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Hai L, Li P, Xiao Z, Zhou J, Xiao B, Zhou L. Rhizopus microsporus and Mucor racemosus coinfection following COVID-19 detected by metagenomics next-generation sequencing: A case of disseminated mucormycosis. Heliyon 2024; 10:e25840. [PMID: 38370187 PMCID: PMC10869847 DOI: 10.1016/j.heliyon.2024.e25840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 12/27/2023] [Accepted: 02/02/2024] [Indexed: 02/20/2024] Open
Abstract
Mucormycosis is an invasive opportunistic fungal infection, which may be lethal and mostly affects patients with immunodeficiency or diabetes mellitus. Among Mucorales fungi, Rhizopus spp. is the most common cause of mucormycosis, followed by genera such as Mucor and Lichtheimia. Here we report a patient with severe COVID-19 infection who developed nasal pain, facial swelling, prominent black eschar on the nasal root. CT scan revealed pansinusitis along the maxillary, ethmoidal, and sphenoid sinuses. Mixed mold infection with Rhizopus microsporus and Mucor racemosus was detected by blood metagenomics next-generation sequencing (mNGS) and later nasal mucosa histological investigation confirmed mucormycosis. Severe COVID-19 infection led to the patient's thrombocytopenia and leukopenia. Later disseminated mucormycosis aggravated the infection and sepsis eventually resulted in death. It is the first case report of mucormycosis in which R. microsporus and M. racemosus as the etiologic agents were found simultaneously in one patient. COVID-19 infection combined with disseminated mucormycosisis can be fatal and mNGS is a fast, sensitive and accurate diagnostic method for fungi detection.
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Affiliation(s)
- Lihan Hai
- Department of Neurology, Xing'an League People's Hospital, Ulanhot, Inner Mongolia, China
| | - Peihong Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zheng Xiao
- Department of Pathology, First Hospital of Changsha, Changsha, Hunan, China
| | - Jinxia Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Luo Zhou
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Medical Research Center for Geriatric Diseases (Xiangya Hospital), Central South University, Changsha, Hunan, China
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Ma WL, Ma Y, Wang WH, Ding XC, Jiao Y, Liu SW, Hai L. [Analysis of the prognosis and survival of patients with acute-on-chronic liver failure]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:1051-1055. [PMID: 38016769 DOI: 10.3760/cma.j.cn501113-20230604-00243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
Objective: To explore the influencing factors and the impact of artificial liver treatment on the prognosis and survival of patients with acute-on-chronic liver failure (ACLF). Methods: Clinical data from 201 cases with ACLF from January 2016 to December 2019 was retrospectively analyzed. The survival rate was calculated by the Kaplan-Meier method, the log-rank test of univariate analysis, and the multivariate analysis of the stepwise Cox regression forward method. Results: The median survival time of patients was 6 months, and the survival rates at 6, 9, and 12 months were 51.2%, 38.3%, and 29.9%, respectively. In univariate analysis, age, presence or absence of hypertension and upper gastrointestinal bleeding, treatment method, model for end-stage liver disease (MELD) score, and cholinesterase were associated with prognosis (P < 0.05). Multivariate regression analysis results showed that MELD score was the main factor affecting the 1-year prognosis of ACLF patients (P = 0.002). Artificial liver treatment was beneficial for the 1-year prognosis of ACLF patients aged < 50 years or with a MELD score of ≥20 (P < 0.05 ). The relative risk ratio (RR) of mortality was 2.55 times higher in patients with advanced age (≥50 years old) than that of younger patients (P < 0.001). Regression analysis was performed using age as a stratification factor, and upper gastrointestinal bleeding was related to the prognosis of younger patients, while choline esterase was related to the prognosis of advanced age. Regression analysis after stratified MELD score showed that age and hypertension were related to the prognosis of patients with MELD score < 20, and treatment method and age were related to the prognosis of patients with MELD score≥20. Conclusion: Artificial liver treatment is beneficial for the 1-year prognosis of ACLF patients. Age, MELD score, hypertension, and upper gastrointestinal bleeding are independent risk factors affecting the prognosis of ACLF patients.
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Affiliation(s)
- W L Ma
- Department of Infectious Diseases, Ningxia Medical University General Hospital, Yinchuan 750004, China
| | - Y Ma
- Department of Infectious Diseases, Ningxia Medical University General Hospital, Yinchuan 750004, China
| | - W H Wang
- Department of Nutrition, Ningxia Medical University General Hospital, Yinchuan 750004, China
| | - X C Ding
- Department of Infectious Diseases, Ningxia Medical University General Hospital, Yinchuan 750004, China
| | - Y Jiao
- Department of Infectious Diseases, Ningxia Medical University General Hospital, Yinchuan 750004, China
| | - S W Liu
- Department of Infectious Diseases, Ningxia Medical University General Hospital, Yinchuan 750004, China
| | - L Hai
- Department of Infectious Diseases, Ningxia Medical University General Hospital, Yinchuan 750004, China
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Hoffmann DC, Hai L, Wagener R, Mandelbaum H, Xie R, Hausmann D, Dominguez Azorín D, Weil S, Sievers P, Cebulla G, Ito J, Warnken U, Venkataramani V, Ernst K, Reibold D, Will R, Suvà ML, Herold-Mende C, Sahm F, Winkler F, Schlesner M, Wick W, Kessler T. JS08.6.A A connectivity signature for glioblastoma. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Tumor cell extensions called tumor microtubes (TMs) in glioma resemble neurites during neurodevelopment and connect glioma cells to a network that has considerable relevance for tumor progression and therapy resistance. The determination of interconnectivity in individual tumors has been challenging and the impact of tumor cell connectivity on patient survival remained unresolved so far.
Material and Methods
A connectivity signature was derived by single-cell RNA-sequencing (scRNA-Seq) of highly and lowly connected cells obtained from an SR101 dye transfer xenograft model of primary glioblastoma (GB). The signature was validated in different in vitro models of cell-to-cell connectivity and could be translated to GB clinical specimens.
Results
34 of 40 connectivity genes were related to neurogenesis, neural tube development or glioma progression, including the TM-network-relevant GAP43 gene. Astrocytic-like and mesenchymal-like GB cells had the highest connectivity signature scores in scRNA-Seq data of patient-derived xenografts and patient samples. In 230 human GBs, high connectivity correlated with the mesenchymal expression subtype, TP53 wildtype, and with dismal patient survival. CHI3L1 was identified and validated as a robust molecular marker of connectivity with a functional relevance.
Conclusion
The connectivity signature gives novel insights into brain tumor biology, provides a proof-of-principle that tumor cell connectivity is relevant for patients’ prognosis, and serves as a robust biomarker that can be used for future clinical trials
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Affiliation(s)
- D C Hoffmann
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
- Faculty of Biosciences, Heidelberg University , Heidelberg , Germany
| | - L Hai
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
- Bioinformatics and Omics Data Analytics, DKFZ , Heidelberg , Germany
| | - R Wagener
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
| | - H Mandelbaum
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - R Xie
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - D Hausmann
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - D Dominguez Azorín
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - S Weil
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
| | - P Sievers
- Department of Neuropathology, Institute of Pathology, University Hospital Heidelberg , Heidelberg , Germany
- Clinical Cooperation Unit Neuropathology, DKTK, DKFZ , Heidelberg , Germany
| | - G Cebulla
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - J Ito
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - U Warnken
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - V Venkataramani
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
- Department of Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg University , Heidelberg , Germany
| | - K Ernst
- Hopp Children's Cancer Center at the NCT Heidelberg (KiTZ) , Heidelberg , Germany
- Division of Pediatric Neurooncology, DKTK, DKFZ , Heidelberg , Germany
| | - D Reibold
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
| | - R Will
- Genomics and Proteomics Core Facility, DKTK, DKFZ , Heidelberg , Germany
| | - M L Suvà
- Broad Institute of Harvard and MIT, Cambridge, MA, United States; Department of Pathology and Center for Cancer Research, Massachusetts General Hospital and Harvard Medical School , Boston, MA , United States
| | - C Herold-Mende
- Department of Neurosurgery, Heidelberg University Hospital , Heidelberg , Germany
| | - F Sahm
- Department of Neuropathology, Institute of Pathology, University Hospital Heidelberg , Heidelberg , Germany
- Clinical Cooperation Unit Neuropathology, DKTK, DKFZ , Heidelberg , Germany
| | - F Winkler
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
| | - M Schlesner
- Bioinformatics and Omics Data Analytics, DKFZ , Heidelberg , Germany
- Biomedical Informatics, Data Mining and Data Analytics, Faculty of Applied Computer Science and Medical Faculty, University of Augsburg , Augsburg , Germany
| | - W Wick
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
| | - T Kessler
- Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg , Germany
- Department of Neurology and Neurooncology Program, National Center for Tumor Diseases, Heidelberg University Hospital , Heidelberg , Germany
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Alhalabi O, Göttmann M, Gold M, Fletcher M, Hielscher T, Iskar M, Kessler T, Wittmann E, Schlue S, Rahman S, Hai L, Hansen-Palmus L, Puccio L, Nakano I, Herold-Mende C, Baumgartner U, Day B, Wick W, Sahm F, Fraenkel E, Phillips E, Goidts V. P04.04 Optimizing dasatinib for glioblastoma treatment. Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab180.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
BACKGROUND
Glioblastoma is the most common primary malignancy of the central nervous system with a dismal prognosis, even with surgical and chemoradiotherapy. Expression profiling studies classify IDH-wildtype Glioblastoma into three subtypes: Proneural (PN), mesenchymal (MES) and classical (CL). A promising target to inhibit in Glioblastoma is the non-receptor tyrosine kinase and proto-oncogene SRC. After robust pre-clinical results, SRC inhibitors like dasatinib did not improve survival of Glioblastoma patients after recurrence in clinical trials.
MATERIAL AND METHODS
Consolidating efforts to personalize cancer therapy, we use in silico analyses backed by in vitro and in vivo experiments on Glioblastoma stem-like cells (GSCs) derived from primary patient tumors to present a novel stratification strategy for dasatinib therapy in glioblastoma. To further tackle dasatinib resistance in GSCs, a pooled shRNA library against 5000 genes was combined with dasatinib to identify genes whose knockdown sensitizes GSCs to dasatinib. This was integrated with proteomics and phosphoproteomics data of dasatinib inhibited GSCs.
RESULTS
We found MES tumors with high expression of SERPINH1 to be sensitive to dasatinib inhibition, compared to the CL and PN subtypes. Interestingly, SRC phosphorylation status did not predict the efficacy of dasatinib inhibition. Computational analyses integrating data from the loss-of-function dropout viability screen and proteomics/phosphoproteomics using a novel modification of the SamNet algorithm identified Wee1, a tyrosine kinase involved in cell-cycle signaling, as a potential combination inhibition target with dasatinib. Further validation experiments showed a robust synergistic effect through combination of dasatinib and the wee1 inhibitor, MK-1775 in PN GSCs.
CONCLUSION
This study highlights strategies to optimize dasatinib treatment in different glioblastoma subtypes. While the stratification of patients harboring mesenchymal glioblastoma with SERPINH1 overexpression could provide an option in this particular subtype, combining dasatinib or other SRC inhibitors with Wee1 inhibitors could present an additional possibility for treating resistant proneural tumors
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Affiliation(s)
- O Alhalabi
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M Göttmann
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - M Gold
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, United States
| | - M Fletcher
- Division of Molecular Genetics, Heidelberg Center for Personalized Oncology, German Cancer Research Center, Heidelberg, Germany
| | - T Hielscher
- Division of Biostatistics (C060), German Cancer Research Center, Heidelberg, Germany
| | - M Iskar
- Division of Molecular Genetics, Heidelberg Center for Personalized Oncology, German Cancer Research Consortium, German Cancer Research Center (DKFZ), Heidelberg, Germany, Heidelberg, Germany
| | - T Kessler
- Department of Neurology and Neurooncology Program; National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - E Wittmann
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - S Schlue
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - S Rahman
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - L Hai
- Junior Research Group Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany, Heidelberg, Germany
| | - L Hansen-Palmus
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - L Puccio
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - I Nakano
- Department of Neurosurgery, University of Alabama, Birmingham, AL, United States
| | - C Herold-Mende
- 8Department of Neurosurgery, Division of Experimental Neurosurgery, Heidelberg University Hospital, 69120 Heidelberg, Germany, Heidelberg, Germany
| | - U Baumgartner
- Cell and Molecular Biology Department, QIMR Berghofer Medical Research Institute, Sid Faithfull Brain Cancer Laboratory, Brisbane, Australia
- School of Biomedical Sciences, The University of Queensland, Brisbane, Australia
| | - B Day
- Cell and Molecular Biology Department, QIMR Berghofer Medical Research Institute, Sid Faithfull Brain Cancer Laboratory, Brisbane, Australia
- School of Biomedical Sciences, The University of Queensland, Brisbane, Australia
| | - W Wick
- Department of Neurology and Neurooncology Program; National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - F Sahm
- Department of Neuropathology, Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - E Fraenkel
- Eli and Edythe Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA, United States
| | - E Phillips
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - V Goidts
- Brain Tumor Translational Targets, DKFZ Junior Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Luo X, Wei YQ, Hai L, Hu YC, Zhao ZJ, Ma WL, Ma LN, Liu XY, Ding XC. [A preliminary study of serum marker alpha-enolase in the diagnosis of hepatocellular carcinoma]. Zhonghua Gan Zang Bing Za Zhi 2019; 27:505-510. [PMID: 31357775 DOI: 10.3760/cma.j.issn.1007-3418.2019.07.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the diagnostic value of serum α-enolase (ENO1) in the primary hepatocellular carcinoma. Methods: From May 2012 to March 2017, 163 cases with liver diseases who met the inclusion and exclusion criteria were admitted to the Infectious Diseases Department of the General Hospital of Ningxia Medical University. Among them, 28 cases were of chronic hepatitis B (CHB), 31 cases with liver cirrhosis (LC), 104 cases with hepatocellular carcinoma (HCC), and 18 healthy volunteers (NC). Patient data and serum samples were collected and liver disease related indicators were measured to detect ENO1 levels with enzyme-linked immunosorbent assay (ELISA). The measured indicators were expressed in median. Mann-Whitney U nonparametric test was used to analyze the differences between the data. A Spearman's correlation analysis was used for bivariate correlation analysis. The sensitivity and specificity of ENO1 and alpha-fetoprotein in the diagnosis of liver cancer were analyzed by ROC curve. Results: Serum level of ENO1 in CHB group, LC group and HCC group was significantly higher than normal group. Serum level of ENO1 in HCC group was higher than CHB group (P = 0.001) and LC group (P < 0.01). Area under the curve (AUC) for serum ENO1 and alpha-fetoprotein were 0.782 (cut-off value 75.96, P = 0.000 1) and 0.800 (cut-off value 27.02, P = 0.000 1), respectively. There was a positive correlation between ENO1 and AFP (P = 0.001). The combined detection had significantly improved the detection efficiency (AUC = 0.835). Serum ENO1 was statistically significant (P < 0.05) in HCC tumor size (AUC = 0.663), tumor metastasis (AUC = 0.681), TNM stage (AUC = 0.710, stage I vs. II), and Edmondson grade (AUC = 0.685) (P < 0.05) and the elevated levels of ENO1 had significantly reduced (P < 0.05) the survival time. Conclusion: ENO1 can be a new candidate marker for the diagnosis of early stage HCC and its progression.
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Affiliation(s)
- X Luo
- College of Clinical Medical, Ningxia Medical University, Yinchuan 750004, China; Department of Infectious Diseases, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - Y Q Wei
- Department of General Medicine, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - L Hai
- College of Clinical Medical, Ningxia Medical University, Yinchuan 750004, China
| | - Y C Hu
- Department of Infectious Diseases, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - Z J Zhao
- Department of Medical Experimental Center, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - W L Ma
- Department of Infectious Diseases, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - L N Ma
- Department of Infectious Diseases, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - X Y Liu
- Department of Infectious Diseases, General Hospital of Ningxia Medical University, Yinchuan 750004, China
| | - X C Ding
- College of Clinical Medical, Ningxia Medical University, Yinchuan 750004, China; Department of Infectious Diseases, General Hospital of Ningxia Medical University, Yinchuan 750004, China
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Szwarc M, Lanz R, Hai L, Peavey M, Gibbons W, Kommagani R, DeMayo F, Lydon J. The promyelocytic leukemia Zinc finger transcription factor is required for human endometrial stromal cell decidualization. Fertil Steril 2017. [DOI: 10.1016/j.fertnstert.2017.07.1051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Du H, Yang L, Xu XY, Hai L, Han YQ, Shi YX. Telomere-associated factor expression in replicative senescence of human embryonic lung fibroblasts. Genet Mol Res 2015; 14:9269-76. [PMID: 26345860 DOI: 10.4238/2015.august.10.7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [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
The objective of this study was to find the key regulatory molecules in the cell senescence process through observing the expression of telomere-associated factor during the normal cell replicative senescence process. Based on the established cell replicative senescence model, reverse transcription-polymerase chain reaction and western blot analyses were used to detect telomere-associated factor expression at the mRNA and protein levels, including that of human telomere binding protein 1, tankyrase 1, telomerase RNA, telomere protection protein 1 (POT1), and p53 during the process of human embryonic lung fibroblast replicative senescence. The results showed that transcription of human telomere binding protein 1 did not change with cell senescence, whereas the protein expression of human telomere binding protein 1 increased gradually and then decreased rapidly; there was no change in the mRNA and protein expression of POT1; with the replicative senescence of human embryonic lung fibroblasts, expression of POT1 decreased gradually; TRF1 showed an increasing trend with cell senescence; and p53 protein expression did not change. Together, the results from this study suggest that human telomere binding protein 1, POT1, and TRF1 played important roles in cell senescence.
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Affiliation(s)
- H Du
- Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - L Yang
- Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - X-Y Xu
- Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - L Hai
- Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Y-Q Han
- Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Y-X Shi
- Department of Pathology, Tianjin Fifth Central Hospital, Tangguc, Tianjin, China
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Lei L, Hepeng L, Xianlei L, Hongchao J, Hai L, Sheikhahmadi A, Yufeng W, Zhigang S. Effects of acute heat stress on gene expression of brain–gut neuropeptides in broiler chickens (Gallus gallus domesticus)1. J Anim Sci 2013; 91:5194-201. [DOI: 10.2527/jas.2013-6538] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Affiliation(s)
- L. Lei
- Department of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong 271018, China
| | - L. Hepeng
- Department of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong 271018, China
| | - L. Xianlei
- Department of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong 271018, China
| | - J. Hongchao
- Department of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong 271018, China
| | - L. Hai
- Department of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong 271018, China
| | - A. Sheikhahmadi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj 66177-15175, Iran
| | - W. Yufeng
- Division Livestock–Nutrition–Quality, Department of Biosystems, KU Leuven, Kasteelpark Arenberg 30, 3001 Leuven, Belgium
| | - S. Zhigang
- Department of Animal Science and Technology, Shandong Agricultural University, Taian, Shandong 271018, China
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Wang RX, Hai L, Zhang XY, You GX, Yan CS, Xiao SH. QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai x Yu8679. Theor Appl Genet 2009; 118:313-25. [PMID: 18853131 DOI: 10.1007/s00122-008-0901-5] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2008] [Accepted: 09/20/2008] [Indexed: 05/20/2023]
Abstract
A set of 142 winter wheat recombinant inbred lines (RILs) deriving from the cross Heshangmai x Yu8679 were tried in four ecological environments during the seasons 2006 and 2007. Nine agronomic traits comprising mean grain filling rate (GFR(mean)), maximum grain filling rate (GFR(max)), grain filling duration (GFD), grain number per ear (GNE), grain weight per ear (GWE), flowering time (FT), maturation time (MT), plant height (PHT) and thousand grain weight (TGW) were evaluated in Beijing (2006 and 2007), Chengdu (2007) and Hefei (2007). A genetic map comprising 173 SSR markers and two EST markers was generated. Based on the genetic map and phenotypic data, quantitative trait loci (QTL) were mapped for these agronomic traits. A total of 99 putative QTLs were identified for the nine traits over four environments except GFD, PHT and MT, measured in two environments (BJ07 and CD07), respectively. Of the QTL detected, 17 for GFR(mean), 16 for GFR(max), 21 for TGW and 10 for GWE involving the chromosomes 1A, 1B, 2A, 2D, 3A, 3B, 3D, 4A, 4D, 5A, 5B, 6D and 7D were identified. Moreover, 13 genomic regions showing pleiotropic effects were detected in chromosomes 1A, 1B, 1D, 2A, 2B, 2D, 3A, 3B, 4B, 4D, 5B, 6D and 7D; these QTL revealing pleiotropic effects may be informative for a better understanding of the genetic basis of grain filling rate and other yield-related traits, and represent potential targets for multi-trait marker aided selection in wheat.
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Affiliation(s)
- R X Wang
- National Wheat Improvement Center, The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China.
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Wang RX, Hai L, Zhang XY, You GX, Yan CS, Xiao SH. QTL mapping for grain filling rate and yield-related traits in RILs of the Chinese winter wheat population Heshangmai x Yu8679. Theor Appl Genet 2008. [PMID: 18853131 DOI: 10.1007/s00122‐008‐0901‐5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
A set of 142 winter wheat recombinant inbred lines (RILs) deriving from the cross Heshangmai x Yu8679 were tried in four ecological environments during the seasons 2006 and 2007. Nine agronomic traits comprising mean grain filling rate (GFR(mean)), maximum grain filling rate (GFR(max)), grain filling duration (GFD), grain number per ear (GNE), grain weight per ear (GWE), flowering time (FT), maturation time (MT), plant height (PHT) and thousand grain weight (TGW) were evaluated in Beijing (2006 and 2007), Chengdu (2007) and Hefei (2007). A genetic map comprising 173 SSR markers and two EST markers was generated. Based on the genetic map and phenotypic data, quantitative trait loci (QTL) were mapped for these agronomic traits. A total of 99 putative QTLs were identified for the nine traits over four environments except GFD, PHT and MT, measured in two environments (BJ07 and CD07), respectively. Of the QTL detected, 17 for GFR(mean), 16 for GFR(max), 21 for TGW and 10 for GWE involving the chromosomes 1A, 1B, 2A, 2D, 3A, 3B, 3D, 4A, 4D, 5A, 5B, 6D and 7D were identified. Moreover, 13 genomic regions showing pleiotropic effects were detected in chromosomes 1A, 1B, 1D, 2A, 2B, 2D, 3A, 3B, 4B, 4D, 5B, 6D and 7D; these QTL revealing pleiotropic effects may be informative for a better understanding of the genetic basis of grain filling rate and other yield-related traits, and represent potential targets for multi-trait marker aided selection in wheat.
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Affiliation(s)
- R X Wang
- National Wheat Improvement Center, The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China.
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Hou JG, Jinlong Y, Haiqian W, Qunxiang L, Changgan Z, Hai L, Wang B, Chen DM, Qingshi Z. Hou et al. reply:. Phys Rev Lett 2000; 85:2654. [PMID: 10978137 DOI: 10.1103/physrevlett.85.2654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2000] [Indexed: 05/23/2023]
Affiliation(s)
- JG Hou
- Structure Research Laboratory University of Science and Technology of China Hefei 230026, People's Republic of China and Open Laboratory of Bond Selective Chemistry University of Science and Technology of China Hefei 230026, People's Rep
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Hai L, Sun H, Li Z. [Simultaneous extraction of tea-polyphenols and caffeine from green tea]. Wei Sheng Yan Jiu 1998; 27:195-6. [PMID: 10684130] [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: 02/15/2023]
Abstract
Tea-polyphenols and caffeine were extracted simultaneously from green tea. The factors influencing on the process of impregnation and extraction were studied. The result indicated that the content of tea-polyphenols and caffeine in tea was increased with the duration of extraction and decreased with the frequency of extraction. The authors discuss the effect of pH on the precipition of calcium-tea-polyphenols.
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Affiliation(s)
- L Hai
- Department of Inorganic Chemistry, Xinjiang Medical Collage, Wulumuqi, China
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