ClinicalTrials.gg
CompletedNCT03479203Updated May 8, 2024Results posted

Acute Effects of E-Cigarette Aerosol Inhalation

An Early Phase 1 interventional study of Electronic Cigarette Aerosol in Endothelial Dysfunction and Biochemical Markers, sponsored by University of Pennsylvania. Completed at 1 site in United States. Open to participants aged 18 Years to 35 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-05-08.

Sponsored by University of Pennsylvania · Early Phase 1, Interventional, and Basic science

Phase
Early Phase 1
Study type
Interventional
Enrollment
31
Allocation
Not applicable
Ages
18 Years to 35 Years
Sex
All
01

Study summary

This study comprises a portion of a larger study designed to compare results of vascular function in non-smokers to vascular function in healthy smokers chronically exposed to nicotinized electronic cigarette aerosol versus conventional cigarettes.

Read the detailed description

Here, we 1) investigate the acute effects of non-nicotinized e-cigarette aerosol inhalation in nonsmokers in terms of blood-based markers of inflammation and oxidative stress, and 2) evaluate their association with hemodynamic-metabolic MRI parameters quantifying peripheral vascular reactivity, cerebrovascular reactivity, and aortic stiffness.

02

Conditions studied

  • Endothelial Dysfunction
  • Biochemical Markers

Browse trials for

Keywords

  • Inflammation
03

In context

Inflammation

3,536 studies on the registry are indexed under Inflammation; 642 are open to participants now.

This study's enrollment of 31 is below the median of 50 across 2,577 interventional studies indexed under Inflammation.

Browse Inflammation studies →

Lead sponsor

University of Pennsylvania is the lead sponsor of 1,668 studies on the registry; 235 are open to participants now.

Of its 158 completed or terminated interventional studies of FDA-regulated products, 109 (69%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 35 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • of 18.5 - 30

Exclusion criteria

Exclusion Criteria:

  • Cancer
  • Mental illness
  • Overt cardio- or neurovascular disease (prior heart attack, stroke, )
  • Serious arrhythmias
  • Bronchospastic disease
  • Upper respiratory tract infection within the past six weeks
  • Chronic medication or antibiotics
  • Claustrophobia / for MRI
Terms in these criteria, in plain language(4)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

HIV

The human immunodeficiency virus, which weakens the immune system.

Many studies now accept people whose HIV is controlled on treatment, judged by the viral load and the CD4 count. Check the limits this study sets.

TIA (transient ischaemic attack)

A “mini-stroke”: temporary stroke-like symptoms caused by reduced blood flow to part of the brain, spinal cord or eye, without signs of a new stroke on a scan.

Stroke symptoms need emergency care at once, even if they go away.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Phase
Early Phase 1
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
31 participants (actual)

Study arms

  • Experimental
    Healthy, Non-Smokers

    Non-nicotinized electronic cigarette aerosol (16 2-second long puffs)

    Drug: Electronic Cigarette Aerosol

Interventions

  • DrugElectronic Cigarette Aerosol

    16 two-second-long puffs from a non-nicotinized electronic cigarette.

06

What researchers measure

Primary outcomes

  1. Inflammatory Blood-Based Biomarkers

    Post-vaping inflammation monitored by changes in an integrated cluster of blood-based biomarkers from serum/plasma of non-smoking healthy participants quantified at 0 and 120 min post-inhalation. The cluster consisted of: CRP, sICAM-1 in serum and HMGB1, ASC in plasma assayed using ELISA and quantified using absorbance-concentration curves generated by the manufacturers' standards; nitric oxide metabolites (nitrate + nitrite, NOx) in serum assayed with a nitrate/nitrite kit using a colorimetric standard provided by the manufacturer; reactive oxygen species (ROS) was quantified by using immortalized human pulmonary microvascular endothelial cells plated, prepared with serum, labeled with ROS dye and imaged confocal fluorescence microscopy. The outcome measure was expressed as fold increase over pre-vaping values.

    Time frame: Participant blood draws occurred at two time points: 1) pre-vaping, 2) 120 minutes post-vaping. Inflammation index is calculated from the fold change in biomarker values over pre-vaping values

  2. Acute Change in Aortic Pulse Wave Velocity Post-vaping

    Central arterial stiffness was assessed using aortic pulse-wave velocity (PWV), a biomarker of aortic stiffness calculated by measuring the velocity of a pulse wave between two points in the same artery. A higher aortic pulse wave velocity equates to a stiffer aorta. In each participant, aortic PWV was quantified, pre- and post-vaping, by dividing the path length of the aortic arch determined from a oblique sagittal image, by the transit time of the pulse pressure wave. Measurements obtained pre-vaping were compared to those obtained post-vaping.

    Time frame: PWV calculation occurred at two time points: 1) pre-vaping, 2) Fifteen minutes post-vaping.

  3. Change in Femoral Artery Flow-Mediated Dilation Post-Vaping

    Degree of dilation (% change in cross-sectional area) of femoral artery during hyperemia (the transient increase in blood flow velocity) after e-cigarette vaping as compared to before e-cigarette vaping.

    Time frame: Flow mediated dilation calculation occurred at two time points: 1) pre-vaping, 2) 40 minutes post-vaping.

  4. Change in Washout Time Post-Vaping

    Transit time of desaturated capillary blood from tissue to the imaging location after e-cigarette vaping

    Time frame: Washout time calculation occurred at two time points: 1) pre-vaping, and 2) 40 minutes post-vaping

  5. Change in Upslope Post-Vaping

    Tissue oxygen resaturation rate after e-cigarette vaping.

    Time frame: Upslope was calculated at two time points: 1) pre-vaping, and 2) 40 minutes post-vaping

  6. Change in Overshoot Post-Vaping

    Degree of overcompensatory effect post-vaping in the supply of oxygen after ischemia.

    Time frame: Overshoot was calculated at two time points: 1) pre-vaping, and 2) 40 minutes post-vaping.

  7. Change in Breath Hold Index Post-Vaping

    Rate of increase in blood flow velocity in the superior sagittal sinus from intermittent volitional apnea.

    Time frame: Breath hold index was calculated at two time points: 1) pre-vaping, 2) five minutes post-vaping.

07

Results

Posted May 8, 2024

Participant flow

Participant flow — Overall Study
MilestoneHealthy, Non-Smokers
Started31
Completed31
Not completed0

Outcome measures

PrimaryInflammatory Blood-Based Biomarkers

Post-vaping inflammation monitored by changes in an integrated cluster of blood-based biomarkers from serum/plasma of non-smoking healthy participants quantified at 0 and 120 min post-inhalation. The cluster consisted of: CRP, sICAM-1 in serum and HMGB1, ASC in plasma assayed using ELISA and quantified using absorbance-concentration curves generated by the manufacturers' standards; nitric oxide metabolites (nitrate + nitrite, NOx) in serum assayed with a nitrate/nitrite kit using a colorimetric standard provided by the manufacturer; reactive oxygen species (ROS) was quantified by using immortalized human pulmonary microvascular endothelial cells plated, prepared with serum, labeled with ROS dye and imaged confocal fluorescence microscopy. The outcome measure was expressed as fold increase over pre-vaping values.

Time frame:
Participant blood draws occurred at two time points: 1) pre-vaping, 2) 120 minutes post-vaping. Inflammation index is calculated from the fold change in biomarker values over pre-vaping values
Reported as:
Mean · fold change
Inflammatory Blood-Based Biomarkers
fold changeHealthy, Non-Smokers
Inflammatory Blood-Based Biomarkers5 ± 0.5
Statistical analysis
  • Healthy, Non-Smokers · t-test, 2 sided · p = 0.05 · Mean difference (final values): 1.96 · 95% CI 1 to 6
PrimaryAcute Change in Aortic Pulse Wave Velocity Post-vaping

Central arterial stiffness was assessed using aortic pulse-wave velocity (PWV), a biomarker of aortic stiffness calculated by measuring the velocity of a pulse wave between two points in the same artery. A higher aortic pulse wave velocity equates to a stiffer aorta. In each participant, aortic PWV was quantified, pre- and post-vaping, by dividing the path length of the aortic arch determined from a oblique sagittal image, by the transit time of the pulse pressure wave. Measurements obtained pre-vaping were compared to those obtained post-vaping.

Time frame:
PWV calculation occurred at two time points: 1) pre-vaping, 2) Fifteen minutes post-vaping.
Reported as:
Mean · Meters per second
Acute Change in Aortic Pulse Wave Velocity Post-vaping
Meters per secondHealthy, Non-Smokers
Acute Change in Aortic Pulse Wave Velocity Post-vaping0.19 ± 0.20
PrimaryChange in Femoral Artery Flow-Mediated Dilation Post-Vaping

Degree of dilation (% change in cross-sectional area) of femoral artery during hyperemia (the transient increase in blood flow velocity) after e-cigarette vaping as compared to before e-cigarette vaping.

Time frame:
Flow mediated dilation calculation occurred at two time points: 1) pre-vaping, 2) 40 minutes post-vaping.
Reported as:
Mean · percentage of change in cross-sectional
Change in Femoral Artery Flow-Mediated Dilation Post-Vaping
percentage of change in cross-sectionalHealthy, Non-Smokers
Change in Femoral Artery Flow-Mediated Dilation Post-Vaping-3.20 ± 0.90
PrimaryChange in Washout Time Post-Vaping

Transit time of desaturated capillary blood from tissue to the imaging location after e-cigarette vaping

Time frame:
Washout time calculation occurred at two time points: 1) pre-vaping, and 2) 40 minutes post-vaping
Reported as:
Mean · Seconds
Change in Washout Time Post-Vaping
SecondsHealthy, Non-Smokers
Change in Washout Time Post-Vaping-1.50 ± 0.30
PrimaryChange in Upslope Post-Vaping

Tissue oxygen resaturation rate after e-cigarette vaping.

Time frame:
Upslope was calculated at two time points: 1) pre-vaping, and 2) 40 minutes post-vaping
Reported as:
Mean · percentage of oxygen saturation/sec
Change in Upslope Post-Vaping
percentage of oxygen saturation/secHealthy, Non-Smokers
Change in Upslope Post-Vaping0 ± 0.20
PrimaryChange in Overshoot Post-Vaping

Degree of overcompensatory effect post-vaping in the supply of oxygen after ischemia.

Time frame:
Overshoot was calculated at two time points: 1) pre-vaping, and 2) 40 minutes post-vaping.
Reported as:
Mean · percentage of oxygen saturation/sec
Change in Overshoot Post-Vaping
percentage of oxygen saturation/secHealthy, Non-Smokers
Change in Overshoot Post-Vaping10 ± 2.0
PrimaryChange in Breath Hold Index Post-Vaping

Rate of increase in blood flow velocity in the superior sagittal sinus from intermittent volitional apnea.

Time frame:
Breath hold index was calculated at two time points: 1) pre-vaping, 2) five minutes post-vaping.
Reported as:
Mean · Centimeters per Seconds Squared
Change in Breath Hold Index Post-Vaping
Centimeters per Seconds SquaredHealthy, Non-Smokers
Change in Breath Hold Index Post-Vaping-0.02 ± 0.02

Adverse events

Collected over Six Hours.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Healthy, Non-Smokers0/31 (0%)0/31 (0%)0/31 (0%)

Baseline characteristics

Pre-intervention status (i.e. pre-vaping).

Age, Categorical
Age, Categorical(Participants)Healthy, Non-Smokers
<=18 years0
Between 18 and 65 years31
>=65 years0
Sex: Female, Male
Sex: Female, Male(Participants)Healthy, Non-Smokers
Female14
Male17
Ethnicity (NIH/OMB)
Ethnicity (NIH/OMB)(Participants)Healthy, Non-Smokers
Hispanic or Latino2
Not Hispanic or Latino29
Unknown or Not Reported0
Region of Enrollment
Region of Enrollment(participants)Healthy, Non-Smokers
United States31
08

Study locations

1 site
  • University of Pennsylvania Perelman School of Medicine
    Philadelphia, Pennsylvania 19104, United States
09

References and documents

Publications

  • Zamani P, Proto EA, Wilson N, Fazelinia H, Ding H, Spruce LA, Davila A Jr, Hanff TC, Mazurek JA, Prenner SB, Desjardins B, Margulies KB, Kelly DP, Arany Z, Doulias PT, Elrod JW, Allen ME, McCormack SE, Schur GM, D'Aquilla K, Kumar D, Thakuri D, Prabhakaran K, Langham MC, Poole DC, Seeholzer SH, Reddy R, Ischiropoulos H, Chirinos JA. Multimodality assessment of heart failure with preserved ejection fraction skeletal muscle reveals differences in the machinery of energy fuel metabolism. ESC Heart Fail. 2021 Aug;8(4):2698-2712. doi: 10.1002/ehf2.13329. Epub 2021 May 15. PubMed 33991175 ↗
  • Langham MC, Caporale AS, Wehrli FW, Parry S, Schwartz N. Evaluation of Vascular Reactivity of Maternal Vascular Adaptations of Pregnancy With Quantitative MRI: Pilot Study. J Magn Reson Imaging. 2021 Feb;53(2):447-455. doi: 10.1002/jmri.27342. Epub 2020 Aug 25. PubMed 32841482 ↗
  • Kligerman S, Raptis C, Larsen B, Henry TS, Caporale A, Tazelaar H, Schiebler ML, Wehrli FW, Klein JS, Kanne J. Radiologic, Pathologic, Clinical, and Physiologic Findings of Electronic Cigarette or Vaping Product Use-associated Lung Injury (EVALI): Evolving Knowledge and Remaining Questions. Radiology. 2020 Mar;294(3):491-505. doi: 10.1148/radiol.2020192585. Epub 2020 Jan 28. PubMed 31990264 ↗
  • Chatterjee S, Caporale A, Tao JQ, Guo W, Johncola A, Strasser AA, Leone FT, Langham MC, Wehrli FW. Acute e-cig inhalation impacts vascular health: a study in smoking naive subjects. Am J Physiol Heart Circ Physiol. 2021 Jan 1;320(1):H144-H158. doi: 10.1152/ajpheart.00628.2020. Epub 2020 Nov 20. PubMed 33216614 ↗
  • Wehrli FW, Caporale A, Langham MC, Chatterjee S. New Insights From MRI and Cell Biology Into the Acute Vascular-Metabolic Implications of Electronic Cigarette Vaping. Front Physiol. 2020 May 21;11:492. doi: 10.3389/fphys.2020.00492. eCollection 2020. PubMed 32528311 ↗
  • Caporale A, Langham MC, Guo W, Johncola A, Chatterjee S, Wehrli FW. Acute Effects of Electronic Cigarette Aerosol Inhalation on Vascular Function Detected at Quantitative MRI. Radiology. 2019 Oct;293(1):97-106. doi: 10.1148/radiol.2019190562. Epub 2019 Aug 20. PubMed 31429679 ↗
  • Chatterjee S, Tao JQ, Johncola A, Guo W, Caporale A, Langham MC, Wehrli FW. Acute exposure to e-cigarettes causes inflammation and pulmonary endothelial oxidative stress in nonsmoking, healthy young subjects. Am J Physiol Lung Cell Mol Physiol. 2019 Aug 1;317(2):L155-L166. doi: 10.1152/ajplung.00110.2019. Epub 2019 May 1. PubMed 31042077 ↗
  • Caporale A, Lee H, Lei H, Rao H, Langham MC, Detre JA, Wu PH, Wehrli FW. Cerebral metabolic rate of oxygen during transition from wakefulness to sleep measured with high temporal resolution OxFlow MRI with concurrent EEG. J Cereb Blood Flow Metab. 2021 Apr;41(4):780-792. doi: 10.1177/0271678X20919287. Epub 2020 Jun 14. PubMed 32538283 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No

10

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from May 2018 to primary completion in Aug 2022, 51 months.

Results were first posted in May 2024, 1 year 8 months after primary completion.

Of 63 non-industry phase 1 interventional studies under Inflammation, half reached primary completion within 28 months of starting (the median), counting those still running; a quarter within 17 and three quarters within 56. This study's 51 months is above that.

Counting every sponsor, half of 82 studies reached it within 21 months; a quarter within 10 and three quarters within 51.

How these figures are worked out, and which studies are left out of them.

Registered
Feb 28, 2018
First posted
Mar 27, 2018
StartActual
May 22, 2018
Primary completionActual
Aug 31, 2022
CompletionActual
Aug 31, 2022
Results first posted
May 8, 2024
Last update
May 8, 2024
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on May 8, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT03479203
Responsible party
Felix W. Wehrli (Professor of Radiologic Science, Biochemistry and Biophysics, University of Pennsylvania) — Principal investigator
First posted
Mar 27, 2018
Start date
May 22, 2018
Primary completion
Aug 31, 2022
Completion
Aug 31, 2022
Results posted
May 8, 2024
Last update
May 8, 2024

Study contacts

Felix W. Wehrli, PhD
principal investigator · University of Pennsylvania

Oversight

Data monitoring committee
No
FDA-regulated drug
Yes
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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