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Liu J, Lu X, Zeng S, Fu R, Wang X, Luo L, Huang T, Deng X, Zheng H, Ma S, Ning D, Zong L, Lin SH, Zhang Y. ATF3-CBS signaling axis coordinates ferroptosis and tumorigenesis in colorectal cancer. Redox Biol 2024; 71:103118. [PMID: 38490069 PMCID: PMC10958616 DOI: 10.1016/j.redox.2024.103118] [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: 01/26/2024] [Revised: 03/02/2024] [Accepted: 03/06/2024] [Indexed: 03/17/2024] Open
Abstract
The induction of ferroptosis is promising for cancer therapy. However, the mechanisms enabling cancer cells to evade ferroptosis, particularly in low-cystine environments, remain elusive. Our study delves into the intricate regulatory mechanisms of Activating transcription factor 3 (ATF3) on Cystathionine β-synthase (CBS) under cystine deprivation stress, conferring resistance to ferroptosis in colorectal cancer (CRC) cells. Additionally, our findings establish a positively correlation between this signaling axis and CRC progression, suggesting its potential as a therapeutic target. Mechanistically, ATF3 positively regulates CBS to resist ferroptosis under cystine deprivation stress. In contrast, the suppression of CBS sensitizes CRC cells to ferroptosis through targeting the mitochondrial tricarboxylic acid (TCA) cycle. Notably, our study highlights that the ATF3-CBS signaling axis enhances ferroptosis-based CRC cancer therapy. Collectively, the findings reveal that the ATF3-CBS signaling axis is the primary feedback pathway in ferroptosis, and blocking this axis could be a potential therapeutic approach for colorectal cancer.
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Affiliation(s)
- Junjia Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xinyi Lu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Siyu Zeng
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Rong Fu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xindong Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Lingtao Luo
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Xiamen University, Xiamen University, Xiamen, Fujian, 361102, China
| | - Ting Huang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China; School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Xusheng Deng
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Hualei Zheng
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Shaoqian Ma
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Dan Ning
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Lili Zong
- School of Pharmaceutical Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China; National Institute for Data Science in Health and Medicine Engineering, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China
| | - Yongyou Zhang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, Engineering Research Centre of Molecular Diagnostics of the Ministry of Education, School of Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China; National Institute for Data Science in Health and Medicine Engineering, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, Fujian, 361102, China.
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2
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Xie F, Niu Y, Lian L, Wang Y, Zhuang A, Yan G, Ren Y, Chen X, Xiao M, Li X, Xi Z, Zhang G, Qin D, Yang K, Zheng Z, Zhang Q, Xia X, Li P, Gu L, Wu T, Luo C, Lin SH, Li W. Multi-omics joint analysis revealed the metabolic profile of retroperitoneal liposarcoma. Front Med 2023:10.1007/s11684-023-1020-z. [PMID: 38157196 DOI: 10.1007/s11684-023-1020-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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 07/04/2023] [Indexed: 01/03/2024]
Abstract
Retroperitoneal liposarcoma (RLPS) is the main subtype of retroperitoneal soft sarcoma (RSTS) and has a poor prognosis and few treatment options, except for surgery. The proteomic and metabolic profiles of RLPS have remained unclear. The aim of our study was to reveal the metabolic profile of RLPS. Here, we performed proteomic analysis (n = 10), metabolomic analysis (n = 51), and lipidomic analysis (n = 50) of retroperitoneal dedifferentiated liposarcoma (RDDLPS) and retroperitoneal well-differentiated liposarcoma (RWDLPS) tissue and paired adjacent adipose tissue obtained during surgery. Data analysis mainly revealed that glycolysis, purine metabolism, pyrimidine metabolism and phospholipid formation were upregulated in both RDDLPS and RWDLPS tissue compared with the adjacent adipose tissue, whereas the tricarboxylic acid (TCA) cycle, lipid absorption and synthesis, fatty acid degradation and biosynthesis, as well as glycine, serine, and threonine metabolism were downregulated. Of particular importance, the glycolytic inhibitor 2-deoxy-D-glucose and pentose phosphate pathway (PPP) inhibitor RRX-001 significantly promoted the antitumor effects of the MDM2 inhibitor RG7112 and CDK4 inhibitor abemaciclib. Our study not only describes the metabolic profiles of RDDLPS and RWDLPS, but also offers potential therapeutic targets and strategies for RLPS.
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Affiliation(s)
- Fu'an Xie
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, China
- Xiamen University Research Center of Retroperitoneal Tumor Committee of Oncology Society of Chinese Medical Association, Xiamen University, Xiamen, 361102, China
| | - Yujia Niu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Lanlan Lian
- Department of Laboratory Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Yue Wang
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Aobo Zhuang
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Guangting Yan
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Yantao Ren
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Xiaobing Chen
- Department of Retroperitoneal Tumor Surgery, Peking University International Hospital, Beijing, 102206, China
| | - Mengmeng Xiao
- Department of Retroperitoneal Tumor Surgery, Peking University International Hospital, Beijing, 102206, China
| | - Xi Li
- School of Public Health, Harvard University, Boston, MA, 02115, USA
| | - Zhe Xi
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Gen Zhang
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Dongmei Qin
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Kunrong Yang
- Laboratory of Biochemistry and Molecular Biology Research, Department of Clinical Laboratory, Fujian Medical University Cancer Hospital, Fuzhou, 350014, China
| | - Zhigang Zheng
- Surgery Department, Affiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou, 350009, China
| | - Quan Zhang
- National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361102, China
| | - Xiaogang Xia
- Department of Hepatobiliary Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Peng Li
- Department of Hepatobiliary Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Lingwei Gu
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China
| | - Ting Wu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, China.
- Xiamen University Research Center of Retroperitoneal Tumor Committee of Oncology Society of Chinese Medical Association, Xiamen University, Xiamen, 361102, China.
| | - Chenghua Luo
- Department of Retroperitoneal Tumor Surgery, Peking University International Hospital, Beijing, 102206, China.
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, China.
| | - Wengang Li
- Cancer Research Center, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China.
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen, 361102, China.
- Xiamen University Research Center of Retroperitoneal Tumor Committee of Oncology Society of Chinese Medical Association, Xiamen University, Xiamen, 361102, China.
- Department of Hepatobiliary Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, China.
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3
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Altan M, Soto F, Xu T, Wilson N, Franco-Vega MC, Simbaqueba Clavijo CA, Shannon VR, Faiz SA, Gandhi S, Lin SH, Lopez P, Zhong L, Akhmedzhanov F, Godoy MCB, Shroff GS, Wu J, Khawaja F, Kim ST, Naing A, Heymach JV, Daniel-Macdougall C, Liao Z, Sheshadri A. Pneumonitis After Concurrent Chemoradiation and Immune Checkpoint Inhibition in Patients with Locally Advanced Non-small Cell Lung Cancer. Clin Oncol (R Coll Radiol) 2023; 35:630-639. [PMID: 37507279 DOI: 10.1016/j.clon.2023.07.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/20/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023]
Abstract
AIMS Pneumonitis is a common and potentially deadly complication of combined chemoradiation and immune checkpoint inhibition (CRT-ICI) in patients with locally advanced non-small cell lung cancer (LA-NSCLC). In this study we sought to identify the risk factors for pneumonitis with CRT-ICI therapy in LA-NSCLC cases and determine its impact on survival. MATERIALS AND METHODS We conducted a retrospective chart review of 140 patients with LA-NSCLC who underwent curative-intent CRT-ICI with durvalumab between 2018 and 2021. Pneumonitis was diagnosed by a multidisciplinary team of clinical experts. We used multivariable cause-specific hazard models to identify risk factors associated with grade ≥2 pneumonitis. We constructed multivariable Cox proportional hazard models to investigate the impact of pneumonitis on all-cause mortality. RESULTS The median age of the cohort was 67 years; most patients were current or former smokers (86%). The cumulative incidence of grade ≥2 pneumonitis was 23%. Among survivors, 25/28 patients had persistent parenchymal scarring. In multivariable analyses, the mean lung dose (hazard ratio 1.14 per Gy, 95% confidence interval 1.03-1.25) and interstitial lung disease (hazard ratio 3.8, 95% confidence interval 1.3-11.0) increased the risk for pneumonitis. In adjusted models, grade ≥2 pneumonitis (hazard ratio 2.5, 95% confidence interval 1.0-6.2, P = 0.049) and high-grade (≥3) pneumonitis (hazard ratio 8.3, 95% confidence interval 3.0-23.0, P < 0.001) were associated with higher all-cause mortality. CONCLUSIONS Risk factors for pneumonitis in LA-NSCLC patients undergoing CRT-ICI include the mean radiation dose to the lung and pre-treatment interstitial lung disease. Although most cases are not fatal, pneumonitis in this setting is associated with markedly increased mortality.
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Affiliation(s)
- M Altan
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - F Soto
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - T Xu
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - N Wilson
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M C Franco-Vega
- Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - C A Simbaqueba Clavijo
- Department of General Internal Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - V R Shannon
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S A Faiz
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S Gandhi
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Lopez
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - L Zhong
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - F Akhmedzhanov
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M C B Godoy
- Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - G S Shroff
- Department of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Wu
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - F Khawaja
- Department of Infectious Diseases, Infection Control and Employee Health, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - S T Kim
- Department of Rheumatology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A Naing
- Department of Investigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - C Daniel-Macdougall
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Z Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A Sheshadri
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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4
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Abana CO, Palmiero AN, Velasquez BD, Liu K, Koong AC, Beddar S, Mitra D, Schueler E, Lin SH. Feasibility and Clinical Implementation of Electron FLASH Radiation Therapy in the Yorkshire Swine Model. Int J Radiat Oncol Biol Phys 2023; 117:e637-e638. [PMID: 37785900 DOI: 10.1016/j.ijrobp.2023.06.2042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Preclinical studies have shown FLASH radiation therapy (RT) increases the therapeutic index through reduction in normal tissue toxicity but with retained tumor control compared to conventional dose rate (CONV) RT. Dosimetry in FLASH beams is challenging and complex as beam monitoring and proper dosimetry analysis remain uncertain and under investigation. Despite these limitations, clinical translation of FLASH RT has already begun. For translation of FLASH RT from the preclinical stage, it is critical that robust clinical workflows and dosimetry methods be confidently established to ensure patient safety. Here, we present the clinical workflow for the Yorkshire pig, an animal that resembles the body dimension, weight, and biology of a human patient, with the goal to establish standard operating procedures to ensure a safe and robust clinical translation in our upcoming phase I study in cutaneous tumors. The study determines feasibility and safety while finding incidence of dose-limiting toxicities and maximum tolerable dose for future Phase II trials. MATERIALS/METHODS All procedures were approved by the institutional animal care and use committee. 6 pigs (40-50 kg) were placed under general anesthesia and underwent CT imaging for radiation therapy simulation purposes. The skin was first shaven, and targets on the dorsolateral flanks were marked with tattoos and BBs for CT visualization. Vacloc immobilization was used to allow for reproducible setup on the treatment couch. A treatment planning model was established for treatment planning and dose evaluation purposes. CONV and FLASH single and fractionated dose regimens were prescribed to the 90% isodose line in a 9 MeV beam. Skin collimation and bolus minimized beam penumbra and increased skin dose. Treatment time and pulse repetition frequency were constant between all FLASH fields. Prescription levels were varied via dose per pulse. Calibration and verification of these settings were performed utilizing a multi-dosimeter method for verification in solid water. Output of the beam was verified on the day of the treatment using beam current transformers. This same multi-dosimeter method was used as in-vivo dosimetry on treatment day and compared to the dose verification ensure full dose was received. RESULTS Variation between the three dosimeter methods was found to be within 5% among all pigs within the study. The maximum percent difference between dose verification and dose delivery was 6%. Consideration must be taken in dosimeter readout error due to the surface of the pig skin. FLASH and CONV toxicity results are currently under evaluation and will be published upon completion of the study. CONCLUSION Establishing guidelines and protocols for electron FLASH clinical translation is important to instill confidence in patient safety with this new technique. This study has further optimized and developed dosimetry tools and setup to be used in future clinical trials.
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Affiliation(s)
- C O Abana
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - A N Palmiero
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - B D Velasquez
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - K Liu
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - A C Koong
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S Beddar
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - D Mitra
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - E Schueler
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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Abana CO, Carriere PP, Damen P, van Rossum PSN, Bravo PL, Wei X, Pollard JM, Nitsch PL, Murphy MB, Hofstetter W, Liao Z, Lin SH. Long-Term Outcomes and Toxicity in Esophageal Cancer Patients after Neoadjuvant or Definitive Concurrent Chemotherapy with Proton Beam Therapy. Int J Radiat Oncol Biol Phys 2023; 117:e280-e281. [PMID: 37785050 DOI: 10.1016/j.ijrobp.2023.06.1262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Proton-beam therapy (PT) is increasingly utilized over three dimensional-conformal radiation therapy (3D-CRT) and intensity modulated radiation therapy (IMRT) photon irradiation for the treatment of various malignancies due to better toxicity reduction. We investigated the long-term outcomes and toxicity in esophageal cancer (EC) patients treated with PT as part of their neoadjuvant concurrent chemoradiation followed by surgery (nCRT) or definitive concurrent chemoradiation (dCRT) treatment regimen. MATERIALS/METHODS All consecutively treated, American Joint Committee on Cancer 7th edition clinical stage I-IV EC patients from 2006 to 2022 were retrospectively analyzed. Standard RT dose for most patients was 50.4 Gy/28 fractions. nCRT patients had surgery within 4 months post-RT. Kaplan-Meier method was used to determine overall survival (OS), locoregional recurrence-free survival (LRRFS) and distant metastatic-free survival (DMFS). Acute and chronic RT-related toxicities were graded with Common Terminology Criteria for Adverse Events version 4.0. RESULTS There were 510 EC PT patients: 204 (40%) had nCRT and 306 (60%) had dCRT. Most lesions were located in the lower esophagus, of adenocarcinoma histology and treated with passive scatter PT. Overall median follow-up was 72 months. Median, 3- and 5-year OS for all patients were 43 months, 54.1% and 44.9%, respectively. Median LRRFS and DMFS were not reached. Esophagitis was the most common grade ≥3 (G3+) toxicity (59 patients; 28.9%, including a G4 and a G5 toxicity), followed by nausea (29 patients; 14.2%) and esophageal stricture (26 patients, 12.7%). With nCRT, median, 3- and 5-year OS were 80 months, 64.7% and 56.1%, respectively, while the median LRRFS and DMFS were not reached again. Their most common G3+ toxicity was esophagitis in 14 patients (6.9%) followed by nausea (8 patients; 3.9%). An nCRT patient developed G4 RT pneumonitis. Pathological complete response (pCR) was observed in 58 patients (28.4%). Surgery-related pulmonary, cardiac and gastrointestinal complications were reported in 38 (18.6%), 40 (19.6%) and 43 (21.1%) patients, respectively. dCRT patients had a median follow-up of 65 months, and median, 3- and 5-year OS of 32 months, 46.7% and 37.0%, respectively. Although the median LRRFS was not reached, the median DMFS was 74 months. The most observed dCRT G3+ toxicity was esophagitis (45 patients, 22.1%: including both G4 and G5 patients) and then esophageal stricture (23 patients, 11.3%). A dCRT patient developed G4 fistula. CONCLUSION To our knowledge, this is the largest single-institutional study on EC long-term outcomes and toxicity using PT. Our cohort reveals good outcomes and mostly mild CRT-related toxicities. Trimodality nCRT with protons demonstrates excellent outcomes relative to the CROSS trial (49.4 months) with identical pCR rate (29% in CROSS) and similar toxicity profile. nCRT with protons should be studied rigorously in the current randomized phase III trial NRG GI006.
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Affiliation(s)
- C O Abana
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - P P Carriere
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - P Damen
- Department of Radiation Oncology, The University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - P S N van Rossum
- Department of Radiation Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - P Lopez Bravo
- Department of Radiation Oncology Clinical Research, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - X Wei
- Department of Radiation Oncology Clinical Research, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - J M Pollard
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - P L Nitsch
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - M Blum Murphy
- Department of Gastrointestinal Medical Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - W Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Z Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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6
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Damen P, van Rossum PSN, Chen Y, Liao Z, Hofstetter W, Hobbs BP, Mohan R, Lin SH. Comparing 90-Day Post-Operative Mortality after Neoadjuvant Proton-Based vs. Photon-Based Chemoradiotherapy for Esophageal Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e346-e347. [PMID: 37785204 DOI: 10.1016/j.ijrobp.2023.06.2415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Standard of treatment for locally advanced esophageal cancer consists of chemoradiotherapy (CRT) followed by surgery. Evidence suggests that proton beam therapy (PBT) results in lower toxicity and fewer post-operative complications compared to photon-based radiotherapy (RT). Mortality in the first 90 days after surgery is a rare event occurring in 2-8% of patients, with higher reported rates (of up to 17%) in older patients. This 90-day mortality (90DM) rate is an important measure of post-operative (non-oncologic) mortality as a proxy of quality of care. We hypothesize that PBT could reduce the incidence of 90DM compared to photon-based RT. MATERIALS/METHODS From a single-center retrospectively acquired database patients with esophageal cancer treated with neoadjuvant CRT and esophagectomy in 1998-2022 were selected. Univariable logistic regression analyses were used to study the associations of RT modality and other patient- and treatment-related characteristics with 90DM. Subsequently, 3 separate methods were applied to adjust for confounding bias. These included multivariable logistic regression, 1:1 nearest-neighbor propensity score matching (PSM), and inverse probability of treatment weighting (IPTW). Finally, stratified analyses for patient groups aged ≥67 vs. <67 years were performed. RESULTS A total of 894 eligible patients were included (PBT, n = 202; photon-based RT, n = 692). PBT patients had a significantly higher age, better performance score, and a higher number of comorbidities. The 90DM rate was 5 (2.5%) in the PBT group and 29 (4.2%) in the photon-based RT group (p = 0.262). Significant univariable predictors of 90DM included higher age and tumor location. After multivariable adjustment, PBT vs. photon therapy was not significantly associated with 90DM (OR 0.49, 95% CI 0.18-1.31). The 90DM rates in the PSM cohort (n = 181 vs. n = 181) were 2.8% for PBT and 3.3% for photon-based RT (p = 0.379). The 90DM rates in the IPTW cohort were 2.8% for PBT and 4.1% for photon-based RT (p = 0.427). In the full cohort, stratified analysis for age groups revealed that in patients aged ≥67 years, PBT was associated with a decreased risk of 90DM compared to photon-based RT (1.3% vs. 8.8%; p = 0.046), which was not the case in patients aged <67 years. In the PSM cohort, a comparable (but non-significant) difference was observed in favor of PBT in patients aged ≥67 years (i.e., 1.5% vs. 7.5%; p = 0.099). Within-group analyses in the original cohort demonstrated that a higher age significantly increased the risk of 90DM within the photon-based RT group (8.8% vs. 2.7% for age ≥67 vs. <67 years; p = 0.001), but not within the PBT group (1.3% vs. 3.2%; p = 0.398). CONCLUSION Post-operative 90DM after esophagectomy for cancer was not significantly different between PBT and photon-based neoadjuvant CRT. However, among older patients we observed a signal that PBT may reduce the risk of 90DM. Higher age increased the risk of 90DM in patients who underwent photon-based RT, but not in patients who underwent PBT.
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Affiliation(s)
- P Damen
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Radiation Oncology, The University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - P S N van Rossum
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Radiation Oncology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Y Chen
- Department of Biostatistics and Data Science, University of Texas Health Science Center, Houston, TX
| | - Z Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - W Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - B P Hobbs
- Department of Population Health, The University of Austin Dell Medical School, Austin, TX
| | - R Mohan
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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7
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Liu Y, Hobbs BP, Hofstetter W, Murphy MB, Gandhi S, Nguyen QN, Chang JY, Liao Z, Diehn M, Ma J, Lin SH. Prospective Trial of Using Imaging to Predict Pathologic Response and Clinical Outcomes in Locally Advanced Esophageal Cancer. Int J Radiat Oncol Biol Phys 2023; 117:S12-S13. [PMID: 37784311 DOI: 10.1016/j.ijrobp.2023.06.227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Trimodality therapy with chemoradiation (CRT) followed by esophagectomy is the standard of care for locally advanced esophageal cancer. An unresolved question is whether pathologic complete response (pCR) can be assessed non-invasively for patients post-CRT. In this study, we assessed whether diffusion-weighted imaging (DWI) with MRI or PET can be used as predictors of pCR and other clinical outcomes after CRT. MATERIALS/METHODS Patients were enrolled on a single-arm institutional trial (PA13-0380) assessing the role of imaging in predicting outcomes in potentially resectable esophageal patients undergoing trimodality therapy. All patients received neoadjuvant CRT, and 29 patients had subsequent surgery. DWI MRI and PET scans were obtained at baseline, 2 weeks after the start of CRT (interim) and 4 to 6 weeks after completion of CRT (follow up). Apparent diffusion coefficients (ADCs) were calculated based on DWI images. Circulating tumor DNA was obtained for 27 patients post-radiation using CAPP-Seq. Mann-Whitney tests compared imaging changes associated with pCR. Discrimination of pCR by imaging changes was quantified by received operating characteristics. Youden's index was applied to select optimal thresholds. Kaplan-Meier analysis was performed to assess differences in overall survival (OS) and progression-free survival (PFS) by changes in DWI, PET, and ctDNA parameters. RESULTS Our cohort of 60 patients had a median follow up of 42.7 months, age of 65.4 yrs, and ECOG of 1 at completion of CRT. 90% were male, 58% had a history of smoking, and 85% were white. 83% had adenocarcinoma with the rest squamous cell carcinoma. Stages of the patients ranged from IIA to IIIB. All had moderately (47%) or poorly (53%) differentiated disease. All received 41.4-50.4 Gy in 1.8 Gy fractions with the majority receiving 50.4 Gy (95%). 29 patients underwent surgery after CRT of which 8 (27.6%) had pCR. Mean ΔADC from baseline to mid-treatment was most associated with pCR (AUC = 0.98, p<0.001) for patients undergoing surgery. Max ΔADC from baseline to first follow-up was most associated with OS (p = 0.002) and PFS (p<0.001) for the whole cohort. 27 patients had ctDNA analyzed after RT with the presence of ctDNA significantly associated with worse OS (HR = 0.12, p = 0.05) and PFS (HR = 0.10, p = 0.002). Combining ctDNA and max ΔADC generated a model that was more predictive of OS and PFS than either alone. We found that neither the PET parameters of TLG or SUV max at baseline or changes in these parameters from baseline to mid-treatment or first follow-up were as predictive as DWI. CONCLUSION We show that changes in DWI is associated with pCR, OS, and PFS in resectable esophageal cancer patients undergoing CRT. DWI was more predictive than PET and a model combining DWI and ctDNA was the most predictive of clinical outcomes. This study shows the significant promise of using DWI in potentially guiding treatment decisions in esophageal cancer patients and will require validation in a larger cohort.
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Affiliation(s)
- Y Liu
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - B P Hobbs
- Department of Population Health, The University of Austin Dell Medical School, Austin, TX
| | - W Hofstetter
- Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - M Blum Murphy
- Department of Gastrointestinal Medical Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX
| | - S Gandhi
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Q N Nguyen
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - J Y Chang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Z Liao
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - M Diehn
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Ma
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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8
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Abana CO, Palmiero AN, Liu K, Green MM, Li Z, Harris L, Mayor S, Samuel KQ, Younkin RA, Moore EJ, Norton W, Swain J, Fowlkes NW, Koong AC, Woodward WA, Taniguchi CM, Beddar S, Mitra D, Schueler E, Lin SH. Subacute Cutaneous Toxicity with Single-Fraction Electron FLASH RT in Yorkshire Swine. Int J Radiat Oncol Biol Phys 2023; 117:S10-S11. [PMID: 37784265 DOI: 10.1016/j.ijrobp.2023.06.223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Information regarding acute/subacute skin toxicity of electron FLASH radiation therapy (RT) is limited. We evaluated short-term safety of electron FLASH for human trials by investigating subacute toxicity compared to conventional dose-rate RT (CONV) in the Yorkshire pig, an animal model known to closely approximate human skin and routinely used for toxicity studies. MATERIALS/METHODS Two healthy 50 kg pigs underwent CT imaging for RT treatment planning with field visualization via BBs and tattoos on each dorsolateral flank. Each target received a single fraction of 20, 25 or 30 Gy with FLASH and CONV on opposing sides delivered using a dedicated mobile linear accelerator. FLASH dose rates ranged from 164-245 Gy/sec (12 pulses delivered over 0.122 sec) while the CONV dose rate was set at 0.18 Gy/sec. Doses were verified using thermo- and optically stimulated luminescent dosimeters, and Gafchromic films. We obtained baseline and weekly images up to 98 days post-RT (D98) for blinded toxicity grading by 3 expert radiation oncologists using the modified RTOG radiation dermatitis (RD) scale. We measured erythema and pigmentation indices on those timepoints using a handheld spectrophotometer. We also obtained punch biopsies of targets and non-irradiated controls on D10 and D30 for RNA sequencing and two 6-marker multiplex immunofluorescence analyses of inflammation, immune response, and fibrosis. FLASH and CONV data were compared using repeated measures ANOVA and transcriptomic analyses using DESeq2. RESULTS All RT targets developed peak median grade 4 (ulceration, hemorrhage, or necrosis) RD by D84 regardless of FLASH or CONV delivery. However, FLASH targets developed peak RD later than CONV targets after 20 Gy (D84 vs D63), 25 Gy (D84 vs D49) and 30 Gy (D63 vs D42). FLASH induced qualitatively lower mean pigmentation and erythema indices than CONV for all 3 doses. Similarly, peak mean pigmentation indices occurred later with FLASH vs CONV for 20 Gy (D84 vs D63), 25 Gy (D84 vs D49) and 30 Gy (D77 vs D63). However, peak mean erythema indices occurred on the same day for FLASH and CONV (D63 for 20 Gy and D42 for 25 and 30 Gy). Transcriptomic analyses revealed significantly upregulated signals for wound healing (including TGF-beta, cell adhesion and extracellular matrix receptor interaction) and leukocyte infiltration with 20 Gy CONV mostly by D10, while FLASH upregulated those pathways only after 25 or 30 Gy, or by D30, or never at all. Preliminary immunofluorescence data showed FLASH may induce less T cell infiltrate and TGF-beta-expressing macrophages than CONV. CONCLUSION Single-fraction electron FLASH resulted in delayed onsets of both subacute cutaneous toxicity and wound healing with leukocytic infiltration signaling than dose-matched CONV based on both subjective and objective metrics of skin injury. Our findings suggest further investigations of optimal dose of electron FLASH for safe clinical translation is warranted, and we have a dose-finding study currently underway.
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Affiliation(s)
- C O Abana
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - A N Palmiero
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - K Liu
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - M M Green
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Z Li
- Department of Biostatistics, The University of Texas M.D. Anderson Cancer Center, Houston, TX
| | - L Harris
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S Mayor
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - K Q Samuel
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - R A Younkin
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - E J Moore
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - W Norton
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - J Swain
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - N W Fowlkes
- Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - A C Koong
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Gastrointestinal Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - W A Woodward
- Department of Breast Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - C M Taniguchi
- The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S Beddar
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - D Mitra
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - E Schueler
- Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - S H Lin
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
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9
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Dang B, Gao Q, Zhang L, Zhang J, Cai H, Zhu Y, Zhong Q, Liu J, Niu Y, Mao K, Xiao N, Liu WH, Lin SH, Huang J, Huang SCC, Ho PC, Cheng SC. The glycolysis/HIF-1α axis defines the inflammatory role of IL-4-primed macrophages. Cell Rep 2023; 42:112471. [PMID: 37149865 DOI: 10.1016/j.celrep.2023.112471] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/08/2023] [Accepted: 04/19/2023] [Indexed: 05/09/2023] Open
Abstract
T helper type 2 (Th2) cytokine-activated M2 macrophages contribute to inflammation resolution and wound healing. This study shows that IL-4-primed macrophages exhibit a stronger response to lipopolysaccharide stimulation while maintaining M2 signature gene expression. Metabolic divergence between canonical M2 and non-canonical proinflammatory-prone M2 (M2INF) macrophages occurs after the IL-4Rα/Stat6 axis. Glycolysis supports Hif-1α stabilization and proinflammatory phenotype of M2INF macrophages. Inhibiting glycolysis blunts Hif-1α accumulation and M2INF phenotype. Wdr5-dependent H3K4me3 mediates the long-lasting effect of IL-4, with Wdr5 knockdown inhibiting M2INF macrophages. Our results also show that the induction of M2INF macrophages by IL-4 intraperitoneal injection and transferring of M2INF macrophages confer a survival advantage against bacterial infection in vivo. In conclusion, our findings highlight the previously neglected non-canonical role of M2INF macrophages and broaden our understanding of IL-4-mediated physiological changes. These results have immediate implications for how Th2-skewed infections could redirect disease progression in response to pathogen infection.
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Affiliation(s)
- Buyun Dang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; Department of Gastroenterology, The National Key Clinical Specialty, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361004, China
| | - Qingxiang Gao
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Lishan Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Jia Zhang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Hanyi Cai
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yanhui Zhu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Qiumei Zhong
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Junqiao Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yujia Niu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Kairui Mao
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Jialiang Huang
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | | | - Ping-Chih Ho
- Ludwig Institute for Cancer Research, University of Lausanne, Epalinges, Vaud, Switzerland; Department of Oncology, University of Lausanne, Epalinges, Switzerland
| | - Shih-Chin Cheng
- State Key Laboratory of Cellular Stress Biology, School of Life Science, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China; Department of Gastroenterology, The National Key Clinical Specialty, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361004, China; Department of Digestive Disease, School of Medicine, Xiamen University, Xiamen, Fujian 361004, China.
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10
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Sun M, Li L, Niu Y, Wang Y, Yan Q, Xie F, Qiao Y, Song J, Sun H, Li Z, Lai S, Chang H, Zhang H, Wang J, Yang C, Zhao H, Tan J, Li Y, Liu S, Lu B, Liu M, Kong G, Zhao Y, Zhang C, Lin SH, Luo C, Zhang S, Shan C. PRMT6 promotes tumorigenicity and cisplatin response of lung cancer through triggering 6PGD/ENO1 mediated cell metabolism. Acta Pharm Sin B 2023; 13:157-173. [PMID: 36815049 PMCID: PMC9939295 DOI: 10.1016/j.apsb.2022.05.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 04/26/2022] [Accepted: 05/25/2022] [Indexed: 11/29/2022] Open
Abstract
Metabolic reprogramming is a hallmark of cancer, including lung cancer. However, the exact underlying mechanism and therapeutic potential are largely unknown. Here we report that protein arginine methyltransferase 6 (PRMT6) is highly expressed in lung cancer and is required for cell metabolism, tumorigenicity, and cisplatin response of lung cancer. PRMT6 regulated the oxidative pentose phosphate pathway (PPP) flux and glycolysis pathway in human lung cancer by increasing the activity of 6-phospho-gluconate dehydrogenase (6PGD) and α-enolase (ENO1). Furthermore, PRMT6 methylated R324 of 6PGD to enhancing its activity; while methylation at R9 and R372 of ENO1 promotes formation of active ENO1 dimers and 2-phosphoglycerate (2-PG) binding to ENO1, respectively. Lastly, targeting PRMT6 blocked the oxidative PPP flux, glycolysis pathway, and tumor growth, as well as enhanced the anti-tumor effects of cisplatin in lung cancer. Together, this study demonstrates that PRMT6 acts as a post-translational modification (PTM) regulator of glucose metabolism, which leads to the pathogenesis of lung cancer. It was proven that the PRMT6-6PGD/ENO1 regulatory axis is an important determinant of carcinogenesis and may become a promising cancer therapeutic strategy.
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Affiliation(s)
- Mingming Sun
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Leilei Li
- Biomedical Translational Research Institute, Jinan University, Guangzhou 510632, China
| | - Yujia Niu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Yingzhi Wang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Qi Yan
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Fei Xie
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Yaya Qiao
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Jiaqi Song
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Huanran Sun
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Zhen Li
- Biomedical Translational Research Institute, Jinan University, Guangzhou 510632, China
| | - Sizhen Lai
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Hongkai Chang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Han Zhang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Jiyan Wang
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China
| | - Chenxin Yang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Huifang Zhao
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Junzhen Tan
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Yanping Li
- Department of Pathology and Institute of Precision Medicine, Jining Medical University, Jining 272067, China
| | - Shuangping Liu
- Department of Pathology, Medical School, Dalian University, Dalian 116622, China
| | - Bin Lu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang 421001, China,School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Min Liu
- Institute of Biomedical Sciences, Shandong Provincial Key Laboratory of Animal Resistance Biology, Collaborative Innovation Center of Cell Biology in Universities of Shandong, College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Guangyao Kong
- National Local Joint Engineering Research Center of Biodiagnostics and Biotherapy, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - Yujun Zhao
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Chunze Zhang
- Department of Colorectal Surgery, Tianjin Union Medical Center, Nankai University, Tianjin 300121, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361102, China,Corresponding authors.
| | - Cheng Luo
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China,Corresponding authors.
| | - Shuai Zhang
- School of Integrative Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China,Corresponding authors.
| | - Changliang Shan
- State Key Laboratory of Medicinal Chemical Biology, College of Pharmacy and Tianjin Key Laboratory of Molecular Drug Research, Nankai University, Tianjin 300350, China,State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China,Corresponding authors.
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11
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Liu P, Tang N, Meng C, Yin Y, Qiu X, Tan L, Sun Y, Song C, Liu W, Liao Y, Lin SH, Ding C. SLC1A3 facilitates Newcastle disease virus replication by regulating glutamine catabolism. Virulence 2022; 13:1407-1422. [PMID: 35993169 PMCID: PMC9415643 DOI: 10.1080/21505594.2022.2112821] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [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] [Indexed: 12/02/2022] Open
Abstract
As obligate intracellular parasites, viruses rely completely on host metabolic machinery and hijack host nutrients for viral replication. Newcastle disease virus (NDV) causes acute, highly contagious avian disease and functions as an oncolytic agent. NDV efficiently replicates in both chicken and tumour cells. However, how NDV reprograms host cellular metabolism for its efficient replication is still ill-defined. We previously identified a significantly upregulated glutamate transporter gene, solute carrier family 1 member 3 (SLC1A3), during NDV infection via transcriptome analysis. To investigate the potential role of SLC1A3 during NDV infection, we first confirmed the marked upregulation of SLC1A3 in NDV-infected DF-1 or A549 cells through p53 and NF-κB pathways. Knockdown of SLC1A3 inhibited NDV infection. Western blot analysis further confirmed that glutamine, but not glutamate, asparagine, or aspartate, was required for NDV replication. Metabolic flux data showed that NDV promotes the decomposition of glutamine into the tricarboxylic acid cycle. Importantly, the level of glutamate and glutaminolysis were reduced by SLC1A3 knockdown, indicating that SLC1A3 propelled glutaminolysis for glutamate utilization and NDV replication in host cells. Taken together, our data identify that SLC1A3 serves as an important regulator for glutamine metabolism and is hijacked by NDV for its efficient replication during NDV infection. These results improve our understanding of the interaction between NDV and host cellular metabolism and lay the foundation for further investigation of efficient vaccines.
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Affiliation(s)
- Panrao Liu
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Ning Tang
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China.,College of Animal Science and Technology, Guangxi University, Nanning, P.R. China
| | - Chunchun Meng
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Yuncong Yin
- College of Veterinary Medicine, Yangzhou University, Yangzhou, P.R. China
| | - Xusheng Qiu
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Lei Tan
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Yingjie Sun
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Cuiping Song
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Weiwei Liu
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Ying Liao
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, P.R. China
| | - Chan Ding
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China.,Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, P.R. China
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12
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Chen CY, Li YH, Lee CH, Lin HW, Lin SH. Legacy effects of infection in patients with heart failure: a national cohort study of 31,318 patients in Taiwan. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.858] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Although infection is a common cause of hospitalization in patients (pts) with heart failure (HF), the long-term cardiovascular (CV) prognosis in HF after infection is not well studied.
Methods and results
From 2009 to 2015, 310,485 pts with their first HF admissions and survival to discharge were identified from the National Health Insurance Research Database. Among the pts, 103,505 (33.3%) were readmitted within 1 year after HF discharge for infection, including pneumonia (44.2%), urinary tract infection (UTI) (37.9%), skin and soft tissue infections (9.7%), and others (8.1%). Those without admission for any infection were controls. We compared the primary composite endpoint, including all-cause death, acute myocardial infarction (AMI), stroke, and hospitalization for HF (HHF) between the 2 groups after the infection episode. After propensity score matching, the clinical characteristics (age 71.7±13.9 years, male 52.0%) and treatment were similar between the groups (n=15,659 in each group). In a mean follow-up time of 4.3±2.9 years, 86.2% pts with a history of infection admission and 63.6% pts in the control group met the primary endpoint. Multivariate Cox proportional hazards analysis showed the infection group had a higher risk of the primary composite endpoint (HR 1.760, 95% CI 1.714–1.807), including all-cause death (HR 1.587, 95% CI: 1.540–1.636), HHF (HR 1.993, 95% CI 1.922–2.066), AMI (HR 1.332, 95% CI 1.224–1.450), and stroke (HR 1.769, 95% CI 1.664–1.882). In infection group, HHF was the earliest outcome event with a mean time of 17.5 months and mortality is the second early event with a mean time of 23 months after discharge from the infection episode. Pneumonia carried a higher risk than UTI for the primary composite endpoint (HR 1.140, 95% CI 1.104–1.178).
Conclusions
One-third of HF pts discharged from the hospital experienced acute infection that required readmission. The pts had worse CV prognosis after readmission for infectious disease compared to those without infection
Funding Acknowledgement
Type of funding sources: Private hospital(s). Main funding source(s): This study is supported by National Cheng Kung University Hospital and Tainan Hospital, Ministry of Health and Welfare, Taiwan.
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Affiliation(s)
- C Y Chen
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - Y H Li
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - C H Lee
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - H W Lin
- National Cheng Kung University Hospital , Tainan , Taiwan
| | - S H Lin
- National Cheng Kung University , Tainan , Taiwan
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13
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Lin ZK, Ma SJ, Qian JL, Lin SH, Xia YR, Xie YF, Wang HY, Shu R. [Association between periodontitis and mild cognitive impairment: a clinical pilot study]. Zhonghua Kou Qiang Yi Xue Za Zhi 2022; 57:576-584. [PMID: 35692001 DOI: 10.3760/cma.j.cn112144-20220414-00181] [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 evaluate the association between periodontitis and mild cognitive impairment (MCI), and explore the potential local oral risk factors for MCI. Methods: The study included 70 middle-aged and elderly subjects (44 females and 26 males) with periodontal disease who were first diagnosed by the Department of Periodontology or referred by the Department of Geriatrics in Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine from January 2021 to January 2022. In this study, the control group consisted of periodontal disease patients without cognitive impairment, and the case group (MCI group) consisted of those diagnosed with MCI referred by the geriatrics specialists. Full-mouth periodontal examinations of all subjects were performed and periodontal indicators were recorded by periodontists, while digital panoramic radiographs were taken. The severity of periodontitis was defined according to the 1999 classification, and the staging and grading of periodontitis were defined according to the 2018 American Academy of Periodontology and European Federation of Periodontology classification. The mini-mental state examination scale was chosen by geriatricians to evaluate the cognitive function of the included subjects. The cubital venous blood was drawn to detect the expression levels of inflammatory factors such as hypersensitive C-reactive protein (hs-CRP), interleukin (IL)-1β, IL-6 and tumor necrosis factor-α(TNF-α) in serum. Independent-samples t test and chi-square test were used to analyze the differences in population factors, periodontal-related indexes and serum inflammatory factors between the two groups (α=0.05). Odds ratios (OR) for MCI according to the severity of periodontitis and main periodontal clinical indexes were calculated by binary Logistic analysis. Results: Thirty-nine subjects were included in the control group and thirty-one in the MCI group. The age of the study population was (58.3±6.2) years (range: 45-70 years). The comparison between two groups showed that the control group was with higher educational background (χ²=9.45, P=0.024) and 2.6 years younger than the MCI group [(57.1±6.0) years vs. (59.7±6.3) years, t=-1.24, P=0.082]. The number and proportion of moderate to severe periodontitis in control group were significantly lower compared to those in MCI group (17 cases with 43.6% vs. 23 cases with 74.2%, χ²=6.61, P=0.010), and the OR of moderate to severe periodontitis adjusted by age and educational background was 3.00 (95%CI: 1.01-8.86, P=0.048). Compared with the grading (χ²=5.56, P=0.062) of periodontitis, staging had a greater impact on MCI (χ²=7.69, P=0.041), moreover the proportion of MCI in stage Ⅰ grade A periodontitis was significantly lower than any other type of periodontitis (χ²=13.86, P=0.036). In addition, less presence of deep periodontal pockets [probing depth (PD)≥6 mm] (17.9% vs. 41.9%, χ²=4.87, P=0.027), fewer number of PD≥4 mm (6.48±6.70 vs. 11.03±8.91, t=-2.44, P=0.017), lower plaque index (1.42±0.56 vs. 1.68±0.57, t=-1.91, P=0.059) and gingival index (1.68±0.29 vs. 1.96±0.30, t=-3.93, P<0.001) were in the control group than in the MCI group. However, there were no significant differences between the two groups in the levels of serum inflammatory factors, such as hs-CRP, IL-1β, IL-6 and TNF-α (P>0.05). Conclusions: It appears a strong correlation between moderate to severe periodontitis and the incidence of MCI in middle-aged and elderly people. Moreover, deep and increased number of periodontal pockets, poor oral hygiene, and severe gingival inflammation can be potentially associated risk factors for MCI.
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Affiliation(s)
- Z K Lin
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - S J Ma
- Department of Geriatrics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - J L Qian
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - S H Lin
- Department of Geriatrics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Y R Xia
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - Y F Xie
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
| | - H Y Wang
- Department of Geriatrics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Rong Shu
- Department of Periodontology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine & College of Stomatology, Shanghai Jiao Tong University & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Shanghai Key Laboratory of Stomatology, Shanghai 200011, China
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14
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Guo C, Wan R, He Y, Lin SH, Cao J, Qiu Y, Zhang T, Zhao Q, Niu Y, Jin Y, Huang HY, Wang X, Tan L, Thomas RK, Zhang H, Chen L, Wong KK, Hu L, Ji H. Therapeutic targeting of the mevalonate-geranylgeranyl diphosphate pathway with statins overcomes chemotherapy resistance in small cell lung cancer. Nat Cancer 2022; 3:614-628. [PMID: 35449308 DOI: 10.1038/s43018-022-00358-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 03/04/2022] [Indexed: 06/14/2023]
Abstract
Small cell lung cancer (SCLC) lacks effective treatments to overcome chemoresistance. Here we established multiple human chemoresistant xenograft models through long-term intermittent chemotherapy, mimicking clinically relevant therapeutic settings. We show that chemoresistant SCLC undergoes metabolic reprogramming relying on the mevalonate (MVA)-geranylgeranyl diphosphate (GGPP) pathway, which can be targeted using clinically approved statins. Mechanistically, statins induce oxidative stress accumulation and apoptosis through the GGPP synthase 1 (GGPS1)-RAB7A-autophagy axis. Statin treatment overcomes both intrinsic and acquired SCLC chemoresistance in vivo across different SCLC PDX models bearing high GGPS1 levels. Moreover, we show that GGPS1 expression is negatively associated with survival in patients with SCLC. Finally, we demonstrate that combined statin and chemotherapy treatment resulted in durable responses in three patients with SCLC who relapsed from first-line chemotherapy. Collectively, these data uncover the MVA-GGPP pathway as a metabolic vulnerability in SCLC and identify statins as a potentially effective treatment to overcome chemoresistance.
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Affiliation(s)
- Chenchen Guo
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ruijie Wan
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yayi He
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Shu-Hai Lin
- State Key Laboratory for Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Fujian, China
| | - Jiayu Cao
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ying Qiu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Tengfei Zhang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Qiqi Zhao
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Yujia Niu
- State Key Laboratory for Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Fujian, China
| | - Yujuan Jin
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Hsin-Yi Huang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Xue Wang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Li Tan
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
| | - Roman K Thomas
- Department of Translational Genomics, Medical Faculty, University of Cologne, Cologne, Germany
- Department of Pathology, Medical Faculty, University Hospital Cologne, Cologne, Germany
- DKFZ, German Cancer Research Center and German Cancer Consortium, Heidelberg, Germany
| | - Hua Zhang
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China
| | - Kwok-Kin Wong
- Laura and Isaac Perlmutter Cancer Center, New York University Langone Medical Center, New York, NY, USA
| | - Liang Hu
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.
| | - Hongbin Ji
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.
- University of Chinese Academy of Sciences, Beijing, China.
- School of Life Science and Technology, Shanghai Tech University, Shanghai, China.
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China.
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15
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Liu Y, Cong Y, Niu Y, Yuan Y, Tan F, Lai Q, Hu Y, Hou B, Li J, Lin C, Zheng H, Dong J, Tang J, Chen Q, Brzostek J, Zhang X, Chen XL, Wang HR, Gascoigne NRJ, Xu B, Lin SH, Fu G. Themis is indispensable for IL-2 and IL-15 signaling in T cells. Sci Signal 2022; 15:eabi9983. [PMID: 35167340 DOI: 10.1126/scisignal.abi9983] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
To perform their antiviral and antitumor functions, T cells must integrate signals both from the T cell receptor (TCR), which instruct the cell to remain quiescent or become activated, and from cytokines that guide cellular proliferation and differentiation. In mature CD8+ T cells, Themis has been implicated in integrating TCR and cytokine signals. We investigated whether Themis plays a direct role in cytokine signaling in mature T cells. Themis was required for IL-2- and IL-15-driven CD8+ T cell proliferation both in mice and in vitro. Mechanistically, we found that Themis promoted the activation of the transcription factor Stat and mechanistic target of rapamycin signaling downstream of cytokine receptors. Metabolomics and stable isotope tracing analyses revealed that Themis deficiency reduced glycolysis and serine and nucleotide biosynthesis, demonstrating a receptor-proximal requirement for Themis in triggering the metabolic changes that enable T cell proliferation. The cellular, metabolic, and biochemical defects caused by Themis deficiency were corrected in mice lacking both Themis and the phosphatase Shp1, suggesting that Themis mediates IL-2 and IL-15 receptor-proximal signaling by restraining the activity of Shp1. Together, these results not only shed light on the mechanisms of cytokine signaling but also provide new clues on manipulating T cells for clinical applications.
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Affiliation(s)
- Yongchao Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yu Cong
- Department of Hematology, First Affiliated Hospital and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China.,Cancer Research Center of Xiamen University, Xiamen, China
| | - Yujia Niu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yin Yuan
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Fancheng Tan
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Qian Lai
- Department of Hematology, First Affiliated Hospital and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China
| | - Yanyan Hu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Bowen Hou
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jian Li
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Chunjie Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Haiping Zheng
- Department of Hematology, First Affiliated Hospital and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China
| | - Junchen Dong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Jian Tang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Qinwei Chen
- Department of Hematology, First Affiliated Hospital and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China
| | - Joanna Brzostek
- Immunology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Xueqin Zhang
- Department of Obstetrics and Gynecology, Affiliated Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
| | - Xiao Lei Chen
- Department of Hematology, First Affiliated Hospital and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China
| | - Hong-Rui Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China.,Department of Obstetrics and Gynecology, Affiliated Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
| | - Nicholas R J Gascoigne
- Immunology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Bing Xu
- Department of Hematology, First Affiliated Hospital and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China.,Key Laboratory of Xiamen for Diagnosis and Treatment of Hematological Malignancy, Xiamen, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Guo Fu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China.,Department of Hematology, First Affiliated Hospital and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, China.,Cancer Research Center of Xiamen University, Xiamen, China.,Department of Obstetrics and Gynecology, Affiliated Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
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16
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Zhai X, Liu K, Fang H, Zhang Q, Gao X, Liu F, Zhou S, Wang X, Niu Y, Hong Y, Lin SH, Liu WH, Xiao C, Li Q, Xiao N. Mitochondrial C1qbp promotes differentiation of effector CD8 + T cells via metabolic-epigenetic reprogramming. Sci Adv 2021; 7:eabk0490. [PMID: 34860557 PMCID: PMC8641941 DOI: 10.1126/sciadv.abk0490] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 10/15/2021] [Indexed: 05/27/2023]
Abstract
Early-activated CD8+ T cells increase both aerobic glycolysis and mitochondrial oxidative phosphorylation (OXPHOS). However, whether and how the augmentation of OXPHOS regulates differentiation of effector CD8+ T cell remains unclear. Here, we found that C1qbp was intrinsically required for such differentiation in antiviral and antitumor immune responses. Activated C1qbp-deficient CD8+ T cells failed to increase mitochondrial respiratory capacities, resulting in diminished acetyl–coenzyme A as well as elevated fumarate and 2-hydroxyglutarate. Consequently, hypoacetylation of H3K27 and hypermethylation of H3K27 and CpG sites were associated with transcriptional down-regulation of effector signature genes. The effector differentiation of C1qbp-sufficient or C1qbp-deficient CD8+ T cells was reversed by fumarate or a combination of histone deacetylase inhibitor and acetate. Therefore, these findings identify C1qbp as a pivotal positive regulator in the differentiation of effector CD8+ T cells and highlight a metabolic-epigenetic axis in this process.
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Affiliation(s)
- Xingyuan Zhai
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Kai Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Hongkun Fang
- School of Medicine, Xiamen University, Xiamen, Fujian 361102, China
| | - Quan Zhang
- School of Medicine, Xiamen University, Xiamen, Fujian 361102, China
| | - Xianjun Gao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Fang Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Shangshang Zhou
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Xinming Wang
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yujia Niu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Yazhen Hong
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Wen-Hsien Liu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Changchun Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Qiyuan Li
- School of Medicine, Xiamen University, Xiamen, Fujian 361102, China
| | - Nengming Xiao
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
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17
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Yang Z, Yang D, Tan F, Wong CW, Yang JY, Zhou D, Cai Z, Lin SH. Multi-Omics Comparison of the Spontaneous Diabetes Mellitus and Diet-Induced Prediabetic Macaque Models. Front Pharmacol 2021; 12:784231. [PMID: 34880765 PMCID: PMC8645867 DOI: 10.3389/fphar.2021.784231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 10/25/2021] [Indexed: 11/16/2022] Open
Abstract
The prevalence of diabetes mellitus has been increasing for decades worldwide. To develop safe and potent therapeutics, animal models contribute a lot to the studies of the mechanisms underlying its pathogenesis. Dietary induction using is a well-accepted protocol in generating insulin resistance and diabetes models. In the present study, we reported the multi-omics profiling of the liver and sera from both peripheral blood and hepatic portal vein blood from Macaca fascicularis that spontaneously developed Type-2 diabetes mellitus with a chow diet (sDM). The other two groups of the monkeys fed with chow diet and high-fat high-sugar (HFHS) diet, respectively, were included for comparison. Analyses of various omics datasets revealed the alterations of high consistency. Between the sDM and HFHS monkeys, both the similar and unique alterations in the lipid metabolism have been demonstrated from metabolomic, transcriptomic, and proteomic data repeatedly. The comparison of the proteome and transcriptome confirmed the involvement of fatty acid binding protein 4 (FABP4) in the diet-induced pathogenesis of diabetes in macaques. Furthermore, the commonly changed genes between spontaneous diabetes and HFHS diet-induced prediabetes suggested that the alterations in the intra- and extracellular structural proteins and cell migration in the liver might mediate the HFHS diet induction of diabetes mellitus.
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Affiliation(s)
- Zhu Yang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Dianqiang Yang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Fancheng Tan
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Chi Wai Wong
- Guangzhou Huazhen Biosciences Co., Ltd., Guangzhou, China
| | - James Y. Yang
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
| | - Da Zhou
- School of Mathematical Sciences, Xiamen University, Xiamen, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, China
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18
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Gong Y, Tang N, Liu P, Sun Y, Lu S, Liu W, Tan L, Song C, Qiu X, Liao Y, Yu S, Liu X, Lin SH, Ding C. Newcastle disease virus degrades SIRT3 via PINK1-PRKN-dependent mitophagy to reprogram energy metabolism in infected cells. Autophagy 2021; 18:1503-1521. [PMID: 34720029 DOI: 10.1080/15548627.2021.1990515] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Lacking a self-contained metabolism network, viruses have evolved multiple mechanisms for rewiring the metabolic system of their host to hijack the host's metabolic resources for replication. Newcastle disease virus (NDV) is a paramyxovirus, as an oncolytic virus currently being developed for cancer treatment. However, how NDV alters cellular metabolism is still far from fully understood. In this study, we show that NDV infection reprograms cell metabolism by increasing glucose utilization in the glycolytic pathway. Mechanistically, NDV induces mitochondrial damage, elevated mitochondrial reactive oxygen species (mROS) and ETC dysfunction. Infection of cells depletes nucleotide triphosphate levels, resulting in elevated AMP:ATP ratios, AMP-activated protein kinase (AMPK) phosphorylation, and MTOR crosstalk mediated autophagy. In a time-dependent manner, NDV shifts the balance of mitochondrial dynamics from fusion to fission. Subsequently, PINK1-PRKN-dependent mitophagy was activated, forming a ubiquitin chain with MFN2 (mitofusin 2), and molecular receptor SQSTM1/p62 recognized damaged mitochondria. We also found that NDV infection induces NAD+-dependent deacetylase SIRT3 loss via mitophagy to engender HIF1A stabilization, leading to the switch from oxidative phosphorylation (OXPHOS) to aerobic glycolysis. Overall, these studies support a model that NDV modulates host cell metabolism through PINK1-PRKN-dependent mitophagy for degrading SIRT3.Abbreviations: AMPK: AMP-activated protein kinase; CCCP: carbonyl cyanide 3-chlorophenylhydrazone; ECAR: extracellular acidification rate; hpi: hours post infection LC-MS: liquid chromatography-mass spectrometry; mito-QC: mCherry-GFP-FIS1[mt101-152]; MFN2: mitofusin 2; MMP: mitochondrial membrane potential; mROS: mitochondrial reactive oxygen species; MOI: multiplicity of infection; 2-NBDG: 2-(N-(7-nitrobenz-2-oxa-1, 3-diazol-4-yl) amino)-2-deoxyglucose; NDV: newcastle disease virus; OCR: oxygen consumption rate; siRNA: small interfering RNA; SIRT3: sirtuin 3; TCA: tricarboxylic acid; TCID50: tissue culture infective doses.
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Affiliation(s)
- Yabin Gong
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Ning Tang
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China.,College of Animal Sciences and Veterinary Medicine, Guangxi University, Nanning, Guangxi, China
| | - Panrao Liu
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China.,Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, P.R. China
| | - Yingjie Sun
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Shanxin Lu
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, P.R. China
| | - Weiwei Liu
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Lei Tan
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Cuiping Song
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Xusheng Qiu
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Ying Liao
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Shengqing Yu
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China
| | - Xiufan Liu
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, P.R. China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, P.R. China
| | - Chan Ding
- Department of Avian Infectious Diseases, Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Science, Shanghai, P.R. China.,Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou, P.R. China
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19
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Wang YJ, Lin SH, Chen L, Qiu HW, Wang JX. Knockdown of GPRC5A inhibits cell proliferation, migration and invasion in osteosarcoma. J BIOL REG HOMEOS AG 2021; 35:9. [PMID: 34350749 DOI: 10.23812/21-si1-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Y J Wang
- Department of Orthopaedics, People's Hospital of Rizhao, Rizhao City, Shandong Province, China
| | - S H Lin
- Department of Orthopaedics, People's Hospital of Rizhao, Rizhao City, Shandong Province, China
| | - L Chen
- Department of Orthopaedics, People's Hospital of Rizhao, Rizhao City, Shandong Province, China
| | - H W Qiu
- Department of Orthopaedics, People's Hospital of Rizhao, Rizhao City, Shandong Province, China
| | - J X Wang
- Department of Orthopaedics, People's Hospital of Rizhao, Rizhao City, Shandong Province, China
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20
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Tong Y, Guo D, Lin SH, Liang J, Yang D, Ma C, Shao F, Li M, Yu Q, Jiang Y, Li L, Fang J, Yu R, Lu Z. SUCLA2-coupled regulation of GLS succinylation and activity counteracts oxidative stress in tumor cells. Mol Cell 2021; 81:2303-2316.e8. [PMID: 33991485 DOI: 10.1016/j.molcel.2021.04.002] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 01/15/2021] [Accepted: 04/01/2021] [Indexed: 11/29/2022]
Abstract
Glutaminase regulates glutaminolysis to promote cancer cell proliferation. However, the mechanism underlying glutaminase activity regulation is largely unknown. Here, we demonstrate that kidney-type glutaminase (GLS) is highly expressed in human pancreatic ductal adenocarcinoma (PDAC) specimens with correspondingly upregulated glutamine dependence for PDAC cell proliferation. Upon oxidative stress, the succinyl-coenzyme A (CoA) synthetase ADP-forming subunit β (SUCLA2) phosphorylated by p38 mitogen-activated protein kinase (MAPK) at S79 dissociates from GLS, resulting in enhanced GLS K311 succinylation, oligomerization, and activity. Activated GLS increases glutaminolysis and the production of nicotinamide adenine dinucleotide phosphate (NADPH) and glutathione, thereby counteracting oxidative stress and promoting tumor cell survival and tumor growth in mice. In addition, the levels of SUCLA2 pS79 and GLS K311 succinylation, which were mutually correlated, were positively associated with advanced stages of PDAC and poor prognosis for patients. Our findings reveal critical regulation of GLS by SUCLA2-coupled GLS succinylation regulation and underscore the regulatory role of metabolites in glutaminolysis and PDAC development.
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Affiliation(s)
- Yingying Tong
- The Institute of Cell Metabolism and Diseases, Shanghai Key Laboratory of Pancreatic Disease, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China; Cancer Center, Beijing Luhe Hospital, Capital Medical University, Beijing 101149, China
| | - Dong Guo
- Department of Hepatobiliary and Pancreatic Surgery and Zhejiang Provincial Key Laboratory of Pancreatic Disease of The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Zhejiang University Cancer Center, Hangzhou, Zhejiang 310029, China
| | - Shu-Hai Lin
- State Key Laboratory for Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Jiazhen Liang
- Key Laboratory of Marine Drugs, Chinese Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, Shandong 266003, China
| | - Dianqiang Yang
- State Key Laboratory for Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Chunmin Ma
- The Institute of Cell Metabolism and Diseases, Shanghai Key Laboratory of Pancreatic Disease, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Fei Shao
- The Affiliated Hospital of Qingdao University, Qingdao Cancer Institute, Qingdao, Shandong 266071, China
| | - Min Li
- Department of Hepatobiliary and Pancreatic Surgery and Zhejiang Provincial Key Laboratory of Pancreatic Disease of The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Zhejiang University Cancer Center, Hangzhou, Zhejiang 310029, China
| | - Qiujing Yu
- The Institute of Cell Metabolism and Diseases, Shanghai Key Laboratory of Pancreatic Disease, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China; Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), Department of Immunology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China
| | - Yuhui Jiang
- The Institute of Cell Metabolism and Diseases, Shanghai Key Laboratory of Pancreatic Disease, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200080, China
| | - Lei Li
- The Affiliated Hospital of Qingdao University, Qingdao Cancer Institute, Qingdao, Shandong 266071, China
| | - Jing Fang
- The Affiliated Hospital of Qingdao University, Qingdao Cancer Institute, Qingdao, Shandong 266071, China
| | - Rilei Yu
- Key Laboratory of Marine Drugs, Chinese Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, Shandong 266003, China.
| | - Zhimin Lu
- Department of Hepatobiliary and Pancreatic Surgery and Zhejiang Provincial Key Laboratory of Pancreatic Disease of The First Affiliated Hospital, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310029, China; Zhejiang University Cancer Center, Hangzhou, Zhejiang 310029, China.
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21
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Guo W, Li K, Sun B, Xu D, Tong L, Yin H, Liao Y, Song H, Wang T, Jing B, Hu M, Liu S, Kuang Y, Ling J, Li Q, Wu Y, Wang Q, Yao F, Zhou BP, Lin SH, Deng J. Dysregulated Glutamate Transporter SLC1A1 Propels Cystine Uptake via Xc - for Glutathione Synthesis in Lung Cancer. Cancer Res 2020; 81:552-566. [PMID: 33229341 DOI: 10.1158/0008-5472.can-20-0617] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/20/2020] [Accepted: 10/28/2020] [Indexed: 11/16/2022]
Abstract
Cancer cells need to generate large amounts of glutathione (GSH) to buffer oxidative stress during tumor development. A rate-limiting step for GSH biosynthesis is cystine uptake via a cystine/glutamate antiporter Xc-. Xc- is a sodium-independent antiporter passively driven by concentration gradients from extracellular cystine and intracellular glutamate across the cell membrane. Increased uptake of cystine via Xc- in cancer cells increases the level of extracellular glutamate, which would subsequently restrain cystine uptake via Xc-. Cancer cells must therefore evolve a mechanism to overcome this negative feedback regulation. In this study, we report that glutamate transporters, in particular SLC1A1, are tightly intertwined with cystine uptake and GSH biosynthesis in lung cancer cells. Dysregulated SLC1A1, a sodium-dependent glutamate carrier, actively recycled extracellular glutamate into cells, which enhanced the efficiency of cystine uptake via Xc- and GSH biosynthesis as measured by stable isotope-assisted metabolomics. Conversely, depletion of glutamate transporter SLC1A1 increased extracellular glutamate, which inhibited cystine uptake, blocked GSH synthesis, and induced oxidative stress-mediated cell death or growth inhibition. Moreover, glutamate transporters were frequently upregulated in tissue samples of patients with non-small cell lung cancer. Taken together, active uptake of glutamate via SLC1A1 propels cystine uptake via Xc- for GSH biosynthesis in lung tumorigenesis. SIGNIFICANCE: Cellular GSH in cancer cells is not only determined by upregulated Xc- but also by dysregulated glutamate transporters, which provide additional targets for therapeutic intervention.
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Affiliation(s)
- Wenzheng Guo
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Laboratory Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Kaimi Li
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Pathology, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Beibei Sun
- Translational Medical Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Dongliang Xu
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingfeng Tong
- Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huijing Yin
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yueling Liao
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyong Song
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tong Wang
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bo Jing
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Hu
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuli Liu
- Department of Oral and Maxillofacial-Head and Neck Oncology, the Ninth People's Hospital, College of Stomatology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanbin Kuang
- Department of Respiratory Medicine, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Jing Ling
- Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Li
- Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yadi Wu
- Department of Molecular and Cellular Biochemistry, Markey Cancer Center, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Qi Wang
- Department of Respiratory Medicine, The Second Affiliated Hospital, Dalian Medical University, Dalian, China
| | - Feng Yao
- Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Binhua P Zhou
- Department of Molecular and Cellular Biochemistry, Markey Cancer Center, University of Kentucky College of Medicine, Lexington, Kentucky
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China.
| | - Jiong Deng
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Minister of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China. .,Translational Medical Research Center, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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22
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Zhao Y, Shang Y, Ren Y, Bie Y, Qiu Y, Yuan Y, Zhao Y, Zou L, Lin SH, Zhou X. Omics study reveals abnormal alterations of breastmilk proteins and metabolites in puerperant women with COVID-19. Signal Transduct Target Ther 2020; 5:247. [PMID: 33097684 PMCID: PMC7581689 DOI: 10.1038/s41392-020-00362-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/23/2020] [Accepted: 09/14/2020] [Indexed: 11/09/2022] Open
Affiliation(s)
- Yin Zhao
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China
| | - You Shang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & WuhanJinyintan Hospital, CAS, 430023, Wuhan, China
| | - Yujie Ren
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), 430071, Wuhan, China
- Center for Precision Translational Medicine of Wuhan Institute of Virology & Guangzhou Women and Children's Medical Center, 510120, Guangzhou, China
| | - Yuanyuan Bie
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & WuhanJinyintan Hospital, CAS, 430023, Wuhan, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), 430071, Wuhan, China
| | - Yang Qiu
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & WuhanJinyintan Hospital, CAS, 430023, Wuhan, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), 430071, Wuhan, China
- Center for Precision Translational Medicine of Wuhan Institute of Virology & Guangzhou Women and Children's Medical Center, 510120, Guangzhou, China
| | - Yin Yuan
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China
| | - Yun Zhao
- Department of Obstetrics and Gynecology, Maternal and Child Hospital of Hubei Province, 430072, Wuhan, China
| | - Li Zou
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430022, Wuhan, China.
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China.
| | - Xi Zhou
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & WuhanJinyintan Hospital, CAS, 430023, Wuhan, China.
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), 430071, Wuhan, China.
- Center for Precision Translational Medicine of Wuhan Institute of Virology & Guangzhou Women and Children's Medical Center, 510120, Guangzhou, China.
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23
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Wang Y, Zhang J, Ren S, Sun D, Huang HY, Wang H, Jin Y, Li F, Zheng C, Yang L, Deng L, Jiang Z, Jiang T, Han X, Hou S, Guo C, Li F, Gao D, Qin J, Gao D, Chen L, Lin SH, Wong KK, Li C, Hu L, Zhou C, Ji H. Branched-Chain Amino Acid Metabolic Reprogramming Orchestrates Drug Resistance to EGFR Tyrosine Kinase Inhibitors. Cell Rep 2020; 28:512-525.e6. [PMID: 31291585 DOI: 10.1016/j.celrep.2019.06.026] [Citation(s) in RCA: 44] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2018] [Revised: 04/12/2019] [Accepted: 06/05/2019] [Indexed: 02/05/2023] Open
Abstract
Drug resistance is a significant hindrance to effective cancer treatment. Although resistance mechanisms of epidermal growth factor receptor (EGFR) mutant cancer cells to lethal EGFR tyrosine kinase inhibitors (TKI) treatment have been investigated intensively, how cancer cells orchestrate adaptive response under sublethal drug challenge remains largely unknown. Here, we find that 2-h sublethal TKI treatment elicits a transient drug-tolerant state in EGFR mutant lung cancer cells. Continuous sublethal treatment reinforces this tolerance and eventually establishes long-term TKI resistance. This adaptive process involves H3K9 demethylation-mediated upregulation of branched-chain amino acid aminotransferase 1 (BCAT1) and subsequent metabolic reprogramming, which promotes TKI resistance through attenuating reactive oxygen species (ROS) accumulation. Combination treatment with TKI- and ROS-inducing reagents overcomes this drug resistance in preclinical mouse models. Clinical information analyses support the correlation of BCAT1 expression with the EGFR TKI response. Our findings reveal the importance of BCAT1-engaged metabolism reprogramming in TKI resistance in lung cancer.
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Affiliation(s)
- Yuetong Wang
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jian Zhang
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shengxiang Ren
- Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Dan Sun
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hsin-Yi Huang
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hua Wang
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yujuan Jin
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Fuming Li
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chao Zheng
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Liu Yang
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Lei Deng
- School of Life Sciences, Peking University, Beijing 100871, China
| | - Zhonglin Jiang
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tao Jiang
- Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Xiangkun Han
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shenda Hou
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chenchen Guo
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fei Li
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Dong Gao
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Jun Qin
- CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Key Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Daming Gao
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Luonan Chen
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, China
| | - Kwok-Kin Wong
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Cheng Li
- School of Life Sciences, Peking University, Beijing 100871, China.
| | - Liang Hu
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Caicun Zhou
- Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
| | - Hongbin Ji
- State Key Laboratory of Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; CAS Center for Excellence in Molecular Cell Science, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Innovation Center for Cell Signaling Network, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China; Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China; School of Life Science and Technology, Shanghai Tech University, Shanghai 200120, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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24
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Wu D, Shu T, Yang X, Song JX, Zhang M, Yao C, Liu W, Huang M, Yu Y, Yang Q, Zhu T, Xu J, Mu J, Wang Y, Wang H, Tang T, Ren Y, Wu Y, Lin SH, Qiu Y, Zhang DY, Shang Y, Zhou X. Plasma metabolomic and lipidomic alterations associated with COVID-19. Natl Sci Rev 2020; 7:1157-1168. [PMID: 34676128 PMCID: PMC7197563 DOI: 10.1093/nsr/nwaa086] [Citation(s) in RCA: 204] [Impact Index Per Article: 51.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 04/15/2020] [Accepted: 04/23/2020] [Indexed: 12/19/2022] Open
Abstract
The pandemic of the coronavirus disease 2019 (COVID-19) has become a global public health crisis. The symptoms of COVID-19 range from mild to severe, but the physiological changes associated with COVID-19 are barely understood. In this study, we performed targeted metabolomic and lipidomic analyses of plasma from a cohort of patients with COVID-19 who had experienced different symptoms. We found that metabolite and lipid alterations exhibit apparent correlation with the course of disease in these patients, indicating that the development of COVID-19 affected their whole-body metabolism. In particular, malic acid of the TCA cycle and carbamoyl phosphate of the urea cycle result in altered energy metabolism and hepatic dysfunction, respectively. It should be noted that carbamoyl phosphate is profoundly down-regulated in patients who died compared with patients with mild symptoms. And, more importantly, guanosine monophosphate (GMP), which is mediated not only by GMP synthase but also by CD39 and CD73, is significantly changed between healthy subjects and patients with COVID-19, as well as between the mild and fatal cases. In addition, dyslipidemia was observed in patients with COVID-19. Overall, the disturbed metabolic patterns have been found to align with the progress and severity of COVID-19. This work provides valuable knowledge about plasma biomarkers associated with COVID-19 and potential therapeutic targets, as well as an important resource for further studies of the pathogenesis of COVID-19.
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Affiliation(s)
- Di Wu
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan 430023, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
| | - Ting Shu
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan 430023, China
| | - Xiaobo Yang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jian-Xin Song
- Department of Infectious Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | | | - Chengye Yao
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wen Liu
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan 430023, China
| | - Muhan Huang
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan 430023, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
| | - Yuan Yu
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qingyu Yang
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan 430023, China
| | - Tingju Zhu
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan 430023, China
| | - Jiqian Xu
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jingfang Mu
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan 430023, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
| | - Yaxin Wang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hong Wang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan 430075, China
| | - Tang Tang
- Wuhan Metware Biotechnology Co., Ltd., Wuhan 430075, China
| | - Yujie Ren
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan 430023, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
| | - Yongran Wu
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen 361005, China
| | - Yang Qiu
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan 430023, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ding-Yu Zhang
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan 430023, China
| | - You Shang
- Department of Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Jinyintan Hospital, Wuhan 430023, China
| | - Xi Zhou
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology & Wuhan Jinyintan Hospital, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences (CAS), Wuhan 430023, China
- State Key Laboratory of Virology, Wuhan Institute of Virology, Center for Biosafety Mega-Science, CAS, Wuhan 430071, China
- Center for Translational Medicine, Jinyintan Hospital, Wuhan 430023, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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25
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Liu K, Fang J, Jin J, Zhu S, Xu X, Xu Y, Ye B, Lin SH, Xu X. Serum Metabolomics Reveals Personalized Metabolic Patterns for Macular Neovascular Disease Patient Stratification. J Proteome Res 2020; 19:699-707. [PMID: 31755721 DOI: 10.1021/acs.jproteome.9b00574] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The macular neovascular disease is a group disorder with complex pathogenesis of neovascularization for vision impairment and irreversible blindness, posing great challenges to precise diagnosis and management. We prospectively recruited participants with age-related macular degeneration (AMD), polypoidal choroidal vasculopathy (PCV), and pathological myopia (PM) and compared with cataract patients without fundus diseases as a control group. The serum metabolome was profiled by gas chromatography coupled with time-of-flight mass spectrometry (GC-TOFMS) analysis. Multivariate statistical methods as well as data mining were performed for interpretation of macular neovascularization. A total of 446 participants with macular neovascularization and 138 cataract subjects as the control group were enrolled in this study. By employing GC-TOFMS, 131 metabolites were identified and 33 differentiating metabolites were highlighted in patients with macular neovascularization. For differential diagnosis, three panels of specific metabolomics-based biomarkers provided areas under the curve of 0.967, 0.938, and 0.877 in the discovery phase (n = 328) and predictive values of 87.3%, 79%, and 85.7% in the test phase (n = 256). Personalized pathway dysregulation scores measurement using Lilikoi package in R language revealed the pentose phosphate pathway and mitochondrial electron transport chain as the most important pathways in AMD; purine metabolism and glycolysis were identified as the major disturbed pathways in PCV, while the altered thiamine metabolism and purine metabolism may contribute to PM phenotypes. Serum metabolomics are powerful for characterizing metabolic disturbances of the macular neovascular disease. Differences in metabolic pathways may reflect an underlying macular neovascular disease and serve as therapeutic targets for macular neovascular treatment.
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Affiliation(s)
- Kun Liu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China
| | - Junwei Fang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China.,College of Basic Medical Sciences , Shanghai Jiao Tong University School of Medicine , Shanghai 200025 , China
| | - Jing Jin
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China
| | - Shaopin Zhu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China
| | - Xiaoyin Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China
| | - Yupeng Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China
| | - Bin Ye
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China
| | - Shu-Hai Lin
- College of Basic Medical Sciences , Shanghai Jiao Tong University School of Medicine , Shanghai 200025 , China.,State Key Laboratory of Cellular Stress Biology, School of Life Sciences , Xiamen University , Xiamen , Fujian 361005 , China
| | - Xun Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine; Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital , Shanghai Engineering Center for Visual Science and Photomedicine , Shanghai 200040 , China
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26
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Wang H, Fang J, Chen F, Sun Q, Xu X, Lin SH, Liu K. Metabolomic profile of diabetic retinopathy: a GC-TOFMS-based approach using vitreous and aqueous humor. Acta Diabetol 2020; 57:41-51. [PMID: 31089930 DOI: 10.1007/s00592-019-01363-0] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 05/03/2019] [Indexed: 12/12/2022]
Abstract
AIM To identify the potential metabolite markers in diabetic retinopathy (DR) by using gas chromatography coupled with time-of-flight mass spectrometry (GC-TOFMS). METHODS GC-TOFMS spectra were acquired from vitreous and aqueous humor (AH) samples of patients with DR and non-diabetic participants. Comparative analysis was used to elucidate the distinct metabolites of DR. Metabolic pathway was employed to explicate the metabolic reprogramming pathways involved in DR. Logistic regression and receiver-operating characteristic analyses were carried out to select and validate the biomarker metabolites and establish a therapeutic model. RESULTS Comparative analysis showed a clear separation between disease and control groups. Eight differentiating metabolites from AH and 15 differentiating metabolites from vitreous were highlighted. Out of these 23 metabolites, 11 novel metabolites have not been detected previously. Pathway analysis identified nine pathways (three in AH and six in vitreous) as the major disturbed pathways associated with DR. The abnormal of gluconeogenesis, ascorbate-aldarate metabolism, valine-leucine-isoleucine biosynthesis, and arginine-proline metabolism might weigh the most in the development of DR. The AUC of the logistic regression model established by D-2,3-Dihydroxypropanoic acid, isocitric acid, fructose 6-phosphate, and L-Lactic acid in AH was 0.965. The AUC established by pyroglutamic acid and pyruvic acid in vitreous was 0.951. CONCLUSIONS These findings have expanded our understanding of identified metabolites and revealed for the first time some novel metabolites in DR. These results may provide useful information to explore the mechanism and may eventually allow the development of metabolic biomarkers for prognosis and novel therapeutic strategies for the management of DR.
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Affiliation(s)
- Haiyan Wang
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Junwei Fang
- College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fenge Chen
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Qian Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Xiaoyin Xu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China
| | - Shu-Hai Lin
- College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, China.
| | - Kun Liu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.
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27
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Chen Z, Lin SH, Amy T, Han JC, Yang X, Ge SHP, He YH. P4648Retrograde flow in aortic isthmus in fetuses with congenital heart defects and computer flow dynamic modeling. Eur Heart J 2019. [DOI: 10.1093/eurheartj/ehz745.1030] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background and objectives
Retrograde flow (RF) in the aortic isthmus is frequently observed in fetuses in various hemodynamic states including congenital heart defects (CHD). This study sought to: 1) establish the association between this observation and variables of CHD by fetal echocardiography (FE); and 2) to computer flow dynamic (CFD) model to probe the causes and mechanisms underlying this observation.
Methods
A total of 256 (gestational age (GA) 26.3±9.8 weeks) fetuses with CHD and 168 (GA: 25.8±10.3weeks) with normal FE were examined from January, 2011 to May, 2016. The study group was divided into: 1) no RF, 2) end systolic RF, end diastolic RF, systolic RF, diastolic RF, and systolic and diastolic RF sub-groups (Figure upper). GA, cerebroplacental ratio (CPR) of pulsatility index (PI) in middle cerebral and umbilical arteries, cardiothoracic area ratio (CTR), left and right atrial dimensions (LA/RA), left and right ventricular dimensions (LV/RV), aortic and pulmonary artery dimensions (AO/PA), and aortic isthmus and ductal arch dimensions (AI/DA), velocity ratio of aorta and pulmonary artery (AO/PAv), aortic isthmus and ductal arch in systolic (AI/DAvs) and diastolic (AI/DAvd). Using principal component analysis (PCA), the component score coefficient matrix and optional variance percent (OVP) was calculated by PCA and the RF pattern was simulated by CFD (Figure lower).
Results
RF modeling by CFD was feasible (Figure B). Component analysis by PCA showed that four types of variables were associated with RF: 1) Structural variables contribute 23.7% OVP, including LV/RV, LA/ RA, AO/PA, and IS/DA; 2) Resistance variables 16.8% OVP, i.e. CPR; 3) Growth variables 12.2% OVP, i,e, GA and CTR; and 4) Velocity variables 10.9% OVP, i.e. AO/PAv, AI/DAvd.
Retrograde flow by fetal echo and CFD
Conclusions
Retrograde flow in the aortic isthmus is associated with structural, resistance, growth, and velocity variables in fetal circulation in various CHD and normal 3rd trimester pregnancies. Simulation and modeling by CFD is feasible and may be useful to understand the causes and mechanisms of retrograde flow and its utility in diagnosis and prognosis in CHD.
Acknowledgement/Funding
Research on prevention and control of reproductive health and major birth defects
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Affiliation(s)
- Z Chen
- Beijing Anzhen Hospital, echocardiography department, Beijing, China
| | - S H Lin
- Fujian Provincial Maternity and Children's Hospital of Fujian Medical University, Department of Ultrsound, Fuzhou, China
| | - T Amy
- School of Biomedical Engineering, Science and Health Systems, Drexel University, BioCirc Research Laboratory, philadelphia, United States of America
| | - J C Han
- Beijing Anzhen Hospital, echocardiography department, Beijing, China
| | - X Yang
- Beijing Anzhen Hospital, echocardiography department, Beijing, China
| | - S H P Ge
- Drexel University College of Medicine, St. Christopher's Hospital for Children, Philadelphia, United States of America
| | - Y H He
- Beijing Anzhen Hospital, echocardiography department, Beijing, China
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28
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Jin N, Bi A, Lan X, Xu J, Wang X, Liu Y, Wang T, Tang S, Zeng H, Chen Z, Tan M, Ai J, Xie H, Zhang T, Liu D, Huang R, Song Y, Leung ELH, Yao X, Ding J, Geng M, Lin SH, Huang M. Identification of metabolic vulnerabilities of receptor tyrosine kinases-driven cancer. Nat Commun 2019; 10:2701. [PMID: 31221965 PMCID: PMC6586626 DOI: 10.1038/s41467-019-10427-2] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [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: 06/06/2018] [Accepted: 05/08/2019] [Indexed: 12/22/2022] Open
Abstract
One of the biggest hurdles for the development of metabolism-targeted therapies is to identify the responsive tumor subsets. However, the metabolic vulnerabilities for most human cancers remain unclear. Establishing the link between metabolic signatures and the oncogenic alterations of receptor tyrosine kinases (RTK), the most well-defined cancer genotypes, may precisely direct metabolic intervention to a broad patient population. By integrating metabolomics and transcriptomics, we herein show that oncogenic RTK activation causes distinct metabolic preference. Specifically, EGFR activation branches glycolysis to the serine synthesis for nucleotide biosynthesis and redox homeostasis, whereas FGFR activation recycles lactate to fuel oxidative phosphorylation for energy generation. Genetic alterations of EGFR and FGFR stratify the responsive tumors to pharmacological inhibitors that target serine synthesis and lactate fluxes, respectively. Together, this study provides the molecular link between cancer genotypes and metabolic dependency, providing basis for patient stratification in metabolism-targeted therapies. Cancer subtypes may have distinct metabolic vulnerabilities that can be exploited for therapeutic interventions. Here, the authors show that in lung cancer, genetic activation of distinct oncogenic receptor tyrosine kinases results in unique metabolic liabilities and, in particular, EGFR aberrant cancers rely on the serine biosynthetic pathway while FGFR aberrant cancers rely on glycolysis.
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Affiliation(s)
- Nan Jin
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Aiwei Bi
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Xiaojing Lan
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China
| | - Jun Xu
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Xiaomin Wang
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Yingluo Liu
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Ting Wang
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Shuai Tang
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China
| | - Hanlin Zeng
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Ziqi Chen
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Minjia Tan
- University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China.,Chemical Proteomics Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China
| | - Jing Ai
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Hua Xie
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Tao Zhang
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Dandan Liu
- University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China.,Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China
| | - Ruimin Huang
- University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China.,Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China
| | - Yue Song
- Agilent Technologies (China) Co., Ltd., 1350 North Sichuan Road, 200080, Shanghai, China
| | - Elaine Lai-Han Leung
- Macau Institute for Applied Research in Medicine and Health, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, 999078, Macau, China
| | - Xiaojun Yao
- Macau Institute for Applied Research in Medicine and Health, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, 999078, Macau, China
| | - Jian Ding
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China.,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China
| | - Meiyu Geng
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China. .,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China.
| | - Shu-Hai Lin
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, 4221 South Xiang'an Road, 361102, Xiamen, China.
| | - Min Huang
- Division of Antitumor Pharmacology, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, 201203, Shanghai, China. .,University of Chinese Academy of Sciences, No.19 Yuquan Road, 100049, Beijing, China.
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29
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Li M, Lu Y, Li Y, Tong L, Gu XC, Meng J, Zhu Y, Wu L, Feng M, Tian N, Zhang P, Xu T, Lin SH, Tong X. Transketolase Deficiency Protects the Liver from DNA Damage by Increasing Levels of Ribose 5-Phosphate and Nucleotides. Cancer Res 2019; 79:3689-3701. [PMID: 31101762 DOI: 10.1158/0008-5472.can-18-3776] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 03/27/2019] [Accepted: 05/09/2019] [Indexed: 11/16/2022]
Abstract
De novo nucleotide biosynthesis is essential for maintaining cellular nucleotide pools, the suppression of which leads to genome instability. The metabolic enzyme transketolase (TKT) in the nonoxidative branch of the pentose phosphate pathway (PPP) regulates ribose 5-phosphate (R5P) levels and de novo nucleotide biosynthesis. TKT is required for maintaining cell proliferation in human liver cancer cell lines, yet the role of TKT in liver injury and cancer initiation remains to be elucidated. In this study, we generated a liver-specific TKT knockout mouse strain by crossing TKTflox/flox mice with albumin-Cre mice. Loss of TKT in hepatocytes protected the liver from diethylnitrosamine (DEN)-induced DNA damage without altering DEN metabolism. DEN treatment of TKT-null liver increased levels of R5P and promoted de novo nucleotide synthesis. More importantly, supplementation of dNTPs in primary hepatocytes alleviated DEN-induced DNA damage, cell death, inflammatory response, and cell proliferation. Furthermore, DEN and high-fat diet (HFD)-induced liver carcinogenesis was reduced in TKTflox/floxAlb-Cre mice compared with control littermates. Mechanistically, loss of TKT in the liver increased apoptosis, reduced cell proliferation, decreased TNFα, IL6, and STAT3 levels, and alleviated DEN/HFD-induced hepatic steatosis and fibrosis. Together, our data identify a key role for TKT in promoting genome instability during liver injury and tumor initiation. SIGNIFICANCE: These findings identify transketolase as a novel metabolic target to maintain genome stability and reduce liver carcinogenesis.
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Affiliation(s)
- Minle Li
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Cancer Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ying Lu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yakui Li
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingfeng Tong
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao-Chuan Gu
- Department of Orthopedics, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Jian Meng
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yemin Zhu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lifang Wu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ming Feng
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na Tian
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Zhang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianle Xu
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shu-Hai Lin
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- State Key Laboratory of Cellular Stress Biology, Innovation Center for Cell Signaling Network, School of Life Sciences, Xiamen University, Xiamen, Fujian, China
| | - Xuemei Tong
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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30
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Zhu Y, Lin SH, Zhu L, Zhang YX, Wang B, Tao J. P4545A novel comparative study of abdominal aortic remodeling using contrast enhanced ultrasound in combination with CTA in complex Debakey type III aortic dissection after TEVAR. Eur Heart J 2018. [DOI: 10.1093/eurheartj/ehy563.p4545] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Y Zhu
- 7th Affiliated Hospital of Sun Yat-sen University, Cardiovascular Department, ShenZhen, China People's Republic of
| | - S H Lin
- KangHua Hospital, Cardiovascular Department, DongGuan, China People's Republic of
| | - L Zhu
- KangHua Hospital, Cardiovascular Department, DongGuan, China People's Republic of
| | - Y X Zhang
- KangHua Hospital, Cardiovascular Department, DongGuan, China People's Republic of
| | - B Wang
- KangHua Hospital, Cardiovascular Department, DongGuan, China People's Republic of
| | - J Tao
- First Affiliated Hospital of Sun Yat-sen University, Cardiovascular Department, Guangzhou, China People's Republic of
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31
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Lin SH, Luo HL, Chen YT, Cheng YT. Using Hematuria as Detection of Post-kidney Transplantation Upper Urinary Tract Urothelial Carcinoma Is Associated With Delayed Diagnosis of Cancer Occurrence. Transplant Proc 2018; 49:1061-1063. [PMID: 28583527 DOI: 10.1016/j.transproceed.2017.03.070] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Kidney transplantation (KT) is an important renal replacement therapy for end-stage renal disease (ESRD). The incidence of upper urinary tract urothelial carcinoma (UTUC) is relatively higher in Taiwan. According to our institutional database, early onset of post-KT UTUC is not uncommon. Early detection of post-KT UTUC is an important issue to improve oncologic outcome. Because painless hematuria is a common symptom for UTUC, this study analyzes whether using hematuria as post-KT UTUC screening delayed cancer diagnosis or not. METHODS From 2005 to 2012, 128 ESRD patients were found to have UTUCs. There were 28 patients who underwent KT and were regularly followed up at our institution. All the patients underwent standard nephroureterectomy. RESULTS In ESRD patients with UTUC, the post-KT group revealed significantly less gross hematuria and microscopic hematuria at presentation compared with the non-KT group (43% versus 76%, P = .001 and 64% versus 86%, P = .011). For those patients with gross hematuria, non-organ-confined UTUC occurred more in the post-KT group compared with the non-KT group (42% versus 12%, P = .009). For those patients with microscopic hematuria, non-organ-confined UTUC occurred more in the post-KT group compared with the non-KT group with borderline significance (33% versus 16%, P = .085). CONCLUSIONS According to our observation, using gross or microscopic hematuria as detection of post-KT UTUC is associated with delayed diagnosis of cancer occurrence. Closer upper urinary tract image study such as sonography may help earlier cancer screening.
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Affiliation(s)
- S H Lin
- Department of Urology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - H L Luo
- Department of Urology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Y T Chen
- Department of Urology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Y T Cheng
- Department of Urology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
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Qu J, Sun W, Zhong J, Lv H, Zhu M, Xu J, Jin N, Xie Z, Tan M, Lin SH, Geng M, Ding J, Huang M. Correction: Phosphoglycerate mutase 1 regulates dNTP pool and promotes homologous recombination repair in cancer cells. J Cell Biol 2017; 216:jcb.20160700807172017c. [PMID: 28739677 PMCID: PMC5551699 DOI: 10.1083/jcb.20160700807172017c] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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33
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Cao Y, Lin SH, Wang Y, Chin YE, Kang L, Mi J. Glutamic Pyruvate Transaminase GPT2 Promotes Tumorigenesis of Breast Cancer Cells by Activating Sonic Hedgehog Signaling. Theranostics 2017; 7:3021-3033. [PMID: 28839461 PMCID: PMC5566103 DOI: 10.7150/thno.18992] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 06/02/2017] [Indexed: 12/18/2022] Open
Abstract
Increased glutamine metabolism is a hallmark of cancer. Mitochondrial glutamic pyruvate transaminase (GPT2) catalyzes the reversible transamination between alanine and α-ketoglutarate (α-KG), also known as 2-oxoglutarate, to generate pyruvate and glutamate during cellular glutamine catabolism. However, the precise role of GPT2 in tumorigenesis remains elusive. Here, we report that in breast cancer tissue samples and breast cancer cell lines, GPT2 expression level was markedly elevated and correlated with the pathological grades of breast cancers. GPT2 overexpression increased the subpopulation of breast cancer stem cells in vitro and promoted tumorigenesis in mice. GPT2 reduced α-KG level in cells leading to the inhibition of proline hydroxylase 2 (PHD2) activity involved in the regulation of HIF1α stability. Accumulation of HIF1α, resulting from GPT2-α-KG-PHD2 axial, constitutively activates sonic hedgehog (Shh) signaling pathway. Overall, GPT2 promotes tumorigenesis and stemness of breast cancer cells by activating the Shh signaling, suggesting that GTP2 is a potential target for breast cancer therapy.
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Chen GQ, Gong RH, Yang DJ, Zhang G, Lu AP, Yan SC, Lin SH, Bian ZX. Halofuginone dually regulates autophagic flux through nutrient-sensing pathways in colorectal cancer. Cell Death Dis 2017; 8:e2789. [PMID: 28492544 PMCID: PMC5520722 DOI: 10.1038/cddis.2017.203] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Revised: 03/11/2017] [Accepted: 04/06/2017] [Indexed: 02/06/2023]
Abstract
Autophagy has a key role in metabolism and impacts on tumorigenesis. Our previous study found that halofuginone (HF) exerts anticancer activity in colorectal cancer (CRC) by downregulating Akt/mTORC1 (mechanistic target of rapamycin complex 1) signaling pathway. But whether and how HF regulates autophagy and metabolism to inhibit cancer growth remains an open question. Here, we unveil that HF activates ULK1 by downregulation of its phosphorylation site at Ser757 through Akt/mTORC1 signaling pathway, resulting in induction of autophagic flux under nutrient-rich condition. On the other hand, HF inactivates ULK1 by downregulation of its phosphorylation sites at Ser317 and Ser777 through LKB1/AMPK signaling pathway, resulting in autophagic inhibition under nutrient-poor condition. Furthermore, Atg7-dependent autophagosome formation is also induced under nutrient-rich condition or blocked in nutrient-poor environment, respectively, upon HF treatment. More interestingly, we also found that HF inhibits glycolysis under nutrient-rich condition, whereas inhibits gluconeogenesis under nutrient-poor condition in an Atg7-dependent manner, suggesting that autophagy has a pivotal role of glucose metabolism upon HF treatment. Subsequent studies showed that HF treatment retarded tumor growth in xenograft mice fed with either standard chow diet or caloric restriction through dual regulation of autophagy in vivo. Together, HF has a dual role in autophagic modulation depending on nutritional conditions for anti-CRC.
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Affiliation(s)
- Guo-Qing Chen
- Laboratory of Brain and Gut Research, Center for Clinical Research on Chinese Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
- Chongqing Academy of Chinese Materia Medica, Chongqing, China
| | - Rui-Hong Gong
- Laboratory of Brain and Gut Research, Center for Clinical Research on Chinese Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | - Da-Jian Yang
- Chongqing Academy of Chinese Materia Medica, Chongqing, China
| | - Ge Zhang
- Laboratory of Brain and Gut Research, Center for Clinical Research on Chinese Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | - Ai-Ping Lu
- Laboratory of Brain and Gut Research, Center for Clinical Research on Chinese Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
| | - Siu-Cheong Yan
- Department of Applied Biology and Chemical Technology, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
| | - Shu-Hai Lin
- Laboratory of Brain and Gut Research, Center for Clinical Research on Chinese Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine (SJTU-SM), Shanghai 200025, China
| | - Zhao-Xiang Bian
- Laboratory of Brain and Gut Research, Center for Clinical Research on Chinese Medicine, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR, China
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Qu J, Sun W, Zhong J, Lv H, Zhu M, Xu J, Jin N, Xie Z, Tan M, Lin SH, Geng M, Ding J, Huang M. Phosphoglycerate mutase 1 regulates dNTP pool and promotes homologous recombination repair in cancer cells. J Cell Biol 2017; 216:409-424. [PMID: 28122957 PMCID: PMC5294784 DOI: 10.1083/jcb.201607008] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Revised: 11/02/2016] [Accepted: 01/17/2017] [Indexed: 02/04/2023] Open
Abstract
Phosphoglycerate mutase 1 (PGAM1) regulates metabolism in cancer cells. Qu et al. show that PGAM1 maintains the intracellular dNTP pool, promotes the stability of CTBP-interacting protein, and is required for homologous recombination repair. PGAM1 inhibition sensitizes BRCA1/2-proficient breast cancer to PARP inhibitors. Glycolytic enzymes are known to play pivotal roles in cancer cell survival, yet their molecular mechanisms remain poorly understood. Phosphoglycerate mutase 1 (PGAM1) is an important glycolytic enzyme that coordinates glycolysis, pentose phosphate pathway, and serine biosynthesis in cancer cells. Herein, we report that PGAM1 is required for homologous recombination (HR) repair of DNA double-strand breaks (DSBs) caused by DNA-damaging agents. Mechanistically, PGAM1 facilitates DSB end resection by regulating the stability of CTBP-interacting protein (CtIP). Knockdown of PGAM1 in cancer cells accelerates CtIP degradation through deprivation of the intracellular deoxyribonucleotide triphosphate pool and associated activation of the p53/p73 pathway. Enzymatic inhibition of PGAM1 decreases CtIP protein levels, impairs HR repair, and hence sensitizes BRCA1/2-proficient breast cancer to poly(ADP-ribose) polymerase (PARP) inhibitors. Together, this study identifies a metabolically dependent function of PGAM1 in promoting HR repair and reveals a potential therapeutic opportunity for PGAM1 inhibitors in combination with PARP inhibitors.
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Affiliation(s)
- Jia Qu
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China.,State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Wenyi Sun
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Jie Zhong
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Hao Lv
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Mingrui Zhu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Jun Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Nan Jin
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Zuoquan Xie
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Minjia Tan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Shu-Hai Lin
- Department of Biochemistry and Molecular Cell Biology, Shanghai Key Laboratory for Tumor Microenvironment and Inflammation, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Meiyu Geng
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Jian Ding
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China .,State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - Min Huang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
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Cao TT, Lin SH, Fu L, Tang Z, Che CM, Zhang LY, Ming XY, Liu TF, Tang XM, Tan BB, Xiang D, Li F, Chan OY, Xie D, Cai Z, Guan XY. Eukaryotic translation initiation factor 5A2 promotes metabolic reprogramming in hepatocellular carcinoma cells. Carcinogenesis 2017; 38:94-104. [PMID: 27879277 DOI: 10.1093/carcin/bgw119] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2016] [Revised: 09/27/2016] [Accepted: 11/21/2016] [Indexed: 12/20/2022] Open
Abstract
Reprogramming of intracellular metabolism is common in liver cancer cells. Understanding the mechanisms of cell metabolic reprogramming may present a new basis for liver cancer treatment. In our previous study, we reported that a novel oncogene eukaryotic translation initiation factor 5A2 (EIF5A2) promotes tumorigenesis under hypoxic condition. Here, we aim to investigate the role of EIF5A2 in cell metabolic reprogramming during hepatocellular carcinoma (HCC) development. In this study, we reported that the messenger RNA (mRNA) level of EIF5A2 was upregulated in 59 of 105 (56.2%) HCC clinical samples (P = 0.015), and EIF5A2 overexpression was significantly associated with shorter survival time of patients with HCC (P = 0.021). Ectopic expression of EIF5A2 in HCC cell lines significantly promoted cell growth and accelerated glucose utilization and lipogenesis rates. The high rates of glucose uptake and lactate secretion conferred by EIF5A2 revealed an abnormal activity of aerobic glycolysis in HCC cells. Several key enzymes involved in glycolysis including glucose transporter type 1 and 2, hexokinase 2, phosphofructokinase liver type, glyceraldehyde 3-phosphate dehydrogenase, pyruvate kinase M2 isoform, phosphoglycerate mutase 1 and lactate dehydrogenase A were upregulated by overexpression of EIF5A2. Moreover, EIF5A2 showed positive correlations with FASN and ACSS2, two key enzymes involved in the fatty acid de novo biosynthetic pathway, at both protein and mRNA levels in HCC. These results indicated that EIF5A2 may regulate fatty acid de novo biosynthesis by increasing the uptake of acetate. In conclusion, our findings demonstrate that EIF5A2 has a critical role in HCC cell metabolic reprogramming and may serve as a prominent novel therapeutic target for liver cancer treatment.
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Affiliation(s)
- Ting-Ting Cao
- Department of Pharmacology, Shenzhen Key Laboratory of Translational Medicine of Tumor and Cancer Research Centre, School of Medicine, Shenzhen University, Shenzhen, China
- Department of Clinical Oncology and
- Centre for Cancer Research, University of Hong Kong, Hong Kong, China
| | - Shu-Hai Lin
- Department of Chemistry and State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China
| | - Li Fu
- Department of Pharmacology, Shenzhen Key Laboratory of Translational Medicine of Tumor and Cancer Research Centre, School of Medicine, Shenzhen University, Shenzhen, China
| | - Zhi Tang
- Department of Chemistry and State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China
| | | | - Li-Yi Zhang
- Department of Clinical Oncology and
- Centre for Cancer Research, University of Hong Kong, Hong Kong, China
| | - Xiao-Yan Ming
- Department of Clinical Oncology and
- Centre for Cancer Research, University of Hong Kong, Hong Kong, China
| | - Teng-Fei Liu
- Department of Chemistry and State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China
| | - Xu-Ming Tang
- School of Biomedical Sciences, University of Hong Kong, Hong Kong, China
| | - Bin-Bin Tan
- Department of Pharmacology, Shenzhen Key Laboratory of Translational Medicine of Tumor and Cancer Research Centre, School of Medicine, Shenzhen University, Shenzhen, China
| | - Di Xiang
- Department of Pharmacology, Shenzhen Key Laboratory of Translational Medicine of Tumor and Cancer Research Centre, School of Medicine, Shenzhen University, Shenzhen, China
| | - Feng Li
- Wuhan University Shenzhen Research Institute, Shenzhen, China
- Department of Medical Genetics, School of Basic Medical Sciences, Wuhan University, Wuhan, China and
| | | | - Dan Xie
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zongwei Cai
- Department of Chemistry and State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong, China,
| | - Xin-Yuan Guan
- Department of Clinical Oncology and
- Centre for Cancer Research, University of Hong Kong, Hong Kong, China
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Lin SH, Yan JY. [Study of coenzyme Q10 in the liver of preeclampsia pregnant rats]. Zhonghua Fu Chan Ke Za Zhi 2016; 51:608-15. [PMID: 27561941 DOI: 10.3760/cma.j.issn.0529-567x.2016.08.011] [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 protective effect of coenzyme Q10 (CoQ10) in the liver of preeclampsiapregnant rats and the potential etiology. METHODS Fifty pregnant SD rats were equally divided into the normal pregnant (NP) group (n=10) and the preeclampsia (PE) group (n=40) randomly. The PE rats (n=40) were equally divided into four groups randomly, distilled water (DW) group, CoQ10 group, CoQ10 combined magnesium(CM) group and magnesium (Mg) group were established by treating the preeclampsia rats on day 15 to 21 of gestation with different measures. As for all the 50 rats, systolic blood pressure (SBP) of rat tail was detected on day 10, 15 and 21 of gestation respectively, 24 hours proteinuria analysis were detected on day 10, 15 and 21 of gestation respectively, levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST) in blood andsuperoxide dismutase (SOD), glutathione peroxidase (GSH-PX), malondialdehyde (MDA), caspase-3, Bcl-2 and Bax protein expression in liver tissue were detected by western blot assay on day 21 of gestation. RESULTS (1) SBP and 24 hours proteinuria analysis: there was no statistic difference among all the five groups on day 10 of gestation (P>0.05). Whereas, SBP and 24 hours proteinuria analysis were significantly higher in CoQ10 group, CoQ10 combined CM group, CM group and DW group than that in NP group on day 15, 21 of gestation (P<0.05). And SBP and 24 hours proteinuria analysis were significantly lower in CoQ10 group, CoQ10 combined CM group and CM group than that in DW group on day 21 of gestation (P<0.05). (2) Liver function: among CoQ10 group, CoQ10 combined CM group, CM group, DW group and NP group, serum levels of ALT were respectively (52±7) , (34±9) , (49±10) , (70±19) , (30±7) U/L; and serum levels of AST were respectively (169±25) , (84±11) , (159±20) , (281±26) and (78±18) U/L. ALT and AST serum levels were significantly higher in CoQ10 group, CM group and DW group than that in NP group (P<0.05). ALT and AST serum levels were significant lower in CoQ10 combined CM group than those in CoQ10 group, CM group and DW group, respectively (P<0.05). ALT and AST serum levels were significant lower in CoQ10 group and CM group than that in DW group, respectively (P<0.05). (3) SOD, GSH-PX, MDA, caspase-3, Bcl-2 and Bax expression in liver tissue of rats: SOD expression was significant higher in CoQ10 group, CoQ10 combined CM group than thoes in CM group, DW group and NP group (P<0.05) ; SOD expression was significant lower in CM group, DW grouo than thoes in NP group (P<0.05) ; and SOD expression was significant higher in CM group than that in DW group (P<0.05) . Compared with CoQ10 group, CoQ10 combined CM group, CW group and DW group respectively, the GSH-PX and Bcl-2 protein expressions were significant higher in NP group (P<0.05) , while MDA, caspase-3 and Bax protein expressions were significant lower in NP group (P<0.05) ; compared with CoQ10 group, CoQ10 combined CM group and CW group respectively, the GSH-PX and Bcl-2 protein expressions were significant lower in DW group (P<0.05) , while MDA, caspase-3 and Bax protein expressions were significant higher in DW group (P<0.05) . CONCLUSIONS Oxidative stress and apoptosis levles were upregulated in PE pregnant liver tissues. CoQ10 could effectively protect the liver by improving the liver functions and decreasing the apoptosis of liver cells in PE pregnant rats, and markedly decrease the oxidative stress and apoptosis in the livers. The protective roles of CoQ10 in liver might through its function of anti-oxidative stress and inhibiting cell apoptosis by regulating the balance of Bcl-2/Bax.
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Affiliation(s)
- S H Lin
- Department of Obstetrics and Gynecology, Fujian Maternity and Children Health Hospital, Fuzhou 350004, China
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Abstract
An association between Epstein-Barr virus (EBV) infection and systemic lupus erythematosus (SLE) has been suggested from previous serologic evidence. Since most adults in Taiwan are EBV-infected, seroepidemiologic studies based on standard assays for EBV are unlikely to dissociate SLE patients and control groups. We reexamine this question by using novel methodologies in which IgA anti-EBV-coded nuclear antigens-1 (EBNA-1) and IgG anti-EBV DNase antibodies were analysed by ELISA, and EBV viral loads were detected by real-time quantitative PCR for 93 adult SLE patients and 370 age-, sex- and living place-matched healthy controls in Taiwan. The specificities of antibodies for extractible nuclear antigens were determined by Western blot. Our results show that IgA anti-EBV EBNA1 antibodies were detectable in 31.2% SLE patients but only in 4.1% of controls (odds ratio [OR] = 10.72, 95% confidence interval [CI] = 5.19–22.35; P < 10-7), IgG anti-EBV DNase antibodies were detected in 53.8% SLE patients but only in 12.2% controls (OR = 8.40, 95% CI = 4.87–14.51; P < 10-7). EBV DNA was amplifiable from the sera of 41.9% SLE patients but from only 3.24% controls ( P < 0.05). A significant association of IgG anti-EBV DNase antibodies with anti-Sm/RNP antibodies was observed ( P < 0.005). The higher seroreactivity and higher copy numbers of EBV genome indicated association of EBV infection with SLE in Taiwan.
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MESH Headings
- Adrenal Cortex Hormones/administration & dosage
- Adrenal Cortex Hormones/therapeutic use
- Adult
- Antibodies, Viral/blood
- Asian People
- Autoantigens/immunology
- DNA, Viral/blood
- Deoxyribonucleases/immunology
- Dose-Response Relationship, Drug
- Epstein-Barr Virus Infections/complications
- Epstein-Barr Virus Nuclear Antigens/immunology
- Genome, Viral
- Herpesvirus 4, Human/enzymology
- Herpesvirus 4, Human/genetics
- Humans
- Immunoglobulin A/blood
- Immunoglobulin G/blood
- Lupus Erythematosus, Systemic/blood
- Lupus Erythematosus, Systemic/drug therapy
- Lupus Erythematosus, Systemic/immunology
- Lupus Erythematosus, Systemic/virology
- Middle Aged
- Ribonucleoproteins, Small Nuclear/immunology
- Taiwan
- Viral Load
- snRNP Core Proteins
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Affiliation(s)
- J J Y Lu
- National Taichung Nursing College, Taichung, Taiwan
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Liu J, Xiao HT, Wang HS, Mu HX, Zhao L, Du J, Yang D, Wang D, Bian ZX, Lin SH. Halofuginone reduces the inflammatory responses of DSS-induced colitis through metabolic reprogramming. Mol BioSyst 2016; 12:2296-2303. [DOI: 10.1039/c6mb00154h] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
Halofuginone inhibits both HIF-1alpha and incomplete FAO to reduce the inflammatory response in DSS-induced colitis.
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Affiliation(s)
- Jing Liu
- School of Pharmaceutical Sciences
- Sun Yat-Sen University
- Guangzhou 510006
- China
- School of Chinese Medicine
| | - Hai-Tao Xiao
- School of Chinese Medicine
- Hong Kong Baptist University
- China
- School of Pharmacy
- Guizhou Medicial University
| | - Hong-Sheng Wang
- School of Pharmaceutical Sciences
- Sun Yat-Sen University
- Guangzhou 510006
- China
| | - Huai-Xue Mu
- School of Chinese Medicine
- Hong Kong Baptist University
- China
| | - Ling Zhao
- School of Chinese Medicine
- Hong Kong Baptist University
- China
| | - Jun Du
- School of Pharmaceutical Sciences
- Sun Yat-Sen University
- Guangzhou 510006
- China
| | - Depo Yang
- School of Pharmaceutical Sciences
- Sun Yat-Sen University
- Guangzhou 510006
- China
| | - Dongmei Wang
- School of Pharmaceutical Sciences
- Sun Yat-Sen University
- Guangzhou 510006
- China
| | | | - Shu-Hai Lin
- School of Chinese Medicine
- Hong Kong Baptist University
- China
- Department of Biochemistry and Molecular Cell Biology
- Shanghai Key Laboratory for Tumor Microenvironment and Inflammation
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Zheng RN, You ZJ, Lin SH, Jia J, Cai YM, Liu C, Han S, Wang SM. Efficacy of percutaneous radiofrequency ablation for the treatment of hepatocellular carcinoma. Genet Mol Res 2015; 14:17982-94. [PMID: 26782445 DOI: 10.4238/2015.december.22.24] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
In this study, we sought to evaluate the efficacy of transcatheter arterial chemoembolization (TACE) plus radiofrequency ablation (RFA; experimental group) versus RFA treatment (control group) in patients receiving palliative treatment for hepatocellular carcinoma. To summarize the available evidence, we used the Review Manager 5.1 software to perform a meta-analysis of English-language articles published in public databases prior to 2014. Based on 6 studies that met the inclusion criteria, a total of 531 (experimental group, 272; control group, 259) patients with hepatocellular carcinoma were included in the meta-analysis. The meta-analysis demonstrated that the experimental group had a higher 3-year survival rate [risk ratios (RRs) = 1.41; 95% confidence interval (CI) = 1.03-1.94; P < 0.05] and a higher 2-year survival rate (RR = 1.11; 95%CI = 1.01-1.23; P < 0.05) than the control group. In the overall meta-analysis, the overall RRs were 2.02 (95%CI = 1.40-2.91; P < 0.05) and 1.63 (95%CI = 1.06-2.51; P < 0.05) for 3- and 5-year recurrence-free survival, respectively. Furthermore, the overall meta-analysis showed an overall RR of 0.75 (95%CI = 0.60-0.93; P < 0.05) for the incidence of tumor progression and an overall RR of 1.19 (95%CI = 0.33-4.33; P > 0.05) for the major complication rate. In a sensitivity analysis, the above mentioned meta-analytic estimates were unchanged by the removal of 1 study at a time. The meta-analysis suggested that the experimental group had a higher survival rate, a higher recurrence-free survival rate, and a lower incidence of tumor progression than the corresponding control group.
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Affiliation(s)
- R N Zheng
- Department of Oncology, Dongguan People's Hospital, Dongguan, China.,Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Z J You
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - S H Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - J Jia
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Y M Cai
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - C Liu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - S Han
- Department of General Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - S M Wang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Hu DD, Han QB, Zhong LLD, Li YH, Lin CY, Ho HM, Zhang M, Lin SH, Zhao L, Huang T, Mi H, Tan HS, Xu HX, Bian ZX. Simultaneous determination of ten compounds in rat plasma by UPLC-MS/MS: Application in the pharmacokinetic study of Ma-Zi-Ren-Wan. J Chromatogr B Analyt Technol Biomed Life Sci 2015; 1000:136-46. [DOI: 10.1016/j.jchromb.2015.07.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 06/04/2015] [Accepted: 07/03/2015] [Indexed: 10/23/2022]
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Mineo H, Niu YL, Kuo JL, Lin SH, Fujimura Y. Quantum-mechanical approach to predissociation of water dimers in the vibrational adiabatic representation: Importance of channel interactions. J Chem Phys 2015; 143:084303. [PMID: 26328839 DOI: 10.1063/1.4927236] [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: 11/14/2022] Open
Abstract
The results of application of the quantum-mechanical adiabatic theory to vibrational predissociation (VPD) of water dimers, (H2O)2 and (D2O)2, are presented. We consider the VPD processes including the totally symmetric OH mode of the dimer and the bending mode of the fragment. The VPD in the adiabatic representation is induced by breakdown of the vibrational adiabatic approximation, and two types of nonadiabatic coupling matrix elements are involved: one provides the VPD induced by the low-frequency dissociation mode and the other provides the VPD through channel interactions induced by the low-frequency modes. The VPD rate constants were calculated using the Fermi golden rule expression. A closed form for the nonadiabatic transition matrix element between the discrete and continuum states was derived in the Morse potential model. All of the parameters used were obtained from the potential surfaces of the water dimers, which were calculated by the density functional theory procedures. The VPD rate constants for the two processes were calculated in the non-Condon scheme beyond the so-called Condon approximation. The channel interactions in and between the initial and final states were taken into account, and those are found to increase the VPD rates by 3(1) orders of magnitude for the VPD processes in (H2O)2 ((D2O)2). The fraction of the bending-excited donor fragments is larger than that of the bending-excited acceptor fragments. The results obtained by quantum-mechanical approach are compared with both experimental and quasi-classical trajectory calculation results.
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Affiliation(s)
- H Mineo
- Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
| | - Y L Niu
- Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - J L Kuo
- Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei 106, Taiwan
| | - S H Lin
- Department of Applied Chemistry, Institute of Molecular Science and Center for Interdisciplinary Molecular Science, National Chiao-Tung University, Shin-Chu 300, Taiwan
| | - Y Fujimura
- Department of Applied Chemistry, Institute of Molecular Science and Center for Interdisciplinary Molecular Science, National Chiao-Tung University, Shin-Chu 300, Taiwan
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Chen GM, Ding RF, Tan YD, Pan XB, Jiang GM, He JF, Lin SH, Liu C, Jia Y. Role of the CKIP1 gene in proliferation and apoptosis of the human lung cancer cell line H1299. Genet Mol Res 2015; 14:4005-14. [PMID: 25966172 DOI: 10.4238/2015.april.27.15] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Casein kinase 2 interacting protein 1 (CKIP1) is a specific interacting protein of the casein kinase 2 (CK2) α subunit, and, by binding CK2 and other proteins, functions as an adaptor to regulate a series of cellular functions. Previous studies suggested that CKIP1 might play an important role in regulating oncogenic activities. However, few studies examining the function of CKIP1 in cancer cells have been performed. The present study aimed to investigate the role of CKIP1 in lung cancer. CKIP1 mRNA expression was detected in 5 human lung cancer cell lines (H-125, H1299, LTEP-A-2, SPC-A-1, and NCL-H446) by semi-quantitative RT-PCR, and in 10 noncancerous lung tissues and 30 non-small lung cancer tissues by real-time quantitative PCR. A lentivirus-mediated small interfering RNA (siRNA) was used to knock down CKIP1 expression in the H1299 cell line. To elucidate the impact of CKIP1 downregulation on H1299 cells, cell proliferation, DNA synthesis, and cell cycle distribution and apoptosis were measured by high content screening assay, BrdU incorporation, and flow cytometric analyses, respectively. CKIP1 mRNA was highly expressed both in H1299 cells and lung cancer tissues. We found that downregulation of CKIP1 resulted in suppression of proliferation and colony-forming ability of H1299 cells, and led to S phase cell cycle arrest and G2 phase promotion, as well as a significant enhancement of H1299 cell apoptosis. Our study indicated that high expression levels of CKIP1 were associated with the development of lung cancer, and that CKIP1 knockdown may block tumor cell growth mainly by promoting cell apoptosis.
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Affiliation(s)
- G M Chen
- Surgical Department, Dongguan People's Hospital, Dongguan City, China
| | - R F Ding
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan City, China
| | - Y D Tan
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan City, China
| | - X B Pan
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan City, China
| | - G M Jiang
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan City, China
| | - J F He
- Pathology Department, Dongguan People's Hospital, Dongguan City, China
| | - S H Lin
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan City, China
| | - C Liu
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan City, China
| | - Y Jia
- Department of Medical Oncology, Dongguan People's Hospital, Dongguan City, China
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Peng XD, Huang SL, Lin SH. First Report of Corn Kernel Brown Spot Disease Caused by Mucor irregularis in China. Plant Dis 2015; 99:159. [PMID: 30699779 DOI: 10.1094/pdis-08-14-0814-pdn] [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] [Indexed: 06/09/2023]
Abstract
In October 2012, a brown spot disease was found on corn kernels during a field survey in Nanyang city (33°01' N, 112°29' E), China. The incidences of affected ears and kernels were 2 to 10% (n = 600) and 0.08 to 0.4% (n = 25,000), respectively. Symptoms first appeared as circular or irregular brown spots on the endosperm. These spots subsequently enlarged or coalesced, resulting in the formation of a large light-brown or light-yellow irregular speckle commonly surrounded by a dark-brown edge. Pure fungal cultures with similar morphological characteristics were obtained from surface-disinfected symptomatic kernels using a conventional method for isolation of culturable microbes. The isolated fungal cultures were purified by single-spore isolation (3). A representative isolate F1 was randomly selected, used for pathogenicity tests, and identified using morphological and molecular methods. Colonies on PDA were circular with abundant villiform aerial mycelia. The color of colonies was white-gray at first and turned to light yellow or became ochraceous after 3 days of incubation at 28°C. Hyphae were hyaline and less septate, with rectangular branches. Sporangiophores were erect and unbranched or branched, with globose sporangia formed on their tips. Sporangiospores were elliptical to round, 3.6 to 7.3 × 1.6 to 3.7 μm (n = 100) in size. Two gene regions were amplified for multilocus sequence typing. The D1/D2 region of the nuclear large subunit ribosomal RNA gene (nucLSU) was amplified with primers NL1 and NL4 and the rDNA internal transcribed spacer (ITS) with primers ITS1 and ITS4. PCR products were purified using an Axygen nucleic acid purification kit for sequencing. Both rDNA D1/D2 and rDNA-ITS sequences were submitted to GenBank with accession numbers KM093834 and KM203872, respectively. The isolate F1 showed 98% identity with two isolates of Mucor irregularis (KC524427 and KC461926) in rDNA-ITS sequences and 99% identity with multiple isolates (JX976221, JX976203, and JX976219) of M. irregularis in rDNA D1/D2 sequences. Pathogenicity tests of isolate F1 were conducted based on Koch's postulates. Thirty kernels of fresh ears (milk stage) were pricked by sterilized toothpicks and separately inoculated with a sporangiospore suspension (1 × 106 spores/ml) and 5-day-old mycelial plugs (5 × 5 mm) of isolate F1. Kernels on ears that were inoculated with sterilized water and pure PDA plugs were separately used as controls. After 7 days of incubation, brown spot symptoms developed on the F1-inoculated kernels, which were similar to those observed on the naturally infected ears from the field samples. The control ears remained symptomless during the inoculation tests. Fungal cultures showing the same morphological characteristics as those of isolate F1 were consistently recovered from the diseased cobs inoculated by isolate F1, indicating that M. irregularis was responsible for corn kernel brown spot disease. M. irregularis was reported as a pathogen causing human skin diseases in China (5), America (1), and India (2) and as a phytopathogen causing fruit rot on durian (4). This is the first report of M. irregularis causing corn kernel brown spot disease in China. References: (1) M. M. Abuali et al. J. Clin. Microbiol. 47:4176, 2009. (2) B. M. Hemashettar et al. J. Clin. Microbiol. 49:2372, 2011. (3) S. L. Huang and K. Kohmoto. Bull. Fac. Agric., Tottori Univ. 44:1, 1991. (4) W. F. Wang et al. Plant Quarant. l23:60, 2009. (5) Y. Zhao et al. Mycopathologia 168:243, 2009.
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Affiliation(s)
- X D Peng
- School of Life Science and Technology, Nanyang Normal University, 473061 Nanyang, China
| | - S L Huang
- School of Life Science and Technology, Nanyang Normal University, 473061 Nanyang, China
| | - S H Lin
- Sugarcane Research Institute, Guangxi Academy of Agricultural Sciences, 530007 Nanning, China
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Lai YC, Yu SC, Rafailov PM, Vlaikova E, Valkov S, Petrov S, Koprinarova J, Terziyska P, Marinova V, Lin SH, Yu P, Chi GC, Dimitrov D, Gospodinov MM. Chemical vapour deposition growth of graphene layers on metal substrates. ACTA ACUST UNITED AC 2014. [DOI: 10.1088/1742-6596/558/1/012059] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [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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Lin SH, Fang X, Zhang HJ, Qian C, Ma BH, Wang H, Li XX, Zhang XZ, Sun LT, Zhang ZM, Yuan P, Zhao HW. Study on a negative hydrogen ion source with hot cathode arc discharge. Rev Sci Instrum 2014; 85:02B120. [PMID: 24593560 DOI: 10.1063/1.4847275] [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] [Indexed: 06/03/2023]
Abstract
A negative hydrogen (H(-)) ion source with hot cathode arc discharge was designed and fabricated as a primary injector for a 10 MeV PET cyclotron at IMP. 1 mA dc H(-) beam with ɛ N, RMS = 0.08 π mm mrad was extracted at 25 kV. Halbach hexapole was adopted to confine the plasma. The state of arc discharge, the parameters including filament current, arc current, gas pressure, plasma electrode bias, and the ratio of I(e(-))/I(H(-)) were experimentally studied. The discussion on the result, and opinions to improve the source were given.
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Affiliation(s)
- S H Lin
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - X Fang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - H J Zhang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - C Qian
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - B H Ma
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - H Wang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - X X Li
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - X Z Zhang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - L T Sun
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - Z M Zhang
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - P Yuan
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
| | - H W Zhao
- Institute of Modern Physics (IMP), Chinese Academy of Sciences, Lanzhou 730000, People's Republic of China
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Abstract
Pepper (Capsicum annuum L.) is an important vegetable crop worldwide. Some Fusarium species can cause pepper fruit rot, leading to significant yield losses of pepper production and, for some Fusarium species, potential risk of mycotoxin contamination. A total of 106 diseased pepper fruit samples were collected from various pepper cultivars from seven provinces (Gansu, Hainan, Heilongjiang, Hunan, Shandong, Shanghai, and Zhejiang) in China during the 2012 growing season, where pepper production occurs on approximately 25,000 ha. Pepper fruit rot symptom incidence ranged from 5 to 20% in individual fields. Symptomatic fruit tissue was surface-sterilized in 0.1% HgCl2 for 1 min, dipped in 70% ethanol for 30 s, then rinsed in sterilized distilled water three times, dried, and plated in 90 mm diameter petri dishes containing potato dextrose agar (PDA). After incubation for 5 days at 28°C in the dark, putative Fusarium colonies were purified by single-sporing. Forty-three Fusarium strains were isolated and identified to species as described previously (1,2). Morphological characteristics of one strain were identical to those of F. concentricum. Aerial mycelium was reddish-white with an average growth rate of 4.2 to 4.3 mm/day at 25°C in the dark on PDA. Pigments in the agar were formed in alternating red and orange concentric rings. Microconidia were 0- to 1-septate, mostly 0-septate, and oval, obovoid to allantoid. Macroconidia were relatively slender with no significant curvature, 3- to 5-septate, with a beaked apical cell and a foot-shaped basal cell. To confirm the species identity, the partial TEF gene sequence (646 bp) was amplified and sequenced (GenBank Accession No. KC816735). A BLASTn search with TEF gene sequences in NCBI and the Fusarium ID databases revealed 99.7 and 100% sequence identity, respectively, to known TEF sequences of F. concentricum. Thus, both morphological and molecular criteria supported identification of the strain as F. concentricum. This strain was deposited as Accession MUCL 54697 (http://bccm.belspo.be/about/mucl.php). Pathogenicity of the strain was confirmed by inoculating 10 wounded, mature pepper fruits that had been harvested 70 days after planting the cultivar Zhongjiao-5 with a conidial suspension (1 × 106 spores/ml), as described previously (3). A control treatment consisted of inoculating 10 pepper fruits of the same cultivar with sterilized distilled water. The fruit were incubated at 25°C in a moist chamber, and the experiment was repeated independently in triplicate. Initially, green to dark brown lesions were observed on the outer surface of inoculated fruit. Typical soft-rot symptoms and lesions were observed on the inner wall when the fruit were cut open 10 days post-inoculation. Some infected seeds in the fruits were grayish-black and covered by mycelium, similar to the original fruit symptoms observed at the sampling sites. The control fruit remained healthy after 10 days of incubation. The same fungus was isolated from the inoculated infected fruit using the method described above, but no fungal growth was observed from the control fruit. To our knowledge, this is the first report of F. concentricum causing a pepper fruit rot. References: (1) J. F. Leslie and B. A. Summerell. The Fusarium Laboratory Manual. Blackwell Publishing, Ames, IA, 2006. (2) K. O'Donnell et al. Proc. Nat. Acad. Sci. USA 95:2044, 1998. (3) Y. Yang et al. 2011. Int. J. Food Microbiol. 151:150, 2011.
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Affiliation(s)
- J H Wang
- Institute for Agri-Food Standards and Testing Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, P. R. China. Funding provided by the Shanghai Agriculture Commission (2011NO. 4-3)
| | - Z H Feng
- Institute for Agri-Food Standards and Testing Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, P. R. China. Funding provided by the Shanghai Agriculture Commission (2011NO. 4-3)
| | - Z Han
- Institute for Agri-Food Standards and Testing Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, P. R. China. Funding provided by the Shanghai Agriculture Commission (2011NO. 4-3)
| | - S Q Song
- Institute for Agri-Food Standards and Testing Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, P. R. China. Funding provided by the Shanghai Agriculture Commission (2011NO. 4-3)
| | - S H Lin
- Institute for Agri-Food Standards and Testing Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, P. R. China. Funding provided by the Shanghai Agriculture Commission (2011NO. 4-3)
| | - A B Wu
- Institute for Agri-Food Standards and Testing Technology, Laboratory of Quality and Safety Risk Assessment for Agro-Products (Shanghai), Ministry of Agriculture, Shanghai Academy of Agricultural Sciences, 1000 Jinqi Road, Shanghai 201403, P. R. China. Funding provided by the Shanghai Agriculture Commission (2011NO. 4-3)
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Cheedella NKS, Suzuki A, Xiao L, Hofstetter WL, Maru DM, Taketa T, Sudo K, Blum MA, Lin SH, Welch J, Lee JH, Bhutani MS, Rice DC, Vaporciyan AA, Swisher SG, Ajani JA. Association between clinical complete response and pathological complete response after preoperative chemoradiation in patients with gastroesophageal cancer: analysis in a large cohort. Ann Oncol 2012; 24:1262-6. [PMID: 23247658 DOI: 10.1093/annonc/mds617] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Chemoradiation followed by surgery is the preferred treatment of localized gastroesophageal cancer (GEC). Surgery causes considerable life-altering consequences and achievement of clinical complete response (clinCR; defined as postchemoradiation [but presurgery] endoscopic biopsy negative for cancer and positron emission tomographic (PET) scan showing physiologic uptake) is an enticement to avoid/delay surgery. We examined the association between clinCR and pathologic complete response (pathCR). PATIENTS AND METHODS Two hundred eighty-four patients with GEC underwent chemoradiation and esophagectomy. The chi-square test, Fisher exact test, t-test, Kaplan-Meier method, and log-rank test were used. RESULTS Of 284 patients, 218 (77%) achieved clinCR. However, only 67 (31%) of the 218 achieved pathCR. The sensitivity of clinCR for pathCR was 97.1% (67/69), but the specificity was low (29.8%; 64/215). Of the 66 patients who had less than a clinCR, only 2 (3%) had a pathCR. Thus, the rate of pathCR was significantly different in patients with clinCR than in those with less than a clinCR (P < 0.001). CONCLUSIONS clinCR is not highly associated with pathCR; the specificity of clinCR for pathCR is too low to be used for clinical decision making on delaying/avoiding surgery. Surgery-eligible GEC patients should be encouraged to undergo surgery following chemoradiation despite achieving a clinCR.
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Affiliation(s)
- N K S Cheedella
- Department of Gastrointestinal Medical Oncology, Unit 426, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA
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Abstract
This paper proposes a face recognition system, based on probabilistic decision-based neural networks (PDBNN). With technological advance on microelectronic and vision system, high performance automatic techniques on biometric recognition are now becoming economically feasible. Among all the biometric identification methods, face recognition has attracted much attention in recent years because it has potential to be most nonintrusive and user-friendly. The PDBNN face recognition system consists of three modules: First, a face detector finds the location of a human face in an image. Then an eye localizer determines the positions of both eyes in order to generate meaningful feature vectors. The facial region proposed contains eyebrows, eyes, and nose, but excluding mouth (eye-glasses will be allowed). Lastly, the third module is a face recognizer. The PDBNN can be effectively applied to all the three modules. It adopts a hierarchical network structures with nonlinear basis functions and a competitive credit-assignment scheme. The paper demonstrates a successful application of PDBNN to face recognition applications on two public (FERET and ORL) and one in-house (SCR) databases. Regarding the performance, experimental results on three different databases such as recognition accuracies as well as false rejection and false acceptance rates are elaborated. As to the processing speed, the whole recognition process (including PDBNN processing for eye localization, feature extraction, and classification) consumes approximately one second on Sparc10, without using hardware accelerator or co-processor.
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Affiliation(s)
- S H Lin
- Dept. of Electr. Eng., Princeton Univ., NJ
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Ajani JA, Correa AM, Hofstetter WL, Rice DC, Blum MA, Suzuki A, Taketa T, Welsh J, Lin SH, Lee JH, Bhutani MS, Ross WA, Maru DM, Macapinlac HA, Erasmus J, Komaki R, Mehran RJ, Vaporciyan AA, Swisher SG. Clinical parameters model for predicting pathologic complete response following preoperative chemoradiation in patients with esophageal cancer. Ann Oncol 2012; 23:2638-2642. [PMID: 22831985 DOI: 10.1093/annonc/mds210] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Approximately 25% of patients with esophageal cancer (EC) who undergo preoperative chemoradiation, achieve a pathologic complete response (pathCR). We hypothesized that a model based on clinical parameters could predict pathCR with a high (≥60%) probability. PATIENTS AND METHODS We analyzed 322 patients with EC who underwent preoperative chemoradiation. All the patients had baseline and postchemoradiation positron emission tomography (PET) and pre- and postchemoradiation endoscopic biopsy. Logistic regression models were used for analysis, and cross-validation via the bootstrap method was carried out to test the model. RESULTS The 70 (21.7%) patients who achieved a pathCR lived longer (median overall survival [OS], 79.76 months) than the 252 patients who did not achieve a pathCR (median OS, 39.73 months; OS, P = 0.004; disease-free survival, P = 0.003). In a logistic regression analysis, the following parameters contributed to the prediction model: postchemoradiation PET, postchemoradiation biopsy, sex, histologic tumor grade, and baseline (EUS)T stage. The area under the receiver-operating characteristic curve was 0.72 (95% confidence interval [CI] 0.662-0.787); after the bootstrap validation with 200 repetitions, the bias-corrected AU-ROC was 0.70 (95% CI 0.643-0.728). CONCLUSION Our data suggest that the logistic regression model can predict pathCR with a high probability. This clinical model could complement others (biomarkers) to predict pathCR.
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Affiliation(s)
- J A Ajani
- Departments of Gastrointestinal Medical Oncology, Houston, USA.
| | - A M Correa
- Departments of Thoracic and Cardiovascular Surgery, Houston, USA
| | - W L Hofstetter
- Departments of Thoracic and Cardiovascular Surgery, Houston, USA
| | - D C Rice
- Departments of Thoracic and Cardiovascular Surgery, Houston, USA
| | - M A Blum
- Departments of Gastrointestinal Medical Oncology, Houston, USA
| | - A Suzuki
- Departments of Gastrointestinal Medical Oncology, Houston, USA
| | - T Taketa
- Departments of Gastrointestinal Medical Oncology, Houston, USA
| | - J Welsh
- Departments of Radiation Oncology, Houston, USA
| | - S H Lin
- Departments of Radiation Oncology, Houston, USA
| | - J H Lee
- Departments of Gastroenterology, Hepatology, and Nutrition, Houston, USA
| | - M S Bhutani
- Departments of Gastroenterology, Hepatology, and Nutrition, Houston, USA
| | - W A Ross
- Departments of Gastroenterology, Hepatology, and Nutrition, Houston, USA
| | - D M Maru
- Departments of Pathology, Houston, USA
| | | | - J Erasmus
- Departments of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, USA
| | - R Komaki
- Departments of Radiation Oncology, Houston, USA
| | - R J Mehran
- Departments of Thoracic and Cardiovascular Surgery, Houston, USA
| | - A A Vaporciyan
- Departments of Thoracic and Cardiovascular Surgery, Houston, USA
| | - S G Swisher
- Departments of Thoracic and Cardiovascular Surgery, Houston, USA
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