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Yue Q, Huang C, Song P, Wang S, Chen H, Wang D, Li F, Zhou R. Transcriptomic analysis reveals the molecular mechanisms underlying osteoclast differentiation in the estrogen-deficient pullets. Poult Sci 2022; 102:102453. [PMID: 36621102 PMCID: PMC9841284 DOI: 10.1016/j.psj.2022.102453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 12/09/2022] [Accepted: 12/21/2022] [Indexed: 12/27/2022] Open
Abstract
Several previous reports have suggested that estrogen (E2) is a vital signal responsible for the regulation of skeletal homeostasis and bone remodeling in mammals. E2 could efficiently accelerate the growth of medullary bone in pullets during sexual maturity. Furthermore, the low E2 level can strengthen the mechanical bone functions in female hens. However, mechanistic studies to describe the effects of E2 on bone in pullets during the initiation of the puberty period are remaining elusive. Therefore, the aim of this study was to explore the effect of inhibiting E2 biosynthesis on the biomechanical properties and its molecular mechanism during sexual maturity of pullets. In this study, a total of 90 Hy-line Sonia pullets with comparable body weight at 13 wk of age were selected and categorized into 2 separate groups. Daily, 0.5 mg/4 mL of letrozole (LZ) was orally administered to the treatment (TRT) group and 4 mL of saline to the control (CON) group of pullets for 6 wk. Compared with the CON group, a lower plasma E2 level was observed in the TRT group. Furthermore, plasma P, Gla protein (BGP), and 1,25-dihydroxy vitamin D3 (1,25-(OH)2D3) levels were markedly suppressed, whereas the plasma alkaline phosphatase (ALP) and tartrate-resistant acid phosphatase (TRAP) levels were significantly elevated. Moreover, the cortical bone thickness and breaking strength of the tibia and femur, the bone mineral density of the humerus, and the bone mineral content of the humerus as well as the femur were increased significantly. The expression levels of 340 differentially expressed genes (DEGs) differed significantly between the CON and TRT group in the tibia at 19 wk of age. Among them, 32 genes were up-regulated, whereas 308 were down-regulated in the TRT group. The variations in candidate genes associated with osteoclast differentiation and cell adhesion may indicate that LZ inhibits E2 biosynthesis, consequently, reduces osteoclast differentiation by suppressing inter-cellular communication and cells attaching to extracellular matrix components. Taken together, the present study demonstrated that inhibiting E2 synthesis during sexual maturity of pullets decreased osteoclast differentiation and considerably enhanced bone quality.
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Cao Z, Aharonian F, An Q, Bai LX, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai JT, Cao Z, Chang J, Chang JF, Chen ES, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng HL, Cheng N, Cheng YD, Cui SW, Cui XH, Cui YD, D'Ettorre Piazzoli B, Dai BZ, Dai HL, Dai ZG, Della Volpe D, Duan KK, Fan JH, Fan YZ, Fan ZX, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng XT, Feng YL, Gao B, Gao CD, Gao LQ, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Gong GH, Gou QB, Gu MH, Guo FL, Guo JG, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He SL, He XB, He Y, Heller M, Hor YK, Hou C, Hou X, Hu HB, Hu Q, Hu S, Hu SC, Hu XJ, Huang DH, Huang WH, Huang XT, Huang XY, Huang Y, Huang ZC, Ji XL, Jia HY, Jia K, Jiang K, Jiang ZJ, Jin M, Kang MM, Ke T, Kuleshov D, Levochkin K, Li BB, Li C, Li C, Li F, Li HB, Li HC, Li HY, Li J, Li J, Li J, Li K, Li WL, Li XR, Li X, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JS, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Long WJ, Lu R, Luo Q, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Masood A, Min Z, Mitthumsiri W, Nan YC, Ou ZW, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Qi YQ, Qiao BQ, Qin JJ, Ruffolo D, Sáiz A, Shao CY, Shao L, Shchegolev O, Sheng XD, Shi JY, Song HC, Stenkin YV, Stepanov V, Su Y, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang ZB, Tian WW, Wang BD, Wang C, Wang H, Wang HG, Wang JC, Wang JS, Wang LP, Wang LY, Wang R, Wang RN, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang YP, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao DX, Xiao G, Xin GG, Xin YL, Xing Y, Xiong Z, Xu DL, Xu RX, Xue L, Yan DH, Yan JZ, Yang CW, Yang FF, Yang HW, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zeng ZK, Zha M, Zhai XX, Zhang BB, Zhang F, Zhang HM, Zhang HY, Zhang JL, Zhang LX, Zhang L, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang YL, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zheng Y, Zhou B, Zhou H, Zhou JN, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X, Ando S, Chianese M, Fiorillo DFG, Miele G, Ng KCY. Constraints on Heavy Decaying Dark Matter from 570 Days of LHAASO Observations. PHYSICAL REVIEW LETTERS 2022; 129:261103. [PMID: 36608208 DOI: 10.1103/physrevlett.129.261103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 08/19/2022] [Accepted: 10/27/2022] [Indexed: 06/17/2023]
Abstract
The kilometer square array (KM2A) of the large high altitude air shower observatory (LHAASO) aims at surveying the northern γ-ray sky at energies above 10 TeV with unprecedented sensitivity. γ-ray observations have long been one of the most powerful tools for dark matter searches, as, e.g., high-energy γ rays could be produced by the decays of heavy dark matter particles. In this Letter, we present the first dark matter analysis with LHAASO-KM2A, using the first 340 days of data from 1/2-KM2A and 230 days of data from 3/4-KM2A. Several regions of interest are used to search for a signal and account for the residual cosmic-ray background after γ/hadron separation. We find no excess of dark matter signals, and thus place some of the strongest γ-ray constraints on the lifetime of heavy dark matter particles with mass between 10^{5} and 10^{9} GeV. Our results with LHAASO are robust, and have important implications for dark matter interpretations of the diffuse astrophysical high-energy neutrino emission.
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Javdani Z, Hassani N, Faraji F, Zhou R, Sun C, Radha B, Neyts E, Peeters FM, Neek-Amal M. Clogging and Unclogging of Hydrocarbon-Contaminated Nanochannels. J Phys Chem Lett 2022; 13:11454-11463. [PMID: 36469310 DOI: 10.1021/acs.jpclett.2c03016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The recent advantages of the fabrication of artificial nanochannels enabled new research on the molecular transport, permeance, and selectivity of various gases and molecules. However, the physisorption/chemisorption of the unwanted molecules (usually hydrocarbons) inside nanochannels results in the alteration of the functionality of the nanochannels. We investigated contamination due to hydrocarbon molecules, nanochannels made of graphene, hexagonal boron nitride, BC2N, and molybdenum disulfide using molecular dynamics simulations. We found that for a certain size of nanochannel (i.e., h = 0.7 nm), as a result of the anomalous hydrophilic nature of nanochannels made of graphene, the hydrocarbons are fully adsorbed in the nanochannel, giving rise to full uptake. An increasing temperature plays an important role in unclogging, while pressure does not have a significant role. The results of our pioneering work contribute to a better understanding and highlight the important factors in alleviating the contamination and unclogging of nanochannels, which are in good agreement with the results of recent experiments.
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Fan Y, Zhu J, He J, Zhou R, Chen J, Han G, Ren B. 367P High-dose aumolertinib in EGFR-mutant NSCLC patients with brain metastases: Primary data from ACHIEVE. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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Bo LL, Wang YQ, Liu YY, Li XD, Zhou R, Wang JL. [Analyze of obesity indicators and effect of fertility preservation treatment in patients with endometrial atypical hyperplasia and early endometrial cancer]. ZHONGHUA FU CHAN KE ZA ZHI 2022; 57:767-774. [PMID: 36299180 DOI: 10.3760/cma.j.cn112141-20220727-00487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the clinical features of obesity indicators in patients with endometrial atypical hyperplasia (EAH) and early endometrial cancer (EC) and analyze the relationship between these indexes and effect of fertility preservation therapy. Methods: The clinical data of patients with EAH, EC and endometrial benign lesions treated in Peking University People's Hospital from January 1, 2018 to June 30, 2021 who required fertility-sparing treatment were collected, and obesity indicators were calculated and analyzed retrospectively. Results: (1) Obesity indicators: the obesity [body mass index (BMI) ≥28 kg/m2] rate of patients with fertility preservation treatment was 40% (32/80), and abdominal obesity [waist circumference (WC) ≥80 cm] rate was 79% (63/80), and obesity indicators [BMI, WC, waist-hip ratio (WHR), weight height ratio (WHTR), body roundness index (BRI), lipid accumulation index (LAP), visceral adiposity index (VAI)] were higher than those with endometrial benign lesions (all P<0.001). (2) Related factors affecting the efficacy of fertility preservation treatment and their predictive value: EC, higher BMI, WC, WHR, WHTR and BRI were risk factors for lower complete remission rate after nine months' treatment (all P<0.05). The predictive values of BRI and WHTR combined with pathological type were superior to other indicators [area under the curve (AUC)=0.716; AUC=0.714]. (3) Relation of obesity indicators and glucolipid indicators:BMI, WC, WHR, WHTR, BRI, LAP and VAI were positively correlated with homeostasis model assessment-insulin resistance index, glycosylated hemoglobin, and triacylglycerol (all P<0.05); while VAI was negatively correlated with high density lipoprotein cholesterol (P<0.001). Conclusions: For patients with EAH and EC treated with fertility preservation therapy, abnormal obesity indexes affect the treatment effect. BRI and WHTR combined pathology have good predictive value for effect of fertility preservation treatment. In clinical practice, appropriate indicators could be selected to evaluate body shape, glucolipid metabolism and predict efficacy.
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Piao C, Lv M, Wang S, Zhou R, Wang Y, Wei J, Liu J. Multi-objective data enhancement for deep learning-based ultrasound analysis. BMC Bioinformatics 2022; 23:438. [PMID: 36266626 PMCID: PMC9583467 DOI: 10.1186/s12859-022-04985-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 10/10/2022] [Indexed: 11/10/2022] Open
Abstract
Recently, Deep Learning based automatic generation of treatment recommendation has been attracting much attention. However, medical datasets are usually small, which may lead to over-fitting and inferior performances of deep learning models. In this paper, we propose multi-objective data enhancement method to indirectly scale up the medical data to avoid over-fitting and generate high quantity treatment recommendations. Specifically, we define a main and several auxiliary tasks on the same dataset and train a specific model for each of these tasks to learn different aspects of knowledge in limited data scale. Meanwhile, a Soft Parameter Sharing method is exploited to share learned knowledge among models. By sharing the knowledge learned by auxiliary tasks to the main task, the proposed method can take different semantic distributions into account during the training process of the main task. We collected an ultrasound dataset of thyroid nodules that contains Findings, Impressions and Treatment Recommendations labeled by professional doctors. We conducted various experiments on the dataset to validate the proposed method and justified its better performance than existing methods.
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Shi CX, Zhang YY, Zhou R, Sun YE, Bo JH. [Risk factors of pain after CT-guided preoperative localization of pulmonary nodules with four-hook needle]. ZHONGHUA YI XUE ZA ZHI 2022; 102:2939-2943. [PMID: 36207869 DOI: 10.3760/cma.j.cn112137-20220318-00579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To identify the risk factors of pain after CT-guided preoperative localization of pulmonary nodules with 4-hook needle. Methods: The clinical data of 212 patients, who underwent CT-guided preoperative localization of single pulmonary nodule with 4-hook needle in Nanjing Drum Tower Hospital affiliated to Nanjing University Medical School from September 2021 to February 2022 were retrospectively analyzed. All patients, including 83 males and 129 females with an age of (54±12) years, were divided into mild pain group (n=163) and moderate-severe pain group (n=49) according to numeric rating scale (NRS) for assessment of pain intensity. The gender, age, body mass index, smoking history, American Society of Anesthesiologists physical status (ASA), nodule location, nodule size, nodule distance from pleura, needle tip distance from pleura, localization-related complications (pneumothorax, pulmonary hemorrhage) and NRS for assessment of pain intensity after pulmonary nodules localization were collected and compared between the two groups. Univariate analysis and multivariate binary logistic regression analysis were performed to identify the risk factors of moderate-severe pain after CT-guided preoperative localization of pulmonary nodules with 4-hook needle. Results: The success rate of preoperative localization was 100%. The rates of pneumothorax and pulmonary hemorrhage were 22.6% and 17.0%, respectively. Univariate analysis showed that there was no significant difference in gender, age, body mass index, smoking history, ASA physical status, nodule location, nodule size, nodule distance from pleura and localization-related complications (pneumothorax, pulmonary hemorrhage) between the two groups (P>0.05), while needle tip distance from pleura of moderate-severe pain group was significantly less than that of mild pain group [7(6, 11) mm vs 15(12, 19) mm, P<0.001]. Multivariate binary logistic regression analysis showed that needle tip distance from pleura was the only risk factor for moderate-severe pain (OR=0.645, 95%CI: 0.562-0.739, P<0.001). According to receiver operating characteristic (ROC) curve analysis, when the cut-off value of needle tip distance from pleura was 9.5 mm, the sensitivity was 69.4%(34/49), the specificity was 90.2%(147/163), and the area under the curve (AUC) was 0.878 (95%CI: 0.820-0.935, P<0.001). Conclusions: Needle tip distance from pleura was the independent risk factor of moderate-severe pain after CT-guided preoperative localization of pulmonary nodules with 4-hook needle. The less needle tip distance from pleura is, the higher risk of moderate-severe pain occurs.
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Wang YQ, Kang N, Li LW, Wang ZQ, Zhou R, Shen DH, Wang JL. [Significance of molecular classification in fertility-sparing treatment of endometrial carcinoma and atypical endometrial hyperplasia]. ZHONGHUA FU CHAN KE ZA ZHI 2022; 57:692-700. [PMID: 36177581 DOI: 10.3760/cma.j.cn112141-20220628-00419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To investigate the molecular classification of endometrial carcinoma (EC) and atypical endometrial hyperplasia (AEH) treated with fertility-sparing therapy, and to analyze its relationship with clinicopathological factors and treatment efficacy. Methods: A total of 46 EC and AEH patients who received fertility-sparing therapy and molecular classification tested by next generation sequencing in Peking University People's Hospital from June 2020 to December 2021, were retrospectively collected. The relationships between molecular classification and clinicopathological factors and treatment outcomes were analyzed. Results: (1) Of the 46 patients, including 40 EC and 6 AEH patients, 32 cases (71%, 32/45) had complete response (CR) after treatment, with median CR time of 8 months, 6 cases (13%, 6/45) had partial response, and 8 cases (25%, 8/32) had recurrence. (2) The cases were distributed as no specific molecular profile (NSMP) 34 cases (74%, 34/46) subtype mainly, high microsatellite instability (MSI-H) 7 cases (15%, 7/46), POLE ultra-mutated 3 cases (7%, 3/46), and copy number high (CNH) 2 cases (4%, 2/46). Patients with CNH had the hightest serum cancer antigen 125 (CA125) level [(34.3±35.2) kU/L]. MSI-H subtype had more family history of tumors (6/7), more with loss of mismatch repair (MMR) protein expression by immunohistochemical (7/7), and higher nuclear antigen associated with cell proliferation (Ki-67) expression level (3/3). (3) Patients in MSI-H subgroup had the lowest CR rate at 6 months (0/6; P=0.019), and survival analysis showed that they were less likely to achieve CR than those with NSMP subtype (P=0.022). Subgroup analysis of patients with NSMP showed that age ≥30 years related with longer treatment time to CR (P=0.010). In addition, CR was obtained after treatment in 2/3 POLE ultra-mutated cases and 2/2 CNH, respectively. Conclusions: Molecular classification relates with the treatment response in patients with EC and AEH treated with fertility-sparing therapy. Patients with MSI-H subtype have poor treatment efficacy, and patients with NSMP need to be further studied and predict treatment benefit. However, there are few cases in POLE ultra-mutated and CNH subtypes, which need further clinical research.
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Chen YT, Zhang W, Gu YP, Zhou R, Kong TT, Li J, Shi J. [Chinesization of the quality of life scale and its reliability and validity tests for non-alcoholic fatty liver disease]. ZHONGHUA GAN ZANG BING ZA ZHI = ZHONGHUA GANZANGBING ZAZHI = CHINESE JOURNAL OF HEPATOLOGY 2022; 30:981-985. [PMID: 36299193 DOI: 10.3760/cma.j.cn501113-20220811-00416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Objective: To translate the English version of the non-alcoholic fatty liver disease quality of life scale (CLDQ-NAFLD) into the Chinese version in order to test its reliability and validity. Methods: The English version of the CLDQ-NAFLD was translated according to the cross-cultural research tool debugging and validation guidelines to form the Chinese version of the CLDQ-NAFLD. A questionnaire survey was conducted on 515 NAFLD cases in a tertiary hospital in Hangzhou from September 2021 to April 2022 to evaluate the reliability and validity of the scale. Results: The Chinese version of the CLDQ-NAFLD contained six domains with a total of thirty-six items (X2/DF=3.105, RMSEA=0.064, TLI=0.905, CFI=0.912, and IFI=0.913). I-CVI, S-CVI/UA, and S-CVI/Ave was 0.83 to 1.00, 0.86 and 0.98, respectively. The 12-item Short-Form Health Survey (SF-12) was used as the calibration standard, and the correlation validity of the calibration standard was 0.704 (P<0.001). The Cronbach's alpha coefficient of the total scale and each dimension of the scale was 0.964 and 0.807-0.956, respectively. The test-retest reliability was 0.839. Conclusion: The Chinese version of the CLDQ-NAFLD has good reliability and validity. Thus, it can be used to evaluate the quality of life for NAFLD patients with a Chinese cultural background.
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Aharonian F, An Q, Axikegu, Bai LX, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai JT, Cao Z, Cao Z, Chang J, Chang JF, Chen ES, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen Y, Cheng HL, Cheng N, Cheng YD, Cui SW, Cui XH, Cui YD, D’Ettorre Piazzoli B, Dai BZ, Dai HL, Dai ZG, Danzengluobu, della Volpe D, Duan KK, Fan JH, Fan YZ, Fan ZX, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng XT, Feng YL, Gao B, Gao CD, Gao LQ, Gao Q, Gao W, Gao WK, Ge MM, Geng LS, Gong GH, Gou QB, Gu MH, Guo FL, Guo JG, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He SL, He XB, He Y, Heller M, Hor YK, Hou C, Hou X, Hu HB, Hu Q, Hu S, Hu SC, Hu XJ, Huang DH, Huang WH, Huang XT, Huang XY, Huang Y, Huang ZC, Ji XL, Jia HY, Jia K, Jiang K, Jiang ZJ, Jin M, Kang MM, Ke T, Kuleshov D, Levochkin K, Li BB, Li C, Li C, Li F, Li HB, Li HC, Li HY, Li J, Li J, Li J, Li K, Li WL, Li XR, Li X, Li X, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JS, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Long WJ, Lu R, Luo Q, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Masood A, Min Z, Mitthumsiri W, Nan YC, Ou ZW, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Qi YQ, Qiao BQ, Qin JJ, Ruffolo D, Sáiz A, Shao CY, Shao L, Shchegolev O, Sheng XD, Shi JY, Song HC, Stenkin YV, Stepanov V, Su Y, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang ZB, Tian WW, Wang BD, Wang C, Wang H, Wang HG, Wang JC, Wang JS, Wang LP, Wang LY, Wang R, Wang RN, Wang W, Wang XG, Wang XY, Wang Y, Wang YD, Wang YJ, Wang YP, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu XF, Wu YS, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao DX, Xiao G, Xin GG, Xin YL, Xing Y, Xiong Z, Xu DL, Xu RX, Xue L, Yan DH, Yan JZ, Yang CW, Yang FF, Yang HW, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Yue H, Zeng HD, Zeng TX, Zeng W, Zeng ZK, Zha M, Zhai XX, Zhang BB, Zhang F, Zhang HM, Zhang HY, Zhang JL, Zhang LX, Zhang L, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SB, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang YL, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zheng Y, Zhou B, Zhou H, Zhou JN, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X. Reconstruction of Cherenkov image by multiple telescopes of LHAASO-WFCTA. RADIATION DETECTION TECHNOLOGY AND METHODS 2022. [DOI: 10.1007/s41605-022-00342-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Shi C, Houyu J, Zhou R, Wu Y, Li H, Wang Y, Xu S, Gu Z, Li J, Zhang Z, Ren G. 880P Phase II trial of the cyclin dependent kinase 4/6 inhibitor SHR6390 in patients with advanced head and neck mucosal melanoma harboring CDK4 amplification. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.1006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Zhang T, Liu ZJ, Liu SZ, Cheng JN, Yang L, Zhou R, Guo LP, Yang L, Xiong S, Ju JH. [Clinical effects of free superficial peroneal artery perforator flaps in repairing skin and soft tissue defects of the hallux]. ZHONGHUA SHAO SHANG YU CHUANG MIAN XIU FU ZA ZHI 2022; 38:753-758. [PMID: 36058698 DOI: 10.3760/cma.j.cn501120-20210604-00211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To explore the clinical effects of free superficial peroneal artery perforator flaps in repairing skin and soft tissue defects of the hallux. Methods: A retrospective observational study was conducted. From January 2020 to January 2021, 13 patients with skin and soft tissue defects of the hallux who met the inclusion criteria were admitted to Department of Foot and Ankle Surgery of Ruihua Affiliated Hospital of Soochow University, including 12 males and 1 female, aged 26 to 53 years. Before operation, the perforating point of the superficial peroneal artery perforator was located by color Doppler ultrasound on the calf on the same side of the affected hallux and marked on the body surface. The operation was performed under spinal anesthesia combined with continuous epidural anesthesia. The area of skin and soft tissue defect after debridement was 4.5 cm×2.5 cm to 12.0 cm×3.0 cm. According to the size and shape of the wound, the superficial peroneal artery perforator flap was designed with the line between the fibular head and the lateral malleolus tip parallel shifting 2 cm to the tibial side as the flap axis line, and the perforating point of the perforator near the midpoint of the axis line as the center. The cut area of the flap was 5.0 cm×3.0 cm to 13.0 cm×4.0 cm, and part of the deep fascia was cut when the pedicle was freed. The donor site wound was sutured directly. During the operation, the number and type of the perforator and the cutting time of the flap were recorded, and the length of the perforator pedicle and diameter of the perforator were measured. The survival of the flap, the healing time and the healing condition of the donor and recipient areas were recorded after operation. The color, texture, elasticity of the flap, standing and walking functions of patients, the recovery of the donor area, and the patients' satisfaction with the recovery of the donor and recipient areas were recorded during the follow-up. At the last follow-up, the sensation of the flap was evaluated by the British Medical Association sensory function evaluation standard, the function of the affected limb was evaluated by the American Society of Foot and Ankle Surgery scoring system, and the excellent and good rate of the function of the affected limb was calculated. Results: A total of 13 perforators of the superficial peroneal artery were detected during the operation, all of which were septocutaneous perforators, and the perforator diameter was 0.3 to 0.5 mm. The vascular pedicle length was 2 to 5 cm. Flap cutting time was 11 to 26 minutes. The flaps of 13 patients all survived completely. The wounds at the donor and recipient sites healed well 9 to 18 days after operation. During follow-up of 6 to 14 months, the flaps had good color, texture, and elasticity; 11 patients had no obvious bloated appearance, and the other 2 patients underwent flap thinning and plastic surgery in the second stage because of their bloated appearance; all the patients returned to normal walking and standing functions. There was only one linear scar left in the donor site, with no obvious scar hyperplasia or hyperpigmentation. All the patients were satisfied with the recovery of the donor and recipient areas. At the last follow-up, the sensation of the flap was evaluated as grade S3 in 2 cases, grade S2 in 9 cases, and grade S1 in 2 cases; the function of the affected limb was evaluated as excellent in 7 cases and good in 6 cases, with an excellent and good rate of 100%. Conclusions: The free superficial peroneal artery perforator flap has relatively constant vascular anatomy, which is thin and wear-resistant, with less damage to the donor site after flap excision, and can preserve the shape and function of the hallux to the greatest extent. It is an effective method for repairing skin and soft tissue defect of the hallux.
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Abbott R, Abe H, Acernese F, Ackley K, Adhikari N, Adhikari R, Adkins V, Adya V, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Akutsu T, Albanesi S, Alfaidi R, Allocca A, Altin P, Amato A, Anand C, Anand S, Ananyeva A, Anderson S, Anderson W, Ando M, Andrade T, Andres N, Andrés-Carcasona M, Andrić T, Angelova S, Ansoldi S, Antelis J, Antier S, Apostolatos T, Appavuravther E, Appert S, Apple S, Arai K, Araya A, Araya M, Areeda J, Arène M, Aritomi N, Arnaud N, Arogeti M, Aronson S, Arun K, Asada H, Asali Y, Ashton G, Aso Y, Assiduo M, Melo SADS, Aston S, Astone P, Aubin F, AultONeal K, Austin C, Babak S, Badaracco F, Bader M, Badger C, Bae S, Bae Y, Baer A, Bagnasco S, Bai Y, Baird J, Bajpai R, Baka T, Ball M, Ballardin G, Ballmer S, Balsamo A, Baltus G, Banagiri S, Banerjee B, Bankar D, Barayoga J, Barbieri C, Barish B, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton M, Bartos I, Basak S, Bassiri 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D, Davis M, Daw E, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Dell’Aquila D, Del Pozzo W, DeMarchi L, De Matteis F, D’Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz M, Didio N, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Di Michele A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla A, Dmitriev A, Doctor Z, Donahue L, D’Onofrio L, Donovan F, Dooley K, Doravari S, Drago M, Driggers J, Drori Y, Ducoin JG, Dupej P, Dupletsa U, Durante O, D’Urso D, Duverne PA, Dwyer S, Eassa C, Easter P, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo T, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry S, Eisenmann M, Eisenstein R, Ejlli A, Engelby E, Enomoto Y, Errico L, Essick R, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans T, Evstafyeva T, Ewing B, Fabrizi F, Faedi F, Fafone V, Fair H, Fairhurst S, Fan P, Farah A, Farinon S, Farr B, Farr W, Fauchon-Jones E, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer M, Fenyvesi E, Ferguson D, Fernandez-Galiana A, Ferrante I, Ferreira T, Fidecaro F, Figura P, Fiori A, Fiori I, Fishbach M, Fisher R, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font J, Fornal B, Forsyth P, Franke A, Frasca S, Frasconi F, Freed J, Frei Z, Freise A, Freitas O, Frey R, Fritschel P, Frolov V, Fronzé G, Fujii Y, Fujikawa Y, Fujimoto Y, Fulda P, Fyffe M, Gabbard H, Gabella W, Gadre B, Gair J, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar S, Garaventa B, Núñez CG, García-Quirós C, Garufi F, Gateley B, Gayathri V, Ge GG, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Ghosh T, Giacomazzo B, Giacoppo L, Giaime J, Giardina K, Gibson D, Gier C, Giesler M, Giri P, Gissi F, Gkaitatzis S, Glanzer J, Gleckl A, Godwin P, Goetz E, Goetz R, Gohlke N, Golomb J, 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I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Mihaylov D, Milano L, Miller A, Miller A, Miller B, Millhouse M. Search for continuous gravitational wave emission from the Milky Way center in O3 LIGO-Virgo data. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.042003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Albanesi S, Allocca A, Altin PA, Amato A, Anand C, Anand S, Ananyeva A, Anderson SB, Anderson WG, Andrade T, Andres N, Andrić T, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Araya MC, Areeda JS, Arène M, Arnaud N, Aronson SM, Arun KG, Asali Y, Ashton G, Assiduo M, Aston SM, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader MKM, Badger C, Bae S, Baer AM, Bagnasco S, Bai Y, Baird J, Ball M, Ballardin G, Ballmer SW, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Beveridge D, Bhandare R, Bhardwaj U, Bhattacharjee D, Bhaumik S, Bilenko IA, Billingsley G, Bini S, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bonavena LD, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Brau JE, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Buy C, Byer RL, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callaghan JD, Callister TA, Calloni E, Cameron J, Camp JB, Canepa M, Canevarolo S, Cannavacciuolo M, Cannon KC, Cao H, Capote E, Carapella G, Carbognani F, Carlin JB, Carney MF, Carpinelli M, Carrillo G, Carullo G, Carver TL, Diaz JC, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Ceasar M, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Subrahmanya SC, Champion E, Chan CH, Chan C, Chan CL, Chan K, Chandra K, Chanial P, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee C, Chatterjee D, Chatterjee D, Chaturvedi M, Chaty S, Chatziioannou K, Chen HY, Chen J, Chen X, Chen Y, Chen Z, Cheng H, Cheong CK, Cheung HY, Chia HY, Chiadini F, Chiarini G, Chierici R, Chincarini A, Chiofalo ML, Chiummo A, Cho G, Cho HS, Choudhary RK, Choudhary S, Christensen N, Chu Q, Chua S, Chung KW, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark EN, Clark JA, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Codazzo E, Cohadon PF, Cohen DE, Cohen L, Colleoni M, Collette CG, Colombo A, Colpi M, Compton CM, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coulon JP, Countryman ST, Cousins B, Couvares P, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Criswell AW, Croquette M, Crowder SG, Cudell JR, Cullen TJ, Cumming A, Cummings R, Cunningham L, Cuoco E, Curyło M, Dabadie P, Canton TD, Dall'Osso S, Dálya G, Dana A, DaneshgaranBajastani LM, D'Angelo B, Danilishin S, D'Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier LEH, Datta S, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Davis MC, Daw EJ, Dean R, DeBra D, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi LM, De Matteis F, D'Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz MC, Diaz-Ortiz M, Didio NA, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Giovanni M, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, D'Onofrio L, Donovan F, Dooley KL, Doravari S, Dorrington I, Drago M, Driggers JC, Drori Y, Ducoin JG, Dupej P, Durante O, D'Urso D, Duverne PA, Dwyer SE, Eassa C, Easter PJ, Ebersold M, Eckhardt T, Eddolls G, Edelman B, Edo TB, Edy O, Effler A, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Ejlli A, Engelby E, Errico L, Essick RC, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans TM, Ewing BE, Fafone V, Fair H, Fairhurst S, Farah AM, Farinon S, Farr B, Farr WM, Farrow NW, Fauchon-Jones EJ, Favaro G, Favata M, Fays M, Fazio M, Feicht J, Fejer MM, Fekecs B, Fenyvesi E, Ferguson DL, Fernandez-Galiana A, Ferrante I, Ferreira TA, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher RP, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Fong H, Font JA, Fornal B, Forsyth PWF, Franke A, Frasca S, Frasconi F, Frederick C, Freed JP, Frei Z, Freise A, Frey R, Fritschel P, Frolov VV, Fronzé GG, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gair JR, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gaonkar SG, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Gemme G, Gennai A, George J, Gerberding O, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime JA, Giardina KD, Gibson DR, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl AE, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Gould DW, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson AM, Gretarsson EM, Griffith D, Griffiths W, Griggs HL, Grignani G, Grimaldi A, Grimm SJ, Grote H, Grunewald S, Gruning P, Guerra D, Guidi GM, Guimaraes AR, Guixé G, Gulati HK, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Guzman F, Haegel L, Halim O, Hall ED, Hamilton EZ, Hammond G, Haney M, Hanks J, Hanna C, Hannam MD, Hannuksela O, Hansen H, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hartwig D, Haskell B, Hasskew RK, Haster CJ, Haughian K, Hayes FJ, Healy J, Heidmann A, Heidt A, Heintze MC, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell AF, Hemming G, Hendry M, Heng IS, Hennes E, Hennig J, Hennig MH, Hernandez AG, Vivanco FH, Heurs M, Hild S, Hill P, Hines AS, Hochheim S, Hofman D, Hohmann JN, Holcomb DG, Holland NA, Hollows IJ, Holmes ZJ, Holt K, Holz DE, Hopkins P, Hough J, Hourihane S, Howell EJ, Hoy CG, Hoyland D, Hreibi A, Hsu Y, Huang Y, Hübner MT, Huddart AD, Hughey B, Hui V, Husa S, Huttner SH, Huxford R, Huynh-Dinh T, Idzkowski B, Iess A, Ingram C, Isi M, Isleif K, Iyer BR, JaberianHamedan V, Jacqmin T, Jadhav SJ, Jadhav SP, James AL, Jan AZ, Jani K, Janquart J, Janssens K, Janthalur NN, Jaranowski P, Jariwala D, Jaume R, Jenkins AC, Jenner K, Jeunon M, Jia W, Johns GR, Jones AW, Jones DI, Jones JD, Jones P, Jones R, Jonker RJG, Ju L, Junker J, Juste V, Kalaghatgi CV, Kalogera V, Kamai B, Kandhasamy S, Kang G, Kanner JB, Kao Y, Kapadia SJ, Kapasi DP, Karat S, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kéfélian F, Keitel D, Key JS, Khadka S, Khalili FY, Khan S, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim JC, Kim K, Kim WS, Kim YM, Kimball C, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kleybolte L, Klimenko S, Knee AM, Knowles TD, Knyazev E, Koch P, Koekoek G, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kontos A, Koper N, Korobko M, Kovalam M, Kozak DB, Kringel V, Krishnendu NV, Królak A, Kuehn G, Kuei F, Kuijer P, Kumar A, Kumar P, Kumar R, Kumar R, Kuns K, Kuwahara S, Lagabbe P, Laghi D, Lalande E, Lam TL, Lamberts A, Landry M, Lane BB, Lang RN, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee HM, Lee HW, Lee J, Lee K, Lehmann J, Lemaître A, Leroy N, Letendre N, Levesque C, Levin Y, Leviton JN, Leyde K, Li AKY, Li B, Li J, Li TGF, Li X, Linde F, Linker SD, Linley JN, Littenberg TB, Liu J, Liu K, Liu X, Llamas F, Llorens-Monteagudo M, Lo RKL, Lockwood A, London LT, Longo A, Lopez D, Portilla ML, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lott TP, Lough JD, Lousto CO, Lovelace G, Lucaccioni JF, Lück H, Lumaca D, Lundgren AP, Lynam JE, Macas R, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Hernandez IM, Magazzù C, Magee RM, Maggiore R, Magnozzi M, Mahesh S, Majorana E, Makarem C, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango JL, Mansell GL, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez M, Martinez VA, Martinez V, Martinovic K, Martynov DV, Marx EJ, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy PK, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Meijer Q, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Middleton H, Milano L, Miller A, Miller AL, Miller B, Millhouse M, Mills JC, Milotti E, Minazzoli O, Minenkov Y, Mir LM, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Mo G, Moguel E, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Morisaki S, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Muusse S, Nadji SL, Nagar A, Napolano V, Nardecchia I, Naticchioni L, Nayak B, Nayak RK, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neubauer P, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nichols SA, Nissanke S, Nitoglia E, Nocera F, Norman M, North C, Nuttall LK, Oberling J, O'Brien BD, O'Dell J, Oelker E, Oganesyan G, Oh JJ, Oh SH, Ohme F, Ohta H, Okada MA, Olivetto C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Ossokine S, Osthelder C, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan H, Panda PK, Pang PTH, Pankow C, Pannarale F, Pant BC, Panther FH, Paoletti F, Paoli A, Paolone A, Park H, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Pathak M, Patricelli B, Patron AS, Paul S, Payne E, Pedraza M, Pegoraro M, Pele A, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perkins CC, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pillas M, Pilo F, Pinard L, Pinto IM, Pinto M, Piotrzkowski K, Pirello M, Pitkin MD, Placidi E, Planas L, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Poulton R, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ray A, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reid SW, Reitze DH, Relton P, Renzini A, Rettegno P, Rezac M, Ricci F, Richards D, Richardson JW, Richardson L, Riemenschneider G, Riles K, Rinaldi S, Rink K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rodriguez S, Rolland L, Rollins JG, Romanelli M, Romano R, Romel CL, Romero-Rodríguez A, Romero-Shaw IM, Romie JH, Ronchini S, Rosa L, Rose CA, Rosińska D, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sakellariadou M, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sathyaprakash BS, Sauter O, Savage RL, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schiworski M, Schmidt P, Schmidt S, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Sellers D, Sengupta AS, Sentenac D, Seo EG, Sequino V, Sergeev A, Setyawati Y, Shaffer T, Shahriar MS, Shams B, Sharma A, Sharma P, Shawhan P, Shcheblanov NS, 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RL, Warner J, Was M, Washington NY, Watchi J, Weaver B, Webster SA, Weinert M, Weinstein AJ, Weiss R, Weller CM, Wellmann F, Wen L, Weßels P, Wette K, Whelan JT, White DD, Whiting BF, Whittle C, Wilken D, Williams D, Williams MJ, Williamson AR, Willis JL, Willke B, Wilson DJ, Winkler W, Wipf CC, Wlodarczyk T, Woan G, Woehler J, Wofford JK, Wong ICF, Wu DS, Wysocki DM, Xiao L, Yamamoto H, Yang FW, Yang L, Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yoo J, Yu H, Yu H, Zadrożny A, Zanolin M, Zelenova T, Zendri JP, Zevin M, Zhang J, Zhang L, Zhang T, Zhang Y, Zhao C, Zhao G, Zhao Y, Zhou R, Zhou Z, Zhu XJ, Zimmerman AB, Zucker ME, Zweizig J, Jeong D, Shandera S. Search for Subsolar-Mass Binaries in the First Half of Advanced LIGO's and Advanced Virgo's Third Observing Run. PHYSICAL REVIEW LETTERS 2022; 129:061104. [PMID: 36018635 DOI: 10.1103/physrevlett.129.061104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 03/18/2022] [Accepted: 06/07/2022] [Indexed: 06/15/2023]
Abstract
We report on a search for compact binary coalescences where at least one binary component has a mass between 0.2 M_{⊙} and 1.0 M_{⊙} in Advanced LIGO and Advanced Virgo data collected between 1 April 2019 1500 UTC and 1 October 2019 1500 UTC. We extend our previous analyses in two main ways: we include data from the Virgo detector and we allow for more unequal mass systems, with mass ratio q≥0.1. We do not report any gravitational-wave candidates. The most significant trigger has a false alarm rate of 0.14 yr^{-1}. This implies an upper limit on the merger rate of subsolar binaries in the range [220-24200] Gpc^{-3} yr^{-1}, depending on the chirp mass of the binary. We use this upper limit to derive astrophysical constraints on two phenomenological models that could produce subsolar-mass compact objects. One is an isotropic distribution of equal-mass primordial black holes. Using this model, we find that the fraction of dark matter in primordial black holes in the mass range 0.2 M_{⊙}<m_{PBH}<1.0 M_{⊙} is f_{PBH}≡Ω_{PBH}/Ω_{DM}≲6%. This improves existing constraints on primordial black hole abundance by a factor of ∼3. The other is a dissipative dark matter model, in which fermionic dark matter can collapse and form black holes. The upper limit on the fraction of dark matter black holes depends on the minimum mass of the black holes that can be formed: the most constraining result is obtained at M_{min}=1 M_{⊙}, where f_{DBH}≡Ω_{DBH}/Ω_{DM}≲0.003%. These are the first constraints placed on dissipative dark models by subsolar-mass analyses.
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Abbott R, Abbott T, Acernese F, Ackley K, Adams C, Adhikari N, Adhikari R, Adya V, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar O, Aiello L, Ain A, Ajith P, Akutsu T, Albanesi S, Allocca A, Altin P, Amato A, Anand C, Anand S, Ananyeva A, Anderson S, Anderson W, Ando M, Andrade T, Andres N, Andrić T, Angelova S, Ansoldi S, Antelis J, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya M, Areeda J, Arène M, Aritomi N, Arnaud N, Aronson S, Arun K, Asada H, Asali Y, Ashton G, Aso Y, Assiduo M, Aston S, Astone P, Aubin F, Austin C, Babak S, Badaracco F, Bader M, Badger C, Bae S, Bae Y, Baer A, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer S, Balsamo A, Baltus G, Banagiri S, Bankar D, Barayoga J, Barbieri C, Barish B, Barker D, Barneo P, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton M, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley J, Baylor A, Bazzan M, Bécsy B, Bedakihale V, Bejger M, Belahcene I, Benedetto V, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry C, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Beniwal D, Mukherjee S, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz E, Murray P, Musenich R, Muusse S, Bennett T, Nadji S, Nagano K, Nagano S, Nagar A, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Napolano V, Bentley J, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak R, Negishi R, Neil B, Neilson J, Nelemans G, Nelson T, BenYaala M, Nery M, Neubauer P, Neunzert A, Ng K, Ng S, Nguyen C, Nguyen P, Nguyen T, Quynh LN, Ni WT, Bergamin F, Nichols S, Nishizawa A, Nissanke S, Nitoglia E, Nocera F, Norman M, North C, Nozaki S, Nuttall L, Oberling J, Berger B, O’Brien B, Obuchi Y, O’Dell J, Oelker E, Ogaki W, Oganesyan G, Oh J, Oh K, Oh S, Ohashi M, Bernuzzi S, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada M, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Bersanetti D, Oram R, O’Reilly B, Ormiston R, Ormsby N, Ortega L, 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V, Mangano V, Mango J, Mansell G, Manske M, Mantovani M, Mapelli M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan A, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin I, Martin R, Martinez M, Martinez V, Martinez V, Martinovic K, Martynov D, Marx E, Masalehdan H, Mason K, Massera E, Masserot A, Massinger T, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann J, McCarthy R, McClelland D, McClincy P, McCormick S, McCuller L, McGhee G, McGuire S, McIsaac C, McIver J, McRae T, McWilliams S, Meacher D, Mehmet M, Mehta A, Meijer Q, Melatos A, Melchor D, Mendell G, Menendez-Vazquez A, Menoni C, Mercer R, Mereni L, Merfeld K, Merilh E, Merritt J, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers P, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller A, Miller A, Miller B, Millhouse M, Mills J, Milotti E, Minazzoli O, Minenkov Y, Mio N, Mir L, Miravet-Tenés M, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov V, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Moguel E, Mogushi K, Mohapatra S, Mohite S, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore C, Moraru D, Morawski F, More A, Moreno C. All-sky, all-frequency directional search for persistent gravitational waves from Advanced LIGO’s and Advanced Virgo’s first three observing runs. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.105.122001] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Waddington J, Zhou R, Coleman O, Wundervald B, Parnell A, Mease PJ, Chandran V, Fallon L, Chapman D, Pollock R, Deng S, Fitzgerald O, Pennington S. POS1045 MASS SPECTROMETRY-BASED PROTEOMICS FOR THE IDENTIFICATION OF CANDIDATE SERUM PROTEIN BIOMARKERS THAT MAY PREDICT TREATMENT RESPONSE IN PATIENTS WITH PSORIATIC ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.2091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) has identified a need for biomarkers to predict which patients (pts) with psoriatic arthritis (PsA) are most likely to respond to a specific therapy. Failure to identify effective treatments early on results in sub-optimal PsA disease management. Tofacitinib is an oral JAK inhibitor for the treatment of PsA. The efficacy and safety of tofacitinib 5 and 10 mg twice daily (BID) in pts with PsA have been demonstrated.1,2ObjectivesTo identify protein biomarker candidates, which may identify responders (R) vs non-responders (NR) to treatment of PsA, using mass spectrometry-based proteomics.MethodsBaseline (BL) serum samples from pts with PsA receiving tofacitinib 5 or 10 mg BID, adalimumab or placebo in OPAL Broaden (NCT01877668)1 were analysed. Pts were identified as R and NR based on the Psoriatic Arthritis Disease Activity Score (PASDAS) at Month 3; pts with lowest PASDAS ≤3.2 were defined as R, those with highest PASDAS >3.2 as NR. Two proteomic strategies were employed for analysis of BL serum samples: (1) targeted mass spectrometric multiple reaction monitoring analysis of an in-house panel (‘PAPRICA’) comprising of 206 proteins, originally developed to distinguish between different arthropathies, and (2) unbiased discovery liquid chromatography-tandem mass spectrometry (LC-MS/MS). PAPRICA data were normalised using two methods: normalisation to stable isotopically labelled peptide spike-ins (SIL; corrects for fluctuations in sample injections/mass spectrometry loading amounts), and normalisation to an endogenous peptide panel representing total serum protein abundance (TSPA; corrects for different amounts of total serum protein across samples). Univariate analyses (Student’s t-test) and multivariate machine learning Random Forest (RF) modelling3 were performed. Univariate analysis of the PAPRICA panel of proteins was performed on R vs NR, and within each treatment arm, with no adjustment for multiplicity.Results96 pts were identified as 47 R and 49 NR based on PASDAS scores. Of pts receiving tofacitinib 5 or 10 mg BID (data pooled), adalimumab or placebo, there were 26 R vs 26 NR, 13 R vs 13 NR and 8 R vs 10 NR, respectively. Results from univariate analysis identified 110 differentially expressed PAPRICA peptides between R vs NR (p≤0.05). RF multivariate analysis of all data (n=96) revealed a set of PAPRICA peptide signatures with the ability to differentiate between R and NR. Two RF models generated from the PAPRICA peptide data had training area under curves (AUCs) 0.956 [95% CI 0.93, 0.99] (TSPA) and 0.959 [95% CI 0.94, 0.98] (SIL). In total, 115 PAPRICA peptides representing 87 proteins were identified as potential biomarkers for predicting treatment response. Using unbiased discovery LC-MS/MS, univariate analysis of all data revealed one candidate peptide biomarker (p≤0.05). RF modelling revealed peptides that contributed to two prediction models with training AUCs of 0.903 [95% CI 0.86, 0.96] and 0.928 [95% CI 0.89, 0.96]. In total, from unbiased discovery LC-MS/MS, 66 peptides representing 39 proteins that may act as potential peptide biomarkers were identified in univariate and multivariate analyses.ConclusionUsing two complementary proteomic approaches and a combination of univariate and machine learning models, a total of 181 candidate biomarker peptides corresponding to 106 proteins have been identified that may act as potential biomarkers for predicting response to treatment of PsA. Further study is required to verify and evaluate these candidate biomarkers, and we will report how these proteins map to biological processes, pathways and networks.References[1]Mease et al. N Engl J Med 2017; 377: 1537-1550.[2]Gladman et al. N Engl J Med 2017; 377: 1525-1536.[3]Breiman. Machine Learning 2001; 45: 5-32.AcknowledgementsStudy sponsored by Pfizer Inc. Medical writing support was provided by Lauren Hogarth, CMC Connect, and funded by Pfizer Inc.Disclosure of InterestsJames Waddington Employee of: Atturos, Ruoyi Zhou Employee of: Atturos, Orla Coleman Employee of: Atturos, Bruna Wundervald Employee of: Atturos, Andrew Parnell: None declared, Philip J Mease Speakers bureau: AbbVie, Amgen, Janssen, Novartis, Pfizer Inc and UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, CorEvitas, Eli Lilly, Galapagos, Gilead Sciences, GlaxoSmithKline, Janssen, Merck, Novartis, Pfizer Inc, Sun Pharma and UCB, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer Inc, Sun Pharma and UCB, Vinod Chandran Consultant of: AbbVie, Amgen, BMS, Eli Lilly, Janssen, Novartis, Pfizer Inc and UCB, Grant/research support from: AbbVie, Amgen, Eli Lilly, Lara Fallon Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Douglass Chapman Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Remy Pollock Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Shibing Deng Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Oliver FitzGerald Shareholder of: Atturos, Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer Inc and UCB, Employee of: University College Dublin, Stephen Pennington Shareholder of: Atturos, Employee of: University College Dublin
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Meng X, Duan X, Zhang L, Zhang D, Yang P, Qin H, Zhang Y, Xiao S, Duan L, Zhou R. Long-Chain Alkane Dehydrogenation over Hierarchically Porous Ti-Doped Pt–Sn–K/TiO2–Al2O3 Catalysts. KINETICS AND CATALYSIS 2022. [DOI: 10.1134/s0023158422020070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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He YJ, Wang YQ, Dai YB, Zhou R, Lu Q, Liu GL, Wang JL. [Clinical outcomes analysis of fertility-preserving therapy for atypical endometrial hyperplasia and early endometrial carcinoma]. ZHONGHUA ZHONG LIU ZA ZHI [CHINESE JOURNAL OF ONCOLOGY] 2022; 44:291-296. [PMID: 35316880 DOI: 10.3760/cma.j.cn112152-20201014-00897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To analyze the clinical efficacy of fertility-preserving therapy in patients with atypical endometrial hyperplasia (AEH) and early endometrial carcinoma (EC). Methods: The general condition, pathological type, treatment plan, tumor outcomes and pregnancy outcomes of 110 patients with AEH and EC treated with fertility-preserving therapy in Peking University People's Hospital from December 2005 to September 2019 were retrospectively analyzed. Kaplan-Meier and Log rank tests were used for survival analysis. Results: The response rate of 110 cases of AEH (62 cases) and EC (48 cases) was 94.5% (104/110) after fertility-preserving therapy. There were 93 cases (84.5%) achieved complete response and 11 cases (10.0%) achieved partial response, and the recurrence rate was 29.0% (27/93). The complete response rates of AEH and EC were 90.3% (56/62) and 77.1% (37/48), respectively, without significant difference (P=0.057). The recurrence rates of EC were significantly higher than that of AEH (40.5% vs 21.4%; P=0.022). Forty-one patients with complete response had pregnancy intention, the pregnancy rate was 70.7% (29/41), and the live birth rate was 56.1% (23/41). The live birth rate of AEH was 68.2% (15/22) and that of EC was 42.1% (8/19), the difference was statistically significant (P=0.032). The pathological type was related with the recurrence (P=0.044). Conclusions: Patients with AEH and EC can obtain high complete response rate and pregnancy rate after fertility-preserving therapy. The recurrence rate of EC is higher than that of AEH, while the live birth rate of AEH is higher than that of EC.
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Ding H, Yue Q, Chang L, Xi J, Chen H, Li F, Wang D, Zhou R. Corrigendum to Whole blood gas and biochemical reference intervals for Lohmann Silver layers [Poultry Science, Volume 100, Issue 9, September 2021, 101368]. Poult Sci 2022; 101:101772. [PMID: 35256162 PMCID: PMC9023894 DOI: 10.1016/j.psj.2022.101772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Yu SS, Ma MY, Zhou R, Liang R, Duan Z, Wang J, Tian Y, Jiang J, He X, Zhou Q. Methotrexate/mifepristone-combined with embryo removal in the treatment of caesarean scar pregnancy. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2022; 26:1984-1993. [PMID: 35363349 DOI: 10.26355/eurrev_202203_28347] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to compare the effect of different administration modalities of methotrexate (MTX)/mifepristone in the initial medication stage, followed by embryo transfer in the treatment of caesarean scar pregnancy (CSP). PATIENTS AND METHODS A retrospective analysis of 66 CSP patients who received treatment in our hospital from January 2015 to July 2021 was performed, and participants were divided into three groups: Group one (n=14) received mifepristone followed by embryo removal treatment, Group two (n=29) received MTX followed by embryo removal, and Group three (n=23) received a methotrexate/mifepristone combined treatment followed by embryo removal. The basic findings were analysed, along with the curative effects between the three groups. Risk factors predicting additional treatment after initial intervention failure were analysed. RESULTS There were statistically significant differences in gestational age, hospitalization days, costs, myometrial thickness, cardiac activity, and mean sac diameter between groups (p<0.05) after grouping by eight weeks. The initial intervention success rates were 92.86%, 89.66%, and 65.22% in Group one, two, and three, respectively (p<0.05), while the complication rates were 14.29%, 6.90%, and 26.87%, respectively (p>0.05). After grouping according to eight weeks of gestational age, the difference in initial serum β-hCG between Group two and three was statistically significant (p<0.05). Mean sac diameter was a risk factor for additional treatment after initial intervention failure, with an odds ratio of 1.113 (p<0.05). A cut-off of 22.75 mm was a preferable indicator. CONCLUSIONS MTX/mifepristone followed by embryo removal is a reliable way to treat CSP. Mean sac diameter was a risk factor for additional treatment after initial intervention failure.
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Cao Z, Aharonian F, An Q, Bai LX, Bai YX, Bao YW, Bastieri D, Bi XJ, Bi YJ, Cai H, Cai JT, Cao Z, Chang J, Chang JF, Chen BM, Chen ES, Chen J, Chen L, Chen L, Chen L, Chen MJ, Chen ML, Chen QH, Chen SH, Chen SZ, Chen TL, Chen XL, Chen Y, Cheng N, Cheng YD, Cui SW, Cui XH, Cui YD, Piazzoli BD, Dai BZ, Dai HL, Dai ZG, Della Volpe D, Dong XJ, Duan KK, Fan JH, Fan YZ, Fan ZX, Fang J, Fang K, Feng CF, Feng L, Feng SH, Feng YL, Gao B, Gao CD, Gao LQ, Gao Q, Gao W, Ge MM, Geng LS, Gong GH, Gou QB, Gu MH, Guo FL, Guo JG, Guo XL, Guo YQ, Guo YY, Han YA, He HH, He HN, He JC, He SL, He XB, He Y, Heller M, Hor YK, Hou C, Hou X, Hu HB, Hu S, Hu SC, Hu XJ, Huang DH, Huang QL, Huang WH, Huang XT, Huang XY, Huang ZC, Ji F, Ji XL, Jia HY, Jiang K, Jiang ZJ, Jin C, Ke T, Kuleshov D, Levochkin K, Li BB, Li C, Li C, Li F, Li HB, Li HC, Li HY, Li J, Li J, Li K, Li WL, Li XR, Li X, Li X, Li Y, Li YZ, Li Z, Li Z, Liang EW, Liang YF, Lin SJ, Liu B, Liu C, Liu D, Liu H, Liu HD, Liu J, Liu JL, Liu JS, Liu JY, Liu MY, Liu RY, Liu SM, Liu W, Liu Y, Liu YN, Liu ZX, Long WJ, Lu R, Lv HK, Ma BQ, Ma LL, Ma XH, Mao JR, Masood A, Min Z, Mitthumsiri W, Montaruli T, Nan YC, Pang BY, Pattarakijwanich P, Pei ZY, Qi MY, Qi YQ, Qiao BQ, Qin JJ, Ruffolo D, Rulev V, Sáiz A, Shao L, Shchegolev O, Sheng XD, Shi JR, Song HC, Stenkin YV, Stepanov V, Su Y, Sun QN, Sun XN, Sun ZB, Tam PHT, Tang ZB, Tian WW, Wang BD, Wang C, Wang H, Wang HG, Wang JC, Wang JS, Wang LP, Wang LY, Wang RN, Wang W, Wang W, Wang XG, Wang XJ, Wang XY, Wang Y, Wang YD, Wang YJ, Wang YP, Wang ZH, Wang ZX, Wang Z, Wang Z, Wei DM, Wei JJ, Wei YJ, Wen T, Wu CY, Wu HR, Wu S, Wu WX, Wu XF, Xi SQ, Xia J, Xia JJ, Xiang GM, Xiao DX, Xiao G, Xiao HB, Xin GG, Xin YL, Xing Y, Xu DL, Xu RX, Xue L, Yan DH, Yan JZ, Yang CW, Yang FF, Yang JY, Yang LL, Yang MJ, Yang RZ, Yang SB, Yao YH, Yao ZG, Ye YM, Yin LQ, Yin N, You XH, You ZY, Yu YH, Yuan Q, Zeng HD, Zeng TX, Zeng W, Zeng ZK, Zha M, Zhai XX, Zhang BB, Zhang HM, Zhang HY, Zhang JL, Zhang JW, Zhang LX, Zhang L, Zhang L, Zhang PF, Zhang PP, Zhang R, Zhang SR, Zhang SS, Zhang X, Zhang XP, Zhang YF, Zhang YL, Zhang Y, Zhang Y, Zhao B, Zhao J, Zhao L, Zhao LZ, Zhao SP, Zheng F, Zheng Y, Zhou B, Zhou H, Zhou JN, Zhou P, Zhou R, Zhou XX, Zhu CG, Zhu FR, Zhu H, Zhu KJ, Zuo X. Exploring Lorentz Invariance Violation from Ultrahigh-Energy γ Rays Observed by LHAASO. PHYSICAL REVIEW LETTERS 2022; 128:051102. [PMID: 35179919 DOI: 10.1103/physrevlett.128.051102] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 12/06/2021] [Accepted: 12/24/2021] [Indexed: 06/14/2023]
Abstract
Recently, the LHAASO Collaboration published the detection of 12 ultrahigh-energy γ-ray sources above 100 TeV, with the highest energy photon reaching 1.4 PeV. The first detection of PeV γ rays from astrophysical sources may provide a very sensitive probe of the effect of the Lorentz invariance violation (LIV), which results in decay of high-energy γ rays in the superluminal scenario and hence a sharp cutoff of the energy spectrum. Two highest energy sources are studied in this work. No signature of the existence of the LIV is found in their energy spectra, and the lower limits on the LIV energy scale are derived. Our results show that the first-order LIV energy scale should be higher than about 10^{5} times the Planck scale M_{Pl} and that the second-order LIV scale is >10^{-3}M_{Pl}. Both limits improve by at least one order of magnitude the previous results.
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Gong Z, Da W, Tian Y, Zhao R, Qiu S, Wu Q, Wen K, Shen L, Zhou R, Tao L, Zhu Y. Exogenous melatonin prevents type 1 diabetes mellitus-induced bone loss, probably by inhibiting senescence. Osteoporos Int 2022; 33:453-466. [PMID: 34519833 PMCID: PMC8813725 DOI: 10.1007/s00198-021-06061-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 06/30/2021] [Indexed: 12/31/2022]
Abstract
UNLABELLED Exogenous melatonin inhibited the senescence of preosteoblast cells in type 1 diabetic (T1D) mice and those cultured in high glucose (HG) by multiple regulations. Exogenous melatonin had a protective effect on diabetic osteoporosis, which may depend on the inhibition of senescence. INTRODUCTION Senescence is thought to play an important role in the pathophysiological mechanisms underlying diabetic bone loss. Increasing evidence has shown that melatonin exerts anti-senescence effects. In this study, we investigated whether melatonin can inhibit senescence and prevent diabetic bone loss. METHODS C57BL/6 mice received a single intraperitoneal injection of 160 mg/kg streptozotocin, followed by the oral administration of melatonin or vehicle for 2 months. Then, tissues were harvested and subsequently examined. MC3T3-E1 cells were cultured under HG conditions for 7 days and then treated with melatonin or not for 24 h. Sirt1-specific siRNAs and MT1- or MT2-specific shRNA plasmids were transfected into MC3T3-E1 cells for mechanistic study. RESULTS The total protein extracted from mouse femurs revealed that melatonin prevented senescence in T1D mice. The micro-CT results indicated that melatonin prevented bone loss in T1D mice. Cellular experiments indicated that melatonin administration prevented HG-induced senescence, whereas knockdown of the melatonin receptors MT1 or MT2 abolished these effects. Sirt1 expression was upregulated by melatonin administration but significantly reduced after MT1 or MT2 was knocked down. Knockdown of Sirt1 blocked the anti-senescence effects of melatonin. Additionally, melatonin promoted the expression of CDK2, CDK4, and CyclinD1, while knockdown of MT1 or MT2 abolished these effects. Furthermore, melatonin increased the expression of the polycomb repressive complex (PRC), but knockdown of MT1 or MT2 abolished these effects. Furthermore, melatonin increased the protein levels of Sirt1, PRC1/2 complex-, and cell cycle-related proteins. CONCLUSION This work shows that melatonin protects against T1D-induced bone loss, probably by inhibiting senescence. Targeting senescence in the investigation of diabetic osteoporosis may lead to novel discoveries.
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WU P, Wei Q, Shu T, Li S, Zhou R, Li M, Mao Z, Gao Z. POS-274 Deletion of Kir4.1 prevents salt-sensitive hypertension in streptozotocin-induced diabetic mice via sodium-chloride cotransporter in the distal convoluted tubule. Kidney Int Rep 2022. [DOI: 10.1016/j.ekir.2022.01.293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Ding L, Zhou R, Yuan Y, Yang H, Li J, Yu T, Liu C, Wang J, Li S, Gao H, Deng Z, Li N, Wang Z, Gong Z, Liu G, Xie J, Wang S, Rong Z, Deng D, Wang X, Han S, Wan W, Richter L, Huang L, Gou S, Liu Z, Yu H, Jia Y, Chen B, Dang Z, Zhang K, Li L, He X, Liu S, Di K. A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover. Sci Robot 2022; 7:eabj6660. [PMID: 35044796 DOI: 10.1126/scirobotics.abj6660] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
The lunar nearside has been investigated by many uncrewed and crewed missions, but the farside of the Moon remains poorly known. Lunar farside exploration is challenging because maneuvering rovers with efficient locomotion in harsh extraterrestrial environment is necessary to explore geological characteristics of scientific interest. Chang'E-4 mission successfully targeted the Moon's farside and deployed a teleoperated rover (Yutu-2) to explore inside the Von Kármán crater, conveying rich information regarding regolith, craters, and rocks. Here, we report mobile exploration on the lunar farside with Yutu-2 over the initial 2 years. During its journey, Yutu-2 has experienced varying degrees of mild slip and skid, indicating that the terrain is relatively flat at large scales but scattered with local gentle slopes. Cloddy soil sticking on its wheels implies a greater cohesion of the lunar soil than encountered at other lunar landing sites. Further identification results indicate that the regolith resembles dry sand and sandy loam on Earth in bearing properties, demonstrating greater bearing strength than that identified during the Apollo missions. In sharp contrast to the sparsity of rocks along the traverse route, small fresh craters with unilateral moldable ejecta are abundant, and some of them contain high-reflectance materials at the bottom, suggestive of secondary impact events. These findings hint at notable differences in the surface geology between the lunar farside and nearside. Experience gained with Yutu-2 improves the understanding of the farside of the Moon, which, in return, may lead to locomotion with improved efficiency and larger range.
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Lyu X, Zhang WY, Zhang JX, Wei YQ, Guo XL, Cui SH, Yan JY, Zhang XY, Qiao C, Zhou R, Gu WR, Chen XX, Yang Z, Li XT, Lin JH. [Comparative analysis of high risk factors between early-onset pre-eclampsia and late-onset pre-eclampsia]. ZHONGHUA FU CHAN KE ZA ZHI 2021; 56:760-766. [PMID: 34823288 DOI: 10.3760/cma.j.cn112141-20210330-00164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore the difference of high-risk factors between early-onset and late-onset pre-eclampsia, and to further understand high-risk factors of pre-eclampsia. Methods: Clinical data of pre-eclampsia pregnant women in 160 medical institutions in China in 2018 were retrospectively analyzed, including 8 031 cases of early-onset pre-eclampsia and 12 969 cases of late-onset pre-eclampsia. The proportion of high-risk factors, different body mass index (BMI) and age stratification between early-onset group and late-onset group were compared. Results: (1) Univariate analysis of high-risk factors: the proportions of high-risk factors in early-onset group and late-onset group were compared, and the differences were statistically significant (all P<0.05). Among them, the proportions of primipara and multiple pregnancy in early-onset group were lower than those in late-onset group, while the proportions of pregnant women with advanced age, irregular antenatal examination, obesity, family history of hypertension, pre-eclampsia, diabetes, kidney diseases, immune system diseases and assisted reproductive technology were higher than those in late-onset group. (2) Hierarchical analysis of BMI: the proportion of pregnant women with BMI≥24 kg/m2 in early-onset group [48.2% (2 828/5 872) vs 45.5% (4 177/9 181), respectively; P=0.001] and the proportion of pregnant women with BMI ≥28 kg/m2 in early-onset group [19.5% (1 143/5 872) vs 18.0% (1 656/9 181), respectively; P=0.028] were significantly higher than those in late-onset group. (3) Age stratification analysis: the proportion of pregnant women aged 35-39 years in the early-onset group [21.8% (1 748/8 023) vs 17.5% (2 110/12 068), respectively; P<0.01], the proportion of pregnant women 40-44 years old [6.8% (544/8 023) vs 5.4% (648/12 068), respectively; P<0.01], and the proportion of pregnant women ≥45 years old [0.7% (58/8 023) vs 0.5% (57/12 068), respectively; P=0.021] were significantly higher than those in the late-onset group. (4) Multivariate analysis: advanced age (≥35 years old), multiple pregnancy, irregular antenatal examination or transfer from other hospitals, family history of hypertension (including paternal, maternal and parental lines), previous history of pre-eclampsia, kidney diseases, immune system diseases (systemic lupus erythematosus, antiphospholipid antibody syndrome) and assisted reproductive technology pregnancy were the risk factors affecting the severity of pre-eclampsia (all P<0.05). Conclusion: Pregnant women with high risk factors such as age ≥35 years old, BMI ≥24 kg/m2 before pregnancy, family history of hypertension, history of pre-eclampsia, chronic kidney diseases, immune diseases (mainly including systemic lupus erythematosus and antiphospholipid syndrome) and assisted reproductive technology are more likely to have early-onset pre-eclampsia.
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