Monocyte subsets display age-dependent alterations at fasting and undergo non-age-dependent changes following consumption of a meal
Background Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately...
Saved in:
| Published in | Immunity & ageing Vol. 19; no. 1; pp. 1 - 13 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central Ltd
14.09.2022
BioMed Central BMC |
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Background Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately in the postprandial state during waking hours. As hormonal, metabolic, and immunological changes in response to the consumption of a meal are manifested in postprandial blood, it's unclear how age-dependent changes in peripheral monocytes at fasting are impacted by a dietary challenge. Objective We investigated the impact of age and meal consumption on circulating monocyte frequencies and subsets defined as classical (CD14 + CD16-), intermediate (CD14 + CD16 +), or non-classical (CD14dim CD16 +) in a cohort of 349 healthy adult volunteers grouped into categories based on their age: young adults (18-33 y, n = 123), middle adults (34-49 y, n = 115), and older adults (50-66 y, n = 111). Results Following 12-h fast total monocyte counts inversely correlated with subject age. Older adults had significantly fewer circulating monocytes along with elevated levels of TGs, cholesterol, glucose, IL-6, IL-8, TNF, neopterin, and CCL2 compared with young adults. Circulating monocyte pools in older adults consisted of smaller proportions of classical but larger proportions of intermediate and non-classical monocytes. Proportions of classical monocytes were inversely correlated with plasma TNF, IL-8, and neopterin while intermediate monocytes were positively correlated with plasma IL-6, TNF, and neopterin. Three hours after consuming a fat-containing meal postprandial monocyte counts increased in all age groups. Despite age-dependent differences in monocyte subsets at fasting, consumption of a meal induced similar changes in the proportions of classical and non-classical monocytes across age groups. Within the circulating postprandial monocyte pool, percentages of classical monocytes decreased while non-classical monocytes increased. However no change in precursory intermediate monocytes were detected. Our study confirms that ageing is associated with changes in monocyte frequencies and subsets and shows that consuming a fat-containing meal induces temporal changes in monocyte frequency and subsets independently of subject age. Clinical trial Registered on ClincialTrials.gov (Identifier: NCT02367287) Keywords: Monocyte, Postprandial, Fasting, Ageing, Classical, Intermediate, Non-classical, Patrolling, Inflammation, Inflammaging |
|---|---|
| AbstractList | Abstract Background Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately in the postprandial state during waking hours. As hormonal, metabolic, and immunological changes in response to the consumption of a meal are manifested in postprandial blood, it’s unclear how age-dependent changes in peripheral monocytes at fasting are impacted by a dietary challenge. Objective We investigated the impact of age and meal consumption on circulating monocyte frequencies and subsets defined as classical (CD14 + CD16-), intermediate (CD14 + CD16 +), or non-classical (CD14dim CD16 +) in a cohort of 349 healthy adult volunteers grouped into categories based on their age: young adults (18–33 y, n = 123), middle adults (34–49 y, n = 115), and older adults (50–66 y, n = 111). Results Following 12-h fast total monocyte counts inversely correlated with subject age. Older adults had significantly fewer circulating monocytes along with elevated levels of TGs, cholesterol, glucose, IL-6, IL-8, TNF, neopterin, and CCL2 compared with young adults. Circulating monocyte pools in older adults consisted of smaller proportions of classical but larger proportions of intermediate and non-classical monocytes. Proportions of classical monocytes were inversely correlated with plasma TNF, IL-8, and neopterin while intermediate monocytes were positively correlated with plasma IL-6, TNF, and neopterin. Three hours after consuming a fat-containing meal postprandial monocyte counts increased in all age groups. Despite age-dependent differences in monocyte subsets at fasting, consumption of a meal induced similar changes in the proportions of classical and non-classical monocytes across age groups. Within the circulating postprandial monocyte pool, percentages of classical monocytes decreased while non-classical monocytes increased. However no change in precursory intermediate monocytes were detected. Our study confirms that ageing is associated with changes in monocyte frequencies and subsets and shows that consuming a fat-containing meal induces temporal changes in monocyte frequency and subsets independently of subject age. Clinical trial Registered on ClincialTrials.gov (Identifier: NCT02367287) Background Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately in the postprandial state during waking hours. As hormonal, metabolic, and immunological changes in response to the consumption of a meal are manifested in postprandial blood, it's unclear how age-dependent changes in peripheral monocytes at fasting are impacted by a dietary challenge. Objective We investigated the impact of age and meal consumption on circulating monocyte frequencies and subsets defined as classical (CD14 + CD16-), intermediate (CD14 + CD16 +), or non-classical (CD14dim CD16 +) in a cohort of 349 healthy adult volunteers grouped into categories based on their age: young adults (18-33 y, n = 123), middle adults (34-49 y, n = 115), and older adults (50-66 y, n = 111). Results Following 12-h fast total monocyte counts inversely correlated with subject age. Older adults had significantly fewer circulating monocytes along with elevated levels of TGs, cholesterol, glucose, IL-6, IL-8, TNF, neopterin, and CCL2 compared with young adults. Circulating monocyte pools in older adults consisted of smaller proportions of classical but larger proportions of intermediate and non-classical monocytes. Proportions of classical monocytes were inversely correlated with plasma TNF, IL-8, and neopterin while intermediate monocytes were positively correlated with plasma IL-6, TNF, and neopterin. Three hours after consuming a fat-containing meal postprandial monocyte counts increased in all age groups. Despite age-dependent differences in monocyte subsets at fasting, consumption of a meal induced similar changes in the proportions of classical and non-classical monocytes across age groups. Within the circulating postprandial monocyte pool, percentages of classical monocytes decreased while non-classical monocytes increased. However no change in precursory intermediate monocytes were detected. Our study confirms that ageing is associated with changes in monocyte frequencies and subsets and shows that consuming a fat-containing meal induces temporal changes in monocyte frequency and subsets independently of subject age. Clinical trial Registered on ClincialTrials.gov (Identifier: NCT02367287) Keywords: Monocyte, Postprandial, Fasting, Ageing, Classical, Intermediate, Non-classical, Patrolling, Inflammation, Inflammaging Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately in the postprandial state during waking hours. As hormonal, metabolic, and immunological changes in response to the consumption of a meal are manifested in postprandial blood, it's unclear how age-dependent changes in peripheral monocytes at fasting are impacted by a dietary challenge. We investigated the impact of age and meal consumption on circulating monocyte frequencies and subsets defined as classical (CD14 + CD16-), intermediate (CD14 + CD16 +), or non-classical (CD14dim CD16 +) in a cohort of 349 healthy adult volunteers grouped into categories based on their age: young adults (18-33 y, n = 123), middle adults (34-49 y, n = 115), and older adults (50-66 y, n = 111). Following 12-h fast total monocyte counts inversely correlated with subject age. Older adults had significantly fewer circulating monocytes along with elevated levels of TGs, cholesterol, glucose, IL-6, IL-8, TNF, neopterin, and CCL2 compared with young adults. Circulating monocyte pools in older adults consisted of smaller proportions of classical but larger proportions of intermediate and non-classical monocytes. Proportions of classical monocytes were inversely correlated with plasma TNF, IL-8, and neopterin while intermediate monocytes were positively correlated with plasma IL-6, TNF, and neopterin. Three hours after consuming a fat-containing meal postprandial monocyte counts increased in all age groups. Despite age-dependent differences in monocyte subsets at fasting, consumption of a meal induced similar changes in the proportions of classical and non-classical monocytes across age groups. Within the circulating postprandial monocyte pool, percentages of classical monocytes decreased while non-classical monocytes increased. However no change in precursory intermediate monocytes were detected. Our study confirms that ageing is associated with changes in monocyte frequencies and subsets and shows that consuming a fat-containing meal induces temporal changes in monocyte frequency and subsets independently of subject age. Background Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately in the postprandial state during waking hours. As hormonal, metabolic, and immunological changes in response to the consumption of a meal are manifested in postprandial blood, it’s unclear how age-dependent changes in peripheral monocytes at fasting are impacted by a dietary challenge. Objective We investigated the impact of age and meal consumption on circulating monocyte frequencies and subsets defined as classical (CD14 + CD16-), intermediate (CD14 + CD16 +), or non-classical (CD14dim CD16 +) in a cohort of 349 healthy adult volunteers grouped into categories based on their age: young adults (18–33 y, n = 123), middle adults (34–49 y, n = 115), and older adults (50–66 y, n = 111). Results Following 12-h fast total monocyte counts inversely correlated with subject age. Older adults had significantly fewer circulating monocytes along with elevated levels of TGs, cholesterol, glucose, IL-6, IL-8, TNF, neopterin, and CCL2 compared with young adults. Circulating monocyte pools in older adults consisted of smaller proportions of classical but larger proportions of intermediate and non-classical monocytes. Proportions of classical monocytes were inversely correlated with plasma TNF, IL-8, and neopterin while intermediate monocytes were positively correlated with plasma IL-6, TNF, and neopterin. Three hours after consuming a fat-containing meal postprandial monocyte counts increased in all age groups. Despite age-dependent differences in monocyte subsets at fasting, consumption of a meal induced similar changes in the proportions of classical and non-classical monocytes across age groups. Within the circulating postprandial monocyte pool, percentages of classical monocytes decreased while non-classical monocytes increased. However no change in precursory intermediate monocytes were detected. Our study confirms that ageing is associated with changes in monocyte frequencies and subsets and shows that consuming a fat-containing meal induces temporal changes in monocyte frequency and subsets independently of subject age. Clinical trial Registered on ClincialTrials.gov (Identifier: NCT02367287) Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately in the postprandial state during waking hours. As hormonal, metabolic, and immunological changes in response to the consumption of a meal are manifested in postprandial blood, it's unclear how age-dependent changes in peripheral monocytes at fasting are impacted by a dietary challenge.BACKGROUNDMonocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our current understanding of the age-related changes in monocytes is derived from fasting blood samples, most people are predominately in the postprandial state during waking hours. As hormonal, metabolic, and immunological changes in response to the consumption of a meal are manifested in postprandial blood, it's unclear how age-dependent changes in peripheral monocytes at fasting are impacted by a dietary challenge.We investigated the impact of age and meal consumption on circulating monocyte frequencies and subsets defined as classical (CD14 + CD16-), intermediate (CD14 + CD16 +), or non-classical (CD14dim CD16 +) in a cohort of 349 healthy adult volunteers grouped into categories based on their age: young adults (18-33 y, n = 123), middle adults (34-49 y, n = 115), and older adults (50-66 y, n = 111).OBJECTIVEWe investigated the impact of age and meal consumption on circulating monocyte frequencies and subsets defined as classical (CD14 + CD16-), intermediate (CD14 + CD16 +), or non-classical (CD14dim CD16 +) in a cohort of 349 healthy adult volunteers grouped into categories based on their age: young adults (18-33 y, n = 123), middle adults (34-49 y, n = 115), and older adults (50-66 y, n = 111).Following 12-h fast total monocyte counts inversely correlated with subject age. Older adults had significantly fewer circulating monocytes along with elevated levels of TGs, cholesterol, glucose, IL-6, IL-8, TNF, neopterin, and CCL2 compared with young adults. Circulating monocyte pools in older adults consisted of smaller proportions of classical but larger proportions of intermediate and non-classical monocytes. Proportions of classical monocytes were inversely correlated with plasma TNF, IL-8, and neopterin while intermediate monocytes were positively correlated with plasma IL-6, TNF, and neopterin. Three hours after consuming a fat-containing meal postprandial monocyte counts increased in all age groups. Despite age-dependent differences in monocyte subsets at fasting, consumption of a meal induced similar changes in the proportions of classical and non-classical monocytes across age groups. Within the circulating postprandial monocyte pool, percentages of classical monocytes decreased while non-classical monocytes increased. However no change in precursory intermediate monocytes were detected. Our study confirms that ageing is associated with changes in monocyte frequencies and subsets and shows that consuming a fat-containing meal induces temporal changes in monocyte frequency and subsets independently of subject age.RESULTSFollowing 12-h fast total monocyte counts inversely correlated with subject age. Older adults had significantly fewer circulating monocytes along with elevated levels of TGs, cholesterol, glucose, IL-6, IL-8, TNF, neopterin, and CCL2 compared with young adults. Circulating monocyte pools in older adults consisted of smaller proportions of classical but larger proportions of intermediate and non-classical monocytes. Proportions of classical monocytes were inversely correlated with plasma TNF, IL-8, and neopterin while intermediate monocytes were positively correlated with plasma IL-6, TNF, and neopterin. Three hours after consuming a fat-containing meal postprandial monocyte counts increased in all age groups. Despite age-dependent differences in monocyte subsets at fasting, consumption of a meal induced similar changes in the proportions of classical and non-classical monocytes across age groups. Within the circulating postprandial monocyte pool, percentages of classical monocytes decreased while non-classical monocytes increased. However no change in precursory intermediate monocytes were detected. Our study confirms that ageing is associated with changes in monocyte frequencies and subsets and shows that consuming a fat-containing meal induces temporal changes in monocyte frequency and subsets independently of subject age.Registered on ClincialTrials.gov (Identifier: NCT02367287).CLINICAL TRIALRegistered on ClincialTrials.gov (Identifier: NCT02367287). |
| ArticleNumber | 41 |
| Audience | Academic |
| Author | Stephensen, Charles B. Snodgrass, Ryan G. Jiang, Xiaowen |
| Author_xml | – sequence: 1 givenname: Ryan G. surname: Snodgrass fullname: Snodgrass, Ryan G. – sequence: 2 givenname: Xiaowen surname: Jiang fullname: Jiang, Xiaowen – sequence: 3 givenname: Charles B. surname: Stephensen fullname: Stephensen, Charles B. |
| BookMark | eNp9kktv1DAUhSNURB_wB1hZYsMmxa_E8QapqoBWKmIDa-vGvkk9SuwhTkCz5o_jzLSCqRDywtb1OZ997XNenIQYsCheM3rJWFO_S4xrpUvKeUlpXpb1s-KMKclLqYU4-Wt9WpyntKFUSF3LF8WpqBmVSsiz4tfnGKLdzUjS0iacE3E-bQfYEeixdLjF4DDMBIYZJ5h9DInATDpIsw89geDIkhVTH0m-XXlssvcQekyki8MQf656m_3LuF05JHYEyIgwvCyedzAkfPUwXxTfPn74en1T3n35dHt9dVfaStI5N1I5zkQFUuqOU8aZq6VoJWDTdFpZJlUrgDdWYGup62zFFOSSUhaRtlpcFLcHrouwMdvJjzDtTARv9oU49Qam2dsBTZWZTV1VkguUoJmmDBonRdMiF7qpMuv9gbVd2hGdze1OMBxBj3eCvzd9_GG0VFwymgFvHwBT_L5gms3ok8VhgIBxSYYrJutKNFJm6Zsn0k1cppCfalVVQvJG1H9UPeQGfOhiPteuUHOlmKqVVExk1eU_VHk4HH3-Hex8rh8ZmoPBTjGlCTtj_bwPQjb6wTBq1jCaQxhNDqPZh9GsN-JPrI_P8x_Tb7zv4pA |
| CitedBy_id | crossref_primary_10_14336_AD_2023_0923 crossref_primary_10_1093_cei_uxae048 crossref_primary_10_3390_biomedicines11092336 crossref_primary_10_1016_j_celrep_2024_114073 crossref_primary_10_1126_scitranslmed_adk9145 crossref_primary_10_15789_1563_0625_MCO_2757 crossref_primary_10_1016_j_smim_2023_101842 crossref_primary_10_3389_fimmu_2025_1506165 crossref_primary_10_1152_ajpendo_00158_2024 crossref_primary_10_1016_j_archger_2024_105376 |
| Cites_doi | 10.1146/annurev-immunol-042617-053119 10.1084/jem.20170355 10.1038/s41419-018-0327-1 10.1016/j.atherosclerosis.2017.05.026 10.1016/j.imlet.2020.12.003 10.1186/s40795-017-0197-4 10.1093/ajcn/75.3.505 10.1186/1471-2172-11-30 10.1210/jc.2016-2732 10.3389/fnut.2022.877696 10.1111/j.1474-9726.2012.00851.x 10.1111/obr.12454 10.1016/j.immuni.2018.10.005 10.1007/s10875-010-9448-8 10.1371/journal.pone.0104522 10.1016/j.exger.2018.04.008 10.1002/cyto.a.20942 10.1038/s41590-021-00927-z 10.1111/imcb.1025 10.1038/s41574-018-0059-4 10.1016/j.physbeh.2021.113538 10.1016/S0531-5565(99)00065-0 10.1016/j.exger.2018.06.029 10.1016/j.it.2020.12.001 10.1016/j.imlet.2020.07.007 10.1016/j.cell.2019.07.050 10.1093/cdn/nzab005 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2022 BioMed Central Ltd. 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2022. The Author(s). The Author(s) 2022 |
| Copyright_xml | – notice: COPYRIGHT 2022 BioMed Central Ltd. – notice: 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2022. The Author(s). – notice: The Author(s) 2022 |
| DBID | AAYXX CITATION 3V. 7T5 7X7 7XB 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH H94 K9. M0S PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI PRINS 7X8 5PM DOA |
| DOI | 10.1186/s12979-022-00297-6 |
| DatabaseName | CrossRef ProQuest Central (Corporate) Immunology Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Korea Health Research Premium Collection Health Research Premium Collection (Alumni) AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Central China ProQuest Hospital Collection (Alumni) ProQuest Central ProQuest Health & Medical Complete Health Research Premium Collection ProQuest One Academic UKI Edition Health and Medicine Complete (Alumni Edition) ProQuest Central Korea AIDS and Cancer Research Abstracts Immunology Abstracts ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Medicine Social Welfare & Social Work Biology |
| EISSN | 1742-4933 |
| EndPage | 13 |
| ExternalDocumentID | oai_doaj_org_article_5e888655423e4a91901a8d438be23985 PMC9472410 A717674713 10_1186_s12979_022_00297_6 |
| GeographicLocations | United States--US |
| GeographicLocations_xml | – name: United States--US |
| GrantInformation_xml | – fundername: ; grantid: 2032-51530-026-00D; 2032-51530-026-00D; 2032-51530-026-00D |
| GroupedDBID | --- 0R~ 29I 2WC 53G 5GY 5VS 7X7 8FI 8FJ AAFWJ AAJSJ AASML AAYXX ABDBF ABUWG ACGFO ACGFS ACIHN ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AFKRA AFPKN AHBYD AHMBA AHYZX ALIPV ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C6C CCPQU CITATION CS3 DIK E3Z EBD EBLON EBS ESX F5P FYUFA GROUPED_DOAJ GX1 HMCUK HYE IAO IHR ITC KQ8 M48 M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PQQKQ PROAC RBZ RNS ROL RPM RSV SBL SOJ TR2 TUS UKHRP WOQ WOW XSB ~8M PMFND 3V. 7T5 7XB 8FK AZQEC DWQXO H94 K9. PKEHL PQEST PQUKI PRINS 7X8 5PM PUEGO |
| ID | FETCH-LOGICAL-c540t-495d2135a449f20121d643b4ae88f97c147b3a28c3ebc0dfc517a7b377cee0b93 |
| IEDL.DBID | M48 |
| ISSN | 1742-4933 |
| IngestDate | Wed Aug 27 01:30:16 EDT 2025 Thu Aug 21 14:13:40 EDT 2025 Thu Jul 10 17:05:56 EDT 2025 Mon Jun 30 05:19:46 EDT 2025 Tue Jun 17 21:38:31 EDT 2025 Tue Jun 10 20:24:50 EDT 2025 Thu Apr 24 22:51:23 EDT 2025 Tue Jul 01 02:21:25 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c540t-495d2135a449f20121d643b4ae88f97c147b3a28c3ebc0dfc517a7b377cee0b93 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.1186/s12979-022-00297-6 |
| PMID | 36104734 |
| PQID | 2715342836 |
| PQPubID | 54869 |
| PageCount | 13 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_5e888655423e4a91901a8d438be23985 pubmedcentral_primary_oai_pubmedcentral_nih_gov_9472410 proquest_miscellaneous_2714653844 proquest_journals_2715342836 gale_infotracmisc_A717674713 gale_infotracacademiconefile_A717674713 crossref_citationtrail_10_1186_s12979_022_00297_6 crossref_primary_10_1186_s12979_022_00297_6 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2022-09-14 |
| PublicationDateYYYYMMDD | 2022-09-14 |
| PublicationDate_xml | – month: 09 year: 2022 text: 2022-09-14 day: 14 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London |
| PublicationTitle | Immunity & ageing |
| PublicationYear | 2022 |
| Publisher | BioMed Central Ltd BioMed Central BMC |
| Publisher_xml | – name: BioMed Central Ltd – name: BioMed Central – name: BMC |
| References | YY Bouzid (297_CR17) 2021; 5 IM Khan (297_CR22) 2016; 101 I Heimbeck (297_CR5) 2010; 77 HM Sadeghi (297_CR12) 1999; 34 C Franceschi (297_CR9) 2018; 14 R Ault (297_CR14) 2018; 1 NJ Thom (297_CR29) 2016; 17 S Trzebanski (297_CR28) 2020; 227 M Guilliams (297_CR1) 2018; 49 297_CR20 RPH De Maeyer (297_CR23) 2021; 1 MC Gjelstrup (297_CR26) 2018; 96 C Sugimoto (297_CR25) 2015; 195 A Robinson (297_CR3) 2021; 42 AA Patel (297_CR2) 2017; 214 S Jordan (297_CR16) 2019; 178 SM Ong (297_CR11) 2018; 9 MD Robertson (297_CR21) 2002; 75 Z He (297_CR24) 2018; 200 VK Patel (297_CR27) 2017; 263 LM Baldiviez (297_CR19) 2017; 3 J Nyugen (297_CR13) 2010; 30 M Mittelbrunn (297_CR8) 2021; 22 BD Pence (297_CR15) 2018; 15 CP Verschoor (297_CR6) 2014; 9 S Seidler (297_CR7) 2010; 21 AC Hearps (297_CR10) 2012; 11 SM Dimitratos (297_CR18) 2021; 15 PB Narasimhan (297_CR4) 2019; 26 |
| References_xml | – volume: 26 start-page: 439 issue: 37 year: 2019 ident: 297_CR4 publication-title: Annu Rev Immunol doi: 10.1146/annurev-immunol-042617-053119 – volume: 214 start-page: 1913 issue: 7 year: 2017 ident: 297_CR2 publication-title: J Exp Med doi: 10.1084/jem.20170355 – volume: 9 start-page: 266 issue: 3 year: 2018 ident: 297_CR11 publication-title: Cell Death Dis doi: 10.1038/s41419-018-0327-1 – volume: 263 start-page: 15 year: 2017 ident: 297_CR27 publication-title: Atherosclerosis doi: 10.1016/j.atherosclerosis.2017.05.026 – volume: 1 start-page: 1 issue: 230 year: 2021 ident: 297_CR23 publication-title: Immunol Lett doi: 10.1016/j.imlet.2020.12.003 – volume: 3 start-page: 79 year: 2017 ident: 297_CR19 publication-title: BMC Nutr doi: 10.1186/s40795-017-0197-4 – volume: 75 start-page: 505 issue: 3 year: 2002 ident: 297_CR21 publication-title: Am J Clin Nutr doi: 10.1093/ajcn/75.3.505 – volume: 21 start-page: 30 issue: 11 year: 2010 ident: 297_CR7 publication-title: BMC Immunol doi: 10.1186/1471-2172-11-30 – volume: 101 start-page: 4195 issue: 11 year: 2016 ident: 297_CR22 publication-title: J Clin Endocrinol Metab doi: 10.1210/jc.2016-2732 – ident: 297_CR20 doi: 10.3389/fnut.2022.877696 – volume: 11 start-page: 867 issue: 5 year: 2012 ident: 297_CR10 publication-title: Aging Cell doi: 10.1111/j.1474-9726.2012.00851.x – volume: 17 start-page: 1080 issue: 11 year: 2016 ident: 297_CR29 publication-title: Obes Rev Off J Int Assoc Study Obes doi: 10.1111/obr.12454 – volume: 49 start-page: 595 issue: 4 year: 2018 ident: 297_CR1 publication-title: Immunity doi: 10.1016/j.immuni.2018.10.005 – volume: 30 start-page: 806 issue: 6 year: 2010 ident: 297_CR13 publication-title: J Clin Immunol doi: 10.1007/s10875-010-9448-8 – volume: 9 start-page: e104522 issue: 8 year: 2014 ident: 297_CR6 publication-title: PLoS ONE doi: 10.1371/journal.pone.0104522 – volume: 15 start-page: 112 issue: 108 year: 2018 ident: 297_CR15 publication-title: Exp Gerontol doi: 10.1016/j.exger.2018.04.008 – volume: 195 start-page: 1774 issue: 4 year: 2015 ident: 297_CR25 publication-title: J Immunol Baltim Md 1950 – volume: 77 start-page: 823 issue: 9 year: 2010 ident: 297_CR5 publication-title: Cytom Part J Int Soc Anal Cytol doi: 10.1002/cyto.a.20942 – volume: 22 start-page: 687 issue: 6 year: 2021 ident: 297_CR8 publication-title: Nat Immunol doi: 10.1038/s41590-021-00927-z – volume: 200 start-page: 4059 issue: 12 year: 2018 ident: 297_CR24 publication-title: J Immunol Baltim Md 1950 – volume: 96 start-page: 160 issue: 2 year: 2018 ident: 297_CR26 publication-title: Immunol Cell Biol doi: 10.1111/imcb.1025 – volume: 14 start-page: 576 issue: 10 year: 2018 ident: 297_CR9 publication-title: Nat Rev Endocrinol doi: 10.1038/s41574-018-0059-4 – volume: 15 start-page: 113538 issue: 240 year: 2021 ident: 297_CR18 publication-title: Physiol Behav doi: 10.1016/j.physbeh.2021.113538 – volume: 34 start-page: 959 issue: 8 year: 1999 ident: 297_CR12 publication-title: Exp Gerontol doi: 10.1016/S0531-5565(99)00065-0 – volume: 1 start-page: 35 issue: 111 year: 2018 ident: 297_CR14 publication-title: Exp Gerontol doi: 10.1016/j.exger.2018.06.029 – volume: 42 start-page: 104 issue: 2 year: 2021 ident: 297_CR3 publication-title: Trends Immunol doi: 10.1016/j.it.2020.12.001 – volume: 227 start-page: 66 year: 2020 ident: 297_CR28 publication-title: Immunol Lett doi: 10.1016/j.imlet.2020.07.007 – volume: 178 start-page: 1102 issue: 5 year: 2019 ident: 297_CR16 publication-title: Cell doi: 10.1016/j.cell.2019.07.050 – volume: 5 start-page: nzab005 issue: 3 year: 2021 ident: 297_CR17 publication-title: Curr Dev Nutr doi: 10.1093/cdn/nzab005 |
| SSID | ssj0034964 |
| Score | 2.3300455 |
| Snippet | Background Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although... Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age. Although much of our... Abstract Background Monocytes are a heterogenous population of immune cells whose subsets and functions become substantially dysregulated with advanced age.... |
| SourceID | doaj pubmedcentral proquest gale crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database |
| StartPage | 1 |
| SubjectTerms | Age Ageing Aging Biomarkers Carbohydrates CD14 antigen CD16 antigen Cholesterol Classical Fasting High density lipoprotein Interleukin 6 Interleukin 8 Intermediate Laboratories Metabolism Monocyte Monocyte chemoattractant protein 1 Monocytes Neopterin Nutrition research Plasma Population Postprandial Tumor necrosis factor Young adults |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3da9UwFA9jMPFF9KpYvY4IQx-krG3SpH3chmMI29OGewtpPnR4147bDrnP_uOek7SXVUFffCklOYG057vN-R1CDnQuHORo2L2swIswoHNMp9Iw65j3ZeWx3vn8Qpxd8c_X5fWDVl94JizCA8cXd1g6yNEEOL2COa5r9F-6spxVjUPouoBeCj5vSqaiDUYUdD6VyFTisAevJusUT66Hbk2pmLmhgNb_p03-_ZzkA8dz-pQ8GSNGehR3-ozsuHZB9mIPyc2CPDof_44vyDLW2tIvbuX12tH3dBro1t-fk5-gv53ZDI72YC3c0FN709-t9IaCTUmnbrgDDT_Q44c8qgfqdY9Ho6luLcWKs_XXjrZdm84XxQLinnqQq-4H0ptQ3BksEu081fQWYtIX5Or00-XJWTr2YEgNxHIDcK-0Rc5KzXntCwSAsxDDNFwDW3wtTc5lw3RRGeYak1lvylxqGJISvG_W1Owl2YU9uVeEGgGxjs6MK73mJdxyiK68hTTWZsb6OiH5xBJlRoBy7JOxUiFRqYSKbFTARhXYqERCPm7X3EV4jr9SHyOnt5QIrR0GQODUKHDqXwKXkA8oJwoNAGzP6LGOAR4SobTUESTIAlN9lpDljBIU18ynJ0lTo-HoVSHBBSEIHmz23XYaV-JhuNZ194EGUfEqzhMiZxI6e7L5THvzLYCH11xC0Ja9_h-v4g15XASdqtOcL8nusL53byFGG5r9oI6_AEIQOAk priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3di9QwEB_0RPFFdFWsrhJB9EHKbds0aZ_kFI9DOJ883LeQ5uM8bm3Xtofss_-4M2m7WoV7KSUftGE-MpPM_AbglU6EQx-Nqpel9BAGZS7TsTSZdZn3eeEp3_n0szg545_W-Xo8cOvGsMpJJwZFbRtDZ-SHqUTZJHQw8W77I6aqUXS7OpbQuAm3CLqMuFqu9w4XYaHzKVGmEIcd7m2yjCl-PdRsisVsMwqY_f9r5n-jJf_afo7vw73RbmRHA6EfwA1XL-D2UElyt4A7p-Md-QKWQ8Yt--o2XreOvWZTQ9NePoRfKMWN2fWOdagzXN8xe9FtN3rHULPEU03cnoVr9OE4j-meed1RgDTTtWWUd9aeN6xu6ng-aUgj7phH7mp-0ngTUjyDXmKNZ5p9R8v0EZwdf_zy4SQeKzHEBi26HmmY2zTJcs156VOCgbNoyVRcu6LwpTQJl1Wm08JkrjIr602eSI1NUuIevKrK7DEc4D-5J8CMQItHr4zLveY5vnK0sbxFZ9aujPVlBMlEEmVGmHKqlrFRwV0phBrIqJCMKpBRiQje7udsB5COa0e_J0rvRxLAdmho2nM1yqvKcWWUs4vWpuO6JLNJF5ZnReUIMTGP4A3xiSI1gL9n9JjNgIskQC11hG6yIIc_i2A5G4nia-bdE6epUX106g-zR_By300zKSSuds1VGEPYeAXnEcgZh85WNu-pL74FCPGSSzTdVk-v__gzuJsGaSnjhC_hoG-v3HO0wfrqRRC036yeMSk priority: 102 providerName: ProQuest |
| Title | Monocyte subsets display age-dependent alterations at fasting and undergo non-age-dependent changes following consumption of a meal |
| URI | https://www.proquest.com/docview/2715342836 https://www.proquest.com/docview/2714653844 https://pubmed.ncbi.nlm.nih.gov/PMC9472410 https://doaj.org/article/5e888655423e4a91901a8d438be23985 |
| Volume | 19 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwED_tQ0x7QVBAdCuVkRA8oECTOHHygNCGNk1InRCiom-W49jbRElGkgn6zD_OnZNUBCYeeKkq-yzZuTvfne37HcAz5ccGYzSqXhbQT6xR50LlCR3mJrQ2SizlO8_P47MFf7-MllvQlzvqPmB9a2hH9aQW1erVj2_rt6jwb5zCJ_HrGm2WSD16l-5qMXnxNuyiZRJU0WDON7cKhI3O-8SZW8ftw14YE3hByAd2ysH5_71p__mQ8jfLdHoP7nYuJTtqZeA-bJliBHfaIpPrEezNu-vzEUzaZFz22aysqgx7zvqGsvryAH6igpd63RhW43ZimprlV_X1Sq0ZbjpeXy63Ye6GvT3pY6phVtX0dpqpImeUklZdlKwoC284qM0wrplFwSu_E7122Z9uy2KlZYp9Raf1ISxOTz69O_O6Ig2eRmevQfZGeeCHkeI8tQEhxOXo5GRcmSSxqdA-F1mogkSHJtOz3OrIFwqbhEDzPMvS8BHs4JzMY2A6RmdIzbSJrOIR_uXoftkc49x8pnObjsHvWSJ1h2BOhTRW0kUySSxbjkrkqHQclfEYXm7GXLf4Hf-kPiZObygJe9s1lNWF7FRZRrgySudFR9RwlZJHpZKch0lmCEwxGsMLkhNJMovT06pLdMBFEtaWPMIIOqazgHAMkwElarYedveSJnvFkIFAG0UoeTjZp5tuGkmv5QpT3jgags1LOB-DGEjoYGXDnuLq0qGLp1yg7swO_nvkIewHTqdSz-cT2GmqG_MEPbcmm8K2WIop7B6fnH_4OHXnH1Onor8AnP9FHA |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Jb9QwFLaqIpYLggHUlAGMxHJAUbM4cXJAqCzVlHZ6asXcjOOlVAzJdJKqmjP_h9_Ie04yEJB662UUedHYervt9z1CXsgwNRCjYfWyCH9SBTIXS5-rWJvY2iSzmO88PUonJ-zzLJltkF99Lgw-q-x1olPUulJ4Rr4TcZBNRAdL3y3OfawahberfQmNli0OzOoSQrb67f5HoO_LKNr7dPxh4ndVBXwF3kkD60l0FMaJZCy3EUKaabDKBZMmy2zOVch4EcsoU7EpVKCtSkIuoYlzsCdBgeBLoPJvgOENMNjjs3WAh9jrrE_MydKdGmwpz318L-9qRPnpwPi5GgH_W4J_X2f-Ze727pG7nZ9Kd1vGuk82TDkiN9vKlasRuTXt7uRHZNxm-NIvZm7l0tBXtG-olt8fkJ-gNSq1agytQUeZpqb6rF7M5YqCJvP7GrwNddf27fEhlQ21ssYH2VSWmmKe2_K0omVV-sNJbdpyTS1wc3WJ45VLKXV6kFaWSvoDPOGH5ORaaPSIbMKazBahKgUPSwbKJFayBD4Z-HRWQ_CsA6Vt7pGwJ4lQHSw6VueYCxceZaloySiAjMKRUaQeebOes2hBQa4c_R4pvR6JgN6uoVqeik4_iAR2hjnC4N0aJnN002SmWZwVBhEaE4-8Rj4RqHZgeUp22ROwSQTwErsQlqd4wBB7ZDwYCepCDbt7ThOduqrFH-HyyPN1N87EJ3ilqS7cGMTiyxjzCB9w6GBnw57y7JuDLM8ZB1cx2L76z5-R25Pj6aE43D86eEzuRE5ycj9kY7LZLC_ME_D_muKpEzpKvl63lP8GNr5ttA |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Monocyte+subsets+display+age-dependent+alterations+at+fasting+and+undergo+non-age-dependent+changes+following+consumption+of+a+meal&rft.jtitle=Immunity+%26+ageing&rft.au=Snodgrass%2C+Ryan+G.&rft.au=Jiang%2C+Xiaowen&rft.au=Stephensen%2C+Charles+B.&rft.date=2022-09-14&rft.pub=BioMed+Central&rft.eissn=1742-4933&rft.volume=19&rft_id=info:doi/10.1186%2Fs12979-022-00297-6&rft_id=info%3Apmid%2F36104734&rft.externalDocID=PMC9472410 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1742-4933&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1742-4933&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1742-4933&client=summon |