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  • SAGE Publications  (12)
  • 1
    Online Resource
    Online Resource
    Chemical Constituents of the Aerial Part of Valeriana officinalis var. latifolia Miq. With COX-2 Inhibitory Activity
    SAGE Publications ; 2022
    In:  Natural Product Communications Vol. 17, No. 2 ( 2022-02), p. 1934578X2210786-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 17, No. 2 ( 2022-02), p. 1934578X2210786-
    Abstract: Twelve compounds, including a new iridoid (1) and 11 known compounds, were obtained from the aerial part of Valeriana officinalis var. latifolia Miq. Their structures were assigned by spectroscopic and mass spectrometric methods. All isolates were screened in vitro for cyclooxygenase-2 (COX-2) inhibitory activity. Two compounds (9 and 10) exhibited significant COX-2 inhibitory activity, with IC 50 values ranging from 0.67 to 6.77 μM. The possible recognition mechanism between compound 9 and COX-2 was predicted by molecular docking analysis.
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X221078628
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2430442-6
    SSG: 15,3
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  • 2
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    Online Resource
    CD25 Is a Novel Marker of Hepatic Bile Canaliculus
    SAGE Publications ; 2012
    In:  International Journal of Surgical Pathology Vol. 20, No. 5 ( 2012-10), p. 455-461
    Details
    In: International Journal of Surgical Pathology, SAGE Publications, Vol. 20, No. 5 ( 2012-10), p. 455-461
    Abstract: Objective. Although many antigens have been investigated, the method for the bile canaliculus staining using optical microscopy needs to be improved. The aim of the present study was to assess the expression pattern of a candidate marker, CD25, in normal and diseased liver tissue. Methods. Immunohistochemistry, immunofluorescence, and immune electron microscopy assays were performed with 41 liver sections and 2 different anti-CD25 monoclonal antibodies. A polyclonal antibody against carcinoembryonic antigen (CEA) was also used to stain bile canaliculus as a control. CD25 expression levels in normal and diseased liver tissue were also determined. Results. CD25 was predominantly localized at the bile canaliculus of adult and infantile liver, evidenced by both immunohistochemistry and immunofluorescence assays. The electron microscopy assay showed that there were obvious amorphous electron-dense deposits at the bile canaliculus. In contrast, the CEA-positive area included bile canaliculus as well as basolateral aspects of hepatocytes. CD25 expression levels did not differ significantly among different disease states. Conclusion. This study provides the first evidence that CD25 is a novel marker of bile canaliculus. Characteristics of CD25 expression may shed light on immunohistochemistry and immunofluorescence analysis of bile canaliculus in both basic and clinical hepatic investigations.
    Type of Medium: Online Resource
    ISSN: 1066-8969 , 1940-2465
    URL: Article
    DOI: 10.1177/1066896912444158
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
    detail.hit.zdb_id: 2070102-0
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  • 3
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    Emergent Technologies in Big Data Sensing: A Survey
    SAGE Publications ; 2015
    In:  International Journal of Distributed Sensor Networks Vol. 2015 ( 2015), p. 1-13
    Details
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 2015 ( 2015), p. 1-13
    Abstract: When the number of data generating sensors increases and the amount of sensing data grows to a scale that traditional methods cannot handle, big data methods are needed for sensing applications. However, big data is a fuzzy data science concept and there is no existing research architecture for it nor a generic application structure in the field of sensing. In this survey, we explore many scattered results that have been achieved by combining big data techniques with sensing and present our vision of big data in sensing. Firstly, we outline the application categories to generally summarize existing research achievements. Then we discuss the techniques proposed in these studies to demonstrate challenges and opportunities in this field. Finally, we present research trends and list some directions of big data in future sensing. Overall, mobile sensing and its related studies are hot topics, but other large-scale sensing researches are flourishing too. Although there are no “big data” techniques acting as research platforms or infrastructures to support various applications, multiple data science technologies, such as data mining, crowd sensing, and cloud computing, serve as foundations and bases of big data in the world of sensing.
    Type of Medium: Online Resource
    ISSN: 1550-1329 , 1550-1477
    URL: Article
    DOI: 10.1155/2015/902982
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2192922-1
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  • 4
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    Big Data in Future Sensing
    SAGE Publications ; 2015
    In:  International Journal of Distributed Sensor Networks Vol. 2015 ( 2015), p. 1-2
    Details
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 2015 ( 2015), p. 1-2
    Type of Medium: Online Resource
    ISSN: 1550-1329 , 1550-1477
    URL: Article
    DOI: 10.1155/2015/837159
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2192922-1
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  • 5
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    Short-term effect of PM2.5 on stroke in susceptible populations: A case-crossover study
    SAGE Publications ; 2023
    In:  International Journal of Stroke Vol. 18, No. 3 ( 2023-03), p. 312-321
    Details
    In: International Journal of Stroke, SAGE Publications, Vol. 18, No. 3 ( 2023-03), p. 312-321
    Abstract: Fine particulate matter (PM2.5) is a risk factor for stroke, and patients with pre-existing diseases appear to be particularly susceptible. We conducted a case-crossover study to examine the association between short-term exposure to fine particulate matter (PM2.5) and hospital admission for stroke in individuals with atrial fibrillation (AF), hypertension, diabetes, or hyperlipidemia. Methods: Patients diagnosed with acute ischemic stroke (AIS) were recruited from 2015 to 2017 in Chinese Stroke Center Alliances. We estimated daily PM2.5 average exposures with a spatial resolution of 0.1° using a data assimilation approach combining satellite measurements, air model simulations, and monitoring values. Conditional logistic regression was used to assess PM2.5-related stroke risk in patients with pre-existing medical co-morbidities. Results: A total of 155,616 patients diagnosed with AIS were admitted. Patients with a history of AF ( n = 15,430), hypertension ( n = 138,220), diabetes ( n = 43,737), or hyperlipidemia ( n = 16,855) were assessed separately. A 10 µg/m 3 increase in daily PM2.5 was associated with a significant increase in AIS for individuals with AF at lag 4 (odds ratio (OR), 1.008; 95% confidence interval (CI), 1.002–1.014), and with hypertension (OR, 1.008; 95% CI, 1.006–1.010), diabetes (OR, 1.006; 95% CI, 1.003–1.010), and hyperlipidemia (OR, 1.007; 95% CI, 1.001–1.012) at lags 0–7. Elderly (⩾ 65 years old) and female patients with AF had significantly higher associations at lag 5 (OR, 1.009; 95% CI, 1.002–1.015) and lag 5 (OR, 1.010; 95% CI, 1.002–1.018), respectively. Conclusion: Short-term exposure to PM2.5 is significantly associated with hospital admission for stroke in individuals with pre-existing medical histories, especially in older or female patients with AF. Preventive measures to reduce PM2.5 concentrations are particularly important in individuals with other medical co-morbidities.
    Type of Medium: Online Resource
    ISSN: 1747-4930 , 1747-4949
    URL: Article
    DOI: 10.1177/17474930221110024
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2211666-7
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  • 6
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    Risk assessment in systemic lupus erythematosus-associated pulmonary arterial hypertension: CSTAR-PAH cohort study
    SAGE Publications ; 2022
    In:  Therapeutic Advances in Chronic Disease Vol. 13 ( 2022-01), p. 204062232211125-
    Details
    In: Therapeutic Advances in Chronic Disease, SAGE Publications, Vol. 13 ( 2022-01), p. 204062232211125-
    Abstract: This study evaluated the prognostic value of the multivariable risk assessment for systemic lupus erythematosus (SLE)-associated pulmonary arterial hypertension (PAH). Methods: A multicenter prospective cohort of SLE-associated PAH (CSTAR-PAH cohort) diagnosed based on right heart catheterization (RHC) was established. Baseline and follow-up records were collected. Three methods of risk assessment, including (1) the number of low-risk criteria, based on World Health Organization functional class (WHO FC), 6-min walking distance (6MWD), right atrial pressure (RAP), and cardiac index (CI); (2) the three-strata stratification based on the average risk score of four variables (WHO FC, 6MWD, RAP, and CI); and (3) the four-strata stratification based on COMPARE 2.0 model were applied. A risk-assessment method using three noninvasive low-risk criteria was applied at the first follow-up visit. Survival curves between patients with different risk groups were compared by Kaplan–Meier’s estimation and log-rank test. Results: Three-hundred and ten patients were enrolled from 14 PAH centers. All methods of stratification at baseline and first follow-up significantly discriminated long-term survival. Survival rates were also significantly different based on the noninvasive risk assessment in first follow-up visit. Survival deteriorated with the escalation of risk from baseline to first follow-up. Patients with baseline serositis had a higher rate of risk improvement in their follow-up. Conclusion: The risk assessment has a significant prognostic value at both the baseline and first follow-up assessment of SLE-associated PAH. A noninvasive risk assessment can also be useful when RHC is not available during follow-up. Baseline serositis may be a predictor of good treatment response in patients with SLE-associated PAH.
    Type of Medium: Online Resource
    ISSN: 2040-6223 , 2040-6231
    URL: Article
    DOI: 10.1177/20406223221112528
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2554816-5
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  • 7
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    Nomogram Incorporating Contrast-Enhanced Ultrasonography Predicting Time to the Development of Castration-Resistant Prostate Cancer
    SAGE Publications ; 2021
    In:  Clinical Medicine Insights: Oncology Vol. 15 ( 2021-01), p. 117955492110497-
    Details
    In: Clinical Medicine Insights: Oncology, SAGE Publications, Vol. 15 ( 2021-01), p. 117955492110497-
    Abstract: It is valuable to predict the time to the development of castration-resistant prostate cancer (CRPC) in patients with advanced prostate cancer (PCa). This study aimed to build and validate a nomogram incorporating the clinicopathologic characteristics and the parameters of contrast-enhanced ultrasonography (CEUS) to predict the time to CRPC after androgen deprivation therapy (ADT). Methods: Patients with PCa were divided into the training (n = 183) and validation cohorts (n = 37) for nomogram construction and validation. The clinicopathologic characteristics and CEUS parameters were analyzed to determine the independent prognosis factors and serve as the basis of the nomogram to estimate the risk of 1-, 2-, and 3-year progress to CRPC. Results: T stage, distant metastasis, Gleason score, area under the curve (AUC), prostate-specific antigen (PSA) nadir, and time to PSA nadir were the independent predictors of CRPC (all P  〈  0.05). Three nomograms were built to predict the time to CRPC. Owing to the inclusion of CEUS parameter, the discrimination of the established nomogram (C-index: 0.825 and 0.797 for training and validation datasets) was improved compared with the traditional prediction model (C-index: 0.825 and 0.797), and when it excluded posttreatment PSA, it still obtained an acceptable discrimination (C-index: 0.825 and 0.797). Conclusions: The established nomogram including regular prognostic indicators and CEUS obtained an improved accuracy for the prediction of the time to CRPC. It was also applicable for early prediction of CRPC when it excluded posttreatment PSA, which might be helpful for individualized diagnosis and treatment.
    Type of Medium: Online Resource
    ISSN: 1179-5549 , 1179-5549
    URL: Article
    DOI: 10.1177/11795549211049750
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2577877-8
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  • 8
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    Financial implications of dialysis modalities in the developing world: A Chinese perspective
    SAGE Publications ; 2020
    In:  Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis Vol. 40, No. 2 ( 2020-03), p. 193-201
    Details
    In: Peritoneal Dialysis International: Journal of the International Society for Peritoneal Dialysis, SAGE Publications, Vol. 40, No. 2 ( 2020-03), p. 193-201
    Abstract: End-stage renal disease has been imposing a heavy economic burden on public health; however, few studies have been performed on the cost-effectiveness of dialysis modalities. We aim to estimate the cost-effectiveness of different dialysis modalities in China. Methods: Cost-effectiveness analyses were performed using Markov models based on published data of hemodialysis (HD) and peritoneal dialysis (PD) modalities in China. Sensitivity analyses were conducted to identify key variables influencing the results. Results: Over a 10-year time horizon, the base-case cost-effectiveness analysis indicated that PD-first absolutely dominated the HD-first option by gaining 0.13 more quality-adjusted life years (QALYs) and costing RMB ¥81,081 less. When using reported mortality of HD and PD from the United States, the PD-first option still dominated HD-first with higher QALYs and lower costs. Sensitivity analyses revealed that the results were more sensitive to the direct cost of HD, utility of HD, utility of PD, direct cost of PD, PD mortality, and HD mortality, while less sensitive to the indirect costs and transition probabilities. The HD utility needed to be at least 0.148 higher than PD utility for HD to be cost-effective. PD was about 72% likely to be considered cost-effective compared with HD, regardless of the willingness-to-pay for QALYs. Conclusion: PD appears to be more cost-effective than HD in China, and the major influential factors on the cost-effectiveness are the direct costs of HD, utility of HD, utility of PD, direct costs of PD, PD mortality, and HD mortality.
    Type of Medium: Online Resource
    ISSN: 0896-8608 , 1718-4304
    URL: Article
    DOI: 10.1177/0896860819893812
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2075957-5
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  • 9
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    Machine Learning to Dynamically Predict In-Hospital Venous Thromboembolism After Inguinal Hernia Surgery: Results From the CHAT-1 Study
    SAGE Publications ; 2023
    In:  Clinical and Applied Thrombosis/Hemostasis Vol. 29 ( 2023-01), p. 107602962311710-
    Details
    In: Clinical and Applied Thrombosis/Hemostasis, SAGE Publications, Vol. 29 ( 2023-01), p. 107602962311710-
    Abstract: The accuracy of current prediction tools for venous thromboembolism (VTE) events following hernia surgery remains insufficient for individualized patient management strategies. To address this issue, we have developed a machine learning (ML)-based model to dynamically predict in-hospital VTE in Chinese patients after hernia surgery. Methods ML models for the prediction of postoperative VTE were trained on a cohort of 11 305 adult patients with hernia from the CHAT-1 trial, which included patients across 58 institutions in China. In data processing, data imputation was conducted using random forest (RF) algorithm, and balanced sampling was done by adaptive synthetic sampling algorithm. Data were split into a training cohort (80%) and internal validation cohort (20%) prior to oversampling. Clinical features available pre-operatively and postoperatively were separately selected using the Sequence Forward Selection algorithm. Nine-candidate ML models were applied to the pre-operative and combined datasets, and their performance was evaluated using various metrics, including area under the receiver operating characteristic curve (AUROC). Model interpretations were generated using importance scores, which were calculated by transforming model features into scaled variables and representing them in radar plots. Results The modeling cohort included 2856 patients, divided into 2536 cases for derivation and 320 cases for validation. Eleven pre-operative variables and 15 combined variables were explored as predictors related to in-hospital VTE. Acceptable-performing models for pre-operative data had an AUROC ≥ 0.60, including logistic regression, support vector machine with linear kernel (SVM_Linear), attentive interpretable Tabular learning (TabNet), and RF. For combined data, logistic regression, SVM_Linear, and TabNet had better performance, with an AUROC ≥ 0.65 for each model. Based on these models, 7 pre-operative predictors and 10 combined predictors were depicted in radar plots. Conclusions A ML-based approach for the identification of in-hospital VTE events after hernia surgery is feasible. TabNet showed acceptable performance, and might be useful to guide clinical decision making and VTE prevention. Further validated study will strengthen this finding.
    Type of Medium: Online Resource
    ISSN: 1076-0296 , 1938-2723
    URL: Article
    DOI: 10.1177/10760296231171082
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2230591-9
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  • 10
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    Mutation analyses in pedigrees and sporadic cases of ethnic Han Chinese Kallmann syndrome patients
    SAGE Publications ; 2015
    In:  Experimental Biology and Medicine Vol. 240, No. 11 ( 2015-11), p. 1480-1489
    Details
    In: Experimental Biology and Medicine, SAGE Publications, Vol. 240, No. 11 ( 2015-11), p. 1480-1489
    Abstract: Kallmann syndrome, a form of idiopathic hypogonadotropic hypogonadism, is characterized by developmental abnormalities of the reproductive system and abnormal olfaction. Despite association of certain genes with idiopathic hypogonadotropic hypogonadism, the genetic inheritance and expression are complex and incompletely known. In the present study, seven Kallmann syndrome pedigrees in an ethnic Han Chinese population were screened for genetic mutations. The exons and intron–exon boundaries of 19 idiopathic hypogonadotropic hypogonadism (idiopathic hypogonadotropic hypogonadism)-related genes in seven Chinese Kallmann syndrome pedigrees were sequenced. Detected mutations were also tested in 70 sporadic Kallmann syndrome cases and 200 Chinese healthy controls. In pedigrees 1, 2, and 7, the secondary sex characteristics were poorly developed and the patients’ sense of smell was severely or completely lost. We detected a genetic mutation in five of the seven pedigrees: homozygous KAL1 p.R191ter (pedigree 1); homozygous KAL1 p.C13ter (pedigree 2; a novel mutation); heterozygous FGFR1 p.R250W (pedigree 3); and homozygous PROKR2 p.Y113H (pedigrees 4 and 5). No genetic change of the assayed genes was detected in pedigrees 6 and 7. Among the 70 sporadic cases, we detected one homozygous and one heterozygous PROKR2 p.Y113H mutation. This mutation was also detected heterozygously in 2/200 normal controls and its pathogenicity is likely questionable. The genetics and genotype–phenotype relationships in Kallmann syndrome are complicated. Classical monogenic inheritance does not explain the full range of genetic inheritance of Kallmann syndrome patients. Because of stochastic nature of genetic mutations, exome analyses of Kallmann syndrome patients may provide novel insights.
    Type of Medium: Online Resource
    ISSN: 1535-3702 , 1535-3699
    URL: Article
    DOI: 10.1177/1535370215587531
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2020856-X
    SSG: 12
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