1
|
Chen L, Wang G, Nong X, Shao W, Li J, Guo Y, Fan B. Asymmetric 1,4-Addition of Diarylphosphine Oxides to α,β-Unsaturated 2-Acyl Imidazoles. Chemistry 2024:e202401017. [PMID: 38652470 DOI: 10.1002/chem.202401017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 04/25/2024]
Abstract
Here we introduce a metal-free, catalytic and enantioselective strategy from α,β-unsaturated 2-acyl imidazoles to the chiral phosphorous 2-acyl imidazoles. Interestingly, this methodology was catalyzed by the classical and commercial oxazaborolidine under mild conditions. This strategy features a wide range of substrates scope with good yields and excellent enantioselectivities. The possible mechanism further suggests the key of this reaction through the cleavage of diarylphosphine oxides using Frustrated Lewis Pairs theory.
Collapse
Affiliation(s)
- Lirong Chen
- Yunnan Minzu University, School of Chemistry & Environment, CHINA
| | - Guiyong Wang
- Yunnan Minzu University, School of Chemistry & Environment, CHINA
| | - Xiufei Nong
- Yunnan Minzu University, School of Chemistry & Environment, CHINA
| | - Wendi Shao
- Yunnan Minzu University, School of Chemistry & Environment, CHINA
| | - Jiuling Li
- Yunnan Minzu University, School of Chemistry & Environment, CHINA
| | - Yafei Guo
- YNAU: Yunnan Minzu University, School of chemistry and environment, Yuehua street, 650500, kunming, CHINA
| | - Baomin Fan
- Yunnan Minzu University, School of Chemistry & Environment, CHINA
| |
Collapse
|
2
|
Zhong R, Zhou D, Phillips DR, Adams ER, Chen L, Rose JP, Wang BC, Ye ZH. A rice GT61 glycosyltransferase possesses dual activities mediating 2-O-xylosyl and 2-O-arabinosyl substitutions of xylan. Planta 2024; 259:115. [PMID: 38589536 DOI: 10.1007/s00425-024-04396-0] [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] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 03/19/2024] [Indexed: 04/10/2024]
Abstract
MAIN CONCLUSION A member of the rice GT61 clade B is capable of transferring both 2-O-xylosyl and 2-O-arabinosyl residues onto xylan and another member specifically catalyses addition of 2-O-xylosyl residue onto xylan. Grass xylan is substituted predominantly with 3-O-arabinofuranose (Araf) as well as with some minor side chains, such as 2-O-Araf and 2-O-(methyl)glucuronic acid [(Me)GlcA]. 3-O-Arabinosylation of grass xylan has been shown to be catalysed by grass-expanded clade A members of the glycosyltransferase family 61. However, glycosyltransferases mediating 2-O-arabinosylation of grass xylan remain elusive. Here, we performed biochemical studies of two rice GT61 clade B members and found that one of them was capable of transferring both xylosyl (Xyl) and Araf residues from UDP-Xyl and UDP-Araf, respectively, onto xylooligomer acceptors, whereas the other specifically catalysed Xyl transfer onto xylooligomers, indicating that the former is a xylan xylosyl/arabinosyl transferase (named OsXXAT1 herein) and the latter is a xylan xylosyltransferase (named OsXYXT2). Structural analysis of the OsXXAT1- and OsXYXT2-catalysed reaction products revealed that the Xyl and Araf residues were transferred onto O-2 positions of xylooligomers. Furthermore, we demonstrated that OsXXAT1 and OsXYXT2 were able to substitute acetylated xylooligomers, but only OsXXAT1 could xylosylate GlcA-substituted xylooligomers. OsXXAT1 and OsXYXT2 were predicted to adopt a GT-B fold structure and molecular docking revealed candidate amino acid residues at the predicted active site involved in binding of the nucleotide sugar donor and the xylohexaose acceptor substrates. Together, our results establish that OsXXAT1 is a xylan 2-O-xylosyl/2-O-arabinosyl transferase and OsXYXT2 is a xylan 2-O-xylosyltransferase, which expands our knowledge of roles of the GT61 family in grass xylan synthesis.
Collapse
Affiliation(s)
- Ruiqin Zhong
- Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA
| | - Dayong Zhou
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Dennis R Phillips
- Department of Chemistry, University of Georgia, Athens, GA, 30602, USA
| | - Earle R Adams
- Department of Chemistry, University of Georgia, Athens, GA, 30602, USA
| | - Lirong Chen
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - John P Rose
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Bi-Cheng Wang
- Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA, 30602, USA
| | - Zheng-Hua Ye
- Department of Plant Biology, University of Georgia, Athens, GA, 30602, USA.
| |
Collapse
|
3
|
Li Q, Ju M, Shang X, Ma Z, Li W, Wang Y, Chen L, Zhang L, Zhang P, Zheng Y. Broadband and robust Mach-Zehnder interferometer for Rydberg atomic system. Opt Express 2024; 32:5492-5499. [PMID: 38439274 DOI: 10.1364/oe.513946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/02/2024] [Indexed: 03/06/2024]
Abstract
We present a broadband and robust Mach-Zehnder interferometer (MZI) with meter-scale arm length, aiming to acquire the full information of an atomic system. We utilize a pre-loading phase shifter as servo actuator, broadening the servo bandwidth to 108 kHz without sacrificing the size of the piezoelectric transducer (PZT) and mirror. An auxiliary laser at 780 nm, counter-propagating with the probe laser, is employed to achieve arbitrary phase locking of the MZI, boosting a phase accuracy of 0.45 degrees and an Allan deviation of 0.015 degrees, which breaks the current record. By utilizing our robust MZI, the measurement accuracy of atomic system can be theoretically predicted to improve by 2.3 times compared to the most stable MZI in other literatures. In addition, we also demonstrate the sensitivity improvement in imaginary part and real part of the susceptibility in virtue of the completed interferometer, which exhibits tremendous potential in atom-based measurement system.
Collapse
|
4
|
Liu X, Li M, Chen L, Wen F, Zheng S, Ge W. High expression of SHP2 predicts a promising prognosis in colorectal cancer. INDIAN J PATHOL MICR 2024; 67:29-35. [PMID: 38358185 DOI: 10.4103/ijpm.ijpm_894_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024] Open
Abstract
Background Src homology 2 domain-containing phosphatase 2 (SHP2) is hyper-activated in some solid tumors. Previous findings suggest that the expression of SHP2 in colorectal cancer (CRC) may be associated with prognosis. However, validation with large sample data is lacking. Materials and Methods: Tissue microarrays containing 860 CRCs and 197 mucosal tissues adjacent to the tumors were constructed. Immunohistochemistry was used to evaluate the expression of SHP2. Differences between SHP2 expression and clinicopathological parameters were evaluated. Kaplan-Meier survival curves and log-rank tests were used to analyze the relationships between SHP2 expression and the overall survival of patients. A Cox proportional hazard regression model was used for univariate and multivariate analyses of prognostic factors. Results SHP2 expression in CRCs tissues was significantly higher than those in adjacent mucosal tissues (P < 0.001). SHP2 expression was related to tumor differentiation, depth of invasion, distant metastasis, vascular tumor thrombus, lymph node metastasis, and TNM classification (P < 0.05). The prognosis of the high-expression group of SHP2 was significantly better than that of the low-expression group (P = 0.008). Univariate analysis showed that the expression of SHP2 was a prognostic factor for CRC (P = 0.008). Multivariate analysis demonstrated that SHP2 remained an independent prognostic factor for CRC (P = 0.033). Conclusion The expression of SHP2 was significantly higher in CRC tissues than in adjacent normal tissues. High expression of SHP2 was associated with a promising outcome, suggesting that SHP2 may be a favorable prognostic indicator of CRC.
Collapse
Affiliation(s)
- Xibo Liu
- Department of Pathology, Shaoxing People's Hospital, Shaoxing, China
| | - Mengyao Li
- Department of Pathology, Shaoxing People's Hospital, Shaoxing, China
| | - Lirong Chen
- Department of Pathology, China National Ministry of Education), The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fei Wen
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shu Zheng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Weiting Ge
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| |
Collapse
|
5
|
Liu X, Chen L, Wen F, Zheng S, Ge W. Correction to: The high expression of FOXE1 in colorectal cancer predicts a promising prognosis: a retrospective study. Clin Exp Med 2023; 23:5479-5480. [PMID: 37597038 DOI: 10.1007/s10238-023-01160-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/21/2023]
Affiliation(s)
- Xibo Liu
- Department of Pathology, Shaoxing People's Hospital, No. 568, Zhongxing North RoadZhejiang Province, Shaoxing, 312000, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jiefang Road, Hangzhou, 310009, China
| | - Fei Wen
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Shu Zheng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Weiting Ge
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
| |
Collapse
|
6
|
Liu X, Chen L, Wen F, Zheng S, Ge W. The high expression of FOXE1 in colorectal cancer predicts a promising prognosis: a retrospective study. Clin Exp Med 2023; 23:3995-4001. [PMID: 37278933 DOI: 10.1007/s10238-023-01096-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/18/2023] [Indexed: 06/07/2023]
Abstract
Purpose Forkhead box (FOX) family proteins regulate transcription and DNA repair and are involved in cell growth, differentiation, embryogenesis, and lifespan. The transcription factor FOXE1 is a member of the FOX family. The relationship between the expression level of FOXE1 and colorectal cancer (CRC) prognosis remains controversial. It is vital to verify the relationship between FOXE1 expression and the prognosis of patients with CRC. Methods We constructed a tissue microarray containing 879 primary colorectal cancer tissues and 203 normal mucosa samples. The tumor and normal mucosa tissues were stained with FOXE1 by immunohistochemistry, and the staining results were divided into two groups: high expression group and low expression group. Chi-square test was performed for the classification variable of the difference between FOXE1 expression levels and clinicopathological parameters. The survival curve was calculated according to the Kaplan-Meier method and the logarithmic rank test. The Cox proportional risk regression model was used for multivariate analysis of prognostic factors in patients with CRC.Results The expression level of FOXE1 in colorectal cancer was higher than that in the normal mucosa adjacent to cancer, although the difference was not significant. However, the expression of FOXE1 was correlated with tumor size, T stage, N stage, M stage, and pTNM stage. Univariate and multivariate analyses suggested that FOXE1 could be used as an independent prognostic factor in patients with CRC. Conclusions FOXE1 may be a potential independent prognostic factor for colorectal cancer patients.
Collapse
Affiliation(s)
- Xibo Liu
- Department of Pathology, Shaoxing People's Hospital, No. 568, Zhongxing North Road, Shaoxing, 312000, Zhejiang Province, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of Zhejiang University School of Medicine, No.88 Jiefang Road, Hangzhou, 310009, China
| | - Fei Wen
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Shu Zheng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China
| | - Weiting Ge
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, Zhejiang, China.
| |
Collapse
|
7
|
Jiang C, Ge R, Bian C, Chen L, Wang X, Zheng Y, Xu G, Cai G, Xiao X. Multicolored inorganic electrochromic materials: status, challenge, and prospects. Nanoscale 2023; 15:15450-15471. [PMID: 37721398 DOI: 10.1039/d3nr03192f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Against the backdrop of advocacy for green and low-carbon development, electrochromism has attracted academic and industrial attention as an intelligent and energy-saving applied technology due to its optical switching behavior and its special principles of operation. Inorganic electrochromic materials, represented by transition metal oxides, are considered candidates for the next generation of large-scale electrochromic applied technologies due to their excellent stability. However, the limited color diversity and low color purity of these materials greatly restrict their development. Starting from the multicolor properties of inorganic electrochromic materials, this review systematically elaborates on recent progress in the aspects of the intrinsic multicolor of electrochromic materials, and structural multicolor based on the interaction between light and microstructure. Finally, the challenges and opportunities of inorganic electrochromic technology in the field of multicolor are discussed.
Collapse
Affiliation(s)
- Chengyu Jiang
- School of Energy Science and Engineering, University of Science and Technology of China, Hefei 230026, China
- Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Rui Ge
- School of Energy Science and Engineering, University of Science and Technology of China, Hefei 230026, China
- Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Chenchen Bian
- Key Laboratory for Special Functional Materials of Ministry of Education, National & Local Joint Engineering Research Center for High-efficiency Display and Lighting Technology, School of Materials and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China.
| | - Lirong Chen
- School of Energy Science and Engineering, University of Science and Technology of China, Hefei 230026, China
- Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Xingru Wang
- School of Energy Science and Engineering, University of Science and Technology of China, Hefei 230026, China
- Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Yang Zheng
- School of Energy Science and Engineering, University of Science and Technology of China, Hefei 230026, China
- Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Gang Xu
- Guangdong Provincial Key Laboratory of New and Renewable Energy Research and Development, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, China
| | - Guofa Cai
- Key Laboratory for Special Functional Materials of Ministry of Education, National & Local Joint Engineering Research Center for High-efficiency Display and Lighting Technology, School of Materials and Engineering, and Collaborative Innovation Center of Nano Functional Materials and Applications, Henan University, Kaifeng 475004, China.
| | - Xiudi Xiao
- School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510640, China
- State Key Laboratory of Luminescent Materials and Devices, South China University of Technology, Guangzhou 510640, China.
| |
Collapse
|
8
|
Shi Y, Chen L, Gao Q, Li J, Guo Y, Fan B. Application of Oxazaborolidine Catalysts (CBS) on Enantioselective 1,4-Addition of Diarylphosphine Oxides to α,β-Unsaturated Thioesters. Org Lett 2023; 25:6495-6500. [PMID: 37646432 DOI: 10.1021/acs.orglett.3c02138] [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: 09/01/2023]
Abstract
Here, we report the first catalytic enantioselective 1,4-addition of diarylphosphine oxides to α,β-unsaturated thioesters. Importantly, the most common and commercial oxazaborolidine (CBS) was employed as a catalyst for its new application without being activated by strong protonic acids or Lewis acids and led to the chiral thioesters in excellent yields and enantioselectivities. Furthermore, this method features mild reaction conditions (room temperature and air-insensitive), good substrate tolerance, and easy scalability.
Collapse
Affiliation(s)
- Yinrui Shi
- Key Laboratory of Chemistry in Ethnic Medicinal Resources, State Ethnic Affairs Commission & Ministry of Education, Yunnan Minzu University, Kunming 650500, China
| | - Lirong Chen
- Key Laboratory of Chemistry in Ethnic Medicinal Resources, State Ethnic Affairs Commission & Ministry of Education, Yunnan Minzu University, Kunming 650500, China
| | - Qi Gao
- Key Laboratory of Chemistry in Ethnic Medicinal Resources, State Ethnic Affairs Commission & Ministry of Education, Yunnan Minzu University, Kunming 650500, China
| | - Jiuling Li
- School of Chemistry & Environment, Key Laboratory of Advanced Synthetic Chemistry (Yunnan Minzu University) State Ethnic Affairs Commission, Yunnan Minzu University, Kunming 650500, China
| | - Yafei Guo
- School of Chemistry & Environment, Key Laboratory of Advanced Synthetic Chemistry (Yunnan Minzu University) State Ethnic Affairs Commission, Yunnan Minzu University, Kunming 650500, China
| | - Baomin Fan
- School of Chemistry & Environment, Key Laboratory of Advanced Synthetic Chemistry (Yunnan Minzu University) State Ethnic Affairs Commission, Yunnan Minzu University, Kunming 650500, China
| |
Collapse
|
9
|
Seow-En I, Lin W, Chen LR, Tan EKW. Three-port laparoscopic anterior resection for sigmoid cancer with transanal natural orifice specimen extraction (NOSE) and single-stapling colorectal anastomosis. Tech Coloproctol 2023; 27:695-696. [PMID: 36484933 DOI: 10.1007/s10151-022-02736-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 11/25/2022] [Indexed: 12/14/2022]
Affiliation(s)
- I Seow-En
- Department of Colorectal Surgery, Singapore General Hospital, Singapore, Singapore.
| | - W Lin
- Department of Colorectal Surgery, Singapore General Hospital, Singapore, Singapore
| | - L R Chen
- Department of Colorectal Surgery, Singapore General Hospital, Singapore, Singapore
| | - E K-W Tan
- Department of Colorectal Surgery, Singapore General Hospital, Singapore, Singapore
| |
Collapse
|
10
|
Li W, Pan X, Chen L, Cui H, Mo S, Pan Y, Shen Y, Shi M, Wu J, Luo F, Liu J, Li N. Cell metabolism-based optimization strategy of CAR-T cell function in cancer therapy. Front Immunol 2023; 14:1186383. [PMID: 37342333 PMCID: PMC10278966 DOI: 10.3389/fimmu.2023.1186383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/19/2023] [Indexed: 06/22/2023] Open
Abstract
Adoptive cell therapy (ACT) using chimeric antigen receptor (CAR)-modified T cells has revolutionized the field of immune-oncology, showing remarkable efficacy against hematological malignancies. However, its success in solid tumors is limited by factors such as easy recurrence and poor efficacy. The effector function and persistence of CAR-T cells are critical to the success of therapy and are modulated by metabolic and nutrient-sensing mechanisms. Moreover, the immunosuppressive tumor microenvironment (TME), characterized by acidity, hypoxia, nutrient depletion, and metabolite accumulation caused by the high metabolic demands of tumor cells, can lead to T cell "exhaustion" and compromise the efficacy of CAR-T cells. In this review, we outline the metabolic characteristics of T cells at different stages of differentiation and summarize how these metabolic programs may be disrupted in the TME. We also discuss potential metabolic approaches to improve the efficacy and persistence of CAR-T cells, providing a new strategy for the clinical application of CAR-T cell therapy.
Collapse
Affiliation(s)
- Wenshuai Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macao, Macao SAR, China
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Xuanxuan Pan
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Lirong Chen
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Haoshu Cui
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Shaocong Mo
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Yida Pan
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Yuru Shen
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Menglin Shi
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Jianlin Wu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macao, Macao SAR, China
| | - Feifei Luo
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Jie Liu
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, China
| | - Na Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macao, Macao SAR, China
| |
Collapse
|
11
|
Zhao X, Zhao R, Feng Y, Qiu Z, Bai X, Zhang D, Zhou Y, Fang H, Liu N, Chen L, Jia C, Yuan Y, Li X, Duan W, Nie G, Hou Y. The roles EpCAM plays to enhance the malignancy of gastric cancer. J Cancer Res Clin Oncol 2023:10.1007/s00432-023-04767-2. [PMID: 37095412 DOI: 10.1007/s00432-023-04767-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 04/08/2023] [Indexed: 04/26/2023]
Abstract
BACKGROUND Gastric cancer (GC) remains a global challenge due to its high morbidity and mortality rates especially in Asia as well as poor response to treatment. As a member of the adhesion protein family and transmembrane glycoprotein, EpCAM expressed excessively in cancer cells including GC cells. The database assay showed that EpCAM is excessively expressed and easily mutated in cancers, especially in early stage of GC. METHODS To explore the roles EpCAM plays in oncogenesis and progression of GC, the expression of EpCAM was deleted in GC cells with CRISPR/Cas9 method, and then the changes of cell proliferation, apoptosis, motility and motility associated microstructures in EpCAM-deleted GC cells (EpCAM-/-SGC7901) were detected to evaluate the rules EpCAM played. RESULTS The results showed that EpCAM deletion caused cell proliferation, motility and the development of motility-relevant microstructures inhibited significantly, apoptotic trend and contact inhibition enhanced in EpCAM-deleted GC cells. The results of western blot suggested that EpCAM modulates the expression of epithelial/endothelial mesenchymal transition (EMT) correlated genes. All results as above indicated that EpCAM plays important roles to enhance the oncogenesis, malignancy and progression as a GC enhancer. CONCLUSIONS Combining our results and published data together, the interaction of EpCAM with other proteins was also discussed and concluded in the discussion. Our results support that EpCAM can be considered as a novel target for the diagnosis and therapy of GC in future.
Collapse
Affiliation(s)
- Xuewei Zhao
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Ruixia Zhao
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Yang Feng
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Zuchun Qiu
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Xue Bai
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Danying Zhang
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Yujuan Zhou
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Hongming Fang
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Niu Liu
- College of P.E and Sports, Beijing Normal University, Beijing, 100875, China
| | - Lirong Chen
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Chenshuang Jia
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Yue Yuan
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Xinyao Li
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China
| | - Wei Duan
- School of Medicine, Deakin University, Waurn Ponds, VIC, 3216, Australia
| | - Guochao Nie
- Guangxi Key Laboratory of Agricultural Resource Chemistry and Biotechnology, Yulin, 537000, Guangxi, China.
| | - Yingchun Hou
- College of Life Sciences, Shaanxi Normal University, Xi'an, 710119, Shaanxi, China.
| |
Collapse
|
12
|
Chen L, Jia C, Yang H. Causal Effect of Higher Glycated Hemoglobin (HbA1c) Levels on Knee Osteoarthritis Risk: A Mendelian Randomization Study. Rheumatol Ther 2023; 10:239-247. [PMID: 36451030 PMCID: PMC9931980 DOI: 10.1007/s40744-022-00510-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/03/2022] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION The association between diabetes mellitus (DM) and risk of osteoarthritis (OA) is inconsistent based on published observational studies. This study aimed to conduct a two-sample Mendelian randomization (MR) analysis to explore the causal link between glycated hemoglobin (HbA1c) level and OA risk. METHODS Genome-wide association studies (GWAS) summary statistics were obtained from the publicly available Integrative Epidemiology Unit (IEU) OpenGWAS database. A series of screening processes were performed to select qualified instrumental single-nucleotide polymorphisms (SNPs) strongly related to exposure. The inverse-variance-weighted method, weighted-median method, and MR-Egger method were performed to ensure robust and reliable results. The MR-Egger intercept test, Cochran's Q test, and the leave-one-out sensitivity analysis were utilized to assess the horizontal pleiotropy, heterogeneities, and stability of these genetic variants for OA. Odds ratio (OR) and 95% confidence interval (CI) were calculated. RESULTS MR analyses found a robust causal association of genetically determined HbA1c with knee OA (OR = 1.561; 95% CI 1.110-2.197; P = 0.011), but not with hip OA (OR = 1.073; 95% CI 0.674-1.710; P = 0.766) or overall OA (OR = 1.141; 95% CI 0.904-1.441; P = 0.804). Sensitivity analyses showed that there was a strong association between SNPs and HbA1c (F = 21.138), no evidence of heterogeneity (Q = 150.625, P = 0.402), and no potential SNPs affecting the causal link. CONCLUSION Our MR study supported a causal effect of genetically increased HbA1c on knee OA risk.
Collapse
Affiliation(s)
- Lirong Chen
- Department of Rheumatology and Immunology, Wuhan No.1 Hospital, No. 215 Zhongshan Road, Wuhan, 430022, China
| | - Chao Jia
- Department of Rheumatology and Immunology, Wuhan No.1 Hospital, No. 215 Zhongshan Road, Wuhan, 430022, China
| | - Huiqin Yang
- Department of Rheumatology and Immunology, Wuhan No.1 Hospital, No. 215 Zhongshan Road, Wuhan, 430022, China.
| |
Collapse
|
13
|
Wu Z, Wang D, Chen L, Xianyu K, Yang H. Analysis of clinical features and risk factors of peripheral neuropathy in patients with primary Sjögren's syndrome. Eur J Med Res 2023; 28:54. [PMID: 36717930 PMCID: PMC9885688 DOI: 10.1186/s40001-023-01013-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/12/2023] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE To observe the clinical features and efficacy of immunosuppressive therapy in patients with primary Sjögren's syndrome (PSS) combined with peripheral neuropathy (PN) syndrome and to explore the risk factors for PN in patients with PSS. METHODS Sixty consecutive patients with PSS admitted to the Department of Rheumatology and Immunology, Wuhan No. 1 Hospital, from January 2014 to June 2020 were analysed retrospectively. Patients were divided into a PN group (N = 15) and a non-PN group (N = 45). The clinical characteristics of the two groups were compared, and the independent risk factors for PN combined with PSS were analysed by multivariate logistic regression. The patients with PSS combined with PN were followed up to observe the effect of immunosuppressive therapy. RESULTS The patients with PN had a longer course of disease than those without PN (z = - 3.225, P = 0.001), and the incidence of Raynaud's phenomenon, anti-SSB antibody, rheumatoid factor and hyperglobulinaemia was higher (all P < 0.05) in patients with PN than in those without PN. Multivariate logistic regression analysis showed that hyperglobulinaemia, RF and anti-SSB antibodies were independent risk factors for PN with PSS (P < 0.05). Fourteen patients with PSS-PN were treated with immunosuppressants. The clinical symptoms of 10 patients were relieved, and mRS scores of 10 patients were decreased. CONCLUSION PN is a common complication in PSS patients. Patients with PSS combined with PN have a longer course of disease and a significantly higher percentage of Raynaud's phenomenon, positive anti-SSB antibody, positive RF and hyperglobulinaemia. Immunosuppressive therapy was effective for partial remission of PN with PSS.
Collapse
Affiliation(s)
- Zhihong Wu
- grid.33199.310000 0004 0368 7223Department of Rheumatology, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dong Wang
- grid.33199.310000 0004 0368 7223Department of Cardiology, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lirong Chen
- grid.33199.310000 0004 0368 7223Department of Rheumatology, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kaipu Xianyu
- grid.33199.310000 0004 0368 7223Department of Rheumatology, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huiqing Yang
- grid.33199.310000 0004 0368 7223Department of Rheumatology, Wuhan No. 1 Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
14
|
Sun Y, Selvarajan S, Zang Z, Liu W, Zhu Y, Zhang H, Chen W, Chen H, Li L, Cai X, Gao H, Wu Z, Zhao Y, Chen L, Teng X, Mantoo S, Lim TKH, Hariraman B, Yeow S, Alkaff SMF, Lee SS, Ruan G, Zhang Q, Zhu T, Hu Y, Dong Z, Ge W, Xiao Q, Wang W, Wang G, Xiao J, He Y, Wang Z, Sun W, Qin Y, Zhu J, Zheng X, Wang L, Zheng X, Xu K, Shao Y, Zheng S, Liu K, Aebersold R, Guan H, Wu X, Luo D, Tian W, Li SZ, Kon OL, Iyer NG, Guo T. Author Correction: Artificial intelligence defines protein-based classification of thyroid nodules. Cell Discov 2022; 8:100. [PMID: 36180436 PMCID: PMC9525316 DOI: 10.1038/s41421-022-00471-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
|
15
|
Sun Y, Selvarajan S, Zang Z, Liu W, Zhu Y, Zhang H, Chen W, Chen H, Li L, Cai X, Gao H, Wu Z, Zhao Y, Chen L, Teng X, Mantoo S, Lim TKH, Hariraman B, Yeow S, Alkaff SMF, Lee SS, Ruan G, Zhang Q, Zhu T, Hu Y, Dong Z, Ge W, Xiao Q, Wang W, Wang G, Xiao J, He Y, Wang Z, Sun W, Qin Y, Zhu J, Zheng X, Wang L, Zheng X, Xu K, Shao Y, Zheng S, Liu K, Aebersold R, Guan H, Wu X, Luo D, Tian W, Li SZ, Kon OL, Iyer NG, Guo T. Artificial intelligence defines protein-based classification of thyroid nodules. Cell Discov 2022; 8:85. [PMID: 36068205 PMCID: PMC9448820 DOI: 10.1038/s41421-022-00442-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 06/28/2022] [Indexed: 01/21/2023] Open
Abstract
Determination of malignancy in thyroid nodules remains a major diagnostic challenge. Here we report the feasibility and clinical utility of developing an AI-defined protein-based biomarker panel for diagnostic classification of thyroid nodules: based initially on formalin-fixed paraffin-embedded (FFPE), and further refined for fine-needle aspiration (FNA) tissue specimens of minute amounts which pose technical challenges for other methods. We first developed a neural network model of 19 protein biomarkers based on the proteomes of 1724 FFPE thyroid tissue samples from a retrospective cohort. This classifier achieved over 91% accuracy in the discovery set for classifying malignant thyroid nodules. The classifier was externally validated by blinded analyses in a retrospective cohort of 288 nodules (89% accuracy; FFPE) and a prospective cohort of 294 FNA biopsies (85% accuracy) from twelve independent clinical centers. This study shows that integrating high-throughput proteomics and AI technology in multi-center retrospective and prospective clinical cohorts facilitates precise disease diagnosis which is otherwise difficult to achieve by other methods.
Collapse
Affiliation(s)
- Yaoting Sun
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Sathiyamoorthy Selvarajan
- Department of Anatomical Pathology, Division of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Zelin Zang
- School of Engineering, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Wei Liu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No.1 Yunmeng Road, Hangzhou, Zhejiang, China
| | - Yi Zhu
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Hao Zhang
- Department of Thyroid Surgery, the First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Wanyuan Chen
- Cancer Center, Department of Pathology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China
| | - Hao Chen
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No.1 Yunmeng Road, Hangzhou, Zhejiang, China
| | - Lu Li
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Xue Cai
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Huanhuan Gao
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Zhicheng Wu
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Yongfu Zhao
- Department of General Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Xiaodong Teng
- Department of Pathology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Sangeeta Mantoo
- Department of Anatomical Pathology, Division of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Tony Kiat-Hon Lim
- Department of Anatomical Pathology, Division of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Bhuvaneswari Hariraman
- Department of Head and Neck Surgery, National Cancer Center Singapore, Singapore, Singapore
| | - Serene Yeow
- Division of Medical Sciences, National Cancer Center Singapore, Singapore, Singapore
| | - Syed Muhammad Fahmy Alkaff
- Department of Anatomical Pathology, Division of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Sze Sing Lee
- Division of Medical Sciences, National Cancer Center Singapore, Singapore, Singapore
| | - Guan Ruan
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No.1 Yunmeng Road, Hangzhou, Zhejiang, China
| | - Qiushi Zhang
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No.1 Yunmeng Road, Hangzhou, Zhejiang, China
| | - Tiansheng Zhu
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Yifan Hu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No.1 Yunmeng Road, Hangzhou, Zhejiang, China
| | - Zhen Dong
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No.1 Yunmeng Road, Hangzhou, Zhejiang, China
| | - Qi Xiao
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China
| | - Weibin Wang
- Department of Surgical Oncology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Guangzhi Wang
- Department of General Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Junhong Xiao
- Department of General Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Yi He
- Department of Urology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Zhihong Wang
- Department of Thyroid Surgery, the First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Wei Sun
- Department of Thyroid Surgery, the First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yuan Qin
- Department of Thyroid Surgery, the First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jiang Zhu
- Department of Ultrasound, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xu Zheng
- Liaoning Laboratory of Cancer Genetics and Epigenetics and Department of Cell Biology, College of Basic Medical Sciences, Dalian Medical University, Dalian, Liaoning, China
| | - Linyan Wang
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xi Zheng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang, China), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Kailun Xu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang, China), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yingkuan Shao
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang, China), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shu Zheng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences, Zhejiang, China), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Kexin Liu
- Department of Clinical Pharmacology, College of Pharmacy, Dalian Medical University, Dalian, Liaoning, China
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.,Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Haixia Guan
- Department of Endocrinology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Xiaohong Wu
- Department of Endocrinology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou, Zhejiang, China
| | - Dingcun Luo
- Department of Surgical Oncology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Wen Tian
- Department of General Surgery, PLA General Hospital, Beijing, China
| | - Stan Ziqing Li
- School of Engineering, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China. .,Westlake Laboratory of Life Sciences and Biomedicine, Westlake University, Hangzhou, Zhejiang, China.
| | - Oi Lian Kon
- Division of Medical Sciences, National Cancer Center Singapore, Singapore, Singapore.
| | - Narayanan Gopalakrishna Iyer
- Department of Head and Neck Surgery, National Cancer Center Singapore, Singapore, Singapore. .,Division of Medical Sciences, National Cancer Center Singapore, Singapore, Singapore.
| | - Tiannan Guo
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China. .,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China. .,Research Center for Industries of the Future, Westlake University, No.18 Shilongshan Road, Hangzhou, Zhejiang, China.
| |
Collapse
|
16
|
Hou L, Chang L, Chen L, Fei J, Zhou R. Exploring the Roles of Dispositional Mindfulness and Cognitive Reappraisal in the Relationship Between Neuroticism and Depression Among Postgraduate Students in China. Int J Public Health 2022; 67:1605074. [PMID: 36090823 PMCID: PMC9452625 DOI: 10.3389/ijph.2022.1605074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 08/12/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives: Previous studies revealed a positive association between neuroticism and depression. This study further extended the previous findings by exploring the psychological processes underlying this association among Chinese postgraduates. Guided by theoretical models and empirical research, we proposed a multiple mediation and moderated mediation model to investigate the roles of dispositional mindfulness and cognitive reappraisal in the relationship between neuroticism and depression.Methods: Using the NEO Five-Factor Inventory, Beck Depression Inventory, Mindfulness Attention Awareness Scale, and Emotion Regulation Questionnaire, 1103 first-year postgraduates at a comprehensive university in China were surveyed. Path analysis was adopted to test the models.Results: The results showed that dispositional mindfulness mediated the association between neuroticism and depression. Further, this mediating effect was moderated by cognitive reappraisal, with this effect being stronger in individuals with low engagement in cognitive reappraisal.Conclusion: The results support interrelations among neuroticism, depression, dispositional mindfulness, and cognitive reappraisal as moderated mediation rather than multiple mediation. The results enhance our understanding of psychological mechanisms between neuroticism and depression and provide suggestions for interventions to prevent or reduce depression in highly neurotic postgraduates.
Collapse
Affiliation(s)
- Lulu Hou
- Department of Psychology, Nanjing University, Nanjing, China
- Department of Psychology, Shanghai Normal University, Shanghai, China
| | - Lei Chang
- Department of Psychology, Faculty of Social Sciences, University of Macau, Macau, China
| | - Lirong Chen
- Department of Psychology, Nanjing University, Nanjing, China
- Department of Psychology, Suzhou University of Science and Technology, Suzhou, China
| | - Junfeng Fei
- Institute of Education, Nanjing University, Nanjing, China
| | - Renlai Zhou
- Department of Psychology, Nanjing University, Nanjing, China
- State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing, China
- *Correspondence: Renlai Zhou,
| |
Collapse
|
17
|
Hou L, Chen L, Zhou R. Premenstrual syndrome is associated with an altered spontaneous electroencephalographic delta/beta power ratio across the menstrual cycle. Int J Psychophysiol 2022; 181:64-72. [PMID: 36029920 DOI: 10.1016/j.ijpsycho.2022.08.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/16/2022] [Accepted: 08/21/2022] [Indexed: 11/25/2022]
Abstract
Premenstrual syndrome is associated with altered spontaneous brain activity in the late luteal phase, but the fluctuation patterns of brain activity throughout the menstrual cycle have not been revealed. Furthermore, it is also unknown whether the altered spontaneous brain activity during the whole menstrual cycle is further associated with their habitual use of maladaptive emotion regulation strategies. Based on the two reasons, electroencephalogram data and cognitive emotion regulation questionnaire from 32 women with high premenstrual symptoms (HPMS) and 33 women with low premenstrual symptoms (LPMS) were measured in the late luteal and follicular phases. Delta power, theta power, beta power, and the slow/fast wave ratios (SW/FW, including theta/beta power ratio [TBR] and delta/beta power ratio [DBR]) were calculated using both fixed frequency bands and individually adjusted frequency bands (based on the individual alpha peak frequency). The results showed that for the frontal and central DBR, as assessed both with fixed and individualized frequency bands, there was no difference between the two phases of the LPMS group, whereas there was a difference between the two phases of the HPMS group with a higher DBR in the late luteal phase than in the follicular phase. Further correlation results revealed that for women with HPMS in the late luteal phase, the frontal and central DBR values, as assessed both with fixed and individualized frequency bands, were positively correlated with self-blame and rumination. Consequently, HPMS was characterized by a fluctuation across the menstrual cycle in the DBR, which was further associated with maladaptive emotion regulation.
Collapse
Affiliation(s)
- Lulu Hou
- Department of Psychology, Shanghai Normal University, Shanghai 200234, China; Department of Psychology, Nanjing University, Nanjing 210096, China
| | - Lirong Chen
- Department of Psychology, Nanjing University, Nanjing 210096, China; Department of Psychology, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Renlai Zhou
- Department of Psychology, Nanjing University, Nanjing 210096, China; State Key Laboratory of Media Convergence Production Technology and Systems, Beijing 100803, China.
| |
Collapse
|
18
|
Pei D, Chen L, Yao Y, Zeng L, Zhang G. Microneedling combined with compound betamethasone in treatment of severe alopecia areata: A case report. Front Immunol 2022; 13:939077. [PMID: 35990624 PMCID: PMC9381928 DOI: 10.3389/fimmu.2022.939077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 07/11/2022] [Indexed: 12/05/2022] Open
Abstract
Alopecia areata (AA) is a common inflammatory, non-cicatricial hair loss. At present, it is considered that its pathogenesis is an autoimmune disease specific to hair follicle organs mediated by T cells under the combined action of genetic and environmental factors. Treatment is challenging for children with severe AA who are resistant or intolerant to conventional treatment.Here, we treated a 3-year-old child with severe AA with microneedling combined with compound betamethasone. After 6 months of treatment, the patient’s condition was significantly improved, and most of the primary hair loss areas had hair regeneration.
Collapse
Affiliation(s)
- Danning Pei
- Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Candidate Branch of National Clinical Research Center for Skin Diseases, Shijiazhuang, China
| | - Lirong Chen
- Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Candidate Branch of National Clinical Research Center for Skin Diseases, Shijiazhuang, China
| | - Yue Yao
- Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Candidate Branch of National Clinical Research Center for Skin Diseases, Shijiazhuang, China
| | - Linxi Zeng
- Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Candidate Branch of National Clinical Research Center for Skin Diseases, Shijiazhuang, China
| | - Guoqiang Zhang
- Department of Dermatology, The First Hospital of Hebei Medical University, Shijiazhuang, China
- Candidate Branch of National Clinical Research Center for Skin Diseases, Shijiazhuang, China
- *Correspondence: Guoqiang Zhang,
| |
Collapse
|
19
|
Zhang W, Guo S, Liu J, He Y, Song M, Chen L. Linking emotion regulation strategies to employee motivation: The mediating role of guanxi harmony in the Chinese context. Front Psychol 2022; 13:837144. [PMID: 35967625 PMCID: PMC9363703 DOI: 10.3389/fpsyg.2022.837144] [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: 12/16/2021] [Accepted: 07/11/2022] [Indexed: 11/20/2022] Open
Abstract
This study examined the mediating role of guanxi harmony, a concept of interpersonal relationships specific to the Chinese context, between leaders' emotion regulation strategies and employee motivation. Data were drawn from 489 on-the-job MBA students with enough management experience from thirteen different types of cities in China. The study tested the model using hierarchical regression. The results showed that the reappraisal strategy was positively related to employee motivation and the suppression strategy was negatively related to employee motivation in the Chinese context. Guanxi harmony played a partially mediating role between reappraisal and employee motivation, and played a fully mediating role between suppression and employee motivation. These findings suggest that in the Chinese context, guanxi harmony between leaders and employees has a positive effect on employee motivation, and when leaders apply appropriate emotion regulation strategies, they can achieve guanxi harmony and promote employee motivation.
Collapse
Affiliation(s)
- Wenpei Zhang
- Department of Business Administration, School of Business, Anhui University of Technology, Maanshan, China
| | - Shanshan Guo
- Department of Business Administration, School of Business, Anhui University of Technology, Maanshan, China
| | - Jiashu Liu
- Department of Business Administration, School of Business, Anhui University of Technology, Maanshan, China
| | - Ying He
- Department of Business Administration, School of Business, Anhui University of Technology, Maanshan, China
| | - Mengmeng Song
- School of Management, Xi’an Jiaotong University, Xi’an, China
| | - Lirong Chen
- Department of Psychology, Suzhou University of Science and Technology, Suzhou, China
| |
Collapse
|
20
|
Xu C, Sun M, Jin M, Li Z, Qin R, Ren G, Sun W, Chen L, Luan L, Liu Y, Jiang D, Chen L, Luo R, Hou Y. Dual block HER2 assessment increased HER2 immunohistochemistry positive rate in resected specimens of gastric cancer: a prospective multicenter clinical trial from China. Diagn Pathol 2022; 17:54. [PMID: 35765007 PMCID: PMC9238183 DOI: 10.1186/s13000-022-01230-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 05/18/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Former single center studies indicated that HER2 assessment with two primary tumor blocks (dual block HER2 assessment) could be an efficient and practical approach to overcome the adverse impact of heterogeneity and acquire a HER2 positive rate in gastric cancer (GC). This multicenter prospective clinical trial (NCT 02843412) was launched to verify its value and generality.
Methods
A total of 3806 participants with primary GCs have been enrolled from 8 hospitals in China. Two primary tumor blocks were selected and recorded as block 1 and block 2 after histological evaluation. An HER2 (4B5) rabbit monoclonal antibody was used for the immunohistochemistry (IHC) analysis.
Results
In total patients, HER2 IHC positive (3+) rate with dual block assessment (9.4%) was higher than that with single block assessment (block 1: 7.8%, block 2: 7.8%) (P < 0.001). Compared with single-block assessment, dual-block assessment increased the positive rate by approximate 20%. Similarly, HER2 equivocal (2+) rate was increased in dual block assessment (25.8%), which was higher than that in single block assessment (block 1: 20.3%, block 2: 20.9%) (P < 0.001). Conversely, dual block assessment demonstrated a lower HER2 negative (0/1+) rate (64.8%) than single block assessment (block1: 71.9%, block 2: 71.3%) (P < 0.001). These findings were also confirmed in individual hospitals.
Conclusions
Dual block HER2 assessment effectively increased HER2 IHC positive rate in resected specimens of GC. We recommended dual block HER2 assessment be promoted in routine clinical practice in GC.
Trial registration
ClinicalTrials.gov, NCT 02843412. Registered 1 July 2016 - Retrospectively registered.
Collapse
|
21
|
Chen L, Hou L, Zhou R. Eye movement pattern of attention bias to emotional stimuli in women with high premenstrual symptoms. J Behav Ther Exp Psychiatry 2022; 74:101689. [PMID: 34753051 DOI: 10.1016/j.jbtep.2021.101689] [Citation(s) in RCA: 1] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 06/28/2021] [Accepted: 08/28/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND AND OBJECTIVES Premenstrual Syndrome (PMS) refers to a group of symptoms linked to the menstrual cycle. Women with PMS have cognitive mode of rumination, which leads to their attention bias to emotional stimuli. This study investigated the biases for emotional information in women with high premenstrual symptoms (HPMS) compared with women with low premenstrual symptoms (LPMS). METHODS A total of 38 women with HPMS and 44 women with LPMS completed self-report questionnaires and a free viewing task with eye-tracking technology. RESULTS The questionnaire results indicate that women in the HPMS group had higher levels of rumination than those in the LPMS group. The eye-tracking results show that women in the HPMS group had an orientation bias towards negative emotional stimuli in the early cognitive process. In the late cognitive process, women in the HPMS group had accelerated attentional disengagement to positive emotional stimuli and difficult attentional disengagement to negative emotional stimuli. Further correlation analysis revealed positive relationships between the scores of initial fixation latency bias of positive pictures in premenstrual phase and the scores of symptom rumination in both groups and between the scores of initial fixation latency bias of positive pictures in premenstrual phase and the scores of brooding in HPMS group. LIMITATIONS This study used a retrospective questionnaire to assess the symptoms of PMS. CONCLUSIONS Women with HPMS had impaired attentional engagement and disengagement to emotional stimuli compared with women with LPMS, and it may be related to their cognitive mode of rumination.
Collapse
Affiliation(s)
- Lirong Chen
- Department of Psychology, Nanjing University, Nanjing, 210023, China
| | - Lulu Hou
- Department of Psychology, Nanjing University, Nanjing, 210023, China; Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Renlai Zhou
- Department of Psychology, Nanjing University, Nanjing, 210023, China.
| |
Collapse
|
22
|
Chen L, Li R, Wang Z, Zhang Z, Wang J, Qiao Y, Huang Y, Liu W. Lactate-utilizing bacteria ameliorates DSS-induced colitis in mice. Life Sci 2022; 288:120179. [PMID: 34838850 DOI: 10.1016/j.lfs.2021.120179] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [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: 09/10/2021] [Revised: 11/16/2021] [Accepted: 11/21/2021] [Indexed: 02/06/2023]
Abstract
Inflammatory bowel diseases (IBD) stem from alterations in the intestinal immune system and microbial dysbiosis, but the precise interactions between bacteria and IBD remain obscure. The commensal microbiota have a profound impact on human health and diseases. Here, we developed a selective culture medium for lactate-utilizing bacteria (LUB) that function as candidate probiotics to ameliorate IBD using a mouse model. Firstly, LUB, including Megasphaera, were enriched from human faeces using a selective medium with lactate. LUB efficiently attenuated the pathology of colitis induced by dextran sulphate sodium (DSS). Next, LUB administration counteracted the dysbiosis associated with the intestinal inflammatory process, and elevated the proportion of Escherichia-Shigella in intestines. Moreover, E. coli isolated from healthy faeces downstream recapitulated lactate-utilizing bacterial community to ameliorate the severity of DSS-induced acute colitis. In conclusion, our finding revealed that LUB were sufficient to exert inflammatory protection against colitis in mice, highlighting a novel therapeutic strategy to use LUB as potentially curable probiotics for therapeutic manipulation for IBD.
Collapse
Affiliation(s)
- Lirong Chen
- Department of Medical Laboratory Science, Shanxi Medical University Fenyang College, Shanxi 032200, China.
| | - Rong Li
- College of Basic Medicine, Chengde Medical University, Hebei 067000, China
| | - Ziguang Wang
- First Clinical Medical College, Mudanjiang Medical College; Department of Laboratory Medicine, The Second Affiliated Hospital of Mudanjiang Medical College, Heilongjiang 157000, China
| | - Zhiwei Zhang
- Department of Gastroenterology, Shanxi Fenyang Hospital, Shanxi 032200, China
| | - Jie Wang
- Jingle County People's Hospital, Shanxi 035100, China
| | - Yuebing Qiao
- College of Basic Medicine, Chengde Medical University, Hebei 067000, China
| | - Yongcun Huang
- First Clinical Medical College, Mudanjiang Medical College; Department of Laboratory Medicine, The Second Affiliated Hospital of Mudanjiang Medical College, Heilongjiang 157000, China
| | - Wei Liu
- School of Plant Protection, Anhui Agricultural University; Anhui Province Key Laboratory of Crop Integrated Pest Management; Anhui Province Engineering Laboratory for Green Pesticide Development and Application, Anhui 230036, China; Department of Medical Laboratory Science, Shanxi Medical University Fenyang College, Shanxi 032200, China.
| |
Collapse
|
23
|
Shao Y, Xu K, Zheng X, Zhou B, Zhang X, Wang L, Sun Y, Li D, Chen T, Wang J, Yu S, Sun L, Xu X, Dai S, Gao H, Ruan G, Liu W, Cai X, Zhu T, Qi L, Chen J, Hu W, Weng X, Zhu Y, Xiang X, Hu Z, Li J, Chen L, Shao J, Zheng S, Guo T. Proteomics profiling of colorectal cancer progression identifies PLOD2 as a potential therapeutic target. Cancer Commun (Lond) 2021; 42:164-169. [PMID: 34862750 PMCID: PMC8822592 DOI: 10.1002/cac2.12240] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 10/17/2021] [Accepted: 11/22/2021] [Indexed: 11/06/2022] Open
Affiliation(s)
- Yingkuan Shao
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China.,Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Kailun Xu
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China.,Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Xi Zheng
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China.,Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Biting Zhou
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Xiuli Zhang
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, 100190, P. R. China
| | - Lin Wang
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P. R. China
| | - Yaoting Sun
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Dan Li
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Ting Chen
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Jian Wang
- Department of Colorectal Surgery, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, P. R. China
| | - Shaojun Yu
- Department of Colorectal Surgery, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, P. R. China
| | - Lifeng Sun
- Department of Colorectal Surgery, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, P. R. China
| | - Xiaoming Xu
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, P. R. China
| | - Shaozhi Dai
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Huanhuan Gao
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Guan Ruan
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Wei Liu
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Xue Cai
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Tiansheng Zhu
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Lina Qi
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Jiani Chen
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Wangxiong Hu
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Xingyue Weng
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Yi Zhu
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| | - Xueping Xiang
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, P. R. China
| | - Zhiyuan Hu
- CAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, 100190, P. R. China.,School of Nanoscience and Technology, Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100049, P. R. China.,Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, 350108, P. R. China
| | - Jinfan Li
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, P. R. China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310009, P. R. China
| | - Jimin Shao
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China.,Department of Pathology and Pathophysiology, Key Laboratory of Disease Proteomics of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, P. R. China
| | - Shu Zheng
- Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, Department of Breast Surgery and Oncology, Second Affiliated Hospital, School of Medicine, Cancer Institute, Zhejiang University, Hangzhou, Zhejiang, 310009, P. R. China
| | - Tiannan Guo
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang, 310024, P. R. China
| |
Collapse
|
24
|
Sun R, Lyu M, Liang S, Ge W, Wang Y, Ding X, Zhang C, Zhou Y, Chen S, Chen L, Guo T. A prostate cancer tissue specific spectral library for targeted proteomic analysis. Proteomics 2021; 22:e2100147. [PMID: 34799972 DOI: 10.1002/pmic.202100147] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 10/19/2021] [Accepted: 11/03/2021] [Indexed: 11/08/2022]
Abstract
Prostate cancer is the most common cancer in males worldwide. Mass spectrometry-based targeted proteomics has demonstrated great potential in quantifying proteins from formalin-fixed paraffin-embedded (FFPE) and (fresh) frozen biopsy tissues. Here we provide a comprehensive tissue-specific spectral library for targeted proteomic analysis of prostate tissue samples. Benign and malignant FFPE prostate tissue samples were processed into peptide samples by pressure cycling technology (PCT)-assisted sample preparation, and fractionated with high-pH reversed phase liquid chromatography (RPLC). Based on data-dependent acquisition (DDA) MS analysis using a TripleTOF 6600, we built a library containing 108,533 precursors, 84,198 peptides and 9384 unique proteins (1% FDR). The applicability of the library was demonstrated in prostate specimens.
Collapse
Affiliation(s)
- Rui Sun
- Zhejiang University, Hangzhou, Zhejiang, China.,Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Mengge Lyu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Shuang Liang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou, China
| | - Yingrui Wang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xuan Ding
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Cheng Zhang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Yan Zhou
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Shanjun Chen
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., Hangzhou, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Tiannan Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Center for Infectious Disease Research, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| |
Collapse
|
25
|
Ge W, Liang X, Zhang F, Hu Y, Xu L, Xiang N, Sun R, Liu W, Xue Z, Yi X, Sun Y, Wang B, Zhu J, Lu C, Zhan X, Chen L, Wu Y, Zheng Z, Gong W, Wu Q, Yu J, Ye Z, Teng X, Huang S, Zheng S, Liu T, Yuan C, Guo T. Computational Optimization of Spectral Library Size Improves DIA-MS Proteome Coverage and Applications to 15 Tumors. J Proteome Res 2021; 20:5392-5401. [PMID: 34748352 DOI: 10.1021/acs.jproteome.1c00640] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Efficient peptide and protein identifications from data-independent acquisition mass spectrometric (DIA-MS) data typically rely on a project-specific spectral library with a suitable size. Here, we describe subLib, a computational strategy for optimizing the spectral library for a specific DIA data set based on a comprehensive spectral library, requiring the preliminary analysis of the DIA data set. Compared with the pan-human library strategy, subLib achieved a 41.2% increase in peptide precursor identifications and a 35.6% increase in protein group identifications in a test data set of six colorectal tumor samples. We also applied this strategy to 389 carcinoma samples from 15 tumor data sets: up to a 39.2% increase in peptide precursor identifications and a 19.0% increase in protein group identifications were observed. Our strategy for spectral library size optimization thus successfully proved to deepen the proteome coverages of DIA-MS data.
Collapse
Affiliation(s)
- Weigang Ge
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1, Yunmeng Road, Cloud Town, Xihu District, Hangzhou 310024, Zhejiang Province, China
| | - Xiao Liang
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Fangfei Zhang
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Yifan Hu
- Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1, Yunmeng Road, Cloud Town, Xihu District, Hangzhou 310024, Zhejiang Province, China
| | - Luang Xu
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Nan Xiang
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1, Yunmeng Road, Cloud Town, Xihu District, Hangzhou 310024, Zhejiang Province, China
| | - Rui Sun
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Wei Liu
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1, Yunmeng Road, Cloud Town, Xihu District, Hangzhou 310024, Zhejiang Province, China
| | - Zhangzhi Xue
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Xiao Yi
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Westlake Omics (Hangzhou) Biotechnology Co., Ltd., No. 1, Yunmeng Road, Cloud Town, Xihu District, Hangzhou 310024, Zhejiang Province, China
| | - Yaoting Sun
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Bo Wang
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou 310024, Zhejiang Province, China
| | - Jiang Zhu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
| | - Cong Lu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
| | - Xiaolu Zhan
- Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou 310009, Zhejiang Province, China
| | - Yan Wu
- Department of Orthopaedics, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China.,Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou 310020, Zhejiang Province, China
| | - Zhiguo Zheng
- The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China.,Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China
| | - Wangang Gong
- The Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang Province, China.,Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China
| | - Qijun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110000, Liaoning Province, China
| | - Jiekai Yu
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China
| | - Zhaoming Ye
- Department of Orthopaedics, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang Province, China.,Key Laboratory of Motor System Disease Research and Precision Therapy of Zhejiang Province, Hangzhou 310020, Zhejiang Province, China
| | - Xiaodong Teng
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou 310024, Zhejiang Province, China
| | - Shiang Huang
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, Hubei Province, China
| | - Shu Zheng
- Cancer Institute, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China
| | - Tong Liu
- Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang Province, China
| | - Chunhui Yuan
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| | - Tiannan Guo
- Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
| |
Collapse
|
26
|
Yi C, Chen L, Lin Z, Liu L, Shao W, Zhang R, Lin J, Zhang J, Zhu W, Jia H, Qin L, Lu L, Chen J. Lenvatinib Targets FGF Receptor 4 to Enhance Antitumor Immune Response of Anti-Programmed Cell Death-1 in HCC. Hepatology 2021; 74:2544-2560. [PMID: 34036623 DOI: 10.1002/hep.31921] [Citation(s) in RCA: 132] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 05/03/2021] [Accepted: 05/07/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Recently, clinical trials of lenvatinib plus pembrolizumab in HCC have displayed an impressive objective response rate. This study aimed to clarify the mechanism for optimal patient selection. APPROACH AND RESULTS First, in patients with HCC, lenvatinib-treated recurrent tumors had lower programmed death ligand 1 (PD-L1) expression and regulatory T cell (Treg) infiltration compared with matched primary tumors. Consistently, in C57BL/6 wild-type mice receiving anti-programmed cell death 1 (PD-1) therapy, PD-L1 expression and Treg infiltration in s.c. tumors were reduced when adding lenvatinib to the scheme. Mechanistically, on the one hand, FGF receptor 4 (FGFR4) was the most pivotal target in PD-L1 down-regulation by lenvatinib in vitro. Furthermore, lenvatinib reinforced the proteasomal degradation of PD-L1 by blocking the FGFR4-glycogen synthase kinase 3β axis and rescued the sensitivity of interferon-γ-pretreated HCC cells to T-cell killing by targeting FGFR4. On the other hand, the level of IL-2 increased after anti-PD-1 treatment, but IL-2-mediated Treg differentiation was blocked by lenvatinib through targeting FGFR4 to restrain signal transducer and activator of transcription 5 (STAT5) phosphorylation. By regulating the variations in the number of Tregs and the tumor FGFR4 level in C57BL/6-forkhead box protein P3 (Foxp3DTR ) mice, we found that high levels of FGFR4 and Treg infiltration sensitized tumors to the combination treatment. Finally, high levels of FGFR4 and Foxp3 conferred immune tolerance but better response to the combined therapy in patient cohorts. CONCLUSIONS Lenvatinib reduced tumor PD-L1 level and Treg differentiation to improve anti-PD-1 efficacy by blocking FGFR4. Levels of FGFR4 expression and Treg infiltration in tumor could serve as biomarkers for screening patients with HCC using lenvatinib plus anti-PD-1 combination therapy.
Collapse
MESH Headings
- Adult
- Aged
- Animals
- Antibodies, Monoclonal/administration & dosage
- B7-H1 Antigen/metabolism
- Carcinoma, Hepatocellular/drug therapy
- Carcinoma, Hepatocellular/immunology
- Carcinoma, Hepatocellular/metabolism
- Carcinoma, Hepatocellular/pathology
- Cell Differentiation/drug effects
- Cell Line, Tumor
- Cohort Studies
- Disease Models, Animal
- Drug Synergism
- Female
- Humans
- Immunity
- Liver Neoplasms/drug therapy
- Liver Neoplasms/immunology
- Liver Neoplasms/metabolism
- Liver Neoplasms/pathology
- Male
- Mice
- Mice, Inbred C57BL
- Mice, Transgenic
- Middle Aged
- Neoplasm Recurrence, Local/immunology
- Neoplasm Recurrence, Local/metabolism
- Phenylurea Compounds/administration & dosage
- Programmed Cell Death 1 Receptor/antagonists & inhibitors
- Programmed Cell Death 1 Receptor/immunology
- Protein Kinase Inhibitors/administration & dosage
- Quinolines/administration & dosage
- Receptor, Fibroblast Growth Factor, Type 4/metabolism
- Signal Transduction/drug effects
- Signal Transduction/immunology
- T-Lymphocytes, Regulatory/immunology
- Treatment Outcome
Collapse
Affiliation(s)
- Chenhe Yi
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Lirong Chen
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Zhifei Lin
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Lu Liu
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Weiqing Shao
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Rui Zhang
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Jing Lin
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Jubo Zhang
- Department of Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Wenwei Zhu
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Huliang Jia
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Lunxiu Qin
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Lu Lu
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| | - Jinhong Chen
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
- Cancer Metastasis Institute, Fudan University, Shanghai, PR China
| |
Collapse
|
27
|
Song K, Ma X, Xu J, Chen L. Pulmonary tumor with Notochordal differentiation: a case report and morphologic, Immunohistochemical and molecular study of benign Notochordal cell tumor originating in the lung. Diagn Pathol 2021; 16:99. [PMID: 34717660 PMCID: PMC8557492 DOI: 10.1186/s13000-021-01157-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 04/24/2021] [Accepted: 09/25/2021] [Indexed: 11/29/2022] Open
Abstract
Background Extraosseous benign notochordal cell tumor is extremely rare, and there are only five reported cases worldwide. The presented case of pulmonary primary benign notochordal cell tumor is the sixth case, but the first to report the deletion mutation of EGFR gene exon 19. Case presentation The patient was a 50-year-old asymptomatic woman, who had been followed up for 3 years for a nodule in the right lung. After ten months of the wedge resection, the patient is alive without evidence of recurrence or metastasis. The tumor was 7 mm in diameter and was well demarcated. The tumor was consisted of a sheet of large round vacuolated cells with small and bland nuclei. No connective tissue containing blood vessels or inflammatory cell infiltration was detected in the stroma. The tumor was positive for CK AE1/AE3, Vimentin, S100 and Brachyury. EGFR gene mutation and amplification were not detected. Conclusions We firstly reported the positive immunohistochemical staining for EGFR and the negative molecular results of EGFR gene of pulmonary primary benign notochordal cell tumor. Due to the rarity of this tumor, more reports are needed to explore pathological characteristics, especially the molecular characteristics, in order to better understand the nature of tumors.
Collapse
Affiliation(s)
- Kai Song
- Department of Pathology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojing Ma
- Department of Pathology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Jinghong Xu
- Department of Pathology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China.
| |
Collapse
|
28
|
Li W, Peng Y, Yu X, Chen L, Zheng Y. Phase-sensitive manipulation of squeezed vacuum via a dual-recycled Michelson interferometer. Opt Express 2021; 29:34826-34834. [PMID: 34809263 DOI: 10.1364/oe.441139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 09/28/2021] [Indexed: 06/13/2023]
Abstract
The injection of squeezed vacuum state is an indispensable technology for the next generation gravitational wave observatory, which will open up a much larger window to the universe. After analyzing the absorption and dispersion properties of the reflected field of the dual-recycled Michelson interferometer (DRMI), we propose the phase-sensitive manipulation scheme of squeezed vacuum by utilizing the coupled-resonator-induced transparency in a dual-recycled Michelson interferometer (DRMI). In this way, the rotation frequency of squeezing ellipse can be finely tuned by the coupling strength, which overcome the limitation of the current solution (with a fixed rotation frequency) that employs a Fabry-Perot optical cavity as phase-sensitive manipulation element. This work will unleash the potential applications for quantum metrology beyond the shot noise limit.
Collapse
|
29
|
Xiao L, Zhang C, Li X, Jia C, Chen L, Yuan Y, Gao Q, Lu Z, Feng Y, Zhao R, Zhao X, Cheng S, Shu Z, Xu J, Duan W, Nie G, Hou Y. LEF1 Enhances the Progression of Colonic Adenocarcinoma via Remodeling the Cell Motility Associated Structures. Int J Mol Sci 2021; 22:ijms221910870. [PMID: 34639214 PMCID: PMC8509209 DOI: 10.3390/ijms221910870] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 09/27/2021] [Accepted: 10/05/2021] [Indexed: 01/05/2023] Open
Abstract
Lymphoid enhancer-binding factor 1 (LEF1) is a key transcription factor mediating the Wnt signaling pathway. LEF1 is a regulator that is closely associated with tumor malignancy and is usually upregulated in cancers, including colonic adenocarcinoma. The underlying molecular mechanisms of LEF1 regulation for colonic adenocarcinoma progression remain unknown. To explore it, the LEF1 expression in caco2 cells was inhibited using an shRNA approach. The results showed that downregulation of LEF1 inhibited the malignancy and motility associated microstructures, such as polymerization of F-actin, β-tubulin, and Lamin B1 in caco2 cells. LEF1 inhibition suppressed the expression of epithelial/endothelial-mesenchymal transition (EMT) relevant genes. Overall, the current results demonstrated that LEF1 plays a pivotal role in maintaining the malignancy of colonic adenocarcinoma by remodeling motility correlated microstructures and suppressing the expression of EMT-relevant genes. Our study provided evidence of the roles LEF1 played in colonic adenocarcinoma progression, and suggest LEF1 as a potential target for colonic adenocarcinoma therapy.
Collapse
Affiliation(s)
- Li Xiao
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Caixia Zhang
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Xinyao Li
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Chenshuang Jia
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Lirong Chen
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Yue Yuan
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Qian Gao
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Zheng Lu
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Yang Feng
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Ruixia Zhao
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Xuewei Zhao
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Sinan Cheng
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Zhan Shu
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Jie Xu
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
| | - Wei Duan
- School of Medicine, Deakin University, Geelong, VIC 3216, Australia;
| | - Guochao Nie
- Ukraine Joint Research Center for Nano Carbon Black, Yulin 537000, China
- Optoelectronic Information Research Center, School of Physics and Telecommunication Engineering, Yulin Normal University, Yulin 537000, China
- Guangxi Key Laboratory of Agricultural Resource Chemistry and Biotechnology, Yulin 537000, China
- Correspondence: (G.N.); (Y.H.)
| | - Yingchun Hou
- College of Life Sciences, Shaanxi Normal University, Xi’an 710119, China; (L.X.); (C.Z.); (X.L.); (C.J.); (L.C.); (Y.Y.); (Q.G.); (Z.L.); (Y.F.); (R.Z.); (X.Z.); (S.C.); (Z.S.); (J.X.)
- Correspondence: (G.N.); (Y.H.)
| |
Collapse
|
30
|
Li X, Guo Y, Chen L, Liu K, Gong K. Texture and bio-functional characteristics of a Chinese steamed bread prepared from lotus root powder partially replacing wheat flour. Sci Rep 2021; 11:16338. [PMID: 34381161 PMCID: PMC8357799 DOI: 10.1038/s41598-021-95926-3] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 07/28/2021] [Indexed: 11/09/2022] Open
Abstract
Making low GI of the Chinese steamed bread (CSB) with acceptable eating quality is a challenge. A CSB prepared from wheat flour partially substituted by lotus root powder (LRP) showed good prospects. RVA profile and texture profile were determined to evaluate the texture, while animal test were used to confirm the bio-functional attributes. The addition of LRP effectively changed the RVA profile of lotus-wheat incorporated flour (LWIF). CSB prepared from 30% LWIF showed acceptable eating quality with higher springiness, cohesiveness, and recovery while lower hardness. After 12 weeks of 30% LWIF administrating, the fast blood glucose of diabetic rat decreased from 17.6 to 5.8 mmol/L together with the reduction of serum TC, TG and LDL-C. The hepatic histopathological examination and serum levels changes of SOD, CAT and FFA confirmed LWIF could effectively protect the liver of the diabetic rats from damage caused by oxidative stress.
Collapse
Affiliation(s)
- Xiaoyue Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Yuqiu Guo
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Lirong Chen
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Kaichang Liu
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Kuijie Gong
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China.
| |
Collapse
|
31
|
Guo Y, Sun L, Chen L, Wang X, Wang C, Gong K. Applications of waxy corn flour based on physicochemical and processing properties: comparison with waxy rice flour and waxy corn starch. International Journal of Food Engineering 2021. [DOI: 10.1515/ijfe-2019-0170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
The proximate composition, molecular weight distribution and main processing properties of waxy corn flour (WCF) were investigated. Furthermore, waxy corn starch (WCS) and waxy rice flour (WRF) were also determined to discuss the applications of WCF. WCS contained more low-molecular-weight fraction (<5 × 105 g/mol) and had higher polydispesity than waxy rice starch (WRS). The water hydration capacity of WCF was the lowest, whereas it had the highest swelling power at 70 and 80 °C. WCF had the highest pasting temperature of 74.85 °C, whereas that of WRF was 68.40 °C and WCS was 73.25 °C. WRF exhibited the lowest melting enthalpy change with a value of 2.54 ± 0.11 (J/g). The retrogradation resistance of WCF was better than that of WRF and WCS. The degree of retrogradation (DR) of WCF was 9.58 ± 0.59% at 14 d, corresponding to WCS of 25.08 ± 0.44% and WRF of 15.68 ± 0.71%. WRF had the lowest glass transition temperature of −27.4 versus −26.2 °C for WCF and −26.0 °C for WCS. It was found that WCF could be used to directly prepare quick-frozen viscous foods. It could also be used as a stabilizer to improve the quality of staple foods.
Collapse
Affiliation(s)
- Yuqiu Guo
- Crop Research Institute, Shandong Academy of Agricultural Sciences , Jinan , China
| | - Linlin Sun
- Crop Research Institute, Shandong Academy of Agricultural Sciences , Jinan , China
| | - Lirong Chen
- Crop Research Institute, Shandong Academy of Agricultural Sciences , Jinan , China
| | - Xingya Wang
- Crop Research Institute, Shandong Academy of Agricultural Sciences , Jinan , China
| | - Canguo Wang
- Crop Research Institute, Shandong Academy of Agricultural Sciences , Jinan , China
| | - Kuijie Gong
- Crop Research Institute, Shandong Academy of Agricultural Sciences , Jinan , China
| |
Collapse
|
32
|
Chen L, Guo Y, Li X, Gong K, Liu K. Phenolics and related in vitro functional activities of different varieties of fresh waxy corn: a whole grain. BMC Chem 2021; 15:14. [PMID: 33648574 PMCID: PMC7923475 DOI: 10.1186/s13065-021-00740-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 10/09/2019] [Accepted: 02/15/2021] [Indexed: 11/29/2022] Open
Abstract
The polyphenol distribution in fresh waxy corns of different color varieties and their functional activities, which may be useful for treating various chronic diseases, were investigated. The in vitro antioxidant activity, and hypoglycemic and hypocholesterolemic effects of the free and bound corn phenolics were determined to evaluate the edible value of fresh waxy corn. The colored varieties contained more phenols than the common varieties (white and/or yellow). The total free phenolic acid content of the six varieties was 6637.73 µg/g DW (dry weight), which was slightly higher (P > 0.05) than that of the total bound form (6276.65 µg/g DW). The total free flavonoid content was 5850.09 µg/g DW, which was higher (P < 0.05) than that of the total bound form (4874.51µg/g DW). No bound anthocyanin was detected in the methanol extracts of the tested varieties. For all the varieties, free polyphenols contributed 86−100 % and 70−78 % of the 2, 2-diphenyl-1-picrylhydrazyl (DPPH) and hydroxyl radical scavenging abilities, respectively, and 100 % of the ferric reducing capacity. The free phenolics in fresh waxy corn showed better (P < 0.05) hypoglycemic effect than the bound form in terms of inhibition of α-amylase activity, whereas the bound phenolics of most varieties showed higher α-glucosidase inhibitory activity than the free forms. The free phenolics showed better (P < 0.05) glycocholesterol binding than the bound form for all varieties. The bound polyphenols showed better sodium cholate and taurocholate binding than the free form for most varieties. In conclusion, the difference between free and bound polyphenol content and functional activities indicates that fresh waxy corn can be potentially used for the development of functional food.
Collapse
Affiliation(s)
- Lirong Chen
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Yuqiu Guo
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Xiaoyue Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Kuijie Gong
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
| | - Kaichang Liu
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China.
| |
Collapse
|
33
|
Chen L, Yi C, Li W, Tseng Y, Zhang J, Liu J. Inhibition of SPATS2 Suppresses Proliferation and Invasion of Hepatocellular Carcinoma Cells through TRIM44-STAT3 Signaling Pathway. J Cancer 2021; 12:89-98. [PMID: 33391405 PMCID: PMC7738826 DOI: 10.7150/jca.47526] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 04/28/2020] [Accepted: 10/06/2020] [Indexed: 12/16/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is a major global health burden and its treatment options are limited. Spermatogenesis associated serine rich 2(SPATS2), a recent defined oncogene, was found to be a prognostic biomarker in HCC. However, the explicit mechanism underlying SPATS2 was urged to be elucidated. In vitro, knockdown of SPATS2 hampered the proliferation, invasion and migration of HCC cells. Moreover, phosphorylation of signal transducer and activator of transcription 3 (STAT3) and its downstream oncogenes were dramatically suppressed by SPATS2 knockdown. In addition, tripartite motif containing 44 (TRIM44) was found to be positively associated with SPATS2 in TCGA and declined after SPATS2 knockdown in HCC cells. Overexpression of TRIM44 rescued the effect of SPATS2 silencing on p-STAT3 and its downstream oncogenes. In vivo, SPATS2 silencing was confirmed to impede HCC tumor development in nude mice. In our own cohort containing 112 HCC patients, high SPATS2 protein level is indicative of an unfavorable clinicopathological feature and poor prognosis and could serve as an independent risk factor. Collectively, the present study is the first to propose the mechanism of significance of SPATS2-TRIM44-p-STAT3 in HCC and provide a new theoretical basis for targeted therapy.
Collapse
Affiliation(s)
- Lirong Chen
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Chenhe Yi
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Wenshuai Li
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Yujen Tseng
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Jun Zhang
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| | - Jie Liu
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai, PR China
| |
Collapse
|
34
|
Zhang F, Yu S, Wu L, Zang Z, Yi X, Zhu J, Lu C, Sun P, Sun Y, Selvarajan S, Chen L, Teng X, Zhao Y, Wang G, Xiao J, Huang S, Kon OL, Iyer NG, Li SZ, Luan Z, Guo T. Phenotype Classification using Proteome Data in a Data-Independent Acquisition Tensor Format. J Am Soc Mass Spectrom 2020; 31:2296-2304. [PMID: 33104352 DOI: 10.1021/jasms.0c00254] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
A novel approach for phenotype prediction is developed for data-independent acquisition (DIA) mass spectrometric (MS) data without the need for peptide precursor identification using existing DIA software tools. The first step converts the DIA-MS data file into a new file format called DIA tensor (DIAT), which can be used for the convenient visualization of all the ions from peptide precursors and fragments. DIAT files can be fed directly into a deep neural network to predict phenotypes such as appearances of cats, dogs, and microscopic images. As a proof of principle, we applied this approach to 102 hepatocellular carcinoma samples and achieved an accuracy of 96.8% in distinguishing malignant from benign samples. We further applied a refined model to classify thyroid nodules. Deep learning based on 492 training samples achieved an accuracy of 91.7% in an independent cohort of 216 test samples. This approach surpassed the deep-learning model based on peptide and protein matrices generated by OpenSWATH. In summary, we present a new strategy for DIA data analysis based on a novel data format called DIAT, which enables facile two-dimensional visualization of DIA proteomics data. DIAT files can be directly used for deep learning for biological and clinical phenotype classification. Future research will interpret the deep-learning models emerged from DIAT analysis.
Collapse
Affiliation(s)
- Fangfei Zhang
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang Province, China
| | - Shaoyang Yu
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
- Sino-German Joint Software Institute (JSI), Beihang University, Beijing 100191, China
| | - Lirong Wu
- Center for AI Research and Innovation (CAIRI), School of Engineering, Westlake University, Hangzhou 310024, China
| | - Zelin Zang
- Center for AI Research and Innovation (CAIRI), School of Engineering, Westlake University, Hangzhou 310024, China
| | - Xiao Yi
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang Province, China
| | - Jiang Zhu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Cong Lu
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Ping Sun
- Department of Hepatobiliary Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Yaoting Sun
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang Province, China
| | | | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou 310009, China
| | - Xiaodong Teng
- Department of Pathology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Yongfu Zhao
- Department of General Surgery, The Second Hospital of Dalian Medical University, Dalian 116027, China
| | - Guangzhi Wang
- Department of General Surgery, The Second Hospital of Dalian Medical University, Dalian 116027, China
| | - Junhong Xiao
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
| | - Shiang Huang
- Center for Stem Cell Research and Application, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei, China
| | - Oi Lian Kon
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
| | - N Gopalakrishna Iyer
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
- Division of Medical Sciences, National Cancer Centre Singapore, Singapore 169610, Republic of Singapore
| | - Stan Z Li
- Center for AI Research and Innovation (CAIRI), School of Engineering, Westlake University, Hangzhou 310024, China
| | - Zhongzhi Luan
- Sino-German Joint Software Institute (JSI), Beihang University, Beijing 100191, China
| | - Tiannan Guo
- Zhejiang Provincial Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou 310024, Zhejiang Province, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou 310024, Zhejiang Province, China
| |
Collapse
|
35
|
Chen LR, Zhang GB, Xie GD, Xu N, Su PY. [Study on the relationships between precollege sexual abuse experiences at different stages and adult attachment in college students]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:1098-1103. [PMID: 33115196 DOI: 10.3760/cma.j.cn112150-20200615-00880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Objective: To explore the association between precollege sexual abuse experiences at different periods and adult attachment in college students. Methods: In October 2018,a total of 4 034 college students were selected from 4 colleges in Hefei City by using the stratified cluster sampling method. A self-designed questionnaire was used to investigate the demographic characteristics, sexual abuse experience, and attachment style of participants. Multivariate linear regression analysis was performed to analyze the association between different periods, types of precollege sexual abuse experiences and attachment style in college students. Results: The rate of total precollege sexual abuse, noncontact sexual abuse, and contact sexual abuse was 14.1% (569), 12.7% (512) and 5.4% (219), respectively. Multivariate linear regression analysis showed that secure attachment [β(95%CI)=-0.205 (-0.292, -0.117)] was negatively correlated with total precollege sexual abuse experiences, whereas anxiety attachment [β(95%CI)=0.211 (0.110, 0.310)], avoidant attachment [β(95%CI)=0.117 (0.020, 0.216)] were positively correlated with total precollege sexual abuse experiences. The number of periods of precollege noncontact sexual abuse was negatively correlated with secure attachment [β(95%CI)=-0.106(-0.171, -0.041)]and positively correlated with anxiety attachment [β(95%CI)=0.158 (0.084, 0.231)]and avoidant attachment [β(95%CI)=0.080 (0.008, 0.152)]. The noncontact [β(95%CI)=0.427 (0.018, 0.775)] and contact sexual abuse [β(95%CI)=0.468 (0.251, 0.687)] in high school were positively correlated with anxiety attachment (P<0.05). Conclusion: Different periods, types of precollege sexual abuse experiences were all associated with adult attachment in college students.
Collapse
Affiliation(s)
- L R Chen
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University/Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China/Provincial Key Laboratory of Population Health & Aristogenics, Hefei 230032, China
| | - G B Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University/Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China/Provincial Key Laboratory of Population Health & Aristogenics, Hefei 230032, China
| | - G D Xie
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University/Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China/Provincial Key Laboratory of Population Health & Aristogenics, Hefei 230032, China
| | - N Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University/Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China/Provincial Key Laboratory of Population Health & Aristogenics, Hefei 230032, China
| | - P Y Su
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University/Key Laboratory of Population Health Across Life Cycle (Anhui Medical University),Ministry of Education of the People's Republic of China/Provincial Key Laboratory of Population Health & Aristogenics, Hefei 230032, China
| |
Collapse
|
36
|
Liu H, Chen L, Wang ET, Liu Y, Zhang L, Zhao K, Gu Y, Yu X, Ma M, Penttinen P, Zhang X, Huang M, Deng L, Chen Q. Combined Microbial Consortium Inoculation and Black Locust Planting Is Effective in the Bioremediation of Waste Drill Cuttings. Front Microbiol 2020; 11:536787. [PMID: 33101222 PMCID: PMC7555700 DOI: 10.3389/fmicb.2020.536787] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 09/04/2020] [Indexed: 12/02/2022] Open
Abstract
Waste drill cuttings (WDCs), produced during gas and oil drilling consisting of 80% rock cuttings and 20% drilling muds, are an increasingly potent source of environmental pollution. We studied the efficiency of bioaugmentation and phytoremediation to remediate WDCs in an experiment where WDCs were incubated in a greenhouse for 120 days with and without black locust (Robinia pseudoacacia) plant and with or without bacterial and fungal consortium inoculant. The pollutant removal rates were highest in inoculated and planted treatment, followed by inoculated treatment and planted treatment. The small decrease in contaminant level in the control treatment suggested that indigenous microorganisms in WDCs had little pollutant degradation capability. In the inoculated and planted treatments, after 120 days, the germination rate of red clover seeds was on the same level as in the natural soil, showing a marked decrease in the ecotoxicity of WDC. Both the bacterial and fungal richness and bacterial diversity increased in all the treatments over time, whereas fungal diversity increased only in the not-inoculated treatments. The activity of laccase enzyme played a key role in the bioremediation process. The enzyme activities were mostly governed by inoculated consortium and soil bacterial community, and black locust affected the bioremediation mainly through its effect on N content that further affected bacterial and fungal communities.
Collapse
Affiliation(s)
- Hanjun Liu
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China.,Safety and Environmental Protection Quality Supervision and Testing Research Institute, CNPC Chuanqing Drilling Engineering Co. Ltd., Guanghan, China
| | - Lirong Chen
- Safety and Environmental Protection Quality Supervision and Testing Research Institute, CNPC Chuanqing Drilling Engineering Co. Ltd., Guanghan, China
| | - En T Wang
- Departamento de Microbiologia, Escuela Nacional de Ciencias Biologicas, Instituto Politecnico Nacional, Mexico City, Mexico
| | - Yihao Liu
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Lingzi Zhang
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Ke Zhao
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Yunfu Gu
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xiumei Yu
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Menggen Ma
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Petri Penttinen
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Xiaoping Zhang
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Min Huang
- Safety and Environmental Protection Quality Supervision and Testing Research Institute, CNPC Chuanqing Drilling Engineering Co. Ltd., Guanghan, China
| | - Liangji Deng
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| | - Qiang Chen
- College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, China
| |
Collapse
|
37
|
Rose J, Zhou D, Fu ZQA, Jin Z, Gonczy J, Chrzas J, Kandavelu P, Salazar R, Gul M, Chen L, Wang BC, Chinte U. High-resolution crystal structures of recombinant wild-type and selenomethione-labeled bovine trypsin (S195A) mutant reveals no electron density for three surface loops that includes the C191–C220 disulfide. Acta Crystallogr A Found Adv 2020. [DOI: 10.1107/s0108767320097949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
|
38
|
Liu W, Liu Y, Cheng Y, Chen L, Yu L, Yi X, Duan H. Unified Model for Size-Dependent to Size-Independent Transition in Yield Strength of Crystalline Metallic Materials. Phys Rev Lett 2020; 124:235501. [PMID: 32603175 DOI: 10.1103/physrevlett.124.235501] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Revised: 05/14/2020] [Accepted: 05/18/2020] [Indexed: 06/11/2023]
Abstract
Size-dependent yield strength is a common feature observed in miniaturized crystalline metallic samples, and plenty of studies have been conducted in experiments and numerical simulations to explore the underlying mechanism. However, the transition in yield strength from bulklike to size-affected behavior has received less attention. Here a unified theoretical model is proposed to probe the yield strength of crystalline metallic materials with sample size from nanoscale to macroscale. We show that the transition in yield strength versus size can be fully explained by the competition between the stresses required for dislocation source activation and dislocation motion, which is regulated by dislocation density, irradiation defect, grain boundary, and so on. Based on various grain boundary densities, the extended Hall-Petch relation, incorporated into the unified model, captures the reverse size effect for polycrystalline samples. The proposed model predictions agree well with reported experimental measurements of various specimens, including the prestrained nickel, irradiated copper, ultrafine grain tungsten, and so on.
Collapse
Affiliation(s)
- Wenbin Liu
- State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Ying Liu
- State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Yangyang Cheng
- State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Lirong Chen
- State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Long Yu
- State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Xin Yi
- State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China
| | - Huiling Duan
- State Key Laboratory for Turbulence and Complex Systems, Department of Mechanics and Engineering Science, BIC-ESAT, College of Engineering, Peking University, Beijing 100871, People's Republic of China
- CAPT, HEDPS, and IFSA Collaborative Innovation Center of MoE, Peking University, Beijing 100871, People's Republic of China
| |
Collapse
|
39
|
Chen L, Feng W, Fan J, Zhang K, Gu Z. Removal of silver nanoparticles in aqueous solution by activated sludge: Mechanism and characteristics. Sci Total Environ 2020; 711:135155. [PMID: 32000348 DOI: 10.1016/j.scitotenv.2019.135155] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 10/09/2019] [Accepted: 10/22/2019] [Indexed: 06/10/2023]
Abstract
The increasing production and use of silver nanoparticles (AgNPs) have attracted more and more attention due to their environmental and health risks. Municipal sewage biological treatment unit has been playing an important role in the removal of AgNPs. This study investigated the mechanism and characteristics of AgNPs and their removal from aqueous solution by activated sludge. Results from Scanning Electron Microscope and Energy Dispersive Spectrometer (SEM/EDS) showed that mixed AgNPs were immobilized by activated sludge. It was shown by X-ray photoelectron spectroscopy (XPS) that the fixed AgNPs had an oxidation state of +1. It was inferred by fourier transform infra-red (FTIR) spectra that AgNPs were adsorbed by activated sludge via binding with its primary amino (R-NH2) radical groups on the surface. These results revealed that the major mechanism for the removal of AgNPs by activated sludge was adsorption. The experiment data were in agreement with the Langmuir and Redlich-Peterson isotherms. The maximum adsorption capacity ranged from 12-32 mg g-1 at temperatures of 10-30 °C. Thermodynamic experiment showed that the adsorption of AgNPs by activated sludge was a spontaneous and endothermic reaction. The adsorption kinetics data were in good agreement with the pseudo-second-order model. The factor results indicated that the adsorption of AgNPs onto activated sludge was influenced by electrostatic repulsion, agglomeration, and the process of oxidation and sulfurization.
Collapse
Affiliation(s)
- Lirong Chen
- Inner Mongolia University of Science and Technology, School of Energy and Environment, Baotou, Inner Mongolia Autonomous Region 014010, China
| | - Wenrui Feng
- Inner Mongolia University of Science and Technology, School of Energy and Environment, Baotou, Inner Mongolia Autonomous Region 014010, China
| | - Jian Fan
- Inner Mongolia University of Science and Technology, School of Energy and Environment, Baotou, Inner Mongolia Autonomous Region 014010, China.
| | - Kai Zhang
- Inner Mongolia University of Science and Technology, School of Energy and Environment, Baotou, Inner Mongolia Autonomous Region 014010, China.
| | - Zhenchao Gu
- Inner Mongolia University of Science and Technology, School of Energy and Environment, Baotou, Inner Mongolia Autonomous Region 014010, China
| |
Collapse
|
40
|
Ge W, Hu H, Cai W, Xu J, Hu W, Weng X, Qin X, Huang Y, Han W, Hu Y, Yu J, Zhang W, Ye S, Qi L, Huang P, Chen L, Ding K, Wang LD, Zheng S. High-risk Stage III colon cancer patients identified by a novel five-gene mutational signature are characterized by upregulation of IL-23A and gut bacterial translocation of the tumor microenvironment. Int J Cancer 2020; 146:2027-2035. [PMID: 31693169 DOI: 10.1002/ijc.32775] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [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: 05/17/2019] [Revised: 10/01/2019] [Accepted: 10/30/2019] [Indexed: 12/11/2022]
Abstract
The heterogeneities of colorectal cancer (CRC) lead to staging inadequately of patients' prognosis. Here, we performed a prognostic analysis based on the tumor mutational profile and explored the characteristics of the high-risk tumors. We sequenced 338 colorectal carcinomas as the training dataset, constructed a novel five-gene (SMAD4, MUC16, COL6A3, FLG and LRP1B) prognostic signature, and validated it in an independent dataset from The Cancer Genome Atlas (TCGA). Kaplan-Meier and Cox regression analyses confirmed that the five-gene signature is an independent predictor of recurrence and prognosis in patients with Stage III colon cancer. The mutant signature translated to an increased risk of death (hazard ratio = 2.45, 95% confidence interval = 1.15-5.22, p = 0.016 in our dataset; hazard ratio = 4.78, 95% confidence interval = 1.33-17.16, p = 0.008 in TCGA dataset). RNA and bacterial 16S rRNA sequencing of high-risk tumors indicated that mutations of the five-gene signature may lead to intestinal barrier integrity, translocation of gut bacteria and deregulation of immune response and extracellular related genes. The high-risk tumors overexpressed IL23A and IL1RN genes and enriched with cancer-related bacteria (Bacteroides fragilis,Peptostreptococcus, Parvimonas, Alloprevotella and Gemella) compared to the low-risk tumors. The signature identified the high-risk group characterized by gut bacterial translocation and upregulation of interleukins of the tumor microenvironment, which was worth further researching.
Collapse
Affiliation(s)
- Weiting Ge
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hanguang Hu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Medical Oncology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Wen Cai
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Medical Oncology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jinhong Xu
- Department of Pathology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Wangxiong Hu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xingyue Weng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xin Qin
- Medical College, Hubei University of Arts and Science, Xiangyang, China
| | - Yanqin Huang
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Weidong Han
- Department of Medical Oncology, Biomedical Research Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yeting Hu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Surgical Oncology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jiekai Yu
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Wufeng Zhang
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Sisi Ye
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lina Qi
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Pingjie Huang
- State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China
| | - Lirong Chen
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Pathology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Kefeng Ding
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Surgical Oncology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Li Dong Wang
- Henan Key Laboratory for Esophageal Cancer Research of the First Affiliated Hospital, State Key Laboratory for Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan, China
| | - Shu Zheng
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| |
Collapse
|
41
|
Sun R, Hunter C, Chen C, Ge W, Morrice N, Liang S, Zhu T, Yuan C, Ruan G, Zhang Q, Cai X, Yu X, Chen L, Dai S, Luan Z, Aebersold R, Zhu Y, Guo T. Accelerated Protein Biomarker Discovery from FFPE Tissue Samples Using Single-Shot, Short Gradient Microflow SWATH MS. J Proteome Res 2020; 19:2732-2741. [PMID: 32053377 DOI: 10.1021/acs.jproteome.9b00671] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
We reported and evaluated a microflow, single-shot, short gradient SWATH MS method intended to accelerate the discovery and verification of protein biomarkers in preclassified clinical specimens. The method uses a 15 min gradient microflow-LC peptide separation, an optimized SWATH MS window configuration, and OpenSWATH software for data analysis. We applied the method to a cohort containing 204 FFPE tissue samples from 58 prostate cancer patients and 10 benign prostatic hyperplasia patients. Altogether we identified 27,975 proteotypic peptides and 4037 SwissProt proteins from these 204 samples. Compared to a reference SWATH method with a 2 h gradient, we found 3800 proteins were quantified by the two methods on two different instruments with relatively high consistency (r = 0.77). The accelerated method consumed only 17% instrument time, while quantifying 80% of proteins compared to the 2 h gradient SWATH. Although the missing value rate increased by 20%, batch effects reduced by 21%. 75 deregulated proteins measured by the accelerated method were selected for further validation. A shortlist of 134 selected peptide precursors from the 75 proteins were analyzed using MRM-HR, and the results exhibited high quantitative consistency with the 15 min SWATH method (r = 0.89) in the same sample set. We further verified the applicability of these 75 proteins in separating benign and malignant tissues (AUC = 0.99) in an independent prostate cancer cohort (n = 154). Altogether, the results showed that the 15 min gradient microflow SWATH accelerated large-scale data acquisition by 6 times, reduced batch effect by 21%, introduced 20% more missing values, and exhibited comparable ability to separate disease groups.
Collapse
Affiliation(s)
- Rui Sun
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | | | | | - Weigang Ge
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | | | - Shuang Liang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | - Tiansheng Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | - Chunhui Yuan
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | - Guan Ruan
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | - Qiushi Zhang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | - Xue Cai
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | - Xiaoyan Yu
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Shaozheng Dai
- School of Computer Science and Engineering, Beihang University, Beijing 100083, China
| | - Zhongzhi Luan
- School of Computer Science and Engineering, Beihang University, Beijing 100083, China
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, 8049 Zurich, Switzerland.,Faculty of Science, University of Zurich, 8006 Zurich, Switzerland
| | - Yi Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| | - Tiannan Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, 18 Shilongshan Road, Hangzhou, Zhejiang 310024, China
| |
Collapse
|
42
|
Wen Y, Zhou P, Xu Z, Yuan L, Wang M, Wang S, Chen L, Wang H. Cavity-enhanced and long-lived optical memories for two orthogonal polarizations in cold atoms. Opt Express 2020; 28:360-368. [PMID: 32118964 DOI: 10.1364/oe.376962] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 12/18/2019] [Indexed: 06/10/2023]
Abstract
The storage and retrieval efficiency (SRE) and lifetime of optical quantum memories are two key performance indicators for scaling up quantum information processing. Here, we experimentally demonstrate a cavity-enhanced long-lived optical memory for two polarizations in a cold atomic ensemble. Using electromagnetically induced-transparency (EIT) dynamics, we demonstrate the storages of left-circularly and right-circularly polarized signal light pulses in the atoms, respectively. By making the signal and control beams collinearly pass through the atoms and storing the two polarizations of the signal light as two magnetic-field-insensitive spin waves, we achieve a long-lived (3.5 ms) memory. By placing a low-finesse optical ring cavity around the cold atoms, the coupling between the signal light and the atoms is enhanced, which leads to an increase in SRE. The presented cavity-enhanced storage shows that the SRE is ∼30%, corresponding to an intrinsic SRE of ∼45%.
Collapse
|
43
|
Hou L, Chang L, Chen L, Zhou R. Reduced Reward Responsiveness in Women With Moderate - to - Severe Premenstrual Syndrome: Evidence From a Probabilistic Reward Task. Front Psychiatry 2020; 11:28. [PMID: 32116845 PMCID: PMC7031199 DOI: 10.3389/fpsyt.2020.00028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 01/10/2020] [Indexed: 11/27/2022] Open
Abstract
Nearly 50% of women of reproductive age worldwide experience premenstrual syndrome (PMS). Women with PMS exhibit low positive affect and low frontal electroencephalography asymmetry scores, both of which are associated with reward processing. These findings suggest that women with PMS may exhibit deficiencies in reward processing. A probabilistic reward task based on signal detection approach was used to assess reward responsiveness in 30 women with moderate-to-severe PMS and 31 controls without PMS. The results revealed that in the late luteal phase, the women with moderate-to-severe PMS exhibited lower response bias and lower hit rate toward more frequently rewarded stimuli (rich stimuli) than the controls. By contrast, the response bias and hit rate did not differ between the two groups in the follicular phase. The group differences still remained after controlling for anhedonic symptoms. Furthermore, trial-by-trial probability analyses revealed that women with moderate-to-severe PMS exhibited a trend of having a higher miss rate for rich stimuli than the controls. In particular, when a rich stimulus was preceded by an infrequently rewarded stimulus (a rewarded lean stimulus), participants in the PMS group exhibited a trend for higher miss rate than those in the control group in the late luteal and follicular phases. However, group differences in the probability analyses were nonsignificant after controlling for anhedonic symptoms. These results provide preliminary evidence that women with moderate-to-severe PMS exhibit dysfunctional reward responsiveness and impaired ability to modulate their behavior as a function of prior reinforcement.
Collapse
Affiliation(s)
- Lulu Hou
- Department of Psychology, Nanjing University, Nanjing, China
| | - Lei Chang
- Department of Psychology, Faculty of Social Sciences, University of Macau, Macau, China
| | - Lirong Chen
- Department of Psychology, Nanjing University, Nanjing, China
| | - Renlai Zhou
- Department of Psychology, Nanjing University, Nanjing, China
| |
Collapse
|
44
|
Wang LY, Chen LR, Dai XZ, Cao J, Gao T, Yao K, Ye J. [A clinicopathological classification analysis of ocular mass lesions in 7 910 cases]. Zhonghua Yan Ke Za Zhi 2019; 55:847-853. [PMID: 31715682 DOI: 10.3760/cma.j.issn.0412-4081.2019.11.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the anatomical region, histopathological classification and histogensis distribution of ocular mass lesions in South China. Methods: Retrospective cases study. The clinical and pathological data of 7 910 samples with ocular (adnexal) tumors or proliferative lesions which were examined from January 2000 to May 2018 were retrospectively retrieved. The constituent ratios of ocular mass lesions in different anatomical regions and histogenesis have been analyzed. Results: There were 3 445 males and 4 465 females aged from 3 months to 106 years. Classification by anatomical region. Eyelid 4 976 cases (62.9%): benign-pigmented nevus (31.7%, 1 342/4 235), squamous cell papilloma (12.3%, 519/4 235), seborrheic keratosis (9.4%, 396/4 235); malignant-basal cell carcinoma (48.5%, 359/741), sebaceous gland carcinoma (34.4%, 255/741), squamous cell carcinoma (12.3%, 91/741). Ocular surface 1 449 cases (18.3%): benign-pigmented nevus (26.6%, 359/1 348), squamous cell papilloma (12.8%, 173/1 348); malignant-lymphoma (34.7%, 35/101), squamous cell carcinoma (30.7%, 31/101).Orbit 1 485 cases (18.8%): benign-hemangioma (28.5%, 332/1 167), lacrimal gland (duct) cyst(13.2%, 154/1 167); malignant-lymphoma (44.7%, 142/318), adenoid cystic carcinoma (10.1%, 32/318). Classification by histogenesis: epithelial 2 145 cases (27.1%), cutaneous appendages 378 cases (4.8%), cystoid 1 068 cases (13.5%), mesenchymal 748 cases (9.5%), lymph-hematopoietic 225 cases (2.8%), neurogenic 31 cases (0.4%), melanocytic 1 765 cases (22.3%), others 1 550 cases (19.6%). Conclusions: Over the past 18 years, the ocular tumors identified at the Second Affiliated Hospital, Zhejiang University School of Medicine most frequently occur in eyelid and originate from epithelium. The most common types are as followings. Benign lesions: pigmented nevus, squamous cell papilloma are the most common types for eyelid and ocular surface, whereas hemangioma, lacrimal gland (duct) cyst and epidermoid cyst are the most common types for orbit. Malignant cancers: basal cell carcinoma is the most prevalent disease in eyelid, whereas lymphoma occurs more frequently in ocular surface and orbit. (Chin J Ophthalmol, 2019, 55: 847-853).
Collapse
Affiliation(s)
- L Y Wang
- Department of Ophthalmology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - L R Chen
- Department of Pathology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - X Z Dai
- Department of Ophthalmology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - J Cao
- Department of Ophthalmology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - T Gao
- Department of Ophthalmology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - K Yao
- Department of Ophthalmology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| | - J Ye
- Department of Ophthalmology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
| |
Collapse
|
45
|
Abstract
1. PercollTM is one of the most widely used colloid for animal sperm preparation. The aim of this study was to evaluate whether PercollTM colloid centrifugation could be practical to improve cockerel sperm quality, and to compare the effects of PercollTM single layer centrifugation (SLC) and density gradient centrifugation (DGC) in order to obtain the most optimal protocol for cockerel semen.2. In the experiment with PercollTM SLC for fresh semen, an increase of motile sperm was seen after PercollTM 80% SLC and 90% SLC was conducted, at levels of 28.8% and 30.2% respectively (P < 0.01). The increase of progressively motile sperm after PercollTM 80% SLC and 90% SLC was 177.2% and 202.4% respectively (P < 0.01). Meanwhile, for semen stored at 4°C for 24 h, the increase of motile sperm after PercollTM 70% SLC and 80% SLC was 41.2% and 44.0% (P < 0.01), and the increase of progressive sperm after PercollTM 70% SLC and 80% SLC was 71.3% and 83.1% respectively (P < 0.01). Both the percentage of motile sperm and progressive sperm of the fresh and stored cockerel semen after appropriate PercollTM SLC was significantly enhanced.3. Sperm membrane integrity did not show any decrease after PercollTM centrifugation compared with non-centrifuged semen, which suggested that the PercollTM centrifugation treatment in this study did not cause damage to cockerel sperm membranes.4. In the experiment regarding the comparison of PercollTM SLC and DGC with fresh semen, the increase of motile sperm after PercollTM 80% SLC, 90% SLC and 40%/80% DGC was 29.5%, 36.4%, and 25.0% respectively; and the increase of progressive sperm was 44.7%, 58.5%, and 54.7%, respectively. For semen stored at 4°C for 24 h, the increase of motile sperm after PercollTM 70% SLC, 80% SLC and 35%/70% DGC were 41.2%, 44.0%, and 26.4%; and the increase of progressive sperm was 71.3%, 83.1%, and 43.7%, respectively. There were no significant differences between the increase of sperm motility after PercollTM 80%, 90% SLC or PercollTM 40%/80% DGC in fresh cockerel semen. There was no significant difference between PercollTM 70%, 80% SLC and PercollTM 35%/70% in stored cockerel semen. There was a tendency for sperm recovery rates with PercollTM SLC to be higher than PercollTM DGC, although this did not reach statistical significance in this study.5. It was concluded that PercollTM SLC was more suitable for cockerel sperm separation than PercollTM DGC. The results suggested that PercollTM 80% SLC was the most optimal procedure to separate fresh cockerel sperm and PercollTM 70% SLC was the most optimal procedure to separate stored cockerel sperm. PercollTM SLC is more simple, user-friendly and economical and less time-consuming than DGC for cockerel semen processing.
Collapse
Affiliation(s)
- H L Lin
- Physiology Division, Livestock Research Institute, Council of Agriculture, Tainan, Taiwan
| | - Y H Chen
- Physiology Division, Livestock Research Institute, Council of Agriculture, Tainan, Taiwan
| | - D Y Lin
- Breeding and Genetic Division, Livestock Research Institute, Council of Agriculture, Tainan, Taiwan
| | - Y Y Lai
- Breeding and Genetic Division, Livestock Research Institute, Council of Agriculture, Tainan, Taiwan
| | - M C Wu
- Breeding and Genetic Division, Livestock Research Institute, Council of Agriculture, Tainan, Taiwan
| | - L R Chen
- Physiology Division, Livestock Research Institute, Council of Agriculture, Tainan, Taiwan.,Institute of Biotechnology, National Cheng Kung University, Tainan, Taiwan
| |
Collapse
|
46
|
Zhu Y, Weiss T, Zhang Q, Sun R, Wang B, Yi X, Wu Z, Gao H, Cai X, Ruan G, Zhu T, Xu C, Lou S, Yu X, Gillet L, Blattmann P, Saba K, Fankhauser CD, Schmid MB, Rutishauser D, Ljubicic J, Christiansen A, Fritz C, Rupp NJ, Poyet C, Rushing E, Weller M, Roth P, Haralambieva E, Hofer S, Chen C, Jochum W, Gao X, Teng X, Chen L, Zhong Q, Wild PJ, Aebersold R, Guo T. High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification. Mol Oncol 2019; 13:2305-2328. [PMID: 31495056 PMCID: PMC6822243 DOI: 10.1002/1878-0261.12570] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 08/09/2019] [Accepted: 09/03/2019] [Indexed: 11/06/2022] Open
Abstract
Formalin‐fixed, paraffin‐embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here, we developed a pressure cycling technology (PCT)‐SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PCa) and diffuse large B‐cell lymphoma (DLBCL) samples. We show that the proteome patterns of FFPE PCa tissue samples and their analogous fresh‐frozen (FF) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PCa tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between 1 and 15 years in a biobank and show a high degree of the proteome pattern similarity between two types of histological regions in small FFPE samples, that is, punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of a certain degree of biological variations. Applying the method to two independent DLBCL cohorts, we identified myeloperoxidase, a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PCa and DLBCL have been discovered.
Collapse
Affiliation(s)
- Yi Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.,Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Qiushi Zhang
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Rui Sun
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Bo Wang
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiao Yi
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Zhicheng Wu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Huanhuan Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xue Cai
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Guan Ruan
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Tiansheng Zhu
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Chao Xu
- College of Mathematics and Informatics, Digital Fujian Institute of Big Data Security Technology, Fujian Normal University, Fuzhou, China
| | - Sai Lou
- Phase I Clinical Research Center, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Xiaoyan Yu
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Ludovic Gillet
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Peter Blattmann
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| | - Karim Saba
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | | | - Michael B Schmid
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | - Dorothea Rutishauser
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Jelena Ljubicic
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Ailsa Christiansen
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Christine Fritz
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Niels J Rupp
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Cedric Poyet
- Department of Urology, University Hospital Zurich, University of Zurich, Switzerland
| | - Elisabeth Rushing
- Department of Neuropathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Patrick Roth
- Department of Neurology and Brain Tumor Center, University Hospital Zurich, University of Zurich, Switzerland
| | - Eugenia Haralambieva
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland
| | - Silvia Hofer
- Division of Medical Oncology, Lucerne Cantonal Hospital and Cancer Center, Switzerland
| | | | - Wolfram Jochum
- Institute of Pathology, Cantonal Hospital St. Gallen, Switzerland
| | - Xiaofei Gao
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China
| | - Xiaodong Teng
- Department of Pathology, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Qing Zhong
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland.,Children's Medical Research Institute, University of Sydney, Australia
| | - Peter J Wild
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Switzerland.,Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland.,Faculty of Science, University of Zurich, Switzerland
| | - Tiannan Guo
- Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.,Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, China.,Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Switzerland
| |
Collapse
|
47
|
Wang L, Ding L, Liu Z, Sun L, Chen L, Jia R, Dai X, Cao J, Ye J. Automated identification of malignancy in whole-slide pathological images: identification of eyelid malignant melanoma in gigapixel pathological slides using deep learning. Br J Ophthalmol 2019; 104:318-323. [PMID: 31302629 DOI: 10.1136/bjophthalmol-2018-313706] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 05/01/2019] [Accepted: 05/18/2019] [Indexed: 01/23/2023]
Abstract
BACKGROUND/AIMS To develop a deep learning system (DLS) that can automatically detect malignant melanoma (MM) in the eyelid from histopathological sections with colossal information density. METHODS Setting: Double institutional study. STUDY POPULATION We retrospectively reviewed 225 230 pathological patches (small section cut from pathologist-labelled area from an H&E image), cut from 155 H&E-stained whole-slide images (WSI). OBSERVATION PROCEDURES Labelled gigapixel pathological WSIs were used to train and test a model designed to assign patch-level classification. Using malignant probability from a convolutional neural network, the patches were embedded back into each WSI to generate a visualisation heatmap and leveraged a random forest model to establish a WSI-level diagnosis. MAIN OUTCOME MEASURE(S) For classification, the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity and specificity were used to evaluate the efficacy of the DLS in detecting MM. RESULTS For patch diagnosis, the model achieved an AUC of 0.989 (95% CI 0.989 to 0.991), with an accuracy, sensitivity and specificity of 94.9%, 94.7% and 95.3%, respectively. We displayed the lesion area on the WSIs as graded by malignant potential. For WSI, the obtained sensitivity, specificity and accuracy were 100%, 96.5% and 98.2%, respectively, with an AUC of 0.998 (95% CI 0.994 to 1.000). CONCLUSION Our DLS, which uses artificial intelligence, can automatically detect MM in histopathological slides and highlight the lesion area on WSIs using a probabilistic heatmap. In addition, our approach has the potential to be applied to the histopathological sections of other tumour types.
Collapse
Affiliation(s)
- Linyan Wang
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Longqian Ding
- Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
| | - Zhifang Liu
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lingling Sun
- Key Laboratory of RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou, China
| | - Lirong Chen
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Renbing Jia
- Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xizhe Dai
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jing Cao
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Juan Ye
- Department of Ophthalmology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| |
Collapse
|
48
|
Gong K, Chen L, Xia H, Dai H, Li X, Sun L, Kong W, Liu K. Driving forces of disaggregation and reaggregation of peanut protein isolates in aqueous dispersion induced by high-pressure microfluidization. Int J Biol Macromol 2019; 130:915-921. [DOI: 10.1016/j.ijbiomac.2019.02.123] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 02/21/2019] [Accepted: 02/21/2019] [Indexed: 11/28/2022]
|
49
|
Abstract
Introduction: Individuals with test anxiety [i.e., high test anxiety (HTA)] always treat tests/examinations as a potential threat. This cognitive mode impairs these individuals' ability of inhibitory control and leads to a high level of anxiety. However, characterizing aspects of HTA's impaired inhibitory control ability are unclear and need to be studied. Methods: Forty-six participants were recruited and divided into a HTA (N = 26) and low test anxiety (LTA; i.e., healthy control; N = 20) group. Self-reports (Test Anxiety Scale, State-Trait Anxiety Inventory for negative emotions) were obtained. An emotional Stroop (ES) task and a numerical Stroop (NS) task, causing different types of interferences, were used for assessing the emotional and cognitive aspects of attentional control ability (behavioral data). Event-related brain potentials (ERPs) were registered to further assess processing stages related to different aspects of attentional control ability. Results: Compared with the LTA group, the HTA group has inhibitory control deficits of both emotional (see ERP components P1-P2-N2 and P3) and cognitive (see ERP component P3) interference. Compared with the LTA group, the HTA doesn't have lower accuracy in neither ES nor NS but displays longer reaction times only in ES. Additionally, the HTA group's ES results also show that (1) the degree of emotional interference indicates the level of an individual's anxiety, and (2) the ERP component P2 may serve as an index of the level of test anxiety. Conclusion: HTA individuals have extensive inhibitory deficits for both emotional and cognitive aspects; however, impairment impacts more on emotional aspects than on cognitive aspects. Additionally, as compared to NS, the negative impact of more impaired processing stages on task performance is more substantial in ES.
Collapse
Affiliation(s)
- Wenpei Zhang
- Department of Psychology, Nanjing University, Nanjing, China.,Department of Business Administration, School of Business, Anhui University of Technology, Maanshan, China
| | - Alain De Beuckelaer
- Institute for Management Research, Radboud University, Nijmegen, Netherlands.,Department of Personnel Management, Work and Organizational Psychology, Ghent University, Ghent, Belgium
| | - Lirong Chen
- Department of Psychology, Nanjing University, Nanjing, China
| | - Renlai Zhou
- Department of Psychology, Nanjing University, Nanjing, China.,Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
50
|
Ansell J, Zappe S, Jiang X, Chen L, Steiner S, Laulicht B, Bakhru S. A Novel Whole Blood Point-of-Care Coagulometer to Measure the Effect of Direct Oral Anticoagulants and Heparins. Semin Thromb Hemost 2018; 45:259-263. [DOI: 10.1055/s-0038-1676317] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
AbstractThe direct oral anticoagulants (DOACs) currently require no monitoring for routine therapy of atrial fibrillation or venous thromboembolism. Measurement of activity, however, may be important in patients with major and life-threatening bleeding, patients needing emergent surgery, in reversal situations, or in patients at high risk of bleeding or thrombosis due to underlying conditions. For these patients, a widely available and rapid turnaround assay would be optimal. To date, there is no such assay available, especially for the direct factor Xa inhibitors. This report describes the performance of a new, rapid turnaround, point-of-care (PoC) assay for measuring the activity of a range of anticoagulants, including DOACs and heparins, in emergency situations and for routine measurement in high-risk patients. Perosphere Technologies' PoC coagulometer is a handheld instrument that performs individual coagulation tests on samples of fresh whole blood (∼10 µL) with clotting activated by glass contact and endpoint determination performed by infrared spectroscopy. In preclinical studies using rats anticoagulated with therapeutic doses of edoxaban or enoxaparin, the PoC coagulometer showed a strong linear correlation between pharmacokinetic parameters and clotting time with edoxaban (r
2 = 0.994) and with enoxaparin (r
2 = 0.967). These preclinical results suggest that this PoC coagulometer would be ideal to assess the pharmacodynamic effects of anticoagulants and their reversal agents. The PoC bedside instrument delivers results within minutes and requires no more than a drop of whole blood. Studies are underway to confirm these results in humans and to further characterize the performance of the instrument.
Collapse
Affiliation(s)
- Jack Ansell
- Hofstra Northwell School of Medicine, Hempstead, New York
| | - Stefan Zappe
- Perosphere Technologies, Inc., Danbury, Connecticut
| | - Xuan Jiang
- Department of Medicine, Perosphere Pharmaceuticals, Inc., Danbury, Connecticut
| | - Lirong Chen
- Department of Medicine, Perosphere Pharmaceuticals, Inc., Danbury, Connecticut
| | - Solomon Steiner
- Department of Medicine, Perosphere Pharmaceuticals, Inc., Danbury, Connecticut
| | - Bryan Laulicht
- Department of Medicine, Perosphere Pharmaceuticals, Inc., Danbury, Connecticut
| | - Sasha Bakhru
- Perosphere Technologies, Inc., Danbury, Connecticut
| |
Collapse
|