Metabolic Rate Research Articles

An improved dynamic metabolic model for application to biota

Any major nuclear facility must ensure the conservation of biodiversity regarding radiation protection of biota. A special concern is for tritium (3H) and radiocarbon (14C) transfer in wild mammals, birds and reptiles. Hydrogen and carbon are the main components of biological tissues and enter the life cycle. The present study improves the scientific bases of a previous model, analyses the uncertainty of input parameters and tests the model for a larger range of mammals and birds. The biological and metabolic half-times for organically bound tritium (OBT) and 14C are linked with energy metabolism and recent results are revised in relation with metabolic scaling. A large data base regarding basal metabolic rate (BMR), field metabolic rate (FMR), and organ mass is used for input information of the present model, which considers brain as a separate compartment. Metabolic energy partition in organs of active animal is defined and the factors affecting the metabolic rate are analysed. Body and ambient temperature, diet and habitat, and phylogeny are important factors considered in animal adaptation to environment. The available experimental data for carbon turnover rates in animals are analysed and it is observed that the experimental conditions are not appropriate for wild animals. The link between 13,14C and 134,137Cs turnover rate is analysed and the present metabolic approach is successfully tested for mammals and reptiles. Considering animal adaptation and the large data base for 134,137Cs, the radiological impact of accidental releases of 3H and 14C on biota can be pursued in the future research.

Antifatigue effect of okara protein hydrolysate supplementation during cycling exercise in men: a pre-post uncontrolled pilot study.

Prolonged exercise usually leads to exercise fatigue, which has a negative short-term impact on exercise performance and metabolic rate; thus, fatigue needs to be resolved. Okara is a protein-rich residue of soy processing. Enzyme hydrolysis is known to increase the content of branched-chain amino acids (BCAAs), which have been reported to confer benefits for exercise. The purpose of this study was to investigate the antifatigue effect of okara protein hydrolysate (OPH) on cycling exercise. A total of 16 male participants who habitually exercised (2 times or more per week and without participation in athletic contests) were instructed to receive 11.74 g of OPH once a day. They then completed two intense cycling exercise challenges before and after four weeks of supplementation. Exercise time and blood markers related to fatigue and energy metabolism were measured. The results showed that the time to exhaustion significantly increased after the treatment. The levels of lactate during exercise and at the end of exercise were significantly lower after treatment than before. Additionally, postexercise insulin sensitivity was increased after treatment. This study showed that OPH supplementation can promote endurance in exercise by decreasing the accumulation of fatigue-related metabolites during exercise and can promote energy recovery by increasing insulin function. These findings suggest that OPH has an antifatigue property.

Field Experiment on Transient Thermal Comfort in a Chinese Railway Station – High Temperature Exposures

Thermal alliesthesia describes the phenomenon where the perception of a given environmental thermal stimulus can be either pleasant or unpleasant, depending on the individual's internal thermal state relative to homeostasis. Quantifying the thermal alliesthesia effect in human thermal perception of periodic transient metabolic rates and thermal environmental exposures can potentially enhance the thermal experience of temporarily occupied built environments, such as a railway station. A field experiment was conducted in a railway station in southern China during hot and humid summer months. Sixteen college-age participants were recruited to undergo simulations of entering the railway station after having been exposed to various intensities of heat, and then sitting quietly in the station waiting hall. Thermal environmental parameters, thermal physiological parameters, and subjective perceptions of participants were registered throughout each field experiment. The results indicate that the effect of prior heat exposures on skin temperatures and subjective perceptions were extinguished within 10 minutes after participants entered the station. Step-changes from low-to-high intensity activity induced a more immediate and pronounced change in metabolic heat production, compared to the reverse scenario. A transient thermal perception model is proposed with the input parameters including the environmental temperature and metabolic rate transients, inter alia. The algorithm in the model indicates that thermal alliesthesia induced by temperature step-change within transition spaces could be negligible, whereas metabolic transients exert a more decisive influence. The study provides insight into the alliesthesia experienced in transitional spaces and guidance for designs and operations of HVAC systems.

Construction of a minute ventilation model to address inter-individual inhaled dose variability within identical exposure scenarios using wearable devices

Inhaled dose is crucial for accurately assessing exposure to air pollution, determined by pollutant concentration and minute ventilation (VE). However, the VE predictive models and its application to assess the health effects of air pollution are still lacking. In this study, we developed VE predictive models using machine learning techniques, utilizing data obtained from eighty participants who underwent a laboratory cardiopulmonary exercise test (CPET). VE predictive models were developed using generalized additive model (GAM), random forest model (RF) and extreme gradient boosting (XGBoost) and analyzed for explanation of input variables. The Random Forest model, cross-validated, exhibited outstanding performance with an R2 of 0.986 and a MAE of 1.816 L/min. The median difference between the measured VE and the predicted VE was 0.18 L/min, and the median difference between the black carbon (BC) inhaled dose based on predicted VE and measured VE was 0.02 ng. Employing explainable machine learning, the results showed that metabolic equivalent (METs), heart rate, and body weight are the three top important variables, emphasizing the significance of incorporating METs variables when constructing VE models. Through multiple linear regression models and an adjusted stratified analysis model, the significant adverse association between BC concentration and inhaled dose on diastolic blood pressure (DBP) was only observed in female. The disparity in the effect of BC inhaled dose compared to BC concentration on DBP reached up to 115 %. This study is the first to explore the ability of different machine learning algorithms to construct VE prediction models and directly apply the models to assess health effects of an example pollutant. This study contributes to the accurate assessment of air pollution exposure leveraging wearable devices, an approach useful for environmental epidemiology studies.

Agreement between fat-free mass from bioelectrical impedance analysis and dual-energy X-ray absorptiometry and their use in estimating resting metabolic rate in resistance-trained men.

This study aimed to determine the agreement between fat-free mass (FFM) estimates from bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) and their use in estimating resting metabolic rate (RMR) in men undergoing resistance training. Thirty healthy resistance-trained men (22.7 ± 4.4 years, 70.0 ± 8.7 kg, 174.6 ± 6.7 cm, and 22.9 ± 2.3 kg/m2) were evaluated. The equation developed by Tinsley et al. (RMR = 25.9 × fat-free mass [FFM] + 284) was adopted to calculate the RMR. DXA was used as the reference method for FFM. Furthermore, FFM was also estimated by BIA using a spectral device. No significant difference (p > 0.05) was observed between DXA (1884.2 ± 145.5 kcal) and BIA (1849.4 ± 167.7 kcal) to estimate RMR. A positive and significant correlation (r = 0.89, p < 0.05) was observed between DXA and BIA estimates of RMR. The mean difference between methods indicated that BIA presented a bias of -34.8 kcal. These findings suggest that using FFM derived from DXA or BIA results in similar RMR estimates in resistance-trained men.

Neural and metabolic factors in carbohydrate reward: Rationale, design, and methods for a flavor-nutrient learning paradigm in humans

Overconsumption of ultra-processed foods (UPFs), which are linked with adverse health outcomes, is a growing public health concern. UPFs deliver highly bioavailable calories rapidly, which may contribute to their reinforcing potential and drive overconsumption. Our primary aim is to test the role of speed of nutrient availability on reward learning. We hypothesize that brain activity in reward related areas and behavioral preferences will be greater to a flavored drink predicting rapidly available calories (CS + Fast) compared with a flavored drink predicting more slowly available (CS + Slow) or no (CS-) calories. Participants (n = 64, aged 18–45 years, will consume 3 novel flavored, isosweet beverages containing 110 cal of sucrose (CS + Fast), 110 cal of maltodextrin (CS + Slow), or 0-cal sucralose (CS-) 6 times in randomized, crossover order. Blood metabolites and indirect calorimetry measures, including metabolic rate and carbohydrate oxidation, will be assessed before and for 1 h after beverage consumption. Behavioral preference for beverages will be assessed in a pre- and post-test. Brain response to each flavor without calories will be assessed via functional magnetic resonance imaging in a post-test. Findings from this study will contribute to the understanding of basic mechanisms that may drive overconsumption of UPFs.Trial registration:clinicaltrials.gov registration #NCT06053294

Metabolic scaling, energy allocation tradeoffs, and the evolution of humans’ unique metabolism

All organisms use limited energy to grow, survive, and reproduce, necessitating energy allocation tradeoffs, but there is debate over how selection impacted metabolic budgets and tradeoffs in primates, including humans. Here, we develop a method to compare metabolic rates as quotients of observed relative to expected values for mammals corrected for size, body composition, environmental temperature, and phylogenetic relatedness. Contrary to previous analyses, these quotients reveal that nonhuman primates have total metabolic rates expected for similar-sized mammals in similar environments. In addition, data from several small-scale societies show that humans evolved exceptionally high resting, activity, and total metabolic rates apparently by overcoming tradeoffs between resting and active energy expenditures that constrain other primates. Enhanced metabolic rates help humans fuel expanded brains, faster reproductive rates, extended longevity, and high percentage of body fat.

High energetic cost of color change in octopuses

For many animals, color change is a critical adaptive mechanism believed to carry a substantial energetic cost. Yet, no study to date has directly measured the energy expenditure associated with this process. We examined the metabolic cost of color change in octopuses by measuring oxygen consumption in samples of excised octopus skin during periods of chromatophore expansion and contraction and then modeled metabolic demand over the whole octopus as a function of octopus mass. The metabolic demand of the fully activated chromatophore system is nearly as great as an octopus’s resting metabolic rate. This high metabolic cost carries ecological and evolutionary implications, including selective pressures in octopuses that may influence the adoption of nocturnal lifestyles, the use of dens, the reduction of the chromatophore system in deep-sea species, and metabolic trade-offs associated with foraging.

Exploring the impact of mitochondrial-targeting anthelmintic agents with GLUT1 inhibitor BAY-876 on breast cancer cell metabolism.

Cancer cells alter their metabolic phenotypes with nutritional change. Single agent approaches targeting mitochondrial metabolism in cancer have failed due to either dose limiting off target toxicities, or lack of significant efficacy in vivo. To mitigate these clinical challenges, we investigated the potential utility of repurposing FDA approved mitochondrial targeting anthelmintic agents, niclosamide, IMD-0354 and pyrvinium pamoate, to be combined with GLUT1 inhibitor BAY-876 to enhance the inhibitory capacity of the major metabolic phenotypes exhibited by tumors. To test this, we used breast cancer cell lines MDA-MB-231 and 4T1 which exhibit differing basal metabolic rates of glycolysis and mitochondrial respiration, respectively. Metabolic characterization was carried out using Seahorse XFe96 Bioanalyzer and statistical analysis was carried out via ANOVA. Here, we found that specific responses to mitochondrial and glycolysis targeting agents elicit responses that correlate with tested cell lines basal metabolic rates and fuel preference, highlighting the potential to cater metabolism targeting treatment regimens based on specific tumor nutrient handling. Inhibition of GLUT1 with BAY-876 potently inhibited glycolysis in both MDA-MB-231 and 4T1 cells, and niclosamide and pyrvinium pamoate perturbed mitochondrial respiration that resulted in potent compensatory glycolysis in the cell lines tested. In this regard, combination of BAY-876 with both mitochondrial targeting agents resulted in inhibition of compensatory glycolysis and subsequent metabolic crisis. These studies highlight targeting tumor metabolism as a combination treatment regimen that can be tailored by basal and compensatory metabolic phenotypes.

A Computational Pipeline for Identifying Gene Regulatory Networks: A Case Study of Response to Exercise.

Gene regulatory networks are foundational in the control of virtually all biological processes. These networks orchestrate a myriad of cell functions ranging from metabolic rate to the response to a drug or other intervention. The data required to accurately identify these control networks remains very cost and labor intensive typically leading to relatively sparse time course data that is largely incompatible with conventional data-driven model identification techniques. In this work, we combine empirical identification of gene-gene interactions with constraints describing the expected dynamic behavior of the network to infer regulatory dynamics from under-sampled data. We apply this to the identification of gene regulatory subnetworks recruited in groups of subjects participating in several different exercise interventions. Intervention-specific response networks are compared to one another and control actions driving differences are identified. We propose that this approach can extract statistically robust and biologically meaningful insights into gene regulatory dynamics from a dataset consisting of a small number of participants with very limited longitudinal sampling, for example pre- and post- intervention only.

The protective role of basal metabolic rate in cognitive decline: evidence from epidemiological and genetic studies.

This study aims to explore the relationship between basal metabolic rate (BMR) and cognitive impairment and assess the potential of BMR as a protective factor against cognitive decline. This investigation initially conducted a cross-sectional study of American adults from 2011 to 2014 using data from the National Health and Nutrition Examination Survey. It examined the correlation between participants' BMR and cognitive functions, exploring the association with cognitive impairment. Subsequently, publicly available genome-wide association study data was used to examine potential causal links between genetically determined BMR and specific cognitive disorders using Mendelian randomization. Cross-sectional findings revealed a significant positive correlation between higher BMR and cognitive scores. In Mendelian randomization analysis, BMR demonstrated an inverse causal relationship with Alzheimer's disease and Parkinson's dementia, suggesting BMR as a potential protective factor against these diseases. No causal links were found with vascular dementia, Lewy body dementia, and frontotemporal dementia. This study supports the role of BMR as a potential protective factor against Alzheimer's disease and Parkinson's dementia, suggesting that BMR may play an important role in preventing cognitive decline. However, due to the limitations of cross-sectional studies, further prospective studies and broader demographic samples are necessary to verify these results and explore underlying biological mechanisms. Key messages What is already known on this topic: Existing knowledge suggests a close relationship between BMR and health and cognitive functions, but detailed studies on its connection with specific cognitive impairments are still needed. What this study adds: This study found a significant positive correlation between higher BMR and cognitive improvement, potentially aiding in the prevention of Alzheimer's and Parkinson's dementia. How this study might affect research, practice, or policy: This finding guides public health strategies and personalized medicine, emphasizing the necessity for further research to validate BMR's protective effects.

ChIP-seq and structural analyses delineating the regulatory mechanism of master regulator EsrB in Edwardsiella piscicida.

As a crucial virulence regulator, EsrB possesses a LuxR-like superfamily domain at the C-terminal, which is conserved within the canonical NarL family regulators. Due to its critically important role in virulence and pathogenicity in fish hosts, the DNA binding ability has been believed to allow EsrB to regulate genes associated with the invasion process of host cells and basal metabolism in response to environmental stimuli. The lack of EsrB's crystal structure has been a major obstacle in understanding the molecular mechanisms of EsrB-DNA interaction which choreographs EsrB-mediated pathogenic behavior. Here, we conducted ChIP-seq and solved the crystal structure of the C-terminal of EsrB (EsrBC) at 2.20-Å resolution, which revealed that EsrB preferred to bind to virulence-associated promoters with a distinct 7'-4-7' pseudopalindromic DNA motif and interacted with metabolic-related promoters with a high AT DNA motif in Dulbecco's Modified Eagle's Medium (DMEM) (mimicking in vivo environments). Our results facilitate a detailed understanding of EsrB's regulatory role in Edwardsiella piscicida pathogenesis and expand our knowledge of virulence regulators in the family Hafniaceae.

Measuring energy expenditure in narcolepsy using doubly-labelled water and respiration chamber calorimetry.

Hypocretin deficiency causes type 1 narcolepsy, a condition characterised by excessive daytime sleepiness, cataplexy, and fragmented nocturnal sleep. Two-thirds of people with narcolepsy are also overweight, of which half are obese. The pathophysiology behind weight gain in people with narcolepsy remains unknown. We assessed a possible decrease in energy expenditure as a cause for overweight in narcolepsy using respiration chamber calorimetry and doubly labelled water. Ten males with type I narcolepsy and nine matched (for age, sex, and BMI) healthy controls were enrolled. Subjects stayed in a respiration chamber for 24 hours. They subsequently received doubly labelled water and wore an accelerometer for two weeks to assess energy expenditure and physical activity under daily living conditions. Total daily energy expenditure, resting energy expenditure, overnight metabolic rate, physical activity level and activity-induced energy expenditure were measured. No significant differences were found in resting energy expenditure, mean 24-hour respiration chamber energy expenditure, overnight metabolic rate and activity-induced energy expenditure when comparing people with narcolepsy type 1 to controls. Physical activity was also comparable between groups. Energy expenditure in narcolepsy type 1 is similar to matched controls, suggesting comparable metabolism and physical activity rates. It remains possible that metabolic changes are most pronounced around disease onset. In addition, patients had to discontinue their medication which may have influenced the results. Still, our findings suggest that other factors may also play a role in weight gain in narcolepsy, such as differences in dietary behaviour.

Electrocardiographic parameters of chemically immobilized giant anteaters (Myrmecophaga tridactyla).

The giant anteater (Myrmecophaga tridactyla) is a vulnerable species that is threatened mostly due to anthropogenic pressure. The anteater is a highly specialized insectivore, challenging the species' ex situ maintenance and conservation efforts. Several dietary-associated health issues have been reported in captive anteaters, including heart conditions such as dilated cardiomyopathy. On the other hand, cardiopathy is mainly diagnosed only on necropsy, and lack of clinical reference is one of the constraints. This work describes electrocardiographic parameters in twelve zoo-kept giant anteaters (Myrmecophaga tridactyla). The giant anteaters were evaluated after chemical immobilization. Surface electrocardiography using a digital electrocardiograph was performed to acquire data on the six frontal plane leads. Four animals were placed in both left and right recumbencies to assess changes in waveforms. Nine anteaters were considered healthy and included in the statistics. The mean heart rate and electrical axis were 37.8bpm ± 3.45 and 75.6º ± 11.43, respectively. ECG parameters results were P wave duration (ms) 89.7 ± 9.2, P wave amplitude (mV) 0.14 ± 0.05, PR segment duration (ms) 148.6 ± 23, R wave amplitude (mV) 1.55 ± 0.56, QRS complex duration (ms) 88.6 ± 12.0, QT interval duration (ms) 529.6 ± 71.2, and T wave amplitude (mV) 0.76 ± 0.21. There was no difference between left or right recumbency. Heart parameters of giant anteaters are similar to other mammals and seem to be influenced both by size and metabolic rate when comparing with other species. This is the first description of ECG parameters in giant anteaters.

Cerebral vascular shunting and oxygen metabolism in sickle cell disease.

Patients with sickle cell disease (SCD) are at elevated risk of silent cerebral infarcts and strokes; however, they frequently lack established stroke risk factors (e.g., macrovascular arterial steno-occlusion) and as such the mechanisms underlying such events are incompletely characterized. This study evaluated cerebral metabolism with respect to imaging markers of vascular shunting in 143 SCD participants, including 73 pediatric (6-17 years) and 70 adult (18-40 years) participants. Participants completed clinical and cerebral imaging assessments using 3-Tesla brain MRI to quantify cerebral hemo-metabolic measures. Vascular shunting was assessed in each patient using a previously published ordinal venous hyperintensity score (VHS=0, 1, or 2) on cerebral blood flow-weighted MRI. Relationships between age group (pediatric versus adults) and hemo-metabolic measures for varying VHS were investigated using two-way ANOVA. Participants with VHS=2, indicative of the most rapid arterio-venous transit, had significantly reduced blood oxygen content (CaO2=10.90±1.69 ml O2/100ml blood), oxygen extraction fraction (OEF=33.52±5.54%), and cerebral metabolic rate of oxygen consumption (CMRO2=2.91±0.69 ml O2/100g tissue/min) compared to their counterparts with VHS=0 (CaO2=12.42±1.58 ml O2/100ml blood; OEF=39.03±3.80%; CMRO2=3.77±0.84 ml O2/100g tissue/min) or VHS=1 (CaO2=11.86±1.73 ml O2/100ml blood; OEF=36.37±5.11%; CMRO2=3.59±0.78 ml O2/100g tissue/min). Both pediatric and adult SCD patients presenting with greater imaging evidence of vascular shunting had mildly reduced OEF and CMRO2. These findings highlight that imaging markers of vascular shunting are associated with significant, albeit mild, evidence of reduced OEF and CMRO2 in patients with SCD.

Farmakogenomika w leczeniu zaburzeń psychicznych.

Pharmacogenomics lies at the intersection of pharmacology and genomics. It analyzes the impact of genetic variants on patient’s response to a specific drug. Pharmacogenomic tests involve the analysis of variants of genes responsible for drug metabolism, to determine the rate of drug metabolism and apply this information to clinical practice. Pharmacogenomics assists in selecting the appropriate drug and adjusting its dose to minimize side effects while maximizing the effectiveness of a drug, which accelerates the introduction of effective therapy. The prospects for its application in psychiatry are promising, although the creation of uniform recommendations is difficult due to the complexity of mental disorders and the influence of other factors, such as interactions between medications. Therefore, recommendations created by different institutions differ significantly. The aim of this article is to discuss the current possibilities of using pharmacogenomics in psychiatry and the difficulties of introducing it as a standard of psychiatric treatment.

Reduced brain oxygen response to spreading depolarization predicts worse outcome in ischaemic stroke.

Spreading depolarization (SD) describes a propagating neuronal mass depolarization within the cerebral cortex that represents a mediator of infarct development and strongly stimulates the metabolic rate of O2 consumption. Here, we investigated the influence of Spreading Depolarization (SD) on brain tissue partial pressure of O2 (ptiO2) within the peri-infarct tissue of patients suffering malignant hemispheric stroke (MHS). This prospective observational trial included 25 patients with MHS that underwent decompressive hemicraniectomy followed by subdural placement of electrodes for electrocorticography (ECoG) and neighboring implantation of a ptiO2 probe within the peri-infarcted cortex. Continuous side-by-side ECoG + ptiO2 recordings were obtained for 3-6 days postoperatively and analyzed for the occurrence of SD-independent and SD-coupled ptiO2 changes, radiological findings, as well as their association with clinical outcome at 6 months. During the combined ECoG + ptiO2 monitoring period of 2,604 hours and among 1,022 SDs, 483 (47%) SD-coupled ptiO2 variations were identified as biphasic (59%), hypoxic (36%) or hyperoxic (5%) ptiO2 responses that differed significantly (*p<0.0001). Among the remaining 538/1,022 (53%) SDs, no SD-coupled ptiO2 response was detected, which we categorized as 'No response'. The overall infarct progression was 1.7% (IQR -2.5-10.9). Spreading Depolarization characteristics regarding type, duration and frequency, as well as SD-independent baseline ptiO2 had no association with outcome. In contrast, a high occurrence rate and amplitude of SD-coupled variations in ptiO2 were associated with improved outcome at 6 months (occurrence: r=-0.62, *p=0.035; amplitude: r=-0.57, *p=0.024; Spearman correlation). In conclusion, an absent or reduced ptiO2 response to SD could indicate tissue-at-risk and help direct targeted treatment strategies in ischemic stroke, which is further evidence that not all SDs are the same, but that tissue responses coupled to SD such as ptiO2 contain prognostic information. In particular, a lack of SD-coupled ptiO2 variations appears to be a predictor of worse outcome in large hemispheric stroke.

EGFR Evalutation among the Hypothyroid Patients Attending at a Tertiary Center of Chattogram

Background: Hypothyroidism is a prevalent endocrine illness that affects people all over the world. The modulation of renal hemodynamics and basal metabolic rate is disrupted in hypothyroidism. The kidney is generally involved in thyroid hormone metabolism, breakdown and excretion. Chronic renal hypoperfusion affects the hypothalamic pituitary-thyroid axis, resulting in low circulating thyroid hormone levels, changed peripheral hormone metabolism, decreased tissue thyroid hormone content and altered thyroid iodine storage. Recent research has linked an increased risk of hypothyroidism to a decreased estimated Glomerular Filtration Rate (eGFR). The purpose of the study is to determine the association between eGFR with hypothyroidism in a tertiary care hospital of Chattogram. Materials and methods: A cross-sectional study was done during July 2022 to June 2023 including 100 diagnosed hypothyroidism cases attending in Chittagong Medical College Hospital. Serum Thyroid Stimulating Hormone (TSH) serum free thyroxine (FT4) serum creatinine, and blood urea were measured. The estimated glomerular filtration rate (eGFR) were determined. The result were analysed using SPSS version 25. Results: The mean age was 42.76±10.18 years with 93% female. Most of the patients (92%) were in a subclinical hypothyroid state and 8% were in an overt hypothyroid state. The mean ±SD serum creatinine levels and urea levels were 0.8±0.2mg/dl and 25.4±6.5 mg/dl, respectively. The mean eGFR was 75.36±7.54 ml/min/1.73 m2. There was a significant decrease in mean eGFR in the &lt; 60 ml/min/1.73m2 group among the study population. There was a significant association between decreased eGFR and hypothyroidism. Serum TSH had significantly shown a negative correlation with eGFR. Serum TSH level had a significant positive correlation with serum creatinine (r=0.56, p&lt;0.05) and serum urea (r=0.25, p&lt;0.05). There was a significant eGFR difference between subclinical hypothyroidism and overt hypothyroidism. Conclusion: It can be concluded from this study that the hypothyroidism was significantly correlated with decreased eGFR. IAHS Medical Journal Vol 7(1), June 2024; 86-90

Global hotspots and trends in tea anti-obesity research: a bibliometric analysis from 2004 to 2024

BackgroundThe prevalence of obesity and its related ailments is on the rise, posing a substantial challenge to public health. Tea, widely enjoyed for its flavors, has shown notable potential in mitigating obesity. Yet, there remains a lack of exhaustive bibliometric studies in this domain.MethodsWe retrieved and analyzed multidimensional data concerning tea and obesity studies from January 2004 to June 2024, using the Web of Science Core Collection database. This bibliometric investigation utilized tools such as Bibliometrix, CiteSpace, and VOSviewer to gather and analyze data concerning geographical distribution, leading institutions, prolific authors, impactful journals, citation patterns, and prevalent keywords.ResultsThere has been a significant surge in publications relevant to this field within the last two decades. Notably, China, Hunan Agricultural University, and the journal Food and Function have emerged as leading contributors in terms of country, institution, and publication medium, respectively. Zhonghua Liu of Hunan Agricultural University has the distinction of most publications, whereas Joshua D. Lambert of The State University of New Jersey is the most cited author. Analyses of co-citations and frequently used keywords have identified critical focus areas within tea anti-obesity research. Current studies are primarily aimed at understanding the roles of tea components in regulating gut microbiota, boosting fat oxidation, and increasing metabolic rate. The research trajectory has progressed from preliminary mechanism studies and clinical trials to more sophisticated investigations into the mechanisms, particularly focusing on tea’s regulatory effects on gut microbiota.ConclusionThis study offers an intricate overview of the prevailing conditions, principal focus areas, and developmental trends in the research of tea’s role against obesity. It delivers a comprehensive summary and discourse on the recent progress in this field, emphasizing the study’s core findings and pivotal insights. Highlighting tea’s efficacy in obesity prevention and treatment, this study also points out the critical need for continued research in this area.

Influence of pharmacotherapy on function of biotransformation of xenobiotics liver in patients with neuropsychiatric disorders

BACKGROUND: The mechanisms of drug interactions of psychotropic drugs are associated with the processes of drug biotransformation by enzymes of microsomal oxidation of cytochrome P-450 in the liver. Various drugs can increase or decrease the activity of enzymes of the cytochrome P450-dependent system. AIM: To evaluate the effect of pharmacotherapy with psychotropic drugs: alprazolam, bromazepam, lithium carbonate on the metabolic rate of the model substrate antipyrine in saliva in patients with neuropsychiatric disorders; the effect of the enzyme-inducing activity of the original anticonvulsant 1-[(3-chlorophenyl)(phenyl)methyl]urea on the pharmacokinetic parameters of antipyrine in healthy volunteers. MATERIALS AND METHODS: 34 male patients were divided into three groups according to the nosological forms of diseases according to ICD-10: Group 1 — heading F43.23 and F43.25; 2 — F06.61; 3 — F41.2. Patients in the group 1 were prescribed alprazolam, in the 2 — bromazepam, in the 3 — lithium carbonate, for a course of 21 days. The comparison group consisted of 10 healthy volunteers. The original anticonvulsant was prescribed to the volunteers. Determination of the pharmacokinetics of antipyrine parameters as a test witness of the processes of elimination from the body was carried out in saliva before and after the end of therapy at a dose of 10 mg/kg once. RESULTS: Alprazolam administration by patients of group 1 at a dose of 0.5–1.5 mg/day for 21 days did not significantly affect the pharmacokinetic parameters of antipyrine: T1/2, Clt, AUC. Alprazolam did not change the elimination of antipyrine from the saliva of patients. In patients of the group2, who received bromazepam at a dose of 6–12 mg / day,a background decrease in T1/2, an increase in Clt, a decrease in AUC due to concomitant therapy were noted. Comparison of the pharmacokinetic parameters of antipyrine under the influence of bromazepam with background values not reveal significant differences. Therapy with lithium carbonate at a dose of 500–1000 mg/day in patients of the group 3 did not change the parameters of antipyrine elimination. The obtained data indicate that the drugs do not affect the activity of liver microsomal oxidation in patients. The study of the effect of 1-[(3-chlorophenyl)(phenyl)methyl]urea on the pharmacokinetic parameters of antipyrine in volunteers revealed a diametrically opposite result: a significant decrease in T1/2 by 2 times, an increase in Clt and a decrease in AUC, which indicates accelerated elimination of antipyrine from the saliva of the subjects and indicates the induction of liver microsomal oxidation. CONCLUSIONS: Pharmacotherapy using the studied psychotropic drugs in patients is not associated with the induction or inhibition of liver enzymes, which indicates the absence of drug pharmacokinetic interference. The original anticonvulsant 1-[(3-chlorophenyl)(phenyl)methyl]urea stimulated the induction of liver microsomal oxidation in volunteers.