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Wang C, Wang Z, Fu L, Du J, Ji F, Qiu X. CircNRCAM up-regulates NRCAM to promote papillary thyroid carcinoma progression. J Endocrinol Invest 2024; 47:1215-1226. [PMID: 38485895 DOI: 10.1007/s40618-023-02241-x] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 11/04/2023] [Indexed: 04/23/2024]
Abstract
PURPOSE Papillary Thyroid Carcinoma (PTC) is the most prevalent subtype of Thyroid Carcinoma (THCA), a type of malignancy in the endocrine system. According to prior studies, Neural Cell Adhesion Molecule (NRCAM) has been found to be up-regulated in PTC and stimulates the proliferation and migration of PTC cells. However, the specific mechanism of NRCAM in PTC cells is not yet fully understood. Consequently, this study aimed to investigate the underlying mechanism of NRCAM in PTC cells, the findings of which could provide new insights for the development of potential treatment targets for PTC. METHODS AND RESULTS Bioinformatics tools were utilized and a series of experiments were conducted, including Western blot, colony formation, and dual-luciferase reporter assays. The data collected indicated that NRCAM was overexpressed in THCA tissues and PTC cells. Circular RNA NRCAM (circNRCAM) was found to be highly expressed in PTC cells and to positively regulate NRCAM expression. Through loss-of-function assays, both circNRCAM and NRCAM were shown to promote the proliferation, invasion, and migration of PTC cells. Mechanistically, this study confirmed that precursor microRNA-506 (pre-miR-506) could bind with m6A demethylase AlkB Homolog 5 (ALKBH5), leading to its m6A demethylation. It was also discovered that circNRCAM could competitively bind to ALKBH5, which restrained miR-506-3p expression and promoted NRCAM expression. CONCLUSION In summary, circNRCAM could up-regulate NRCAM by down-regulating miR-506-3p, thereby enhancing the biological behaviors of PTC cells.
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Affiliation(s)
- C Wang
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - Z Wang
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - L Fu
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - J Du
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - F Ji
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China
| | - X Qiu
- Department of Thyroid Surgery, The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou, 450052, Henan, China.
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Cai Z, Zhu M, Xu L, Wang Y, Xu Y, Yim WY, Cao H, Guo R, Qiu X, He X, Shi J, Qiao W, Dong N. Directed Differentiation of Human Induced Pluripotent Stem Cells to Heart Valve Cells. Circulation 2024; 149:1435-1456. [PMID: 38357822 PMCID: PMC11062615 DOI: 10.1161/circulationaha.123.065143] [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: 04/12/2023] [Accepted: 01/19/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND A main obstacle in current valvular heart disease research is the lack of high-quality homogeneous functional heart valve cells. Human induced pluripotent stem cells (hiPSCs)-derived heart valve cells may help with this dilemma. However, there are no well-established protocols to induce hiPSCs to differentiate into functional heart valve cells, and the networks that mediate the differentiation have not been fully elucidated. METHODS To generate heart valve cells from hiPSCs, we sequentially activated the Wnt, BMP4, VEGF (vascular endothelial growth factor), and NFATc1 signaling pathways using CHIR-99021, BMP4, VEGF-165, and forskolin, respectively. The transcriptional and functional similarity of hiPSC-derived heart valve cells compared with primary heart valve cells were characterized. Longitudinal single-cell RNA sequencing was used to uncover the trajectory, switch genes, pathways, and transcription factors of the differentiation. RESULTS An efficient protocol was developed to induce hiPSCs to differentiate into functional hiPSC-derived valve endothelial-like cells and hiPSC-derived valve interstitial-like cells. After 6-day differentiation and CD144 magnetic bead sorting, ≈70% CD144+ cells and 30% CD144- cells were obtained. On the basis of single-cell RNA sequencing data, the CD144+ cells and CD144- cells were found to be highly similar to primary heart valve endothelial cells and primary heart valve interstitial cells in gene expression profile. Furthermore, CD144+ cells had the typical function of primary heart valve endothelial cells, including tube formation, uptake of low-density lipoprotein, generation of endothelial nitric oxide synthase, and response to shear stress. Meanwhile, CD144- cells could secret collagen and matrix metalloproteinases, and differentiate into osteogenic or adipogenic lineages like primary heart valve interstitial cells. Therefore, we identified CD144+ cells and CD144- cells as hiPSC-derived valve endothelial-like cells and hiPSC-derived valve interstitial-like cells, respectively. Using single-cell RNA sequencing analysis, we demonstrated that the trajectory of heart valve cell differentiation was consistent with embryonic valve development. We identified the main switch genes (NOTCH1, HEY1, and MEF2C), signaling pathways (TGF-β, Wnt, and NOTCH), and transcription factors (MSX1, SP5, and MECOM) that mediated the differentiation. Finally, we found that hiPSC-derived valve interstitial-like cells might derive from hiPSC-derived valve endothelial-like cells undergoing endocardial-mesenchymal transition. CONCLUSIONS In summary, this is the first study to report an efficient strategy to generate functional hiPSC-derived valve endothelial-like cells and hiPSC-derived valve interstitial-like cells from hiPSCs, as well as to elucidate the differentiation trajectory and transcriptional dynamics of hiPSCs differentiated into heart valve cells.
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Affiliation(s)
- Ziwen Cai
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, China (Z.C.)
| | - Miaomiao Zhu
- Department of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, China (Z.C.)
- Institute of Maternal and Children Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji medical College, Huazhong University of Science & Technology, Hubei, China (M.Z.)
| | - Li Xu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Yue Wang
- Department of Anesthesiology, Union Hospital, Fujian Medical University, Fuzhou, China (Y.W.)
| | - Yin Xu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Wai Yen Yim
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Hong Cao
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Ruikang Guo
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Xiang Qiu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Ximiao He
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (M.Z., X.H.)
| | - Jiawei Shi
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Weihua Qiao
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
| | - Nianguo Dong
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Z.C., L.X., Y.X., W.Y.Y., H.C., R.G., X.Q, J.S., W.Q., N.D.)
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Qiu X, Guo JJ, Jin CC, He J, Wang L, Yang BC, Zhang YH, Zhu BS, Tang XH. [Efficiency of CNV-seq in detecting fetal DMD gene deletion or duplication in prenatal diagnosis]. Zhonghua Fu Chan Ke Za Zhi 2024; 59:279-287. [PMID: 38644274 DOI: 10.3760/cma.j.cn112141-20230919-00107] [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: 04/23/2024]
Abstract
Objective: To evaluate the diagnostic efficiency of copy number variation sequencing (CNV-seq) to detect the deletion or duplication of DMD gene in prenatal diagnosis. Methods: A retrospective analysis was carried out on the CNV-seq results of 34 544 fetuses diagnosed in the First People's Hospital of Yunnan Province from January 2018 to July 2023. A total of 156 cases of fetuses were collected, including Group 1:125 cases with family history of Duchenne muscular dystrophy or Becker muscular dystrophy (DMD/BMD), and Group 2:31 cases with no family history but a DMD gene deletion or duplication was detected unexpectedly by CNV-seq. Multiplex ligation-dependent probe amplification (MLPA) was used as a standard method to detect the deletion or duplication. Consistency test was carried out basing on the results of CNV-seq and MLPA of all 156 cases. Results: Comparing to MLPA, CNV-seq had a coincidence rate of 92.3% (144/156) for DMD gene deletion or duplication, with a sensitivity and positive predictive value of 88.2%, with a specificity and negative predictive value of 94.3%, a missed detection rate of 3.8%, and a Kappa value of 0.839. CNV-seq missed 4 cases with deletions and 2 with duplications due to involved fragments less than 100 Kb, among 20 cases of deletions and 6 cases of duplications detected by MLPA in Group 1. In Group 2, the deletions and duplications detected by CNV-seq were 42% (13/31) and 58% (18/31), respectively, in which the percentage of duplication was higher than that in Group 1. Among those 18 cases with duplications, 3 cases with duplication locating in exon 42~67 were likely pathogenic; while 9 cases with duplication covering the 5' or 3' end of the DMD gene, containing exon 1 or 79 and with only one breakpoint within the gene, along with the last 6 cases with duplications locating at chrX: 32650635_32910000 detected only by CNV-seq, which might be judged as variants of uncertain significance. Conclusions: CNV-seq has a good efficiency to detect fetal DMD gene deletion or duplication in prenatal diagnosis, while a further verification test by MLPA is recommended. The duplications on chrX: 32650635_32910000, 5' or 3' end of DMD gene detected by CNV-seq should be carefully verified and assessed because those variants appear to be nonpathogenic polymorphisms.
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Affiliation(s)
- X Qiu
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - J J Guo
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - C C Jin
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - J He
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - L Wang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - B C Yang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - Y H Zhang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - B S Zhu
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
| | - X H Tang
- Department of Medical Genetics, NHC Key Laboratory of Health Birth and Birth Defect Prevention in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Affiliated Hospital of Kunming University of Science and Technology, the First People's Hospital of Yunnan Province, Kunming 650032, China
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He Z, Sa R, Zhang K, Wang J, Qiu X, Chen L. Optimizing the indication of initial radioiodine oncolytic treatment for metastatic differentiated thyroid cancer by diagnostic 131I scan. Clin Radiol 2024:S0009-9260(24)00185-5. [PMID: 38641445 DOI: 10.1016/j.crad.2024.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/27/2024] [Accepted: 03/25/2024] [Indexed: 04/21/2024]
Abstract
AIM As a classic theranostic radiopharmaceutical, radioiodine (131I) has been utilized in the management of differentiated thyroid cancer (DTC) for more than 8 decades, and the refinement of its clinical practice has been raised recently. This study was conducted to evaluate the efficiency of a diagnostic (Dx) 131I scan in optimizing the indication of initial radioiodine oncolytic treatment (ROT) for metastatic DTC by predicting therapeutic outcomes. RESULTS A total of 100 patients (Dx positive, n=29; Dx negative, n=71) were eligible for patient-based analysis. The matching rate was 83.0% between the Dx and the post-therapeutic scans (kappa = 0.648, P<0.001). The biochemical remission rate and structural shrinkage rate induced by the initial ROT in the Dx-positive group were, respectively, greater than those in the Dx-negative group (83.3% vs. 17.4%, P<0.001; 37.9% vs. 4.2%, P<0.001). Notably, the predictive values of positive Dx scans for ROT responsiveness and negative Dx scans for ROT nonresponsiveness reached up to 89.7% and 84.5%, respectively. CONCLUSION This Dx scan approach seems viable in characterizing the 131I-avidity of metastatic DTC and plays a pivotal role in optimizing the indication of initial ROT for metastatic DTC.
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Affiliation(s)
- Z He
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - R Sa
- Department of Nuclear Medicine, The First Hospital of Jilin University, 1(#) Xinmin St, Changchun 130021, People's Republic of China.
| | - K Zhang
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - J Wang
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - X Qiu
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
| | - L Chen
- Department of Nuclear Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600(#) Yishan Rd, Shanghai 200233, People's Republic of China.
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Zhang J, Wu Y, Chen S, Luo Q, Xi H, Li J, Qin X, Peng Y, Ma N, Yang B, Qiu X, Lu W, Chen Y, Jiang Y, Chen P, Liu Y, Zhang C, Zhang Z, Xiong Y, Shen J, Liang H, Ren Y, Ying C, Dong M, Li X, Xu C, Wang H, Zhang D, Xu C, Huang H. Prospective prenatal cell-free DNA screening for genetic conditions of heterogenous etiologies. Nat Med 2024; 30:470-479. [PMID: 38253798 DOI: 10.1038/s41591-023-02774-x] [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: 02/14/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024]
Abstract
Prenatal cell-free DNA (cfDNA) screening uses extracellular fetal DNA circulating in the peripheral blood of pregnant women to detect prevalent fetal chromosomal anomalies. However, numerous severe conditions with underlying single-gene defects are not included in current prenatal cfDNA screening. In this prospective, multicenter and observational study, pregnant women at elevated risk for fetal genetic conditions were enrolled for a cfDNA screening test based on coordinative allele-aware target enrichment sequencing. This test encompasses the following three of the most frequent pathogenic genetic variations: aneuploidies, microdeletions and monogenic variants. The cfDNA screening results were compared to invasive prenatal or postnatal diagnostic test results for 1,090 qualified participants. The comprehensive cfDNA screening detected a genetic alteration in 135 pregnancies with 98.5% sensitivity and 99.3% specificity relative to standard diagnostics. Of 876 fetuses with suspected structural anomalies on ultrasound examination, comprehensive cfDNA screening identified 55 (56.1%) aneuploidies, 6 (6.1%) microdeletions and 37 (37.8%) single-gene pathogenic variants. The inclusion of targeted monogenic conditions alongside chromosomal aberrations led to a 60.7% increase (from 61 to 98) in the detection rate. Overall, these data provide preliminary evidence that a comprehensive cfDNA screening test can accurately identify fetal pathogenic variants at both the chromosome and single-gene levels in high-risk pregnancies through a noninvasive approach, which has the potential to improve prenatal evaluation of fetal risks for severe genetic conditions arising from heterogenous molecular etiologies. ClinicalTrials.gov registration: ChiCTR2100045739 .
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Affiliation(s)
- Jinglan Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Beijing BioBiggen Technology Co., Ltd, Beijing, China.
| | - Yanting Wu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Songchang Chen
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Qiong Luo
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Women's Reproductive Health of Zhejiang Province, and Zhejiang Provincial Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Xi
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Jianli Li
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Xiaomei Qin
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Ying Peng
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Na Ma
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Bingxin Yang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiang Qiu
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Weiliang Lu
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Yuan Chen
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Women's Reproductive Health of Zhejiang Province, and Zhejiang Provincial Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Jiang
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Women's Reproductive Health of Zhejiang Province, and Zhejiang Provincial Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Panpan Chen
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Women's Reproductive Health of Zhejiang Province, and Zhejiang Provincial Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Yifeng Liu
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Women's Reproductive Health of Zhejiang Province, and Zhejiang Provincial Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Chen Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Zhiwei Zhang
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Yu Xiong
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Jie Shen
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Huan Liang
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Yunyun Ren
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Chunmei Ying
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Minyue Dong
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Women's Reproductive Health of Zhejiang Province, and Zhejiang Provincial Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaotian Li
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Congjian Xu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Hua Wang
- National Health Commission (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China.
- NHC Key Laboratory of Birth Defects Research, Prevention and Treatment, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China.
| | - Dan Zhang
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Key Laboratory of Women's Reproductive Health of Zhejiang Province, and Zhejiang Provincial Clinical Research Center for Child Health, Zhejiang University School of Medicine, Hangzhou, China.
| | - Chenming Xu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
| | - Hefeng Huang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.
- Key Laboratory of Reproductive Genetics (Ministry of Education) and Department of Reproductive Endocrinology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
- Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai, China.
- Shanghai Frontiers Science Research Center of Reproduction and Development, Shanghai, China.
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Chen Q, Fu C, Qiu X, He J, Zhao T, Zhang Q, Hu X, Hu H. Machine-learning-based performance comparison of two-dimensional (2D) and three-dimensional (3D) CT radiomics features for intracerebral haemorrhage expansion. Clin Radiol 2024; 79:e26-e33. [PMID: 37926647 DOI: 10.1016/j.crad.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 09/07/2023] [Accepted: 10/02/2023] [Indexed: 11/07/2023]
Abstract
AIM To investigate the value of non-contrast CT (NCCT)-based two-dimensional (2D) radiomics features in predicting haematoma expansion (HE) after spontaneous intracerebral haemorrhage (ICH) and compare its predictive ability with the three-dimensional (3D) signature. MATERIALS AND METHODS Three hundred and seven ICH patients who received baseline NCCT within 6 h of ictus from two stroke centres were analysed retrospectively. 2D and 3D radiomics features were extracted in the manner of one-to-one correspondence. The 2D and 3D models were generated by four different machine-learning algorithms (regularised L1 logistic regression, decision tree, support vector machine and AdaBoost), and the receiver operating characteristic (ROC) curve was used to compare their predictive performance. A robustness analysis was performed according to baseline haematoma volume. RESULTS Each feature type of 2D and 3D modalities used for subsequent analyses had excellent consistency (mean ICC >0.9). Among the different machine-learning algorithms, pairwise comparison showed no significant difference in both the training (mean area under the ROC curve [AUC] 0.858 versus 0.802, all p>0.05) and validation datasets (mean AUC 0.725 versus 0.678, all p>0.05), and the 10-fold cross-validation evaluation yielded similar results. The AUCs of the 2D and 3D models were comparable either in the binary or tertile volume analysis (all p>0.5). CONCLUSION NCCT-derived 2D radiomics features exhibited acceptable and similar performance to the 3D features in predicting HE, and this comparability seemed unaffected by initial haematoma volume. The 2D signature may be preferred in future HE-related radiomic works given its compatibility with emergency condition of ICH.
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Affiliation(s)
- Q Chen
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - C Fu
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Qiu
- Department of Radiology, Qian Tang District of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - J He
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - T Zhao
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Q Zhang
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - X Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - H Hu
- Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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7
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Jing Z, Wang G, Li Z, Wu S, Qiu X, Huang R. Association of blood pressure variability with target organ damage in older patients with essential hypertension. Chronic Dis Transl Med 2023; 9:320-328. [PMID: 37915384 PMCID: PMC10617365 DOI: 10.1002/cdt3.73] [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: 11/24/2022] [Revised: 04/26/2023] [Accepted: 05/11/2023] [Indexed: 11/03/2023] Open
Abstract
Background Although multiple measures of blood pressure variability (BPV) have been proposed, whether they are better than mean blood pressure in predicting target organs is unclear. We aimed to determine the relationship between short term BPV and target organ injury. Methods This study was a retrospective study, and 635 inpatients in the Department of Cardiology from 2015 to 2020 were selected. We divided participants into four groups on the basis of the quartiles of BPV. One-way analysis of variance was used to compare the differences between the groups, and linear regression was used to analyze the relationship between BPV and target organ damage. Results The average age of 635 patients was 74.36 ± 6.50 years old. Among them, 354 of 627 patients had diminished renal function (56.5%), 221of 604 patients had associated left ventricular hypertrophy (36.6%), and 227 of 231 patients had carotid plaque formation (98.3%). The baseline data indicated significant differences in fasting glucose, total cholesterol, low-density lipoprotein, creatinine, glomerular filtration rate, sex, calcium channel blocker use, and the rate of diminished renal function. Multiple linear regression analysis showed that BPV was negatively correlated with renal injury (creatinine: r = 0.306, p < 0.01; estimated glomerular filtration rate: r = 0.058, p < 0.01), and BPV is positively correlated with cardiac injury (r = 0.083, p < 0.01). Elevated BPV was not found to be associated with vascular injury. Conclusion Renal function decreases with increasing BPV and left ventricular mass increases with increasing BPV.
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Affiliation(s)
- Zhiquan Jing
- Department of Cardiology, Beijing Friendship HospitalCapital Medical UniversityBeijingChina
| | - Gang Wang
- Department of Cardiology, Beijing Friendship HospitalCapital Medical UniversityBeijingChina
| | - Zeya Li
- Department of Cardiology, Beijing Friendship HospitalCapital Medical UniversityBeijingChina
| | - Shanshan Wu
- Department of Clinical Epidemiology and EBM, Beijing Friendship HospitalCapital Medical UniversityBeijingChina
| | - Xiang Qiu
- Department of CardiologyBeijing Fangshan First HospitalBeijingChina
| | - Rongchong Huang
- Department of Cardiology, Beijing Friendship HospitalCapital Medical UniversityBeijingChina
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8
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Luo C, Yang JL, Liu J, Qiu X, Xie X, Chen H. [Evaluation of the lower urinary tract function using voiding spot assay in mice]. Sheng Li Xue Bao 2023; 75:636-646. [PMID: 37909135] [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: 11/02/2023]
Abstract
The objective of present study was to develop a simple and reliable voiding spot assay (VSA) system to evaluate the lower urinary tract function of mice, and to establish it as a standardized protocol. Ultraviolet (UV) light was used to screen out the filter paper without autofluorescence and with optimal urine diffusion properties. Next, the appropriate wavelength of UV was determined based on the quality of the photographic image of urine spots on the filter paper. To confirm that the urine stain area on the filter paper was correlated with the amount of urine, a volume-area standard curve was constructed. The utility of this VSA system was validated using female wild-type C57BL/6J mice aged 12-13 weeks, and the data generated under identical procedural settings were compared among laboratories. Furthermore, this VSA system was employed to analyze the changes in voiding patterns in mice with urinary tract infections or transportation stress. No. 4 filter paper with a thickness of 0.7 mm was identified as the most suitable material for VSA, exhibiting no autofluorescence and facilitating optimal urine diffusion. The filter paper retained its integrity during the assay, and there was a linear correlation between urine volume and stained area under 365 nm UV light. Utilizing this VSA system, we determined that female wild-type C57BL/6J mice produced approximately 695.8 μL total urine and 5.5 primary voiding spots (PVS) with an average size of 126.4 μL/spot within 4-h period. Over 84% of PVS volumes ranged from 20 to 200 μL. Notably, PVS volumes of mice were similar across different laboratories. Mice with urinary tract infections or transportation stress exhibited significant changes in VSA parameters, including increased voiding frequency, PVS number, and decreased PVS volume. Therefore, this VSA system can be used to evaluate the urinary function of normal mice, as well as those with urinary tract infection or transportation stress.
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Affiliation(s)
- Chuang Luo
- School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - Jia-Li Yang
- School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - Juan Liu
- School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - Xiang Qiu
- School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - Xiang Xie
- School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China
| | - Huan Chen
- School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China.
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9
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Xu Z, Liang J, Fu R, Yang L, Xin Chen Y, Ren W, Lu Y, Qiu X, Gu Q. Effect of PD-L1 Expression for the PD-1/L1 Inhibitors on Non-small Cell Lung Cancer: A Meta-analysis Based on Randomised Controlled Trials. Clin Oncol (R Coll Radiol) 2023; 35:640-651. [PMID: 37563075 DOI: 10.1016/j.clon.2023.07.012] [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] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 06/23/2023] [Accepted: 07/28/2023] [Indexed: 08/12/2023]
Abstract
AIMS As PD-L1 expression has been proposed as one of the cancer biomarkers for non-small cell lung cancer (NSCLC), the predictive value of tumour proportional score (TPS) in the effect of immunotherapy [programmed death protein-1/ligand 1 (PD-1/L1) inhibitors] for NSCLC is worth exploring further. Here, we aimed to summarise the outcomes of current NSCLC randomised controlled trials (RCTs) and explore the predictive value of TPS in clinical immunotherapy, including immune checkpoint inhibitors (ICIs) with or without chemotherapy. MATERIALS AND METHODS RCTs published by PubMed, Medline, Embase and Scopus before February 2023 comparing immunotherapy (PD-1/L1 with or without other therapy) versus a control group in advanced or metastatic NSCLC were included to assess the prognosis according to the patients' TPS with 1% and 50% as the thresholds. The primary endpoints were overall survival and progression-free survival. RESULTS In total, 28 RCTs containing 17 266 participants with advanced or metastatic NSCLC were included in this meta-analysis. Statistical results showed that compared with TPS <1%, ≥1% or within 1-49%, patients with TPS ≥50% benefited more significantly from the immunotherapy. A subgroup analysis showed that when TPS was <1%, ≥1% or within 1-49%, ICIs + chemotherapy had better efficacy than ICIs alone; PD-1 (such as pembrolizumab) inhibitors had better efficacy than PD-L1 inhibitors (such as atezolizumab). CONCLUSION The efficacy of immunotherapy (PD-1/L1 inhibitors) for advanced or metastatic NSCLC is influenced by TPS.
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Affiliation(s)
- Z Xu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China
| | - J Liang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - R Fu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - L Yang
- Emergency Medical Center, Ningbo Yinzhou No. 2 Hospital, Ningbo, Zhejiang, China
| | - Y Xin Chen
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - W Ren
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Y Lu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - X Qiu
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Q Gu
- Department of Respiratory and Critical Care Medicine, Linhai Second People's Hospital, Taizhou, Zhejiang, China.
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Kang W, Qiu X, Luo Y, Luo J, Liu Y, Xi J, Li X, Yang Z. Application of radiomics-based multiomics combinations in the tumor microenvironment and cancer prognosis. J Transl Med 2023; 21:598. [PMID: 37674169 PMCID: PMC10481579 DOI: 10.1186/s12967-023-04437-4] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/12/2023] [Indexed: 09/08/2023] Open
Abstract
The advent of immunotherapy, a groundbreaking advancement in cancer treatment, has given rise to the prominence of the tumor microenvironment (TME) as a critical area of research. The clinical implications of an improved understanding of the TME are significant and far-reaching. Radiomics has been increasingly utilized in the comprehensive assessment of the TME and cancer prognosis. Similarly, the advancement of pathomics, which is based on pathological images, can offer additional insights into the panoramic view and microscopic information of tumors. The combination of pathomics and radiomics has revolutionized the concept of a "digital biopsy". As genomics and transcriptomics continue to evolve, integrating radiomics with genomic and transcriptomic datasets can offer further insights into tumor and microenvironment heterogeneity and establish correlations with biological significance. Therefore, the synergistic analysis of digital image features (radiomics, pathomics) and genetic phenotypes (genomics) can comprehensively decode and characterize the heterogeneity of the TME as well as predict cancer prognosis. This review presents a comprehensive summary of the research on important radiomics biomarkers for predicting the TME, emphasizing the interplay between radiomics, genomics, transcriptomics, and pathomics, as well as the application of multiomics in decoding the TME and predicting cancer prognosis. Finally, we discuss the challenges and opportunities in multiomics research. In conclusion, this review highlights the crucial role of radiomics and multiomics associations in the assessment of the TME and cancer prognosis. The combined analysis of radiomics, pathomics, genomics, and transcriptomics is a promising research direction with substantial research significance and value for comprehensive TME evaluation and cancer prognosis assessment.
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Affiliation(s)
- Wendi Kang
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Panjiayuan Nanli 17# Chaoyang District, Beijing, 100021, China
| | - Xiang Qiu
- Obstetrics and Gynecology Hospital of, Fudan University, Shanghai, 200011, China
| | - Yingen Luo
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Panjiayuan Nanli 17# Chaoyang District, Beijing, 100021, China
| | - Jianwei Luo
- Department of Diagnostic Radiology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, 283 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, China
| | - Yang Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junqing Xi
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Panjiayuan Nanli 17# Chaoyang District, Beijing, 100021, China
| | - Xiao Li
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Panjiayuan Nanli 17# Chaoyang District, Beijing, 100021, China
| | - Zhengqiang Yang
- Department of Interventional Therapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Panjiayuan Nanli 17# Chaoyang District, Beijing, 100021, China.
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Wang Y, Qiu X, Chen S, Pan D, Hua R, Li S, Chen Y, Pan N, Cai X, Li J, Zhao X, Wang J, Jing R, Xiang G, Zhang Z, Huang HF, Xu C, Zhang J. Noninvasive Evaluation of Fetal Zygosity in Twin Pregnancies Involving a Binary Analysis of Single-Nucleotide Polymorphisms. J Mol Diagn 2023; 25:682-691. [PMID: 37599029 DOI: 10.1016/j.jmoldx.2023.06.003] [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: 11/09/2022] [Revised: 05/03/2023] [Accepted: 06/01/2023] [Indexed: 08/22/2023] Open
Abstract
Twin pregnancy constitutes significant risks for maternal and fetal health, which is usually detected by ultrasound examination at early gestation. However, the imaging-based approach may not accurately identify all twins confounded by practical or clinical variables. The analysis of fetal cell-free DNA in noninvasive prenatal screening assays can completement the ultrasound method for twin detection, which differentiates fraternal or identical twins based on their distinct genotypes. Here, a new noninvasive prenatal screening employing high-coverage next-generation sequencing for targeted nucleotide polymorphisms was developed for detection of zygosity and determination of fetal fraction in twin pregnancies. This method utilizes a binary analysis of both the number and allelic fraction of fetus-specific single-nucleotide polymorphisms to infer the zygosity. In 323 samples collected from 215 singleton, 90 dizygotic, and 18 monozygotic twin pregnancies, all 90 dizygotic twins were correctly detected, with a 100% sensitivity and a 100% specificity. In addition, this method can detect complex pregnancies, such as egg donors, contamination, and twins with complete hydatidiform mole. The fetus-specific fetal fraction change was monitored in nine dizygotic twin pregnancies, which demonstrated highly variable dynamics of fetal cell-free DNA turnover up to 7 weeks after twin reduction. Overall, this study provides a new noninvasive prenatal screening strategy for the accurate identification of twin zygosity and quantification of fetal fraction, which has important clinical implications for the management of twin pregnancies.
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Affiliation(s)
- Yanlin Wang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
| | - Xiang Qiu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Songchang Chen
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Dong Pan
- Beijing BioBiggen Technology Co., Ltd., Beijing, China
| | - Renyi Hua
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shuyuan Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Yiyao Chen
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Nina Pan
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoqiang Cai
- Beijing BioBiggen Technology Co., Ltd., Beijing, China
| | - Jianli Li
- Beijing BioBiggen Technology Co., Ltd., Beijing, China
| | - Xin Zhao
- Beijing BioBiggen Technology Co., Ltd., Beijing, China
| | - Jing Wang
- Beijing BioBiggen Technology Co., Ltd., Beijing, China
| | - Ruilin Jing
- Beijing BioBiggen Technology Co., Ltd., Beijing, China
| | - Guangxin Xiang
- Beijing BioBiggen Technology Co., Ltd., Beijing, China; School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Zhiwei Zhang
- Beijing BioBiggen Technology Co., Ltd., Beijing, China
| | - He-Feng Huang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Chenming Xu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China
| | - Jinglan Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China; Beijing BioBiggen Technology Co., Ltd., Beijing, China.
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12
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Qiu X, Liang G, Zhou W, Sen R, Atchison ML. Multiple lineage-specific epigenetic landscapes at the antigen receptor loci. Aging Res 2023; 1:9340010. [PMID: 38770228 PMCID: PMC11103674 DOI: 10.26599/agr.2023.9340010] [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] [Indexed: 05/22/2024]
Abstract
Antigen receptors (AgRs) expressed on B and T cells provide the adaptive immune system with ability to detect numerous foreign antigens. Epigenetic features of B cell receptor (BCR) and T cell receptor (TCR) genes were previously studied in lymphocytes, but little is known about their epigenetic features in other cells. Here, we explored histone modifications and transcription markers at the BCR and TCR loci in lymphocytes (pro-B, DP T cells, and mature CD4+ T cells), compared to embryonic stem (ES) cells and neurons. In B cells, the BCR loci exhibited active histone modifications and transcriptional markers indicative of active loci. Similar results were observed at the TCR loci in T cells. All loci were largely inactive in neurons. Surprisingly, in ES cells all AgR loci displayed a high degree of active histone modifications and markers of active transcription. Locations of these active histone modifications in ES cells were largely distinct from those in pro-B cells, and co-localized at numerous binding locations for transcription factors Oct4, Sox2, and Nanog. ES and pro-B cells also showed distinct binding patterns for the ubiquitous transcription factor YY1 and chromatin remodeler Brg1. On the contrary, there were many overlapping CCCTC-binding factor (CTCF) binding patterns when comparing ES cells, pro-B cells, and neurons. Our study identifies epigenetic features in ES cells and lymphocytes that may be related to ES cell pluripotency and lymphocyte tissue-specific activation at the AgR loci.
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Affiliation(s)
- Xiang Qiu
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Guanxiang Liang
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Weiqiang Zhou
- Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Ranjan Sen
- Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Michael L. Atchison
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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Lin T, Chen D, Geng Y, Li J, Ou Y, Zeng Z, Yin C, Qian X, Qiu X, Li G, Zhang Y, Guan W, Li M, Cai X, Wu J, Chen WH, Guan YQ, Yao H. Carboxymethyl Chitosan/Sodium Alginate/Chitosan Quaternary Ammonium Salt Composite Hydrogel Supported 3J for the Treatment of Oral Ulcer. Gels 2023; 9:659. [PMID: 37623114 PMCID: PMC10454119 DOI: 10.3390/gels9080659] [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: 07/27/2023] [Revised: 08/11/2023] [Accepted: 08/14/2023] [Indexed: 08/26/2023] Open
Abstract
Oral ulcer is a common inflammatory disease of oral mucosa, causing severe burning pain and great inconvenience to daily life. In this study, compound 3J with anti-inflammatory activity was synthesized beforehand. Following that, an intelligent composite hydrogel supported 3J was designed with sodium alginate, carboxymethyl chitosan, and chitosan quaternary ammonium salt as the skeleton, and its therapeutic effect on the rat oral ulcer model was investigated. The results show that the composite hydrogel has a dense honeycomb structure, which is conducive to drug loading and wound ventilation, and has biodegradability. It has certain antibacterial effects and good anti-inflammatory activity. When loaded with 3J, it reduced levels of TNF-α and IL-6 in inflammatory cells by up to 50.0%. It has excellent swelling and water retention properties, with a swelling rate of up to 765.0% in a pH 8.5 environment. The existence of a large number of quaternary ammonium groups, carboxyl groups, and hydroxyl groups makes it show obvious differences in swelling in different pH environments, which proves that it has double pH sensitivity. It is beneficial to adapt to the highly dynamic changes of the oral environment. Compared with single hydrogel or drug treatment, the drug-loaded hydrogel has a better effect on the treatment of oral ulcers.
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Affiliation(s)
- Tao Lin
- School of Life Sciences, South China Normal University, Guangzhou 510631, China;
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Dandan Chen
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China; (X.C.); (J.W.); (W.-H.C.)
| | - Yan Geng
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Jiayu Li
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Yanghui Ou
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Zhijun Zeng
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Canqiang Yin
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Xudong Qian
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China; (X.C.); (J.W.); (W.-H.C.)
| | - Xiang Qiu
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China; (X.C.); (J.W.); (W.-H.C.)
| | - Gang Li
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Yali Zhang
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Wen Guan
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Mengjie Li
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
| | - Xiaojia Cai
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China; (X.C.); (J.W.); (W.-H.C.)
| | - Jiaqiang Wu
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China; (X.C.); (J.W.); (W.-H.C.)
| | - Wen-Hua Chen
- School of Biotechnology and Health Sciences, Wuyi University, Jiangmen 529020, China; (X.C.); (J.W.); (W.-H.C.)
| | - Yan-Qing Guan
- School of Life Sciences, South China Normal University, Guangzhou 510631, China;
| | - Hongliang Yao
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China; (D.C.); (Y.G.); (J.L.); (Y.O.); (Z.Z.); (C.Y.); (X.Q.); (X.Q.); (G.L.); (Y.Z.); (W.G.); (M.L.)
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14
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Liu Z, Qiu X, Yang H, Wu X, Ye W. [Inhibitor of growth protein-2 silencing alleviates angiotensin Ⅱ-induced cardiac remodeling in mice by reducing p53 acetylation]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1127-1135. [PMID: 37488795 PMCID: PMC10366506 DOI: 10.12122/j.issn.1673-4254.2023.07.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the effect of inhibitor of growth protein-2 (Ing2) silencing on angiotensin Ⅱ (AngⅡ)-induced cardiac remodeling in mice and explore the underlying mechanism. METHODS An adenoviral vector carrying Ing2 shRNA or empty adenoviral vector was injected into the tail vein of mice, followed 48 h later by infusion of 1000 ng · kg-1 · min-1 Ang Ⅱ or saline using a mini-osmotic pump for 42 consecutive days. Transthoracic echocardiography was used to assess cardiac geometry and function and the level of cardiac hypertrophy in the mice. Masson and WGA staining were used to detect myocardial fibrosis and cross-sectional area of cardiomyocytes, and myocardial cell apoptosis was detected with TUNEL assay. Western blotting was performed to detect myocardial expressions of cleaved caspase 3, ING2, collagen Ⅰ, Ac-p53(Lys382) and p-p53 (Ser15); Ing2 mRNA expression was detected using real-time PCR. Mitochondrial biogenesis, as measured by mitochondrial ROS content, ATP content, citrate synthase activity and calcium storage, was determined using commercial assay kits. RESULTS The expression levels of Ing2 mRNA and protein were significantly higher in the mice with chronic Ang Ⅱ infusion than in saline-infused mice. Chronic infusion of AngⅡ significantly increased the left ventricular end-systolic diameter (LVESD) and left ventricular end-diastolic diameter (LVEDD) and reduced left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) in the mice. Ing2 silencing obviously alleviated AngⅡ-induced cardiac function decline, as shown by decreased LVEDD and LVESD and increased LVEF and LVFS, improved myocardial mitochondrial damage and myocardial hypertrophy and fibrosis, and inhibited cardiomyocyte apoptosis. Chronic AngⅡ infusion significantly increased myocardial expression levels of Ac-p53(Lys382) and p-p53(Ser15) in the mice, and Ing2 silencing prior to AngⅡ infusion lessened AngⅡ- induced increase of Ac-p53(Lys382) without affecting p53 (ser15) expression. CONCLUSION Ing2 silencing can inhibit AngⅡ-induced cardiac remodeling and dysfunction in mice by reducing p53 acetylation.
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Affiliation(s)
- Z Liu
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Qiu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - H Yang
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Wu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - W Ye
- Guangzhou University of Chinese Medicine, Guangzhou 510006, China
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Zhou W, He J, Zhang C, Pan Y, Sang T, Qiu X. Fiber-specific white matter alterations in Parkinson's disease patients with freezing of gait. Brain Res 2023:148440. [PMID: 37271491 DOI: 10.1016/j.brainres.2023.148440] [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: 11/20/2022] [Revised: 05/24/2023] [Accepted: 05/30/2023] [Indexed: 06/06/2023]
Abstract
Freezing of gait (FOG) is a gait disorder that usually occurs in advanced stages of Parkinson's disease (PD). Understanding the underlying mechanism of FOG is important for treatment and prevention. Previous studies have investigated white matter (WM) structure to explore the pathology of FOG. However, the pathology is still unclear, possibly due to the methodological limitation in identifying specific fiber tracts. This study aimed to investigate tract-specific WM structural changes in FOG patients and their relationships with clinical characteristics. We enrolled 19 PD patients with FOG (PD-FOG), 19 without FOG (PD-woFOG) and 21 controls. Fixel-based analysis is a novel framework to avoid the effect of crossing fibers, which provides the metrics to assess WM morphology. By combining a method for segmenting fibers, we identified abnormalities in the specific fiber tracts. Compared to PD-woFOG, PD-FOG showed significant increased fiber-bundle cross-section (FC) in the corpus callosum (CC), fornix (FX), inferior longitudinal fasciculus (ILF), striato-premotor (ST_PREM), superior thalamic radiation (STR), thalamo-premotor (T_PREM), increased fiber density and cross-section (FDC) in the STR, and decreased fiber density (FD) in the CC and ILF. Additionally, the ILF was correlated with motor, cognition and memory, the CC was correlated with anxiety, and the T_PREM was also correlated with cognition. In conclusion, in addition to impairments of WM found in PD-FOG, we found enhancements in WM, which may imply compensatory mechanisms. Furthermore, multiple fiber tracts were correlated with clinical characteristics, especially the ILF, validating the involvement of transmission circuits of multiple distinct information in mechanisms of FOG.
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Affiliation(s)
- Wenyang Zhou
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China
| | - Jianzhong He
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China
| | - Chengzhe Zhang
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China
| | - Yiang Pan
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China
| | - Tian Sang
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China
| | - Xiang Qiu
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China; Department of Automation, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China.
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16
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Erchick DJ, Hazel EA, Katz J, Lee ACC, Diaz M, Wu LSF, Yoshida S, Bahl R, Grandi C, Labrique AB, Rashid M, Ahmed S, Roy AD, Haque R, Shaikh S, Baqui AH, Saha SK, Khanam R, Rahman S, Shapiro R, Zash R, Silveira MF, Buffarini R, Kolsteren P, Lachat C, Huybregts L, Roberfroid D, Zeng L, Zhu Z, He J, Qiu X, Gebreyesus SH, Tesfamariam K, Bekele D, Chan G, Baye E, Workneh F, Asante KP, Kaali EB, Adu-Afarwuah S, Dewey KG, Gyaase S, Wylie BJ, Kirkwood BR, Manu A, Thulasiraj RD, Tielsch J, Chowdhury R, Taneja S, Babu GR, Shriyan P, Ashorn P, Maleta K, Ashorn U, Mangani C, Acevedo-Gallegos S, Rodriguez-Sibaja MJ, Khatry SK, LeClerq SC, Mullany LC, Jehan F, Ilyas M, Rogerson SJ, Unger HW, Ghosh R, Musange S, Ramokolo V, Zembe-Mkabile W, Lazzerini M, Rishard M, Wang D, Fawzi WW, Minja DTR, Schmiegelow C, Masanja H, Smith E, Lusingu JPA, Msemo OA, Kabole FM, Slim SN, Keentupthai P, Mongkolchati A, Kajubi R, Kakuru A, Waiswa P, Walker D, Hamer DH, Semrau KEA, Chaponda EB, Chico RM, Banda B, Musokotwane K, Manasyan A, Pry JM, Chasekwa B, Humphrey J, Black RE. Vulnerable newborn types: analysis of subnational, population-based birth cohorts for 541 285 live births in 23 countries, 2000-2021. BJOG 2023. [PMID: 37156239 DOI: 10.1111/1471-0528.17510] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 04/04/2023] [Accepted: 04/07/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE To examine prevalence of novel newborn types among 541 285 live births in 23 countries from 2000 to 2021. DESIGN Descriptive multi-country secondary data analysis. SETTING Subnational, population-based birth cohort studies (n = 45) in 23 low- and middle-income countries (LMICs) spanning 2000-2021. POPULATION Liveborn infants. METHODS Subnational, population-based studies with high-quality birth outcome data from LMICs were invited to join the Vulnerable Newborn Measurement Collaboration. We defined distinct newborn types using gestational age (preterm [PT], term [T]), birthweight for gestational age using INTERGROWTH-21st standards (small for gestational age [SGA], appropriate for gestational age [AGA] or large for gestational age [LGA]), and birthweight (low birthweight, LBW [<2500 g], nonLBW) as ten types (using all three outcomes), six types (by excluding the birthweight categorisation), and four types (by collapsing the AGA and LGA categories). We defined small types as those with at least one classification of LBW, PT or SGA. We presented study characteristics, participant characteristics, data missingness, and prevalence of newborn types by region and study. RESULTS Among 541 285 live births, 476 939 (88.1%) had non-missing and plausible values for gestational age, birthweight and sex required to construct the newborn types. The median prevalences of ten types across studies were T+AGA+nonLBW (58.0%), T+LGA+nonLBW (3.3%), T+AGA+LBW (0.5%), T+SGA+nonLBW (14.2%), T+SGA+LBW (7.1%), PT+LGA+nonLBW (1.6%), PT+LGA+LBW (0.2%), PT+AGA+nonLBW (3.7%), PT+AGA+LBW (3.6%) and PT+SGA+LBW (1.0%). The median prevalence of small types (six types, 37.6%) varied across studies and within regions and was higher in Southern Asia (52.4%) than in Sub-Saharan Africa (34.9%). CONCLUSIONS Further investigation is needed to describe the mortality risks associated with newborn types and understand the implications of this framework for local targeting of interventions to prevent adverse pregnancy outcomes in LMICs.
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Affiliation(s)
- D J Erchick
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - E A Hazel
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - J Katz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - A C C Lee
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - M Diaz
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - L S F Wu
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S Yoshida
- Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - R Bahl
- Department of Maternal, Newborn, Child and Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - C Grandi
- Argentine Society of Paediatrics, Ciudad Autónoma de Buenos Aires, Argentina
| | - A B Labrique
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - M Rashid
- IntraHealth International, Dhaka, Bangladesh
| | - S Ahmed
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | - A D Roy
- Projahnmo Research Foundation, Dhaka, Bangladesh
| | - R Haque
- JiVitA Maternal and Child Health Research Project, Rangpur, Bangladesh
| | - S Shaikh
- JiVitA Maternal and Child Health Research Project, Rangpur, Bangladesh
| | - A H Baqui
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S K Saha
- Child Health Research Foundation, Dhaka, Bangladesh
| | - R Khanam
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - S Rahman
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - R Shapiro
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - R Zash
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - M F Silveira
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - R Buffarini
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - P Kolsteren
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - C Lachat
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
| | - L Huybregts
- Department of Food Technology, Safety and Health, Ghent University, Ghent, Belgium
- Poverty, Health and Nutrition Division, International Food Policy Research Institute, Washington, DC, USA
| | - D Roberfroid
- Medicine Department, Faculty of Medicine, University of Namur, Namur, Belgium
| | - L Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Z Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - J He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - X Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, China
| | - S H Gebreyesus
- Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - K Tesfamariam
- Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - D Bekele
- Department of Obstetrics and Gynecology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - G Chan
- Department of Obstetrics and Gynecology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - E Baye
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - F Workneh
- Addis Continental Institute of Public Health, Addis Ababa, Ethiopia
| | - K P Asante
- Kintampo Health Research Centre, Research and Development Division, Kintampo, Ghana
| | - E B Kaali
- Kintampo Health Research Centre, Research and Development Division, Kintampo, Ghana
| | - S Adu-Afarwuah
- Department of Nutrition and Food Science, University of Ghana, Accra, Ghana
| | - K G Dewey
- Institute for Global Nutrition, Department of Nutrition, University of California, Davis, California, USA
| | - S Gyaase
- Department of Statistics, Kintampo Health Research Centre, Kintampo, Ghana
| | - B J Wylie
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York, USA
| | - B R Kirkwood
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - A Manu
- Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- University of Ghana School of Public Health, Accra, Ghana
| | | | - J Tielsch
- Department of Global Health, Milken Institute School of Public Health, George Washington University, Washington, DC, USA
| | - R Chowdhury
- Centre for Health Research and Development, Society for Applied Studies, Delhi, India
| | - S Taneja
- Centre for Health Research and Development, Society for Applied Studies, Delhi, India
| | - G R Babu
- Department of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar
| | - P Shriyan
- Indian Institute of Public Health, Public Health Foundation of India, Bengaluru, India
| | - P Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - K Maleta
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - U Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University and Tampere University Hospital, Tampere, Finland
| | - C Mangani
- School of Global and Public Health, Kamuzu University of Health Sciences, Blantyre, Malawi
| | - S Acevedo-Gallegos
- National Institute of Perinatology, Maternal-Fetal Medicine Department, Mexico City, Mexico
| | - M J Rodriguez-Sibaja
- National Institute of Perinatology, Maternal-Fetal Medicine Department, Mexico City, Mexico
| | - S K Khatry
- Nepal Nutrition Intervention Project - Sarlahi (NNIPS), Kathmandu, Nepal
| | - S C LeClerq
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Nepal Nutrition Intervention Project - Sarlahi (NNIPS), Kathmandu, Nepal
| | - L C Mullany
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - F Jehan
- Department of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan
| | - M Ilyas
- The Aga Khan University, Karachi, Pakistan
| | - S J Rogerson
- Department of Infectious Diseases, University of Melbourne, Doherty Institute, Melbourne, Victoria, Australia
| | - H W Unger
- Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia
| | - R Ghosh
- Institute for Global Health Sciences, Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - S Musange
- School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
| | - V Ramokolo
- HIV and Other Infectious Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
- Gertrude H Sergievsky Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York, USA
| | - W Zembe-Mkabile
- Health Systems Research Unit, South African Medical Research Council, Cape Town, South Africa
- College Graduate of Studies, University of South Africa, Johannesburg, South Africa
| | - M Lazzerini
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', WHO Collaborating Centre for Maternal and Child Health, Trieste, Italy
| | - M Rishard
- University Obstetrics Unit, De Soysa Hospital for Women, Colombo, Sri Lanka
- Department of Obstetrics & Gynaecology, University of Colombo, Colombo, Sri Lanka
| | - D Wang
- Department of Global and Community Health, College of Public Health, George Mason University, Fairfax, Virginia, USA
| | - W W Fawzi
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - D T R Minja
- National Institute for Medical Research, Tanga Centre, Tanga, Tanzania
| | - C Schmiegelow
- Centre for Medical Parasitology, Department for Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - H Masanja
- Ifakara Health Institute, Dar es Salaam, Tanzania
| | - E Smith
- Department of Global Health, Milken Institute School of Public Health, Washington, DC, USA
| | - J P A Lusingu
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - O A Msemo
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | - F M Kabole
- Ministry of Health Zanzibar, Zanzibar, Tanzania
| | - S N Slim
- Ministry of Health Zanzibar, Zanzibar, Tanzania
| | - P Keentupthai
- College of Medicine and Public Health, Ubon Ratchathani University, Ubon Ratchathani, Thailand
| | - A Mongkolchati
- ASEAN Institute for Health Development, Mahidol University, Salaya, Thailand
| | - R Kajubi
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - A Kakuru
- Infectious Diseases Research Collaboration, Kampala, Uganda
| | - P Waiswa
- Department of Health Policy Planning and Management, Makerere University School of Public Health, New Mulago Hospital Complex, Kampala, Uganda
- Division of Global Health, Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden
| | - D Walker
- Institute for Global Health Sciences and Department of Obstetrics and Gynecology, University of California San Francisco, San Francisco, California, USA
| | - D H Hamer
- Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA
- Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA
| | - K E A Semrau
- Ariadne Labs, Brigham and Women's Hospital and Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Global Health Equity & Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - E B Chaponda
- Department of Biological Sciences, School of Natural Sciences, University of Zambia, Lusaka, Zambia
| | - R M Chico
- Department of Disease Control, Faculty of Infectious & Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - B Banda
- Research Unit for Environmental Sciences and Management, North-West University, Potchefstroom, South Africa
| | - K Musokotwane
- Health Specialist PMTCT and Pediatric AIDS, UNICEF, Lusaka, Zambia
| | - A Manasyan
- University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - J M Pry
- Centre for Infectious Disease Research in Zambia, Lusaka, Zambia
| | - B Chasekwa
- Zvitambo Institute for Maternal and Child Health Research, Harare, Zimbabwe
| | - J Humphrey
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - R E Black
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Qiu X, Sun X, Li HO, Wang DH, Zhang SM. Maternal alcohol consumption and risk of postpartum depression: a meta-analysis of cohort studies. Public Health 2022; 213:163-170. [PMID: 36423494 DOI: 10.1016/j.puhe.2022.08.020] [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: 12/09/2021] [Revised: 06/30/2022] [Accepted: 08/30/2022] [Indexed: 11/22/2022]
Abstract
OBJECTIVES The relationship between maternal alcohol consumption and postpartum depression (PPD) is still controversial. The objective of the present study was to assess the association between maternal alcohol consumption and the risk of developing PPD by means of a meta-analysis of cohort studies. STUDY DESIGN This was a meta-analysis. METHODS PubMed, Web of Science, Embase, Cochrane Library, China Biology Medicine disc, Chinese National Knowledge Infrastructure, Weipu, and Wanfang databases were searched up to February 4, 2021, to identify relevant studies that evaluated the association between maternal alcohol consumption and PPD. Meta-analysis was conducted using RevMan software and Stata software. Subgroup and sensitivity analyses were performed to explore the potential heterogeneity source, and Begg's funnel plots and Begg's linear regression test were conducted to assess the potential publication bias. RESULTS A total of 12 studies involving 50,377 participants were identified in our study. Overall, pregnant women who were exposed to alcohol were at a significantly greater risk of developing PPD compared with those who did not consume alcohol (odds ratio = 1.21; 95% confidence interval: 1.04-1.41; P = 0.020). CONCLUSIONS Maternal alcohol consumption is significantly associated with the risk of developing PPD. These results emphasize the necessity of enhancing health awareness, improving the public health policies and regulations concerning alcohol use, and strengthening the prevention and intervention of maternal alcohol consumption to promote maternal mental health.
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Affiliation(s)
- X Qiu
- Department of Nursing, Xiangya School of Nursing, Central South University, Changsha, Hunan, China
| | - X Sun
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - H O Li
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - D H Wang
- Department of Humanistic Nursing, School of Nursing, Changsha Medical University, Changsha, Hunan, China
| | - S M Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
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Li R, Wang Z, Xu H, Jiang C, Wang N, Li X, Qiu X, Wang X. Genetic Diversity among Takifugu rubripes and Takifugu obscurus in Different Regions of China Based on Mitochondrial DNA Sequencing Data. RUSS J GENET+ 2022. [DOI: 10.1134/s1022795422120079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Zhuang J, Zhang S, Qiu X, Guo H. 175TiP A prospective phase II study to investigate the efficacy and safety of olaparib plus abiraterone and prednisone combination therapy in mHSPC patients with HRR gene mutation. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
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Spohn S, Draulans C, Kishan A, Spratt D, Ross A, Maurer T, Tilki D, Berlin A, Blanchard P, Collins S, Bronsert P, Chen R, Dal Pra A, De Meerler G, Eade T, Haustermans K, Hölscher T, Höcht S, Ghadjar P, Davicioni E, Heck M, Kerkmeijer L, Kirste S, Tselis N, Tran P, Pinkawa M, Pommier P, Deltas C, Schmidt-Hegemann NS, Wiegel T, Zilli T, Tree A, Qiu X, Murthy V, Epstein J, Graztke C, Grosu A, Kamran S, Zamboglou C, Pinkawa. Genomic classifiers in personalized prostate cancer radiotherapy approaches – a systematic review and future perspectives based on international consensus. EUR UROL SUPPL 2022. [DOI: 10.1016/s2666-1683(22)02485-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
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21
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Zhang HX, Cao C, Li XH, Chen Y, Zhang Y, Liu Y, Gong Y, Qiu X, Zhou C, Chen Y, Wang Z, Yang JX, Cheng L, Chen XD, Shen H, Xiao HM, Tan LJ, Deng HW. Imputation of Human Primary Osteoblast Single Cell RNA-Seq Data Identified Three Novel Osteoblastic Subtypes. FRONT BIOSCI-LANDMRK 2022; 27:295. [PMID: 36336853 PMCID: PMC11097352 DOI: 10.31083/j.fbl2710295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/01/2022] [Accepted: 07/14/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND Recently, single-cell RNA sequencing (scRNA-seq) technology was increasingly used to study transcriptomics at a single-cell resolution, scRNA-seq analysis was complicated by the "dropout", where the data only captures a small fraction of the transcriptome. This phenomenon can lead to the fact that the actual expressed transcript may not be detected. We previously performed osteoblast subtypes classification and dissection on freshly isolated human osteoblasts. MATERIALS AND METHODS Here, we used the scImpute method to impute the missing values of dropout genes from a scRNA-seq dataset generated on freshly isolated human osteoblasts. RESULTS Based on the imputed gene expression patterns, we discovered three new osteoblast subtypes. Specifically, these newfound osteoblast subtypes are osteoblast progenitors, and two undetermined osteoblasts. Osteoblast progenitors showed significantly high expression of proliferation related genes (FOS, JUN, JUNB and JUND). Analysis of each subtype showed that in addition to bone formation, these undetermined osteoblasts may involve osteoclast and adipocyte differentiation and have the potential function of regulate immune activation. CONCLUSIONS Our findings provided a new perspective for studying the osteoblast heterogeneity and potential biological functions of these freshly isolated human osteoblasts at the single-cell level, which provides further insight into osteoblasts subtypes under various (pathological) physiological conditions.
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Affiliation(s)
- Hui-Xi Zhang
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Chong Cao
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Xiao-Hua Li
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Yan Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Yue Zhang
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Ying Liu
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Yun Gong
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Xiang Qiu
- School of Basic Medical Science, Central South University, 410008 Changsha, Hunan, China
| | - Cui Zhou
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Yu Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Zun Wang
- Xiangya Nursing School, Central South University, 410013 Changsha, Hunan, China
| | - Jun-Xiao Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, 410008 Changsha, Hunan, China
| | - Liang Cheng
- Department of Orthopedics and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, 410008 Changsha, Hunan, China
| | - Xiang-Ding Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Hui Shen
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Hong-Mei Xiao
- School of Basic Medical Science, Central South University, 410008 Changsha, Hunan, China
- Center of Reproductive Health, System Biology and Data Information, Institute of Reproductive & Stem Cell Engineering, School of Basic Medical Science, Central South University, 410081 Changsha, Hunan, China
| | - Li-Jun Tan
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
| | - Hong-Wen Deng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, 410081 Changsha, Hunan, China
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA
- School of Basic Medical Science, Central South University, 410008 Changsha, Hunan, China
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22
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Pan BY, Xu Y, Ni JM, Zhou SY, Hong XC, Qiu X, Li SY. Unambiguous Experimental Verification of Linear-in-Temperature Spinon Thermal Conductivity in an Antiferromagnetic Heisenberg Chain. Phys Rev Lett 2022; 129:167201. [PMID: 36306770 DOI: 10.1103/physrevlett.129.167201] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 08/07/2022] [Accepted: 09/15/2022] [Indexed: 06/16/2023]
Abstract
The everlasting interest in spin chains is mostly rooted in the fact that they generally allow for comparisons between theory and experiment with remarkable accuracy, especially for exactly solvable models. A notable example is the spin-1/2 antiferromagnetic Heisenberg chain (AFHC), which can be well described by the Tomonaga-Luttinger liquid theory and exhibits fractionalized spinon excitations with distinct thermodynamic and spectroscopic experimental signatures consistent with theoretical predictions. A missing piece, however, is the lack of a comprehensive understanding of the spinon heat transport in AFHC systems, due to difficulties in its experimental evaluation against the backdrop of other heat carriers and complex scattering processes. Here we address this situation by performing ultralow-temperature thermal conductivity measurements on a nearly ideal spin-1/2 AFHC system copper benzoate Cu(C_{6}H_{5}COO)_{2}·3H_{2}O, whose field-dependent spin excitation gap enables a reliable extraction of the spinon thermal conductivity κ_{s} at zero field. κ_{s} was found to exhibit a linear temperature dependence κ_{s}∼T at low temperatures, with κ_{s}/T as large as 1.70 mW cm^{-1} K^{-2}, followed by a precipitate decline below ∼0.3 K. The observed κ_{s}∼T clarifies the discrepancies between various spin chain systems and serves as a benchmark for one-dimensional spinon heat transport in the low-temperature limit. The abrupt loss of κ_{s} with no corresponding anomaly in the specific heat is discussed in the context of many-body localization.
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Affiliation(s)
- B Y Pan
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
- School of Physics and Optoelectronic Engineering, Ludong University, Yantai, Shandong 264025, China
| | - Y Xu
- Key Laboratory of Polar Materials and Devices (MOE), School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China
| | - J M Ni
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - S Y Zhou
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - X C Hong
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - X Qiu
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
| | - S Y Li
- State Key Laboratory of Surface Physics and Department of Physics, Fudan University, Shanghai 200438, China
- Collaborative Innovation Center of Advanced Microstructures, Nanjing 210093, China
- Shanghai Research Center for Quantum Sciences, Shanghai, 201315, China
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23
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Xu C, Li J, Chen S, Cai X, Jing R, Qin X, Pan D, Zhao X, Ma D, Xu X, Liu X, Wang C, Yang B, Zhang L, Li S, Chen Y, Pan N, Tang P, Song J, Liu N, Zhang C, Zhang Z, Qiu X, Lu W, Ying C, Li X, Xu C, Wang Y, Wu Y, Huang HF, Zhang J. Genetic deconvolution of fetal and maternal cell-free DNA in maternal plasma enables next-generation non-invasive prenatal screening. Cell Discov 2022; 8:109. [PMID: 36229437 PMCID: PMC9562363 DOI: 10.1038/s41421-022-00457-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 08/09/2022] [Indexed: 11/09/2022] Open
Abstract
Current non-invasive prenatal screening (NIPS) analyzes circulating fetal cell-free DNA (cfDNA) in maternal peripheral blood for selected aneuploidies or microdeletion/duplication syndromes. Many genetic disorders are refractory to NIPS largely because the maternal genetic material constitutes most of the total cfDNA present in the maternal plasma, which hinders the detection of fetus-specific genetic variants. Here, we developed an innovative sequencing method, termed coordinative allele-aware target enrichment sequencing (COATE-seq), followed by multidimensional genomic analyses of sequencing read depth, allelic fraction, and linked single nucleotide polymorphisms, to accurately separate the fetal genome from the maternal background. Analytical confounders including multiple gestations, maternal copy number variations, and absence of heterozygosity were successfully recognized and precluded for fetal variant analyses. In addition, fetus-specific genomic characteristics, including the cfDNA fragment length, meiotic error origins, meiotic recombination, and recombination breakpoints were identified which reinforced the fetal variant assessment. In 1129 qualified pregnancies tested, 54 fetal aneuploidies, 8 microdeletions/microduplications, and 8 monogenic variants were detected with 100% sensitivity and 99.3% specificity. Using the comprehensive cfDNA genomic analysis tools developed, we found that 60.3% of aneuploidy samples had aberrant meiotic recombination providing important insights into the mechanism underlying meiotic nondisjunctions. Altogether, we show that the genetic deconvolution of the fetal and maternal cfDNA enables thorough and accurate delineation of fetal genome which paves the way for the next-generation prenatal screening of essentially all types of human genetic disorders.
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Affiliation(s)
- Chenming Xu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China. .,International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Jianli Li
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Songchang Chen
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.,International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,State Key Laboratory of Genetic Engineering and MOE Engineering Research Center of Gene Technology, School of Life Sciences, Fudan University, Shanghai, China
| | - Xiaoqiang Cai
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Ruilin Jing
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Xiaomei Qin
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Dong Pan
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Xin Zhao
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Dongyang Ma
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Xiufeng Xu
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Xiaojun Liu
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Can Wang
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Bingxin Yang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Lanlan Zhang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shuyuan Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yiyao Chen
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Nina Pan
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ping Tang
- Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang, China
| | - Jieping Song
- Medical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China
| | - Nian Liu
- Medical Genetics Center, Maternal and Child Health Hospital of Hubei Province, Wuhan, Hubei, China
| | - Chen Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China.,International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhiwei Zhang
- Beijing BioBiggen Technology Co., Ltd, Beijing, China
| | - Xiang Qiu
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Weiliang Lu
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Chunmei Ying
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Xiaotian Li
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Congjian Xu
- Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Yanlin Wang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yanting Wu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China. .,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
| | - He-Feng Huang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China. .,International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. .,Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China. .,Research Units of Embryo Original Diseases, Chinese Academy of Medical Sciences, Shanghai, China.
| | - Jinglan Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, Shanghai, China. .,International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. .,Beijing BioBiggen Technology Co., Ltd, Beijing, China.
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24
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Shen WD, Lin X, Liu HM, Li BY, Qiu X, Lv WQ, Zhu XZ, Greenbaum J, Liu RK, Shen J, Xiao HM, Deng HW. Gut microbiota accelerates obesity in peri-/post-menopausal women via Bacteroides fragilis and acetic acid. Int J Obes (Lond) 2022; 46:1918-1924. [PMID: 35978102 DOI: 10.1038/s41366-022-01137-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/25/2022] [Accepted: 04/28/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Many animal experiments and epidemiological studies have shown that the gut microbiota (GM) plays an important role in the development of obesity, but the specific biological mechanism involved in the pathogenesis of disease remain unknown. We aimed to examine the relationships and functional mechanisms of GM on obesity in peri- and post-menopausal women. METHODS We recruited 499 Chinese peri- and post-menopausal women and performed comprehensive analyses of the gut microbiome, targeted metabolomics for short-chain fatty acids in serum, and host whole-genome sequencing by various association analysis methods. RESULTS Through constrained linear regression analysis, we found that an elevated abundance of Bacteroides fragilis (B. fragilis) was associated with obesity. We also found that serum levels of acetic acid were negatively associated with obesity, and that B. fragilis was negatively associated with serum acetic acid levels by partial Spearman correlation analysis. Mendelian randomization analysis indicated that B. fragilis increases the risk of obesity and may causally down-regulate acetic acid levels. CONCLUSIONS We found the gut with B. fragilis may accelerate obesity, in part, by suppressing acetic acid levels. Therefore, B. fragilis and acetic acid may represent important therapeutic targets for obesity intervention in peri- and post-menopausal women.
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Affiliation(s)
- Wen-Di Shen
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Xu Lin
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Hui-Min Liu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Bo-Yang Li
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Xiang Qiu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Wan-Qiang Lv
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Xue-Zhen Zhu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Jonathan Greenbaum
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Rui-Ke Liu
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Jie Shen
- Shunde Hospital of Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan, 528300, Guangdong, China
| | - Hong-Mei Xiao
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China.
| | - Hong-Wen Deng
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
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25
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Zeng R, Wu H, Qiu X, Zhuo Z, Sha W, Chen H. Predicting survival and immune microenvironment in colorectal cancer: a STAT signaling-related signature. QJM 2022; 115:596-604. [PMID: 34978566 DOI: 10.1093/qjmed/hcab334] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 12/17/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Despite research advances, studies on predictive models of colorectal cancer (CRC) remain scarce and none have evaluated signal transducer and activator of transcription (STAT) signaling. AIM To develop an effective prognostic signature for and evaluate its association with immune microenvironment. DESIGN Comprehensive analysis based on The Cancer Genome Atlas and Gene Expression Omnibus databases with experimental validation. METHODS Gene expression and clinical profiles of CRC patients were extracted from the databases. Differentially expressed genes with prognostic values were used to construct a signature. Immune cell infiltration and composition were further evaluated by TIMER, single-sample gene set enrichment and CIBERSORT analyses. The impact of the hub gene Caveolin-1 (CAV1) on cell proliferation, apoptosis, senescence and tumor angiogenesis was experimentally validated. RESULTS The five-gene-based STAT signaling-related prognostic signature was significantly associated with CRC survival, and the nomogram was with improved prognostic efficacy than the conventional TNM stage. The STAT signaling-related signature was correlated with tumor immune microenvironment. CAV1 was further identified as the hub gene within the signature. CAV1 inhibits the proliferation and induces the apoptosis as well as senescence of CRC cells. In addition, the tumor angiogenesis of CRC can be suppressed by CAV1 overexpression. CONCLUSIONS The STAT signaling-related signature effectively predicts the prognosis and regulates tumor immune microenvironment in CRC. Our study underscores the role of STAT regulator, CAV1, as an important tumor suppressor in CRC carcinogenesis. Modulating STAT and its regulators could be a promising strategy for CRC in clinical practice.
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Affiliation(s)
- R Zeng
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- Shantou University Medical College, Shantou 515041, Jinping District, Guangdong, China
| | - H Wu
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - X Qiu
- Zhuguang Community Healthcare Center, Guangzhou 510080, Yuexiu District, Guangdong, China
| | - Z Zhuo
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - W Sha
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Baiyun District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
| | - H Chen
- From the Department of Gastroenterology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, Yuexiu District, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou 510515, Baiyun District, Guangdong, China
- School of Medicine, South China University of Technology, Guangzhou 510006, Panyu District, Guangdong, China
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26
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He J, Wang B, Tao J, Liu Q, Peng M, Qiu X, Yang Y, Ye Z, Liu D, W. li, Chen Z, Zeng Q, Fan J, Liang W. 905MO Synergistic combination of clinical, imaging and DNA methylation biomarkers improves the classification of pulmonary nodules. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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27
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Wu Y, Chen B, Su L, Qiu X, Hu X, Li W. Diagnostic value of double low-dose targeted perfusion CT imaging for the diagnosis of invasive and preinvasive pulmonary ground-glass nodules: systematic review and meta-analysis. Transl Cancer Res 2022; 11:2823-2833. [PMID: 36093551 PMCID: PMC9459560 DOI: 10.21037/tcr-22-790] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 07/18/2022] [Indexed: 11/25/2022]
Abstract
Background This study aimed to systematically evaluate and compare the diagnostic value of bubble lucency, interface, lobulated margin and spiculation in distinguishing early invasive and preinvasive intrapulmonary ground-glass nodules (GGNs) using evidence-based meta-analysis methods. Dual low-dose targeted perfusion computed tomography (CT) imaging is controversial in the diagnosis of invasive and preinvasive ground-glass nodules. Different studies have different views and opinions. Therefore, it is necessary to conduct a systematic review of this subject in the form of meta-analysis to guide clinical diagnosis and treatment. Methods PubMed, Web of Science, Cochrane library and Embase were searched for recent documentation on the diagnostic value of different signs in invasive and preinvasive pulmonary GGNs. CT imaging signs of bubble lucency, speculation, interface, lobulated margin, and spiculation were used as diagnostic references to discriminate pre‐invasive and invasive disease. The sensitivity, specificity, summary receiver operating characteristic (SROC) curves, and the area under the SROC curve (AUC) were calculated to evaluate diagnostic efficiency. Results The diagnostic sensitivity and specificity using bubble lucency as a reference of invasive ground-glass opacity (GGO) discrimination was 0.33 (0.24–0.44) and 0.74 (0.62–0.83) respectively. For interface, lobulated margin, and speculation, the diagnostic sensitivity were 0.30 (0.21–0.41), 0.49 (0.39–0.60) and 0.22 (0.14–0.33); and the specificity were 0.83 (0.74–0.89), 0.66 (0.49–0.80) and 0.86 (0.67–0.95). The pooled ROC curve was drawn by sensitivity against 1-specificity using Stata version 15.0. The area under the ROC curve (AUC) values were 0.53, 0.60, 0.58, and 0.43 for bubble lucency, speculation, lobulated margin, and pleural indentation of GGO for discriminating pre‐invasive and invasive disease. Conclusions The diagnostic value of a single CT imaging sign of GGO, such as bubble lucency, speculation, interface, lobulated margin, and spiculation is limited for discriminating pre‐invasive and invasive disease because of low sensitivity, specificity, and AUC.
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Affiliation(s)
- Yu Wu
- Department of Radiology, Chengdu First People's Hospital (Integrated TCM & Western Medicine Hospital Affiliated to Chengdu University of TCM), Chengdu, China
| | - Bao Chen
- Department of Radiology, Chengdu First People's Hospital (Integrated TCM & Western Medicine Hospital Affiliated to Chengdu University of TCM), Chengdu, China
| | - Li Su
- Department of Radiology, Chengdu First People's Hospital (Integrated TCM & Western Medicine Hospital Affiliated to Chengdu University of TCM), Chengdu, China
| | - Xiang Qiu
- Department of Radiology, Chengdu First People's Hospital (Integrated TCM & Western Medicine Hospital Affiliated to Chengdu University of TCM), Chengdu, China
| | - Xiaoyan Hu
- Department of Radiology, Chengdu First People's Hospital (Integrated TCM & Western Medicine Hospital Affiliated to Chengdu University of TCM), Chengdu, China
| | - Wenbo Li
- Department of Radiology, Chengdu First People's Hospital (Integrated TCM & Western Medicine Hospital Affiliated to Chengdu University of TCM), Chengdu, China
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28
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Xiao Y, Qiu X. A Study of the Relationship Between Students’ Global Perspective and Willingness to Communicate in English at an English Medium Instruction University in China. Front Psychol 2022; 13:873766. [PMID: 35936240 PMCID: PMC9355714 DOI: 10.3389/fpsyg.2022.873766] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 06/09/2022] [Indexed: 11/13/2022] Open
Abstract
Few previous studies have investigated the relationship between global perspective (GP) and willingness to communicate (WTC) in English. Hence, more studies are needed to validate their correlation. Furthermore, hardly any pertaining studies have been conducted at English Medium Instruction (EMI) universities. As such, the current study aimed to fill these gaps in the context of an EMI university in China, by investigating whether GP correlates with second language (L2) WTC and what factors impact the two variables. Data were collected from students via an online questionnaire (n = 315) and follow-up interviews (n = 11). The questionnaire findings confirmed a moderate positive correlation between GP and L2 WTC. The interview data unraveled that several factors influenced students’ L2 WTC, including needs and motivations driving L2 WTC, concerns constraining L2 WTC, and intercultural cognition facilitating L2 WTC. These findings suggest that: (A) students could be more determined to practice their English if they realize the significance of the role of English in their life; (B) teachers could foster students’ WTC by creating a non-threatening English-speaking environment and encouraging students to communicate in English in and outside the classroom; and (C) teachers could educate students about GP and L2 WTC, which might help to expand students’ horizon and stimulate their interests in foreign cultures and global affairs, so as to facilitate the sustainable growth of their English learning.
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Abstract
Indolizidine alkaloids have been the target of chemical and biological studies for decades, most recently highlighted by the isolation of the curvulamine and bipolamine polypyrrole-containing subclass. Herein we report a stereoselective 15-step synthesis of bipolamine I, a distinct member of the broader family, and through this work develop an intermediate that will serve to access other polypyrrole natural products and key analogues going forward.
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Affiliation(s)
- Xiang Qiu
- Department of Chemistry and Comparative Medicine Institute, NC State University, Raleigh, North Carolina 27695, United States
| | - Joshua G Pierce
- Department of Chemistry and Comparative Medicine Institute, NC State University, Raleigh, North Carolina 27695, United States
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30
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Wang D, Zhou Q, Qiu X, Liu X, Zhang C. Optimizing rAAV6 transduction of primary T cells for the generation of anti-CD19 AAV-CAR-T cells. Biomed Pharmacother 2022; 150:113027. [PMID: 35658223 DOI: 10.1016/j.biopha.2022.113027] [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: 03/07/2022] [Revised: 04/19/2022] [Accepted: 04/21/2022] [Indexed: 11/02/2022] Open
Abstract
Recombinant Adeno-associated virus(rAAV) is currently the most widely used gene delivery vector and has been successfully used in various disease models, benefiting from its low immunogenicity, almost no toxicity, and no reported pathogenicity in humans. However, its low transduction efficiency for primary cells, especially for T lymphocytes, limits its further application in the field of cell therapy. In this study, we optimized the protocol for rAAV6 transduction of primary T cells, significantly improved the expression efficiency of the rAAV6 delivered CAR gene, and successfully generated rAAV6-based CAR-T cells (AAV-CAR-T). The gene expression intensity (mean fluorescence intensity, MFI) of rAAV6 transduced T cells treated with the tyrosine kinase inhibitor, Genistein, was increased 1-3-fold. Moreover, our results showed that rAAV6 efficiently transduced T cells stimulated with OKT3 and the gene expression could be enhanced 3-fold with an OKT3 concentration of 50 ng/mL in the medium. The gene expression intensity of T cells treated with OKT3 together with genistein could be augmented by 7-fold. Based on the above-optimized method, CAR-T cells prepared with rAAV6 showed evident anti-tumor ability both in vitro and in vivo. Our findings established an efficient method for the AAV transduction of T cells and would provide an alternative way for the preparation of CAR-T cells.
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Affiliation(s)
- Dongxin Wang
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, PR China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou 215163, PR China
| | - Qungang Zhou
- Suzhou Red Cross Blood Center, NO. 355 Shizi Road, Gusu District, Suzhou 215163, PR China
| | - Xiang Qiu
- Suzhou Red Cross Blood Center, NO. 355 Shizi Road, Gusu District, Suzhou 215163, PR China
| | - Xiaomei Liu
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, PR China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou 215163, PR China.
| | - Chun Zhang
- School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230026, PR China; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Science, Suzhou 215163, PR China.
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Shi XY, Zhang XL, Shi QY, Qiu X, Wu XB, Zheng BL, Jiang HX, Qin SY. IFN-γ affects pancreatic cancer properties by MACC1-AS1/MACC1 axis via AKT/mTOR signaling pathway. Clin Transl Oncol 2022; 24:1073-1085. [PMID: 35037236 DOI: 10.1007/s12094-021-02748-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/01/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Metastasis-related in colon cancer 1 (MACC1) is highly expressed in a variety of solid tumours, but its role in pancreatic cancer (PC) remains unknown. Interferon gamma (IFN-γ) affecting MACC1 expression was explored as the potential mechanism following its intervention. METHODS Expressions of MACC1 treated with IFN-γ gradient were confirmed by quantitative real-time PCR (qRT-PCR) and western blot (WB). Proliferation, migration, and invasion abilities of PC cells treated with IFN-γ were analysed by CCK8, EDU, colony formation, Transwell (with or without matrix gel) and wound-healing assays. Expression of antisense long non-coding RNA of MACC1, MACC1-AS1, and proteins of AKT/mTOR pathway, (pho-)AKT, and (pho-)mTOR was also assessed by qRT-PCR and WB. SiRNA kit and lentiviral fluid were conducted for transient expression of MACC1 and stable expression of MACC1-AS1, respectively. Rescue assays of cells overexpressing MACC1-AS1 and of cells silencing MACC1 were performed and cellular properties and proteins were assessed by the above-mentioned assays as well. RESULTS IFN-γ inhibited MACC1 expression in a time- and dose-dependent manner; 100 ng/mL IFN-γ generally caused downregulation of most significant (p ≤ 0.05). In vitro experiments revealed that IFN-γ decreased cellular proliferation, migration, and invasion abilities and downregulated the expression of pho-AKT and pho-mTOR (p ≤ 0.05). Conversely, overexpression of MACC1-AS1 upregulated pho-AKT and pho-mTOR proteins, and reversed cellular properties (p ≤ 0.05). Rescue assays alleviated the above changes of pho-AKT/ mTOR and cellular properties. CONCLUSION IFN-γ affected PC properties by MACC1-AS1/MACC1 axis via AKT/mTOR signaling pathway, which provides novel insight for candidate targets for treating PC.
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Affiliation(s)
- X-Y Shi
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X-L Zhang
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - Q-Y Shi
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X Qiu
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - X-B Wu
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - B-L Zheng
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - H-X Jiang
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China
| | - S-Y Qin
- Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Province, China.
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Zhao J, Qiu X, Zhao Y, Wu R, Wei P, Tao C, Wan L. A review of the genus Chrysosplenium as a traditional Tibetan medicine and its preparations. J Ethnopharmacol 2022; 290:115042. [PMID: 35093455 DOI: 10.1016/j.jep.2022.115042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/14/2022] [Accepted: 01/24/2022] [Indexed: 06/14/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Plants of genus Chrysosplenium have a long history of application and are distributed in many countries, especially in Tibetan regions of China. The genus has been used locally in the treatment of various hepatobiliary diseases such as "Chiba disease" (related to cholecystitis, cholelithiasis, acute icteric hepatitis, and acute liver necrosis in modern medicine). AIM OF THE REVIEW This review summarizes and critically analyzes the aspects of the botanical morphology and distribution, traditional uses, phytochemistry, pharmacological activities, quality control, and development status of preparations of the genus Chrysosplenium. Moreover, the future research direction and focus of the genus are also discussed. We hope to provide a valuable reference for researchers who are interested in the genus Chrysosplenium. MATERIALS AND METHODS The relevant information of the genus Chrysosplenium was gathered through electronic databases from 1968 to 2021, including PubMed, Web of Science, ScienceDirect, Google Scholar, Springer, CNKI, and Wan Fang, as well as PhD, MSc thesis, Chinese Pharmacopoeia (2020 edition), Tibetan medicine monographs. In addition, plant names were verified by "The Plant List" (The Plant List Database, http://www.theplantlist.org). RESULTS Based on existing studies of chemical compositions, more than 90 compounds have been identified from Chrysosplenium species, including flavonoids, triterpenoids, volatile oils, steroids, alkaloids, and other compounds. The highly hydroxylated and methoxylated flavonoids and triterpenoids are the main active components. In addition, many studies have shown that the extracts and some components isolated from the genus Chrysosplenium have a variety of pharmacological activities, such as anti-tumor, antibacterial, anti-viral, hepatoprotective, and insecticidal properties. Furthermore, there are only 9 preparations with Chrysosplenium species as one of the medicinal materials. Among these preparations, C. nudicaule is used more and other Chrysosplenium species are rarely involved. CONCLUSIONS Most medicinal species of Chrysosplenium have not only good therapeutic effects in traditional uses, but also a great potential for development in modern pharmaceutical studies. However, the material basis and mechanism of action of this genus have not been well explained. Therefore, further systematic and comprehensive research on the genus Chrysosplenium is still required to provide a scientific basis for its clinical applications.
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Affiliation(s)
- Jiajia Zhao
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Xiang Qiu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Yunyan Zhao
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Rui Wu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Panhong Wei
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Chengtian Tao
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Li Wan
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
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Wang H, Tang M, Qiu X, Tan Y, Guo Y, Liu K, Li X, Wu W, Wan L. Identification of In Vivo Metabolites of a Potential Anti-rheumatoid arthritis Compound, the quinazolinone derivative PD110, using Ultra-High Performance Liquid Chromatography Coupled with Q-Exactive Plus Mass Spectrometry. Xenobiotica 2022; 52:284-294. [PMID: 35377274 DOI: 10.1080/00498254.2022.2062684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Huan Wang
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Biotherapy and Cancer Center; West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Minghai Tang
- State Key Laboratory of Biotherapy and Cancer Center; West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Xiang Qiu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yan Tan
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Biotherapy and Cancer Center; West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Yong Guo
- State Key Laboratory of Biotherapy and Cancer Center; West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Kongjun Liu
- State Key Laboratory of Biotherapy and Cancer Center; West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Xiandeng Li
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wenshuang Wu
- Department of Thyroid Surgery, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Thyroid and Parathyroid Disease, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Li Wan
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
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Chen N, Qiu X, Wang D, Cui BQ, Chang XD. [Establishment and stress analysis of a finite element model of a marathon runner's hip joint based on material properties given by CT gray value]. Zhonghua Yi Xue Za Zhi 2022; 102:679-682. [PMID: 35249314 DOI: 10.3760/cma.j.cn112137-20210817-01854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
In this study, a finite element model of the hip joint of a marathon runner was established based on the method of assigning material properties by CT gray value, and the biomechanics of the hip joint were analyzed when standing on one foot. The results of the study demonstrated that the stress was concentrated in the arcuate line, the greater sciatic notch, the pubic comb, and the acetabular region in the pelvis model; in the femoral model, the stress was concentrated in the femoral head, medial side of femoral neck and femoral shaft. The stress is transmitted from the sacroiliac joint to the acetabular dome through the arcuate line, on one side of the femoral head, from the medial side of the femoral neck to the lower side of the lesser trochanter to the medial side of the femoral shaft, and on the other side from the upper side of the femoral neck to the lateral side of the femoral shaft. The maximum principal stress was distributed in the posterior superior of the acetabular roof (7.22 MPa) and the posterior superior of the femoral head (6.68 MPa). The displacement of the model was about 1 to 3 mm at the upper edge of the ilium, and gradually decreased along the femoral axis, and the displacement at the hip joint was about 0.1 to 0.3 mm.
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Affiliation(s)
- N Chen
- Department of Radiology, Zhongshan Hospital, Dalian University, Dalian 116000, China
| | - X Qiu
- Department of Orthopedics, Zhongshan Hospital, Dalian University, Dalian 116000, China
| | - D Wang
- Department of Radiology, Qiqihar First Hospital, Qiqihar 161000, China
| | - B Q Cui
- Zhongshan Clinical College of Dalian University, Dalian 116000, China
| | - X D Chang
- Department of Radiology, Zhongshan Hospital, Dalian University, Dalian 116000, China
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Li T, Niu S, Qiu X, Zhai Z, Yang L, Chen L, Zhang XM. Altered Cerebral Blood Flow is Linked to Disease Duration in Patients with Generalized tonic‒clonic Seizures. Neuropsychiatr Dis Treat 2022; 18:2649-2659. [PMID: 36387946 PMCID: PMC9662018 DOI: 10.2147/ndt.s386509] [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: 08/17/2022] [Accepted: 10/29/2022] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To investigate cerebral blood flow (CBF) characteristics in individuals with generalized tonic‒clonic seizures (GTCS) during the interictal phase using voxel-based analysis of 3D pseudocontinuous arterial spin labeling (PCASL). PATIENTS AND METHODS Patients with GTCS (GTCS group) (during the interictal period) and healthy volunteers (control group) underwent head MR imaging with a 3.0T MR scanner with a 3D PCASL sequence. CBF was compared between the two groups. Spearman correlations of CBF in regions of interest (ROIs) in GTCS patients with the duration of disease and age of onset were analyzed and corrected using the false discovery rate (FDR). RESULTS Twenty patients with GTCS (GTCS group) and twenty healthy volunteers (control group) were recruited for this study. On 3D PCASL, (1) GTCS patients had lower CBF in the brainstem, right cerebellum, right inferior temporal gyrus, parahippocampal gyrus, superior frontal gyrus, middle frontal gyrus, triangular part of inferior frontal gyrus, left temporal pole of superior temporal gyrus and thalamus and had higher CBF in the bilateral superior parietal gyri, precuneus, precentral gyri, postcentral gyri, and left dorsolateral superior frontal gyrus than controls. (2) The CBF of the right temporal pole of the middle temporal gyrus was negatively correlated with the duration of disease (PFDRcorrected<0.05), with a correlation coefficient r of -0.7333 and a PFDRcorrected value of 0.04. CONCLUSION Voxel-based analysis of 3D PCASL imaging can be used to sensitively detect brain perfusion differences in GTCS patients. The decrease in CBF in the right temporal pole of the middle temporal gyrus may be associated with disease onset. These findings may offer new perspectives on the pathogenesis of GTCS and the underlying pathophysiological changes associated with perfusion.
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Affiliation(s)
- Ting Li
- The First Affiliated Hospital, Jinan University, Guangzhou, People's Republic of China.,Medical Imaging Key Laboratory of Sichuan Province, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China
| | - Shaowei Niu
- Department of Infection, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China
| | - Xiang Qiu
- Department of Radiology, Integrated TCM & Western Medicine Hospital Affiliated to Chengdu University of TCM, Chengdu First People's Hospital, Chengdu, People's Republic of China
| | - Zhaohua Zhai
- Medical Imaging Key Laboratory of Sichuan Province, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China
| | - Lin Yang
- Medical Imaging Key Laboratory of Sichuan Province, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China
| | - Li Chen
- Medical Imaging Key Laboratory of Sichuan Province, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China
| | - Xiao Ming Zhang
- The First Affiliated Hospital, Jinan University, Guangzhou, People's Republic of China.,Medical Imaging Key Laboratory of Sichuan Province, and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People's Republic of China
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Qiu X, Zhu L, Wang H, Tan Y, Yang Z, Yang L, Wan L. From natural products to HDAC inhibitors: An overview of drug discovery and design strategy. Bioorg Med Chem 2021; 52:116510. [PMID: 34826681 DOI: 10.1016/j.bmc.2021.116510] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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: 08/08/2021] [Revised: 10/09/2021] [Accepted: 10/15/2021] [Indexed: 02/08/2023]
Abstract
Histone deacetylases (HDACs) play a key role in the homeostasis of protein acetylation in histones and have recently emerged as a therapeutic target for numerous diseases. The inhibition of HDACs may block angiogenesis, arrest cell growth, and lead to differentiation and apoptosis in tumour cells. Thus, HDAC inhibitors (HDACi) have received increasing attention and many of which are developed from natural sources. In the past few decades, naturally occurring HDACi have been identified to have potent anticancer activities, some of which have demonstrated promising therapeutic effects on haematological malignancies. In this review, we summarized the discovery and modification of HDAC inhibitors from natural sources, novel drug design that uses natural products as parent nuclei, and dual target design strategies that combine HDAC with non-HDAC targets.
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Affiliation(s)
- Xiang Qiu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Lv Zhu
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Huan Wang
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yan Tan
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhuang Yang
- State Key Laboratory of Biotherapy and Cancer Center; West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Linyu Yang
- State Key Laboratory of Biotherapy and Cancer Center; West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, China
| | - Li Wan
- School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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Lv WQ, Lin X, Shen H, Liu HM, Qiu X, Li BY, Shen WD, Ge CL, Lv FY, Shen J, Xiao HM, Deng HW. Human gut microbiome impacts skeletal muscle mass via gut microbial synthesis of the short-chain fatty acid butyrate among healthy menopausal women. J Cachexia Sarcopenia Muscle 2021; 12:1860-1870. [PMID: 34472211 PMCID: PMC8718076 DOI: 10.1002/jcsm.12788] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/20/2021] [Accepted: 08/04/2021] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND Increasing evidence suggests that human gut microbiome plays an important role in variation of skeletal muscle mass (SMM). However, specific causal mechanistic relationship of human gut microbiome with SMM remains largely unresolved. Understanding the causal mechanistic relationship may provide a basis for novel interventions for loss of SMM. This study investigated whether human gut microbiome has a causal effect on SMM among Chinese community-dwelling healthy menopausal women. METHODS Estimated SMM was derived from whole-body dual-energy X-ray absorptiometry. We performed integrated analyses on whole-genome sequencing, shotgun metagenomic sequencing, and serum short-chain fatty acids (SCFAs), as well as available host SMM measurements among community-dwelling healthy menopausal women (N = 482). We combined the results with summary statistics from genome-wide association analyses for human gut microbiome (N = 952) and SMM traits (N = 28 330). As a prerequisite for causality, we used a computational protocol that was proposed to measure correlations among gut metagenome, metabolome, and the host trait to investigate the relationship between human gut microbiome and SMM. Causal inference methods were applied to assess the potential causal effects of gut microbial features on SMM, through one-sample and two-sample Mendelian randomization (MR) analyses, respectively. RESULTS In metagenomic association analyses, the increased capacity for gut microbial synthesis of the SCFA butyrate was significantly associated with serum butyrate levels [Spearman correlation coefficient (SCC) = 0.13, P = 0.02] and skeletal muscle index (SCC = 0.084, P = 0.002). Of interest was the finding that two main butyrate-producing bacterial species were both positively associated with the increased capacity for gut microbial synthesis of butyrate [Faecalibacterium prausnitzii (SCC = 0.25, P = 6.6 × 10-7 ) and Butyricimonas virosa (SCC = 0.15, P = 0.001)] and for skeletal muscle index [F. prausnitzii (SCC = 0.16, P = 6.2 × 10-4 ) and B. virosa (SCC = 0.17, P = 2.4 × 10-4 )]. One-sample MR results showed a causal effect between gut microbial synthesis of the SCFA butyrate and appendicular lean mass (β = 0.04, 95% confidence interval 0.029 to 0.051, P = 0.003). Two-sample MR results further confirmed the causal effect between gut microbial synthesis of the SCFA butyrate and appendicular lean mass (β = 0.06, 95% confidence interval 0 to 0.13, P = 0.06). CONCLUSIONS Our results may help the future development of novel intervention approaches for preventing or alleviating loss of SMM.
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Affiliation(s)
- Wan-Qiang Lv
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xu Lin
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Hui Shen
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Hui-Min Liu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Xiang Qiu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Bo-Yang Li
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Wen-Di Shen
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Chang-Li Ge
- LC-Bio Technologies Co., Ltd., Hangzhou, China
| | - Feng-Ye Lv
- LC-Bio Technologies Co., Ltd., Hangzhou, China
| | - Jie Shen
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China.,Shunde Hospital of Southern Medical University (The First People's Hospital of Shunde), Foshan, Guangdong, China
| | - Hong-Mei Xiao
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China
| | - Hong-Wen Deng
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.,Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
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Wu J, Qiu X, Zhang J, Wu F, Kong Y, Yang G, Senhadji L, Shu H. Fractional Wavelet-Based Generative Scattering Networks. Front Neurorobot 2021; 15:752752. [PMID: 34764862 PMCID: PMC8577828 DOI: 10.3389/fnbot.2021.752752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 09/20/2021] [Indexed: 11/13/2022] Open
Abstract
Generative adversarial networks and variational autoencoders (VAEs) provide impressive image generation from Gaussian white noise, but both are difficult to train, since they need a generator (or encoder) and a discriminator (or decoder) to be trained simultaneously, which can easily lead to unstable training. To solve or alleviate these synchronous training problems of generative adversarial networks (GANs) and VAEs, researchers recently proposed generative scattering networks (GSNs), which use wavelet scattering networks (ScatNets) as the encoder to obtain features (or ScatNet embeddings) and convolutional neural networks (CNNs) as the decoder to generate an image. The advantage of GSNs is that the parameters of ScatNets do not need to be learned, while the disadvantage of GSNs is that their ability to obtain representations of ScatNets is slightly weaker than that of CNNs. In addition, the dimensionality reduction method of principal component analysis (PCA) can easily lead to overfitting in the training of GSNs and, therefore, affect the quality of generated images in the testing process. To further improve the quality of generated images while keeping the advantages of GSNs, this study proposes generative fractional scattering networks (GFRSNs), which use more expressive fractional wavelet scattering networks (FrScatNets), instead of ScatNets as the encoder to obtain features (or FrScatNet embeddings) and use similar CNNs of GSNs as the decoder to generate an image. Additionally, this study develops a new dimensionality reduction method named feature-map fusion (FMF) instead of performing PCA to better retain the information of FrScatNets,; it also discusses the effect of image fusion on the quality of the generated image. The experimental results obtained on the CIFAR-10 and CelebA datasets show that the proposed GFRSNs can lead to better generated images than the original GSNs on testing datasets. The experimental results of the proposed GFRSNs with deep convolutional GAN (DCGAN), progressive GAN (PGAN), and CycleGAN are also given.
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Affiliation(s)
- Jiasong Wu
- Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, China
- Univ Rennes, INSERM, LTSI-UMR 1099, Rennes, France
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
| | - Xiang Qiu
- Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
| | - Jing Zhang
- Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
| | - Fuzhi Wu
- Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
| | - Youyong Kong
- Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, China
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
| | - Guanyu Yang
- Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, China
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
| | - Lotfi Senhadji
- Univ Rennes, INSERM, LTSI-UMR 1099, Rennes, France
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
| | - Huazhong Shu
- Laboratory of Image Science and Technology, Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China
- Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing, School of Computer Science and Engineering, Southeast University, Nanjing, China
- Centre de Recherche en Information Biomédicale Sino-Français (CRIBs), Univ Rennes, INSERM, Rennes, France
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Qiu X, Chen H, Feng D, Dong W. [G-protein coupled receptor Smo positively regulates proliferation and migration of adult neural stem cells in vitro]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1588-1592. [PMID: 34755677 DOI: 10.12122/j.issn.1673-4254.2021.10.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the role of G-protein coupled receptor Smoothened (Smo) in regulating proliferation and migration of adult neural stem cells (ANSCs) and explore the underlying mechanism. METHODS Cultured ANSCs were treated with purmorphamine (PM, an agonist of Smo) or cyclopamine (CPM, an inhibitor of Smo), and the changes in cell proliferation migration abilities were assessed using cell counting kit-8 (CCK8) assay and wound healing assay, respectively. The mRNA expressions of membrane receptor Patched 1 (Ptch1), Smo, glioma-associated oncogene homolog 1 (Gli1), axon guidance cue slit1 (Slit1) and brain-derived neurotrophic factor (BDNF) in the treated cells were detected using real-time quantitative PCR (RT-PCR). RESULTS PM significantly promoted the proliferation (P < 0.01) and migration of ANSCs (P < 0.01), and up-regulated the mRNA expressions of Ptch1, Smo, Gli1, Slit1 and BDNF. Treatment with CPM significantly inhibited the proliferation and migration of ANSCs. CONCLUSION Modulating Smo activity can positively regulate the proliferation and migration of ANSCs possibly by regulating the expressions of BDNF and Slit1.
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Affiliation(s)
- X Qiu
- Experiment Teaching and Administration Center, Southern Medical University, Guangzhou 510515, China
| | - H Chen
- Department of Neurosurgery, Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China
| | - D Feng
- Institute of Oncology, Southern Medical University, Guangzhou 510515, China
| | - W Dong
- Experiment Teaching and Administration Center, Southern Medical University, Guangzhou 510515, China
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Wang Z, Li X, Yang J, Gong Y, Zhang H, Qiu X, Liu Y, Zhou C, Chen Y, Greenbaum J, Cheng L, Hu Y, Xie J, Yang X, Li Y, Schiller MR, Chen Y, Tan L, Tang SY, Shen H, Xiao HM, Deng HW. Single-cell RNA sequencing deconvolutes the in vivo heterogeneity of human bone marrow-derived mesenchymal stem cells. Int J Biol Sci 2021; 17:4192-4206. [PMID: 34803492 PMCID: PMC8579438 DOI: 10.7150/ijbs.61950] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 09/20/2021] [Indexed: 02/07/2023] Open
Abstract
Bone marrow-derived mesenchymal stem cells (BM-MSCs) are multipotent stromal cells that have a critical role in the maintenance of skeletal tissues such as bone, cartilage, and the fat in bone marrow. In addition to providing microenvironmental support for hematopoietic processes, BM-MSCs can differentiate into various mesodermal lineages including osteoblast/osteocyte, chondrocyte, and adipocyte that are crucial for bone metabolism. While BM-MSCs have high cell-to-cell heterogeneity in gene expression, the cell subtypes that contribute to this heterogeneity in vivo in humans have not been characterized. To investigate the transcriptional diversity of BM-MSCs, we applied single-cell RNA sequencing (scRNA-seq) on freshly isolated CD271+ BM-derived mononuclear cells (BM-MNCs) from two human subjects. We successfully identified LEPRhiCD45low BM-MSCs within the CD271+ BM-MNC population, and further codified the BM-MSCs into distinct subpopulations corresponding to the osteogenic, chondrogenic, and adipogenic differentiation trajectories, as well as terminal-stage quiescent cells. Biological functional annotations of the transcriptomes suggest that osteoblast precursors induce angiogenesis coupled with osteogenesis, and chondrocyte precursors have the potential to differentiate into myocytes. We also discovered transcripts for several clusters of differentiation (CD) markers that were either highly expressed (e.g., CD167b, CD91, CD130 and CD118) or absent (e.g., CD74, CD217, CD148 and CD68) in BM-MSCs, representing potential novel markers for human BM-MSC purification. This study is the first systematic in vivo dissection of human BM-MSCs cell subtypes at the single-cell resolution, revealing an insight into the extent of their cellular heterogeneity and roles in maintaining bone homeostasis.
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Affiliation(s)
- Zun Wang
- Xiangya School of Nursing, Central South University, Changsha, 410013, China; Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, 70112, USA
| | - Xiaohua Li
- Xiangya School of Nursing, Central South University, Changsha, 410013, China; Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
| | - Junxiao Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Yun Gong
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, 70112, USA
| | - Huixi Zhang
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
| | - Xiang Qiu
- School of Basic Medical Science, Central South University, Changsha, 410008, China
| | - Ying Liu
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
| | - Cui Zhou
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
| | - Yu Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
| | - Jonathan Greenbaum
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, 70112, USA
| | - Liang Cheng
- Department of Orthopedics and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Yihe Hu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Jie Xie
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Xucheng Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Yusheng Li
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Martin R. Schiller
- Nevada Institute of Personalized Medicine and School of Life Science, 4505 S. Maryland Pkwy, Las Vegas, NV 89154-4004, USA
| | - Yiping Chen
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA 70112, USA
| | - Lijun Tan
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
| | - Si-Yuan Tang
- Xiangya School of Nursing, Central South University, Changsha, 410013, China; Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha, 410081, China
- Hunan Women's Research Association, Changsha, 410011, China
| | - Hui Shen
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, 70112, USA
| | - Hong-Mei Xiao
- School of Basic Medical Science, Central South University, Changsha, 410008, China
- Center of Reproductive Health, System Biology and Data Information, Institute of Reproductive & Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha, 410008, China
| | - Hong-Wen Deng
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, 70112, USA
- School of Basic Medical Science, Central South University, Changsha, 410008, China
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Lu S, Huang D, Chen X, Wang B, Xue J, Wang J, Bao Y, Liang L, Qiu X, Zhang L. 1290P RATIONALE 304: Tislelizumab (TIS) plus chemotherapy (chemo) vs chemo alone as first-line (1L) treatment for non-squamous (non-sq) non-small cell lung cancer (NSCLC) in patients (pts) who are smokers vs non-smokers. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Gong Y, Yang J, Li X, Zhou C, Chen Y, Wang Z, Qiu X, Liu Y, Zhang H, Greenbaum J, Cheng L, Hu Y, Xie J, Yang X, Li Y, Bai Y, Wang YP, Chen Y, Tan LJ, Shen H, Xiao HM, Deng HW. A systematic dissection of human primary osteoblasts in vivo at single-cell resolution. Aging (Albany NY) 2021; 13:20629-20650. [PMID: 34428745 PMCID: PMC8436943 DOI: 10.18632/aging.203452] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 06/19/2021] [Indexed: 12/12/2022]
Abstract
Human osteoblasts are multifunctional bone cells, which play essential roles in bone formation, angiogenesis regulation, as well as maintenance of hematopoiesis. However, the categorization of primary osteoblast subtypes in vivo in humans has not yet been achieved. Here, we used single-cell RNA sequencing (scRNA-seq) to perform a systematic cellular taxonomy dissection of freshly isolated human osteoblasts from one 31-year-old male with osteoarthritis and osteopenia after hip replacement. Based on the gene expression patterns and cell lineage reconstruction, we identified three distinct cell clusters including preosteoblasts, mature osteoblasts, and an undetermined rare osteoblast subpopulation. This novel subtype was found to be the major source of the nuclear receptor subfamily 4 group A member 1 and 2 (NR4A1 and NR4A2) in primary osteoblasts, and the expression of NR4A1 was confirmed by immunofluorescence staining on mouse osteoblasts in vivo. Trajectory inference analysis suggested that the undetermined cluster, together with the preosteoblasts, are involved in the regulation of osteoblastogenesis and also give rise to mature osteoblasts. Investigation of the biological processes and signaling pathways enriched in each subpopulation revealed that in addition to bone formation, preosteoblasts and undetermined osteoblasts may also regulate both angiogenesis and hemopoiesis. Finally, we demonstrated that there are systematic differences between the transcriptional profiles of human and mouse osteoblasts, highlighting the necessity for studying bone physiological processes in humans rather than solely relying on mouse models. Our findings provide novel insights into the cellular heterogeneity and potential biological functions of human primary osteoblasts at the single-cell level.
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Affiliation(s)
- Yun Gong
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Junxiao Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xiaohua Li
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Cui Zhou
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Yu Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Zun Wang
- Xiangya Nursing School, Central South University, Changsha 410013, China
| | - Xiang Qiu
- School of Basic Medical Science, Central South University, Changsha 410008, China
| | - Ying Liu
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Huixi Zhang
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Jonathan Greenbaum
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Liang Cheng
- Department of Orthopedics and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yihe Hu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Jie Xie
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xuecheng Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yusheng Li
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yuntong Bai
- Tulane Center for Bioinformatics and Genomics, Department of Biomedical Engineering, Tulane University, New Orleans, LA 70112, USA
| | - Yu-Ping Wang
- Tulane Center for Bioinformatics and Genomics, Department of Biomedical Engineering, Tulane University, New Orleans, LA 70112, USA
| | - Yiping Chen
- Department of Cell and Molecular Biology, School of Science and Engineering, Tulane University, New Orleans, LA 70112, USA
| | - Li-Jun Tan
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha 410081, China
| | - Hui Shen
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Hong-Mei Xiao
- Center of Reproductive Health, System Biology and Data Information, Institute of Reproductive and Stem Cell Engineering, School of Basic Medical Science, Central South University, Changsha 410081, China.,School of Basic Medical Science, Central South University, Changsha 410008, China
| | - Hong-Wen Deng
- Tulane Center for Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA.,School of Basic Medical Science, Central South University, Changsha 410008, China
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Zhang B, Wu Q, Qiu X, Ding X, Wang J, Li J, Sun P, Hu X. Effect of spectral CT on tumor microvascular angiogenesis in renal cell carcinoma. BMC Cancer 2021; 21:874. [PMID: 34330234 PMCID: PMC8325217 DOI: 10.1186/s12885-021-08586-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 07/13/2021] [Indexed: 12/12/2022] Open
Abstract
Background To examine the value of energetic-spectrum computed tomography (spectral CT) quantitative parameters in renal cell carcinoma (RCC) microvascular angiogenesis. Methods The authors evaluated 32 patients with pathologically confirmed RCC who underwent triple-phase contrast-enhanced CT with spectral CT imaging mode from January 2017 to December 2019. Quantitative parameters include parameters derived from iodine concentration (IC) and water concentration (WC) of 120 keV monochromatic images. All specimens were evaluated including the microvascular density (MVD), microvascular area (MVA) and so on. The correlation between IC and WC (including average values and random values) with microvascular parameters were analyzed with Pearson or Spearman rank correlation coefficients. Results The MVD of all tumors was 26.00 (15.00–43.75) vessels per field at × 400 magnification. The MVD of RCC correlated positively with the mean IC, mean WC, mean NWC, mean NIC, random IC, random NIC in renal cortical phase, WCD1, WCD2, NWCD2 and ICD1 (Spearman rank correlation coefficients, r range, 0.362–0.533; all p < 0.05). The MVA of all tumors was (16.16 ± 8.98) % per field at × 400 magnification. The MVA of RCC correlated positively with the mean IC, mean WC, mean NWC, mean NIC, random IC, random NIC in renal cortical, mean WC and mean NWC in renal parenchymal phase, WCD1, WCD2, WCD3, NWCD2, and NWCD3 (Pearson or Spearman rank correlation coefficients, r range, 0.357–0.576; all p < 0.05). Microvascular grading correlated positively with the mean NWC, mean NIC and random NIC in renal cortical phase, mean NWC in renal parenchymal phase, NWCD2, WCD3, NWCD3, NICD2 and NICD3 (Spearman rank correlation coefficients, r range, 0.367–0.520; all p < 0.05). As for tumor diameter (55.19 ± 19.15), μm, only NWCD3 was associated with it (Spearman rank correlation coefficients, r = 0.388; p < 0.05). Conclusions ICD and WCD of spectral CT have a potential for evaluating RCC microvascular angiogenesis. MVD, MVA and microvascular grade showed moderate positive correlation with ICD and WCD. ICD displayed more relevant than that of WCD. The parameters of renal cortical phase were the best in three phases. NICD and NWCD manifested stronger correlation with microvascular parameters than that of ICD and WCD.
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Affiliation(s)
- Bei Zhang
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Qiong Wu
- Department of Pathology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Xiang Qiu
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Xiaobo Ding
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Jin Wang
- Department of Urology Surgery, First Hospital of Jilin University, Changchun, China
| | - Jing Li
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Pengfei Sun
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China
| | - Xiaohan Hu
- Department of Radiology, First Hospital of Jilin University, No. 1, Xinmin Street, Changchun, Jilin Province, China.
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Qiu X, Liu Y, Shen H, Wang Z, Gong Y, Yang J, Li X, Zhang H, Chen Y, Zhou C, Lv W, Cheng L, Hu Y, Li B, Shen W, Zhu X, Tan LJ, Xiao HM, Deng HW. Single-cell RNA sequencing of human femoral head in vivo. Aging (Albany NY) 2021; 13:15595-15619. [PMID: 34111027 PMCID: PMC8221309 DOI: 10.18632/aging.203124] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 05/13/2021] [Indexed: 11/25/2022]
Abstract
The homeostasis of bone metabolism depends on the coupling and precise regulation of various types of cells in bone tissue. However, the communication and interaction between bone tissue cells at the single-cell level remains poorly understood. Thus, we performed single-cell RNA sequencing (scRNA-seq) on the primary human femoral head tissue cells (FHTCs). Nine cell types were identified in 26,574 primary human FHTCs, including granulocytes, T cells, monocytes, B cells, red blood cells, osteoblastic lineage cells, endothelial cells, endothelial progenitor cells (EPCs) and plasmacytoid dendritic cells. We identified serine protease 23 (PRSS23) and matrix remodeling associated protein 8 (MXRA8) as novel bone metabolism-related genes. Additionally, we found that several subtypes of monocytes, T cells and B cells were related to bone metabolism. Cell-cell communication analysis showed that collagen, chemokine, transforming growth factor and their ligands have significant roles in the crosstalks between FHTCs. In particular, EPCs communicated with osteoblastic lineage cells closely via the "COL2A1-ITGB1" interaction pair. Collectively, this study provided an initial characterization of the cellular composition of the human FHTCs and the complex crosstalks between them at the single-cell level. It is a unique starting resource for in-depth insights into bone metabolism.
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Affiliation(s)
- Xiang Qiu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Yuelu, Changsha 410013, China
| | - Ying Liu
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha 410081, China
| | - Hui Shen
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Zun Wang
- Xiangya Nursing School, Central South University, Changsha 410013, China
| | - Yun Gong
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Junxiao Yang
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Xiaohua Li
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha 410081, China
| | - Huixi Zhang
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha 410081, China
| | - Yu Chen
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha 410081, China
| | - Cui Zhou
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha 410081, China
| | - Wanqiang Lv
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Yuelu, Changsha 410013, China
| | - Liang Cheng
- Department of Orthopedics and National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Yihe Hu
- Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, China
| | - Boyang Li
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Yuelu, Changsha 410013, China
| | - Wendi Shen
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Yuelu, Changsha 410013, China
| | - Xuezhen Zhu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Yuelu, Changsha 410013, China
| | - Li-Jun Tan
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Human Normal University, Changsha 410081, China
| | - Hong-Mei Xiao
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Yuelu, Changsha 410013, China
| | - Hong-Wen Deng
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Yuelu, Changsha 410013, China
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, School of Medicine, Tulane University, New Orleans, LA 70112, USA
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Yin H, Chen M, Qiu X, Qiu X, Guo H. Can 68Ga-PSMA-11 PET/CT predict pathological upgrading of prostate cancer from MRI-targeted biopsy to radical prostatectomy? Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)01286-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Zhang T, Li W, Qiu X, Liu B, Li G, Feng C, Liao J, Lin K. [CRISPR/Cas9-mediated TEAD1 knockout induces phenotypic modulation of corpus cavernosum smooth muscle cells in diabetic rats with erectile dysfunction]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:567-573. [PMID: 33963717 DOI: 10.12122/j.issn.1673-4254.2021.04.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To construct a corpus cavemosum smooth muscle cell (CCSMCs) line with TEAD1 knockout from diabetic rats with erectile dysfunction (ED) using CRISPR/Cas9 technology and explore the role of TEAD1 in phenotypic modulation of CCSMCs in diabetic rats with ED. OBJECTIVE Models of diabetic ED were established in male Sprague-Dawley rats by intraperitoneal injection of streptozotocin. CCSMCs from the rat models were primarily cultured and identified with immunofluorescence assay. Three sgRNAs (sgRNA-1, sgRNA-2 and sgRNA-3) were transfected via lentiviral vectors into 293T cells to prepare the sgRNA-Cas9 lentivirus. CCSMCs from diabetic rats with ED were infected by the lentivirus, and the cellular expression of TEAD1 protein was detected using Western blotting. In CCSMCs infected with the sgRNA-Cas9 lentivirus (CCSMCs-sgRNA-2), or the empty lentiviral vector (CCSMCs-sgRNA-NC) and the blank control cells (CCSMCs-CK), the expressions of cellular phenotypic markers SMMHC, calponin and PCNA at the mRNA and protein levels were detected using real-time fluorescence quantitative RT-PCR (qRT-PCR) and Western blotting, respectively. OBJECTIVE The primarily cultured CCSMCs from diabetic rats with ED showed a high α-SMA-positive rate of over 95%. The recombinant lentivirus of TEAD1-sgRNA was successfully packaged, and stable TEAD1-deficient CCSMC lines derived from diabetic rat with ED were obtained. Western blotting confirmed that the protein expression of TEAD1 in TEAD1-sgRNA-2 group was the lowest (P < 0.05), and this cell line was used in subsequent experiment. The results of qRT-PCR and Western blotting showed significantly up-regulated expressions of SMMHC and calponin (all P < 0.05) and down-regulated expression of PCNA (all P < 0.05) at both the mRNA and protein levels in TEAD1-deficient CCSMCs from diabetic rats with ED. OBJECTIVE We successfully constructed a stable CCSMCs line with CRISPR/Cas9-mediated TEAD1 knockout from diabetic rats with ED. TEAD1 gene knockout can induce phenotype transformation of the CCSMCs from diabetic rats with ED from the synthetic to the contractile type.
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Affiliation(s)
- T Zhang
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - W Li
- Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - X Qiu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - B Liu
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - G Li
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - C Feng
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - J Liao
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
| | - K Lin
- Department of Urology, Second Guangdong Provincial People's Hospital, Guangzhou 510317, China
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He JR, Ramakrishnan R, Wei XL, Lu JH, Lu MS, Xiao WQ, Tu S, Liu X, Zhou FJ, Zhang LF, Xia HM, Qiu X. Fetal growth at different gestational periods and risk of impaired childhood growth, low childhood weight and obesity: a prospective birth cohort study. BJOG 2021; 128:1615-1624. [PMID: 33690938 DOI: 10.1111/1471-0528.16698] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVE To examine the longitudinal associations of fetal growth with adverse child growth outcomes and to assess whether maternal metabolic factors modify the associations. DESIGN Prospective cohort study. SETTING Born in Guangzhou Cohort Study, China. POPULATION A total of 4818 mother-child pairs. METHODS Fetal growth was assessed according to estimated fetal weight (EFW) from 22 weeks of gestation until birth and the measurement of the birthweight. Fetal growth Z-scores were computed from random effects in the multilevel linear spline models to represent fetal size in early pregnancy (22 weeks of gestation) and growth in mid-pregnancy (22-27 weeks of gestation), early third trimester (28-36 weeks of gestation) and late third trimester (≥37 weeks of gestation). MAIN OUTCOME MEASURES Z-scores for childhood stunting, low weight, overweight or obesity, length/height for age (LAZ/HAZ), weight for age (WAZ) and body mass index for age (BMIZ) at the age of 3 years. Adjusted associations were examined using multiple Poisson or linear regression models. RESULTS Increased Z-scores of fetal size in early pregnancy and growth in mid-pregnancy and early third trimester were associated with a higher risk of childhood overweight or obesity (risk ratios 1.25-1.45). Fetal growth in each period was negatively associated with stunting and low weight, with the strongest associations observed for fetal size in early pregnancy and growth in mid-pregnancy. The results for continuous outcomes (LAZ/HAZ, WAZ and BMIZ) were similar. The associations of fetal growth with overweight or obesity in childhood were stronger among mothers who were underweight and who were overweight or obese than among mothers of normal weight. CONCLUSIONS Accelerated fetal growth before 37 weeks of gestation is associated with children who are overweight or obese, whereas the critical period for stunting and low weight occurs before 28 weeks of gestation. TWEETABLE ABSTRACT Fetal growth during different periods is differentially associated with childhood stunting, underweight and overweight or obesity.
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Affiliation(s)
- J-R He
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - R Ramakrishnan
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK.,University of New South Wales, Sydney, NSW, Australia
| | - X-L Wei
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - J-H Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - M-S Lu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - W-Q Xiao
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - S Tu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - X Liu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - F-J Zhou
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - L-F Zhang
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - H-M Xia
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Neonatal Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - X Qiu
- Division of Birth Cohort Study, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Woman and Child Health Care, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.,Department of Obstetrics and Gynecology, Guangzhou Women and Children Medical Center, Guangzhou Medical University, Guangzhou, China
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Dou C, Tang M, Xia Y, Yang L, Qiu X, Li Y, Ye H, Wan L. Identification of In Vivo Metabolites of a Potential Anti-tumor Drug Candidate AMAC, in Rat Plasma, Urine and Feces Samples Using UHPLC/QTOF /MS/MS. CURR PHARM ANAL 2021. [DOI: 10.2174/1573412916666191230124527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Background:
Drugs based on natural products targeting the microtubule system remain an
important component in cancer therapy. Compound 10, 4-((3-amino-4-methoxyphenyl) amino)-2Hcoumarin,
derived from coumarin, showed excellent anti-proliferative activity through directly binding
to the colchicine-binding site in β-tubulin, suggesting that it could be a perfect drug candidate for antitumor
drug research and development. Identification and structural characterization of metabolites is a
critical step of both drug discovery and development research.
Objective:
Compound 10, 4-((3-amino-4-methoxyphenyl) amino)-2H-coumarin, derived from coumarin.
Method:
In this study, an efficient and sensitive method using Ultra High-Performance Liquid Chromatography
couple with Quadrupole Time of Flight tandem Mass Spectrometry (UHPLC/QTOF/
MS/MS) was successfully established and applied to identify the in vivo metabolites in plasma,
urine and feces samples of rats after intravenous administration of Compound 10 with a single dose of
10 mg/kg.
Result:
A total of eight metabolites (including two phase I and six phase II metabolites) had been detected
or tentatively identified in plasma, urine and feces, indicating the prominent metabolic pathways
were glucuronidation, demethylation and hydroxylation. In addition, in order to understand the structure
of metabolites more accurately, synthesis strategy was used to confirm the metabolite M3.
Conclusion:
The present study provides important information on the metabolism of Compound 10 in
vivo for the first time, which would be helpful for understanding the potential metabolic processes of
Compound 10 and paving the way for pharmacology and toxicology research.
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Affiliation(s)
- Caixia Dou
- School of pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan Province,China
| | - Minghai Tang
- Lab of Natural Product Drugs, Cancer Center, West China Medical School, West China Hospital, Sichuan University, Chengdu, Sichuan Province,China
| | - Yuanyuan Xia
- School of pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan Province,China
| | - Linyu Yang
- Lab of Natural Product Drugs, Cancer Center, West China Medical School, West China Hospital, Sichuan University, Chengdu, Sichuan Province,China
| | - Xiang Qiu
- School of pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan Province,China
| | - Yong Li
- Lab of Natural Product Drugs, Cancer Center, West China Medical School, West China Hospital, Sichuan University, Chengdu, Sichuan Province,China
| | - Haoyu Ye
- Lab of Natural Product Drugs, Cancer Center, West China Medical School, West China Hospital, Sichuan University, Chengdu, Sichuan Province,China
| | - Li Wan
- School of pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, Sichuan Province,China
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49
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Wang KS, Yu G, Xu C, Meng XH, Zhou J, Zheng C, Deng Z, Shang L, Liu R, Su S, Zhou X, Li Q, Li J, Wang J, Ma K, Qi J, Hu Z, Tang P, Deng J, Qiu X, Li BY, Shen WD, Quan RP, Yang JT, Huang LY, Xiao Y, Yang ZC, Li Z, Wang SC, Ren H, Liang C, Guo W, Li Y, Xiao H, Gu Y, Yun JP, Huang D, Song Z, Fan X, Chen L, Yan X, Li Z, Huang ZC, Huang J, Luttrell J, Zhang CY, Zhou W, Zhang K, Yi C, Wu C, Shen H, Wang YP, Xiao HM, Deng HW. Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence. BMC Med 2021; 19:76. [PMID: 33752648 PMCID: PMC7986569 DOI: 10.1186/s12916-021-01942-5] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on daily image analyses. METHODS Based on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC diagnosis using weakly labeled pathological whole-slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, > 14,680 WSIs, from > 9631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, the USA, and Germany. RESULTS Our innovative AI tool consistently and nearly perfectly agreed with (average Kappa statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multicenters. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.988 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. CONCLUSIONS This first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. It will drastically alleviate the heavy clinical burden of daily pathology diagnosis and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.
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Affiliation(s)
- K S Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - G Yu
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Xu
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - X H Meng
- Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, 410081, Hunan, China
| | - J Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - C Zheng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Deng
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - L Shang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - R Liu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - S Su
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - X Zhou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - Q Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Li
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - J Wang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, China
| | - K Ma
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Qi
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - Z Hu
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - P Tang
- Department of Pathology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
| | - X Qiu
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - B Y Li
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - W D Shen
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - R P Quan
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - J T Yang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - L Y Huang
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Y Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China
| | - Z C Yang
- Department of Pharmacology, Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, 410078, Hunan, China
| | - Z Li
- School of Life Sciences, Central South University, Changsha, 410013, Hunan, China
| | - S C Wang
- College of Information Science and Engineering, Hunan Normal University, Changsha, 410081, Hunan, China
| | - H Ren
- Department of Pathology, Gongli Hospital, Second Military Medical University, Shanghai, 200135, China
- Department of Pathology, the Peace Hospital Affiliated to Changzhi Medical College, Changzhi, 046000, China
| | - C Liang
- Pathological Laboratory of Adicon Medical Laboratory Co., Ltd, Hangzhou, 310023, Zhejiang, China
| | - W Guo
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - Y Li
- Department of Pathology, First Affiliated Hospital of Hunan Normal University, The People's Hospital of Hunan Province, Changsha, 410005, Hunan, China
| | - H Xiao
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - Y Gu
- Department of Pathology, the Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, China
| | - J P Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - D Huang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Z Song
- Department of Pathology, Chinese PLA General Hospital, Beijing, 100853, China
| | - X Fan
- Department of Pathology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - L Chen
- Department of Pathology, The first affiliated hospital, Air Force Medical University, Xi'an, 710032, China
| | - X Yan
- Institute of Pathology and southwest cancer center, Southwest Hospital, Third Military Medical University, Chongqing, 400038, China
| | - Z Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Z C Huang
- Department of Biomedical Engineering, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Huang
- Department of Anatomy and Neurobiology, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, China
| | - J Luttrell
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - C Y Zhang
- School of Computing Sciences and Computer Engineering, University of Southern Mississippi, Hattiesburg, MS, 39406, USA
| | - W Zhou
- College of Computing, Michigan Technological University, Houghton, MI, 49931, USA
| | - K Zhang
- Department of Computer Science, Bioinformatics Facility of Xavier NIH RCMI Cancer Research Center, Xavier University of Louisiana, New Orleans, LA, 70125, USA
| | - C Yi
- Department of Pathology, Ochsner Medical Center, New Orleans, LA, 70121, USA
| | - C Wu
- Department of Statistics, Florida State University, Tallahassee, FL, 32306, USA
| | - H Shen
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Y P Wang
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA
- Department of Biomedical Engineering, Tulane University, New Orleans, LA, 70118, USA
| | - H M Xiao
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
| | - H W Deng
- Department of Deming Department of Medicine, Tulane Center of Biomedical Informatics and Genomics, Tulane University School of Medicine, 1440 Canal Street, Suite 1610, New Orleans, LA, 70112, USA.
- Centers of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, School of Basic Medical Science, Central South University, Changsha, 410008, Hunan, China.
- Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
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50
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Qiu X, Wang S, Miao S, Suo H, Xu H, Hu Y. Co-immobilization of laccase and ABTS onto amino-functionalized ionic liquid-modified magnetic chitosan nanoparticles for pollutants removal. J Hazard Mater 2021; 401:123353. [PMID: 32652421 DOI: 10.1016/j.jhazmat.2020.123353] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [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: 05/26/2020] [Revised: 06/16/2020] [Accepted: 06/28/2020] [Indexed: 05/23/2023]
Abstract
This work aims to achieve the co-immobilization of laccase and 2,2-binamine-di-3-ethylbenzothiazolin-6-sulfonic acid (ABTS) to improve removal capability of the biocatalyst for pollutants while avoiding potential pollution caused by ABTS. The laccase was immobilized on magnetic chitosan nanoparticles modified with amino-functionalized ionic liquid containing ABTS (MACS-NIL) based on Cu ion chelation (MACS-NIL-Cu-lac). The carrier was characterized by Fourier transform infrared spectroscopy, thermogravimetric analysis, x-ray diffraction and etc., and electron paramagnetic resonance confirmed the mediator molecule ABTS on the carrier could also play the role of electron transmission. MACS-NIL-Cu-lac presented relatively high immobilization capacity, enhanced activity (1.7-fold that of free laccase), improved pH and temperature adaptability, and increased thermal and storage stability. The removal performance assay found that MACS-NIL-Cu-lac had a good removal efficiency with 100.0 % for 2,4-dichlorophenol in water at 25 °C, even when the concentration reached 50 mg/L. Reusability study showed that after six catalytic runs, the removal efficiency of 2,4-dichlorophenol by MACS-NIL-Cu-lac could still reach 93.2 %. Additionally, MACS-NIL-Cu-lac exhibited higher catalytic efficiencies with 100.0 %, 70.5 % and 93.3 % for bisphenol A, indole, and anthracene, respectively. The high catalytic performance in pure water system obtained by the novel biocatalyst co-immobilizing laccase and electron mediator ABTS showed greater practical application value.
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Affiliation(s)
- Xiang Qiu
- State Key Laboratory of Materials-Oriented Chemical Engineering, School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, China
| | - Shushu Wang
- State Key Laboratory of Materials-Oriented Chemical Engineering, School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, China
| | - Shanshan Miao
- State Key Laboratory of Materials-Oriented Chemical Engineering, School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, China
| | - Hongbo Suo
- School of Pharmacy, Liaocheng University, Liaocheng, Shandong 252059, China
| | - Huajin Xu
- State Key Laboratory of Materials-Oriented Chemical Engineering, School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, China
| | - Yi Hu
- State Key Laboratory of Materials-Oriented Chemical Engineering, School of Pharmaceutical Sciences, Nanjing Tech University, Nanjing 210009, China.
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