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  1. Analyzed Page
  2. Matching Content Categories
  3. CMS
  4. Monthly Traffic Estimate
  5. How Does Link.springer.com Make Money
  6. Keywords
  7. Topics
  8. Questions
  9. Schema
  10. External Links
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We are analyzing https://link.springer.com/article/10.1007/s10654-023-01038-9.

Title:
Conventional and genetic associations of adiposity with 1463 proteins in relatively lean Chinese adults | European Journal of Epidemiology
Description:
Adiposity is associated with multiple diseases and traits, but little is known about the causal relevance and mechanisms underlying these associations. Large-scale proteomic profiling, especially when integrated with genetic data, can clarify mechanisms linking adiposity with disease outcomes. We examined the associations of adiposity with plasma levels of 1463 proteins in 3977 Chinese adults, using measured and genetically-instrumented BMI. We further used two-sample bi-directional MR analyses to assess if certain proteins influenced adiposity, along with other (e.g. enrichment) analyses to clarify possible mechanisms underlying the observed associations. Overall, the mean (SD) baseline BMI was 23.9 (3.3) kg/m2, with only 6% being obese (i.e. BMI ≥ 30 kg/m2). Measured and genetically-instrumented BMI was significantly associated at FDR < 0.05 with levels of 1096 (positive/inverse: 826/270) and 307 (positive/inverse: 270/37) proteins, respectively, with FABP4, LEP, IL1RN, LSP1, GOLM2, TNFRSF6B, and ADAMTS15 showing the strongest positive and PON3, NCAN, LEPR, IGFBP2 and MOG showing the strongest inverse genetic associations. These associations were largely linear, in adiposity-to-protein direction, and replicated (> 90%) in Europeans of UKB (mean BMI 27.4 kg/m2). Enrichment analyses of the top > 50 BMI-associated proteins demonstrated their involvement in atherosclerosis, lipid metabolism, tumour progression and inflammation. Two-sample bi-directional MR analyses using cis-pQTLs identified in CKB GWAS found eight proteins (ITIH3, LRP11, SCAMP3, NUDT5, OGN, EFEMP1, TXNDC15, PRDX6) significantly affect levels of BMI, with NUDT5 also showing bi-directional association. The findings among relatively lean Chinese adults identified novel pathways by which adiposity may increase disease risks and novel potential targets for treatment of obesity and obesity-related diseases.
Website Age:
28 years and 1 months (reg. 1997-05-29).

Matching Content Categories {📚}

  • Science
  • Fitness & Wellness
  • Education

Content Management System {📝}

What CMS is link.springer.com built with?

Custom-built

No common CMS systems were detected on Link.springer.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of link.springer.com audience?

🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 5,000,019 visitors per month in the current month.
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How Does Link.springer.com Make Money? {💸}

We find it hard to spot revenue streams.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Link.springer.com could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

proteins, bmi, analyses, associations, genetic, pubmed, article, adiposity, google, scholar, protein, study, participants, ckb, levels, significantly, obesity, cas, china, central, data, multiple, causal, ukb, plasma, chinese, diseases, enrichment, positive, inverse, pathways, observational, fig, bidirectional, gwas, disease, showing, identified, analysis, kgm, itih, body, including, main, research, adults, chen, biobank, traits, cispqtls,

Topics {✒️}

interviewer-administered laptop-based questionnaire showing bi-directional association adult body-mass index sample bi-directional mr sex-combined trans-ancestry gwas bi-directional mr analyses bi-directional mr methods genome-wide association studies nonlinear exposure-outcome relationship bi-directional causal relationship ecm-receptor interaction pathways open access users article download pdf creatine kinase u-type stringent bonferroni-corrected thresholds passed bonferroni-corrected threshold mendelian randomisation estimates fatty acid-binding protein sample mendelian randomization cytokine-mediated signaling pathways pre-determined correction factor body-mass index body mass index joint multiple-snp analysis east asian populations trans-ethnic bmi-gs bi-directional mr tissue-specific expression analyses gs-free bmi strata gs-free bmi startum china kadoorie biobank nested case-cohort study sex-related biological mechanisms genome-wide genotyping data org/site/data+access develop formal collaboration de block ce lean chinese adults multiple adiposity-related traits national key research robert clarke open access larger sample size cell–cell adhesion including protein–protein interactions ecm-receptor interaction multi-testing adjusted threshold junshi chen zhengming chen large-scale proteomic profiling

Questions {❓}

  • The role of Ras-associated protein 1 (Rap1) in cancer: bad actor or good player?

Schema {🗺️}

WebPage:
      mainEntity:
         headline:Conventional and genetic associations of adiposity with 1463 proteins in relatively lean Chinese adults
         description:Adiposity is associated with multiple diseases and traits, but little is known about the causal relevance and mechanisms underlying these associations. Large-scale proteomic profiling, especially when integrated with genetic data, can clarify mechanisms linking adiposity with disease outcomes. We examined the associations of adiposity with plasma levels of 1463 proteins in 3977 Chinese adults, using measured and genetically-instrumented BMI. We further used two-sample bi-directional MR analyses to assess if certain proteins influenced adiposity, along with other (e.g. enrichment) analyses to clarify possible mechanisms underlying the observed associations. Overall, the mean (SD) baseline BMI was 23.9 (3.3) kg/m2, with only 6% being obese (i.e. BMI ≥ 30 kg/m2). Measured and genetically-instrumented BMI was significantly associated at FDR < 0.05 with levels of 1096 (positive/inverse: 826/270) and 307 (positive/inverse: 270/37) proteins, respectively, with FABP4, LEP, IL1RN, LSP1, GOLM2, TNFRSF6B, and ADAMTS15 showing the strongest positive and PON3, NCAN, LEPR, IGFBP2 and MOG showing the strongest inverse genetic associations. These associations were largely linear, in adiposity-to-protein direction, and replicated (> 90%) in Europeans of UKB (mean BMI 27.4 kg/m2). Enrichment analyses of the top > 50 BMI-associated proteins demonstrated their involvement in atherosclerosis, lipid metabolism, tumour progression and inflammation. Two-sample bi-directional MR analyses using cis-pQTLs identified in CKB GWAS found eight proteins (ITIH3, LRP11, SCAMP3, NUDT5, OGN, EFEMP1, TXNDC15, PRDX6) significantly affect levels of BMI, with NUDT5 also showing bi-directional association. The findings among relatively lean Chinese adults identified novel pathways by which adiposity may increase disease risks and novel potential targets for treatment of obesity and obesity-related diseases.
         datePublished:2023-09-07T00:00:00Z
         dateModified:2023-09-07T00:00:00Z
         pageStart:1089
         pageEnd:1103
         license:http://creativecommons.org/licenses/by/4.0/
         sameAs:https://doi.org/10.1007/s10654-023-01038-9
         keywords:
            Obesity
            Body mass index
            Proteomics
            Mendelian randomization analysis
            Drug discovery
            East Asians
            Epidemiology
            Public Health
            Infectious Diseases
            Cardiology
            Oncology
         image:
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         isPartOf:
            name:European Journal of Epidemiology
            issn:
               1573-7284
               0393-2990
            volumeNumber:38
            type:
               Periodical
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            name:Springer Netherlands
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               name:Pang Yao
               affiliation:
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               name:Neil Wright
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               url:http://orcid.org/0000-0001-6423-105X
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                     name:University of Oxford, Old Road Campus
                     address:
                        name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
                        type:PostalAddress
                     type:Organization
                     name:University of Oxford
                     address:
                        name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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               email:[email protected]
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         isAccessibleForFree:1
         type:ScholarlyArticle
      context:https://schema.org
ScholarlyArticle:
      headline:Conventional and genetic associations of adiposity with 1463 proteins in relatively lean Chinese adults
      description:Adiposity is associated with multiple diseases and traits, but little is known about the causal relevance and mechanisms underlying these associations. Large-scale proteomic profiling, especially when integrated with genetic data, can clarify mechanisms linking adiposity with disease outcomes. We examined the associations of adiposity with plasma levels of 1463 proteins in 3977 Chinese adults, using measured and genetically-instrumented BMI. We further used two-sample bi-directional MR analyses to assess if certain proteins influenced adiposity, along with other (e.g. enrichment) analyses to clarify possible mechanisms underlying the observed associations. Overall, the mean (SD) baseline BMI was 23.9 (3.3) kg/m2, with only 6% being obese (i.e. BMI ≥ 30 kg/m2). Measured and genetically-instrumented BMI was significantly associated at FDR < 0.05 with levels of 1096 (positive/inverse: 826/270) and 307 (positive/inverse: 270/37) proteins, respectively, with FABP4, LEP, IL1RN, LSP1, GOLM2, TNFRSF6B, and ADAMTS15 showing the strongest positive and PON3, NCAN, LEPR, IGFBP2 and MOG showing the strongest inverse genetic associations. These associations were largely linear, in adiposity-to-protein direction, and replicated (> 90%) in Europeans of UKB (mean BMI 27.4 kg/m2). Enrichment analyses of the top > 50 BMI-associated proteins demonstrated their involvement in atherosclerosis, lipid metabolism, tumour progression and inflammation. Two-sample bi-directional MR analyses using cis-pQTLs identified in CKB GWAS found eight proteins (ITIH3, LRP11, SCAMP3, NUDT5, OGN, EFEMP1, TXNDC15, PRDX6) significantly affect levels of BMI, with NUDT5 also showing bi-directional association. The findings among relatively lean Chinese adults identified novel pathways by which adiposity may increase disease risks and novel potential targets for treatment of obesity and obesity-related diseases.
      datePublished:2023-09-07T00:00:00Z
      dateModified:2023-09-07T00:00:00Z
      pageStart:1089
      pageEnd:1103
      license:http://creativecommons.org/licenses/by/4.0/
      sameAs:https://doi.org/10.1007/s10654-023-01038-9
      keywords:
         Obesity
         Body mass index
         Proteomics
         Mendelian randomization analysis
         Drug discovery
         East Asians
         Epidemiology
         Public Health
         Infectious Diseases
         Cardiology
         Oncology
      image:
         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs10654-023-01038-9/MediaObjects/10654_2023_1038_Fig1_HTML.png
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         https://media.springernature.com/lw1200/springer-static/image/art%3A10.1007%2Fs10654-023-01038-9/MediaObjects/10654_2023_1038_Fig4_HTML.png
      isPartOf:
         name:European Journal of Epidemiology
         issn:
            1573-7284
            0393-2990
         volumeNumber:38
         type:
            Periodical
            PublicationVolume
      publisher:
         name:Springer Netherlands
         logo:
            url:https://www.springernature.com/app-sn/public/images/logo-springernature.png
            type:ImageObject
         type:Organization
      author:
            name:Pang Yao
            affiliation:
                  name:University of Oxford, Old Road Campus
                  address:
                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
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            name:Andri Iona
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                  name:University of Oxford, Old Road Campus
                  address:
                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
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            name:Christiana Kartsonaki
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                  name:University of Oxford, Old Road Campus
                  address:
                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
                     type:PostalAddress
                  type:Organization
                  name:University of Oxford
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                     name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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                  name:University of Oxford, Old Road Campus
                  address:
                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
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            name:Neil Wright
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                  name:University of Oxford, Old Road Campus
                  address:
                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
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            name:Kuang Lin
            affiliation:
                  name:University of Oxford, Old Road Campus
                  address:
                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
                     type:PostalAddress
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            type:Person
            name:Alfred Pozarickij
            affiliation:
                  name:University of Oxford, Old Road Campus
                  address:
                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
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            name:Iona Millwood
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                  name:University of Oxford, Old Road Campus
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                     name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
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                  name:University of Oxford
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               name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
               type:PostalAddress
            type:Organization
            name:University of Oxford
            address:
               name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
      name:Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
      name:Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
      name:Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
      name:Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:China National Center for Food Safety Risk Assessment, Beijing, China
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
      name:Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Old Road Campus, Oxford, UK
      name:Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK

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