27 datasets found
  1. f

    Association between CD14 Promoter -159C/T Polymorphism and the Risk of...

    • plos.figshare.com
    doc
    Updated Jun 5, 2023
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    An-qiang Zhang; Cai-li Yue; Wei Gu; Juan Du; Hai-yan Wang; Jianxin Jiang (2023). Association between CD14 Promoter -159C/T Polymorphism and the Risk of Sepsis and Mortality: A Systematic Review and Meta-Analysis [Dataset]. http://doi.org/10.1371/journal.pone.0071237
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    docAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    An-qiang Zhang; Cai-li Yue; Wei Gu; Juan Du; Hai-yan Wang; Jianxin Jiang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundRecent studies on the association between CD14-159C/T polymorphism and sepsis showed inconclusive results. Accordingly, we conducted a comprehensive literature search and a meta-analysis to determine whether the CD14-159C/T polymorphism conferred susceptibility to sepsis or was associated with increased risk of death from sepsis.MethodologyData were collected from the following electronic databases: PubMed, Embase, Medline, Web of Knowledge, and HuGE Navigator, with the last report up to June 15, 2012. The odds ratio (OR) and 95% confidence interval (CI) were used to assess the strength of association. We summarized the data on the association between CD14-159C/T polymorphism and sepsis in the overall population and subgroup by ethnicity and sepsis subtype.Principal FindingsA total of 16 studies on sepsis morbidity (1369 cases and 2382 controls) and 4 studies on sepsis mortality (731 sepsis patients) met the inclusion criteria for meta-analysis. Overall analysis showed no strong evidences of association with sepsis susceptibility under any genetic model. However, slight associations were found in Asian populations (dominant model: OR = 1.38, 95%CI = 0.96–1.98, P = 0.08) and septic shock patients (dominant model: OR = 1.72, 95%CI 1.05–2.83, P = 0.03; allelic model: OR = 1.52, 95%CI 1.09–2.12, P = 0.01) in the stratified analysis. Moreover, there was borderline association between CD14-159C/T and sepsis mortality under the dominant genetic model (OR = 1.44, 95%CI = 0.98–2.11, P = 0.06).Conclusions/SignificanceThis meta-analysis suggests that the CD14-159C/T polymorphism may not be a significant susceptibility factor in the risk of sepsis and mortality. Only weak associations were observed in Asian populations and septic shock patients. More studies based on larger sample sizes and homogeneous sepsis patients are needed to confirm these findings.

  2. P

    Global CD14 Antibody Market Key Success Factors 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global CD14 Antibody Market Key Success Factors 2025-2032 [Dataset]. https://www.statsndata.org/report/cd14-antibody-market-66676
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    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The CD14 antibody market is witnessing remarkable growth driven by its essential role in immunology and therapeutic applications. CD14 is a glycoprotein primarily found on the surface of monocytes and macrophages, and it plays a crucial role in the recognition of bacterial lipopolysaccharides, making it significant

  3. f

    Dopamine Increases CD14+CD16+ Monocyte Migration and Adhesion in the Context...

    • plos.figshare.com
    • omicsdi.org
    tiff
    Updated May 30, 2023
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    Jacqueline S. Coley; Tina M. Calderon; Peter J. Gaskill; Eliseo A. Eugenin; Joan W. Berman (2023). Dopamine Increases CD14+CD16+ Monocyte Migration and Adhesion in the Context of Substance Abuse and HIV Neuropathogenesis [Dataset]. http://doi.org/10.1371/journal.pone.0117450
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    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jacqueline S. Coley; Tina M. Calderon; Peter J. Gaskill; Eliseo A. Eugenin; Joan W. Berman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Drug abuse is a major comorbidity of HIV infection and cognitive disorders are often more severe in the drug abusing HIV infected population. CD14+CD16+ monocytes, a mature subpopulation of peripheral blood monocytes, are key mediators of HIV neuropathogenesis. Infected CD14+CD16+ monocyte transmigration across the blood brain barrier mediates HIV entry into the brain and establishes a viral reservoir within the CNS. Despite successful antiretroviral therapy, continued influx of CD14+CD16+ monocytes, both infected and uninfected, contributes to chronic neuroinflammation and the development of HIV associated neurocognitive disorders (HAND). Drug abuse increases extracellular dopamine in the CNS. Once in the brain, CD14+CD16+ monocytes can be exposed to extracellular dopamine due to drug abuse. The direct effects of dopamine on CD14+CD16+ monocytes and their contribution to HIV neuropathogenesis are not known. In this study, we showed that CD14+CD16+ monocytes express mRNA for all five dopamine receptors by qRT-PCR and D1R, D5R and D4R surface protein by flow cytometry. Dopamine and the D1-like dopamine receptor agonist, SKF38393, increased CD14+CD16+ monocyte migration that was characterized as chemokinesis. To determine whether dopamine affected cell motility and adhesion, live cell imaging was used to monitor the accumulation of CD14+CD16+ monocytes on the surface of a tissue culture dish. Dopamine increased the number and the rate at which CD14+CD16+ monocytes in suspension settled to the dish surface. In a spreading assay, dopamine increased the area of CD14+CD16+ monocytes during the early stages of cell adhesion. In addition, adhesion assays showed that the overall total number of adherent CD14+CD16+ monocytes increased in the presence of dopamine. These data suggest that elevated extracellular dopamine in the CNS of HIV infected drug abusers contributes to HIV neuropathogenesis by increasing the accumulation of CD14+CD16+ monocytes in dopamine rich brain regions.

  4. CD14 −159 C>T Gene Polymorphism with Increased Risk of Tuberculosis:...

    • plos.figshare.com
    doc
    Updated Jun 6, 2023
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    MY. Areeshi; Raju K. Mandal; Aditya K. Panda; Shekhar C. Bisht; Shafiul Haque (2023). CD14 −159 C>T Gene Polymorphism with Increased Risk of Tuberculosis: Evidence from a Meta-Analysis [Dataset]. http://doi.org/10.1371/journal.pone.0064747
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    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    MY. Areeshi; Raju K. Mandal; Aditya K. Panda; Shekhar C. Bisht; Shafiul Haque
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Cluster of differentiation 14 (CD14) gene is an important component of the human innate immune system and its role in tuberculosis (TB) has been sparsely documented. The enhanced plasma CD14 levels in TB patients as compared to healthy controls are associated with CD14 gene promoter (C-159T) polymorphism. In the past few years, the relationship between CD14 −159 C>T (rs2569190) polymorphism and risk of TB has been reported in various ethnic populations; however, those studies have yielded contradictory results. In this study systemic assessment was done for the published studies based on the association between CD14 −159 C>T polymorphism and TB risk retrieved from PubMed (Medline) and EMBASE search. A total number of 1389 TB cases and 1421 controls were included in this study and meta-analysis was performed to elucidate the association between CD14 −159 C>T polymorphism and its susceptibility towards TB. Pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated for allele contrast, homozygous comparison, heterozygous comparison, dominant and recessive genetic model. It was found that T allele carrier was significantly associated with increased TB risk (T vs. C: p-value = 0.023; OR = 1.305, 95% CI = 1.038 to 1.640). Similarly, homozygous mutant TT genotype also revealed 1.6 fold increased risk of TB (TT vs. CC; p-value = 0.040; OR = 1.652, 95% CI = 1.023 to 2.667). Additionally, dominant genetic model demonstrated increased risk of developing TB (TT vs. CC+CT: p-value = 0.006; OR = 1.585, 95% CI = 1.142 to 2.201). The study demonstrates that CD14 gene (−159 C>T) polymorphism contributes increased susceptibility for TB. Moreover, this meta-analysis also suggests for future larger studies with stratified case control population and biological characterization for validation studies.

  5. m

    Differential proteins in synovitis can cause enhanced chemotaxis and...

    • data.mendeley.com
    Updated Feb 8, 2021
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    Krishnamurithy Genasan (2021). Differential proteins in synovitis can cause enhanced chemotaxis and phagocytic commitment of CD14++CD16- monocyte subtype in osteoarthritic knee [Dataset]. http://doi.org/10.17632/xtctpg67k3.1
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    Dataset updated
    Feb 8, 2021
    Authors
    Krishnamurithy Genasan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Suppl. 1:The consolidated and individual protein list of SDS-PAGE protein bands of OAS and
    TBCS produced from ESI-LCMS/MS QTOF. Suppl. 2: The STRING protein-protein interaction networks and their biological functions based on the gene ontology annotation. Suppl. 3: Absolute protein intensities of MALDI imaging Suppl. 4: CD14+, CD14- and monocyte subtypes CM, ITM and NCM percentage count Suppl. 5: The expression of CCR2, CXCR2 and CX3CR1 receptors on CM population Suppl. 6: The PCR array profile of genes in migrated monocytes Suppl. 7: The qPCR gene expression profile of migrated monocytes Suppl. 8: Phagocytosis analysis of migrated monocytes

  6. f

    Figure S1 - Susceptibility and Response of Human Blood Monocyte Subsets to...

    • plos.figshare.com
    pdf
    Updated Jun 1, 2023
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    Kok Loon Wong; Weiqiang Chen; Thavamalar Balakrishnan; Ying Xiu Toh; Katja Fink; Siew-Cheng Wong (2023). Figure S1 - Susceptibility and Response of Human Blood Monocyte Subsets to Primary Dengue Virus Infection [Dataset]. http://doi.org/10.1371/journal.pone.0036435.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kok Loon Wong; Weiqiang Chen; Thavamalar Balakrishnan; Ying Xiu Toh; Katja Fink; Siew-Cheng Wong
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Infection of whole PBMCs. Whole 1 PBMCs were were exposed to dengue virus or medium without virus. After two days, surface staining of CD14 and CD16, and intracellular staining for NS1 and 4G2 was performed. (A) NS1 and 4G2 expression by gating on the whole CD14+ monocyte population. (B) NS1 and 4G2 expression by gating on the whole CD14− non monocyte population. (C) CD14 and CD16 profiles demonstrating the spontaneous upregulation of CD16 by monocytes after two days of culture. (D) NS1 and 4G2 expression by gating on the CD14+CD16+ monocyte population (E) NS1 and 4G2 expression by gating on the CD14+CD16 monocyte population. (F) Percentage of NS1+ and 4G2 positive cells from the mean + SD of three donors. (PDF)

  7. f

    Table 1_Single-cell analysis of CD14+CD16+ monocytes identifies a...

    • frontiersin.figshare.com
    xlsx
    Updated Feb 20, 2025
    + more versions
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    Vanessa Y. Ruiz; Tina M. Calderon; Rosiris Leon-Rivera; Vanessa Chilunda; Jinghang Zhang; Joan W. Berman (2025). Table 1_Single-cell analysis of CD14+CD16+ monocytes identifies a subpopulation with an enhanced migratory and inflammatory phenotype.xlsx [Dataset]. http://doi.org/10.3389/fimmu.2025.1475480.s001
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    xlsxAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset provided by
    Frontiers
    Authors
    Vanessa Y. Ruiz; Tina M. Calderon; Rosiris Leon-Rivera; Vanessa Chilunda; Jinghang Zhang; Joan W. Berman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Monocytes in the central nervous system (CNS) play a pivotal role in surveillance and homeostasis, and can exacerbate pathogenic processes during injury, infection, or inflammation. CD14+CD16+ monocytes exhibit diverse functions and contribute to neuroinflammatory diseases, including HIV-associated neurocognitive impairment (HIV-NCI). Analysis of human CD14+CD16+ monocytes matured in vitro by single-cell RNA sequencing identified a heterogenous population of nine clusters. Ingenuity pathway analysis of differentially expressed genes in each cluster identified increased migratory and inflammatory pathways for a group of clusters, which we termed Group 1 monocytes. Group 1 monocytes, distinguished by increased ALCAM, CD52, CD63, and SDC2, exhibited gene expression signatures implicated in CNS inflammatory diseases, produced higher levels of CXCL12, IL-1Ra, IL-6, IL-10, TNFα, and ROS, and preferentially transmigrated across a human in vitro blood-brain barrier model. Thus, Group 1 cells within the CD14+CD16+ monocyte subset are likely to be major contributors to neuroinflammatory diseases.

  8. d

    Transcriptome comparison between CCR2+ and CCR2- classical monocytes in...

    • datamed.org
    Updated Mar 16, 2012
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    (2012). Transcriptome comparison between CCR2+ and CCR2- classical monocytes in SIV-infected Macaca nemestrina [Dataset]. https://datamed.org/display-item.php?repository=0006&id=5913b3fe5152c62a9fc2186f&query=CCL2&datatypes=Gene%20Expression
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    Dataset updated
    Mar 16, 2012
    Description

    Monocytes have been categorized in three main subpopulations based on CD14 and CD16 surface expression. Classical monocytes are the most abundant subset in the blood. They express a CD14+CD16-CCR2+ phenotype, which confers on them the ability to migrate to inflammatory sites by quickly responding to CCL2 signaling. Here we identified and characterized the surge and expansion of a novel monocyte subset during SIV and HIV infection. They were undistinguishable from classical monocytes regarding CD14 and CD16 expression, but did not express surface CCR2. Transcriptome analysis of sorted cells confirmed that they represent a distinct subpopulation that expresses lower levels of inflammatory cytokines and activation markers than their CCR2+ counterparts. They exhibited impaired phagocytosis and deficient chemotaxis in response to CCL2 and CCL7, besides being refractory to SIV infection. We named these cells atypical CCR2- classical (ACC) monocytes, and believe they play an important role in AIDS pathogenesis, possibly reflecting an anti-inflammatory response against the extreme immune activation observed during SIV and HIV infection. Antiretroviral therapy caused this population to decline in both macaque and human subjects, suggesting that this atypical phenotype may be induced by viral replication. Expression profiling by NanoString nCounter gene expression system. Classical monocytes (CD14++CD16-) from six SIV-infected macaques (day 14 post inoculation) were sorted in two groups according to CCR2 expression.

  9. Z

    RNAseq of PBMC and sorted subpopulations (CD4, CD8, CD14, CD19) from...

    • data.niaid.nih.gov
    Updated Oct 30, 2023
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    Barnes, Michael (2023). RNAseq of PBMC and sorted subpopulations (CD4, CD8, CD14, CD19) from children [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_10000429
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    Dataset updated
    Oct 30, 2023
    Dataset provided by
    Barnes, Michael
    Lin, Wei-Yu
    Wedderburn, Lucy
    CLUSTER consortium: Childhood arthritis and its associated uveitis: stratification through endotypes and mechanism to deliver benefit
    Wallace, Chris
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The CLUSTER consortium (https://www.clusterconsortium.org.uk/) performed RNA sequencing on bulk and sorted CD4, CD8, CD14 and CD19 cells from the peripheral blood of patients with juvenile idiopathic arthritis and healthy controls. These data were used to examine performance of algorithms to impute cell subset specific expression from the mixed cell population (PBMC). Information and processed read counts are provided here for reproducibility purposes. Raw data (FASTQ) and clinical characteristics will be released when the primary outcome paper from the study is published.

  10. D

    Data from: Pulmonary miRNA expression after polytrauma depends on the...

    • dataverse.nl
    pdf
    Updated Feb 18, 2025
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    Rald Groven; Rald Groven; Martijn van Griensven; Martijn van Griensven (2025). Pulmonary miRNA expression after polytrauma depends on the surgical invasiveness and displays an anti-inflammatory pattern by the combined inhibition of C5 and CD14 [Dataset]. http://doi.org/10.34894/AHA6GU
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    pdf(129503), pdf(173075)Available download formats
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    DataverseNL
    Authors
    Rald Groven; Rald Groven; Martijn van Griensven; Martijn van Griensven
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Background: Respiratory failure can be a severe complication after polytrauma. Extensive systemic inflammation due to surgical interventions, as well as exacerbated post-traumatic immune responses influence the occurrence and progression of respiratory failure. This study investigated the effect of different surgical treatment modalities as well as combined inhibition of the complement component C5 and the toll-like receptor molecule CD14 (C5/CD14 inhibition) on the pulmonary microRNA (miRNA) signature after polytrauma, using a translational porcine polytrauma model. Methods: After induction of general anesthesia, animals were subjected to polytrauma, consisting of blunt chest trauma, bilateral femur fractures, hemorrhagic shock, and liver laceration. One sham group (n=6) and three treatment groups were defined; Early Total Care (ETC, n=8), Damage Control Orthopedics (DCO, n=8), and ETC + C5/CD14 inhibition (n=4). Animals were medically and operatively stabilized, and treated in an ICU setting for 72 h. Lung tissue was sampled, miRNAs were isolated, transcribed, and pooled for qPCR array analyses, followed by validation in the individual animal population. Lastly, mRNA target prediction was performed followed by functional enrichment analyses. Results: The miRNA arrays identified six significantly deregulated miRNAs in lung tissue. In the DCO group, miR-129, miR-192, miR-194, miR-382, and miR-503 were significantly upregulated compared to the ETC group. The miRNA expression profiles in the ETC + C5/CD14 inhibition group approximated those of the DCO group. Bioinformatic analysis revealed mRNA targets and signaling pathways related to alveolar edema, pulmonary fibrosis, inflammation response, and leukocytes recruitment. Collectively, the DCO group, as well as the ETC + C5/CD14 inhibition group, revealed more anti-inflammatory and regenerative miRNA expression profiles. Conclusions: This study showed that reduced surgical invasiveness and combining ETC with C5/CD14 inhibition can contribute to the reduction of pulmonary complications.

  11. Subgroup analysis of CD14 C-260T gene polymorphisms and IBD (CD and UC).

    • plos.figshare.com
    xls
    Updated Jun 3, 2023
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    Zhengting Wang; Jiajia Hu; Rong Fan; Jie Zhou; Jie Zhong (2023). Subgroup analysis of CD14 C-260T gene polymorphisms and IBD (CD and UC). [Dataset]. http://doi.org/10.1371/journal.pone.0045144.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zhengting Wang; Jiajia Hu; Rong Fan; Jie Zhou; Jie Zhong
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abbreviations: OR  =  odds ratio; CI  =  confidence interval; HB  =  Hospital based; PB  =  Population based; NA  =  Not available.

  12. f

    Baseline demographic and clinical characteristics of Russian PLWH recruited...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Anastasia Kholodnaia; Kaku So-Armah; Debbie Cheng; Natalia Gnatienko; Gregory Patts; Jeffrey H. Samet; Matthew Freiberg; Dmitry Lioznov (2023). Baseline demographic and clinical characteristics of Russian PLWH recruited 2012–2015. [Dataset]. http://doi.org/10.1371/journal.pone.0265504.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Anastasia Kholodnaia; Kaku So-Armah; Debbie Cheng; Natalia Gnatienko; Gregory Patts; Jeffrey H. Samet; Matthew Freiberg; Dmitry Lioznov
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Baseline demographic and clinical characteristics of Russian PLWH recruited 2012–2015.

  13. f

    Table_7_Single-cell profiling reveals distinct subsets of CD14+ monocytes...

    • frontiersin.figshare.com
    xlsx
    Updated Jun 3, 2023
    + more versions
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    Hannah Hillman; Nabeela Khan; Akul Singhania; Paige Dubelko; Ferran Soldevila; Rashmi Tippalagama; Aruna D. DeSilva; Bandu Gunasena; Judy Perera; Thomas J. Scriba; Cynthia Ontong; Michelle Fisher; Angelique Luabeya; Randy Taplitz; Gregory Seumois; Pandurangan Vijayanand; Catherine C. Hedrick; Bjoern Peters; Julie G. Burel (2023). Table_7_Single-cell profiling reveals distinct subsets of CD14+ monocytes drive blood immune signatures of active tuberculosis.xlsx [Dataset]. http://doi.org/10.3389/fimmu.2022.1087010.s008
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    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Hannah Hillman; Nabeela Khan; Akul Singhania; Paige Dubelko; Ferran Soldevila; Rashmi Tippalagama; Aruna D. DeSilva; Bandu Gunasena; Judy Perera; Thomas J. Scriba; Cynthia Ontong; Michelle Fisher; Angelique Luabeya; Randy Taplitz; Gregory Seumois; Pandurangan Vijayanand; Catherine C. Hedrick; Bjoern Peters; Julie G. Burel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionPrevious studies suggest that monocytes are an important contributor to tuberculosis (TB)-specific immune signatures in blood.MethodsHere, we carried out comprehensive single-cell profiling of monocytes in paired blood samples of active TB (ATB) patients at diagnosis and mid-treatment, and healthy controls. ResultsAt diagnosis, ATB patients displayed increased monocyte-to-lymphocyte ratio, increased frequency of CD14+CD16- and intermediate CD14+CD16+ monocytes, and upregulation of interferon signaling genes that significantly overlapped with previously reported blood TB signatures in both CD14+ subsets. In this cohort, we identified additional transcriptomic and functional changes in intermediate CD14+CD16+ monocytes, such as the upregulation of inflammatory and MHC-II genes, and increased capacity to activate T cells, reflecting overall increased activation in this population. Single-cell transcriptomics revealed that distinct subsets of intermediate CD14+CD16+ monocytes were responsible for each gene signature, indicating significant functional heterogeneity within this population. Finally, we observed that changes in CD14+ monocytes were transient, as they were no longer observed in the same ATB patients mid-treatment, suggesting they are associated with disease resolution. DiscussionTogether, our study demonstrates for the first time that both intermediate and classical monocytes individually contribute to blood immune signatures of ATB and identifies novel subsets and associated gene signatures that may hold disease relevance.

  14. f

    Data_Sheet_1_A Novel Monocyte Subset as a Unique Signature of...

    • frontiersin.figshare.com
    docx
    Updated Jun 9, 2023
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    Ramona Vinci; Daniela Pedicino; Alice Bonanni; Alessia D’Aiello; Anna Severino; Eugenia Pisano; Myriana Ponzo; Francesco Canonico; Pellegrino Ciampi; Giulio Russo; Marianna Di Sario; Rocco Antonio Montone; Carlo Trani; Cristina Conte; Maria Chiara Grimaldi; Francesco Cribari; Massimo Massetti; Filippo Crea; Giovanna Liuzzo (2023). Data_Sheet_1_A Novel Monocyte Subset as a Unique Signature of Atherosclerotic Plaque Rupture.docx [Dataset]. http://doi.org/10.3389/fcell.2021.753223.s001
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    docxAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    Frontiers
    Authors
    Ramona Vinci; Daniela Pedicino; Alice Bonanni; Alessia D’Aiello; Anna Severino; Eugenia Pisano; Myriana Ponzo; Francesco Canonico; Pellegrino Ciampi; Giulio Russo; Marianna Di Sario; Rocco Antonio Montone; Carlo Trani; Cristina Conte; Maria Chiara Grimaldi; Francesco Cribari; Massimo Massetti; Filippo Crea; Giovanna Liuzzo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The evaluation of monocyte subset distribution among acute coronary syndrome (ACS) patients according to culprit coronary plaque morphology has never been explored. We evaluated whether there were significant differences in frequency of circulating monocyte subsets isolated from ACS patients according to optical coherence tomography (OCT) investigation of plaque erosion and rupture. We enrolled 74 patients with non-ST-elevation ACS (NSTE-ACS), 21 of them underwent OCT investigation of the culprit coronary plaque and local macrophage infiltration (MØI) assessment. As control, we enrolled 30 chronic coronary syndrome (CCS) patients. We assessed the frequency of monocyte subsets in the whole study population, in reliance on their CD14 and CD16 expression (classical, CM: CD14++CD16–; intermediates, IM: CD14++CD16+; non-classical, NCM: CD14+CD16++). Then, we tested the effect of lipopolysaccharide (LPS) (a CD14 ligand) on peripheral blood mononuclear cells (PBMCs) of NSTE-ACS patients, quantifying the inflammatory cytokine levels in cell-culture supernatants. Our data proved that monocyte subsets isolated from NSTE-ACS patients represent a peculiar biological signature of the pathophysiological mechanism lying beneath atherosclerotic plaque with a ruptured fibrous cap (RFC) as compared with plaque erosion. Moreover, the magnitude of LPS-mediated effects on IL-1β, IL-6, and IL-10 cytokine release in cell-culture supernatants appeared to be greater in NSTE-ACS patients with RFC. Finally, we described a fourth monocyte population never explored before in this clinical setting (pre-classical monocytes, PCM: CD14+CD16–) that was prevalent in NSTE-ACS patients as compared with CCS and, especially, in patients with RFC and culprit plaque with MØI.

  15. f

    Table_2_Monocyte subtype expression patterns in septic patients with...

    • figshare.com
    docx
    Updated Jun 21, 2023
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    Dan Ning; Kunal Garg; Benjamin Mayer; Benedikt Schick; Hendrik Bracht; Eberhard Barth; Manfred Weiss; Chen Li; Julian Schneider; E. Marion Schneider (2023). Table_2_Monocyte subtype expression patterns in septic patients with diabetes are distinct from patterns observed in obese patients.docx [Dataset]. http://doi.org/10.3389/fmed.2022.1026298.s003
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    docxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Frontiers
    Authors
    Dan Ning; Kunal Garg; Benjamin Mayer; Benedikt Schick; Hendrik Bracht; Eberhard Barth; Manfred Weiss; Chen Li; Julian Schneider; E. Marion Schneider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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    Description

    BackgroundSepsis causes a high rate of mortality and long-term morbidity, associated with an imbalance of innate immunity against infections and inflammation. Obesity and diabetes increase the risk for disease severity. Monocyte dysfunction plays a major role and justify further investigations.ObjectiveTo investigate the distribution and inflammatory phenotypes in circulating monocyte subsets in patients manifesting with sepsis including septic shock with and without obesity and diabetes.MethodsA total of 235 blood samples were tested from critically ill adult patients registered at the intensive care unit (ICU). The cohorts were divided into non-diabetic groups with or without obesity and diabetic groups with or without obesity, suffering from sepsis or septic shock. We determined frequencies of total monocytes and of monocyte subsets in the circulation and density expression levels of functional markers, including CD14, CD16, HLA-DR, CD33, CD163, CD206, and arginase-1 by flow cytometric analysis.ResultsWhen progressing to septic shock in non-diabetic and diabetic patients, the percentages of total monocytes among the leukocyte population and of CD33+ and CD14+ monocytes among the monocyte population were consistently down-regulated compared to non-sepsis in non-diabetic and diabetic patients, respectively. Non-diabetic sepsis patients further presented with decreased CD33 and up-regulated CD163 expression density, which was absent in diabetic patients. We subsequently addressed obesity-related changes of monocytes in non-diabetic and diabetic septic patients. Obese septic patients with diabetes were unique in displaying increased monocytic CD16 and CD163 expression. However, obese septic patients without diabetes solely presented with lower amounts of non-classical monocytes. Body mass index (BMI) dependent changes were restricted to diabetic septic patients, with a significantly higher diminution of the classical monocyte subset and concomitantly increased CD16 expression densities.ConclusionDistribution and phenotypes of monocyte subsets were differentially modulated in critically ill patients with and without metabolic disease when progressing to sepsis or septic shock. Only diabetic septic patients displayed decline of classical monocytes and increase of CD16 expression densities. Therefore, diabetes but not obesity appears to promote the inflammatory phenotype of circulating monocytes in critically ill patients.

  16. f

    Table_4_Single-cell profiling reveals distinct subsets of CD14+ monocytes...

    • figshare.com
    xlsx
    Updated Jun 3, 2023
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    Hannah Hillman; Nabeela Khan; Akul Singhania; Paige Dubelko; Ferran Soldevila; Rashmi Tippalagama; Aruna D. DeSilva; Bandu Gunasena; Judy Perera; Thomas J. Scriba; Cynthia Ontong; Michelle Fisher; Angelique Luabeya; Randy Taplitz; Gregory Seumois; Pandurangan Vijayanand; Catherine C. Hedrick; Bjoern Peters; Julie G. Burel (2023). Table_4_Single-cell profiling reveals distinct subsets of CD14+ monocytes drive blood immune signatures of active tuberculosis.xlsx [Dataset]. http://doi.org/10.3389/fimmu.2022.1087010.s005
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    xlsxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Hannah Hillman; Nabeela Khan; Akul Singhania; Paige Dubelko; Ferran Soldevila; Rashmi Tippalagama; Aruna D. DeSilva; Bandu Gunasena; Judy Perera; Thomas J. Scriba; Cynthia Ontong; Michelle Fisher; Angelique Luabeya; Randy Taplitz; Gregory Seumois; Pandurangan Vijayanand; Catherine C. Hedrick; Bjoern Peters; Julie G. Burel
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    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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    Description

    IntroductionPrevious studies suggest that monocytes are an important contributor to tuberculosis (TB)-specific immune signatures in blood.MethodsHere, we carried out comprehensive single-cell profiling of monocytes in paired blood samples of active TB (ATB) patients at diagnosis and mid-treatment, and healthy controls. ResultsAt diagnosis, ATB patients displayed increased monocyte-to-lymphocyte ratio, increased frequency of CD14+CD16- and intermediate CD14+CD16+ monocytes, and upregulation of interferon signaling genes that significantly overlapped with previously reported blood TB signatures in both CD14+ subsets. In this cohort, we identified additional transcriptomic and functional changes in intermediate CD14+CD16+ monocytes, such as the upregulation of inflammatory and MHC-II genes, and increased capacity to activate T cells, reflecting overall increased activation in this population. Single-cell transcriptomics revealed that distinct subsets of intermediate CD14+CD16+ monocytes were responsible for each gene signature, indicating significant functional heterogeneity within this population. Finally, we observed that changes in CD14+ monocytes were transient, as they were no longer observed in the same ATB patients mid-treatment, suggesting they are associated with disease resolution. DiscussionTogether, our study demonstrates for the first time that both intermediate and classical monocytes individually contribute to blood immune signatures of ATB and identifies novel subsets and associated gene signatures that may hold disease relevance.

  17. f

    Data_Sheet_3_Integrated Weighted Gene Co-expression Network Analysis...

    • figshare.com
    txt
    Updated Dec 19, 2023
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    Bin Qi; Jian-Hong Chen; Lin Tao; Chuan-Meng Zhu; Yong Wang; Guo-Xiong Deng; Liu Miao (2023). Data_Sheet_3_Integrated Weighted Gene Co-expression Network Analysis Identified That TLR2 and CD14 Are Related to Coronary Artery Disease.CSV [Dataset]. http://doi.org/10.3389/fgene.2020.613744.s003
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    Dataset updated
    Dec 19, 2023
    Dataset provided by
    Frontiers
    Authors
    Bin Qi; Jian-Hong Chen; Lin Tao; Chuan-Meng Zhu; Yong Wang; Guo-Xiong Deng; Liu Miao
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    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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    Description

    The current research attempted to identify possible hub genes and pathways of coronary artery disease (CAD) and to detect the possible mechanisms. Array data from GSE90074 were downloaded from the Gene Expression Omnibus (GEO) database. Integrated weighted gene co-expression network analysis (WGCNA) was performed to analyze the gene module and clinical characteristics. Gene Ontology annotation (GO), Disease Ontology (DO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed by clusterProfiler and the DOSE package in R. A protein-protein interaction (PPI) network was established using Cytoscape software, and significant modules were analyzed using Molecular Complex Detection (MCODE) to identify hub genes. Then, further functional validation of hub genes in other microarrays and population samples was performed, and survival analysis was performed to investigate the prognosis. A total of 660 genes were located in three modules and associated with CAD. GO functions identified 484 biological processes, 39 cellular components, and 22 molecular functions with an adjusted P < 0.05. In total, 38 pathways were enriched in KEGG pathway analysis, and 147 DO items were identified with an adjusted P < 0.05 (false discovery rate, FDR set at < 0.05). There was a total of four modules with a score > 10 after PPI network analysis using the MCODE app, and two hub genes (TLR2 and CD14) were identified. Then, we validated the information from the GSE60993 dataset using the GSE59867 dataset and population samples, and we found that these two genes were associated with plaque vulnerability. These two genes varied at different time points after myocardial infarction, and both of them had the lowest prognosis of heart failure when they were expressed at low levels. We performed an integrated WGCNA and validated that TLR2 and CD14 were closely associated with the severity of coronary artery disease, plaque instability and the prognosis of heart failure after myocardial infarction.

  18. f

    Combined effects of IL-13 or CD14 genetic variations and delivery mode on...

    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    So-Yeon Lee; Jinho Yu; Kang-Mo Ahn; Kyung Won Kim; Youn Ho Shin; Kyung-shin Lee; Seo Ah Hong; Young-ho Jung; Eun Lee; Song-I Yang; Ju-hee Seo; Ji-Won Kwon; Byoung-Ju Kim; Hyo-Bin Kim; Woo-Kyung Kim; Dae Jin Song; Gwang Cheon Jang; Jung Yeon Shim; Soo-Young Lee; Ja-Young Kwon; Suk-Joo Choi; Kyung-Ju Lee; Hee Jin Park; Hye-Sung Won; Ho-Sung Yoo; Mi-Jin Kang; Hyung-Young Kim; Soo-Jong Hong (2023). Combined effects of IL-13 or CD14 genetic variations and delivery mode on the development of atopic dermatitis (AD) at 1 year of age. [Dataset]. http://doi.org/10.1371/journal.pone.0096603.t004
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    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    So-Yeon Lee; Jinho Yu; Kang-Mo Ahn; Kyung Won Kim; Youn Ho Shin; Kyung-shin Lee; Seo Ah Hong; Young-ho Jung; Eun Lee; Song-I Yang; Ju-hee Seo; Ji-Won Kwon; Byoung-Ju Kim; Hyo-Bin Kim; Woo-Kyung Kim; Dae Jin Song; Gwang Cheon Jang; Jung Yeon Shim; Soo-Young Lee; Ja-Young Kwon; Suk-Joo Choi; Kyung-Ju Lee; Hee Jin Park; Hye-Sung Won; Ho-Sung Yoo; Mi-Jin Kang; Hyung-Young Kim; Soo-Jong Hong
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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    Description

    *Adjusted for gestational age at birth, sex, pre-pregnancy maternal body-mass index, maternal age at delivery, maternal education level, prenatal exposure to smoke, prenatal exposure to pets, presence of older sibling(s), and parental history of allergic diseases.

  19. Meta-analysis of CD14-159C/T with sepsis susceptibility.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    An-qiang Zhang; Cai-li Yue; Wei Gu; Juan Du; Hai-yan Wang; Jianxin Jiang (2023). Meta-analysis of CD14-159C/T with sepsis susceptibility. [Dataset]. http://doi.org/10.1371/journal.pone.0071237.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    An-qiang Zhang; Cai-li Yue; Wei Gu; Juan Du; Hai-yan Wang; Jianxin Jiang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    *: F represents fixed-effects model (the Mantel-Haenszel method), R represents random-effects model (the DerSimonian and Laird method). p≥0.10 for the Q-test indicated a lack of heterogeneity across studies, allowing to use the fixed-effects model; otherwise, the random-effects model was used.

  20. DataSheet1_Effect of Intravenous IgM-Enriched Immunoglobulins on Presepsin...

    • frontiersin.figshare.com
    docx
    Updated Jun 1, 2023
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    Giuliana Scarpati; Daniela Baldassarre; Giovanni Tripepi; Massimo Boffardi; Ornella Piazza (2023). DataSheet1_Effect of Intravenous IgM-Enriched Immunoglobulins on Presepsin and Other Sepsis Biomarkers.docx [Dataset]. http://doi.org/10.3389/fphar.2021.717349.s001
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    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Giuliana Scarpati; Daniela Baldassarre; Giovanni Tripepi; Massimo Boffardi; Ornella Piazza
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Patients in septic shock with low IgG and IgM serum concentrations have higher mortality rates compared to those with normal immunoglobulin levels and, therefore, there is a rational explanation to administer intravenous IgM-enriched immunoglobulins to septic patients in ICU. Aim of this study is to evaluate the effectiveness of intravenous IgM-enriched immunoglobulins in decreasing several sepsis biomarker concentrations. 26 sepsis patients were enrolled in this observational cohort study and Nitric Oxide, Endocan, Pentraxin and presepsin serum levels were measured during their first 3 days of ICU stay. The use of intravenous IgM-enriched immunoglobulins did not influence the temporal evolution of SOFA, Nitric Oxide, Endocan, Pentraxin and Presepsin in the first 3 days of ICU stay in a statistically significant manner, even if Presepsin decreased of 25% from day 1 to day 2 in the Pentaglobin group. It seems possible that Pentaglobin infusion reduces the Presepsin level in a more effective way if it were administered to a younger population (p = 0.012). In conclusion, age modifies the response of Presepsin to Pentaglobin and is a critical variable when investigating the effect of intravenous IgM-enriched immunoglobulins on sepsis.

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An-qiang Zhang; Cai-li Yue; Wei Gu; Juan Du; Hai-yan Wang; Jianxin Jiang (2023). Association between CD14 Promoter -159C/T Polymorphism and the Risk of Sepsis and Mortality: A Systematic Review and Meta-Analysis [Dataset]. http://doi.org/10.1371/journal.pone.0071237

Association between CD14 Promoter -159C/T Polymorphism and the Risk of Sepsis and Mortality: A Systematic Review and Meta-Analysis

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17 scholarly articles cite this dataset (View in Google Scholar)
docAvailable download formats
Dataset updated
Jun 5, 2023
Dataset provided by
PLOS ONE
Authors
An-qiang Zhang; Cai-li Yue; Wei Gu; Juan Du; Hai-yan Wang; Jianxin Jiang
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

BackgroundRecent studies on the association between CD14-159C/T polymorphism and sepsis showed inconclusive results. Accordingly, we conducted a comprehensive literature search and a meta-analysis to determine whether the CD14-159C/T polymorphism conferred susceptibility to sepsis or was associated with increased risk of death from sepsis.MethodologyData were collected from the following electronic databases: PubMed, Embase, Medline, Web of Knowledge, and HuGE Navigator, with the last report up to June 15, 2012. The odds ratio (OR) and 95% confidence interval (CI) were used to assess the strength of association. We summarized the data on the association between CD14-159C/T polymorphism and sepsis in the overall population and subgroup by ethnicity and sepsis subtype.Principal FindingsA total of 16 studies on sepsis morbidity (1369 cases and 2382 controls) and 4 studies on sepsis mortality (731 sepsis patients) met the inclusion criteria for meta-analysis. Overall analysis showed no strong evidences of association with sepsis susceptibility under any genetic model. However, slight associations were found in Asian populations (dominant model: OR = 1.38, 95%CI = 0.96–1.98, P = 0.08) and septic shock patients (dominant model: OR = 1.72, 95%CI 1.05–2.83, P = 0.03; allelic model: OR = 1.52, 95%CI 1.09–2.12, P = 0.01) in the stratified analysis. Moreover, there was borderline association between CD14-159C/T and sepsis mortality under the dominant genetic model (OR = 1.44, 95%CI = 0.98–2.11, P = 0.06).Conclusions/SignificanceThis meta-analysis suggests that the CD14-159C/T polymorphism may not be a significant susceptibility factor in the risk of sepsis and mortality. Only weak associations were observed in Asian populations and septic shock patients. More studies based on larger sample sizes and homogeneous sepsis patients are needed to confirm these findings.

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