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Introduction
The
habit of chewing betel nuts is prevalent in
developing countries like India, Indonesia, and
Bangladesh. In India, the use of chewable tobacco
has increased in Gujarat. Tobacco smoking is a
primary cause of oral diseases, including
periodontal disease, significantly affecting
patients' quality of life by impairing dental
function and aesthetics (1). It weakens the immune
system and slows wound healing, contributing to
the degeneration of periodontal tissue (2). In
rural areas of India and some third-world
countries, cultural practices often lead to the
combined use of chewable tobacco, such as pan
masala/gutka, and betel nut, increasing the risk
of oral submucous fibrosis (OSF), a premalignant
condition (3). Early diagnosis of OSF is crucial;
in later stages, it compromises the oral cavity,
causing complications in speech, mastication, and
swallowing (4).
Chewing betel nuts
is as addictive as tea, coffee, and alcohol,
containing psychoactive substances that provide
partial recreational effects. Tobacco chewing can
cause oral issues like tooth stains and thickened
saliva, and may lead to symptoms in young adults,
such as a dry face, constricted food pipe, and
dizziness. Common complications among tobacco
users include ulcers, pain while swallowing, and,
in later stages, respiratory and cardiac symptoms
like asthma, decreased blood pressure, and
increased heart rate (5). Apart from that, the OSF
increases the risk of acquiring infection with
hepatitis (6). Tobacco consumption also leads to
vitamin and nutritional deficiency and irritation
while eating spicy food (7).
There may be
compromised mouth opening due to various factors,
including spasms, muscular dysfunction, and
contraction of mucous membranes caused by OSF
(8,9). Additionally, dysphagia is another standard
clinical parameter in patients with reduced
chewing and speaking abilities, adversely
impacting their quality of life due to significant
pain, malnutrition, and poor oral hygiene. These
patients present challenges for intubation if
surgery is required, potentially leading to
life-threatening scenarios in a patient owing to
immense pain, malnutrition and low oral hygiene.
These patients are challenging to intubate if
elected for any surgery, and it could create
life-threatening scenarios (10,11).
Oral Squamous Cell
Carcinoma (OSCC) is the most common type of oral
cancer, affecting areas such as the lips, gums,
tongue, and inner cheeks (12). In 2021, an
estimated 54,010 new cases of oral cavity and
oropharyngeal cancers were diagnosed in the U.S.,
with 10,850 deaths reported (13). The precise
cause of OSCC is unknown, but key risk factors
include tobacco and alcohol use, HPV infection,
poor dental hygiene, and a weakened immune system.
OSCC often begins as a white or red patch in the
mouth, progressing to chronic sores or lumps.
Diagnosis is confirmed via biopsy, with imaging
(X-rays, CT, or MRI) used to assess malignancy.
Treatment options such as surgery, radiation
therapy, chemotherapy, or a combination of these
are determined by the cancer’s stage and the
patient’s overall health (14). Tobacco use remains
a significant risk factor, with an estimated 1.3
billion global smokers, 80% residing in low- and
middle-income nations, contributing to the burden
of OSCC and related cancers (15,16)
Tobacco smoking is a
major global health issue, causing over 6 million
deaths annually, including many non-smokers
exposed to second-hand smoke. It leads to chronic
diseases such as cancer, heart disease, and lung
diseases due to harmful components like nicotine
and toxic chemicals. Smoking is especially
prevalent in low- and middle-income countries,
contributing to severe public health challenges.
Nicotine leads to
both physical and psychological dependence,
compounded by habitual smoking. Non-smokers,
especially children exposed to second-hand smoke,
also face serious health risks. Long-term smoking
causes chronic respiratory issues, cardiovascular
diseases, and cancers, weakening the respiratory
system and increasing infection risk. The future
impact of tobacco is alarming, particularly in
developing nations where usage rates are rising.
If this continues, tobacco-related deaths may
escalate as younger smokers age. This situation
underscores the urgent need for effective
cessation programs and public health strategies.
Additionally, research into biomarkers for
diagnosing tobacco-related cancers, such as oral
squamous cell carcinoma (OSCC) is progressing,
which could enhance detection and treatment.
This study aims to
evaluate the severity of oral squamous fibrosis
(OSF) using clinical parameters such as MPC, MMO,
Dysphagia, and Thyromental distance. A survey of
biomarker detection at the early stage may create
a bridge between the Mallampati classification and
the differences between tobacco and non-tobacco
chewers. Hence, we hypothesised to determine the
difference in the Mouth opening grading,
Mallampati classification, Dysphagia, and
Thyromental distance between tobacco chewers and
non-tobacco chewers, as well as biomarker
detection.
Material and Methods
Study Design
The prospective
comparative study was meticulously conducted over
a span of two years, from June 2023 to August
2025. This research focused on gathering vital
data from hospitals located in the Anand region of
Gujarat, a vibrant area known for its diverse
population and healthcare challenges. Before the
commencement of the study, an advisory scientific
research committee rigorously reviewed and
approved the research protocol. In alignment with
ethical guidelines, informed consent was obtained
from all participants, ensuring their
understanding and willingness to partake in the
study, as outlined by IEC-9/ARIBAS/2022-23/E-7.
This comprehensive approach underscores the
commitment to ethical standards and the integrity
of the research process.
Study Sample
In the present
study, 200 patients were included, out of which
131 were male, and 69 were female, in the age
range between 18 and 90 years. Out of 200
patients, 100 were tobacco chewers, and 100 were
non-tobacco chewers. Patients visiting the
hospital for general surgeries, such as
cholecystectomy, hernioplasty, appendectomy, and
Circumcision, were included in the study. Patients
should be between 18 and 90 years old based on the
inclusion criteria. Patients below the age of 18,
facial traumas, emergency patients, unwillingness
to give consent, cigarette smokers and “bidi”
smokers were excluded from the study. We
classified the patients into two groups:
tobacco-consuming patients as “group T” and
non-tobacco consumers as “group NT”.
Oral
Assessment
During the study,
patients underwent a thorough oral examination in
a sterile environment to assess the clinical
status of the internal structures of the mouth. A
skilled anaesthesia technologist took the
measurements under the supervision of an
anaesthesiologist. All the gathered data was
meticulously documented using a specialised form
explicitly designed for this research study.
Modified Mallampati Classification (MMC), Maximal
mouth opening (MMO) and Thyromental Distance (TD)
were used to evaluate the internal structures of
the oral cavity. Patients were asked if they had
difficulties swallowing food (Dysphagia).
Mallampati classification was used to assess the
internal structures of the oral cavity, such as
the uvula, soft palate, faucets, and pillars. MMO
is a technique used to check the adequacy of the
mouth opening of a patient by measuring the
distance between the upper and lower incisors.
Mouth opening was assessed with the help of a
Vernier calliper. TD was used to evaluate if there
is any decrease in the distance between the
thyroid cartilage and the tip of the chin with the
neck fully extended. Further, the MMC, MMO and TD
were classified as.
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Table 1. Clinical parameters and
their features were assessed at the time
of the study.
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Clinical Parameters
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Clinical Features
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Modified Mallampati
Classification (18)
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MPC- I
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Visualization of uvula, soft palate,
faucets and pillars
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MPC II
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Visualization of the soft palate, uvula
and faucets
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MPC III
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Visualisation of the base of the uvula
and soft palate
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MPC IV
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Visualisation of only the hard palate
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Maximal Mouth Opening
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Normal
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Inter-incisor gap 4 cm or more
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Restricted
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Inter-incisor gap less than 4 cm
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Thyromental Distance
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Normal
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More or equal to 6 cm
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Restricted
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Less than 6 cm
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Statistical
Analysis
Statistical analysis
was done with IBM SPSS Statistics for Windows,
version 26 (IBM Corp., Armonk, N.Y., USA).
Differences in demographic features such as age
and gender were measured using the Student's
t-test and the chi-square test. The clinical
parameters, including Mallampati classification,
maximal mouth opening, dysphagia, and Thyromental
distance, were compared between the T and
NT-consuming groups using a chi-square test. The
statistical analysis by SPSS was considered
significant when the P value was < 0.05.
Biomarker
detection study
From the data
procured from the previous objectives, we
recruited 5 females (35-45 years) and 35 males
(30-75 years) who expressed their willingness to
participate in this study. Participants had to be
free of fever or cold, non-smokers, and have good
oral hygiene. Participants were asked to refrain
from eating and drinking for two hours before
saliva collection to obtain a relatively constant
baseline.
Sample
collection: Saliva samples were
collected from individuals who regularly chew
tobacco, following ethical guidelines and informed
consent procedures. To minimise contamination, the
participants were asked to refrain from eating,
drinking, or chewing tobacco for at least 30
minutes before collection. Using sterile plastic
saliva collection tubes, approximately 2–3 mL of
unstimulated saliva was collected by having
participants naturally enter the tubes. The
samples were immediately transported on ice to the
laboratory to prevent degradation, where they were
stored at -40°C until further analysis. The
collection procedure ensured minimal contamination
and maintained the integrity of the samples for
downstream molecular analyses such as DNA
extraction and biomarker detection (17).
Isolation of
DNA from a saliva sample:
DNA isolation from
saliva begins with collecting a saliva sample,
typically by having the donor spit into a paper
cup. Once the sample is collected, the cells are
lysed by adding two drops of dishwashing liquid,
which breaks down the cell membranes and releases
the DNA. Next, DNA purification is carried out
using the precipitation method. This involves
adding ½ cup of isopropyl alcohol to ¼ cup of the
saliva sample, which causes the DNA to precipitate
out of the solution. The quality and quantity of
the purified DNA are then assessed using gel
electrophoresis. Finally, the DNA is stored in a
TE buffer to maintain its integrity for future
applications.
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Table 2: List of standardised
primers used for amplification by
Polymerase Chain Reaction (PCR)
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Gene Name
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Sequence
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Tm [°c]
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cathepsin v-F
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ATTTGGATACAAAGTGGTACC
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54
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cathepsin v-R
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TTCCAGGTGCGACCACTGTG
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61
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kallikrein5-F
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CGTCCACTAAAGATGTCAGACC
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62
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kallikrein5-R
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TCAAGCACGGAGGACCTTAGG
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62
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adam 9-F
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CTTGCTGCGAAGGAAGTACCTG
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62
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adam 9-R
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CACTCACTGGTTTTTCCTCGGC
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62
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PCR Amplification and Sequencing
Primers for cathepsin
V, ADAM9, and kallikrein 5
were designed to target specific regions of
interest, typically ranging from 18–25 base pairs
in length, with melting temperatures (Tm) between
55–62°C. The detailed primer sequences and their
corresponding Tm values are presented in Table 2.
PCR amplification was carried out in a final
reaction volume of 25 µl, containing 15 µl of
Hi-Chrom PCR Master Mix (2X), 1 µl of forward
primer (10 µM), 1 µl of reverse primer (10 µM),
and 2 µl of template DNA (minimum 100 ng), with
the volume adjusted using molecular biology-grade
water. Amplification was performed in a thermal
cycler with an initial denaturation at 94°C for 5
minutes, followed by 35 cycles of denaturation at
94 °C for 45 seconds, annealing at gene-specific
temperatures (62°C for cathepsin V, 60°C
for kallikrein 5, and 59°C for ADAM9)
for 30 seconds, and extension at 72°C for 30
seconds. A final extension was conducted at 72°C
for 5 minutes (cathepsin V) or 7 minutes
(kallikrein 5 and ADAM9), after
which reactions were held at 4 °C until further
analysis. All positively amplified products,
including controls, were purified and subjected to
sequencing for validation. Sequencing data were
analyzed to determine similarities, differences,
and evolutionary relationships. Throughout DNA
isolation and PCR processing, products were
quantitatively assessed using Nanodrop (ND-1000)
and qualitatively evaluated by gel
electrophoresis.
Results and Discussion
The habit of tobacco
chewing was significantly higher in males than in
females. (P 0.0018). Comparing the clinical
parameters for the oral assessment revealed that
the number of individuals in the later stages of
MPC was significantly higher. (P= 0.000) in the
tobacco chewing group as compared to non-tobacco
chewers. Restricted mouth opening was observed in
almost 80% of the tobacco chewers, while in
non-tobacco chewers, the numbers were meagre (P=
0.000). An increased number of patients among
tobacco-chewing groups complained about difficulty
swallowing, as there were no such complications in
non-tobacco chewers. (P= 0.000) There was no
difference in the Thyromental distance between the
groups, and we didn’t find any significance
either.
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Table 3: Demographic
characteristics of tobacco and
non-tobacco consuming population
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Demographic characteristic
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Tobacco (Group T)
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Non-Tobacco (Group NT)
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P -value
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Mean age (in years) ±SD
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48.02 ±16.45
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46.52 ±13.39
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0.4805
|
| Gender |
|
|
0.0018 |
| Male |
76 |
55 |
| Female |
24 |
45 |

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| Figure
1: Gender-wise distribution of tobacco and
non-tobacco consumers |
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Table 4: Comparison of clinical
parameters of oral Assessment between
tobacco and non-tobacco chewing
populations
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Parameters
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Group Tobacco (N= 100)
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Group Non-Tobacco (N= 100)
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P
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MPC (N)
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.000
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Class I and II
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42
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97
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Class III and IV
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58
|
03
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Maximal Mouth Opening (N)
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.000
|
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Normal
|
15
|
91
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Restricted
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85
|
09
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Dysphagia (N)
|
.000
|
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Yes
|
56
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13
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No
|
44
|
87
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Thyromental Distance (N)
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0.761
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≥ 6 cm
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68
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70
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< 6 cm
|
32
|
30
|

|

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Figure 2 (A): Severity
of Mallampati classification in both
groups. (B): The assessment has outlined
the variations in mouth-opening capability
observed between the two groups."(T and
NT).
|

|

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| Figure 3 (A): Graphical
distribution of patients having difficulty
in swallowing for both groups. (B):
Graphical distribution of thyromental
distances among both groups. |
The analysis
revealed the successful amplification of specific
genetic products, confirming the presence of a 218
base pair (bp) fragment corresponding to the Kallikrein
gene in 4 samples having tobacco chewing habits
for 10 years or more. Additionally, a larger
amplified product, the Cathepsin V
gene and the adam9 gene, was not
observed in any of the samples. These results not
only validate the targeted amplification but also
provide critical insights into the genetic
characteristics of the samples analysed.

|
| Figure
4: A Phylogenetic analysis showing the
distribution of amplified product with the
reference gene specifically focused on the
kallikrein gene family, which
encodes serine proteases involved in
various physiological processes. The tree
helps visualise which kallikrein variants
are more closely related (connected by
shorter branches) versus those that
diverged earlier in evolutionary history
(connected by longer branches or more
nodes). |
A study conducted in
Gujarat indicates an increase in tobacco
consumption, resulting in various related
complications. Approximately 85% of the
tobacco-chewing demographic are in their early 30s
(18). Historically, males have dominated tobacco
use, particularly in the age range of 40 to 60
years (19). The current research shows a higher
prevalence of tobacco consumption among males
compared to females. The average age, along with
standard deviation, for tobacco users is 48.02 ±
16.45 years, while for non-tobacco users it is
46.52 ± 13.39 years. The traumatic effects of
chewing tobacco can severely damage the oral
mucosa, leading to peeling and exfoliation of
surrounding tissue (20). Wollina et al.
note that chewing betel quid causes oral cavity
fibrosis, which can mutilate the soft palate,
uvula, and surrounding areas. The buccal mucosa
and soft palate are notably affected by excessive
consumption (21).
The Mallampati
classification is commonly employed to predict
difficult intubation in pre-operative assessments.
Previous studies have shown that an MPC of III or
higher correlates with difficulty in intubation
within the tobacco-chewing population. In our
research, we applied the MPC to assess the oral
cavity structures of both groups and identified a
significant difference. The tobacco-consuming
group had a higher incidence of patients with MPC
III or greater compared to non-tobacco consumers:
only three patients out of 100 in Group NT versus
58 in Group T, showing MPC III or above. Evidence
points to significant difficulties with mouth
opening in patients who chew tobacco, attributed
to the formation of fibrous bands (21).
During our study,
mouth opening was measured using a Vernier
calliper, revealing that tobacco chewers had
restricted mouth openings (interincisor gap less
than 4 cm) in comparison to non-tobacco users.
This restriction likely stems from prolonged
tobacco use. Previous studies have linked
dysphagia, or difficulty in swallowing, to
restricted mouth openings (22). This condition can
deteriorate a person’s nutritional status and
quality of life (23).
In our current
study, we inquired about patients' swallowing
difficulties, finding a greater prevalence of
dysphagia among the tobacco-consuming group
compared to non-users. Mittal et al. concluded
that caries rates were higher among smokers when
compared to non-smokers, whereas tobacco chewers
exhibited lower rates; however, any form of
tobacco use is tied to multiple health issues,
including cancer, low birth weight, and heart and
lung disorders. The adverse effects of tobacco on
oral health are evident (24). Many patients
reported pain while swallowing food.
Due to limited
previous studies, we undertook another assessment
to examine the thyromental distance in patients,
finding no clinically significant differences
between the groups. No link was established
between reduced thyromental distance and tobacco
use. Variations in space sizes among individuals
made it challenging for experts to define
limitations for specific patients. Nevertheless,
body metrics such as height, weight, and age
remain crucial in diagnosis (25).
Most patients in our
study were from rural areas with low literacy
rates. The reluctance of patients to participate
posed a significant challenge, affecting both the
sample size and the overall validity of the
research.
A pioneering primary
study investigating biomarkers showed that a
collaborative approach could effectively merge
clinical diagnostic methods with molecular
techniques. Notably, 10% of the 40 patients
enrolled in this study were quickly identified as
having elevated Kallikrein levels. This
underscores the potential of rapid diagnostic
methods, which could be developed to support early
cancer predictions, particularly among both
tobacco chewers and non-chewers. Such innovations
might lead to improved screening and intervention
strategies in the future.
Conclusion
This investigation
examines the oral health differences between
tobacco users and non-users. We found significant
differences in key health measures, such as the
Modified Mallampati Classification, mouth opening,
and swallowing difficulties, all with low p-values
(p=0.000). This shows these measures can identify
the risk of oral submucous fibrosis (OSF) early in
tobacco users. Our analysis shows a male
predominance among tobacco users (p=0.0018), but
no significant age difference (p=0.4805). This
highlights the need for targeted prevention
efforts. By combining clinical assessments with
genetic analysis, our study offers a comprehensive
method for detecting OSF risk in tobacco chewers.
Additionally, our finding of no significant
difference in thyromental distance (p=0.761)
suggests it may not be helpful for OSF assessment.
Overall, this research emphasises the importance
of combining clinical and molecular factors for
better OSF risk management. We also discovered Kallikrein
gene amplification in 10% of participants,
suggesting it could be a marker for
tobacco-related oral changes. While no
amplification was found in adam and cathepsin
genes, the Kallikrein expression
warrants further study to understand its role in
oral tissue inflammation and fibrosis.
Funding
No Funding Source.
Declaration of Competing
Interests
The authors declare that they have no known
competing financial interests or personal
relationships that could have appeared to
influence the work reported in this paper.
Acknowledgements
The authors thank the respective institutions for
providing work facilities and the hospitals for
their permission. Special thanks go to Dr. Harshil
Chavda for their permission during data
collection.
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