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Gu X, Tang D, Xuan Y, Shen Y, Lu L. Association between sagittal abdominal diameter-to-height ratio and arteriosclerotic cardiovascular disease among the United States adults: A cross-sectional study. Prev Med Rep 2024; 41:102707. [PMID: 38576516 PMCID: PMC10992687 DOI: 10.1016/j.pmedr.2024.102707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/06/2024] Open
Abstract
Objectives Abdominal obesity is recognized as a significant determinant of Arteriosclerotic cardiovascular disease (ASCVD), with sagittal abdominal diameter (SAD) being considered a more precise indicator of visceral fat. Nevertheless, the association between SAD and ASCVD remains unexplored in large-scale general-population studies. Methods The study included 11,211 participants aged 20 to 80 from the National Health and Nutrition Examination Survey. Logistic regression models were utilized to evaluate the association between the SAD-to-height ratio (SADHtR) and ASCVD. Subgroup analyses based on age categories, sex, diabetes, and hypertension were conducted to assess result robustness. Results The median SADHtR value was 0.13 (0.12-0.15), and 1,006 cases (7.46 %) of ASCVD were recorded. Multivariable models showed that each standard deviation increase in SADHtR was positively associated with higher odds of ASCVD (OR 1.48, 95 % CI 1.36-1.62 in model 1; OR 1.41, 95 % CI 1.28-1.54 in model 2; OR 1.18, 95 % CI 1.08-1.30 in model 3). Comparing the first quartile of SADHtR to the second to fourth quartiles, positive associations with ASCVD were observed in models 1 and 2. However, in model 3, only the fourth quartile of SADHtR remained statistically significant (OR 1.58, 95 % CI 1.17-2.15), with all p-values for the trend being less than 0.05. No interactions were found in the subgroup analyses. Conclusion This study demonstrates a positive association between SADHtR and ASCVD in the general adult population of the United States. Our findings indicate that SADHtR, especially when ≥ 0.155, could be a valuable metric for assessing the risk of ASCVD.
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Affiliation(s)
| | | | | | - Ying Shen
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, China
| | - Leiqun Lu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, China
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Gu X, Zhu F, Gao P, Shen Y, Lu L. Association between visceral adipose tissue and total testosterone among the United States male adults: a cross-sectional study. Int J Impot Res 2024:10.1038/s41443-024-00856-z. [PMID: 38653801 DOI: 10.1038/s41443-024-00856-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 02/11/2024] [Accepted: 02/14/2024] [Indexed: 04/25/2024]
Abstract
Visceral adipose tissue (VAT) is regarded as an important risk factor for obesity-related diseases. The results of the association between VAT and total testosterone (TT) are controversial and whether this association is nonlinear is still unknown. 3971 male participants who were aged 20-59 years from the National Health and Nutrition Examination Surveys 2011-2016 were included. VAT area was measured by dual-energy x-ray absorptiometry. TT in serum was assessed utilizing the isotope dilution liquid chromatography-tandem mass spectrometry technique. Linear regression models assessed the associations between VAT area and TT. A restricted cubic spline model was employed to investigate nonlinear relationships. A two-piecewise linear regression model was applied to determine the threshold effect. Subgroup analyses were conducted. The weighted methods were utilized in all analyses. VAT area was inversely associated with TT in the crude and adjusted models. In the fully adjusted model, VAT area was associated with TT (β = -0.59, 95% confidence interval [CI] = -0.74, -0.43) and compared to the first tertile of VAT area, the second and the third tertile had a lower TT level, the β and 95% CI = -65.49 (-83.72, -47.25) and -97.57 (-121.86, -73.27) respectively. We found these inverse associations were nonlinear. The cutoff point of the VAT area was 126 cm2. When the VAT area was <126 cm2, VAT area was significantly associated with a lower TT level (β = -1.55, 95% CI = -1.93 to -1.17, p < 0.0001). However, when the VAT area was ≥126 cm2, this association was less apparent (β = -0.26, 95% CI = -0.52 to 0.01, p = 0.06). No significant interactions among different ages (<50 or ≥50 years), marital, and physical activity status were found. These findings underscore the potential for VAT area as a modifiable indicator for improving testosterone deficiency.
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Affiliation(s)
- Xi Gu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Fanfan Zhu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ping Gao
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ying Shen
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Leiqun Lu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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Gu X, Xie T. LncRNA AC005165.1 Alleviates IL-1β-Induced Osteoarthritis via miR-199a-3p/TXNIP Axis. Biochem Genet 2024:10.1007/s10528-024-10720-w. [PMID: 38587691 DOI: 10.1007/s10528-024-10720-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 01/27/2024] [Indexed: 04/09/2024]
Abstract
Osteoarthritis (OA) is a chronic musculoskeletal disease and often causes impaired joint mobility and disability. Long noncoding RNAs (lncRNAs) play pivotal roles in OA development. This study was done to explore the role and mechanism of the lncRNA AC005165.1 in the cell model of interleukin-1β (IL)-1β-treated chondrocytes. This study recruited 20 surgically treated OA patients and 12 age- and gender-matched controls. Real-time reverse transcription quantitative polymerase chain reaction was used to examine the expression levels of AC005165.1, miR-199a-3p, and thioredoxin-interacting protein (TXNIP) in articular cartilage of patients and IL-1β-treated human chondrocytes. Cell viability and apoptosis were evaluated by cell counting kit-8 and flow cytometry assays, respectively. The protein levels of inflammatory cytokines were assessed by western blotting. Enzyme-linked immunosorbent assay was conducted to detect the concentrations of the inflammatory cytokines in chondrocytes. Luciferase reporter assay and Pearson's correlation analysis were used for analyzing the interaction and the correlation among AC005165.1, miR-199a-3p, and TXNIP. AC005165.1 expression was downregulated in cartilage of OA patients and chondrocytes treated with IL-1β, compared to that in the control groups. AC005165.1 knockdown increased apoptosis and aggravated inflammatory response in IL-1β-treated chondrocytes. AC005165.1 interacted with miR-199a-3p, and TXNIP was targeted by miR-199a-3p. In rescue assay, miR-199a-3p knockdown and TXNIP overexpression significantly reduced apoptosis and mitigated inflammatory response in IL-1β-treated chondrocytes with AC005165.1 knockdown. AC005165.1 knockdown promoted apoptosis and inflammatory response in IL-1β-treated chondrocytes via the miR-199a-3p/TXNIP axis.
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Affiliation(s)
- Xi Gu
- Department of Orthopedics, Wuhan Hospital of Traditional Chinese Medicine, No. 49 Lihuangpi Road, Jiang'an District, Wuhan, 430014, China
| | - Tian Xie
- Department of Orthopedics, Wuhan Hospital of Traditional Chinese Medicine, No. 49 Lihuangpi Road, Jiang'an District, Wuhan, 430014, China.
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Xie T, Gu X, Pan R, Huang W, Dong S. Evodiamine ameliorates intervertebral disc degeneration through the Nrf2 and MAPK pathways. Cytotechnology 2024; 76:153-166. [PMID: 38495298 PMCID: PMC10940566 DOI: 10.1007/s10616-023-00605-y] [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: 03/17/2023] [Accepted: 10/28/2023] [Indexed: 03/19/2024] Open
Abstract
Degradation of extracellular matrix (ECM), reactive oxygen species (ROS) production, and inflammation are critical players in the pathogenesis of intervertebral disc degeneration (IDD). Evodiamine exerts functions in inhibiting inflammation and maintaining mitochondrial antioxidant functions. However, the biological functions of evodiamine and its related mechanisms in IDD progression remain unknown. The IDD-like conditions in vivo were stimulated via needle puncture. Hematoxylin and eosin staining, Safranin O/Fast Green staining and Alcian staining were performed to determine the degenerative status. The primary nucleus pulposus cells (NPCs) were isolated from Sprague-Dawley rats and then treated with tert-butyl peroxide (TBHP) to induce cellular senescence and oxidative stress. The cell viability was assessed by cell counting kit-8 assays. The mitochondria-derived ROS in NPCs was evaluated by MitoSOX staining. The mitochondrial membrane potential in NPCs was identified by JC-1 staining and flow cytometry. The expression of collagen II in NPCs was measured by immunofluorescence staining. The levels of mRNAs and proteins were measured by RT-qPCR and western blotting. The Nrf2 expression in rat nucleus pulposus tissues was measured by immunohistochemistry staining. Evodiamine alleviated TBHP-induced mitochondrial dysfunctions in NPCs. The enhancing effect of TBHP on the ECM degradation was reversed by evodiamine. The TBHP-stimulated inflammatory response was ameliorated by evodiamine. Evodiamine alleviated the IDD process in the puncture-induced rat model. Evodiamine promoted the activation of Nrf2 pathway and inactivated the MAPK pathway in NPCs. In conclusion, evodiamine ameliorates the progression of IDD by inhibiting mitochondrial dysfunctions, ECM degradation and inflammation via the Nrf2/HO-1 and MAPK pathways.
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Affiliation(s)
- Tian Xie
- Department of Orthopedics, Wuhan Hospital of Traditional Chinese Medicine, No. 49 Lihuangpi Road, Jiang’an District, Wuhan, 430014 China
| | - Xi Gu
- Department of Orthopedics, Wuhan Hospital of Traditional Chinese Medicine, No. 49 Lihuangpi Road, Jiang’an District, Wuhan, 430014 China
| | - Ruijie Pan
- College of Acupuncture and Bone Injury, Hubei University of Chinese Medicine, Wuhan, 430061 China
| | - Wenzhuo Huang
- College of Acupuncture and Bone Injury, Hubei University of Chinese Medicine, Wuhan, 430061 China
| | - Sheng Dong
- College of Acupuncture and Bone Injury, Hubei University of Chinese Medicine, Wuhan, 430061 China
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Gu X, Jiang K, Chen R, Chen Z, Wu X, Xiang H, Huang X, Nan B. Identification of common stria vascularis cellular alteration in sensorineural hearing loss based on ScRNA-seq. BMC Genomics 2024; 25:213. [PMID: 38413848 PMCID: PMC10897997 DOI: 10.1186/s12864-024-10122-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 02/14/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND The stria vascularis (SV), located in the lateral wall of the cochlea, maintains cochlear fluid homeostasis and mechanoelectrical transduction (MET) activity required for sound wave conduction. The pathogenesis of a number of human inheritable deafness syndromes, age related hearing loss, drug-induced ototoxicity and noise-induced hearing loss results from the morphological changes and functional impairments in the development of the SV. In this study, we investigate the implications of intercellular communication within the SV in the pathogenesis of sensorineural hearing loss (SNHL). We aim to identify commonly regulated signaling pathways using publicly available single-cell transcriptomic sequencing (scRNA-seq) datasets. METHODS We analyzed scRNA-seq data, which was derived from studying the cochlear SV in mice with SNHL compared to normal adult mice. After quality control and filtering, we obtained the major cellular components of the mouse cochlear SV and integrated the data. Using Seurat's FindAllMarkers and FindMarkers packages, we searched for novel conservative genes and differential genes. We employed KEGG and GSEA to identify molecular pathways that are commonly altered among different types of SNHL. We utilized pySCENIC to discover new specific regulatory factors in SV subpopulation cells. With the help of CellChat, we identified changes in subpopulation cells showing similar trends across different SNHL types and their alterations in intercellular communication pathways. RESULTS Through the analysis of the integrated data, we discovered new conserved genes to SV specific cells and identified common downregulated pathways in three types of SNHL. The enriched genes for these pathways showing similar trends are primarily associated with the Electron Transport Chain, related to mitochondrial energy metabolism. Using the CellChat package, we further found that there are shared pathways in the incoming signaling of specific intermediate cells in SNHL, and these pathways have common upstream regulatory transcription factor of Nfe2l2. Combining the results from pySCENIC and CellChat, we predicted the transcription factor Nfe2l2 as an upstream regulatory factor for multiple shared cellular pathways in IC. Additionally, it serves as an upstream factor for several genes within the Electron Transport Chain. CONCLUSION Our bioinformatics analysis has revealed that downregulation of the mitochondrial electron transport chain have been observed in various conditions of SNHL. E2f1, Esrrb, Runx1, Yy1, and Gata2 could serve as novel important common TFs regulating the electron transport chain. Adm has emerged as a potential new marker gene for intermediate cells, while Itgb5 and Tesc show promise as potential new marker genes for marginal cells in the SV. These findings offer a new perspective on SV lesions in SNHL and provide additional theoretical evidence for the same drug treatment and prevention of different pathologies of SNHL.
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Affiliation(s)
- Xi Gu
- Department of Otorhinolaryngology, Head and Neck Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Kanglun Jiang
- Department of Otorhinolaryngology-Head and Neck Surgery, Zhongshan Hospital, Fudan University, Fenglin Road 180, Xuhui District, Shanghai, 200030, People's Republic of China
| | - Ruru Chen
- Department of Otorhinolaryngology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zhifeng Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xianmin Wu
- Department of Otolaryngology-Head and Neck Surgery, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Haijie Xiang
- Department of Otorhinolaryngology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xinsheng Huang
- Department of Otorhinolaryngology-Head and Neck Surgery, Zhongshan Hospital, Fudan University, Fenglin Road 180, Xuhui District, Shanghai, 200030, People's Republic of China.
| | - Benyu Nan
- Department of Otorhinolaryngology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
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Zhang Y, Liu Y, Gu X, Wang N, Wan J, Zhang Y, Chen L. [Epidemiological and clinical features of newly reported advanced schistosomiasis cases in Sichuan Province from 2011 to 2022]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 35:621-625. [PMID: 38413023 DOI: 10.16250/j.32.1374.2023148] [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] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
OBJECTIVE To analyze the epidemiological characteristics of newly reported advanced schistosomiasis cases in Sichuan Province, so as to provide the evidence for analyzing the causes and formulating targeted control measures of newly reported advanced schistosomiasis cases. METHODS Individual case investigation forms for advanced schistosomiasis cases were collected from the Sichuan Provincial Epidemic Annual Report System from 2011 to 2022, and patients' demographics, previous medical history and liver parenchymal grading were retrieved. All advanced schistosomiasis cases' medical records were reviewed, and the subtypes of schistosomiasis-endemic villages where the cases' household registration were, floating population, survival and death and time of death were collected. RESULTS A total of 321 newly reported advanced schistosomiasis cases were found in Sichuan Province from 2011 to 2022, with a male to female ratio of 0.99 to 1. There were 274 cases at ages of over 50 years (85.4%), with the highest proportion seen at ages of 60 to 69 years (87 cases, 27.1%), and splenomegaly was the most common type (180 cases, 56.1%), with no dwarfism type detected. The highest number of cases was reported in 2011 (78 cases), followed by in 2022 (74 cases), and the highest number of cases were reported in Meishan City (199 cases, 62.0%), Dongpo District (131 cases, 40.8%), and hilly subtype areas (136 cases, 42.4%). As of the end of 2022, there were 111 deaths due to advanced schistosomiasis, with the highest number of deaths seen in 2018 (25 deaths), and the highest mortality was seen among patients with the ascites type (41.2%). There were 47 (37.3%), 40 (59.5%) and 4 (23.5%) cases with grade III liver parenchyma among patients with splenomegaly, ascites, and colonic proliferation types, respectively, and there was a significant difference in the grading of III liver parenchyma among three types of patients (H = 12.092, P < 0.05), with more severe liver parenchyma injuries seen among patients with the ascites type than among those with splenomegaly and colonic proliferation type (Z = 24.262 and 44.738, both Padjusted values < 0.05). CONCLUSIONS There have been newly reported advanced schistosomiasis cases in Sichuan Province during recent years, and patients with the ascites type should be given a high priority among advanced schistosomiasis cases in Sichuan Province. Intensified clue surveys are needed for early identification and treatment of advanced schistosomiasis cases, so as to increase the survival rate and improve the quality of life.
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Affiliation(s)
- Y Zhang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - Y Liu
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - X Gu
- Zhongjiang County Station of Schistosomiasis Prevention and Control, Deyang City, Sichuan Province, China
| | - N Wang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - J Wan
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - Y Zhang
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
| | - L Chen
- Sichuan Center for Disease Control and Prevention, Chengdu, Sichuan 610000, China
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Gu X, Wang X, Wang S, Shen Y, Lu L. Composite Dietary Antioxidant Index is inversely associated with visceral adipose tissue area among U.S. adults: A cross-sectional study. Nutr Res 2024; 124:13-20. [PMID: 38359510 DOI: 10.1016/j.nutres.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 01/22/2024] [Accepted: 01/22/2024] [Indexed: 02/17/2024]
Abstract
Obesity is becoming a global health problem. Visceral adiposity is the main cause of metabolic and cardiovascular diseases. Dietary improvement is the key to controlling obesity. We hypothesized that a higher Composite Dietary Antioxidant Index (CDAI) was associated with a lower visceral adipose tissue (VAT) area. In this cross-sectional study, 10,389 adults were selected from the National Health and Nutrition Examination Survey 2011-2018. CDAI was calculated based on 6 micronutrients: zinc, selenium, total carotenoids, vitamin A, vitamin C, and vitamin E. VAT area was determined by the dual-energy X-ray absorptiometry scan. Linear regression models were constructed to evaluate the association between CDAI and VAT area. Subgroup analyses were also performed. The mean age of participants was 39.68 years, 5240 were male, and 3841 of those were non-Hispanic White. The inverse associations were observed in all models. In model 3, CDAI was inversely associated with VAT area as a continuous variable, β (95% confidence interval), -0.56 (-0.85 to -0.27). When compared with the first tertile, the third tertile of CDAI was also inversely associated with VAT area, β (95% confidence interval), -6.72 (-10.44 to -2.99). No interactions were found in the subgroup analyses. In conclusion, an inverse association between CDAI and VAT area was found among U.S. adults aged 20 to 59 years. These results suggest the possible benefit of an antioxidant diet in relieving visceral obesity. More prospective studies are needed to identify this dietary benefit.
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Affiliation(s)
- Xi Gu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, China.
| | - Xun Wang
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, China
| | - Sujie Wang
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, China
| | - Ying Shen
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, China
| | - Leiqun Lu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, China
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Zeng C, Gu X, Chen Y, Lin Y, Chen J, Chen Z, Chen C, Yao G, Lin C. Identification and experimental validation of ferroptosis-related gene lactotransferrin in age-related hearing loss. Front Aging Neurosci 2024; 16:1309115. [PMID: 38282692 PMCID: PMC10809180 DOI: 10.3389/fnagi.2024.1309115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 01/02/2024] [Indexed: 01/30/2024] Open
Abstract
Objective To reveal the relationship between ARHL and ferroptosis and screen ferroptosis-related genes (FRGs) in ARHL. Methods Bioinformatics were used to analyze the hub genes and molecular mechanism of ferroptosis in the aging cochleae. Senescence β-galactosidase staining, iron content detection, and micro malondialdehyde (MDA) assay kits were used to measure β-galactosidase activity, and expression of Fe2+ and MDA, respectively. Fluorescence microscope was used for immunofluorescence assay of hub genes. Western blot was used to verify the expression of hub genes in HEI-OC1 cells, cochlear explants, and cochleae of C57BL/6J mice. Data were expressed as mean ± SD of at least three independent experiments. Results The analysis of bioinformatics confirmed that lactotransferrin (LTF) is the hub gene and CEBPA-miR-130b-LTF network is the molecular mechanism for cochlear ferroptosis. Compared with the control group, the experiments proved that the indicators of ferroptosis, including Fe2+, MDA, and LTF were differentially expressed in aging HEI-OC1 cells, aging cochlear explants, and aging cochleae. Conclusion These results demonstrate that ferroptosis plays an important role in ARHL, and LTF is a potential therapeutic target for ARHL via regulating cochlear ferroptosis.
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Affiliation(s)
- Chaojun Zeng
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xi Gu
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yuqing Chen
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yanchun Lin
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Junying Chen
- Central Laboratory, Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Central Laboratory, Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Zhifeng Chen
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Chenyu Chen
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Guangnan Yao
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Chang Lin
- Department of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Institute of Otolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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Chen C, Weng S, Chen Z, Chen Y, Yao G, Huang X, Gu X, Lin C. The association between high jugular bulb and mastoid pneumatization in adults. Front Neurol 2024; 14:1331604. [PMID: 38259651 PMCID: PMC10800961 DOI: 10.3389/fneur.2023.1331604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Purpose The purpose of this study was to analyze the relationship between the degree of high jugular bulb (HJB) and mastoid pneumatization using high-resolution computed tomography (HRCT). Methods Between April 2019 and June 2022, HRCT of the temporal bone was retrospectively analyzed in 1,025 patients. By excluding the other coexistent pathologies, 113 patients with HJBs were recruited for the study. The degree of the HJBs were defined as follows: Grade I, JB situated between inferior annulus of tympanic membrane and cochlear basal turn (CBT). Grade II, JB situated between CBT and lateral semicircular canal (LSC). Grade III, JB situated above LSC. The volume of mastoid pneumatization was based on HRCT images using a 3D reconstruction. Results There were 32 male and 81 female subjects (mean age, 41.2 ± 14.0 years; age range, 18-80 years). The male group included 16 Grade I, 28 Grade II and 6 Group III HJB subjects. The female group included 38 Grade I, 62 Grade II and 31 Group III HJB cases. In the different groups of HJB, the mastoid cell volume differences were also not statistically significant (p = 0.165). In the classification, Grade II was most common (90/181, 49.7%). Conclusion This study found no correlation between mastoid air cell volume and HJB, suggesting that HJB may not affect the mastoid air cell development and disease occurrence. These data must be considered exploratory, requiring more extensive cross-sectional studies.
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Affiliation(s)
- Chenyu Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, China
- Fujian Branch of National Clinical Medical Research Center for Otorhinolaryngologic Diseases, Fuzhou, China
- Fujian Institute of Otorhinolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Simin Weng
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Zhifeng Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yuqing Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Guangnan Yao
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xiying Huang
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xi Gu
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, China
- Fujian Branch of National Clinical Medical Research Center for Otorhinolaryngologic Diseases, Fuzhou, China
- Fujian Institute of Otorhinolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Chang Lin
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, China
- Fujian Branch of National Clinical Medical Research Center for Otorhinolaryngologic Diseases, Fuzhou, China
- Fujian Institute of Otorhinolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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10
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Wang F, Chen L, Li Y, Huo P, Gu X, Hu M, Deng D. Self-Lifting Droplet Driven by the Solidification-Induced Solutal Marangoni Flow. Phys Rev Lett 2024; 132:014002. [PMID: 38242657 DOI: 10.1103/physrevlett.132.014002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/06/2023] [Indexed: 01/21/2024]
Abstract
Multicomponent droplets are pertinent to diverse applications ranging from 3D printing to fabrication of electronic devices to medical diagnostics and are typically inherent with the occurrence of the phase transition in the manifestation of evaporation and solidification. Indeed, the versatile transformations and fascinating morphologies of the droplets have been identified, which primarily arise from the evaporation-induced flow. Here, we report the self-lifting behavior of a frozen binary droplet, resulting in a nearly doubling in height, in a fashion that defies against the gravitational effect. This counterintuitive observation is attributed to an internal solutal Marangoni flow up to 1 mm/s, which is driven by the enriched solute concentration locally in the vicinity of the solidification front. Moreover, we perform theoretical analysis by incorporating the propagation of solidification front, and the calculated spatiotemporal evolution of droplet shape agrees with experiments excellently. The effects of several key physical parameters on self-lifting are elucidated quantitatively, providing guidance to control the self-lifting. These results will further advance our understanding of underlying physicochemical hydrodynamics in the multicomponent liquid systems subjected to heat transfer and phase change, consequently shedding light on the relevant technological applications.
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Affiliation(s)
- Feng Wang
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Li Chen
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Yuqi Li
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Peng Huo
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Xi Gu
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Man Hu
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
| | - Daosheng Deng
- Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China
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11
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Chen G, Gu X, Xue J, Zhang X, Yu X, Zhang Y, Li A, Zhao Y, He G, Tang M, Xing F, Yin J, Bian X, Han Y, Cao S, Liu C, Jiang X, Zhang K, Xia Y, Li H, Niu N, Liu C. Effects of neoadjuvant stereotactic body radiotherapy plus adebrelimab and chemotherapy for triple-negative breast cancer: A pilot study. eLife 2023; 12:e91737. [PMID: 38131294 PMCID: PMC10746137 DOI: 10.7554/elife.91737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 11/15/2023] [Indexed: 12/23/2023] Open
Abstract
Background Emerging data have supported the immunostimulatory role of radiotherapy, which could exert a synergistic effect with immune checkpoint inhibitors (ICIs). With proven effective but suboptimal effect of ICI and chemotherapy in triple-negative breast cancer (TNBC), we designed a pilot study to explore the efficacy and safety of neoadjuvant stereotactic body radiotherapy (SBRT) plus adebrelimab and chemotherapy in TNBC patients. Methods Treatment-naïve TNBC patients received two cycles of intravenous adebrelimab (20 mg/kg, every 3 weeks), and SBRT (24 Gy/3 f, every other day) started at the second cycle, then followed by six cycles of adebrelimab plus nab-paclitaxel (125 mg/m² on days 1 and 8) and carboplatin (area under the curve 6 mg/mL per min on day 1) every 3 weeks. The surgery was performed within 3-5 weeks after the end of neoadjuvant therapy. Primary endpoint was pathological complete response (pCR, ypT0/is ypN0). Secondary endpoints included objective response rate (ORR), residual cancer burden (RCB) 0-I, and safety. Results 13 patients were enrolled and received at least one dose of therapy. 10 (76.9%) patients completed SBRT and were included in efficacy analysis. 90% (9/10) of patients achieved pCR, both RCB 0-I and ORR reached 100% with three patients achieved complete remission. Adverse events (AEs) of all-grade and grade 3-4 occurred in 92.3% and 53.8%, respectively. One (7.7%) patient had treatment-related serious AEs. No radiation-related dermatitis or death occurred. Conclusions Adding SBRT to adebrelimab and neoadjuvant chemotherapy led to a substantial proportion of pCR with acceptable toxicities, supporting further exploration of this combination in TNBC patients. Funding None. Clinical trial number NCT05132790.
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Affiliation(s)
- Guanglei Chen
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Cancer Stem Cell and Translational Medicine Laboratory, Shengjing Hospital of China Medical UniversityShenyangChina
- Innovative Cancer Drug Research and Development Engineering Center of Liaoning ProvinceShenyangChina
| | - Xi Gu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Cancer Stem Cell and Translational Medicine Laboratory, Shengjing Hospital of China Medical UniversityShenyangChina
- Innovative Cancer Drug Research and Development Engineering Center of Liaoning ProvinceShenyangChina
| | - Jinqi Xue
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Cancer Stem Cell and Translational Medicine Laboratory, Shengjing Hospital of China Medical UniversityShenyangChina
- Innovative Cancer Drug Research and Development Engineering Center of Liaoning ProvinceShenyangChina
| | - Xu Zhang
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Xiaopeng Yu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Yu Zhang
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Department of Gastrointestinal Surgery, Yantai Affiliated Hospital of Binzhou Medical UniversityYantaiChina
| | - Ailin Li
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Yi Zhao
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Guijin He
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Meiyue Tang
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Fei Xing
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Jianqiao Yin
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Xiaobo Bian
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Ye Han
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Shuo Cao
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
| | - Chao Liu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Cancer Stem Cell and Translational Medicine Laboratory, Shengjing Hospital of China Medical UniversityShenyangChina
- Innovative Cancer Drug Research and Development Engineering Center of Liaoning ProvinceShenyangChina
| | - Xiaofan Jiang
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Cancer Stem Cell and Translational Medicine Laboratory, Shengjing Hospital of China Medical UniversityShenyangChina
- Innovative Cancer Drug Research and Development Engineering Center of Liaoning ProvinceShenyangChina
| | - Keliang Zhang
- Liaoning Center for Drug Evaluation and InspectionShenyangChina
| | - Yan Xia
- Jiangsu Hengrui PharmaceuticalsShanghaiChina
| | - Huajun Li
- Jiangsu Hengrui PharmaceuticalsShanghaiChina
| | - Nan Niu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Cancer Stem Cell and Translational Medicine Laboratory, Shengjing Hospital of China Medical UniversityShenyangChina
- Innovative Cancer Drug Research and Development Engineering Center of Liaoning ProvinceShenyangChina
| | - Caigang Liu
- Department of Oncology, Shengjing Hospital of China Medical UniversityShenyangChina
- Cancer Stem Cell and Translational Medicine Laboratory, Shengjing Hospital of China Medical UniversityShenyangChina
- Innovative Cancer Drug Research and Development Engineering Center of Liaoning ProvinceShenyangChina
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12
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Chen G, Sun L, Gu X, Ai L, Yang J, Zhang Z, Hou P, Wang Y, Ou X, Jiang X, Qiao X, Ma Q, Niu N, Xue J, Zhang H, Yang Y, Liu C. FSIP1 enhances the therapeutic sensitivity to CDK4/6 inhibitors in triple-negative breast cancer patients by activating the Nanog pathway. Sci China Life Sci 2023; 66:2805-2817. [PMID: 37460715 DOI: 10.1007/s11427-023-2343-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 03/06/2023] [Indexed: 12/18/2023]
Abstract
CDK4/6 inhibitors are routinely recommended agents for the treatment of advanced HR+HER2- breast cancer. However, their therapeutic effectiveness in triple-negative breast cancer (TNBC) remains controversial. Here, we observed that the expression level of fibrous sheath interacting protein 1 (FSIP1) could predict the treatment response of TNBC to CDK4/6 inhibitors. High FSIP1 expression level was related to a poor prognosis in TNBC, which was associated with the ability of FSIP1 to promote tumor cell proliferation. FSIP1 downregulation led to slowed tumor growth and reduced lung metastasis in TNBC. FSIP1 knockout caused cell cycle arrest at the G0/G1 phase and reduced treatment sensitivity to CDK4/6 inhibitors by inactivating the Nanog/CCND1/CDK4/6 pathway. FSIP1 could form a complex with Nanog, protecting it from ubiquitination and degradation, which may facilitate the rapid cell cycle transition from G0/G1 to S phase and exhibit enhanced sensitivity to CDK4/6 inhibitors. Our findings suggest that TNBC patients with high FSIP1 expression levels may be suitable candidates for CDK4/6 inhibitor treatment.
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Affiliation(s)
- Guanglei Chen
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Lisha Sun
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Xi Gu
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Liping Ai
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Jie Yang
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Zhan Zhang
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Pengjie Hou
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Yining Wang
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Xunyan Ou
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Xiaofan Jiang
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Xinbo Qiao
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Qingtian Ma
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Nan Niu
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Jinqi Xue
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Hao Zhang
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Yongliang Yang
- School of Bioengineering, Dalian University of Technology, Dalian, 116024, China
| | - Caigang Liu
- Department of Oncology, Cancer Stem Cell and Translation Medicine Lab, Innovative Cancer Drug Research and Development Engineering Center of Liaoning Province, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
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13
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Jing S, Dai Z, Wu Y, Liu X, Ren T, Liu X, Zhang L, Fu J, Chen X, Xiao W, Wang H, Huang Y, Qu Y, Wang W, Gu X, Ma L, Zhang S, Yu Y, Li L, Han Z, Su X, Qiao Y, Wang C. Prevalence and influencing factors of depressive and anxiety symptoms among hospital-based healthcare workers during the surge period of the COVID-19 pandemic in the Chinese mainland: a multicenter cross-sectional study. QJM 2023; 116:911-922. [PMID: 37561096 DOI: 10.1093/qjmed/hcad188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 07/06/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND From November 2022 to February 2023, the Chinese mainland experienced a surge in COVID-19 infection and hospitalization, and the hospital-based healthcare workers (HCWs) might suffer serious psychological crisis during this period. This study aims to assess the depressive and anxiety symptoms among HCWs during the surge of COVID-19 pandemic and to provide possible reference on protecting mental health of HCWs in future infectious disease outbreaks. METHODS A multicenter cross-sectional study was carried out among hospital-based HCWs in the Chinese mainland from 5 January to 9 February 2023. The PHQ-9 (nine-item Patient Health Questionnaire) and GAD-7 (seven-item Generalized Anxiety Disorder Questionnaire) were used to measure depressive and anxiety symptoms. Ordinal logistic regression analysis was performed to identify influencing factors. RESULTS A total of 6522 hospital-based HCWs in the Chinse mainland were included in this survey. The prevalence of depressive symptoms among the HCWs was 70.75%, and anxiety symptoms was 47.87%. The HCWs who perceived higher risk of COVID-19 infection and those who had higher work intensity were more likely to experience depressive and anxiety symptoms. Additionally, higher levels of mindfulness, resilience and perceived social support were negatively associated with depressive and anxiety symptoms. CONCLUSION This study revealed that a high proportion of HCWs in the Chinese mainland suffered from mental health disturbances during the surge of the COVID-19 pandemic. Resilience, mindfulness and perceived social support are important protective factors of HCWs' mental health. Tailored interventions, such as mindfulness practice, should be implemented to alleviate psychological symptoms of HCWs during the COVID-19 pandemic or other similar events in the future.
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Affiliation(s)
- S Jing
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Z Dai
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Wu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Liu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - T Ren
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Liu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Zhang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - J Fu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Xiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - H Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Huang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Qu
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Wang
- School of Nursing, Jining Medical University, Jining, Shandong, China
| | - X Gu
- Affiliated Tumor Hospital, Xinjiang Medical University, Urumqi, China
| | - L Ma
- Public Health School, Dalian Medical University, Dalian, China
| | - S Zhang
- Henan Cancer Hospital, Affiliate Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Y Yu
- The First Affiliated Hospital of Baotou Medical College, Baotou, Inner Mongolia Autonomous Region, China
| | - L Li
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong, China
| | - Z Han
- China Foreign Affairs University, Beijing, China
| | - X Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Qiao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Department of Epidemiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - C Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Chinese Academy of Engineering, Beijing, China
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14
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Chen Y, Chen C, Gao G, Zeng C, Chen Z, Lin G, Yao G, Nian S, Chen X, Weng S, Gu X, Lin C. Identification and validation of N6-methyladenosine (m6A)-related lncRNAs signature for predicting the prognosis of laryngeal carcinoma, especially for smoking patients. Front Genet 2023; 14:1292164. [PMID: 38028627 PMCID: PMC10666777 DOI: 10.3389/fgene.2023.1292164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 10/23/2023] [Indexed: 12/01/2023] Open
Abstract
Laryngeal cancer (LC), a highly fatal tumor in the head and neck region, has been the focus of research in recent years. The study of LC has primarily focused on the role of long non-coding RNAs (lncRNAs) in regulating gene expression, as they have emerged as pivotal factors in this biological process. Additionally, a reversible RNA modification called N6-methyladenosine (m6A) has been observed to have a significant impact on gene expression as well. The purpose of this research is to investigate the impact of m6A-related lncRNAs on the prognosis of laryngeal squamous cell carcinoma (LSCC). Specifically, this investigation analyzed the m6A-related regulators' patterns of expression and mutation, encompassing a total of 15 regulators. Drawing upon the expression levels of prognostic m6A-regulated lncRNAs, two distinct lncRNA clusters were identified. Further analysis revealed differentially expressed lncRNAs between these clusters. In addition to studying the expression of lncRNAs, the researchers also examined the distribution of clinical characteristics and the tumor microenvironment (TME) in relation to the identified lncRNA clusters. This provided valuable insights into potential associations between lncRNA expression patterns and the clinical features of LSCC. Through the establishment of a risk model associated with lncRNAs, we were able to further investigate their clinical features, prognosis, and immune status. Additionally, we conducted a separate analysis of LINC00528, a lncRNA associated with smoking, examining its expression, overall survival time, correlated mRNAs, and conducting enrichment of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), as well as determining the sensitivity of related drugs. RT-qPCR results also indicated an increase in LINC00528 expression among smoking LSCC patients. The findings suggest that a high expression level of LINC00528 in LSCC patients may lead to a more favorable prognosis, providing new insights for the management and treatment of LSCC patients, particularly those with high expression of LINC00528. Overall, this research sheds light on the prognostic impact of m6A-regulated lncRNAs in LSCC. The implications of these findings for the advancement of innovative therapeutic approaches for LSCC patients are noteworthy.
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Affiliation(s)
- Yuqing Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Chenyu Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Gufeng Gao
- Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
| | - Chaojun Zeng
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Zhifeng Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Gongbiao Lin
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Guangnan Yao
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Shenqing Nian
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Xihang Chen
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Simin Weng
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Xi Gu
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
| | - Chang Lin
- Department of Otorhinolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Otorhinolaryngology, Head and Neck Surgery, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Fujian Provincial Clinical Medical Research Center for Ear, Nose and Throat Difficulty Diseases, Fuzhou, Fujian, China
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15
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Ma R, Song N, Wang L, Gu X, Xiong F, Zhang S, Zhang J, Yang W, Zuo Z. Discovery of 2-(Methylcarbonylamino) thiazole as PDE4 inhibitors via virtual screening and biological evaluation. J Mol Graph Model 2023; 124:108567. [PMID: 37481883 DOI: 10.1016/j.jmgm.2023.108567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/30/2023] [Accepted: 07/12/2023] [Indexed: 07/25/2023]
Abstract
Phosphodiesterase-4, the primary enzyme responsible for cAMP degradation in the majority of immune and inflammatory cells, plays a critical role in the regulation of intracellular cAMP levels. Consequently, small molecular entities capable of inhibiting PDE4 have been employed in the treatment of inflammation-associated disorders, such as chronic obstructive pulmonary disease (COPD), psoriasis, atopic dermatitis (AD), inflammatory bowel diseases (IBD), rheumatic arthritis (RA). In the present investigation, a multi-faceted approach was employed to identify novel PDE4 inhibitors, utilizing the co-crystallization structure of PDE4B available in the Protein Data Bank (PDB) database, drug-like screening, false positive filtration, similarity and ADMET screen, as well as molecular docking via multiple software platforms, in conjunction with bioactivity assays. A thiazol-3-propanamides derivative, designated MR9, was discovered to inhibit PDE4B activity with IC50 values of 2.12 μM and suppress cellular inflammatory factor TNF-α release with an EC50 value of 3.587 μM. These findings suggest that the innovative active scaffold of MR9 offers a promising foundation for further structural refinement aimed at developing more potent PDE4 inhibitors.
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Affiliation(s)
- Rui Ma
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China
| | - Na Song
- School of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, 650500, PR China
| | - Lveli Wang
- School of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, 650500, PR China
| | - Xi Gu
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, PR China
| | - Feng Xiong
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, PR China
| | - Shuqun Zhang
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, PR China
| | - Jie Zhang
- School of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, 650500, PR China
| | - Weimin Yang
- School of Pharmaceutical Science and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, 650500, PR China.
| | - Zhili Zuo
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, 650201, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China.
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16
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Liu Y, Yang W, Xue J, Chen J, Liu S, Zhang S, Zhang X, Gu X, Dong Y, Qiu P. Neuroinflammation: The central enabler of postoperative cognitive dysfunction. Biomed Pharmacother 2023; 167:115582. [PMID: 37748409 DOI: 10.1016/j.biopha.2023.115582] [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: 07/25/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 09/27/2023] Open
Abstract
The proportion of advanced age patients undergoing surgical procedures is on the rise owing to advancements in surgical and anesthesia technologies as well as an overall aging population. As a complication of anesthesia and surgery, older patients frequently suffer from postoperative cognitive dysfunction (POCD), which may persist for weeks, months or even longer. POCD is a complex pathological process involving multiple pathogenic factors, and its mechanism is yet unclear. Potential theories include inflammation, deposition of pathogenic proteins, imbalance of neurotransmitters, and chronic stress. The identification, prevention, and treatment of POCD are still in the exploratory stages owing to the absence of standardized diagnostic criteria. Undoubtedly, comprehending the development of POCD remains crucial in overcoming the illness. Neuroinflammation is the leading hypothesis and a crucial component of the pathological network of POCD and may have complex interactions with other mechanisms. In this review, we discuss the possible ways in which surgery and anesthesia cause neuroinflammation and investigate the connection between neuroinflammation and the development of POCD. Understanding these mechanisms may likely ensure that future treatment options of POCD are more effective.
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Affiliation(s)
- Yang Liu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning province, China
| | - Wei Yang
- Department of Infectious Disease, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning province, China
| | - Jinqi Xue
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning province, China
| | - Juntong Chen
- Zhejiang University School of Medicine, Hangzhou 311121, Zhejiang province, China
| | - Shiqing Liu
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China
| | - Shijie Zhang
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China
| | - Xiaohui Zhang
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China
| | - Xi Gu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning province, China.
| | - Youjing Dong
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China.
| | - Peng Qiu
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China.
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17
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Shen M, Li L, Li Y, Gu X, Bai L, Xia C, Xiong W, Zuo Z. Discovery of potential novel TRPC5 inhibitors by virtual screening and bioassay. Bioorg Med Chem 2023; 94:117477. [PMID: 37738708 DOI: 10.1016/j.bmc.2023.117477] [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: 07/03/2023] [Revised: 08/22/2023] [Accepted: 09/13/2023] [Indexed: 09/24/2023]
Abstract
The transient receptor potential canonical channel 5 (TRPC5), a member of the TRPC family, plays a crucial role in the regulation of various physiological activities and diseases, including those related to the central nervous system, cardiovascular system, kidney, and cancer. As a nonselective cation channel, TRPC5 mainly controls the influx of extracellular Ca2+ into cells, thereby modulating cellular depolarization and intracellular ion concentration. Inhibition of TRPC5 by small molecules presents a promising approach for the treatment of TRPC5-associated diseases. In this study, we conducted a comprehensive virtual screening of more than 1.5 million molecules from the Chemdiv database (https://www.chemdiv.com) to identify potential inhibitors of hTRPC5, utilizing the published structures and binding sites of hTRPC5 as a basis. Lipinski's rule, Veber's rule, PAINS filters, pharmacophore analysis, molecular docking, ADMET evaluation and cluster analysis methods were applied for the screening. From this rigorous screening process, 18 candidates exhibiting higher affinities to hTRPC5 were subsequently evaluated for their inhibitory effects on Ca2+ influx using a fluorescence-based assay. Notably, two molecules, namely SML-1 and SML-13, demonstrated significant inhibition of intracellular Ca2+ levels in hTRPC5-overexpressing HEK 293T cells, with IC50 values of 10.2 μM and 10.3 μM, respectively. These findings highlight SML-1 and SML-13 as potential lead molecules for the development of therapeutics targeting hTRPC5 and its associated physiological activities and diseases.
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Affiliation(s)
- Meiling Shen
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Lingfeng Li
- Key Laboratory of Medicinal Chemistry for Natural Resource (Ministry of Education), School of Pharmacy, Yunnan University, Kunming 650091, China
| | - Yue Li
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Xi Gu
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Longhui Bai
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Chengfeng Xia
- Key Laboratory of Medicinal Chemistry for Natural Resource (Ministry of Education), School of Pharmacy, Yunnan University, Kunming 650091, China
| | - Wenyong Xiong
- Key Laboratory of Medicinal Chemistry for Natural Resource (Ministry of Education), School of Pharmacy, Yunnan University, Kunming 650091, China.
| | - Zhili Zuo
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; University of the Chinese Academy of Sciences, Beijing 100049, China.
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Gonçalves M, Khera T, Otu HH, Narayanan S, Dillon ST, Shanker A, Gu X, Jung Y, Ngo LH, Marcantonio ER, Libermann TA, Subramaniam B. Multivariable model of postoperative delirium in cardiac surgery patients: proteomic and demographic contributions. medRxiv 2023:2023.05.30.23289741. [PMID: 37333093 PMCID: PMC10274980 DOI: 10.1101/2023.05.30.23289741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Background Delirium following cardiac surgery is common, morbid, and costly, but may be prevented with risk stratification and targeted intervention. Preoperative protein signatures may identify patients at increased risk for worse postoperative outcomes, including delirium. In this study, we aimed to identify plasma protein biomarkers and develop a predictive model for postoperative delirium in older patients undergoing cardiac surgery, while also uncovering possible pathophysiological mechanisms. Methods SOMAscan analysis of 1,305 proteins in the plasma from 57 older adults undergoing cardiac surgery requiring cardiopulmonary bypass was conducted to define delirium-specific protein signatures at baseline (PREOP) and postoperative day 2 (POD2). Selected proteins were validated in 115 patients using the ELLA multiplex immunoassay platform. Proteins were combined with clinical and demographic variables to build multivariable models that estimate the risk of postoperative delirium and bring light to the underlying pathophysiology. Results A total of 115 and 85 proteins from SOMAscan analyses were found altered in delirious patients at PREOP and POD2, respectively (p<0.05). Using four criteria including associations with surgery, delirium, and biological plausibility, 12 biomarker candidates (Tukey's fold change (|tFC|)>1.4, Benjamini-Hochberg (BH)-p<0.01) were selected for ELLA multiplex validation. Eight proteins were significantly altered at PREOP, and seven proteins at POD2 (p<0.05), in patients who developed postoperative delirium compared to non-delirious patients. Statistical analyses of model fit resulted in the selection of a combination of age, sex, and three proteins (angiopoietin-2 (ANGPT2); C-C motif chemokine 5 (CCL5); and metalloproteinase inhibitor 1 (TIMP1); AUC=0.829) as the best performing predictive model for delirium at PREOP. The delirium-associated proteins identified as biomarker candidates are involved with inflammation, glial dysfunction, vascularization, and hemostasis, highlighting the multifactorial pathophysiology of delirium. Conclusion Our study proposes a model of postoperative delirium that includes a combination of older age, female sex, and altered levels of three proteins. Our results support the identification of patients at higher risk of developing postoperative delirium after cardiac surgery and provide insights on the underlying pathophysiology. ClinicalTrials.gov ( NCT02546765 ).
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Yang Z, Zamarud A, Marianayagam N, Park D, Yener U, Soltys SG, Chang SD, Meola A, Lu W, Gu X. Overall Survival Prediction in Stereotactic Radiosurgery Patients with Glioblastoma Via a Deep-Learning Approach. Int J Radiat Oncol Biol Phys 2023; 117:e159. [PMID: 37784752 DOI: 10.1016/j.ijrobp.2023.06.988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Accurate and automated early survival prediction is critical for glioblastoma (GBM) patients as their poor prognosis requires timely treatment decision-making. We have developed a deep learning (DL)-based GBM overall survival (OS) prediction model based on a multi-institutional public dataset using only pre-operative basic structural multi-parametric magnetic resonance images (MRIs). The purpose of this study is to evaluate this DL-based OS prediction model with an institutional stereotactic radiosurgery (SRS) clinical trial dataset. MATERIALS/METHODS The task of this study is to classify GBM patients into 3 OS classes: long-survivors (>15 months), mid-survivors (between 10 and 15 months) and short-survivors (< 10 months). The proposed OS prediction model is an ensemble of a ResNet-based classifier and a K-NN classifier. The ResNet-based classifier is trained in a Siamese fashion to explore inter-class differences. During testing, training sample features are implemented with a K-NN classifier to ensemble with the ResNet-based classifier. A public dataset from Medical Image Computing and Computer Assisted Intervention (MICCAI) Brain Tumor Segmentation (BraTS) challenge 2020 (235 patients) were used for model establishing and initial validation. Then the validated model was evaluated on 19 GBM patients from an institutional SRS clinical trial. Each data entry consists of pre-operative basic structural multi-parametric MRIs and survival days, as well as patient ages for BraTS data and basic clinical characteristics for institutional data. GBM sub-regions, including contrast-enhancing tumor, peri-tumoral edema, and necrotic/non-enhancing tumor core, were segmented in the multi-parametric MRIs by an in-house DL model for both datasets. The OS prediction model was trained on 90% of the segmented BraTS data and validated on the rest 10%, then further evaluated on the institutional data. The model performance was assessed by prediction accuracy (ACC) and the area under the curve (AUC). RESULTS For this 3-class OS classification task, our DL-based prediction model achieved an ACC of 65.22% and an AUC of 0.81 on the BraTS dataset compared with the top-ranked result from the BraTS challenge 2020 (Rank 1st: ACC 61.7%), and an ACC of 52.63% and an AUC of 0.69 on the institutional dataset. Further analysis of the institutional dataset found that the predicted OS class had a statistically significant correlation with treatment volume (p = 0.012) and age (p = 0.006), which matches the analysis that the patients' ground truth OS class is statistical significantly correlated with treatment volume (p = 0.045). CONCLUSION Our DL-based OS prediction model for GBM using basic structural multi-parametric pre-operative MRIs has demonstrated promising performance in both public and institutional dataset with minimal manual processing requirements. This OS prediction model can be potentially applied to assist timely clinical decision-making.
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Affiliation(s)
- Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - A Zamarud
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - N Marianayagam
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - D Park
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - U Yener
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - S G Soltys
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S D Chang
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - A Meola
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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20
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Montalvo SK, Ravella R, Zhang-Velten ER, Li X, Desai NB, Dan T, Timmerman RD, Jiang SB, Gu X, Parsons DDM, Kumar KA. Cardiac Sparing with Volumetric Modulated Arc Therapy Enabled Total Body Irradiation (CS VMAT-TBI). Int J Radiat Oncol Biol Phys 2023; 117:e477-e478. [PMID: 37785513 DOI: 10.1016/j.ijrobp.2023.06.1693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Volumetric modulated arc therapy (VMAT) enabled total body irradiation (TBI) has replaced conventional TBI in our institution given the improved treatment accuracy, patient comfort, and dose modulation ability. The risk of cardiovascular disease is several folds higher among transplant patients who receive TBI, likely related to dose to the heart. We hypothesize that a cardiac-sparing (CS) VMAT-TBI technique is feasible and can meaningfully reduce dose to the heart while still adequately covering nearby lymphatic tissue. MATERIALS/METHODS VMAT-TBI is delivered via multi-isocentric external beams in a frame-based setup. Heart is contoured as per published guidelines. A lymph node contour, which includes tonsils, neck nodal stations, mediastinal, abdominal, retroperitoneal, and pelvic nodes is created. Coverage of the lymph node contour is prioritized over organ-sparing during inverse optimization; with a goal of V90% greater than 99.5% and mean dose less than 800 cGy for the lymph nodes and heart, respectively. An IRB-approved retrospective review was performed with mean heart dose collected for all patients treated with CS VMAT-TBI and compared to a representative cohort of five patients treated with VMAT-TBI without cardiac sparing. RESULTS Thirty-one patients were treated with CS VMAT-TBI between 2020-2022 with a median follow up time of 11.5 months. Mean heart dose was 796 ± 71 cGy in the CS VMAT-TBI compared to 1247 ± 29 cGy in the VMAT-TBI group without cardiac sparing (p < 0.001). Of those treated with CS VMAT-TBI, three patients relapsed; one relapse occurred in bone marrow only, one relapse occurred in bone marrow and cervical, thoracic, and intra-abdominal lymphoid tissues, and one patient was simulated but never received induction therapy due to overt progression. 100-day relapse-free survival and overall survival were 82.5% and 86.2%, respectively. Median survival time has not been met. CONCLUSION Cardiac sparing is feasible in VMAT-TBI and is associated with significant decrease in mean heart dose of ∼450 cGy. This is estimated to confer a 33.3% decreased absolute risk for lifetime major coronary events compared to patients treated with VMAT-TBI without cardiac sparing. Although limited by short follow-up time, there does not appear to be a significant risk for early relapse despite de-escalating cardiac tissue, likely due to prioritizing coverage of lymph nodes. Prospective clinical studies are needed to further validate cardiac and other organ at risk sparing VMAT-TBI techniques.
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Affiliation(s)
- S K Montalvo
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Ravella
- UT Southwestern Medical Center, Dallas, TX
| | - E R Zhang-Velten
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Li
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - N B Desai
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - T Dan
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S B Jiang
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - K A Kumar
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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21
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Jiang H, Fu J, Melemenidis S, Viswanathan V, Dutt S, Lau B, Soto LA, Manjappa R, Skinner L, Yu SJ, Surucu M, Graves EE, Casey K, Rankin E, Lu W, Loo BW, Gu X. An Online AI-Powered Interactive Histological Image Annotation Platform for Analyzing Intestinal Regenerating Crypts in Post-Irradiated Mice. Int J Radiat Oncol Biol Phys 2023; 117:e676. [PMID: 37785993 DOI: 10.1016/j.ijrobp.2023.06.2130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) The goal of this project is to build an online AI-powered interactive annotation platform to accurately and efficiently annotate intestinal regenerating crypts in histological images of mice after abdominal irradiation. MATERIALS/METHODS The proposed platform is developed by the seamless integration of a front-end web client and a back-end server. Such client/server design allows the users to access the platform without software installation on local computers. Our front-end client is developed with SvelteJS + WebGL technology stack, allowing access from any common web browsers and enabling user interaction, such as image importing/visualization, interactive crypt annotating, and annotation saving/deleting. The back-end server is responsible for executing the tasks requested from the web client, for instance, image pre-processing, AI-based crypts automatic identification, and database management. The image preprocessing is designed to extract a single cross section image using morphological operations because multiple hematoxylin and eosin (H&E) stained jejunum cross sections from post-irradiated mice are scanned within one slide. The auto-crypt identification is powered by a trained and validated AI engine U-Net, classifying image grid tiles into two groups with and without regenerating crypts. The database is implemented with the self-contained SQLite to support recording and indexing the annotated grid tiles with regenerating crypts. The workflow for crypt analysis on this interactive platform has 5 steps: 1) manually import a whole H&E slide image; 2) auto-preprocess the slide by extracting single cross-section images; 3) auto-identify regenerating crypts with an AI engine; 4) interactively annotate (add, delete, modify) auto-identified crypt markers; 5) save and/or output the annotation to the database or the local drive. RESULTS The performance of the developed interactive crypt analysis platform was evaluated in aspects of accuracy and efficiency. The AI-powered crypt auto-identification accuracy was assessed by computing the mean absolute error (MAE) on crypt number per cross section between manual and auto annotation using a testing dataset containing 80 cross sections. It achieved an MAE of 3.5±4.8 crypts per cross section, and 81.25% of the cross sections have no more than 5 crypts difference. The efficiency was assessed under two conditions with the server on the cloud and a local computer. It took about 2-3 minutes to finish the entire workflow on the cloud, while 1-2 minutes on the local by saving ∼1 minute on image uploading. CONCLUSION The developed web client/server platform enables online automatic identification and interactive annotation of mice crypts in minutes. It is a convenient tool that allows accurate and efficient crypt analysis and can be extended for other histologic image analyses.
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Affiliation(s)
| | - J Fu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Melemenidis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - V Viswanathan
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Dutt
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Lau
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L A Soto
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - R Manjappa
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S J Yu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - E E Graves
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - K Casey
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA
| | - E Rankin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - B W Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Cai S, Xie L, Li M, Gu X, Tian Y. Green Tea Derivative (-)-Epigallocatechin-3-Gallate (EGCG) for Prevention of Acute Radiation-Induced Intestinal Injury: A Prospective Phase II Clinical Study in Pelvic Cancer Patients. Int J Radiat Oncol Biol Phys 2023; 117:e505. [PMID: 37785584 DOI: 10.1016/j.ijrobp.2023.06.1755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiation-induced intestinal injury (RIII) remains the most common dose-limiting toxicity following radiotherapy (RT) for pelvic malignancies. However, few efficient and safe methods for the prevention of RIII are available in the clinical practice. Our previous study proved that the green tea polyphenol (-)-epigallocatechin-3-gallate (EGCG) efficiently attenuates radiation-induced intestinal injury (RIII) in animal level. Therefore, this prospective phase II clinical study (ChiCTR2100053703) evaluated the efficacy of EGCG in the prevention of RIII. MATERIALS/METHODS Cervical or endometrial cancer patients who received adjuvant or radical RT in our department were enrolled, 400mg EGCG was taken daily, and RIII was evaluated weekly according to the RTOG criteria. RESULTS Between February 2022 to January 2023, 37 patients were enrolled (30 were cervical cancer and the other 7 were endometrial cancer), and were followed-up regularly. Among them, the majority patients (75.7%, 28 patients) developed grade 0 or 1 RIII, for which no medical intervention was required. Meanwhile, the occurrence of grade 2 RIII was 24.3% (9 patients), which was significantly lower than that in the historical controls (usually 60% to 80%). Besides that, no patients developed grade 3 or worse RIII. CONCLUSION In this phase II clinical trial, compared to historical controls, the prophylactic use of EGCG significantly reduced the incidence and severity of RIII in patients receiving pelvic RT. Therefore, EGCG has the potential to become a novel medical countermeasure for the prevention of RIII for pelvic cancer patients.
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Affiliation(s)
- S Cai
- Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - L Xie
- Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - M Li
- Soochow University, Suzhou, China
| | - X Gu
- The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Y Tian
- Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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23
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Rahimi AS, Kim N, Leitch M, Gu X, Parsons DDM, Nwachukwu CR, Alluri PG, Lu W, Nichols EM, Becker SJ, Ahn C, Zhang Y, Spangler A, Farr D, Wooldridge R, Bahrami S, Stojadinovic S, Lieberman M, Neufeld S, Timmerman RD. Multi-Institutional Phase II Trial Using Dose Escalated Five Fraction Stereotactic Partial Breast Irradiation (S-PBI) with GammaPod TM for Early-Stage Breast Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e203. [PMID: 37784857 DOI: 10.1016/j.ijrobp.2023.06.1082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) We report on our early experience of a multi-institutional phase II study of dose escalated five fraction stereotactic partial breast irradiation (S-PBI) for early-stage breast cancer after partial mastectomy using the GammaPodTM stereotactic radiation system. MATERIALS/METHODS Patient eligibility included DCIS or invasive epithelial histologies, AJCC clinical stage 0, I, or II with tumor size < 3 cm, and negative margins. Prior safety of Phase I dose escalation has been reported. Dose was 40 Gy delivered in 5 fractions to the CTV, and minimum dose 30 Gy in 5 fractions to the PTV. CTV margin was 1 cm and PTV margin 3 mm. For PTV cavities larger than 100cc, dose was reduced to 35Gy in 5 fractions to the CTV and 30 Gy in 5 fractions to the PTV. Primary endpoint of the study is to determine the 3-year patient global cosmesis score (4-point scale excellent, good, fair, or poor) and adverse cosmesis using a dose escalated approach with smaller PTV margins than conventional methods. Both patients and physicians completed baseline and subsequent cosmesis outcome questionnaires. Treatment related toxicity was graded using the NCI version 4.0 and RTOG/EORTC late radiation scale. RESULTS From 3/2019-10/2021, 74 patients were treated respectively. Of these, 38 were treated to 40Gy and 36 were treated to 35 Gy. Median follow up (f/u) was 24 months (mo), range (r) 3-39mo. Median age was 63 years (r 43-77). Histology included 28 DCIS, and 46 invasive carcinomas. 45/46 invasive tumors were ER+. 60/74 (81%) patients received endocrine therapy, and 7/74 patient received chemotherapy. There were 221 acute grade 1 toxicities, and 28 Grade 2 toxicities. No grade 3 or higher acute toxicities were reported (< 90 days). The most common Grade 2 toxicities were radiation dermatitis (10), breast pain (8), blister (4), skin infection (2), nipple discharge (2), and fatigue (2). In the late period, there were 54 Grade 1 late toxicities, 4 Grade 2 late toxicities, and no Grade 3 or higher late toxicities. Grade 2 toxicities included fibrosis (2), and pain (2). Two patients developed grade 1 asymptomatic nonpalpable fat necrosis both diagnosed at 12 months after radiation treatments. The most common grade 1 late toxicities were breast pain (14), hyperpigmentation (8), fibrosis (10), and fatigue (5). Physicians scored cosmesis excellent or good 70/73 (95.8%), 58/60 (96.7%), 36/36 (100%),17/17(100%) respectively at baseline, 12 months, 24 months, and 36months post SBRT, while patients scored the same periods 62/71 (83.7%), 53/59 (89.8%), 33/36 (91.6%), 17/18 (94.4%). There have been no reports of disease recurrences. CONCLUSION Results at 24-month median follow-up, of our dose escalated stereotactic partial breast 5 fraction regimen, has low acute and late toxicity, while maintaining high proportion of excellent/good cosmetic outcomes. Continued analysis of all cohorts is in progress. CLINICAL TRIALS gov identifier is NCT03581136.
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Affiliation(s)
- A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - N Kim
- Vanderbilt University Department of Radiation Oncology, Nashville, TN
| | - M Leitch
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Stanford University Department of Radiation Oncology, Palo Alto, CA
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - C R Nwachukwu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - E M Nichols
- University of Maryland School of Medicine, Baltimore, MD
| | - S J Becker
- University of Maryland School of Medicine, Baltimore, MD
| | - C Ahn
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Y Zhang
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - A Spangler
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D Farr
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Wooldridge
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Bahrami
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Stojadinovic
- University of Texas Southwestern Medical Center, Dallas, TX
| | - M Lieberman
- University of Texas Southwestern Medical Center, Dallas, TX
| | - S Neufeld
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Fu J, Jiang H, Melemenidis S, Viswanathan V, Dutt S, Lau B, Soto LA, Manjappa R, Skinner L, Yu SJ, Surucu M, Graves EE, Casey K, Rankin E, Lu W, Loo BW, Gu X. Deep Learning-Based Pipeline for Automatic Identification of Intestinal Regenerating Crypts in Mouse Histological Images. Int J Radiat Oncol Biol Phys 2023; 117:S117-S118. [PMID: 37784305 DOI: 10.1016/j.ijrobp.2023.06.451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) A classical approach for evaluating normal tissue radiation response is to count the number of intestinal regenerating crypts in mouse histological images acquired after abdominal radiation. However, manual counting is time-consuming and subject to inter-observer variations. The goal of this study is to build a deep learning-based pipeline for automatically identifying intestinal regenerating crypts to facilitate high-throughput studies. MATERIALS/METHODS Sixty-six healthy C57BL/6 female mice underwent 16 MeV whole abdominal electron irradiation. The small bowel was collected from each mouse 4 days post-irradiation, and 9 jejunal cross-sections from each were processed together in a single slide. The slides were stained with hematoxylin and eosin (H&E) and subsequently scanned (x20), providing one electronic histological image per mouse. Regenerating crypts, consisting of more than 10 basophilic crypt epithelial cells, were manually identified using point annotations in histological images. The pipeline was built to take the input of the image containing 9 cross sections and automatically identify the regenerating crypts on each cross section. It mainly consists of two components, cross section segmentation using intensity thresholding and morphological operations and crypt identification using a UNet. The dataset was randomly split into 46, 10, and 10 slide images for UNet training, validation, and testing. Each slide image was split into grid tiles with a voxel size of 200 × 200, and 40 × 40 square masks were placed with centers at manual point annotations on tiles with regenerating crypts. 5203/5198 tiles (w/wo crypt mask) were extracted to train UNet by minimizing dice loss. The mask probability map generated by the UNet was post-processed to identify the crypt position. Postprocessing hyperparameters were tuned using the validation dataset. The model accuracy was evaluated using the testing dataset by computing the mean absolute error (MAE) of the crypt number averaged across all cross sections. RESULTS The number of regenerating crypts on testing cross sections ranges from 1 to 63. The testing cross-section-wise MAE achieved by the platform is 3.5±4.8 crypts. 81.25% of testing cross sections have absolute number differences less than or equal to 5 crypts. CONCLUSION Our established deep learning-based pipeline can accurately count the number of regenerating crypts in mouse intestinal histological images. We have integrated it into an online platform that enables automatic crypt identification and allows users to interactively modify auto-identified crypt annotations. The acquired annotations from the platform will be used to finetune the deep learning model to achieve better identification performance.
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Affiliation(s)
- J Fu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | | | - S Melemenidis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - V Viswanathan
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Dutt
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Lau
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L A Soto
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - R Manjappa
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S J Yu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - E E Graves
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - K Casey
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA
| | - E Rankin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - B W Loo
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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25
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Yang Z, Fu J, Melemenidis S, Viswanathan V, Dutt S, Lau B, Soto LA, Manjappa R, Skinner L, Yu SJ, Surucu M, Casey K, Rankin E, Lu W, Jr BWL, Gu X. Equivalent Dose Estimation in FLASH Irradiation with a Deep Learning Approach. Int J Radiat Oncol Biol Phys 2023; 117:e272. [PMID: 37785029 DOI: 10.1016/j.ijrobp.2023.06.1241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Ultra-high dose rate (FLASH) irradiation has been reported to provide decreased normal tissue toxicity without compromising tumor control compared with conventional (CONV) irradiation. However, a comprehensive understanding of the FLASH biological effect requires precise quantification of radiobiology. The study is to explore whether deep learning (DL) can tackle the task. As a proof of concept, we investigate a DL model for estimating FLASH dose to its equivalent CONV dose. MATERIALS/METHODS Healthy C57Bl/6 female mice underwent FLASH (200Gy/s; n = 43) or CONV (0.12Gy/s; n = 41) whole abdominal irradiation using ∼16 MeV electron beams with a dose escalation scheme of 5 groups (n = 8 or 9) at 1Gy increments: 12-16Gy FLASH, 11-15Gy CONV. 4 days post-irradiation, 9 jejunum cross-sections per mouse were H&E stained for histological analysis. Each cross-section image was processed to remove lumen background and oversampled into multiple large-scale and small-scale patches along jejunal circumference. In CONV dataset, we randomly selected the data of 32 mice (80%) for model training and the rest (20%) for model validation. A ResNet101-based DL model, pre-trained with an unsupervised contrastive learning scheme, was retrained with only CONV training set to estimate corresponding CONV dose. For comparison, a crypt counting (CC) approach was implemented by manually counting the number of regenerating crypts on each cross-section image. An exponential function of dose vs crypt number was fitted with the CONV training set and used for dose estimation on the testing set. Mean squared error (MSE) was used to assess the accuracy of DL and CC approaches in estimating dose levels in CONV irradiation. The validated DL model was applied to the FLASH set to project FLASH dose into corresponding CONV dose that results in equivalent biological response. RESULTS The CONV dose estimated by DL and CC approaches and DL-estimated FLASH equivalent dose were summarized in Table 1. The DL model achieved an MSE of 0.21 Gy2 on CONV testing set compared with 0.32 Gy2 of the CC approach. FLASH equivalent dose estimated by DL model for 12, 13, 14, 15 and 16Gy were 12.16±0.40, 12.53±0.32, 12.72±0.24, 12.85±0.20 and 13.04±0.27 Sv, respectively. CONCLUSION Our proposed DL model can accurately estimate the CONV dose based on histological images. The DL predictions of FLASH dataset demonstrate that FLASH may reduce normal tissue toxicity with a lower equivalent dose, especially at high irradiated dose levels. Our study indicates that deep learning can be potentially used to assess the equivalent dose of FLASH irradiation to normal tissue.
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Affiliation(s)
- Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - J Fu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Melemenidis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - V Viswanathan
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S Dutt
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B Lau
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L A Soto
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - R Manjappa
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Skinner
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - S J Yu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M Surucu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - K Casey
- Department of Comparative Medicine, Stanford University School of Medicine, Stanford, CA
| | - E Rankin
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - W Lu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - B W Loo Jr
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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26
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Kwon YS, Parsons DDM, Kim N, Lu W, Gu X, Stojadinovic S, Alluri PG, Arbab M, Lin MH, Chen L, Gonzalez Y, Chiu TD, Zhang Y, Timmerman RD, Rahimi AS. Assessment of Cardiac Radiation Dose in the Co-60 Prone Based Stereotactic Partial Breast Irradiation (CP-sPBI) Using the Distance from the Heart to the Planning Treatment Volume as a Surrogate Marker. Int J Radiat Oncol Biol Phys 2023; 117:e682. [PMID: 37786008 DOI: 10.1016/j.ijrobp.2023.06.2144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Irradiation of the breast has shown to provide sharp dose gradients using Co-60 prone based stereotactic partial breast irradiation (CP-sPBI), a contemporary device for stereotactic radiotherapy for breast cancer (BC) for accelerated partial breast irradiation (APBI). In addition, the precise setup of CP-sPBI permits a small planning treatment volume (PTV) margin of 3 mm creating a greater distance from PTV to organs at risk. However, to date the factors that influence dose gradients and subsequent cardiac doses of ionizing radiation using CP-sPBI have not been well-studied. Here we evaluate distance of the heart to the lumpectomy PTV cavity and how this effects cardiac dose. MATERIALS/METHODS A retrospective database of 113 consecutive patients treated by CP-sPBI for APBI from March 2019 to February 2023 who were treated with 30 Gy in 5 fractions were queried for analysis. The minimum distance from the heart to the PTV (hP) was measured in either the axial or sagittal view. A group of 28 patient cases were randomly selected to achieve an even distribution of 28 cases with hP < 2.75 cm and hP ≥ 2.75 cm to compare cardiac toxicities based on hP. Descriptive analyses were performed to evaluate various cardiac dosimetric parameters based on laterality of BC and hP, using the student's t test. RESULTS The mean (range) hP was 4.58 cm (0.80-12.23) for all cases. The subgroup analyses of 28 patient cases with cardiac parameters showed the heart mean (range) dose of 1.20 Gy (0.01-2.11). The mean and max heart dose to the left-sided BC were similar to those to the right-sided BC (mean dose: 1.20 vs. 1.19 Gy; P = 0.97 and max dose: 10.47 vs. 5.66 Gy; P = 0.06). An inverse correlation between hP and mean heart dose was shown with the correlation coefficient of -0.81. Using a cutoff of 2.75 cm hP, the differences between hP < 2.75 and hP ≥ 2.75 cm for all cardiac dosimetric evaluations were all statistically significant, including mean (1.67 vs. 0.79 Gy; p<0.01) and maximal heart dose (14.48 vs. 4.11 Gy; p<0.01) CONCLUSION: CP-sPBI treatment delivery system was able to achieve acceptable clinically relevant heart dosimetric parameters when delivering 5 fraction APBI with a mean heart dose of 1.20 Gy for all locations of PTV cavity volume in the breast. Due to CP-sPBIs excellent dose fall-off characteristics, APBI using CP-SPBI showed clinically acceptable cardiac dosimetric parameters, particularly for PTVs located > 2.75 cm from the heart.
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Affiliation(s)
- Y S Kwon
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - D D M Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - N Kim
- Vanderbilt University Department of Radiation Oncology, Nashville, TN
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - X Gu
- Stanford University Department of Radiation Oncology, Palo Alto, CA
| | - S Stojadinovic
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - M Arbab
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - M H Lin
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - L Chen
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Y Gonzalez
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - T D Chiu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - Y Zhang
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Simmons A, Sher DJ, Kim N, Leitch M, Haas JA, Gu X, Ahn C, Gao A, Spangler A, Morgan HE, Farr D, Wooldridge R, Seiler S, Goudreau S, Bahrami S, Neufeld S, Mendez C, Lieberman M, Timmerman RD, Rahimi AS. Financial Toxicity and Patient Experience Outcomes on a Multi-Institutional Phase I Single Fraction Stereotactic Partial Breast Irradiation Protocol for Early-Stage Breast Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e259-e260. [PMID: 37784994 DOI: 10.1016/j.ijrobp.2023.06.1212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Given the demonstrated financial toxicity (FT) of radiation treatment on breast cancer patients shown in both conventional and our recent 5 fraction stereotactic APBI (S-PBI) study, we assessed the FT, as well as patient-reported utility, quality-of-life and patient experience measures, on patients treated in our phase I single fraction S-PBI trial. MATERIALS/METHODS A phase I single fraction dose escalation trial of S-PBI for early-stage breast cancer was conducted. Women with in-situ or stage I-II (AJCC 6) invasive breast cancer following breast conserving surgery were treated with S-PBI in 1 fraction to a total dose of 22.5, 26.5 or 30 Gy (Clinical trials.gov ID NCT02685332). At one month follow-up, patients were asked to complete our novel "Patient Perspective Cost and Convenience of Care Questionnaire". Patients also completed the EQ-5D-5L, including the visual analogue scale of overall health (VAS), at enrollment, 6, 12-, 24-, 36-, and 48-month follow-up. RESULTS Of 29 patients enrolled and treated, questionnaire data was available for all patients. Our trial encompassed a wide range of annual household incomes, education, and employment status. Overall, 44.8% (n = 13/29) of patients reported that radiation treatment presented a financial burden. Interestingly, no demographic information, such as patient race, marital status, education, household income, or employment during treatment predicted perceived FT. Patients reporting FT trended towards younger age (median 64 vs 70.5) and having a cancer related co-pay similar to our 5 fraction S-PBI FT trial; however, due to the small size of this study, this did not reach significance (p = 0.24 and 0.10, respectively). VAS and utility scores were calculated per the EQ-5D-5L and remained unchanged from baseline through 4-year follow-up. Likewise, there was no difference in the utility or VAS between patients who reported FT and those who did not. Interestingly, while patient reported cosmesis was similar for all patients at enrollment, patients who reported FT noted significantly worse cosmesis scores (fair/poor vs good/excellent) at 6 month and 2-year follow-ups (p = 0.01 and 0.04, respectively). Finally, patients were surveyed on treatment related disruption to their daily activities and enjoyment of life. The median values were 0 (scale 0-10, with 0 being no disruption) regardless of perceived FT. Patients were also uniformly satisfied with treatment time with a median score of 10 (scale 0-10, 10 being most satisfied). CONCLUSION Here, we show that despite using SPBI in a single fraction, nearly half of the patients treated still reported FT of treatment. Importantly, single fraction S-PBI has no negative impact on patient VAS or utility scores, and all patients were uniformly satisfied with treatment time without significant disruption to their life.
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Affiliation(s)
- A Simmons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D J Sher
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - N Kim
- Vanderbilt University Department of Radiation Oncology, Nashville, TN
| | - M Leitch
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - J A Haas
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University Langone Hospital - Long Island, Mineola, NY
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - C Ahn
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Gao
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - A Spangler
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - D Farr
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - R Wooldridge
- Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Seiler
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Goudreau
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Bahrami
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - S Neufeld
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - C Mendez
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University Langone Hospital - Long Island, Mineola, NY
| | - M Lieberman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
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Yang Z, Chen M, Kazemimoghadam M, Wardak Z, Chukwuma C, Stojadinovic S, Timmerman RD, Dan T, Lu W, Gu X. Predicting Neurocognitive Decline in Multiple Brain Metastases Patients Undergoing Distributed Stereotactic Radiosurgery. Int J Radiat Oncol Biol Phys 2023; 117:e159. [PMID: 37784751 DOI: 10.1016/j.ijrobp.2023.06.987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Stereotactic radiosurgery (SRS) is the standard of care for treating a limited number (<3) of brain metastasis (BMs), which offers reduced neurotoxicity compared to whole brain radiotherapy (WBRT). Contemporary advancements in SRS made it possible to also commonly treat multiple (>4) BMs (mBMs). Emphasizing the value of preserving quality of life (QoL) after SRS, there is an urgent need for a systematic study of potential neurocognitive decline in patients receiving SRS treatment for mBMs. The purpose of this study is to use routine MRIs to predict neurocognitive decline for patients treated with distributed SRS, allowing for timely and effective treatment strategy design. MATERIALS/METHODS This study uses data from an institutional phase I/II clinical trial to determine the neurocognitive decline in patients with (>6) mBMs treated with distributed SRS. In the first 12 months post-SRS, participants are followed and evaluated with routine MRIs and the Hopkins Verbal Learning Test-Revised (HVLT-R) at 2 to 3-month intervals. Changes in HVLT-Delayed Recall scores between two visits are used to define neurocognitive decline. For each visit, an in-house deep learning model segments 66 cortical and 55 subcortical brain regions of interest (ROIs) from the T1 structural MRI and extracts 253 ROI features, including the surface area and thickness of cortical ROIs, and the volume of all ROIS. The difference in ROI features between two visits, together with other clinical factors (e.g., prescription, number of BMs, etc.), is considered as one sample. The study included 22 subjects with 91 visits, resulting in 171 samples with neurocognitive decline labels. The entire sample set is split into 10 folds on patient level for cross validation. In each fold, feature engineering is conducted to remove redundancy and to select the most-important features. The top 20% most frequently selected features are applied with Support Vector Machine to predict the neurocognitive decline label of each sample. RESULTS As a preliminary result, the proposed method achieves an accuracy of 76%, with an area under the curve (AUC) of 0.75, sensitivity of 0.65 and specificity of 0.83 for predicting neurocognitive decline in mBMs SRS patients using only routine T1 MRIs. The volume of lateral occipital complex, the thickness of inferior parietal lobe and postcentral gyrus, and the surface area of lateral orbitofrontal cortex and pars triangularis are identified as the 5 most important features for this task. CONCLUSION Our method shows promising findings for post-SRS neurocognitive decline prediction solely based on routine baseline and follow-up MRIs. In addition, it can identify critical brain ROIs associated with the post-SRS cognitive function. This method has the potential to assist treatment planning strategy to help preserve patients' QoL.
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Affiliation(s)
- Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - M Chen
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - M Kazemimoghadam
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Wardak
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - C Chukwuma
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - S Stojadinovic
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - R D Timmerman
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - T Dan
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - W Lu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - X Gu
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX; Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Kazemimoghadam M, Yang Z, Chen M, Rahimi AS, Kim DN, Alluri PG, Nwachukwu CR, Lu W, Gu X. A Comprehensive Deep Learning Framework for Automatic Target Volumes Segmentation in Post-Operative Stereotactic Partial Breast Irradiation (S-PBI). Int J Radiat Oncol Biol Phys 2023; 117:e183. [PMID: 37784808 DOI: 10.1016/j.ijrobp.2023.06.1038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) In S-PBI, accurate delineation of post-surgical tumor bed volume (TBV) and clinical target volume (CTV) are crucial tasks to achieve effective radiotherapy outcomes. However, manual contouring is labor intensive, time consuming, and largely relies on the experience of clinicians. We aimed to propose a deep learning (DL) approach which mimics physicians' contouring practice to accurately segment target volumes in post-operative breast CT images. MATERIALS/METHODS Our approach incorporated domain knowledge into a 3D U-Net based DL model for breast target volumes (TBV and CTV) delineation. Our TBV segmentation approach was inspired by the marker-guidance procedure in manual delineation, where the visual clues provided by the markers assist physicians in defining TBV. For this purpose, a distance-transformation coupled with a Gaussian filter was adopted to convert markers' locations on the CT images to saliency maps. Subsequently, the CT images and the corresponding saliency maps formed a two-channel input for the segmentation model. For CTV segmentation, TBV was incorporated as an input in addition to the CT images, guiding the model to encode the location-related image features. The architecture allowed the network to emulate the oncologist's manual delineation where CTV is derived from TBV via a margin expansion, followed by correcting the extensions for anatomical barriers of tumor invasion (e.g., skin, chest wall). We retrospectively collected 175 prone CT images from 35 post-operative breast cancer patients who received 5-fraction partial breast irradiation (PBI) regimen on a Co-60 prone based S-PBI unit. The 35 patients were randomly split into 25, 5, and 5 for model training, validation, and testing respectively. RESULTS We evaluated the performance of the developed DL model on the testing dataset by comparing the predicted volumes with the manually delineated contours (ground truth) using Dice similarity coefficient (DSC), 95th percentile Hausdorff distance (HD95), and average symmetric surface distance (ASD). For TBV segmentation, our model achieved mean (standard deviation) of 0.76 (±2.7), 6.76 (±1.83) mm, and 1.9 (±0.66) mm for DSC, HD95, and ASD respectively. For CTV segmentation, our model achieved 0.94 (±0.02), 2.46 (±0.5) mm, and 0.53 (±0.14) mm for DSC, HD95, and ASD respectively. The proposed auto-segmentation approach generated TBV and CTV masks in ∼11 seconds per CT volume, implying significantly improved efficiency compared to manual contouring. CONCLUSION We developed a comprehensive DL framework mimicking clinical contouring practice for auto-segmentation of target volumes in S-PBI. The results demonstrated high levels of agreement between the predicted contours and physicians' manual contours. The approach is promising for improving the efficiency and accuracy of the on-line treatment planning workflow, such as adaptive based S-PBI.
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Affiliation(s)
- M Kazemimoghadam
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - Z Yang
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - M Chen
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - A S Rahimi
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - D N Kim
- Department of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, TX
| | - P G Alluri
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - C R Nwachukwu
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX
| | - W Lu
- University of Texas Southwestern Department of Radiation Oncology, Dallas, TX
| | - X Gu
- Stanford University Department of Radiation Oncology, Palo Alto, CA
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Wang JY, Chen Y, Pham D, Lewis J, Beadle BM, Gensheimer MF, Le QT, Gu X, Xing L. Prospective Clinical Adoption of Artificial Intelligence for Organ Contouring in Head and Neck Radiation Treatment Planning. Int J Radiat Oncol Biol Phys 2023; 117:e490-e491. [PMID: 37785549 DOI: 10.1016/j.ijrobp.2023.06.1721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Patients that undergo head and neck (H&N) radiation therapy (RT) require laborious delineation of organs-at-risk (OARs) on computed tomography (CT) scans in a treatment planning system (TPS) to minimize radiation to normal tissue. This task can be completed rapidly and accurately with recently developed artificial intelligence-based semantic segmentation models. The current study aims to deploy and evaluate a strategy for improving clinical practice with this technology. MATERIALS/METHODS Deep learning models were trained and tested with CT scans and OAR contours from previous H&N RT cases at our clinic. Two medical physicists vetted the models and selected a 2.5D U-Net for further implementation. The model was embedded in a dedicated server at the hospital, programmed to read H&N CT scans staged for import into the TPS, generate auto-contours, and write them into a TPS-compatible format made available alongside the scan. In the pilot implementation, the auto-contouring service was utilized for more than 60 cases, prospectively. The auto-contours were quantitatively evaluated against the treatment-approved contours to determine how much modification was performed by the clinical team. RESULTS The 2.5D U-Net selected for clinical integration segments 21 OARs in less than 3 minutes per scan. Across all the prospective cases, the mean Dice score and mean 95th percentile Hausdorff distance (mm) between the auto-contour and treatment-approved contour for each of the 21 OARs were as follows, respectively: brainstem (0.93, 1.94), optic chiasm (0.70, 2.96), left cochlea (0.69, 2.37), right cochlea (0.68, 2.44), esophagus (0.88, 2.46), left globe (0.93, 1.50), right globe (0.93, 1.63), glottis (0.91, 2.13), larynx (0.93, 2.76), mandible (0.90, 4.86), left optic nerve (0.78, 1.64), right optic nerve (0.82, 1.65), oral cavity (0.86, 8.46), left parotid gland (0.91, 2.78), right parotid gland (0.91, 2.39), pharynx (0.85, 2.39), spinal cord (0.87, 2.27), left submandibular gland (0.85, 3.46), right submandibular gland (0.83, 3.69), left temporal lobe (0.94, 2.20), and right temporal lobe (0.95, 2.09). The auto-contours for the optic chiasm, optic nerves, cochleas, and submandibular glands differed substantially from the final contours, a finding corroborated by the clinical team; the rest were clinically acceptable with minor or no edits necessary. CONCLUSION The proposed strategy provides a sophisticated starting point for treatment planning that has garnered overall favorable feedback from the participating radiation oncologists and dosimetrists. Consequently, the technique is being extended to other treatment sites.
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Affiliation(s)
- J Y Wang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Y Chen
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - D Pham
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - J Lewis
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - B M Beadle
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - M F Gensheimer
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - Q T Le
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - X Gu
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
| | - L Xing
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA
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Liu Y, Hu Y, Xue J, Li J, Yi J, Bu J, Zhang Z, Qiu P, Gu X. Correction: Advances in immunotherapy for triple-negative breast cancer. Mol Cancer 2023; 22:154. [PMID: 37710293 PMCID: PMC10500861 DOI: 10.1186/s12943-023-01858-z] [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: 09/16/2023] Open
Affiliation(s)
- Yang Liu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Yueting Hu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jinqi Xue
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jingying Li
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jiang Yi
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jiawen Bu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Zhenyong Zhang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China.
| | - Peng Qiu
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China.
| | - Xi Gu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China.
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Li Y, Lv M, Shen M, Gu X, Zhang L, Liu X, Chen J, Gong L, Zuo Z. Identification of 3H-benzo[b] [1,4] diazepine derivatives as PPARα agonists by in silico studies and biochemical evaluation. J Biomol Struct Dyn 2023:1-16. [PMID: 37702197 DOI: 10.1080/07391102.2023.2256867] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the world, whose pathologic features include dysregulated glucose homeostasis and lipid accumulation. Peroxisome proliferators-activated receptor α (PPARα) is a key regulator of fatty acid metabolism and ketogenesis due to its regulatory pathways involve activating fatty acid uptake, accelerating fatty acid oxidation, inhibiting gluconeogenesis, and suppressing inflammation and fibrosis. Therefore, PPARα is considered as a potential target for the treatment of NAFLD and some agonists have entered clinical trials, which drove us to discover more novel PPARα agonists. In current work, new 3H-benzo[b] [1,4] diazepine PPARα agonists were identified from the ChemDiv database by pharmacophore modeling, molecular docking, derivative structure search, and bioassays, where compound LY-2 and its derivatives (LY-10∼LY-19) were discovered to promote the expression of PPARα downstream gene, carnitine palmitoyl transterase-1 α (cpt1α). Among these active compounds, the EC50 value of LY-2 against increasing cpt1α was 2.169 μΜ. Furthermore, the effect of LY-2 on cpt1α was weakened when PPARα knock down, which confirmed that it is a PPARα agonist again. Finally, the results from molecular dynamics simulations and binding free energy calculations showed that π-π stacking and hydrogen bonding interactions played key roles in the binding of LY-2 and PPARα protein and their complex maintained a stable structure to facilitate LY-2 to have a better binding affinity with PPARα protein. Taken together, compound LY-2 might be a novel lead compound for the development of potent PPARα agonists.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Yue Li
- School of Chemical Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan, China
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Mengjia Lv
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Meiling Shen
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xi Gu
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Li Zhang
- School of Chemical Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan, China
| | - Xingyong Liu
- School of Chemical Engineering, Sichuan University of Science & Engineering, Zigong, Sichuan, China
| | - Jing Chen
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Likun Gong
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Zhili Zuo
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, China
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Shen L, Xing BL, Gu X, Zhang YY, Zhang X. [Primary salivary gland-type duct carcinoma of lung: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:958-960. [PMID: 37670632 DOI: 10.3760/cma.j.cn112151-20230106-00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Affiliation(s)
- L Shen
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - B L Xing
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - X Gu
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - Y Y Zhang
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
| | - X Zhang
- Department of Pathology, Shanghai Zhoupu Hospital Affiliated Health Medical College, Shanghai 201318, China
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Liu Y, Hu Y, Xue J, Li J, Yi J, Bu J, Zhang Z, Qiu P, Gu X. Advances in immunotherapy for triple-negative breast cancer. Mol Cancer 2023; 22:145. [PMID: 37660039 PMCID: PMC10474743 DOI: 10.1186/s12943-023-01850-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 08/26/2023] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND Immunotherapy has recently emerged as a treatment strategy which stimulates the human immune system to kill tumor cells. Tumor immunotherapy is based on immune editing, which enhances the antigenicity of tumor cells and increases the tumoricidal effect of immune cells. It also suppresses immunosuppressive molecules, activates or restores immune system function, enhances anti-tumor immune responses, and inhibits the growth f tumor cell. This offers the possibility of reducing mortality in triple-negative breast cancer (TNBC). MAIN BODY Immunotherapy approaches for TNBC have been diversified in recent years, with breakthroughs in the treatment of this entity. Research on immune checkpoint inhibitors (ICIs) has made it possible to identify different molecular subtypes and formulate individualized immunotherapy schedules. This review highlights the unique tumor microenvironment of TNBC and integrates and analyzes the advances in ICI therapy. It also discusses strategies for the combination of ICIs with chemotherapy, radiation therapy, targeted therapy, and emerging treatment methods such as nanotechnology, ribonucleic acid vaccines, and gene therapy. Currently, numerous ongoing or completed clinical trials are exploring the utilization of immunotherapy in conjunction with existing treatment modalities for TNBC. The objective of these investigations is to assess the effectiveness of various combined immunotherapy approaches and determine the most effective treatment regimens for patients with TNBC. CONCLUSION This review provides insights into the approaches used to overcome drug resistance in immunotherapy, and explores the directions of immunotherapy development in the treatment of TNBC.
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Affiliation(s)
- Yang Liu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Yueting Hu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jinqi Xue
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jingying Li
- Department of Health Management, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jiang Yi
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Jiawen Bu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China
| | - Zhenyong Zhang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China.
| | - Peng Qiu
- Department of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China.
| | - Xi Gu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, Liaoning Province, China.
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Geng ZY, Chen NX, You W, Liu K, Gu X, Wei J, Ma L, Zhang XX. [Efficacy of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:773-780. [PMID: 37599238 DOI: 10.3760/cma.j.cn115330-20221108-00670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Objective: To analyze the treatment effects and side effects of non-surgical comprehensive treatment for locally advanced hypopharyngeal carcinoma invading cervical esophagus. Methods: A retrospective analysis was performed on sixty-six patients with locally advanced hypopharyngeal carcinoma invade the esophagus. These patients were treated in the Department of Otolaryngology, Head and Neck Surgery of Chinese People's Liberation Army General Hospital between January 2011 and May 2022, including sixty-five males and one female, aged 43-71 years. Treatment regimen consisted of induction chemotherapy and concurrent chemoradiothrapy and epidermal growth factor receptor (EGFR)-targeted therapy, three of these cases were treated with programmed cell death 1 (PD-1) immunotherapy. The Kaplan-Meier method was used for survival analysis. Side effects were evaluated with the established CTCAE (Common Terminology Criteria for Adverse Events) 5.0 criteria. The factors affecting prognosis were analyzed by Cox multivariate regression analysis. Results: Sixty-four (97.0%, 64/66) patients completed the radiotherapy and chemotherapy plan. The most common grade three side effects were radioactive oropharyngeal mucositis (89.1%, 57/64) and leukopenia (23.4%, 15/64). Five (7.8%, 5/64) patients showed grade three hoarseness; two patients (3.1%, 2/64) suffered from grade three swallowing dysfunction and required feeding tube and intravenous nutrition; the remaining patients(89.1%) retained good vocal and swallowing functions. The overall survival (OS) of all patients was 81.5% after one year, 54.0% after three years, and 39.9% after five years; the progression-free survival (PFS) was 78.3% after one year, 54.9% after three years, and 42.6% after five years; local control rate (LCR) was 80.9% after one year, 62.5% after three years, and 52.0% after five years. T4a patients showed better OS, PFS and LCR than T4b patients, with statistically significant differences (χ2=8.10, 8.27, and 6.64, respectively, all P<0.05). Cox multivariate regression analysis showed that lymph node metastasis was an independent factor affecting prognosis (χ2=10.21, P<0.05). Conclusion: Non-surgical comprehensive treatment can provide with another option of radical treatment for locally advanced hypopharyngeal carcinoma with cervical esophagus invasion, offering the patients higher rate of larynx and esophageal preservation with tolerable side effects.
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Affiliation(s)
- Z Y Geng
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - N X Chen
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - W You
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - K Liu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - X Gu
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - J Wei
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
| | - L Ma
- Department of Radiology, the First Medical Center, Chinese People's Liberation Army General Hospital, Beijing 100853, China
| | - X X Zhang
- College of Otolaryngology Head and Neck Surgery, Chinese People's Liberation Army General Hospital, National Clinical Research Center for Otolaryngologic Diseases, Beijing 100853, China
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Wang C, Zhang X, Yu J, Bu J, Gu X, Wang Y, Zhu X, Lin J. Spotlights on extracellular vesicles in hepatocellular carcinoma diagnosis and treatment: an update review. Front Bioeng Biotechnol 2023; 11:1215518. [PMID: 37456728 PMCID: PMC10338921 DOI: 10.3389/fbioe.2023.1215518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 06/22/2023] [Indexed: 07/18/2023] Open
Abstract
Hepatocellular carcinoma (HCC), one of the most prevalent cancers, with a high mortality rate worldwide, seriously impairs patient health. The lack of accurate targets impedes the early screening and diagnosis of HCC and is associated with a poor response to routine therapies. Extracellular vesicles (EVs), comprising exosomes, microvesicles, and apoptotic bodies, are lipid bilayer membrane-derived nanometer-sized vesicles. EVs can be secreted from various cancer cells and release diverse biomolecules, such as DNA, RNA, proteins, metabolites, and lipids, making them a potential source of biomarkers and regulators of the tumor microenvironment. Emerging evidence suggests that EVs are involved in intercellular communication by carrying biological information. These EVs elicit physiological functions and are involved in the oncogenesis of HCC, such as proliferation, invasion, metastasis, and chemoresistance of HCC. EVs have also been considered promising biomarkers and nanotherapeutic targets for HCC. Therefore, this review sheds light on the current understanding of the interactions between EVs and HCC to propose potential biomarkers and nanotherapeutic strategies.
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Affiliation(s)
- Caizheng Wang
- Department of General Surgery, Huangyan Hospital, Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Xiaoying Zhang
- Department of General Surgery, Huangyan Hospital, Wenzhou Medical University, Taizhou, Zhejiang, China
| | - Jiahui Yu
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Jiawen Bu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xi Gu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yue Wang
- Department of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China
| | - Xudong Zhu
- Department of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China
| | - Jie Lin
- Department of General Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China
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Jiang Y, Yu J, Zhu T, Bu J, Hu Y, Liu Y, Zhu X, Gu X. Involvement of FAM83 Family Proteins in the Development of Solid Tumors: An Update Review. J Cancer 2023; 14:1888-1903. [PMID: 37476189 PMCID: PMC10355199 DOI: 10.7150/jca.83420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/16/2023] [Indexed: 07/22/2023] Open
Abstract
FAM83 family members are a group of proteins that have been implicated in various solid tumors. In this updated review, we mainly focus on the cellular localization, molecular composition, and biological function of FAM83 family proteins in solid tumors. We discussed the factors that regulate abnormal protein expression and alterations in the functional activities of solid tumor cells (including non-coding microRNAs and protein modifiers) and potential mechanisms of tumorigenesis (including the MAPK, WNT, and TGF-β signaling pathways). Further, we highlighted the application of FAM83 family proteins in the diagnoses and treatment of different cancers, such as breast, lung, liver, and ovarian cancers from two aspects: molecular marker diagnosis and tumor drug resistance. We described the overexpression of FAM83 genes in various human malignant tumor cells and its relationship with tumor proliferation, migration, invasion, transformation, and drug resistance. Moreover, we explored the prospects and challenges of using tumor treatments based on the FAM83 proteins. Overall, we provide a theoretical basis for harnessing FAM83 family proteins as novel targets in cancer treatment. We believe that this review opens up open new directions for solid tumor treatment in clinical practice.
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Affiliation(s)
- Yi Jiang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004 Liaoning province, P.R. China
| | - Jiahui Yu
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, P.R. China
| | - Tong Zhu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004 Liaoning province, P.R. China
| | - Jiawen Bu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004 Liaoning province, P.R. China
| | - Yueting Hu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004 Liaoning province, P.R. China
| | - Yang Liu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004 Liaoning province, P.R. China
| | - Xudong Zhu
- Department of General Surgery, Cancer Hospital of China Medical University, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning 110042, P.R. China
| | - Xi Gu
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004 Liaoning province, P.R. China
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Gu X, Tang D, Xuan Y, Shen Y, Lu LQ. Association between obstructive sleep apnea symptoms and gout in US population, a cross-sectional study. Sci Rep 2023; 13:10192. [PMID: 37353548 PMCID: PMC10290056 DOI: 10.1038/s41598-023-36755-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 06/09/2023] [Indexed: 06/25/2023] Open
Abstract
The results of association between Obstructive Sleep Apnea (OSA) and gout are not consistent. Participants aged 20 years or older in the National Health and Nutrition Examination Survey (NHANES) 2007-2008 and 2015-2018 were included. Weighted univariable and multivariable logistic regressions were used to evaluate the association between OSA symptoms and gout. The subgroup and sensitivity analyses were also performed. Among the 15,947 participants in this study, the mean age was 47.8 years old, 48.87% of whom were male, 4891 had OSA symptoms, and 842 had gout. In multivariable logistic regression analyses, OSA symptoms were positively associated with gout in all models. The odds ratio (OR) was 1.315 and 95% confidence interval (CI) was 1.070-1.616 in fully adjusted model 4. In the subgroup analyses, we found a considerable interaction between OSA symptoms and gender with gout (P for interaction = 0.003). In the sensitivity analyses, the association between OSA symptoms and gout remained stable after adjustment for congestive heart failure and diuretics using. OSA symptoms were associated with an increased likelihood of gout. This association could especially be found in female participants.
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Affiliation(s)
- Xi Gu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No.149 Chongqing South Road, Shanghai, China
| | - Dou Tang
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No.149 Chongqing South Road, Shanghai, China
| | - Yan Xuan
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No.149 Chongqing South Road, Shanghai, China
| | - Ying Shen
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No.149 Chongqing South Road, Shanghai, China.
| | - Lei Qun Lu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No.149 Chongqing South Road, Shanghai, China.
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Zhou JS, Xu RZ, Yu XQ, Cheng FJ, Zhao WX, Du X, Wang SZ, Zhang QQ, Gu X, He SM, Li YD, Ren MQ, Ma XC, Xue QK, Chen YL, Song CL, Yang LX. Evidence for Band Renormalizations in Strong-Coupling Superconducting Alkali-Fulleride Films. Phys Rev Lett 2023; 130:216004. [PMID: 37295091 DOI: 10.1103/physrevlett.130.216004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 02/06/2023] [Accepted: 04/17/2023] [Indexed: 06/12/2023]
Abstract
There has been a long-standing debate about the mechanism of the unusual superconductivity in alkali-intercalated fullerides. In this Letter, using high-resolution angle-resolved photoemission spectroscopy, we systematically investigate the electronic structures of superconducting K_{3}C_{60} thin films. We observe a dispersive energy band crossing the Fermi level with the occupied bandwidth of about 130 meV. The measured band structure shows prominent quasiparticle kinks and a replica band involving the Jahn-Teller active phonon modes, which reflects strong electron-phonon coupling in the system. The electron-phonon coupling constant is estimated to be about 1.2, which dominates the quasiparticle mass renormalization. Moreover, we observe an isotropic nodeless superconducting gap beyond the mean-field estimation (2Δ/k_{B}T_{c}≈5). Both the large electron-phonon coupling constant and large reduced superconducting gap suggest a strong-coupling superconductivity in K_{3}C_{60}, while the electronic correlation effect is suggested by the observation of a waterfall-like band dispersion and the small bandwidth compared with the effective Coulomb interaction. Our results not only directly visualize the crucial band structure but also provide important insights into the mechanism of the unusual superconductivity of fulleride compounds.
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Affiliation(s)
- J S Zhou
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - R Z Xu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X Q Yu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - F J Cheng
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - W X Zhao
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X Du
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - S Z Wang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - Q Q Zhang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X Gu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - S M He
- Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom
| | - Y D Li
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - M Q Ren
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - X C Ma
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
- Collaborative Innovation Center of Quantum Matter, Beijing 100084, China
| | - Q K Xue
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
| | - Y L Chen
- Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, United Kingdom
- School of Physical Science and Technology, ShanghaiTech University and CAS-Shanghai Science Research Center, Shanghai 201210, China
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - C L Song
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
- Collaborative Innovation Center of Quantum Matter, Beijing 100084, China
| | - L X Yang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
- Frontier Science Center for Quantum Information, Beijing 100084, China
- Collaborative Innovation Center of Quantum Matter, Beijing 100084, China
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Wang J, Jia C, Gao Q, Zhang J, Gu X. iASPP regulates neurite development by interacting with Spectrin proteins. Front Mol Neurosci 2023; 16:1154770. [PMID: 37284462 PMCID: PMC10240065 DOI: 10.3389/fnmol.2023.1154770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 04/24/2023] [Indexed: 06/08/2023] Open
Abstract
Introduction Since its discovery in 1999, a substantial body of research has shown that iASPP is highly expressed in various kinds of tumors, interacts with p53, and promotes cancer cell survival by antagonizing the apoptotic activity of p53. However, its role in neurodevelopment is still unknown. Methods We studied the role of iASPP in neuronal differentiation through different neuronal differentiation cellular models, combined with immunohistochemistry, RNA interference and gene overexpression, and studied the molecular mechanism involved in the regulation of neuronal development by iASPP through coimmunoprecipitation coupled with mass spectrometry (CoIP-MS) and coimmunoprecipitation (CoIP). Results In this study, we found that the expression of iASPP gradually decreased during neuronal development. iASPP silencing promotes neuronal differentiation, while its overexpression inhibited neurite differentiation in a variety of neuronal differentiation cellular models. iASPP associated with the cytoskeleton-related protein Sptan1 and dephosphorylated the serine residues in the last spectrin repeat domain of Sptan1 by recruiting PP1. The non-phosphorylated and phosphomimetic mutant form of Sptbn1 inhibited and promoted neuronal cell development respectively. Conclusion Overall, we demonstrate that iASPP suppressed neurite development by inhibiting phosphorylation of Sptbn1.
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Affiliation(s)
- Junhao Wang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
| | - Chunhong Jia
- Department of Neonatology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiong Gao
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
| | - Jiwen Zhang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
| | - Xi Gu
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
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Gu X, Jia C, Wang J. Advances in Understanding the Molecular Mechanisms of Neuronal Polarity. Mol Neurobiol 2023; 60:2851-2870. [PMID: 36738353 DOI: 10.1007/s12035-023-03242-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 01/22/2023] [Indexed: 02/05/2023]
Abstract
The establishment and maintenance of neuronal polarity are important for neural development and function. Abnormal neuronal polarity establishment commonly leads to a variety of neurodevelopmental disorders. Over the past three decades, with the continuous development and improvement of biological research methods and techniques, we have made tremendous progress in the understanding of the molecular mechanisms of neuronal polarity establishment. The activity of positive and negative feedback signals and actin waves are both essential in this process. They drive the directional transport and aggregation of key molecules of neuronal polarity, promote the spatiotemporal regulation of ordered and coordinated interactions of actin filaments and microtubules, stimulate the specialization and growth of axons, and inhibit the formation of multiple axons. In this review, we focus on recent advances in these areas, in particular the important findings about neuronal polarity in two classical models, in vitro primary hippocampal/cortical neurons and in vivo cortical pyramidal neurons, and discuss our current understanding of neuronal polarity..
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Affiliation(s)
- Xi Gu
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China.
| | - Chunhong Jia
- Department of Pediatrics, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Junhao Wang
- Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, China
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Wang Q, Li Y, Gu X, Zhang N, Xie J, Niu B, Xing Y, He Y. Imaging diagnosis of intravenous leiomyomatosis: an institutional experience. Clin Radiol 2023:S0009-9260(23)00138-1. [PMID: 37365113 DOI: 10.1016/j.crad.2023.03.017] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 03/14/2023] [Accepted: 03/28/2023] [Indexed: 06/28/2023]
Abstract
AIM To review and summarise the clinical and imaging characteristics of intravenous leiomyomatosis (IVL), a rare smooth muscle tumour originating from the uterus. MATERIALS AND METHODS Twenty-seven patients with a histopathological diagnosis of IVL who underwent surgery were reviewed retrospectively. All patients underwent pelvic ultrasonography, inferior vena cava (IVC) ultrasonography, and echocardiography before surgery. Computed tomography (CT) with contrast enhancement was performed in patients with extrapelvic IVL. Some patients underwent pelvic magnetic resonance imaging (MRI). RESULTS Mean age was 44.81 years. Clinical symptoms were non-specific. IVL was intrapelvic in seven patients and extrapelvic in 20. Preoperative pelvic ultrasonography missed the diagnosis in 85.7% of patients with intrapelvic IVL. Pelvic MRI was useful to evaluate the parauterine vessels. Incidence of cardiac involvement was 59.26%. Echocardiography showed a highly mobile sessile mass in the right atrium with moderate-to-low echogenicity that originates from the IVC. Ninety per cent of extrapelvic lesions showed unilateral growth. The most common growth pattern was via the right uterine vein-internal iliac vein-IVC pathway. CONCLUSION The clinical symptoms of IVL are non-specific. For patients with intrapelvic IVL, early diagnosis is difficult. Pelvic ultrasound should focus on the parauterine vessels, the iliac and ovarian veins should be explored carefully. MRI has obvious advantages in evaluating parauterine vessel involvement, which is helpful for early diagnosis. For patients with extrapelvic IVL, CT should be performed before surgery as part of a comprehensive evaluation. IVC ultrasonography and echocardiography are recommended when IVL is highly suspected.
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Affiliation(s)
- Q Wang
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China
| | - Y Li
- Department of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, China
| | - X Gu
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China
| | - N Zhang
- Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, China
| | - J Xie
- Department of Cardiology, Jiahui International Hospital, China
| | - B Niu
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China
| | - Y Xing
- Department of Comprehensive Ultrasound, Beijing Anzhen Hospital, Capital Medical University, China
| | - Y He
- Echocardiography Medical Center, Beijing Anzhen Hospital, Capital Medical University, China.
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Hao Y, Si J, Wei J, Gu X, Wang W, Zhang Y, Guan Y, Huang H, Xu C, Song Z. 221P Comparison of efficacy and safety of carboplatin combined with nab-paclitaxel or paclitaxel as first-line therapy for advanced thymic epithelial tumors. J Thorac Oncol 2023. [DOI: 10.1016/s1556-0864(23)00474-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Gu X, Tang D, Xuan Y, Shen Y, Lu LQ. Association between nonalcoholic fatty liver disease and peripheral neuropathy in US population, a cross-sectional study. Sci Rep 2023; 13:5304. [PMID: 37002268 PMCID: PMC10066263 DOI: 10.1038/s41598-023-32115-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 03/22/2023] [Indexed: 04/04/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) has become an important risk of type 2 diabetes mellitus (T2DM). Peripheral neuropathy (PN) is regarded as one of the main microvascular complications of diabetes. But the association of NAFLD with PN is still unclear. We aimed to investigate the association between NAFLD and PN in US population by conducting a cross-sectional study. We enrolled 3029 participants aged 40-85 years from National Health and Nutrition Examination Survey (NHANES) 1999-2004. NAFLD was defined as a US Fatty Liver Index (FLI) score ≥ 30, and PN was defined as having one or more insensate areas on either foot. Participants were divided into two groups (with or without PN). We performed multivariate logistic regression models to evaluate the association between NAFLD and PN. Subgroup analyses were used to find out whether the association was stable in different stratified groups. Sensitivity analyses were conducted to assess the robustness of the results. All the analyses were weighted. Among the individuals, 524 (17.3%) had PN and 1250 (41.27%) had NAFLD. In the multivariate logistic regression models, NAFLD was associated with an increased risk of PN (OR 1.44 [1.03 ~ 2.02]) after fully adjusting for covariates. In the subgroup analyses, NAFLD was significantly associated with PN in the age group (40-64 years), compared with those in the age group (65-85 years), (P for interaction: 0.004). The results of association of NAFLD with PN were stable in sensitivity analyses. In this cross-sectional study among US adults aged 40-85 years old, NAFLD was associated with an increased likelihood of prevalent PN.
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Affiliation(s)
- Xi Gu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No. 149 Chongqing South Road, Shanghai, China
| | - Dou Tang
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No. 149 Chongqing South Road, Shanghai, China
| | - Yan Xuan
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No. 149 Chongqing South Road, Shanghai, China
| | - Ying Shen
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No. 149 Chongqing South Road, Shanghai, China.
| | - Lei Qun Lu
- Department of Endocrinology, RuiJin Hospital Lu Wan Branch, Shanghai Jiaotong University School of Medicine, No. 149 Chongqing South Road, Shanghai, China.
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Cai SY, Gu X, Liu PJ, Li RS, Jiang JJ, Zhao SP, Yao W, Jiang YN, Yin YH, Yu B, Yuan ZY, Wang JA. [Efficacy and safety of various doses of hybutimibe monotherapy or in combination with atorvastatin for primary hypercholesterolemia: a multicenter, randomized, double-blind, double-dummy, parallel-controlled phase Ⅲ clinical trial]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:180-187. [PMID: 36789598 DOI: 10.3760/cma.j.cn112148-20230105-00009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Objective: To evaluate the efficacy and safety of hybutimibe monotherapy or in combination with atorvastatin in the treatment of primary hypercholesterolemia. Methods: This was a multicenter, randomized, double-blind, double-dummy, parallel-controlled phase Ⅲ clinical trial of patients with untreated primary hypercholesterolemia from 41 centers in China between August 2015 and April 2019. Patients were randomly assigned, at a ratio of 1∶1∶1∶1∶1∶1, to the atorvastatin 10 mg group (group A), hybutimibe 20 mg group (group B), hybutimibe 20 mg plus atorvastatin 10 mg group (group C), hybutimibe 10 mg group (group D), hybutimibe 10 mg plus atorvastatin 10 mg group (group E), and placebo group (group F). After a dietary run-in period for at least 4 weeks, all patients were administered orally once a day according to their groups. The treatment period was 12 weeks after the first dose of the study drug, and efficacy and safety were evaluated at weeks 2, 4, 8, and 12. After the treatment period, patients voluntarily entered the long-term safety evaluation period and continued the assigned treatment (those in group F were randomly assigned to group B or D), with 40 weeks' observation. The primary endpoint was the percent change in low density lipoprotein cholesterol (LDL-C) from baseline at week 12. Secondary endpoints included the percent changes in high density lipoprotein cholesterol (HDL-C), triglyceride (TG), apolipoprotein B (Apo B) at week 12 and changes of the four above-mentioned lipid indicators at weeks 18, 24, 38, and 52. Safety was evaluated during the whole treatment period. Results: Totally, 727 patients were included in the treatment period with a mean age of (55.0±9.3) years old, including 253 males. No statistical differences were observed among the groups in demographics, comorbidities, and baseline blood lipid levels. At week 12, the percent changes in LDL-C were significantly different among groups A to F (all P<0.01). Compared to atorvastatin alone, hybutimibe combined with atorvastatin could further improve LDL-C, TG, and Apo B (all P<0.05). Furthermore, there was no significant difference in percent changes in LDL-C at week 12 between group C and group E (P=0.991 7). During the long-term evaluation period, there were intergroup statistical differences in changes of LDL-C, TG and Apo B at 18, 24, 38, and 52 weeks from baseline among the statins group (group A), hybutimibe group (groups B, D, and F), and combination group (groups C and E) (all P<0.01), with the best effect observed in the combination group. The incidence of adverse events was 64.2% in the statins group, 61.7% in the hybutimibe group, and 71.0% in the combination group during the long-term evaluation period. No treatment-related serious adverse events or adverse events leading to death occurred during the 52-week study period. Conclusions: Hybutimibe combined with atorvastatin showed confirmatory efficacy in patients with untreated primary hypercholesterolemia, which could further enhance the efficacy on the basis of atorvastatin monotherapy, with a good overall safety profile.
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Affiliation(s)
- S Y Cai
- Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou 310009, China
| | - X Gu
- Department of Cardiology, Subei People's Hospital of Jiangsu Province, Yangzhou 225001, China
| | - P J Liu
- Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang 212001, China
| | - R S Li
- Department of Cardiology, Liuzhou People's Hospital, Liuzhou 545026, China
| | - J J Jiang
- Department of Cardiology, Taizhou Hospital of Zhejiang Province, Taizhou 317000, China
| | - S P Zhao
- Department of Cardiology, the Second Xiangya Hospital of Central South University, Changsha 410011, China
| | - W Yao
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Y N Jiang
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Y H Yin
- Department of Cardiology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
| | - B Yu
- Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Z Y Yuan
- Department of Cardiology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - J A Wang
- Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou 310009, China
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Xu RZ, Gu X, Zhao WX, Zhou JS, Zhang QQ, Du X, Li YD, Mao YH, Zhao D, Huang K, Zhang CF, Wang F, Liu ZK, Chen YL, Yang LX. Development of a laser-based angle-resolved-photoemission spectrometer with sub-micrometer spatial resolution and high-efficiency spin detection. Rev Sci Instrum 2023; 94:023903. [PMID: 36859063 DOI: 10.1063/5.0106351] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
Angle-resolved photoemission spectroscopy with sub-micrometer spatial resolution (μ-ARPES), has become a powerful tool for studying quantum materials. To achieve sub-micrometer or even nanometer-scale spatial resolution, it is important to focus the incident light beam (usually from synchrotron radiation) using x-ray optics, such as the zone plate or ellipsoidal capillary mirrors. Recently, we developed a laser-based μ-ARPES with spin-resolution (LMS-ARPES). The 177 nm laser beam is achieved by frequency-doubling a 355 nm beam using a KBBF crystal and subsequently focused using an optical lens with a focal length of about 16 mm. By characterizing the focused spot size using different methods and performing spatial-scanning photoemission measurement, we confirm the sub-micron spatial resolution of the system. Compared with the μ-ARPES facilities based on the synchrotron radiation, our LMS-ARPES system is not only more economical and convenient, but also with higher photon flux (>5 × 1013 photons/s), thus enabling the high-resolution and high-statistics measurements. Moreover, the system is equipped with a two-dimensional spin detector based on exchange scattering at a surface-passivated iron film grown on a W(100) substrate. We investigate the spin structure of the prototype topological insulator Bi2Se3 and reveal a high spin-polarization rate, confirming its spin-momentum locking property. This lab-based LMS-ARPES will be a powerful research tool for studying the local fine electronic structures of different condensed matter systems, including topological quantum materials, mesoscopic materials and structures, and phase-separated materials.
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Affiliation(s)
- R Z Xu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - X Gu
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - W X Zhao
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - J S Zhou
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Q Q Zhang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - X Du
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Y D Li
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
| | - Y H Mao
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, Hunan 410073, China
| | - D Zhao
- Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - K Huang
- Department of Optics and Optical Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - C F Zhang
- College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, Hunan 410073, China
| | - F Wang
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - Z K Liu
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - Y L Chen
- ShanghaiTech Laboratory for Topological Physics, Shanghai 200031, China
| | - L X Yang
- State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China
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Yang LJ, Zhou JZ, Zheng YF, Hu X, He ZY, Du LJ, Gu X, Huang XY, Li J, Li YQ, Pan LY, Zhang XX, Gu XJ. Association of non-alcoholic fatty liver disease with total testosterone in non-overweight/obese men with type 2 diabetes mellitus. J Endocrinol Invest 2023:10.1007/s40618-023-02006-6. [PMID: 36725809 DOI: 10.1007/s40618-023-02006-6] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 01/04/2023] [Indexed: 02/03/2023]
Abstract
PURPOSE Non-alcoholic fatty liver disease (NAFLD) is considered as both a vital risk factor and a consequence of type 2 diabetes mellitus (T2DM). Low total testosterone (TT) is common in men with T2DM, contributing to increased risks of metabolic diseases. This study aimed to investigate the association between TT levels and the prevalence of NAFLD in men with T2DM. METHODS In this cross-sectional study, 1005 men with T2DM were enrolled in National Metabolic Management Center (MMC) of First Affiliated Hospital of Wenzhou Medical University between January 2017 and August 2021. NAFLD was diagnosed using ultrasound as described by the Chinese Liver Disease Association. Overweight/obesity was defined as body mass index (BMI) ≥ 25 kg/m2 according to WHO BMI classifications. RESULTS Individuals without NAFLD had higher serum TT levels than those with NAFLD. After adjustments for potential confounding factors, the top tertile was significantly associated with lower prevalence of NAFLD compared with the bottom tertile of TT level [odds ratio (OR) 0.303, 95% confidence interval (CI) 0.281-0.713; P < 0.001]. The association between TT with NAFLD in individuals with normal weight (OR 0.175, 95% CI 0.098-0.315; P < 0.001) was stronger than in individuals with overweight/obesity (OR 0.509, 95% CI 0.267-0.971; P = 0.040). There was a significant interaction of TT with overweight/obesity (P for interaction = 0.018 for NAFLD). CONCLUSION Higher serum TT was significantly associated with a lower prevalence of NAFLD in men with T2DM. We found that the relationship of TT and NAFLD was stronger in individuals with non-overweight/obesity.
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Affiliation(s)
- L J Yang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - J Z Zhou
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - Y F Zheng
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X Hu
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - Z Y He
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - L J Du
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X Gu
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X Y Huang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - J Li
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - Y Q Li
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - L Y Pan
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X X Zhang
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China
| | - X J Gu
- Department of Endocrine and Metabolic Diseases, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou, 325000, Zhejiang Province, China.
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Zhai J, Gu X, Liu Y, Hu Y, Jiang Y, Zhang Z. Chemotherapeutic and targeted drugs-induced immunogenic cell death in cancer models and antitumor therapy: An update review. Front Pharmacol 2023; 14:1152934. [PMID: 37153795 PMCID: PMC10160433 DOI: 10.3389/fphar.2023.1152934] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 04/04/2023] [Indexed: 05/10/2023] Open
Abstract
As traditional strategies for cancer treatment, some chemotherapy agents, such as doxorubicin, oxaliplatin, cyclophosphamide, bortezomib, and paclitaxel exert their anti-tumor effects by inducing immunogenic cell death (ICD) of tumor cells. ICD induces anti-tumor immunity through release of, or exposure to, damage-related molecular patterns (DAMPs), including high mobility group box 1 (HMGB1), calreticulin, adenosine triphosphate, and heat shock proteins. This leads to activation of tumor-specific immune responses, which can act in combination with the direct killing functions of chemotherapy drugs on cancer cells to further improve their curative effects. In this review, we highlight the molecular mechanisms underlying ICD, including those of several chemotherapeutic drugs in inducing DAMPs exposed during ICD to activate the immune system, as well as discussing the prospects for application and potential role of ICD in cancer immunotherapy, with the aim of providing valuable inspiration for future development of chemoimmunotherapy.
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Wu MN, Liu WF, Li FD, Huang YW, Gu X, Zhai YJ, Zhang T, Xu L, Lin JF. Association between Iodized Salt Intake and Cognitive Function in Older Adults in China. J Nutr Health Aging 2023; 27:1005-1011. [PMID: 37997722 DOI: 10.1007/s12603-023-1997-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 09/12/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES To investigate the association between iodized salt intake and cognitive function in older adults. DESIGN A cross-sectional study. SETTINGS Individuals from the Zhejiang Major Public Health Surveillance Program (ZPHS). PARTICIPANTS Data of 10,217 participants (including 4,680 coastal residents and 5,537 inland residents) aged ≥ 60 years were analyzed. MEASUREMENTS Salt intake was evaluated using a questionnaire, and participants were stratified into the following three groups: iodized salt, non-iodized salt, and mixed salt. Cognitive function was assessed through the Mini-Mental State Examination and defined using education-specific cut-off points. Logistic regression models controlling for an extensive range of potential confounders were generated to examine the association between salt intake and cognitive function among all participants. RESULTS Data from 10,217 participants with a 16.1% prevalence of cognitive impairment were analyzed. Compared with non-iodized salt intake, consumption of iodized salt was inversely associated with cognitive impairment (odds ratio [OR], 0.410; 95% confidence interval [CI], 0.351-0.480; P < 0.001) in all participants after multivariable adjustment. An association between iodized salt intake and cognitive impairment was observed in coastal (OR, 0.441; 95% CI, 0.340-0.572; P < 0.001) and inland residents (OR, 0.569; 95% CI, 0.439-0.738; P < 0.001). Despite the insufficient sample size, the results for individuals consuming mixed salt suggested an inverse association between mixed salt intake and cognitive impairment among coastal residents (OR, 0.598; 95% CI, 0.405-0.885; P = 0.010) after multivariable adjustment. CONCLUSION Our results indicate that iodized salt intake may reduce the risk of cognitive impairment in older adults living in coastal or inland areas, and the protective effect of iodized salt intake is greater in coastal areas than in inland areas.
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Affiliation(s)
- M N Wu
- Junfen Lin, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Binjiang District, Hangzhou 310051, Zhejiang, China, E-mail address: , Tel: +86 057187115131, Fax: +86 057187115278
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50
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Wang L, Shui X, Zhang M, Mei Y, Xia Y, Lan G, Hu L, Gan CL, Tian Y, Li R, Gu X, Zhang T, Chen D, Lee TH. MiR-191-5p Attenuates Tau Phosphorylation, Aβ Generation, and Neuronal Cell Death by Regulating Death-Associated Protein Kinase 1. ACS Chem Neurosci 2022; 13:3554-3566. [PMID: 36454178 DOI: 10.1021/acschemneuro.2c00423] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Dysregulation of microRNAs has been implicated in diverse diseases, including Alzheimer's disease (AD). MiR-191-5p in plasma/serum has been identified as a novel and promising noninvasive diagnostic biomarker for AD. However, whether miR-191-5p is involved in AD pathogenesis is largely unknown, and its levels in human AD brains are undetermined. Herein, we demonstrated that miR-191-5p downregulated tau phosphorylation at multiple AD-related sites and promoted neurite outgrowth using immunoblotting, immunofluorescence, and neurite outgrowth assays. Moreover, immunoblotting and enzyme-linked immunosorbent assays indicated that miR-191-5p decreased amyloid precursor protein phosphorylation levels and beta-amyloid (Aβ) generation. Furthermore, miR-191-5p reduced ceramide-induced neuronal cell death analyzed by trypan blue staining, the in situ cell death detection kit, and Annexin V-FITC/PI flow cytometry. Next, we verified that death-associated protein kinase 1 (DAPK1) was a direct target of miR-191-5p through the dual luciferase reporter assay and confirmed that the effects of miR-191-5p were antagonized by restoration of DAPK1 expression. Finally, the hippocampal miR-191-5p level was found to be decreased in humans with AD compared with controls and was inversely correlated with the DAPK1 expression level. Collectively, these findings suggest that miR-191-5p might exert inhibitory effects on tau phosphorylation, Aβ secretion, and neuronal cell death by directly targeting DAPK1, providing an attractive therapeutic option for AD.
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Affiliation(s)
- Long Wang
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Xindong Shui
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Mi Zhang
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Yingxue Mei
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Yongfang Xia
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Guihua Lan
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Li Hu
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Chen-Ling Gan
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Yuan Tian
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Ruomeng Li
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Xi Gu
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Tao Zhang
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Dongmei Chen
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
| | - Tae Ho Lee
- Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases, Institute of Basic Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian350122, China
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