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  • 1
    Online Resource
    Online Resource
    DataSheet_1.doc
    Frontiers Media SA ; 2023
    In:  Frontiers in Endocrinology Vol. 14 ( 2023-2-16)
    Details
    In: Frontiers in Endocrinology, Frontiers Media SA, Vol. 14 ( 2023-2-16)
    Abstract: Sepsis is a life-threatening condition secondary to infection that evolves into a dysregulated host response and is associated with acute organ dysfunction. Sepsis-induced cardiac dysfunction is one of the most complex organ failures to characterize. This study performed comprehensive metabolomic profiling that distinguished between septic patients with and without cardiac dysfunction. Method Plasma samples collected from 80 septic patients were analysed by untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics. Principal component analysis (PCA), partial least squares discrimination analysis (PLS-DA), and orthogonal partial least square discriminant analysis (OPLS-DA) were applied to analyse the metabolic model between septic patients with and without cardiac dysfunction. The screening criteria for potential candidate metabolites were as follows: variable importance in the projection (VIP) & gt;1, P & lt; 0.05, and fold change (FC) & gt; 1.5 or & lt; 0.7. Pathway enrichment analysis further revealed associated metabolic pathways. In addition, we constructed a subgroup metabolic analysis between the survivors and non-survivors according to 28-day mortality in the cardiac dysfunction group. Results Two metabolite markers, kynurenic acid and gluconolactone, could distinguish the cardiac dysfunction group from the normal cardiac function group. Two metabolites, kynurenic acid and galactitol, could distinguish survivors and non-survivors in the subgroup analysis. Kynurenic acid is a common differential metabolite that could be used as a candidate for both diagnosis and prognosis for septic patients with cardiac dysfunction. The main associated pathways were amino acid metabolism, glucose metabolism and bile acid metabolism. Conclusion Metabolomic technology could be a promising approach for identifying diagnostic and prognostic biomarkers of sepsis-induced cardiac dysfunction.
    Type of Medium: Online Resource
    ISSN: 1664-2392
    URL: Article
    URL: Article
    DOI: 10.3389/fendo.2023.1060470
    DOI: 10.3389/fendo.2023.1060470.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2592084-4
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  • 2
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    Online Resource
    Relationship between the East Asian Summer and Winter Monsoons at Obliquity Time Scales
    American Meteorological Society ; 2023
    In:  Journal of Climate Vol. 36, No. 12 ( 2023-06-15), p. 3993-4003
    Details
    In: Journal of Climate, American Meteorological Society, Vol. 36, No. 12 ( 2023-06-15), p. 3993-4003
    Abstract: The relationship between the East Asian summer monsoon (EASM) and East Asian winter monsoon (EAWM) across time scales has been an interesting topic for decades. In this study, we quantitatively investigate the EASM–EAWM relationship at the obliquity time scales using a set of accelerated transient simulations. By comparing different indices defined with different variables, we find that the EASM and EAWM intensities are positively correlated under obliquity forcing. High obliquity leads to warmer summertime and cooler wintertime surface temperatures, with a stronger response observed over land than over the oceans. The warmer summertime and cooler wintertime temperature responses are accompanied by a strengthened Asian low in summer and Siberian high in winter, with enhanced southerlies in summer and northerlies in winter, indicating an enhanced EASM and EAWM. Modulated by ice sheet forcing, however, the evolution of the simulated EAWM shifts toward the ice sheet maximum, such that the circulation-based EASM–EAWM relationship in the realistically forced simulation exhibits a phase shift of approximately 11 kyr, closer to the phase between the composite δ 18 O and loess grain size in observations. Our results may have implications for better understanding the distinct changes in the proxy-based EASM–EAWM relationship before and after the rapid growth of global ice volume at around 3 Ma. Significance Statement Studying the relationship between the EASM and EAWM can help us understand the characteristics and mechanisms of the regional climate in response to external forcings at different time scales. By investigating the EASM–EAWM relationship over the past 300 000 years, we find that, forced by obliquity variations, the EASM and EAWM are positively correlated at the obliquity time scales. The ice sheet forcing, meanwhile, also influences the circulation over East Asia and modulates the evolutionary phases between the EASM and EAWM. Our results highlight the importance of the combined impacts of orbital parameters and ice sheets on past climate changes over Asia.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    URL: Article
    DOI: 10.1175/JCLI-D-22-0587.1
    RVK:
    UA 4548
    Language: Unknown
    Publisher: American Meteorological Society
    Publication Date: 2023
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 3
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    Online Resource
    Influence of Tibetan Plateau on the North American summer monsoon precipitation
    Springer Science and Business Media LLC ; 2021
    In:  Climate Dynamics Vol. 57, No. 11-12 ( 2021-12), p. 3093-3110
    Details
    In: Climate Dynamics, Springer Science and Business Media LLC, Vol. 57, No. 11-12 ( 2021-12), p. 3093-3110
    Type of Medium: Online Resource
    ISSN: 0930-7575 , 1432-0894
    URL: Article
    DOI: 10.1007/s00382-021-05857-y
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 382992-3
    detail.hit.zdb_id: 1471747-5
    SSG: 16,13
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  • 4
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    Online Resource
    Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review
    Springer Science and Business Media LLC ; 2020
    In:  Climate Dynamics Vol. 54, No. 11-12 ( 2020-06), p. 5127-5144
    Details
    In: Climate Dynamics, Springer Science and Business Media LLC, Vol. 54, No. 11-12 ( 2020-06), p. 5127-5144
    Type of Medium: Online Resource
    ISSN: 0930-7575 , 1432-0894
    URL: Article
    DOI: 10.1007/s00382-020-05275-6
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 382992-3
    detail.hit.zdb_id: 1471747-5
    SSG: 16,13
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  • 5
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    Online Resource
    A Novel Strategy for the Construction of Covalent Organic Frameworks from Nonporous Covalent Organic Polymers
    Wiley ; 2019
    In:  Angewandte Chemie International Edition Vol. 58, No. 15 ( 2019-04), p. 4906-4910
    Details
    In: Angewandte Chemie International Edition, Wiley, Vol. 58, No. 15 ( 2019-04), p. 4906-4910
    Abstract: The field of covalent organic frameworks (COFs) has been developed significantly in the past decade on account of their important characteristics and vast application potential. On the other hand, the discovery of novel synthetic methodology is still a challenging task to further promote the preparation of COFs. Herein, an interesting protocol for the conversion of amorphous nonporous covalent organic polymers (COPs) to COFs was established, affording four COFs with high crystallinity and porosity. Specifically, imine‐linked amorphous COP‐1 was successfully converted to COF‐1–4 by replacing one type of linker with other organic building blocks. The realization of this conversion provides a facile method for constructing COFs from COPs.
    Type of Medium: Online Resource
    ISSN: 1433-7851 , 1521-3773
    URL: Issue
    URL: Article
    DOI: 10.1002/anie.v58.15
    DOI: 10.1002/anie.201813999
    RVK:
    VA 2100
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 2011836-3
    detail.hit.zdb_id: 123227-7
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  • 6
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    Online Resource
    A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System
    Hindawi Limited ; 2015
    In:  Advances in Meteorology Vol. 2015 ( 2015), p. 1-16
    Details
    In: Advances in Meteorology, Hindawi Limited, Vol. 2015 ( 2015), p. 1-16
    Abstract: Coupling parameter estimation (CPE) that uses observations to estimate the parameters in a coupled model through error covariance between variables residing in different media may increase the consistency of estimated parameters in an air-sea coupled system. However, it is very challenging to accurately evaluate the error covariance between such variables due to the different characteristic time scales at which flows vary in different media. With a simple Lorenz-atmosphere and slab ocean coupled system that characterizes the interaction of two-timescale media in a coupled “climate” system, this study explores feasibility of the CPE with four-dimensional variational analysis and ensemble Kalman filter within a perfect observing system simulation experiment framework. It is found that both algorithms can improve the representation of air-sea coupling processes through CPE compared to state estimation only. These simple model studies provide some insights when parameter estimation is implemented with a coupled general circulation model for improving climate estimation and prediction initialization.
    Type of Medium: Online Resource
    ISSN: 1687-9309 , 1687-9317
    URL: Article
    DOI: 10.1155/2015/530764
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2015
    detail.hit.zdb_id: 2486777-9
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  • 7
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    Online Resource
    Deglacial variability of South China hydroclimate heavily contributed by autumn rainfall
    Springer Science and Business Media LLC ; 2021
    In:  Nature Communications Vol. 12, No. 1 ( 2021-10-07)
    Details
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2021-10-07)
    Abstract: The deglacial hydroclimate in South China remains a long-standing topic of debate due to the lack of reliable moisture proxies and inconsistent model simulations. A recent hydroclimate proxy suggests that South China became wet in cold stadials during the last deglaciation, with the intensification proposed to be contributed mostly by the East Asian summer monsoon (EASM). Here, based on a deglacial simulation in a state-of-the-art climate model that well reproduces the evolution of EASM, winter monsoon (EAWM) and the associated water isotopes in East Asia, we propose that the intensified hydroclimate in South China is also contributed heavily by the rainfall in autumn, during the transition between EASM and EAWM. The excessive rainfall in autumn results from the convergence between anomalous northerly wind due to amplified land-sea thermal contrast and anomalous southerly wind associated with the anticyclone over Western North Pacific, both of which are, in turn, forced by the slowdown of the Atlantic thermohaline circulation. Regardless the rainfall change, however, the modeled δ 18 O p remains largely unchanged in autumn. Our results provide new insights to East Asia monsoon associated with climate change in the North Atlantic.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    URL: Article
    DOI: 10.1038/s41467-021-26106-0
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2553671-0
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  • 8
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    Online Resource
    Ginsenoside‐Rg1 attenuates sepsis‐induced cardiac dysfunction by modulating mitochondrial damage via the P2X7 receptor‐mediated Akt/GSK‐3β signaling pathway
    Wiley ; 2022
    In:  Journal of Biochemical and Molecular Toxicology Vol. 36, No. 1 ( 2022-01)
    Details
    In: Journal of Biochemical and Molecular Toxicology, Wiley, Vol. 36, No. 1 ( 2022-01)
    Abstract: Ginsenoside‐Rg1 (G‐Rg1), a saponin that is a primary component of ginseng, is effective against inflammatory diseases. The P2X purinoceptor 7 (P2X7) receptor is an ATP‐gated ion channel that is predominantly expressed in immune cells and plays a key role in inflammatory processes. We investigated the role of G‐Rg1 in sepsis‐related cardiac dysfunction and the underlying mechanism involving the regulation of the P2X7 receptor. We detected cell viability, cytotoxicity, cellular reactive oxygen species (ROS) levels, and mitochondrial membrane potential (MMP) with or without G‐Rg1 in lipopolysaccharide (LPS)‐ or hypoxia/reoxygenation (H/R)‐induced H9c2 cell models of ischemia/reperfusion injury. We applied cecal ligation and puncture (CLP) to induce a mouse model of sepsis and measured the survival duration and cardiac function of CLP mice. Next, we quantified the ROS level, MMP, respiratory chain complex I–IV enzymatic activity, and mitochondrial fusion in CLP mouse heart tissues. We then investigated the role of G‐Rg1 in repairing LPS‐induced cell mitochondrial damage, including mitochondrial superoxidation products. The results showed that G‐Rg1 inhibited LPS‐ or H/R‐induced cardiomyocyte apoptosis, cytotoxicity, ROS levels, and mitochondrial damage. In addition, G‐Rg1 prolonged the survival time of CLP mice. G‐Rg1 attenuated LPS‐induced superoxide production in the mitochondria of cardiomyocytes and the excessive release of cytochrome c from mitochondria into the cytoplasm. Most importantly, G‐Rg1 suppressed LPS‐mediated induction of proapoptotic Bax, activated Akt, induced GSK‐3β phosphorylation, and balanced mitochondrial calcium levels. Overall, G‐Rg1 activates the Akt/GSK‐3β pathway through P2X7 receptors to inhibit sepsis‐induced cardiac dysfunction and mitochondrial dysfunction.
    Type of Medium: Online Resource
    ISSN: 1095-6670 , 1099-0461
    URL: Issue
    URL: Article
    DOI: 10.1002/jbt.v36.1
    DOI: 10.1002/jbt.22885
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 1481995-8
    SSG: 12
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  • 9
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    Online Resource
    Parameter Optimization in an Intermediate Coupled Climate Model with Biased Physics
    American Meteorological Society ; 2015
    In:  Journal of Climate Vol. 28, No. 3 ( 2015-02-01), p. 1227-1247
    Details
    In: Journal of Climate, American Meteorological Society, Vol. 28, No. 3 ( 2015-02-01), p. 1227-1247
    Abstract: Imperfect physical parameterization schemes in a coupled climate model are an important source of model biases that adversely impact climate prediction. However, how observational information should be used to optimize physical parameterizations through parameter estimation has not been fully studied. Using an intermediate coupled ocean–atmosphere model, the authors investigate parameter optimization when the assimilation model contains biased physics within a biased assimilation experiment framework. Here, the biased physics is induced by using different outgoing longwave radiation schemes in the assimilation model and the “truth” model that is used to generate simulated observations. While the stochastic physics, implemented by initially perturbing the physical parameters, can significantly enhance the ensemble spread and improve the representation of the model ensemble, the parameter estimation is able to mitigate the model biases induced by the biased physics. Furthermore, better results for climate estimation and prediction can be obtained when only the most influential physical parameters are optimized and allowed to vary geographically. In addition, the parameter optimization with the biased model physics improves the performance of the climate estimation and prediction in the deep ocean significantly, even if there is no direct observational constraint on the low-frequency component of the state variables. These results provide some insight into decadal predictions in a coupled ocean–atmosphere general circulation model that includes imperfect physical schemes that are initialized from the climate observing system.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    URL: Article
    DOI: 10.1175/JCLI-D-14-00348.1
    RVK:
    UA 4548
    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2015
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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  • 10
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    Online Resource
    Error Covariance Estimation for Coupled Data Assimilation Using a Lorenz Atmosphere and a Simple Pycnocline Ocean Model
    American Meteorological Society ; 2013
    In:  Journal of Climate Vol. 26, No. 24 ( 2013-12-15), p. 10218-10231
    Details
    In: Journal of Climate, American Meteorological Society, Vol. 26, No. 24 ( 2013-12-15), p. 10218-10231
    Abstract: Coupled data assimilation uses a coupled model consisting of multiple time-scale media to extract information from observations that are available in one or more media. Because of the instantaneous exchanges of information among the coupled media, coupled data assimilation is expected to produce self-consistent and physically balanced coupled state estimates and optimal initialization for coupled model predictions. It is also expected that applying coupling error covariance between two media into observational adjustments in these media can provide direct observational impacts crossing the media and thereby improve the assimilation quality. However, because of the different time scales of variability in different media, accurately evaluating the error covariance between two variables residing in different media is usually very difficult. Using an ensemble filter together with a simple coupled model consisting of a Lorenz atmosphere and a pycnocline ocean model, which characterizes the interaction of multiple time-scale media in the climate system, the impact of the accuracy of coupling error covariance on the quality of coupled data assimilation is studied. Results show that it requires a large ensemble size to improve the assimilation quality by applying coupling error covariance in an ensemble coupled data assimilation system, and the poorly estimated coupling error covariance may otherwise degrade the assimilation quality. It is also found that a fast-varying medium has more difficulty being improved using observations in slow-varying media by applying coupling error covariance because the linear regression from the observational increment in slow-varying media has difficulty representing the high-frequency information of the fast-varying medium.
    Type of Medium: Online Resource
    ISSN: 0894-8755 , 1520-0442
    URL: Article
    DOI: 10.1175/JCLI-D-13-00236.1
    RVK:
    UA 4548
    Language: English
    Publisher: American Meteorological Society
    Publication Date: 2013
    detail.hit.zdb_id: 246750-1
    detail.hit.zdb_id: 2021723-7
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