Physiological Variables Research Articles

Diuretic Potentiation Strategies in AcuteHeartFailure.

Several trials have evaluated diuretic-based strategies to improve symptoms and outcomes in patients with acute heart failure (AHF). The authors sought to summarize the effect of different combination strategies on symptoms, physical signs, physiological variables, and outcomes in patients with AHF. Twelve trials were identified that assessed the addition of thiazide diuretics, sodium-glucose cotransporter 2 inhibitors, mineralocorticoid receptor antagonists, vasopressin receptor antagonists, carbonic anhydrase inhibitors, or loop diuretic intensification to conventional therapy for AHF. The trials evaluated short-term markers of congestion and symptoms, and none were powered for clinical outcomes. Short-term responses (such as relief from dyspnea, physical signs of congestion, and weight change) varied greatly across studies; all diuretic strategies were accompanied by short-term increases in serum creatinine and did not demonstrate benefits on mortality or recurrent heart failure events. The available evidence suggests that intensification of loop diuretic agents produces relief of physical signs of decongestion, but the importance of different strategies for short-term decongestion strategy for health status and long-term outcomes has not been established.

Relationships between activity monitoring device data and ovarian, uterine, hormonal, and pregnancy variables in beef cows.

Implementing accelerometer technologies in beef operations is an alternative to increase precision in estrous detection. We hypothesized that (1) the accelerometer algorithm has similar accuracy in detecting behavioral estrus as does visual observation of pressure-sensitive sensors (estrus patches) in grazing beef cows; (2) variables measured by the accelerometer, such as estrus intensity, are associated with hormonal, ovarian, and uterine variables monitored before, during, and after estrus; and (3) the accelerometer variables are associated with the probability of pregnancy in grazing beef cows submitted to embryo transfer (ET). Fifty cows were fitted with accelerometer and patches to detect estrus after a synchronization protocol in eight subsequent rounds. For each round, only cows that showed estrus (day 0; D0) received ET. Follicular diameter, endometrial thickness, corpus luteum (CL) area, and estradiol (E2) and progesterone (P4) concentrations were measured during proestrus, estrus, and early diestrus. On D7, ET was performed. Pregnancies were diagnosed on D46 and cows recovered for 35D before a new replicate. Patches had a greater accuracy (98% vs. 91%) of detection of behavioral estrus than accelerometer algorithm. Cows with lower estrus intensity in the accelerometer had greater follicular diameter on D0 (P=0.022), CL area on D4 and D7 (P=0.05), endometrial thickness on D-1 (P=0.10), and reduced E2 concentrations on D-1 (P=0.0032). The accelerometer variables did not predict accurately the probability of pregnancy/ET. In conclusion, visual observation of patches was more accurate in detecting estrus than the accelerometer algorithm and most of the associations between accelerometers and physiological variables were for characteristics measured at proestrus.

Evaluation of some physiological and histological variables in women with polycystic ovary syndrome in Kirkuk / Iraq

Evaluation of some physiological and histological variables in women with polycystic ovary syndrome in Kirkuk / Iraq

CHARACTERISTICS OF DIABETES MELLITUS DEVELOPED POST-COVID-19 INFECTION IN ADULTS

Background: This integrative review aimed to identify the specific criteria researchers have used in their studies to classify and treat post-COVID-19 Diabetes Mellitus (DM) compared to other types of DM recognized by the International Diabetes Federation (IDF) and the World Health Organization(WHO). Materials and Methods: In this study, an integrative review of the literature was used. The search strategy began with three electronic databases (CINAHL, Coronavirus Research, and MEDLINE/PubMed). Considering the inclusion criteria, published studies that examined the new onset or early onset of DM post-COVID-19 infection in adults were chosen. Data extraction and analysis were completed on all included studies. The final sample for this integrative review comprised 20 studies. Results: The findings of this integrative review indicated the demographic and physiological variables associated with post-COVID-19 DM compared to the other types of DM (T1DM, LADA, and T2DM). These findings have been divided into three themes: Theme 1—the nomenclature of post-COVID-19 DM Theme 2—the individual risk factors for developing post-COVID-19 DM including the subthemes of demographic variables and physiological variables (lab tests) and Theme 3- Post-COVID-19 DM treatment. Conclusion: In general, the findings of this integrative review highlighted that post-COVID-19 DM might be considered a novel form of DM with unique genetic features. This integrative review called attention to the need for further research on post-COVID-19 DM.

Thermoneutral temperature and thermal stress of sheep creole: physiological and ingestive behaviour

ABSTRACT This research aims to evaluate the physiological variables of native sheep raised in a controlled environment with different temperatures. Twenty-four entire male sheep of the Santa Inês (SI), Morada Nova (MN), no defined racial pattern (NDRP) and Soinga (SO) breeds were used. Rectal temperature (RT), respiratory rate (RR), heart rate (HR) and surface temperature (ST) were collected twice a day, during the last 5 days of each experimental phase. The HR (P = 0.001) showed a significant effect for the breed and temperature interaction. RT (P = 0.002) and HR (P < 0001) showed a significant effect of breed, where RT presented the highest value in the SI and NDRP breeds and similar to the SO, the MN presented the lowest value for RT. The RT, RR, HR, ST and SKT showed a significant effect (P < 0.0001) in relation to temperature. The STRT and SKTRT thermal gradients showed a significant difference (P < 0.0001) as a function of temperature. The groups were similar in terms of adaptation, even MN presenting low values for RT and HR, which changed abruptly considering the temperatures evaluated and from 28°C onwards the physiological variables are altered.

Evaluation of latent-transforming growth factor beta-binding protein, dopamine and serotonin in patients with chronic epilepsy according to disease type and body mass index

The study aimed to evaluate some biochemical, immunological, physiological and neurotransmitter variables in chronic epilepsy patients. The study comprised 60 patients with epilepsy and a control group of 30 healthy persons, aged between 15 and 60 years. The investigation involved quantifying the amounts of dopamine, serotonin, latent-transforming growth factor beta-binding protein 1 (LTBP1), alkaline phosphatase (ALP), aspartate aminotransferase (AST), and alanine aminotransferase (ALT). The findings of the present investigation indicated the following: A notable reduction (p≤0.01) in the levels of latent transforming growth factor binding proteins (LTBP1) relative to the control group. A notable elevation (p≤0.01) in the levels of dopamine, alkaline phosphatase (ALP), aspartate aminotransferase (AST), and alanine aminotransferase (ALT) was observed in comparison to the control values. A substantial elevation (p≤0.05) in serotonin levels was observed relative to the control data. This study indicated a reduction in the levels of LTBP1. The concentration of dopamine, serotonin, AST, ALT, and ALP is elevated in patients with persistent epilepsy compared to healthy individuals.

Effects of Polarized Training vs. Other Training Intensity Distribution Models on Physiological Variables and Endurance Performance in Different-Level Endurance Athletes: A Scoping Review.

Rivera-Köfler, T, Varela-Sanz, A, Padrón-Cabo, A, Giráldez-García, MA, and Muñoz-Pérez, I. Effects of polarized training vs. other training intensity distribution models on physiological variables and endurance performance in different-level endurance athletes: a scoping review. J Strength Cond Res XX(X): 000-000, 2024-This scoping review aimed to analyze the long-term effects of polarized training (POL) on key endurance physiological- and performance-related variables and to systematically compare them with other training intensity distribution (TID) models in endurance athletes of different performance levels. Four TID models were analyzed: POL, pyramidal (PYR), threshold (THR), and block (BT) training models. The literature search was performed using PubMed, SportDiscus, Scopus, and Web of Science databases. Studies were selected if they met the following criteria: compared POL with any other TID model, included healthy endurance athletes, men, and/or women; reported enough information regarding the volume distribution in the different training intensity zones (i.e., zone 1, zone 2, and zone 3), assessed physiological (i.e., maximum/peak oxygen uptake, speed or power at aerobic and anaerobic thresholds, economy of movement), and performance in competition or time-trial variables. Of the 620 studies identified, 15 met the eligibility criteria and were included in this review. According to scientific evidence, POL and PYR models reported greater maximum oxygen uptake enhancements. Both POL and PYR models improved the speed or power associated with the aerobic threshold. By contrast, all TID models effectively improved the speed or power associated with the anaerobic threshold. Further research is needed to establish the effects of TID models on the economy of movement. All TID models were effective in enhancing competitive endurance performance, but testing protocols were quite heterogeneous. The POL and PYR models seem to be more effective in elite and world-class athletes, whereas there were no differences between TID models in lower-level athletes.

Analysis of biokinetic parameters reveals patterns in mercury accumulation across aquatic species.

Mercury (Hg) is a potent neurotoxicant and poses a risk to human health through the ingestion of Hg-contaminated fish. Mercury, especially in its organic form methylmercury (MeHg), biomagnifies up food chains such that even small aqueous concentrations of Hg can result in significant concentrations of total Hg in fish. Understanding the ecological and human health risks associated with Hg and MeHg exposure requires an understanding of the factors that affect its bioaccumulation in aquatic species. We compiled estimates of three biokinetic parameters: uptake rate (ku), assimilation efficiency (AE), and efflux rate (ke). These parameters describe contaminant uptake from aqueous (ku) and dietary (AE) exposure and the rate of excretion (ke). We found parameter values for 38 and 34 different species of fish and aquatic invertebrates, respectively, and collected 502 parameter values in total. We used a machine learning technique to establish the relationships between experimental and physiological variables and these parameter values. We found differences in which variables were associated with biokinetic parameter values for fish and aquatic invertebrates. The form of Hg was the most impactful variable, influencing values of all parameters except ku for invertebrates, for which aqueous exposure time was the only significant predicator variable. The parameter ke were the only values significantly influenced by more than one variable, with water type (freshwater, brackish, or marine), organism weight, and form of Hg significantly impacting parameter values for fish and/or invertebrates. To our knowledge, this study represents the most extensive review of biokinetic parameters of Hg and MeHg accumulation in aquatic organisms. Environmental parameters found to significantly impact Hg and MeHg bioaccumulation in past studies were not identified as important in our analyses across aquatic ecosystems and species. Our dataset and analysis reveal novel patterns that may help us better understand and manage Hg bioaccumulation.

Evaluation of Commercial Biostimulants at Three Planting Densities in Roselle (Hibiscus sabdariffa L.) Crop, Guerrero Variety

Objective: The objective was to evaluate the physiological and productive response of roselle crop in the induction of three commercial biostimulants in three greenhouse planting densities. Design/methodology/approach: The experiment consisted of three treatments and a control; T1 (high density) with Super Hormonal, T2 (low density) with Cito Xplosion, T3 (medium density) with Vitaminum Forte and Control (TES). The physiological variables evaluated were (plant height, stem diameter, number of branches, fresh and dry biomass), yield (fresh and dry weight of calyxes) and quality (titratable acidity, total soluble solids (°Brix), pH and electrical conductivity). Results: plant heights of 168.3, 187.3, 219.5, 183.3 cm were obtained for T1, T2, T3 and control. For stem diameter, T2 was better with 2.9 cm, while T3 was better in number of branches. T2 presented a greater number of calyxes, however, the best yield was obtained in T1 with 25.9 t ha-1 of fresh calyxes and 3.86 t ha-1 of dry calyxes. The control was better with 10.1 in °Brix and 45.8 meq/100 g of titratable acidity, while the T1 was better in pH and electrical conductivity as quality parameters. Limitations on study/implications: evaluate other biostimulants in other planting densities and modify the concentration of the nutrient solution to know the physiological and productive response of the plant. Findings/conclusions: The use of biostimulants in combination with agronomic management and nutrition can substantially improve the yield and quality variables of dry calyxes.

Action of Biotic Elicitors on Cherry Tomato Under Saline Stress: Physiological and Biochemical Variables

Action of Biotic Elicitors on Cherry Tomato Under Saline Stress: Physiological and Biochemical Variables

The Influence of Including Goalkeepers on the Intensity Demands of Walking Football Practice.

This preliminary study examined the effects of playing walking football with and without a goalkeeper (GK) on physiological, physical, technical, and perceptual variables in older men. Twenty participants (67 ± 4.7 years) engaged in two five vs. five walking football sessions, one WITH-GK and one WITHOUT-GK, using a randomized crossover design. The heart rate (HR), distance covered, technical actions, perceived exercise intensity, and enjoyment were measured. The results showed a significantly higher average HR (131 bpm vs. 123 bpm, p < 0.001), %HRmax (79% vs. 74%, p < 0.001), and time in higher HR zones (>80%HRmax, p < 0.05) in the WITH-GK condition. Participants also covered more total distance in the WITH-GK condition (1123 m vs. 1083 m, p < 0.001), particularly at speeds above 4 km/h (834 m vs. 781 m, p < 0.001). Conversely, more passes were made in the WITHOUT-GK condition (20 vs. 16 passes, p < 0.001), while the WITH-GK condition showed more shots (two vs. one, p < 0.001). The perceived exercise intensity was slightly higher in the WITHOUT-GK condition (five vs. four, p = 0.01), although the enjoyment levels were similar, with a slight preference for WITHOUT-GK. Overall, playing WITHOUT-GK provides a safer, lower-intensity alternative to WITH-GK, reducing the physical and perceived strain while maintaining enjoyment. This makes WITHOUT-GK particularly suitable for older adults or individuals with health conditions, promoting participation and rehabilitation with minimized risks.

Effect of Yoga and Abdominal Mud Therapy on Glycemic Control and Physiological Variables among Type 2 Diabetic Women

Effect of Yoga and Abdominal Mud Therapy on Glycemic Control and Physiological Variables among Type 2 Diabetic Women

Key factors influencing cycling performance and overall race time in the Ironman 70.3 for amateur athletes

Abstract Purpose Previous study has shown that cycling is the most predictive modality in the Ironman 70.3 triathlon distance. As a result, understanding the physiological and anthropometric variables that are mostly closely related to cycling performance can help coaches and athletes to direct their training programs. This study aimed to investigate the physiological, anthropometric, and general training characteristics influencing overall race time and cycling split time in Ironman 70.3. The present study also investigated the significance of body composition as a performance-related variable. Methods A questionnaire was used to assess training characteristics in 12 athletes (six men and six women), body composition in dual X-ray absorptiometry, and physiological variables in an incremental cardiopulmonary test. Ironman 70.3 São Paulo–Brazil 2023 was completed by all participants. The relationship between performance and the variables measured were investigated, and a multiple regression model for cycling split time and overall race time was developed. Results Functional threshold power (FTP) can predict cycling split time in Ironman 70.3 (r2 = 0.638, p = 0.002). Maximal oxygen uptake ($$\dot{\text{V}}$$ V ˙ O2max) (r2 = 0.667, p = 0.001) can predict overall race time. FTP and $$\dot{\text{V}}$$ V ˙ O2max are also strongly related to lean mass and fat mass percentage. Conclusion While FTP is the most important predictor of cycling split time, $$\dot{\text{V}}$$ V ˙ O2max is the most important predictor of overall race time in an Ironman 70.3. Furthermore, because body composition (fat mass %) and muscle mass (kg) are variables strongly related to FTP and $$\dot{\text{V}}$$ V ˙ O2max, we recommend that coaches and athletes consider to conduct a body composition assessment.

Machine and Deep Learning Models for Hypoxemia Severity Triage in CBRNE Emergencies.

This study develops machine learning (ML) models to predict hypoxemia severity during emergency triage, particularly in Chemical, Biological, Radiological, Nuclear, and Explosive (CBRNE) scenarios, using physiological data from medical-grade sensors. Tree-based models (TBMs) such as XGBoost, LightGBM, CatBoost, Random Forests (RFs), Voting Classifier ensembles, and sequential models (LSTM, GRU) were trained on the MIMIC-III and IV datasets. A preprocessing pipeline addressed missing data, class imbalances, and synthetic data flagged with masks. Models were evaluated using a 5-min prediction window with minute-level interpolations for timely interventions. TBMs outperformed sequential models in speed, interpretability, and reliability, making them better suited for real-time decision-making. Feature importance analysis identified six key physiological variables from the enhanced NEWS2+ score and emphasized the value of mask and score features for transparency. Voting Classifier ensembles showed slight metric gains but did not outperform individually optimized models, facing a precision-sensitivity tradeoff and slightly lower F1-scores for key severity levels. TBMs were effective for real-time hypoxemia prediction, while sequential models, though better at temporal handling, were computationally costly. This study highlights ML's potential to improve triage systems and reduce alarm fatigue, with future plans to incorporate multi-hospital datasets for broader applicability.

All You Need to Know About Allometric Scaling: An Integrative Review on the Theoretical Basis, Empirical Evidence, and Application in Human Pharmacology.

Scaling approaches are used to describe or predict clearance for paediatric or obese populations from normal-weight adult values. Theoretical allometry assumes the existence of a universal bodyweight-based scaling relationship. Although theoretical allometry is highly disputed, it is commonly applied in pharmacological data analyses and clinical practice. The aim of the current review is to (1) increase pharmacologists' understanding of theoretical allometry to better understand the (implicit) assumptions and (dis)advantages and (2) highlight important methodological considerations with the application of this methodology. Theoretical allometry originated in an empirical, and later debated, observation by Kleiber of a scaling exponent of 0.75 between basal metabolic rate and body mass of mammals. The mathematical framework of West, Brown, and Enquist provides one possible explanation for this value. To date, multiple key assumptions of this framework have been disputed or disproven, and an increasing body of evidence is emerging against the existence of one universal allometric exponent. The promise of ease and universality of use that comes with theoretical approaches may be the reason they are so strongly sought after and defended. However, ecologists have suggested that the theory should move from a 'Newtonian approach', in which physical explanations are sought for a universal law and variability is of minor importance, to a 'Darwinian approach', in which variability is considered of primary importance for which evolutionary explanations can be found. No scientific support was found for the application of allometry for within-species scaling, so the application of basal metabolic rate-based scaling principles to clearance scaling remains unsubstantiated. Recent insights from physiologically based modelling approaches emphasise the interplay between drugs with different properties and physiological variables that underlie drug clearance, which drives the variability in the allometric scaling exponent in the field of pharmacology. To deal with this variability, drug-specific or patient-specific adaptations to theoretical allometric scaling are proposed, that introduce empiric elements and reduce the universality of the theory. The use of allometric scaling with an exponent of 0.75 may hold empirical merit for paediatric populations, except for the youngest individuals (aged ≤ 5 years). Nevertheless, biological interpretations and extrapolation potential attributed to models based on 0.75 allometric scaling are theoretically unfounded, and merits of the empirical application of this function should, as for all models, always be supported by appropriate model validation procedures. In this respect, it is not the value of the allometric exponent but the description and prediction of individual clearance values and drug concentrations that are of primary interest.

Physiological and Yield Responses of Indian Mustard (Brassica juncea) to Terminal Heat Stress

In present investigation we studied the influence of terminal heat stress on several agronomic, physiological and yield-related variables in 10 mustard genotypes; Advance-414, Anmol, Bond, Coral-432, JKMS 8532, MRR-8030, NMS-2018, Rajshree, RH-30 and Sonalika. The experiment conducted under control condition (Sown in October) and heat stressed environment (Sown in November) to assess the role of ambient and high temperatures, respectively. Different characteristics including relative water content (RWC), water saturation deficit (WSD), relative dry weight (RDW), membrane stability index (MSI), days to flowering, plant height and yield attributes were analysed in respect to heat stress. The results demonstrated strong relationship between genotype and treatment in responses to heat stress. In terms of RWC, RH-30 maintained high value in both normal (95.17 ± 0.991%) and late sown (72.78 ± 1.022%) circumstances, but Coral-432 showed sensitivity to stress conditions with reduction in relative water content ranging from 80.91±0.085% in control environment to 51.30±0.988% in late sown condition. Heat stress significantly raised water saturation deficit in all genotypes, with RH-30 retaining lower WSD (4.83 ± 0.083%; control and 27.22±0.595% heat stress) than Coral-432 (19.08 ± 0.467% control and 48.70 ± 0.179% heat stress) whereas membrane stability index ranged from 5.03 ± 0.033% to18.03 ± 0.176%. Yield attributes such as seed yield per plant, test weight drastically reduced under heat stress whereas, genotype RH-30 showed resistance to stress and highest in seed yield (14.22 ± 0.215 g) and 1000-seed weight (test weight; 4.35 ± 0.066 g) under stress. Plant height and number of branches also showed similar reduction in respect to heat stress. Overall, genotypes RH-30 and Rajshree found superior to stress tolerance in all tested parameters and further used in the breeding programme to develop the heat resilience cultivar in mustard.

Effect of a dietary nutraceutical "STRUCTURE-Joint" on response of horses to intra-articular challenge with IL-1: implications for tissue adaptation to stress.

The purpose was to determine local (articular) and systemic effects of intra-articular interleukin-1 in horses supplemented with a dietary PUFA supplement [STRUCTURE-Joint (ST-J)]. Sixteen (16) healthy, mature, light breed horses were randomly assigned to diets containing 0 or 120 mL (n = 8 per group) of ST-J for 30 d. On days 0 (prior to beginning supplementation) and 27, recombinant equine interleukin-1β (reIL-1 β) (75 ng) was injected into the left or right intercarpal joint to induce mild, transient synovitis. Synovial fluid was obtained by aseptic arthrocentesis at postinjection hour 0 (immediately prior to IL-1 injection), 6, 12, and 72. ST-J supplementation for 30 d significantly increased synovial fluid nitric oxide, and resolvin D1 compared with the unsupplemented control group and significantly increased PGE2 levels and reduced joint circumference in the ST-J treated horses on day 30 compared to the same group of horses on day 0. There was also a significant increase in plasma hemoglobin, free and total bilirubin, and decrease in plasma glucose. These data provide evidence for the usefulness of ST-J to modulate physiological variables with importance in exercise performance and tissue adaptation to exercise stress and further research on this product is warranted.

Predictors of mortality for blunt trauma patients in intensive care: A retrospective cohort study

Background Major trauma places substantial demand on critical care services, is a leading cause of death in under 40-year-olds and causes significant morbidity and mortality across all age groups. Various factors influence patient outcome and predefining these could allow prognostication. The aim of this study was to identify predictors of mortality from major trauma in intensive care. Methods This was a retrospective study of adult trauma patients admitted to general intensive care between January 2018 and December 2019. We assessed the impact on mortality of patient demographics, patterns of injury, injury scores (Glasgow Coma Score (GCS), Charlson’s comorbidity index (CCI), Acute Physiology and Health Evaluation II (APACHE II), Injury Severity Score (ISS) and Probability of Survival Score (Ps19)), number of surgeries and mechanism of injury using logistic regression. Results A total of 414 patients were included with a median age of 54 years (IQR 34–72). Overall mortality was 18.6%. The most common mechanism of injury was traffic collision (46%). Non-survivors were older, had higher ISS scores with lower GCS on admission and lower probability of survival scores. Factors independently predictive of mortality were age 70-80 (OR 3.267, p = 0.029), age &gt;80 (OR 27.043, p &lt; 0.001) and GCS &lt; 15 (OR 8.728, p &lt; 0.001). Ps19 was the best predictor of mortality (p &lt;0.001 for each score category), with an AUROC of 0.90. Conclusions The significant mortality predictors were age, fall from &lt;2 metres, injury of head or limbs, GCS &lt;15 and Ps19. Contrary to previous studies, CCI and APACHE II did not significantly predict mortality. Although Ps19 was found to be the best current prognostic score, trauma prognostication would benefit from a single validated scoring system incorporating both physiological variables and injury patterns.

The interaction of mind and body in the experience of emotion

This study examines the complex interplay between the mind and the body in the phenomena of emotion experience. It investigates whether emotions arise from the mind's interpretation of physiological sensations or if the mind generates them prior to their manifestation in the body. The present work employs a literature review methodology to integrate historical theories, contemporary research, and studies from the fields of neuroscience and neurology. These results underscore the fact that cognitive processes interact dynamically with physiological variables, therefore highlighting the intricate feedback loop in the relationship between the mind and body. This comprehensive viewpoint has significant ramifications for the fields of clinical psychology and artificial intelligence, augmenting our comprehension of emotion control and promoting emotional reactions from AI systems that resemble those of humans.

Current Technological Advances in Mucoadhesive Buccal Drug Delivery Systems and Their Therapeutic Applications

Buccal drug delivery has emerged as a promising route of administration, offering distinct advantages over conventional oral delivery systems. The unique physiological characteristics of the buccal mucosa, including rich vascularity and relatively high permeability, make it an attractive site for both local and systemic drug administration. Bioadhesive formulations have revolutionized buccal drug delivery by ensuring prolonged contact with the mucosal surface, thereby enhancing drug absorption and bioavailability. Recent developments in polymer science have introduced novel mucoadhesive materials, including thiolated polymers, lectins, and stimuli-responsive systems, which demonstrate superior adhesion properties and controlled release characteristics. Various formulation approaches, such as films, tablets, patches, and hydrogels, have been developed to optimize drug delivery through the buccal route. These systems incorporate permeation enhancers, enzyme inhibitors, and novel drug carriers to overcome the biological barriers associated with buccal delivery. The application of nanotechnology has further advanced the field, introducing nanostructured formulations that exhibit enhanced mucoadhesion and improved drug permeation. Current research focuses on developing intelligent delivery systems that respond to physiological triggers and maintain therapeutic drug levels. Understanding the critical factors affecting bioadhesion, including polymer characteristics, environmental conditions, and physiological variables, has led to the development of more effective formulations. The integration of modern analytical techniques and quality control measures ensures the development of stable and efficient buccal delivery systems and improves patient compliance and therapeutic outcomes