1
|
Yuan M, Wang F, Sun T, Bian X, Zhang Y, Guo C, Yu L, Yao Z. Vitamin B 6 alleviates chronic sleep deprivation-induced hippocampal ferroptosis through CBS/GSH/GPX4 pathway. Biomed Pharmacother 2024; 174:116547. [PMID: 38599059 DOI: 10.1016/j.biopha.2024.116547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/19/2024] [Accepted: 04/04/2024] [Indexed: 04/12/2024] Open
Abstract
Several studies have found that sleep deprivation (SD) can lead to neuronal ferroptosis and affect hippocampal function. However, there are currently no effective interventions. Vitamin B6 is a co-factor for key enzymes in the transsulfuration pathway which is critical for maintaining cell growth in the presence of cysteine deprivation. The results showed that SD inhibited cystine-glutamate antiporter light chain subunit xCT protein expression and caused cysteine deficiency, which reduced the synthesis of the glutathione (GSH) to trigger neuronal ferroptosis. Nissl staining further revealed significant neuronal loss and shrinkage in the CA1 and CA3 regions of the hippocampus in SD mice. Typical ferroptotic indicators characterized by lipid peroxidation and iron accumulation were showed in the hippocampus after sleep deprivation. As expected, vitamin B6 could alleviate hippocampal ferroptosis by upregulating the expression of cystathionine beta-synthase (CBS) in the transsulfuration pathway, thereby replenishing the intracellular deficient GSH and restoring the expression of GPX4. Similar anti-ferroptotic effects of vitamin B6 were demonstrated in HT-22 cells treated with ferroptosis activator erastin. Furthermore, vitamin B6 had no inhibitory effect on erastin-induced ferroptosis in CBS-knockout HT22 cells. Our findings suggested chronic sleep deprivation caused hippocampal ferroptosis by disrupting the cyst(e)ine/GSH/GPX4 axis. Vitamin B6 alleviated sleep deprivation-induced ferroptosis by enhancing CBS expression in the transsulfuration pathway.
Collapse
Affiliation(s)
- Man Yuan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Feng Wang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Tieqiang Sun
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Xiangyu Bian
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Yuxian Zhang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Changjiang Guo
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| | - Lixia Yu
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China.
| |
Collapse
|
2
|
Sun T, Wang W, Wang F, Shen W, Geng L, Zhang Y, Bi M, Gong T, Liu C, Guo C, Yao Z, Wang T, Bai J. Corrigendum to "A novel universal small-molecule detection platform based on antibody-controlled Cas12a switching" [Biosens. Bioelectron. 246 (2024) 115897]. Biosens Bioelectron 2024; 250:116011. [PMID: 38278745 DOI: 10.1016/j.bios.2024.116011] [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: 01/28/2024]
Affiliation(s)
- Tieqiang Sun
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Wen Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China; School of Public Health and Management, Binzhou Medical College, Shandong, 264003, PR China
| | - Feng Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Weili Shen
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Lu Geng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Yiyang Zhang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Meng Bi
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Tingting Gong
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Cong Liu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Changjiang Guo
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China; School of Public Health and Management, Binzhou Medical College, Shandong, 264003, PR China
| | - Zhanxin Yao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China.
| | - Tianhui Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China.
| | - Jialei Bai
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China.
| |
Collapse
|
3
|
Nygård K, McDonald SA, González JB, Haghighat V, Appel C, Larsson E, Ghanbari R, Viljanen M, Silva J, Malki S, Li Y, Silva V, Weninger C, Engelmann F, Jeppsson T, Felcsuti G, Rosén T, Gordeyeva K, Söderberg L, Dierks H, Zhang Y, Yao Z, Yang R, Asimakopoulou EM, Rogalinski J, Wallentin J, Villanueva-Perez P, Krüger R, Dreier T, Bech M, Liebi M, Bek M, Kádár R, Terry AE, Tarawneh H, Ilinski P, Malmqvist J, Cerenius Y. ForMAX - a beamline for multiscale and multimodal structural characterization of hierarchical materials. J Synchrotron Radiat 2024; 31:363-377. [PMID: 38386565 PMCID: PMC10914163 DOI: 10.1107/s1600577524001048] [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] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/30/2024] [Indexed: 02/24/2024]
Abstract
The ForMAX beamline at the MAX IV Laboratory provides multiscale and multimodal structural characterization of hierarchical materials in the nanometre to millimetre range by combining small- and wide-angle X-ray scattering with full-field microtomography. The modular design of the beamline is optimized for easy switching between different experimental modalities. The beamline has a special focus on the development of novel fibrous materials from forest resources, but it is also well suited for studies within, for example, food science and biomedical research.
Collapse
Affiliation(s)
- K. Nygård
- MAX IV Laboratory, Lund University, Lund, Sweden
| | | | | | - V. Haghighat
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - C. Appel
- MAX IV Laboratory, Lund University, Lund, Sweden
- Paul Scherrer Institut, Villigen PSI, Switzerland
| | - E. Larsson
- MAX IV Laboratory, Lund University, Lund, Sweden
- Division of Solid Mechanics, Lund University, Lund, Sweden
| | - R. Ghanbari
- MAX IV Laboratory, Lund University, Lund, Sweden
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
| | - M. Viljanen
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - J. Silva
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - S. Malki
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - Y. Li
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - V. Silva
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - C. Weninger
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - F. Engelmann
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - T. Jeppsson
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - G. Felcsuti
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - T. Rosén
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
- Wallenberg Wood Science Center (WWSC), Royal Institute of Technology, Stockholm, Sweden
| | - K. Gordeyeva
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
| | - L. D. Söderberg
- Department of Fibre and Polymer Technology, Royal Institute of Technology, Stockholm, Sweden
- Wallenberg Wood Science Center (WWSC), Royal Institute of Technology, Stockholm, Sweden
| | - H. Dierks
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - Y. Zhang
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - Z. Yao
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | - R. Yang
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | | | | | - J. Wallentin
- Synchrotron Radiation Research, Lund University, Lund, Sweden
| | | | - R. Krüger
- Medical Radiation Physics, Lund University, Lund, Sweden
| | - T. Dreier
- Medical Radiation Physics, Lund University, Lund, Sweden
- Excillum AB, Kista, Sweden
| | - M. Bech
- Medical Radiation Physics, Lund University, Lund, Sweden
| | - M. Liebi
- Paul Scherrer Institut, Villigen PSI, Switzerland
- Institute of Materials, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Department of Physics, Chalmers University of Technology, Gothenburg, Sweden
| | - M. Bek
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
- FibRe-Centre for Lignocellulose-based Thermoplastics, Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - R. Kádár
- MAX IV Laboratory, Lund University, Lund, Sweden
- Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg, Sweden
- FibRe-Centre for Lignocellulose-based Thermoplastics, Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Wallenberg Wood Science Center (WWSC), Chalmers University of Technology, Gothenburg, Sweden
| | - A. E. Terry
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - H. Tarawneh
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - P. Ilinski
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - J. Malmqvist
- MAX IV Laboratory, Lund University, Lund, Sweden
| | - Y. Cerenius
- MAX IV Laboratory, Lund University, Lund, Sweden
| |
Collapse
|
4
|
Sun T, Wang W, Wang F, Shen W, Geng L, Zhang Y, Bi M, Gong T, Liu C, Guo C, Yao Z, Wang T, Bai J. A novel universal small-molecule detection platform based on antibody-controlled Cas12a switching. Biosens Bioelectron 2024; 246:115897. [PMID: 38064994 DOI: 10.1016/j.bios.2023.115897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023]
Abstract
Molecular diagnostics play an important role in illness detection, prevention, and treatment, and are vital in point-of-care test. In this investigation, a novel CRISPR/Cas12a based small-molecule detection platform was developed using Antibody-Controlled Cas12a Biosensor (ACCBOR), in which antibody would control the trans-cleavage activity of CRISPR/Cas12a. In this system, small-molecule was labeled around the PAM sites of no target sequence(NTS), and antibody would bind on the labeled molecule to prevent the combination of CRISPR/Cas12a, resulting the decrease of trans-cleavage activity. Biotin-, digoxin-, 25-hydroxyvitamin D3 (25-OH-VD3)-labeled NTS and corresponding binding protein were separately used to verify its preformance, showing great universality. Finally, one-pot detection of 25-OH-VD3 was developed, exhibiting high sensitivity and excellent specificity. The limit of detection could be 259.86 pg/mL in serum within 30 min. This assay platform also has the advantages of low cost, easy operation (one-pot method), and fast detection (∼30 min), would be a new possibilities for the highly sensitive detection of other small-molecule targets.
Collapse
Affiliation(s)
- Tieqiang Sun
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Wen Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China; School of Public Health and Management, Binzhou Medical College, Shandong, 264003, PR China
| | - Feng Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Weili Shen
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Lu Geng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Yiyang Zhang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Meng Bi
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Tingting Gong
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Cong Liu
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China
| | - Changjiang Guo
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China; School of Public Health and Management, Binzhou Medical College, Shandong, 264003, PR China
| | - Zhanxin Yao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China.
| | - Tianhui Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China.
| | - Jialei Bai
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China.
| |
Collapse
|
5
|
Wang Y, Bian X, Wan M, Dong W, Gao W, Yao Z, Guo C. Effects of riboflavin deficiency and high dietary fat on hepatic lipid accumulation: a synergetic action in the development of non-alcoholic fatty liver disease. Nutr Metab (Lond) 2024; 21:1. [PMID: 38169398 PMCID: PMC10763341 DOI: 10.1186/s12986-023-00775-8] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 12/19/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is characterized by excessive lipid accumulation in the liver. Riboflavin, one of water soluble vitamins, plays a role in lipid metabolism and antioxidant function. However, the effects of riboflavin deficiency on NAFLD development have not yet to be fully explored. METHODS In the present study, an animal model of NAFLD was induced by high fat diet feeding in mice and a cellular model of NAFLD was developed in HepG2 cells by palmitic acid (PA) exposure. The effects of riboflavin deficiency on lipid metabolism and antioxidant function were investigated both in vivo and in vitro. In addition, the possible role of peroxisome proliferator-activated receptor gamma (PPARγ) was studied in HepG2 cells using gene silencing technique. RESULTS The results showed that riboflavin deficiency led to hepatic lipid accumulation in mice fed high fat diet. The expressions of fatty acid synthase (FAS) and carnitine palmitoyltransferase 1 (CPT1) were up-regulated, whereas that of adipose triglyceride lipase (ATGL) down-regulated. Similar changes in response to riboflavin deficiency were demonstrated in HepG2 cells treated with PA. Factorial analysis revealed a significant interaction between riboflavin deficiency and high dietary fat or PA load in the development of NAFLD. Hepatic PPARγ expression was significantly upregulated in mice fed riboflavin deficient and high fat diet or in HepG2 cells treated with riboflavin deficiency and PA load. Knockdown of PPARγ gene resulted in a significant reduction of lipid accumulation in HepG2 cells exposed to riboflavin deficiency and PA load. CONCLUSIONS There is a synergetic action between riboflavin deficiency and high dietary fat on the development of NAFLD, in which PPARγ may play an important role.
Collapse
Affiliation(s)
- Yanxian Wang
- Institute of Environmental and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Xiangyu Bian
- Institute of Environmental and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Min Wan
- Institute of Environmental and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Weiyun Dong
- Institute of Environmental and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Weina Gao
- Institute of Environmental and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Zhanxin Yao
- Institute of Environmental and Operational Medicine, Tianjin, 300050, People's Republic of China
| | - Changjiang Guo
- Institute of Environmental and Operational Medicine, Tianjin, 300050, People's Republic of China.
| |
Collapse
|
6
|
Bian X, Jin L, Wang Y, Yuan M, Yao Z, Ning B, Gao W, Guo C. Riboflavin deficiency reduces bone mineral density in rats by compromising osteoblast function. J Nutr Biochem 2023; 122:109453. [PMID: 37788723 DOI: 10.1016/j.jnutbio.2023.109453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 09/05/2023] [Accepted: 09/27/2023] [Indexed: 10/05/2023]
Abstract
Insufficient riboflavin intake has been associated with poor bone health. This study aimed to investigate the effect of riboflavin deficiency on bone health in vivo and in vitro. Riboflavin deficiency was successfully developed in rats and osteoblasts. The results indicated that bone mineral density, serum bone alkaline phosphatase, bone phosphorus, and bone calcium were significantly decreased while serum ionized calcium and osteocalcin were significantly increased in the riboflavin-deficient rats. Riboflavin deficiency also induced the reduction of Runx2, Osterix, and BMP-2/Smad1/5/9 cascade in the femur. These results were further verified in cellular experiments. Our findings demonstrated that alkaline phosphatase activities and calcified nodules were significantly decreased while intracellular osteocalcin and pro-collagen I c-terminal propeptide were significantly increased in the riboflavin-deficient osteoblasts. Additionally, the protein expression of Osterix, Runx2, and BMP-2/Smad1/5/9 cascade were significantly decreased while the protein expression of p-p38 MAPK were significantly increased in the riboflavin-deficient cells compared to the control cells. Blockage of p38 MAPK signaling pathway with SB203580 reversed these effects in riboflavin-deficient osteoblastic cells. Our data suggest that riboflavin deficiency causes osteoblast malfunction and retards bone matrix mineralization via p38 MAPK/BMP-2/Smad1/5/9 signaling pathway.
Collapse
Affiliation(s)
- Xiangyu Bian
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China
| | - Lu Jin
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China
| | - Yanxian Wang
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China
| | - Man Yuan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China
| | - Baoan Ning
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China
| | - Weina Gao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China.
| | - Changjiang Guo
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, PR China.
| |
Collapse
|
7
|
Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Zhang X, Yu Y, Zhou L, Na F, Li Y, Xu Y, Liu Y, Zou B, Peng F, Wang J, Zhong R, Gong Y, Huang M, Bai S, Xue J, Yan D, Lu Y. Hybrid Immuno-RT for Bulky Tumors: Standard Fractionation with Partial Tumor SBRT. Int J Radiat Oncol Biol Phys 2023; 117:S166. [PMID: 37784416 DOI: 10.1016/j.ijrobp.2023.06.264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Bulky tumors remain challenging to be treated. Stereotactic body radiation therapy (SBRT) is effective against radioresistant tumor cells and can induce immunogenic cell death (ICD) that leads to T-cell-mediated antitumor effects. Low-dose radiation (LDRT) can inflame the tumor microenvironment (TME) by recruiting T cells. We designed a novel radiotherapy technique (RT, ERT) whose dose distribution map resembles the "eclipse" by concurrently delivering LDRT to the whole tumor, meanwhile SBRT to only a part of the same tumor. This study examined the safety and efficacy of ERT to bulky lesions with PD-1 inhibitors in mice and patients. MATERIALS/METHODS In mice with CT26 colon or LLC1 lung bulky tumors (400 - 500 cm3), the whole tumor was irradiated by LDRT (2 Gy x 3), meanwhile the tumor center was irradiated by SBRT (10 Gy x 3); αPD-1 was given weekly. The dependence of therapeutic effects on CD8+ T cells was determined using depleting antibodies. Frequencies of CD8+ T cells and M1 macrophages (Mφ) were determined by flow cytometry. Multiplex Immunohistochemistry (mIHC) was applied to analyze the number and the location of CD8+ T cells and their subpopulations, as well as the phospho-eIF2α level (the ICD marker) of tumor cells in TME. Patients with advanced lung or liver bulky tumors who failed standard treatment or with oncologic emergencies were treated. Kaplan-Meier method was applied to estimate patients' progression-free survival (PFS) and overall survival (OS). RESULTS ERT/αPD-1 is superior to SBRT/αPD-1 or LDRT/αPD-1 in controlling bulky tumors in both mouse models in a CD8+ T-cell dependent manner. In the CT26 model, ERT/αPD-1 resulted in complete tumor regression in 3/11 mice and induced more CD8+ T cells and M1 Mφ in TME compared to other groups. mIHC analysis showed that ERT/αPD-1 induced higher bulk, stem-like (TCF1+ TIM3- PD-1+), and more differentiated (TCF1- TIM3+ PD-1+) CD8+ T cells infiltration into the tumor center and periphery compared to other groups. Compared to untreated or LDRT-treated tumor centers, tumor centers irradiated with ERT or SBRT showed elevated phospho-eIF2α accompanied by higher dendritic cell infiltration. In total, 39 advanced cancer patients were treated with ERT/αPD-1 or plus chemotherapy. Radiation-induced pneumonitis occurred in 1 of 26 patients receiving thoracic ERT. There were two cases of grade III toxicity associated with PD-1 inhibitors. No toxicity above grade III was observed. The objective response rate was 38.5%. The median PFS was 5.6 months and median OS was not reached at a median follow-up of 11.7 months. CONCLUSION ERT/αPD-1 showed superior efficacy in controlling bulky tumor in two mouse models. The hybrid immuno-RT (ERT) combing PD-1 inhibitors was safe and effective in patients with bulky tumors. Further clinical trials in combination with bioimaging to identify the optimal SBRT target region for the bulky tumor are warranted.
Collapse
Affiliation(s)
- R Luo
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Su
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - K Kang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Wu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Z Yao
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - W Xiu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - X Zhang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Yu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - L Zhou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Na
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Li
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Xu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Liu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - B Zou
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - F Peng
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Wang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - R Zhong
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Gong
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - M Huang
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - S Bai
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - J Xue
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - D Yan
- Division of Radiation Physics, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Y Lu
- Thoracic Oncology Ward, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Radiotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| |
Collapse
|
8
|
Cao Y, Wang D, Wu J, Yao Z, Shen S, Niu C, Liu Y, Zhang P, Wang Q, Wang J, Li H, Wei X, Wang X, Dong Q. MSI-XGNN: an explainable GNN computational framework integrating transcription- and methylation-level biomarkers for microsatellite instability detection. Brief Bioinform 2023; 24:bbad362. [PMID: 37833839 DOI: 10.1093/bib/bbad362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/05/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Microsatellite instability (MSI) is a hypermutator phenotype caused by DNA mismatch repair deficiency. MSI has been reported in various human cancers, particularly colorectal, gastric and endometrial cancers. MSI is a promising biomarker for cancer prognosis and immune checkpoint blockade immunotherapy. Several computational methods have been developed for MSI detection using DNA- or RNA-based approaches based on next-generation sequencing. Epigenetic mechanisms, such as DNA methylation, regulate gene expression and play critical roles in the development and progression of cancer. We here developed MSI-XGNN, a new computational framework for predicting MSI status using bulk RNA-sequencing and DNA methylation data. MSI-XGNN is an explainable deep learning model that combines a graph neural network (GNN) model to extract features from the gene-methylation probe network with a CatBoost model to classify MSI status. MSI-XGNN, which requires tumor-only samples, exhibited comparable performance with two well-known methods that require tumor-normal paired sequencing data, MSIsensor and MANTIS and better performance than several other tools. MSI-XGNN also showed good generalizability on independent validation datasets. MSI-XGNN identified six MSI markers consisting of four methylation probes (EPM2AIP1|MLH1:cg14598950, EPM2AIP1|MLH1:cg27331401, LNP1:cg05428436 and TSC22D2:cg15048832) and two genes (RPL22L1 and MSH4) constituting the optimal feature subset. All six markers were significantly associated with beneficial tumor microenvironment characteristics for immunotherapy, such as tumor mutation burden, neoantigens and immune checkpoint molecules such as programmed cell death-1 and cytotoxic T-lymphocyte antigen-4. Overall, our study provides a powerful and explainable deep learning model for predicting MSI status and identifying MSI markers that can potentially be used for clinical MSI evaluation.
Collapse
Affiliation(s)
- Yang Cao
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Dan Wang
- Department of Bioinformatics, Yicon (Beijing) Biomedical Technology Inc
| | - Jin Wu
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Si Shen
- School and Hospital of Stomatology, Tianjin Medical University, Tianjin 300050, China
| | - Chao Niu
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Ying Liu
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Pengcheng Zhang
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | | | - Jinhao Wang
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Hua Li
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Xi Wei
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Xinxing Wang
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Qingyang Dong
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| |
Collapse
|
9
|
Huang Z, Liu S, Wang Y, Yao Z, Feng L, Lin Y, Ye J, Zhou T, Wang Z. Comparison of prevalence, resistance, biofilm-forming ability and virulence between carbapenem-non-susceptible and carbepenem-susceptible Enterobacter cloacae complex in clusters. J Hosp Infect 2023; 139:168-174. [PMID: 37348563 DOI: 10.1016/j.jhin.2023.06.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/30/2023] [Accepted: 06/07/2023] [Indexed: 06/24/2023]
Abstract
OBJECTIVES This study aimed to explore differences in prevalence, resistance, biofilm-forming ability and virulence between carbapenem-non-susceptible and carbapenem-susceptible Enterobacter cloacae complex (ECC) in different clusters. METHODS Ninety-one carbapenem-non-susceptible isolates and an equal number of carbapenem-susceptible isolates and their clinical information were collected from a university teaching hospital in China. The strains were divided into different clusters based on hsp60 analysis. The agar dilution method was used to determine the minimum inhibitory concentrations of common antibiotics. The crystal violet assay was used to measure biofilm-forming ability. The Galleria mellonella infection model and polymerase chain reaction of virulence genes were used to evaluate virulence. RESULTS The isolates were divided into 12 clusters based on hsp60 analysis. Cluster VIII accounted for a greater proportion of carbapenem-non-susceptible isolates than the other clusters. The same clusters exhibited different resistance rates in carbapenem-non-susceptible and carbapenem-susceptible isolates. Moreover, carbapenem-non-susceptible isolates carried fewer virulence genes than carbapenem-susceptible isolates, and carbapenem-non-susceptible isolates in cluster II in did not carry the detected virulence genes. Virulence of carbapenem-non-susceptible and carbapenem-susceptible isolates differed significantly in clusters I, III, VIII and IX, as evaluated using the G. mellonella infection model. Carbapenem-non-susceptible isolates in cluster VIII showed higher prevalence, resistance, biofilm-forming ability and pathogenicity compared with the other clusters. CONCLUSIONS The study findings indicate the need to identify subgroups of ECC, and provide better advice and guidance for the use of carbapenems.
Collapse
Affiliation(s)
- Z Huang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - S Liu
- Department of Clinical Laboratory, Children's Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Y Wang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - Z Yao
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - L Feng
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - Y Lin
- School of Laboratory Medicine and Life Science, Wenzhou Medical University, Wenzhou, Zhejiang Province, China
| | - J Ye
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China
| | - T Zhou
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China.
| | - Z Wang
- Department of Clinical Laboratory, First Affiliated Hospital of Wenzhou Medical University, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, Wenzhou, Zhejiang Province, China.
| |
Collapse
|
10
|
Luo R, Su Z, Kang K, Yu M, Zhou X, Wu Y, Yao Z, Xiu W, Yu Y, Zhou L, Na F, Li Y, Zhang X, Zou B, Peng F, Wang J, Xue J, Gong Y, Lu Y. 197P Combining stereotactic body radiation and low-dose radiation (EclipseRT) with PD-1 inhibitor in mice models and patients with bulky tumor. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00450-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
|
11
|
Wan M, Wu H, Wang X, Gu Y, Meng G, Zhang Q, Liu L, Zhang J, Sun S, Jia Q, Song K, Gao W, Yao Z, Niu K, Guo C. There is a significantly inverse relationship between dietary riboflavin intake and prevalence of osteoporosis in women but not in men: Results from the TCLSIH cohort study. Front Nutr 2023; 10:1112028. [PMID: 36824170 PMCID: PMC9941537 DOI: 10.3389/fnut.2023.1112028] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/23/2023] [Indexed: 02/10/2023] Open
Abstract
Background Epidemiological evidence for the relationship between riboflavin intake and bone health is inconsistent, and this relationship has not been examined in Chinese population. This study aimed to investigate the relationship between dietary intake of riboflavin and prevalence of osteoporosis in a Chinese adult population. Methods A total of 5,607 participants (mean age, 61.2 years; males, 34.4%) were included in this cross-sectional study. We calculated the riboflavin intake by using the food frequency questionnaire (FFQ) in combination with Chinese food composition database. Bone mineral density (BMD) was detected by an ultrasound bone densitometer. Multivariable logistic regression models were used to evaluate the relationship between dietary riboflavin intake and prevalence of osteoporosis. Results In this population, the dietary intake of riboflavin ranged from 0.13 to 1.99 mg/d, and the proportion of abnormal BMD was 36.6%. The prevalence of osteoporosis decreased gradually with increasing quartiles of riboflavin intake, before and after adjustment for a range of confounding factors. In the final model, the multivariate-adjusted ORs (95% CI) across the quartiles of riboflavin intake were 1.00 (reference), 0.84 (0.54, 1.31), 0.59 (0.34, 1.04), and 0.47 (0.22, 0.96), respectively (P for trend < 0.05). In sex-disaggregated analysis, similar results to the total population were observed in women, while no significant results were found in men. Conclusion The dietary riboflavin intake was negatively associated with the prevalence of osteoporosis. However, the association was significant in women but not in men. Our findings indicated that women are more sensitive to riboflavin intake in maintaining a normal BMD.
Collapse
Affiliation(s)
- Min Wan
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Juanjuan Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Weina Gao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China,*Correspondence: Zhanxin Yao,
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China,Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China,Kaijun Niu,
| | - Changjiang Guo
- Tianjin Institute of Environmental and Operational Medicine, Tianjin, China,Changjiang Guo,
| |
Collapse
|
12
|
Morvan A, Andersen TI, Mi X, Neill C, Petukhov A, Kechedzhi K, Abanin DA, Michailidis A, Acharya R, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Bovaird J, Brill L, Broughton M, Buckley BB, Buell DA, Burger T, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Curtin B, Debroy DM, Del Toro Barba A, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores Burgos L, Forati E, Fowler AG, Foxen B, Giang W, Gidney C, Gilboa D, Giustina M, Grajales Dau A, Gross JA, Habegger S, Hamilton MC, Harrigan MP, Harrington SD, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Juhas P, Kafri D, Khattar T, Khezri M, Kieferová M, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Laws L, Lee J, Lee KW, Lester BJ, Lill AT, Liu W, Locharla A, Malone F, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Nersisyan A, Newman M, Nguyen A, Nguyen M, Niu MY, O'Brien TE, Olenewa R, Opremcak A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schurkus HF, Schuster C, Shearn MJ, Shorter A, Shvarts V, Skruzny J, Smith WC, Strain D, Sterling G, Su Y, Szalay M, Torres A, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Xing C, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Kelly J, Chen Y, Smelyanskiy V, Aleiner I, Ioffe LB, Roushan P. Formation of robust bound states of interacting microwave photons. Nature 2022; 612:240-245. [PMID: 36477133 PMCID: PMC9729104 DOI: 10.1038/s41586-022-05348-y] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 09/14/2022] [Indexed: 12/12/2022]
Abstract
Systems of correlated particles appear in many fields of modern science and represent some of the most intractable computational problems in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles1. The lack of general solutions for the three-body problem and acceptable theory for strongly correlated electrons shows that our understanding of correlated systems fades when the particle number or the interaction strength increases. One of the hallmarks of interacting systems is the formation of multiparticle bound states2-9. Here we develop a high-fidelity parameterizable fSim gate and implement the periodic quantum circuit of the spin-½ XXZ model in a ring of 24 superconducting qubits. We study the propagation of these excitations and observe their bound nature for up to five photons. We devise a phase-sensitive method for constructing the few-body spectrum of the bound states and extract their pseudo-charge by introducing a synthetic flux. By introducing interactions between the ring and additional qubits, we observe an unexpected resilience of the bound states to integrability breaking. This finding goes against the idea that bound states in non-integrable systems are unstable when their energies overlap with the continuum spectrum. Our work provides experimental evidence for bound states of interacting photons and discovers their stability beyond the integrability limit.
Collapse
Affiliation(s)
- A Morvan
- Google Research, Mountain View, CA, USA
| | | | - X Mi
- Google Research, Mountain View, CA, USA
| | - C Neill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - A Michailidis
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - R Acharya
- Google Research, Mountain View, CA, USA
| | - F Arute
- Google Research, Mountain View, CA, USA
| | - K Arya
- Google Research, Mountain View, CA, USA
| | - A Asfaw
- Google Research, Mountain View, CA, USA
| | - J Atalaya
- Google Research, Mountain View, CA, USA
| | - J C Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J Basso
- Google Research, Mountain View, CA, USA
| | | | - G Bortoli
- Google Research, Mountain View, CA, USA
| | | | - J Bovaird
- Google Research, Mountain View, CA, USA
| | - L Brill
- Google Research, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Research, Mountain View, CA, USA
| | - T Burger
- Google Research, Mountain View, CA, USA
| | - B Burkett
- Google Research, Mountain View, CA, USA
| | | | - Z Chen
- Google Research, Mountain View, CA, USA
| | - B Chiaro
- Google Research, Mountain View, CA, USA
| | - R Collins
- Google Research, Mountain View, CA, USA
| | - P Conner
- Google Research, Mountain View, CA, USA
| | | | - A L Crook
- Google Research, Mountain View, CA, USA
| | - B Curtin
- Google Research, Mountain View, CA, USA
| | | | | | - S Demura
- Google Research, Mountain View, CA, USA
| | | | - D Eppens
- Google Research, Mountain View, CA, USA
| | | | - L Faoro
- Google Research, Mountain View, CA, USA
| | - E Farhi
- Google Research, Mountain View, CA, USA
| | - R Fatemi
- Google Research, Mountain View, CA, USA
| | | | - E Forati
- Google Research, Mountain View, CA, USA
| | | | - B Foxen
- Google Research, Mountain View, CA, USA
| | - W Giang
- Google Research, Mountain View, CA, USA
| | - C Gidney
- Google Research, Mountain View, CA, USA
| | - D Gilboa
- Google Research, Mountain View, CA, USA
| | | | | | - J A Gross
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - S Hong
- Google Research, Mountain View, CA, USA
| | - T Huang
- Google Research, Mountain View, CA, USA
| | - A Huff
- Google Research, Mountain View, CA, USA
| | | | | | - J Iveland
- Google Research, Mountain View, CA, USA
| | - E Jeffrey
- Google Research, Mountain View, CA, USA
| | - Z Jiang
- Google Research, Mountain View, CA, USA
| | - C Jones
- Google Research, Mountain View, CA, USA
| | - P Juhas
- Google Research, Mountain View, CA, USA
| | - D Kafri
- Google Research, Mountain View, CA, USA
| | - T Khattar
- Google Research, Mountain View, CA, USA
| | - M Khezri
- Google Research, Mountain View, CA, USA
| | - M Kieferová
- Google Research, Mountain View, CA, USA
- Centre for Quantum Computation and Communication Technology, Centre for Quantum Software and Information, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia
| | - S Kim
- Google Research, Mountain View, CA, USA
| | - A Y Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | - A R Klots
- Google Research, Mountain View, CA, USA
| | - A N Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P Laptev
- Google Research, Mountain View, CA, USA
| | - K-M Lau
- Google Research, Mountain View, CA, USA
| | - L Laws
- Google Research, Mountain View, CA, USA
| | - J Lee
- Google Research, Mountain View, CA, USA
| | - K W Lee
- Google Research, Mountain View, CA, USA
| | | | - A T Lill
- Google Research, Mountain View, CA, USA
| | - W Liu
- Google Research, Mountain View, CA, USA
| | | | - F Malone
- Google Research, Mountain View, CA, USA
| | - O Martin
- Google Research, Mountain View, CA, USA
| | | | - M McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | - K C Miao
- Google Research, Mountain View, CA, USA
| | - M Mohseni
- Google Research, Mountain View, CA, USA
| | | | - E Mount
- Google Research, Mountain View, CA, USA
| | | | - O Naaman
- Google Research, Mountain View, CA, USA
| | - M Neeley
- Google Research, Mountain View, CA, USA
| | | | - M Newman
- Google Research, Mountain View, CA, USA
| | - A Nguyen
- Google Research, Mountain View, CA, USA
| | - M Nguyen
- Google Research, Mountain View, CA, USA
| | - M Y Niu
- Google Research, Mountain View, CA, USA
| | | | - R Olenewa
- Google Research, Mountain View, CA, USA
| | | | - R Potter
- Google Research, Mountain View, CA, USA
| | | | - N C Rubin
- Google Research, Mountain View, CA, USA
| | - N Saei
- Google Research, Mountain View, CA, USA
| | - D Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - A Shorter
- Google Research, Mountain View, CA, USA
| | - V Shvarts
- Google Research, Mountain View, CA, USA
| | - J Skruzny
- Google Research, Mountain View, CA, USA
| | - W C Smith
- Google Research, Mountain View, CA, USA
| | - D Strain
- Google Research, Mountain View, CA, USA
| | | | - Y Su
- Google Research, Mountain View, CA, USA
| | - M Szalay
- Google Research, Mountain View, CA, USA
| | - A Torres
- Google Research, Mountain View, CA, USA
| | - G Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T White
- Google Research, Mountain View, CA, USA
| | - C Xing
- Google Research, Mountain View, CA, USA
| | - Z Yao
- Google Research, Mountain View, CA, USA
| | - P Yeh
- Google Research, Mountain View, CA, USA
| | - J Yoo
- Google Research, Mountain View, CA, USA
| | - A Zalcman
- Google Research, Mountain View, CA, USA
| | - Y Zhang
- Google Research, Mountain View, CA, USA
| | - N Zhu
- Google Research, Mountain View, CA, USA
| | - H Neven
- Google Research, Mountain View, CA, USA
| | - D Bacon
- Google Research, Mountain View, CA, USA
| | - J Hilton
- Google Research, Mountain View, CA, USA
| | - E Lucero
- Google Research, Mountain View, CA, USA
| | - R Babbush
- Google Research, Mountain View, CA, USA
| | - S Boixo
- Google Research, Mountain View, CA, USA
| | - A Megrant
- Google Research, Mountain View, CA, USA
| | - J Kelly
- Google Research, Mountain View, CA, USA
| | - Y Chen
- Google Research, Mountain View, CA, USA
| | | | - I Aleiner
- Google Research, Mountain View, CA, USA.
| | - L B Ioffe
- Google Research, Mountain View, CA, USA.
| | - P Roushan
- Google Research, Mountain View, CA, USA.
| |
Collapse
|
13
|
Mi X, Sonner M, Niu MY, Lee KW, Foxen B, Acharya R, Aleiner I, Andersen TI, Arute F, Arya K, Asfaw A, Atalaya J, Bardin JC, Basso J, Bengtsson A, Bortoli G, Bourassa A, Brill L, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chen Z, Chiaro B, Collins R, Conner P, Courtney W, Crook AL, Debroy DM, Demura S, Dunsworth A, Eppens D, Erickson C, Faoro L, Farhi E, Fatemi R, Flores L, Forati E, Fowler AG, Giang W, Gidney C, Gilboa D, Giustina M, Dau AG, Gross JA, Habegger S, Harrigan MP, Hoffmann M, Hong S, Huang T, Huff A, Huggins WJ, Ioffe LB, Isakov SV, Iveland J, Jeffrey E, Jiang Z, Jones C, Kafri D, Kechedzhi K, Khattar T, Kim S, Kitaev AY, Klimov PV, Klots AR, Korotkov AN, Kostritsa F, Kreikebaum JM, Landhuis D, Laptev P, Lau KM, Lee J, Laws L, Liu W, Locharla A, Martin O, McClean JR, McEwen M, Meurer Costa B, Miao KC, Mohseni M, Montazeri S, Morvan A, Mount E, Mruczkiewicz W, Naaman O, Neeley M, Neill C, Newman M, O’Brien TE, Opremcak A, Petukhov A, Potter R, Quintana C, Rubin NC, Saei N, Sank D, Sankaragomathi K, Satzinger KJ, Schuster C, Shearn MJ, Shvarts V, Strain D, Su Y, Szalay M, Vidal G, Villalonga B, Vollgraff-Heidweiller C, White T, Yao Z, Yeh P, Yoo J, Zalcman A, Zhang Y, Zhu N, Neven H, Bacon D, Hilton J, Lucero E, Babbush R, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Abanin DA, Roushan P. Noise-resilient edge modes on a chain of superconducting qubits. Science 2022; 378:785-790. [DOI: 10.1126/science.abq5769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging such protection requires testing its robustness against uncontrolled environmental interactions. Using 47 superconducting qubits, we implement the one-dimensional kicked Ising model, which exhibits nonlocal Majorana edge modes (MEMs) with
ℤ
2
parity symmetry. We find that any multiqubit Pauli operator overlapping with the MEMs exhibits a uniform late-time decay rate comparable to single-qubit relaxation rates, irrespective of its size or composition. This characteristic allows us to accurately reconstruct the exponentially localized spatial profiles of the MEMs. Furthermore, the MEMs are found to be resilient against certain symmetry-breaking noise owing to a prethermalization mechanism. Our work elucidates the complex interplay between noise and symmetry-protected edge modes in a solid-state environment.
Collapse
Affiliation(s)
- X. Mi
- Google Research, Mountain View, CA, USA
| | - M. Sonner
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | - M. Y. Niu
- Google Research, Mountain View, CA, USA
| | - K. W. Lee
- Google Research, Mountain View, CA, USA
| | - B. Foxen
- Google Research, Mountain View, CA, USA
| | | | | | | | - F. Arute
- Google Research, Mountain View, CA, USA
| | - K. Arya
- Google Research, Mountain View, CA, USA
| | - A. Asfaw
- Google Research, Mountain View, CA, USA
| | | | - J. C. Bardin
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - J. Basso
- Google Research, Mountain View, CA, USA
| | | | | | | | - L. Brill
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Chen
- Google Research, Mountain View, CA, USA
| | - B. Chiaro
- Google Research, Mountain View, CA, USA
| | | | - P. Conner
- Google Research, Mountain View, CA, USA
| | | | | | | | - S. Demura
- Google Research, Mountain View, CA, USA
| | | | - D. Eppens
- Google Research, Mountain View, CA, USA
| | | | - L. Faoro
- Google Research, Mountain View, CA, USA
| | - E. Farhi
- Google Research, Mountain View, CA, USA
| | - R. Fatemi
- Google Research, Mountain View, CA, USA
| | - L. Flores
- Google Research, Mountain View, CA, USA
| | - E. Forati
- Google Research, Mountain View, CA, USA
| | | | - W. Giang
- Google Research, Mountain View, CA, USA
| | - C. Gidney
- Google Research, Mountain View, CA, USA
| | - D. Gilboa
- Google Research, Mountain View, CA, USA
| | | | - A. G. Dau
- Google Research, Mountain View, CA, USA
| | | | | | | | | | - S. Hong
- Google Research, Mountain View, CA, USA
| | - T. Huang
- Google Research, Mountain View, CA, USA
| | - A. Huff
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - Z. Jiang
- Google Research, Mountain View, CA, USA
| | - C. Jones
- Google Research, Mountain View, CA, USA
| | - D. Kafri
- Google Research, Mountain View, CA, USA
| | | | | | - S. Kim
- Google Research, Mountain View, CA, USA
| | - A. Y. Kitaev
- Google Research, Mountain View, CA, USA
- Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA
| | | | | | - A. N. Korotkov
- Google Research, Mountain View, CA, USA
- Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | | | | | - P. Laptev
- Google Research, Mountain View, CA, USA
| | - K.-M. Lau
- Google Research, Mountain View, CA, USA
| | - J. Lee
- Google Research, Mountain View, CA, USA
| | - L. Laws
- Google Research, Mountain View, CA, USA
| | - W. Liu
- Google Research, Mountain View, CA, USA
| | | | - O. Martin
- Google Research, Mountain View, CA, USA
| | | | - M. McEwen
- Google Research, Mountain View, CA, USA
- Department of Physics, University of California, Santa Barbara, CA, USA
| | | | | | | | | | - A. Morvan
- Google Research, Mountain View, CA, USA
| | - E. Mount
- Google Research, Mountain View, CA, USA
| | | | - O. Naaman
- Google Research, Mountain View, CA, USA
| | - M. Neeley
- Google Research, Mountain View, CA, USA
| | - C. Neill
- Google Research, Mountain View, CA, USA
| | - M. Newman
- Google Research, Mountain View, CA, USA
| | | | | | | | - R. Potter
- Google Research, Mountain View, CA, USA
| | | | | | - N. Saei
- Google Research, Mountain View, CA, USA
| | - D. Sank
- Google Research, Mountain View, CA, USA
| | | | | | | | | | | | - D. Strain
- Google Research, Mountain View, CA, USA
| | - Y. Su
- Google Research, Mountain View, CA, USA
| | - M. Szalay
- Google Research, Mountain View, CA, USA
| | - G. Vidal
- Google Research, Mountain View, CA, USA
| | | | | | - T. White
- Google Research, Mountain View, CA, USA
| | - Z. Yao
- Google Research, Mountain View, CA, USA
| | - P. Yeh
- Google Research, Mountain View, CA, USA
| | - J. Yoo
- Google Research, Mountain View, CA, USA
| | | | - Y. Zhang
- Google Research, Mountain View, CA, USA
| | - N. Zhu
- Google Research, Mountain View, CA, USA
| | - H. Neven
- Google Research, Mountain View, CA, USA
| | - D. Bacon
- Google Research, Mountain View, CA, USA
| | - J. Hilton
- Google Research, Mountain View, CA, USA
| | - E. Lucero
- Google Research, Mountain View, CA, USA
| | | | - S. Boixo
- Google Research, Mountain View, CA, USA
| | | | - Y. Chen
- Google Research, Mountain View, CA, USA
| | - J. Kelly
- Google Research, Mountain View, CA, USA
| | | | - D. A. Abanin
- Google Research, Mountain View, CA, USA
- Department of Theoretical Physics, University of Geneva, Geneva, Switzerland
| | | |
Collapse
|
14
|
Chen F, Wang Y, Wang X, Yao Z, Li M. Complex genetic models in dystrophic epidermolysis bullosa families with marked intra-familial phenotypic heterogeneity. J Eur Acad Dermatol Venereol 2022; 36:e550-e553. [PMID: 35181940 DOI: 10.1111/jdv.18020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 01/19/2022] [Accepted: 02/08/2022] [Indexed: 11/30/2022]
Affiliation(s)
- F Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Wang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - X Wang
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| |
Collapse
|
15
|
Satzinger KJ, Liu YJ, Smith A, Knapp C, Newman M, Jones C, Chen Z, Quintana C, Mi X, Dunsworth A, Gidney C, Aleiner I, Arute F, Arya K, Atalaya J, Babbush R, Bardin JC, Barends R, Basso J, Bengtsson A, Bilmes A, Broughton M, Buckley BB, Buell DA, Burkett B, Bushnell N, Chiaro B, Collins R, Courtney W, Demura S, Derk AR, Eppens D, Erickson C, Faoro L, Farhi E, Fowler AG, Foxen B, Giustina M, Greene A, Gross JA, Harrigan MP, Harrington SD, Hilton J, Hong S, Huang T, Huggins WJ, Ioffe LB, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Khattar T, Kim S, Klimov PV, Korotkov AN, Kostritsa F, Landhuis D, Laptev P, Locharla A, Lucero E, Martin O, McClean JR, McEwen M, Miao KC, Mohseni M, Montazeri S, Mruczkiewicz W, Mutus J, Naaman O, Neeley M, Neill C, Niu MY, O'Brien TE, Opremcak A, Pató B, Petukhov A, Rubin NC, Sank D, Shvarts V, Strain D, Szalay M, Villalonga B, White TC, Yao Z, Yeh P, Yoo J, Zalcman A, Neven H, Boixo S, Megrant A, Chen Y, Kelly J, Smelyanskiy V, Kitaev A, Knap M, Pollmann F, Roushan P. Realizing topologically ordered states on a quantum processor. Science 2021; 374:1237-1241. [PMID: 34855491 DOI: 10.1126/science.abi8378] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
[Figure: see text].
Collapse
Affiliation(s)
| | - Y-J Liu
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - A Smith
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK.,Centre for the Mathematics and Theoretical Physics of Quantum Non-Equilibrium Systems, University of Nottingham, Nottingham NG7 2RD, UK
| | - C Knapp
- Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Newman
- Google Quantum AI, Mountain View, CA, USA
| | - C Jones
- Google Quantum AI, Mountain View, CA, USA
| | - Z Chen
- Google Quantum AI, Mountain View, CA, USA
| | - C Quintana
- Google Quantum AI, Mountain View, CA, USA
| | - X Mi
- Google Quantum AI, Mountain View, CA, USA
| | | | - C Gidney
- Google Quantum AI, Mountain View, CA, USA
| | - I Aleiner
- Google Quantum AI, Mountain View, CA, USA
| | - F Arute
- Google Quantum AI, Mountain View, CA, USA
| | - K Arya
- Google Quantum AI, Mountain View, CA, USA
| | - J Atalaya
- Google Quantum AI, Mountain View, CA, USA
| | - R Babbush
- Google Quantum AI, Mountain View, CA, USA
| | - J C Bardin
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA, USA
| | - R Barends
- Google Quantum AI, Mountain View, CA, USA
| | - J Basso
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Bilmes
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - D A Buell
- Google Quantum AI, Mountain View, CA, USA
| | - B Burkett
- Google Quantum AI, Mountain View, CA, USA
| | - N Bushnell
- Google Quantum AI, Mountain View, CA, USA
| | - B Chiaro
- Google Quantum AI, Mountain View, CA, USA
| | - R Collins
- Google Quantum AI, Mountain View, CA, USA
| | - W Courtney
- Google Quantum AI, Mountain View, CA, USA
| | - S Demura
- Google Quantum AI, Mountain View, CA, USA
| | - A R Derk
- Google Quantum AI, Mountain View, CA, USA
| | - D Eppens
- Google Quantum AI, Mountain View, CA, USA
| | - C Erickson
- Google Quantum AI, Mountain View, CA, USA
| | - L Faoro
- Laboratoire de Physique Theorique et Hautes Energies, Sorbonne Université, 75005 Paris, France
| | - E Farhi
- Google Quantum AI, Mountain View, CA, USA
| | - A G Fowler
- Google Quantum AI, Mountain View, CA, USA
| | - B Foxen
- Google Quantum AI, Mountain View, CA, USA
| | - M Giustina
- Google Quantum AI, Mountain View, CA, USA
| | - A Greene
- Google Quantum AI, Mountain View, CA, USA.,Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - J A Gross
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Hilton
- Google Quantum AI, Mountain View, CA, USA
| | - S Hong
- Google Quantum AI, Mountain View, CA, USA
| | - T Huang
- Google Quantum AI, Mountain View, CA, USA
| | | | - L B Ioffe
- Google Quantum AI, Mountain View, CA, USA
| | - S V Isakov
- Google Quantum AI, Mountain View, CA, USA
| | - E Jeffrey
- Google Quantum AI, Mountain View, CA, USA
| | - Z Jiang
- Google Quantum AI, Mountain View, CA, USA
| | - D Kafri
- Google Quantum AI, Mountain View, CA, USA
| | | | - T Khattar
- Google Quantum AI, Mountain View, CA, USA
| | - S Kim
- Google Quantum AI, Mountain View, CA, USA
| | - P V Klimov
- Google Quantum AI, Mountain View, CA, USA
| | - A N Korotkov
- Google Quantum AI, Mountain View, CA, USA.,Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA
| | | | - D Landhuis
- Google Quantum AI, Mountain View, CA, USA
| | - P Laptev
- Google Quantum AI, Mountain View, CA, USA
| | - A Locharla
- Google Quantum AI, Mountain View, CA, USA
| | - E Lucero
- Google Quantum AI, Mountain View, CA, USA
| | - O Martin
- Google Quantum AI, Mountain View, CA, USA
| | | | - M McEwen
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics, University of California, Santa Barbara, CA, USA
| | - K C Miao
- Google Quantum AI, Mountain View, CA, USA
| | - M Mohseni
- Google Quantum AI, Mountain View, CA, USA
| | | | | | - J Mutus
- Google Quantum AI, Mountain View, CA, USA
| | - O Naaman
- Google Quantum AI, Mountain View, CA, USA
| | - M Neeley
- Google Quantum AI, Mountain View, CA, USA
| | - C Neill
- Google Quantum AI, Mountain View, CA, USA
| | - M Y Niu
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Opremcak
- Google Quantum AI, Mountain View, CA, USA
| | - B Pató
- Google Quantum AI, Mountain View, CA, USA
| | - A Petukhov
- Google Quantum AI, Mountain View, CA, USA
| | - N C Rubin
- Google Quantum AI, Mountain View, CA, USA
| | - D Sank
- Google Quantum AI, Mountain View, CA, USA
| | - V Shvarts
- Google Quantum AI, Mountain View, CA, USA
| | - D Strain
- Google Quantum AI, Mountain View, CA, USA
| | - M Szalay
- Google Quantum AI, Mountain View, CA, USA
| | | | - T C White
- Google Quantum AI, Mountain View, CA, USA
| | - Z Yao
- Google Quantum AI, Mountain View, CA, USA
| | - P Yeh
- Google Quantum AI, Mountain View, CA, USA
| | - J Yoo
- Google Quantum AI, Mountain View, CA, USA
| | - A Zalcman
- Google Quantum AI, Mountain View, CA, USA
| | - H Neven
- Google Quantum AI, Mountain View, CA, USA
| | - S Boixo
- Google Quantum AI, Mountain View, CA, USA
| | - A Megrant
- Google Quantum AI, Mountain View, CA, USA
| | - Y Chen
- Google Quantum AI, Mountain View, CA, USA
| | - J Kelly
- Google Quantum AI, Mountain View, CA, USA
| | | | - A Kitaev
- Google Quantum AI, Mountain View, CA, USA.,Department of Physics and Institute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA, USA.,Walter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA, USA
| | - M Knap
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany.,Institute for Advanced Study, Technical University of Munich, 85748 Garching, Germany
| | - F Pollmann
- Department of Physics, Technical University of Munich, 85748 Garching, Germany.,Munich Center for Quantum Science and Technology (MCQST), Schellingstraße 4, 80799 München, Germany
| | - P Roushan
- Google Quantum AI, Mountain View, CA, USA
| |
Collapse
|
16
|
Chen X, Li J, Yang Y, Yao Z, Tu Z, Liao S, Zhu Q, Li P. Suprafascial plane endoscopy versus open carpal tunnel release for idiopathic carpal tunnel syndrome: Use of the Accordion Severity Grading System. Hand Surg Rehabil 2021; 41:113-118. [PMID: 34774842 DOI: 10.1016/j.hansur.2021.11.002] [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] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 07/03/2021] [Accepted: 11/04/2021] [Indexed: 12/31/2022]
Abstract
This study aimed to assess the safety and effectiveness of modified endoscopic technique with a single portal from an external carpal tunnel approach for surgical operations in a suprafascial plane superficial to the transverse carpal ligament. Reversible nerve injury risk is threefold greater with a conventional endoscopic method than with open carpal tunnel release (OCTR), and this suprafascial plane endoscopic release (SPER) should circumvent the problem of hardware in the carpal tunnel encountered with the conventional endoscopic method and liable to cause iatrogenic damage to the median nerve. However, the surgical consequences of the new technique have not been studied. To fill this gap, a retrospective therapeutic study was conducted to compare negative outcomes versus open surgery. The Accordion Severity Grading System was used to grade complications from 0 to 3 according to necessity of treatment. Sequela and failure rates were also compared between the SPER and OCTR groups. Eighty-eight cases in 72 patients with idiopathic carpal tunnel syndrome (ICTS) met the inclusion criteria. SPER was performed in 28 hands in 27 patients, and OCTR in 60 hands in 49 patients. The results showed no significant difference in complication, sequela, or failure rates between groups (p > 0.05). Suprafascial plane endoscopic release, has certain advantages over the open method and was validated as a safe and effective method of treating ICTS.
Collapse
Affiliation(s)
- X Chen
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China; Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Orthopaedic Research Institute, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - J Li
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Y Yang
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Z Yao
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Z Tu
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - S Liao
- Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China
| | - Q Zhu
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China; Guangdong Provincial Key Laboratory of Orthopedics and Traumatology, Orthopaedic Research Institute, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China.
| | - P Li
- Department of Microsurgery, Orthopedic Trauma and Hand Surgery, First Affiliated Hospital, Sun Yat-sen University, 58 Zhongshan Road II, Guangzhou, China.
| |
Collapse
|
17
|
Gu Y, Gan S, Bian S, Meng G, Zhang Q, Liu L, Wu H, Yao Z, Zhang S, Wang Y, Zhang T, Wang X, Cao X, Li H, Liu Y, Li X, Wang X, Wang X, Sun S, Zhou M, Jia Q, Song K, Wu Y, Wu XH, Niu K. The association between daily yogurt consumption and serum lipid profiles in the general adult population: the TCLSIH cohort study. Int J Food Sci Nutr 2021; 73:415-423. [PMID: 34749580 DOI: 10.1080/09637486.2021.1993155] [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] [Indexed: 10/19/2022]
Abstract
The purpose of this cross-sectional study is to determine the association between yogurt consumption and lipid profiles in the general Chinese population. In this cross-sectional study, a total of 26,824 participants were included from Tianjin, China. Lipid profiles were determined by automated biochemical analyser. Yogurt consumption frequency was assessed by a validated food frequency questionnaire. Analysis of covariance was used to determine the association between daily yogurt consumption and lipid profiles. In the final multivariate model, daily yogurt consumption was negatively associated with triglyceride (TG) (p for trend <0.001) and positively associated with high density lipoprotein cholesterol (HDL-C) (p for trend = 0.02). There were no significant differences (p for trend >0.05) between daily yogurt consumption and total cholesterol (TC) or low density lipoprotein cholesterol (LDL-C). Results suggested that higher daily yogurt consumption was negatively correlated with TG and positively correlated with HDL-C in the general Chinese population.
Collapse
Affiliation(s)
- Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shinan Gan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shanshan Bian
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhanxin Yao
- Tianjin Institute of Health and Environmental Medicine, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xingqi Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yunyun Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoyue Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaohe Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuntang Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiao-Hui Wu
- College of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Kaijun Niu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|
18
|
Yao Z, Liang G, Lv ZL, Lan LC, Zhu FL, Tang Q, Huang L, Chen XQ, Yang MX, Shan QW. Taurine Reduces Liver Damage in Non-Alcoholic Fatty Liver Disease Model in Rats by Down-Regulating IL-9 and Tumor Growth Factor TGF-β. Bull Exp Biol Med 2021; 171:638-643. [PMID: 34617180 DOI: 10.1007/s10517-021-05285-2] [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] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Indexed: 02/08/2023]
Abstract
The study employed a rat model to examine the effects of taurine (Tau) on prevention and therapy of non-alcoholic fatty liver disease (NAFLD). In model rats maintained on a high-fat diet (HFD), the serum levels of ALT, AST, triglycerides, cholesterol, and LDL were higher than the corresponding levels in normal control and NP groups (p<0.05). In Tau-prevention and Tau-treatment groups, the serum levels of AST and triglycerides were lower than in HFD rats (p<0.05). In HFD rats, diffuse fatty degeneration and infiltration with inflammatory cells was observed in the liver; in the ileal mucosa, the villi were fractured or absent, the epithelium was exfoliated and infiltrated with inflammatory cells. The levels of TGF-β, IL-9, and their mRNA in the liver and ileal mucosa of HFD rats were significantly higher than in normal control and NP groups (p<0.05). In Tau-prevention and Tau-treatment groups, these levels were significantly lower than in HFD rats (p<0.05). Thus, TGF-β and IL-9 can be implicated in NAFLD genesis, while Tau can preventively or therapeutically diminish the damage to the liver and ileal mucosa in rats with this disease by down-regulating the expression of TGF-β and IL-9.
Collapse
Affiliation(s)
- Z Yao
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - G Liang
- Department of Pathophysiology, Basic Medicine College of Guangxi Medical University, Nanning, China
| | - Z L Lv
- Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L C Lan
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - F L Zhu
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Q Tang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - L Huang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - X Q Chen
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - M X Yang
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Q W Shan
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
| |
Collapse
|
19
|
Muntoni F, Signorovitch J, Sajeev G, Done N, Yao Z, Goemans N, McDonald C, Mercuri E, Niks E, Wong B, Servais L, Straub V, de Groot I, Tian C, Manzur A, Vandenborne K, Dieye I, Lane H, Ward S. DMD/BMD – OUTCOME MEASURES. Neuromuscul Disord 2021. [DOI: 10.1016/j.nmd.2021.07.150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
20
|
Zhang S, Gan S, Zhang Q, Liu L, Meng G, Yao Z, Wu H, Gu Y, Wang Y, Zhang T, Wang X, Sun S, Wang X, Zhou M, Jia Q, Song K, Qi L, Niu K. Ultra-processed food consumption and the risk of non-alcoholic fatty liver disease in the Tianjin Chronic Low-grade Systemic Inflammation and Health Cohort Study. Int J Epidemiol 2021; 51:237-249. [PMID: 34528679 DOI: 10.1093/ije/dyab174] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 08/01/2021] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Growing evidence supports a link between ultra-processed food consumption and human health outcomes. However, the association between ultra-processed food consumption and non-alcoholic fatty liver disease (NAFLD) is not known. We aimed to explore the association between ultra-processed food consumption and risk of NAFLD. METHODS The prospective study included 16 168 participants aged 18-90 years from the Tianjin Chronic Low-grade Systemic Inflammation and Health (TCLSIH) Cohort Study. Information on ultra-processed food consumption was collected at baseline using a validated food frequency questionnaire. NAFLD was defined as the presence of sonographic fatty liver in the absence of significant alcohol intake (≥210 g/week for men and ≥140 g/week for women, respectively) and other liver diseases. Multivariable Cox proportional hazards models were used to examine the association between ultra-processed food consumption and risk of NAFLD. RESULTS During 56 935 person-years of follow-up, we documented 3752 incident NAFLD cases. After adjusting for age, sex, body mass index, smoking, alcohol drinking, education, occupation, income, physical activity, total energy intake, personal and family history of disease and overall diet quality, the multivariable hazard ratios (95% confidence interval) of NAFLD across increasing quartiles of ultra-processed food consumption were 1.00 (reference), 0.99 (0.90, 1.08), 1.13 (1.03, 1.25) and 1.18 (1.07, 1.30), respectively (P for trend <0.0001). The hazard ratio (95% confidence interval) per one standard deviation increase in ultra-processed food consumption, equivalent to a 62.7 g/1000 kcal per day, was 1.06 (1.03, 1.09), P = 0.0001. CONCLUSIONS Our study indicates that higher ultra-processed food consumption is associated with a higher risk of NAFLD. This finding suggests that ultra-processed food, which is widely consumed worldwide, might be a modifiable dietary target to reduce the risk of NAFLD.
Collapse
Affiliation(s)
- Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shinan Gan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhanxin Yao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Institute of Environmental & Operational Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.,Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|
21
|
Huang L, Yao Z, Zhang J. Two cases of pityriasis rosea after the injection of coronavirus disease 2019 vaccine. J Eur Acad Dermatol Venereol 2021; 36:e9-e11. [PMID: 34492136 PMCID: PMC8657324 DOI: 10.1111/jdv.17648] [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: 07/23/2021] [Accepted: 08/26/2021] [Indexed: 01/13/2023]
Affiliation(s)
- L Huang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - J Zhang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| |
Collapse
|
22
|
Zhang S, Meng G, Zhang Q, Liu L, Yao Z, Wu H, Gu Y, Wang Y, Zhang T, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Wang Y, Qi L, Niu K. Consumption of Preserved Egg Is Associated with Modestly Increased Risk of Nonalcoholic Fatty Liver Disease in Chinese Adults. J Nutr 2021; 151:2741-2748. [PMID: 34049388 DOI: 10.1093/jn/nxab163] [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: 03/12/2021] [Revised: 04/12/2021] [Accepted: 04/29/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Although preserved egg is a traditional Chinese delicacy widely consumed in China and Southeast Asian countries, whether habitual preserved egg consumption is associated with nonalcoholic fatty liver disease (NAFLD) remains unknown. OBJECTIVES This study aimed to examine the association between preserved egg consumption and risk of NAFLD in a cohort of Chinese adults. METHODS This prospective cohort study included 15,883 participants aged 19-88 y (58% women) from the TCLSIH (Tianjin Chronic Low-grade Systemic Inflammation and Health) cohort study who were free of liver diseases, cancer, and cardiovascular disease at baseline. Preserved egg consumption was assessed using an FFQ at baseline. NAFLD was diagnosed by transabdominal sonography during an annual health examination. Multivariable Cox proportional hazards regression models were used to calculate HRs and 95% CIs across categories of preserved egg consumption. RESULTS During 56,002 person-years of follow-up, 3683 first incident cases of NAFLD were recorded. After adjustment for sociodemographic characteristics, lifestyle risk factors, total energy intake, egg intake, and eating patterns, the multivariable HRs (95% CIs) of incident NAFLD according to categories of preserved egg consumption were 1.00 (reference) for never, 1.05 (0.98, 1.14) for <1 time/wk, 1.09 (0.96, 1.24) for 1 time/wk, and 1.26 (1.09, 1.46) for ≥2 times/wk (P-trend < 0.01). The results were robust to a series of sensitivity analyses. CONCLUSIONS Habitual preserved egg consumption is associated with a modestly higher risk of NAFLD among the Chinese adult population. The mechanism underlying this association warrants further research.This trial was registered at www.umin.ac.jp/ctr/ as UMIN000027174.
Collapse
Affiliation(s)
- Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhanxin Yao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Institute of Environmental & Operational Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yaogang Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|
23
|
Yin L, Yao Z, Wang Y, Huang YH, Mazuranic M, Yin A. 4MO Preclinical evaluation of novel CDK4/6 inhibitor GLR2007 in breast and lung cancer models. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
|
24
|
Yao Z, Bao B, Qian S, Li Z, Lu Q, Min S, Li M, Wang H. [Correlation of serum ADAMTS13 and TSP1 levels with myocardial injury and prognosis in patients with acute coronary syndrome]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:710-715. [PMID: 34134958 DOI: 10.12122/j.issn.1673-4254.2021.05.11] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate serum levels of von Willebrand factor lytic protease (ADAMTS13) and thrombospondin-1 (TSP1) in patients with different types of acute coronary syndrome (ACS) and their correlation with the patients' clinical prognosis. OBJECTIVE According to their disease history, results of angiography and clinical biochemical tests, a total of 405 patients undergoing coronary angiography, were divided into unstable angina (UAP) group (n=215), acute myocardial infarction (AMI) group (n=96), and angiographically normal group (n=94). Serum ADAMTS13 and TSP1 levels were detected in all the patients, who were followed up for 15 months to evaluate the occurrence of long-term major cardiac adverse events (MACE). OBJECTIVE Serum ADAMTS13 level was significantly lower and TSP1 level was significantly higher in AMI group and UAP group than in the normal group (P < 0.001). Serum ADAMTS13 and TSP1 levels were negative correlated in ACS patients (R=-0.577, P < 0.001). The patients experiencing MACE had significantly different serum TSP1 level from those without MACE (P < 0.05). Cox proportion regression model analysis showed that TSP1 was a risk factor affecting the occurrence of MACE in ACS patients; Kaplan-Meier survival analysis showed that the patients with high levels of TSP1 had a higher incidence of longterm MACE than those with low TSP1 levels. OBJECTIVE A lowered serum ADAMTS13 level and an elevated TSP1 level can support the diagnosis of ACS. An elevated TSP1 level may serve as an indicator for predicting the risk of MACE in patients with ACS.
Collapse
Affiliation(s)
- Z Yao
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - B Bao
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - S Qian
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - Z Li
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - Q Lu
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - S Min
- Anhui Clinical and Preclinical Key Laboratory of Respiratory Disease, Bengbu 233000, China
| | - M Li
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| | - H Wang
- Department of Cardiovascular Disease, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China
| |
Collapse
|
25
|
Shengming J, Yu W, Junlong W, Chengyuan G, Wenqi G, Bing L, Yao Z, Dingwei Y. The germline mutation landscape of cancer susceptibility genes in Chinese patients with upper tract urothelial carcinoma. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01149-0] [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: 11/26/2022]
|
26
|
Yao Z, Dai K, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Sun S, Wang X, Jia Q, Song K, Li Z, Li C, Gao W, Guo C, Niu K. Low dietary quercetin intake by food frequency questionnaire analysis is not associated with hypertension occurrence. Clin Nutr 2021; 40:3748-3753. [PMID: 34130020 DOI: 10.1016/j.clnu.2021.04.047] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 01/17/2021] [Accepted: 04/30/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND & AIMS Quercetin is one of the most abundant flavonoids in plant kingdom. Because of its strong anti-inflammatory and antioxidant effect, it is of potential in anti-hypertension. The objective of the present study was to explore the relationship between dietary quercetin and hypertension incidence in a Chinese population. METHODS Participants aged 17-87 years were recruited at baseline. Those people who did not have hypertension, cardiovascular disease or cancer and finished physical checkup were included in this prospective cohort study. A food frequency questionnaire (FFQ) was performed. Follow-up was conducted once a year. The intake of quercetin was calculated based on FFQ and Chinese food composition table. Three Cox proportional hazard regression models were used to investigate the relationship between quercetin intake and incidence of hypertension. RESULTS The data of 15,662 participants, including 7340 males and 8322 females, were analyzed. The median follow-up period was 3.0 year and the follow-up rate is 85.2%. A total of 2463 subjects developed hypertension during the follow-up period. The mean of daily quercetin intake was 24.7 ± 13.8 mg/day in this population. In the multivariate adjusted Cox proportional hazard regression model, the hazard ratios (95% CI) for hypertension across the ascending quartiles of quercetin intake were: 1.00 (reference), 1.04 (0.92, 1.17), 0.99 (0.87, 1.12), and 1.06 (0.92, 1.21). No significant association was observed between quercetin intake and the incidence of hypertension. CONCLUSION The dietary intake of quercetin alone does not reach a level sufficient to affect the incidence of hypertension in Chinese population.
Collapse
Affiliation(s)
- Zhanxin Yao
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Kun Dai
- Tianjin Rehabilitation Center, Tianjin, China.
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Zhe Li
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Chao Li
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Weina Gao
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Changjiang Guo
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| |
Collapse
|
27
|
Zhang S, Gu Y, Bian S, Lu Z, Zhang Q, Liu L, Meng G, Yao Z, Wu H, Wang Y, Zhang T, Wang X, Sun S, Wang X, Zhou M, Jia Q, Song K, Qi L, Niu K. Soft drink consumption and risk of nonalcoholic fatty liver disease: results from the Tianjin Chronic Low-Grade Systemic Inflammation and Health (TCLSIH) cohort study. Am J Clin Nutr 2021; 113:1265-1274. [PMID: 33564868 DOI: 10.1093/ajcn/nqaa380] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [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: 07/27/2020] [Accepted: 11/20/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Epidemiological evidence for the association of soft drink consumption with nonalcoholic fatty liver disease (NAFLD) is inconsistent, and such association has not been prospectively examined in the general adult population. OBJECTIVES We aimed to investigate the prospective association between soft drink consumption and the risk of NAFLD in a Chinese adult population. METHODS This prospective cohort study investigated 14,845 participants [mean age: 39.3 y; 6203 (41.8%) men] who were free of liver disease, cardiovascular disease, and cancer at baseline. Soft drink consumption (mainly sugar-containing carbonated beverages) was measured at baseline using a validated FFQ. NAFLD was diagnosed based on abdominal ultrasound without significant alcohol consumption and other causes of liver disease. Hepatic steatosis index (HSI) was calculated based on sex, BMI, and blood transaminase levels. Cox proportional hazards regression models were used to examine the association of soft drink consumption with incident NAFLD. RESULTS A total of 2888 first-incident cases of NAFLD occurred during 42,048 person-years of follow-up (median follow-up: 4.2 y). After adjusting for demographic characteristics, lifestyle factors, dietary intake, and inflammatory markers, the multivariable HRs (95% CIs) for incident NAFLD were 1.00 (reference) for <1 serving/wk, 1.18 (1.03, 1.34) for 1 serving/wk, 1.23 (1.08, 1.40) for 2-3 servings/wk, and 1.47 (1.25, 1.73) for ≥4 servings/wk, respectively (P for trend < 0.0001). Further sensitivity analysis showed that the corresponding multivariable HRs (95% CIs) for incident HSI-defined NAFLD were 1.00 (reference), 0.96 (0.70, 1.31), 1.16 (0.83, 1.62), and 1.59 (1.07, 2.37), respectively (P for trend < 0.0001). CONCLUSIONS The results from our prospective study indicate that soft drink consumption is associated with an increased risk of NAFLD in Chinese adults. This study was registered at UMIN Clinical Trials Registry as UMIN000027174.
Collapse
Affiliation(s)
- Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Shanshan Bian
- Department of Nutrition, the Second Hospital of Tianjin Medical University, Tianjin, China
| | - Zuolin Lu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhanxin Yao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Institute of Environmental and Operational Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|
28
|
Abstract
The diversity and activity of the gut microbiota residing in humans and animals are significantly influenced by the diet. Quercetin, one of the representative polyphenols in human diets, possesses a wide range of biological properties. The aim of this study was to investigate the prebiotic effects of quercetin in antibiotic-treated mice. Gut dysbiosis was successfully induced in mice by treatment with an antibiotic cocktail. Gas chromatography and 16S rDNA high-throughput sequencing techniques were used to investigate short-chain fatty acid content and gut microbial diversity and composition. The results showed that quercetin supplementation significantly improved the diversity of the gut bacterial community in antibiotic-treated mice (P < 0.05). Meanwhile, intestinal barrier function was also recovered remarkably as indicated by a decrease in the content of serum d-lactic acid and the activity of serum diamine oxidase (P < 0.05). The length of intestinal villi and mucosal thickness were also significantly increased in response to quercetin treatment (P < 0.05). Furthermore, the production of butyrate in faeces was enhanced significantly in quercetin-treated mice (P < 0.05). In conclusion, quercetin is effective in recovering gut microbiota in mice after antibiotic treatment and may act as a prebiotic in combatting gut dysbiosis.
Collapse
Affiliation(s)
- Tala Shi
- Institute of Environmental and Operational Medicine, Tianjin, China. and Department of Nutrition and Food Hygiene, Binzhou Medical University, Yantai, China
| | - Xiangyu Bian
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Zhanxin Yao
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Yawen Wang
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Weina Gao
- Institute of Environmental and Operational Medicine, Tianjin, China.
| | - Changjiang Guo
- Institute of Environmental and Operational Medicine, Tianjin, China.
| |
Collapse
|
29
|
Tripathi P, Kim M, Sokkam H, Rock J, Howell M, Jansen B, Yao Z. 073 A non-invasive genomic test for early assessment of UV damage in human skin. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
30
|
Wu H, Zhang Q, Liu L, Meng G, Gu Y, Yao Z, Zhang S, Wang Y, Zhang T, Wang X, Wang X, Sun S, Jia Q, Song K, Niu K. Saltwater fish but not freshwater fish consumption is positively related to handgrip strength: The TCLSIH Cohort Study. Nutr Res 2021; 90:46-54. [PMID: 34091118 DOI: 10.1016/j.nutres.2021.04.002] [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: 01/11/2021] [Revised: 03/22/2021] [Accepted: 04/08/2021] [Indexed: 11/16/2022]
Abstract
Fish contain many important nutrients and are primarily known for high n-3 polyunsaturated fatty acids (n-3 PUFA) content. Studies have shown that supplementation of fish oil-derived n-3 PUFA improves muscle mass and strength. Here, we hypothesized that fish consumption might improve muscle strength. To test this hypothesis, we performed this cross-sectional study (n = 29,084) in Tianjin, China. The frequency of fish consumption was assessed using a valid self-administered food frequency questionnaire. Handgrip strength (HGS) was used as the indicator of muscle strength, and was measured using a handheld digital dynamometer. Analysis of covariance was used to examine the relationship between fish consumption and HGS. In men, after adjusted potential confounding factors, the least square means (95% confidence intervals) of HGS across saltwater fish consumption categories were 41.5 (41.1, 43.7) kg for <1 time/week, 44.6 (43.2, 45.8) kg for 1 time/week, and 44.7 (43.3, 46.1) kg for ≥2 to 3 times/week (P for trend <0.001). In men, the least square means (95% confidence intervals) of HGS across the ascending quartiles of dietary n-3 PUFA intake were 43.6 (43.2, 44.4) kg, 43.7 (43.2, 44.6) kg, 44.4 (43.0, 45.8) kg, and 44.6 (43.1, 46.0) kg (P for trend <0.01). The results showed that saltwater fish consumption was positively related to HGS in men, but not in women, suggesting that saltwater fish contain nutrients that may be used to improve HGS.
Collapse
Affiliation(s)
- Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Zhanxin Yao
- Department of Nutrition, Tianjin Institute of Health and Environmental Medicine, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| |
Collapse
|
31
|
Wang X, Lin S, Gan S, Gu Y, Yang Y, Zhang Q, Liu L, Meng G, Yao Z, Zheng D, Wu H, Zhang S, Wang Y, Zhang T, Sun S, Jia Q, Song K, Wu XH, Wu Y, Niu K. Higher plain water intake is related to lower newly diagnosed nonalcoholic fatty liver disease risk: a population-based study. Eur J Clin Nutr 2021; 75:1801-1808. [PMID: 33837275 DOI: 10.1038/s41430-021-00891-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Revised: 02/05/2021] [Accepted: 02/23/2021] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES High plain water intake (PWI) lowered body weight, reduced total energy intake, and increased fat oxidation and energy consumption. Because such factors are closely linked to metabolic disorders, which are the main risk factors for nonalcoholic fatty liver disease (NAFLD) onset, it was speculated that higher PWI was associated with a lower risk of NAFLD. However, no prior human studies have examined such relationship. Therefore, the purpose of this study was to evaluate the relationship between PWI and newly diagnosed NAFLD in a large-scale adult population. SUBJECTS/METHODS A total of 16,434 participants from 2010 to 2019 in Tianjin, China, were included in this cross-sectional study. PWI was assessed by using a validated self-administered food frequency questionnaire, and it was categorized into three subgroups for analysis: ≤3 cups/day, 4-7 cups/day, and >7 cups/day. NAFLD was diagnosed by abdominal ultrasound. Logistic regression analysis was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the relationship between PWI and NAFLD. RESULTS Among 16,434 participants, 20.5% (3,364) had newly diagnosed NAFLD. After controlling for demographic characteristics, lifestyle risk factors, and dietary intake, the adjusted ORs (95% CIs) for having NAFLD across PWI categories were 1.00 (reference) for ≤3 cups/day, 0.84 (0.72, 0.97) for 4-7 cups/day, and 0.77 (0.63, 0.94) for >7 cups/day in males and 1.00 (reference) for ≤3 cups/day, 1.02 (0.81, 1.27) for 4-7 cups/day, and 1.08 (0.78, 1.49) for >7 cups/day in females, respectively. CONCLUSIONS This study is the first to show that higher PWI is independently related to lower newly diagnosed NAFLD among males, but not females. Further studies are needed to explore the causal relationship.
Collapse
Affiliation(s)
- Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shiyu Lin
- Obstetrics and Gynecology Department, Tianjin Medical University General Hospital, Tianjin, China
| | - Shinan Gan
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ying Yang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China.
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhanxin Yao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Institute of Environmental and Operational Medicine, Tianjin, China
| | - Dong Zheng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiao-Hui Wu
- College of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Yuntang Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kaijun Niu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China. .,Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China. .,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China. .,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.
| |
Collapse
|
32
|
Pan C, Humbatova A, Zheng L, Cesarato N, Grimm C, Chen F, Blaumeiser B, Catalán-Lambán A, Patiño-García A, Fischer U, Cheng R, Li Y, Yu X, Yao Z, Li M, Betz RC. Additional causal SNRPE mutations in hereditary hypotrichosis simplex. Br J Dermatol 2021; 185:439-441. [PMID: 33792916 DOI: 10.1111/bjd.20089] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 02/24/2021] [Accepted: 03/26/2021] [Indexed: 11/30/2022]
Affiliation(s)
- C Pan
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - A Humbatova
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - L Zheng
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - N Cesarato
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - C Grimm
- Department of Biochemistry, University of Würzburg, Würzburg, Germany
| | - F Chen
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - B Blaumeiser
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - A Catalán-Lambán
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - A Patiño-García
- Department of Pediatrics, Clínica Universidad de Navarra, Pamplona, Spain
| | - U Fischer
- Department of Biochemistry, University of Würzburg, Würzburg, Germany
| | - R Cheng
- Department of Dermatology, Xinhua Hospital, Shanghai, China
| | - Y Li
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - X Yu
- Department of Dermatology, Xinhua Hospital, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Center for Rare Diseases Diagnosis, Shanghai, China
| | - R C Betz
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| |
Collapse
|
33
|
Pan Z, Huang M, Huang J, Lin Z, Yao Z. P10.03 Health Insurance Coverage and Racial Disparities in Early-Stage Detection and Treatment of Lung Cancer: A Causal Mediation Analysis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.492] [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: 11/16/2022]
|
34
|
Jin T, Ge M, Huang R, Yang Y, Liu T, Zhan Q, Yao Z, Zhang H. Utility of Contrast-Enhanced T2 FLAIR for Imaging Brain Metastases Using a Half-dose High-Relaxivity Contrast Agent. AJNR Am J Neuroradiol 2021; 42:457-463. [PMID: 33361381 DOI: 10.3174/ajnr.a6931] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/04/2020] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Efficient detection of metastases is important for patient' treatment. This prospective study was to explore the clinical value of contrast-enhanced T2 FLAIR in imaging brain metastases using half-dose gadobenate dimeglumine. MATERIALS AND METHODS In vitro signal intensity of various gadolinium concentrations was explored by spin-echo T1-weighted imaging and T2 FLAIR. Then, 46 patients with lung cancer underwent nonenhanced T2 FLAIR before administration of half-dose gadobenate dimeglumine and 3 consecutive contrast-enhanced T2 FLAIR sequences followed by 1 spin-echo T1WI after administration of half-dose gadobenate dimeglumine. After an additional dose of 0.05 mmol/kg, 3D brain volume imaging was performed. All brain metastases were classified as follows: solid-enhancing, ≥ 5 mm (group A); ring-enhancing, ≥ 5 mm (group B); and lesion diameter of <5 mm (group C). The contrast ratio of the lesions on 3 consecutive phases of contrast-enhanced T2 FLAIR was measured, and the percentage increase of contrast-enhanced T2 FLAIR among the 3 groups was compared. RESULTS In vitro, the maximal signal intensity was achieved in T2 FLAIR at one-eighth to one-half of the contrast concentration needed for maximal signal intensity in T1WI. In vivo, the mean contrast ratio values of metastases on contrast-enhanced T2 FLAIR for the 3 consecutive phases ranged from 63.64% to 83.05%. The percentage increase (PI) values of contrast-enhanced T2 FLAIR were as follows: PIA < PIB (P = .001) and PIA < PIC (P < .001). The degree of enhancement of brain metastases on contrast-enhanced T2 FLAIR was lower than on 3D brain volume imaging (P < .001) in group A, and higher than on 3D brain volume imaging (P < .001) in group C. CONCLUSIONS Small or ring-enhancing metastases can be better visualized on delayed contrast-enhanced T2 FLAIR using a half-dose high-relaxivity contrast agent.
Collapse
Affiliation(s)
- T Jin
- From the Department of Radiology (T.J.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - M Ge
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - R Huang
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Y Yang
- Department of Oncology (Y.Y.), Huashan North Hospital, Fudan University, Shanghai, China
| | - T Liu
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Q Zhan
- Department of Oncology (M.G., R.H., T.L., Q.Z.)
| | - Z Yao
- Radiology (Z.Y.), Huashan Hospital, Fudan University, Shanghai, China
| | - H Zhang
- Department of Radiology (H.Z.), The Affiliated Hospital of Qingdao University, Qingdao, China
| |
Collapse
|
35
|
Zhang J, Qin W, Hua S, Li M, Tang Y, Yao Z. Café au lait macules overlying segmental macular hyperpigmentation in a paediatric patient: an early sign for mosaic neurofibromatosis type 1. Br J Dermatol 2020; 184:742-743. [PMID: 33169837 DOI: 10.1111/bjd.19659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 10/24/2020] [Accepted: 10/25/2020] [Indexed: 12/15/2022]
Affiliation(s)
- J Zhang
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - W Qin
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, China
| | - S Hua
- Department of Dermatology, Shanghai Children's Hospital, Shanghai Jiaotong University, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Tang
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| |
Collapse
|
36
|
Pan Z, Huang M, Huang J, Yao Z. The association between napping and the risk of cardiovascular disease and all-cause mortality: a systematic review and dose-response meta-analysis. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Napping is a habit prevalent worldwide and occurs from an early age. Some sleep specialists have suggested it as a potential public health tool due to the prevalence of sleep disorder. However, the association between napping and the risk of cardiovascular disease (CVD) and all-cause mortality remains unclear.
Purpose
To assess the association between napping and the risk of CVD and all-cause mortality.
Methods
We conducted a systematic search of Medline, Embase and Cochrane databases from inception through December 2019 for prospective cohort studies investigating the association between napping and the risk of CVD and/or all-cause mortality. Overall estimates were calculated using random effect models with inverse variance weighting. Dose-response meta-analysis was performed using restricted cubic spline models. The results were reported as hazard ratio (HR) and 95% confidence interval (CI).
Results
A total of 313651 participants (57.8% female, 38.9% took naps) from 20 cohort studies were included in the analysis. Overall, pooled analysis detected no association between daytime nap and CVD (HR 1.13, 95% CI 0.99–1.28). However, in subgroup analysis including only participants who were female (HR 1.31, 95% CI 1.09–1.58), older (age>65 years) (HR 1.36, 95% CI 1.07–1.72), or took a longer nap (nap time>60 minutes) (HR 1.34, 95% CI 1.05–1.63), napping was significantly associated with a higher risk of CVD comparing to not napping. All-cause mortality was associated with napping overall (HR 1.19, 95% CI 1.12–1.26), and effect sizes were even more pronounced in females (HR 1.22, 95% CI 1.13–1.31), older participants (HR 1.27, 95% CI 1.11–1.45) and those who took a long nap (HR 1.30, 95% CI 1.12–1.47). Furthermore, after stratifying participants by night sleep time (<6 and >6h/day), no significant association was detected except those who slept >6h/day at night and took a long nap (HR 1.13, 95% CI 1.03–1.24). Dose-response analysis showed a J-curve relation between nap time and CVD (Figure 1). The HR decreased from 0 to 25 min/day, followed by a sharp increase in the risk at longer times. A positive linear relationship between nap time and all-cause mortality was also observed.
Conclusion
Long napping over 60 minutes per day is associated with increased risks of CVD and all-cause mortality. Night sleep duration may play a role in the relation between napping and all-cause mortality. Further, large-scale prospective cohort studies need to confirm our conclusion and investigate the underlying mechanisms driving these associations.
Funding Acknowledgement
Type of funding source: None
Collapse
Affiliation(s)
- Z Pan
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - M Huang
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - J Huang
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| | - Z Yao
- No.1 Hospital of Guangzhou Medical College, Guangzhou, China
| |
Collapse
|
37
|
Zhang J, Qin W, Hua S, Li M, Tang Y, Yao Z. Café-au-lait macules overlying segmental macular hyperpigmentation in a pediatric patient: an early sign for mosaic neurofibromatosis type 1. Br J Dermatol 2020. [PMID: 33113159 DOI: 10.1111/bjd.19633] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The presentation of multiple café-au-lait macules (CALMs) in children is a common reason for referral to a dermatologist. Segmental CALMs, a subtype of CALMs, is usually limited to a specific part of the body. Mosaic neurofibromatosis type 1 (NF1; OMIM 162200) is a common congenital disorder associated with segmental CALMs with an incidence of about 1 case/40000 patients, which is lower than the prevalence of patients with germline NF1 mutations1,2 .
Collapse
Affiliation(s)
- J Zhang
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - W Qin
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, P. R. China
| | - S Hua
- Department of dermatology, Shanghai Children's hospital, Shanghai JiaoTong University, Shanghai, China
| | - M Li
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Y Tang
- Key Laboratory of Male Reproduction and Genetics, National Health and Family Planning Commission, Guangzhou, 510600, P. R. China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| |
Collapse
|
38
|
Foxen B, Neill C, Dunsworth A, Roushan P, Chiaro B, Megrant A, Kelly J, Chen Z, Satzinger K, Barends R, Arute F, Arya K, Babbush R, Bacon D, Bardin JC, Boixo S, Buell D, Burkett B, Chen Y, Collins R, Farhi E, Fowler A, Gidney C, Giustina M, Graff R, Harrigan M, Huang T, Isakov SV, Jeffrey E, Jiang Z, Kafri D, Kechedzhi K, Klimov P, Korotkov A, Kostritsa F, Landhuis D, Lucero E, McClean J, McEwen M, Mi X, Mohseni M, Mutus JY, Naaman O, Neeley M, Niu M, Petukhov A, Quintana C, Rubin N, Sank D, Smelyanskiy V, Vainsencher A, White TC, Yao Z, Yeh P, Zalcman A, Neven H, Martinis JM. Demonstrating a Continuous Set of Two-Qubit Gates for Near-Term Quantum Algorithms. Phys Rev Lett 2020; 125:120504. [PMID: 33016760 DOI: 10.1103/physrevlett.125.120504] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 06/27/2020] [Accepted: 07/22/2020] [Indexed: 06/11/2023]
Abstract
Quantum algorithms offer a dramatic speedup for computational problems in material science and chemistry. However, any near-term realizations of these algorithms will need to be optimized to fit within the finite resources offered by existing noisy hardware. Here, taking advantage of the adjustable coupling of gmon qubits, we demonstrate a continuous two-qubit gate set that can provide a threefold reduction in circuit depth as compared to a standard decomposition. We implement two gate families: an imaginary swap-like (iSWAP-like) gate to attain an arbitrary swap angle, θ, and a controlled-phase gate that generates an arbitrary conditional phase, ϕ. Using one of each of these gates, we can perform an arbitrary two-qubit gate within the excitation-preserving subspace allowing for a complete implementation of the so-called Fermionic simulation (fSim) gate set. We benchmark the fidelity of the iSWAP-like and controlled-phase gate families as well as 525 other fSim gates spread evenly across the entire fSim(θ,ϕ) parameter space, achieving a purity-limited average two-qubit Pauli error of 3.8×10^{-3} per fSim gate.
Collapse
Affiliation(s)
- B Foxen
- Department of Physics, University of California, Santa Barbara, California 93106, USA
- Google Research, Santa Barbara, California 93117, USA
| | - C Neill
- Google Research, Santa Barbara, California 93117, USA
| | - A Dunsworth
- Google Research, Santa Barbara, California 93117, USA
| | - P Roushan
- Google Research, Santa Barbara, California 93117, USA
| | - B Chiaro
- Department of Physics, University of California, Santa Barbara, California 93106, USA
| | - A Megrant
- Google Research, Santa Barbara, California 93117, USA
| | - J Kelly
- Google Research, Santa Barbara, California 93117, USA
| | - Zijun Chen
- Google Research, Santa Barbara, California 93117, USA
| | - K Satzinger
- Google Research, Santa Barbara, California 93117, USA
| | - R Barends
- Google Research, Santa Barbara, California 93117, USA
| | - F Arute
- Google Research, Santa Barbara, California 93117, USA
| | - K Arya
- Google Research, Santa Barbara, California 93117, USA
| | - R Babbush
- Google Research, Santa Barbara, California 93117, USA
| | - D Bacon
- Google Research, Santa Barbara, California 93117, USA
| | - J C Bardin
- Google Research, Santa Barbara, California 93117, USA
- Department of Electrical and Computer Engineering, University of Massachusetts-Amherst, Amherst, Massachusetts 01003, USA
| | - S Boixo
- Google Research, Santa Barbara, California 93117, USA
| | - D Buell
- Google Research, Santa Barbara, California 93117, USA
| | - B Burkett
- Google Research, Santa Barbara, California 93117, USA
| | - Yu Chen
- Google Research, Santa Barbara, California 93117, USA
| | - R Collins
- Google Research, Santa Barbara, California 93117, USA
| | - E Farhi
- Google Research, Santa Barbara, California 93117, USA
| | - A Fowler
- Google Research, Santa Barbara, California 93117, USA
| | - C Gidney
- Google Research, Santa Barbara, California 93117, USA
| | - M Giustina
- Google Research, Santa Barbara, California 93117, USA
| | - R Graff
- Google Research, Santa Barbara, California 93117, USA
| | - M Harrigan
- Google Research, Santa Barbara, California 93117, USA
| | - T Huang
- Google Research, Santa Barbara, California 93117, USA
| | - S V Isakov
- Google Research, Santa Barbara, California 93117, USA
| | - E Jeffrey
- Google Research, Santa Barbara, California 93117, USA
| | - Z Jiang
- Google Research, Santa Barbara, California 93117, USA
| | - D Kafri
- Google Research, Santa Barbara, California 93117, USA
| | - K Kechedzhi
- Google Research, Santa Barbara, California 93117, USA
| | - P Klimov
- Google Research, Santa Barbara, California 93117, USA
| | - A Korotkov
- Google Research, Santa Barbara, California 93117, USA
| | - F Kostritsa
- Google Research, Santa Barbara, California 93117, USA
| | - D Landhuis
- Google Research, Santa Barbara, California 93117, USA
| | - E Lucero
- Google Research, Santa Barbara, California 93117, USA
| | - J McClean
- Google Research, Santa Barbara, California 93117, USA
| | - M McEwen
- Department of Physics, University of California, Santa Barbara, California 93106, USA
| | - X Mi
- Google Research, Santa Barbara, California 93117, USA
| | - M Mohseni
- Google Research, Santa Barbara, California 93117, USA
| | - J Y Mutus
- Google Research, Santa Barbara, California 93117, USA
| | - O Naaman
- Google Research, Santa Barbara, California 93117, USA
| | - M Neeley
- Google Research, Santa Barbara, California 93117, USA
| | - M Niu
- Google Research, Santa Barbara, California 93117, USA
| | - A Petukhov
- Google Research, Santa Barbara, California 93117, USA
| | - C Quintana
- Google Research, Santa Barbara, California 93117, USA
| | - N Rubin
- Google Research, Santa Barbara, California 93117, USA
| | - D Sank
- Google Research, Santa Barbara, California 93117, USA
| | - V Smelyanskiy
- Google Research, Santa Barbara, California 93117, USA
| | - A Vainsencher
- Google Research, Santa Barbara, California 93117, USA
| | - T C White
- Google Research, Santa Barbara, California 93117, USA
| | - Z Yao
- Google Research, Santa Barbara, California 93117, USA
| | - P Yeh
- Google Research, Santa Barbara, California 93117, USA
| | - A Zalcman
- Google Research, Santa Barbara, California 93117, USA
| | - H Neven
- Google Research, Santa Barbara, California 93117, USA
| | - J M Martinis
- Department of Physics, University of California, Santa Barbara, California 93106, USA
- Google Research, Santa Barbara, California 93117, USA
| |
Collapse
|
39
|
Ma S, Shao S, Yang C, Yao Z, Gao L, Chen W. A preliminary study: proteomic analysis of exosomes derived from thyroid-stimulating hormone-stimulated HepG2 cells. J Endocrinol Invest 2020; 43:1229-1238. [PMID: 32166700 DOI: 10.1007/s40618-020-01210-y] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 03/02/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Thyroid-stimulating hormone (TSH) plays an important role in the regulation of lipid metabolism. However, little is known about the role that exosomes play in the process of TSH-induced lipotoxicity in non-alcoholic fatty liver disease (NAFLD). As a preliminary step, the present study set out to investigate alterations in protein expression in exosomes derived from TSH-stimulated HepG2 cells. METHODS HepG2 cells were treated with TSH, exosomes were collected, and proteins were identified by mass spectrometry (MS). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis were performed to analyze the identified proteins. RESULTS TSH treatment significantly increased exosomal production and changed the exosomal proteomic profile in HepG2 cells. Among the 1728 proteins, 140 identified proteins were upregulated and seven proteins were downregulated. GO analysis and KEGG analysis revealed that these proteins were involved in multiple processes including metabolism, apoptosis, and inflammation. CONCLUSION Our preliminary study demonstrated that exosomes derived from TSH-stimulated hepatocytes were increased and showed a specific altered spectrum of proteins, many of which were involved in metabolism, signal transduction, apoptosis, and inflammation. This study offers new insights into the pathogenesis of TSH-induced lipotoxicity in NAFLD.
Collapse
Affiliation(s)
- S Ma
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - S Shao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, China
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - C Yang
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - Z Yao
- Department of Endocrinology and Metabolism, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China
| | - L Gao
- Scientific Center, Shandong Provincial Hospital Affiliated to, Shandong First Medical University, 324 Jing 5 Road, Jinan, 250021, Shandong, China.
- Scientific Center, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China.
| | - W Chen
- Scientific Center, Shandong Provincial Hospital Affiliated to, Shandong First Medical University, 324 Jing 5 Road, Jinan, 250021, Shandong, China.
- Scientific Center, Shandong Provincial Hospital Affiliated To Shandong University, Jinan, 250021, China.
| |
Collapse
|
40
|
Chen J, Li C, Li H, Yu H, Zhang X, Yan M, Guo Y, Yao Z. Identification of a T H 2-high psoriasis cluster based on skin biomarker analysis in a Chinese psoriasis population. J Eur Acad Dermatol Venereol 2020; 35:150-158. [PMID: 32367566 DOI: 10.1111/jdv.16563] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 03/25/2020] [Accepted: 04/03/2020] [Indexed: 12/26/2022]
Abstract
BACKGROUND Psoriasis is an immune-mediated, chronic inflammatory disease with diverse phenotypes. However, its biological diversity has not been well-characterized in Chinese psoriasis population. OBJECTIVES To characterize psoriasis biological heterogenicity using gene expression profiles of lesional skin biopsy specimens in a Chinese psoriasis population. METHODS Lesional tissues and blood samples from Chinese psoriasis patients (n = 40), atopic dermatitis (AD) patients (n = 25) and age-matched healthy controls (n = 19) were investigated by using real-time PCR array, histological evaluation and flow cytometry. Unsupervised hierarchical clustering was performed using gene expression profiles of patients with psoriasis. RESULTS Two distinct psoriasis clusters were identified. Both clusters indicated high TH 17 activation. One cluster (n = 6 of 40 consecutive psoriasis patients) indicated a strong TH 2 component in skin lesions, with early onset and low peripheral blood eosinophil level. Significantly higher IL-4, IL-13, IL-25, IL-31 and TSLP gene induction typified this cluster of psoriasis patients, even compared with AD patients. Both psoriasis clusters were characterized by neutrophilic microabscess formation. Histologically, the TH 2 high psoriasis cluster indicated a low percentage of perivascular eosinophils. CONCLUSIONS Two distinct psoriasis clusters were identified. One presented early onset and a low eosinophil level, indicating TH 17 polarization and a strong TH 2 component. These results laid the foundation for further demonstrating the pathogenesis of psoriasis in Chinese population.
Collapse
Affiliation(s)
- J Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - C Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Li
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Yu
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - X Zhang
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - M Yan
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Y Guo
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
41
|
Zhang S, Lu Z, Tian C, Zhang Q, Liu L, Meng G, Yao Z, Wu H, Xia Y, Bao X, Gu Y, Sun S, Wang X, Zhou M, Jia Q, Sun Z, Song K, Niu K. Associations between honey consumption and prehypertension in adults aged 40 years and older. Clin Exp Hypertens 2020; 42:420-427. [PMID: 31760826 DOI: 10.1080/10641963.2019.1693584] [Citation(s) in RCA: 2] [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] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Background: Honey has been shown to have multiple positive effects on human health. However, data on the associations of honey consumption with prehypertension are scarce. The aim of this study was to investigate whether honey consumption is associated with prehypertension in a Chinese population. Method: A cross-sectional study was conducted in 4,561 individuals aged ≥40 years. A validated 100-item semi-quantitative food frequency questionnaire was used to assess honey consumption. Blood pressure was measured at least twice by trained nurses. Multiple logistic regression models were used to explore the associations between honey consumption and prehypertension. Results: After adjustment for potential confounders, the odds ratios and 95% confidence intervals of prehypertension across increasing frequency of honey consumption were 1.00 (reference) for almost never, 1.17 (0.96, 1.41) for ≤6 times/week, and 1.25 (0.86, 1.84) for ≥7 times/week in men (P for trend = 0.09); 1.00 (reference) for almost never, 0.76 (0.62, 0.92) for ≤6 times/week, and 0.84 (0.63, 1.12) for ≥7 times/week in women (P for trend = 0.055), respectively. Conclusion: Our results showed that light-to-moderate intake of honey was associated with lower prevalence of prehypertension in women, but not men. Future studies are required to confirm these associations.
Collapse
Affiliation(s)
- Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zuolin Lu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Chunling Tian
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhanxin Yao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Institute of Health and Environmental Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yang Xia
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xue Bao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhong Sun
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.,Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| |
Collapse
|
42
|
Zhang C, Cui M, Xing J, Yang H, Yao Z, Zhang N, Su X. Clinicopathologic features and prognosis of synchronous and metachronous multiple primary colorectal cancer. Clin Transl Oncol 2020; 23:335-343. [PMID: 32592156 DOI: 10.1007/s12094-020-02426-3] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 06/10/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE Multiple primary colorectal cancers (MPCCs) are different from solitary colorectal cancers in many aspects, which are not well studied. The aim of this study was to clarify the clinicopathological features and prognosis of MPCCs. METHODS The data of 64 patients with MPCCs out of 2300 patients with colorectal cancers (CRCs) from January 2009 to December 2017 were retrospectively analyzed. Stratified analysis was conducted based on subtypes and microsatellite status. RESULTS The overall incidence of MPCC was 2.8% and the median follow-up duration was 51.5 (range 1-120) months. Metachronous CRCs (MCRCs) are more likely to appear in the right colon (p < 0.05). However, no significant differences regarding age, sex, BMI, tumor size, smoking/drinking history, TNM stage, family history of cancer, and 5-year survival rate were observed between synchronous CRC (SCRC) and MCRC. Advanced TNM stage (III) and the presence of polyps were found to be independent poor prognostic factors for MPCCs. The prevalence of mismatch repair deficiency (dMMR) in MPCCs was 28.1%. Deficient MMR is more likely to appear in younger, lighter MPCC patients with polyps (p < 0.05). Of four mismatch repair proteins, MLH-1, MSH-2, MSH-6, and PMS-2 were negative in nine, nine, five, and nine patients, respectively. The 5-year survival rate did not differ significantly between MMR-proficient (pMMR) and dMMR groups (p = 0.752). CONCLUSIONS Synchronous CRC (SCRC) and MCRC might represent similar disease entities with different courses. Deficient MMR is more likely to appear in younger, lighter MPCC patients with polyps and it is an essential indicator for screening Lynch syndrome.
Collapse
Affiliation(s)
- C Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - M Cui
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - J Xing
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - H Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - Z Yao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - N Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China
| | - X Su
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Surgery IV, Peking University Cancer Hospital and Institute, 52 Fu-Cheng Road, Hai-Dian District, Beijing, 100142, China.
| |
Collapse
|
43
|
Long H, Zhao H, Chen A, Yao Z, Cheng B, Lu Q. Protecting medical staff from skin injury/disease caused by personal protective equipment during epidemic period of COVID-19: experience from China. J Eur Acad Dermatol Venereol 2020; 34:919-921. [PMID: 32441424 PMCID: PMC7280671 DOI: 10.1111/jdv.16388] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 03/19/2020] [Indexed: 12/01/2022]
Abstract
Linked articles: COVID‐19 SPECIAL FORUM. J Eur Acad Dermatol Venereol 2020; 34: e210–e216.
Collapse
Affiliation(s)
- H Long
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - H Zhao
- Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - A Chen
- Department of Dermatology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - B Cheng
- Department of Dermatology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Q Lu
- Department of Dermatology, The Second Xiangya Hospital of Central South University, Changsha, China.,Chinese Society of Dermatology (Dermatology Branch of Chinese Medical Association), Beijing, China
| |
Collapse
|
44
|
Utsunomiya T, Zhang N, Lin T, Kohno Y, Ueno M, Maruyama M, Yao Z, Goodman S. Injection of mscs mitigates particle associated chronic inflammation of bone. Cytotherapy 2020. [DOI: 10.1016/j.jcyt.2020.03.373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|
45
|
Yao Z, Wang Z, Fang B, Chen J, Zhang X, Luo Z, Huang L, Zou H, Yang Y. Involvement of nitrogen in storage root growth and related gene expression in sweet potato (Ipomoea batatas). Plant Biol (Stuttg) 2020; 22:376-385. [PMID: 31943638 DOI: 10.1111/plb.13088] [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] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 12/17/2019] [Indexed: 06/10/2023]
Abstract
Nitrogen (N) could affect storage root growth and development of sweet potato. To manage external N concentration fluctuations, plants have developed a wide range of strategies, such as growth changes and gene expression. Five sweet potato cultivars were used to analyse the functions of N in regulating storage root growth. Growth responses and physiological indicators were measured to determine the physiological changes regulated by different N concentrations. Expression profiles of related genes were analysed via microarray hybridization data and qRT-PCR analysis to reveal the molecular mechanisms of storage root growth regulated by different N concentrations. The growth responses and physiological indicators of the five cultivars were changed by N concentration. The root fresh weight of two of the sweet potato cultivars, SS19 and GS87, was higher under low N concentrations compared with the other cultivars. SS19 and GS87 were found to be having greater tolerance to low N concentration. The expression of N metabolism and storage root growth related genes was regulated by N concentration in sweet potato. These results reveal that N significantly regulated storage root growth. SS19 and GS87 were more tolerant to low N concentration and produced greater storage root yield (at 30 days). Furthermore, several N response genes were involved in both N metabolism and storage root growth.
Collapse
Affiliation(s)
- Z Yao
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Z Wang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - B Fang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - J Chen
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - X Zhang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Z Luo
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - L Huang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - H Zou
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Y Yang
- Guangdong Provincial Key Laboratory of Crops Genetics and Improvement, Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| |
Collapse
|
46
|
Gu Y, Zhang S, Wang J, Chi VTQ, Zhang Q, Liu L, Meng G, Yao Z, Wu H, Bao X, Sun S, Zhou M, Jia Q, Song K, Huang J, Huo J, Zhang B, Ding G, Niu K. Relationship between consumption of raw garlic and handgrip strength in a large-scale adult population. Clin Nutr 2020; 39:1234-1241. [DOI: 10.1016/j.clnu.2019.05.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 04/05/2019] [Accepted: 05/16/2019] [Indexed: 12/19/2022]
|
47
|
Ji T, Li X, Meng G, Gu Y, Zhang Q, Liu L, Wu H, Yao Z, Zhang S, Wang Y, Zhang T, Wang X, Cao X, Li H, Liu Y, Wang X, Wang X, Sun S, Zhou M, Jia Q, Song K, Sun Z, Wu XH, Niu K. The association between banana consumption and the depressive symptoms in Chinese general adult population: A cross-sectional study. J Affect Disord 2020; 264:1-6. [PMID: 31846806 DOI: 10.1016/j.jad.2019.12.008] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 12/01/2019] [Accepted: 12/04/2019] [Indexed: 11/30/2022]
Abstract
BACKGROUND Banana contains many kinds of substances that are beneficial to depressive symptoms. However, there are no epidemiological researches directly to explore the association between banana consumption and depressive symptoms. This study aimed to investigate whether the banana consumption is related to depressive symptoms in a general adult population. METHODS A cross-sectional study was performed in 24,673 adults in Tianjin. Banana consumption was evaluated via a validated food frequency questionnaire. Depressive symptoms were assessed by using Self-Rating Depression Scale (SDS). The association between banana consumption and depressive symptoms was analyzed by multiple logistic regression analysis. RESULTS The prevalence of depressive symptoms was 16.1% in males and 18.4% in females (SDS ≥ 45), respectively. In males, comparing to the reference group (almost never), the multivariable adjusted odds ratios (ORs) (95% confidence intervals) of depressive symptoms across banana consumption were 0.86 (0.74, 0.99) for <1 time/week, 0.76 (0.66, 0.88) for 1-3 times/week and 0.97 (0.82, 1.16) for ≥4 times/week. By contrast, the multivariable adjusted ORs (95% confidence intervals) were 1.11 (0.94, 1.32) for <1 time/week, 0.99 (0.85, 1.16) for 1-3 times/week and 1.22 (1.02, 1.46) for ≥4 times/week in females. Similar association was observed when other cut-offs (SDS ≥ 48 and 50) were used to define depressive symptoms. LIMITATION This is a cross-sectional study, causality remains unknown. CONCLUSION Findings from this study suggested a negative association between moderate banana consumption and depressive symptoms in males. In females, high banana consumption is positively related to depressive symptoms.
Collapse
Affiliation(s)
- Tong Ji
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xiaoyue Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China; Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Zhanxin Yao
- Tianjin Institute of Health and Environmental Medicine, Tianjin, China
| | - Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Yawen Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Tingjing Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xingqi Cao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Huiping Li
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Yunyun Liu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xiaohe Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhong Sun
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Xiao-Hui Wu
- College of Pharmacy, Tianjin Medical University, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin 300070, China; Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China; Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|
48
|
Affiliation(s)
- J Chen
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - H Yu
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Z Yao
- Department of Dermatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Institute of Dermatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
49
|
Chen J, Yang J, Huang X, Ni L, Fan Q, Liu T, Yao Z, Chen Y. Reduced segregation and integration of structural brain network associated with sympathetic and dorsal penile nerve activity in anejaculation patients: a graph‐based connectome study. Andrology 2019; 8:392-399. [PMID: 31610095 DOI: 10.1111/andr.12715] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Revised: 09/11/2019] [Accepted: 10/08/2019] [Indexed: 12/14/2022]
Affiliation(s)
- J. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - J. Yang
- Department of Urology Jiangsu Provincial People's Hospital First Affiliated Hospital of Nanjing Medical University Nanjing China
| | - X. Huang
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - L. Ni
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - Q. Fan
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - T. Liu
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| | - Z. Yao
- Department of Psychiatry Nanjing Brain Hospital Affiliated Hospital of Nanjing Medical University Nanjing China
| | - Y. Chen
- Department of Andrology Jiangsu Province Hospital of Chinese Medicine Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing China
| |
Collapse
|
50
|
Zhang S, Gu Y, Wang L, Zhang Q, Liu L, Lu M, Meng G, Yao Z, Wu H, Xia Y, Bao X, Wang H, Shi H, Sun S, Wang X, Zhou M, Jia Q, Song K, Xiang H, Niu K. Association between dietary raw garlic intake and newly diagnosed nonalcoholic fatty liver disease: a population-based study. Eur J Endocrinol 2019; 181:591-602. [PMID: 31557727 DOI: 10.1530/eje-19-0179] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [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: 03/10/2019] [Accepted: 09/26/2019] [Indexed: 11/08/2022]
Abstract
BACKGROUND AND AIMS The protective effect of garlic against nonalcoholic fatty liver disease (NAFLD) has been reported in animal studies. However, in humans, the association between garlic consumption and NAFLD is unclear. The study sought to explore the association between habitual raw garlic intake and newly diagnosed NAFLD among Chinese adults. METHODS We performed a study of 11,326 men and 12,780 women aged 20-90 years. Habitual food intake was assessed using a validated and standardized 100-item food frequency questionnaire. Diagnosis of NAFLD was based on the liver ultrasonography and self-reported alcohol intake. Multiple logistic regression was used to evaluate the association of raw garlic intake with newly diagnosed NAFLD. RESULTS The prevalence of newly diagnosed NAFLD was 28.9% in men and 10.1% in women, respectively. In men, the fully adjusted odds ratios (95% confidence interval) of having NAFLD across increasing frequency of raw garlic intake were 1.00 (reference) for <1 time/week, 0.81 (0.73, 0.90) for 1-3 times/week, 0.66 (0.54, 0.80) for 4-6 times/week, and 0.71 (0.55, 0.90) for ≥7 times/week (P for trend <0.0001). The odds ratio for NAFLD associated with each 1 g of raw garlic/1000 kcal was 0.93 (0.90, 0.97) in men. In women, no significant association between raw garlic intake and NAFLD was identified. These associations between raw garlic intake and NAFLD were consistent in several sensitivity analyses. CONCLUSIONS Frequent consumption of raw garlic is inversely associated with NAFLD in Chinese men. Further investigations are needed to confirm this finding.
Collapse
Affiliation(s)
- Shunming Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Liu Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Min Lu
- Department of Gastroenterology, Tianjin Third Central Hospital, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhanxin Yao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Institute of Health and Environmental Medicine, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yang Xia
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xue Bao
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Honglei Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hongbin Shi
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Huiling Xiang
- Department of Gastroenterology, Tianjin Third Central Hospital, Tianjin, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|