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  • 1
    In: Cell Metabolism, Elsevier BV, Vol. 34, No. 11 ( 2022-11), p. 1843-1859.e11
    Type of Medium: Online Resource
    ISSN: 1550-4131
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2022
    detail.hit.zdb_id: 2174469-5
    SSG: 12
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  • 2
    In: Gut, BMJ, Vol. 68, No. 11 ( 2019-11), p. 2019-2031
    Abstract: Hepatocellular carcinoma (HCC) is heterogeneous, especially in multifocal tumours, which decreases the efficacy of clinical treatments. Understanding tumour heterogeneity is critical when developing novel treatment strategies. However, a comprehensive investigation of tumour heterogeneity in HCC is lacking, and the available evidence regarding tumour heterogeneity has not led to improvements in clinical practice. Design We harvested 42 samples from eight HCC patients and evaluated tumour heterogeneity using whole-exome sequencing, RNA sequencing, mass spectrometry-based proteomics and metabolomics, cytometry by time-of-flight, and single-cell analysis. Immunohistochemistry and quantitative polymerase chain reactions were performed to confirm the expression levels of genes. Three independent cohorts were further used to validate the findings. Results Tumour heterogeneity is considerable with regard to the genomes, transcriptomes, proteomes, and metabolomes of lesions and tumours. The immune status of the HCC microenvironment was relatively less heterogenous. Targeting local immunity could be a suitable intervention with balanced precision and practicability. By clustering immune cells in the HCC microenvironment, we identified three distinctive HCC subtypes with immunocompetent, immunodeficient, and immunosuppressive features. We further revealed the specific metabolic features and cytokine/chemokine expression levels of the different subtypes. Determining the expression levels of CD45 and Foxp3 using immunohistochemistry facilitated the correct classification of HCC patients and the prediction of their prognosis. Conclusion There is comprehensive intratumoral and intertumoral heterogeneity in all dimensions of HCC. Based on the results, we propose a novel immunophenotypic classification of HCCs that facilitates prognostic prediction and may support decision making with regard to the choice of therapy.
    Type of Medium: Online Resource
    ISSN: 0017-5749 , 1468-3288
    RVK:
    Language: English
    Publisher: BMJ
    Publication Date: 2019
    detail.hit.zdb_id: 1492637-4
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  • 3
    Online Resource
    Online Resource
    Institute of Electrical and Electronics Engineers (IEEE) ; 2023
    In:  IEEE Transactions on Medical Imaging Vol. 42, No. 8 ( 2023-8), p. 2462-2473
    In: IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers (IEEE), Vol. 42, No. 8 ( 2023-8), p. 2462-2473
    Type of Medium: Online Resource
    ISSN: 0278-0062 , 1558-254X
    RVK:
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2023
    detail.hit.zdb_id: 2068206-2
    detail.hit.zdb_id: 622531-7
    SSG: 12
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  • 4
    In: BioMed Research International, Hindawi Limited, Vol. 2020 ( 2020-09-15), p. 1-8
    Abstract: Background . Drug-induced acute kidney injury (D-AKI) is increasingly common and can extend the hospital length of stay and increase mortality. This study is aimed at analyzing the clinical characteristics of hospitalized patients with D-AKI and the associated risk factors in a multidrug environment. Methods . A retrospective study among hospitalized patients was conducted in July 2019 based on the Adverse Drug Events Active Surveillance and Assessment System-2 developed by the authors. Four controls were matched with each case according to the matching criteria. The risk factors for D-AKI were identified by binary multivariate logistic regression. Results . A total of 23,073 patients were hospitalized in July 2019, 21,131 of whom satisfied the inclusion criteria. The independent risk factors for D-AKI consisted of alcohol abuse (odds ratio (OR), 2.05; 95% confidence interval (CI), 1.04-4.07), nonsteroidal anti-inflammatory drug (NSAID) use (OR, 2.39; 95% CI, 1.25-4.58), diuretic use (OR, 2.64; 95% CI, 1.42-4.92), prior anemia (OR, 4.10; 95% CI, 1.94-8.67), and prior chronic kidney disease (OR, 2.33; 95% CI, 1.07-5.08). Conclusions . The occurrence of D-AKI in hospitalized patients had significant associations with alcohol abuse, combination therapy with NSAIDs or diuretics, and prior anemia or chronic kidney disease. Clinicians should meticulously follow patients with the above characteristics.
    Type of Medium: Online Resource
    ISSN: 2314-6133 , 2314-6141
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2698540-8
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  • 5
    Online Resource
    Online Resource
    Association for the Advancement of Artificial Intelligence (AAAI) ; 2022
    In:  Proceedings of the AAAI Conference on Artificial Intelligence Vol. 36, No. 1 ( 2022-06-28), p. 933-941
    In: Proceedings of the AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), Vol. 36, No. 1 ( 2022-06-28), p. 933-941
    Abstract: Current representation learning methods for whole slide image (WSI) with pyramidal resolutions are inherently homogeneous and flat, which cannot fully exploit the multiscale and heterogeneous diagnostic information of different structures for comprehensive analysis. This paper presents a novel graph neural network-based multiple instance learning framework (i.e., H^2-MIL) to learn hierarchical representation from a heterogeneous graph with different resolutions for WSI analysis. A heterogeneous graph with the “resolution” attribute is constructed to explicitly model the feature and spatial-scaling relationship of multi-resolution patches. We then design a novel resolution-aware attention convolution (RAConv) block to learn compact yet discriminative representation from the graph, which tackles the heterogeneity of node neighbors with different resolutions and yields more reliable message passing. More importantly, to explore the task-related structured information of WSI pyramid, we elaborately design a novel iterative hierarchical pooling (IHPool) module to progressively aggregate the heterogeneous graph based on scaling relationships of different nodes. We evaluated our method on two public WSI datasets from the TCGA project, i.e., esophageal cancer and kidney cancer. Experimental results show that our method clearly outperforms the state-of-the-art methods on both tumor typing and staging tasks.
    Type of Medium: Online Resource
    ISSN: 2374-3468 , 2159-5399
    Language: Unknown
    Publisher: Association for the Advancement of Artificial Intelligence (AAAI)
    Publication Date: 2022
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  • 6
    Online Resource
    Online Resource
    Wiley ; 2021
    In:  British Journal of Clinical Pharmacology Vol. 87, No. 11 ( 2021-11), p. 4304-4312
    In: British Journal of Clinical Pharmacology, Wiley, Vol. 87, No. 11 ( 2021-11), p. 4304-4312
    Abstract: The diagnosis of drug‐induced liver injury (DILI) is relatively complex and involves a wide variety of drugs. The purpose of this study was to use algorithms to quickly screen DILI patients, determine its incidence and identify risk factors. Methods The Adverse Drug Events Active Surveillance and Assessment System‐2 was used to extract the data of patients hospitalized in 2019 according to the set standards and the Roussel Uclaf Causality Assessment Method was used to evaluate patients who met the standards. A retrospective case‐control study was conducted according to suspected drugs, length of hospital stay and height‐ and weight‐matched controls, and logistic regression was used to identify risk factors. Results Among the 156 570 hospitalized patients, 480 patients (499 cases) with DILI were confirmed and the incidence of DILI was 0.32%. Anti‐infective agents, antineoplastic agents and nonsteroidal anti‐inflammatory drugs were the major categories of drugs causing DILI, and the highest incidence of DILI was due to voriconazole. The latency period and hospital stay of patients with cholestasis were both relatively long. Patients with hyperlipidaemia (adjusted odds ratio [AOR] 1.884), cardiovascular disease (AOR 1.465), pre‐existing liver disease (AOR 1.827) and surgical history (AOR 1.312) were at higher risk for DILI. Conclusions The incidence of DILI in hospitalized patients was uncommon (0.32%) and its pathogenic drugs were widely distributed. The incidence of DILI for many drugs has been seriously underestimated. It is recommended to focus on patients with hyperlipidaemia, cardiovascular disease, pre‐existing liver disease and surgical history.
    Type of Medium: Online Resource
    ISSN: 0306-5251 , 1365-2125
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2021
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    SSG: 15,3
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  • 7
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2021
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  • 8
    In: Frontiers in Pharmacology, Frontiers Media SA, Vol. 12 ( 2021-6-14)
    Abstract: Background: Drug-induced acute kidney injury (D-AKI) is associated with increased mortality and longer hospital stays. This study aims to establish a nomogram to predict the occurrence of D-AKI in hospitalized patients in a multi-drug environment. Methods: A single center retrospective study among adult hospitalized patients was conducted from July 2019 to September 2019 based on the Adverse Drug Events Active Surveillance and Assessment System-2 developed by our hospital. According to the propensity score matching algorithm, four controls per case were matched to eliminate the confounding bias caused by individual baseline variables. The predictors for D-AKI were obtained by logistic regression equation and used to establish the nomogram. Results: Among 51,772 hospitalized patients, 332 were diagnosed with D-AKI. After matching, 288 pairs and 1,440 patients were included in the study, including 1,005 cases in the development group and 435 cases in the validation group. Six variables were independent predictors for D-AKI: alcohol abuse, the concurrent use of nonsteroidal anti-inflammatory drugs or diuretics, chronic kidney disease, lower baseline red blood cell count and neutrophil count ≥7 × 10 9 /L. The area under the curve (AUC) of the prediction model in the development group and validation group were 0.787 (95%CI, 0.752–0.823) and 0.788 (95%CI, 0.736–0.840), respectively. The GiViTI calibration belts showed that the model had a good prediction accuracy for the occurrence of D-AKI ( p & gt; 0.05). Conclusion: This nomogram can help identify patients at high risk of D-AKI, which was useful in preventing the progression of D-AKI and treating it in the early stages.
    Type of Medium: Online Resource
    ISSN: 1663-9812
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2587355-6
    SSG: 15,3
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  • 9
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  BMC Infectious Diseases Vol. 23, No. 1 ( 2023-04-07)
    In: BMC Infectious Diseases, Springer Science and Business Media LLC, Vol. 23, No. 1 ( 2023-04-07)
    Abstract: Mycoplasma hominis infection is common in urinary tract. 18 F-FDG-PET/CT is a valuable tool for tumor and infection diagnosis. Few studies have shown the 18 F-FDG-PET/CT images after mycoplasma infection. Case presentation Here we described a case of Waldenstrom macroglobulinemia with thickened bladder wall. The 18 F-FDG-PET/CT showed the SUVmax up to 36.1 mimicking bladder cancer. The results of histopathological examination and metagenomic sequencing of the blood and urinary revealed the Mycoplasma hominis infection. Conclusion The full consideration should be given to the possibility of infection besides tumor in lesions with high SUV value in 18 F-FDG-PET/CT, especially in immunodeficiency patients.
    Type of Medium: Online Resource
    ISSN: 1471-2334
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2041550-3
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  • 10
    Online Resource
    Online Resource
    American Association for the Advancement of Science (AAAS) ; 2023
    In:  Science Vol. 379, No. 6638 ( 2023-03-24)
    In: Science, American Association for the Advancement of Science (AAAS), Vol. 379, No. 6638 ( 2023-03-24)
    Abstract: According to the Food and Agriculture Organization (FAO), there are currently 〉 1 billion ha of land affected by salt. Among these, ~60% are classified as sodic soil areas. These have high pH and are dominated by sodium bicarbonate (NaHCO 3 ) and sodium carbonate (Na 2 CO 3 ). The effects of global warming and a lack of fresh water will lead to 〉 50% of arable land becoming affected by salt by 2050, thus severely affecting the world’s food security. Identifying and/or engineering sodic-tolerant crops is imperative to solve this challenge. Although salinity tolerance has been studied extensively, alkalinity tolerance in plants has not been studied in depth. RATIONALE Sorghum originates from Africa, where it can grow in harsh environments. As a result, sorghum has evolved greater tolerance to adapt to multiple abiotic stresses compared with other crops. Some sorghum varieties can survive in sodic soil with a pH as high as 10.0. A genome-wide association study (GWAS) analysis was performed with a large sorghum association panel consisting of 352 representative sorghum accessions. We detected a major locus, Alkaline tolerance 1 ( AT1 ), linked to alkaline tolerance. We found that AT1 , encoding an atypical G protein γ subunit (a homolog to rice GS3 ), contributes to alkaline sensitivity by modulating the efflux of hydrogen peroxide (H 2 O 2 ) under environmental stress. RESULTS On the basis of the results of the GWAS analysis, we sequenced the cDNA regions of SbAT1 ( Sorghum bicolor AT1 ) in 37 sorghum accessions with different degrees of alkaline sensitivity. Two typical haplotypes (Hap1 and Hap2) of SbAT1 were identified according to the five leading variant sites associated with sorghum alkali sensitivity. Hap1 encodes an intact SbAT1. A frame shift mutation (from “G” to “GGTGGC”) within Hap2 results in a premature stop codon probably encoding a truncated protein with only 136 amino acids at the N terminus (named Sbat1 ). To confirm the function of the AT1 locus, we generated a pair of near-isogenic lines (NILs) with two AT1 haplotypes to assess the allelic effect of AT1 on sorghum tolerance to alkali. We found that the Sbat1 allele (Hap2), encoding a truncated form of SbAT1, increased plant alkaline sensitivity compared with wild-type full-length SbAT1 (Hap1). Overexpression of AT1/GS3 reduced alkaline tolerance in sorghum and rice, and overexpression of the C-terminal truncated AT1/GS3 showed a more severe alkaline sensitive response. This was confirmed in millet and rice, which suggests that AT1/GS3 functions negatively in plant alkali tolerance. By contrast, knockout (ko) of AT1/GS3 increased tolerance to alkaline stress in sorghum, millet, rice, and maize, which indicates a conserved pathway in monocot crops. By immunoprecipitation in combination with mass spectrometry (IP-MS), we found that AT1/GS3 interacts with aquaporin PIP2s that are involved in reactive oxygen species (ROS) homeostasis. Genetic analysis showed that OsPIP2;1 ko /2;2 ko had lower alkaline tolerance than their wild-type control. The redox probe Cyto-roGFP2-Orp1 sensing H 2 O 2 in the cytoplasm was applied. The results showed that, upon alkaline treatment, the relative H 2 O 2 level increased in OsPIP2;1 ko /2;2 ko compared with wild-type plants. These results suggested that the phosphorylation of aquaporins could modulate the efflux of H 2 O 2 . Gγ negatively regulates the phosphorylation of PIP2;1, leading to elevated ROS levels in plants under alkaline stress. To assess the application of the AT1/GS3 gene for crop production, field tests were carried out. We found that the nonfunctional mutant, either obtained from natural varieties or generated by gene editing in several monocots, including sorghum, millet, rice, and maize, can improve the field performance of crops in terms of biomass or grain production when cultivated on sodic lands. CONCLUSION We concluded that SbAT1 encodes an atypical G protein γ subunit and inhibits the phosphorylation of aquaporins that may be used as H 2 O 2 exporters under alkaline stress. With this knowledge, genetically engineered crops with knockouts of AT1 homologs or use of natural nonfunctional alleles could greatly improve crop yield in sodic lands. This may contribute to maximizing the use of global sodic lands to ensure food security. Genetic modification of AT1 enhances alkaline stress tolerance. The Gγ subunit, AT1, pairs with Gβ to negatively modulate the phosphorylation level of PIP2 aquaporins. Thus, AT1 reduces the H 2 O 2 export activity of PIP2s, leading to the overaccumulation of H 2 O 2 and resulting in alkaline stress sensitivity. By contrast, the artificial or natural knockouts of AT1 homologs release the inhibition of PIP2s by AT1 in crops and have improved survival rates and yield under alkaline stress. [Figure created using BioRender]
    Type of Medium: Online Resource
    ISSN: 0036-8075 , 1095-9203
    RVK:
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    Language: English
    Publisher: American Association for the Advancement of Science (AAAS)
    Publication Date: 2023
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    detail.hit.zdb_id: 2066996-3
    detail.hit.zdb_id: 2060783-0
    SSG: 11
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