Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis DOI Creative Commons
Zhendong Sha, Philip J. Freda, Priyanka Bhandary

et al.

BioData Mining, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 28, 2024

Epistasis, the phenomenon where effect of one gene (or variant) is masked or modified by more other genes, significantly contributes to phenotypic variance complex traits. Traditionally, epistasis has been modeled using Cartesian epistatic model, a multiplicative approach based on standard statistical regression. However, recent study investigating in obesity-related traits identified potential limitations revealing that it likely only detects fraction genetic interactions occurring natural systems. In contrast, exclusive-or (XOR) model shown promise detecting broader range and biologically relevant functions associated with interacting variants. To investigate whether XOR also forms distinct network structures compared we applied science examine underlying body mass index (BMI) rats (Rattus norvegicus). Our comparative analysis models reveals topological characteristics. The exhibits enhanced sensitivity between communities found network, facilitating identification novel trait-related biological via community-based enrichment analysis. Additionally, features triangle motifs, indicative higher-order interactions. This research evaluates impact linkage disequilibrium (LD)-based edge pruning network-based analysis, finding LD-based may lead increased fragmentation, which hinder effectiveness for investigation epistasis. We confirmed through permutation most networks derived from data display structural properties randomly shuffled networks. Collectively, these findings highlight model's ability uncover meaningful associations lower-order topologies. introduction motif-based discovery emphasize as critical advancing understanding architectures.

Language: Английский

Dietary texture-driven masticatory activity and its impact on stress tolerance DOI

Mie Kamate,

Hitoshi Teranishi, Ryohei Umeda

et al.

Journal of Oral Biosciences, Journal Year: 2025, Volume and Issue: unknown, P. 100628 - 100628

Published: Feb. 1, 2025

Language: Английский

Citations

0
Functional Insights Into the Effect of Feralisation on the Gut Microbiota of Cats Worldwide DOI Creative Commons
Ostaizka Aizpurua, Amanda Bolt Botnen, Raphael Eisenhofer

et al.

Molecular Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

ABSTRACT Successfully adapting to a feral lifestyle with different access food, shelter and other resources requires rapid physiological behavioural changes, which could potentially be facilitated by gut microbiota plasticity. To investigate whether alterations in support this transition lifestyle, we analysed the microbiomes of domestic cats from six geographically diverse locations using genome‐resolved metagenomics. By reconstructing 229 non‐redundant metagenome‐assembled genomes 92 cats, identified typical carnivore microbiome structure, notable diversity taxonomic differences across regions. While overall metrics did not differ significantly between hierarchical modelling species communities, accounting for geographic sex covariates, revealed larger microbial functional capacities among cats. The increased capacity amino acid lipid degradation corresponds cats' dietary reliance on crude protein fat. A second analysis, phenotype as main predictor, unveiled positive association production short‐chain fatty acids, neurotransmitters vitamins cat aggressiveness, suggesting that microbes might contribute heightened aggression elusiveness observed Functional shifts may therefore play significant role development traits advantageous hypothesis warrants validation through manipulation experiments.

Language: Английский

Citations

0
Reversing the impact of an obesogenic diet on emotion regulation and brain metabolism: a rat model study DOI Creative Commons
Saúl Sal-Sarria, Isabel López-Taboada, Héctor González‐Pardo

et al.

Brain Research Bulletin, Journal Year: 2025, Volume and Issue: 224, P. 111300 - 111300

Published: March 12, 2025

The global rise in obesity and poor dietary habits, particularly the consumption of high-fat, high-sucrose (HFS) diets, is a growing public health concern. These especially when consumed during critical developmental periods, such as gestation early life, are linked to long-term consequences on both physical mental health. Early exposure obesogenic diets has been shown disrupts brain function increases risk anxiety, depression, additional emotional disorders. However, it suggested that changes life may reverse these effects. This study investigated whether switching from an HFS diet standard (SD) after weaning could abnormal responses (o anxiety- depression-like behavior) energy metabolic capacity rats. Male female Wistar rats were divided into three groups: one continuous SD, until adulthood, shifted SD weaning. Emotional behavior was assessed using saccharin preference test, forced swimming elevated zero maze test. Brain metabolism evaluated by measuring cytochrome c oxidase (CCO) activity key regions involved emotion regulation, nucleus accumbens, ventral pallidum, dorsal striatum, bed stria terminalis. Adult animals exposed exhibited increased depression anxiety-like behaviors, CCO activity. Notably, sex differences observed, with males showing more pronounced although sexes improved switching. findings suggest interventions can mitigate diet-induced disturbances, thereby underscoring importance nutrition periods.

Language: Английский

Citations

0
The Legalome: Nutritional Psychology and Microbiome Sciences at the Intersection of Criminal Justice, Mens Rea, and Mitigation DOI
Susan L. Prescott, Alan C. Logan

Criminal Justice and Behavior, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

Recent studies have linked ultra-processed foods with neuropsychiatric disorders, and behaviors of relevance to the criminal justice system. This nutritional epidemiology has been bolstered by mechanistic bench science, human intervention trials, addiction advances in microbiome research. Here, we examine this burgeoning research through lens diminished capacity intent. We use recent legal decisions related auto-brewery syndrome as a way illustrate how intersecting diet gut science is already finding its courtrooms. The legalome—microbiome omics applied forensic psychology—is emerging an important consideration for experts within field behavior. It our contention that are merely prelude ways which combination microbiology psychology will challenge basic assumptions free mens rea.

Language: Английский

Citations

3
Impact of a High-Fat Diet on the Gut Microbiome: A Comprehensive Study of Microbial and Metabolite Shifts During Obesity DOI Creative Commons
Md Abdullah Al Mamun, Ahmed Rakib, Mousumi Mandal

et al.

Cells, Journal Year: 2025, Volume and Issue: 14(6), P. 463 - 463

Published: March 20, 2025

Over the last few decades, prevalence of metabolic diseases such as obesity, diabetes, non-alcoholic fatty liver disease, hypertension, and hyperuricemia has surged, primarily due to high-fat diet (HFD). The pathologies these show disease-specific alterations in composition function their gut microbiome. How HFD alters microbiome its metabolite mediate adipose tissue (AT) inflammation obesity is not well known. Thus, this study aimed identify changes metabolomic signatures induced by an alter obesity. To explore microbiota metabolites, 16S rRNA gene amplicon sequencing analyses were performed after normal (ND) feeding. We noticed that, at taxonomic levels, number operational units (OTUs), along with Chao Shannon indexes, significantly shifted HFD-fed mice compared those fed a ND. Similarly, phylum level, increase Firmicutes decrease Bacteroidetes mice. At genus Lactobacillus Ruminococcus was observed, while Allobaculum, Clostridium, Akkermansia markedly reduced group. Many bacteria from impair bile acid metabolism restrict weight loss. are efficient breaking down complex carbohydrates into short-chain acids (SCFAs) other whereas involved more balanced or energy extraction. over enhances absorption calories food, which may contribute Taken together, altered metabolites trigger AT inflammation, contributes dysregulation disease progression. highlights potential development therapeutic strategies for related disorders.

Language: Английский

Citations

0
Effects of Different Fat-Carbohydrate Dietary Compositions and Probiotic Correction on the Severity of Myocardial Ischemia-Reperfusion Injury and Behavioral Responses in Rats with Systemic Inflammation DOI
Yu. Yu. Borshchev,

I. G. Zubkov,

S. M. Minasyan

et al.

Journal of Evolutionary Biochemistry and Physiology, Journal Year: 2025, Volume and Issue: 61(2), P. 643 - 655

Published: March 1, 2025

Language: Английский

Citations

0
The Intersection of Ultra-Processed Foods, Neuropsychiatric Disorders, and Neurolaw: Implications for Criminal Justice DOI Creative Commons
Susan L. Prescott, Kathleen F. Holton, Christopher A. Lowry

et al.

NeuroSci, Journal Year: 2024, Volume and Issue: 5(3), P. 354 - 377

Published: Sept. 23, 2024

Over the last decade there has been increasing interest in links between consumption of ultra-processed foods and various neuropsychiatric disorders, aggression, antisocial behavior. Neurolaw is an interdisciplinary field that seeks to translate rapid voluminous advances brain science into legal decisions policy. An enhanced understanding biophysiological mechanisms by which influence behavior allows for a historical reexamination one forensic neuropsychiatry's most famous cases-

Language: Английский

Citations

2
Constant light and high fat diet alter daily patterns of activity, feed intake and fecal corticosterone levels in pregnant and lactating female ICR mice DOI Creative Commons
Leriana Garcia Reis, Kelsey Teeple, Jenna Schoonmaker

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(11), P. e0312419 - e0312419

Published: Nov. 20, 2024

The prevalence of constant light exposure and high-fat diet in modern society raises concerns regarding their impact on maternal offspring health outcomes. In rodents, to or continuous negatively program metabolic stress response outcomes offspring. A 2x3 factorial study was conducted investigate the (control–CON, 10% fat, high fat–HF, 60% fat) different lighting conditions: regular 12-hour light-dark cycles (LD), dim (L5), bright (L100) female ICR mice daily patterns time out nest, feed intake, fecal corticosterone levels during gestation lactation. Our previous analysis these found HF decreased number pups born, but increased litter growth rate postnatal (PN) d12. Whereas length tended increase PN growth. Here we report that grams an indicator feeding activity, were affected by light, diet, period day (day versus night) physiological state (gestation lactation), with significant interactions among all variables (P<0.05). treatment output (P<0.05) Dams exhibited 12 h 24 rhythms activity nest first 48 postnatal, outside greater second period. L100 attenuated shifted phase relative LD CON, respectively Alterations behavior affect physiology, including level timing release corticosteroids. Elevated due may have potential implications maternal-offspring health, potentially underlie some adverse effects lifestyle factors health.

Language: Английский

Citations

1
The Gut Microbiota Is Involved in the Regulation of Cognitive Flexibility in Adolescent BALB/c Mice Exposed to Chronic Physical Stress and a High-Fat Diet DOI Creative Commons
C. González, José Antonio Estrada, Rigoberto Oros‐Pantoja

et al.

Microorganisms, Journal Year: 2024, Volume and Issue: 12(12), P. 2542 - 2542

Published: Dec. 10, 2024

Dysfunction in the prefrontal cortex can lead to cognitive inflexibility due multifactorial causes as included cardiometabolic disorders, stress, inadequate diets, well an imbalance of gut-brain axis microbiota. However, these risk factors have not been evaluated jointly. The purpose this study was evaluate effect physical stress (MS: Male Stress and FS: Female Stress) high-fat diet (MD: Diet FD: Diet) supplementation on gut microbiota flexibility. performed 47 mice, 30 male (M) 17 female (F) BALBc, exposed chronic (S) (D). Cognitive flexibility using Attentional Set-Shifting Test (ASST) composition terms relative abundance (%) alpha-beta diversity. Results showed that S D reduced mice ( Chronic a modify predictive function

Language: Английский

Citations

0
Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis DOI Creative Commons
Zhendong Sha, Philip J. Freda, Priyanka Bhandary

et al.

BioData Mining, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 28, 2024

Epistasis, the phenomenon where effect of one gene (or variant) is masked or modified by more other genes, significantly contributes to phenotypic variance complex traits. Traditionally, epistasis has been modeled using Cartesian epistatic model, a multiplicative approach based on standard statistical regression. However, recent study investigating in obesity-related traits identified potential limitations revealing that it likely only detects fraction genetic interactions occurring natural systems. In contrast, exclusive-or (XOR) model shown promise detecting broader range and biologically relevant functions associated with interacting variants. To investigate whether XOR also forms distinct network structures compared we applied science examine underlying body mass index (BMI) rats (Rattus norvegicus). Our comparative analysis models reveals topological characteristics. The exhibits enhanced sensitivity between communities found network, facilitating identification novel trait-related biological via community-based enrichment analysis. Additionally, features triangle motifs, indicative higher-order interactions. This research evaluates impact linkage disequilibrium (LD)-based edge pruning network-based analysis, finding LD-based may lead increased fragmentation, which hinder effectiveness for investigation epistasis. We confirmed through permutation most networks derived from data display structural properties randomly shuffled networks. Collectively, these findings highlight model's ability uncover meaningful associations lower-order topologies. introduction motif-based discovery emphasize as critical advancing understanding architectures.

Language: Английский

Citations

0