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{"title"=>"Leukocyte telomere length in young adults born preterm: Support for accelerated biological ageing", "type"=>"journal", "authors"=>[{"first_name"=>"Carolina C.J.", "last_name"=>"Smeets", "scopus_author_id"=>"57103353500"}, {"first_name"=>"Veryan", "last_name"=>"Codd", "scopus_author_id"=>"6507187491"}, {"first_name"=>"Nilesh J.", "last_name"=>"Samani", "scopus_author_id"=>"7004345054"}, {"first_name"=>"Anita C.S.", "last_name"=>"Hokken-Koelega", "scopus_author_id"=>"7006836079"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84957545527", "pmid"=>"26619005", "scopus"=>"2-s2.0-84957545527", "issn"=>"19326203", "pui"=>"608067638", "doi"=>"10.1371/journal.pone.0143951"}, "id"=>"c77a2e1e-c0f2-3f65-84fe-3970dbe6c588", "abstract"=>"BACKGROUND: Subjects born preterm have an increased risk for age-associated diseases, such as cardiovascular disease in later life, but the underlying causes are largely unknown. Shorter leukocyte telomere length (LTL), a marker of biological age, is associated with increased risk of cardiovascular disease.\\n\\nOBJECTIVES: To compare LTL between subjects born preterm and at term and to assess if LTL is associated with other putative cardiovascular risk factors at young adult age.\\n\\nMETHODS: We measured mean LTL in 470 young adults. LTL was measured using a quantitative PCR assay and expressed as T/S ratio. We analyzed the influence of gestational age on LTL and compared LTL between subjects born preterm (n = 186) and at term (n = 284). Additionally, we analyzed the correlation between LTL and potential risk factors of cardiovascular disease.\\n\\nRESULTS: Gestational age was positively associated with LTL (r = 0.11, p = 0.02). Subjects born preterm had shorter LTL (mean (SD) T/S ratio = 3.12 (0.44)) than subjects born at term (mean (SD) T/S ratio = 3.25 (0.46)), p = 0.003). The difference remained significant after adjustment for gender and size at birth (p = 0.001). There was no association of LTL with any one of the putative risk factors analyzed.\\n\\nCONCLUSIONS: Young adults born preterm have shorter LTL than young adults born at term. Although we found no correlation between LTL and risk for CVD at this young adult age, this biological ageing indicator may contribute to CVD and other adult onset diseases at a later age in those born preterm.", "link"=>"http://www.mendeley.com/research/leukocyte-telomere-length-young-adults-born-preterm-support-accelerated-biological-ageing", "reader_count"=>17, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>2, "Student > Bachelor"=>3}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>2, "Student > Bachelor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>1, "Agricultural and Biological Sciences"=>5, "Medicine and Dentistry"=>5, "Social Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"United States"=>2}, "group_count"=>1}

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• http://doi.org/10.1016/j.redox.2018.04.022
• http://doi.org/10.1186/s40348-016-0052-8
• http://doi.org/10.1371/journal.pone.0180082
• http://doi.org/10.1016/j.ajog.2019.01.218
• http://doi.org/10.1111/apa.14294
• http://doi.org/10.1177/1087054719865776
• http://doi.org/10.1111/apa.13880
• http://doi.org/10.1002/ajhb.23299
• http://doi.org/10.1111/mcn.12857

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• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/84a04bd3-c66e-49e5-914b-fceafd025a76", "title"=>"Telomere attrition and aging", "body"=>"Smeets, Codd, Samani, and Hokken-Koelega (2015) present some fascinating findings on the apparent effect of preterm birth on telomere length (1). They point to the cumulative progression toward cell senescence as being a possible factor in later life effects of preterm birth. However, these results also bring to mind the work of Robin, et al. (2014) where they found that chromosomal looping, which brings telomere ends toward certain genes, might influence gene expression and that when telomeres are shorter, they might not be able to reach these genes to influence their expression (2). This indicates that telomere attrition might play a role in disease processes long before cell senescence becomes a factor. The implication of this is that life stresses, such as preterm birth or perhaps other stresses, which accelerate telomere attrition, might lead to increased risk of the diseases of aging even before cell senescence factors in.\n\nAbout the author:\nwww.CeliaMRoss.com\n\nhttps://www.linkedin.com/in/celia-ross-25236a45\n(Professional connections through LinkedIn welcomed)\n\n(1)\tSmeets CC, Codd V, Samani NJ, Hokken-Koelega AC. (2015) Leukocyte Telomere Length in Young Adults Born Preterm: Support for Accelerated Biological Ageing. PLoS One. 10(11):e0143951.\n(2)\tRobin JD, et al. Telomere position effect: regulation of gene expression with progressive telomere shortening over long distances. (2014). Genes & Development. 28(22):2464-76.\n", "isRemoved"=>false, "created"=>"2015-12-16T12:53:38Z", "lastModified"=>"2015-12-16T12:53:38Z", "creator"=>{"userId"=>"61337"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>true, "hasCompetingInterests"=>true, "body"=>"I write about health topics"}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0143951", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2015-12-16T12:53:38Z", "replies"=>[]}

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• {"files"=>["https://ndownloader.figshare.com/files/2594647"], "description"=>"<p>¹Values are given as mean (sd).</p><p>²Values are given as median (IQR).</p><p>p-values below 0.05 are shown in bold type. Preterm = gestational age <37 wks, at term = gestational age >37 wks. BMI = Body mass index; DBP = diastolic blood pressure; HDLc = high-density lipoprotein cholesterol; hsCRP = C-reactive protein; LDLc = low-density lipoprotein cholesterol; SBP = systolic blood pressure; SES = Socioeconomic status; Si = Insulin sensitivity; TC = Total cholesterol; Tg = triglycerides.</p><p>Clinical characteristics and risk factors for CVD of the total study population and the subjects born preterm and at term.</p>", "links"=>[], "tags"=>["adult onset diseases", "pcr", "cvd", "preterm", "risk factors", "leukocyte telomere length", "sd", "ltl", "Biological Ageing BackgroundSubjects", "risk factors analyzed.ConclusionsYoung adults"], "article_id"=>1614401, "categories"=>["Uncategorised"], "users"=>["Carolina C. J. Smeets", "Veryan Codd", "Nilesh J. Samani", "Anita C. S. Hokken-Koelega"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143951.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clinical_characteristics_and_risk_factors_for_CVD_of_the_total_study_population_and_the_subjects_born_preterm_and_at_term_/1614401", "title"=>"Clinical characteristics and risk factors for CVD of the total study population and the subjects born preterm and at term.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-11-30 03:30:52"}
• {"files"=>["https://ndownloader.figshare.com/files/2594648"], "description"=>"<p>p-values below 0.05 are shown in bold type. GA = Gestational age; BL*AH = Interaction term birth length * adult height. SES = Socioeconomic status (Low and middle socioeconomic status are used as reference for SES analyses).</p><p>Multiple regression for variables influencing telomere length in the total study population.</p>", "links"=>[], "tags"=>["adult onset diseases", "pcr", "cvd", "preterm", "risk factors", "leukocyte telomere length", "sd", "ltl", "Biological Ageing BackgroundSubjects", "risk factors analyzed.ConclusionsYoung adults"], "article_id"=>1614402, "categories"=>["Uncategorised"], "users"=>["Carolina C. J. Smeets", "Veryan Codd", "Nilesh J. Samani", "Anita C. S. Hokken-Koelega"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143951.t002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multiple_regression_for_variables_influencing_telomere_length_in_the_total_study_population_/1614402", "title"=>"Multiple regression for variables influencing telomere length in the total study population.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-11-30 03:30:52"}
• {"files"=>["https://ndownloader.figshare.com/files/2594649"], "description"=>"<p>p-values below 0.05 are shown in bold type. ß coefficients equate to the difference in telomere length per unit change in the variable. DBP = diastolic blood pressure; HDLc = high-density lipoprotein cholesterol; hsCRP = C-reactive protein; LDLc = low-density lipoprotein cholesterol; SBP = systolic blood pressure; Si = Insulin sensitivity; TC = Total cholesterol; Tg = triglycerides. The variable preterm equates to the difference between subjects born preterm and the reference group subjects born at term.</p><p>¹ = Adjusted for gender, birth weight SDS and birth length SDS.</p><p>Relation of telomere length with preterm birth and cardiovascular risk factors.</p>", "links"=>[], "tags"=>["adult onset diseases", "pcr", "cvd", "preterm", "risk factors", "leukocyte telomere length", "sd", "ltl", "Biological Ageing BackgroundSubjects", "risk factors analyzed.ConclusionsYoung adults"], "article_id"=>1614403, "categories"=>["Uncategorised"], "users"=>["Carolina C. J. Smeets", "Veryan Codd", "Nilesh J. Samani", "Anita C. S. Hokken-Koelega"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143951.t003", "stats"=>{"downloads"=>1, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relation_of_telomere_length_with_preterm_birth_and_cardiovascular_risk_factors_/1614403", "title"=>"Relation of telomere length with preterm birth and cardiovascular risk factors.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-11-30 03:30:52"}
• {"files"=>["https://ndownloader.figshare.com/files/2594650"], "description"=>"<div><p>Background</p><p>Subjects born preterm have an increased risk for age-associated diseases, such as cardiovascular disease in later life, but the underlying causes are largely unknown. Shorter leukocyte telomere length (LTL), a marker of biological age, is associated with increased risk of cardiovascular disease.</p><p>Objectives</p><p>To compare LTL between subjects born preterm and at term and to assess if LTL is associated with other putative cardiovascular risk factors at young adult age.</p><p>Methods</p><p>We measured mean LTL in 470 young adults. LTL was measured using a quantitative PCR assay and expressed as T/S ratio. We analyzed the influence of gestational age on LTL and compared LTL between subjects born preterm (n = 186) and at term (n = 284). Additionally, we analyzed the correlation between LTL and potential risk factors of cardiovascular disease.</p><p>Results</p><p>Gestational age was positively associated with LTL (<i>r</i> = 0.11, p = 0.02). Subjects born preterm had shorter LTL (mean (SD) T/S ratio = 3.12 (0.44)) than subjects born at term (mean (SD) T/S ratio = 3.25 (0.46)), p = 0.003). The difference remained significant after adjustment for gender and size at birth (p = 0.001). There was no association of LTL with any one of the putative risk factors analyzed.</p><p>Conclusions</p><p>Young adults born preterm have shorter LTL than young adults born at term. Although we found no correlation between LTL and risk for CVD at this young adult age, this biological ageing indicator may contribute to CVD and other adult onset diseases at a later age in those born preterm.</p></div>", "links"=>[], "tags"=>["adult onset diseases", "pcr", "cvd", "preterm", "risk factors", "leukocyte telomere length", "sd", "ltl", "Biological Ageing BackgroundSubjects", "risk factors analyzed.ConclusionsYoung adults"], "article_id"=>1614404, "categories"=>["Uncategorised"], "users"=>["Carolina C. J. Smeets", "Veryan Codd", "Nilesh J. Samani", "Anita C. S. Hokken-Koelega"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143951", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Leukocyte_Telomere_Length_in_Young_Adults_Born_Preterm_Support_for_Accelerated_Biological_Ageing_/1614404", "title"=>"Leukocyte Telomere Length in Young Adults Born Preterm: Support for Accelerated Biological Ageing", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-11-30 03:30:52"}
• {"files"=>["https://ndownloader.figshare.com/files/2594645"], "description"=>"<p>T/S ratio = Telomere to single-gene copy ratio; Preterm = gestational age < 37 wks; The horizontal bars represent the mean values.</p>", "links"=>[], "tags"=>["adult onset diseases", "pcr", "cvd", "preterm", "risk factors", "leukocyte telomere length", "sd", "ltl", "Biological Ageing BackgroundSubjects", "risk factors analyzed.ConclusionsYoung adults"], "article_id"=>1614399, "categories"=>["Uncategorised"], "users"=>["Carolina C. J. Smeets", "Veryan Codd", "Nilesh J. Samani", "Anita C. S. Hokken-Koelega"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143951.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distributions_of_mean_telomere_lengths_in_subjects_born_preterm_and_at_term_/1614399", "title"=>"Distributions of mean telomere lengths in subjects born preterm and at term.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-30 03:30:52"}

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• {"unique-ip"=>"8", "full-text"=>"4", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}

F1000Prime