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Production of a Biodegradable Polymeric High Strength Material, Based on Xanthan Gum and Potato Starch, Modified by the Joint Addition of Plasticizers
Kirill Nickolaevich Kornilov
Posted: 19 May 2026
Oxygen Tolerance Domestication of Blautia sp. AUH-JLD56 Enables Efficient Aerobic Bioconversion of Arctigenin to 3'-Demethylarctigenin
Wenya You
,Mingyue Liu
,Hongkuan Ji
,Zixuan Zhao
,Hao Li
,Xiuling Wang
Posted: 19 May 2026
Sex-Specific Associations of SNVs rs324981 NPSR1 and rs10914456 HCRTR1 with Eating Disorders in Pakistani Adults: A Case-Control Study
Pasha Ghazal
,Kishwar Amin
Disordered eating in young adults is shaped by sociocultural pressures and may be modulated by genetic variation. We examined sex differences in eating-pathology, psychosocial correlates, at two candidate loci Hypocretin and Neuropeptide S (HCRTR1 rs10914456; NPSR1 rs324981). A total of 550 individuals visiting various nutrition clinics were initially approached for participation in the study. Of these, 460 consented to take part ,after exclusions, 360 completed SCOFF; 200 scoring >2 proceeded to EAT-26 and comprised the analytic sample (100 males, 100 females). Psychosocial factors (media influence, academic pressure, peer pressure, isolation/loneliness, and K-pop self-comparison) were assessed by a structured questionnaire. EAT-26 total and subscales were compared by sex (t-tests). Genotypes were contrasted by sex using χ² tests; allele frequencies were derived from genotype counts and ORs with CI were computed. Females showed higher EAT-26 total scores than males (29.7±1.9 vs 23.2±1.3; t(198)=2.82, p<0.005); 68% of females and 76% of males scored ≥20. Anorexia subscale scores were greater in females (t(198)=3.713, p<0.0003), as well as binge-eating scores (t(198)=1.722, p<0.05); bulimia indices did not differ by sex (p>0.05). Body dissatisfaction was common (87%) without sex difference (p>0.05).Significant sex associations were observed for media influence (χ²=67.94, p<0.05), academic pressure (χ²=45.6, p<0.0001), K-pop self-comparison (χ²=112.12, p<0.0001), peer pressure (χ²=46.37, p<0.05),and isolation/loneliness (χ²=28.72, p<0.0001).Genotyping data revealed marked sex-dependent associations at both loci. For HCRTR1 rs10914456, female cases showed a significantly higher frequency of the risk (TT) genotype, conferring 4.86-fold greater odds of carrying T-allele relative to males (OR = 4.86, 95% CI: 1.46–16.17, p = 0.001). In contrast, for NPSR1 rs324981, males exhibited a pronounced T-allele–driven risk pattern, being T-carriers (AT+TT) relative to females (OR = 4.11, 95% CI 1.23–13.68, p = 0.022).Within females specifically, the AA genotype was significantly overrepresented compared with T-carrying genotypes (AA vs AT+TT: OR = 3.25, 95% CI: 1.59–6.66, p = 0.0013).Collectively, these results highlight a female-specific recessive risk pattern at HCRTR1 and a male-specific dominant T-allele effect at NPSR1, underscoring robust sex-differentiated genetic susceptibility to disordered eating. Overall females exhibited severe eating-pathology and heightened psychosocial sensitivity than males, while genetic risk showed locus-specific sex patterns. Integrating psychosocial screening with genetic profiling may lead to early intervention.
Disordered eating in young adults is shaped by sociocultural pressures and may be modulated by genetic variation. We examined sex differences in eating-pathology, psychosocial correlates, at two candidate loci Hypocretin and Neuropeptide S (HCRTR1 rs10914456; NPSR1 rs324981). A total of 550 individuals visiting various nutrition clinics were initially approached for participation in the study. Of these, 460 consented to take part ,after exclusions, 360 completed SCOFF; 200 scoring >2 proceeded to EAT-26 and comprised the analytic sample (100 males, 100 females). Psychosocial factors (media influence, academic pressure, peer pressure, isolation/loneliness, and K-pop self-comparison) were assessed by a structured questionnaire. EAT-26 total and subscales were compared by sex (t-tests). Genotypes were contrasted by sex using χ² tests; allele frequencies were derived from genotype counts and ORs with CI were computed. Females showed higher EAT-26 total scores than males (29.7±1.9 vs 23.2±1.3; t(198)=2.82, p<0.005); 68% of females and 76% of males scored ≥20. Anorexia subscale scores were greater in females (t(198)=3.713, p<0.0003), as well as binge-eating scores (t(198)=1.722, p<0.05); bulimia indices did not differ by sex (p>0.05). Body dissatisfaction was common (87%) without sex difference (p>0.05).Significant sex associations were observed for media influence (χ²=67.94, p<0.05), academic pressure (χ²=45.6, p<0.0001), K-pop self-comparison (χ²=112.12, p<0.0001), peer pressure (χ²=46.37, p<0.05),and isolation/loneliness (χ²=28.72, p<0.0001).Genotyping data revealed marked sex-dependent associations at both loci. For HCRTR1 rs10914456, female cases showed a significantly higher frequency of the risk (TT) genotype, conferring 4.86-fold greater odds of carrying T-allele relative to males (OR = 4.86, 95% CI: 1.46–16.17, p = 0.001). In contrast, for NPSR1 rs324981, males exhibited a pronounced T-allele–driven risk pattern, being T-carriers (AT+TT) relative to females (OR = 4.11, 95% CI 1.23–13.68, p = 0.022).Within females specifically, the AA genotype was significantly overrepresented compared with T-carrying genotypes (AA vs AT+TT: OR = 3.25, 95% CI: 1.59–6.66, p = 0.0013).Collectively, these results highlight a female-specific recessive risk pattern at HCRTR1 and a male-specific dominant T-allele effect at NPSR1, underscoring robust sex-differentiated genetic susceptibility to disordered eating. Overall females exhibited severe eating-pathology and heightened psychosocial sensitivity than males, while genetic risk showed locus-specific sex patterns. Integrating psychosocial screening with genetic profiling may lead to early intervention.
Posted: 19 May 2026
Routine-to-Research-to-Innovation (R2R) Framework for Translational Microbiology: Linking Probiotics, Microbial Metabolites, Natural Products, and Thai Patent Mapping
Monthon Lertcanawanichakul
,Tuanhawanti Sahabuddeen
Posted: 19 May 2026
Gestational Week 20 as the Biomechanical Inflection Point of Retroperitoneal Fascial Lamination: A Mechanobiological Model Integrating Geometric Scaling and Evolutionary Front-Loading
Hiromu Tokuchi
Posted: 19 May 2026
Intermolecular Interaction–Driven Adaptive Remodeling: A Network Perspective on Plant Abiotic Stress Responses
Leidi Liu
,Xiangfei Cheng
,Yihua Xu
,Lu Liu
,Shuai Zhong
,Xiaohua Chao
,Yumin Chen
,Chengde Yu
,Chengming Fan
,Changsong Zou
Posted: 19 May 2026
SARS-CoV-2 Surveillance in Free-Ranging Wildlife in the Northeastern United States, 2022–2025
Idrissa Nonmon Sanogo
,Wendy B. Puryear
,Alexa F. Simulynas
,Elena Cox
,Maureen Murray
,Zain Khalil
,Harm van Bakel
,Martin J. R. Feehan
,Zak Mertz
,Priya Patel
+3 authors
Posted: 19 May 2026
Post-Transcriptional Regulation of FGF Signaling: Insights from Musculoskeletal System
Laurène Alicia Lecaudey
,Zeinab Ghasemishahrestani
,Vahid Saqagandomabadi
,Jørgen Wesche
,Ehsan Pashay Ahi
Posted: 19 May 2026
DNA/Cell Mass Homeostasis: Coordinating Cell Size and DNA Replication During Bacterial Growth
John Herrick
Posted: 19 May 2026
Accuracy of Genomic Prediction for Meat Quality Traits Using Cow Reference Populations in Hanwoo Cattle
Mohammad Zahangir Alam
,Shin Dae-Hyun
,You-Sam Kim
,Myung-Hum Park
,Yun-Mi Lee
,Jong-Joo Kim
Posted: 19 May 2026
Metabolomic Changes in the Rat Eye Lens During the Cataract Onset
Olga A. Snytnikova
,Anton A. Smolentsev
,Nataliya G. Kolosova
,Anzhella Zh. Fursova
,Yuri P. Tsentalovich
Posted: 19 May 2026
Separating CD44-Mediated Monocyte Rolling from Dominant VLA-4 Adhesion
Marcus Hubbe
,Robert H. Eibl
Leukocyte recruitment from blood into tissues involves sequential adhesive steps, including rolling and integrin-dependent arrest. The integrin VLA-4 is known to mediate firm adhesion, but can also support rolling. CD44–hyaluronan interactions have also been implicated in leukocyte rolling. Here, we used parallel-plate flow chamber assays to compare the contributions of CD44 and VLA-4 to monocyte rolling on different cellular monolayers. Monocytoid WEHI 78/24 cells rolled and adhered through CD44 on hyaluronan-presenting ECV304 monolayers, whereas VLA-4 dominated adhesion on endothelial monolayers expressing functional VCAM-1. Primary human monocytes showed similar CD44-dependent rolling on ECV304 monolayers. Blocking CD44, adding soluble hyaluronan, or removing surface hyaluronan with hyaluronidase reduced rolling and adhesion. These results show that CD44 can support monocyte rolling when VLA-4/VCAM-1 adhesion is not the dominant interaction. This cell-based flow model distinguishes CD44/hyaluronan-mediated rolling from VLA-4/VCAM-1-rolling and may help analyze monocyte rolling on hyaluronan, including tumor-derived monolayers.
Leukocyte recruitment from blood into tissues involves sequential adhesive steps, including rolling and integrin-dependent arrest. The integrin VLA-4 is known to mediate firm adhesion, but can also support rolling. CD44–hyaluronan interactions have also been implicated in leukocyte rolling. Here, we used parallel-plate flow chamber assays to compare the contributions of CD44 and VLA-4 to monocyte rolling on different cellular monolayers. Monocytoid WEHI 78/24 cells rolled and adhered through CD44 on hyaluronan-presenting ECV304 monolayers, whereas VLA-4 dominated adhesion on endothelial monolayers expressing functional VCAM-1. Primary human monocytes showed similar CD44-dependent rolling on ECV304 monolayers. Blocking CD44, adding soluble hyaluronan, or removing surface hyaluronan with hyaluronidase reduced rolling and adhesion. These results show that CD44 can support monocyte rolling when VLA-4/VCAM-1 adhesion is not the dominant interaction. This cell-based flow model distinguishes CD44/hyaluronan-mediated rolling from VLA-4/VCAM-1-rolling and may help analyze monocyte rolling on hyaluronan, including tumor-derived monolayers.
Posted: 19 May 2026
Mathematical Sequence Analyses of Cystic Fibrosis Transmembrane Conductance Regulator (CFTR): Cross-Species Skeletal Frameworks in Cystic Fibrosis
Sk. Sarif Hassan
,Kharerin Hungyo
,Vladimir N. Uversky
Posted: 19 May 2026
Comparative Genomic Analysis of Two Bat Poxviruses in the Genus Vespertilionpoxvirus
Chi Zhang
,Kyle Heye
,Davide Lelli
,Loubna Tazi
,Stefan Rothenburg
Posted: 18 May 2026
Roles of Metabolites Unveiled by Metabolomics in Rapeseeds
Yunong Xia
,Silin Su
,Xianyu Tang
,Lei Qin
,Junxing Lu
,Shitou Xia
Posted: 18 May 2026
Transcriptomic Profiling and Functional Validation Reveal MYC2-PSK3 Mediating Salt-Alkali Tolerance in Alfalfa (Medicago sativa L.)
Ran Yu
,Yaohui Zhang
,Dongmei Liu
,Defeng Li
,Xiaoyan Zhu
,Yinghua Shi
,Chengzhang Wang
,Haidong Yan
,Yalei Cui
,Hao Sun
Posted: 18 May 2026
Nanoribbon-Assisted Detection of Ribonucleic Acids Associated with Cancers in Humans
Yuri D. Ivanov
,Ivan D. Shumov
,Vadim S. Ziborov
,Alexander A. Ableev
,Andrey F. Kozlov
,Vladimir P. Popov
,Alexander Y. Dolgoborodov
,Oleg F. Petrov
,Oleg B. Kovalev
,Dmitry V. Enikeev
+4 authors
Posted: 18 May 2026
Reproductive Aging, FSH, APO Lipoproteins, and Alzheimer’s Disease: Endocrine Mechanisms Linking Reproductive Aging to Neurodegeneration
Yasin Ali Muhammad
Posted: 18 May 2026
Acoustic Signatures of Hive: Detecting Queen Bee Absence Through Machine Learning of Short Audio Segments
Pablo Ormeño-Arriagada
,Cristopher Jiménez
,Ramón Arias Gilart
,Daniel Ramírez
,Karen Yañez
Posted: 18 May 2026
Genomic Landscape and Pathogenicity Islands of Corynebacterium pseudotuberculosis Biovar Ovis: Insights from Seventeen Complete Mexican Genomes
Mabel Gethsemani Jaimes-Gonzalez
,Roberto Montes-de-Oca-Jimenez
,Martha Elba Ruiz-Riva-Palacio
,Jorge Pablo Acosta-Dibarrat
,Pilar Eliana Rivadeneiro-Barreiro
,Pablo Cleomenes Zambrano-Rodríguez
,Gabriel Arteaga-Troncoso
,Dan Israel Zavala-Vargas
,Siomar de Castro Soares
,Victor Augusto Sallum-Ceballos
+2 authors
Posted: 18 May 2026
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