LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 350

Search options

  1. Article ; Online: Tenglong Buzhong granules inhibits the growth of SW620 human colon cancer.

    Miao, L I / Jialu, Zheng / Shuangshuang, Wang / Lei, Chen / Xiao, Peng / Jinfang, Chen / Hongmei, A N / Bing, H U

    Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan

    2022  Volume 42, Issue 5, Page(s) 701–706

    Abstract: Objective: To observe the anticancer effects of the granular preparation of Tenglong Buzhong ... decoction (,TBD), i.e Tenglong Buzhong granules (, TBG), in human SW620 colon cancer.: Methods: BALB/c ...

    Abstract Objective: To observe the anticancer effects of the granular preparation of Tenglong Buzhong decoction (,TBD), i.e Tenglong Buzhong granules (, TBG), in human SW620 colon cancer.
    Methods: BALB/c nude mice were subcutaneously transplanted with SW620 cells, and treated with TBG (2.56 g/kg, once per day) and/or 5-Fu (104 mg/kg, once per week) for 21 d. Apoptosis, Caspase activities and cellular senescence were measured by commercial kits. The protein expression and phosphorylation were detected by Western blot or immunohistochemistry.
    Results: TBG and 5-Fu inhibited tumor growth. The tumor inhibition rate of the TBG, 5-Fu, and TBG+5-Fu groups was 42.25%, 51.58%, and 76.08%, respectively. Combination of TBG and 5-Fu showed synergetic anti-cancer effects. TBG and 5-Fu induced apoptosis, activated caspase-3, -8, and -9, increased SMAC expression, inhibited XIAP expression. TBG induced cellular senescence, upregulated cyclin-dependent kinase inhibitor 1a (CDKN1a) and cyclin-dependent kinase inhibitor 2a (CDKN2a) expression, and inhibited phosphorylation of retinoblastoma-associated protein (RB) and expression of cyclin E1 (CCNE1) and cyclin-dependent kinases (CDK) 2. TBG also inhibited angiogenesis accompanied by downregulation of vascular endothelial growth factor (VEGF) and hypoxia-inducible factor-1α (HIF-1α).
    Conclusions: TBG inhibits SW620 colon cancer growth, induces apoptosis SMAC-XIAP-Caspases signaling, induces cellular senescence through CDKN1a/CDKN2a-RB-E2F signaling, inhibits angiogenesis by down-regulation of HIF-1α and VEGF, and enhances the effects of 5-Fu.
    MeSH term(s) Animals ; Cell Line, Tumor ; Colonic Neoplasms/drug therapy ; Colonic Neoplasms/genetics ; Colonic Neoplasms/metabolism ; Cyclin-Dependent Kinases ; Cyclins ; Fluorouracil ; Humans ; Mice ; Mice, Nude ; Neovascularization, Pathologic/pathology ; Vascular Endothelial Growth Factor A/genetics ; Vascular Endothelial Growth Factor A/metabolism
    Chemical Substances Cyclins ; Vascular Endothelial Growth Factor A ; Cyclin-Dependent Kinases (EC 2.7.11.22) ; Fluorouracil (U3P01618RT)
    Language English
    Publishing date 2022-10-26
    Publishing country China
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 603186-9
    ISSN 2589-451X ; 0254-6272 ; 0255-2922
    ISSN (online) 2589-451X ; 0254-6272
    ISSN 0255-2922
    DOI 10.19852/j.cnki.jtcm.2022.05.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: A Generalized Bootstrap Procedure of the Standard Error and Confidence Interval Estimation for Inverse Probability of Treatment Weighting.

    Li, Tenglong / Lawson, Jordan

    Multivariate behavioral research

    2023  Volume 59, Issue 2, Page(s) 251–265

    Abstract: The inverse probability of treatment weighting (IPTW) approach is commonly used in propensity score analysis to infer causal effects in regression models. Due to oversized IPTW weights and errors associated with propensity score estimation, the IPTW ... ...

    Abstract The inverse probability of treatment weighting (IPTW) approach is commonly used in propensity score analysis to infer causal effects in regression models. Due to oversized IPTW weights and errors associated with propensity score estimation, the IPTW approach can underestimate the standard error of causal effect. To remediate this, bootstrap standard errors have been recommended to replace the IPTW standard error, but the ordinary bootstrap (OB) procedure might still result in underestimation of the standard error because of its inefficient resampling scheme and untreated oversized weights. In this paper, we develop a generalized bootstrap (GB) procedure for estimating the standard error and confidence intervals of the IPTW approach. Compared with the OB procedure and other three procedures in comparison, the GB procedure has the highest precision and yields conservative standard error estimates. As a result, the GB procedure produces short confidence intervals with highest coverage rates. We demonstrate the effectiveness of the GB procedure
    MeSH term(s) Longitudinal Studies ; Confidence Intervals ; Probability ; Propensity Score ; Computer Simulation ; Causality
    Language English
    Publishing date 2023-09-19
    Publishing country United States
    Document type Journal Article
    ISSN 1532-7906
    ISSN (online) 1532-7906
    DOI 10.1080/00273171.2023.2254541
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: m6ACali: machine learning-powered calibration for accurate m6A detection in MeRIP-Seq.

    Ye, Haokai / Li, Tenglong / Rigden, Daniel J / Wei, Zhen

    Nucleic acids research

    2024  

    Abstract: We present m6ACali, a novel machine-learning framework aimed at enhancing the accuracy of N6-methyladenosine (m6A) epitranscriptome profiling by reducing the impact of non-specific antibody enrichment in MeRIP-Seq. The calibration model serves as a ... ...

    Abstract We present m6ACali, a novel machine-learning framework aimed at enhancing the accuracy of N6-methyladenosine (m6A) epitranscriptome profiling by reducing the impact of non-specific antibody enrichment in MeRIP-Seq. The calibration model serves as a genomic feature-based classifier that refines the identification of m6A sites, distinguishing those genuinely present from those that can be detected in in-vitro transcribed (IVT) control experiments. We find that m6ACali effectively identifies non-specific binding peaks reported by exomePeak2 and MACS2 in novel MeRIP-Seq datasets without the need for paired IVT controls. The model interpretation revealed that off-target antibody binding sites commonly occur at short exons and short mRNAs, originating from high read coverage regions that share the motif sequence with true m6A sites. We also reveal that the ML strategy can efficiently adjust differentially methylated peaks and other antibody-dependent, base-resolution m6A detection techniques. As a result, m6ACali offers a promising method for the universal enhancement of m6A profiles generated by MeRIP-Seq experiments, elevating the benchmark for omics-level m6A data integration.
    Language English
    Publishing date 2024-04-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 186809-3
    ISSN 1362-4962 ; 1362-4954 ; 0301-5610 ; 0305-1048
    ISSN (online) 1362-4962 ; 1362-4954
    ISSN 0301-5610 ; 0305-1048
    DOI 10.1093/nar/gkae280
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Investigating the Marginal and Herd Effects of COVID-19 Vaccination for Reducing Case Fatality Rate

    Tenglong Li / Zilong Wang / Shuyue He / Ying Chen

    Vaccines, Vol 11, Iss 1078, p

    Evidence from the United States between March 2021 to January 2022

    2023  Volume 1078

    Abstract: Vaccination campaigns have been rolled out in most countries to increase vaccination coverage and protect against case mortality during the ongoing pandemic. To evaluate the effectiveness of COVID-19 vaccination, it is vital to disentangle the herd ... ...

    Abstract Vaccination campaigns have been rolled out in most countries to increase vaccination coverage and protect against case mortality during the ongoing pandemic. To evaluate the effectiveness of COVID-19 vaccination, it is vital to disentangle the herd effect from the marginal effect and parameterize them separately in a model. To demonstrate this, we study the relationship between the COVID-19 vaccination coverage and case fatality rate (CFR) based on U.S. vaccination coverage at county level, with daily records from 11 March 2021 to 26 January 2022 for 3109 U.S. counties. Using segmented regression, we discovered three breakpoints of the vaccination coverage, at which herd effects could potentially exist. Controlling for county heterogeneity, we found the size of the marginal effect was not constant but actually increased as the vaccination coverage increased, and only the herd effect at the first breakpoint to be statistically significant, which implied an indirect benefit of vaccination may exist at the early stage of a vaccination campaign. Our results demonstrated that public-health researchers should carefully differentiate and quantify the herd and marginal effects when analyzing vaccination data, to better inform vaccination-campaign strategies as well as evaluate vaccination effectiveness.
    Keywords COVID-19 vaccine ; herd effect ; marginal effect ; case fatality rate ; segmented regression ; Medicine ; R
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  5. Article ; Online: Determination of Supporting Time of Tunnels in the Xigeda Stratum Based on the Convergence-Confinement Method

    Zuliang Zhong / Tenglong Tang / Yapeng Li

    Applied Sciences, Vol 13, Iss 24, p

    2023  Volume 13235

    Abstract: The mechanical properties of the surrounding rock of the Xigeda stratum are easily affected by water content. In order to obtain the support characteristics of Xigeda strata, the finite difference method was used to obtain the longitudinal deformation of ...

    Abstract The mechanical properties of the surrounding rock of the Xigeda stratum are easily affected by water content. In order to obtain the support characteristics of Xigeda strata, the finite difference method was used to obtain the longitudinal deformation of the surrounding rock at a certain distance from the tunnel excavation face under different water contents. Then, the longitudinal deformation profiles of a Xigeda stratum tunnel were obtained under different water content conditions. The accuracy and applicability of the results were verified through error analysis and comparison with existing research results. Based on the convergence-confinement principle, it is proposed that the best time to apply support is when the displacement increment of the surrounding rock has a sharp increase point. The support construction time under different water content conditions was obtained with the distance from the tunnel excavation face as the control index. The results show that with the increase in water content, the longitudinal deformation profile’s growth trend is steeper near the excavation surface and it is gentler when the distance from the excavation face becomes large. At a water content of 20%, the support should be applied 2.67 m behind the excavation face; at a water content of 25%, the support should be applied 1.46 m behind the excavation face. The result has a certain guiding significance for the safety of tunnel construction in the Xigeda stratum.
    Keywords convergence-confinement method ; Xigeda stratum ; water content ; longitudinal deformation profile ; supporting time ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 690
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  6. Article ; Online: Spatial-temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021.

    Chen, Ke / Chen, Liang / Yu, Hao / Zhou, Yong / Zhu, Limei / Li, Zhongqi / Li, Tenglong / Martinez, Leonardo / Liu, Qiao / Wang, Bei

    Epidemiology and infection

    2024  , Page(s) 1–25

    Language English
    Publishing date 2024-05-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 632982-2
    ISSN 1469-4409 ; 0950-2688
    ISSN (online) 1469-4409
    ISSN 0950-2688
    DOI 10.1017/S0950268824000785
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Bayesian back-calculation and nowcasting for line list data during the COVID-19 pandemic.

    Tenglong Li / Laura F White

    PLoS Computational Biology, Vol 17, Iss 7, p e

    2021  Volume 1009210

    Abstract: Surveillance is critical to mounting an appropriate and effective response to pandemics. However, aggregated case report data suffers from reporting delays and can lead to misleading inferences. Different from aggregated case report data, line list data ... ...

    Abstract Surveillance is critical to mounting an appropriate and effective response to pandemics. However, aggregated case report data suffers from reporting delays and can lead to misleading inferences. Different from aggregated case report data, line list data is a table contains individual features such as dates of symptom onset and reporting for each reported case and a good source for modeling delays. Current methods for modeling reporting delays are not particularly appropriate for line list data, which typically has missing symptom onset dates that are non-ignorable for modeling reporting delays. In this paper, we develop a Bayesian approach that dynamically integrates imputation and estimation for line list data. Specifically, this Bayesian approach can accurately estimate the epidemic curve and instantaneous reproduction numbers, even with most symptom onset dates missing. The Bayesian approach is also robust to deviations from model assumptions, such as changes in the reporting delay distribution or incorrect specification of the maximum reporting delay. We apply the Bayesian approach to COVID-19 line list data in Massachusetts and find the reproduction number estimates correspond more closely to the control measures than the estimates based on the reported curve.
    Keywords Biology (General) ; QH301-705.5
    Subject code 310 ; 333
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  8. Article: Investigating the Marginal and Herd Effects of COVID-19 Vaccination for Reducing Case Fatality Rate: Evidence from the United States between March 2021 to January 2022.

    Li, Tenglong / Wang, Zilong / He, Shuyue / Chen, Ying

    Vaccines

    2023  Volume 11, Issue 6

    Abstract: Vaccination campaigns have been rolled out in most countries to increase vaccination coverage and protect against case mortality during the ongoing pandemic. To evaluate the effectiveness of COVID-19 vaccination, it is vital to disentangle the herd ... ...

    Abstract Vaccination campaigns have been rolled out in most countries to increase vaccination coverage and protect against case mortality during the ongoing pandemic. To evaluate the effectiveness of COVID-19 vaccination, it is vital to disentangle the herd effect from the marginal effect and parameterize them separately in a model. To demonstrate this, we study the relationship between the COVID-19 vaccination coverage and case fatality rate (CFR) based on U.S. vaccination coverage at county level, with daily records from 11 March 2021 to 26 January 2022 for 3109 U.S. counties. Using segmented regression, we discovered three breakpoints of the vaccination coverage, at which herd effects could potentially exist. Controlling for county heterogeneity, we found the size of the marginal effect was not constant but actually increased as the vaccination coverage increased, and only the herd effect at the first breakpoint to be statistically significant, which implied an indirect benefit of vaccination may exist at the early stage of a vaccination campaign. Our results demonstrated that public-health researchers should carefully differentiate and quantify the herd and marginal effects when analyzing vaccination data, to better inform vaccination-campaign strategies as well as evaluate vaccination effectiveness.
    Language English
    Publishing date 2023-06-09
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines11061078
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Correlation of DNA methylation of DNMT3A and TET2 with oral squamous cell carcinoma.

    Li, Xueming / Li, Zaikun / Gao, Qingxi / Peng, Yanan / Yu, Yang / Hu, Tenglong / Wang, Wei

    Discover. Oncology

    2024  Volume 15, Issue 1, Page(s) 15

    Abstract: Oral squamous cell carcinoma (OSCC) is the sixth most common malignancy worldwide. Abnormal epigenetic modifications, including DNA methylation, are hallmarks of cancer and implicated in the development of various tumors. DNA methylation is catalyzed by ... ...

    Abstract Oral squamous cell carcinoma (OSCC) is the sixth most common malignancy worldwide. Abnormal epigenetic modifications, including DNA methylation, are hallmarks of cancer and implicated in the development of various tumors. DNA methylation is catalyzed by the DNA methyltransferase and ten-eleven translocation dioxygenase families, with DNMT3A and TET2 being the most widely studied members, respectively. The correlation of methylation β values and clinical features was conducted in patients with OSCC in The Cancer Genome Atlas database. DNA methylation and protein expression levels of DNMT3A and TET2 in tissues were analyzed with methylation-specific polymerase chain reaction (MSP) and western blotting. To evaluate the effects of DNMT3A and TET2 on the biological characteristics of OSCC, cell proliferation was assessed with 5-ethynyl-2'-deoxyuridine, and cell migration capacity was quantified with wound healing and transwell assays. A survival analysis was performed with the Kaplan-Meier approach. The correlation between different methylation β values and clinical features was revealed. MSP revealed varying methylation degrees of DNMT3A and TET2 in OSCC tissues. Furthermore, western blotting showed that the protein expression levels were significantly different in cancer and surrounding healthy tissue samples. In vitro experiments demonstrated that DNMT3A knockdown and TET2 overexpression could inhibit the proliferation and migration of OSCC. Survival analysis revealed that patients with high DNMT3A methylation levels showed higher survival rates.
    Language English
    Publishing date 2024-01-22
    Publishing country United States
    Document type Journal Article
    ISSN 2730-6011
    ISSN (online) 2730-6011
    DOI 10.1007/s12672-024-00866-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Joint extremes in precipitation and infectious disease in the USA

    Zhiyan Cai / Yuqing Zhang / Tenglong Li / Ying Chen / Chengxiu Ling

    One Health, Vol 17, Iss , Pp 100636- (2023)

    A bivariate POT study

    2023  

    Abstract: Mounting heavy precipitation events (HPEs) caused by the climate change have drawn wide attention. Increased incidences of infectious diseases are known as the common following health impact, while little has been studied about the extremal relationship ... ...

    Abstract Mounting heavy precipitation events (HPEs) caused by the climate change have drawn wide attention. Increased incidences of infectious diseases are known as the common following health impact, while little has been studied about the extremal relationship in between. Therefore, this study aims to investigate the joint extremes of precipitation and infectious disease mortality rate in the USA, using publicly accessible data from the National Centers for Environmental Information and the Centers for Disease Control and Prevention. The study reveals the positive association between heavy precipitations and infectious diseases with slight national and regional differences using multivariate Peaks-Over-Threshold modelling. The strength of extremal dependence is measured by the extreme parameter α from a logistic dependence model in multivariate extreme value theory. The Midwestern USA shows an excessive impact of HPEs on infectious disease mortality (α=0.7524), while the other regions show similar extremal dependence strength with the national one (α values all approximate 0.77). The study also discovered spatial disparities in the extremal dependences for five sub-categories of infectious diseases in each census region, among which mycoses show the strongest extremal dependence with precipitation in almost all regions. These spatial differences of extremal dependence may be attributed to geographic, social-economic factors and the self-inherited characteristics of certain diseases. The findings are expected to assist in developing strategies counteracting extreme risks resulting from weather events and health issues as well. The cutting-edge multivariate Peaks-Over-Threshold (POT) approach employed herein also shows promise for a wide range of extreme risk assessment topics.
    Keywords Extremal dependence ; Multivariate peaks-over-threshold ; ARIMA ; Extreme precipitation ; Infectious diseases ; Medicine (General) ; R5-920
    Subject code 910
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

To top