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Chen K, Xie Y, Chi S, Chen D, Ran G, Shen X. Effects of intraoperative low-dose esketamine on postoperative pain after vestibular schwannoma resection: A prospective randomized, double-blind, placebo-controlled study. Br J Clin Pharmacol 2024. [PMID: 38657619 DOI: 10.1111/bcp.16081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/27/2024] [Accepted: 04/03/2024] [Indexed: 04/26/2024] Open
Abstract
AIMS Esketamine may reduce acute postoperative pain in several settings. However, the effects of low-dose esketamine on postoperative pain after vestibular schwannoma (VS) resection with propofol/remifentanil total intravenous anaesthesia (TIVA) are unclear. The aim of this study is to observe the effects of intraoperative low-dose esketamine on postoperative pain after vestibular schwannoma resection. METHODS This single-centre, randomized, placebo-controlled, double-blind trial included 90 adults undergoing VS resection via the retrosigmoid approach with TIVA. The patients were randomly allocated to two groups: esketamine or control (n = 45 in each group). Patients received low-dose esketamine (0.2 mg/kg) or a similar volume of normal saline after dural closure. The primary outcome was the pain score during movement (gentle head movement) at 24 h postoperatively. Secondary outcomes included recovery time, bispectral index (BIS) values and haemodynamic profiles during the first 30 min after esketamine administration, and adverse effects. RESULTS Low-dose esketamine did not reduce pain scores at rest (P > .05) or with movement (P > .05) within the first 24 h after surgery. Esketamine moderately increased BIS values for at least 30 min after administration (P < .0001) but did not affect heart rate (P = .992) or mean arterial blood pressure (P = .994). Esketamine prolonged extubation time (P = .042, 95% confidence interval: 0.08 to 4.42) and decreased the effect-site concentration of remifentanil at extubation (P = .001, 95% confidence interval: -0.53 to -0.15) but did not affect the time to resumption of spatial orientation. Postoperative nausea and vomiting rates did not differ between groups, and no hallucinations or excessive sedation was observed. CONCLUSION Intraoperative low-dose esketamine did not significantly reduce acute pain after VS resection with propofol/remifentanil TIVA. However, BIS values increased for at least 30 min after esketamine administration.
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Affiliation(s)
- Kaizheng Chen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Fenyang, People's Republic of China
| | - Yaming Xie
- Department of Anesthesiology, Shanghai Sixth People's Hospital, Jiaotong University, Shanghai, China
| | - Songyuan Chi
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Fenyang, People's Republic of China
| | - Dandan Chen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Fenyang, People's Republic of China
| | - Guo Ran
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Fenyang, People's Republic of China
| | - Xia Shen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Fenyang, People's Republic of China
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2
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Sang C, Yan L, Lin J, Lin Y, Gao Q, Shen X. Identification and validation of a lactate metabolism-related six-gene prognostic signature in intrahepatic cholangiocarcinoma. J Cancer Res Clin Oncol 2024; 150:199. [PMID: 38627278 PMCID: PMC11021257 DOI: 10.1007/s00432-024-05723-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 03/22/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE Intrahepatic cholangiocarcinoma (iCCA) is a highly malignant and fatal liver tumor with increasing incidence worldwide. Lactate metabolism has been recently reported as a crucial contributor to tumor progression and immune regulation in the tumor microenvironment. However, it remains poorly identified about the biological functions of lactate metabolism in iCCA, which hinders the development of prognostic tools and therapeutic interventions. METHODS The univariate Cox regression analysis and Boruta algorithm were utilized to identify key lactate metabolism-related genes (LMRGs), and a prognostic signature was constructed based on LMRG scores. Genomic variations and immune cell infiltration were evaluated in the high and low LMRG score groups. Finally, the biological functions of key LMRGs were verified with in vitro and in vivo experiments. RESULTS Patients in the high LMRG score group exhibit a poor prognosis compared to those in the low LMRG score group, with a high frequency of TP53 and KRAS mutations. Moreover, the infiltration and function of NK cells were compromised in the high LMRG score group, consistent with the results from two independent single-cell RNA sequencing datasets and immunohistochemistry of tissue microarrays. Experimental data revealed that lactate dehydrogenase A (LDHA) knockdown inhibited proliferation and migration in iCCA cell lines and tumor growth in immunocompetent mice. CONCLUSION Our study revealed the biological roles of LDHA in iCCA and developed a reliable lactate metabolism-related prognostic signature for iCCA, offering promising therapeutic targets for iCCA in the clinic.
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Affiliation(s)
- Chen Sang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Li Yan
- Department of Hematology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jian Lin
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Youpei Lin
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China.
| | - Xia Shen
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China.
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3
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Li A, Yi H, Deng S, Ruan M, Xu P, Huo Y, Lu H, Shen X, Ouyang B, Cai M, Xu H, Wang Z, Zhang L, Zhu L, Peng Q, Gu Y, Xie J, Wang Y, Dong L, Liu Z, Wang C. The genetic landscape of histologically transformed marginal zone lymphomas. Cancer 2024; 130:1246-1256. [PMID: 37941429 DOI: 10.1002/cncr.35072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 08/24/2023] [Accepted: 09/11/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Marginal zone lymphomas (MZLs) comprise a diverse group of indolent lymphoproliferative disorders; however, some patients develop histologic transformation (HT) with rapid progression to aggressive lymphoma. METHODS Forty-three MZLs with HT (HT-MZLs), 535 MZLs, and 174 de novo diffuse large B-cell lymphomas (DLBCLs) without rearrangements of MYC, BCL2, and BCL6 were collected. Among these, 22 HT-MZLs, 39 MZLs, and 174 DLBCLs were subjected to 148-gene targeted exome sequencing. The clinicopathologic features of patients who had HT-MZL and their genetic alterations were compared with those of patients who had MZLs and DLBCLs. RESULTS All 43 HT-MZLs corresponded to DLBCLs. No HT-MZLs harbored BCL2 and MYC and/or BCL6 rearrangements. Bone marrow involvement and higher levels of lactate dehydrogenase were significantly more common in HT-MZLs than in MZLs. Furthermore, upregulated BCL6, MUM1, C-MYC, and Ki-67 expression was observed more frequently in HT-MZLs than in MZLs. TBL1XR1 was the most frequently altered gene (63.6%) in HT-MZLs, followed by CCND3 (31.8%), CARD11, ID3, and TP53 (22.7%). A trend toward worse progression-free survival in patients with TBL1XR1 mutations was observed. Compared with MZLs and non-germinal center B-cell (GCB) type DLBCLs, significantly higher frequencies of TBL1XR1 and ID3 mutations were identified in HT-MZLs. PIM1 mutations frequently occurred in DLBCLs and were significantly associated with TBL1XR1 mutations but were mutated less in HT-MZLs that had TBL1XR1 mutations. CONCLUSIONS The current findings reveal the clinicopathologic and genetic features of HT-MZLs, suggesting that these tumors might constitute a group distinct from MZL and de novo non-GCB type DLBCL. TBL1XR1 mutations may be considered a predictor of HT in MZL.
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Affiliation(s)
- Anqi Li
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongmei Yi
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shijie Deng
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Miao Ruan
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Pengpeng Xu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yujia Huo
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiyang Lu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Shen
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Binsen Ouyang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mingci Cai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haimin Xu
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhongyu Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Zhang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingyan Zhu
- Department of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Peng
- Department of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yijin Gu
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jialing Xie
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Dong
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zebing Liu
- Department of Pathology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chaofu Wang
- Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Fan L, Zhu Z, Lin X, Shen X, Yang T, Wang H, Zhou X. Comparative Genomic Analysis of PEBP Genes in Cucurbits Explores the Interactors of Cucumber CsPEBPs Related to Flowering Time. Int J Mol Sci 2024; 25:3815. [PMID: 38612626 PMCID: PMC11011414 DOI: 10.3390/ijms25073815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
The family of phosphatidylethanolamine-binding proteins (PEBPs) participates in various plant biological processes, mainly flowering regulation and seed germination. In cucurbit crops, several PEBP genes have been recognized to be responsible for flowering time. However, the investigation of PEBP family members across the genomes of cucurbit species has not been reported, and their conservation and divergence in structure and function remain largely unclear. Herein, PEBP genes were identified from seven cucurbit crops and were used to perform a comparative genomics analysis. The cucurbit PEBP proteins could be classified into MFT, FT, TFL, and PEBP clades, and further, the TFL clade was divided into BFT-like, CEN-like, and TFL1-like subclades. The MFT-like, FT-like, and TFL-like proteins were clearly distinguished by a critical amino acid residue at the 85th position of the Arabidopsis FT protein. In gene expression analysis, CsaPEBP1 was highly expressed in flowers, and its expression levels in females and males were 70.5 and 89.2 times higher, respectively, than those in leaves. CsaPEBP5, CsaPEBP6, and CsaPEBP7 were specifically expressed in male flowers, with expression levels 58.1, 17.3, and 15.7 times higher, respectively, than those of leaves. At least five CsaPEBP genes exhibited the highest expression during the later stages of corolla opening. Through clustering of time-series-based RNA-seq data, several potential transcription factors (TFs) interacting with four CsaPEBPs were identified during cucumber corolla opening. Because of the tandem repeats of binding sites in promoters, NF-YB (Csa4G037610) and GATA (Csa7G64580) TFs appeared to be better able to regulate the CsaPEBP2 and CsaPEBP5 genes, respectively. This study would provide helpful information for further investigating the roles of PEBP genes and their interacting TFs in growth and development processes, such as flowering time regulation in cucurbit crops.
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Affiliation(s)
| | | | | | | | | | | | - Xiuyan Zhou
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (Northeast Region), Ministry of Agriculture, College of Horticulture and Landscape Architecture, Northeast Agricultural University, Harbin 150030, China; (L.F.); (Z.Z.); (X.L.); (X.S.); (T.Y.); (H.W.)
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Zhao L, Shen X, Yang L, Wang P, Zhang J, Liu N, Xie Y. Association of prognostic nutritional index with mortalities in American adult cancer survivors: A cohort study based on NHANES, 1999-2018. Food Sci Nutr 2024; 12:1834-1846. [PMID: 38455180 PMCID: PMC10916647 DOI: 10.1002/fsn3.3877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/10/2023] [Accepted: 11/15/2023] [Indexed: 03/09/2024] Open
Abstract
The prognostic nutritional index (PNI) has been associated with disease progression and overall survival among cancer patients. Nonetheless, the association between PNI and mortality risk in adult cancer patients within the United States remains unexplored. This study aims to elucidate the connection between PNI and prognostic outcomes in American adult cancer patients. This cohort study derived data from the National Health and Nutrition Examination database, involving 4366 American adults diagnosed with cancer between 1999 and 2018. The nutritional status was assessed using the PNI, with higher PNI scores indicating a more favorable nutritional status. The study employed Kaplan-Meier curves and Cox proportional hazard regression to investigate the impact of PNI on various outcomes, including all-cause mortality (ACM), cardiovascular mortality (CAM), and malignancy tumor mortality (MTM) among adult cancer patients. Furthermore, restricted cubic spline models were used to examine the potential nonlinear relationship between the variables by creating hazard ratio (HR) curves at four specific points. The median follow-up duration was 84 months, during which 1530 (35.04%) cases of ACM occurred, including 331 (13.67%) CAM and 449 (10.45%) MTM. COX regression analysis revealed a significant inverse association between PNI and patient prognosis, with HRs of 0.95 (95% CI: 0.93-0.96, p < .001) for ACM, 0.93 (95% CI: 0.90-0.96, p < .001) for CAM, and 0.94 (95% CI: 0.91-0.97, p < .001) for MTM. Both Kaplan-Meier analyses and restricted cubic spline curves showed significant differences in mortality rates related to PNI (p < .001, nonlinear p < .001). Our study provides compelling evidence of a clear association between PNI and reduced risk of ACM, CAM, and MTM in adult cancer patients in the United States. These findings underscore the significance of incorporating PNI as a possible prognostic indicator for individuals diagnosed with cancer.
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Affiliation(s)
- Li Zhao
- Department of Nursing, Wuxi Maternity and Child Health Care Hospital, Women's Hospital of Jiangnan UniversityJiangnan UniversityWuxiJiangsuChina
| | - Xia Shen
- Department of Nursing, Wuxi Medical CollegeJiangnan UniversityWuxiJiangsuChina
| | - Long Yang
- College of PediatricsXinjiang Medical UniversityUrumqiChina
| | - Pengfei Wang
- Department of Anorectal SurgeryChina Academy of Chinese Medical Sciences Xi Yuan HospitalBeijingChina
| | - Jianfeng Zhang
- Department of Nursing, Wuxi Medical CollegeJiangnan UniversityWuxiJiangsuChina
| | - Ning Liu
- Department of the Office of Science and Education, Wuxi Maternity and Child Health Care Hospital, Women's Hospital of Jiangnan UniversityJiangnan UniversityWuxiJiangsuChina
| | - Yan Xie
- Department of Hospital Sentinel Medicine, Wuxi Maternity and Child Health Care Hospital, Women's Hospital of Jiangnan UniversityJiangnan UniversityWuxiJiangsuChina
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Denham P, Yang Y, Guo V, Fisher A, Shen X, Xu T, England RJ, Li RK, Musumeci P. High energy electron diffraction instrument with tunable camera length. Struct Dyn 2024; 11:024302. [PMID: 38532924 PMCID: PMC10965247 DOI: 10.1063/4.0000240] [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] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/04/2024] [Indexed: 03/28/2024]
Abstract
Ultrafast electron diffraction (UED) stands as a powerful technique for real-time observation of structural dynamics at the atomic level. In recent years, the use of MeV electrons from radio frequency guns has been widely adopted to take advantage of the relativistic suppression of the space charge effects that otherwise limit the temporal resolution of the technique. Nevertheless, there is not a clear choice for the optimal energy for a UED instrument. Scaling to beam energies higher than a few MeV does pose significant technical challenges, mainly related to the inherent increase in diffraction camera length associated with the smaller Bragg angles. In this study, we report a solution by using a compact post-sample magnetic optical system to magnify the diffraction pattern from a crystal Au sample illuminated by an 8.2 MeV electron beam. Our method employs, as one of the lenses of the optical system, a triplet of compact, high field gradients (>500 T/m), small-gap (3.5 mm) Halbach permanent magnet quadrupoles. Shifting the relative position of the quadrupoles, we demonstrate tuning the magnification by more than a factor of two, a 6× improvement in camera length, and reciprocal space resolution better than 0.1 Å-1 in agreement with beam transport simulations.
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Affiliation(s)
- P. Denham
- Department of Physics and Astronomy, UCLA, Los Angeles, California 90095, USA
| | - Y. Yang
- Department of Engineering Physics, Tsinghua University, Beijing 100084, China
| | - V. Guo
- Department of Physics and Astronomy, UCLA, Los Angeles, California 90095, USA
| | - A. Fisher
- Department of Physics and Astronomy, UCLA, Los Angeles, California 90095, USA
| | - X. Shen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - T. Xu
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - R. J. England
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - R. K. Li
- Department of Engineering Physics, Tsinghua University, Beijing 100084, China
| | - P. Musumeci
- Department of Physics and Astronomy, UCLA, Los Angeles, California 90095, USA
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Liu FG, Meng DF, Shen X, Meng D, Liu Y, Zhang LY. Coca-Cola consumption vs fragmentation in the management of patients with phytobezoars: A prospective randomized controlled trial. World J Gastrointest Endosc 2024; 16:83-90. [PMID: 38464817 PMCID: PMC10921151 DOI: 10.4253/wjge.v16.i2.83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 01/04/2024] [Accepted: 01/16/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Gastric phytobezoars (GPBs) are very common in northern China. Combined therapy involving carbonated beverage consumption and endoscopic lithotripsy has been shown to be effective and safe. Existing studies on this subject are often case reports highlighting the successful dissolution of phytobezoars through Coca-Cola consumption. Consequently, large-scale prospective investigations in this domain remain scarce. Therefore, we conducted a randomized controlled trial to examine the effects of Coca-Cola consumption on GPBs. AIM To evaluate the impact of Coca-Cola on GPBs, including the dissolution rate, medical expenses, ulcer rate, and operation time. METHODS A total of 160 consecutive patients diagnosed with GPBs were allocated into two groups (a control group and an intervention group) through computer-generated randomization. Patients in the intervention group received a Coca-Cola-based regimen (Coca-Cola 2000-4000 mL per day for 7 d), while those in the control group underwent emergency fragmentation. RESULTS Complete dissolution of GPBs was achieved in 100% of the patients in the intervention group. The disparity in expenses between the control group and intervention group (t = 25.791, P = 0.000) was statistically significant, and the difference in gastric ulcer occurrence between the control group and intervention group (χ2 = 6.181, P = 0.013) was also statistically significant. CONCLUSION Timely ingestion of Coca-Cola yields significant benefits, including a complete dissolution rate of 100%, a low incidence of gastric ulcers, no need for fragmentation and reduced expenses.
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Affiliation(s)
- Fu-Guo Liu
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - De-Feng Meng
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Xia Shen
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Dan Meng
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Ying Liu
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
| | - Ling-Yun Zhang
- Endoscopy Center, The Affiliated Hospital of Qingdao University, Qingdao 266000, Shandong Province, China
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8
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Shen X, Wu Y, Dang C, Li P, Guo P. Direct chemical-vapor-deposition growth of alloyed perovskite microcrystals for tunable emissions. Nanotechnology 2024; 35:185704. [PMID: 38271736 DOI: 10.1088/1361-6528/ad22af] [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: 09/22/2023] [Accepted: 01/24/2024] [Indexed: 01/27/2024]
Abstract
Tunable composition of perovskite micro/nanostructures are perfect candidate for the designing of multifunctional optoelectronic circuits. Especially, integrated polychromatic luminescence based on the perovskite materials along a single substrate or chip is essential to the integrated photonic devices and multicolor displays. Here, we reported a synthesis of composition tunable CsPbI3(1-x)Br3x(X = 0.65-0.9) perovskite microstructures on a single substrate via a magnetic-pulling CVD method. The PL emissions can be changed gradually from green (558 nm, 2.23 eV) to red (610 nm, 2.03 eV) under a focused 375 nm laser illumination. Furthermore, these composition-graded alloyed perovskite microcrystals show stable emissions after six months in air, which may find applications in multicolor display and broad band light sources in the future.
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Affiliation(s)
- Xia Shen
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, People's Republic of China
| | - Yu Wu
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, People's Republic of China
| | - Chanjuan Dang
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, People's Republic of China
- School of Physics and Electronic Science, Shanxi Datong University, Datong 037009, People's Republic of China
| | - Pu Li
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, People's Republic of China
| | - Pengfei Guo
- College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, People's Republic of China
- Department of Materials Science and Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077, People's Republic of China
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9
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Ying K, Liu H, Tarkhov AE, Sadler MC, Lu AT, Moqri M, Horvath S, Kutalik Z, Shen X, Gladyshev VN. Causality-enriched epigenetic age uncouples damage and adaptation. Nat Aging 2024; 4:231-246. [PMID: 38243142 DOI: 10.1038/s43587-023-00557-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 12/12/2023] [Indexed: 01/21/2024]
Abstract
Machine learning models based on DNA methylation data can predict biological age but often lack causal insights. By harnessing large-scale genetic data through epigenome-wide Mendelian randomization, we identified CpG sites potentially causal for aging-related traits. Neither the existing epigenetic clocks nor age-related differential DNA methylation are enriched in these sites. These CpGs include sites that contribute to aging and protect against it, yet their combined contribution negatively affects age-related traits. We established a new framework to introduce causal information into epigenetic clocks, resulting in DamAge and AdaptAge-clocks that track detrimental and adaptive methylation changes, respectively. DamAge correlates with adverse outcomes, including mortality, while AdaptAge is associated with beneficial adaptations. These causality-enriched clocks exhibit sensitivity to short-term interventions. Our findings provide a detailed landscape of CpG sites with putative causal links to lifespan and healthspan, facilitating the development of aging biomarkers, assessing interventions, and studying reversibility of age-associated changes.
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Affiliation(s)
- Kejun Ying
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- T. H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Hanna Liu
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Massachusetts College of Pharmacy and Health Sciences, Boston, MA, USA
- Department of Pharmacy, Massachusetts General Hospital, Boston, MA, USA
| | - Andrei E Tarkhov
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Marie C Sadler
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Ake T Lu
- Altos Labs, San Diego, CA, USA
- Departments of Human Genetics and Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Mahdi Moqri
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA, USA
| | - Steve Horvath
- Altos Labs, San Diego, CA, USA
- Departments of Human Genetics and Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Zoltán Kutalik
- University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Xia Shen
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, School of Life Sciences, Fudan University, Shanghai, China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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10
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Shen X, Yi HM, Li AQ, Ouyang BS, Dong L, Wang CF. [Mutation characteristics of angioimmunoblastic T-cell lymphoma: an analysis of 75 cases]. Zhonghua Bing Li Xue Za Zhi 2024; 53:29-33. [PMID: 38178743 DOI: 10.3760/cma.j.cn112151-20230823-00089] [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: 01/06/2024]
Abstract
Objective: To investigate the characteristics of gene mutations in angioimmunoblastic T-cell lymphoma (AITL). Methods: Seventy-five AITL cases diagnosed at the Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China from June 2021 to June 2023 were included. Their formalin-fixed and paraffin-embedded or fresh tissues were subject to targeted next generation sequencing (NGS). The sequencing data was collected, and the distribution and type of gene mutations were analyzed. Results: 492 potential driver mutations were identified in 74 out of the 84 genes. Targeted sequencing data for the 75 AITL patients showed that the genes with mutation frequencies of ≥10% were TET2 (89.3%), RHOA (57.3%), IDH2 (37.3%), DNMT3A (36.0%), KMT2C (21.3%), PLCG1 (12.0%), and KDM6B (10.7%). There were significant co-occurrence relationships between TET2 and RHOA, TET2 and IDH2, and RHOA and IDH2 gene mutations (P<0.05), respectively, while TET2 and KDM6B gene mutations were mutually exclusive (P<0.05). Conclusions: The study reveals the mutational characteristics of AITL patients using NGS technology, which would provide insights for molecular diagnosis and targeted therapy of AITL.
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Affiliation(s)
- X Shen
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - H M Yi
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - A Q Li
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - B S Ouyang
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - L Dong
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
| | - C F Wang
- Department of Pathology, Ruijin Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai 200025, China
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11
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Teng J, Gao Y, Yin H, Bai Z, Liu S, Zeng H, Bai L, Cai Z, Zhao B, Li X, Xu Z, Lin Q, Pan Z, Yang W, Yu X, Guan D, Hou Y, Keel BN, Rohrer GA, Lindholm-Perry AK, Oliver WT, Ballester M, Crespo-Piazuelo D, Quintanilla R, Canela-Xandri O, Rawlik K, Xia C, Yao Y, Zhao Q, Yao W, Yang L, Li H, Zhang H, Liao W, Chen T, Karlskov-Mortensen P, Fredholm M, Amills M, Clop A, Giuffra E, Wu J, Cai X, Diao S, Pan X, Wei C, Li J, Cheng H, Wang S, Su G, Sahana G, Lund MS, Dekkers JCM, Kramer L, Tuggle CK, Corbett R, Groenen MAM, Madsen O, Gòdia M, Rocha D, Charles M, Li CJ, Pausch H, Hu X, Frantz L, Luo Y, Lin L, Zhou Z, Zhang Z, Chen Z, Cui L, Xiang R, Shen X, Li P, Huang R, Tang G, Li M, Zhao Y, Yi G, Tang Z, Jiang J, Zhao F, Yuan X, Liu X, Chen Y, Xu X, Zhao S, Zhao P, Haley C, Zhou H, Wang Q, Pan Y, Ding X, Ma L, Li J, Navarro P, Zhang Q, Li B, Tenesa A, Li K, Liu GE, Zhang Z, Fang L. A compendium of genetic regulatory effects across pig tissues. Nat Genet 2024; 56:112-123. [PMID: 38177344 PMCID: PMC10786720 DOI: 10.1038/s41588-023-01585-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 10/13/2023] [Indexed: 01/06/2024]
Abstract
The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. Here we show results from the pilot phase of PigGTEx by processing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples passing quality control from pigs. We build a pig genotype imputation panel and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We evaluate tissue specificity of regulatory effects and elucidate molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying 207 pig complex phenotypes and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, supporting the importance of pigs as a human biomedical model.
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Affiliation(s)
- Jinyan Teng
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Yahui Gao
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, USA
| | - Hongwei Yin
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhonghao Bai
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Shuli Liu
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA
- School of Life Sciences, Westlake University, Hangzhou, China
| | - Haonan Zeng
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Lijing Bai
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zexi Cai
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Bingru Zhao
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Xiujin Li
- Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China
| | - Zhiting Xu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Qing Lin
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Zhangyuan Pan
- Department of Animal Science, University of California, Davis, Davis, CA, USA
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Wenjing Yang
- College of Animal Science and Technology, China Agricultural University, Beijing, China
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Xiaoshan Yu
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Dailu Guan
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Yali Hou
- Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, China
| | - Brittney N Keel
- ARS, USDA, U.S. Meat Animal Research Center, Clay Center, NE, USA
| | - Gary A Rohrer
- ARS, USDA, U.S. Meat Animal Research Center, Clay Center, NE, USA
| | | | - William T Oliver
- ARS, USDA, U.S. Meat Animal Research Center, Clay Center, NE, USA
| | - Maria Ballester
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Daniel Crespo-Piazuelo
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Raquel Quintanilla
- Animal Breeding and Genetics Programme, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Torre Marimon, Caldes de Montbui, Spain
| | - Oriol Canela-Xandri
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Konrad Rawlik
- Baillie Gifford Pandemic Science Hub, University of Edinburgh, Edinburgh, UK
| | - Charley Xia
- Lothian Birth Cohort studies, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Yuelin Yao
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
- School of Informatics, The University of Edinburgh, Edinburgh, UK
| | - Qianyi Zhao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Wenye Yao
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Liu Yang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Houcheng Li
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Huicong Zhang
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Wang Liao
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Tianshuo Chen
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
| | - Peter Karlskov-Mortensen
- Animal Genetics, Bioinformatics and Breeding, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Merete Fredholm
- Animal Genetics, Bioinformatics and Breeding, Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marcel Amills
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain
- Departament de Ciència Animal i dels Aliments, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Alex Clop
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain
- Consejo Superior de Investigaciones Científicas, Barcelona, Spain
| | - Elisabetta Giuffra
- Paris-Saclay University, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Jun Wu
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Xiaodian Cai
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Shuqi Diao
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Xiangchun Pan
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Chen Wei
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Jinghui Li
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Hao Cheng
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Guosheng Su
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Goutam Sahana
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Mogens Sandø Lund
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark
| | - Jack C M Dekkers
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Luke Kramer
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | | | - Ryan Corbett
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Martien A M Groenen
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Ole Madsen
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Marta Gòdia
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
- Department of Animal Genetics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus de la Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Dominique Rocha
- Paris-Saclay University, INRAE, AgroParisTech, GABI, Jouy-en-Josas, France
| | - Mathieu Charles
- Paris-Saclay University, INRAE, AgroParisTech, GABI, SIGENAE, Jouy-en-Josas, France
| | - Cong-Jun Li
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA
| | - Hubert Pausch
- Animal Genomics, ETH Zurich, Universitaetstrasse 2, Zurich, Switzerland
| | - Xiaoxiang Hu
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Laurent Frantz
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Yonglun Luo
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Research, Qingdao, China
| | - Lin Lin
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Zhongyin Zhou
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Zhe Zhang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Zitao Chen
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Leilei Cui
- School of Life Sciences, Nanchang University, Nanchang, China
- Human Aging Research Institute and School of Life Science, Nanchang University, and Jiangxi Key Laboratory of Human Aging, Jiangxi, China
- UCL Genetics Institute, University College London, London, UK
| | - Ruidong Xiang
- Faculty of Veterinary and Agricultural Science, The University of Melbourne, Parkville, Victoria, Australia
- Agriculture Victoria, AgriBio, Centre for AgriBiosciences, Bundoora, Victoria, Australia
| | - Xia Shen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine, Fudan University, Guangzhou, China
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Pinghua Li
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Ruihua Huang
- Institute of Swine Science, Nanjing Agricultural University, Nanjing, China
| | - Guoqing Tang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Mingzhou Li
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, Sichuan Agricultural University, Chengdu, China
| | - Yunxiang Zhao
- College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Guoqiang Yi
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Zhonglin Tang
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Jicai Jiang
- Department of Animal Science, North Carolina State University, Raleigh, NC, USA
| | - Fuping Zhao
- Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xiaolong Yuan
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Xiaohong Liu
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Yaosheng Chen
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Xuewen Xu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education and College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Pengju Zhao
- Hainan Institute, Zhejiang University, Yongyou Industry Park, Yazhou Bay Sci-Tech City, Sanya, China
| | - Chris Haley
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK
| | - Huaijun Zhou
- Department of Animal Science, University of California, Davis, Davis, CA, USA
| | - Qishan Wang
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Yuchun Pan
- Department of Animal Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Xiangdong Ding
- College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Li Ma
- Department of Animal and Avian Sciences, University of Maryland, College Park, MD, USA
| | - Jiaqi Li
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China
| | - Pau Navarro
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK
| | - Qin Zhang
- College of Animal Science and Technology, Shandong Agricultural University, Tai'an, China
| | - Bingjie Li
- Scotland's Rural College (SRUC), Roslin Institute Building, Midlothian, UK
| | - Albert Tenesa
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
- The Roslin Institute, Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, UK.
| | - Kui Li
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
| | - George E Liu
- Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, USA.
| | - Zhe Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University (SCAU), Guangzhou, China.
| | - Lingzhao Fang
- Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.
- MRC Human Genetics Unit at the Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.
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12
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Jiang DL, Pan JQ, Li JQ, Zhou XL, Shen X, Xu DN, Tian YB, Huang YM. Effects of gonadotropin-inhibitory hormone on testicular development and reproduction-related gene expression in roosters. Anim Biotechnol 2023; 34:4105-4115. [PMID: 37842944 DOI: 10.1080/10495398.2023.2266645] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 09/28/2023] [Indexed: 10/17/2023]
Abstract
Gonadotropin-inhibitory hormone (GnIH) plays a crucial role in regulating reproduction in the hypothalamus of poultry and has been intensely investigated since its discovery. This study aimed to assess the effects of GnIH on testicular development, as well as on reproduction-related hormone release and gene expression levels in roosters. The administration of exogenous GnIH resulted in a significant reduction in testis weight, testis volume and semen quality (p < 0.05). Additionally, exogenous GnIH significantly up-regulates the expression of GnIH, and down-regulates the expression of PRL (p < 0.05). GnIH application also decreased the GnRH, vasoactive intestinal peptide (VIP) and luteinizing hormone β subunit(LHβ)gene expression levels. Meanwhile, by neutralizing the effects of endogenous GnIH through immunization, testicular development on day 150 in roosters was significantly promoted. Compared to the control condition, GnIH immunization significantly down-regulated the expression of the VIP and PRL genes (p < 0.05). In conclusion, we found that exogenous GnIH treatment inhibited testicular development, reduces PRL gene expression, and suppressed reproductive performance in roosters. Conversely, GnIH immunization down-regulated VIP and PRL genes, activates the reproductive system, and promotes the reproductive activity and testicular development of roosters.
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Affiliation(s)
- D L Jiang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
| | - J Q Pan
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
| | - J Q Li
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
- Technology Center of Zhanjiang Customs District, Zhanjiang, PR China
| | - X L Zhou
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
| | - X Shen
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
| | - D N Xu
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
| | - Y B Tian
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
| | - Y M Huang
- College of Animal Science & Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, PR China
- Guangdong Province Key Laboratory of Waterfowl Healthy Breeding, Guangzhou, PR China
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Shen X, Yu H, Chen K, Xue Q, Lu J, Xie Z. Association between severe preoperative hearing impairment and postoperative emergence agitation among elderly patients undergoing middle ear surgery. J Clin Anesth 2023; 91:111254. [PMID: 37689025 DOI: 10.1016/j.jclinane.2023.111254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 08/26/2023] [Accepted: 09/02/2023] [Indexed: 09/11/2023]
Abstract
BACKGROUND Hearing impairment is an established independent risk factor for delirium.Whether preoperative hearing impairment is associated with postoperative emergence agitation (POEA) in elderly patients remains unknown. This study aimed to investigate the association between preoperative hearing impairment and POEA in elderly patients undergoing ear surgery. METHODS This prospective observational study was carried out at an otologic centre in a tertiary hospital between July 15, 2020, and February 28, 2021. Data of 417 elderly patients who underwent microscopic and endoscopic middle ear surgery were analyzed. Pure tone average was used to assess preoperative hearing function, with a PTA ≥ 50 dB indicating severe hearing impairment. POEA was measured using the Richmond Agitation-Sedation Scale. Multiple logistic regression was used to determine the association between preoperative hearing function and POEA. RESULTS Of the 417 participants, 45.8% were men, and the median age was 64 (interquartile range: 62-67) years old. Severe preoperative hearing impairment was present in 113 patients (27.1%), and POEA occurred in 42 patients (10.1%). Multiple logistic regression analysis indicated that severe preoperative hearing impairment was associated with an increased risk of POEA (odds ratio: 2.031; 95% confidence interval: 1.044-3.954, P = 0.037). CONCLUSION Pending confirmative studies, these findings suggest that severe preoperative hearing impairment could serve as an independent predictor of POEA in older patients undergoing middle ear surgery. These results highlight the need for further research to better understand the biomarker and pathogenesis of POEA, leading to identification of targeted interventions of POEA and improvement of postoperative outcomes in patients.
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Affiliation(s)
- Xia Shen
- Department of Anesthesiology, Eye & ENT Hospital of Fudan University, Shanghai, PR China
| | - Huiqian Yu
- Department of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, Shanghai, PR China
| | - Kaizheng Chen
- Department of Anesthesiology, Eye & ENT Hospital of Fudan University, Shanghai, PR China
| | - Qineng Xue
- Department of Anesthesiology, Eye & ENT Hospital of Fudan University, Shanghai, PR China
| | - Jin Lu
- Department of Anesthesiology, Eye & ENT Hospital of Fudan University, Shanghai, PR China
| | - Zhongcong Xie
- Geriatric Anesthesia Research Unit, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA.
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Shen Y, Gao F, Wang Y, Wang Y, Zheng J, Gong J, Zhang J, Luo Z, Schindler D, Deng Y, Ding W, Lin T, Swidah R, Zhao H, Jiang S, Zeng C, Chen S, Chen T, Wang Y, Luo Y, Mitchell L, Bader JS, Zhang G, Shen X, Wang J, Fu X, Dai J, Boeke JD, Yang H, Xu X, Cai Y. Dissecting aneuploidy phenotypes by constructing Sc2.0 chromosome VII and SCRaMbLEing synthetic disomic yeast. Cell Genom 2023; 3:100364. [PMID: 38020968 PMCID: PMC10667312 DOI: 10.1016/j.xgen.2023.100364] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 04/03/2023] [Accepted: 07/06/2023] [Indexed: 12/01/2023]
Abstract
Aneuploidy compromises genomic stability, often leading to embryo inviability, and is frequently associated with tumorigenesis and aging. Different aneuploid chromosome stoichiometries lead to distinct transcriptomic and phenotypic changes, making it helpful to study aneuploidy in tightly controlled genetic backgrounds. By deploying the engineered SCRaMbLE (synthetic chromosome rearrangement and modification by loxP-mediated evolution) system to the newly synthesized megabase Sc2.0 chromosome VII (synVII), we constructed a synthetic disomic yeast and screened hundreds of SCRaMbLEd derivatives with diverse chromosomal rearrangements. Phenotypic characterization and multi-omics analysis revealed that fitness defects associated with aneuploidy could be restored by (1) removing most of the chromosome content or (2) modifying specific regions in the duplicated chromosome. These findings indicate that both chromosome copy number and specific chromosomal regions contribute to the aneuploidy-related phenotypes, and the synthetic chromosome resource opens new paradigms in studying aneuploidy.
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Affiliation(s)
- Yue Shen
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Feng Gao
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Yun Wang
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- University of Copenhagen, Universitetsparken 15, 2100 Copenhagen, Denmark
| | - Yuerong Wang
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ju Zheng
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | | | | | - Zhouqing Luo
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361102, China
| | - Daniel Schindler
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
- Max Planck Institute for Terrestrial Microbiology, Karl-von-Frisch-Strasse 10, 35043 Marburg, Germany
| | - Yang Deng
- BGI Research, Shenzhen 518083, China
| | - Weichao Ding
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tao Lin
- BGI Research, Shenzhen 518083, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Reem Swidah
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
| | - Hongcui Zhao
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Shuangying Jiang
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
| | - Cheng Zeng
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
| | | | - Tai Chen
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Yong Wang
- BGI Research, Shenzhen 518083, China
| | - Yisha Luo
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
| | - Leslie Mitchell
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
| | - Joel S. Bader
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Guojie Zhang
- University of Copenhagen, Universitetsparken 15, 2100 Copenhagen, Denmark
| | - Xia Shen
- Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Center for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Jian Wang
- BGI Research, Shenzhen 518083, China
| | - Xian Fu
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Junbiao Dai
- Guangdong Provincial Key Laboratory of Synthetic Genomics, Shenzhen Key Laboratory of Synthetic Genomics, Center for Synthetic Genomics, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518055, China
| | - Jef D. Boeke
- Institute for Systems Genetics and Department of Biochemistry and Molecular Pharmacology, NYU Langone Health, New York, NY 10016, USA
- Department of Biomedical Engineering, NYU Tandon School of Engineering, Brooklyn, NY 11201, USA
| | | | - Xun Xu
- BGI Research, Shenzhen 518083, China
- BGI Research, Changzhou 213299, China
- Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen 518120, China
| | - Yizhi Cai
- Manchester Institute of Biotechnology, University of Manchester, 131 Princess Street, Manchester M1 7DN, UK
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Gu X, Shen X, Chu JH, Fang TT, Jiang L. Frailty, Illness Perception and Lung Functional Exercise Adherence in Lung Cancer Patients After Thoracoscopic Surgery. Patient Prefer Adherence 2023; 17:2773-2787. [PMID: 37936716 PMCID: PMC10627072 DOI: 10.2147/ppa.s435944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 10/20/2023] [Indexed: 11/09/2023] Open
Abstract
Background Lung cancer patients will have lung damage after surgery, need rehabilitation exercise. Common-sense model has shown the impact of patients' perception of illness on health behaviors. However, for patients with lung cancer after thoracoscopic surgery, there has been no relevant exploration of disease perception. Objective The purpose of this study was to investigate the clinical status of patients with lung cancer patients who have undergone thoracoscopic surgery, and to explore the correlation between frailty, disease perception, and lung functional exercise compliance. Methods The cross-sectional study included 218 patients with lung cancer after thoracoscopic surgery. We collected participants' frailty, disease perception, exercise adherence, and relevant clinical information. T-test, Chi-square, Linear regression, Pearson's correlation, and mediation analysis were used for statistical analysis of patient data. Results We analyzed the data by disease perception with high and low median scores and found significant differences in lymphatic dissection, stool within three days, pain, thoracic drainage tube placement time. Linear regression results show that, after controlling for confounding factors, frailty and disease perception were significantly associated with pulmonary function exercise compliance. The higher the frailty score, the worse the compliance, and the higher the disease perception negative score, the less exercise. Illness perception played a partially mediating role in the association between frailty and lung functional exercise adherence. Conclusion Frailty and disease perception have an impact on exercise adherence, therefore, we need to consider these factors in the intervention to improve exercise compliance after thoracoscopic surgery for lung cancer.
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Affiliation(s)
- Xue Gu
- Wuxi School of Medicine, Jiangnan University, Wuxi, People’s Republic of China
| | - Xia Shen
- Wuxi School of Medicine, Jiangnan University, Wuxi, People’s Republic of China
| | - Jiang-Hui Chu
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiangnan University, Wuxi, People’s Republic of China
| | - Ting-Ting Fang
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiangnan University, Wuxi, People’s Republic of China
| | - Lei Jiang
- Department of Radiology, Huadong Sanatorium, Wuxi, People’s Republic of China
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Nie J, Li CH, Liu XY, Shen X, Li Y, Wang WJ, Lu YH. Dermoscopy observation of five cases of pilar sheath acanthoma and a literature review. Photodermatol Photoimmunol Photomed 2023; 39:676-678. [PMID: 37587661 DOI: 10.1111/phpp.12906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/15/2023] [Accepted: 07/29/2023] [Indexed: 08/18/2023]
Affiliation(s)
- J Nie
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - C H Li
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - X Y Liu
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - X Shen
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - Y Li
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - W J Wang
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
| | - Y H Lu
- Department of Dermatology, Chengdu Second People's Hospital, Chengdu, China
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17
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Dai Z, Peng X, Cui X, Guo Y, Zhang J, Shen X, Liu CY, Liu Y. Innovative molecular subtypes of multiple signaling pathways in colon cancer and validation of FMOD as a prognostic-related marker. J Cancer Res Clin Oncol 2023; 149:13087-13106. [PMID: 37474678 DOI: 10.1007/s00432-023-05163-6] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 07/09/2023] [Indexed: 07/22/2023]
Abstract
PURPOSE Colon cancer is highly heterogeneous in terms of the immune and stromal microenvironment, genomic integrity, and oncogenic properties; therefore, molecular subtypes of the four characteristic dimensions are expected to provide novel clues for immunotherapy of colon cancer. METHODS According to the enrichment of four dimensions, we performed consensus cluster analysis and identified three robust molecular subtypes for colon cancer, namely immune enriched, immune deficiency, and stroma enriched. We characterized and validated the immune infiltration, gene mutations, copy number variants, methylation, protein expression, and clinical features in different datasets. Finally, we developed an 8-gene risk prognostic model and proposed the innovative RiskScore. In addition, a nomogram model was constructed combining clinical characteristics and RiskScore to validate its excellent clinical predictive power. RESULTS Combining clinical patient tissue samples and histochemical microarray data, we found that high FMOD expression in tumor epithelial cells was associated with poorer patient prognosis, but FMOD expression in the mesenchyme was not associated with prognosis. In pan-cancer, RiskScore, a prognostic model constructed based on characteristic pathway scores, was a poor prognostic factor for malignancy and was negatively associated with immunotherapy response. CONCLUSION The identification of molecular subtypes could provide innovative ideas for immunotherapy of colon cancer.
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Affiliation(s)
- Zhujiang Dai
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
- Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Xiang Peng
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
- Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Xuewei Cui
- Department of Anesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Yuegui Guo
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
- Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Jie Zhang
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
| | - Xia Shen
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China
- Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Chen-Ying Liu
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.
- Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China.
| | - Yun Liu
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.
- Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China.
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18
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Zhang M, Huang Y, Pan J, Sang C, Lin Y, Dong L, Shen X, Wu Y, Song G, Ji S, Liu F, Wang M, Zheng Y, Zhang S, Wang Z, Ren J, Gao D, Zhou J, Fan J, Wei W, Lin J, Gao Q. An Inflammatory Checkpoint Generated by IL1RN Splicing Offers Therapeutic Opportunity for KRAS-Mutant Intrahepatic Cholangiocarcinoma. Cancer Discov 2023; 13:2248-2269. [PMID: 37486241 DOI: 10.1158/2159-8290.cd-23-0282] [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: 03/06/2023] [Revised: 06/30/2023] [Accepted: 07/20/2023] [Indexed: 07/25/2023]
Abstract
KRAS mutations are causally linked to protumor inflammation and are identified as driving factors in tumorigenesis. Here, using multiomics data gathered from a large set of patients, we showed that KRAS mutation was associated with a specific landscape of alternative mRNA splicing that connected to myeloid inflammation in intrahepatic cholangiocarcinoma (iCCA). Then, we identified a negative feedback mechanism in which the upregulation of interleukin 1 receptor antagonist (IL1RN)-201/203 due to alternative splicing confers vital anti-inflammatory effects in KRAS-mutant iCCA. In KRAS-mutant iCCA mice, both IL1RN-201/203 upregulation and anakinra treatment ignited a significant antitumor immune response by altering neutrophil recruitment and phenotypes. Furthermore, anakinra treatment synergistically enhanced anti-PD-1 therapy to activate intratumoral GZMB+ CD8+ T cells in KRAS-mutant iCCA mice. Clinically, we found that high IL1RN-201/203 levels in patients with KRAS-mutant iCCA were significantly associated with superior response to anti-PD-1 immunotherapy. SIGNIFICANCE This work describes a novel inflammatory checkpoint mediated by IL1RN alternative splicing variants that may serve as a promising basis to develop therapeutic options for KRAS-mutant iCCA and other cancers. This article is featured in Selected Articles from This Issue, p. 2109.
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Affiliation(s)
- Mao Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Yingying Huang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jiaomeng Pan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Chen Sang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Youpei Lin
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Liangqing Dong
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Xia Shen
- Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Yingcheng Wu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Guohe Song
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
| | - Shuyi Ji
- Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Fen Liu
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Mengcheng Wang
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Yuyan Zheng
- Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sirui Zhang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Zefeng Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Jianke Ren
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Daming Gao
- State Key Laboratory of Cell Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Wu Wei
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Lingang Laboratory, Shanghai, China
- Translational Medicine Institute of Jiangxi, The First Affiliated Hospital of Nanchang University, Jiangxi, China
| | - Jian Lin
- Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China
- Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, China
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Wang Y, Qian L, Liu ZF, Chen W, Shen X, Wu JN, Yang WX, Wang XH, Wang J, Xu YW. Safety and efficacy of ultrasonography of tension after zone II flexor tendon repair: A randomized controlled trial. J Hand Ther 2023; 36:786-795. [PMID: 37598094 DOI: 10.1016/j.jht.2023.05.012] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND Primary flexor tendon repairs of lacerations in zone II of the hand are fraught with problems. Traditionally, exercise (active and passive), orthoses, and physical agents are common interventions for the rehabilitation of patients experiencing these issues. One area of focus in this field is how to safely utilize tension to lengthen gliding distance following zone II injury. Finding effective solutions in this area is a key priority for improving patient outcomes and quality of life. PURPOSE To identify the optimal immobilization position that meets safety standards for tension and is the most efficient, and consequently, to validate our clinical effectiveness. STUDY DESIGN A cross-sectional study was adopted for the first part of the research (Research 1). A prospective, parallel, 2-group, randomized trial was conducted with concealed allocation and single blinding in the second part of the research (Research 2). METHODS A total of 60 healthy adults were recruited to select the best-fit protective immobilization position in Research 1, which was confirmed by tendon tension (via Young's modulus) and excursion (via gliding distance). We then randomly assigned 45 patients after zone II flexor tendon repair into two groups in Research 2 to compare functional outcomes. The control group underwent the conventional modified Duran protocol with early passive motion, while the experimental group received the protocol (optimized by Research 1) with early active motion. Ultrasonography was used to measure the tension and excursion of the flexor tendons. The outcomes measured at 16 weeks post-repair included total active motion, strength, the Disabilities of the Arm, Shoulder and Hand, and Strickland scores. RESULTS Three participants were unable to participate in Research 2 due to medical issues and poor attendance. The investigation found that the safe tendon threshold was 345.09 ± 87.74 kPa for partial active digital motion among the 60 participants. The optimal immobilization position requires the wrist to be neutral with a flexion angle of 30° at the metacarpophalangeal joint. The grip strengths (p = 0.012), ratio of grip strength (p = 0.015), the Disabilities of the Arm, Shoulder and Hand (p = 0.036), and total active motion (p = 0.023) differed significantly between the two groups. CONCLUSIONS Protective immobilization of the wrist in a neutral flexion position and with the metacarpophalangeal joint flexed at 30° can secure the repaired flexor tendon safely and efficiently. The effects of an early active motion protocol may improve the grip strength and upper limb mobility of individuals after zone II flexor tendon repair. CLINICAL TRIAL REGISTRATION ChiCTR2000030592.
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Affiliation(s)
- Ying Wang
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China
| | - Lei Qian
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China
| | - Zhen-Feng Liu
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China
| | - Wei Chen
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China
| | - Xia Shen
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China
| | - Jia-Ni Wu
- Sports Rehabilitation, Soochow University, Suzhou, China
| | - Wei-Xiang Yang
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China
| | - Xin-Hao Wang
- Department of Rehabilitation and Health Care, Wuxi Vocational and Technology College: Wuxi Institute of Technology, Wuxi, China
| | - Jun Wang
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China.
| | - Yan-Wen Xu
- Department of Rehabilitation, Wuxi 9th People's Hospital Affiliated to Soochow University, Wuxi, China.
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20
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Zhou X, Jin L, Li Y, Wang Y, Li W, Shen X. Comprehensive analysis of N6-methyladenosine-related RNA methylation in the mouse hippocampus after acquired hearing loss. BMC Genomics 2023; 24:577. [PMID: 37759187 PMCID: PMC10537436 DOI: 10.1186/s12864-023-09697-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/22/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND The mechanism underlying cognitive impairment after hearing loss (HL) remains unclear. N6-methyladenosine (m6A) is involved in many neurodegenerative diseases; however, its role in cognitive impairment after HL has not yet been investigated. Therefore, we aimed to analyze the m6A modification profile of the mouse hippocampus after HL exposure. A mouse model of neomycin-induced HL was established. An auditory brainstem-response test was utilized for detecting hearing threshold. The passive avoidance test was served as the mean for evaluating cognitive function. The m6A-regulated enzyme expression levels were analyzed by using reverse transcription quantitative real-time polymerase chain reaction and western blot analyses. RNA sequencing (RNA-Seq) and methylated RNA immunoprecipitation sequencing (MeRIP-Seq) were performed with the aim of investigating gene expression differences and m6A modification in the mouse hippocampus. RESULTS Neomycin administration induced severe HL in mice. At four months of age, the mice in the HL group showed poorer cognitive performance than the mice in the control group. METTL14, WTAP, and YTHDF2 mRNA levels were downregulated in the hippocampi of HL mice, whereas ALKBH5 and FTO mRNA levels were significantly upregulated. At the protein level, METTL3 and FTO were significantly upregulated. Methylated RNA immunoprecipitation sequencing analysis revealed 387 and 361 m6A hypermethylation and hypomethylation peaks, respectively. Moreover, combined analysis of mRNA expression levels and m6A peaks revealed eight mRNAs with significantly changed expression levels and methylation. CONCLUSIONS Our findings revealed the m6A transcriptome-wide profile in the hippocampus of HL mice, which may provide a basis for understanding the association between HL and cognitive impairment from the perspective of epigenetic modifications.
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Affiliation(s)
- Xuehua Zhou
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, 200031, Shanghai, China
| | - Lin Jin
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, 200031, Shanghai, China
| | - Yufeng Li
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, 200031, Shanghai, China
| | - Yiru Wang
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, 200031, Shanghai, China
| | - Wen Li
- ENT Institute, Department of Otorhinolaryngology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, 200031, Shanghai, China
| | - Xia Shen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, 83 Fenyang Road, 200031, Shanghai, China.
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21
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Liu W, Wang Y, Chen K, Ye M, Lu W, Chen K, Shen X. Effect of Intraoperative Dexmedetomidine Use on Postoperative Delirium in the Elderly After Laryngectomy: A Randomized Controlled Clinical Trial. Drug Des Devel Ther 2023; 17:2933-2941. [PMID: 37766822 PMCID: PMC10521928 DOI: 10.2147/dddt.s424526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 09/15/2023] [Indexed: 09/29/2023] Open
Abstract
Purpose To examine whether intraoperative dexmedetomidine reduces postoperative delirium (POD) in elderly patients who underwent a laryngectomy. Methods Patients were randomly assigned to receive dexmedetomidine or a saline placebo infused during surgery. The study period was July 2020 to January 2022. Participants were elderly individuals (≥65 years) who underwent a laryngectomy. Immediately after induction of anesthesia, a 0.5 μg.kg-1 bolus of study solution was administered for 10 min, followed by a maintenance infusion of 0.2 μg.kg-1.hr-1 until the end of surgery. Patients were assessed daily for POD (primary outcome). Plasma inflammatory factors were measured at baseline, on the first postoperative day, and on the third postoperative day. Results In total, 304 male patients were randomized; 299 patients [median (interquartile range) age, 69.0 (67.0-73.0) years] completed in-hospital delirium assessments. There was no difference in the incidence of POD between the dexmedetomidine and control groups (21.3% [32 of 150] vs 24.2% [36 of 149], P=0.560). However, dexmedetomidine reduced POD in patients with laryngeal cancer and a higher tumor stage (21.6% vs 38.5%; OR, 0.441; 95% CI, 0.209-0.979; P=0.039). Dexmedetomidine reduced levels of C-reactive protein (CRP) (P=0.0056) and interleukin 6 (IL-6) (P<0.001) on the first and third postoperative days, respectively. More patients had intraoperative hypotension in the dexmedetomidine group (29.3% [44 of 150] vs 17.4% [26 of 149], P=0.015). Conclusion Intraoperative dexmedetomidine administration did not prevent POD in patients with laryngeal cancer. Dexmedetomidine reduced serum CRP and IL-6 levels postoperatively but caused a higher occurrence of intraoperative hypotension in elderly patients after a laryngectomy.
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Affiliation(s)
- Weiwei Liu
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, People’s Republic of China
| | - Yiru Wang
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, People’s Republic of China
| | - Kaizheng Chen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, People’s Republic of China
| | - Min Ye
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, People’s Republic of China
| | - Weisha Lu
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, People’s Republic of China
| | - Keyu Chen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, People’s Republic of China
| | - Xia Shen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, 200031, People’s Republic of China
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Wang Y, Shen X, Wang P. Constipation is associated with depression of any severity, but not with suicidal ideation: insights from a large cross-sectional study. Int J Colorectal Dis 2023; 38:231. [PMID: 37713119 DOI: 10.1007/s00384-023-04520-8] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/08/2023] [Indexed: 09/16/2023]
Abstract
OBJECTIVE The association between constipation and depression or suicidal ideation (SI) has not been adequately studied. This study aims to examine whether constipation is associated with depression or SI in US adults. METHOD 4,562 adults aged 20 and older were selected from the National Health and Nutrition Examination Survey 2009-2010 for the sample. The Bowel Health Questionnaire provided constipation information. Clinical depression and depression severity were assessed by the validated Patient Health Questionnaide-9 (PHQ-9), and item 9 of the PHQ-9 assessed SI. Adjusted odds ratios (ORs) were calculated using multivariate logistic regression models. Stability of the results was ensured by a subgroup analysis. RESULT After adjusting for covariates such as demographics, risk behaviors, associated comorbidities, dietary intake, and related medications, the PHQ-9 score and clinical depression were both significantly associated with constipation, with ORs and 95%CIs of 1.13 (1.10-1.16) and 3.76 (2.65-5.34). Depression of all severities was also significantly associated with constipation. The ORs and 95%CIs of constipation with mild depression, moderate depression, and moderately severe to severe depression were 2.21 (1.54-3.16), 3.69 (2.34-5.81) and 6.84 (4.19-11.15), respectively. Subgroup analyses showed no statistically significant interactions (P > 0.05), and the association was stronger in men than in women (OR: 7.81, 95%CI: 3.67-16.61 vs OR: 3.46, 95%CI: 2.31-5.19). The association between constipation and SI was not significant (OR: 1.36, 95%CI: 0.78-2.37). CONCLUSION In conclusion, constipation was significantly associated with depression of any severity, but not with SI, suggesting that enough attention should be paid to the emotional and psychological status of patients with constipation, especially male patients.
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Affiliation(s)
- Yan Wang
- Department of Oncology, China Academy of Chinese Medical Sciences Guang' Anmen Hospital, Beijing, 100053, China
| | - Xia Shen
- Department of Nursing, Wuxi Medical College, Jiangnan University, 1800 Li Hu Avenue, Wuxi, 214062, China
| | - Pengfei Wang
- Department of Anorectal Surgery, China Academy of Chinese Medical Sciences Xiyuan Hospital, Beijing, 100091, China.
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Wang P, Shen X, Wang Y, Jia X. Association between constipation and major depression in adult Americans: evidence from NHANES 2005-2010. Front Psychiatry 2023; 14:1152435. [PMID: 37654986 PMCID: PMC10465693 DOI: 10.3389/fpsyt.2023.1152435] [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: 01/27/2023] [Accepted: 08/02/2023] [Indexed: 09/02/2023] Open
Abstract
Objective Current studies on the association between constipation and depression is still insufficient. In this study, we investigated the detailed association between constipation and major depression among American adults. Methods In this cross-sectional study, 12,352 adults aged 20 and older were selected from the National Health and Nutrition Examination Survey 2005-2010 for the sample. Constipation was defined as fewer than three defecation frequencies per week. For the assessment of major depression, the validated Patient Health Questionnaire-9 was used. Adjusted odds ratios (ORs) were calculated using multivariate logistic regression models. A subgroup analysis was carried out to ensure that the results were stable. Results Of the 12,352 participants, 430 reported constipation, with a prevalence of 3.5%. Depression was reported in 1030 cases, indicating a prevalence rate of 8.3%. Patients with constipation were significantly more likely to have major depression (20.9%) than those without it (7.9%, p < 0.001). After adjusting for age, sex, race/ethnicity, marital status, education level, body mass index, vigorous physical activity, alcohol consumption, smoking status, poverty income ratio, diabetes, selective serotonin reuptake inhibitor use, liver disease, heart disease, pulmonary disease, hypertension, arthritis, cancer, dietary fiber intake, moisture intake, total fat intake, carbohydrates intake, and protein intake, constipation is significantly associated with major depression (OR: 2.20, 95%CI: 1.68-2.87, p < 0.001). Subgroup analyses by age, sex, dietary intake, risk behaviors, and common complications showed no statistically significant interactions (p > 0.05). Conclusion In conclusion, this study showed that constipation were significantly associated with depression. When treating patients with constipation, it is necessary for clinicians to screen and evaluate depression, and provide timely and effective intervention for patients with depression to avoid further deterioration of the condition.
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Affiliation(s)
- Pengfei Wang
- Department of Anorectal Surgery, China Academy of Chinese Medical Sciences Xiyuan Hospital, Beijing, China
| | - Xia Shen
- Department of Nursing, Wuxi Medical College, Jiangnan University, Wuxi, China
| | - Yan Wang
- Department of Oncology, China Academy of Chinese Medical Sciences Guang’anmen Hospital, Beijing, China
| | - Xiaoqiang Jia
- Department of Anorectal Surgery, China Academy of Chinese Medical Sciences Xiyuan Hospital, Beijing, China
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Wang YT, Peng WJ, Su HL, Rao LX, Wang WB, Shen X. [Spatial-temporal characteristics and influencing factors of pulmonary tuberculosis cases in Shanghai from 2013 to 2020]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1231-1236. [PMID: 37661614 DOI: 10.3760/cma.j.cn112338-20221128-01006] [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: 09/05/2023]
Abstract
Objective: To use the spatiotemporal distribution model and INLA algorithm to study the spatiotemporal characteristics and influencing factors of tuberculosis in Shanghai and to provide a theoretical basis for formulating regional tuberculosis epidemic prevention and control measures. Methods: Based on the data of registered pulmonary tuberculosis cases in Shanghai during 2013-2020 derived from the tuberculosis management information system of China Disease Control and Prevention Information System, the hierarchical Bayesian model was adopted to fit the tuberculosis case data, identify the spatiotemporal variation characteristics of tuberculosis, and explore the potential socioeconomic characteristics and other factors related to health services and spatiotemporal characteristics. Results: From 2013 to 2020, 29 281 registered tuberculosis cases were reported in Shanghai, with an average annual incidence of 25.224/100 000. From 2013 to 2020, the incidence trend increased first and then decreased, the highest incidence was reported in 2014 (27.991/100 000). The incidence of tuberculosis in Shanghai is characterized by spatial clustering. Through the spatial characteristics and risk analysis of the reported incidence of tuberculosis, it is found that the high-risk area of tuberculosis in Shanghai is the suburban communities, whereas downtown communities are the low-risk areas. The incidence risk of pulmonary tuberculosis is associated with the gross domestic product per capita (RR=0.48), the number of beds per 10 000 persons (RR=0.56), the normalized vegetation index (RR=0.50), and the night light index (RR=0.80). Conclusions: With the steady progress of tuberculosis prevention and control in the central urban area of Shanghai, special attention should be paid to the prevention and control in the suburbs further to improve the social and economic level in the suburbs and increase the coverage rate of urban green space, to reduce the incidence of tuberculosis and reduce the disease burden of tuberculosis in Shanghai.
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Affiliation(s)
- Y T Wang
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - W J Peng
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - H L Su
- Minhang District Center for Disease Control and Prevention of Shanghai, Shanghai 201101, China
| | - L X Rao
- Shanghai Center for Disease Control and Prevention, Shanghai 200336, China
| | - W B Wang
- Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - X Shen
- Shanghai Center for Disease Control and Prevention, Shanghai 200336, China
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Lambert H, Shen X, Chai J, Cheng J, Feng R, Chen M, Cabral C, Oliver I, Shen J, MacGowan A, Bowker K, Hickman M, Kadetz P, Zhao L, Pan Y, Kwiatkowska R, Hu X, Wang D. Prevalence, drivers and surveillance of antibiotic resistance and antibiotic use in rural China: Interdisciplinary study. PLOS Glob Public Health 2023; 3:e0001232. [PMID: 37556412 PMCID: PMC10411760 DOI: 10.1371/journal.pgph.0001232] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 05/22/2023] [Indexed: 08/11/2023]
Abstract
This study aimed to characterise antibiotic prescribing and dispensing patterns in rural health facilities in China and determine the community prevalence of antibiotic resistance. We investigated patterns and drivers of antibiotic use for common respiratory and urinary tract infections (RTI/UTI) in community settings, examined relationships between presenting symptoms, clinical diagnosis and microbiological results in rural outpatient clinics, and assessed potential for using patient records to monitor antibiotic use. This interdisciplinary mixed methods study included: (i) Observations and exit interviews in eight village clinics and township health centres and 15 retail pharmacies; (ii) Urine, throat swab and sputum samples from patients to identify potential pathogens and test susceptibility; (iii) 103 semi-structured interviews with doctors, patients, pharmacy workers and antibiotic-purchasing customers; (iv) Assessment of completeness and accuracy of electronic patient records through comparison with observational data. 87.9% of 1123 recruited clinic patients were prescribed antibiotics (of which 35.5% contained antibiotic combinations and >40% were for intravenous administration), most of whom had RTIs. Antibiotic prescribing for RTIs was not associated with presence of bacterial pathogens but was correlated with longer duration of infection (OR = 3.33) and presence of sore throat (OR = 1.64). Fever strongly predicted prescription of intravenous antibiotics (OR = 2.87). Resistance rates in bacterial pathogens isolated were low compared with national data. 25.8% of patients reported antibiotics use prior to their clinic visit, but only 56.2% of clinic patients and 53% of pharmacy customers could confirm their prescription or purchase included antibiotics. Diagnostic uncertainty, financial incentives, understanding of antibiotics as anti-inflammatory and limited doctor-patient communication were identified as key drivers of antibiotic use. Completion and accuracy of electronic patient records were highly variable. Prevalence of antibiotic resistance in this rural population is relatively low despite high levels of antibiotic prescribing and self-medication. More systematic use of e-records and in-service training could improve antibiotic surveillance and stewardship in rural facilities. Combining qualitative and observational anthropological methods and concepts with microbiological and epidemiological investigation of antibiotic resistance at both research design and analytic synthesis stages substantially increases the validity of research findings and their utility in informing future intervention development.
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Affiliation(s)
- H. Lambert
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - X. Shen
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - J. Chai
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - J. Cheng
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - R. Feng
- Library Department of Literature Retrieval and Analysis, Anhui Medical University, Hefei, China
| | - M. Chen
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - C. Cabral
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - I. Oliver
- Field Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom
| | - J. Shen
- Fourth Affiliated Hospital of Anhui Medical University, Hefei, China
| | - A. MacGowan
- Severn Pathology, North Bristol NHS Trust, Bristol, United Kingdom
| | - K. Bowker
- Severn Pathology, North Bristol NHS Trust, Bristol, United Kingdom
| | - M. Hickman
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - P. Kadetz
- Institute for Global Health and Development, Queen Margaret University, Edinburgh, United Kingdom
| | - L. Zhao
- School of Health Services Management, Anhui Medical University, Hefei, China
| | - Y. Pan
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - R. Kwiatkowska
- Field Service, National Infection Service, UK Health Security Agency, Bristol, United Kingdom
| | - X. Hu
- Anhui Provincial Hospital, Hefei, China
| | - D. Wang
- School of Health Services Management, Anhui Medical University, Hefei, China
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26
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Kong X, Shen X, Yang L, Liu Y, Gu X, Kong Y. Dietary protein intake affects the association between urinary iodine and clinically relevant depression: Evidence from NHANES 2007-2018. Food Sci Nutr 2023; 11:4665-4677. [PMID: 37576051 PMCID: PMC10420777 DOI: 10.1002/fsn3.3429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 04/26/2023] [Accepted: 05/03/2023] [Indexed: 08/15/2023] Open
Abstract
Both iodine concentration and protein intake are important nutritional factors that may influence the development of depressive symptoms. However, there are no studies on the effect of protein intake on the relationship between iodine concentration and the risk of depression. The study aimed to explore the relationship between iodine and the risk of clinically relevant depression (CRD) according to protein intake. This study analyzed the adults (≥18 years) who participated in the 2007-2018 National Health and Nutrition Cross-sectional Survey (N = 10,462). CRD was assessed using the Patient Health Questionnaire (PHQ-9). Protein intake was assessed using two 24-h dietary recalls and urinary iodine concentration (UIC) was measured using inductively coupled plasma dynamic response cell mass spectrometry. Weighted multivariate logistic regression and restrictive cubic splines were performed to assess the relationship between UIC and CRD according to protein category (low protein intake <0.8 g/kg/day; high protein intake: ≥0.8 g/kg/day). After controlling for sociodemographic, behavioral, chronic diseases, and dietary factors, a positive correlation was observed between UIC (log10) and CRD (OR: 1.36, 95% CI: 1.026, 1.795). Low UIC (<100 μg/L) was associated with a lower prevalence of CRD (OR: 0.73, 95% CI: 0.533, 0.995) in high protein intake individuals, whereas this relationship did not exist in those with low protein intake. Moreover, restrictive cubic splines confirmed a near L-shaped relationship between UIC and CRD in the low-protein group (nonlinear p = .042) and a linear relationship between them in the high-protein group (nonlinear p = .392). This study illustrates that protein intake affects the relationship between UIC and CRD. Combining lower UIC and high protein intake may help reduce the prevalence of CRD, which would have significant implications for managing patients with depressive CRD in the clinical setting.
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Affiliation(s)
- Xue Kong
- Department of Laboratory MedicineThe Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical UniversityWuxiChina
| | - Xia Shen
- Department of Nursing, Wuxi Medical CollegeJiangnan UniversityWuxiChina
| | - Long Yang
- College of PediatricsXinjiang Medical UniversityUrumqiChina
| | - Yuan‐Yuan Liu
- Department of Nursing, Wuxi Medical CollegeJiangnan UniversityWuxiChina
| | - Xue Gu
- Department of Nursing, Wuxi Medical CollegeJiangnan UniversityWuxiChina
| | - Yan Kong
- Department of Radiation OncologyAffiliated Hospital of Jiangnan UniversityWuxiChina
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Shen X, Yang L, Liu YY, Jiang L, Huang JF. Association between dietary niacin intake and cognitive function in the elderly: Evidence from NHANES 2011-2014. Food Sci Nutr 2023; 11:4651-4664. [PMID: 37576033 PMCID: PMC10420858 DOI: 10.1002/fsn3.3428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 04/26/2023] [Accepted: 05/04/2023] [Indexed: 08/15/2023] Open
Abstract
Recent studies have shown an inconsistent association between dietary niacin and cognitive function. And this remains unclear in the American outpatient population. The aim of this study was to assess whether there is an association between dietary niacin and cognitive performance in an older American population aged ≥60 years. A total of 2523 participants from the National Health and Nutrition Examination Survey (NHANES) 2011-2014 were enrolled. Cognitive function was assessed by the CERAD Word Learning (CERAD-WL) test, the CERAD Delayed Recall (CERAD-DR) test, the Animal Fluency test (AFT), and the Digit Symbol Substitution test (DSST). Cognitive impairment that meets one of the four scoring conditions listed above is defined as low cognitive function. Dietary niacin intake was obtained from 2 days of a 24-h recall questionnaire. Based on the quartiles of dietary niacin intake, they were divided into four groups: Q1 (<15.51 mg), Q2 (15.51-20.68 mg), Q3 (20.69-26.90 mg), and Q4 (>26.91 mg). The stability of the results was assessed using multifactorial logistic regression, restricted cubic spline (RCS) models, and sensitivity stratified analysis. More than half of the participants had cognitive impairment (52.52%). In the fully adjusted model, niacin was associated with a significantly reduced risk of cognitive impairment in Q3 and Q4 compared with the Q1 group (OR: 0.610, 95% CI: 0.403, 0.921, p = .022; OR: 0.592, 95% CI: 0.367, 0.954, p = .034). Meanwhile, niacin was negatively associated with poor cognition as assessed by the CERAD-WL test, CERAD test, AFT, and DSST. An L-shaped dose-response relationship between dietary niacin and cognitive function was observed in all participants (nonlinear p < .001). There were also interactions that existed in populations with different carbohydrate intakes and cholesterol intakes (p for interaction = .031, p for interaction = .005). These findings provide new evidence for the potential role of dietary niacin intake on cognitive function in the elderly.
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Affiliation(s)
- Xia Shen
- Department of NursingAffiliated Hospital of Jiangnan UniversityWuxiChina
- Department of Nursing, Wuxi Medical CollegeJiangnan UniversityWuxiChina
| | - Long Yang
- College of PediatricsXinjiang Medical UniversityUrumqiChina
| | - Yuan Yuan Liu
- Department of NursingAffiliated Hospital of Jiangnan UniversityWuxiChina
- Department of Nursing, Wuxi Medical CollegeJiangnan UniversityWuxiChina
| | - Lei Jiang
- Department of RadiologyThe Convalescent Hospital of East ChinaWuxiChina
| | - Jian Feng Huang
- Department of Radiation OncologyAffiliated Hospital of Jiangnan UniversityWuxiChina
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28
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Li S, Shen X, Qin XX, Fang S, Chen J, Yang HJ. Analysis of the factors influencing male infertility of reproductive age in Jinan. Eur Rev Med Pharmacol Sci 2023; 27:7092-7100. [PMID: 37606119 DOI: 10.26355/eurrev_202308_33282] [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: 08/23/2023]
Abstract
OBJECTIVE The World Health Organization (WHO) defines infertility as a person failing to achieve a pregnancy after 12 months or more of regular unprotected sexual intercourse. Infertility includes female infertility and male infertility. The aim of this paper is to study the etiology of infertility and related influencing factors in men of reproductive age in Jinan. PATIENTS AND METHODS In this study, 172 male infertile patients who attended the Department of Assisted Reproduction of Shandong Provincial Maternal and Child Health Hospital in Shandong, China and the Infertility Clinic of Jinan Central Hospital in Shandong, China from August 2021 to April 2022 are selected as the study population (infertility group). A convenience sampling method is used to select 257 men from couples attending the Obstetrics Department of Qilu Hospital in Shandong, China, the Obstetrics Department of the Second Hospital of Shandong University in Shandong, China, and the Obstetrics Department of Maternal and Child Health Hospital in Shandong, China from October 2021 to February 2022 as the study subjects (control group). A self-designed questionnaire is used to conduct the survey, which includes basic personal information, lifestyle information, marital and family-related information, and one-way and multi-way logistic regression analyses are performed. RESULTS The average age of the case group and the control group are 34.03±5.13 years old and 33.61±8.18 years old; the average height is 175.80±5.91 cm and 176.78±5.25 cm; the average weight is 80.28±14.70 kg and 83.09±45.36 kg. The differences in age, height, and weight between the case group and the control group are not statistically significant by t-test. Moderate oligospermia is the predominant cause of infertility in men of reproductive age in Jinan. A multifactorial logistic regression analysis yields that academic qualifications (OR=2.518, 95% CI: 1.023 to 6.196), coffee consumption (OR=7.692, 95% CI: 1.623 to 36.460), living in a room that had been renovated within a period of time (OR=2.769, 95% CI: 1.104 to 6.949), stress level (OR=47.280, 95% CI: 23.656-94.494), quality of sexual life (OR=3.352, 95% CI: 1.331-8.442), and duration of couple separation (OR=3.851, 95% CI: 1.094-13.557) are the main risk factors for infertility in men of reproductive age in Jinan. CONCLUSIONS In this study, a total of 6 risk factors are screened for male infertility in Jinan in the reproductive age, including high academic qualifications, coffee consumption, living in a room that has finished renovation within 3 months, high stress, poor quality of sexual life, and long spousal separation. Three factors can be controlled, avoided, or reduced through personal actions; the factors are coffee consumption, living in a room that has finished renovation within 3 months, and high stress, all of which may reduce the level of male reproductive health.
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Affiliation(s)
- S Li
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.
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29
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Yuan S, Li Y, Wang L, Xu F, Chen J, Levin MG, Xiong Y, Voight BF, Damrauer SM, Gill D, Burgess S, Åkesson A, Michaëlsson K, Li X, Shen X, Larsson SC. Deciphering the genetic architecture of atrial fibrillation offers insights into disease prediction, pathophysiology and downstream sequelae. medRxiv 2023:2023.07.20.23292938. [PMID: 37546828 PMCID: PMC10402218 DOI: 10.1101/2023.07.20.23292938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Aims The study aimed to discover novel genetic loci for atrial fibrillation (AF), explore the shared genetic etiologies between AF and other cardiovascular and cardiometabolic traits, and uncover AF pathogenesis using Mendelian randomization analysis. Methods and results We conducted a genome-wide association study meta-analysis including 109,787 AF cases and 1,165,920 controls of European ancestry and identified 215 loci, among which 91 were novel. We performed Genomic Structural Equation Modeling analysis between AF and four cardiovascular comorbidities (coronary artery disease, ischemic stroke, heart failure, and vneous thromboembolism) and found 189 loci shared across these diseases as well as a universal genetic locus shared by atherosclerotic outcomes (i.e., rs1537373 near CDKN2B). Three genetic loci (rs10740129 near JMJD1C, rs2370982 near NRXN3, and rs9931494 near FTO) were associated with AF and cardiometabolic traits. A polygenic risk score derived from this genome-wide meta-analysis was associated with AF risk (odds ratio 2.36, 95% confidence interval 2.31-2.41 per standard deviation increase) in the UK biobank. This score, combined with age, sex, and basic clinical features, predicted AF risk (AUC 0.784, 95% CI 0.781-0.787) in Europeans. Phenome-wide association analysis of the polygenic risk score identified many AF-related comorbidities of the circulatory, endocrine, and respiratory systems. Phenome-wide and multi-omic Mendelian randomization analyses identified associations of blood lipids and pressure, diabetes, insomnia, obesity, short sleep, and smoking, 27 blood proteins, one gut microbe (genus.Catenibacterium), and 11 blood metabolites with risk to AF. Conclusions This genome-wide association study and trans-omic Mendelian randomization analysis provides insights into disease risk prediction, pathophysiology and downstream sequelae.
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Affiliation(s)
- Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yuying Li
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lijuan Wang
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fengzhe Xu
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China
| | - Jie Chen
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Michael G Levin
- Division of Cardiovascular Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Ying Xiong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Benjamin F. Voight
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Institute of Translational Medicine and Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Scott M Damrauer
- Corporal Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
- Department of Surgery, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Agneta Åkesson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Karl Michaëlsson
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Xue Li
- School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xia Shen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Susanna C. Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
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30
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Hu J, Jin L, Wang Y, Shen X. Feasibility of challenging treadmill speed-dependent gait and perturbation-induced balance training in chronic stroke patients with low ambulation ability: a randomized controlled trial. Front Neurol 2023; 14:1167261. [PMID: 37528855 PMCID: PMC10389716 DOI: 10.3389/fneur.2023.1167261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/21/2023] [Indexed: 08/03/2023] Open
Abstract
Background Treadmill training shows advantages in the specificity, amount, and intensity of gait and balance practice for the rehabilitation of stroke patients. Objective To investigate the feasibility and effectiveness of challenging treadmill speed-dependent gait and perturbation-induced balance training in chronic stroke patients with low ambulation ability. Methods For this randomized controlled trial (Chinese Clinical Trials.gov registration number ChiCTR-IOR-16009536) with blinded testers, we recruited 33 ambulatory stroke participants with restricted community ambulation capacity and randomly assigned them into two groups: the experimental group with 2 week treadmill speed-dependent gait training combined with 2 week treadmill perturbation-induced balance training (EXP) or the control group with traditional gait and balance training (CON). Various variables were recorded during EXP training, including the rating of perceived exertion, heart rate, causes of pauses, treadmill speed, and perturbation intensity. Outcome measures were examined before training and at 2 and 4 weeks after training. They included gait velocity during five-meter walk test at comfortable and fast speed and reactive balance ability in the compensatory stepping test as primary outcome measures, as well as dynamic balance ability (timed up-and-go test and 5 times sit-to-stand test) and balance confidence as secondary outcome measures. Results All participants completed the study. The treadmill speed and perturbation intensity significantly increased across training sessions in the EXP group, and no adverse effects occurred. The normal and fast gait velocities showed significant time and group interaction effects. They significantly increased after 2 and 4 weeks of training in the EXP group (p < 0.05) but not in the CON group (p > 0.05). Likewise, dynamic balance ability measured using the timed up-and-go test at a fast speed significantly improved after 2 and 4 weeks of training in the EXP group (p < 0.05) but not in the CON group (p > 0.05), although without a significant time and group interaction effect. Surprisingly, the reactive balance ability did not show improvement after treatment in the EXP group (p > 0.05). Conclusion Challenging treadmill speed-dependent gait and treadmill perturbation-induced balance training is feasible and effective to improve ambulation function in chronic stroke patients with low ambulation ability.
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Affiliation(s)
- Jia Hu
- Medical Education Department, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Medical Education Department, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Yubing Wang
- Rehabilitation Medicine Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Xia Shen
- Rehabilitation Medicine Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Department of Rehabilitation Sciences, Tongji University School of Medicine, Shanghai, China
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31
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Angelopoulos V, Zhang XJ, Artemyev AV, Mourenas D, Tsai E, Wilkins C, Runov A, Liu J, Turner DL, Li W, Khurana K, Wirz RE, Sergeev VA, Meng X, Wu J, Hartinger MD, Raita T, Shen Y, An X, Shi X, Bashir MF, Shen X, Gan L, Qin M, Capannolo L, Ma Q, Russell CL, Masongsong EV, Caron R, He I, Iglesias L, Jha S, King J, Kumar S, Le K, Mao J, McDermott A, Nguyen K, Norris A, Palla A, Roosnovo A, Tam J, Xie E, Yap RC, Ye S, Young C, Adair LA, Shaffer C, Chung M, Cruce P, Lawson M, Leneman D, Allen M, Anderson M, Arreola-Zamora M, Artinger J, Asher J, Branchevsky D, Cliffe M, Colton K, Costello C, Depe D, Domae BW, Eldin S, Fitzgibbon L, Flemming A, Frederick DM, Gilbert A, Hesford B, Krieger R, Lian K, McKinney E, Miller JP, Pedersen C, Qu Z, Rozario R, Rubly M, Seaton R, Subramanian A, Sundin SR, Tan A, Thomlinson D, Turner W, Wing G, Wong C, Zarifian A. Energetic Electron Precipitation Driven by Electromagnetic Ion Cyclotron Waves from ELFIN's Low Altitude Perspective. Space Sci Rev 2023; 219:37. [PMID: 37448777 PMCID: PMC10335998 DOI: 10.1007/s11214-023-00984-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 06/28/2023] [Indexed: 07/15/2023]
Abstract
We review comprehensive observations of electromagnetic ion cyclotron (EMIC) wave-driven energetic electron precipitation using data collected by the energetic electron detector on the Electron Losses and Fields InvestigatioN (ELFIN) mission, two polar-orbiting low-altitude spinning CubeSats, measuring 50-5000 keV electrons with good pitch-angle and energy resolution. EMIC wave-driven precipitation exhibits a distinct signature in energy-spectrograms of the precipitating-to-trapped flux ratio: peaks at >0.5 MeV which are abrupt (bursty) (lasting ∼17 s, or Δ L ∼ 0.56 ) with significant substructure (occasionally down to sub-second timescale). We attribute the bursty nature of the precipitation to the spatial extent and structuredness of the wave field at the equator. Multiple ELFIN passes over the same MLT sector allow us to study the spatial and temporal evolution of the EMIC wave - electron interaction region. Case studies employing conjugate ground-based or equatorial observations of the EMIC waves reveal that the energy of moderate and strong precipitation at ELFIN approximately agrees with theoretical expectations for cyclotron resonant interactions in a cold plasma. Using multiple years of ELFIN data uniformly distributed in local time, we assemble a statistical database of ∼50 events of strong EMIC wave-driven precipitation. Most reside at L ∼ 5 - 7 at dusk, while a smaller subset exists at L ∼ 8 - 12 at post-midnight. The energies of the peak-precipitation ratio and of the half-peak precipitation ratio (our proxy for the minimum resonance energy) exhibit an L -shell dependence in good agreement with theoretical estimates based on prior statistical observations of EMIC wave power spectra. The precipitation ratio's spectral shape for the most intense events has an exponential falloff away from the peak (i.e., on either side of ∼ 1.45 MeV). It too agrees well with quasi-linear diffusion theory based on prior statistics of wave spectra. It should be noted though that this diffusive treatment likely includes effects from nonlinear resonant interactions (especially at high energies) and nonresonant effects from sharp wave packet edges (at low energies). Sub-MeV electron precipitation observed concurrently with strong EMIC wave-driven >1 MeV precipitation has a spectral shape that is consistent with efficient pitch-angle scattering down to ∼ 200-300 keV by much less intense higher frequency EMIC waves at dusk (where such waves are most frequent). At ∼100 keV, whistler-mode chorus may be implicated in concurrent precipitation. These results confirm the critical role of EMIC waves in driving relativistic electron losses. Nonlinear effects may abound and require further investigation.
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Affiliation(s)
- V. Angelopoulos
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - X.-J. Zhang
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: University of Texas at Dallas, Richardson, TX 75080 USA
| | - A. V. Artemyev
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | | | - E. Tsai
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - C. Wilkins
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - A. Runov
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - J. Liu
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Atmospheric and Oceanic Sciences Departments, University of California, Los Angeles, CA USA
| | - D. L. Turner
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland USA
| | - W. Li
- Atmospheric and Oceanic Sciences Departments, University of California, Los Angeles, CA USA
| | - K. Khurana
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - R. E. Wirz
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: School of Mechanical, Industrial, and Manufacturing Engineering, Oregon State University, Corvallis, OR 97331 USA
| | - V. A. Sergeev
- University of St. Petersburg, St. Petersburg, Russia
| | - X. Meng
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 USA
| | - J. Wu
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - M. D. Hartinger
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Space Science Institute, Boulder, CO 80301 USA
| | - T. Raita
- Sodankylä Geophysical Observatory, University of Oulu, Sodankylä, Finland
| | - Y. Shen
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - X. An
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - X. Shi
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - M. F. Bashir
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - X. Shen
- Department of Astronomy and Center for Space Physics, Boston University, Boston, MA USA
| | - L. Gan
- Department of Astronomy and Center for Space Physics, Boston University, Boston, MA USA
| | - M. Qin
- Department of Astronomy and Center for Space Physics, Boston University, Boston, MA USA
| | - L. Capannolo
- Department of Astronomy and Center for Space Physics, Boston University, Boston, MA USA
| | - Q. Ma
- Department of Astronomy and Center for Space Physics, Boston University, Boston, MA USA
| | - C. L. Russell
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - E. V. Masongsong
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - R. Caron
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - I. He
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Materials Science and Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - L. Iglesias
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Deloitte Consulting, New York, NY 10112 USA
| | - S. Jha
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Microsoft, Redmond, WA 98052 USA
| | - J. King
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - S. Kumar
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Physics and Astronomy Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Department of Astronomy and Astrophysics, The University of Chicago, Chicago, IL 60637 USA
| | - K. Le
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Materials Science and Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - J. Mao
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Raybeam, Inc., Mountain View, CA 94041 USA
| | - A. McDermott
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - K. Nguyen
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: SpaceX, Hawthorne, CA 90250 USA
| | - A. Norris
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - A. Palla
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Reliable Robotics Corporation, Mountain View, CA 94043 USA
| | - A. Roosnovo
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Physics and Astronomy Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Los Alamos National Laboratory, Los Alamos, NM 87545 USA
| | - J. Tam
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - E. Xie
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Deloitte Consulting, New York, NY 10112 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - R. C. Yap
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mathematics Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Planet Labs, PBC, San Francisco, CA 94107 USA
| | - S. Ye
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - C. Young
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Microsoft, Redmond, WA 98052 USA
| | - L. A. Adair
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Physics and Astronomy Department, University of California, Los Angeles, CA 90095 USA
- Present Address: KSAT, Inc., Denver, CO 80231 USA
| | - C. Shaffer
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Tyvak Nano-Satellite Systems, Inc., Irvine, CA 92618 USA
| | - M. Chung
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Northrop Grumman Aerospace Systems, Redondo Beach, CA 90278 USA
| | - P. Cruce
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Apple, Cupertino, CA 95014 USA
| | - M. Lawson
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - D. Leneman
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
| | - M. Allen
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Zipline International, South San Francisco, CA 94080 USA
| | - M. Anderson
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mathematics Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Lucid Motors, Newark, CA 94560 USA
| | - M. Arreola-Zamora
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Northrop Grumman Aerospace Systems, Redondo Beach, CA 90278 USA
| | - J. Artinger
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Physics and Astronomy Department, University of California, Los Angeles, CA 90095 USA
- Present Address: College of Engineering and Computer Science, California State University, Fullerton, Fullerton, CA 92831 USA
| | - J. Asher
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: The Aerospace Corporation, El Segundo, CA 90245 USA
| | - D. Branchevsky
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: The Aerospace Corporation, El Segundo, CA 90245 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - M. Cliffe
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: SpaceX, Hawthorne, CA 90250 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - K. Colton
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mathematics Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Planet Labs, PBC, San Francisco, CA 94107 USA
| | - C. Costello
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Heliogen, Pasadena, CA 91103 USA
| | - D. Depe
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Argo AI, LLC, Pittsburgh, PA 15222 USA
| | - B. W. Domae
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - S. Eldin
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Microsoft, Redmond, WA 98052 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - L. Fitzgibbon
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Physics and Astronomy Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Terran Orbital, Irvine, CA 92618 USA
| | - A. Flemming
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Northrop Grumman Aerospace Systems, Redondo Beach, CA 90278 USA
| | - D. M. Frederick
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Millenium Space Systems, El Segundo, CA 90245 USA
| | - A. Gilbert
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Department of Electrical Engineering, Stanford University, Stanford, CA 94305 USA
| | - B. Hesford
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - R. Krieger
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Materials Science and Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Mercedes-Benz Research and Development North America, Long Beach, CA 90810 USA
| | - K. Lian
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: The Aerospace Corporation, El Segundo, CA 90245 USA
| | - E. McKinney
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Geosyntec Consultants, Inc., Costa Mesa, CA 92626 USA
| | - J. P. Miller
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Juniper Networks Sunnyvale, California, 94089 USA
| | - C. Pedersen
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - Z. Qu
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Niantic Inc., San Francisco, CA 94111 USA
| | - R. Rozario
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: SpaceX, Hawthorne, CA 90250 USA
| | - M. Rubly
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Teledyne Scientific and Imaging, Thousand Oaks, CA 91360 USA
| | - R. Seaton
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - A. Subramanian
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Present Address: Northrop Grumman Aerospace Systems, Redondo Beach, CA 90278 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
| | - S. R. Sundin
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Naval Surface Warfare Center Corona Division, Norco, CA 92860 USA
| | - A. Tan
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Electrical and Computer Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Epirus Inc., Torrance, CA 90501 USA
| | - D. Thomlinson
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: The Aerospace Corporation, El Segundo, CA 90245 USA
| | - W. Turner
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Physics and Astronomy Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Department of Astronomy, Ohio State University, Columbus, OH 43210 USA
| | - G. Wing
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Computer Science Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Present Address: Amazon, Seattle, WA 98109 USA
| | - C. Wong
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Physics and Astronomy Department, University of California, Los Angeles, CA 90095 USA
- Present Address: Department of Radiology, University of California, San Francisco, San Francisco, CA 94143 USA
| | - A. Zarifian
- Earth, Planetary, and Space Sciences Department, and Institute of Geophysics and Planetary Physics, University of California, Los Angeles, Los Angeles, CA 90095 USA
- Mechanical and Aerospace Engineering Department, Henry Samueli School of Engineering, University of California, Los Angeles, CA 90095 USA
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 USA
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Zhou P, Li W, Zhao J, Chen S, Chen Y, Shen X, Xu D. Modulated effectiveness of rehabilitation motivation by reward strategies combined with tDCS in stroke: study protocol for a randomized controlled trial. Front Neurol 2023; 14:1200741. [PMID: 37396764 PMCID: PMC10310965 DOI: 10.3389/fneur.2023.1200741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 05/26/2023] [Indexed: 07/04/2023] Open
Abstract
Background Stroke survivors often exhibit low motivation for rehabilitation, hindering their ability to effectively complete rehabilitation training task effectively and participate in daily activities actively. Reward strategies have been identified as an effective method for boosting rehabilitation motivation, but their long-term efficacy remains uncertain. Transcranial direct current stimulation (tDCS) has been recognized as a technique that facilitates plastic changes and functional reorganization of cortical areas. Particularly, tDCS can improve the functional connectivity between brain regions associated with goal-directed behavior when applied to the left dorsolateral prefrontal cortex (dlPFC). Combing reward strategies with tDCS (RStDCS) has been shown to motivate healthy individuals to exert more effort in task performance. However, research exploring the combined and sustained effects of these strategies on rehabilitation motivation in stroke survivors is lacking. Methods and design Eighty-seven stroke survivors with low motivation and upper extremity dysfunction will be randomized to receive either conventional treatment, RS treatment, or RStDCS treatment. The RStDCS group will receive reward strategies combined with anodal tDCS stimulation of the left dlPFC. The RS group will receive reward strategies combined with sham stimulation. The conventional group will receive conventional treatment combined with sham stimulation. tDCS stimulation is performed over 3 weeks of hospitalization, 20 min/time, five times a week. Reward strategies refers to personalized active exercise programs for patients during hospitalization and at home. Patients can voluntarily choose tasks for active exercise and self-report to the therapist so as to punch a card for points and exchange gifts. The conventional group will receive home rehabilitation instructions prior to discharge. Rehabilitation motivation, measured using RMS. RMS, FMA, FIM, and ICF activity and social engagement scale will be compared at baseline, 3 weeks, 6 weeks, and 3 months post-enrollment to evaluate patients' multifaceted health condition based on the ICF framework. Discussion This study integrates knowledge from social cognitive science, economic behavioral science, and other relevant fields. We utilize straightforward and feasible reward strategies, combined with neuromodulation technology, to jointly improve patients' rehabilitation motivation. Behavioral observations and various assessment tools will be used to monitor patients' rehabilitation motivation and multifaceted health condition according to the ICF framework. The aim is to provide a preliminary exploration path for professionals to develop comprehensive strategies for improving patient rehabilitation motivation and facilitating a complete "hospital-home-society" rehabilitation process. Clinical trial registration https://www.chictr.org.cn/showproj.aspx?proj=182589, ChiCTR2300069068.
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Affiliation(s)
- Ping Zhou
- Rehabilitation Medicine Research Center, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University School of Medicine, Shanghai, China
- Department of Rehabilitation Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenxi Li
- Department of Rehabilitation Medicine, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jingwang Zhao
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Siyun Chen
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yufeng Chen
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xia Shen
- Rehabilitation Medicine Research Center, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University School of Medicine, Shanghai, China
| | - Dongsheng Xu
- Department of Rehabilitation Medicine, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Institute of Rehabilitation Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, China
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Huang J, Qin M, Lu W, Shen X. Dexmedetomidine Improved Sleep Quality in the Intensive Care Unit After Laryngectomy. Drug Des Devel Ther 2023; 17:1631-1640. [PMID: 37287698 PMCID: PMC10243355 DOI: 10.2147/dddt.s413321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 05/30/2023] [Indexed: 06/09/2023] Open
Abstract
Purpose To examine whether nighttime dexmedetomidine infusion improved sleep quality in patients after laryngectomy. Patients and Methods Thirty-five post-laryngectomy patients admitted to the intensive care unit (ICU) were randomly assigned to a 9-h (from 2100 h on surgery day to 0600 h the morning after laryngectomy) dexmedetomidine (0.3 μg/kg/h continuous infusion) or placebo group. Polysomnography results were monitored during the dexmedetomidine infusion period. The percentage of stage 2 non-rapid eye movement (stage N2) sleep was the primary outcome measure. Results Thirty-five patients (18 placebo group; 17 dexmedetomidine group) had complete polysomnogram recordings. The percentage of stage N3 sleep was significantly increased in the dexmedetomidine infusion group (from median 0% (0 to 0) in placebo group to 0% (interquartile range, 0 to 4) in dexmedetomidine group (difference, -2.32%; 95% CI, -4.19 to -0.443; P = 0.0167)). Infusion had no effect on total sleep time, stage N1 or N2 sleep percentages, or sleep efficiency. It decreased muscle tensity and snore non-rapid eye movement. Subjective sleep quality improved. Hypotension incidence increased in the dexmedetomidine group, but significant intervention was not required. Conclusion Dexmedetomidine infusion improved overall patient sleep quality in the ICU after laryngectomy.
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Affiliation(s)
- Jingjing Huang
- ENT Institute and Department of Otorhinolaryngology, Eye & ENT Hospital of Fudan University, Shanghai, People’s Republic of China
- Shanghai Municipal Key Clinical Specialty, Eye & ENT Hospital of Fudan University, Shanghai, People’s Republic of China
| | - Minju Qin
- Department of Anesthesiology, Eye & ENT Hospital of Fudan University, Shanghai, People’s Republic of China
| | - Weisha Lu
- Department of Anesthesiology, Eye & ENT Hospital of Fudan University, Shanghai, People’s Republic of China
| | - Xia Shen
- Department of Anesthesiology, Eye & ENT Hospital of Fudan University, Shanghai, People’s Republic of China
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Pan L, Zheng C, Yang Z, Pawitan Y, Vu TN, Shen X. Hidden Genetic Regulation of Human Complex Traits via Brain Isoforms. Phenomics 2023; 3:217-227. [PMID: 37325708 PMCID: PMC10260721 DOI: 10.1007/s43657-023-00100-6] [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] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 02/15/2023] [Accepted: 02/17/2023] [Indexed: 06/17/2023]
Abstract
Alternative splicing exists in most multi-exonic genes, and exploring these complex alternative splicing events and their resultant isoform expressions is essential. However, it has become conventional that RNA sequencing results have often been summarized into gene-level expression counts mainly due to the multiple ambiguous mapping of reads at highly similar regions. Transcript-level quantification and interpretation are often overlooked, and biological interpretations are often deduced based on combined transcript information at the gene level. Here, for the most variable tissue of alternative splicing, the brain, we estimate isoform expressions in 1,191 samples collected by the Genotype-Tissue Expression (GTEx) Consortium using a powerful method that we previously developed. We perform genome-wide association scans on the isoform ratios per gene and identify isoform-ratio quantitative trait loci (irQTL), which could not be detected by studying gene-level expressions alone. By analyzing the genetic architecture of the irQTL, we show that isoform ratios regulate educational attainment via multiple tissues including the frontal cortex (BA9), cortex, cervical spinal cord, and hippocampus. These tissues are also associated with different neuro-related traits, including Alzheimer's or dementia, mood swings, sleep duration, alcohol intake, intelligence, anxiety or depression, etc. Mendelian randomization (MR) analysis revealed 1,139 pairs of isoforms and neuro-related traits with plausible causal relationships, showing much stronger causal effects than on general diseases measured in the UK Biobank (UKB). Our results highlight essential transcript-level biomarkers in the human brain for neuro-related complex traits and diseases, which could be missed by merely investigating overall gene expressions. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-023-00100-6.
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Affiliation(s)
- Lu Pan
- Biostatistics Group, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510006 China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177 Sweden
| | - Chenqing Zheng
- Biostatistics Group, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510006 China
| | - Zhijian Yang
- Biostatistics Group, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510006 China
| | - Yudi Pawitan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177 Sweden
| | - Trung Nghia Vu
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177 Sweden
| | - Xia Shen
- Biostatistics Group, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510006 China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177 Sweden
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, 200433 China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, 511458 China
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, EH8 9AG UK
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Dai Z, Xu W, Ding R, Peng X, Shen X, Song J, Du P, Wang Z, Liu Y. Two-sample Mendelian randomization analysis evaluates causal associations between inflammatory bowel disease and osteoporosis. Front Public Health 2023; 11:1151837. [PMID: 37304119 PMCID: PMC10250718 DOI: 10.3389/fpubh.2023.1151837] [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] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 05/15/2023] [Indexed: 06/13/2023] Open
Abstract
Introduction Over the past few years, multiple observational studies have speculated a potential association between inflammatory bowel disease (IBD), which includes ulcerative colitis (UC) and Crohn's disease (CD), and osteoporosis. However, no consensus has been reached regarding their interdependence and pathogenesis. Herein, we sought to further explore the causal associations between them. Methods We validated the association between IBD and reduced bone mineral density in humans based on genome-wide association studies (GWAS) data. To investigate the causal relationship between IBD and osteoporosis, we performed a two-sample Mendelian randomization study using training and validation sets. Genetic variation data for IBD, CD, UC, and osteoporosis were derived from published genome-wide association studies in individuals of European ancestry. After a series of robust quality control steps, we included eligible instrumental variables (SNPs) significantly associated with exposure (IBD/CD/UC). We adopted five algorithms, including MR Egger, Weighted median, Inverse variance weighted, Simple mode, and Weighted mode, to infer the causal association between IBD and osteoporosis. In addition, we evaluated the robustness of Mendelian randomization analysis by heterogeneity test, pleiotropy test, leave-one-out sensitivity test, and multivariate Mendelian randomization. Results Genetically predicted CD was positively associated with osteoporosis risk, with ORs of 1.060 (95% CIs 1.016, 1.106; p = 0.007) and 1.044 (95% CIs 1.002, 1.088; p = 0.039) for CD in the training and validation sets, respectively. However, Mendelian randomization analysis did not reveal a significant causal relationship between UC and osteoporosis (p > 0.05). Furthermore, we found that overall IBD was associated with osteoporosis prediction, with ORs of 1.050 (95% CIs 0.999, 1.103; p = 0.055) and 1.063 (95% CIs 1.019, 1.109; p = 0.005) in the training and validation sets, respectively. Conclusion We demonstrated the causal association between CD and osteoporosis, complementing the framework for genetic variants that predispose to autoimmune disease.
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Affiliation(s)
- Zhujiang Dai
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Weimin Xu
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Rui Ding
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Xiang Peng
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Xia Shen
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Jinglue Song
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Peng Du
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Zhongchuan Wang
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
| | - Yun Liu
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai Colorectal Cancer Research Center, Shanghai, China
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Liu Y, Sanchez DM, Ware MR, Champenois EG, Yang J, Nunes JPF, Attar A, Centurion M, Cryan JP, Forbes R, Hegazy K, Hoffmann MC, Ji F, Lin MF, Luo D, Saha SK, Shen X, Wang XJ, Martínez TJ, Wolf TJA. Rehybridization dynamics into the pericyclic minimum of an electrocyclic reaction imaged in real-time. Nat Commun 2023; 14:2795. [PMID: 37202402 DOI: 10.1038/s41467-023-38513-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 04/28/2023] [Indexed: 05/20/2023] Open
Abstract
Electrocyclic reactions are characterized by the concerted formation and cleavage of both σ and π bonds through a cyclic structure. This structure is known as a pericyclic transition state for thermal reactions and a pericyclic minimum in the excited state for photochemical reactions. However, the structure of the pericyclic geometry has yet to be observed experimentally. We use a combination of ultrafast electron diffraction and excited state wavepacket simulations to image structural dynamics through the pericyclic minimum of a photochemical electrocyclic ring-opening reaction in the molecule α-terpinene. The structural motion into the pericyclic minimum is dominated by rehybridization of two carbon atoms, which is required for the transformation from two to three conjugated π bonds. The σ bond dissociation largely happens after internal conversion from the pericyclic minimum to the electronic ground state. These findings may be transferrable to electrocyclic reactions in general.
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Affiliation(s)
- Y Liu
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
- Department of Physics and Astronomy, Stony Brook University, Stony Brook, NY, 11790, USA
| | - D M Sanchez
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
- Department of Chemistry, Stanford University, 333 Campus Drive, Stanford, CA, 94305, USA
- Design Physics Division, Lawrence Livermore National Laboratory, Livermore, CA, USA
| | - M R Ware
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - E G Champenois
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - J Yang
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
- Center of Basic Molecular Science, Department of Chemistry, Mong Man Wai Building of Science and Technology, S-1027 Tsinghua University, Beijing, China
| | - J P F Nunes
- Department of Physics and Astronomy, University of Nebraska-Lincoln, Theodore Jorgensen Hall 208, 855 N 16th Street, Lincoln, NE, 68588, USA
- Diamond Light Source, Harwell Science Campus, Fermi Ave, Didcot, OX11 0DE, UK
| | - A Attar
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - M Centurion
- Department of Physics and Astronomy, University of Nebraska-Lincoln, Theodore Jorgensen Hall 208, 855 N 16th Street, Lincoln, NE, 68588, USA
| | - J P Cryan
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - R Forbes
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - K Hegazy
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - M C Hoffmann
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - F Ji
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - M-F Lin
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - D Luo
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - S K Saha
- Department of Physics and Astronomy, University of Nebraska-Lincoln, Theodore Jorgensen Hall 208, 855 N 16th Street, Lincoln, NE, 68588, USA
| | - X Shen
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - X J Wang
- SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA
| | - T J Martínez
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA.
- Department of Chemistry, Stanford University, 333 Campus Drive, Stanford, CA, 94305, USA.
| | - T J A Wolf
- Stanford PULSE Institute, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA, 94025, USA.
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Dondup D, Yang Y, Xu D, Namgyal L, Wang Z, Shen X, Dorji T, kyi N, Drolma L, Gao L, Ga Z, Sang Z, Ga Z, Mu W, Zhuoma P, Taba X, Jiao G, Liao W, Tang Y, Zeng X, Luobu Z, Wu Y, Wang C, Zhang J, Qi Z, Guo W, Guo G. Genome diversity and highland-adaptative variation in Tibet barley landrace population of China. Front Plant Sci 2023; 14:1189642. [PMID: 37235004 PMCID: PMC10206316 DOI: 10.3389/fpls.2023.1189642] [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: 03/19/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023]
Abstract
Barley landraces accumulated variation in adapting to extreme highland environments during long-term domestication in Tibet, but little is known about their population structure and genomic selection traces. In this study, tGBS (tunable genotyping by sequencing) sequencing, molecular marker and phenotypic analyses were conducted on 1,308 highland and 58 inland barley landraces in China. The accessions were divided into six sub-populations and clearly distinguished most six-rowed, naked barley accessions (Qingke in Tibet) from inland barley. Genome-wide differentiation was observed in all five sub-populations of Qingke and inland barley accessions. High genetic differentiation in the pericentric regions of chromosomes 2H and 3H contributed to formation of five types of Qingke. Ten haplotypes of the pericentric regions of 2H, 3H, 6H and 7H were further identified as associated with ecological diversification of these sub-populations. There was genetic exchange between eastern and western Qingke but they shared the same progenitor. The identification of 20 inland barley types indicated multiple origins of Qingke in Tibet. The distribution of the five types of Qingke corresponded to specific environments. Two predominant highland-adaptative variations were identified for low temperature tolerance and grain color. Our results provide new insights into the origin, genome differentiation, population structure and highland adaptation in highland barley which will benefit both germplasm enhancement and breeding of naked barley.
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Affiliation(s)
- Dawa Dondup
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
- College of Plant Science, Tibet Agricultural and Husbandry University, Linzhi, China
| | - Yang Yang
- College of Life Sciences, Zaozhuang University, Zaozhuang, China
| | - Dongdong Xu
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
- Institute of Industrial Crops, Shandong Academy of Agricultural Sciences, Jinan, China
| | - Lhundrup Namgyal
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zihao Wang
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Xia Shen
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Tsechoe Dorji
- Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
- Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences, Beijing, China
| | - Nyima kyi
- Tibet Climate Center, Tibet Meteorological Bureau, Lhasa, China
| | - Lhakpa Drolma
- Tibet Institute of Plateau Atmospheric and Environmental Sciences, Tibet Meteorological Bureau, Lhasa, China
- Key Laboratory of Atmospheric Environment of Tibet Autonomous Region, Tibet Meteorological Bureau, Lhasa, China
| | - Liyun Gao
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zhuo Ga
- College of Plant Science, Tibet Agricultural and Husbandry University, Linzhi, China
| | - Zha Sang
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zhuo Ga
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Wang Mu
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Pubu Zhuoma
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Xiongnu Taba
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Guocheng Jiao
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Wenhua Liao
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Yawei Tang
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Xingquan Zeng
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Zhaxi Luobu
- State Key Laboratory of Hulless Barley and Yak Germplasm Resources and Genetic Improvement, Research Institute of Agriculture, Tibet Academy of Agriculture and Animal Husbandry Sciences, Lhasa, China
| | - Yufeng Wu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Chunchao Wang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
| | - Jing Zhang
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
| | - Zengjun Qi
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Ganggang Guo
- Key Laboratory of Grain Crop Genetic Resources Evaluation and Utilization (MARA), The National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (ICS-CAAS), Beijing, China
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Cai Y, Shen X, Meng X, Zheng Z, Usman M, Hu K, Zhao X. Syntrophic consortium with the aid of coconut shell-derived biochar enhances methane recovery from ammonia-inhibited anaerobic digestion. Sci Total Environ 2023; 872:162182. [PMID: 36773909 DOI: 10.1016/j.scitotenv.2023.162182] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [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: 01/05/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
Anaerobic digestion (AD) of nitrogen-rich substrates often suffers from the issue of ammonia inhibition. Although bioaugmentation has been used to assist AD with high ammonia concentration, the combined effect of domesticated syntrophic consortium (MC) together with biochar on ammonia inhibited AD are still unknown. In the present study, MC was adapted and enriched by purposive domestication. As a novel strategy, coconut shell-derived biochar was used as a carrier to aid the MC. The results showed that the digestion system deteriorated completely without the assistance of MC and biochar when the TAN concentration exceeded 8.0 g L-1. The combination of biochar and MC (B-MC treatment) could restore ammonia inhibition in 10 days and achieved a high methane yield of 357.5 mL g-1 volatile solid, which was 7.5 % higher than that of MC treatment. Syntrophomonas, Syntrophobacter, and Methanoculleus in MC played a critical role in reducing propionic acid and butyric acid content and efficiently producing methane. Their abundances increased 12-fold, 10-fold, and 2-fold, respectively. With the assistance of biochar, MC had a better performance in relieving ammonia inhibition. This could be attributed to two aspects. First, biochar encouraged the growth or colonization of key microorganisms such as propionate and butyrate oxidizing bacteria and ammonia-tolerant archaea. Second, biochar induced the growth of conductive microorganisms such as Geobacter. From the perspective of enzyme genes, biochar increased the abundance of related enzyme genes in butyrate and propionate degradation, acetoclastic and hydrogenotrophic pathways. In conclusion, MC combined with biochar is a potential approach to alleviate ammonia nitrogen inhibition.
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Affiliation(s)
- Yafan Cai
- School of Chemical Engineering, Zhengzhou University, Kexue Dadao 100, 450001 Zhengzhou, China
| | - Xia Shen
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A and F University, Yangling, Shaanxi 712100, China.
| | - Xingyao Meng
- Beijing Technology and Business University, State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing 100048, China
| | - Zehui Zheng
- College of Agronomy and Biotechnology/Biomass Engineering Center, China Agricultural University, Beijing 100193, China
| | - Muhammad Usman
- Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB T6G 2W2, Canada
| | - Kai Hu
- Shenzhen Derun Biomass Investment Co. Ltd., Shenzhen 518066, China
| | - Xiaoling Zhao
- School of Chemical Engineering, Zhengzhou University, Kexue Dadao 100, 450001 Zhengzhou, China.
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Liu G, Liu Q, Wan N, Shen X, Cui H, Dong C, Zhang X, Yin H, Wang J, Funk CD, Yu Y. Cardioprotection by Peroxidase Activity of Prostaglandin H Synthases in Ischemia/Reperfusion Injury. Circulation 2023; 147:1467-1470. [PMID: 37155589 DOI: 10.1161/circulationaha.122.061145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Affiliation(s)
- Guizhu Liu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, China (G.L., Q.L., X.Z., Y.Y.)
- Wuxi School of Medicine, Jiangnan University, Jiangsu, China (G.L.)
- State Key Laboratory of Respiratory Diseases, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China (G.L., J.W.)
| | - Qian Liu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, China (G.L., Q.L., X.Z., Y.Y.)
| | | | - Xia Shen
- School of Life Science and Technology, Shanghai Tech University, China (X.S., H.C., H.Y.)
| | - Hui Cui
- School of Life Science and Technology, Shanghai Tech University, China (X.S., H.C., H.Y.)
| | - Cheng Dong
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Tianjin Medical University, China (C.D.)
| | - Xu Zhang
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, China (G.L., Q.L., X.Z., Y.Y.)
| | - Huiyong Yin
- School of Life Science and Technology, Shanghai Tech University, China (X.S., H.C., H.Y.)
- Chinese Academy of Sciences Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Chinese Academy of Sciences, China (H.Y.)
- Department of Biomedical Sciences, City University of Hong Kong, China (H.Y.)
| | - Jian Wang
- Department of Vascular and Cardiology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, China (N.W.)
| | - Colin D Funk
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada (C.D.F.)
| | - Ying Yu
- Department of Pharmacology, Tianjin Key Laboratory of Inflammatory Biology, Center for Cardiovascular Diseases, Key Laboratory of Immune Microenvironment and Disease (Ministry of Education), The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, China (G.L., Q.L., X.Z., Y.Y.)
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Shen X, Yang L, Liu YY, Zhang XH, Cai P, Huang JF, Jiang L. Associations between urinary iodine concentration and the prevalence of metabolic disorders: a cross-sectional study. Front Endocrinol (Lausanne) 2023; 14:1153462. [PMID: 37223035 PMCID: PMC10200914 DOI: 10.3389/fendo.2023.1153462] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 04/03/2023] [Indexed: 05/25/2023] Open
Abstract
Background Few studies have examined the role of iodine in extrathyroidal function. Recent research has shown an association between iodine and metabolic syndromes (MetS) in Chinese and Korean populations, but the link in the American participants remains unknown. Purpose This study aimed to examine the relationship between iodine status and metabolic disorders, including components associated with metabolic syndrome, hypertension, hyperglycemia, central obesity, triglyceride abnormalities, and low HDL. Methods The study included 11,545 adults aged ≥ 18 years from the US National Health and Nutrition Examination Survey (2007-2018). Participants were divided into four groups based on their iodine nutritional status(ug/L), as recommended by the World Health Organization: low UIC, < 100; normal UIC, 100-299; high UIC, 300-399; and very high, ≥ 400. The Odds ratio (OR) for MetS basing the UIC group was estimated using logistic regression models for our overall population and subgroups. Results Iodine status was positively associated with the prevalence of MetS in US adults. The risk of MetS was significantly higher in those with high UIC than in those with normal UIC [OR: 1.25; 95% confidence intervals (CI),1.016-1.539; p = 0.035). The risk of MetS was lower in the low UIC group (OR,0.82; 95% CI: 0.708-0.946; p = 0.007). There was a significant nonlinear trend between UIC and the risk of MetS, diabetes, and obesity in overall participants. Participants with high UIC had significantly increased TG elevation (OR, 1.24; 95% CI: 1.002-1.533; P = 0.048) and participants with very high UIC had significantly decreased risk of diabetes (OR, 0.83; 95% CI: 0.731-0.945, p = 0.005). Moreover, subgroup analysis revealed an interaction between UIC and MetS in participants aged < 60 years and ≥ 60 years, and no association between UIC and MetS in older participants aged ≥ 60 years. Conclusion Our study validated the relationship between UIC and MetS and their components in US adults. This association may provide further dietary control strategies for the management of patients with metabolic disorders.
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Affiliation(s)
- Xia Shen
- Department of Nursing, Wuxi Medical College, Jiangnan University, Wuxi, China
| | - Long Yang
- College of Pediatrics, Xinjiang Medical University, Urumqi, China
| | - Yuan-Yuan Liu
- Department of Nursing, Wuxi Medical College, Jiangnan University, Wuxi, China
| | - Xue-He Zhang
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Ping Cai
- Department of Cardiothoracic Surgery, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Jian-Feng Huang
- Department of Radiology, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China
| | - Lei Jiang
- Department of Radiology, The Convalescent Hospital of East China, Wuxi, China
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Wen S, Zhao H, Qiao G, Shen X. The identification and characterization of genome-wide long terminal repeat retrotransposon provide an insight into elucidating the trait evolution of five Rhododendron species. Plant Biol (Stuttg) 2023. [PMID: 37128942 DOI: 10.1111/plb.13532] [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: 12/02/2022] [Accepted: 04/18/2023] [Indexed: 05/03/2023]
Abstract
Rhododendron is well-known for its beauty and colorful corolla. Although some high-quality whole-genome sequencing of Rhododendron has been completed, there is lack of studies on long terminal repeat (LTR) retrotransposons in Rhododendron, which limits our ability to elucidate the causes of genetic variations in Rhododendron species. The properties of the intact Rhododendron LTR retrotransposon were investigated at the genome-wide level. Based on the available data, the high-quality genomes from five species, i.e., R. griersonianum, R. simsii, R. henanense subsp. lingbaoense, R. mucronatum var. ripense and R. ovatum were selected as the identification targets with good assembly continuity. A total of 17,936 intact LTR retrotransposons were identified; they belong to the superfamilies Copia and Gypsy with 17 clades. The insertion time of these transposons was later than 120 million years ago, and the outbreak period was concentrated more recently than 30 million years ago. Phylogenetic analysis revealed that many LTR retrotransposons might originate from intraspecific duplication. The current evidences also suggests that most of the LTR retrotransposons were inserted in the interstitial part of the genes in R. griersonianum, R. simsii, R. henanense, and R. ovatum, and the functions of the inserted genes are mainly involved in starch metabolism and proteolysis etc. The effect of LTR retrotransposon on gene expression depends on its insertion site and activation. Highly expressed LTR retrotransposons tended to be younger. The activity of LTR retrotransposons may affect some stage-specific expression genes of flower development, such as leucine-rich repeat receptor-like kinase. The available results herein improve our knowledge of LTR retrotransposons in Rhododendron genomes and facilitate the further study of genetic variation and trait evolution in Rhododendron.
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Affiliation(s)
- S Wen
- School of Design, Shanghai Jiao Tong University, Shanghai, China, 200240
- Key Laboratory of Mountain Plant Resources Protection and Germplasm Innovation (Ministry of Education), Guizhou University, Guiyang, China, 550025
| | - H Zhao
- Key Laboratory of Mountain Plant Resources Protection and Germplasm Innovation (Ministry of Education), Guizhou University, Guiyang, China, 550025
| | - G Qiao
- Key Laboratory of Mountain Plant Resources Protection and Germplasm Innovation (Ministry of Education), Guizhou University, Guiyang, China, 550025
| | - X Shen
- School of Design, Shanghai Jiao Tong University, Shanghai, China, 200240
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Shen X, Yang L, Gu X, Liu YY, Jiang L. Geriatric Nutrition Risk Index as a predictor of cardiovascular and all-cause mortality in older Americans with diabetes. Diabetol Metab Syndr 2023; 15:89. [PMID: 37127636 PMCID: PMC10152715 DOI: 10.1186/s13098-023-01060-7] [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: 01/06/2023] [Accepted: 04/13/2023] [Indexed: 05/03/2023] Open
Abstract
BACKGROUND AND AIMS Few studies have examined the relationship between malnutrition, as defined by the Geriatric Nutrition Risk Index (GNRI), and all-cause mortality and cardiovascular mortality events, particularly in persons with diabetes. The study aimed at the association between GNRI and all-cause mortality and cardiovascular mortality in older Americans with diabetes. METHODS Data from this retrospective study were obtained from the National Health and Nutrition Examination (NHANES) 1999-2016. Using data from The NHANES Public-Use Linked Mortality Files to assess all-cause mortality (ACM) and cardiovascular mortality (CVM). After excluding participants younger than 60 years and without diabetes, and with missing follow-up data, 4400 cases were left in this study. Persons with diabetes were divided by GNRI into 3 groups: GNRI ≥ 98; 92 ≤ GNRI < 98; and GNRI < 92; (No; Low; Moderate/Severe (M/S) group). We used Cox proportional hazard regression model to explore the predictive role of GNRI on ACM and CVM in elderly persons with diabetes. Restricted cubic splines to investigate the existence of a dose-response linear relationship between them. RESULT During a median follow-up period of 89 months, a total of 538 (12.23%) cardiovascular deaths occurred and 1890 (42.95%) all-cause deaths occurred. Multifactorial COX regression analysis showed all-cause mortality (hazard ratio [HR]: 2.58, 95% CI: 1.672-3.994, p < 0.001) and cardiovascular mortality (HR: 2.29, 95% CI: 1.063-4.936, p = 0.034) associated with M/S group risk of malnutrition in GNRI compared to no group. A negative association between GNRI and all-cause mortality was observed across gender and ethnicity. However, the same negative association between GNRI and cardiovascular mortality was observed only for males (HR:0.94, 95% CI:0.905-0.974, p < 0.001) and other races (HR:0.92, 95% CI:0.861-0.976, p = 0.007). And there was no significant correlation between low malnutrition and cardiovascular mortality (p = 0.076). Restricted cubic splines showed a nonlinear relationship between GNRI and all-cause mortality and cardiovascular mortality (non-linear p < 0.001, non-linear p = 0.019). CONCLUSIONS Lower GNRI levels are associated with mortality in older patients with diabetes. GNRI may be a predictor of all-cause mortality and cardiovascular mortality risk in older patients with diabetes.
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Affiliation(s)
- Xia Shen
- Department of Nursing, Wuxi Medical College, Jiangnan University, 1800 Li Hu Avenue, Wuxi, 214062, China
| | - Long Yang
- College of Pediatrics, Xinjiang Medical University, Urumqi, China, 393 Xin Yi Road, Urumqi, 830054, China
| | - Xue Gu
- Department of Nursing, Wuxi Medical College, Jiangnan University, 1800 Li Hu Avenue, Wuxi, 214062, China
| | - Yuan-Yuan Liu
- Department of Nursing, Wuxi Medical College, Jiangnan University, 1800 Li Hu Avenue, Wuxi, 214062, China
| | - Lei Jiang
- Department of Radiology, The Convalescent Hospital of East China, No.67 Da Ji Shan, Wuxi, 214065, China.
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Shen X, He S, Wang J, Qian X, Wang H, Zhang B, Chen Y, Li H, An Y, Gong Q, Li G. Modifiable predictors of type 2 diabetes mellitus and roles of insulin resistance and β-cell function over a 6-year study and 30-year follow-up. J Endocrinol Invest 2023; 46:883-891. [PMID: 36219314 DOI: 10.1007/s40618-022-01932-1] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 09/29/2022] [Indexed: 04/17/2023]
Abstract
PURPOSE This study aimed to examine the modifiable predictors of T2DM and the roles of insulin resistance (IR) and β-cell function over a 6-year study and 30-year follow-up. METHODS A total of 462 non-diabetic participants, 282 with impaired glucose tolerance (IGT), and 180 with normal glucose tolerance (NGT) were enrolled in this analysis. The Matsuda IR index and area under the curve of insulin-to-glucose ratio (AUCI/G-R) were used as IR and β-cell function indices in the analysis. RESULTS In all participants, multivariable analysis showed that BMI, glucose status, Matsuda IR index and systolic blood pressure (SBP) at baseline were independently associated with an increased risk of T2DM over 30 years, whereas lifestyle intervention and AUCI/G-R were inversely associated with this risk. The predictive effect of the Matsuda IR index and AUCI/G-R in participants with IGT was consistent with the results of all participants, whereas in those with NGT, only the Matsuda IR index, not the AUCI/G-R, predicted the development of T2DM (HR = 1.42, 95% CI 1.07-1.89 vs HR = 1.09, 95% CI 0.76-1.56). The predictive effect of the Matsuda IR index on T2DM existed even in participants with BMI < 25 (p = 0.049). CONCLUSION The modifiable predictors of T2DM in Chinese adults were high BMI, hypertension, mild hyperglycaemia, IR, and β-cell dysfunction. Both IR and β-cell function contributed to the development of T2DM in the long term; however, IR remains the initial and long-standing key risk factor for T2DM.
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Affiliation(s)
- X Shen
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China
| | - S He
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China
| | - J Wang
- Department of Cardiology, Da Qing First Hospital, No. 9 Zhongkang Street, Saltu District, Da Qing, 163411, Heilongjiang, China
| | - X Qian
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China
| | - H Wang
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China
| | - B Zhang
- Department of Endocrinology, China-Japan Friendship Hospital, No 2, East Yinghua Road, Chaoyang District, Beijing, 100029, China
| | - Y Chen
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China
| | - H Li
- Department of Cardiology, Da Qing First Hospital, No. 9 Zhongkang Street, Saltu District, Da Qing, 163411, Heilongjiang, China
| | - Y An
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China
| | - Q Gong
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China.
| | - G Li
- Center of Endocrinology, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 167 North Lishi Road, Xicheng District, Beijing, 100037, China.
- Department of Endocrinology, China-Japan Friendship Hospital, No 2, East Yinghua Road, Chaoyang District, Beijing, 100029, China.
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Zhou BW, Zhang J, Ye XB, Liu GX, Xu X, Wang J, Liu ZH, Zhou L, Liao ZY, Yao HB, Xu S, Shi JJ, Shen X, Yu XH, Hu ZW, Lin HJ, Chen CT, Qiu XG, Dong C, Zhang JX, Yu RC, Yu P, Jin KJ, Meng QB, Long YW. Octahedral Distortion and Displacement-Type Ferroelectricity with Switchable Photovoltaic Effect in a 3d^{3}-Electron Perovskite System. Phys Rev Lett 2023; 130:146101. [PMID: 37084444 DOI: 10.1103/physrevlett.130.146101] [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] [Received: 07/19/2022] [Revised: 12/02/2022] [Accepted: 03/14/2023] [Indexed: 05/03/2023]
Abstract
Because of the half-filled t_{2g}-electron configuration, the BO_{6} octahedral distortion in a 3d^{3} perovskite system is usually very limited. In this Letter, a perovskitelike oxide Hg_{0.75}Pb_{0.25}MnO_{3} (HPMO) with a 3d^{3} Mn^{4+} state was synthesized by using high pressure and high temperature methods. This compound exhibits an unusually large octahedral distortion enhanced by approximately 2 orders of magnitude compared with that observed in other 3d^{3} perovskite systems like RCr^{3+}O_{3} (R=rare earth). Essentially different from centrosymmetric HgMnO_{3} and PbMnO_{3}, the A-site doped HPMO presents a polar crystal structure with the space group Ama2 and a substantial spontaneous electric polarization (26.5 μC/cm^{2} in theory) arising from the off-center displacements of A- and B-site ions. More interestingly, a prominent net photocurrent and switchable photovoltaic effect with a sustainable photoresponse were observed in the current polycrystalline HPMO. This Letter provides an exceptional d^{3} material system which shows unusually large octahedral distortion and displacement-type ferroelectricity violating the "d^{0}-ness" rule.
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Affiliation(s)
- B W Zhou
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J Zhang
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - X B Ye
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - G X Liu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - X Xu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J Wang
- Department of Physics, Beijing Normal University, Beijing 100875, China
| | - Z H Liu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - L Zhou
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - Z Y Liao
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - H B Yao
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - S Xu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J J Shi
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - X Shen
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - X H Yu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z W Hu
- Max Planck Institute for Chemical Physics of Solids, Dresden 01187, Germany
| | - H J Lin
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - C T Chen
- National Synchrotron Radiation Research Center, Hsinchu 30076, Taiwan
| | - X G Qiu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - C Dong
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - J X Zhang
- Department of Physics, Beijing Normal University, Beijing 100875, China
| | - R C Yu
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
| | - P Yu
- State Key Laboratory of Low Dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, 100084, China
| | - K J Jin
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
| | - Q B Meng
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Y W Long
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
- School of Physics, University of Chinese Academy of Sciences, Beijing 100049, China
- Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
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Bosma MJ, Cox SR, Ziermans T, Buchanan CR, Shen X, Tucker-Drob EM, Adams MJ, Whalley HC, Lawrie SM. White matter, cognition and psychotic-like experiences in UK Biobank. Psychol Med 2023; 53:2370-2379. [PMID: 37310314 PMCID: PMC10123836 DOI: 10.1017/s0033291721004244] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 09/09/2021] [Accepted: 09/29/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Psychotic-like experiences (PLEs) are risk factors for the development of psychiatric conditions like schizophrenia, particularly if associated with distress. As PLEs have been related to alterations in both white matter and cognition, we investigated whether cognition (g-factor and processing speed) mediates the relationship between white matter and PLEs. METHODS We investigated two independent samples (6170 and 19 891) from the UK Biobank, through path analysis. For both samples, measures of whole-brain fractional anisotropy (gFA) and mean diffusivity (gMD), as indications of white matter microstructure, were derived from probabilistic tractography. For the smaller sample, variables whole-brain white matter network efficiency and microstructure were also derived from structural connectome data. RESULTS The mediation of cognition on the relationships between white matter properties and PLEs was non-significant. However, lower gFA was associated with having PLEs in combination with distress in the full available sample (standardized β = -0.053, p = 0.011). Additionally, lower gFA/higher gMD was associated with lower g-factor (standardized β = 0.049, p < 0.001; standardized β = -0.027, p = 0.003), and partially mediated by processing speed with a proportion mediated of 7% (p = < 0.001) for gFA and 11% (p < 0.001) for gMD. CONCLUSIONS We show that lower global white matter microstructure is associated with having PLEs in combination with distress, which suggests a direction of future research that could help clarify how and why individuals progress from subclinical to clinical psychotic symptoms. Furthermore, we replicated that processing speed mediates the relationship between white matter microstructure and g-factor.
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Affiliation(s)
- M. J. Bosma
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - S. R. Cox
- School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - T. Ziermans
- Department of Psychology, University of Amsterdam, Amsterdam, Netherlands
| | - C. R. Buchanan
- School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - X. Shen
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, UK
| | - E. M. Tucker-Drob
- Department of Psychology, University of Texas at Austin, Austin, USA
| | - M. J. Adams
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, UK
| | - H. C. Whalley
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, UK
| | - S. M. Lawrie
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, Scotland, UK
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Zhou Q, Zhao R, Shen X, Zhang H, Zhai Y, Gu Y, Shen Q, Xu H. Experience of the homecare of children on automatic peritoneal dialysis during the COVID-19 outbreak: A qualitative descriptive study. Nurs Open 2023; 10:2203-2212. [PMID: 36397267 PMCID: PMC10006596 DOI: 10.1002/nop2.1469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 05/24/2022] [Accepted: 10/22/2022] [Indexed: 11/19/2022] Open
Abstract
AIMS To describe the home care experience, challenges and coping strategies of caregivers with children on automatic peritoneal dialysis (PD) in mainland China during the early stage of the COVID-19 outbreak. DESIGN A qualitative descriptive approach was adopted. Semi-structured telephone interviews were conducted among 14 families with children on automatic peritoneal dialysis from February 2nd to 10th, 2020. The care routine, stress and coping strategies of caregivers of children on peritoneal dialysis were collected. The data were analysed using thematic analysis. METHODS Four key themes were defined: (1) concerns about PD treatment intertwined with worries about COVID-19; (2) retaining a sense of normality in the middle of the challenges; (3) staying safe; and (4) staying positive and carrying on. RESULTS Families with children on automatic PD addressed the stress from COVID-19 and its containment measures by closely adhering to COVID-19 preventative measures, actively adjusting mentality and maintaining a sense of normality during the outbreak. This implies that healthcare staff need to be more aware of the complex medical needs of families with children on automatic PD, advocate for them and facilitate their navigation through the repurposed healthcare system.
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Affiliation(s)
- Qing Zhou
- Department of Nephrology, Children's Hospital, Fudan University, Shanghai, China
| | - Rui Zhao
- Department of Nephrology, Children's Hospital, Fudan University, Shanghai, China
| | - Xia Shen
- Department of Nephrology, Children's Hospital, Fudan University, Shanghai, China
| | - Hui Zhang
- Department of Nephrology, Children's Hospital, Fudan University, Shanghai, China
| | - Yihui Zhai
- Department of Nephrology, Children's Hospital, Fudan University, Shanghai, China
| | - Ying Gu
- Department of Nursing, Children's Hospital, Fudan University, Shanghai, China
| | - Qian Shen
- Department of Nephrology, Children's Hospital, Fudan University, Shanghai, China
| | - Hong Xu
- Department of Nephrology, Children's Hospital, Fudan University, Shanghai, China
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Repetto L, Chen J, Yang Z, Zhai R, Timmers PRHJ, Li T, Twait EL, May-Wilson S, Muckian MD, Prins BP, Png G, Kooperberg C, Johansson Å, Hillary RF, Wheeler E, Pan L, He Y, Klasson S, Ahmad S, Peters JE, Gilly A, Karaleftheri M, Tsafantakis E, Haessler J, Gyllensten U, Harris SE, Wareham NJ, Göteson A, Lagging C, Ikram MA, van Duijn CM, Jern C, Landén M, Langenberg C, Deary IJ, Marioni RE, Enroth S, Reiner AP, Dedoussis G, Zeggini E, Butterworth AS, Mälarstig A, Wilson JF, Navarro P, Shen X. Unraveling Neuro-Proteogenomic Landscape and Therapeutic Implications for Human Behaviors and Psychiatric Disorders. Res Sq 2023:rs.3.rs-2720355. [PMID: 37034613 PMCID: PMC10081382 DOI: 10.21203/rs.3.rs-2720355/v1] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Understanding the genetic basis of neuro-related proteins is essential for dissecting the molecular basis of human behavioral traits and the disease etiology of neuropsychiatric disorders. Here, the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,500 individuals for 184 neuro-related proteins in human plasma. The analysis identified 117 cis-regulatory protein quantitative trait loci (cis-pQTL) and 166 trans-pQTL. The mapped pQTL capture on average 50% of each protein's heritability. Mendelian randomization analyses revealed multiple proteins showing potential causal effects on neuro-related traits such as sleeping, smoking, feelings, alcohol intake, mental health, and psychiatric disorders. Integrating with established drug information, we validated 13 out of 13 matched combinations of protein targets and diseases or side effects with available drugs, while suggesting hundreds of re-purposing and new therapeutic targets. This consortium effort provides a large-scale proteogenomic resource for biomedical research on human behaviors and other neuro-related phenotypes.
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Affiliation(s)
- Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
| | - Jiantao Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Zhijian Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Ranran Zhai
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Paul R. H. J. Timmers
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Ting Li
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
| | - Emma L. Twait
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrechtand Utrecht University, Utrecht, Netherlands
| | - Sebastian May-Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Marisa D. Muckian
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Bram P. Prins
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Grace Png
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM), School of Medicine, 81675 Munich, Germany
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Åsa Johansson
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Robert F. Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Eleanor Wheeler
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Lu Pan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Yazhou He
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Sofia Klasson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Shahzad Ahmad
- Department of Epidemiology, ErasmusMC, Rotterdam, The Netherlands
| | - James E. Peters
- Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Arthur Gilly
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
| | | | | | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle USA
| | - Ulf Gyllensten
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Sarah E. Harris
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Nicholas J. Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Andreas Göteson
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecilia Lagging
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | | | | | - Christina Jern
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Mikael Landén
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Institute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Claudia Langenberg
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Computational Medicine, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Germany
| | - Ian J. Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ, United Kingdom
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, EH4 2XU, United Kingdom
| | - Stefan Enroth
- Dept. Immunology, Genetics and Pathology, Science for life laboratory, Uppsala University, Sweden
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle USA
| | - George Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece
| | - Eleftheria Zeggini
- Institute of Translational Genomics, Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
- Technical University of Munich (TUM) and Klinikum Rechts der Isar, TUM School of Medicine, Munich, Germany
| | - Adam S. Butterworth
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Anders Mälarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Emerging Science and Innovation, Pfizer Worldwide Research, Development and Medical, Cambridge, UK
| | - James F. Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Pau Navarro
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, MRC Institute of Genetics Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Xia Shen
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Center for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China
- Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Zhang J, Feng H, Lin J, Zhai H, Shen X. Influence of the constraint-induced method of constraint-induced movement therapy on improving lower limb outcomes after stroke: A meta-analysis review. Front Neurol 2023; 14:1090808. [PMID: 37006479 PMCID: PMC10062389 DOI: 10.3389/fneur.2023.1090808] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 02/15/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundConstraint-induced movement therapy (CIMT) targeting the lower limb function uses various methods. The influence of CIMT methods on lower limb outcomes after stroke has rarely been examined.ObjectivesThis study aimed to examine CIMT effects on lower limb outcomes and explore the influence of CIMT methods on treatment effects after stroke, with other potential factors considered as covariates.MethodsPubMed, Web of Science, Cochrane Library, Academic Search Premier via EBSCOHost, and PEDro databases were searched until September 2022. We included randomized control trials with CIMT targeting the lower limb function and dosage-matched active control. The Cochrane risk-of-bias tool was used to evaluate the methodological quality of each study. Hedges' g was used to quantify the effect size of CIMT on outcomes compared to the active control. Meta-analyses were conducted across all studies. A mixed-variable meta-regression analysis was used to investigate the influence of CIMT methods on treatment effects after stroke, with other potential factors considered as covariates.ResultsTwelve eligible randomized controlled trials with CIMT were included in the meta-analysis, where 10 trials were with a low risk of bias. A total of 341 participants with stroke were involved. For the treatment effects on the lower limb function, CIMT showed a moderate short-term effect size [Hedges' g = 0.567; P > 0.05; 95% confidence interval (CI): 0.203–0.931], but a small and insignificant long-term effect size (Hedges' g = 0.470; P > 0.05; 95%CI: −0.173 to 1.112), compared with conventional treatment. The CIMT method of using a weight strapped around the non-paretic leg and the ICF outcome category of the movement function were identified as significant factors contributing to the heterogeneity of short-term effect sizes across studies (β = −0.854 and 1.064, respectively, R2 = 98%, P > 0.05). Additionally, using a weight strapped around the non-paretic leg had a significant contribution to the heterogeneity of long-term effect sizes across studies as well (β = −1.000, R2 = 77%, P > 0.05).ConclusionConstraint-induced movement therapy is superior to conventional treatment for improvement of lower limb function in the short-term but not in the long-term. The CIMT method of using a weight strapped around a non-paretic leg contributed negatively to the treatment effect, and therefore might not be recommended.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO, identifier: CRD42021268681.
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Affiliation(s)
- Jing Zhang
- Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai, China
| | - Hongsheng Feng
- Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Jinpeng Lin
- School of Materials Science and Engineering, South China University of Technology, Guangzhou, China
| | - Hua Zhai
- Key Laboratory of Exercise and Health Sciences of Ministry of Education, Shanghai University of Sport, Shanghai, China
- Department of Administration, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Shanghai, China
| | - Xia Shen
- Rehabilitation Medicine Research Center, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University School of Medicine, Shanghai, China
- *Correspondence: Xia Shen
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49
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Young WJ, Haessler J, Benjamins JW, Repetto L, Yao J, Isaacs A, Harper AR, Ramirez J, Garnier S, van Duijvenboden S, Baldassari AR, Concas MP, Duong T, Foco L, Isaksen JL, Mei H, Noordam R, Nursyifa C, Richmond A, Santolalla ML, Sitlani CM, Soroush N, Thériault S, Trompet S, Aeschbacher S, Ahmadizar F, Alonso A, Brody JA, Campbell A, Correa A, Darbar D, De Luca A, Deleuze JF, Ellervik C, Fuchsberger C, Goel A, Grace C, Guo X, Hansen T, Heckbert SR, Jackson RD, Kors JA, Lima-Costa MF, Linneberg A, Macfarlane PW, Morrison AC, Navarro P, Porteous DJ, Pramstaller PP, Reiner AP, Risch L, Schotten U, Shen X, Sinagra G, Soliman EZ, Stoll M, Tarazona-Santos E, Tinker A, Trajanoska K, Villard E, Warren HR, Whitsel EA, Wiggins KL, Arking DE, Avery CL, Conen D, Girotto G, Grarup N, Hayward C, Jukema JW, Mook-Kanamori DO, Olesen MS, Padmanabhan S, Psaty BM, Pattaro C, Ribeiro ALP, Rotter JI, Stricker BH, van der Harst P, van Duijn CM, Verweij N, Wilson JG, Orini M, Charron P, Watkins H, Kooperberg C, Lin HJ, Wilson JF, Kanters JK, Sotoodehnia N, Mifsud B, Lambiase PD, Tereshchenko LG, Munroe PB. Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease. Nat Commun 2023; 14:1411. [PMID: 36918541 PMCID: PMC10015012 DOI: 10.1038/s41467-023-36997-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 02/26/2023] [Indexed: 03/15/2023] Open
Abstract
The 3-dimensional spatial and 2-dimensional frontal QRS-T angles are measures derived from the vectorcardiogram. They are independent risk predictors for arrhythmia, but the underlying biology is unknown. Using multi-ancestry genome-wide association studies we identify 61 (58 previously unreported) loci for the spatial QRS-T angle (N = 118,780) and 11 for the frontal QRS-T angle (N = 159,715). Seven out of the 61 spatial QRS-T angle loci have not been reported for other electrocardiographic measures. Enrichments are observed in pathways related to cardiac and vascular development, muscle contraction, and hypertrophy. Pairwise genome-wide association studies with classical ECG traits identify shared genetic influences with PR interval and QRS duration. Phenome-wide scanning indicate associations with atrial fibrillation, atrioventricular block and arterial embolism and genetically determined QRS-T angle measures are associated with fascicular and bundle branch block (and also atrioventricular block for the frontal QRS-T angle). We identify potential biology involved in the QRS-T angle and their genetic relationships with cardiovascular traits and diseases, may inform future research and risk prediction.
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Affiliation(s)
- William J Young
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS trust, London, UK
| | - Jeffrey Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jan-Walter Benjamins
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, the Netherlands
| | - Linda Repetto
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Aaron Isaacs
- Dept. of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Maastricht Center for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
| | - Andrew R Harper
- Radcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, UK
- Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford, UK
| | - Julia Ramirez
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
- Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain and Center of Biomedical Research Network, Bioengineering, Biomaterials and Nanomedicine, Zaragoza, Spain
| | - Sophie Garnier
- Sorbonne Universite, INSERM, UMR-S1166, Research Unit on Cardiovascular Disorders, Metabolism and Nutrition, Team Genomics & Pathophysiology of Cardiovascular Disease, Paris, 75013, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, 75013, France
| | - Stefan van Duijvenboden
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
| | - Antoine R Baldassari
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Maria Pina Concas
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
| | - ThuyVy Duong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Luisa Foco
- Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy
| | - Jonas L Isaksen
- Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hao Mei
- Department of Data Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Raymond Noordam
- Department of Internal Medicine, section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
| | - Casia Nursyifa
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Anne Richmond
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Meddly L Santolalla
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
- Emerge, Emerging Diseases and Climate Change Research Unit, School of Public Health and Administration, Universidad Peruana Cayetano Heredia, Lima, 15152, Peru
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Negin Soroush
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Sébastien Thériault
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
- Department of Molecular Biology, Medical Biochemistry and Pathology, Université Laval, Quebec, QC, Canada
| | - Stella Trompet
- Department of Internal Medicine, section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Stefanie Aeschbacher
- Cardiovascular Research Institute Basel, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Julius Global Health, University Utrecht Medical Center, Utrecht, the Netherlands
| | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Archie Campbell
- Usher Institute, University of Edinburgh, Nine, Edinburgh Bioquarter, 9 Little France Road, Edinburgh, UK
- Health Data Research UK, University of Edinburgh, Nine, Edinburgh Bioquarter, 9 Little France Road, Edinburgh, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - Adolfo Correa
- Departments of Medicine, Pediatrics and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Dawood Darbar
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Antonio De Luca
- Cardiothoracovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina and University of Trieste, Trieste, Italy
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), 91057, Evry, France
- Laboratory of Excellence GENMED (Medical Genomics), Paris, France
- Centre d'Etude du Polymorphisme Humain, Fondation Jean Dausset, Paris, France
| | - Christina Ellervik
- Department of Data and Data Support, Region Zealand, 4180, Sorø, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2100, Copenhagen, Denmark
- Department of Laboratory Medicine, Boston Children's Hospital, Harvard Medical School, 300 Longwood Avenue, Boston, MA, 02115, USA
| | - Christian Fuchsberger
- Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anuj Goel
- Radcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, UK
- Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford, UK
| | - Christopher Grace
- Radcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, UK
- Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford, UK
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Rebecca D Jackson
- Center for Clinical and Translational Science, Ohio State Medical Center, Columbus, OH, USA
| | - Jan A Kors
- Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | - Allan Linneberg
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, København, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter W Macfarlane
- Institute of Health and Wellbeing, School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Pau Navarro
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Peter P Pramstaller
- Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy
- Department of Neurology, University of Lübeck, Lübeck, Germany
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Fred Hutchinson Cancer Center, University of Washington, Seattle, WA, USA
| | - Lorenz Risch
- Labormedizinisches zentrum Dr. Risch, Vaduz, Liechtenstein
- Faculty of Medical Sciences, Private University in the Principality of Liechtenstein, Triesen, Liechtenstein
- Center of Laboratory Medicine, University Institute of Clinical Chemistry, University of Bern, Inselspital, Bern, Switzerland
| | - Ulrich Schotten
- Dept. of Physiology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | - Xia Shen
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Nansha District, Guangzhou, China
| | - Gianfranco Sinagra
- Cardiothoracovascular Department, Division of Cardiology, Azienda Sanitaria Universitaria Giuliano Isontina and University of Trieste, Trieste, Italy
| | - Elsayed Z Soliman
- Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Monika Stoll
- Maastricht Center for Systems Biology (MaCSBio), Maastricht University, Maastricht, the Netherlands
- Dept. of Biochemistry, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
- Institute of Human Genetics, Genetic Epidemiology, University of Muenster, Muenster, Germany
| | - Eduardo Tarazona-Santos
- Department of Genetics, Ecology and Evolution, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Andrew Tinker
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Katerina Trajanoska
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eric Villard
- Sorbonne Universite, INSERM, UMR-S1166, Research Unit on Cardiovascular Disorders, Metabolism and Nutrition, Team Genomics & Pathophysiology of Cardiovascular Disease, Paris, 75013, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, 75013, France
| | - Helen R Warren
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christy L Avery
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - David Conen
- Population Health Research Institute, McMaster University, Hamilton, ON, Canada
| | - Giorgia Girotto
- Institute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy
- Department of Medical, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands
- Netherlands Heart Institute, Utrecht, the Netherlands
- Durrer Center for Cardiovascular Research, Amsterdam, the Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands, Leiden, the Netherlands
| | | | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattte, WA, USA
| | - Cristian Pattaro
- Eurac Research, Institute for Biomedicine (affiliated with the University of Lübeck), Bolzano, Italy
| | - Antonio Luiz P Ribeiro
- Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Brazil, Belo Horizonte, Minas Gerais, Brazil
- Cardiology Service and Telehealth Center, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil, Belo Horizonte, Minas Gerais, Brazil
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
- Departments of Pediatrics and Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Pim van der Harst
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, the Netherlands
- Department of Cardiology, Heart and Lung Division, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Cornelia M van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Niek Verweij
- University of Groningen, University Medical Center Groningen, Department of Cardiology, Groningen, the Netherlands
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Michele Orini
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS trust, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
| | - Philippe Charron
- Sorbonne Universite, INSERM, UMR-S1166, Research Unit on Cardiovascular Disorders, Metabolism and Nutrition, Team Genomics & Pathophysiology of Cardiovascular Disease, Paris, 75013, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, 75013, France
- APHP, Cardiology Department, Pitié-Salpêtrière Hospital, Paris, 75013, France
- APHP, Département de Génétique, Centre de Référence Maladies Cardiaques Héréditaires, Pitié-Salpêtrière Hospital, Paris, 75013, France
| | - Hugh Watkins
- Radcliffe Department of Medicine, University of Oxford, Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, UK
- Wellcome Centre for Human Genetics, Roosevelt Drive, Oxford, UK
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Henry J Lin
- Institute for Translational Genomics and Population Sciences/The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - James F Wilson
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, Scotland
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, Scotland
| | - Jørgen K Kanters
- Laboratory of Experimental Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Borbala Mifsud
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK
- Genomics and Translational Biomedicine, College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Pier D Lambiase
- Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS trust, London, UK
- Institute of Cardiovascular Sciences, University of College London, London, UK
| | - Larisa G Tereshchenko
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
- Department of Medicine, Cardiovascular Division, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.
| | - Patricia B Munroe
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London, UK.
- NIHR Barts Cardiovascular Biomedical Research Centre, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
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Qiao H, Chen J, Huang Y, Pan Y, Lu W, Huang Y, Li W, Shen X. Early Neurocognitive Function With Propofol or Desflurane Anesthesia After Laser Laryngeal Surgery With Low Inspired Oxygen. Laryngoscope 2023; 133:640-646. [PMID: 35791905 DOI: 10.1002/lary.30273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/09/2022] [Accepted: 06/14/2022] [Indexed: 11/07/2022]
Abstract
PURPOSE The effects of general anesthetics on cognitive impairment are unclear and complicated. Laser laryngeal surgery (LLS) requires the administration of low levels of oxygen, which may increase the risk of desaturation and brain function impairment. This prospective randomized trial aimed to compare the effects of desflurane and propofol-based general anesthesia on the occurrence of early postoperative cognitive decline in elderly patients undergoing LLS. METHODS Seventy-three patients classified as American Society of Anesthesiologists grade I or II and at least 65 years of age were randomly allocated to receive either desflurane-based (Group D) or propofol-based (Group P) anesthesia during LLS. The standard anesthesia protocol was performed, with a bispectral index between 40 and 60 and a mean arterial pressure within 20% of baseline values. Intraoperative regional oxygen saturation values were recorded. Each patient was assessed using the mini-mental state examination (MMSE) test during the preoperative period (baseline), 30 min after extubation in the postanesthesia care unit, and 1, 3, and 24 h after surgery. RESULTS MMSE scores improved slightly in both groups compared to baseline during the early postoperative period, but these increases were not statistically significant. No significant differences were identified in MMSE scores between groups. Only three patients (9.6%) in group D and one patient (3.1%) in group P developed cognitive impairment (p = 0.583). CONCLUSION Low intraoperative inspired oxygen concentration during short-duration LLS did not reduce early postoperative cognitive function in elderly patients. Desflurane or propofol-based anesthesia had similar effects on early neurocognition after LLS. LEVEL OF EVIDENCE 2 Laryngoscope, 133:640-646, 2023.
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Affiliation(s)
- Hui Qiao
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Jing Chen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Yanzhe Huang
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Yiting Pan
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Weisha Lu
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Youyi Huang
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Wenxian Li
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
| | - Xia Shen
- Department of Anesthesiology, Eye & ENT Hospital, Fudan University, Shanghai, China
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