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Zhang H, Su W, Zhao R, Li M, Zhao S, Chen Z, Zhao H. Epigallocatechin-3-gallate improves the quality of maternally aged oocytes. Cell Prolif 2024; 57:e13575. [PMID: 38010042 PMCID: PMC10984106 DOI: 10.1111/cpr.13575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/15/2023] [Accepted: 10/31/2023] [Indexed: 11/29/2023] Open
Abstract
The decline in female fertility as age advances is intricately linked to the diminished developmental potential of oocytes. Despite this challenge, the strategies available to enhance the quality of aged oocytes remain limited. Epigallocatechin-3-gallate (EGCG), characterised by its anti-inflammatory, antioxidant and tissue protective properties, holds promise as a candidate for improving the quality of maternally aged oocytes. In this study, we explored the precise impact and underlying mechanisms of EGCG on aged oocytes. EGCG exhibited the capacity to enhance the quality of aged oocytes both in vitro and in vivo. Specifically, the application of EGCG in vitro resulted in noteworthy improvements, including an increased rate of first polar body extrusion, enhanced mitochondrial function, refined spindle morphology and a reduction in oxidative stress. These beneficial effects were further validated by the improved fertility observed among aged mice. In addition, our findings propose that EGCG might augment the expression of Arf6. This augmentation, in turn, contributes to the assembly of spindle-associated F-actin, which can contribute to mitigate the aneuploidy induced by the disruption of spindle F-actin within aged oocytes. This work thus contributes not only to understanding the role of EGCG in bolstering oocyte health, but also underscores its potential as a therapeutic intervention to address fertility challenges associated with advanced age.
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Affiliation(s)
- HongHui Zhang
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu SchoolNanjing Medical UniversityNanjingChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Wei Su
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - RuSong Zhao
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu SchoolNanjing Medical UniversityNanjingChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Mei Li
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - ShiGang Zhao
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Zi‐Jiang Chen
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive GeneticsShanghaiChina
- Center for Reproductive Medicine, Ren Ji Hospital, School of MedicineShanghai Jiao Tong UniversityShanghaiChina
| | - Han Zhao
- State Key Laboratory of Reproductive Medicine and Offspring HealthShandong UniversityJinanChina
- Key Laboratory of Reproductive Endocrinology of Ministry of EducationShandong UniversityJinanChina
- National Research Center for Assisted Reproductive Technology and Reproductive GeneticShandong UniversityJinanChina
- Research Unit of Gametogenesis and Health of ART‐Offspring, Chinese Academy of Medical Sciences (No.2021RU001)JinanChina
- Shandong Key Laboratory of Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
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Morris BA, Leal TA, Sethakorn N, Lang J, Schehr J, Zhao SG, Morris ZS, Buehler D, Eickhoff J, Harari PM, Traynor AM, Campbell T, Baschnagel AM, Bassetti MF. Treatment Efficacy Outcomes Combining Dual Checkpoint Immunotherapy with Ablative Radiation to All Sites of Oligometastatic Non-Small Cell Lung Cancer: Survival Analysis of a Phase IB trial. Int J Radiat Oncol Biol Phys 2023; 117:S128-S129. [PMID: 37784329 DOI: 10.1016/j.ijrobp.2023.06.475] [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) Aggressivelocal treatment to a limited number of metastatic sites in patients with oligometastatic NSCLC increases progression free survival (PFS) and overall survival (OS). Prior studies have shown the safety of combining high dose stereotactic body radiation therapy (SBRT) with single agent anti-PD1/PD-L1 therapy. Here, we report secondary survival endpoint outcomes from a phase Ib clinical trial investigating the safety of combining ablative, high dose radiation with dual checkpoint, anti-CTLA-4 and anti-PD-L1 immunotherapy for patients with oligometastatic NSCLC. MATERIALS/METHODS Patients with up to 6 sites of extracranial metastatic disease were eligible for trial enrollment. All sites of disease were treated with stereotactic body radiation therapy to a dose of 30 - 50 Gy in 5 fractions. Dual checkpoint immunotherapy was started 7 days following completion of radiation utilizing anti-CTLA-4 (Tremelimumab) and anti-PD-L1 (Durvalumab) immunotherapy for a total of four cycles followed by durvalumab alone until dose limiting toxicity or progression was observed. Primary toxicity outcomes were previously reported. Progression free and overall survival was analyzed using Kaplan Meier statistical methods. RESULTS Fifteen patients were treated with SBRT and received at least one dose of dual agent immunotherapy per protocol. The median follow up was 43 months. The median number of extracranial metastatic sites was 2. Seven patients had 3 or more sites of extracranial disease. The most commonly treated sites were separate metastatic pulmonary lesions or osseous metastatic lesions. Median progression free survival (PFS) was 42 months and median overall survival (OS) was 48 months. Seven patients remain alive without evidence of progressive disease. Prior history of brain metastases was associated with significantly worse PFS (Median PFS 4 months vs 42 months, HR 6.1 (95% CI 1.6 - 37.0) p = 0.0248), but no difference in OS (Median OS 24 vs 42 months, HR 1.9 (95% CI 0.3 - 10.4). CONCLUSION Ablative SBRT radiation to up to 6 sites of disease followed by dual checkpoint immunotherapy in oligometastatic NSCLC resulted in a favorable progression free survival (42 months) and overall survival (48 months) compared to historical controls. These findings suggest potential benefit to patient outcomes compared to immunotherapy or radiation alone in this patient population and warrant further investigation.
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Affiliation(s)
- B A Morris
- Department of Human Oncology, University of Wisconsin Carbone Cancer Center, Madison, WI
| | - T A Leal
- Emory University School of Medicine, Atlanta, GA
| | | | - J Lang
- Department of Medical Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - J Schehr
- University of Wisconsin School of Medicine and Public Health, Madison, WI
| | - S G Zhao
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - Z S Morris
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - D Buehler
- Department of Pathology and Laboratory Medicine, University of Wisconsin, Madison, WI
| | - J Eickhoff
- University of Wisconsin Madison, Madison, WI
| | - P M Harari
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - A M Traynor
- Department of Medical Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - T Campbell
- Department of Medical Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - A M Baschnagel
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
| | - M F Bassetti
- Department of Human Oncology, University of Wisconsin Hospitals and Clinics, Madison, WI
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Helzer KT, Sharifi MN, Sperger JM, Shi Y, Annala M, Bootsma ML, Reese SR, Taylor A, Kaufmann KR, Krause HK, Schehr JL, Sethakorn N, Kosoff D, Kyriakopoulos C, Burkard ME, Rydzewski NR, Yu M, Harari PM, Bassetti M, Blitzer G, Floberg J, Sjöström M, Quigley DA, Dehm SM, Armstrong AJ, Beltran H, McKay RR, Feng FY, O'Regan R, Wisinski KB, Emamekhoo H, Wyatt AW, Lang JM, Zhao SG. Fragmentomic analysis of circulating tumor DNA-targeted cancer panels. Ann Oncol 2023; 34:813-825. [PMID: 37330052 PMCID: PMC10527168 DOI: 10.1016/j.annonc.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 05/30/2023] [Accepted: 06/06/2023] [Indexed: 06/19/2023] Open
Abstract
BACKGROUND The isolation of cell-free DNA (cfDNA) from the bloodstream can be used to detect and analyze somatic alterations in circulating tumor DNA (ctDNA), and multiple cfDNA-targeted sequencing panels are now commercially available for Food and Drug Administration (FDA)-approved biomarker indications to guide treatment. More recently, cfDNA fragmentation patterns have emerged as a tool to infer epigenomic and transcriptomic information. However, most of these analyses used whole-genome sequencing, which is insufficient to identify FDA-approved biomarker indications in a cost-effective manner. PATIENTS AND METHODS We used machine learning models of fragmentation patterns at the first coding exon in standard targeted cancer gene cfDNA sequencing panels to distinguish between cancer and non-cancer patients, as well as the specific tumor type and subtype. We assessed this approach in two independent cohorts: a published cohort from GRAIL (breast, lung, and prostate cancers, non-cancer, n = 198) and an institutional cohort from the University of Wisconsin (UW; breast, lung, prostate, bladder cancers, n = 320). Each cohort was split 70%/30% into training and validation sets. RESULTS In the UW cohort, training cross-validated accuracy was 82.1%, and accuracy in the independent validation cohort was 86.6% despite a median ctDNA fraction of only 0.06. In the GRAIL cohort, to assess how this approach performs in very low ctDNA fractions, training and independent validation were split based on ctDNA fraction. Training cross-validated accuracy was 80.6%, and accuracy in the independent validation cohort was 76.3%. In the validation cohort where the ctDNA fractions were all <0.05 and as low as 0.0003, the cancer versus non-cancer area under the curve was 0.99. CONCLUSIONS To our knowledge, this is the first study to demonstrate that sequencing from targeted cfDNA panels can be utilized to analyze fragmentation patterns to classify cancer types, dramatically expanding the potential capabilities of existing clinically used panels at minimal additional cost.
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Affiliation(s)
- K T Helzer
- Department of Human Oncology, University of Wisconsin, Madison
| | - M N Sharifi
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - J M Sperger
- Department of Medicine, University of Wisconsin, Madison, USA
| | - Y Shi
- Department of Human Oncology, University of Wisconsin, Madison
| | - M Annala
- Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, Vancouver, Canada; Prostate Cancer Research Center, Faculty of Medicine and Health Technology, Tampere University and Tays Cancer Center, Tampere, Finland
| | - M L Bootsma
- Department of Human Oncology, University of Wisconsin, Madison
| | - S R Reese
- Department of Human Oncology, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - A Taylor
- Department of Medicine, University of Wisconsin, Madison, USA
| | - K R Kaufmann
- Department of Medicine, University of Wisconsin, Madison, USA
| | - H K Krause
- Department of Medicine, University of Wisconsin, Madison, USA
| | - J L Schehr
- Carbone Cancer Center, University of Wisconsin, Madison
| | - N Sethakorn
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - D Kosoff
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - C Kyriakopoulos
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - M E Burkard
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - N R Rydzewski
- Department of Human Oncology, University of Wisconsin, Madison
| | - M Yu
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison
| | - P M Harari
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - M Bassetti
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - G Blitzer
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - J Floberg
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison
| | - M Sjöström
- Department of Radiation Oncology, University of California San Francisco, San Francisco; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco
| | - D A Quigley
- Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco; Departments of Epidemiology and Biostatistics; Urology, University of California San Francisco, San Francisco
| | - S M Dehm
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - A J Armstrong
- Duke Cancer Institute Center for Prostate and Urologic Cancers, Department of Medicine, Duke University, Durham
| | - H Beltran
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston
| | - R R McKay
- Moores Cancer Center, University of California San Diego, La Jolla
| | - F Y Feng
- Department of Radiation Oncology, University of California San Francisco, San Francisco; Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco; Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis; Division of Hematology and Oncology, Department of Medicine, University of California San Francisco, San Francisco
| | - R O'Regan
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA; Department of Medicine, University of Rochester, Rochester, USA
| | - K B Wisinski
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - H Emamekhoo
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - A W Wyatt
- Department of Urologic Sciences, Vancouver Prostate Centre, University of British Columbia, Vancouver, Canada; Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, Canada
| | - J M Lang
- Carbone Cancer Center, University of Wisconsin, Madison; Department of Medicine, University of Wisconsin, Madison, USA
| | - S G Zhao
- Department of Human Oncology, University of Wisconsin, Madison; Carbone Cancer Center, University of Wisconsin, Madison; William S. Middleton Memorial Veterans' Hospital, Madison, USA.
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Fletcher CE, Deng L, Orafidiya F, Yuan W, Lorentzen MPGS, Cyran OW, Varela-Carver A, Constantin TA, Leach DA, Dobbs FM, Figueiredo I, Gurel B, Parkes E, Bogdan D, Pereira RR, Zhao SG, Neeb A, Issa F, Hester J, Kudo H, Liu Y, Philippou Y, Bristow R, Knudsen K, Bryant RJ, Feng FY, Reed SH, Mills IG, de Bono J, Bevan CL. A non-coding RNA balancing act: miR-346-induced DNA damage is limited by the long non-coding RNA NORAD in prostate cancer. Mol Cancer 2022; 21:82. [PMID: 35317841 PMCID: PMC8939142 DOI: 10.1186/s12943-022-01540-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 02/10/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND miR-346 was identified as an activator of Androgen Receptor (AR) signalling that associates with DNA damage response (DDR)-linked transcripts in prostate cancer (PC). We sought to delineate the impact of miR-346 on DNA damage, and its potential as a therapeutic agent. METHODS RNA-IP, RNA-seq, RNA-ISH, DNA fibre assays, in vivo xenograft studies and bioinformatics approaches were used alongside a novel method for amplification-free, single nucleotide-resolution genome-wide mapping of DNA breaks (INDUCE-seq). RESULTS miR-346 induces rapid and extensive DNA damage in PC cells - the first report of microRNA-induced DNA damage. Mechanistically, this is achieved through transcriptional hyperactivation, R-loop formation and replication stress, leading to checkpoint activation and cell cycle arrest. miR-346 also interacts with genome-protective lncRNA NORAD to disrupt its interaction with PUM2, leading to PUM2 stabilisation and its increased turnover of DNA damage response (DDR) transcripts. Confirming clinical relevance, NORAD expression and activity strongly correlate with poor PC clinical outcomes and increased DDR in biopsy RNA-seq studies. In contrast, miR-346 is associated with improved PC survival. INDUCE-seq reveals that miR-346-induced DSBs occur preferentially at binding sites of the most highly-transcriptionally active transcription factors in PC cells, including c-Myc, FOXA1, HOXB13, NKX3.1, and importantly, AR, resulting in target transcript downregulation. Further, RNA-seq reveals widespread miR-346 and shNORAD dysregulation of DNA damage, replication and cell cycle processes. NORAD drives target-directed miR decay (TDMD) of miR-346 as a novel genome protection mechanism: NORAD silencing increases mature miR-346 levels by several thousand-fold, and WT but not TDMD-mutant NORAD rescues miR-346-induced DNA damage. Importantly, miR-346 sensitises PC cells to DNA-damaging drugs including PARP inhibitor and chemotherapy, and induces tumour regression as a monotherapy in vivo, indicating that targeting miR-346:NORAD balance is a valid therapeutic strategy. CONCLUSIONS A balancing act between miR-346 and NORAD regulates DNA damage and repair in PC. miR-346 may be particularly effective as a therapeutic in the context of decreased NORAD observed in advanced PC, and in transcriptionally-hyperactive cancer cells.
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Affiliation(s)
- C E Fletcher
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK.
| | - L Deng
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - F Orafidiya
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - W Yuan
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - M P G S Lorentzen
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - O W Cyran
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - A Varela-Carver
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - T A Constantin
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - D A Leach
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
| | - F M Dobbs
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK
- Broken String Biosciences, Unit AB303, Level 3, BioData Innovation Centre, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - I Figueiredo
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - B Gurel
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - E Parkes
- Institute for Radiation Oncology, Department of Oncology, University of Oxford, London, UK
| | - D Bogdan
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - R R Pereira
- Translational Oncogenomics, Manchester Cancer Research Centre and Cancer Research UK Manchester Institute, Manchester, UK
- Division of Cancer Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
| | - S G Zhao
- Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - A Neeb
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - F Issa
- Transplantation Research and Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - J Hester
- Transplantation Research and Immunology Group, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
| | - H Kudo
- Section of Pathology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Y Liu
- Veracyte, Inc., San Diego, CA, USA
| | - Y Philippou
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - R Bristow
- Translational Oncogenomics, Manchester Cancer Research Centre and Cancer Research UK Manchester Institute, Manchester, UK
- Division of Cancer Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK
- Christie NHS Foundation Trust, Manchester, UK
| | - K Knudsen
- Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA, USA
- American Cancer Society and American Cancer Society Cancer Action Network, Washington DC, USA
| | - R J Bryant
- Institute for Radiation Oncology, Department of Oncology, University of Oxford, London, UK
| | - F Y Feng
- Departments of Urology and Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | - S H Reed
- Division of Cancer and Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff, UK
| | - I G Mills
- Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, UK
- Patrick G Johnston Centre for Cancer Research, Queen's University of Belfast, Belfast, UK
- Centre for Cancer Biomarkers, University of Bergen, Bergen, Norway
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - J de Bono
- Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - C L Bevan
- Imperial Centre for Translational and Experimental Medicine, Department of Surgery & Cancer, Imperial College London, London, UK
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Zhao SG, Shi HZ, Yang G, Gao C, Wang XX, Guan X, Luan R. [Management strategy for neurosurgical emergency admission in the context of coronavirus disease 2019]. Zhonghua Yi Xue Za Zhi 2021; 100:3747-3750. [PMID: 33379836 DOI: 10.3760/cma.j.cn112137-20200812-02361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- S G Zhao
- Department of Neurosurgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - H Z Shi
- Department of Neurosurgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - G Yang
- Department of Neurosurgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - C Gao
- Department of Neurosurgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - X X Wang
- Department of Neurosurgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - X Guan
- Infection Control Office, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - R Luan
- Medical Department, the First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
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Gao XY, Liu Y, Lv Y, Huang T, Lu G, Liu HB, Zhao SG. Role of Androgen Receptor for Reconsidering the "True" Polycystic Ovarian Morphology in PCOS. Sci Rep 2020; 10:8993. [PMID: 32488141 PMCID: PMC7265442 DOI: 10.1038/s41598-020-65890-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 02/12/2020] [Accepted: 05/12/2020] [Indexed: 11/21/2022] Open
Abstract
Purpose: Polycystic ovarian morphology (PCOM) is one of the key features of polycystic ovary syndrome (PCOS). The diagnosis of PCOM according to the Rotterdam criteria (≥12 antral follicles per ovary) is debated because of the high prevalence of PCOM in the general population. Androgen receptor (AR) is associated with the PCOS phenotype and might as well play a role during folliculogenesis. This study is aimed to investigate the expression of the AR in PCOS granulosa cells (GCs) and its relationship with the PCOM phenotype. Methods: 106 PCOS cases and 63 controls were included from the Center for Reproductive Medicine, Shandong University. The diagnosis of PCOS was following the Rotterdam criteria (2003). Total RNA was extracted from GCs retrieved from ovarian stimulation. The expression of AR was amplified by means of quantitative real-time polymerase chain reaction. Results: The AR expression was significantly decreased in PCOS cases, especially in the tPCOM subgroup (≥20 antral follicles per ovary). Correlation analyses showed that AR expression was significantly correlated with serum FSH levels in controls and non-tPCOM. In the tPCOM subgroup, the AR expression was significantly correlated with serum LH levels. Interestingly, the significance of these correlations gradually disappeared as the threshold of antral follicles increased above 24 for PCOM. Conclusions:AR was differently expressed in PCOS and especially in the tPCOM subtype. The correlation of AR expression with serum FSH and LH might be associated with the number of follicles in PCOM.
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Affiliation(s)
- Xue-Ying Gao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China
| | - Yue Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China
| | - Yue Lv
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.,School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.,CUHK-SDU Joint Laboratory on Reproductive Genetics, Faculty of Medicine, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Tao Huang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China
| | - Gang Lu
- CUHK-SDU Joint Laboratory on Reproductive Genetics, Faculty of Medicine, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Hong-Bin Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, 250012, China.,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China
| | - Shi-Gang Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250012, China. .,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, Shandong, 250012, China. .,Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, Shandong, 250012, China.
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Chang MN, Wei JY, Hao LY, Ma FT, Li HY, Zhao SG, Sun P. Effects of different types of zinc supplement on the growth, incidence of diarrhea, immune function, and rectal microbiota of newborn dairy calves. J Dairy Sci 2020; 103:6100-6113. [PMID: 32307167 DOI: 10.3168/jds.2019-17610] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 02/17/2020] [Indexed: 12/17/2022]
Abstract
Neonatal diarrhea in dairy calves causes huge economic and productivity losses in the dairy industry. Zinc is an effective anti-diarrheal agent, but high doses may pose a threat to the environment. Therefore, we aimed to evaluate the effects of low-dose zinc supplementation on the growth, incidence of diarrhea, immune function, and rectal microbiota of newborn Holstein dairy calves. Thirty newborn calves were allocated to either a control group (without extra zinc supplementation), or groups supplemented with either 104 mg of zinc oxide (ZnO, equivalent to 80 mg of zinc/d) or 457 mg of zinc methionine (Zn-Met, equivalent to 80 mg of zinc/d) and studied them for 14 d. The rectal contents were sampled on d 1, 3, 7, and 14, and blood samples were collected at the end of the study. Supplementation with ZnO reduced the incidence of diarrhea during the first 3 d of life, and increased serum IgG and IgM concentrations. The Zn-Met supplementation increased growth performance and reduced the incidence of diarrhea during the first 14 d after birth. The results of fecal microbiota analysis showed that Firmicutes and Proteobacteria were the predominant phyla, and Escherichia and Bacteroides were the dominant genera in the recta of the calves. As the calves grew older, rectal microbial diversity and composition significantly evolved. In addition, dietary supplementation with ZnO reduced the relative abundance of Proteobacteria in 1-d-old calves, and increased that of Bacteroidetes, Lactobacillus, and Faecalibacterium in 7-d-old calves, compared with the control group. Supplementation with Zn-Met increased the relative abundance of the phylum Actinobacteria and the genera Faecalibacterium and Collinsella on d 7, and that of the genus Ruminococcus after 2 wk, compared with the control group. Thus, the rectal microbial composition was not affected by zinc supplementation but significantly evolved during the calves' early life. Zinc supplementation reduced the incidence of diarrhea in young calves. In view of their differing effects, we recommend ZnO supplementation for dairy calves during their first 3 d of life and Zn-Met supplementation for the subsequent period. These findings suggest that zinc supplementation may be an alternative to antibacterial agents for the treatment of newborn calf diarrhea.
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Affiliation(s)
- M N Chang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
| | - J Y Wei
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
| | - L Y Hao
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
| | - F T Ma
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
| | - H Y Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
| | - S G Zhao
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
| | - P Sun
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China.
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Xu QB, Zhang YD, Zheng N, Wang Q, Li S, Zhao SG, Wen F, Meng L, Wang JQ. Short communication: Decrease of lipid profiles in cow milk by ultra-high-temperature treatment but not by pasteurization. J Dairy Sci 2019; 103:1900-1907. [PMID: 31785883 DOI: 10.3168/jds.2019-17329] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [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: 07/25/2019] [Accepted: 10/11/2019] [Indexed: 01/01/2023]
Abstract
Triglyceride (TG) and fatty acid profiles of raw (RM), pasteurized (PM, 85°C for 15 s), and indirect UHT-treated (UM, 135°C for 15 s) cow milk were investigated by a lipidomics approach. Ninety-four TG were identified and all were present at significantly lower concentrations in UM than in RM or PM, and free fatty acid contents were significantly higher in UM than in RM and PM, indicating that TG lipolysis occurred to a greater degree in UM than in RM and PM. In addition, UM contained significantly fewer unsaturated fatty acids (14 types) than those in RM and PM, including C14:1n-5, C15:1n-5, C16:1n-7, C17:1n-7, C18:1n9 cis, C18:2n-6 cis, C18:3n-3, C18:3n-6, C20:1, C20:2, C20:3n-6, C20:3n-3, C20:4n-6, and C20:5n-3. However, we detected no significant differences between RM and PM in these fatty acids. In conclusion, UHT treatment, but not pasteurization, caused loss of the nutritional quality and bioactivity of cow milk lipid profiles.
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Affiliation(s)
- Q B Xu
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Y D Zhang
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - N Zheng
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Q Wang
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - S Li
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - S G Zhao
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - F Wen
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - L Meng
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - J Q Wang
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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Li P, Zhang YD, Li SL, Wen F, Li HY, Zhao SG, Zheng N, Wang JQ. Determination of sulbactam in raw bovine milk by isotope dilution-ultra-high-performance liquid chromatography-tandem mass spectrometry. J Dairy Sci 2019; 102:9605-9610. [PMID: 31447144 DOI: 10.3168/jds.2018-16187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 01/21/2019] [Indexed: 11/19/2022]
Abstract
We developed a sensitive and selective isotope dilution ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the determination of sulbactam residue in raw bovine milk. Sulbactam and internal standard, sulbactam-d5, were extracted from raw bovine milk via liquid-liquid extraction and enriched with strong anion exchange solid-phase extraction cartridges and finally analyzed by using UPLC-MS/MS with multiple reaction monitoring mode. The method was validated according to European regulations. The calibration curve showed good linearity, with a correlation coefficient of 0.9998. Decision limit and detection capability of sulbactam were determined by matrix calibration curve and were 0.0445 and 0.0517 μg/L, respectively. The recoveries of sulbactam in fortified raw bovine milk ranged from 72.1 to 91.5%, with the intra- and interday relative standard deviations ranging from 3.0 to 18.9%. Furthermore, the developed method was applied to analyzing real raw bovine milk samples collected from dairy farms in Beijing, China. Sulbactam was not determined in all samples. The proposed method could ultimately serve as a methodological foundation for the determination of sulbactam in different types of raw milk and dairy products.
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Affiliation(s)
- P Li
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Y D Zhang
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S L Li
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - F Wen
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H Y Li
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S G Zhao
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - N Zheng
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
| | - J Q Wang
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
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Li M, Zhao H, Zhao SG, Wei DM, Zhao YR, Huang T, Muhammad T, Yan L, Gao F, Li L, Lu G, Chan WY, Leung PCK, Dunaif A, Liu HB, Chen ZJ. The HMGA2-IMP2 Pathway Promotes Granulosa Cell Proliferation in Polycystic Ovary Syndrome. J Clin Endocrinol Metab 2019; 104:1049-1059. [PMID: 30247605 PMCID: PMC6753588 DOI: 10.1210/jc.2018-00544] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 09/18/2018] [Indexed: 12/19/2022]
Abstract
CONTEXT The high mobility group AT hook 2 (HMGA2) gene was previously identified in a genome-wide association study as a candidate risk gene that might be related to polycystic ovary syndrome (PCOS). Whether HMGA2 contributes to promoting granulosa cell (GC) proliferation in PCOS remains unknown. OBJECTIVE We sought to determine whether HMGA2 is involved in the ovarian dysfunction of PCOS and in the mechanism of increased GC proliferation. PATIENTS AND CELLS mRNA expression was analyzed in ovarian GCs from 96 women with PCOS and 58 healthy controls. Immortalized human GCs (KGN and SVOG cells) were used for the mechanism study. MAIN OUTCOME MEASURES mRNA expression in ovarian GCs was measured using quantitative RT-PCR, and KGN cells were cultured for proliferation assays after overexpression or knockdown of target genes. Protein expression analysis, luciferase assays, and RNA binding protein immunoprecipitation assays were used to confirm the mechanism study. RESULTS HMGA2 and IGF2 mRNA binding protein 2 (IMP2) were highly expressed in the GCs of women with PCOS, and the HMGA2/IMP2 pathway promoted GC proliferation. Cyclin D2 and SERPINE1 mRNA binding protein 1 were regulated by IMP2 and were highly expressed in women with PCOS. CONCLUSIONS The HMGA2/IMP2 pathway was activated in women with PCOS and promoted the proliferation of GCs. This might provide new insights into the dysfunction of GCs in PCOS.
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Affiliation(s)
- Miao Li
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Han Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Shi-Gang Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Dai-Min Wei
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Yue-Ran Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Tao Huang
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Tahir Muhammad
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Lei Yan
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
| | - Fei Gao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Lei Li
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
- Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana
| | - Gang Lu
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
- CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, the Chinese University of Hong Kong, Hong Kong, China
| | - Wai-Yee Chan
- CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, the Chinese University of Hong Kong, Hong Kong, China
| | - Peter C K Leung
- Department of Obstetrics and Gynaecology, Child and Family Research Institute, University of British Columbia, Vancouver, Canada
| | | | - Hong-Bin Liu
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
- CUHK-SDU Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, the Chinese University of Hong Kong, Hong Kong, China
- Correspondence and Reprint Requests: Hong-Bin Liu, PhD, or Zi-Jiang Chen, MD, PhD, Center for Reproductive Medicine, Shandong University, No. 157 Jingliu Road, Jinan 250001, China. E-mail: or
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Shandong University, Jinan, China
- National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, China
- The Key Laboratory of Reproductive Endocrinology (Shandong University), Ministry of Education, Jinan, China
- Correspondence and Reprint Requests: Hong-Bin Liu, PhD, or Zi-Jiang Chen, MD, PhD, Center for Reproductive Medicine, Shandong University, No. 157 Jingliu Road, Jinan 250001, China. E-mail: or
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Sjöström M, Chang SL, Fishbane N, Davicioni E, Zhao SG, Hartman L, Holmberg E, Feng FY, Speers CW, Pierce LJ, Malmström P, Fernö M, Karlsson P. Abstract P5-12-01: A novel gene expression signature prognostic for both locoregional and distant failure and predictive for adjuvant radiotherapy. Cancer Res 2019. [DOI: 10.1158/1538-7445.sabcs18-p5-12-01] [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: 11/16/2022]
Abstract
Abstract
Background: Most patients with early stage breast cancer (BC) are treated with adjuvant radiotherapy (RT) following breast conserving surgery (BCS) to prevent locoregional recurrences (LRR). No predictive tools are currently available to select patients for RT, resulting in considerable over- and under treatment. We aimed to create and validate a gene expression-based classifier to prognosticate for LRR and to stratify patients for treatment with RT.
Patients and methods: A 27-gene expression signature was developed using three publicly available early stage BC gene expression datasets where patients were treated with RT and had detailed local recurrence information. The largest of the datasets was used to train the signature, and the other two datasets were used for signature refinement. As age was the strongest clinical factor for the endpoint in the training dataset, it was included in the model, resulting in a final clinical-genomic classifier of 27 genes and age. The classifier was locked before external validation in the SweBCG91-RT trial. This phase III clinical trial included primary tumors from 765 patients and for which gene expression data was available. The trial randomized node-negative BC patients to +/- RT following BCS, with sparse use of adjuvant systemic treatment (9%) and a median follow-up of 14.0 years for LRR in patients free from event. The classifier was validated using Cox regression with LRR as the primary endpoint, and hazard ratios (HRs) were calculated using the raw continuous classifier score (range: 0.5 to 2.5).
Results: The novel classifier was highly prognostic for LRR in SweBCG91-RT patients treated with RT (HR=7.5[3.3-16.9], p<0.001), and remained prognostic in multivariate analysis (MVA) that included systemic treatment, subtype and grade (HR=7.2[3.1-16.4], p<0.001). To a lesser extent, the classifier was also prognostic for LRR in patients not treated with RT (HR=1.9[1.0-3.5], p=0.03; MVA HR=1.9[1.0-3.3], p=0.05). Patients at high risk of LRR had a smaller effect of RT, and the treatment predictive potential was confirmed by testing for interaction (pinteraction=0.008). In patients treated with RT, age and the genomic component of the model were both prognostic for LRR (p<0.01) as well as predictive for RT response (pinteraction<0.05) and provided independent information (p<0.01). The combined classifier has increased performance over its individual components (10-year AUC=0.72, 0.67, 0.65 for the classifier, age, and genomic component, respectively). While the novel signature was prognostic for metastasis (HR=4.3[2.3-7.8], p<0.0001), calculated scores from previously published signatures to the metastasis endpoint, including the Oncotype-like score, were not prognostic for LRR.
Conclusions: This novel gene expression signature is highly prognostic for LRR, can identify patients at risk of LRR despite RT, and appears to be treatment predictive for adjuvant RT. Furthermore, the current signature is highly prognostic for metastasis. In contrast, calculated scores of previously published signatures modeled for the metastasis endpoint had inferior performance for LRR. These results underscore both the importance of signatures prognostic for LRR and the similarities in the biology of LRR and distant failure.
Citation Format: Sjöström M, Chang SL, Fishbane N, Davicioni E, Zhao SG, Hartman L, Holmberg E, Feng FY, Speers CW, Pierce LJ, Malmström P, Fernö M, Karlsson P. A novel gene expression signature prognostic for both locoregional and distant failure and predictive for adjuvant radiotherapy [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P5-12-01.
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Affiliation(s)
- M Sjöström
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - SL Chang
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - N Fishbane
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - E Davicioni
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - SG Zhao
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - L Hartman
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - E Holmberg
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - FY Feng
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - CW Speers
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - LJ Pierce
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - P Malmström
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - M Fernö
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
| | - P Karlsson
- Lund University, Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden; PFS Genomics, Vancouver, Canada; GenomeDx Biosciences, Vancouver, Canada; University of Michigan, Michigan, MI; Gothenburg University, Sahlgrenska Academy, Gothenburg, Sweden; University of California, San Francisco, San Francisco, CA
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Liu MJ, Sun AG, Zhao SG, Liu H, Ma SY, Li M, Huai YX, Zhao H, Liu HB. Resveratrol improves in vitro maturation of oocytes in aged mice and humans. Fertil Steril 2018; 109:900-907. [PMID: 29778389 DOI: 10.1016/j.fertnstert.2018.01.020] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 01/10/2018] [Accepted: 01/16/2018] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To evaluate the effects of resveratrol on oocyte maturation in aged mice and humans. DESIGN Experimental laboratory study. SETTING University-based reproductive medicine center. PATIENT(S) A total of 64 women 38-45 years of age undergoing intracytoplasmic sperm injection (ICSI) and 48-52-week-old female C57BL/6J mice. INTERVENTION(S) In vitro culture in the presence of three different concentrations of resveratrol (0.1, 1.0, and 10 μm) or dimethylsulfoxide. MAIN OUTCOME MEASURE(S) Parameters of oocyte nuclear maturation, fertilization, immunofluorescence intensity of mitochondria, and normal morphology of spindle and chromosome of oocytes undergoing in vitro maturation (IVM) in aged mice and humans; blastocyst formation and levels of SRIT1, CAT, SOD1, and GPX4 gene expressions in aged mice. RESULT(S) Resveratrol at 1.0 μm significantly increased first polar body emission rate in oocytes derived from aged mice and humans, and an increased percentage of fertilization and blastocyst formation was observed in aged mice. In addition, immunofluorescence intensity of mitochondria and normal morphology of spindle and chromosome of oocytes undergoing IVM were notably improved compared with control samples in aged mice and human. Furthermore, the use of resveratrol exhibited enhanced expression patterns of SRIT1, CAT, SOD1, and GPX4 in aged mice. CONCLUSION(S) Resveratrol induced oocyte maturation and blastocyst formation in aged mice, and improved oocyte maturation and quality was examined in aged humans. In conclusion, 1.0 μm resveratrol was the appropriate concentration in IVM medium.
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Affiliation(s)
- Mei-Ju Liu
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China; Key Laboratory of Reproductive Endocrinology, Shandong University, Jinan, People's Republic of China; National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Jinan, People's Republic of China; Department of Reproductive Medicine, Linyi People's Hospital, Linyi, People's Republic of China
| | - Ai-Gang Sun
- Department of Neurological Surgery, Linyi People's Hospital, Linyi, People's Republic of China
| | - Shi-Gang Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China
| | - Hui Liu
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China
| | - Shui-Ying Ma
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China
| | - Mei Li
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China
| | - Ying-Xue Huai
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China
| | - Han Zhao
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China
| | - Hong-Bin Liu
- Center for Reproductive Medicine, Shandong University, Jinan, People's Republic of China.
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13
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Song SZ, Wu JP, Zhao SG, Casper DP, He B, Liu T, Lang X, Gong XY, Liu LS. The effect of energy restriction on fatty acid profiles of longissimus dorsi and tissue adipose depots in sheep. J Anim Sci 2018; 95:3940-3948. [PMID: 28992034 DOI: 10.2527/jas2016.1235] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Sheep production systems in northwest China depend mostly on natural grasslands. Seasonal growth and maturity fluctuations can cause periodical restrictions in food quality and quantity. These fluctuations, in turn, result in variability in fat deposition and fatty acid profiles in different fat depots. Consequently, the study objective was to compare fat deposition, intramuscular fat (IMF) percentage and fatty acid profiles of the longissimus dorsi (LD), kidney fat (KF), tail fat (TF), and subcutaneous fat (SF) in lambs under ME restrictions similar to seasonal changes observed in the natural grasslands of northwest China. Nineteen male Dorper × Small Tailed Han lambs were assigned to 2 treatments, a control (CON) fed at 1.0 MJ / W × d and restricted (RES) by restricting ME sequentially every 30 d (0.56 MJ / W × d, 0.84 / W × d, 1.0 MJ / W × d, 0.84 MJ / W × d, 0.56 MJ / W × d, 0.28 MJ / W × d). All lambs were harvested at the end of the 180 d experimental period. Compared to CON fed lambs, restricting ME resulted in lesser IMF, fat deposition indexes ( < 0.05) except testicular and heart fat and greater ( < 0.05) SFA in LD, KF, and TF depots. The RES fed lambs had greater ( < 0.05) -3 PUFA, eicosatrienoic acid (C20:3n3), eicosapentaenoic acid (C20:5n3, EPA), and trans-linolelaidic acid (C18:2n6t) in LD muscle. The conjugated linoleic acids (CLA) content was greater in the SF depots of the CON fed lambs compared to the RES fed lambs. Fatty acid ratios (unsaturated fatty acid; USFA:SFA, MUFA:SFA, PUFA:SFA), and percentage USFA in RES fed lambs were lesser in muscle and adipose tissue compared to CON fed lambs ( < 0.05), except SF depots. In RES fed lambs, EFA were less ( < 0.05) in LD and KF depots and the ratios of functional fatty acids were lesser in LD and some adipose tissues ( < 0.05), including lesser n-6:n-3 in KF and SF ( < 0.05) depots, lesser USFA, SFA, MUFA, SFA in LD, KF, and TF ( < 0.05) depots, and lesser PUFA and SFA in LD and TF ( < 0.05) depots. Results from this research demonstrate that sequential energy restriction, as might be experience during seasonal forage quality and quantity changes in natural grasslands, result in lesser intramuscular fat with associated lesser quality, as well as, changes in fatty acid composition in different fat depots, which has implications for both meat quality and animal physiological functions.
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Wang Q, Huang T, Shu X, Zhao SG, Liang Y, Muhammad T, Gao F, Zhao H, Liu HB. Wilms’ Tumor 1 Overexpression in Granulosa Cells Is Associated with Polycystic Ovaries in Polycystic Ovary Syndrome Patients. Gynecol Obstet Invest 2018; 83:241-246. [DOI: 10.1159/000486784] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 01/11/2018] [Indexed: 12/11/2022]
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15
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Dou YD, Huang T, Wang Q, Shu X, Zhao SG, Li L, Liu T, Lu G, Chan WY, Liu HB. Integrated microRNA and mRNA signatures in peripheral blood lymphocytes of familial epithelial ovarian cancer. Biochem Biophys Res Commun 2018; 496:191-198. [DOI: 10.1016/j.bbrc.2018.01.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Revised: 12/26/2017] [Accepted: 01/03/2018] [Indexed: 01/28/2023]
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16
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Zhang MC, Zhao SG, Wang SS, Luo CC, Gao HN, Zheng N, Wang JQ. d-Glucose and amino acid deficiency inhibits casein synthesis through JAK2/STAT5 and AMPK/mTOR signaling pathways in mammary epithelial cells of dairy cows. J Dairy Sci 2017; 101:1737-1746. [PMID: 29248227 DOI: 10.3168/jds.2017-12926] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 09/16/2017] [Indexed: 12/21/2022]
Abstract
Amino acids and energy deficiency lead to lower milk protein content in dairy cows. However, the known mechanisms involved in this process do not adequately explain the variability of milk protein concentration in the mammary gland. We hypothesized that a deficiency in d-glucose (d-Glc) or AA would inhibit casein synthesis by regulating signaling pathways in mammary epithelial cells. Cow mammary epithelial cells (CMEC) were subjected to combinations of 1 of 3 concentrations of d-Glc (0, 2.50, or 17.5 mM) and 1 of 3 concentrations of AA (0, 1.03, or 7.20 mM). The effect of each mixture on cell cycle stage was assessed by flow cytometry. The expression levels of β-casein and κ-casein (encoded by CSN2 and CSN3) were measured by quantitative real-time PCR and Western blotting. Phosphorylation of Janus kinase 2 (Jak2), signal transducer and activator of transcription 5a (Stat5a), AMP-activated protein kinase (AMPK), mammalian target of rapamycin (mTOR), ribosomal protein S6 kinase 1 (S6K1), and eukaryotic factor 4E-binding protein 1 (4EBP1) were analyzed by Western blotting. The percentages of cells in the DNA postsynthetic (G2) and DNA synthesis (S) phases would decrease, with the level of d-Glc or AA declining individually, but no interaction was observed between the d-Glc and AA effects. The CSN2 and CSN3 mRNA and protein were downregulated when d-Glc or AA decreased individually from 17.5 to 2.50 mM or from 7.20 to 1.03 mM, but d-Glc deficiency had a greater effect according to the regression analysis. The phosphorylation ratio of Jak2 (Tyr1007/1008), Stat5a (Tyr694), mTOR (Ser2448), S6K1 (Thr389), and 4EBP1 (Thr37) was downregulated with the level of d-Glc or AA decline, whereas the phosphorylation ratio of AMPK (Thr183/172) was upregulated. And the change of d-Glc level had a more marked effect than AA in regulating the activity of these signaling protein above according to the regression analysis. Thus, d-Glc or AA deficiency likely reduced casein transcription via inhibition of the Jak2/Stat5 pathway, and reduced translation via suppression of the mTOR pathway by activation of AMPK, but d-Glc deficiency had a more marked effect. These indicated that deficiency of AA, and especially Glc, suppressed proliferation of CMEC and casein gene and protein expression, associated with inhibition of JAK2/STAT5 and AMPK/mTOR signaling pathways.
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Affiliation(s)
- M C Zhang
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S G Zhao
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S S Wang
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - C C Luo
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H N Gao
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - N Zheng
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - J Q Wang
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
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Lan XY, Zhao SG, Zheng N, Li SL, Zhang YD, Liu HM, McKillip J, Wang JQ. Short communication: Microbiological quality of raw cow milk and its association with herd management practices in Northern China. J Dairy Sci 2017; 100:4294-4299. [PMID: 28434737 DOI: 10.3168/jds.2016-11631] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 03/02/2017] [Indexed: 01/26/2023]
Abstract
Contamination of raw milk with bacterial pathogens is potentially hazardous to human health. The aim of this study was to evaluate the total bacteria count (TBC) and presence of pathogens in raw milk in Northern China along with the associated herd management practices. A total of 160 raw milk samples were collected from 80 dairy herds in Northern China. All raw milk samples were analyzed for TBC and pathogens by culturing. The results showed that the number of raw milk samples with TBC <2 × 106 cfu/mL and <1 × 105 cfu/mL was 146 (91.25%) and 70 (43.75%), respectively. A total of 84 (52.50%) raw milk samples were Staphylococcus aureus positive, 72 (45.00%) were Escherichia coli positive, 2 (1.25%) were Salmonella positive, 2 (1.25%) were Listeria monocytogenes positive, and 3 (1.88%) were Campylobacter positive. The prevalence of S. aureus was influenced by season, herd size, milking frequency, disinfection frequency, and use of a Dairy Herd Improvement program. The TBC was influenced by season and milk frequency. The correlation between TBC and prevalence of S. aureus or E. coli is significant. The effect size statistical analysis showed that season and herd (but not Dairy Herd Improvement, herd size, milking frequency, disinfection frequency, and area) were the most important factors affecting TBC in raw milk. In conclusion, the presence of bacteria in raw milk was associated with season and herd management practices, and further comprehensive study will be powerful for effectively characterizing various factors affecting milk microbial quality in bulk tanks in China.
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Affiliation(s)
- X Y Lan
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, Hunan Province, P. R. China; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu Province, P. R. China
| | - S G Zhao
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - N Zheng
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S L Li
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Y D Zhang
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H M Liu
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - J McKillip
- Department of Biology, Ball State University, Muncie, IN 47306
| | - J Q Wang
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
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18
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McNair C, Urbanucci A, Comstock CES, Augello MA, Goodwin JF, Launchbury R, Zhao SG, Schiewer MJ, Ertel A, Karnes J, Davicioni E, Wang L, Wang Q, Mills IG, Feng FY, Li W, Carroll JS, Knudsen KE. Cell cycle-coupled expansion of AR activity promotes cancer progression. Oncogene 2017; 36:1655-1668. [PMID: 27669432 PMCID: PMC5364060 DOI: 10.1038/onc.2016.334] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Accepted: 08/03/2016] [Indexed: 12/13/2022]
Abstract
The androgen receptor (AR) is required for prostate cancer (PCa) survival and progression, and ablation of AR activity is the first line of therapeutic intervention for disseminated disease. While initially effective, recurrent tumors ultimately arise for which there is no durable cure. Despite the dependence of PCa on AR activity throughout the course of disease, delineation of the AR-dependent transcriptional network that governs disease progression remains elusive, and the function of AR in mitotically active cells is not well understood. Analyzing AR activity as a function of cell cycle revealed an unexpected and highly expanded repertoire of AR-regulated gene networks in actively cycling cells. New AR functions segregated into two major clusters: those that are specific to cycling cells and retained throughout the mitotic cell cycle ('Cell Cycle Common'), versus those that were specifically enriched in a subset of cell cycle phases ('Phase Restricted'). Further analyses identified previously unrecognized AR functions in major pathways associated with clinical PCa progression. Illustrating the impact of these unmasked AR-driven pathways, dihydroceramide desaturase 1 was identified as an AR-regulated gene in mitotically active cells that promoted pro-metastatic phenotypes, and in advanced PCa proved to be highly associated with development of metastases, recurrence after therapeutic intervention and reduced overall survival. Taken together, these findings delineate AR function in mitotically active tumor cells, thus providing critical insight into the molecular basis by which AR promotes development of lethal PCa and nominate new avenues for therapeutic intervention.
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Affiliation(s)
- C McNair
- Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - A Urbanucci
- Prostate Cancer Research Group, Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo and Oslo University Hospitals, Oslo, Norway
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospitals, Oslo, Norway
| | - C E S Comstock
- Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - M A Augello
- Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - J F Goodwin
- Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - R Launchbury
- Cambridge Research Institute, Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - S G Zhao
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - M J Schiewer
- Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - A Ertel
- Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - J Karnes
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | | | - L Wang
- Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA
| | - Q Wang
- Ohio State University College of Medicine, Columbus, OH, USA
| | - I G Mills
- Prostate Cancer Research Group, Centre for Molecular Medicine Norway (NCMM), Nordic EMBL Partnership, University of Oslo and Oslo University Hospitals, Oslo, Norway
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospitals, Oslo, Norway
- Prostate Cancer UK/Movember Centre of Excellence for Prostate Cancer Research, Centre for Cancer Research and Cell Biology, Queen's University Belfast, Belfast, UK
| | - F Y Feng
- Department of Radiation Oncology, Urology, and Medicine and Helen Diller Family Comprehensive Cancer Center, University of California at San Francisco, San Francisco, CA, USA
| | - W Li
- Dan L. Duncan Cancer Center and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - J S Carroll
- Cambridge Research Institute, Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - K E Knudsen
- Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
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Speers C, Chang L, Santola A, Liu M, Zhao SG, Chandler B, Olsen E, Bartelink H, Feng FY, Pierce LJ. Abstract P1-10-02: A signature predictive of early vs. late recurrence after radiation treatment (RT) for breast cancer that may inform the biology of early, aggressive recurrences. Cancer Res 2017. [DOI: 10.1158/1538-7445.sabcs16-p1-10-02] [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: 11/16/2022]
Abstract
Abstract
Purpose: Unmet clinical needs in breast cancer (BC) management include the identification of patients (pts) at high risk to fail locally despite standard local therapy including RT and understanding the biology of these recurrences. We previously reported1 a RT response signature and here extend those studies to identify a signature predictive of timing of recurrence after completion of RT (before or after 3 years).
Methods: Two independent patient cohorts (treated with BCS) from non-randomized clinical trials were used for training and validation. The training cohort included 119 pts with in-breast tumor recurrence and the validation cohort had 25 pts with recurrences. Initial feature selection used Spearman's rank correlation correlating gene expression (14,806 genes) to recurrence time. Genes with sig. correlation (FDR <0.1) and large expression range (fold change >2) were used to train an elastic net penalized Poisson regression model. This model was locked and then applied to the validation dataset. Cox regression was used for both univariate and multivariable analyses (UVA and MVA). To identify biological-related concepts, Spearman's corr. coefficients of recurrence time to gene expression within the training cohort were used to generate a pre-ranked list upon which GSEA pathway analysis was performed.
Results: Spearman's correlation identified 485 genes whose expression was significantly associated with recurrence time (early vs. late). Feature reduction further refined the gene list to 41 genes, which were retained within the signature and locked for further validation. In the training dataset the Spearman's correlation of the continuous score to recurrence time was 0.852 with a P-value of 1.3x10-34 and an AUC of 0.92. Application of this early vs late signature to an independent BC validation set accurately identifies pts with early vs. late recurrences (Spearman's corr.=0.537, p-value<0.007, AUC=0.74, sensitivity=0.71, specificity=0.73, PPV=0.77, NPV=0.67). In UVA and MVA the early vs. late recurrence signature remained the most significant factor associated with recurrence time. Although independent of intrinsic subtype, GSEA analysis of the 41 genes retained within the signature identifies proliferation and EGFR concepts associated with early recurrences and luminal and ER-signaling pathways associated with late recurrences. Knockdown of genes associated with the early and late recurrences is currently underway to assess phenotypic changes (proliferation and clonogenic survival as a measure of early and durable RT response) associated with the early and late recurrence-associated genes.
Conclusion: In this study we derive a BC-specific RT signature predictive of early vs. late recurrence with biologic relevance and validate this signature for prediction of timing of recurrence in an independent clinical dataset. By identifying pts with tumors likely to recur sooner vs. later this signature has the potential to allow for a furthered understanding of the biology underlying early and late recurrences and has a potential to personalize RT, particularly in patients for whom treatment intensification is needed.
1. Clin Cancer Res. 2015 Aug 15;21(16):3667-77.
Citation Format: Speers C, Chang L, Santola A, Liu M, Zhao SG, Chandler B, Olsen E, Bartelink H, Feng FY, Pierce LJ. A signature predictive of early vs. late recurrence after radiation treatment (RT) for breast cancer that may inform the biology of early, aggressive recurrences [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-10-02.
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Affiliation(s)
- C Speers
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - L Chang
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - A Santola
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - M Liu
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - SG Zhao
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - B Chandler
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - E Olsen
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - H Bartelink
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - FY Feng
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
| | - LJ Pierce
- University of Michigan Hospital and Health System, Ann Arbor, MI; Netherlands Cancer Institute, Amsterdam, Netherlands
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Yang QL, Huang XY, Zhao SG, Liu LX, Zhang SW, Huang WZ, Gun SB. Effect of swine leukocyte antigen-DQA gene variation on diarrhea in Large White, Landrace, and Duroc piglets. Anim Genet 2016; 47:691-697. [PMID: 27586652 DOI: 10.1111/age.12489] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2016] [Indexed: 11/28/2022]
Abstract
Piglet diarrhea is one of the most common factors that affects the benefits of the swine industry. Although recent studies have shown that exon 2 of SLA-DQA is associated with piglet resistance to diarrhea, contributions of genetic variation in the additional exon coding regions of this gene remain unclear. Here, we investigated variation in exons 1, 3 and 4 of the SLA-DQA gene and evaluated their effects on diarrheal infection in 425 suckling piglets. No variation was identified in exon 1. In exon 3, there were eight alleles detected, generated by 14 single nucleotide polymorphisms (SNPs) and three nucleotide deletions, eight SNPs being newly identified. Four allele sequences and three SNPs were identified in exon 4, only one SNP being newly identified. Statistical analysis showed that the genotypes of exon 3 are significantly associated with piglet diarrhea; indeed, genotypes DQA*wb01/wb02 and wb04/wb05 are clearly associated with resistance to piglet diarrhea, as they have the lowest probabilities of infection (P < 0.05). However, no significant association was found between the genotypes of exon 4 and diarrhea (P > 0.05). These results provide important new information concerning the level of genetic diversity at the SLA-DQA locus and suggest that further genetic association studies of piglet diarrhea resistance should include analyses of both exons 2 and 3 of this locus.
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Affiliation(s)
- Q L Yang
- College of Animal Science and Technology, Gansu Agricultural University, No. 1 Yingmen Village, Lanzhou, 730070, China
| | - X Y Huang
- College of Animal Science and Technology, Gansu Agricultural University, No. 1 Yingmen Village, Lanzhou, 730070, China
| | - S G Zhao
- College of Animal Science and Technology, Gansu Agricultural University, No. 1 Yingmen Village, Lanzhou, 730070, China
| | - L X Liu
- College of Life Science and Engineering, Northwest University for Nationalities, Northwest Village No.1, Chengguan District, Lanzhou, 730030, China
| | - S W Zhang
- College of Animal Science and Technology, Gansu Agricultural University, No. 1 Yingmen Village, Lanzhou, 730070, China
| | - W Z Huang
- College of Animal Science and Technology, Gansu Agricultural University, No. 1 Yingmen Village, Lanzhou, 730070, China
| | - S B Gun
- College of Animal Science and Technology, Gansu Agricultural University, No. 1 Yingmen Village, Lanzhou, 730070, China. .,Gansu Research Center for Swine Production Engineering and Technology, No. 1 Yingmen Village, Lanzhou, 730070, China.
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Yang QL, Huang XY, Kong JJ, Zhao SG, Liu LX, Gun SB. Genetic association of sequence variation in exon 3 of the swine leukocyte antigen-DQA gene with piglet diarrhea in Large White, Landrace, and Duroc piglets. Genet Mol Res 2016; 15:gmr8673. [PMID: 27706561 DOI: 10.4238/gmr.15038673] [Citation(s) in RCA: 2] [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
Piglet diarrhea is one of the primary factors that affects the benefits of the swine industry. Recent studies have shown that exon 2 of the swine leukocyte antigen-DQA gene is associated with piglet resistance to diarrhea; however, the contributions of additional exon coding regions of this gene remain unclear. Here, we detected and sequenced variants in the exon 3 region and examined their associations with diarrhea infection in 425 suckling piglets using the polymerase chain reaction-single-strand conformational polymorphism and sequencing analysis. The results revealed that exon 3 of the swine leukocyte antigen-DQA gene is highly polymorphic and pivotal to both diarrhea susceptibility and resistance in piglets. We identified 14 genotypes (AA, AB, BB, BC, CC, EE, EF, BE, BF, CF, DD, DH, GG, and GF) and eight alleles (A-H) that were generated by 14 nucleotide variants, eight of which were novel, and three nucleotide deletions. Statistical analyses revealed that the genotypes AB and EF were associated with resistance to diarrheal disease (P < 0.05), and the genotype DD may contribute to diarrhea susceptibility but was unique to Large White pigs (P > 0.05). These results elucidate the genetic and immunological background to piglet diarrhea, and provide useful information for resistance breeding programs.
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Affiliation(s)
- Q L Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - X Y Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - J J Kong
- Yongjing Country Agriculture and Animal Husbandry Bureau, Linxia, China
| | - S G Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - L X Liu
- College of Life Science and Engineering, Northwest University for Nationalities, Lanzhou, China
| | - S B Gun
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China .,Gansu Research Center for Swine Production Engineering and Technology, Lanzhou, China
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22
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Dou YD, Zhao H, Huang T, Zhao SG, Liu XM, Yu XC, Ma ZX, Zhang YC, Liu T, Gao X, Li L, Lu G, Chan WY, Gao F, Liu HB, Chen ZJ. STMN1 Promotes Progesterone Production Via StAR Up-regulation in Mouse Granulosa Cells. Sci Rep 2016; 6:26691. [PMID: 27270953 PMCID: PMC4897624 DOI: 10.1038/srep26691] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [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: 02/08/2016] [Accepted: 05/06/2016] [Indexed: 11/09/2022] Open
Abstract
Stathmin 1 (STMN1) is a biomarker in several types of neoplasms. It plays an important role in cell cycle progression, mitosis, signal transduction and cell migration. In ovaries, STMN1 is predominantly expressed in granulosa cells (GCs). However, little is known about the role of STMN1 in ovary. In this study, we demonstrated that STMN1 is overexpressed in GCs in patients with polycystic ovary syndrome (PCOS). In mouse primary GCs, the overexpression of STMN1 stimulated progesterone production, whereas knockdown of STMN1 decreased progesterone production. We also found that STMN1 positively regulates the expression of Star (steroidogenic acute regulatory protein) and Cyp11a1 (cytochrome P450 family 11 subfamily A member 1). Promoter and ChIP assays indicated that STMN1 increased the transcriptional activity of Star and Cyp11a1 by binding to their promoter regions. The data suggest that STMN1 mediates the progesterone production by modulating the promoter activity of Star and Cyp11a1. Together, our findings provide novel insights into the molecular mechanisms of STMN1 in ovary GC steroidogenesis. A better understanding of this potential interaction between STMN1 and Star in progesterone biosynthesis in GCs will facilitate the discovery of new therapeutic targets in PCOS.
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Affiliation(s)
- Yun-De Dou
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Han Zhao
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Tao Huang
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Shi-Gang Zhao
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Xiao-Man Liu
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Xiao-Chen Yu
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Zeng-Xiang Ma
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Yu-Chao Zhang
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Tao Liu
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Xuan Gao
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Lei Li
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China
| | - Gang Lu
- The Chinese University of Hong Kong-Shandong University Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wai-Yee Chan
- The Chinese University of Hong Kong-Shandong University Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Fei Gao
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Hong-Bin Liu
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China.,The Chinese University of Hong Kong-Shandong University Joint Laboratory on Reproductive Genetics, School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, China.,The Key laboratory for Reproductive Endocrinology of Ministry of Education, China.,Shandong Provincial Key Laboratory of Reproductive Medicine, Jinan, China.,Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, China
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23
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Yue Y, Cheng X, Zhao SG, Liu Z, Liu LS, Zhou R, Wu JP, Brown MA. Effects of tail docking on the expression of genes related to lipid metabolism in Lanzhou fat-tailed sheep. Genet Mol Res 2016; 15:gmr7323. [PMID: 27050972 DOI: 10.4238/gmr.15017323] [Citation(s) in RCA: 3] [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
To evaluate stearoyl-CoA desaturase (SCD), hormone-sensitive lipase (HSL), lipoprotein lipase (LPL), and peroxisome proliferator-activated receptor (PPARγ) expression in Lanzhou fat-tailed sheep (with and without docked tails), 18 rams were randomly divided into two equal groups (docked group, LT; control group, LC). These data were also used to increase the understanding of sheep fat deposition and metabolism. All animals were harvested at the age of 18 months, and expression was determined for 10 tissues. The results indicated that the fat weight of each tissue in LT was higher than in LC (P < 0.05). SCD expression in semitendinosus, omentum majus fat (OF), subcutaneous fat, kidney fat (KF), and subcutaneous rump fat was higher in LT than in LC rams (P < 0.05). Trends (P < 0.10) associated with higher HSL expression of LC in comparison to that of LT rams in intestinal fat, OF, and KF tissues were detected. Numerically, LPL expression was the highest in KF, OF, and kidney tissues, but there were few differences (P > 0.10). PPARγexpression was greater in LT than in LC rams in liver tissues (P < 0.05), but there were few differences in other tissues. No significant differences were found with regard to the regression analysis of expression and adipose tissue weights, but the two indices exhibited the same trend. The results indicated that changes in fatty deposits may be due to the common control of docking management and the minor effects associated with the regulation of SCD, HSL, LPL, and PPARγexpression.
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Affiliation(s)
- Y Yue
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - X Cheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - S G Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Z Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - L S Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - R Zhou
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - J P Wu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - M A Brown
- B&B Research & Development, LLC, El Reno, OK, USA
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24
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Liu LX, Zhao SG, Lu HN, Yang QL, Huang XY, Gun SB. Association between polymorphisms of the swine MHC-DQA gene and diarrhoea in three Chinese native piglets. Int J Immunogenet 2015; 42:208-16. [PMID: 25736511 DOI: 10.1111/iji.12186] [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] [Received: 05/30/2014] [Revised: 12/30/2014] [Accepted: 02/02/2015] [Indexed: 12/26/2022]
Abstract
Swine leucocyte antigen (SLA) is a highly polymorphic multigene family that plays a crucial role in swine immune response and disease resistance. Here, we identified polymorphisms and gene variations of SLA-DQA exon 2 using polymerase chain reaction-single-strand conformation polymorphism (PCR-SSCP) and DNA sequencing analysis, and further investigated the correlation between the polymorphisms and piglet diarrhoea in three Chinese native pig breeds (Bamei, Juema and Gansu Black pigs). Consequently, 12 genotypes and 8 alleles including two novel alleles were detected. Nucleotide polymorphism was compared with the actual functional polymorphism in the peptide-binding region (PBR), binding pockets P1, P6 and P9, and the antigen-binding groove, variations in the antigen-binding groove of alleles DQA*01xa01, DQA*01xa03, DQA*01xb01, DQA*We02, DQA*03xb03 and DQA*wy06 were higher than alleles DQA*03xa01 and DQA*03xa03, while amino acid variations in peptide-binding pockets of allele DQA*03xa03 were most abundant among all alleles. The results of association analysis showed the diarrhoea score of Gansu Black pigs (-0.08 ± 0.78) was significantly higher than Bamei and Juema pigs (P < 0.01), and genotype DQA*03xa0103xa01 (0.39 ± 0.54) was significantly higher relative to other genotypes (P < 0.01), while that of genotype DQA*03xa0303xa03 (-1.31 ± 0.88) was markedly lower than scores obtained with genotypes DQA*03xa0103xa01 and DQA*03xa0101xa01 (P < 0.01), as well as DQA*01xa0101xa01 (P < 0.05), indicating that amino acid variations in the peptide-binding pockets play a more important role than the antigen-binding groove in piglet diarrhoea resistance. Further studies on other SLA molecules of native pigs are required to validate the link between this gene complex and diarrhoea.
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Affiliation(s)
- L X Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.,College of Life Science and Engineering, Northwest University for Nationalities, Lanzhou, China
| | - S G Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - H N Lu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.,College of Life Science and Engineering, Northwest University for Nationalities, Lanzhou, China
| | - Q L Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - X Y Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China
| | - S B Gun
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, China.,Gansu Research Center for Swine Production Engineering and Technology, Lanzhou, China
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25
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Yang QL, Zhao SG, Wang DW, Feng Y, Jiang TT, Huang XY, Gun SB. Association between Genetic Polymorphism in the Swine Leukocyte Antigen-DRA Gene and Piglet Diarrhea in Three Chinese Pig Breeds. Asian-Australas J Anim Sci 2014; 27:1228-35. [PMID: 25178364 PMCID: PMC4150187 DOI: 10.5713/ajas.2013.13567] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Revised: 12/30/2013] [Accepted: 03/27/2014] [Indexed: 01/25/2023]
Abstract
The swine leukocyte antigen (SLA)-DRA locus is noteworthy among other SLA class II loci for its limited variation and has not been investigated in depth. This study was investigated to detect polymorphisms of four exons of SLA-DRA gene and its association with piglet diarrhea in Landrace, Large White and Duroc pigs. No polymorphisms were detected in exon 3, while 2 SNPs (c.178G>A and c.211T>C), 2 SNPs (c.3093A>C and c.3104C>T) and 5 SNPs (c.4167A>G, c.4184A>G, c.4194A>G, c.4246A>G and c.4293G>A) were detected in exon 1, exon 2 and exon 4 respectively, and 1 SNP (c.4081T>C) in intron 3. Statistical results showed that genotype had significant effect on piglet diarrhea, individuals with genotype BC had a higher diarrhea score when compared with the genotypes AA, AB, AC and CC. Futhermore, genotype AC had a higher diarrhea score than the genotype CC in exon 1 (p<0.05); diarrhea scores of genotype AA and BB were higher than those of genotypes AC and CC in exon 2 (p<0.05); individuals with genotype AA had a higher diarrhea score than individuals with genotype AB and BB in exon 4 (p<0.05). Fourteen common haplotypes were founded by haplotype constructing of all SNPs in the three exons, its association with piglet diarrhea appeared that Hap2, 5, 8, 10, and 14 may be the susceptible haplotypes and Hap9 may be the resistant haplotype to piglet diarrhea. The genetic variations identified of the SLA-DRA gene may potentially be functional mutations related to piglet diarrhea.
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Affiliation(s)
- Q L Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China ; Animal Husbandry and Veterinary Institute of Gansu Province, Pingliang 744000, China
| | - S G Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China ; Gansu Research Center for Swine Production Engineering and Technology, Lanzhou 730070, China
| | - D W Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Y Feng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China ; Gansu Research Center for Swine Production Engineering and Technology, Lanzhou 730070, China
| | - T T Jiang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China ; Gansu Research Center for Swine Production Engineering and Technology, Lanzhou 730070, China
| | - X Y Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - S B Gun
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China ; Gansu Research Center for Swine Production Engineering and Technology, Lanzhou 730070, China
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26
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Yang QL, Kong JJ, Wang DW, Zhao SG, Gun SB. Swine Leukocyte Antigen-DQA Gene Variation and Its Association with Piglet Diarrhea in Large White, Landrace and Duroc. Asian-Australas J Anim Sci 2014; 26:1065-71. [PMID: 25049886 PMCID: PMC4093232 DOI: 10.5713/ajas.2013.13067] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/29/2013] [Revised: 04/23/2013] [Accepted: 03/29/2013] [Indexed: 01/17/2023]
Abstract
The swine leukocyte antigen class II molecules are possibly associated with the induction of protective immunity. The study described here was to investigate the relationship between polymorphisms in exon 2 of the swine DQA gene and piglet diarrhea. This study was carried out on 425 suckling piglets from three purebred pig strains (Large White, Landrace and Duroc). The genetic diversity of exon 2 in swine DQA was detected by PCR-SSCP and sequencing analysis, eight unique SSCP patterns (AB, BB, BC, CC, CD, BD, BE and DD) representing five specific allele (A to E) sequences were detected. Sequence analysis revealed 21 nucleotide variable sites and resulting in 12 amino acid substitutions in the populations. A moderate level polymorphism and significant deviations from Hardy-Weinberg equilibrium of the genotypes distribution were observed in the populations (p<0.01). The association analysis indicated that there was a statistically significant difference in the score of piglet diarrhea between different genotypes, individuals with genotype CC showed a lower diarrhea score than genotypes AB (0.98±0.09), BB (0.85±0.77) and BC (1.25±0.23) (p<0.05), and significantly low than genotype BE (1.19±0.19) (p<0.01), CC genotype may be a most resistance genotype for piglet diarrhea.
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Affiliation(s)
- Q L Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - J J Kong
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - D W Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - S G Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
| | - S B Gun
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070, China
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27
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Liu N, Jiang J, Song YJ, Zhao SG, Tong ZG, Song HS, Wu H, Zhu JY, Gu YH, Sun Y, Hua W, Qi JP. Impact of MTHFR polymorphisms on methylation of MGMT in glioma patients from Northeast China with different folate levels. Genet Mol Res 2013; 12:5160-71. [PMID: 24301776 DOI: 10.4238/2013.october.29.10] [Citation(s) in RCA: 6] [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: 11/03/2022]
Abstract
Hypomethylation of the O6-methylguanine-DNA-methyltransferase (MGMT) promoter in glioma cells has been associated with temozolomide resistance. S-adenosylmethionine (SAM), which is produced during folate metabolism, is the main source of methyl groups during DNA methylation. As a key enzyme during folate metabolism, polymorphisms of 5,10-methylenetetrahydrofolate reductase (MTHFR) may regulate folate end-products. We investigated the effect of typical polymorphisms of MTHFR (C677T and A1298C) on MGMT methylation based on different serum folate levels in patients with glioma from Northeast China. A total of 275 patients with glioma and 329 without malignant tumors were tested. Serum folate concentration was assayed by using the electrochemiluminescence immunoassay. MTHFR polymorphisms were detected by Taqman-Fluorescence quantitative polymerase chain reaction (PCR). Methylation-specific PCR was used to assess MGMT methylation. The constituent ratio of glioma patients below the serum folate biological reference value was significantly higher than that of the control population (P < 0.001). In patients with oligodendroglioma and glioblastoma, heterozygotes for the A1298C mutation were found in higher frequency than homozygotes or wild types (oligodendroglioma, P < 0.001; glioblastoma, P < 0.01). When grouped by the median or biological reference value of serum folate, only homozygotes for C677T with low levels of folate were significantly associated with decreased methylation of MGMT (median, P < 0.001; biological reference value, P = 0.036). These data suggest that, in combination with a negative folate balance in glioma patients, T/T genotypes in MTHFR C677T may be associated with MGMT demethylation.
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Affiliation(s)
- N Liu
- Department of Pathology, First Affiliated Hospital of Harbin Medical University, Nangang District, Harbin, China
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Abstract
Epilepsy is a disease characterized by abnormal spontaneous activity in the brain. Resting-state functional magnetic resonance imaging (RS-fMRI) is a powerful technique for exploring this activity. With good spatial and temporal resolution, RS-fMRI is a promising approach for accurate localization of the focus of seizure activity. Although simultaneous electroencephalogram-fMRI has been performed with patients in the resting state, most studies focused on activation. This mini-review focuses on RS-fMRI alone, including its computational methods and its application to epilepsy.
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29
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Zhao SG, Wu MC, Tang CD, Gao SJ, Zhang HM, Li JF. Cloning and bioinformatic analysis of an acidophilic beta-mannanase gene, Anman5A, from Aspergillus niger LW-1. Prikl Biokhim Mikrobiol 2012; 48:522-530. [PMID: 23101390] [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: 06/01/2023]
Abstract
Using 3' and 5' rapid amplification of cDNA ends (RACE) techniques, the full-length cDNA sequence of the AnmanSA, a gene that encodes an acidophilic beta-mannanase of Aspergillus niger LW-1 (abbreviated to AnMan5A), was identified from the total RNA. The cDNA sequence was 1417 bp in length, harboring 5'- and 3'-untranslated regions, as well as an open reading frame (ORF) which encodes a 21-aa signal peptide, a 17-aa propeptide and a 345-aa mature peptide. Based on the topology of the phylogenetic tree of beta3-mannanases from glycoside hydrolase (GH) family 5, the AnMan5A belongs to the subfamily 7 of the GH family 5. Its 3D structure was modeled by the bitemplate-based method using both MODELLER 9.9 and SALIGN programs, based on the known beta-mannanase crystal structures of Trichoderma reesei (1QNO) and Lycopersicon esculentum (1RH9) from the GH family 5. In addition, the complete DNA sequence of the Anman5A was amplified from the genomic DNA using the pUCm-T vector-mediated PCR and conventional PCR methods. The DNA sequence was 1825 bp in length, containing a 5'-flanking regulatory region, 2 introns and 3 exons when compared with the full-length cDNA.
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Affiliation(s)
- S G Zhao
- Jiangnan University, 214122 China
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30
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Yang KB, Zhao SG, Liu YH, Hu EX, Liu BX. Tetraethylammonium inhibits glioma cells via increasing production of intracellular reactive oxygen species. Chemotherapy 2009; 55:372-80. [PMID: 19707016 DOI: 10.1159/000235730] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2009] [Accepted: 05/15/2009] [Indexed: 11/19/2022]
Abstract
BACKGROUND Potassium channel blockers have been shown to possess antitumor properties, but the role of apoptosis remains to be clarified. In this study, we investigated the antiproliferative effect of tetraethylammonium (TEA), a nonspecific potassium channel blocker, in rat C6 and 9L glioma cells. METHODS Cytotoxicity was evaluated by MTT assay. Apoptosis was detected by TUNEL and annexin V-FITC/propidium iodide assays. Protein levels were determined by Western blot analysis. Intracellular reactive oxygen species (ROS) levels were assessed flow cytometrically. RESULTS TEA (2-60 mM) significantly inhibited the proliferation of C6 and 9L glioma cells. In addition, increased cell apoptosis was confirmed after treatment with 40 mM TEA. Apoptosis was associated with a dramatic increase in ROS levels and altered Bcl-2/Bax protein balance. CONCLUSION TEA can inhibit proliferation and induce apoptosis in both cell lines; therefore, it might be associated with the increase in intracellular ROS production.
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Affiliation(s)
- K B Yang
- Neurosurgery Department, First Affiliated Hospital of Harbin Medical University, Harbin, China
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31
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Zhao CY, Zhang RS, Liu HX, Xue CX, Zhao SG, Zhou XF, Liu MC, Fan BT. Diagnosing anorexia based on partial least squares, back propagation neural network, and support vector machines. ACTA ACUST UNITED AC 2005; 44:2040-6. [PMID: 15554673 DOI: 10.1021/ci049877y] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Support vector machine (SVM), as a novel type of learning machine, for the first time, was used to develop a predictive model for early diagnosis of anorexia. It was based on the concentration of six elements (Zn, Fe, Mg, Cu, Ca, and Mn) and the age extracted from 90 cases. Compared with the results obtained from two other classifiers, partial least squares (PLS) and back-propagation neural network (BPNN), the SVM method exhibited the best whole performance. The accuracies for the test set by PLS, BPNN, and SVM methods were 52%, 65%, and 87%, respectively. Moreover, the models we proposed could also provide some insight into what factors were related to anorexia.
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Affiliation(s)
- C Y Zhao
- Department of Chemistry, Lanzhou University, Lanzhou 730000, China
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32
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Zhao SG. [Experience in management of scientific researches on nursing]. Zhonghua Hu Li Za Zhi 1988; 23:515-7. [PMID: 3228918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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