Dietary Habits and Their Impact on Gastroesophageal Reflux Disease (GERD).

Introduction Gastroesophageal reflux disease (GERD) is marked by the frequent occurrence of stomach acid flowing back into the esophagus, causing symptoms such as heartburn and acid regurgitation at least once a week. When reflux leads to troublesome symptoms and esophageal damage and adversely affects quality of life, it is diagnosed as GERD. Age, gender, ethnicity, genetic predispositions, and aspects of diet and lifestyle, including factors like obesity and smoking, are associated with GERD. Methodology This cross-sectional study was conducted within the Departments of General Medicine, Surgery, and Gastroenterology at Khyber Teaching Hospital (KTH) in Peshawar, spanning from January 2024 to June 2024. Patients who visited these departments or the Outpatient Department within the specified period with GERD were included in the study. A non-probability purposive sampling technique was used. For the analysis, we utilized IBM SPSS Statistics version 21. Results This study consists of 280 participants. The mean age of the participants in this study was 44.60 years. GERD has a significant association with obesity (69.99) and lack of exercise (80%), and a negative association was found between other gastrointestinal conditions (55.71%) and smoking (64.28). Common symptoms among GERD patients were swallowing difficulty, regurgitation, heartburn, and chest pain. Conclusion Our study is the first to examine the relationship between lifestyle factors and GERD among Pakistani patients. Our findings highlight significant associations between GERD and several factors, including gender, BMI, dietary habits, and lack of exercise. Notably, cultural and regional differences appear to influence GERD prevalence and its risk factors, as demonstrated by the minimal impact of alcohol consumption in our study population.

A nonparametric mixed exponentially weighted moving average-moving average control chart with an application to gas turbines.

This study aims to develop a nonparametric mixed exponentially weighted moving average-moving average (NPEWMA-MA) sign control chart for monitoring shifts in process location, particularly when the distribution of a critical quality characteristic is either unknown or non-normal. In literature, the variance expression of the mixed exponentially weighted moving average-moving average (EWMA-MA) statistic is calculated by allowing sequential moving averages to be independent, and thus the exclusion of covariance terms results in an inaccurate variance expression. Furthermore, the effectiveness of the EWMA-MA control chart deteriorates when the distribution of a critical quality characteristic deviates from normality. The proposed NPEWMA-MA sign control chart addresses these by utilizing the corrected variance of the EWMA-MA statistic and incorporating the nonparametric sign test into the EWMA-MA charting structure. The chart integrates the moving average (MA) statistic into the exponentially weighted moving average (EWMA) statistic. The EWMA-MA charting statistic assigns more weight to recent w samples, with weights for previous observations decling exponentially. Monte Carlo simulations assess the chart's performance using various run length (RL) characteristics such as average run length (ARL), standard deviation of run length (SDRL), and median run length (MRL). Additional measures for overall performance include the average extra quadratic loss (AEQL) and relative mean index (RMI). The proposed NPEWMA-MA sign control chart demonstrates superior performance compared to existing nonparametric control charts across different symmetrical and asymmetric distributions. It efficiently detects process shifts, as validated through both a simulated study and a real-life example from a combined cycle power plant.

Coffee and stress management: How does coffee affect the stress response?

This chapter explores the complex relationship between coffee drinking and stress management, highlighting the advantages and disadvantages of this widely consumed beverage. The chapter explores the physiological, psychological, and social effects of coffee on stress response and resilience through a thorough analysis of recent studies. It highlights the negative consequences of excessive intake on cardiovascular, gastrointestinal, and mental health while also discussing how moderate coffee consumption may lower stress levels, improve coping skills, and promote relaxation. Considerations for vulnerable populations, interactions with medications and supplements, and sustainability concerns in coffee production and consumption are also addressed. By identifying missing gaps in our understanding of coffee and stress management, the chapter underscores the need for future research to elucidate underlying mechanisms and promote mindful consumption practices. Ultimately, by embracing a holistic approach that considers individual health, environmental sustainability, and social responsibility, we can harness the potential of coffee to support resilience, well-being, and sustainability for individuals and communities worldwide.

Behavioral and psychological aspects of coffee consumption.

The chapter "Behavioral and Psychological Aspects of Coffee Consumption" delves into the complex interplay between coffee drinking and cognitive functions, human behavior, and health-related effects. It starts by looking at coffee's physiological impacts, such as how it affects the body's neurotransmitter systems, metabolism, cardiovascular health, liver health, mental health, and bone health. The larger framework of behavioral and psychological variables impacting patterns of coffee drinking provides further context for these effects. The chapter explores a range of behavior change interventions designed to encourage moderate coffee use. It also covers the role that technology, customized methods, and environmental alterations might play in supporting healthier choices. The statement underscores the significance of attending to the requirements of heterogeneous populations, surmounting obstacles to behavior modification, and guaranteeing the enduring viability of intervention results. The chapter also outlines new directions in neuroscience and behavioral science research, including developments in neuroimaging methods and the application of digital health technology to the delivery of interventions. Additionally, it emphasizes how coffee use affects public health and policy, arguing in favor of evidence-based guidelines and treatments that encourage sensible coffee consumption habits and enhance population health outcomes. Ultimately, the chapter offers a thorough summary of the behavioral and psychological effects of coffee drinking, highlighting the significance of multidisciplinary studies and cooperative efforts to deepen our comprehension of this intricate phenomenon.

Coffee and amyotrophic lateral sclerosis (ALS).

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder characterized by progressive loss of motor neurons. The effective treatments for ALS remain elusive, necessitating exploration into novel preventive strategies. ALS pathogenesis is triggered by oxidative stress which results in neuroinflammation, exicitotoxicity and neuronal cell death. Nutritional mechanism for halting progression of neurodegeneration is through dietary compounds with antioxidants, anti-inflammatory or neuromodulating activity. Coffee is a widely consumed beverage made up of polyphenols, caffeine and other compounds with possible antioxidants and neuro-protective roles. It is important to say that various epidemiological studies have documented association between coffee intake and ALS. This chapter is aimed to present a comprehensive review of existing literature on coffee consumption and ALS, involving epidemiological studies, preclinical research, and its mechanism of actions in animal model of ALS. It highlights key findings regarding the potential neuroprotective properties of coffee constituents such as caffeine, polyphenols, and other bioactive compounds. Furthermore, it discusses possible pathways through which coffee may modulate ALS pathogenesis, including suppressing oxidative stress and neuroinflammation while boosting adenosine function via the adenosine receptor two on the motor neuron cells membrane in the spinal cord to enhance motor function via the corticospinal tract. Overall, this chapter underscores the significance of further research to unravel the specific mechanisms by which coffee exerts its neuroprotective effects in ALS, with the ultimate goal of identifying dietary strategies for ALS prevention and management.

Synaptic modulation by coffee compounds: Insights into neural plasticity.

The physiological structure and functioning of the brain are determined by activity-dependent processes and affected by "synapse plasticity." Because chemical transmitters target and regulate synapses, exogenous chemical stimulants and transmitters can alter their physiological functions by interacting with synaptic surface receptors or chemical modulators. Caffeine, a commonly used pharmacologic substance, can target and alter synapses. It impact various biological, chemical, and metabolic processes related to synaptic function. This chapter investigates how caffeine affects fluctuations in structure and function in the hippocampus formation and neocortical structure, regions known for their high synaptic plasticity profile. Specifically, caffeine modulates various synaptic receptors and channel activities by mobilizing intracellular calcium, inhibiting phosphodiesterase, and blocking adenosine and GABA cellular receptors. These caffeine-induced pathways and functions allow neurons to generate plastic modulations in synaptic actions such as efficient and morphological transmission. Moreover, at a network level, caffeine can stimulate neural oscillators in the cortex, resulting in repetitive signals that strengthen long-range communication between cortical areas reliant on N-methyl-d-aspartate receptors. This suggests that caffeine could facilitate the reorganization of cortical network functions through its effects on synaptic mobilization.

Unlocking influenza B: exploring molecular biology and reverse genetics for epidemic control and vaccine innovation.

Influenza is a highly contagious acute viral illness that affects the respiratory system, posing a significant global public health concern. Influenza B virus (IBV) causes annual seasonal epidemics. The exploration of molecular biology and reverse genetics of IBV is pivotal for understanding its replication, pathogenesis, and evolution. Reverse genetics empowers us to purposefully alter the viral genome, engineer precise genetic modifications, and unveil the secrets of virulence and resistance mechanisms. It helps us in quickly analyzing new virus strains by viral genome manipulation and the development of innovative influenza vaccines. Reverse genetics has been employed to create mutant or reassortant influenza viruses for evaluating their virulence, pathogenicity, host range, and transmissibility. Without this technique, these tasks would be difficult or impossible, making it crucial for preparing for epidemics and protecting public health. Here, we bring together the latest information on how we can manipulate the genes of the influenza B virus using reverse genetics methods, most importantly helper virus-independent techniques.

Coffee and brain health: An introductory overview.

Introduction to the "Impact of Coffee on Brain Health" explores the multifaceted relationship between coffee consumption and brain function. The chapter begins by highlighting coffee's global popularity and cultural significance, setting the stage for an in-depth exploration of its effects on brain health. It describes the intricate components of coffee, including caffeine, antioxidants, and polyphenols, elucidating their physiological and medicinal roles in promoting cognitive function and neuroprotection. While moderate coffee consumption offers potential benefits such as enhanced cognitive performance and mood regulation, excessive intake can pose risks such as insomnia and medication interactions. Research studies provide robust evidence supporting coffee's neuroprotective effects, while practical implications offer recommendations for optimizing consumption and minimizing risks. By embracing a personalized approach to coffee consumption and staying informed about its potential impacts, individuals can harness its benefits for brain health and overall well-being.

Ecological and human health impact assessments based on long-term monitoring of soil PAHs near a coal-fired power plant.

The combustion of coal in power plants releases significant amounts of polycyclic aromatic hydrocarbons (PAHs), which are highly toxic and carcinogenic. This study assesses the ecological and human health impacts of PAHs contamination from a coal-fired power plant over 8 years. The monitoring site selection considered the distance from the power plant and the prevailing wind direction in the investigated area. The results reveal that, during the monitoring period, PAH levels increased on average by 43%, 61%, and 37% in the zone of the prevailing wind direction, in the area proximate to the power plant, and the zone distant from it, respectively. The site, which has a radius of 4.5 km in the prevailing wind direction, exhibited the highest ecological and human health impacts. Additionally, a strong correlation was observed between environmental and human health impacts, depending on the distance from the power plant, particularly in areas with the prevailing wind direction. These insights contribute to a comprehensive understanding of the intricate dynamics linking power plant emissions, PAHs contamination, and their far-reaching consequences on the environment and human health.

Robustness and exploration between the interplay of the nonlinear co-dynamics HIV/AIDS and pneumonia model via fractional differential operators and a probabilistic approach.

In this article, we considered a nonlinear compartmental mathematical model that assesses the effect of treatment on the dynamics of HIV/AIDS and pneumonia (H/A-P) co-infection in a human population at different infection stages. Understanding the complexities of co-dynamics is now critically necessary as a consequence. The aim of this research is to construct a co-infection model of H/A-P in the context of fractional calculus operators, white noise and probability density functions, employing a rigorous biological investigation. By exhibiting that the system possesses non-negative and bounded global outcomes, it is shown that the approach is both mathematically and biologically practicable. The required conditions are derived, guaranteeing the eradication of the infection. Furthermore, adequate prerequisites are established, and the configuration is tested for the existence of an ergodic stationary distribution. For discovering the system's long-term behavior, a deterministic-probabilistic technique for modeling is designed and operated in MATLAB. By employing an extensive review, we hope that the previously mentioned approach improves and leads to mitigating the two diseases and their co-infections by examining a variety of behavioral trends, such as transitions to unpredictable procedures. In addition, the piecewise differential strategies are being outlined as having promising potential for scholars in a range of contexts because they empower them to include particular characteristics across multiple time frame phases. Such formulas can be strengthened via classical techniques, power law, exponential decay, generalized Mittag-Leffler kernels, probability density functions and random procedures. Furthermore, we get an accurate description of the probability density function encircling a quasi-equilibrium point if the effect of H/A-P minimizes the propagation of the co-dynamics. Consequently, scholars can obtain better outcomes when analyzing facts using random perturbations by implementing these strategies for challenging issues. Random perturbations in H/A-P co-infection are crucial in controlling the spread of an epidemic whenever the suggested circulation is steady and the amount of infection eliminated is closely correlated with the random perturbation level.

Analysis of energy consumption and change structure in major economic sectors of Pakistan.

Studying and analyzing energy consumption and structural changes in Pakistan's major economic sectors is crucial for developing targeted strategies to improve energy efficiency, support sustainable economic growth, and enhance energy security. The logarithmic mean Divisia index (LMDI) method is applied to find the factors' effects that change sector-wise energy consumption from 1990 to 2019. The results show that: (1) the change in mixed energy and sectorial income shows a negative influence, while energy intensity (EI) and population have an increasing trend over the study period. (2) The EI effects of the industrial, agriculture and transport sectors are continuously rising, which is lowering the income potential of each sector. (3) The cumulative values for the industrial, agricultural, and transport sectors increased by 57.3, 5.3, and 79.7 during 2019. Finally, predicted outcomes show that until 2035, the industrial, agriculture, and transport incomes would change by -0.97%, 13%, and 65% if the energy situation remained the same. Moreover, this sector effect is the most crucial contributor to increasing or decreasing energy consumption, and the EI effect plays the dominant role in boosting economic output. Renewable energy technologies and indigenous energy sources can be used to conserve energy and sectorial productivity.

Pediatric discordant lymphoma with classic Hodgkin lymphoma in cervical lymph nodes and high-grade B-cell non-Hodgkin lymphoma in bone marrow: a case report from Pakistan.

Discordant lymphoma (DL) is an uncommon condition in which two or more histologically different types of lymphomas are present at distinct anatomical sites in the same patient. Here, we report a case of a pediatric patient under 10 years old presenting with symptoms of general sickness with cervical lymphadenopathy, abdominal distension and an abdominal mass. Upon conducting investigations, classic Hodgkin lymphoma (CHL) was detected in the cervical lymph nodes, and high-grade B-cell non-Hodgkin lymphoma was detected in the bone marrow and abdominal mass. The patient was therefore diagnosed with DL. The boy was initially diagnosed with CHL but proceeded to have aggressive disease progression, due to which further workup was done. In the past, literature reports have been published for adult cases of DL, and currently, research is being conducted to formulate treatment protocols for it. However pediatric cases of DL remain widely undiscussed. Since we are dealing with a rare or widely underreported condition, we found it significant to elaborate on its clinical presentation, treatment plan, complications and prognosis.

Effect of Alvimopan on Postoperative Ileus and Length of Hospital Stay in Patients Undergoing Bowel Resection: A Systematic Review and Meta-Analysis.

AIMS: The aim is to investigate the effect of alvimopan on postoperative ileus and length of hospital stay in patients undergoing bowel resection. METHODS: The PRISMA statement standards were followed to conduct a systematic review and meta-analysis. The available literature was searched to identify all studies comparing alvimopan with no alvimopan in patients undergoing bowel resection. Postoperative ileus and length of hospital stay were the primary outcomes, and time to first bowel motion was the secondary outcome. Random-effects modeling was applied for analyses. RESULTS: Analysis of 94 833 patients from 26 studies showed that alvimopan was associated with lower risk of postoperative ileus (OR: .57, 95% CI .48 to .67, P <.00001; high GRADE certainty), shorter length of hospital stay (MD: -1.08 day, 95% CI -1.36 to -.81, P < .00001; moderate GRADE certainty), and shorter time to first bowel motion (MD: -.43 day, 95% CI -.58 to -.28, P < .00001; moderate GRADE certainty). Separate analyses of randomized controlled trials and observational studies showed similar findings. Subgroup analyses suggested consistent findings in patients undergoing elective bowel resection, emergency bowel resection, and open surgery; however, alvimopan did not improve the outcomes in patients undergoing minimally invasive surgery. CONCLUSION: Robust evidence supports the routine use of alvimopan in patients undergoing open bowel resection as indicated by lower risk of postoperative ileus and shorter length of hospital stay. We support incorporation of alvimopan into enhanced recovery after surgery programs for the procedures involving open bowel resection. The role of alvimopan in minimally invasive bowel resection needs more research.

A Comparative Study of the Graston Technique and Alfredson Protocol in the Management of Achilles Tendinopathy.

BACKGROUND AND OBJECTIVES: The Achilles tendon, the largest and strongest tendon in the human body, is frequently injured by overuse; this condition is known as Achilles tendinopathy (AT). It serves as a link between the heel bone and the calf muscles and is necessary for motions, such as walking, sprinting, and jumping. Evidence is presented to support the efficacy of the Graston technique and Alfredson protocol for pain reduction and improvement of function and calf muscle strength. The objective of this study is to compare the efficacy of the Graston technique versus the Alfredson protocol in patients with AT. Methods and data collection: After obtaining approval from the ethical review board of the Rawalpindi Medical University, all patients fulfilling the inclusion criteria are divided into two groups, A and B, by generating random identity numbers using Microsoft Excel for allocation. Group A comprises patients who undergo treatment with the Graston technique as conventional therapy with Alfredson protocol (12-week calf muscle eccentric exercises), while those in group B follow a Graston technique with sole heel lift. Individuals in the eccentric exercises group follow an Alfredson method-based 12-week eccentric exercise plan for their leg muscles. The workouts need to be done twice a day, seven days a week for 12 weeks. The plan includes two exercises: the first done with the knee straightened to work the gastrocnemius and the second done with the knee bent to work the soleus. Three sets of 15 repetitions with no rest interval for each exercise are completed twice a day on the affected limb to yield functional improvement. RESULTS: The results showed that both the Alfredson protocol and the Graston technique were effective in managing AT symptoms. The study involved dividing 32 participants into two groups who received either treatment for four weeks. The main way to measure improvement was a score called the Villalta-Scanlon Achilles Tendonitis Index score. In both groups, these scores showed significant improvement (with a p-value less than 0.001, which means that the results are very statistically significant). For Group A (who received the Alfredson protocol), the average Villalta-Scanlon Achilles Tendonitis Index score before treatment was 29.25. This score increased to 31.25 at mid-treatment and 34.38 after the full four weeks of treatment. Group B (who received the Graston technique) started with an average Villalta-Scanlon Achilles Tendonitis Index score of 22.94. Their scores also increased throughout the treatment, reaching 34.94 at mid-treatment and 42.88 after four weeks. These findings provide evidence that both treatments can improve AT symptoms, with some suggestions that the Graston technique might be even more effective based on the higher average Villalta-Scanlon Achilles Tendonitis Index scores after treatment. CONCLUSIONS: The Graston technique shows promising results, particularly in the mid- and post-treatment phases, indicating its potential efficacy in comparison to the Alfredson protocol in the treatment of AT.

Ultra-Wide Band Radar Empowered Driver Drowsiness Detection with Convolutional Spatial Feature Engineering and Artificial Intelligence.

Driving while drowsy poses significant risks, including reduced cognitive function and the potential for accidents, which can lead to severe consequences such as trauma, economic losses, injuries, or death. The use of artificial intelligence can enable effective detection of driver drowsiness, helping to prevent accidents and enhance driver performance. This research aims to address the crucial need for real-time and accurate drowsiness detection to mitigate the impact of fatigue-related accidents. Leveraging ultra-wideband radar data collected over five minutes, the dataset was segmented into one-minute chunks and transformed into grayscale images. Spatial features are retrieved from the images using a two-dimensional Convolutional Neural Network. Following that, these features were used to train and test multiple machine learning classifiers. The ensemble classifier RF-XGB-SVM, which combines Random Forest, XGBoost, and Support Vector Machine using a hard voting criterion, performed admirably with an accuracy of 96.6%. Additionally, the proposed approach was validated with a robust k-fold score of 97% and a standard deviation of 0.018, demonstrating significant results. The dataset is augmented using Generative Adversarial Networks, resulting in improved accuracies for all models. Among them, the RF-XGB-SVM model outperformed the rest with an accuracy score of 99.58%.

Efficacy and mechanism of Jasminum sambac gel for musculoskeletal injuries.

OBJECTIVE: Formulate a gel and test its scientific efficacy for treating musculoskeletal ailments with or without phonophoresis. METHODS: Gel was made from Jasminum sambac leaf extract (30:70 aqueous-methanolic). A pragmatic, community-based, double-blinded randomized clinical study (IRCT20230202057310N1) was undertaken on 380 pre-diagnosed individuals with 1st and 2nd-grade musculoskeletal injuries, divided into four parallel groups (n = 95 per group): Group I got phonophoresis-applied J. sambac 10% gel. Group II got phonophoresis-applied diclofenac diethylammonium 2% gel. J. sambac 10% gel was superficially massaged onto Group III. Group IV received a superficial massage with diclofenac diethylammonium 2% gel. Color, stability, pH, spreadability, beginning of pain relief, discomfort, stiffness, and activities of daily living were recorded using the Numeric Pain Rating Scale (NPRS) and Western Ontario and McMaster Universities Arthritis Index (WOMAC) Scale. Methods included phytochemical analysis, molecular docking, and antioxidant quantification using 2,2-diphenylpicrylhydrazyl (DPPH), nitric oxide (NO), and superoxide dismutase (SOD) tests. RESULTS: J. sambac gel worked better than diclofenac gel in phonophoresis and massage, with regard to NPRS P<0.001, WOMAC pain P<0.001, WOMAC stiffness P<0.003, and WOMAC activities of daily living (ADLs) P<0.001. There were also significant differences in pain, stiffness, and ADLs. J. sambac showed significant (P<0.005-0.001) results. CONCLUSION: J. sambac gel relieved pain and inflammation in musculoskeletal injury patients. J. sambac gel is natural, cheap, and easy to make. Better drug absorption may explain the effectiveness of phonophoresis.

Cu-nanoparticles enhance the sustainable growth and yield of drought-subjected wheat through physiological progress.

Drought stress (DS) is a significant abiotic stress that limits agricultural productivity worldwide. In semi-arid climates, one potential solution to alleviate the deleterious effects of drought is the use of soil amendments such as nanoparticles. The current research was conducted out to probe the sway of drought at critical growth stages (CGS) of wheat crop (D0: Control, D1: Drought at tillering stage, and D2: Drought at anthesis stage) and the application of Cu-nanoparticles (T0: 0 mg L-1, T1: 300 mg L-1, T2: 700 mg L-1, and T3: 950 mg L-1) in order to improve drought resilience. Results of the study revealed that DS considerably decreased the wheat growth and yield during CGS. However, Cu-nanoparticles application alleviated the detrimental backlash of DS and led to improvements in various aspects of wheat growth and yield, including plant height, spike length, 1000 grain weight, stomatal conductance, leaf chlorophyll content, water use efficiency, leaf turgor potential, relative water content, and ultimately the grain yield. The use of principal component analysis allowed us to integrate and interpret the diverse findings of our study, elucidating the impact of Cu-nanoparticle treatment on wheat growth and yield under drought. Overall, the study concluded that DS during the anthesis stage had the most significant negative impact on crop yield. However, applying Cu-nanoparticles at the rate of 300 mg L-1 proved to be an effective strategy for improving crop productivity by reducing the harmful effects of drought.

Stimuli-responsive glucuronoxylan polysaccharide from quince seeds for biomedical, food packaging, and environmental applications.

Mucilage is a gelatinous mixture of polysaccharides secreted from the seed coat and/or pericarp of many plant seeds when soaked in water. Mucilage affected seed germination while maintaining hydration levels during scarcity. Cydonia oblonga (quince) seeds are natural hydrocolloids extruding biocompatible mucilage mainly composed of polysaccharides. Quince seed mucilage (QSM) has fascinated researchers due to its applications in the food and pharmaceutical industries. On a commercial scale, QSM preserved the sensory and physiochemical properties of various products such as yogurt, desserts, cakes, and burgers. QSM is responsive to salts, pH, and solvents and is mainly investigated as edible coatings in the food industry. In tablet formulations, modified and unmodified QSM as a binder sustained the release of various drugs such as cefixime, capecitabine, diclofenac sodium, theophylline, levosulpiride, diphenhydramine, metoprolol tartrate, and acyclovir sodium. QSM acted as a reducing and capping agent to prepare nanoparticles for good antimicrobial resistance, photocatalytic characteristics, and wound-healing potential. The present review discussed the extraction optimization, chemical composition, stimuli-responsiveness, and viscoelastic properties of mucilage. The potential of mucilage in edible films, tissue engineering, and water purification will also be discussed.

Large cells suppress the reproduction of Varroa destructor.

BACKGROUND: The parasitic mite, Varroa destructor has posed a threat to the health and survival of European honey bees, Apis mellifera worldwide. There is a prevailing belief that small comb cells could provide a management tool against Varroa mites. However, the hypothesis that smaller cells can impede Varroa reproduction has not been fully tested. Here, we tested this hypothesis under laboratory conditions by using two distinct Varroa in vitro rearing systems: one involved gelatin capsules of different sizes, specifically size 00 (0.95 mL) versus size 1 (0.48 mL), and the second consisted of brood comb cells drawn on 3D printed foundations with varying cell sizes, ranging from 5.0 mm to 7.0 mm at 0.5 mm intervals. RESULTS: The results showed that mother mites in size 00 cells had significantly lower fecundity and fertility compared to those in size 1 cells. Interestingly, the reproductive suppression in larger cells could be reversed by adding an extra worker larva. Similarly, gonopore size of mother mites was smaller in size 00 cells, but restored with another host larva. Furthermore, both the fecundity and fertility of mother mites decreased linearly with the size of brood comb cells. CONCLUSIONS: Our results suggest that the reproduction of V. destructor is hindered by larger cells, possibly because larger brood cells disperse or weaken host volatile chemical cues that are crucial for Varroa reproduction. The insights derived from this study are expected to hold significant implications for the implementation of Varroa management programs. © 2024 Society of Chemical Industry.