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Rapid changes in serum cytokines and chemokines in response to inactivated influenza vaccination.

ABSTRACT: BACKGROUND:The timing of host cytokine responses to influenza vaccination is poorly understood. OBJECTIVES:We examined serum cytokine kinetics following inactivated trivalent influenza vaccine (TIV) to better understand potential relationships between markers of inflammation and TIV-related side effects. PATIENTS/METHODS:Twenty healthy adult subjects received TIV. Cytokines/chemokines were assessed in intervals from 3 hours to 14 days. Antibody titers were measured at baseline and Day 14. RESULTS:Serum cytokine responses to TIV were evident as early as 3 hours post-immunization. Compared to baseline, IFN-? and IP-10 were significantly elevated 7 hours after TIV administration. Both remained elevated and peaked between 16 and 24 hours before returning to baseline by 44 hours post-vaccination. Although IL-8 levels were variable between subjects during the first 24 hours after TIV, by 44 hours, IL-8 was significantly lower compared to baseline. Interestingly, IL-8 levels remained significantly lower for up to 2 weeks after receiving TIV. Fifteen of 20 subjects reported mild adverse events. The one subject who reported moderate myalgias and injection site pain after vaccination displayed a distinctive, early cytokine response profile which included IL-6, IL-2, IL-8, IP-10, MCP-1, TNF-?, TARC, and MCP-4. CONCLUSIONS:Serum cytokines changed rapidly following TIV and generally peaked at 24 hours. Trivalent influenza vaccine-induced reductions in IL-8 occurred later (44 hours) and were sustained for 2 weeks. An outlier response coincided with the only moderate side effects to the vaccine. These data suggest that early cytokine/chemokine responses may provide additional insight into the pathogenesis of adverse events and immune reactivity to vaccination.

SUBMITTER: Talaat KR

PROVIDER: S-EPMC5820426 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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Rapid changes in serum cytokines and chemokines in response to inactivated influenza vaccination.

Talaat Kawsar R KR Halsey Neal A NA Cox Amber B AB Coles Christian L CL Durbin Anna P AP Ramakrishnan Amritha A Bream Jay H JH

Influenza and other respiratory viruses 20180104 2

<h4>Background</h4>The timing of host cytokine responses to influenza vaccination is poorly understood.<h4>Objectives</h4>We examined serum cytokine kinetics following inactivated trivalent influenza vaccine (TIV) to better understand potential relationships between markers of inflammation and TIV-related side effects.<h4>Patients/methods</h4>Twenty healthy adult subjects received TIV. Cytokines/chemokines were assessed in intervals from 3 hours to 14 days. Antibody titers were measured at basel ...[more]

PMID: 28991404

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Project description:BackgroundPeriodontal disease (PD) is characterized by inflammatory tissue destruction in tooth supporting apparatus. Many studies indicate that the underlying pathogenesis is in concordance with rheumatoid arthritis (RA) sharing immune-inflammatory events affect both diseases. The aim of this study was to investigate serum cytokines, chemokines, growth factors, enzymes and costimulatory proteins in association with periodontal conditions in PD and RA subjects.Materials & methodsPeriodontal examination was performed in RA (n = 38), PD (n = 38) and healthy subjects (n = 14). Bleeding on probing (BOP) and probing pocket depth (PPD) were measured. Marginal bone loss (MBL) for premolars and molars was measured on digital panoramic radiographs. PD was defined as present if the PPD was ≥5mm in ≥ 3 different sites. Serum samples were collected from all subjects. A multiplex proximity extension assay (PEA) was used to analyze the samples for simultaneous measurement of 92 cytokines. Cytokines with ≥ 60% quantitative results were included.ResultsA significant positive correlation was seen for ST1A1, FGF-19 and NT-3 whereas EN-RAGE, DNER, CX3CL1 and TWEAK associated inversely with BOP, PPD≥ 5mm and MBL but positively with number of teeth. Several CD markers (CD244, CD40, CDCP1, LIF-R, IL-10RA, CD5 and CD6) were found to be associated with BOP, shallow and deep pockets, MBL and number of teeth, either directly or inversely. Most chemokines (CCL8, CX3CL1, CXCL10, CXCL11, CCL11, CCL4, CCL20, CXCL5, CXCL6, and CCL23) were positively associated with number of teeth and some inversely related to MBL (CCL8, CXCL10). Proteins with enzymatic activity (ST1A1, HGF and CASP-8) were directly related to the severity of periodontal conditions and inversely related to number of teeth. Aside from FGF-19, other growth factors were also directly associated with MBL (HGF), number of teeth (VEGF-A, LAP TGF-beta-1) and, inversely to, shallow pockets (LAP TGF-beta-1, TGFA and Beta-NGF). Out of 33 cytokines, 32 associated inversely with shallow pockets, whereas only CD40 associated positively. Associations between cytokines and periodontal parameters in the RA group were comparatively less. Statistical analyses were adjusted for multivariate effects using the Benjamini-Hochberg false discovery rate method.ConclusionSystemic inflammatory burden, via known and novel markers, is associated with periodontal conditions in PD and RA subjects. Shallow pockets are not associated with a higher inflammatory state.

Project description:BackgroundSome studies have found a higher frequency of fever with trivalent live attenuated influenza vaccine (LAIV) than with inactivated influenza vaccine (IIV), but quadrivalent LAIV has not been assessed. Understanding fever is important for safety reviews and for parents and providers. In addition, there have been only a limited number of studies in which text messaging was used for vaccine adverse-event (AE) surveillance.MethodsWe conducted a prospective observational study in 3 community clinics in New York City to assess post-influenza vaccination fever in 24- to 59-month-olds during the 2013-2014 season. Enrolled families of children who received quadrivalent LAIV (LAIV4) or IIV (trivalent IIV3 or quadrivalent IIV4) replied to text messages that assessed their temperature on vaccination night and the next 10 nights (days 0 to 10); missing data were collected via telephone and a diary. We compared frequencies of fever (temperature ≥ 100.4°F) according to vaccine group on days 0 to 2 and 3 to 10 by using χ2 and multivariate log-binomial regression adjusted for age, previous influenza vaccination, and vaccine coadministration. We also assessed outcomes using all sources versus only text messages.ResultsMost (84.1% [n = 540]) eligible parents enrolled. Fever frequencies on days 0 to 2 did not differ between LAIV4 and any IIV (3.8% vs 5.7%, respectively; adjusted relative risk [aRR] [95% confidence interval], 0.60 [0.25-1.46]), between LAIV4 and IIV4 (4.2% vs 7.1%, respectively; aRR, 0.58 [0.19-1.72]), or between IIV4 and IIV3 (7.1% vs 6.0%, respectively; aRR, 1.02 [0.30-3.46]). The findings were similar when all data sources versus text-message data alone were used. There were no significant differences on days 3 to 10.ConclusionsPostvaccination fever frequencies were low overall and did not differ according to influenza vaccine type during the 2013-2014 influenza season. The similarity of results when data were limited to text messages lends support to its use for surveillance of vaccine adverse events.

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Rapid changes in serum cytokines and chemokines in response to inactivated influenza vaccination.

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Rapid changes in serum cytokines and chemokines in response to inactivated influenza vaccination.

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