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15 pages, 1774 KB  
Article
Epigenome-Wide Association Studies of Proteasome Inhibitor-Related Cardiotoxicity in Patients with Multiple Myeloma
by Raed Awadh Alshammari, Samuel M. Rubinstein, Eric Farber-Eger, Lauren Lee Shaffer, Marwa Tantawy, Mohammed E. Alomar, Quinn S. Wells, Daniel Lenihan, Robert F. Cornell, Kenneth H. Shain, Rachid C. Baz and Yan Gong
Cancers 2026, 18(3), 505; https://doi.org/10.3390/cancers18030505 - 3 Feb 2026
Abstract
Background/Objectives: Carfilzomib (CFZ) and bortezomib (BTZ) are proteasome inhibitors used as the first-line therapy for relapsed or refractory multiple myeloma (MM) but are associated with cardiovascular adverse events (CVAEs). This study aims to identify differentially methylated positions (DMPs) and regions (DMRs), and [...] Read more.
Background/Objectives: Carfilzomib (CFZ) and bortezomib (BTZ) are proteasome inhibitors used as the first-line therapy for relapsed or refractory multiple myeloma (MM) but are associated with cardiovascular adverse events (CVAEs). This study aims to identify differentially methylated positions (DMPs) and regions (DMRs), and enriched pathways associated with CVAEs related to CFZ or BTZ-based treatment. Methods: Baseline germline DNA methylation profiles from 79 MM patients (49 on CFZ and 30 on BTZ) in the Prospective Study of Cardiac Events During Proteasome Inhibitor Therapy (PROTECT) were analyzed. Epigenome-wide analyses were performed within each group, followed by meta-analyses to identify signals common to CVAEs associated with both medicines. Results: Four DMPs were significantly associated with CFZ-CVAEs, including cg15144237 within ENSG00000224400 (p = 9.45 × 10−10), cg00927646 within TBX3 (p = 9.78 × 10−8), and cg10965131 within WDR86 (p = 1.00 × 10−7). One DMR was identified in the FAM166B region (p = 5.46 × 10−7). There was no evidence of any DMPs in BTZ-treated patients, however two DMPs and one DMR reached a suggestive level of significance (p < 1.00 × 10−5): cg09666417 in DNAJC18 (p = 3.41 × 10−7) and cg12987761 in USP18 (p = 5.00 × 10−7), and a DMR mapped to the WDR86/WDR86-AS1 region (p = 8.11 × 10−8). Meta-analysis did not find any significant DMPs, with the top CpG being cg17933807 in GNL2 (p = 7.38 × 10−5). Pathway enrichment analyses identified peroxisome, MAPK, Rap1, adherens junction, phospholipase D, autophagy, and aldosterone-related pathways to be implicated in CVAEs. Conclusions: Our study identified distinct DMPs, DMRs, and pathways enrichment associated with CVAE, suggesting epigenetic contributors to CVAEs and supporting the need for larger validation studies. Full article
(This article belongs to the Special Issue Adverse Effects During Cancer Treatment)
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14 pages, 1008 KB  
Article
Acute Intravenous Astaxanthin Administration Modulates Hyperexcitability in Rat Nociceptive Secondary Sensory Neurons Induced by Inflammation
by Risako Chida and Mamoru Takeda
Mar. Drugs 2026, 24(1), 49; https://doi.org/10.3390/md24010049 - 21 Jan 2026
Viewed by 261
Abstract
Previous in vivo studies have clearly demonstrated that the intravenous administration of the carotenoid astaxanthin (AST) suppresses the excitability of rat trigeminal spinal nucleus caudalis (SpVc) neurons. This action is hypothesized to be mediated through the inhibition of both voltage-gated Ca2+ (Cav) [...] Read more.
Previous in vivo studies have clearly demonstrated that the intravenous administration of the carotenoid astaxanthin (AST) suppresses the excitability of rat trigeminal spinal nucleus caudalis (SpVc) neurons. This action is hypothesized to be mediated through the inhibition of both voltage-gated Ca2+ (Cav) channels and excitatory glutamate receptor transmission. The objective of this study was to determine whether acute intravenous administration of AST alleviates the hyperexcitability of SpVc wide dynamic range (WDR) neurons in a rat model of inflammation. Neuronal responses to both nociceptive and non-nociceptive mechanical stimulation were evaluated using an in vivo electrophysiological model. One day following inflammation induced by Complete Freund’s Adjuvant (CFA), the mechanical escape threshold was significantly reduced compared to pre-injection baseline values. Subsequently, extracellular single-unit recordings were performed on SpVc WDR neurons in anesthetized, inflamed rats. The neuronal responses to both non-noxious and noxious orofacial mechanical stimuli were then analyzed. Acute intravenous administration of AST at 1 and 5 mM elicited a dose-dependent reduction in the mean firing frequency of SpVc WDR neurons in response to noxious mechanical stimuli. This inhibition peaked within 10 min and was fully reversed after approximately 25 min. Importantly, AST preferentially inhibited the discharge frequency of SpVc WDR neurons in response to noxious stimulation, exhibiting a significantly greater effect than on the response evoked by non-noxious stimulation (41.5 ± 3.0% vs. 20.7 ± 4.2%, p < 0.05). Collectively, these findings demonstrate that acute intravenous administration of AST effectively suppresses noxious synaptic transmission within the SpVc during inflammation. We propose that this suppressive effect is mediated by the inhibition of upregulated Cav channels and glutamate receptors. Consequently, AST is implicated as a promising therapeutic candidate for the management of trigeminal inflammatory pain, given its potential for a favorable safety profile compared to conventional treatments. Full article
(This article belongs to the Special Issue Marine Carotenoids: Properties, Health Benefits, and Applications)
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25 pages, 3946 KB  
Review
Advancements in Active-Pixel-Type CMOS Image Sensor Design Techniques and Architectures for Wide Dynamic Range
by Sangwoong Sim and Jaehoon Jun
Sensors 2026, 26(2), 489; https://doi.org/10.3390/s26020489 - 12 Jan 2026
Viewed by 542
Abstract
Advances in CMOS image sensors (CISs) have led to utilization in various industrial fields, including machine vision, medical, surveillance, the automotive industry, and the Internet of Things (IoT). One critical metric for CISs is the dynamic range (DR), which indicates the range of [...] Read more.
Advances in CMOS image sensors (CISs) have led to utilization in various industrial fields, including machine vision, medical, surveillance, the automotive industry, and the Internet of Things (IoT). One critical metric for CISs is the dynamic range (DR), which indicates the range of light intensity that can clearly capture images. As the technology evolves, wide dynamic range (WDR) becomes increasingly required for more diverse applications. To further advance these industries, this paper presents the active-pixel-type CIS design techniques and architectures developed to achieve WDR. These include the following: the basic concepts of the active pixel sensor, readout mechanism, and DR of the CIS; multiple exposure and dual conversion gain (DCG) schemes that are conventionally used to address a trade-off in the CIS; lateral overflow integration capacitor (LOFIC) and dual photodiode (PD) architectures that can improve the DR by utilizing trade-offs in the DR and exposure mechanism; CISs with logarithmic and linear–logarithmic (Lin-Log) responses to enable non-linear characteristics; and techniques that can be employed for higher sensitivity in dark conditions. This comprehensive study of various techniques and architectures can also be utilized for cutting-edge tech advances and future research, including neuromorphic array architecture. Full article
(This article belongs to the Special Issue Sensor Techniques for Signal, Image and Video Processing)
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16 pages, 1334 KB  
Article
Weighted Single-Step Genome-Wide Association Study Identifies Candidate Genes for Carcass Traits and Primal Cut Yields in Hanwoo Cattle
by Jun Park, Ji Suk Yu, Sun Kyu Byun, Ho Sung Choe and Do Hyun Kim
Animals 2026, 16(1), 136; https://doi.org/10.3390/ani16010136 - 3 Jan 2026
Viewed by 350
Abstract
This study identified genomic regions associated with carcass traits and primal cut yields in Hanwoo cattle using weighted single-step genome-wide association study (WssGWAS). A total of 50,227 carcass records and genomic data from 23,573 animals with 45,057 single-nucleotide polymorphisms were analyzed. Heritability estimates [...] Read more.
This study identified genomic regions associated with carcass traits and primal cut yields in Hanwoo cattle using weighted single-step genome-wide association study (WssGWAS). A total of 50,227 carcass records and genomic data from 23,573 animals with 45,057 single-nucleotide polymorphisms were analyzed. Heritability estimates were 0.24 for carcass weight, 0.22 for eye muscle area, 0.31 for backfat thickness, and 0.36 for marbling score, while those for primal cut yields ranged from 0.02 to 0.26. For carcass traits, candidate genes were identified for carcass weight (XKR4 2.35%, COBL 1.26%), eye muscle area (LCORL 1.56%, TGFBR2 1.49%), backfat thickness (ATG7 1.27%, MYPN 1.33%), and marbling score (TWIST2 1.16%, BMP4 1.14%). For primal cut yields, the chromosome 6 region containing WDR1 was commonly identified across six traits and the chromosome 4 region containing CACNA2D1 across five traits; the chromosome 28 region containing SIRT1 explained the highest genetic variance (6.46%) for striploin. These pleiotropic regions are potential targets for genomic selection to improve production efficiency and carcass value in Hanwoo. Full article
(This article belongs to the Special Issue Advances in Cattle Genetics and Breeding)
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25 pages, 3345 KB  
Article
Edge-Side Electricity-Carbon Coordinated Hybrid Trading Mechanism for Microgrid Cluster Flexibility
by Hualei Zou, Qiang Xing, Bitao Xiao, Xilong Xing, Andrew Yang Wu and Jiaqi Liu
Processes 2026, 14(1), 83; https://doi.org/10.3390/pr14010083 - 25 Dec 2025
Viewed by 306
Abstract
High penetration of renewable energy sources (RES) in power systems introduces substantial source-load uncertainty and flexibility challenges, leading to misalignments between economic optimization and environmental sustainability. An edge-side electricity-carbon coordinated hybrid trading mechanism was proposed to enhance flexibility in microgrid clusters. A three-layer [...] Read more.
High penetration of renewable energy sources (RES) in power systems introduces substantial source-load uncertainty and flexibility challenges, leading to misalignments between economic optimization and environmental sustainability. An edge-side electricity-carbon coordinated hybrid trading mechanism was proposed to enhance flexibility in microgrid clusters. A three-layer time-varying carbon emission factor (CEF) model is developed to quantify negative emissions as tradable Chinese Certified Emission Reductions (CCERs). An endogenous economic equilibrium point enables dynamic switching between Incentive-Based Demand Response during high-carbon periods and Price-Based Demand Response during low-carbon periods, based on marginal profit comparisons. A Wasserstein distance-based distributionally robust CVaR (WDR-CVaR) strategy constructs a data-driven ambiguity set to optimize decisions under worst-case distributional shifts in edge-side data. Simulations on a modified IEEE 33-bus system show that the mechanism increases the Multi-Energy Aggregator’s (MEA) expected profit by 12.3%, reduces carbon emissions by 17.6%, with WDR-CVaR demonstrating superior out-of-sample performance compared to sample average approximation methods. The approach internalizes environmental values through carbon-electricity coupling and edge intelligence, providing a resilient framework for low-carbon distribution network operations. Full article
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23 pages, 5919 KB  
Article
Machine Learning Reveals Common Regulatory Mechanisms Mediated by Autophagy-Related Genes in the Development of Inflammatory Bowel Disease and Major Depressive Disorder
by Gengxian Wang, Luojin Wu, Jiyuan Shi, Mengmeng Sang and Liming Mao
Genes 2026, 17(1), 4; https://doi.org/10.3390/genes17010004 - 19 Dec 2025
Viewed by 448
Abstract
Background: Major Depressive Disorder (MDD) is more common in patients with Inflammatory Bowel Disease (IBD) than in the general population, suggesting a shared but unclear pathogenesis. Autophagy, a conserved intracellular cleaning process, maintains cellular health by removing debris and recycling nutrients. Given the [...] Read more.
Background: Major Depressive Disorder (MDD) is more common in patients with Inflammatory Bowel Disease (IBD) than in the general population, suggesting a shared but unclear pathogenesis. Autophagy, a conserved intracellular cleaning process, maintains cellular health by removing debris and recycling nutrients. Given the limited research on autophagy in this comorbidity, this study investigated the role of autophagy-related genes in both disorders. Aim: This study aimed to identify shared autophagy-related mechanisms between IBD and MDD and to explore potential therapeutic strategies. Methods: We identified differentially expressed autophagy-related genes (DE-ARGs) in diseased versus normal tissues. Shared DE-ARGs between IBD and MDD were designated Co-DEGs. We analyzed correlations among Co-DEGs and their association with immune cell infiltration. Four machine-learning algorithms were used to pinpoint key biomarkers. Potential therapeutic agents were predicted and validated via molecular docking. Results: We identified 47 shared Co-DEGs. Among these, CASP1 emerged as a cross-disease shared susceptibility-associated gene (SSAG), consistently selected by all machine-learning models. Drug-gene interaction analysis and molecular docking identified compounds that could regulate CASP1. Single-cell analysis suggested CASP1 helps reshape the immune microenvironment in Crohn’s disease. Furthermore, Mendelian randomization identified WDR6 as a shared genetic risk factor for both conditions. Conclusions: Our findings illuminate autophagy-mediated mechanisms linking gut and brain disorders. The identification of CASP1 as a SSAG, along with candidate therapeutics, provides a foundation for future research and targeted treatments for IBD and MDD comorbidity. Full article
(This article belongs to the Special Issue Advances in Developing Genomics and Computational Approaches)
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28 pages, 5685 KB  
Article
Hygrothermal Performance of Exterior Wall Assemblies Under Wind-Driven Rain Across China’s Thermal Zones
by Meirong Liu, Lingjiang Huang and Juan Wang
Buildings 2025, 15(22), 4198; https://doi.org/10.3390/buildings15224198 - 20 Nov 2025
Viewed by 816
Abstract
Wind-driven rain (WDR) is recognized as a primary source of moisture intrusion in exterior wall assemblies. However, China’s national code for thermal design of wall assemblies predominantly relies on temperature criteria classified by thermal zones, with humidity-related impacts on building thermal performance remaining [...] Read more.
Wind-driven rain (WDR) is recognized as a primary source of moisture intrusion in exterior wall assemblies. However, China’s national code for thermal design of wall assemblies predominantly relies on temperature criteria classified by thermal zones, with humidity-related impacts on building thermal performance remaining unconsidered. Thus, the influence of WDR on the hygrothermal performance of exterior wall assemblies necessitates systematic investigation. This study aims to explore variations in moisture resistance among different wall assemblies under WDR exposure and differences in hygrothermal performance of identical assemblies across designated thermal zones. To this end, the hygrothermal behavior of five typical insulated wall assembly types was evaluated across 21 representative cities spanning four major thermal zones in China. Results indicate significant disparities in the hygrothermal performance of wall assemblies under WDR across thermal zones: dryness rates decreased by an average of 100%, 93.33%, 44%, and 30% in Severe Cold, Cold, Hot Summer and Cold Winter, and Hot Summer and Warm Winter Zones, respectively. Furthermore, although certain wall assemblies eventually dried over time, the risk of mold growth persisted. Notably, wall assemblies with external EPS insulation exhibited high sensitivity to WDR, while self-insulated and internal insulation systems were also vulnerable to WDR in the Hot Summer and Warm Winter Zone. In conclusion, annual WDR exposure and U-value are key factors in designing wall assemblies for optimal hygrothermal performance. Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
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20 pages, 3174 KB  
Article
Decoding Multi-Omics Signatures in Lower-Grade Glioma Using Protein–Protein Interaction-Informed Graph Attention Networks and Ensemble Learning
by Murtada K. Elbashir, Afrah Alanazi and Mahmood A. Mahmood
Diagnostics 2025, 15(22), 2894; https://doi.org/10.3390/diagnostics15222894 - 14 Nov 2025
Viewed by 525
Abstract
Background/Objectives: Lower-grade gliomas (LGGs) are a biologically and clinically heterogeneous group of brain tumors, for which molecular stratification plays essential role in diagnosis, prognosis, and therapeutic decision-making. Conventional unimodal classifiers do not necessarily describe cross-layer regulatory dynamics which entail the heterogeneity of [...] Read more.
Background/Objectives: Lower-grade gliomas (LGGs) are a biologically and clinically heterogeneous group of brain tumors, for which molecular stratification plays essential role in diagnosis, prognosis, and therapeutic decision-making. Conventional unimodal classifiers do not necessarily describe cross-layer regulatory dynamics which entail the heterogeneity of glioma. Methods: This paper presents a protein–protein interaction (PPI)-informed hybrid model that combines multi-omics profiles, including RNA expression, DNA methylation, and microRNA expression, with a Graph Attention Network (GAT), Random Forest (RF), and logistic stacking ensemble learning. The proposed model utilizes ElasticNet-based feature selection to obtain the most informative biomarkers across omics layers, and the GAT module learns the biologically significant topological representations in the PPI network. The Synthetic Minority Over-Sampling Technique (SMOTE) was used to mitigate the class imbalance, and the model performance was assessed using a repeated five-fold stratified cross-validation approach using the following performance metrics: accuracy, precision, recall, F1-score, ROC-AUC, and AUPRC. Results: The findings illustrate that a combination of multi-omics data increases subtype classification rates (up to 0.984 ± 0.012) more than single-omics methods, and DNA methylation proves to be the most discriminative modality. In addition, analysis of interpretability using attention revealed the major subtype-specific biomarkers, including UBA2, LRRC41, ANKRD53, and WDR77, that show great biological relevance and could be used as diagnostic and therapeutic tools. Conclusions: The proposed multi-omics based on a biological and explainable framework provides a solid computational approach to molecular stratification and biomarker identification in lower-grade glioma, bridging between predictive power, biological clarification, and clinical benefits. Full article
(This article belongs to the Special Issue A New Era in Diagnosis: From Biomarkers to Artificial Intelligence)
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23 pages, 12455 KB  
Article
The VvWRKY26-MBW Complex Induced by Salicylic Acid Promotes the Accumulation of Proanthocyanidins in Grape
by Pengfei Zhang, Yuyu Feng, Xiaoran Du, Zhilong Hao, Jinjun Liang and Pengfei Wen
Plants 2025, 14(21), 3272; https://doi.org/10.3390/plants14213272 - 26 Oct 2025
Cited by 1 | Viewed by 696
Abstract
Proanthocyanidins (PAs) are a significant class of polyphenolic compounds found in grapes, playing important roles in human health and plant stress resistance. Previous studies have shown that the VvMYBPA1/PA2-VvWDR1-VvMYC2 (MBW) complex can regulate the biosynthesis of proanthocyanidins, and some studies have shown that [...] Read more.
Proanthocyanidins (PAs) are a significant class of polyphenolic compounds found in grapes, playing important roles in human health and plant stress resistance. Previous studies have shown that the VvMYBPA1/PA2-VvWDR1-VvMYC2 (MBW) complex can regulate the biosynthesis of proanthocyanidins, and some studies have shown that the homologous genes of VvWRKY26 are involved in the biosynthesis of proanthocyanins and anthocyanins in Arabidopsis thaliana and petunias, but the molecular mechanism of VvWRKY26 in regulating the biosynthesis of proanthocyanins in grapes is still unclear. In this study, we found that the content of proanthocyanidins and the expression of related structural genes were significantly increased by salicylic acid (SA) incubation in grapes during the color transition period. Overexpression of VvWRKY26 in grapevine healing tissues revealed that overexpression of VvWRKY26 significantly promoted the accumulation of proanthocyanidins and up-regulation of related structural genes when compared with the empty vector. Further investigation into the interaction mechanisms through yeast two-hybrid and bimolecular fluorescence complementation assays revealed that VvWRKY26 can interact with VvMYBPA1/PA2, VvMYC2, and VvWDR1 to form VvMYBPA1/PA2-VvWDR1-VvMYC2-VvWRKY26 (W-MBW) complex. Through yeast one-hybrid assays and dual-luciferase reporter analysis, it was confirmed that VvWRKY26 could bind to the promoters of VvANR and VvLAR2 and activate their activity. Finally, through the co-overexpression of VvWRKY26 and MBW complex, it was discovered that the promoting activity of VvANR and VvLAR2, as well as the biosynthesis of PAs, were significantly enhanced, which was much higher than the effect of the MBW complex alone, while the opposite occurred after co-interference. In conclusion, this study explored the role of VvWRKY26 in the biosynthesis of proanthocyanidins in grapes after the interaction with the MBW complex to form W-MBW under SA incubation, providing a new regulatory mechanism for the biosynthesis of proanthocyanidins in grapes. Full article
(This article belongs to the Section Plant Physiology and Metabolism)
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23 pages, 8637 KB  
Article
Comprehensive Explorations and Preliminary Experimental Verification of RNA Modification-Related Diagnostic Markers in the Subtype Classification of Peripheral Blood-Derived Mononuclear Cells Derived from Post-Traumatic Stress Disorder Patients
by Lesheng Wang, Gaomeng Luo, Sha Liu, Zhipeng Xu, Wei Wei and Xiang Li
Diseases 2025, 13(10), 323; https://doi.org/10.3390/diseases13100323 - 1 Oct 2025
Cited by 1 | Viewed by 850
Abstract
Background: The precise role of RNA modification in post-traumatic stress disorder (PTSD) remains incompletely understood. This study aims to elucidate the effects of five common RNA modifications in PTSD, specifically m6A, m5C, m1A, m7G, and [...] Read more.
Background: The precise role of RNA modification in post-traumatic stress disorder (PTSD) remains incompletely understood. This study aims to elucidate the effects of five common RNA modifications in PTSD, specifically m6A, m5C, m1A, m7G, and ψ. Methods: We extracted data from the GEO repository to conduct a series of bioinformatics analyses. These included differential analysis to identify key regulators of five common RNA modifications, model construction using random forest (RF), least absolute shrinkage and selection operator (LASSO), and nomogram techniques, as well as consensus clustering of RNA modification subtypes. Furthermore, GO enrichment analysis was performed on DEGs associated with various RNA modification patterns. Immune cell infiltration was assessed using PCA and ssGSEA. RT-qPCR was performed to validate RNA modification-related genes (RMGs). Results: Twenty-one differentially expressed RMGs were identified. LASSO and RF intersection yielded eight signature genes (YTHDC1, IGFBP1, IGF2BP1, ALKBH5, NSUN4, TET2, TET3, WDR4) that robustly diagnosed PTSD (AUC = 0.804). Furthermore, these feature genes were validated using RT-qPCR, which was basically consistent with the results of bioinformatics analysis. Consensus clustering analysis may reveal two distinguishable subtypes: clusterA marked by high immunoinflammation, and clusterB characterized by high-neuroendocrine dysregulation. Conclusions: RMGs may play a crucial role in the pathogenesis of PTSD. Analyzing RNA modification patterns could offer potential diagnostic markers and help to guide immunotherapeutic approaches or neurotransmitter system interventions for PTSD in the future. Full article
(This article belongs to the Section Neuro-psychiatric Disorders)
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18 pages, 1811 KB  
Article
Myricetin Attenuates Hyperexcitability of Trigeminal Nociceptive Second-Order Neurons in Inflammatory Hyperalgesia: Celecoxib-like Effects
by Sana Yamaguchi and Mamoru Takeda
Molecules 2025, 30(18), 3789; https://doi.org/10.3390/molecules30183789 - 18 Sep 2025
Viewed by 717
Abstract
Myricetin (MYR), a naturally occurring flavonoid widely distributed in fruits and vegetables, was investigated for its potential to reduce inflammation-induced hyperexcitability in the spinal trigeminal nucleus caudalis (SpVc), which is associated with hyperalgesia. The study also compared MYR’s impact with that of celecoxib [...] Read more.
Myricetin (MYR), a naturally occurring flavonoid widely distributed in fruits and vegetables, was investigated for its potential to reduce inflammation-induced hyperexcitability in the spinal trigeminal nucleus caudalis (SpVc), which is associated with hyperalgesia. The study also compared MYR’s impact with that of celecoxib (CEL), a non-steroidal anti-inflammatory drug (NSAID). To induce inflammation, Complete Freund’s adjuvant was injected into the whisker pads of rats. Subsequently, we measured the mechanical escape threshold by applying mechanical stimuli to the orofacial region. We found that inflamed rats exhibited a significantly lower threshold compared to naive rats (each group, n = 4). This reduced threshold returned to the naive level two days after the administration of MYR (16 mg/kg, i.p.), CEL (10 mg/kg, i.p.), and a combination of MYR (8 mg/kg, i.p.) + CEL (5 mg/kg, i.p.). To investigate the nociceptive neural response to orofacial mechanical stimulation, we performed extracellular single-unit recordings to measure the activity of SpVc wide-dynamic range (WDR) neurons in anesthetized subjects. In inflamed rats, administration of MYR, CEL, or 1/2MYR + 1/2CEL (each group, n = 4) significantly reduced both the average spontaneous activity and the evoked firing rate of SpVc neurons in response to non-painful and painful mechanical stimuli. The increased average receptive field size in inflamed rats was normalized to the naive level following treatment with MYR, CEL, or 1/2MYR + 1/2CEL. These findings suggest that MYR administration can mitigate inflammatory hyperalgesia by reducing the heightened excitability of SpVc WDR neurons. This supports the notion that MYR could be a viable therapeutic option in complementary and alternative medicine for preventing trigeminal inflammatory mechanical hyperalgesia, potentially serving as an alternative to selective cyclooxygenase-2 blockers. Full article
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17 pages, 3444 KB  
Article
Astaxanthin Alleviates Inflammatory Mechanical Hyperalgesia by Reducing Hyperexcitability of Trigeminal Nociceptive Secondary Neurons: Potential as an NSAID Alternative
by Risako Chida and Mamoru Takeda
Molecules 2025, 30(18), 3664; https://doi.org/10.3390/molecules30183664 - 9 Sep 2025
Cited by 1 | Viewed by 1050
Abstract
This study investigated the potential of astaxanthin (AST), a natural carotenoid, to mitigate inflammation-induced hyperexcitability in the spinal trigeminal nucleus caudalis (SpVc) and the associated hyperalgesia. The efficacy of systemic AST application was compared to that of celecoxib (CEL). Inflammation was induced by [...] Read more.
This study investigated the potential of astaxanthin (AST), a natural carotenoid, to mitigate inflammation-induced hyperexcitability in the spinal trigeminal nucleus caudalis (SpVc) and the associated hyperalgesia. The efficacy of systemic AST application was compared to that of celecoxib (CEL). Inflammation was induced by injecting Complete Freund’s adjuvant into the whisker pads of rats. The mechanical escape threshold was then assessed by delivering mechanical stimuli to the orofacial region. Although inflamed rats exhibited a significantly lower mechanical threshold compared to naïve rats, this threshold was restored to normal levels two days after treatment with AST, CEL, and the 1/2 CEL + 1/2 AST combination. The activity of SpVc wide-dynamic range (WDR) neurons was measured using extracellular single-unit recordings in response to mechanical stimulation of the orofacial area under anesthesia. In inflamed rats, AST, CEL, and 1/2 CEL + 1/2 AST administration significantly reduced the average firing rate of these neurons elicited by both non-noxious and noxious mechanical stimuli. In addition, all three treatments significantly decreased the heightened average spontaneous activity of SpVc neurons and normalized the increased average receptive field size in inflamed rats. This study provides evidence that systemic AST administration attenuates inflammatory mechanical hyperalgesia. This action is associated with the suppression of hyperexcitability in nociceptive SpVc WDR neurons, likely through the inhibition of the cyclooxygenase-2 signaling pathway. These findings support the potential of AST as a therapeutic agent for complementary and alternative medicine. It may provide a valuable alternative to non-steroidal anti-inflammatory drugs for the prevention of trigeminal inflammatory mechanical hyperalgesia. Full article
(This article belongs to the Special Issue Role of Natural Products in Inflammation)
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13 pages, 2138 KB  
Article
AI-Based Facial Phenotyping Supports a Shared Molecular Axis in PACS1-, PACS2-, and WDR37-Related Syndromes
by Julia del Rincón, Marta Gil-Salvador, Cristina Lucia-Campos, Laura Acero, Laura Trujillano, María Arnedo, Pilar Pamplona, Ariadna Ayerza-Casas, Beatriz Puisac, Feliciano J. Ramos, Juan Pié and Ana Latorre-Pellicer
Int. J. Mol. Sci. 2025, 26(16), 7964; https://doi.org/10.3390/ijms26167964 - 18 Aug 2025
Viewed by 1049
Abstract
Despite significant advances in gene discovery, the molecular basis of many rare genetic disorders remains poorly understood. The concept of disease modules, clusters of functionally related genes whose disruption leads to overlapping phenotypes, offers a valuable framework for interpreting these conditions. However, identifying [...] Read more.
Despite significant advances in gene discovery, the molecular basis of many rare genetic disorders remains poorly understood. The concept of disease modules, clusters of functionally related genes whose disruption leads to overlapping phenotypes, offers a valuable framework for interpreting these conditions. However, identifying such relationships remains particularly challenging in ultra-rare syndromes due to the limited number of documented cases. We hypothesized that AI-based facial phenotyping could aid in identifying shared molecular mechanisms by detecting phenotypic convergence among clinically related syndromes. To test this, we used Schuurs–Hoeijmakers syndrome (SHMS; OMIM #615009), caused by a recurrent de novo variant in PACS1, as a model to explore potential phenotypic and functional associations with PACS2-related disorder (DEE66; OMIM #618067) and WDR37-related disorder (NOCGUS; OMIM #618652). Facial photographs of individuals with SHMS were analyzed using the DeepGestalt and GestaltMatcher algorithms. In addition to consistently recognizing SHMS as a distinct clinical entity, the algorithms frequently matched DEE66 and NOCGUS, suggesting a shared facial gestalt. Binary comparisons further confirmed overlapping craniofacial features among the three disorders. These findings were supported by literature review, indicating clinical overlapping and potential functional associations. Overall, our results confirm the presence of consistent facial similarities among PACS1-, PACS2-, and WDR37-related syndromes and highlight the utility of AI-driven facial phenotyping as a complementary tool for uncovering clinically relevant relationships in ultra-rare genetic disorders. Full article
(This article belongs to the Section Molecular Biology)
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19 pages, 1940 KB  
Article
Linkages Between Sorghum bicolor Root System Architectural Traits and Grain Yield Performance Under Combined Drought and Heat Stress Conditions
by Alec Magaisa, Elizabeth Ngadze, Tshifhiwa P. Mamphogoro, Martin P. Moyo and Casper N. Kamutando
Agronomy 2025, 15(8), 1815; https://doi.org/10.3390/agronomy15081815 - 26 Jul 2025
Viewed by 1132
Abstract
Breeding programs often overlook the use of root traits. Therefore, we investigated the relevance of sorghum root traits in explaining its adaptation to combined drought and heat stress (CDHS). Six (i.e., three pre-release lines + three checks) sorghum genotypes were established at two [...] Read more.
Breeding programs often overlook the use of root traits. Therefore, we investigated the relevance of sorghum root traits in explaining its adaptation to combined drought and heat stress (CDHS). Six (i.e., three pre-release lines + three checks) sorghum genotypes were established at two low-altitude (i.e., <600 masl) locations with a long-term history of averagely very high temperatures in the beginning of the summer season, under two management (i.e., CDHS and well-watered (WW)) regimes. At each location, the genotypes were laid out in the field using a randomized complete block design (RCBD) replicated two times. Root trait data, namely root diameter (RD), number of roots (NR), number of root tips (NRT), total root length (TRL), root depth (RDP), root width (RW), width–depth ratio (WDR), root network area (RNA), root solidity (RS), lower root area (LRA), root perimeter (RP), root volume (RV), surface area (SA), root holes (RH) and root angle (RA) were gathered using the RhizoVision Explorer software during the pre- and post-flowering stage of growth. RSA traits differentially showed significant (p < 0.05) correlations with grain yield (GY) at pre- and post-flowering growth stages and under CDHS and WW conditions also revealing genotypic variation estimates exceeding 50% for all the traits. Regression models varied between pre-flowering (p = 0.013, R2 = 47.15%, R2 Predicted = 29.32%) and post-flowering (p = 0.000, R2 = 85.64%, R2 Predicted = 73.30%) growth stages, indicating post-flowering as the optimal stage to relate root traits to yield performance. RD contributed most to the regression model at post-flowering, explaining 51.79% of the 85.64% total variation. The Smith–Hazel index identified ICSV111IN and ASAREACA12-3-1 as superior pre-release lines, suitable for commercialization as new varieties. The study demonstrated that root traits (in particular, RD, RW, and RP) are linked to crop performance under CDHS conditions and should be incorporated in breeding programs. This approach may accelerate genetic gains not only in sorghum breeding programs, but for other crops, while offering a nature-based breeding strategy for stress adaptation in crops. Full article
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17 pages, 3817 KB  
Article
Molecular Mechanism of Body Color Change in the Ecological Seedling Breeding Model of Apostichopus japonicus
by Lingshu Han, Pengfei Hao, Haoran Xiao, Weiyan Li, Yichen Fan, Wanrong Tian, Ye Tian, Luo Wang, Yaqing Chang and Jun Ding
Biology 2025, 14(7), 873; https://doi.org/10.3390/biology14070873 - 17 Jul 2025
Cited by 1 | Viewed by 908
Abstract
The mismatch between the rapid expansion of breeding scale and outdated techniques has hindered the development of the sea cucumber (A. japonicus) industry. Our previous work revealed that ecological seedling breeding can produce red-colored A. japonicus, a phenotype not observed [...] Read more.
The mismatch between the rapid expansion of breeding scale and outdated techniques has hindered the development of the sea cucumber (A. japonicus) industry. Our previous work revealed that ecological seedling breeding can produce red-colored A. japonicus, a phenotype not observed in traditional artificial breeding, where individuals are typically green. To investigate the molecular and genetic basis of this novel red coloration, we compared the growth conditions of red sea cucumbers and green sea cucumbers, as well as the differences in the pigment composition, gene expression and metabolites of their body walls. Red individuals showed higher body length and weight, and elevated levels of astaxanthin, lutein, canthaxanthin, and β-carotene in the body wall. Transcriptomic and metabolomic analyses identified differentially expressed genes and metabolites associated with pigmentation. In particular, FMO2 and WDR18, involved in the cytochrome P450 drug metabolism pathway, were significantly upregulated in red individuals and are known to play roles in pigment biosynthesis and light signal perception. Key metabolites such as astaxanthin and fucoxanthin were implicated in body color formation. Moreover, genes in the arachidonic acid metabolism pathway were highly expressed, suggesting that dietary factors may contribute to pigment synthesis and accumulation. These findings provide novel insights into the mechanisms underlying body color variation in A. japonicus and offer potential for improved breeding strategies. Full article
(This article belongs to the Section Marine and Freshwater Biology)
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