Impact of Metabolic Syndrome on Flu Vaccine Efficacy

NCT ID: NCT02653495

Last Updated: 2017-09-28

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

View full results

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

TERMINATED

Clinical Phase

NA

Total Enrollment

17 participants

Study Classification

INTERVENTIONAL

Study Start Date

2016-01-31

Study Completion Date

2017-03-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Metabolic syndrome (MetS) is a cluster of metabolic conditions associated with obesity that predispose individuals to coronary heart diseases and diabetes but obesity has been shown to increase the risks of other diseases like cancer and asthma. Studies have also shown that obesity increases the risk of severe influenza infection and associated death and reduces the efficacy of influenza vaccine in the obese population but yet, the molecular mechanisms have not been described. The investigators are thus hypothesizing that differences in the innate immune responses between individual with or without metabolic syndrome impact viral infection and vaccine outcome. The investigators will perform seasonal influenza vaccination in people with or without metabolic syndrome to determine if the late adaptive response assessed by antibodies titers is different between the two groups and correlates with the early immune response assessed by gene expression profile in whole blood cells. The project proposed by the investigators will contribute to a better understanding of the inflammatory phenotype associated with metabolic syndrome and establish for the first time if it affects the immune protection against infectious diseases and particularly against influenza virus infection. The results will be important to determine if the population affected by metabolic syndrome should receive anti-influenza treatment in priority in the context of a severe influenza epidemic.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

The development of industrialization with increased food consumption and sedentarity has given rise to an obesity pandemic, which affects up to 30% of the population in countries like US, these populations being at greater risk for cardiovascular diseases, and diabetes. More than obesity per se, visceral obesity is associated with metabolic diseases that cluster together and clinically defined metabolic syndrome. MetS comprises individuals with at least three of the 5 of the following factors: abdominal obesity, high blood triglycerides, low HDL ("good cholesterol"), high blood pressure and elevated fasting glucose. Metabolic syndrome is associated with a low-grade inflammation characterized by an infiltration of immune cells particularly in the adipose tissue, the liver and the pancreas that is thought to be responsible for the induction of insulin resistance. It is thought that obesity predisposes to other diseases such as cancer, asthma but only little attention has been given to infectious diseases. Studies have shown that obesity increases the risk of severe influenza infection and associated death and reduces the efficacy of influenza vaccine in the obese population but yet, the molecular mechanisms have not been described. Immune dysfunctions associated with obesity are suspected to play a major role but obesity is often associated with respiratory disorders that could directly explain the increased susceptibility to influenza infection. Also, metabolically healthy obesity is less associated with inflammation. Therefore, the investigators would like to focus particularly on metabolic syndrome, and determine how it influences immune response to viruses.

The investigators are thus hypothesizing that differences in the innate immune responses between individual with or without metabolic syndrome impact viral infection and vaccine outcome. Recent studies involving complex biological analysis and computational modeling have shown that the ability of an individual to positively respond to influenza vaccine can be molecularly predicted by looking at markers in the blood cells. The investigators will perform seasonal influenza vaccination in people with or without metabolic syndrome to determine if the late adaptive response assessed by antibodies titers is different between the two groups and correlates with the early immune response assessed by gene expression profile in whole blood cells.

Healthy nutritional habits along with increased physical activities should be best at preventing the development of metabolic syndrome but socio-economical issues are slowing the implementation of these changes. Therefore, as metabolic syndrome is raising public health concerns, it is important to understand why the metabolic syndrome affects susceptibility to diseases.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Immune Deficiency Metabolic Syndrome

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Influenza vaccine in metabolic syndrome

Influenza vaccine

Group Type EXPERIMENTAL

Influenza vaccine

Intervention Type BIOLOGICAL

Influenza vaccine administered intramuscularly (IM), 1 time only, on visit 3

Influenza vaccine in healthy controls

Influenza vaccine

Group Type EXPERIMENTAL

Influenza vaccine

Intervention Type BIOLOGICAL

Influenza vaccine administered intramuscularly (IM), 1 time only, on visit 3

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

Influenza vaccine

Influenza vaccine administered intramuscularly (IM), 1 time only, on visit 3

Intervention Type BIOLOGICAL

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Abdominal Obesity, given as a waist circumference: Men \>102 cm (\>40 in) Women \> 88 cm (\>35 in)
* Triglycerides \>150 mg/dl
* HDL Cholesterol: Men \< 40 mg/dl Women \< 50 mg/dl
* Blood Pressure \>130/ \>85 mm Hg - or controlled on antihypertensive medication
* Fasting Glucose \> 100 mg/dl


* body mass index 18.5 - 25 kg/m2
* HDL female \> 50 mg/dL, male \> 40 mg/dL
* fasting glucose \< 100 mg/dL
* triglycerides \<150 mg/dL,
* waist circumference of a female \< 88 cm, male \< 102 cm)
* \- Blood pressure \< or = to 120/80 (based on an average of 3 readings taken 5 minutes apart after the consent form has been signed)

Exclusion Criteria

* Currently undergoing treatment for the metabolic syndrome
* The average of 2 BP readings \> 150/90 (based on 2 B/Ps taken at screening visit 1).
* Hepatitis A, B and C
* NSAIDs and/or Aspirin ingestion within the last 14 days
* Self-reported history of any active autoimmune diseases
* Self-reported ingestion of statins within the last 3 months
* Self-reported antibiotic use within the last 3 months
* Anti-inflammatory drugs including biologics and corticosteroids within last 3 months( nasal spray and topical applications are OK)or Omega 3 Fatty Acids.
* Self-reported hx of cancer treatment within the last year
* Allergy to eggs
* History of Guillain-Barre syndrome
* Pregnant ( determined by point of care testing at screening visit 1).
* HIV positive
* Self-reported history of flu vaccination within the past 3 months.
* Any self-reported infection in the week of the visit except the first two visits (Screening visit 1 and Screening visit 2) and the last visit (Study visit #5) that could be rescheduled.
* Any medical, psychological or social condition that, in the opinion of the Investigator, would jeopardize the health or well-being of the participant during any study procedures or the integrity of the data.

Study Population Description The population from which the groups will be selected are resident of New York City.
Minimum Eligible Age

18 Years

Maximum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Rockefeller University

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Ursula Andreo, PhD

Role: PRINCIPAL_INVESTIGATOR

The Rockefeller University Center for Clinical and Translational

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Rockefeller University

New York, New York, United States

Site Status

Countries

Review the countries where the study has at least one active or historical site.

United States

Provided Documents

Download supplemental materials such as informed consent forms, study protocols, or participant manuals.

Document Type: Study Protocol and Statistical Analysis Plan

View Document

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

UAN-0891

Identifier Type: -

Identifier Source: org_study_id