Tuberculosis Clinical Trial
The purpose of this pilot study is to evaluate the sensitivity and specificity of a
nanotube-based point-of-care breath-based tuberculosis screening test as compared to the
current standards of care including sputum microscopy, sputum culture, chest X-ray, and
GeneXpert (MTB/RIF).
The primary objective is to determine an initial estimate of the sensitivity and specificity
of a nano-tube based point-of-care test for the diagnosis and screening of active pulmonary
tuberculosis.
Secondary objectives include the collection of user data to test and further develop the
screening platform based on end-user feedback.
TB is an infectious disease caused by various strains of mycobacteria. It typically infects
the lungs and is spread through the air when an infected patient sneezes, coughs, or spits.
When this occurs, the TB bacilli are propelled into the air in droplets that can remain
suspended for long periods of time. An individual simply needs to inhale a small amount of
bacilli to become infected.
Conventional methods for TB detection and diagnosis are traditionally performed in
laboratories or hospitals. For example, the most common method for diagnosis of TB is the
acid fast staining of a sputum sample which is then followed by a sputum smear microscopy
test. However a disadvantage with the sputum smear test is its poor sensitivity, which is
estimated to be at 70%. Additionally, the sensitivity of sputum smear spectroscopy in field
settings has been shown to be much lower (35%), especially in populations that have high
rates of TB and HIV coinfection. Culturing of mycobacterium from sputum samples is a more
sensitive technique. Sputum samples are collected and cultured in either solid media or
liquid media looking for the presence of the mycobacterium. However this methodology takes
time to conduct (3-4 weeks for solid cultures, and 10-14 days for liquid cultures), which
makes it difficult to employ in low resource settings that are typically far from testing
facilities.
Recently, other technologies have been developed including fluorescence microscopy for smear
tests (10% more sensitive than light microscopy), LED fluorescent microscopy for inexpensive
imaging equipment that can be used in the field without the need for a darkroom, and rapid
culturing techniques to reduce incubation time. Despite all the improvements that have been
made in TB diagnosis, no simple inexpensive POC test is currently available. The techniques
mentioned above either focus on variations of microscopy or culture technique. In either
case, these methods require lab facilities and highly trained personnel that typically are
not available in many rural or low resource areas.
Recent research has shown that various strains of the mycobacteria produce distinct gaseous
volatile biomarkers that can be used as a methodology for detecting and identifying the
mycobacterium. Specifically, Syhre and Chambers found that Mycobacterium tuberculosis and
Mycobacterium bovis cultures give off four specific volatile organic biomarkers (VOBs):
methyl phenylacetate, methyl p-anisate, methyl nicotinate, and o-phenylanisole. These
compounds were detectable before the visual appearance of colonies, which could have
implications in detection of latent TB infection. Syhre et al. were able to detect
statistically significant differences of methyl nicotinate in the breath of smear positive TB
patients when compared to healthy (smear negative) subjects. Analyses in these studies were
done using gas chromatography/mass spectroscopy analysis tools. While they are effective in
identifying and quantifying complex gas samples, they are expensive, bulky, and not
appropriate for point of care (POC) diagnostics.
These challenges associated with the diagnosis of TB are significant as TB is the second
leading cause of death due to a single infectious organism and is responsible for 1.3 million
deaths annually (over 3,500 every day), according to the WHO. Overall, an estimated 2 billion
people are currently infected worldwide with 8.6 million new active infections occurring each
year.[8] Each of these individuals can transmit the disease to 10 to 15 people per year and
face a mortality rate of 50% if untreated. The economic burden of TB is staggering as the
World Bank estimates that high burden countries can lose up to 7% of GDP due to productivity
losses from TB patients and their caretakers. It is so critical that the World Bank committed
$100 million to testing for and treating TB in India in 2014 alone.
Of the 8.6 million new active TB cases that occur annually, the WHO estimates that roughly 3
million of these patients are 'missed' and do not receive the diagnosis or care they need.
One of the primary reasons for this gap is delays in accessing TB-related care or long lead
times for diagnostic tests. As a result, developing new large scale screening tests (also
known as triage or 'rule out' tests) are particularly needed due to the fact that up to 80%
of people tested for TB do not have active disease, stretching the limited and valuable
resources that are devoted for diagnostic testing. As a result, FIND, a world leader in
guiding and coordinating research and development for diseases such as TB, ranked the
development of new screening tests as one of the top 3 priorities in the fight against TB.
This pilot study will be conducted to determine if a newly developed sensing methodology for
screening TB at the POC based on volatile biomarkers is feasible through the use of a low
cost solid-state sensor using functionalized 3D TiO2 nanotube arrays that bind the volatile
biomarkers. If the clinical sensitivity is sufficient, this technology could provide a means
for identifying many of the 'missed' TB patients and allow testing resources and efforts to
be focused on those at the highest risk of having the disease.
Previously, we have tested the breath profile of a small number patients from local TB
clinics and have confirmed the presence of these biomarkers in their breath (IRB_0065207).
Larger patients studies are now required to gain an estimate of the sensitivity and
specificity to determine the potential of using the sensor as a screening test. This study
will be conducted in Mumbai, India with the University's Research Electronic Data Capture
(REDCap) system used to securely collect and store the data from this study.
This study has been reviewed and approved by the Mahatma Gandhi Mission Institute of Health
Sciences Ethical Committee for Research on Human Subjects and Scientific Advisory Committee.
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