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Liu H, Duan J, Zeng P, Shi M, Zeng J, Chen S, Gong Z, Chen Z, Qin J, Chen Z. Intelligently Quantifying the Entire Irregular Dental Structure. J Dent Res 2024; 103:378-387. [PMID: 38372132 DOI: 10.1177/00220345241226871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/20/2024] Open
Abstract
Quantitative analysis of irregular anatomical structures is crucial in oral medicine, but clinicians often typically measure only several representative indicators within the structure as references. Deep learning semantic segmentation offers the potential for entire quantitative analysis. However, challenges persist, including segmentation difficulties due to unclear boundaries and acquiring measurement landmarks for clinical needs in entire quantitative analysis. Taking the palatal alveolar bone as an example, we proposed an artificial intelligence measurement tool for the entire quantitative analysis of irregular dental structures. To expand the applicability, we have included lightweight networks with fewer parameters and lower computational demands. Our approach finally used the lightweight model LU-Net, addressing segmentation challenges caused by unclear boundaries through a compensation module. Additional enamel segmentation was conducted to establish a measurement coordinate system. Ultimately, we presented the entire quantitative information within the structure in a manner that meets clinical needs. The tool achieved excellent segmentation results, manifested by high Dice coefficients (0.934 and 0.949), intersection over union (0.888 and 0.907), and area under the curve (0.943 and 0.949) for palatal alveolar bone and enamel in the test set. In subsequent measurements, the tool visualizes the quantitative information within the target structure by scatter plots. When comparing the measurements against representative indicators, the tool's measurement results show no statistically significant difference from the ground truth, with small mean absolute error, root mean squared error, and errors interval. Bland-Altman plots and intraclass correlation coefficients indicate the satisfactory agreement compared with manual measurements. We proposed a novel intelligent approach to address the entire quantitative analysis of irregular image structures in the clinical setting. This contributes to enabling clinicians to swiftly and comprehensively grasp structural features, facilitating the design of more personalized treatment plans for different patients, enhancing clinical efficiency and treatment success rates in turn.
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Chen S, Peng LC, Guo YP, Gu XM, Ding X, Liu RZ, Zhao JY, You X, Qin J, Wang YF, He YM, Renema JJ, Huo YH, Wang H, Lu CY, Pan JW. Heralded Three-Photon Entanglement from a Single-Photon Source on a Photonic Chip. PHYSICAL REVIEW LETTERS 2024; 132:130603. [PMID: 38613293 DOI: 10.1103/physrevlett.132.130603] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 02/22/2024] [Indexed: 04/14/2024]
Abstract
In the quest to build general-purpose photonic quantum computers, fusion-based quantum computation has risen to prominence as a promising strategy. This model allows a ballistic construction of large cluster states which are universal for quantum computation, in a scalable and loss-tolerant way without feed forward, by fusing many small n-photon entangled resource states. However, a key obstacle to this architecture lies in efficiently generating the required essential resource states on photonic chips. One such critical seed state that has not yet been achieved is the heralded three-photon Greenberger-Horne-Zeilinger (3-GHZ) state. Here, we address this elementary resource gap, by reporting the first experimental realization of a heralded 3-GHZ state. Our implementation employs a low-loss and fully programmable photonic chip that manipulates six indistinguishable single photons of wavelengths in the telecommunication regime. Conditional on the heralding detection, we obtain the desired 3-GHZ state with a fidelity 0.573±0.024. Our Letter marks an important step for the future fault-tolerant photonic quantum computing, leading to the acceleration of building a large-scale optical quantum computer.
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Zhang XJ, Zhao H, Zhang D, Ye DD, Qin J, Zhou YR, Zhang YZ. Blood cell count-derived inflammation indices as predictors of the osteoporotic risk of postmenopausal women. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2024; 28:2207-2216. [PMID: 38567584 DOI: 10.26355/eurrev_202403_35725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
OBJECTIVE We investigated the associations between osteoporosis (OP) and systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), and platelet-to-lymphocyte ratio (PLR) in postmenopausal women. PATIENTS AND METHODS This retrospective study included 966 postmenopausal women. Logistic regression and receiver operating characteristic curve (ROC) analyses were applied to explore the relationships between SII, NLR, MLR, and PLR with the bone mineral density (BMD) and risk of OP. RESULTS Logistic regression analyses showed that SII, PLR, NLR, and MLR had independent negative associations with the OP risk. The ROC curve analysis showed that SII, NLR, and MLR predicted a low BMD, with NLR having the highest predictive value (area under the curve = 0.624). SII > 504.09, PLR > 131.87, NLR > 2.02, and MLR > 0.12 correlated with a particularly high OP risk. CONCLUSIONS High levels of SII, PLR, NLR, and MLR were associated with a high OP risk. In particular, NLR > 2.02 strongly predicted the risk of OP, thereby representing a valuable and convenient inflammatory marker of the OP risk.
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Jiang C, Xu F, Yi D, Jiang B, Wang R, Wu L, Ding H, Qin J, Lee Y, Sang J, Shi X, Su L. Testosterone promotes the migration, invasion and EMT process of papillary thyroid carcinoma by up-regulating Tnnt1. J Endocrinol Invest 2024; 47:149-166. [PMID: 37477865 PMCID: PMC10776714 DOI: 10.1007/s40618-023-02132-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 06/06/2023] [Indexed: 07/22/2023]
Abstract
PURPOSE To explore the key genes and molecular pathways in the progression of thyroid papillary carcinoma (PTC) promoted by testosterone using RNA-sequencing technology, and to provide new drug targets for improving the therapeutic effect of PTC. METHODS Orchiectomy (ORX) was carried out to construct ORX mouse models. TPC-1 cells were subcutaneously injected for PTC formation in mice, and the tumor tissues were collected for RNA-seq. The key genes were screened by bioinformatics technology. Tnnt1 expression in PTC cells was knocked down or overexpressed by transfection. Cell counting kit-8 (CCK-8), colony formation assay, scratch assay and transwell assay were adopted, respectively, for the detection of cell proliferation, colony formation, migration and invasion. Besides, quantification real-time polymerase chain reaction (qRT-PCR) and western blot were utilized to determine the mRNA and protein expression levels of genes in tissues or cells. RESULTS Both estradiol and testosterone promoted the growth of PTC xenografts. The key gene Tnnt1 was screened and obtained by bioinformatics technology. Functional analysis revealed that overexpression of Tnnt1 could markedly promote the proliferation, colony formation, migration, invasion, and epithelial-to-mesenchymal transition (EMT) process of PTC cells, as well as could activate p38/JNK pathway. In addition, si-Tnt1 was able to inhibit the cancer-promoting effect of testosterone. CONCLUSION Based on the outcomes of bioinformatics and basic experiments, it is found that testosterone can promote malignant behaviors such as growth, migration, invasion and EMT process of PTC by up-regulating Tnnt1 expression. In addition, the function of testosterone may be achieved by activating p38/JNK signaling pathway.
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Guo J, Mei ZW, Wang XJ, Li Q, Qin J. Molecular docking and network pharmacological analysis of Scutellaria baicalensis against renal cell carcinoma. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2023; 27:11574-11586. [PMID: 38095405 DOI: 10.26355/eurrev_202312_34596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
OBJECTIVE This paper employs network pharmacology and molecular docking to analyze the active components, targets, and molecular mechanisms of Scutellaria baicalensis in treating renal cell carcinoma (RCC). MATERIALS AND METHODS The potential active target genes and components of Scutellaria baicalensis are obtained by searching the TCMSP database, and RCC targets are obtained using OMIM, Genecards, and Drugbank databases. The interaction of target proteins is analyzed thanks to STRING, and the component target disease network diagram is constructed through Cytoscape 3.8.2 software. Besides, KEGG, and GO enrichment analysis is performed using the Bioconductor bioinformatics R software package. AutoDock Vina 1.1.2, PyMol 2.5 and Maestro 12.9 software are used for molecular docking. RESULTS According to the results, Scutellaria baicalensis, which has 36 active ingredients, 500 drug targets, and 85 drug-disease common targets in the treatment of RCC, relies mainly on active ingredients, including wogonin, baicalein, acacetin, oroxylin A, moslosooflavone, salvigenin, and neobaicalein. In addition, the core components within Scutellaria baicalensis that contribute to the treatment of renal cancer are TP53, CCND1, STAT3, CASP3, JUN, VEGFA, AKT1, and EGFR; while the main molecular mechanisms that helps relieve RCC include PI3K-Akt, Ras, MAPK, p53, VEGF, and JAK-STAT signaling pathway. Molecular docking suggested that wogonin had a good binding affinity with core proteins CASP3, CCND1, JUN, STAT3, TP53, and VEGFA. CONCLUSIONS This study confirms that Scutellaria baicalensis can treat RCC in a multi-component, multi-target, and multi-way manner.
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Wang H, Li T, Xie M, Si J, Qin J, Yang Y, Zhang L, Ding H, Chen X, He L. Association of Computed Tomography Radiomics Signature with Progression-free Survival in Neuroblastoma Patients. Clin Oncol (R Coll Radiol) 2023; 35:e639-e647. [PMID: 37349199 DOI: 10.1016/j.clon.2023.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/22/2023] [Accepted: 06/12/2023] [Indexed: 06/24/2023]
Abstract
AIMS To investigate the association of computed tomography radiomics signature with progression-free survival (PFS) in neuroblastoma patients. MATERIALS AND METHODS We retrospectively included 167 neuroblastoma patients who were divided into a training set and a test set through stratified sampling at a ratio of 7:3. Regions of interest of the primary tumours were delineated on pretreatment contrast-enhanced computed tomography images and radiomics features were extracted from them. The intraclass correlation coefficient, Pearson correlation coefficient, and least absolute shrinkage and selection operator Cox regression algorithm were applied to select radiomics features and construct the radiomics signature. The effectiveness of the signature in predicting PFS was evaluated using the concordance index (C-index) and 95% confidence interval in both the training and the test sets. The time-dependent receiver operator characteristic curve of the radiomics signature was plotted and the area under the curve (AUC) was calculated. A calibration curve was used to assess the difference between the predicted probability of the radiomics signature and the observed probability at different time points. RESULTS The radiomics signature was composed of six features, which achieved a C-index of 0.733 (95% confidence interval 0.664-0.803) in the training set and 0.734 (95% confidence interval 0.608-0.861) in the test set. In the training set, the radiomics signature yielded an AUC of 0.707, 0.737, 0.788, 0.859 and 0.829 for 1-, 2-, 3-, 4- and 5-year PFS, respectively. Similarly, the radiomics signature exhibited an AUC of 0.738, 0.807, 0.761, 0.787 and 0.818 for 1-, 2-, 3-, 4- and 5-year PFS, respectively, in the test set. The calibration curves showed no significant difference between the predicted probability of the radiomics signature and the observed probability for up to 5 years. CONCLUSIONS Computed tomography radiomics features exhibit a significant correlation with the PFS of neuroblastoma patients, particularly in terms of long-term outcomes.
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Zhang XJ, Zhang D, Qin J, Zhou YR, Guo JL, Zhang YZ. Serum CTRP3 concentrations are positively correlated with disease severity in women with postmenopausal osteoporosis: a population-based cross-sectional study. EUROPEAN REVIEW FOR MEDICAL AND PHARMACOLOGICAL SCIENCES 2023; 27:10868-10874. [PMID: 38039016 DOI: 10.26355/eurrev_202311_34454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
OBJECTIVE Osteoporosis is a leading public health problem that contributes to increasingly high rates of osteoporotic vertebral compression fractures among older adults. This study was developed with the goal of assessing serum C1q/TNF-related protein-3 (CTRP3) levels in postmenopausal osteoporosis (PMOP) patients and exploring the correlations between these levels and PMOP severity. PATIENTS AND METHODS A population-based cross-sectional study of old women with osteoporosis was conducted. All women underwent both clinical and dual-energy X-ray absorptiometry examinations. Serum CTRP3, procollagen type I N propeptide (P1NP), and C-terminal telopeptide of type I collagen (CTX-1) concentrations in these patients were measured via ELISA. Bone tumor markers were additionally assessed. Receiver operating characteristic (ROC) analyses were utilized to assess the diagnostic performance of CTRP3 when identifying PMOP. RESULTS This study included 54 PMOP patients, 62 patients with osteopenia, and 60 age-matched patients without PMOP. Serum CTRP3 concentrations in PMOP patients were significantly lower than in the other two groups. Bone mineral density (BMD) was positively correlated with serum CTRP3 levels in all study participants, whereas it was negatively correlated with levels of P1NP and CTX-1. ROC analyses also suggested that reductions in serum CTRP3 levels may offer value as a diagnostic indicator of PMOP. CONCLUSIONS Present data highlight a close relationship between CTRP3 and PMOP, with lower serum CTRP3 levels being closely associated with BMD, such that they may represent a protective marker for PMOP.
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Liu Y, Wang Y, Ma Z, Bao Y, Zhang W, Zhang H, Deng H, Men Y, Zhai Y, Wang X, Liu W, Bi N, Ye F, Men K, Qin J, Xue L, Wang Q, Hui Z. A Machine Learning Method to Predict Pathological Complete Response of Esophageal Cancer after Neoadjuvant Chemoradiotherapy with Clinicohematological Markers and MR Radiomics: A Multi-Center Study. Int J Radiat Oncol Biol Phys 2023; 117:e318. [PMID: 37785139 DOI: 10.1016/j.ijrobp.2023.06.2355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Nearly 30% of patients with local advanced esophageal cancer achieved pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT), who may benefit from organ-preservation strategy under accurate prediction of pCR. We aimed to develop and validate machine learning models based on clinicohematological markers and MR radiomics to accurately predict pCR of esophageal cancer after nCRT. MATERIALS/METHODS In this multi-center study, eligible patients with esophageal cancer who received baseline MR scan (T2-weighted image) and nCRT plus surgery were enrolled between September 2014 and September 2022 at institution 1 (training set) and between December 2017 and August 2021 at institution 2 (testing set). Pre-nCRT and post-nCRT blood test results were collected to calculate hematological markers. Models were constructed by machine learning based on clinicohematological markers and MR radiomics to predict pCR. Area under the curve (AUC) and cut-off analysis were used to evaluate model performances. RESULTS Totally 154 patients (81 in the training set and 73 in the testing set) were enrolled. The combined model integrating pre-nCRT monocyte-to-lymphocyte ratio and 6 radiomics features achieved AUC of 0.800 (95% CI 0.671-0.918) in the testing set, with sensitivity of 79.2% (95% CI 62.5%-95.8%), specificity of 83.7% (95% CI 73.5%-93.9%), positive predictive value of 76.0% (95% CI 62.5%-90.0%), and negative predictive value of 89.6% (95% CI 82.0%-95.8%). CONCLUSION A machine learning model based on clinicohematological markers and MR radiomics to predict pCR after nCRT for patients with esophageal cancer was developed and validated, providing a novel tool for personalized treatment. It is necessary to further validate in more large datasets.
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Yu N, Li J, Chen X, Wang Z, Kang X, Zhang R, Qin J, Zheng Q, Feng G, Deng L, Zhang T, Wang W, Liu W, Wang J, Feng Q, Lv J, Chen D, Zhou Z, Xiao Z, Li Y, Bi N, Li Y, Wang X. Chemoradiotherapy Combined with Nab-Paclitaxel plus Cisplatin in Patients with Locally Advanced Borderline Resectable or Unresectable Esophageal Squamous Cell Carcinoma: A Phase I/II Study. Int J Radiat Oncol Biol Phys 2023; 117:e354. [PMID: 37785224 DOI: 10.1016/j.ijrobp.2023.06.2433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) To evaluate the efficacy and safety of nanoparticle albumin-bound paclitaxel (nab-PTX) plus cisplatin as the regimen of conversional chemoradiotherapy (cCRT) in locally advanced borderline resectable or unresectable esophageal squamous cell carcinoma (ESCC). MATERIALS/METHODS Patients with locally advanced ESCC (cT3-4, Nany, M0-1, M1 was limited to lymph node metastasis in the supraclavicular area) were enrolled. All the patients received the cCRT of nab-PTX plus cisplatin. After the cCRT, those resectable patients received esophagectomy; those unresectable patients continued to receive the definitive chemoradiotherapy (dCRT). The locoregional control (LRC), overall survival (OS), progression-free survival (PFS), distant metastasis free survival (DMFS), pathological complete response (pCR), R0 resection rate and adverse events (AEs) were calculated. RESULTS A total of 45 patients with ESCC treated from October 2019 to May 2021 were finally included. The median follow-up time was 30.3 months. The LRC, OS, EFS, DMFS at 1and 2 years were 81.5%, 86.6%, 64.3%, 73.2% and 72.4%, 68.8%, 44.8%, 52.7% respectively. 21 patients (46.7%) received conversional chemoradiotherapy plus surgery (cCRT+S). The pCR rate and R0 resection rate were 47.6% and 84.0%. The LRC rate at 1 and 2 years were 95.0%, 87.1% in cCRT+S patients and 69.3%, 58.7% in dCRT patients respectively (HR, 5.14; 95% CI, 1.10-23.94; P = 0.021). The OS rate at 1 and 2 years were 95.2% and 84.2% in resectable patients compared to 78.8% and 54.4% in unresectable patients (HR, 3.41; 95% CI, 1.10-10.61; P = 0.024). The toxicities during chemoradiotherapy were tolerated, the most common grade 3-4 toxicities were radiation esophagitis (15.6%). CONCLUSION Nab-PTX plus cisplatin were effective and safe as the regimen of conversional chemoradiotherapy of ESCC. The patients receiving conversional chemoradiotherapy plus surgery (cCRT+S) were prone to have a better survival.
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Mandal S, Qin J, Pfeiffer RM. Non-parametric estimation of the age-at-onset distribution from a cross-sectional sample. Biometrics 2023; 79:1701-1712. [PMID: 36471903 DOI: 10.1111/biom.13804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 09/29/2022] [Accepted: 11/08/2022] [Indexed: 12/12/2022]
Abstract
We propose and study a simple and innovative non-parametric approach to estimate the age-of-onset distribution for a disease from a cross-sectional sample of the population that includes individuals with prevalent disease. First, we estimate the joint distribution of two event times, the age of disease onset and the survival time after disease onset. We accommodate that individuals had to be alive at the time of the study by conditioning on their survival until the age at sampling. We propose a computationally efficient expectation-maximization (EM) algorithm and derive the asymptotic properties of the resulting estimates. From these joint probabilities we then obtain non-parametric estimates of the age-at-onset distribution by marginalizing over the survival time after disease onset to death. The method accommodates categorical covariates and can be used to obtain unbiased estimates of the covariate distribution in the source population. We show in simulations that our method performs well in finite samples even under large amounts of truncation for prevalent cases. We apply the proposed method to data from female participants in the Washington Ashkenazi Study to estimate the age-at-onset distribution of breast cancer associated with carrying BRCA1 or BRCA2 mutations.
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. First Dark Matter Search with Nuclear Recoils from the XENONnT Experiment. PHYSICAL REVIEW LETTERS 2023; 131:041003. [PMID: 37566859 DOI: 10.1103/physrevlett.131.041003] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/22/2023] [Indexed: 08/13/2023]
Abstract
We report on the first search for nuclear recoils from dark matter in the form of weakly interacting massive particles (WIMPs) with the XENONnT experiment, which is based on a two-phase time projection chamber with a sensitive liquid xenon mass of 5.9 ton. During the (1.09±0.03) ton yr exposure used for this search, the intrinsic ^{85}Kr and ^{222}Rn concentrations in the liquid target are reduced to unprecedentedly low levels, giving an electronic recoil background rate of (15.8±1.3) events/ton yr keV in the region of interest. A blind analysis of nuclear recoil events with energies between 3.3 and 60.5 keV finds no significant excess. This leads to a minimum upper limit on the spin-independent WIMP-nucleon cross section of 2.58×10^{-47} cm^{2} for a WIMP mass of 28 GeV/c^{2} at 90% confidence level. Limits for spin-dependent interactions are also provided. Both the limit and the sensitivity for the full range of WIMP masses analyzed here improve on previous results obtained with the XENON1T experiment for the same exposure.
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Aprile E, Abe K, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bazyk M, Bellagamba L, Biondi R, Bismark A, Brookes EJ, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Cardoso JMR, Cichon D, Cimental Chavez AP, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Flierman M, Fulgione W, Fuselli C, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Guan H, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Hood NF, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Pellegrini Q, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Pollmann TR, Qi J, Qin J, Ramírez García D, Singh R, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Wu VHS, Xing Y, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. Searching for Heavy Dark Matter near the Planck Mass with XENON1T. PHYSICAL REVIEW LETTERS 2023; 130:261002. [PMID: 37450817 DOI: 10.1103/physrevlett.130.261002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 07/18/2023]
Abstract
Multiple viable theoretical models predict heavy dark matter particles with a mass close to the Planck mass, a range relatively unexplored by current experimental measurements. We use 219.4 days of data collected with the XENON1T experiment to conduct a blind search for signals from multiply interacting massive particles (MIMPs). Their unique track signature allows a targeted analysis with only 0.05 expected background events from muons. Following unblinding, we observe no signal candidate events. This Letter places strong constraints on spin-independent interactions of dark matter particles with a mass between 1×10^{12} and 2×10^{17} GeV/c^{2}. In addition, we present the first exclusion limits on spin-dependent MIMP-neutron and MIMP-proton cross sections for dark matter particles with masses close to the Planck scale.
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Liao W, Xiao H, He J, Huang L, Liao Y, Qin J, Yang Q, Ma F, Li S. B-Cell-Activating Factor Contributes to Elevation of the Content of Regulatory B Cells in Neonatal Sepsis. Bull Exp Biol Med 2023:10.1007/s10517-023-05814-1. [PMID: 37338768 DOI: 10.1007/s10517-023-05814-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Indexed: 06/21/2023]
Abstract
We studied the role of B cell-activating factor (BAFF) in PI3K/AKT/mTOR signaling pathway in promoting proliferation and maintaining survival of regulatory B lymphocytes (Breg) in newborns with sepsis. The peripheral blood samples were collected from preterm neonates (n=40) diagnosed with sepsis on the day of diagnosis and on days 7, 14, and 21 after diagnosis, as well as from the matched preterm neonates without sepsis (n=40; control group). The peripheral blood mononuclear cells and B cells were isolated, cultured, and stimulated with LPS and immunostimulant CpG-oligodeoxynucleotide (CpG-ODN). Proliferation and differentiation of B-cells into CD19+CD24hiCD38hi Breg cells and the role of the PI3K/AKT/mTOR signaling pathway in these processes were studied by flow cytometry, real-time quantitative reverse transcription PCR (qRT-PCR), and Western blotting. BAFF levels in the peripheral blood of neonates with sepsis were significantly increased at one week after diagnosis in parallel with increasing trend of expression of BAFF receptor. When applied with LPS and CpG-ODN, BAFF promoted differentiation of B cells into CD19+CD24hiCD38hi Breg cells. Phosphorylation of 4E-BP1 factor and 70S6K kinase located downstream in PI3K/AKT/mTOR signaling pathway was significantly up-regulated when stimulated with BAFF in combination with LPS and CpG-ODN. Thus, increased level of BAFF activates PI3K/AKT/mTOR signaling pathway and induces in vitro differentiation of peripheral blood B cells into CD19+CD24hiCD38hi Breg cells.
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Javed K, Ahmad S, Qin J, Mowrey W, Kadaba D, Liriano G, Fortunel A, Holland R, Khatri D, Haranhalli N, Altschul D. Higher Incidence of Unruptured Intracranial Aneurysms among Black and Hispanic Women on Screening MRA in Large Urban Populations. AJNR Am J Neuroradiol 2023; 44:574-579. [PMID: 37105681 PMCID: PMC10171375 DOI: 10.3174/ajnr.a7856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 03/27/2023] [Indexed: 04/29/2023]
Abstract
BACKGROUND AND PURPOSE Intracranial aneurysms have a reported prevalence of 1%-2% in the general population. Currently, only patients with a strong family history or autosomal dominant polycystic kidney disease are screened for intracranial aneurysms using MRA. The purpose of this study was to determine whether there are other specific patient populations at risk that should be offered screening for intracranial aneurysms. MATERIALS AND METHODS This is a retrospective case-control study of adult patients who underwent a screening MRA of their brain at our comprehensive stroke center from 2011 to 2020. Patients with a history of a known brain aneurysm were excluded. Data were extracted on patient demographics and medical comorbidities. Bivariate analyses were performed, followed by multivariable logistic regression, to identify factors associated with a positive MRA screen for incidental aneurysms. RESULTS Of 24,397 patients eligible for this study, 2084 screened positive for a possible intracranial aneurysm. On bivariate analysis, significant differences were present in the following categories: age, sex, race and ethnicity, chronic constipation, and hyperlipidemia. On logistic regression analysis, older age (+10 years: OR = 10.01; 95% CI, 10.01-10.02; P = .001), female sex (OR = 1.37; 95% CI, 1.24-1.51; P = .001), non-Hispanic Black (OR = 1.19; 95% CI, 1.02-1.40; P = .031), and Hispanic ethnicity (OR = 1.35; 95% CI, 1.16-1.58; P = .001) versus non-Hispanic White remained significant when adjusted for other factors. CONCLUSIONS Targeted screening for high-risk elderly women of Black or Hispanic descent will yield higher positive findings for brain aneurysms, which may mitigate the risk of rupture. Whether this is a cost-effective approach has yet to be determined.
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Qin J, Cheng Q, Cai Z, Zhang L, Xing T, Xu X, Gao F. Gas chromatography-mass spectrometry-based untargeted metabolomics analysis reveals circulating biomarkers related to wooden breast myopathy in broilers: a preliminary study. Poult Sci 2023; 102:102718. [PMID: 37141813 DOI: 10.1016/j.psj.2023.102718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 04/06/2023] [Accepted: 04/09/2023] [Indexed: 05/06/2023] Open
Abstract
Approaches for the diagnosis of wooden breast (WB) myopathy in live birds are urgently required before applying intervention strategies to reduce occurrence and severity for the poultry industry. The objective of this study was to characterize the serum metabolic profiles in male broilers affected by WB and to identify biomarkers related to this myopathy. Broilers were categorized into normal (CON) and WB groups based on gross scoring and histological evaluation. Gas chromatography-mass spectrometry-based metabolomics, multivariate analysis, and orthogonal partial least squares discriminant analysis revealed a clear separation between CON and WB. A total of 73 significantly different (P < 0.05) metabolites with 17 upregulated and 56 downregulated were identified, which were mainly involved in pathways of alanine, aspartate, and glutamate metabolism, carbohydrate metabolism, and taurine and hypotaurine metabolism. By using the nested cross-validation function of random forest analysis, 9 significantly altered (P < 0.05) metabolites (cerotinic acid, arabitol, phosphoenolpyruvate, terephthalic acid, cis-gondoic acid, N-acetyl-d-glucosamine, 4-hydroxymandelic acid, caffeine, and xanthurenic acid) were identified as biomarkers with an excellent discriminant performance for WB myopathy. Collectively, this study provides new insights for a deeper understanding of the pathogenesis and provides metabolites as biomarkers for diagnostic utilization of WB myopathy.
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Zhang L, Zhang T, Sun J, Huang Y, Liu T, Ye Z, Hu J, Zhang G, Chen H, Ye Z, He Y, Qin J. Calorie restriction ameliorates hyperglycemia, modulates the disordered gut microbiota, and mitigates metabolic endotoxemia and inflammation in type 2 diabetic rats. J Endocrinol Invest 2023; 46:699-711. [PMID: 36219316 DOI: 10.1007/s40618-022-01914-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/29/2022] [Indexed: 11/27/2022]
Abstract
PURPOSE The effects of calorie restriction (CR) on gut microbiota and the mechanism of CR ameliorating hyperglycemia in streptozotocin (STZ)-induced T2DM model rats were explored. METHODS High-fat diet and STZ injection were applied to induce T2DM model rats. Rats were divided into the following three groups: the control-diet ad libitum group, the T2DM model group fed with ad libitum diet, and the T2DM group fed with 30% restriction diet. 16S rRNA sequencing was used to determine the bacterial communities. Lipopolysaccharide (LPS)-binding protein (LBP), interleukin-6 (IL-6), and tumor necrosis factor-α (TNF-α) were measured. RESULTS Glucose tolerance and insulin sensitivity were improved by CR, as well as the levels of fasting and random plasma glucose. Besides, CR not only modulated the overall structure of gut microbiota but also had selective enrichment in anti-inflammatory bacteria such as Lachnospiraceae_NK4A136_group, Ruminococcaceae_9, Allobaculum, Alistipes, and Oscillibacter, and decreased pro-inflammatory pathogenic bacteria such as Bacteroides, Lachnoclostridium, and Bifidobacterium. Tax4Fun indicated that CR could regulate related functional pathways such as lipopolysaccharide biosynthesis, and the plasma levels of LBP, IL-6, and TNF-α were markedly reduced by CR, suggesting the mechanism of CR ameliorating hyperglycemia may associate with the modulation of disordered gut microbiota and the reduction of metabolic endotoxemia and inflammation. CONCLUSION CR could ameliorate hyperglycemia, the mechanism of which may associate with the alteration of the overall structure of gut microbiota, restoration of disordered microbiota function, and the downregulation of metabolic endotoxemia and inflammation in diabetic rats.
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Fan Y, Xu Y, Huang Z, Hong W, Gong L, Chen K, Qin J, Xie F, Wang F, Tian X, Meng X, Feng W, Li L, Zhang B, Kang X. 29P A phase I, open-label, dose escalation and dose expansion study to evaluate the safety, tolerability, pharmacokinetics/pharmacodynamics, antitumor activity of QL1604, a humanized anti-PD-1 mAb, in patients with advanced solid tumors. ESMO Open 2023. [DOI: 10.1016/j.esmoop.2023.100995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023] Open
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Guan Y, Cao W, Li T, Qin J, He Q, Jia X, Li Y, Zhang Y, Liao J. NIR-excited upconversion nanoparticles used for targeted inhibition of Aβ42 monomers and disassembly of Aβ42 fibrils. J Mater Chem B 2023; 11:1445-1455. [PMID: 36628620 DOI: 10.1039/d2tb02104h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Much attention has been paid to oxidising amyloid-β peptides (Aβ) for inhibiting their aggregation using photosensitive materials. However, the low penetration of ultraviolet/visible light into biological tissues and low targeting properties of the materials hinder their application. Here, we constructed a novel platform for attenuating the neurotoxicity of Aβ through functional upconversion nanoparticles (UCNPs@SiO2-ThS). UCNPs@SiO2-ThS can not only inhibit the aggregation of Aβ42 monomers, but also disassemble Aβ42 fibrils by its selective photooxidative capacity under the irradiation of near-infrared (NIR) light. Moreover, based on the enhancement of ThS fluorescence after attaching to Aβ42 fibrils, only Aβ42 fibrils exposed to both UCNPs@SiO2-ThS and light can be oxidized rather than other normal proteins. To further enhance Aβ-target photooxygenation, we introduced the Aβ-target peptide (KLVFF) on the surface. Compared to traditional chemotherapies and radiotherapies, this novel PDT strategy shows remarkably reduced side effects and improved targeting.
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Hao B, Xu W, Gao W, Huang T, Lyu L, Lyu D, Xiao H, Li H, Qin J, Sheng L, Liu H. Association between Frailty Assessed Using Two Electronic Medical Record-Based Frailty Assessment Tools and Long-Term Adverse Prognosis in Older Critically Ill Survivors. J Nutr Health Aging 2023; 27:649-655. [PMID: 37702338 DOI: 10.1007/s12603-023-1961-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 07/20/2023] [Indexed: 09/14/2023]
Abstract
OBJECTIVES Frailty has become an independent risk factor for adverse outcomes in critically ill patients. This study aimed to explore the predictive ability of two electronic medical record-based frailty assessment tools, the Hospital Frailty Risk Score (HFRS) and Frailty Index based on physiological and laboratory tests (FI-lab), for long-term adverse prognosis in older critically ill survivors. DESIGN Retrospective observational study. SETTING AND PARTICIPANTS 9,082 critically ill survivors aged ≥ 65 years. MEASUREMENTS The HFRS and the 33-item FI-lab were constructed based on the published literature. Cox and logistic regression models assessed the association between frailty and 1-year mortality and post-discharge care needs. RESULTS 2,586 patients died within 1 year of follow-up. In fully adjusted models, frailty assessed using both the HFRS (per point, hazard ratio [HR] 1.06, 95% confidential interval [CI] 1.05-1.06; intermediate frailty risk, HR 2.00, 95% CI 1.78-2.25; high frailty risk, HR 3.06, 95% CI 2.68-3.50) and FI-lab (per 0.01 points, HR 1.03, 95% CI 1.03-1.03; intermediate frailty risk, HR 1.59, 95% CI 1.44-1.76; high frailty risk, HR 2.30, 95% CI 2.06-2.57) was associated with mortality. Addition of frailty indicators improved the predictive validity of the Sequential Organ Failure Assessment score for mortality (HFRS alone ∆ C-index 0.034; FI-lab alone ∆ C-index 0.016; HFRS and FI-lab combined ∆ C-index 0.042). The HFRS but not the FI-lab was associated with higher probability of post-discharge care needs. CONCLUSION Both the HFRS and FI-lab could independently predict 1-year mortality in older critically ill survivors. Adding the HFRS to the SOFA score model improved it more than adding the FI-lab. The greatest improvement was achieved when both frailty indicators were used together. These findings suggest that electronic medical record-based frailty assessment methods can be useful tools for predicting long-term outcomes in older critically ill patients.
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Althueser L, Andrieu B, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bellagamba L, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Bui TK, Cai C, Capelli C, Cardoso JMR, Cichon D, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Di Gangi P, Di Pede S, Di Giovanni A, Di Stefano R, Diglio S, Eitel K, Elykov A, Farrell S, Ferella AD, Ferrari C, Fischer H, Fulgione W, Gaemers P, Gaior R, Gallo Rosso A, Galloway M, Gao F, Gardner R, Glade-Beucke R, Grandi L, Grigat J, Guida M, Hammann R, Higuera A, Hils C, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kara M, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Kuger F, Landsman H, Lang RF, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Loizeau J, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Paschos P, Peres R, Peters C, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, Dos Santos JMF, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulte P, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Stephen J, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Xu D, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhong M, Zhu T. Search for New Physics in Electronic Recoil Data from XENONnT. PHYSICAL REVIEW LETTERS 2022; 129:161805. [PMID: 36306777 DOI: 10.1103/physrevlett.129.161805] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/21/2022] [Indexed: 06/16/2023]
Abstract
We report on a blinded analysis of low-energy electronic recoil data from the first science run of the XENONnT dark matter experiment. Novel subsystems and the increased 5.9 ton liquid xenon target reduced the background in the (1, 30) keV search region to (15.8±1.3) events/(ton×year×keV), the lowest ever achieved in a dark matter detector and ∼5 times lower than in XENON1T. With an exposure of 1.16 ton-years, we observe no excess above background and set stringent new limits on solar axions, an enhanced neutrino magnetic moment, and bosonic dark matter.
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Yu D, Chen W, Zhang J, Wei L, Qin J, Lei M, Tang H, Wang Y, Xue S, Dong J, Chen Y, Xie L, Di H. Effects of weight loss on bone turnover, inflammatory cytokines, and adipokines in Chinese overweight and obese adults. J Endocrinol Invest 2022; 45:1757-1767. [PMID: 35635643 PMCID: PMC9360139 DOI: 10.1007/s40618-022-01815-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/28/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE Plenty of studies have examined the long term effect of weight loss on bone mineral density. This study aimed to explore the effects of 10% weight loss on early changes in bone metabolism as well as the possible influencing factors. METHODS Overweight and obese outpatients (BMI > 24.0 kg/m2) were recruited from the nutrition clinic and followed a calorie-restricted, high-protein, low-carbohydrate diet program. Dietary intake, body composition, serum procollagen type I N-propeptide (PINP), β-Crosslaps, PTH, 25(OH) VitD, a series of inflammatory cytokines and adipokines were measured for the participants before starting to lose weight and after 10% weight loss (NCT04207879). RESULTS A total of 75 participants were enrolled and 37 participants achieved a weight loss of at least 10%. It was found that PINP decreased (p = 0.000) and the β-Crosslaps increased (p = 0.035) in female participants. Decreases in PTH (p = 0.001), serum IL-2 (p = 0.013), leptin (p = 0.001) and increases in 25(OH) VitD (p = 0.001), serum ghrelin (p = 0.033) were found in 37 participants after 10% of their weight had been lost. Change in PINP was detected to be significantly associated with change in lean body mass (r = 0.418, p = 0.012) and change in serum ghrelin(r = - 0.374, p = 0.023). CONCLUSIONS Bone formation was suppressed and bone absorption was increased in female subjects after a 10% weight loss. Bone turnover was found to be associated with lean body mass and affected by the circulating ghrelin level.
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Alfonsi M, Althueser L, Angelino E, Angevaare JR, Antochi VC, Antón Martin D, Arneodo F, Baudis L, Baxter AL, Bellagamba L, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Capelli C, Cardoso JMR, Cichon D, Cimmino B, Clark M, Colijn AP, Conrad J, Cuenca-García JJ, Cussonneau JP, D'Andrea V, Decowski MP, Gangi PD, Pede SD, Giovanni AD, Stefano RD, Diglio S, Elykov A, Farrell S, Ferella AD, Fischer H, Fulgione W, Gaemers P, Gaior R, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Higuera A, Hils C, Hiraide K, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Kato N, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Landsman H, Lang RF, Levinson L, Li I, Liang S, Lindemann S, Lindner M, Liu K, Lombardi F, Long J, Lopes JAM, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Manfredini A, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Ni K, Oberlack U, Palacio J, Peres R, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, Dos Santos JMF, Sartorelli G, Schreiner J, Schulte D, Schulze Eißing H, Schumann M, Lavina LS, Selvi M, Semeria F, Shagin P, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Therreau C, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Westermann J, Wittweg C, Wolf T, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhang Y, Zhong M, Zhu T, Zopounidis JP, Laubenstein M, Nisi S. Material radiopurity control in the XENONnT experiment. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2022; 82:599. [PMID: 35821975 PMCID: PMC9270421 DOI: 10.1140/epjc/s10052-022-10345-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 04/19/2022] [Indexed: 11/18/2022]
Abstract
The selection of low-radioactive construction materials is of the utmost importance for rare-event searches and thus critical to the XENONnT experiment. Results of an extensive radioassay program are reported, in which material samples have been screened with gamma-ray spectroscopy, mass spectrometry, and \documentclass[12pt]{minimal}
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\begin{document}$$^{222}$$\end{document}222Rn emanation measurements. Furthermore, the cleanliness procedures applied to remove or mitigate surface contamination of detector materials are described. Screening results, used as inputs for a XENONnT Monte Carlo simulation, predict a reduction of materials background (\documentclass[12pt]{minimal}
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\begin{document}$$\sim $$\end{document}∼17%) with respect to its predecessor XENON1T. Through radon emanation measurements, the expected \documentclass[12pt]{minimal}
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\begin{document}$$^{222}$$\end{document}222Rn activity concentration in XENONnT is determined to be 4.2 (\documentclass[12pt]{minimal}
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\begin{document}$$\upmu $$\end{document}μBq/kg, a factor three lower with respect to XENON1T. This radon concentration will be further suppressed by means of the novel radon distillation system.
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Duan YY, Qin J, Qiu WQ, Li SY, Li C, Liu AS, Chen X, Zhang CX. Performance of a generative adversarial network using ultrasound images to stage liver fibrosis and predict cirrhosis based on a deep-learning radiomics nomogram. Clin Radiol 2022; 77:e723-e731. [PMID: 35811157 DOI: 10.1016/j.crad.2022.06.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 05/31/2022] [Accepted: 06/07/2022] [Indexed: 12/18/2022]
Abstract
AIM To investigate the performance of a generative adversarial network (GAN) model for staging liver fibrosis and its radiomics-based nomogram for predicting cirrhosis. MATERIALS AND METHODS This two-centre retrospective study included 434 patients for whom input data of ultrasound images and histopathological data (obtained within 1 month of ultrasound examinations) were assigned to the training cohort (249 patients), the internal cohort (92 patients), and the external (93 patients) cohort. A data augmentation method based on a GAN model was used. The discriminative performance was evaluated for classifying fibrosis of S4 and ≥S3. Deep-learning radiomics features were extracted for the prediction of cirrhosis (S4). To perform feature reduction and selection, the least absolute shrinkage and selection operator (LASSO) algorithm was applied. Radiomics scores, along with clinical factors, were incorporated into a nomogram using multivariable logistic regression analysis. The performance of the models was estimated with respect to discrimination power, calibration, and clinical benefits. RESULTS The areas under the receiver operating characteristic curve (AUCs) values of the GAN were 0.832/0.762 (≥S3), and 0.867/0.835 (S4) for internal/external test sets, respectively. The radiomics nomogram that intergrated radiomics scores and clinical factors showed good calibration and discrimination ability of 0.922 (AUC) in the training dataset, 0.896 in the internal dataset, and 0.861 in the external dataset. Decision curve analysis (DCA) demonstrated that the nomogram outperformed radiologist and haematological indices in terms of the most clinical benefits. CONCLUSIONS The GAN model could be applied to discriminate fibrosis stages, and a favourable predictive accuracy for diagnosing cirrhosis was achieved using a deep-learning radiomics nomogram.
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Aprile E, Abe K, Agostini F, Ahmed Maouloud S, Alfonsi M, Althueser L, Angelino E, Angevaare J, Antochi V, Antón Martin D, Arneodo F, Baudis L, Baxter A, Bellagamba L, Bernard A, Biondi R, Bismark A, Brown A, Bruenner S, Bruno G, Budnik R, Capelli C, Cardoso J, Cichon D, Cimmino B, Clark M, Colijn A, Conrad J, Cuenca-García J, Cussonneau J, D’Andrea V, Decowski M, Di Gangi P, Di Pede S, Di Giovanni A, Di Stefano R, Diglio S, Elykov A, Farrell S, Ferella A, Fischer H, Fulgione W, Gaemers P, Gaior R, Galloway M, Gao F, Glade-Beucke R, Grandi L, Grigat J, Higuera A, Hils C, Hoetzsch L, Howlett J, Iacovacci M, Itow Y, Jakob J, Joerg F, Joy A, Kato N, Kavrigin P, Kazama S, Kobayashi M, Koltman G, Kopec A, Landsman H, Lang R, Levinson L, Li I, Li S, Liang S, Lindemann S, Lindner M, Liu K, Lombardi F, Long J, Lopes J, Ma Y, Macolino C, Mahlstedt J, Mancuso A, Manenti L, Manfredini A, Marignetti F, Marrodán Undagoitia T, Martens K, Masbou J, Masson D, Masson E, Mastroianni S, Messina M, Miuchi K, Mizukoshi K, Molinario A, Moriyama S, Morå K, Mosbacher Y, Murra M, Müller J, Ni K, Oberlack U, Paetsch B, Palacio J, Peres R, Pienaar J, Pierre M, Pizzella V, Plante G, Qi J, Qin J, Ramírez García D, Reichard S, Rocchetti A, Rupp N, Sanchez L, dos Santos J, Sarnoff I, Sartorelli G, Schreiner J, Schulte D, Schulze Eißing H, Schumann M, Scotto Lavina L, Selvi M, Semeria F, Shagin P, Shi S, Shockley E, Silva M, Simgen H, Takeda A, Tan PL, Terliuk A, Thers D, Toschi F, Trinchero G, Tunnell C, Tönnies F, Valerius K, Volta G, Wei Y, Weinheimer C, Weiss M, Wenz D, Wittweg C, Wolf T, Xu Z, Yamashita M, Yang L, Ye J, Yuan L, Zavattini G, Zhang Y, Zhong M, Zhu T, Zopounidis J. Emission of single and few electrons in XENON1T and limits on light dark matter. Int J Clin Exp Med 2022. [DOI: 10.1103/physrevd.106.022001] [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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Aaij R, Abdelmotteleb ASW, Beteta CA, Gallego FJA, Ackernley T, Adeva B, Adinolfi M, Afsharnia H, Agapopoulou C, Aidala CA, Aiola S, Ajaltouni Z, Akar S, Albrecht J, Alessio F, Alexander M, Albero AA, Aliouche Z, Alkhazov G, Cartelle PA, Amato S, Amey JL, Amhis Y, An L, Anderlini L, Andreianov A, Andreotti M, Archilli F, Artamonov A, Artuso M, Arzymatov K, Aslanides E, Atzeni M, Audurier B, Bachmann S, Bachmayer M, Back JJ, Rodriguez PB, Balagura V, Baldini W, Leite JB, Barbetti M, Barlow RJ, Barsuk S, Barter W, Bartolini M, Baryshnikov F, Basels JM, Bashir S, Bassi G, Batsukh B, Battig A, Bay A, Beck A, Becker M, Bedeschi F, Bediaga I, Beiter A, Belavin V, Belin S, Bellee V, Belous K, Belov I, Belyaev I, Bencivenni G, Ben-Haim E, Berezhnoy A, Bernet R, Berninghoff D, Bernstein HC, Bertella C, Bertolin A, Betancourt C, Betti F, Bezshyiko I, Bhasin S, Bhom J, Bian L, Bieker MS, Bifani S, Billoir P, Birch M, Bishop FCR, Bitadze A, Bizzeti A, Bjørn M, Blago MP, Blake T, Blanc F, Blusk S, 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E, Cojocariu L, Collins P, Colombo T, Congedo L, Contu A, Cooke N, Coombs G, Corredoira I, Corti G, Sobral CMC, Couturier B, Craik DC, Crkovská J, Torres MC, Currie R, Silva CLD, Dadabaev S, Dai L, Dall’Occo E, Dalseno J, D’Ambrosio C, Danilina A, d’Argent P, Davies JE, Davis A, De Aguiar Francisco O, De Bruyn K, De Capua S, De Cian M, De Miranda JM, De Paula L, De Serio M, De Simone D, De Simone P, De Vellis F, de Vries JA, Dean CT, Debernardis F, Decamp D, Dedu V, Buono LD, Delaney B, Dembinski HP, Dendek A, Denysenko V, Derkach D, Deschamps O, Desse F, Dettori F, Dey B, Cicco AD, Nezza PD, Didenko S, Maronas LD, Dijkstra H, Dobishuk V, Dong C, Donohoe AM, Dordei F, dos Reis AC, Douglas L, Dovbnya A, Downes AG, Dudek MW, Dufour L, Duk V, Durante P, Durham JM, Dutta D, Dziurda A, Dzyuba A, Easo S, Egede U, Egorychev V, Eidelman S, Eisenhardt S, Ek-In S, Eklund L, Ely S, Ene A, Epple E, Escher S, Eschle J, Esen S, Evans T, Falabella A, Fan J, Fan Y, Fang B, Farry S, Fazzini D, Féo M, Prieto AF, Fernez AD, Ferrari F, Lopes LF, Rodrigues FF, Sole SF, Ferrillo M, Ferro-Luzzi M, Filippov S, Fini RA, Fiorini M, Firlej M, Fischer KM, Fitzgerald DS, Fitzpatrick C, Fiutowski T, Fkiaras A, Fleuret F, Fontana M, Fontanelli F, Forty R, Foulds-Holt D, Lima VF, Sevilla MF, Frank M, Franzoso E, Frau G, Frei C, Friday DA, Fu J, Fuehring Q, Gabriel E, Galati G, Torreira AG, Galli D, Gambetta S, Gan Y, Gandelman M, Gandini P, Gao Y, Garau M, Martin LMG, Moreno PG, Pardiñas JG, Plana BG, Rosales FAG, Garrido L, Gaspar C, Geertsema RE, Gerick D, Gerken LL, Gersabeck E, Gersabeck M, Gershon T, Gerstel D, Giambastiani L, Gibson V, Giemza HK, Gilman AL, Giovannetti M, Gioventù A, Gironell PG, Giubega L, Giugliano C, Gizdov K, Gkougkousis EL, Gligorov VV, Göbel C, Golobardes E, Golubkov D, Golutvin A, Gomes A, Fernandez SG, Abrantes FG, Goncerz M, Gong G, Gorbounov P, Gorelov IV, Gotti C, Govorkova E, Grabowski JP, Grammatico T, Cardoso LAG, Graugés E, Graverini E, Graziani G, Grecu A, Greeven LM, Grieser NA, Grillo L, Gromov S, Cazon BRG, Gu C, Guarise M, Guittiere M, Günther PA, Gushchin E, Guth A, Guz Y, Gys T, Hadavizadeh T, Haefeli G, Haen C, Haimberger J, Halewood-leagas T, Hamilton PM, Hammerich JP, Han Q, Han X, Hancock TH, Hansen EB, Hansmann-Menzemer S, Harnew N, Harrison T, Hasse C, Hatch M, He J, Hecker M, Heijhoff K, Heinicke K, Hennequin AM, Hennessy K, Henry L, Heuel J, Hicheur A, Hill D, Hilton M, Hollitt SE, Hou R, Hou Y, Hu J, Hu J, Hu W, Hu X, Huang W, Huang X, Hulsbergen W, Hunter RJ, Hushchyn M, Hutchcroft D, Hynds D, Ibis P, Idzik M, Ilin D, Ilten P, Inglessi A, Ishteev A, Ivshin K, Jacobsson R, Jage H, Jakobsen S, Jans E, Jashal BK, Jawahery A, Jevtic V, Jiang F, John M, Johnson D, Jones CR, Jones TP, Jost B, Jurik N, Kadavath SHK, Kandybei S, Kang Y, Karacson M, Karpov M, Keizer F, Keller DM, Kenzie M, Ketel T, Khanji B, Kharisova A, Kholodenko S, Kirn T, Kirsebom VS, Kitouni O, Klaver S, Kleijne N, Klimaszewski K, Kmiec MR, Koliiev S, Kondybayeva A, Konoplyannikov A, Kopciewicz P, Kopecna R, Koppenburg P, Korolev M, Kostiuk I, Kot O, Kotriakhova S, Kravchenko P, Kravchuk L, Krawczyk RD, Kreps M, Kress F, Kretzschmar S, Krokovny P, Krupa W, Krzemien W, Kucharczyk M, Kudryavtsev V, Kuindersma HS, Kunde GJ, Kvaratskheliya T, Lacarrere D, Lafferty G, Lai A, Lampis A, Lancierini D, Lane JJ, Lane R, Lanfranchi G, Langenbruch C, Langer J, Lantwin O, Latham T, Lazzari F, Gac RL, Lee SH, Lefèvre R, Leflat A, Legotin S, Leroy O, Lesiak T, Leverington B, Li H, Li P, Li S, Li Y, Li Z, Liang X, Lin T, Lindner R, Lisovskyi V, Litvinov R, Liu G, Liu H, Liu Q, Liu S, Salvia AL, Loi A, Castro JL, Longstaff I, Lopes JH, Solino SL, Lovell GH, Lu Y, Lucarelli C, Lucchesi D, Luchuk S, Martinez ML, Lukashenko V, Luo Y, Lupato A, Luppi E, Lupton O, Lusiani A, Lyu X, Ma L, Ma R, Maccolini S, Machefert F, Maciuc F, Macko V, Mackowiak P, Maddrell-Mander S, Madejczyk O, Mohan LRM, Maev O, Maevskiy A, Maisuzenko D, Majewski MW, Malczewski JJ, Malde S, Malecki B, Malinin A, Maltsev T, Malygina H, Manca G, Mancinelli G, Manuzzi D, Marangotto D, Maratas J, Marchand JF, Marconi U, Mariani S, Benito CM, Marinangeli M, Marks J, Marshall AM, Marshall PJ, Martelli G, Martellotti G, Martinazzoli L, Martinelli M, Santos DM, Vidal FM, Massafferri A, Materok M, Matev R, Mathad A, Matiunin V, Matteuzzi C, Mattioli KR, Mauri A, Maurice E, Mauricio J, Mazurek M, McCann M, Mcconnell L, Mcgrath TH, Mchugh NT, McNab A, McNulty R, Mead JV, Meadows B, Meier G, Meinert N, Melnychuk D, Meloni S, Merk M, Merli A, Garcia LM, Mikhasenko M, Milanes DA, Millard E, Milovanovic M, Minard MN, Minotti A, Minzoni L, Mitchell SE, Mitreska B, Mitzel DS, Mödden A, Mohammed RA, Moise RD, Mokhnenko S, Mombächer T, Monroy IA, Monteil S, Morandin M, Morello G, Morello MJ, Moron J, Morris AB, Morris AG, Mountain R, Mu H, Muheim F, Mulder M, Müller D, Müller K, Murphy CH, Murray D, Muzzetto P, Naik P, Nakada T, Nandakumar R, Nanut T, Nasteva I, Needham M, Neri I, Neri N, Neubert S, Neufeld N, Newcombe R, Niel EM, Nieswand S, Nikitin N, Nolte NS, Normand C, Nunez C, Oblakowska-Mucha A, Obraztsov V, Oeser T, O’Hanlon DP, Okamura S, Oldeman R, Oliva F, Olivares ME, Onderwater CJG, O’neil RH, Goicochea JMO, Ovsiannikova T, Owen P, Oyanguren A, Padeken KO, Pagare B, Pais PR, Pajero T, Palano A, Palutan M, Pan Y, Panshin G, Papanestis A, Pappagallo M, Pappalardo LL, Pappenheimer C, Parker W, Parkes C, Passalacqua B, Passaleva G, Pastore A, Patel M, Patrignani C, Pawley CJ, Pearce A, Pellegrino A, Altarelli MP, Perazzini S, Pereima D, Castro AP, Perret P, Petric M, Petridis K, Petrolini A, Petrov A, Petrucci S, Petruzzo M, Pham TTH, Pica L, Piccini M, Pietrzyk B, Pietrzyk G, Pili M, Pinci D, Pisani F, Pizzichemi M, Resmi PK, Placinta V, Plews J, Casasus MP, Polci F, Lener MP, Poliakova M, Poluektov A, Polukhina N, Polyakov I, Polycarpo E, Ponce S, Popov D, Popov S, Poslavskii S, Prasanth K, Promberger L, Prouve C, Pugatch V, Puill V, Pullen H, Punzi 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JB, Zou Q, Zucchelli S, Zuliani D, Zunica G. Study of the doubly charmed tetraquark [Formula: see text]. Nat Commun 2022; 13:3351. [PMID: 35710739 PMCID: PMC9203551 DOI: 10.1038/s41467-022-30206-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 04/14/2022] [Indexed: 11/24/2022] Open
Abstract
Quantum chromodynamics, the theory of the strong force, describes interactions of coloured quarks and gluons and the formation of hadronic matter. Conventional hadronic matter consists of baryons and mesons made of three quarks and quark-antiquark pairs, respectively. Particles with an alternative quark content are known as exotic states. Here a study is reported of an exotic narrow state in the D0D0π+ mass spectrum just below the D*+D0 mass threshold produced in proton-proton collisions collected with the LHCb detector at the Large Hadron Collider. The state is consistent with the ground isoscalar [Formula: see text] tetraquark with a quark content of [Formula: see text] and spin-parity quantum numbers JP = 1+. Study of the DD mass spectra disfavours interpretation of the resonance as the isovector state. The decay structure via intermediate off-shell D*+ mesons is consistent with the observed D0π+ mass distribution. To analyse the mass of the resonance and its coupling to the D*D system, a dedicated model is developed under the assumption of an isoscalar axial-vector [Formula: see text] state decaying to the D*D channel. Using this model, resonance parameters including the pole position, scattering length, effective range and compositeness are determined to reveal important information about the nature of the [Formula: see text] state. In addition, an unexpected dependence of the production rate on track multiplicity is observed.
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