Functional connectivity key feature analysis of cognitive impairment patients based on microstate brain network.

Mild cognitive impairment (MCI) is the initial phase of Alzheimer's disease (AD). The cognitive decline is linked to abnormal connectivity between different regions of the brain. Most brain network studies fail to consider the changes in brain patterns and do not reflect the dynamic pathological characteristics of patients. Therefore, this paper proposes a method for constructing brain networks based on microstate sequences. It also analyzes the microstate temporal parameters and introduces a new feature, the brain homeostasis coefficient (Bhc), to quantify the stability of patient brain connections. The results showed that microstate class B parameters were higher in the MCI than in the HC group. Additionally, the Bhc values in most channels of the MCI and AD groups were lower than those of the HC group, with the most significant differences observed in the right frontal lobe. These differences were statistically significant (P < 0.05). The findings indicate that connectivity in the right frontal lobe may be most severely disrupted in patients with cognitive impairment. Furthermore, the Montreal Cognitive Assessment score showed a strong positive correlation with Bhc. This suggests that Bhc could be a novel biomarker for evaluating cognitive function in patients with cognitive impairment.

Effect of GABAa-receptors on neuronal discharge and ion activity in focal seizures.

Focal seizures are a type of epileptic event that has plagued the medical community for a long time, and the existing drug treatment is mainly based on the modulation of ${GABA}_a$-receptors to affect GABAergic signaling to achieve the therapeutic purpose. The majority of research currently focuses on the impact of ${GABA}_a$-receptors on neuronal firing, failing to analyze the molecular and ionic mechanisms involved. Specifically, the research on deeper-level mechanisms on how ${GABA}_a$-receptors affect neuronal firing by altering ion activity has not been addressed. This research aimed to study the effects of different ${GABA}_a$-receptor structures on ion activity in focal seizures model by adjusting parameters of the ${GABA}_a$-receptors: the rise time constant (${tau}_1$) and decay time constant (${tau}_2$). The research indicates that as the values of ${tau}_1$ and ${tau}_2$ of the ${GABA}_a$-receptor change, the ion concentration will vary based on the change of the ${GABA}_a$-receptor potential. To a certain extent, the duration of epileptic activity will also be affected to a certain extent. In conclusion, the alteration of ${GABA}_a$-receptor structure will affect the inhibitory effect of interneurons on pyramidal neurons, and different parameters of the ${GABA}_a$-receptor will directly impact the therapeutic effect.

Enzyme-Triggered Polyelectrolyte Complex for Responsive Delivery of α-Helical Polypeptides to Optimize Antibacterial Therapy.

Responsive nanomaterials hold significant promise in the treatment of bacterial infections by recognizing internal or external stimuli to achieve stimuli-responsive behavior. In this study, we present an enzyme-responsive polyelectrolyte complex micelles (PTPMN) with α-helical cationic polypeptide as a coacervate-core for the treatment of Escherichia coli (E. coli) infection. The complex was constructed through electrostatic interaction between cationic poly(glutamic acid) derivatives and phosphorylation-modified poly(ethylene glycol)-b-poly(tyrosine) (PEG-b-PPTyr) by directly dissolving them in aqueous solution. The cationic polypeptide adopted α-helical structure and demonstrated excellent broad-spectrum antibacterial activity against both Gram-negative and Gram-positive bacteria, with a minimum inhibitory concentration (MIC) as low as 12.5 µg mL-1 against E. coli. By complexing with anionic PEG-b-PPTyr, the obtained complex formed ß-sheet structures and exhibited good biocompatibility and low hemolysis. When incubated in a bacterial environment, the complex cleaved its phosphate groups triggered by phosphatases secreted by bacteria, exposing the highly α-helical conformation and restoring its effective bactericidal ability. In vivo experiments confirmed accelerated healing in E. coli-infected wounds.

Construction of Highly Accurate Machine Learning Potential Energy Surfaces for Excited-State Dynamics Simulations Based on Low-Level Data Sets.

Machine learning is capable of effectively predicting the potential energies of molecules in the presence of high-quality data sets. Its application in the construction of ground- and excited-state potential energy surfaces is attractive to accelerate nonadiabatic molecular dynamics simulations of photochemical reactions. Because of the huge computational cost of excited-state electronic structure calculations, the construction of a high-quality data set becomes a bottleneck. In the present work, we first built two data sets. One was obtained from surface hopping dynamics simulations at the semiempirical OM2/MRCI level. Another was extracted from the dynamics trajectories at the CASSCF level, which was reported previously. The ground- and excited-state potential energy surfaces of ethylene-bridged azobenzene at the CASSCF computational level were constructed based on the former low-level data set. Although non-neural network machine learning methods can achieve good or modest performance during the training process, only neural network models provide reliable predictions on the latter external test data set. The BPNN and SchNet combined with the Δ-ML scheme and the force term in the loss functions are recommended for dynamics simulations. Then, we performed excited-state dynamics simulations of the photoisomerization of ethylene-bridged azobenzene on machine learning potential energy surfaces. Compared with the lifetimes of the first excited state (S1) estimated at different computational levels, our results on the E isomer are in good agreement with the high-level estimation. However, the overestimation of the Z isomer is unimproved. It suggests that smaller errors during the training process do not necessarily translate to more accurate predictions on high-level potential energies or better performance on nonadiabatic dynamics simulations, at least in the present case.

Excited-State Decay and Photolysis of O-Nitrophenol after Proton Transfer. II: A Theoretical Investigation in the Microsolvated Atmospheric Environment.

Changes in atmospheric humidity affect the number of water molecules surrounding o-nitrophenol (ONP), creating an anisotropic chemical environment. It, in turn, influences the photodynamic behaviors of ONP, differing from those observed in the gas phase and in solution. Recently, we explored the excited-state decay and the generation of the hydroxyl (OH) radical before proton transfer of ONP in the microsolvated environment using the MS-CASPT2//CASSCF approach. As is well known, ONP is capable of converting to its aci-nitro isomer (aciONP) via an excited-state intramolecular proton transfer (ESIPT) process. In the present work, the photoinduced dynamics of aciONP, which can lead to an OH radical and nitrous acid (HONO), was studied using the same computational model. Our calculations demonstrated that increasing the number of water molecules affects the molecular geometries, particularly the key bond lengths and dihedral angles of the HONO group, while also reducing the relative energies of minima and intersections. Moreover, we identified two distinct types of minimum structures: one that retains the intramolecular hydrogen bond and the other that breaks the hydrogen bond with the H atom flipping outward. The latter structure, compared with the former, has a different electronic-state character and facilitates intersystem crossing processes. Subsequently, two major excited-state decay paths were proposed: (PATH I) ESIPT → S1 → S1S0 → S0; (PATH II) ESIPT → S1 → S1-2 → S1T1 → T1 → S0T1 → S0. Furthermore, the T1 state has a relatively long lifetime, allowing for the formation of the OH radical and HONO, and the corresponding energy barriers decrease as the number of water molecules increases. These theoretical findings provide valuable insights into the photodynamics of aciONP in the microsolvated atmospheric environment.

Excited-State Decay and Photolysis of O-Nitrophenol before Proton Transfer. I: A Theoretical Investigation in the Microsolvated Atmospheric Environment.

As a potential source of the hydroxyl (OH) radical and nitrous acid (HONO), photolysis of o-nitrophenol (ONP) is of significant interest in both experimental and theoretical studies. In the atmospheric environment, the number of water molecules surrounding ONP changes with the humidity of the air, leading to an anisotropic chemical environment. This may have an impact on the photodynamics of ONP and provide a mechanism that differs from previously reported ones in the gas phase or in solution. Herein, the high-level MS-CASPT2//CASSCF method was performed to elucidate the excited-state decay and the generation of the OH radical for ONP before proton transfer in the microsolvated surrounding. We found that the varying number of water molecules affects the ground-state structures and alters the energy levels of nπ* and ππ* at the Franck-Condon (FC) region. Nevertheless, this is not the case for the excited-state minima, which exhibit very similar adiabatic excitation properties. In addition, the presence of water molecules also significantly influences the intersection structures since hydrogen bonds will hinder or alleviate the rotation or pyramidalization of the nitro (NO2) group. This will, in turn, change the excited-state relaxation mechanism of ONP. Finally, we speculated that the OH radical might be formed in the hot ground state of ONP in the microsolvated surrounding after exploring all possible electronic states.

Comparative Efficacy of Augmenting Escitalopram with Modified Electroconvulsive Therapy or High-Frequency Repetitive Transcranial Magnetic Stimulation on Depressive Symptoms, Quality of Life, and Cognitive Function in Treatment-Resistant Depression.

Treatment-resistant depression (TRD) poses significant therapeutic challenges despite available interventions. Escitalopram (ESC) is a highly selective antidepressant. This study aimed to compare ESC alone and ESC combined with modified electroconvulsive therapy (MECT) or high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) in TRD patients. Ninety participants were randomized into ESC alone, ESC + MECT, and ESC + HF-rTMS groups. Notable differences were observed in Hamilton Depression Rating Scale (HDRS-17) scores at 12 weeks among ESC (14.37), ESC + MECT (10.27), and ESC + HF-rTMS (10.77) groups (P = 0.006). In terms of overall quality of life (QoL) evaluated using the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) at 12 weeks, the ESC, ESC + MECT, and ESC + HF-rTMS groups scored 2, 3, and 3.5, respectively. ESC + MECT/HF-rTMS groups showed reduced depressive symptoms compared to the ESC group, accompanied by higher overall QoL scores and increased satisfaction with health. Patients receiving ESC + MECT demonstrated no significant alterations in short-term memory and orientation, as measured by the Montreal Cognitive Assessment (MoCA), before and after treatment. Moreover, a decline in language was observed compared to baseline (12 weeks: median 2, IQR 2-3; baseline: median 1, IQR 1-3; P = 0.022). The positive impact of ESC with HF-rTMS on cognitive function was evidenced by improvements in all domines MoCA.Combining ESC with MECT or HF-rTMS exhibited enhanced effectiveness in alleviating depressive symptoms and enhancing QoL compared to ESC monotherapy. Specifically, the ESC + HF-rTMS combination displayed potential as a comprehensive treatment strategy for TRD, addressing both emotional and cognitive aspects.

Understanding the Excited-State Relaxation Mechanisms of Xanthophyll Lutein by Multi-configurational Electronic Structure Calculations.

The contradictory behaviors in light harvesting and non-photochemical quenching make xanthophyll lutein the most attractive functional molecule in photosynthesis. Despite several theoretical simulations on the spectral properties and excited-state dynamics, the atomic-level photophysical mechanisms need to be further studied and established, especially for an accurate description of geometric and electronic structures of conical intersections for the lowest several electronic states of lutein. In the present work, semiempirical OM2/MRCI and multi-configurational restricted active space self-consistent field methods were performed to optimize the minima and conical intersections in and between the 1Ag-, 2Ag-, 1Bu+, and 1Bu- states. Meanwhile, the relative energies were refined by MS-CASPT2(10,8)/6-31G*, which can reproduce correct electronic state properties as those in the spectroscopic experiments. Based on the above calculation results, we proposed a possible excited-state relaxation mechanism for lutein from its initially populated 1Bu+ state. Once excited to the optically bright 1Bu+ state, the system will propagate along the key reaction coordinate, i.e., the stretching vibration of the conjugated carbon chain. During this period of time, the 1Bu- state will participate in and forms a resonance state between the 1Bu- and 1Bu+ states. Later, the system will rapidly hop to the 2Ag- state via the 1Bu+/2Ag- conical intersection. Finally, the lutein molecule will survive in the 2Ag- state for a relatively long time before it internally converts to the ground state directly or via a twisted S1/S0 conical intersection. Notably, though the photophysical picture may be very different in solvents and proteins, the current theoretical study proposed a promising calculation protocol and also provided many valuable mechanistic insights for lutein and similar carotenoids.

Astaxanthin alleviates PM2.5-induced cardiomyocyte injury via inhibiting ferroptosis.

BACKGROUND: Long-term exposure of humans to air pollution is associated with an increasing risk of cardiovascular diseases (CVDs). Astaxanthin (AST), a naturally occurring red carotenoid pigment, was proved to have multiple health benefits. However, whether or not AST also exerts a protective effect on fine particulate matter (PM2.5)-induced cardiomyocyte damage and its underlying mechanisms remain unclear. METHODS: In vitro experiments, the H9C2 cells were subjected to pretreatment with varying concentrations of AST, and then cardiomyocyte injury model induced by PM2.5 was established. The cell viability and the ferroptosis-related proteins expression were measured in different groups. In vivo experiments, the rats were pretreated with different concentrations of AST for 21 days. Subsequently, a rat model of myocardial PM2.5 injury was established by intratracheal instillation every other day for 1 week. The effects of AST on myocardial tissue injury caused by PM2.5 indicating by histological, serum, and protein analyses were examined. RESULTS: AST significantly ameliorated PM2.5-induced myocardial tissue injury, inflammatory cell infiltration, the release of inflammatory factors, and cardiomyocyte H9C2 cell damage. Mechanistically, AST pretreatment increased the expression of SLC7A11, GPX4 and down-regulated the expression of TfR1, FTL and FTH1 in vitro and in vivo. CONCLUSIONS: Our study suggest that ferroptosis plays a significant role in the pathogenesis of cardiomyocyte injury induced by PM2.5. AST may serve as a potential therapeutic agent for mitigating cardiomyocyte injury caused by PM2.5 through the inhibition of ferroptosis.

Modulating Cation Migration and Deposition with Xylitol Additive and Oriented Reconstruction of Hydrogen Bonds for Stable Zinc Anodes.

Highly reversible plating/stripping in aqueous electrolytes is one of the critical processes determining the performance of Zn-ion batteries, but it is severely impeded by the parasitic side reaction and dendrite growth. Herein, a novel electrolyte engineering strategy is first proposed based on the usage of 100 mM xylitol additive, which inhibits hydrogen evolution reaction and accelerates cations migration by expelling active H2 O molecules and weakening electrostatic interaction through oriented reconstruction of hydrogen bonds. Concomitantly, xylitol molecules are preferentially adsorbed by Zn surface, which provides a shielding buffer layer to retard the sedimentation and suppress the planar diffusion of Zn2+ ions. Zn2+ transference number and cycling lifespan of Zn∥Zn cells have been significantly elevated, overwhelmingly larger than bare ZnSO4 . The cell coupled with a NaV3 O8 cathode still behaves much better than the additive-free device in terms of capacity retention.

Vascular benefits of vitamin C supplementation against fine particulate air pollution in healthy adults: A double-blind randomised crossover trial.

Evidence on the health benefits of vitamin C supplementation in highly polluted areas has not been evaluated. We aimed to evaluate whether dietary vitamin C supplementation can improve vascular health linked to particulate matter (PM) exposure. A randomised double-blind crossover trial involving 58 health young adults was performed in Shijiazhuang, China in 2018. All subjects were randomly assigned to the vitamin C supplementation group (2000 mg/d) or placebo group for a week alternating with a 2 week washout period. Fifteen circulating biomarkers were measured. Linear mixed-effect model was applied to evaluate the effect of vitamin C supplementation on health outcomes. The average concentrations of PM2.5 and PM10 were 164.91 and 327.05 µg/m3, respectively. Vitamin C supplementation was significantly associated with a 19.47% decrease in interleukin-6 (IL-6), 17.30% decrease in tumour necrosis factor-a (TNF-α), 34.01% decrease in C-reactive protein (CRP), 3.37% decrease in systolic blood pressure (SBP) and 6.03% decrease in pulse pressure (PP). Furthermore, glutathione peroxidase (GSH-Px) was significantly increased by 7.15%. Sex-subgroup analysis showed that vitamin C significantly reduced TNF-α by 27.85% in male participants and significantly increased APOB by 6.28% and GSH-Px by 14.47% only in female participants. This study indicated that vitamin C supplementation may protect vascular vessels against PM exposure among healthy young adults in China.

The antithrombosis effect of dehydroandrographolide succinate: in vitro and in vivo studies.

CONTEXT: Dehydroandrographolide succinate (DAS) is mainly used in the clinical treatment of various infectious diseases. Its potential effects on platelet aggregation and blood coagulation systems have not been reported systematically. OBJECTIVE: To explore whether DAS exerts an antithrombotic effect and its internal mechanism. MATERIALS AND METHODS: Human blood samples and Sprague-Dawley (SD) rats divided into control, aspirin (30 mg/kg), and DAS groups (200, 400 and 600 mg/kg) were used to measure the platelet aggregation rate, coagulation function, coagulation factor activity, and contents of thromboxane B2 (TXB2) and 6-keto-prostaglandin F1α (6-keto-PGF1α). The histopathology of the SD rat gastric mucosa was also observed. All rats were administered intragastric or intraperitoneal injections once a day for 3 consecutive days. RESULTS: Compared to control group, DAS significantly inhibited the platelet aggregation rate (ED50 = 386.9 mg/kg) by decreasing TXB2 levels (1531.95 ± 649.90 pg/mL to 511.08 ± 411.82 pg/mL) and activating antithrombin III (AT-III) (103.22 ± 16.22% to 146.46 ± 8.96%) (p < 0.05). In addition, DAS significantly enhanced the coagulation factors FV (304.12 ± 79.65% to 443.44 ± 75.04%), FVII (324.19 ± 48.03% to 790.66 ± 225.56%), FVIII (524.79 ± 115.47% to 679.92 ± 143.34%), FX (34.90 ± 7.40% to 102.76 ± 29.41%) and FXI (38.12 ± 10.33% to 65.47 ± 34.08%), increased the content of Fg (2.18 ± 0.39 to 3.61 ± 0.37 g/L), shorten the PT (10.42 ± 0.44 to 9.22 ± 0.21 s), APTT (16.43 ± 1.4 to 14.07 ± 0.75 s) and TT time (37.04 ± 2.13 to 32.68 ± 1.29 s) (p < 0.05), while the aspirin group showed no such effect on these items but showed reduced activity of FII (89.21 ± 21.72% to 61.83 ± 8.95%) and FVIII (524.79 ± 115.47% to 306.60 ± 29.96%) (p < 0.05). Histopathological changes showed aspirin-induced gastric mucosa haemorrhage and the protective effect of DAS in the gastric mucosa. CONCLUSIONS: DAS is more suitable than aspirin in thromboprophylaxis treatment, which provides a reliable theoretical and experimental basis for its clinical application.

Immunosuppressive MDSC and Treg signatures predict prognosis and therapeutic response in glioma.

Glioma, a complex and aggressive brain tumor, is characterized by dysregulated immune responses within the tumor microenvironment (TME). We conducted a comprehensive analysis to elucidate the roles of myeloid-derived suppressor cells (MDSCs) and regulatory T cells (Tregs) in glioma progression and their impact on the immune landscape. Using transcriptome data, we stratified glioma samples based on MDSC and Treg levels, revealing significant differences in patient survival probabilities. LASSO regression identified a gene panel associated with glioma prognosis, yielding a patient-specific risk score. Multivariate Cox regression confirmed the risk score's correlation with overall survival. An ISS (immune suppressive score) system assessed the immune landscape's impact on glioma progression and therapeutic response. Functional validation showed MDSC and Treg infiltration's relevance in glioma progression and immune modulation. Hub genes in the black module, including CCL2, LINC01503, CXCL8, CLEC2B, TIMP1, and RGS2, were identified through MCODE analysis. RGS2 expression correlated with immune cell populations and varied in glioma cells. This study sheds light on MDSCs' and Tregs' roles in glioma pathogenesis, suggesting their potential as prognostic biomarkers and therapeutic targets for personalized immunotherapeutic strategies in glioma treatment.

Injectable Thermo-Responsive Peptide Hydrogels and Its Enzyme Triggered Dynamic Self-Assembly.

Endogenous stimuli-responsive injectable hydrogels hold significant promise for practical applications due to their spatio-temporal controllable drug delivery. Herein, we report a facile strategy to construct a series of in situ formation polypeptide hydrogels with thermal responsiveness and enzyme-triggered dynamic self-assembly. The thermo-responsive hydrogels are from the diblock random copolymer mPEG-b-P(Glu-co-Tyr). The L-glutamic acid (Glu) segments with different γ-alkyl groups, including methyl, ethyl, and n-butyl, offer specific secondary structure, facilitating the formation of hydrogel. The L-tyrosine (Tyr) residues not only provide hydrogen-bond interactions and thus adjust the sol-gel transition temperatures, but also endow polypeptide enzyme-responsive properties. The PTyr segments could be phosphorylated, and the phosphotyrosine copolymers were amphiphilies, which could readily self-assemble into spherical aggregates and transform into sheet-like structures upon dephosphorylation by alkaline phosphatase (ALP). P(MGlu-co-Tyr/P) and P(MGlu-co-Tyr) copolymers showed good compatibility with both MC3T3-E1 and Hela cells, with cell viability above 80% at concentrations up to 1000 µg/mL. The prepared injectable polypeptide hydrogel and its enzyme-triggered self-assemblies show particular potential for biomedical applications.

CamoFormer: Masked Separable Attention for Camouflaged Object Detection.

How to identify and segment camouflaged objects from the background is challenging. Inspired by the multi-head self-attention in Transformers, we present a simple masked separable attention (MSA) for camouflaged object detection. We first separate the multi-head self-attention into three parts, which are responsible for distinguishing the camouflaged objects from the background using different mask strategies. Furthermore, we propose to capture high-resolution semantic representations progressively based on a simple top-down decoder with the proposed MSA to attain precise segmentation results. These structures plus a backbone encoder form a new model, dubbed CamoFormer. Extensive experiments show that CamoFormer achieves new state-of-the-art performance on three widely-used camouflaged object detection benchmarks. To better evaluate the performance of the proposed CamoFormer around the border regions, we propose to use two new metrics, i.e. BR-M and BR-F. There are on average  âˆ¼ 5% relative improvements over previous methods in terms of S-measure and weighted F-measure. Our code is available at https://github.com/HVision-NKU/CamoFormer.

Mechanistic photophysics of tellurium-substituted cytosine: Electronic structure calculations and nonadiabatic dynamics simulations.

Previously, the MS-CASPT2 method was performed to study the static and qualitative photophysics of tellurium-substituted cytosine (TeC). To get quantitative information, we used our recently developed QTMF-FSSH dynamics method to simulate the excited-state decay of TeC. The CASSCF method was adopted to reduce the calculation costs, which was confirmed to provide reliable structures and energies as those of MS-CASPT2. A detailed structural analysis showed that only 5% trajectories will hop to the lower triplet or singlet state via the twisted (S2 /S1 /T2 )T intersection, while 67% trajectories will choose the planar intersections of (S2 /S1 /T3 /T2 /T1 )P and (S2 /S1 /T2 /T1 )P but subsequently become twisted in other electronic states. By contrast, ~28% trajectories will maintain in a plane throughout dynamics. Electronic population revealed that the S2 population will ultrafast transfer to the lower triplet or singlet state. Later, the TeC system will populate in the spin-mixed electronic states composed of S1 , T1 and T2 . At the end of 300 fs, most trajectories (~74%) will decay to the ground state and only 17.4% will survive in the triplet states. Our dynamics simulation verified that tellurium substitution will enhance the intersystem crossings, but the very short triplet lifetime (ca. 125 fs) will make TeC a less effective photosensitizer.

Effects of Sesamin in Animal Models of Obesity-Associated Diseases: A Systematic Review and Meta-Analysis.

CONTEXT: As living standards have improved and lifestyles have undergone changes, metabolic diseases associated with obesity have become increasingly prevalent. It is well established that sesamin (Ses) (PubChem CID: 72307), the primary lignans in sesame seeds and sesame oil, possess antioxidant and anti-inflammatory effects. OBJECTIVE: In this study, a systematic review and meta-analysis of the effects of Ses on animal models of obesity-related diseases was performed to assess their impact on relevant disease parameters. Importantly, this study sought to provide insights for the design of future human clinical studies utilizing Ses as a nutritional supplement or drug. DATA SOURCES: This study conducted a comprehensive search in PubMed, Web of Science, Embase, Scopus, and the Cochrane Library, identifying English language articles published from inception to April 2023. DATA EXTRACTION: The search incorporated keywords such as "sesamin," "obesity," "non-alcoholic fatty liver disease," "type 2 diabetes mellitus," and "metabolic syndrome." The meta-analysis included 17 articles on non-alcoholic fatty liver disease, type 2 diabetes, and metabolic syndrome. DATA ANALYSIS: Overall, the pooled results demonstrated that Ses significantly reduced levels of total serum cholesterol (P = .010), total serum triglycerides (P = .003), alanine transaminase (P = .003), and blood glucose (P < .001), and increased high-density lipoprotein cholesterol levels (P = .012) in animal models of nonalcoholic fatty liver disease. In the type 2 diabetes model, Ses mitigated drug-induced weight loss (P < .001), high-fat-diet-induced weight gain (P < .001), and blood glucose levels (P = .001). In the metabolic syndrome model, Ses was associated with a significant reduction in body weight (P < .001), total serum cholesterol (P < .001), total serum triglycerides (P < .001), blood glucose (P < .001), and alanine transaminase levels (P = .039). CONCLUSION: The meta-analysis results of this study suggest that Ses supplementation yields favorable effects in animal models of obesity-related diseases, including hypolipidemic, insulin-lowering, and hypoglycemic abilities, as well as organ protection from oxidative stress and reduced inflammation. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration No. CRD42023438502.

Comprehensive analysis of paraspeckle-associated gene modules unveils prognostic signatures and immunological relevance in multi-cancers.

BACKGROUND: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, characterized by high rates of angiogenesis and immune evasion. Paraspeckle genes, involved in gene regulation and RNA metabolism, have recently been linked to tumor progression. This study aims to elucidate the relationship between paraspeckle genes and HCC prognosis, focusing on SFPQ, DDX39B, and UBAP2. METHODS: We analyzed HCC (LIHC) and prostate cancer (PRAD) samples from the TCGA database to explore the correlation between paraspeckle genes and angiogenesis. We conducted unsupervised clustering, risk scoring, and survival analysis to identify distinct patient groups and their clinical outcomes. Gene expression data were used to perform differential analysis and Gene Ontology (GO) enrichment. RESULTS: Our analysis identified significant correlations between paraspeckle genes and angiogenesis across multiple cancer types. Elevated expression levels of SFPQ, DDX39B, and UBAP2 were associated with poor prognosis in HCC patients, and all of them has statistical significance. Unsupervised clustering of HCC samples based on paraspeckle gene expression revealed two distinct clusters, with high-risk patients exhibiting stronger immune suppression and tumor immune evasion. GO enrichment highlighted critical pathways related to angiogenesis and immune regulation. Additionally, a risk scoring model based on these genes effectively distinguished high-risk and low-risk patient groups, providing valuable prognostic insights. CONCLUSION: This study demonstrates that SFPQ, DDX39B, and UBAP2 are significantly associated with poor prognosis in HCC, likely due to their roles in promoting angiogenesis and immune suppression. These findings highlight the potential of paraspeckle genes as prognostic biomarkers and therapeutic targets, offering new avenues for personalized treatment strategies in HCC. Further research into their functional mechanisms and clinical applicability is crucial for advancing HCC treatment and improving patient outcomes.

Flaxseed Oil Alleviates PFOS-Induced Liver Injury by Regulating Hepatic Cholesterol Metabolism.

Perfluorooctanesulfonate (PFOS) is a widespread, persistent environmental pollutant that exerts apparent liver toxicity. Flaxseed oil (FO), a dietary oil rich in α-linolenic acid, has been demonstrated to possess a diverse array of health benefits. However, whether FO protects against PFOS-induced liver injury and its underlying mechanisms remain unclear. C57/BL6 mice were orally treated with different concentrations of FO alone or in combination with 10 mg/kg of PFOS for 28 consecutive days. Blood and liver tissues were collected for proteomic, histopathological, biochemical, immunohistochemical, and molecular examinations. Results demonstrated that FO supplementation reduced PFOS-induced liver injury, as evidenced by a decrease in histopathological changes, serum transaminase (ALT and AST) levels, levels of oxidative stress, and inflammatory cytokine (TNF-α, IL-1ß, and IL-6) levels. Proteomic analyses showed that differentially expressed proteins were enriched in cholesterol metabolic pathways when comparing the PFOS group to the FO supplementation groups. The expression of cholesterol metabolism-related proteins was also subsequently measured, revealing that FO supplementation decreased the protein expressions of SREBP2, HMGCR, and LDLR while increasing the expression of CYP7A1. This study demonstrates that FO can alleviate PFOS-induced hepatotoxicity by regulating hepatic cholesterol metabolism, indicating that FO may serve as an effective dietary intervention for preventing liver injury caused by PFOS.

HSV-1-induced N6-methyladenosine reprogramming via ICP0-mediated suppression of METTL14 potentiates oncolytic activity in glioma.

Upon infection with herpes simplex virus 1 (HSV-1), the virus deploys multiple strategies to evade the host's innate immune response. However, the mechanisms governing this phenomenon remain elusive. Here, we find that HSV-1 leads to a decrease in overall m6A levels by selectively reducing METTL14 protein during early infection in glioma cells. Specifically, the HSV-1-encoded immediate-early protein ICP0 interacts with METTL14 within ND10 bodies and serves as an E3 ubiquitin protein ligase, targeting and ubiquitinating METTL14 at the lysine 156 and 162 sites. Subsequently, METTL14 undergoes proteasomal degradation. Furthermore, METTL14 stabilizes ISG15 mRNA mediated by IGF2BP3 to promote antiviral effects. Notably, METTL14 suppression significantly enhances the anti-tumor effect of oncolytic HSV-1 (oHSV-1) in mice bearing glioma xenografts. Collectively, these findings establish that ICP0-guided m6A modification controls the antiviral immune response and suggest that targeting METTL14/ISG15 represents a potential strategy to enhance the oncolytic activity of oHSV-1 in glioma treatment.