zagreb HR 10002, Croatia
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | | | - T Averett
- William & Mary, Williamsburg, Virginia 23185, USA
| | | | - S Barcus
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 95123 Catania, Italy
| | | | - J F Benesch
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | | | - D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - B Blaikie
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - J Boyd
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Q Campagna
- William & Mary, Williamsburg, Virginia 23185, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G D Cates
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Chen
- Louisiana Tech University, Ruston, Louisiana 71272, USA
| | - C Clarke
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - J C Cornejo
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M M Dalton
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Datta
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Deshpande
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
- Brookhaven National Laboratory, Upton, New York 11973, USA
| | - D Dutta
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - C Feldman
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Institute for Advanced Computational Science, Stony Brook, New York 11794, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
- University of Virginia, Charlottesville, Virginia 22904, USA
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23668, USA
| | - M Gericke
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - C Ghosh
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - I Halilovic
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - J-O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - C J Horowitz
- Indiana University, Bloomington, Indiana 47405, USA
| | - C Jantzi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Jian
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Johnston
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - D C Jones
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - S Kakkar
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - S Katugampola
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C E Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - D E King
- Syracuse University, Syracuse, New York 13244, USA
| | - M Knauss
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - K S Kumar
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - T Kutz
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | | | - G Leverick
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - H Liu
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - N Liyange
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mammei
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - R Mammei
- University of Winnipeg, Winnipeg, Manitoba R3B2E9, Canada
| | - M McCaughan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D McNulty
- Idaho State University, Pocatello, Idaho 83209, USA
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Metts
- William & Mary, Williamsburg, Virginia 23185, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Mihovilovic
- Jôzef Stefan Institute, Ljubljana 1000, Slovenia
- Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana 1000, Slovenia
| | - M M Mondal
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
| | - J Napolitano
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D Nikolaev
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Owen
- William & Mary, Williamsburg, Virginia 23185, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
| | - J Pan
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - B Pandey
- Hampton University, Hampton, Virginia 23668, USA
| | - S Park
- Mississippi State University, Mississippi State, Mississippi 39762, USA
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - K D Paschke
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Petrusky
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- University of Colorado Boulder, Boulder, Colorado 80309, USA
| | - M L Pitt
- Virginia Tech, Blacksburg, Virginia 24061, USA
| | - S Premathilake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - R Radloff
- Ohio University, Athens, Ohio 45701, USA
| | - S Rahman
- University of Manitoba, Winnipeg, Manitoba R3T2N2, Canada
| | - A Rathnayake
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B T Reed
- Indiana University, Bloomington, Indiana 47405, USA
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - R Richards
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - S Riordan
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - Y Roblin
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Seeds
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - A Shahinyan
- A. I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia
| | - P A Souder
- Syracuse University, Syracuse, New York 13244, USA
| | - L Tang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Hampton University, Hampton, Virginia 23668, USA
| | - M Thiel
- Institut für Kernphysik, Johannes Gutenberg-Universität, Mainz 55099, Germany
| | - Y Tian
- Syracuse University, Syracuse, New York 13244, USA
| | | | - E W Wertz
- William & Mary, Williamsburg, Virginia 23185, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - W Xiong
- Syracuse University, Syracuse, New York 13244, USA
| | - B Yale
- William & Mary, Williamsburg, Virginia 23185, USA
| | - T Ye
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - A Zec
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - W Zhang
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
| | - J Zhang
- Stony Brook, State University of New York, Stony Brook, New York 11794, USA
- Center for Frontiers in Nuclear Science, Stony Brook, New York 11794, USA
- Shandong University, Qingdao, Shandong 266237, China
| | - X Zheng
- University of Virginia, Charlottesville, Virginia 22904, USA
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13
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McKenna M, Ye T, Nannapaneni R, Patel C. 58 Should Single Group and Save (G&S) Sampling be Implemented in Spinal Cord Stimulation Surgery (SCSS)? Br J Surg 2021. [DOI: 10.1093/bjs/znab259.650] [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]
Abstract
Abstract
Aim
SCSS is offered to patients who have persistent chronic neuropathic pain after trials of conservative management. Although severe bleeding complications are rare, it is common practice to take two G&S samples from patients pre-operatively. Unnecessary testing can induce patient anxiety and is a financial burden to the NHS. We aim to determine if a single G&S sample before SCSS would be beneficial, and to assess the association between number of risk factors for bleeding and blood loss in SCSS.
Method
Retrospective analysis of 100 patients in one centre who had SCSS over a 3-year period. Bleeding risk factors, haemoglobin levels and complications were recorded for each patient. A review of current literature along with a cost analysis was subsequently performed.
Results
An average drop in haemoglobin levels of 9g/L post-operatively was seen. No patients required blood transfusions. There was no statistically significant difference (P = 0.364) between number of risk factors and blood loss.
Conclusions
The results obtained suggest that SCSS carries a low risk of adverse bleeding requiring blood transfusions. With the lack of guidelines for preoperative G&S samples it is difficult to make decisions on the amount of samples needed before SCSS. Single G&S sampling in patients without bleeding risk factors can reduce patient burden, save costs, and reduce environmental footprints left by laboratory tests. Those with risk factors may still benefit from two pre-operative G&S samples to ensure patient safety.
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Affiliation(s)
- M McKenna
- Neuroscience Department, University Hospital of Wales, Cardiff, United Kingdom
| | - T Ye
- Cardiff University, University Hospital of Wales, Cardiff, United Kingdom
| | - R Nannapaneni
- Neuroscience Department, University Hospital of Wales, Cardiff, United Kingdom
| | - C Patel
- Neuroscience Department, University Hospital of Wales, Cardiff, United Kingdom
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14
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Chen S, Ye T, Fu F, Deng C, Hu H, Sun Y, Pan Y, Zhang Y, Xiang J, Zhang Y, Shen X, Wang S, Wang Z, Li Y, Chen H. P56.03 Prognostic Value of Tumor Spread Through Air Spaces in Patients With Lung Adenocarcinoma after Radical Surgery. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.569] [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: 11/30/2022]
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15
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Stephens EA, Ludwicki MB, Meksiriporn B, Li M, Ye T, Monticello C, Forsythe KJ, Kummer L, Zhou P, Plückthun A, DeLisa MP. Engineering Single Pan-Specific Ubiquibodies for Targeted Degradation of All Forms of Endogenous ERK Protein Kinase. ACS Synth Biol 2021; 10:2396-2408. [PMID: 34399052 DOI: 10.1021/acssynbio.1c00357] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [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] [Indexed: 01/09/2023]
Abstract
Ubiquibodies (uAbs) are a customizable proteome editing technology that utilizes E3 ubiquitin ligases genetically fused to synthetic binding proteins to steer otherwise stable proteins of interest (POIs) to the 26S proteasome for degradation. The ability of engineered uAbs to accelerate the turnover of exogenous or endogenous POIs in a post-translational manner offers a simple yet robust tool for dissecting diverse functional properties of cellular proteins as well as for expanding the druggable proteome to include tumorigenic protein families that have yet-to-be successfully drugged by conventional inhibitors. Here, we describe the engineering of uAbs composed of human carboxyl-terminus of Hsc70-interacting protein (CHIP), a highly modular human E3 ubiquitin ligase, tethered to differently designed ankyrin repeat proteins (DARPins) that bind to nonphosphorylated (inactive) and/or doubly phosphorylated (active) forms of extracellular signal-regulated kinase 1 and 2 (ERK1/2). Two of the resulting uAbs were found to be global ERK degraders, pan-specifically capturing all endogenous ERK1/2 protein forms and redirecting them to the proteasome for degradation in different cell lines, including MCF7 breast cancer cells. Taken together, these results demonstrate how the substrate specificity of an E3 ubiquitin ligase can be reprogrammed to generate designer uAbs against difficult-to-drug targets, enabling a modular platform for remodeling the mammalian proteome.
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Affiliation(s)
- Erin A Stephens
- Biochemistry, Molecular and Cell Biology, Cornell University, Ithaca, New York 14853, United States
| | - Morgan B Ludwicki
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Bunyarit Meksiriporn
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Mingji Li
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Tianzheng Ye
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Connor Monticello
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Katherine J Forsythe
- College of Arts and Sciences, Cornell University, Ithaca, New York 14853, United States
| | - Lutz Kummer
- Department of Biochemistry, University of Zürich, 8057 Zürich, Switzerland
| | - Pengbo Zhou
- Department of Pathology and Laboratory Medicine, The Joan and Stanford I. Weill Medical College of Cornell University, New York, New York 10065, United States
| | - Andreas Plückthun
- Department of Biochemistry, University of Zürich, 8057 Zürich, Switzerland
| | - Matthew P DeLisa
- Biochemistry, Molecular and Cell Biology, Cornell University, Ithaca, New York 14853, United States
- Robert F. Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
- Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States
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16
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Li F, Ye T, Kong HJ, Li J, Hu LL, Yang HY, Guo YH, Li G. [Influence of female age on the fresh cycle live birth rate of different controlled ovarian hyperstimulation protocols in poor ovarian response patients]. Zhonghua Fu Chan Ke Za Zhi 2021; 56:482-488. [PMID: 34304440 DOI: 10.3760/cma.j.cn112141-20210219-00084] [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: 11/05/2022]
Abstract
Objective: To investigate the influence of age on the fresh cycle live birth rate in patients with poor ovarian response in different controlled ovarian hyperstimulation groups. Methods: The clinical data of 3 342 patients in The First Affiliated Hospital of Zhengzhou University from February 2014 to November 2018 were retrospectively collected, including early-follicular phase long-acting gonadotropin-releasing hormone (GnRH) agonist long protocol group (1 375 cases), mid-luteal phase short-acting GnRH agonist long protocol group (1 161 cases) and GnRH antagonist protocol group (806 cases); each group was divided into 4 subgroups according to age: ≤30 years, 31-35 years, 36-40 years and >40 years, the pregnancy outcomes in each age subgroup were analyzed under different controlled ovarian hyperstimulation protocols. Results: In early-follicular phase long-acting GnRH agonist long protocol group, the final live birth rates of each age subgroup were 39.4% (228/579), 36.1% (135/374), 16.6% (48/290) and 3.0% (4/132); in mid-luteal phase short-acting GnRH agonist long protocol group, live birth rates of each age subgroup were 32.1% (99/308), 20.8% (55/264), 13.0% (45/346) and 7.0% (17/243); in GnRH antagonist protocol group, live birth rates of each age subgroup were 22.8% (26/114), 16.3% (25/153), 11.2% (31/278), and 3.8% (10/261); the live birth rate of each group decreased significantly with the increase of age (all P<0.01). When the age≤35 years old, the fresh cycle live birth rate of the early-follicular phase long-acting GnRH agonist long protocol group was significantly better than those of the other two groups (all P<0.01). The multivariate logistic regression analysis of age and live birth rate of the three controlled ovarian hyperstimulation groups showed age was the independent influence factor (OR=0.898, 95%CI: 0.873-0.916, P<0.01; OR=0.926, 95%CI: 0.890-0.996, P<0.01; OR=0.901, 95%CI: 0.863-0.960, P<0.01). Conclusions: Age is an independent influencing factor for the prediction of fresh cycle live birth rate in low ovarian response patients. No matter which controlled ovarian hyperstimulation protocol is adopted, the final live birth rate decreases significantly with the increase of women's age. In addition, the early-follicular phase long-acting GnRH agonist long protocol has the highest fresh cycle live birth rate among all controlled ovarian hyperstimulation groups.
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Affiliation(s)
- F Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - T Ye
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H J Kong
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - L L Hu
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H Y Yang
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y H Guo
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - G Li
- Center for Reproductive Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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17
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Haoran L, Ye T, Yang X, Duan C, Yao X, Ye Z, Liang C. AhR activation attenuates calcium oxalate nephrocalcinosis-mediated kidney injury and crystals deposition by promoting M2 macrophage polarization. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)00615-1] [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: 11/25/2022]
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18
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Adhikari D, Albataineh H, Androic D, Aniol K, Armstrong DS, Averett T, Ayerbe Gayoso C, Barcus S, Bellini V, Beminiwattha RS, Benesch JF, Bhatt H, Bhatta Pathak D, Bhetuwal D, Blaikie B, Campagna Q, Camsonne A, Cates GD, Chen Y, Clarke C, Cornejo JC, Covrig Dusa S, Datta P, Deshpande A, Dutta D, Feldman C, Fuchey E, Gal C, Gaskell D, Gautam T, Gericke M, Ghosh C, Halilovic I, Hansen JO, Hauenstein F, Henry W, Horowitz CJ, Jantzi C, Jian S, Johnston S, Jones DC, Karki B, Katugampola S, Keppel C, King PM, King DE, Knauss M, Kumar KS, Kutz T, Lashley-Colthirst N, Leverick G, Liu H, Liyange N, Malace S, Mammei R, Mammei J, McCaughan M, McNulty D, Meekins D, Metts C, Michaels R, Mondal MM, Napolitano J, Narayan A, Nikolaev D, Rashad MNH, Owen V, Palatchi C, Pan J, Pandey B, Park S, Paschke KD, Petrusky M, Pitt ML, Premathilake S, Puckett AJR, Quinn B, Radloff R, Rahman S, Rathnayake A, Reed BT, Reimer PE, Richards R, Riordan S, Roblin Y, Seeds S, Shahinyan A, Souder P, Tang L, Thiel M, Tian Y, Urciuoli GM, Wertz EW, Wojtsekhowski B, Yale B, Ye T, Yoon A, Zec A, Zhang W, Zhang J, Zheng X. Accurate Determination of the Neutron Skin Thickness of ^{208}Pb through Parity-Violation in Electron Scattering. Phys Rev Lett 2021; 126:172502. [PMID: 33988387 DOI: 10.1103/physrevlett.126.172502] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 03/22/2021] [Indexed: 06/12/2023]
Abstract
We report a precision measurement of the parity-violating asymmetry A_{PV} in the elastic scattering of longitudinally polarized electrons from ^{208}Pb. We measure A_{PV}=550±16(stat)±8(syst) parts per billion, leading to an extraction of the neutral weak form factor F_{W}(Q^{2}=0.00616 GeV^{2})=0.368±0.013. Combined with our previous measurement, the extracted neutron skin thickness is R_{n}-R_{p}=0.283±0.071 fm. The result also yields the first significant direct measurement of the interior weak density of ^{208}Pb: ρ_{W}^{0}=-0.0796±0.0036(exp)±0.0013(theo) fm^{-3} leading to the interior baryon density ρ_{b}^{0}=0.1480±0.0036(exp)±0.0013(theo) fm^{-3}. The measurement accurately constrains the density dependence of the symmetry energy of nuclear matter near saturation density, with implications for the size and composition of neutron stars.
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Affiliation(s)
- D Adhikari
- Idaho State University, Pocatello, ID 83209, USA
| | - H Albataineh
- Texas A & M University-Kingsville, Kingsville, TX 78363, USA
| | - D Androic
- University of Zagreb, Faculty of Science
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | | | - T Averett
- William & Mary, Williamsburg, Virginia 23185, USA
| | | | - S Barcus
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Sezione di Catania, 95123 Catania, Italy
| | | | - J F Benesch
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Bhatt
- Mississippi State University, Mississippi State, MS 39762, USA
| | | | - D Bhetuwal
- Mississippi State University, Mississippi State, MS 39762, USA
| | - B Blaikie
- University of Manitoba, Winnipeg, MB R3T2N2 Canada
| | - Q Campagna
- William & Mary, Williamsburg, Virginia 23185, USA
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - G D Cates
- University of Virginia, Charlottesville, VA 22904, USA
| | - Y Chen
- Louisiana Tech University, Ruston, LA 71272 USA
| | - C Clarke
- Stony Brook, State University of New York, NY 11794, USA
| | - J C Cornejo
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Datta
- University of Connecticut, Storrs, CT 06269, USA
| | - A Deshpande
- Stony Brook, State University of New York, NY 11794, USA
- Center for Frontiers in Nuclear Science, NY 11794, USA
| | - D Dutta
- Mississippi State University, Mississippi State, MS 39762, USA
| | - C Feldman
- Stony Brook, State University of New York, NY 11794, USA
| | - E Fuchey
- University of Connecticut, Storrs, CT 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, VA 22904, USA
- Stony Brook, State University of New York, NY 11794, USA
- Center for Frontiers in Nuclear Science, NY 11794, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23668, USA
| | - M Gericke
- University of Manitoba, Winnipeg, MB R3T2N2 Canada
| | - C Ghosh
- Stony Brook, State University of New York, NY 11794, USA
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - I Halilovic
- University of Manitoba, Winnipeg, MB R3T2N2 Canada
| | - J-O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, PA 19122, USA
| | - C J Horowitz
- Indiana University, Bloomington, Indiana 47405, USA
| | - C Jantzi
- University of Virginia, Charlottesville, VA 22904, USA
| | - S Jian
- University of Virginia, Charlottesville, VA 22904, USA
| | - S Johnston
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - D C Jones
- Temple University, Philadelphia, PA 19122, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - S Katugampola
- University of Virginia, Charlottesville, VA 22904, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - D E King
- Syracuse University, Syracuse, New York 13244, USA
| | - M Knauss
- Duquesne University, 600 Forbes Avenue, Pittsburgh, PA 15282, USA
| | - K S Kumar
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - T Kutz
- Stony Brook, State University of New York, NY 11794, USA
| | | | - G Leverick
- University of Manitoba, Winnipeg, MB R3T2N2 Canada
| | - H Liu
- University of Massachusetts Amherst, Amherst, Massachusetts 01003, USA
| | - N Liyange
- University of Virginia, Charlottesville, VA 22904, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Mammei
- University of Winnipeg, Winnipeg, MB R3B2E9 Canada
| | - J Mammei
- University of Manitoba, Winnipeg, MB R3T2N2 Canada
| | - M McCaughan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D McNulty
- Idaho State University, Pocatello, ID 83209, USA
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Metts
- William & Mary, Williamsburg, Virginia 23185, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M M Mondal
- Stony Brook, State University of New York, NY 11794, USA
- Center for Frontiers in Nuclear Science, NY 11794, USA
| | | | | | - D Nikolaev
- Temple University, Philadelphia, PA 19122, USA
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - V Owen
- William & Mary, Williamsburg, Virginia 23185, USA
| | - C Palatchi
- University of Virginia, Charlottesville, VA 22904, USA
- Center for Frontiers in Nuclear Science, NY 11794, USA
| | - J Pan
- University of Manitoba, Winnipeg, MB R3T2N2 Canada
| | - B Pandey
- Hampton University, Hampton, Virginia 23668, USA
| | - S Park
- Stony Brook, State University of New York, NY 11794, USA
| | - K D Paschke
- University of Virginia, Charlottesville, VA 22904, USA
| | - M Petrusky
- Stony Brook, State University of New York, NY 11794, USA
| | - M L Pitt
- Virginia Tech, Blacksburg, Virginia 24061, USA
| | | | | | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - R Radloff
- Ohio University, Athens, Ohio 45701, USA
| | - S Rahman
- University of Manitoba, Winnipeg, MB R3T2N2 Canada
| | - A Rathnayake
- University of Virginia, Charlottesville, VA 22904, USA
| | - B T Reed
- Indiana University, Bloomington, Indiana 47405, USA
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Il 60439
| | - R Richards
- Stony Brook, State University of New York, NY 11794, USA
| | - S Riordan
- Physics Division, Argonne National Laboratory, Lemont, Il 60439
| | - Y Roblin
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Seeds
- University of Connecticut, Storrs, CT 06269, USA
| | - A Shahinyan
- A. I. Alikhanyan National Science Laboratory (Yerevan Physics Institute), Yerevan 0036, Armenia
| | - P Souder
- Syracuse University, Syracuse, New York 13244, USA
| | - L Tang
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Hampton University, Hampton, Virginia 23668, USA
| | - M Thiel
- Institut für Kernphysik, Johannes Gutenberg-Universität, Mainz 55122, Germany
| | - Y Tian
- Syracuse University, Syracuse, New York 13244, USA
| | | | - E W Wertz
- William & Mary, Williamsburg, Virginia 23185, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Yale
- William & Mary, Williamsburg, Virginia 23185, USA
| | - T Ye
- Stony Brook, State University of New York, NY 11794, USA
| | - A Yoon
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - A Zec
- University of Virginia, Charlottesville, VA 22904, USA
| | - W Zhang
- Stony Brook, State University of New York, NY 11794, USA
| | - J Zhang
- Stony Brook, State University of New York, NY 11794, USA
- Center for Frontiers in Nuclear Science, NY 11794, USA
- Shandong University, Qingdao, Shandong 266237, China
| | - X Zheng
- University of Virginia, Charlottesville, VA 22904, USA
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19
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Wang D, Sun S, Xue Y, Qiu J, Ye T, Zhang R, Song B, He W, Zhang Y, Jiang W. MicroRNA-223 negatively regulates LPS-induced inflammatory responses by targeting NLRP3 in human dental pulp fibroblasts. Int Endod J 2020; 54:241-254. [PMID: 32966618 DOI: 10.1111/iej.13413] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [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: 05/12/2020] [Revised: 09/08/2020] [Accepted: 09/14/2020] [Indexed: 12/11/2022]
Abstract
AIM To investigate the effect of miR-223 on NLRP3, subsequently regulating the production of the NLRP3/CASP1 inflammasome pathway-mediated proinflammatory cytokines IL-1β and IL-18 in human dental pulp fibroblasts (HDPFs). METHODOLOGY Human dental pulp tissue (HDPT) and HDPFs were obtained from impacted third molars. The miR-223 mimics and inhibitor or NLRP3 plasmid were used to upregulate or downregulate miR-223 or NLRP3 in HDPFs, respectively. Computational prediction via TargetScan 5.1 and a luciferase reporter assay was conducted to confirm target association. The mRNA and protein expression of NLRP3, caspase-1, IL-1β and IL-18 was determined by qRT-PCR and Western blotting, respectively. The release of IL-1β and IL-18 was analysed by ELISA. The significance of the differences between the experimental and the control groups was determined using one-way analysis of variance; P < 0.05 indicated statistical significance. RESULTS A decrease in miR-223 and an increase in NLRP3 in HDPT occurred during the transformation of reversible pulpitis into irreversible pulpitis compared to that in healthy pulp tissue (P < 0.05). The computational prediction and luciferase reporter assay confirmed that NLRP3 was a direct target of miR-223 in HDPFs. The miR-223 inhibitor further promoted ATP plus LPS-induced NLRP3/CASP1 inflammasome pathway activation compared to the ATP plus LPS-induced group (P < 0.05). In contrast, the miR-223 mimic significantly inhibited the NLRP3/CASP1 inflammasome pathway activation induced by ATP plus LPS compared to the ATP plus LPS-induced group (P < 0.05). CONCLUSION MiR-223 served as a negative regulator involved in the control of the production and secretion of proinflammatory cytokines mediated by the NLRP3/CASP1 inflammasome pathway by targeting NLRP3. These data provide insight into the potential regulatory effects of miRNAs on the NLRP3 inflammasome, thus opening up novel potential therapeutic avenues for future endodontic treatment.
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Affiliation(s)
- D Wang
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China.,Department of Occupational and Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an, China
| | - S Sun
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Clinical Research Center for Oral Diseases, Department of Pediatric Dentistry, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Y Xue
- Department of Occupational and Environmental Health and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment, School of Public Health, Fourth Military Medical University, Xi'an, China
| | - J Qiu
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - T Ye
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - R Zhang
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China.,Department of Stomatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - B Song
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China.,School of Dentistry, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
| | - W He
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - Y Zhang
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China
| | - W Jiang
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, Department of Operative Dentistry & Endodontics, School of Stomatology, Fourth Military Medical University, Xi'an, China.,School of Dentistry, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK
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20
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Zhai QH, Ye T, Huang MX, Feng SL, Li H. Whale Optimization Algorithm for Multiconstraint Second-Order Stochastic Dominance Portfolio Optimization. Comput Intell Neurosci 2020; 2020:8834162. [PMID: 32908478 PMCID: PMC7474746 DOI: 10.1155/2020/8834162] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/25/2020] [Accepted: 07/31/2020] [Indexed: 11/18/2022]
Abstract
In the field of asset allocation, how to balance the returns of an investment portfolio and its fluctuations is the core issue. Capital asset pricing model, arbitrage pricing theory, and Fama-French three-factor model were used to quantify the price of individual stocks and portfolios. Based on the second-order stochastic dominance rule, the higher moments of return series, the Shannon entropy, and some other actual investment constraints, we construct a multiconstraint portfolio optimization model, aiming at comprehensively weighting the returns and risk of portfolios rather than blindly maximizing its returns. Furthermore, the whale optimization algorithm based on FTSE100 index data is used to optimize the above multiconstraint portfolio optimization model, which significantly improves the rate of return of the simple diversified buy-and-hold strategy or the FTSE100 index. Furthermore, extensive experiments validate the superiority of the whale optimization algorithm over the other four swarm intelligence optimization algorithms (gray wolf optimizer, fruit fly optimization algorithm, particle swarm optimization, and firefly algorithm) through various indicators of the results, especially under harsh constraints.
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Affiliation(s)
- Q. H. Zhai
- School of Sciences, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China
| | - T. Ye
- College of Management and Economy, Tianjin University, 92 Weijin Road Nankai District, Tianjin 300072, China
| | - M. X. Huang
- State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China
- School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China
| | - S. L. Feng
- School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China
| | - H. Li
- School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China
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21
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Zhang W, Zeng W, Liu Z, Dong X, Luo H, Zheng Z, He Z, Ye T, Lu H. 395 Burden of malignant skin melanoma in Worldwide, 1990-2017: An analysis of the Global Burden of Disease Study 2017. J Invest Dermatol 2020. [DOI: 10.1016/j.jid.2020.03.403] [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: 10/24/2022]
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22
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Xia X, Ye T. Abstract No. 538 Sublethal hyperthermia enhances the anticancer activity of doxorubicin against acute hypoxic HepG2 cells through ROS-dependent mechanisms. J Vasc Interv Radiol 2020. [DOI: 10.1016/j.jvir.2019.12.599] [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: 10/25/2022] Open
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23
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Li B, Hu H, Zhang Y, Zhang J, Miao L, Ma L, Luo X, Zhang Y, Ye T, Li H, Li Y, Shen L, Zhao K, Fan M, Zhu Z, Wang J, Xu J, Deng Y, Lu Q, Li H, Zhang Y, Pan Y, Liu S, Hu H, Shao L, Sun Y, Xiang J, Chen H. Three-field versus two-field lymphadenectomy in transthoracic oesophagectomy for oesophageal squamous cell carcinoma: short-term outcomes of a randomized clinical trial. Br J Surg 2020; 107:647-654. [PMID: 32108326 DOI: 10.1002/bjs.11497] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 10/10/2019] [Accepted: 12/10/2019] [Indexed: 11/10/2022]
Abstract
BACKGROUND The benefit and harm of three-field lymphadenectomy for oesophageal cancer are still unknown. The aim of this study was to compare overall survival and morbidity and mortality between three- and two-field lymphadenectomy in patients with oesophageal squamous cell carcinoma. METHODS Between March 2013 and November 2016, patients with squamous cell carcinoma of the middle or distal oesophagus were assigned randomly to open oesophagectomy with three-field (cervical-thoracic-abdominal) or two-field (thoracic-abdominal) lymphadenectomy. No chemo(radio) therapy was given before surgery. This paper reports on the secondary outcomes of the study: pathology and surgical complications. RESULTS Some 400 patients were randomized, 200 in each group. A median of 37 (i.q.r. 30-49) lymph nodes were dissected in the three-field group, compared with 24 (18-30) in the two-field group (P < 0·001). Some 43 of 200 patients (21·5 per cent) in the three-field group had cervical lymph node metastasis. More patients in the three-field group had pN3 disease: 21 of 200 (10·5 per cent) versus 10 of 200 (5·0 per cent) (P = 0·040). The rate and severity of postoperative complications were comparable between the two groups, except that six patients in the three-field arm needed reintubation compared with none in the two-field group (3·0 versus 0 per cent; P = 0·030). The 90-day mortality rate was 0 per cent in the three-field group and 0·5 per cent (1 patient) in the two-field group (P = 1·000). CONCLUSION Oesophagectomy with three-field lymphadenectomy increased the number of lymph nodes dissected and led to stage migration owing to a 21·5 per cent rate of cervical lymph node metastasis. Postoperative complications were largely comparable between two- and three-field lymphadenectomy. Registration number: NCT01807936 ( https://www.clinicaltrials.gov).
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Affiliation(s)
- B Li
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - H Hu
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Y Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - J Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - L Miao
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - L Ma
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - X Luo
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Y Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - T Ye
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - H Li
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Li
- Department of Pathology, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - L Shen
- Department of Pathology, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - K Zhao
- Department of Radiation Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - M Fan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Z Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - J Wang
- Department of Oncology, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - J Xu
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Pathology, Fudan University Shanghai Cancer Centre, Shanghai, China
| | - Y Deng
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Q Lu
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - H Li
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Y Zhang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Y Pan
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - S Liu
- Department of Thoracic Surgery, Henan Cancer Hospital, Zhengzhou, China
| | - H Hu
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - L Shao
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Y Sun
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - J Xiang
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - H Chen
- Department of Thoracic Surgery, Fudan University Shanghai Cancer Centre, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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24
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Ye T, Xia Y, Zong GJ. [A case of perforated esophageal ulcer after radiofrequency ablation of paroxysmal atrial fibrillation]. Zhonghua Xin Xue Guan Bing Za Zhi 2020; 48:72-73. [PMID: 32008299 DOI: 10.3760/cma.j.issn.0253-3758.2020.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- T Ye
- Department of Cardiovascular Medicine, 904 Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Wuxi 214000, China
| | - Y Xia
- Department of Cardiovascular Medicine, 904 Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Wuxi 214000, China
| | - G J Zong
- Department of Cardiovascular Medicine, 904 Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Wuxi 214000, China
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25
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Ye T, Zhang JY, Chen J. [Drug therapy of high grade osteosarcoma]. Zhonghua Yi Xue Za Zhi 2019; 99:2893-2896. [PMID: 31607016 DOI: 10.3760/cma.j.issn.0376-2491.2019.37.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- T Ye
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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26
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Ye T, Deng L, Wang S, Xiang J, Zhang Y, Hu H, Sun Y, Li Y, Shen L, Xie L, Gu W, Zhao Y, Fu F, Peng W, Chen H, Shen Y. P1.13-03 Lung Adenocarcinomas Manifesting as Radiological Part-Solid Nodules Define a Special Clinical Subtype. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.1140] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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27
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Ye T, Ma T, Wang Q, Zhang CM, Cao L, Xu BD, Zong GJ. [Prevalence and risk factors of aortic valve calcification among the elderly residents of Wuxi city, Jiangsu province]. Zhonghua Xin Xue Guan Bing Za Zhi 2019; 47:544-548. [PMID: 31365995 DOI: 10.3760/cma.j.issn.0253-3758.2019.07.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the prevalence and risk factors of aortic valve calcification among the elderly (≥65 years old) resident of Wuxi city, Jiangsu province. Methods: The household registration population aged ≥65 years old in Wuxi city was selected as the research subject by stratified sampling method from August 2017 to December 2018. Echocardiography was performed to assess the aortic valve calcification, and the participants were divided into calcification group and non-calcification group. Multivariate logistic regression analysis was used to explore the related risk factors of aortic valve calcification. Results: The age of the respondents was (73.6±7.1) years old, of which 48.8% (461 cases) were males.The prevalence rate of aortic valve calcification was 22.0% (208/944) in the elderly (≥ 65 years old) residents in Wuxi city. The prevalence rate in 65-69 years old, 70-74 years old, 75-79 years old, 80-84 years old and ≥85 years old was 16.7% (58/347),16.7% (41/245),16.2% (26/161),23.3% (24/103), and 67.0% (59/88),respectively. There were significant differences in age, weight, abdominal circumference, hip circumference, high-salt diets, exercise, hypertension, hyperlipidemia, diabetes, coronary heart disease, cerebrovascular disease, and carotid atherosclerosis between the non-calcified group (736 cases) and the calcified group (208 cases) (P<0.01 or 0.05).Multivariate logistic regression analysis showed that age (OR=1.077, 95%CI 1.053-1.101, P<0.001), diabetes mellitus (OR=1.697, 95%CI 1.174-2.453, P=0.005), and coronary heart disease (OR=1.964, 95%CI 1.378-2.799, P<0.001) were the risk factors of aortic valve calcification. Conclusions: The prevalence of aortic valve calcification in the elderly (≥65 years old) residents in Wuxi city of Jiangsu province increases with aging. Age, diabetes mellitus and coronary heart disease are the risk factors of aortic valve calcification in this population cohort.
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Affiliation(s)
- T Ye
- Department of Cardiology, 904 Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Wuxi 214000, China
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Billa PA, Faulconnier Y, Ye T, Chervet M, Le Provost F, Pires JAA, Leroux C. Deep RNA-Seq reveals miRNome differences in mammary tissue of lactating Holstein and Montbéliarde cows. BMC Genomics 2019; 20:621. [PMID: 31362707 PMCID: PMC6668132 DOI: 10.1186/s12864-019-5987-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 07/19/2019] [Indexed: 02/06/2023] Open
Abstract
Background Genetic polymorphisms are known to influence milk production and composition. However, the genomic mechanisms involved in the genetic regulation of milk component synthesis are not completely understood. MicroRNAs (miRNAs) regulate gene expression. Previous research suggests that the high developmental potential of the mammary gland may depend in part on a specific miRNA expression pattern. The objective of the present study was to compare the mammary gland miRNomes of two dairy cow breeds, Holstein and Montbéliarde, which have different mammogenic potentials that are related to differences in dairy performance. Results Milk, fat, protein, and lactose yields were lower in Montbéliarde cows than in Holstein cows. We detected 754 distinct miRNAs in the mammary glands of Holstein (n = 5) and Montbéliarde (n = 6) midlactating cows using RNA-Seq technology, among which 738 were known and 16 were predicted miRNAs. The 25 most abundant miRNAs accounted for 90.6% of the total reads. The comparison of their abundances in the mammary glands of Holstein versus Montbéliarde cows identified 22 differentially expressed miRNAs (Padj ≤ 0.05). Among them, 11 presented a fold change ≥2, and 2 (miR-100 and miR-146b) were highly expressed. Among the most abundant miRNAs, miR-186 is known to inhibit cell proliferation and epithelial-to-mesenchymal transition. Data mining showed that 17 differentially expressed miRNAs with more than 20 reads were involved in the regulation of mammary gland plasticity. Several of them may potentially target mRNAs involved in signaling pathways (such as mTOR) and lipid metabolism, thereby indicating that they could influence milk composition. Conclusion We found differences in the mammary gland miRNomes of two dairy cattle breeds. These differences suggest a potential role for miRNAs in mammary gland plasticity and milk component synthesis, both of which are related to milk production and composition. Further research is warranted on the genetic regulation of miRNAs and their role in milk synthesis. Electronic supplementary material The online version of this article (10.1186/s12864-019-5987-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- P A Billa
- Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne, VetAgro Sup, UMR Herbivores, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
| | - Y Faulconnier
- Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne, VetAgro Sup, UMR Herbivores, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
| | - T Ye
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Centre National de la Recherche Scientifique, UMR7104, Institut National de la Santé et de la Recherche Médicale, U964, Université de Strasbourg, 67404, Illkirch, France
| | - M Chervet
- Department of Food Science & Technology, University of California Davis, Davis, CA, USA
| | - F Le Provost
- GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, F-78352, France
| | - J A A Pires
- Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne, VetAgro Sup, UMR Herbivores, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France
| | - C Leroux
- Institut National de la Recherche Agronomique (INRA), Université Clermont Auvergne, VetAgro Sup, UMR Herbivores, UMR1213 Herbivores, F-63122, Saint-Genès-Champanelle, France. .,Department of Food Science & Technology, University of California Davis, Davis, CA, USA.
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Zhang H, Demirer GS, Zhang H, Ye T, Goh NS, Aditham AJ, Cunningham FJ, Fan C, Landry MP. DNA nanostructures coordinate gene silencing in mature plants. Proc Natl Acad Sci U S A 2019; 116:7543-7548. [PMID: 30910954 PMCID: PMC6462094 DOI: 10.1073/pnas.1818290116] [Citation(s) in RCA: 122] [Impact Index Per Article: 24.4] [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] [Indexed: 12/12/2022] Open
Abstract
Delivery of biomolecules to plants relies on Agrobacterium infection or biolistic particle delivery, the former of which is amenable only to DNA delivery. The difficulty in delivering functional biomolecules such as RNA to plant cells is due to the plant cell wall, which is absent in mammalian cells and poses the dominant physical barrier to biomolecule delivery in plants. DNA nanostructure-mediated biomolecule delivery is an effective strategy to deliver cargoes across the lipid bilayer of mammalian cells; however, nanoparticle-mediated delivery without external mechanical aid remains unexplored for biomolecule delivery across the cell wall in plants. Herein, we report a systematic assessment of different DNA nanostructures for their ability to internalize into cells of mature plants, deliver siRNAs, and effectively silence a constitutively expressed gene in Nicotiana benthamiana leaves. We show that nanostructure internalization into plant cells and corresponding gene silencing efficiency depends on the DNA nanostructure size, shape, compactness, stiffness, and location of the siRNA attachment locus on the nanostructure. We further confirm that the internalization efficiency of DNA nanostructures correlates with their respective gene silencing efficiencies but that the endogenous gene silencing pathway depends on the siRNA attachment locus. Our work establishes the feasibility of biomolecule delivery to plants with DNA nanostructures and both details the design parameters of importance for plant cell internalization and also assesses the impact of DNA nanostructure geometry for gene silencing mechanisms.
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Affiliation(s)
- Huan Zhang
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Gozde S Demirer
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Honglu Zhang
- Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720
| | - Tianzheng Ye
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Natalie S Goh
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Abhishek J Aditham
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Francis J Cunningham
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720
| | - Chunhai Fan
- Division of Physical Biology & Bioimaging Center, Shanghai Synchrotron Radiation Facility, Chinese Academy of Sciences Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Markita P Landry
- Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720;
- Innovative Genomics Institute, Berkeley, CA 94720
- California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, CA 94720
- Chan-Zuckerberg Biohub, San Francisco, CA 94158
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30
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Du C, Deng T, Zhou Y, Ye T, Zhou Z, Zhang S, Shao B, Wei P, Sun H, Khan FA, Yang L, Hua G. Systematic analyses for candidate genes of milk production traits in water buffalo (Bubalus Bubalis). Anim Genet 2019; 50:207-216. [PMID: 30937948 DOI: 10.1111/age.12739] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2018] [Indexed: 11/28/2022]
Abstract
Water buffalo (Bubalus bubalis) is of great economic importance as a provider of milk and meat in many countries. However, the milk yield of buffalo is much lower than that of Holstein cows. Selection of candidate genes related to milk production traits can be applied to improve buffalo milk performance. A systematic review of studies of these candidate genes will be greatly beneficial for researchers to timely and efficiently understand the research development of molecular markers for buffalo milk production traits. Here, we identified and classified the candidate genes associated with buffalo milk production traits. A total of 517 candidate genes have been identified as being associated with milk performance in different buffalo breeds. Nineteen candidate genes containing 47 mutation sites have been identified using the candidate gene approach. In addition, 499 candidate genes have been identified in six genome-wide association studies (GWASes) including two studies performed with the bovine SNP chip and four studies with the buffalo SNP chip. Genes CTNND2 (catenin delta 2), APOB (apolipoprotein B), FHIT (fragile histidine triad) and ESRRG (estrogen related receptor gamma) were identified in at least two GWASes. These four genes, especially APOB, deserve further study to explore regulatory roles in buffalo milk production. With growth in the number of buffalo genomic studies, more candidate genes associated with buffalo milk production traits will be identified. Therefore, future studies, such as those investigating gene location and functional analyses, are necessary to facilitate the exploitation of genetic potential and the improvement of buffalo milk performance.
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Affiliation(s)
- C Du
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - T Deng
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.,Guangxi Provincial Key Laboratory of Buffalo Genetics, Breeding and Reproduction Technology, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, 530001, China
| | - Y Zhou
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - T Ye
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - Z Zhou
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - S Zhang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - B Shao
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - P Wei
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - H Sun
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China
| | - F A Khan
- The Center for Biomedical Research, Key Laboratory of Organ Transplantation, Ministry of Education, Ministry of Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430070, China
| | - L Yang
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, 430070, China
| | - G Hua
- Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Wuhan, 430070, China.,College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.,Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan, 430070, China
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31
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Zheng GH, Liao FR, Ye T, Zhang WZ, Ming YL. First Report of Hibiscus Chlorotic Ringspot Virus Infecting Hibiscus in Fujian Province, China. Plant Dis 2018; 102:PDIS01180117PDN. [PMID: 30102110 DOI: 10.1094/pdis-01-18-0117-pdn] [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: 06/08/2023]
Affiliation(s)
- G H Zheng
- Xiamen Overseas Chinese Subtropical Plant Introduction Garden, National Plant Introduction Quarantine Base, Key Laboratory of Xiamen City for Plant Introduction/Quarantine and Plant Product, Xiamen 361002, China
| | - F R Liao
- Inspection and Quarantine Technology Center, Xiamen Entry-Exit Inspection and Quarantine Bureau, Xiamen, 361026, China
| | - T Ye
- Fujian Institute of Subtropical Botany, Xiamen, 361006, China
| | - W Z Zhang
- Xiamen Overseas Chinese Subtropical Plant Introduction Garden, National Plant Introduction Quarantine Base, Key Laboratory of Xiamen City for Plant Introduction/Quarantine and Plant Product, Xiamen 361002, China
| | - Y L Ming
- Xiamen Overseas Chinese Subtropical Plant Introduction Garden, National Plant Introduction Quarantine Base, Key Laboratory of Xiamen City for Plant Introduction/Quarantine and Plant Product, Xiamen 361002, China
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Abstract
An open question in single molecule nanoarrays is how the chemical and morphological heterogeneities of the solid support affect the properties of biomacromolecules. We generated arrays that allowed individually-resolvable DNA molecules to interact with tailored surface heterogeneities and revealed how molecular conformations are impacted by surface interactions.
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Affiliation(s)
- X Hao
- Chemistry and Chemical Biology, University of California, Merced, California 95343, USA.
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Qi HJ, Yang WW, Zhang LD, Shi XJ, Li QY, Ye T. Peripherally inserted central catheters for calcium requirements after successful parathyroidectomy: a comparison with centrally inserted catheters. Ann R Coll Surg Engl 2017; 99:358-362. [PMID: 28462656 PMCID: PMC5449693 DOI: 10.1308/rcsann.2017.0004] [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] [Accepted: 12/02/2016] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Intravenous calcium supplements are often required following parathyroidectomy to avoid postoperative hypocalcaemia. The aim of this study was to compare application effect of a femoral central venous catheter (CVC) and peripherally inserted central catheter (PICC) on intravenous calcium supplements after parathyroidectomy. METHODS We retrospectively reviewed the hospital records of 73 patients with secondary hyperparathyroidism who underwent a successful parathyroidectomy at the Huashan Hospital attached to Fudan University between 1 April 2011 and 1 February 2016. RESULTS Of the 73 study participants, 39 (53.4%) had a PICC and 34 (46.6%) had a CVC, respectively. Patients in the CVC group needed 6-7 days of intravenous calcium supplements, while patients in PICC group needed only 2-3 days to achieve normal serum calcium concentration (2.2-2.6 mmol/L). Furthermore, the duration of calcium supplementation was 71.62 ± 4.48 hours in PICC group and 100.4 ± 5.43 hours in CVC group (P < 0.05). Of the patients in PICC group, the incidence of catheter occlusion, operation failure and hypocalcaemia was 0%, which was significantly lower than those in CVC group (2.56%, 7.69% and 7.69%, respectively). CONCLUSIONS PICC is a safe and efficient alternative in contrast to CVC for providing venous access for calcium supplementation in surgical patients after parathyroidectomy.
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Affiliation(s)
- H J Qi
- Clinical Pharmacy Laboratory, Huashan Hospital North, Fudan University , Shanghai , China
| | - W W Yang
- General Surgery Unit, Huashan Hospital, Fudan University , Shanghai , China
| | - L D Zhang
- Clinical Pharmacy Laboratory, Huashan Hospital North, Fudan University , Shanghai , China
| | - X J Shi
- Clinical Pharmacy Laboratory, Huashan Hospital North, Fudan University , Shanghai , China
| | - Q Y Li
- Clinical Pharmacy Laboratory, Huashan Hospital North, Fudan University , Shanghai , China
| | - T Ye
- Clinical Pharmacy Laboratory, Huashan Hospital North, Fudan University , Shanghai , China
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Zheng J, Ye T, Shao Y, Yu B, Dou X. Multiple papules in a Chinese man. Clin Exp Dermatol 2016; 42:118-120. [PMID: 27935624 DOI: 10.1111/ced.12998] [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] [Accepted: 03/06/2016] [Indexed: 11/30/2022]
Affiliation(s)
- J Zheng
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, China
| | - T Ye
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, China
| | - Y Shao
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, China
| | - B Yu
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, China
| | - X Dou
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, China
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Wang HP, Wang X, Gong LF, Chen WJ, Hao Z, Feng SW, Wu YB, Ye T, Cai YK. Nox1 promotes colon cancer cell metastasis via activation of the ADAM17 pathway. Eur Rev Med Pharmacol Sci 2016; 20:4474-4481. [PMID: 27874952] [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: 06/06/2023]
Abstract
OBJECTIVE Reactive oxygen species (ROS) generated by endogenous metabolic enzymes are involved in a variety of pathology processes, including cancer. In particular, superoxide-generating NADPH oxidase 1 (Nox1), a member of Nox enzyme family, is highly expressed in the colon tissue and has been implicated in physiological and pathophysiological states of colon cancer. However, the underlying molecular mechanism of Nox1 in the regulation of colon cancer progression remains largely unknown. MATERIALS AND METHODS In vitro scratch wound healing and invasion assays were used to compare the migration and invasion abilities of HT29 cells in which Nox1 protein levels were manipulated. Western blot assay was performed to detect the expression of key proteins of the EGFR-PI3K-AKT signaling pathway. Immunoprecipitation assay was performed to detect the interaction between Nox1 and ADAM17. RESULTS Nox1 overexpression promoted colon cancer cell growth, migration, and invasion through the EGFR-PI3K-AKT signaling pathway. At the molecular level, Nox1 regulated the expression of tumor necrosis factor-α (TNF-α) converting enzyme (TACE)/a disintegrin and metalloprotease domain 17 (ADAM17). Furthermore, Nox1 interacted with and stabilized ADAM17 from ubiquitin-mediated degradation, leading to the activation of the ADAM17 signaling pathway. CONCLUSIONS This study suggests that Nox1 promotes colorectal cancer metastasis by modulating the stability of ADAM17.
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Affiliation(s)
- H-P Wang
- Department of General Surgery, Shanghai Fifth People Hospital Affiliated to Fudan University, Shanghai, China.
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Wu Y, Shang P, Che L, Ye T, Wang L, Qiu S. The necessity of strength evaluation in assessment of clinical outcome after shoulder surgery : follow-up data from patients with complex proximal humerus fractures treated by locking plate fixation. Acta Orthop Belg 2016; 82:189-196. [PMID: 27682279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In order to minimize the bias of Constant score we modified the allocation of strength subscore. One hundred and two patients with 3- and 4-part proximal humerus fractures were treated using locking plate fixation and followed up for > 1 year. The clinical outcomes were assessed by DASH score abbreviated Constant score (AbbCS strength item excluded) modified Constant score (ModCS with 12-pound strength) and original Constant score (CS with 25-pound strength). The satisfaction rate was determined for each scoring instrument. Compared to CS the satisfaction rate was significantly higher in DASH score AbbCS and ModCS (all p < 0.001) but the latter 3 groups did not show significant difference. ROC analysis showed that a > 7-pound shoulder strength was present in patients with satisfied outcome assessed by DASH score. In conclusion strength evaluation is necessary for the assessment of shoulder function but the over-allocated strength should be modified in Constant score.
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Affiliation(s)
- W Zhong
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China
- Shantou University Medical College, Shantou, Guangdong, 515041, China
| | - Y Shao
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China
| | - T Ye
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China
| | - J Li
- Department of Pathology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China
| | - B Yu
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China
| | - X Dou
- Department of Dermatology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, 518036, China
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Abstract
Radiotherapy is one of the most important treatments for esophageal cancer, but radioresistance remains a major challenge. Previous studies have shown that microRNAs (miRNAs or miRs) are involved in human cancers. miR-124 has been widely reported in various cancers and it is intimately involved in proliferation, cell cycle regulation, apoptosis, migration, and invasion of cancer cells. The aim of this study was to explore the relationship between the miR-124/cyclin-dependent kinase 4 (CDK4) axis and the radiosensitivity of esophageal cancer cells. In this study, we identified the reduced expression of miR-124 in 18 paired esophageal cancer tissues compared to their matched normal tissues. In order to investigate the physiological role of miR-124 in esophageal cancer, the cell counting kit-8 (CCK-8) assay and wound healing assay were performed, and the results suggest that miR-124 overexpression decreases tumor growth and aggression. Next, we detected the effects of ectopic miR-124 expression on the apoptosis of an esophageal cancer cell line (TE-1) following radiotherapy. Using the CCK-8 assay and Hoechst 332528 stain, we found that ectopic expression of miR-124 led to a higher percentage of apoptotic cells. Finally, we identified that CDK4 is a direct target of miR-124 in TE-1 cells using target prediction algorithms and a luciferase reporter assay. Moreover, western blot assay confirmed that CDK4 was downregulated during miR-124 transfection. Taken together, we illustrate that the miR-124/CDK4 axis plays an important role in radiation sensitivity of human esophageal cancer cells by targeting CDK4.
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Affiliation(s)
- Y H Zhang
- Bengbu Medical School, Bengbu, China.,Department of Radiotherapy, Taixing People's Hospital, Taixing, China
| | - Q Q Wang
- Bengbu Medical School, Bengbu, China.,Department of Radiotherapy, Taixing People's Hospital, Taixing, China
| | - H Li
- Department of Clinical Laboratory, Taixing People's Hospital, Taixing, China
| | - T Ye
- Department of Clinical Laboratory, Taixing People's Hospital, Taixing, China
| | - F Gao
- Department of Radiotherapy, Taixing People's Hospital, Taixing, China
| | - Y C Liu
- Department of Radiotherapy, Taixing People's Hospital, Taixing, China
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39
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Ling QY, Liu J, Xu BD, Wu T, Ye T, Zong GJ. [Upregulated Notch1 expression promotes bone morphogenetic protein-2/4 expression of calcified human heart valve interstitial cells]. Zhonghua Xin Xue Guan Bing Za Zhi 2016; 44:255-9. [PMID: 26988682 DOI: 10.3760/cma.j.issn.0253-3758.2016.03.013] [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: 11/05/2022]
Abstract
OBJECTIVE To observe the protein expression of Notch1 in the cultured calcified human heart valve interstitial cells (hVICs) in vitro and related mechanisms. METHODS hVICs were divided into two groups: control hVICs were cultured in conventional media for 14 days and calcified hVICs were cultured with calcification inducers: β-glycerophosphate (500 μl), ascorbic acid (200 μl), dexamethasone(100 μl) for 7 days. The calcified hVICs were further divided into calcified hVICs group and inhibited calcified hVICs by adding specific Notch1 inhibitor DAPT (50 μmol/L(4 μl/hole))groups and cultured for another 7 days. Inflammatory response of all groups were induced by lipopolysaccharide (LPS) for 8 to 12 hours. Western blot was used to detect the protein expression of Notch1, phosphorylation nuclear transcription factor κB (p-NF-κB), bone morphogenetic protein-2/4(BMP-2/4). ELISA was applied to detect the content of BMP-2 secretion of the groups. Von Kossa staining was used to observe of cellular calcification. RESULTS (1)Von Kossa staining is positive in the induced calcification group, the expression of Notch1, p-NF-κB, BMP-2 and BMP-4 is significantly higher in the induced calcification group than in the control group (all P<0.05). The expression of BMP-2 is significantly higher in the induced calcification group than in control group ((88.23±3.28) pg/ml vs. (25.41±3.68) pg/ml, P=0.02). (2) After treatment with DAPT, the calcification and the expression of Notch1, p-NF-κB, BMP-2 and BMP-4 were significantly decreased compared to calcification group (all P<0.05). The expression of BMP-2 is (26.74±4.62) pg/ml in the calcification inhibition group and (80.41±2.96) pg/ml in calcified control group (P=0.02). CONCLUSIONS Upregulated Notch 1 expression promotes BMP-2/4 secretion in LPS stimulated hVICs, and contributes to osteogenic changes in hVICs. Inhibiting Notch1 can decrease the BMP-2/4 secretion and calcification in hVICs, which may serve as a novel therapeutic option for treating calcific valve disease.
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Affiliation(s)
- Q Y Ling
- Department of Cardiology, 101 Hospital of People's Liberation Army, Wuxi 214044, China
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Wang Q, Ye T, Chen HL, Zhang XG, Zhang LZ. Correlation between intensity modulated radiotherapy and bone marrow suppression in breast cancer. Eur Rev Med Pharmacol Sci 2016; 20:75-81. [PMID: 26813456] [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: 06/05/2023]
Abstract
OBJECTIVE To study the correlation factors of bone marrow suppression in breast cancer radiotherapy and find out the method to guide the target area, dose limitation for breast cancer to reduce the risk of bone marrow suppression. PATIENTS AND METHODS 72 cases of breast cancer patients were collected through retrospective, clinical control study. For patients with Grade 0-3, bone marrow suppression in the course of radiotherapy, the dose-volume parameters (V5, V10, V20, V30, V50, D20, D40, D60, D80, D100, Min, Max, Dmean) of the chest and rib of each patient were collected and analyzed from multiple points including tumor stage, age, lesion location, surgical approach, chemotherapy regimen and the number of cycles, bone dose-volume parameters. RESULTS The relative parameters of the rib in the middle and severe bone marrow suppression group were significantly higher than those in the mild bone marrow depression group and the p values of V5, V10, V20, V30, Dmean, D40, D60, D80, D100 were less than 0.05. The difference of V50 in the two groups was statistically significant (p <0.05). For chemotherapy regimens containing doxorubicin, epirubicin, cyclophosphamide, the differences between bone marrow suppression group and non-bone marrow suppression were statistically significant (p =0.002). CONCLUSIONS The dose-volume parameters of the rib radiation is one of the main factors causing the suppression of bone marrow in radiotherapy, and the volume of the 50Gy irradiation is also a contribution to the bone marrow. For patients accepted chemotherapy with doxorubicin, epirubicin, cyclophosphamide before radiotherapy, bone marrow suppression is more likely to occur during radiotherapy. After radical mastectomy or the volume of thoracic rib is increased because of the small breast, the occurrence of bone marrow suppression is increased. The effects of radiation on the bone marrow suppression were small, while its effect on the ribs was more evident, especially on the ribs V20 and Dmean and the difference was statically significant.
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Affiliation(s)
- Q Wang
- Department of Radiotherapy, Xuzhou Cancer Hospital, Xuzhou, Jiangsu, China.
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Ohi K, Ursini G, Li M, Shin JH, Ye T, Chen Q, Tao R, Kleinman JE, Hyde TM, Hashimoto R, Weinberger DR. DEGS2 polymorphism associated with cognition in schizophrenia is associated with gene expression in brain. Transl Psychiatry 2015; 5:e550. [PMID: 25871975 PMCID: PMC4462608 DOI: 10.1038/tp.2015.45] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 01/27/2015] [Accepted: 01/28/2015] [Indexed: 02/07/2023] Open
Abstract
A genome-wide association study of cognitive deficits in patients with schizophrenia in Japan found association with a missense genetic variant (rs7157599, Asn8Ser) in the delta(4)-desaturase, sphingolipid 2 (DEGS2) gene. A replication analysis using Caucasian samples showed a directionally consistent trend for cognitive association of a proxy single-nucleotide polymorphism (SNP), rs3783332. Although the DEGS2 gene is expressed in human brain, it is unknown how DEGS2 expression varies during human life and whether it is affected by psychiatric disorders and genetic variants. To address these questions, we examined DEGS2 messenger RNA using next-generation sequencing in postmortem dorsolateral prefrontal cortical tissue from a total of 418 Caucasian samples including patients with schizophrenia, bipolar disorder and major depressive disorder. DEGS2 is expressed at very low levels prenatally and increases gradually from birth to adolescence and consistently expressed across adulthood. Rs3783332 genotype was significantly associated with the expression across all subjects (F3,348=10.79, P=1.12 × 10(-)(3)), particularly in control subjects (F1,87=13.14, P=4.86 × 10(-4)). Similar results were found with rs715799 genotype. The carriers of the risk-associated minor allele at both loci showed significantly lower expression compared with subjects homozygous for the non-risk major allele and this was a consistent finding across all diagnostic groups. DEGS2 expression showed no association with diagnostic status after correcting for multiple testing (P>0.05). Our findings demonstrate that a SNP showing genome-wide association study significant association with cognition in schizophrenia is also associated with regulation of DEGS2 expression, implicating a molecular mechanism for the clinical association.
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Affiliation(s)
- K Ohi
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - G Ursini
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - M Li
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - J H Shin
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - T Ye
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - Q Chen
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - R Tao
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - J E Kleinman
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA
| | - T M Hyde
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA,Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - R Hashimoto
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan,Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan
| | - D R Weinberger
- Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, Baltimore, MD, USA,Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA,Department of Clinical Genetics, Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 North Wolfe Street, Baltimore, MD, USA. E-mail:
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Chinese Society of Cardiology of Chinese Med, Yong H, Ya-Ling H, Run-Lin G, Da-Yi H, Yun Z, Jun-Bo G, Yong-Qiang Z, Xu-Bo S, Yi-Da T, Zhen-Yu L, Jing-Bo H, Feng B, Ji-Yan C, Shao-Liang C, Yun-Dai C, Hong-Liang C, Zhi-Min D, Wei-Yi F, Guo-Sheng F, Xiang-Hua F, Chuan-Yu G, Run-Lin G, Wei G, Jun-Bo G, Lei G, Li-Jun G, Ya-Ling H, Ben H, Jing-Bo H, Da-Yi H, Yong H, Fu-Sui J, Da-Lin J, Guo-Liang J, Shao-Bin J, Xue-Jun J, Quan-Min J, Bao L, Chun-Jian L, Guo-Qing L, Hong-Wei L, Jian-Ping L, Lang L, Xiao-Ying L, Xiao-Dong L, Yi L, Yong-Jun L, Chun L, Bin L, Jun-Ming L, Qi-Ming L, Zhen-Yu L, Shu-Zheng L, Gen-Shan M, Li-Kun M, Yi-Tong M, Shao-Ping N, Jian-Jun P, Shu-Bin Q, Chun-Guang Q, Wei-Feng S, Zhu-Jun S, Xu-Bo S, Fu-Cheng S, Yi-Hong S, Yi-Da T, Ye T, Chun-Xue W, Hai-Chang W, Jian-An W, Le-Feng W, Wei-Min W, Chang-Qian W, Meng W, Shang-Yu W, Yong-Jian W, Ya-Wei X, Hong-Bing Y, Li-Xia Y, Tian-He Y, Yue-Jin Y, Bo Y, Jin-Qing Y, Zu-Yi Y, Qi Z, Rui-Yan Z, Shu-Yang Z, Yun Z, Zheng Z, Xue-Zhong Z, Yong-Qiang Z, Xu-Chen Z, Yu-Jie Z, Jian-Hua Z, Jun Z. Chinese experts recommendation on the monitoring and management of variability in responsiveness to antiplatelet therapy. Eur Heart J Suppl 2015. [DOI: 10.1093/eurheartj/suv025] [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: 11/12/2022]
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Chen H, Chen S, Li Y, Ye T, Hao L, Fan Z, Guo L, Zhou T. Phylogenetic analysis and recombination events in full genome sequences of apple stem grooving virus. Acta Virol 2015; 58:309-16. [PMID: 25518711 DOI: 10.4149/av_2014_04_309] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Apple stem grooving virus (ASGV) is one of the most important viral pathogens infecting pome and stone fruit trees worldwide. In this study, with the complete nucleotide sequence of isolate ASGV-T47, which we generated, molecular variation and recombination in ASGV full genomic sequences worldwide were analyzed. ASGV-T47 shared 79.7-97.6% nucleotide identity with the other isolates worldwide and had the highest identity with an isolate from Japan. Phylogenetic analysis based on whole genome clustered all 16 isolates from around the world into two groups with no correlation to host or geographical origin. Four isolates were detected to be recombinants. Selection pressure estimation indicated that the two codons at positions 1756 and 1798 are under positive selection, while purifying selection is the primary evolutionary dynamics for ASGV.
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Kaalund SS, Newburn EN, Ye T, Tao R, Li C, Deep-Soboslay A, Herman MM, Hyde TM, Weinberger DR, Lipska BK, Kleinman JE. Contrasting changes in DRD1 and DRD2 splice variant expression in schizophrenia and affective disorders, and associations with SNPs in postmortem brain. Mol Psychiatry 2014; 19:1258-66. [PMID: 24322206 DOI: 10.1038/mp.2013.165] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2013] [Revised: 10/04/2013] [Accepted: 10/17/2013] [Indexed: 12/29/2022]
Abstract
Dopamine 2 receptor (DRD2) is of major interest to the pathophysiology of schizophrenia (SCZ) both as a target for antipsychotic drug action as well as a SCZ-associated risk gene. The dopamine 1 receptor (DRD1) is thought to mediate some of the cognitive deficits in SCZ, including impairment of working memory that relies on normal dorsolateral prefrontal cortex (DLPFC) function. To better understand the association of dopamine receptors with SCZ, we studied the expression of three DRD2 splice variants and the DRD1 transcript in DLPFC, hippocampus and caudate nucleus in a large cohort of subjects (~700), including patients with SCZ, affective disorders and nonpsychiatric controls (from 14th gestational week to 85 years of age), and examined genotype-expression associations of 278 single-nucleotide polymorphisms (SNPs) located in or near DRD2 and DRD1 genes. Expression of D2S mRNA and D2S/D2-long (D2L) ratio were significantly increased in DLPFC of patients with SCZ relative to controls (P<0.0001 and P<0.0001, respectively), whereas D2L, D2Longer and DRD1 were decreased (P<0.0001). Patients with affective disorders showed an opposite pattern: reduced expression of D2S (major depressive disorder, P<0.0001) and increased expression of D2L and DRD1 (bipolar disorder, P<0.0001). Moreover, SCZ-associated risk alleles at rs1079727, rs1076560 and rs2283265 predicted increased D2S/D2L expression ratio (P<0.05) in control individuals. Our data suggest that altered splicing of DRD2 and expression of DRD1 may constitute a pathophysiological mechanism in risk for SCZ and affective disorders. The association between SCZ risk-associated polymorphism and the ratio of D2S/D2L is consistent with this possibility.
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Affiliation(s)
- S S Kaalund
- 1] Human Brain Collection Core, IRP, National Institute of Mental Health, Bethesda, MD, USA [2] Research Laboratory for Stereology and Neuroscience, Bispebjerg University Hospital, Copenhagen NV, Denmark [3] Faculty of Health Sciences, Protein Laboratory, Institute of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - E N Newburn
- Human Brain Collection Core, IRP, National Institute of Mental Health, Bethesda, MD, USA
| | - T Ye
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - R Tao
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - C Li
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | | | - M M Herman
- Human Brain Collection Core, IRP, National Institute of Mental Health, Bethesda, MD, USA
| | - T M Hyde
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - D R Weinberger
- Lieber Institute for Brain Development, Baltimore, MD, USA
| | - B K Lipska
- Human Brain Collection Core, IRP, National Institute of Mental Health, Bethesda, MD, USA
| | - J E Kleinman
- Lieber Institute for Brain Development, Baltimore, MD, USA
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Chen ZY, Gao C, Ye T, Zuo XZ, Wang GH, Xu XS, Yao Y. Association between nutritional risk and routine clinical laboratory measurements and adverse outcomes: a prospective study in hospitalized patients of Wuhan Tongji Hospital. Eur J Clin Nutr 2014; 69:552-7. [PMID: 25369828 PMCID: PMC4424800 DOI: 10.1038/ejcn.2014.239] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [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: 04/12/2014] [Revised: 07/22/2014] [Accepted: 09/27/2014] [Indexed: 01/10/2023]
Abstract
Background/Objectives: Nutritional risk screening (NRS-2002) and routine clinical laboratory measurements (RCLMs) had been shown to have a predictive value in adverse outcomes in some studies, respectively. This study analyzed the association between NRS-2002 and RCLMs and estimated their prospective value in predicting adverse outcomes. Subjects/Methods: A total of 916 hospitalized patients were screened on admission with NRS-2002 and Subjective Global Assessment; RCLMs, which include blood test, kidney and liver function and electrolytes, were recorded. Diagnosis, nutritional support, surgery, radiotherapy, chemotherapy, complications, mortality and hospital stay during hospitalization were collected. The X2-test, odds ratios with 95% confidence intervals, kappa (k) statistic and regression analyses were conducted. Results: An overall 48.1% of the 916 patients were at nutritional risk on admission. Comparing ‘at risk' with ‘no risk', a significantly higher incidence of abnormality was found not only in nutritional markers but also in other parameters of RCLMs (OR ranged from 1.5 to 3.5). Regression analyses showed that ‘at risk' determined at admission was not a significant predictor of adverse outcomes after adjusting for other confounding factors, although it was a strong predictor in univariate analysis, whereas hypoalbuminemia, low total lymphocyte count, abnormality of hepatic and renal function were predictors after adjusting for confounders. Conclusions: The findings suggest that NRS-2002 might be a global index of ‘sickness' rather than be only a nutritional screening tool. It being rated once at admission is insufficient and should be repeated for using it as a predictor, whereas RCLMs routinely measured at admission may be able to be used to predict adverse outcomes.
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Affiliation(s)
- Z Y Chen
- Department of Clinical Nutrition, Tongji Hospital, Tongji Medical College, Huazhong University Science and Technology, Wuhan, China
| | - C Gao
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University Science and Technology, Wuhan, China
| | - T Ye
- Department of Clinical Nutrition, Tongji Hospital, Tongji Medical College, Huazhong University Science and Technology, Wuhan, China
| | - X Z Zuo
- Department of Clinical Nutrition, Tongji Hospital, Tongji Medical College, Huazhong University Science and Technology, Wuhan, China
| | - G H Wang
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University Science and Technology, Wuhan, China
| | - X S Xu
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University Science and Technology, Wuhan, China
| | - Y Yao
- Department of Clinical Nutrition, Tongji Hospital, Tongji Medical College, Huazhong University Science and Technology, Wuhan, China
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Jiang T, Qin Y, Ye T, Wang Y, Pan J, Zhu Y, Duan L, Li K, Teng X. Correlation analysis of the progesterone-induced sperm acrosome reaction rate and the fertilisation rate in vitro. Andrologia 2014; 47:945-50. [PMID: 25310969 DOI: 10.1111/and.12361] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/15/2014] [Indexed: 11/30/2022] Open
Abstract
In this study, we aimed to investigate whether progesterone-induced acrosome reaction (AR) rate could be an indicator for fertilisation rate in vitro. Twenty-six couples with unexplained infertility and undergoing in vitro fertilisation (IVF) treatment were involved. On the oocytes retrieval day after routine IVF, residual sperm samples were collected to receive progesterone induction (progesterone group) or not (control group). AR rate was calculated and fertilisation rate was recorded. The correlation between progesterone-induced AR and fertilisation rate and between sperm normal morphology and 3PN (tripronuclear) were analysed using the Spearman correlation analysis. The AR rate of progesterone group was statistically higher than that of the control group (15.6 ± 5.88% versus 9.66 ± 5.771%, P < 0.05), but not significantly correlated with fertilisation rate (r = -0.053, P > 0.01) or rate of high-quality embryo development (r = -0.055, P > 0.01). Normal sperm morphology also showed no significant correlation with the amount of 3PN zygotes (r = 0.029, P > 0.01), rate of 3PN zygotes production (r = 0.20, P > 0.01), rate of 3PN embryo development (r = -0.406, P > 0.01), fertilisation rate (r = -0.148, P > 0.01) or progesterone-induced AR rate (r = 0.214, P > 0.01). Progesterone can induce AR in vitro significantly; however, the progesterone-induced AR may not be used to indicate fertilisation rate.
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Affiliation(s)
- T Jiang
- Center of Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Y Qin
- Department of Gynaecology and Obstetrics, Ninth People's Hospital of Wuxi City, Wuxi, Jiangsu Province, China
| | - T Ye
- Department of Obstetrics and Gynaecology, University of Hong Kong, Hong Kong, China
| | - Y Wang
- Center of Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - J Pan
- Center of Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Y Zhu
- Department of Gynaecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - L Duan
- Center of Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - K Li
- Center of Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - X Teng
- Center of Reproductive Medicine, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
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Ma X, Wang R, Pan Y, Hu H, Li H, Wang L, Li Y, Luo X, Zhang Y, Ye T, Zhang Y, Li B, Cai D, Sun Z, Sun Y, Chen H. P-150 * RECURRENT TELOMERASE REVERSE TRANSCRIPTASE PROMOTER MUTATIONS IN NON-SMALL-CELL LUNG CANCERS. Interact Cardiovasc Thorac Surg 2014. [DOI: 10.1093/icvts/ivu167.150] [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: 11/13/2022] Open
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Zhang Y, Hu H, Wang R, Ye T, Pan Y, Wang L, Zhang Y, Li H, Li Y, Shen L, Yu Y, Sun Y, Chen H. F-074 * SYNCHRONOUS NON-SMALL-CELL LUNG CANCERS: DIAGNOSTIC YIELD CAN BE IMPROVED BY HISTOLOGIC AND GENETIC METHODS. Interact Cardiovasc Thorac Surg 2014. [DOI: 10.1093/icvts/ivu167.74] [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: 11/15/2022] Open
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Luo X, Liu Y, Wang R, Hu H, Pan Y, Wang L, Ye T, Zhang Y, Li H, Sun Z, Cai D, Sun Y, Zeng R, Chen H. P-137 * HIGH-QUALITY SECRETOME OF A549 CELLS AIDED THE DISCOVERY OF C4B-BINDING PROTEIN AS A NOVEL SERUM BIOMARKER FOR NON-SMALL-CELL LUNG CANCER. Interact Cardiovasc Thorac Surg 2014. [DOI: 10.1093/icvts/ivu167.137] [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: 11/13/2022] Open
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Zhang Y, Pan Y, Li Y, Hu H, Wang L, Li H, Wang R, Ye T, Luo X, Zhang Y, Li B, Cai D, Shen L, Chen H. P-155 * ALK, ROS1 AND RET FUSIONS IN 1139 LUNG ADENOCARCINOMAS: A COMPREHENSIVE STUDY OF COMMON AND FUSION PATTERN-SPECIFIC CLINICOPATHOLOGIC, HISTOLOGIC AND CYTOLOGIC FEATURES. Interact Cardiovasc Thorac Surg 2014. [DOI: 10.1093/icvts/ivu167.155] [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: 11/13/2022] Open
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