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Dong K, Wu F, Cheng S, Li S, Zhang F, Xing X, Jin X, Luo S, Feng M, Miao R, Chang Y, Zhang S, You X, Wang P, Zhang X, Lei C, Ren Y, Zhu S, Guo X, Wu C, Yang DL, Lin Q, Cheng Z, Wan J. OsPRMT6a-mediated arginine methylation of OsJAZ1 regulates jasmonate signaling and spikelet development in rice. Mol Plant 2024:S1674-2052(24)00127-8. [PMID: 38704640 DOI: 10.1016/j.molp.2024.04.014] [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] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 04/04/2024] [Accepted: 04/29/2024] [Indexed: 05/06/2024]
Abstract
Although both protein arginine methylation (PRMT) and jasmonate (JA) signaling are crucial for regulating plant development, the relationship between these processes in spikelet development control remains unclear. Here, we utilized CRISPR/Cas9 technology to generate two OsPRMT6a loss-of-function mutants exhibiting various abnormal spikelet structures. Additionally, we found that OsPRMT6a could methylate arginine residues in the JA signal repressors OsJAZ1 and OsJAZ7. Arginine methylation of OsJAZ1 increased the affinity of OsJAZ1 for the JA receptors OsCOI1a and OsCOI1b in the presence of jasmonates (JAs), subsequently promoting the ubiquitination of OsJAZ1 by the SCFOsCOI1a/OsCOI1b complex and degradation via the 26S proteasome. This process ultimately released OsMYC2, a core transcriptional regulator in the JA signaling pathway, to activate or repress JA-responsive genes, thereby maintaining normal plant (spikelet) development. However, in the osprmt6a-1 mutant, reduced arginine methylation of OsJAZ1 impaired the interaction between OsJAZ1 and OsCOI1a/OsCOI1b in the presence of JAs. As a result, OsJAZ1 proteins became more stable, repressing JA responses, thus causing the formation of abnormal spikelet structures. Moreover, we discovered that JA signaling reduced the OsPRMT6a mRNA level in an OsMYC2-dependent manner, thereby establishing a negative feedback loop to balance JA signaling. Furthermore, we found that OsPRMT6a-mediated arginine methylation of OsJAZ1 likely serves as a switch to tune JA signaling to maintain normal spikelet development under harsh environmental conditions such as high temperatures. Thus, our study established a direct molecular link between arginine methylation and the JA signaling pathway.
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Affiliation(s)
- Kun Dong
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Fuqing Wu
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Siqi Cheng
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Shuai Li
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Feng Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xinxin Xing
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xin Jin
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Sheng Luo
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Miao Feng
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Rong Miao
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Yanqi Chang
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shuang Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiaoman You
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Peiran Wang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Xin Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Cailin Lei
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yulong Ren
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shanshan Zhu
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiuping Guo
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chuanyin Wu
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Dong-Lei Yang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Qibing Lin
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Zhijun Cheng
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Jianmin Wan
- State Key Laboratory of Crop Gene Resources and Breeding, National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China.
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Suba K, Patel Y, Martin-Alonso A, Hansen B, Xu X, Roberts A, Norton M, Chung P, Shrewsbury J, Kwok R, Kalogianni V, Cheng S, Liu X, Kalyviotis K, Rutter GA, Jones B, Minnion J, Owen BM, Pantazis P, Distaso W, Drucker DJ, Tan TM, Bloom SR, Murphy KG, Salem V. Intra-islet glucagon signalling regulates beta-cell connectivity, first-phase insulin secretion and glucose homoeostasis. Mol Metab 2024:101947. [PMID: 38677509 DOI: 10.1016/j.molmet.2024.101947] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/26/2024] [Accepted: 04/19/2024] [Indexed: 04/29/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is characterised by the loss of first-phase insulin secretion. We studied mice with β-cell selective loss of the glucagon receptor (Gcgrfl/fl X Ins-1Cre), to investigate the role of intra-islet glucagon receptor signalling on pan-islet calcium activity and insulin secretion. METHODS Metabolic profiling was conducted on Gcgrβ-cell-/- and littermate controls. Crossing with GCaMP6f (STOP flox) animals further allowed for β-cell specific expression of a fluorescent calcium indicator. These islets were functionally imaged in vitro and in vivo. Wild-type mice were transplanted with islets expressing GCaMP6f in β-cells into the anterior eye chamber and placed on a high fat diet. Part of the cohort received a glucagon analogue (GCG-analogue) for 40 days and the control group were fed to achieve weight matching. Calcium imaging was performed regularly during the development of hyperglycaemia and in response to GCG-analogue treatment. RESULTS Gcgrβ-cell-/- mice exhibited higher glucose levels following intraperitoneal glucose challenge (control 12.7 mmol/L ± 0.6 vs. Gcgrβ-cell-/- 15.4 mmol/L ± 0.0 at 15 min, p = 0.002); fasting glycaemia was not different to controls. In vitro, Gcgrβ-cell-/- islets showed profound loss of pan-islet [Ca2+]I waves in response to glucose which was only partially rescued in vivo. Diet induced obesity and hyperglycaemia also resulted in a loss of co-ordinated [Ca2+]I waves in transplanted islets. This was reversed with GCG-analogue treatment, independently of weight-loss (n = 8). CONCLUSION These data provide novel evidence for the role of intra-islet GCGR signalling in sustaining synchronised [Ca2+]I waves and support a possible therapeutic role for glucagonergic agents to restore the insulin secretory capacity lost in T2D.
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Affiliation(s)
- K Suba
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom; Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - Y Patel
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - A Martin-Alonso
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - B Hansen
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - X Xu
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - A Roberts
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - M Norton
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - P Chung
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - J Shrewsbury
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - R Kwok
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - V Kalogianni
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - S Cheng
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - X Liu
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - K Kalyviotis
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - G A Rutter
- CHUM Research Center, University of Montreal, QC, Canada; Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom; Lee Kong Chian Imperial Medical School, Nanyang Technological University, Singapore
| | - B Jones
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - J Minnion
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - B M Owen
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - P Pantazis
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - W Distaso
- Imperial College Business School, Imperial College London, London SW7 2AZ, United Kingdom
| | - D J Drucker
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Canada
| | - T M Tan
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - S R Bloom
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - K G Murphy
- Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom
| | - V Salem
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom; Section of Investigative Medicine, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom; Section of Cell Biology and Functional Genomics, Division of Diabetes, Endocrinology and Metabolism, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, United Kingdom.
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Huang L, Cheng S, Liu Z, Zou C, Yan H. [Transdermal patches containing Cassia seed extract applied at the navel for slow transit constipation in rats: therapeutic effect and analysis of the spectrum-effect relationship]. Nan Fang Yi Ke Da Xue Xue Bao 2024; 44:720-726. [PMID: 38708506 DOI: 10.12122/j.issn.1673-4254.2024.04.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
OBJECTIVE To explore the therapeutic effect of transdermal patches containing Cassia seed extract applied at the navel on slow transit constipation (STC) in rats and explore the spectrum-effect relationship of the patches. METHOD In a STC rat model established by gavage of compound diphenoxylate suspension for 14 days, the transdermal patches containing low, medium and high doses of Cassia seed extract (41.75, 125.25, and 375.75 mg/kg, respectively) were applied at the Shenque acupoint on the abdomen for 14 days after modeling, with constipation patches (13.33 mg/kg) as the positive control. After the treatment, fecal water content and intestinal propulsion rate of the rats were calculated, the pathological changes in the colon were observed with HE staining. Serum NO and NOS levels and the total protein content and NO, NOS and AChE expressions in the colon tissue were determined. HPLC fingerprints of the transdermal patches were established, and the spectrum-effect relationship between the common peaks of the patches and its therapeutic effect were analyzed. RESULTS Treatment with the transdermal patches containing Cassia seed extract significantly increased fecal water content and intestinal propulsion rate of the rat models, where no pathological changes in the colon tissue were detected. The treatment also suppressed the elevations of serum and colonic NO and NOS levels and reduction of AChE in STC rats. Twenty-eight common peaks were confirmed in the HPLC fingerprints of 6 batches of Cassia seed extract-containing patches. Analysis of the spectrum-effect relationship showed that autrantio-obtusin had the greatest contribution to the therapeutic effect of the patches in STC rats. CONCLUSION The Cassia seed extract-containing patches alleviates STC in rats via synergistic actions of multiple active ingredients in the extract, where autrantio-obtusin, rhein, chrysoobtusin, obtusin, obtusifolin, emodin, chrysophanol, and physcion are identified as the main active ingredients.
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Affiliation(s)
- L Huang
- School of Pharmacy, Wannan Medical College, Wuhu 241002, China
| | - S Cheng
- School of Pharmacy, Wannan Medical College, Wuhu 241002, China
| | - Z Liu
- School of Pharmacy, Wannan Medical College, Wuhu 241002, China
| | - C Zou
- School of Pharmacy, Wannan Medical College, Wuhu 241002, China
| | - H Yan
- School of Pharmacy, Wannan Medical College, Wuhu 241002, China
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Cheng S, Li X, Liu J. Self-consciousness mediated the role of the insula in self-disclosure: Evidence from rs-fMRI data. Acta Psychol (Amst) 2024; 243:104133. [PMID: 38280348 DOI: 10.1016/j.actpsy.2024.104133] [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: 09/20/2023] [Revised: 12/11/2023] [Accepted: 01/08/2024] [Indexed: 01/29/2024] Open
Abstract
INTRODUCTION Self-disclosure is integral to forming intimate connections within interpersonal exchanges. While its advantages are widely acknowledged, the cerebral basis of self-disclosure is not thoroughly understood. Insight into its neural underpinnings is crucial for refining therapeutic approaches, especially for challenges associated with self-disclosure. METHODS Our study probed the association between spontaneous neural activity, gauged via resting-state fMRI, and self-disclosure tendencies among 258 healthy university students, employing Regional Homogeneity (ReHo) and behavioral correlation analysis. We also explored the mediating effect of self-consciousness on this relationship. RESULTS The ReHo-behavior correlation analysis uncovered that higher ReHo values in the insula are predictive of greater self-disclosure in social settings. Additionally, the mediation analysis identified self-consciousness as a partial intermediary between spontaneous neural activity in the insula and self-disclosure behaviors. CONCLUSION The findings imply that decreased similarity in the insula during rest-state may amplify self-conscious emotions such as embarrassment, thus illuminating the cognitive processes that underlie disclosure behaviors. Critically, these insights have practical ramifications for enhancing therapeutic methods and communication skills by aiding individuals in navigating self-consciousness obstacles, thereby promoting more transparent and efficacious self-disclosure.
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Affiliation(s)
- Siqi Cheng
- School of Journalism and Communication, Jinan University, Guangzhou 510000, China
| | - Xueting Li
- Department of Psychology, Renmin University of China, Beijing 100872, China.
| | - Jia Liu
- Department of Psychology & Tsinghua Laboratory of Brain and Intelligence, Tsinghua University, Beijing 100084, China.
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Wu Y, Cheng S, Lei S, Li D, Li Z, Guo Y. The Association Between the Composite Dietary Antioxidant Index and Frailty Symptoms: Mediating Effects of Oxidative Stress. Clin Interv Aging 2024; 19:163-173. [PMID: 38332967 PMCID: PMC10849906 DOI: 10.2147/cia.s448354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/19/2024] [Indexed: 02/10/2024] Open
Abstract
Background There is growing evidence that an antioxidant diet is a protective factor against frailty. However, few studies have examined the effect of comprehensive dietary antioxidants on frailty symptoms. The aim of this study was to examine the relationships between the composite dietary antioxidant index (CDAI) and frailty and the underlying mechanisms involved. Methods Based on the National Health and Nutrition Survey (NHANES) 2003-2018, this study included 11,277 older persons aged ≥60 years. In this study, frailty was defined as having a total score >0.21 on the 49-item frailty index. Six dietary antioxidants were selected for use in calculating the CDAI. A weighted multiple logistic regression model with subgroup analysis and restricted cubic splines (RCSs) were used to examine the association between the CDAI and frailty. To examine the role of oxidative stress, mediation analyses were also conducted. Results The association between the CDAI score and frailty risk was significant according to the multivariate model. Compared with participants in tertile 1, participants in both tertile 2 and tertile 3 had lower odds of developing frailty symptoms (OR=0.86; 95% CI=0.75-0.97; P=0.02; and OR=0.81; 95% CI=0.70-0.93; P=0.003). According to the subgroup analyses, the differences in interactions were not statistically significant. There was also a potential nonlinear relationship between the CDAI score and frailty risk. The serum albumin concentration and uric acid concentration had significant mediating effects on the association between the CDAI score and frailty index, with 19.25% (P=0.002) and 21.26% (P < 0.001) of the total, respectively. Conclusion Frailty is negatively associated with the CDAI score, which may be partially mediated by oxidative stress.
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Affiliation(s)
- Yue Wu
- Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Siqi Cheng
- Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Shaoyuan Lei
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Dongxiao Li
- Department of Neurology, Hebei Provincial Hospital of Traditional Chinese Medicine, Shijiazhuang, People’s Republic of China
| | - Zhongzhong Li
- Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang, People’s Republic of China
| | - Yansu Guo
- Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, People’s Republic of China
- Beijing Municipal Geriatric Medical Research Center, Beijing, People’s Republic of China
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He ZK, Wang Z, Kao QJ, Cheng S, Feng S, Zhao TT, Tao YY, Yu XF, Sun Z. [Epidemiological characteristics of a local cluster epidemic caused by the BA.2 evolutionary branch of Omicron variant]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:65-70. [PMID: 38228551 DOI: 10.3760/cma.j.cn112150-20230828-00131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2024]
Abstract
Descriptive epidemiological methods were used to analyze the epidemiological characteristics of the local cluster of COVID-19 in the logistic park of Yuhang District in Hangzhou in March 2022. The cluster epidemic was detected by a case who actively visited the fever clinic. The epidemic lasted for 8 days, and a total of 58 cases (53 workers, 2 students, 1 farmer, 1 teacher and 1 unemployed) were found, including 40 males and 18 females. The age was (33.29±12.22) years. There cases were mainly in Yuhang District (48 cases, 82.77%) and Shangcheng District (7 cases, 12.07%) of Hangzhou. The real-time regeneration number peaked at 2.31 on March 10th and decreased to 0.37 on March 15th. The sequencing result of the indicated case was 100% homologous with the sequence uploaded from South Korea on March 4th, 2022.
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Affiliation(s)
- Z K He
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Z Wang
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Q J Kao
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - S Cheng
- Microbiological Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - S Feng
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - T T Zhao
- Institute of Health Relative Factors Monitoring, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Y Y Tao
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - X F Yu
- Microbiological Laboratory, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
| | - Z Sun
- Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou 310021, China
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Hao H, Xing X, Li Y, Chu H, Zhao L, Cheng S, Liu Y, Wang T, Meng N, Duan R. Value evaluation of serum (sdLDLc*HCYc)/HDLc ratio in the stability of intracranial arterial plaques in patients with acute cerebral infarction. Acta Biochim Pol 2023; 70:911-917. [PMID: 38060820 DOI: 10.18388/abp.2020_6817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/01/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND We aimed to analyze the value of serum (sdLDLc*HCYc)/HDLc ratio in the stability of intracranial arterial plaques among patients with acute cerebral infarction. METHODS A retrospective analysis was conducted on 140 patients with acute cerebral infarction admitted to the neurology department and 101 healthy individuals for regular examinations in our hospital from 2013 to 2019, who were respectively allocated into the study group and the control group. Participants in both groups were measured for serum sdLDLc, HDLc, and HCYc using peroxidase method, enzyme-linked immunosorbent assay, and enzyme method, respectively. The laboratory indexes of the two groups were compared. The multivariate logistic regression analysis was done to analyze the influencing factors of the stability of intracranial artery plaque in patients with acute cerebral infarction. The value of high-density lipoprotein cholesterol (HDL-C), homocysteine, sdLDLc, (sdLDLc*HCYc)/HDLc in diagnosing the stability of intracranial artery plaque was also evaluated in patients with acute cerebral infarction. RESULTS There was no distinct difference in height, hypertension, diabetes, coronary heart disease, smoking history and drinking history between the two groups (P>0.05). The study group showed statistically significant differences in age, gender, weight, and BMI (P<0.05). The current study demonstrated no statistical difference in the levels of TG, low-density lipoprotein cholesterol (LDL-C), α-lipoprotein, and HCYc between the two groups (P>0.05). However, the levels of TC, HDL-C, sdLDLc, (sdLDLc*HCYc)/HDLc in the study group were significantly different when comparing with the control group (P<0.05). No statistically significant difference was found in the levels of TG, triglycerides, LDL-C, α-lipoprotein, and HCYc among patients with different degrees of stenosis in the study group (P>0.05). The level of HDL-C was significantly lower in cases of severe stenosis compared to no stenosis, mild stenosis and moderate stenosis, with severe stenosis showing the lowest levels; mild stenosis had lower levels than no stenosis, while moderate stenosis had lower levels than both no stenosis and mild stenosis (P<0.05). The levels of sdLDLc, (sdLDLc*HCYc)/HDLc exhibited a significant increase in cases of severe stenosis as compared tono stenosis, mild stenosis, and moderate stenosis. Furthermore, the levels of sdLDLc, (sdLDLc*HCYc)/HDLc were found to be higher in moderate stenosis as compared to no stenosis and mild stenosis. Similarly, the levels of sdLDLc, (sdLDLc*HCYc)/HDLc were observed to be higher in mild stenosis than no stenosis (P<0.05).The independent variables were set as the indicators with difference in single factor comparison, including age, gender, BMI, TC, LDL-C, HDL-C, HCYc, sdLDLc, (sdLDLc*HCYc)/HDLc. The dependent variable was the stability of intracranial artery plaque in patients with acute cerebral infarction. After variable selection, the results showed that the factors influencing the stability of intracranial artery plaque in patients with acute cerebral infarction were age, BMI, (sdLDLc*HCYc)/HDLc. The degree of plaque enhancement was used as a criterion to reflect the stability of plaque. ROC curve analysis showed that (sdLDLc*HCYc)/HDLc had a higher evaluation value for the stability of intracranial artery plaque than HDL-C, homocysteine, and sdLDLc in patients with acute cerebral infarction. CONCLUSION The serum (sdLDLc*HCYc)/HDLc ratio was found to have potential in evaluating the stability of intracranial arterial plaques in patients with acute cerebral infarction.
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Affiliation(s)
- Hongyu Hao
- 1Department of Neurology, Hebei General Hospital, Shijiazhuang, China; 2Hebei Provincial Key Laboratory of Cerebral Networks and Cognitive Disorders, Shijiazhuang, China
| | - Xing Xing
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Yajing Li
- Department of Pharmacy, Hebei General Hospital, Shijiazhuang, China
| | - Hongshan Chu
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Lei Zhao
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Siqi Cheng
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Yang Liu
- Department of Pathology, Hebei General Hospital, Shijiazhuang, China
| | - Tiankui Wang
- Department of Medical Service, Hebei General Hospital, Shijiazhuang, Chin
| | - Nan Meng
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Ruisheng Duan
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
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8
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Lei D, Jian A, Huang X, Liu X, Chen L, Bai W, Cheng S, He X, Xiong Y, Yu X, Wang C, Zheng H, You S, Wang Q, Lu J, Hu Y, Xie Z, Jiang L, Zhang X, Ren Y, Lei C, Cheng Z, Lin Q, Wu C, Zhu S, Zhao Z, Wan J. Anther-specific expression of OsRIP1 causes dominant male sterility in rice. Plant Biotechnol J 2023; 21:1932-1934. [PMID: 37551552 PMCID: PMC10502742 DOI: 10.1111/pbi.14140] [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] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 08/09/2023]
Affiliation(s)
- Dekun Lei
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Anqi Jian
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Xianbo Huang
- Sanming Academy of Agricultural ScienceSanming CityChina
| | - Xi Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Liangming Chen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Wenting Bai
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Siqi Cheng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Xiaodong He
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Yehui Xiong
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Xiaowen Yu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Chaolong Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Hai Zheng
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Shimin You
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Qiming Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Jiayu Lu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Yang Hu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Zhenwei Xie
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Ling Jiang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Xin Zhang
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Yulong Ren
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Cailin Lei
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Zhijun Cheng
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Qibing Lin
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Chuanyin Wu
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Shanshan Zhu
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
| | - Zhigang Zhao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
| | - Jianmin Wan
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and UtilizationNanjing Agricultural UniversityNanjingChina
- State Key Laboratory of Crop Gene Resources and BreedingInstitute of Crop Sciences,Chinese Academy of Agricultural Sciences (CAAS)BeijingChina
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9
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Wang C, Wang J, Lu J, Xiong Y, Zhao Z, Yu X, Zheng X, Li J, Lin Q, Ren Y, Hu Y, He X, Li C, Zeng Y, Miao R, Guo M, Zhang B, Zhu Y, Zhang Y, Tang W, Wang Y, Hao B, Wang Q, Cheng S, He X, Yao B, Gao J, Zhu X, Yu H, Wang Y, Sun Y, Zhou C, Dong H, Ma X, Guo X, Liu X, Tian Y, Liu S, Wang C, Cheng Z, Jiang L, Zhou J, Guo H, Jiang L, Tao D, Chai J, Zhang W, Wang H, Wu C, Wan J. A natural gene drive system confers reproductive isolation in rice. Cell 2023; 186:3577-3592.e18. [PMID: 37499659 DOI: 10.1016/j.cell.2023.06.023] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 02/02/2023] [Accepted: 06/28/2023] [Indexed: 07/29/2023]
Abstract
Hybrid sterility restricts the utilization of superior heterosis of indica-japonica inter-subspecific hybrids. In this study, we report the identification of RHS12, a major locus controlling male gamete sterility in indica-japonica hybrid rice. We show that RHS12 consists of two genes (iORF3/DUYAO and iORF4/JIEYAO) that confer preferential transmission of the RHS12-i type male gamete into the progeny, thereby forming a natural gene drive. DUYAO encodes a mitochondrion-targeted protein that interacts with OsCOX11 to trigger cytotoxicity and cell death, whereas JIEYAO encodes a protein that reroutes DUYAO to the autophagosome for degradation via direct physical interaction, thereby detoxifying DUYAO. Evolutionary trajectory analysis reveals that this system likely formed de novo in the AA genome Oryza clade and contributed to reproductive isolation (RI) between different lineages of rice. Our combined results provide mechanistic insights into the genetic basis of RI as well as insights for strategic designs of hybrid rice breeding.
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Affiliation(s)
- Chaolong Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jian Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jiayu Lu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Yehui Xiong
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Beijing Advanced Innovation Center for Structural Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zhigang Zhao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaowen Yu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaoming Zheng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jing Li
- Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650200, China
| | - Qibing Lin
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yulong Ren
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yang Hu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaodong He
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Chao Li
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Yonglun Zeng
- Centre for Cell & Developmental Biology and State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Rong Miao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Mali Guo
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Bosen Zhang
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Ying Zhu
- Centre for Cell & Developmental Biology and State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Yunhui Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Weijie Tang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Yunlong Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Benyuan Hao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Qiming Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Siqi Cheng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaojuan He
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Bowen Yao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Junwen Gao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Xufei Zhu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Hao Yu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Yong Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Yan Sun
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Chunlei Zhou
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Hui Dong
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaoding Ma
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiuping Guo
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xi Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Yunlu Tian
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Shijia Liu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Chunming Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Zhijun Cheng
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ling Jiang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China
| | - Jiawu Zhou
- Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650200, China
| | - Huishan Guo
- State Key Laboratory of Plant Genomics, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Liwen Jiang
- Centre for Cell & Developmental Biology and State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
| | - Dayun Tao
- Food Crops Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650200, China
| | - Jijie Chai
- Beijing Advanced Innovation Center for Structural Biology, Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Wei Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
| | - Haiyang Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Chuanyin Wu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Jianmin Wan
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China; State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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10
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Yuan YX, Shi Q, He Y, Qiu HL, Yi HM, Dong L, Wang L, Cheng S, Xu PP, Zhao WL. [Clinical characteristics and efficacy analysis of 11 patients with primary cutaneous diffuse large B-cell lymphoma, leg type]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:690-693. [PMID: 37803847 PMCID: PMC10520235 DOI: 10.3760/cma.j.issn.0253-2727.2023.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Indexed: 10/08/2023]
Affiliation(s)
- Y X Yuan
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China Department of Hematology and Rheumatology, Longyan First Hospital Affiliated to Fujian Medicine University, Longyan 364000, China
| | - Q Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Y He
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H L Qiu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H M Yi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Dong
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Cheng
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - P P Xu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W L Zhao
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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11
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Guo J, Zhang R, Cheng S, Fu Z, Jia P, Luan H, Zhang X, Qi G, Guo S. Physiological and transcriptomic analysis reveal the crucial factors in heat stress response of red raspberry 'Polka' seedlings. Front Plant Sci 2023; 14:1233448. [PMID: 37621881 PMCID: PMC10445156 DOI: 10.3389/fpls.2023.1233448] [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] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 07/12/2023] [Indexed: 08/26/2023]
Abstract
With global climate warming, recurring extreme heat and high temperatures irreversibly damage plants. Raspberries, known for their nutritional and medicinal value, are in high demand worldwide. Thus, it is important to study how high-temperature stress (HTS) affects raspberries. The physiological and biochemical responses and molecular genetic mechanisms of raspberry leaves to different HTS treatments were investigated: mild high temperature at 35°C (HT35), severe high temperature at 40°C (HT40), and the control at room temperature of 25°C (CK). The physiological results suggested that leaves in both the 35°C and 40°C treatments showed maximum relative conductivity at 4 d of stress, increasing by 28.54% and 43.36%, respectively, compared to CK. Throughout the stress period (0-4 d), malondialdehyde (MDA) and soluble protein contents of raspberry leaves increased under HT35 and HT40 treatments, while soluble sugar content first decreased and then increased. Catalase (CAT) activity increased, superoxide dismutase (SOD) activity first increased and then decreased, and peroxidase (POD) activity gradually decreased. Photosynthetic and fluorescence responses of raspberry leaves showed the most severe impairment after 4 d of stress. Transcriptomics results revealed significant alterations in 42 HSP family genes, two SOD-related differentially expressed genes (DEGs), 25 POD-related DEGs, three CAT-related DEGs, and 38 photosynthesis-related DEGs under HTS. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that these DEGs were mainly enriched in photosynthesis-antenna proteins, pentose and glucuronide interconversion, phenylpropane biosynthesis, and indole alkaloid biosynthesis. HTS induced excessive ROS accumulation in raspberry leaves, causing oxidative damage in plant cells and subsequently reducing photosynthesis in raspberry leaves. This reduction in photosynthesis, in turn, affects photosynthetic carbon fixation and starch and sucrose metabolism, which, combined with phenol propane biosynthesis, mitigates the HTS-induced damage.
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Affiliation(s)
| | | | | | | | | | | | - Xuemei Zhang
- College of Forestry, Hebei Agricultural University, Baoding, China
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12
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Liu CY, Cheng S, Pang YJ, Yu CQ, Sun DJY, Pei P, Chen JS, Chen ZM, Lyu J, Li LM. [Tea consumption and cancer: a Mendelian randomization study]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1027-1036. [PMID: 37482703 DOI: 10.3760/cma.j.cn112338-20230217-00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: A Mendelian randomization (MR) analysis was performed to assess the relationship between tea consumption and cancer. Methods: There were 100 639 participants with the information of gene sequencing of whole genome in the China Kadoorie Biobank. After excluding those with cancer at baseline survey, a total of 100 218 participants were included in this study. The baseline information about tea consumption were analyzed, including daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption. We used the two-stage least square method to evaluate the associations between three tea consumption variables and incidence of cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer. Multivariable MR and analysis only among nondrinkers were used to control the impact of alcohol consumption. Sensitivity analyses were also performed, including inverse variance weighting, weighted median, and MR-Egger. Results: We used 54, 42, and 28 SNPs to construct non-weighted genetic risk scores as instrumental variables for daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption, respectively. During an average of (11.4±3.0) years of follow-up, 6 886 cases of cancer were recorded. After adjusting for age, age2, sex, region, array type, and the first 12 genetic principal components, there were no significant associations of three tea consumption variables with the incidence of cancer and cancer subtypes. Compared with non-daily tea drinkers, the HR (95%CI) of daily tea drinkers for cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer, are respectively 0.99 (0.78-1.26), 1.17 (0.58-2.36), 0.86 (0.40-1.84), 0.85 (0.42-1.73), 1.39 (0.85-2.26) and 0.63 (0.28-1.38). After controlling the impact of alcohol consumption and performing multiple sensitivity analyses, the results were similar. Conclusion: There is no causal relationship between tea consumption and risk of cancer in population in China.
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Affiliation(s)
- C Y Liu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Cheng
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y J Pang
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - C Q Yu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - D J Y Sun
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - P Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - J S Chen
- China National Center for Food Safety Risk Assessment, Beijing 100022, China
| | - Z M Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - J Lyu
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
| | - L M Li
- Key Laboratory of Epidemiology of Major Diseases, Ministry of Education/Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China
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13
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Wang Y, Shi ZY, Shi Q, Wang S, Zhang MC, Shen R, He Y, Qiu HL, Yi HM, Dong L, Wang L, Cheng S, Xu PP, Zhao WL. [Clinicopathologic characteristics and prognostic analysis of testicular diffuse large B-cell lymphoma]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:321-327. [PMID: 37357002 DOI: 10.3760/cma.j.issn.0253-2727.2023.04.010] [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] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
Objective: To analyze the clinicopathologic characteristics and prognosis of testicular diffuse large B-cell lymphoma (DLBCL) . Methods: A retrospective analysis was performed on 68 patients with testicular DLBCL admitted to Ruijin Hospital affiliated to Shanghai Jiao Tong University School of Medicine from October 2001 to April 2020. The gene mutation profile was evaluated by targeted sequencing (55 lymphoma-related genes) , and prognostic factors were analyzed. Results: A total of 68 patients were included, of whom 45 (66.2% ) had primary testicular DLBCL and 23 (33.8% ) had secondary testicular DLBCL. The proportion of secondary testicular DLBCL patients with Ann Arbor stage Ⅲ-Ⅳ (P<0.001) , elevated LDH (P<0.001) , ECOG score ≥ 2 points (P=0.005) , and IPI score 3-5 points (P<0.001) is higher than that of primary testicular DLBCL patients. Sixty-two (91% ) patients received rituximab in combination with cyclophosphamide, adriamycin, vincristine, and prednisone (R-CHOP) -based first-line regimen, whereas 54 cases (79% ) underwent orchiectomy prior to chemotherapy. Patients with secondary testicular DLBCL had a lower estimated 5-year progression-free survival (PFS) rate (16.5% vs 68.1% , P<0.001) and 5-year overall survival (OS) rate (63.4% vs 74.9% , P=0.008) than those with primary testicular DLBCL, and their complete remission rate (57% vs 91% , P=0.003) was also lower than that of primary testicular DLBCL. The ECOG scores of ≥2 (PFS: P=0.018; OS: P<0.001) , Ann Arbor stages Ⅲ-Ⅳ (PFS: P<0.001; OS: P=0.018) , increased LDH levels (PFS: P=0.015; OS: P=0.006) , and multiple extra-nodal involvements (PFS: P<0.001; OS: P=0.013) were poor prognostic factors in testicular DLBCL. Targeted sequencing data in 20 patients with testicular DLBCL showed that the mutation frequencies of ≥20% were PIM1 (12 cases, 60% ) , MYD88 (11 cases, 55% ) , CD79B (9 cases, 45% ) , CREBBP (5 cases, 25% ) , KMT2D (5 cases, 25% ) , ATM (4 cases, 20% ) , and BTG2 (4 cases, 20% ) . The frequency of mutations in KMT2D in patients with secondary testicular DLBCL was higher than that in patients with primary testicular DLBCL (66.7% vs 7.1% , P=0.014) and was associated with a lower 5-year PFS rate in patients with testicular DLBCL (P=0.019) . Conclusion: Patients with secondary testicular DLBCL had worse PFS and OS than those with primary testicular DLBCL. The ECOG scores of ≥2, Ann Arbor stages Ⅲ-Ⅳ, increased LDH levels, and multiple extra-nodal involvements were poor prognostic factors in testicular DLBCL. PIM1, MYD88, CD79B, CREBBP, KMT2D, ATM, and BTG2 were commonly mutated genes in testicular DLBCL, and the prognosis of patients with KMT2D mutations was poor.
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Affiliation(s)
- Y Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Z Y Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Q Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - M C Zhang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - R Shen
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Y He
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H L Qiu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - H M Yi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Dong
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Cheng
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - P P Xu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W L Zhao
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Liu Y, Zhao B, Cheng Y, Zhao T, Zhang A, Cheng S, Zhang J. Does the quality of street greenspace matter? Examining the associations between multiple greenspace exposures and chronic health conditions of urban residents in a rapidly urbanising Chinese city. Environ Res 2023; 222:115344. [PMID: 36693460 DOI: 10.1016/j.envres.2023.115344] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 08/23/2022] [Revised: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND Numerous studies have demonstrated that greenspace(GS) exposure is associated with health improvements in individuals with hypertension and diabetes. However, studies examining the associations between multiple GS exposures and chronic health conditions in developing countries are limited. METHODS Geospatial data and spatial analysis were employed to objectively measure the total neighbourhood vegetative cover (mean value of normalised difference vegetation index [NDVI] within specific buffer zone) and proximity to park-based GS (network distance from home to the entrance of park-based GS). Street view imagery and machine learning techniques were used to measure the subjective perceptions of street GS quality. A multiple linear regression model was applied to examine the associations between multiple GS exposures and the prevalence of hypertension and diabetes in neighbourhoods located in Qingdao, China. RESULTS The model explained 29.8% and 28.2% of the prevalence of hypertension and diabetes, respectively. The results suggested that: 1) the total vegetative cover of the neighbourhood was inversely correlated with the prevalence of hypertension (β = -0.272, p = 0.013, 95% confidence interval (CI): [-1.332, -0.162]) and diabetes (β = -0.230, p = 0.037, 95% CI: [-0.720, -0.008]). 2) The street GS quality was negatively correlated with the prevalence of hypertension (β = -0.303, p = 0.007, 95% CI: [-2.981, -0.491]) and diabetes (β = -0.309, p = 0.006, 95% CI: [-1.839, -0.314]). 3) Proximity to park-based GS and the prevalence of hypertension and diabetes mellitus were not significantly correlated. CONCLUSIONS This study used subjective and objective methods to comprehensively assess the greenspace exposure from overhead to eye level, from quantity, proximity to quality. The results demonstrated the beneficial relationships between street GS quality, total vegetative cover, and chronic health in a rapidly urbanising Chinese city. Furthermore. the effect of street GS quality was more pronounced in potentially mitigating chronic health problems, and improving the quality of street GS might be an efficient and effective intervention pathway for addressing chronic health issues in densely populated cities.
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Affiliation(s)
- Yawen Liu
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, 210037, China
| | - Bing Zhao
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, 210037, China.
| | - Yingyi Cheng
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, 210037, China
| | - Tianyi Zhao
- College of Acupuncture and Massage, Health and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Ao Zhang
- College of Acupuncture and Massage, Health and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Siqi Cheng
- College of Horticulture Science, Zhejiang Agriculture & Forestry University, Hangzhou, 310000, China
| | - Jinguang Zhang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, 210037, China.
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15
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Cheng S, Zhong L, Yin J, Duan H, Xie Q, Luo W, Jie W. Controllable digital and analog resistive switching behavior of 2D layered WSe 2 nanosheets for neuromorphic computing. Nanoscale 2023; 15:4801-4808. [PMID: 36779310 DOI: 10.1039/d2nr06580k] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Memristors with controllable resistive switching (RS) behavior have been considered as promising candidates for synaptic devices in next-generation neuromorphic computing. In this work, two-terminal memristors with controllable digital and analog RS behavior are fabricated based on two-dimensional (2D) WSe2 nanosheets. Under a relatively high operating voltage of 4 V, the memristor demonstrates stable and reliable non-volatile bipolar digital RS with a high switching ratio of 6.3 × 104. On the other hand, under a relatively low operation voltage, the memristor exhibits analog RS with a series of tunable resistance states. The fabricated memristors can work as an artificial synapse with fundamental synaptic functions, such as long-term potentiation (LTP) and depression (LTD) as well as paired-pulse facilitation (PPF). More importantly, the memristor demonstrates high conductance modulation linearity with the calculated nonlinear parameter for conductance as -0.82 in the LTP process, which is beneficial to improving the accuracy of neuromorphic computing. Furthermore, the neuromorphic computing of file types and image recognition can be emulated based on a constructed three-layer artificial neural network (ANN) with a recognition accuracy that can reach up to 95.9% for small digits. In addition, memristors can be used to emulate the learning-forgetting experience of the human brain. Consequently, the memristor based on 2D WSe2 nanosheets not only exhibits controllable RS behavior but also simulates synaptic functions and is expected to be a potential candidate for future neuromorphic computing applications.
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Affiliation(s)
- Siqi Cheng
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| | - Lun Zhong
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| | - Jinxiang Yin
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| | - Huan Duan
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
| | - Qin Xie
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Wenbo Luo
- State Key Laboratory of Electronic Thin Films and Integrated Devices, School of electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Wenjing Jie
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, 610066, China.
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16
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Allega A, Anderson MR, Andringa S, Antunes J, Askins M, Auty DJ, Bacon A, Barros N, Barão F, Bayes R, Beier EW, Bezerra TS, Bialek A, Biller SD, Blucher E, Caden E, Callaghan EJ, Cheng S, Chen M, Cleveland B, Cookman D, Corning J, Cox MA, Dehghani R, Deloye J, Deluce C, Depatie MM, Dittmer J, Dixon KH, Di Lodovico F, Falk E, Fatemighomi N, Ford R, Frankiewicz K, Gaur A, González-Reina OI, Gooding D, Grant C, Grove J, Hallin AL, Hallman D, Heintzelman WJ, Helmer RL, Hu J, Hunt-Stokes R, Hussain SMA, Inácio AS, Jillings CJ, Kaluzienski S, Kaptanoglu T, Khaghani P, Khan H, Klein JR, Kormos LL, Krar B, Kraus C, Krauss CB, Kroupová T, Lam I, Land BJ, Lawson I, Lebanowski L, Lee J, Lefebvre C, Lidgard J, Lin YH, Lozza V, Luo M, Maio A, Manecki S, Maneira J, Martin RD, McCauley N, McDonald AB, Mills C, Morton-Blake I, Naugle S, Nolan LJ, O'Keeffe HM, Orebi Gann GD, Page J, Parker W, Paton J, Peeters SJM, Pickard L, Ravi P, Reichold A, Riccetto S, Richardson R, Rigan M, Rose J, Rosero R, Rumleskie J, Semenec I, Skensved P, Smiley M, Svoboda R, Tam B, Tseng J, Turner E, Valder S, Virtue CJ, Vázquez-Jáuregui E, Wang J, Ward M, Wilson JR, Wilson JD, Wright A, Yanez JP, Yang S, Yeh M, Yu S, Zhang Y, Zuber K, Zummo A. Evidence of Antineutrinos from Distant Reactors Using Pure Water at SNO. Phys Rev Lett 2023; 130:091801. [PMID: 36930908 DOI: 10.1103/physrevlett.130.091801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/14/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The SNO+ Collaboration reports the first evidence of reactor antineutrinos in a Cherenkov detector. The nearest nuclear reactors are located 240 km away in Ontario, Canada. This analysis uses events with energies lower than in any previous analysis with a large water Cherenkov detector. Two analytical methods are used to distinguish reactor antineutrinos from background events in 190 days of data and yield consistent evidence for antineutrinos with a combined significance of 3.5σ.
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Affiliation(s)
- A Allega
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M R Anderson
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - S Andringa
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
| | - J Antunes
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Instituto Superior Técnico (IST), Departamento de Física, Avenida Rovisco Pais, 1049-001, Lisboa, Portugal
| | - M Askins
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - D J Auty
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - A Bacon
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - N Barros
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - F Barão
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Instituto Superior Técnico (IST), Departamento de Física, Avenida Rovisco Pais, 1049-001, Lisboa, Portugal
| | - R Bayes
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - E W Beier
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - T S Bezerra
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - A Bialek
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - S D Biller
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - E Blucher
- The Enrico Fermi Institute and Department of Physics, The University of Chicago, Chicago, Illinois 60637, USA
| | - E Caden
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - E J Callaghan
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - S Cheng
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M Chen
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - B Cleveland
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - D Cookman
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - J Corning
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M A Cox
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - R Dehghani
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Deloye
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - C Deluce
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - M M Depatie
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - J Dittmer
- Technische Universität Dresden, Institut für Kern und Teilchenphysik, Zellescher Weg 19, Dresden 01069, Germany
| | - K H Dixon
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - F Di Lodovico
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - E Falk
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - N Fatemighomi
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - R Ford
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - K Frankiewicz
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - A Gaur
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - O I González-Reina
- Universidad Nacional Autónoma de México (UNAM), Instituto de Física, Apartado Postal 20-364, México D.F. 01000, México
| | - D Gooding
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - C Grant
- Department of Physics, Boston University, 590 Commonwealth Avenue, Boston, Massachusetts 02215, USA
| | - J Grove
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - A L Hallin
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - D Hallman
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - W J Heintzelman
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - R L Helmer
- TRIUMF, 4004 Wesbrook Mall, Vancouver, British Columbia V6T 2A3, Canada
| | - J Hu
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - R Hunt-Stokes
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S M A Hussain
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - A S Inácio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - C J Jillings
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - S Kaluzienski
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - T Kaptanoglu
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - P Khaghani
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - H Khan
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - J R Klein
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - L L Kormos
- Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - B Krar
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Kraus
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - C B Krauss
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - T Kroupová
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - I Lam
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - B J Land
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - I Lawson
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - L Lebanowski
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - J Lee
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Lefebvre
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Lidgard
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - Y H Lin
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - V Lozza
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - M Luo
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - A Maio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - S Manecki
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
- SNOLAB, Creighton Mine #9, 1039 Regional Road 24, Sudbury, Ontario P3Y 1N2, Canada
| | - J Maneira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), Avenida Professor Gama Pinto, 2, 1649-003, Lisboa, Portugal
- Universidade de Lisboa, Faculdade de Ciéncias (FCUL), Departamento de Física, Campo Grande, Edifício C8, 1749-016, Lisboa, Portugal
| | - R D Martin
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - N McCauley
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - A B McDonald
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - C Mills
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - I Morton-Blake
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Naugle
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
| | - L J Nolan
- School of Physics and Astronomy, Queen Mary University of London, 327 Mile End Road, London E1 4NS, United Kingdom
| | - H M O'Keeffe
- Physics Department, Lancaster University, Lancaster LA1 4YB, United Kingdom
| | - G D Orebi Gann
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - J Page
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - W Parker
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - J Paton
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S J M Peeters
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - L Pickard
- University of California, Davis, 1 Shields Avenue, Davis, California 95616, USA
| | - P Ravi
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - A Reichold
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Riccetto
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - R Richardson
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - M Rigan
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - J Rose
- Department of Physics, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - R Rosero
- Chemistry Department, Brookhaven National Laboratory, Building 555, P.O. Box 5000, Upton, New York 11973-500, USA
| | - J Rumleskie
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - I Semenec
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - P Skensved
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - M Smiley
- Department of Physics, University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720-8153, USA
| | - R Svoboda
- University of California, Davis, 1 Shields Avenue, Davis, California 95616, USA
| | - B Tam
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J Tseng
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - E Turner
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - S Valder
- Physics & Astronomy, University of Sussex, Pevensey II, Falmer, Brighton, BN1 9QH, United Kingdom
| | - C J Virtue
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - E Vázquez-Jáuregui
- Universidad Nacional Autónoma de México (UNAM), Instituto de Física, Apartado Postal 20-364, México D.F. 01000, México
| | - J Wang
- University of Oxford, The Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, United Kingdom
| | - M Ward
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J R Wilson
- Department of Physics, King's College London, Strand Building, Strand, London WC2R 2LS, United Kingdom
| | - J D Wilson
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - A Wright
- Department of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - J P Yanez
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - S Yang
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
| | - M Yeh
- Chemistry Department, Brookhaven National Laboratory, Building 555, P.O. Box 5000, Upton, New York 11973-500, USA
| | - S Yu
- School of Natural Sciences, Laurentian University, 935 Ramsey Lake Road, Sudbury, Ontario P3E 2C6, Canada
| | - Y Zhang
- Department of Physics, University of Alberta, 4-181 CCIS, Edmonton, Alberta T6G 2E1, Canada
- Research Center for Particle Science and Technology, Institute of Frontier and Interdisciplinary Science, Shandong University, Qingdao 266237, Shandong, China
- Key Laboratory of Particle Physics and Particle Irradiation of Ministry of Education, Shandong University, Qingdao 266237, Shandong, China
| | - K Zuber
- Technische Universität Dresden, Institut für Kern und Teilchenphysik, Zellescher Weg 19, Dresden 01069, Germany
- MTA Atomki, 4001 Debrecen, Hungary
| | - A Zummo
- Department of Physics & Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, Pennsylvania 19104-6396, USA
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Lin QZ, Liu HZ, Zhou WP, Cheng ZJ, Lou JY, Zheng SG, Bi XY, Wang JM, Guo W, Li FY, Wang J, Zheng YM, Li JD, Cheng S, Zeng YY. [Effect of postoperative adjuvant chemotherapy on prognosis of patients with intrahepatic cholangiocarcinoma:a multicenter retrospective study]. Zhonghua Wai Ke Za Zhi 2023; 61:305-312. [PMID: 36822587 DOI: 10.3760/cma.j.cn112139-20230106-00010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Objectives: To examine the influence of adjuvant chemotherapy after radical resection on the survival of patients with intrahepatic cholangiocarcinoma(ICC) and to identify patients who may benefit from it. Methods: The clinical and pathological data of 654 patients with ICC diagnosed by postoperative pathology from December 2011 to December 2017 at 13 hospitals in China were collected retrospectively. According to the inclusion and exclusion criteria,455 patients were included in this study,including 69 patients (15.2%) who received adjuvant chemotherapy and 386 patients (84.8%) who did not receive adjuvant chemotherapy. There were 278 males and 177 females,with age of 59 (16) years (M(IQR))(range:23 to 88 years). Propensity score matching (PSM) method was used to balance the difference between adjuvant chemotherapy group and non-adjuvant chemotherapy group. Kaplan-Meier method was used to plot the survival curve,the Log-rank test was used to compare the difference of overall survival(OS) and recurrence free survival(RFS)between the two groups. Univariate analysis was used to determine prognostic factors for OS. Multivariate Cox proportional hazards models were then performed for prognostic factors with P<0.10 to identify potential independent risk factors. The study population were stratified by included study variables and the AJCC staging system,and a subgroup analysis was performed using the Kaplan-Meier method to explore the potential benefit subgroup population of adjuvant chemotherapy. Results: After 1∶1 PSM matching,69 patients were obtained in each group. There was no significant difference in baseline data between the two groups (all P>0.05). After PSM,Cox multivariate analysis showed that lymph node metastasis (HR=3.06,95%CI:1.52 to 6.16,P=0.039),width of resection margin (HR=0.56,95%CI:0.32 to 0.99,P=0.044) and adjuvant chemotherapy (HR=0.51,95%CI:0.29 to 0.91,P=0.022) were independent prognostic factors for OS. Kaplan-Meier analysis showed that the median OS time of adjuvant chemotherapy group was significantly longer than that of non-adjuvant chemotherapy group (P<0.05). There was no significant difference in RFS time between the adjuvant chemotherapy group and the non-adjuvant chemotherapy group (P>0.05). Subgroup analysis showed that,the OS of female patients,without HBV infection,carcinoembryonic antigen<9.6 μg/L,CA19-9≥200 U/ml,intraoperative bleeding<400 ml,tumor diameter>5 cm,microvascular invasion negative,without lymph node metastasis,and AJCC stage Ⅲ patients could benefit from adjuvant chemotherapy (all P<0.05). Conclusion: Adjuvant chemotherapy can prolong the OS of patients with ICC after radical resection,and patients with tumor diameter>5 cm,without lymph node metastasis,AJCC stage Ⅲ,and microvascular invasion negative are more likely to benefit from adjuvant chemotherapy.
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Affiliation(s)
- Q Z Lin
- Department of Hepatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350002,China
| | - H Z Liu
- Department of Hepatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350002,China
| | - W P Zhou
- Department of Hepatobiliary Surgery Ⅲ, the Third Affiliated Hospital of Naval Medical University,Shanghai 200438,China
| | - Z J Cheng
- Department of Hepatobiliary and Pancreatic Surgery,Zhongda Hospital, Southeast University,Nanjing 210009,China
| | - J Y Lou
- Department of Hepatobiliary Surgery,the Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou 310009,China
| | - S G Zheng
- Department of Hepatobiliary Surgery,the Southwest Hospital of Army Medical University,Chongqing 400038,China
| | - X Y Bi
- Department of Hepatobiliary Surgery,Cancer Hospital,Peking Union Medical University,Chinese Academy of Medical Sciences,Beijing 100021,China
| | - J M Wang
- Department of Hepatobiliary Surgery,Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Wuhan 430030,China
| | - W Guo
- Department of Hepatobiliary Surgery,Beijing Friendship Hospital Affiliated to Capital Medical University,Beijing 100050,China
| | - F Y Li
- Department of Hepatobiliary Surgery, West China Hospital, Sichuan University,Chengdu 610041,China
| | - J Wang
- Department of Hepatobiliary Surgery,Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine,Shanghai 200127,China
| | - Y M Zheng
- Department of Hepatobiliary Surgery,Xuanwu Hospital,Capital Medical University,Beijing 100053,China
| | - J D Li
- Department of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College,Nanchong 637000,China
| | - S Cheng
- Department of Hepatobiliary Surgery,Tiantan Hospital Affiliated to Capital Medical University,Beijing 100070,China
| | - Y Y Zeng
- Department of Hepatobiliary Surgery,Mengchao Hepatobiliary Hospital of Fujian Medical University,Fuzhou 350002,China
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18
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Jin J, Wen Q, Qiu Y, Cheng S, Guo X. Distributed robust optimization for low-carbon dispatch of wind-thermal power under uncertainties. Environ Sci Pollut Res Int 2023; 30:20980-20994. [PMID: 36264472 DOI: 10.1007/s11356-022-23591-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 11/25/2021] [Accepted: 10/08/2022] [Indexed: 06/16/2023]
Abstract
Faced with the requirement of carbon emission reduction in power industry, low-carbon power dispatch involving various low-carbon approaches has been recognized as one of effective ways. Concentrate on several important approaches: wind power integration and carbon reduction cooperation, it is necessary to deal with the uncertainties of wind power and carbon reduction modes for thermal power encountered in low-carbon power dispatch. For this purpose, this paper firstly presents a distributed robust optimization model synthetically considering robustness, economy, and environment. Next, wind power characterizations, scenario division and compression methods, and allocation algorithms of initial carbon emission rights are fully discussed for the convenience of model solution. Finally, empirical analysis shows that (1) the proposed model proves to be effective not only in coping with wind power uncertainties and reducing operating costs, (2) but also in dealing with the uncertainties of carbon reduction modes and reducing carbon emissions, and (3) low-carbon power dispatching strategies combining robustness, economy, and environment could be achieved through the proposed model and method, which are especially helpful to minimize interference from these two types of uncertainty more scientifically and reasonably.
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Affiliation(s)
- Jingliang Jin
- College of Science, Nantong University, 9 Seyuan Road, Nantong, China.
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing, China.
| | - Qinglan Wen
- College of Science, Nantong University, 9 Seyuan Road, Nantong, China
| | - Yaru Qiu
- College of Science, Nantong University, 9 Seyuan Road, Nantong, China
| | - Siqi Cheng
- College of Science, Nantong University, 9 Seyuan Road, Nantong, China
| | - Xiaojun Guo
- College of Science, Nantong University, 9 Seyuan Road, Nantong, China
- College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangjun Avenue, Nanjing, China
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Huo YJ, Zhang MC, Shi Q, Qin W, Shi ZY, Wang L, Cheng S, Xu PP, Zhao WL. [Clinical characteristics and prognosis of primary and secondary diffuse large B-cell lymphoma of the pancreas]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:55-61. [PMID: 36987724 PMCID: PMC10067375 DOI: 10.3760/cma.j.issn.0253-2727.2023.01.010] [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] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Objective: To analyze the clinical characteristics and prognosis of primary and secondary pancreatic diffuse large B-cell lymphoma (DLBCL) . Methods: Clinical data of patients with pancreatic DLBCL admitted at Shanghai Rui Jin Hospital affiliated with Shanghai Jiao Tong University School of Medicine from April 2003 to June 2020 were analyzed. Gene mutation profiles were evaluated by targeted sequencing (55 lymphoma-related genes). Univariate and multivariate Cox regression models were used to evaluate the prognostic factors of overall survival (OS) and progression-free survival (PFS) . Results: Overall, 80 patients were included; 12 patients had primary pancreatic DLBCL (PPDLBCL), and 68 patients had secondary pancreatic DLBCL (SPDLBCL). Compared with those with PPDLBCL, patients with SPDLBCL had a higher number of affected extranodal sites (P<0.001) and had higher IPI scores (P=0.013). There was no significant difference in the OS (P=0.120) and PFS (P=0.067) between the two groups. Multivariate analysis indicated that IPI intermediate-high/high risk (P=0.025) and double expressor (DE) (P=0.017) were independent adverse prognostic factors of OS in patients with pancreatic DLBCL. IPI intermediate-high/high risk (P=0.021) was an independent adverse prognostic factor of PFS in patients with pancreatic DLBCL. Targeted sequencing of 29 patients showed that the mutation frequency of PIM1, SGK1, BTG2, FAS, MYC, and MYD88 in patients with pancreatic DLBCL were all >20%. PIM1 (P=0.006 for OS, P=0.032 for PFS) and MYD88 (P=0.001 for OS, P=0.017 for PFS) mutations were associated with poor OS and PFS in patients with SPDLBCL. Conclusion: There was no significant difference in the OS and PFS between patients with PPDLBCL and those with SPDLBCL. IPI intermediate-high/high risk and DE were adverse prognostic factors of pancreatic DLBCL. PIM1, SGK1, BTG2, FAS, MYC, and MYD88 were common mutations in pancreatic DLBCL. PIM1 and MYD88 mutations indicated worse prognosis.
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Affiliation(s)
- Y J Huo
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - M C Zhang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Q Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W Qin
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Z Y Shi
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - L Wang
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - S Cheng
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - P P Xu
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - W L Zhao
- State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Shanghai Rui Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Fu B, Yu Y, Cheng S, Huang H, Long T, Yang J, Gu M, Cai C, Chen X, Niu H, Hua W. Prognostic Value of Four Preimplantation Malnutrition Estimation Tools in Predicting Heart Failure Hospitalization of the Older Diabetic Patients with Right Ventricular Pacing. J Nutr Health Aging 2023; 27:1262-1270. [PMID: 38151878 DOI: 10.1007/s12603-023-2042-6] [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: 08/25/2023] [Accepted: 11/15/2023] [Indexed: 12/29/2023]
Abstract
OBJECTIVES The prognostic value of preimplantation nutritional status is not yet known for older diabetic patients that received right ventricular pacing (RVP). The study aimed to investigate the clinical value of the four malnutrition screening tools for the prediction of heart failure hospitalization (HFH) in older diabetic patients that received RVP. DESIGN Retrospective observational cohort study. SETTING AND PARTICIPANTS This study was conducted between January 2017 and January 2018 at the Fuwai Hospital, Beijing, China, and included older (age ≥ 65 years) diabetic patients that received RVP for the first time Measurements: The Prognostic Nutritional Index (PNI), Geriatric Nutritional Risk Index (GNRI), Naples Prognostic Score (NPS), and the Controlling Nutritional Status (CONUT) score were used to estimate the preimplantation nutritional status of the patients. Univariate and multivariate Cox proportional hazard regression analyses were performed to investigate the association between preimplantation malnutrition and HFH. RESULTS Overall, 231 older diabetic patients receiving RVP were included. The median follow-up period after RVP was 53 months. HFH was reported for 19.9% of the included patients. Our results showed preimplantation malnutrition for 18.2%, 15.2%, 86.6% and 66.2% of the included patients based on the PNI, GNRI, NPS, and CONUT score, respectively. The cumulative rate of HFH during follow-up period was significantly higher for patients in the preimplantation malnutrition group based on the PNI (log-rank = 13.0, P = 0.001), GNRI (log-rank = 8.5, P = 0.01), and NPS (log-rank = 15.7, P < 0.001) compared to the normal nutrition group, but was not statistically significant for those in the preimplantation malnutrition group based on the CONUT score (log-rank = 2.7, P = 0.3). As continuous variables, all the nutritional indices showed significant correlation with HFH (all P < 0.05). However, multivariate analysis showed that only GNRI was independently associated with HFH (HR = 0.97, 95% CI: 0.937-0.997, P = 0.032). As categorical variables, PNI, GNRI, and NPS showed significant correlation with HFH. After adjustment of confounding factors, moderate-to-severe degree of malnutrition was an independent predictor of HFH based on the PNI (HR = 4.66, 95% CI: 1.03-21.00, P = 0.045) and GNRI (HR = 3.02, 95% CI: 1.02-9.00, P = 0.047). CONCLUSION Preimplantation malnutrition was highly prevalent in older diabetic patients that received RVP. The malnutrition prediction tools, PNI and GNRI, showed significant prognostic value in accurately predicting HFH in older diabetic patients with RVP.
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Affiliation(s)
- B Fu
- Wei Hua, Cardiac Arrhythmia Center, National Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 Bei Li Shi Rd, Xicheng District, Beijing 100037, China,
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21
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Yu H, Zhang L, He X, Zhang T, Wang C, Lu J, He X, Chen K, Gu W, Cheng S, Hu Y, Yao B, Jian A, Yu X, Zheng H, You S, Wang Q, Lei D, Jiang L, Zhao Z, Wan J. OsPHS1 is required for both male and female gamete development in rice. Plant Sci 2022; 325:111480. [PMID: 36183810 DOI: 10.1016/j.plantsci.2022.111480] [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] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/13/2022] [Accepted: 09/26/2022] [Indexed: 06/16/2023]
Abstract
Meiosis plays an essential role in the production of male and female gametes. Extensive studies have elucidated that homologous chromosome association and pairing are essential for crossing-over and recombination of chromosomal segments. However, the molecular mechanism of chromosome recognition and pairing remains elusive. Here, we identified a rice male-female sterility mutant plant. Cytological observations showed that the development of both pollen and embryo sacs of the mutant were abnormal due to defects in homologous chromosome recognition and pairing during prophase I. Map-based cloning revealed that Os06g0473000 encoding a poor homologous synapsis 1 (PHS1) protein is the candidate target gene, which was confirmed by knockout using CRISPR/Cas9 technology. Sequence analysis revealed a single base mutation (G > A) involving the junction of the fourth exon and intron of OsPHS1, which is predicted to alter splicing, resulting in an Osphs1 mutant. Expression pattern analysis indicated that OsPHS1 expression levels were mainly expressed in panicles at the beginning of meiosis. Subcellular localization analysis demonstrated that the OsPHS1 protein is situated in the nucleus and cytoplasm. Taken together, our results suggest an important role for OsPHS1 in homologous chromosome pairing in both male and female gametogenesis in rice.
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Affiliation(s)
- Hao Yu
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Liping Zhang
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaojuan He
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Taohui Zhang
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Chaolong Wang
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Jiayu Lu
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaodong He
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Keyi Chen
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Weihang Gu
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Siqi Cheng
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Yang Hu
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Bowen Yao
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Anqi Jian
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaowen Yu
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Hai Zheng
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Shimin You
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Qiming Wang
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Dekun Lei
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Ling Jiang
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China
| | - Zhigang Zhao
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China.
| | - Jianmin Wan
- National Key Laboratory for Crop Genetics and Germplasm Enhancement, Jiangsu Plant Gene Engineering Research Center, Nanjing Agricultural University, Nanjing 210095, China; National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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22
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Cheng S, Freeman A. REFRACTORY CHRONIC SPONTANEOUS URTICARIA AFTER TREATED GRAVES' DISEASE. Ann Allergy Asthma Immunol 2022. [DOI: 10.1016/j.anai.2022.08.832] [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: 11/11/2022]
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Sheng YJ, Jiang QQ, Liu L, Cheng S, Li HR, Li SW, Huang SL, Li YD, Yuan JQ, Ping YF, Dong J. [Characteristics and regulatory mechanisms of lipid metabolism remodeling after malignant transformation of glioma-associated macrophages]. Zhonghua Yi Xue Za Zhi 2022; 102:3134-3142. [PMID: 36274598 DOI: 10.3760/cma.j.cn112137-20220127-00203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To observe the lipid metabolism characteristics of tumor-associated macrophages (TAM) after malignant transformation in the glioma micro-environment, and analyze the biological phenotype changes and regulatory mechanisms after inhibiting the lipid metabolism remodeling. Methods: Twelve male Balb/c mice of 6-8 weeks were used in the study. Macrophages (Mφ) were derived from mouse bone marrow, and malignantly transformed macrophages (tMφ1 and tMφ2) were cloned from the model of glioma stem cell (GSC) through interaction with Mφ in vivo and in vitro. Intracellular lipid droplet formation and cellular cholesterol content were measured respectively in Mφ, tMφ1 and tMφ2. qRT-PCR was performed to detect the genes expression level related with lipid metabolism, including sterol regulatory element binding protein (SREBP), fatty acid synthase (FASN), and 3-hydroxy-3-methylglutarate monoacyl coenzyme A reductase (HMG-CoA). Simvastatin (SIM) was used to analyze the proliferation, immigration and invasiveness ability in tMφ1 and tMφ2 after inhibition of the lipid metabolism. Differential expression profiles of miRNAs after SIM treatment were constructed in t-Mφ1 and bio-informatics analysis was screened and verified for miR449a and its target gene sorting micro-tubule connectin 17 (SNX17) associated with lipid metabolism remodeling. The effect on SNX17 by up-regulated miR-449a were analyzed by qRT-PCR and Western blot, meanwhile, the biological phenotype and cholesterol content were observed after up-regulation of miR449a. Low-density lipoprotein receptor (LDLR) protein levels after SNX17 knockdown and intracellular cholesterol content after LDLR knockdown were detected respectively. Results: The numbers of intracellular lipid droplet formation in tMφ1 and tMφ2 were more than that in Mφ (P<0.001). Likewise, the relative contents of cholesterol (3.89±0.68 and 3.56±0.53), SREBP (4.78±0.60 and 2.84±0.41), FASN (4.65±0.70 and 3.01±0.45), and HMG-CoA (5.74±0.55 and 2.97±0.34) were significantly higher in tMφ1 and tMφ2 than those of Mφ (1.01 wel, 1.02 wel and 0.99 wel, respectively) (all P<0.001). The proliferation rates of tMφ1 and tMφ2 decreased from (47.06±5.88) % and (45.29±5.64)% to (23.53±4.70)% and (18.74±5.76)%, respectively after treatment with SIM (both P<0.05). The numbers of migrated cells decreased from 1 025±138 and 350±47 to 205±63 and 99±25, respectively (both P<0.001). And the numbers of invasiveness cells decreased from 919±45 and 527±34 to 220±23 and 114±21, respectively (both P<0.001). While the relative intracellular cholesterol content decreased to 0.52±0.08 and 0.58±0.07 (both P<0.05), respectively. MiR-449a was screened from tMφ1 by SIM, and the target gene was analyzed and verified to be SNX17. SNX17 expression was down-regulated, and the proliferation rate, the number of migration and invasiveness was significantly decreased after miR-449a over-expression (all P<0.05). Low-density lipoprotein receptor (LDLR) expression was down-regulated after knock-down of SNX17, while the cholesterol content was decreased after knock-down of LDLR in tMφ1 and tMφ2 (all P<0.05). Conclusions: Malignantly transformed TAMs undergo lipid metabolism remodeling characterized with enhanced lipid metabolism. MiR-449a regulates the LDLR by targeting SNX17, thereby affecting the lipid metabolism of malignantly transformed macrophages, and subsequently inhibiting its proliferation, migration, and invasion ability. Precise intervention with miR-449a/SNX17/LDLR axis could provide an experimental basis for reversing its tumor-promoting micro-environment remodeled by GSC through metabolic intervention.
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Affiliation(s)
- Y J Sheng
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Q Q Jiang
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - L Liu
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - S Cheng
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - H R Li
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - S W Li
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - S L Huang
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Y D Li
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - J Q Yuan
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Y F Ping
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University, Chongqing 400038, China
| | - J Dong
- Department of Neurosurgery, the Second Affiliated Hospital of Soochow University, Suzhou 215004, China
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Cheng S, Chen W, Zhao M, Xing X, Zhao L, Ren B, Li N. Case report: A late-onset cobalamin C defect first presenting as a depression in a teenager. Front Genet 2022; 13:1012558. [PMID: 36338977 PMCID: PMC9631435 DOI: 10.3389/fgene.2022.1012558] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/06/2022] [Indexed: 11/18/2022] Open
Abstract
Background: The cobalamin C (cblC) defect, a common inborn disorder of cobalamin metabolism due to a genetic mutation in MMACHC, can cause combined methylmalonic acid and homocysteine accumulation in blood, urine, or both. In this article, a late-onset case was reported, and the patient first presented with depression identified with the MMACHC gene. We summarized the clinical features of the cblC defect, the relationship between genotype and phenotype, and the clinical experience concerning the diagnosis and treatment of the cblC defect. Case presentation: Initially presented with depression, the 16-year-old female patient showed progressive abnormal gait and bilateral lower limb weakness after 3 months. Blood routine examination suggested severe hyperhomocysteinemia, and screening for urine organic acids found elevated methylmalonic acid. Family gene sequencing showed mutations detected in MMACHC. She had a compound heterozygous mutation, while the c.271dupA (p.R91Kfs∗14) was only detected in her father and the c.482 G>A (p.R161Q) was only detected in her mother. Hence, she was diagnosed with a cblC defect and treated with B vitamin supplements. The muscle strength of both lower limbs improved notably. Conclusion: This case indicated that depression could be a presenting sign of cblC-type methylmalonic aciduria and homocysteinemia, and enhanced the genotype–phenotype relationship of the cblC defect, which will contribute to further understanding of this emerging disease.
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Affiliation(s)
- Siqi Cheng
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Weihong Chen
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Mingmin Zhao
- Graduate School, Hebei North University, Chengde, China
| | - Xing Xing
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Lei Zhao
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Bowen Ren
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
| | - Na Li
- Department of Neurology, Hebei General Hospital, Shijiazhuang, China
- *Correspondence: Na Li,
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Zhang X, Chen H, Cheng S, Guo F, Jie W, Hao J. Tunable Resistive Switching in 2D MXene Ti 3C 2 Nanosheets for Non-Volatile Memory and Neuromorphic Computing. ACS Appl Mater Interfaces 2022; 14:44614-44621. [PMID: 36136123 DOI: 10.1021/acsami.2c14006] [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] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
An artificial synapse is essential for neuromorphic computing which has been expected to overcome the bottleneck of the traditional von-Neumann system. Memristors can work as an artificial synapse owing to their tunable non-volatile resistance states which offer the capabilities of information storage, processing, and computing. In this work, memristors based on two-dimensional (2D) MXene Ti3C2 nanosheets sandwiched by Pt electrodes are investigated in terms of resistive switching (RS) characteristics, synaptic functions, and neuromorphic computing. Digital and analog RS behaviors are found to coexist depending on the magnitude of operation voltage. Digital RS behaviors with two resistance states possessing a large switching ratio exceeding 103 can be achieved under a high operation voltage. Analog RS behaviors with a series of resistance states exhibiting a gradual change can be observed at a relatively low operation voltage. Furthermore, artificial synapses can be implemented based on the memristors with the basic synaptic functions, such as long-term plasticity of long-term potentiation and depression and short-term plasticity of the paired-pulse facilitation and depression. Moreover, the "learning-forgetting" experience is successfully emulated based on the artificial synapses. Also, more importantly, the artificial synapses can construct an artificial neural network to implement image recognition. The coexistence of digital and analog RS behaviors in the 2D Ti3C2 nanosheets suggests the potential applications in non-volatile memory and neuromorphic computing, which is expected to facilitate simplifying the manufacturing complexity for complex neutral systems where analog and digital switching is essential for information storage and processing.
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Affiliation(s)
- Xuelian Zhang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Haohan Chen
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Siqi Cheng
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Feng Guo
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China
| | - Wenjing Jie
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Jianhua Hao
- Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China
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Le T, Cheng S, Wallenburg J, Stephenson A. 37 Trends in Canadian cystic fibrosis health care use amidst the COVID-19 pandemic. J Cyst Fibros 2022. [PMCID: PMC9527878 DOI: 10.1016/s1569-1993(22)00728-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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27
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Lai X, Yang X, Rao S, Zhu Z, Cong X, Ye J, Zhang W, Liao Y, Cheng S, Xu F. Advances in physiological mechanisms of selenium to improve heavy metal stress tolerance in plants. Plant Biol (Stuttg) 2022; 24:913-919. [PMID: 35583793 DOI: 10.1111/plb.13435] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 08/02/2021] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
Selenium (Se) is a metalloid mineral nutrient for human and animal health. Plants are the main foodstuff source of the Se intake of humans. For plants, the addition of an appropriate amount of Se could promotes growth and development, and improves the tolerance to environmental stress, especially stress from some of heavy metals (HM) stress, such as cadmium (Cd) and mercury (Hg). This paper mainly reviews and summarizes the physiological mechanism of Se in enhancing HM stress tolerance in plants. The antagonistic effect of Se on HM is a comprehensive effect that includes many physiological mechanisms. Se can promote the removal of excessive reactive oxygen species and reduce the oxidative damage of plant cells under HM elements stress. Se participates in the regulation of the transportation and distribution of HM ions in plants, and alleviates the damage caused by of HM stress. Moreover, Se combine with HM elements to form Se-HM complexes and promote the production of phytochelatins (PCs), thereby reducing the accumulation of HM ions in plants. Overall, Se plays an important role in plant response to HM stress, but current studies mainly focus on physiological mechanism, and further in-depth study on the molecular mechanism is essential to confirm the participation of Se in plant response to environmental stress. This review helps to comprehensively understand the physiological mechanism of Se in plant tolerance against to HM stress of plants, and provides important theoretical support for the practical application of Se in environmental remediation and agricultural development.
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Affiliation(s)
- X Lai
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - X Yang
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - S Rao
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
| | - Z Zhu
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
| | - X Cong
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
- Enshi Se-Run Health Tech Development Co., Ltd, Enshi, China
| | - J Ye
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - W Zhang
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - Y Liao
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
| | - S Cheng
- School of Modern Industry for Selenium Science and Engineering, National R&D Center for Se-rich Agricultural Products Processing Technology, Wuhan Polytechnic University, Wuhan, China
| | - F Xu
- College of Horticulture and Gardening, Yangtze University, Jingzhou, China
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Liang X, Hou TP, Zhang D, Luo WD, Cheng S, Zheng YH, Wu KM. New evaluation of the thermodynamics stability for bcc-Fe. J Phys Condens Matter 2022; 34:455801. [PMID: 36007519 DOI: 10.1088/1361-648x/ac8cc6] [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] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/25/2022] [Indexed: 06/15/2023]
Abstract
The thermodynamic properties for bcc-Fe were predicted by combination of the first-principles calculations, the quasiharmonic approximation, the CALPHAD method and the Weiss molecular field theory. The hybrid method considers the effects of the lattice vibration, electron, intrinsic magnetism and external magnetic fields on the thermodynamic properties at finite temperature. Combined with experimental data, the calculated heat capacity without external magnetic fields was used to verify the validity of the hybrid method. Close to the Fermi level the high electronic density of states leads to a significant electronic contribution to free energy. Near the Curie temperature lattice vibrations dominant the Gibbs free energy. The order of the other three excitation contributions to Gibbs free energy from high to low is: intrinsic magnetism > electron > external magnetic fields. The investigation suggests that all the excitation contributions to Gibbs free energy are not negligible which provides a correct direction for tuning the thermodynamic properties for Fe-based alloy.
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Affiliation(s)
- X Liang
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - T P Hou
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - D Zhang
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - W D Luo
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - S Cheng
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - Y H Zheng
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
| | - K M Wu
- The State Key Laboratory for Refractories and Metallurgy, International Research Institute for Steel Technology, Collaborative Innovation Center for Advanced Steels, Wuhan University of Science and Technology, Wuhan 430081, People's Republic of China
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Hoxha T, Pienkowski M, Khan K, Moore A, Balaratnam K, Chowdhury M, Walia P, Sabouhanian A, Herman J, Strom E, Hueniken K, Corke L, Leighl N, Shepherd F, Bradbury P, Sacher A, Cheng S, Brown M, Mai V, Garcia M, Zhan L, Xu W, Liu G. EP02.04-009 Real World Survival Outcome Analysis of Adjuvant Therapies in Non-EGFR, Non-ALK Early Stage Resected NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.394] [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: 10/14/2022]
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30
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Lee J, Mai V, Garcia M, Cheng S, Khan K, Balaratnam K, Thakral A, Brown M, Zhan L, Corke L, Leighl N, Shepherd F, Bradbury P, Sacher A, Liu G. EP08.02-082 Treatment Patterns and Outcomes of First-line Osimertinib-treated Advanced EGFR Mutated NSCLC Patients: A Real-world Study. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.764] [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: 11/25/2022]
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31
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Schmid S, Zhan L, Garcia M, Cheng S, Khan K, Chowdhury M, Sabouhanian A, Herman J, Walia P, Strom E, Brown M, Patel D, Xu W, Shepherd F, Sacher A, Leighl N, Bradbury P, Shultz D, Liu G. 1144P Clinical outcomes of NSCLC patients (pts) who had brain-only metastasis at time of stage IV diagnosis, by presence versus absence of EGFR/ALK mutations. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1268] [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: 11/01/2022] Open
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32
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Moore S, Zhan L, Liu G, Rittberg R, Patel D, Chowdhury D, Leung B, Cheng S, Mckinnon M, Khan K, Agulnik J, Cheung W, Dawe D, Fung A, Snow S, Cohen V, Yan M, Lok B, Wheatley-Price P, Ho C. EP14.05-020 Population-based Outcomes for Patients with Extensive-Stage Small-cell Lung Cancer from the Canadian SCLC Database (CASCADE). J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.995] [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: 10/14/2022]
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33
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Moore S, Zhan L, Liu G, Rittberg R, Patel D, Chowdhury D, Leung B, Cheng S, Mckinnon M, Khan K, Snow S, Fung A, Dawe D, Cheung W, Agulnik J, Yan M, Cohen V, Wheatley-Price P, Ho C, Lok B. EP14.04-001 Treatment and Outcomes of Patients with Limited-Stage Small-cell Lung Cancer in the Canadian SCLC Database (CASCADE). J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.974] [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: 10/14/2022]
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Labidi S, N. Meti, R. Barua, Riromar J, Hansen A, Jiang D, Fallah-Rad N, Sridhar S, Ferrario C, Pezo R, Cheng S, Sacher A, Rose A. 1754P Association between body mass index (BMI) and anti-PD1/L1 immune checkpoint inhibitor (ICI) outcomes in patients with metastatic urothelial carcinoma (mUC). Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1832] [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: 11/30/2022] Open
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35
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Moore S, Zhan L, Liu G, Rittberg R, Patel D, Chowdhury D, Leung B, Cheng S, Mckinnon M, Khan K, Agulnik J, Fung A, Cheung W, Snow S, Dawe D, Cohen V, Yan M, Ho C, Lok B, Wheatley-Price P. EP03.01-016 The Canadian Small Cell Lung Cancer Database (CASCADE): Results from a Multi-Institutional Real-World Evidence Collaboration. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.411] [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: 10/14/2022]
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36
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Yang Y, Wang Z, Wu B, Cheng S, Fan H. [Role of type 2 innate lymphoid cells in helminth infections: a review]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2022; 35:184-190. [PMID: 37253569 DOI: 10.16250/j.32.1374.2022041] [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] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Helminth infections may trigger host innate and adaptive immune responses. Group 2 innate lymphoid cells (ILC2) are an important factor involved in type 2 immune responses, and produce a large number of T helper 2 cell (Th2) cytokines following stimulation by interleukin (IL)-25, IL-33 and thymic stromal lymphopoietin (TSLP), which play a critical role in parasite clearance and tissue repair. Following helminth infections, autocrine factors, mast cells, enteric nervous system and Th2 cells have been recently found to be involved in regulation of ILC2. Unraveling the role of ILC2 in immune response against helminth infections is of great value for basic research and drug development. This review summarizes the research progress on ILC2 and its role in helminth infections.
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Affiliation(s)
- Y Yang
- Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, China
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - Z Wang
- Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, China
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - B Wu
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - S Cheng
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
| | - H Fan
- Department of Hepatopancreatobiliary Surgery, The Affiliated Hospital of Qinghai University, Xining, Qinghai 810001, China
- Qinghai Provincial Key Laboratory for Echinococcosis Research, Xining, Qinghai 810001, China
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Abstract
The memristor is an excellent candidate for nonvolatile memory and neuromorphic computing. Recently, two-dimensional (2D) materials have been developed for use in memristors with high-performance resistive switching characteristics, such as high on/off ratios, low SET/RESET voltages, good retention and endurance, fast switching speed, and low power and energy consumption. Low-power memristors are highly desired for recent fast-speed and energy-efficient artificial neuromorphic networks. This Perspective focuses on the recent progress of low-power memristors based on 2D materials, providing a condensed overview of relevant developments in memristive performance, physical mechanism, material modification, and device assembly as well as potential applications. The detailed research status of memristors has been reviewed based on different 2D materials from insulating hexagonal boron nitride, semiconducting transition metal dichalcogenides, to some newly developed 2D materials. Furthermore, a brief summary introducing the perspectives and challenges is included, with the aim of providing an insightful guide for this research field.
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Affiliation(s)
- Huan Duan
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Siqi Cheng
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Ling Qin
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Xuelian Zhang
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Bingyang Xie
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
| | - Yang Zhang
- Institute of Modern Optics & Tianjin Key Laboratory of Micro-Scale Optical Information Science and Technology, Nankai University, Tianjin 300071, China
| | - Wenjing Jie
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, China
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Trasolini A, Erker C, Cheng S, Crowell C, McFadden K, Moineddin R, Sargent MA, Mata-Mbemba D. MR Imaging of Pediatric Low-Grade Gliomas: Pretherapeutic Differentiation of BRAF V600E Mutation, BRAF Fusion, and Wild-Type Tumors in Patients without Neurofibromatosis-1. AJNR Am J Neuroradiol 2022; 43:1196-1201. [PMID: 35863783 PMCID: PMC9575425 DOI: 10.3174/ajnr.a7574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 05/24/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE The prognosis and treatment of pediatric low-grade gliomas is influenced by their molecular subtype. MR imaging remains the mainstay for initial work-up and surgical planning. We aimed to determine the relationship between imaging patterns and molecular subtypes of pediatric low-grade gliomas. MATERIALS AND METHODS This was a retrospective bi-institutional study for patients diagnosed from 2004 to 2021 with pathologically confirmed pediatric low-grade gliomas molecularly defined as BRAF fusion, BRAF V600E mutant, or wild-type (which is neither BRAF V600E mutant nor BRAF fusion). Two neuroradiologists, blinded, independently reviewed imaging parameters from diagnostic MRIs, and discrepancies were resolved by consensus. Bivariate analysis was used followed by pair-wise comparison of the Dwass-Steel-Critchlow-Fligner method to compare the 3 molecular subtypes. Interreader agreement was assessed using κ. RESULTS We included 70 patients: 30 BRAF fusion, 19 BRAF V600E mutant, and 21 wild-type. There was substantial agreement between the readers for overall imaging variables (κ = 0.75). BRAF fusion tumors compared with BRAF V600E and wild-type tumors were larger (P = .0022), and had a greater mass effect (P = .0053), increased frequency of hydrocephalus (P = .0002), and diffuse enhancement (p <.0001). BRAF V600E mutant tumors were more often hemispheric (P < .0001), appeared more infiltrative (P = .0002), and, though infrequent, were the only group demonstrating diffusion restriction (qualitatively; P = .0042) with a lower ADC ratio (quantitatively) (P = .003). CONCLUSIONS BRAF fusion and BRAF V600E mutant pediatric low-grade gliomas have unique imaging features that can be used to differentiate them from each other and wild-type pediatric low-grade glioma using a standard radiology review with high interreader agreement. In the era of targeted therapy, these features can be useful for therapeutic planning before surgery.
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Affiliation(s)
- A Trasolini
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Dalhousie University Medical School (A.T.), Halifax, Nova Scotia, Canada
| | - C Erker
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Departments of Pediatrics (C.E.)
| | - S Cheng
- Division of Hematology, Oncology, and Bone Marrow Transplant (S.C.), Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - C Crowell
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Faculty of Science (C.C.), Dalhousie University, Halifax, Nova Scotia, Canada
| | - K McFadden
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Pathology (K.M.)
| | - R Moineddin
- University of Toronto Dalla Lana School of Public Health (R.M.), Toronto, Ontario, Canada
| | - M A Sargent
- Department of Radiology (M.A.S.), British Columbia Children's Hospital and University of British Columbia, Vancouver, British Columbia, Canada
| | - D Mata-Mbemba
- From the IWK Health Centre (A.T., C.E., C.C., K.M., D.M.-M.), Halifax, Nova Scotia, Canada
- Diagnostic Radiology (D.M.-M.)
- Department of Diagnostic Imaging (D.M.-M.), IWK Health Centre, Halifax, Nova Scotia, Canada
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Cai S, Miao K, Tan XY, Cheng S, Li DT, Zeng XY, Yang Y, Meng RR, Liu ZK, Li Y, Li KL, Sun F, Zhan SY. [Clinical research progress and implications of therapeutic vaccines for cervical cancer and precancerous lesions: a qualitative systematic review]. Zhonghua Zhong Liu Za Zhi 2022; 44:743-760. [PMID: 35880341 DOI: 10.3760/cma.j.cn112152-20210824-00638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To systematically summarize and analyze the clinical research progress of therapeutic vaccines for cervical cancer or precancerous lesions. Methods: English databases (PubMed, Embase, Web of Science, Cochrane library, Proquest, and ClinicalTrails.gov) and Chinese databases (SinoMed, CNKI, WanFang, and VIP Database) were systematically searched to collect literature on therapeutic vaccines for cervical cancer or precancerous lesions from inception to February 18, 2021. After screening, we evaluated the risk of bias of included studies, and combed the basic information of the literature, research designs, information of vaccines, study patients, outcome indicators and so on, qualitatively summarized the clinical research progress. Results: A total of 71 studies were included in this systematic review, including 14 random controlled trials, 15 quasi-random controlled trials, 4 cohort studies, 1 case-control study, 34 case series studies and 3 case reports. The study patients included women aged 15~79 with cervical cancer or precancerous lesions in 18 countries from 1989 to 2021. On the one hand, there were 40 studies on therapeutic vaccines for cervical precancerous lesions (22 867 participants), involving 21 kinds of vaccines in 6 categories. Results showed 3 marketed vaccines (Cervarix, Gardasil, Gardasil 9) as adjuvant immunotherapies were significant effective in preventing the recurrence of precancerous lesions compared with the conization only. In addition, MVA E2 vaccine had been in phase Ⅲ clinical trials as a specific therapeutic vaccine, with relative literature showing it could eliminate most high-grade precancerous lesions. Therapeutic vaccines for precancerous lesions all showed good safety. On the other hand, there were 31 studies on therapeutic vaccines for cervical cancer (781 participants), involving 19 kinds of vaccines in 7categories, with none had been marketed. 25 studies were with no control group, showing the vaccines could effectively eliminate solid tumors, prevent recurrence, and prolong the median survival time. However, the vaccines effectiveness couldn't be statistically calculated due to the lack of a control group. As for the safety of therapeutic vaccines for cervical cancer, 9 studies showed that patients experienced serious adverse events after treatments, where 7 studies reported that serious adverse events occurred in patients couldn't be ruled out as the results of therapeutic vaccines. Conclusions: The literature review shows that the literature evidence for the therapeutic vaccines for cervical precancerous lesions is relatively mature compared with the therapeutic vaccines for cervical cancer. The four kinds of vaccines on the market are all therapeutic vaccines for precancerous lesions, but they are generally used as vaginal infection treatments or adjuvant immunotherapies for cervical precancerous lesions, not used for the specific treatments of cervical precancerous lesions. Other specific therapeutic vaccines are in the early stage of clinical trials, mainly phase Ⅰ/Ⅱ clinical trials with small sample size. The effectiveness and safety data are limited, and further research is still needed.
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Affiliation(s)
- S Cai
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
| | - K Miao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - X Y Tan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Cheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - D T Li
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - X Y Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Yang
- National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - R R Meng
- National Institute of Health Data Science, Peking University, Beijing 100191, China
| | - Z K Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Y Li
- National Center for Disease Control and Prevention, Beijing 100050, China
| | - K L Li
- National Center for Disease Control and Prevention, Beijing 100050, China
| | - F Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - S Y Zhan
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China
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40
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Goh SN, Fan G, Cheng S, Khaing N. COVID 19 pandemic: Impact of changes experienced on social workers' professional quality of life in Singapore. Soc Work Health Care 2022; 61:298-322. [PMID: 35819057 DOI: 10.1080/00981389.2022.2092582] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 04/19/2022] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
COVID-19 has impacted all spheres of life massively. Among the emerging studies on the psychosocial impact of the pandemic, few studies look specifically at how social workers are impacted. To understand this gap, this study surveyed 337 social workers. The findings showed that changes experienced in the workplace were enormous and caused secondary traumatic stress while engendering compassion satisfaction among social workers, but the presence of social support moderated to keep the secondary traumatic stress at bay. Resilience mediated association between social and workplace support and compassion fatigue. Social support seemed to have the largest effect on reducing stress through resilience. Workplace support also helped mitigate burnout. In conclusion, continued social and workplace support will be key to supporting social workers during a pandemic.
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Affiliation(s)
- S N Goh
- Medical Social Services, Changi General Hospital, Singapore, Singapore
| | - G Fan
- Psychosocial Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - S Cheng
- Medical Social Services, Sengkang General Hospital, Singapore, Singapore
| | - Nee Khaing
- Health Services Research, Changi General Hospital, Singapore, Singapore
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Le S, Zhang Y, Voutilainen A, Tan X, Laukkanen J, Wang C, Cheng S. Differences in cardiometabolic risk profiles between Chinese and Finnish older adults with glucose impairment and central obesity. J Endocrinol Invest 2022; 45:1427-1437. [PMID: 35325446 PMCID: PMC9184414 DOI: 10.1007/s40618-022-01777-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 02/23/2022] [Indexed: 12/06/2022]
Abstract
BACKGROUND Obesity and ethnicity play important roles in cardiovascular complications in patients with type 2 diabetes mellitus (T2DM). This study aimed to compare cardiometabolic risk profiles between Chinese and Finnish older adults of central obesity with prediabetes or T2DM. METHODS Study subjects were 60-74 years old and originated from two population samples. The Finnish subjects came from the Kuopio Ischemic Heart Disease (KIHD) study (n = 1089), and the Chinese subjects came from the Shanghai High-risk Diabetic Screen (SHiDS) study (n = 818). The KIHD and SHiDS studies used similar questionnaires to determine participants' baseline characteristics regarding the history of medication use and diseases and lifestyle factors. All study subjects participated in glucose tolerance tests and anthropometry assessments, including waist circumference measurements. RESULTS Among study subjects of central obesity with prediabetes (n = 298), fasting and 2-h glucose, and fasting insulin and insulin resistance were significantly higher in Chinese than in Finnish (p < 0.0001-0.016). In addition, triglyceride (TG) level was higher and the low-density lipoprotein cholesterol (LDL) and LDL to high-density lipoprotein cholesterol (HDL) ratio were lower in Chinese than in Finnish (p < 0.0001-0.003). Among subjects of central obesity with T2DM (n = 251), Chinese subjects had significantly less proportions of antihypertensive, glycaemic control medication, and statin users as well as lower level of physical activity (p < 0.0001 for all), while higher blood pressure (p = 0.002 for systolic blood pressure and p < 0.0001 for diastolic blood pressure), TG levels (p < 0.05) and HDL (p = 0.002) than the Finnish counterparts. There were no differences in β-cell function (HOMA-β) between Chinese and Finnish both in prediabetes and T2DM. CONCLUSIONS Our results indicated that Chinese and Finnish older adults of central obesity with prediabetes and T2DM had similar β-cell function. However, Chinese individuals with prediabetes are prone to insulin resistance. Meanwhile, lipid metabolism dysfunction is also different between Chinese and Finnish. Chinese older adults of central obesity with prediabetes showed higher TG, but Finnish showed higher LDL and LDL/HDL. Strategic for T2DM prevention and treatment should be ethnically specific.
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Affiliation(s)
- S Le
- Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 200240, Shanghai, China
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China
- Department of Physical Therapy, Taihe Hospital, Hubei University of Medicine, Shiyan, 442099, China
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014, Jyväskylä, Finland
| | - Y Zhang
- Shanghai Jiao Tong University Affiliated Sixth People's Hospital, The Metabolic Disease Biobank, Shanghai, 200233, China
| | - A Voutilainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211, Kuopio, Finland
| | - X Tan
- Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 200240, Shanghai, China
- Department of Neuroscience, Uppsala University, BMC, Box 593, 75124, Uppsala, Sweden
| | - J Laukkanen
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014, Jyväskylä, Finland.
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211, Kuopio, Finland.
- Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, 70211, Kuopio, Finland.
| | - C Wang
- Department of Endocrinology and Metabolism, School of Medicine, Shanghai Fourth People's Hospital Affiliated to Tongji University, Tongji University, 1279 Sanmen Road, Shanghai, 200434, China.
| | - S Cheng
- Exercise Translational Medicine Center, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, 200240, Shanghai, China.
- Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China.
- Faculty of Sport and Health Sciences, University of Jyväskylä, 40014, Jyväskylä, Finland.
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Tang B, Lee JB, Cheng S, Pan T, Yao W, Wang D, Tu M, Xiang Z, Chu X, Geng L, Qiang P, Teng P, Sun G, Liu H, Wang J, Schimmer AD, Yang L, Sun Z, Zhang L, Zhu X. Allogeneic double-negative T cell therapy for relapsed acute myeloid leukemia patients post allogeneic hematopoietic stem cell transplantation: A first-in-human phase I study. Am J Hematol 2022; 97:E264-E267. [PMID: 35385187 DOI: 10.1002/ajh.26564] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/31/2022] [Accepted: 04/01/2022] [Indexed: 11/10/2022]
Affiliation(s)
- Baolin Tang
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Blood and Cell Therapy Institute, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Anhui Provincial Key Laboratory of Blood Research and Applications Hefei China
| | - Jong Bok Lee
- Transplantation Department, Toronto General Hospital Research Institute University Health Network Toronto Ontario Canada
- Department of Laboratory Medicine and Pathobiology University of Toronto Toronto Ontario Canada
- Department of Immunology University of Toronto Toronto Ontario Canada
| | - Siqi Cheng
- Department of Hematology Huaibei People's Hospital Huaibei China
| | - Tianzhong Pan
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Blood and Cell Therapy Institute, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Anhui Provincial Key Laboratory of Blood Research and Applications Hefei China
| | - Wen Yao
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
| | - Dongyao Wang
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
| | - Meijuan Tu
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
| | - Zhiqiang Xiang
- R&D Center WYZE Biotech Co., Ltd Hangzhou China
- Cell Manufacturing Department Ruichuang Biotechnology Co., Ltd Shaoxing China
| | - Xiandeng Chu
- Department of Hematology Lu'an Hospital Affiliated to Anhui Medical University Lu'an China
| | - Liangquan Geng
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
| | - Ping Qiang
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
| | - Pingping Teng
- R&D Center WYZE Biotech Co., Ltd Hangzhou China
- Cell Manufacturing Department Ruichuang Biotechnology Co., Ltd Shaoxing China
| | - Guangyu Sun
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
| | - Huilan Liu
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Blood and Cell Therapy Institute, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Anhui Provincial Key Laboratory of Blood Research and Applications Hefei China
| | - Jian Wang
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
| | - Aaron D. Schimmer
- Princess Margaret Cancer Centre University Health Network Toronto Ontario Canada
| | - Liming Yang
- R&D Center WYZE Biotech Co., Ltd Hangzhou China
- Cell Manufacturing Department Ruichuang Biotechnology Co., Ltd Shaoxing China
| | - Zimin Sun
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Blood and Cell Therapy Institute, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Anhui Provincial Key Laboratory of Blood Research and Applications Hefei China
| | - Li Zhang
- Transplantation Department, Toronto General Hospital Research Institute University Health Network Toronto Ontario Canada
- Department of Laboratory Medicine and Pathobiology University of Toronto Toronto Ontario Canada
- Department of Immunology University of Toronto Toronto Ontario Canada
| | - Xiaoyu Zhu
- Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Blood and Cell Therapy Institute, Division of Life Sciences and Medicine University of Science and Technology of China Hefei China
- Anhui Provincial Key Laboratory of Blood Research and Applications Hefei China
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Gladman DD, Coates L, Gossec L, Aelion J, Vasandani J, Cheng S, Tang L, Jardon S, Richter S, Mease PJ. POS1080 CHARACTERIZATION OF JOINT DISTRIBUTION AND DISEASE BURDEN IN PATIENTS WITH EARLY OLIGOARTICULAR PSORIATIC ARTHRITIS: RESULTS FROM THE ONGOING FOREMOST STUDY. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundOligoarticular psoriatic arthritis (PsA) is commonly reported in early disease. Although fewer joints are involved, there may be significant impact on patients’ (pts) quality of life. The ongoing FOREMOST study (NCT03747939) is investigating the efficacy of apremilast vs placebo for treatment of early oligoarticular PsA (>1 but ≤4 tender and swollen joints involved).ObjectivesTo characterize disease burden in pts with early oligoarticular PsA and disease phenotype including location and size of involved joints and presence of certain baseline clinical PsA manifestations in FOREMOST pts.MethodsBaseline swollen and tender joint distribution was analyzed. Baseline disease burden was assessed in the overall group and a subgroup with small joint involvement only (for context) using clinical disease activity measures, pt-reported outcomes, and additional PsA manifestations.ResultsAt data cut-off for analysis, 220 pts of 285 planned were enrolled. In the overall group, disease duration was <1 year and joint distribution for swollen or tender joints involved predominantly small joints, with ~48% of joint involvement observed in finger proximal interphalangeal (PIP) joints and <2% in temporomandibular and clavicular joints across swollen or tender joints (Figure 1). Mean Physician’s and Patient Global Assessment of Disease Activity (PhGA and PtGA, respectively) scores were 43.9 and 51.3; mean pt pain assessment score was 50.7. Mean Health Assessment Questionnaire Disability Index (HAQ-DI) functional assessment score was 1.0; 25.5% of pts had HAQ-DI ≤0.5. Pts reported an average PsA Impact of Disease (PsAID-12) domain score of 4.7. Additional manifestations of PsA at baseline included dactylitis (14.5%), enthesitis (32.7%), nail involvement (67.3%), and skin disease (47.7% with body surface area [BSA] ≥3%). Within the overall group, 59% had >1 joint size involved (small [metacarpophalangeal, metatarsophalangeal, distal interphalangeal, PIP, hand carpometacarpal and mid-tarsal]; intermediate [wrist, elbow, ankle, temporomandibular, acromioclavicular, sternoclavicular]; large [shoulder, hip, knee]). Of those with only 1 joint size involved (41% of pts), the majority had small joint involvement predominantly in PIPs (n=84 for small joints; n=1 for intermediate joints; n=5 for large joints). The overall pattern of clinical and disease presentation indicated elevated burden for pts with early oligoarticular PsA, including those pts with only small joints involved (Table 1).Table 1.CharacteristicsOverall Population (PBO + APR), N=220Small Joints Only (PBO + APR), N=84Age, mean, y49.651.3Men, n (%)98 (44.5)40 (47.6)Europe/Russia, n (%)47 (21.4)/66 (30.0)22 (26.2)/11 (13.1)Canada/United States, n (%)8 (3.6)/99 (45.0)1 (1.2)/50 (59.5)Body mass index, mean, kg/m230.429.3Duration of disease, mean, y0.690.71Previous cDMARD use, n (%)143 (65.0)48 (57.0)Tender joint count (0–68), mean3.23.1Swollen joint count (0–66), mean2.62.8PhGA (VAS 0–100)a, mean43.939.0PtGA (VAS 0–100)a, mean51.345.6Patient’s Assessment of Pain (VAS 0–100)a, mean50.746.3Dactylitis present, n (%)32 (14.5)14 (16.7)Enthesitis present, n (%)72 (32.7)21 (25.0)BSA ≥3%, n (%)105 (47.7)34 (40.5)Nail involvement present, n (%)148 (67.3)53 (63.1)HAQ-DI (0–3)a, mean1.020.84HAQ-DI ≤0.5, n (%)56 (25.5)31 (36.9)PsAID-12 (0–10)a, mean4.733.98cDMARD, conventional disease-modifying antirheumatic drugs; VAS, visual analog scale.aHigher scores indicate greater burden/worse status. Early oligoarticular = ≤2 years in the initial protocol; ≤5 years in the current protocol for inclusion.Figure 1.FOREMOST population: baseline demographics and disease burden in the overall population and pts with involvement in small joints onlyConclusionIn FOREMOST, despite few joints involved, pts with early oligoarticular PsA experienced high disease burden and impaired quality of life. Small joint involvement, although less commonly expected in oligoarticular PsA, was the most frequently observed pattern.AcknowledgementsThe authors thank the patients, their families, and all investigators involved in this study. This study was funded by Amgen Inc. Writing support was funded by Amgen Inc. and provided by Kristin Carlin, BSPharm, MBA, of Peloton Advantage, LLC, an OPEN Health company, and Cathryn M. Carter, MS, employee of and stockholder in Amgen Inc.Disclosure of InterestsDafna D Gladman Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, and UCB – grant/research support or consulting fees, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, and UCB – grant/research support or consulting fees, Laura Coates Speakers bureau: AbbVie, Amgen, Biogen, Bristol Myers Squibb, Celgene Corporation, Eli Lilly, Galapagos, Gilead, GSK, Janssen, Medac, Moonlake, Novartis, Pfizer, and UCB –grant/research support, consulting fees, and/or speaker/honoraria, Consultant of: AbbVie, Amgen, Biogen, Bristol Myers Squibb, Celgene Corporation, Eli Lilly, Galapagos, Gilead, GSK, Janssen, Medac, Moonlake, Novartis, Pfizer, and UCB –grant/research support, consulting fees, and/or speaker/honoraria, Grant/research support from: AbbVie, Amgen, Biogen, Bristol Myers Squibb, Celgene Corporation, Eli Lilly, Galapagos, Gilead, GSK, Janssen, Medac, Moonlake, Novartis, Pfizer, and UCB –grant/research support, consulting fees, and/or speaker/honoraria, Laure Gossec Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Celgene Corporation, Galapagos, Gilead, GSK, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis, and UCB, Grant/research support from: Amgen, Galapagos, Lilly, Pfizer, and Sandoz, Jacob Aelion Grant/research support from: AbbVie, Celgene, Eli Lilly and Regeneron – speakers bureau. AbbVie, Ardea Biosciences, AstraZeneca, Bristol Myers Squibb, Celgene, Centocor, Eli Lilly, Galapagos, Genentech, GlaxoSmithKline, Human Genome Sciences, Janssen, Merck, Mesoblast, Novartis, Novo Nordisk, Pfizer, Roche, Sanofi-Aventis, Takeda, UCB, and Vertex, Jitendra Vasandani: None declared, Sue Cheng Shareholder of: Stock ownership in Amgen Inc., Employee of: Employment by Amgen Inc., Lihua Tang Shareholder of: Stock ownership in Amgen Inc., Employee of: Employment by Amgen Inc., Shauna Jardon Shareholder of: Stock ownership in Amgen Inc., Employee of: Employment by Amgen Inc., Sven Richter Shareholder of: Stock ownership in Amgen at time of study, Employee of: Employment by Amgen at time of study., Philip J Mease Speakers bureau: AbbVie, Amgen, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun, and UCB – grant/research support and consultant; Boehringer Ingelheim and GlaxoSmithKline – consultant, Grant/research support from: AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sun, and UCB
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Cheng S, Li F, Mei X. Structure, mechanical and physical properties of hordein/chitosan composite films. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113596] [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: 11/29/2022]
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He Y, Wei M, Yan Y, Yu C, Cheng S, Sun Y, Zhu X, Wei L, Wang H, Miao L. Research Advances in Genetic Mechanisms of Major Cucumber Diseases Resistance. Front Plant Sci 2022; 13:862486. [PMID: 35665153 PMCID: PMC9161162 DOI: 10.3389/fpls.2022.862486] [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] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 02/22/2022] [Indexed: 06/15/2023]
Abstract
Cucumber (Cucumis sativus L.) is an important economic vegetable crop worldwide that is susceptible to various common pathogens, including powdery mildew (PM), downy mildew (DM), and Fusarium wilt (FM). In cucumber breeding programs, identifying disease resistance and related molecular markers is generally a top priority. PM, DM, and FW are the major diseases of cucumber in China that cause severe yield losses and the genetic-based cucumber resistance against these diseases has been developed over the last decade. Still, the molecular mechanisms of cucumber disease resistance remain unclear. In this review, we summarize recent findings on the inheritance, molecular markers, and quantitative trait locus mapping of cucumber PM, DM, and FM resistance. In addition, several candidate genes, such as PM, DM, and FM resistance genes, with or without functional verification are reviewed. The data help to reveal the molecular mechanisms of cucumber disease resistance and provide exciting new opportunities for further resistance breeding.
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Affiliation(s)
- Yujin He
- Key Laboratory for Quality and Safety Control of Subtropical Fruits and Vegetables, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, Ministry of Agriculture and Rural Affairs, College of Horticulture Science, Zhejiang Agriculture and Forestry University, Hangzhou, China
| | - Mingming Wei
- Ministry of Agriculture Key Laboratory of Biology and Genetic Resource Utilization of Rubber Tree, State Key Laboratory Breeding Base of Cultivation and Physiology for Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, China
| | - Yanyan Yan
- Key Laboratory for Quality and Safety Control of Subtropical Fruits and Vegetables, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, Ministry of Agriculture and Rural Affairs, College of Horticulture Science, Zhejiang Agriculture and Forestry University, Hangzhou, China
| | - Chao Yu
- Key Laboratory for Quality and Safety Control of Subtropical Fruits and Vegetables, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, Ministry of Agriculture and Rural Affairs, College of Horticulture Science, Zhejiang Agriculture and Forestry University, Hangzhou, China
| | - Siqi Cheng
- Key Laboratory for Quality and Safety Control of Subtropical Fruits and Vegetables, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, Ministry of Agriculture and Rural Affairs, College of Horticulture Science, Zhejiang Agriculture and Forestry University, Hangzhou, China
| | - Yihan Sun
- Key Laboratory for Quality and Safety Control of Subtropical Fruits and Vegetables, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, Ministry of Agriculture and Rural Affairs, College of Horticulture Science, Zhejiang Agriculture and Forestry University, Hangzhou, China
| | - Xiangtao Zhu
- College of Jiyang, Zhejiang Agriculture and Forestry University, Zhuji, China
| | - Lingling Wei
- Institute of Ecological Civilization, Zhejiang Agriculture and Forestry University, Hangzhou, China
| | - Huasen Wang
- Key Laboratory for Quality and Safety Control of Subtropical Fruits and Vegetables, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, Ministry of Agriculture and Rural Affairs, College of Horticulture Science, Zhejiang Agriculture and Forestry University, Hangzhou, China
- Ministry of Agriculture Key Laboratory of Biology and Genetic Resource Utilization of Rubber Tree, State Key Laboratory Breeding Base of Cultivation and Physiology for Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, China
| | - Li Miao
- Key Laboratory for Quality and Safety Control of Subtropical Fruits and Vegetables, Collaborative Innovation Center for Efficient and Green Production of Agriculture in Mountainous Areas of Zhejiang Province, Ministry of Agriculture and Rural Affairs, College of Horticulture Science, Zhejiang Agriculture and Forestry University, Hangzhou, China
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Tang XJ, Duan LJ, Liang WL, Cheng S, Dong TL, Xie Z, Liu KM, Yu F, Chen ZH, Mi GD, Liang L, Yan HJ, Chen L, Lin L, Kang DM, Fu XB, Qiu MF, Jiang Z, Xu ZY, Wu Z. [Application of limiting antigen avidity enzyme immunoassay for estimating HIV-1 incidence in men who have sex with men]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:72-77. [PMID: 35130655 DOI: 10.3760/cma.j.cn112338-20210609-00463] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To estimate the incidence of HIV-1 infection in men who have sex with men (MSM) in key areas of China through HIV-1 limiting antigen avidity enzyme immunoassay (LAg-Avidity EIA), analyze the deviation from the actual results and identify influencing factors, and provided reference for improving the accuracy of estimation results. Methods: Based on the principle of the cohort randomized study design, 20 cities were selected in China based on population size and the number of HIV-positive MSM. The sample size was estimated to be 700 according to the HIV-1 infection rate in MSM. MSM mobile phone app. was used to establish a detection appointment and questionnaire system, and the baseline cross-sectional survey was conducted from April to November 2019. LAg-Avidity EIA was used to identify the recent infected samples. The incidence of HIV-1 infection was calculated and then adjusted based on the estimation formula designed by WHO. The influencing factors were identified by analyzing the sample collection and detection processes. Results: Among the 10 650 blood samples from the participants, 799 were HIV-positive in initial screening, in which 198 samples (24.78%) missed during confirmation test. Only 621 samples were received by the laboratory. After excluding misreported samples, 520 samples were qualified for testing. A total of 155 samples were eventually determined as recent infection through LAg-Avidity EIA; Based on the estimation formula , the incidence of HIV-1 infection in MSM in 20 cities was 4.06% (95%CI:3.27%-4.85%), it increased to 5.53% (95%CI: 4.45%-6.60%)after the adjusting for sample missing rate. When the sample missing rate and misreporting rate were both adjusted, the incidence of HIV-1 infection in the MSM increased to 5.66% (95%CI:4.67%-6.65%). The actual incidence of HIV-1 infection in MSM in the 20 cities might be between 4.06% and 5.66%. Conclusions: Sample missing and misreporting might cause the deviation of the estimation of HIV-1 infection incidence. It is important to ensure the sample source and the quality of sample collection and detection to reduce the deviation in the estimation of HIV-1 infection incidence.
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Affiliation(s)
- X J Tang
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L J Duan
- National HIV/AIDS Reference Laboratory, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - W L Liang
- National HIV/AIDS Reference Laboratory, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S Cheng
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - T L Dong
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Xie
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - K M Liu
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F Yu
- Danlan Beijing Media Limited, Beijing 100020, China
| | - Z H Chen
- Danlan Beijing Media Limited, Beijing 100020, China
| | - G D Mi
- Danlan Beijing Media Limited, Beijing 100020, China
| | - L Liang
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang 050021, China
| | - H J Yan
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - L Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - L Lin
- Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China
| | - D M Kang
- Shandong Provincial Center for Disease Control and Prevention, Ji'nan 250014, China
| | - X B Fu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - M F Qiu
- National HIV/AIDS Reference Laboratory, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Jiang
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z Y Xu
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Zunyou Wu
- Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Liu L, Cheng B, Ye J, Qi X, Cheng S, Meng P, Chen Y, Yang X, Yao Y, Zhang H, Zhang Z, Zhang J, Li C, Pan C, Wen Y, Jia Y, Zhang F. Understanding the Complex Interactions between Coffee, Tea Intake and Neurologically Relevant Tissues Proteins in the Development of Anxiety and Depression. J Nutr Health Aging 2022; 26:1070-1077. [PMID: 36519770 DOI: 10.1007/s12603-022-1869-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Coffee and tea intake might be associated with psychiatry diseases. However, it is unclear whether the effect of coffee/tea on anxiety and depression depending on the different types of proteins. DESIGN This was a cross-sectional study. SETTING Our datasets were downloaded from online. PARTICIPANTS Phenotypic and genotypic data for coffee intake(N=376,196) and tea intake (N=376,078) were derived from UK Biobank. GWAS data of proteins (N=1,537) from neurologically relevant tissues (brain, cerebrospinal fluid (CSF) and plasma) were obtained from a recently published study. MEASUREMENTS Multivariate linear analysis was then used to evaluate the potential interaction effect between coffee/tea intake and proteins polygenetic risk score (PRS) on the risks of anxiety and depression controlling for age, sex, Townsend deprivation index (TDI), smoke, drinking and education level. RESULTS 34 coffee intake-proteins interactions and 15 tea intake-proteins interactions were observed in anxiety individuals, such as coffee intake-c-Jun interaction (β=0.0169, P=4.131×10-3), coffee intake-Fas interaction (β=-0.0190, P=8.132×10-4), tea intake-sL-Selectin interaction (β=0.0112, P=5.412×10-3) and tea intake-IL-1F6 (β=0.0083, P=4.471×10-2). 25 coffee intake-proteins and 14 tea intake-proteins interactions were observed in depression individuals, including coffee intake- IL-1 sRI (β=0.0171, P=4.888×10-3) and coffee intake-NXPH1 interaction (β=0.0156, P=9.819×10-3), tea intake-COLEC12 interaction (β=0.0127, P=3.280×10-3), and tea intake-Layilin interaction (β=0.0117, P=7.926×10-3). CONCLUSIONS Our results suggested the important role of multiple proteins in neurologically relevant tissues in the associations between coffee/tea intake and psychiatry diseases, providing entry points to explore the mechanisms underlying anxiety and depression.
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Affiliation(s)
- L Liu
- Feng Zhang, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P. R. China 710061,
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Cheng S, Nair J, Thomas R, Greenland C, Weerasooriya S. A Prospective Cohort Study Evaluating the Prevalence of Familial Hypercholesterolaemia Amongst Cardiac Inpatients in Far North Queensland. Heart Lung Circ 2022. [DOI: 10.1016/j.hlc.2022.06.470] [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: 10/16/2022]
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Gunther J, Yang J, Hajj C, Ng A, Brady J, Cheng S, Levis M, Qi S, Mikhaeel G, Ricardi U, Illidge T, Turin A, Knafl M, Specht L, Dabaja B, Yahalom J. Efficacy and Toxicity of Alternative Radiation Treatment Schemes for Patients With Hematologic Malignancies: A Collaborative ILROG COVID Era Report. Int J Radiat Oncol Biol Phys 2021. [PMCID: PMC8536223 DOI: 10.1016/j.ijrobp.2021.07.961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Purpose/Objective(s) The COVID19 pandemic required radiation oncologists (ROs) to consider shorter treatment courses to minimize patient and staff exposure and conserve healthcare resources. Hematologic ROs adopted hypofractionated radiation therapy (hRT) regimens according to guidelines published by the International Lymphoma Radiation Oncology Group (ILROG). We report for the first time the preliminary efficacy and toxicity of these novel hypofractionated regimens in the treatment of hematologic malignancies. Materials/Methods We conducted a multicenter, multinational retrospective study under the direction of the ILROG. All patients receiving hRT according to ILROG guidelines from 1/1/2020 to 8/31/2020 were included. Patient and treatment details were abstracted from separate institutional databases. Toxicity was graded using CTCAE v5.0. Results Ninety-three patients from 4 institutions treated with 114 RT courses were included. Patient and treatment details are displayed in Table 1. Median follow up for the cohort was 179 days, and 77 patients (82%) were alive at last follow up. Maximal toxicity experienced by patients included Grade 1 (n = 16), Grade 2 (n = 1) and Grade 3 (n = 1) toxicities. Of 80 sites with response assessment within the RT field, 69% of patients achieved a complete response (n = 55), 20% partial response (n = 16), 9% stable disease (n = 7), and 2% progressive disease (n = 2). No COVID19 infections during or after RT have been documented in this patient cohort. Conclusion HRT according to ILROG guidelines resulted in low rates of acute toxicity and reasonable short-term treatment efficacy. Longer follow up and comparison with control groups is needed to draw more definitive conclusions and will be presented at the Annual Meeting.
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Cheng S, Diao F, Han MJ, Liu FH, Cao HH, Xu HF, Cao XB. [Analysis of factors related to the online social interaction and causal sexual behaviors among foreigners in Guangzhou]. Zhonghua Liu Xing Bing Xue Za Zhi 2021; 42:1850-1854. [PMID: 34814623 DOI: 10.3760/cma.j.cn112338-20210406-00283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To understand the social support, social network, and sexual behavior characteristics of foreigners living in Guangzhou, analyze factors relating to aspects of online social interactions and sexual behaviors of foreigners in Guangzhou, and provide references for targeted HIV intervention services for foreigners. Methods: A cross-sectional survey (both online and offline), among those who met the inclusion criteria was conducted between November 2019 and January 2020. Data were collected on demographics, social support, online social interactions, sexual behaviors, and so on. Statistics were compiled to analyze the factors that may influence casual sexual behaviors. Results: A total of 434 participants were included in the study (241 offline and 193 online). The majority of the participants were male 68.4% (297/434), age (31.0±8.8) years old, African 79.0% (343/434), business people 46.5% (202/434), students 48.2% (209/434), who have business partners and family members in China were 59.4% (258/434) and 28.1% (122/434) separately. They also had the following features: less than 10 close friends 57.1% (248/434); spend 1-3 hours on social applications per day 43.3% (188/434), had casual sexual behaviors in the last 3 months 15.2% (55/363). Multiple logistic regression model analysis showed that compared with those who used social applications for less than 1 hour per day, participants who used social applications for more than 6 hours per day were more likely to have casual sexual behaviors in the last 3 months (OR=3.63, 95%CI: 1.31-10.08). Conclusions: Participants who used social applications for a longer period every day were more likely to have casual sexual behaviors among foreigners in Guangzhou. Good use of social applications for health promotion and education of HIV can increase the health awareness of foreigners in China.
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Affiliation(s)
- S Cheng
- National Center for HIV/AIDS Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F Diao
- Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - M J Han
- National Center for HIV/AIDS Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F H Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China
| | - H H Cao
- The Third Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510410, China
| | - H F Xu
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - X B Cao
- National Center for HIV/AIDS Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China Chinese Center for Disease Control and Prevention, Beijing 102206, China
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