Chlorophyllase (PsCLH1) and light-harvesting chlorophyll a/b binding protein 1 (PsLhcb1) and PsLhcb5 maintain petal greenness in Paeonia suffruticosa 'Lv Mu Yin Yu'.

INTRODUCTION: Green flowers are not an adaptive trait in natural plants due to the challenge for pollinators to discriminate from leaves, but they are valuable in horticulture. The molecular mechanisms of green petals remain unclear. Tree peony (Paeonia suffruticosa) is a globally cultivated ornamental plant and considered the 'King of Flowers' in China. The P. suffruticosa 'Lv Mu Yin Yu (LMYY)' cultivar with green petals could be utilized as a representative model for understanding petal-specific chlorophyll (Chl) accumulation and color formation. OBJECTIVES: Identify the key genes related to Chl metabolism and understand the molecular mechanism of petal color changes. METHODS: The petal color parameter was analyzed at five developmental stages using a Chroma Spectrophotometer, and Chl and anthocyanin accumulation patterns were examined. Based on comparative transcriptomes, differentially expressed genes (DEGs) were identified, among which three were functionally characterized through overexpression in tobacco plants or silencing in 'LMYY' petals. RESULTS: During flower development and blooming, flower color changed from green to pale pink, consistent with the Chl and anthocyanin levels. The level of Chl demonstrated a similar pattern with petal epidermal cell striation density. The DEGs responsible for Chl and anthocyanin metabolism were characterized through a comparative transcriptome analysis of flower petals over three critical developmental stages. The key chlorophyllase (PsCLH1) and light-harvesting chlorophyll a/b binding protein 1 (PsLhcb1) and PsLhcb5 influenced the Chl accumulation and the greenness of 'LMYY' petals. CONCLUSION: PsCLH1, PsLhcb1, and PsLhcb5 were critical in accumulating the Chl and maintaining the petal greenness. Flower color changes from green to pale pink were regulated by the homeostasis of Chl degradation and anthocyanin biosynthesis. This study offers insights into underlying molecular mechanisms in the green petal and a strategy for germplasm innovation.

Frequency-specific dual-attention based adversarial network for blood oxygen level-dependent time series prediction.

Functional magnetic resonance imaging (fMRI) is currently one of the most popular technologies for measuring brain activity in both research and clinical contexts. However, clinical constraints often result in short fMRI scan durations, limiting the diagnostic performance for brain disorders. To address this limitation, we developed an end-to-end frequency-specific dual-attention-based adversarial network (FDAA-Net) to extend the time series of existing blood oxygen level-dependent (BOLD) data, enhancing their diagnostic utility. Our approach leverages the frequency-dependent nature of fMRI signals using variational mode decomposition (VMD), which adaptively tracks brain activity across different frequency bands. We integrated the generative adversarial network (GAN) with a spatial-temporal attention mechanism to fully capture relationships among spatially distributed brain regions and temporally continuous time windows. We also introduced a novel loss function to estimate the upward and downward trends of each frequency component. We validated FDAA-Net on the Human Connectome Project (HCP) database by comparing the original and predicted time series of brain regions in the default mode network (DMN), a key network activated during rest. FDAA-Net effectively overcame linear frequency-specific challenges and outperformed other popular prediction models. Test-retest reliability experiments demonstrated high consistency between the functional connectivity of predicted outcomes and targets. Furthermore, we examined the clinical applicability of FDAA-Net using short-term fMRI data from individuals with autism spectrum disorder (ASD) and major depressive disorder (MDD). The model achieved a maximum predicted sequence length of 40% of the original scan durations. The prolonged time series improved diagnostic performance by 8.0% for ASD and 11.3% for MDD compared with the original sequences. These findings highlight the potential of fMRI time series prediction to enhance diagnostic power of brain disorders in short fMRI scans.

Fully Synthetic TF-Based Self-Adjuvanting Vaccine Simultaneously Triggers iNKT Cells and Mincle and Protects Mice against Tumor Development.

The Thomsen-Friedenreich (TF) antigen has proven to be a promising target for developing novel therapeutic cancer vaccines. Here, a new strategy that TF antigen covalently coupled with KRN7000 and vizantin was developed. The resulting three-component vaccine KRN7000-TF-vizantin simultaneously triggers invariant natural killer T (iNKT) cells and macrophage-inducible C-type lectin (Mincle) signaling pathways, eliciting much stronger TF-specific immune responses than glycoprotein vaccine TF-KLH/alum and the corresponding two-component conjugate vaccines TF-KRN7000 and TF-vizantin. The analysis of IgG isotypes and the secretion of cytokines revealed that KRN7000-TF-vizantin induced Th1/Th2 mixed immune responses, where Th1 was dominant. In vivo experiments demonstrated that KRN7000-TF-vizantin increased the survival rate and survival time of tumor-challenged mice, and surviving mice rejected further tumor attacks without any additional treatment. This work demonstrates that covalently coupled KRN7000 and vizantin could serve as a promising TF-based vaccine carrier for antitumor immune therapy, and KRN7000-TF-vizantin features great potential to be a vaccine candidate.

CEP112 coordinates translational regulation of essential fertility genes during spermiogenesis through phase separation in humans and mice.

Spermiogenesis, the complex transformation of haploid spermatids into mature spermatozoa, relies on precise spatiotemporal regulation of gene expression at the post-transcriptional level. The mechanisms underlying this critical process remain incompletely understood. Here, we identify centrosomal protein 112 (CEP112) as an essential regulator of mRNA translation during this critical developmental process. Mutations in CEP112 are discovered in oligoasthenoteratospermic patients, and Cep112-deficient male mice recapitulate key phenotypes of human asthenoteratozoospermia. CEP112 localizes to the neck and atypical centrioles of mature sperm and forms RNA granules during spermiogenesis, enriching target mRNAs such as Fsip2, Cfap61, and Cfap74. Through multi-omics analyses and the TRICK reporter assay, we demonstrate that CEP112 orchestrates the translation of target mRNAs. Co-immunoprecipitation and mass spectrometry identify CEP112's interactions with translation-related proteins, including hnRNPA2B1, EEF1A1, and EIF4A1. In vitro, CEP112 undergoes liquid-liquid phase separation, forming condensates that recruit essential proteins and mRNAs. Moreover, variants in patient-derived CEP112 disrupt phase separation and impair translation efficiency. Our results suggest that CEP112 mediates the assembly of RNA granules through liquid-liquid phase separation to control the post-transcriptional expression of fertility-related genes. This study not only clarifies CEP112's role in spermatogenesis but also highlights the role of phase separation in translational regulation, providing insights into male infertility and suggesting potential therapeutic targets.

Evaluation of physicochemical characteristics, bioactivity, flavor profile and key metabolites in the fermentation of goji juice by Lacticaseibacillus rhamnosus.

This study aimed to investigate the changes in physicochemical properties, bioactivities and metabolites of fermented goji juice (FGJ) by Lacticaseibacillus rhamnosus at different fermentation stages. The results showed that Lacticaseibacillus rhamnosus fermentation significantly decreased the content of soluble protein, total phenolic, total flavonoid and total sugar. Meanwhile, the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging ability and the inhibition rate of xanthine oxidase (XOD) activity were remarkably enhanced by Lacticaseibacillus rhamnosus fermentation. Flavor profiles analysis indicated that FGJ produced novel volatile compounds such as 4-methylpentanol and 2-butanol, which provide its distinct aroma. The non-targeted metabolomics analysis showed that the differential metabolites in the FGJ28 vs. FGJ0 group were mainly included 1,7-bis (3,4-dihydroxyphenyl) heptan-3-yl acetate, isoplumbagin, triacetylresveratrol, sulochrin, indole-3-acetaldehyde, etc., which might have an effect on the promotion of the bioactivity of goji juice. These findings will contribute to understanding the biotransformation effect of Lacticaseibacillus rhamnosus fermentation on goji juice.

Deciphering the Mystery in p300 Taz2-p53 TAD2 Recognition.

Intrinsically disordered proteins (IDPs) engage in various fundamental biological activities, and their behavior is of particular importance for a better understanding of the verbose but well-organized signal transduction in cells. IDPs exhibit uniquely paradoxical features with low affinity but simultaneously high specificity in recognizing their binding targets. The transcription factor p53 plays a crucial role in cancer suppression, carrying out some of its biological functions using its disordered regions, such as N-terminal transactivation domain 2 (TAD2). Exploration of the binding and unbinding processes between proteins is challenging, and the inherently disordered properties of these regions further complicate the issue. Computer simulations are a powerful tool to complement the experiments to fill gaps to explore the binding/unbinding processes between proteins. Here, we investigated the binding mechanism between p300 Taz2 and p53 TAD2 through extensive molecular dynamics (MD) simulations using the physics-based UNited RESidue (UNRES) force field with additional Go̅-like potentials. Distance restraints extracted from the NMR-resolved structures were imposed on intermolecular residue pairs to accelerate binding simulations, in which Taz2 was immobilized in a native-like conformation and disordered TAD2 was fully free. Starting from six structures with TAD2 placed at different positions around Taz2, we observed a metastable intermediate state in which the middle helical segment of TAD2 is anchored in the binding pocket, highlighting the significance of the TAD2 helix in directing protein recognition. Physics-based binding simulations show that successful binding is achieved after a series of stages, including (1) protein collisions to initiate the formation of encounter complexes, (2) partial attachment of TAD2, and finally (3) full attachment of TAD2 to the correct binding pocket of Taz2. Furthermore, machine-learning-based PathDetect-SOM was used to identify two binding pathways, the encounter complexes, and the intermediate states.

Fully automated classification of pulmonary nodules in positron emission tomography-computed tomography imaging using a two-stage multimodal learning approach.

Background: Lung cancer is a malignant tumor, for which pulmonary nodules are considered to be significant indicators. Early recognition and timely treatment of pulmonary nodules can contribute to improving the survival rate of patients with cancer. Positron emission tomography-computed tomography (PET/CT) is a noninvasive, fusion imaging technique that can obtain both functional and structural information of lung regions. However, studies of pulmonary nodules based on computer-aided diagnosis have primarily focused on the nodule level due to a reliance on the annotation of nodules, which is superficial and unable to contribute to the actual clinical diagnosis. The aim of this study was thus to develop a fully automated classification framework for a more comprehensive assessment of pulmonary nodules in PET/CT imaging data. Methods: We developed a two-stage multimodal learning framework for the diagnosis of pulmonary nodules in PET/CT imaging. In this framework, Stage I focuses on pulmonary parenchyma segmentation using a pretrained U-Net and PET/CT registration. Stage II aims to extract, integrate, and recognize image-level and feature-level features by employing the three-dimensional (3D) Inception-residual net (ResNet) convolutional block attention module architecture and a dense-voting fusion mechanism. Results: In the experiments, the proposed model's performance was comprehensively validated using a set of real clinical data, achieving mean scores of 89.98%, 89.21%, 84.75%, 93.38%, 86.83%, and 0.9227 for accuracy, precision, recall, specificity, F1 score, and area under curve values, respectively. Conclusions: This paper presents a two-stage multimodal learning approach for the automatic diagnosis of pulmonary nodules. The findings reveal that the main reason for limiting model performance is the nonsolitary property of nodules in pulmonary nodule diagnosis, providing direction for future research.

Expression and clinical significance of U2AF homology motif kinase 1 in oral squamous cell carcinoma.

OBJECTIVE: U2AF homology motif kinase 1 (UHMK1) is a newly discovered molecule that may have multiple functions. Recent studies have revealed that UHMK1 had aberrant expression in many tumors and was associated with tumor progression. However, UHMK1 was rarely reported in oral squamous cell carcinoma (OSCC). STUDY DESIGN: In this study, Western blot, quantitative real-time polymerase chain reaction (PCR), and immunohistochemistry were used to detect the expression of UHMK1 in OSCC and peritumoral non-neoplastic tissues. Then, its relationship with clinicopathologic parameters was analyzed. The Kaplan-Meier method and Cox regression model were used to analyze the effects of UHMK1 expression on the prognosis and survival of OSCC patients. RESULTS: Our results showed that UHMK1 had higher expression in OSCC tissues compared with in peritumoral non-neoplastic tissues, and its high expression was associated with high TNM stage and lymph node metastasis. High UHMK1 expression was related to short overall and disease-free survival times. Moreover, UHMK1 expression was identified as an independent prognostic factor that influences overall and disease-free survival of OSCC patients. CONCLUSIONS: High expression of UHMK1 is associated with the poor prognosis of patients, and it can be used as a potential prognostic molecule for OSCC.

The Causal Effect of Serum Lipid Levels Mediated by Neuregulin 4 on the Risk of Four Atherosclerosis Subtypes: Evidence from Mendelian Randomization Analysis.

Background: Neuregulin 4 (NRG4) was known to be associated with serum lipid levels and atherosclerosis. However, it is unknown whether the role of NRG4 in lipid homeostasis is causal to atherosclerosis and whether the effect is beneficial across different atherosclerosis subtypes. Methods: We investigated the causal role of the levels of serum low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides regulated by NRG4 in subtypes of atherosclerosis through two sample Mendelian randomization. Aggregated genome-wide association study (GWAS) summary data for serum lipid level of 1.32 million individuals with European ancestry were obtained from the Global Lipids Genetics Consortium. GWAS summary data for four atherosclerosis subtypes (peripheral, coronary, cerebral and the other atherosclerosis) were obtained from FinnGen Consortium. Generalized inverse-variance-weighted Mendelian randomization and several sensitivity analyses were used to obtain the causal estimates. Results: A 1-SD genetically elevated LDL-C level mediated by NRG4 was validated to be nominally associated with the risk of peripheral atherosclerosis (log (odds ratio)= 4.14, 95% confidence interval 0.11 to 8.17, P = 0.04), and the other associations were not significant or could not be validated by sensitivity analyses. Conclusion: LDL-C lowering mediated by NRG4 is likely to prevent peripheral atherosclerosis.

Mental health difficulties and related factors in Chinese children and adolescents during the COVID-19 pandemic: a cross-sectional study

Abstract Objective: To examine the mental health status and related factors in children and adolescents, and to assess age groups and sexes differences in factors influencing mental health. Methods: This cross-sectional study was performed on Chinese children aged 6-18 years from November 2021 to January 2022. Mental health difficulties were accessed by the Strengths and Difficulties Questionnaire. Multivariate logistic regression was used to analyze factors associated with mental health status. Multiple linear regression was used to evaluate factors associated with the scores of the Strengths and Difficulties Questionnaire. Results: The prevalence of mental health difficulties was 12.98% (n =1348). Age (OR, 0.909, [95%CI, 0.830-0.996]), sex (OR, 1.424, [95%CI, 1.033-1.963]) and screen time on weekdays ("≥2" h/d vs "< 1" h/d: OR, 2.001, [95%CI, 1.300-3.080]) were related factors for mental health difficulties. For children (year ≤ 12), the strongest related factor for mental health difficulties was screen time on weekdays ("≥ 2" h/d vs "< 1" h/d: OR, 1.821 [95%CI, 1.203-2.755]). The risk of mental health difficulties in females with ≥ 2 h/d screen time on weekends was 3.420 times higher than those with < 1 h/d (OR, 3.420, [95%CI, 1.923-6.081]). Conclusion: The prevalence of mental health difficulties among children and adolescents was relatively high. The lower age, female sex and excessive screen time were associated with a higher risk of mental health difficulties. The factors influencing mental health varied by different age groups and sexes. Thus, specific measures for different age groups and sexes should be adopted to mitigate the impact.

Maternal dietary patterns during pregnancy and birth weight: a prospective cohort study.

BACKGROUND: Existing data on maternal dietary patterns and birth weight remains limited and inconsistent, especially in non-Western populations. We aimed to examine the relationship between maternal dietary patterns and birth weight among a cohort of Chinese. METHODS: In this study, 4,184 mother-child pairs were included from the Iodine Status in Pregnancy and Offspring Health Cohort. Maternal diet during pregnancy was evaluated using a self-administered food frequency questionnaire with 69 food items. Principal component analysis was used to identify dietary patterns. Information on birth weight and gestational age was obtained through medical records. Adverse outcomes of birth weight were defined according to standard clinical cutoffs, including low birth weight, macrosomia, small for gestational age, and large for gestational age. RESULTS: Three maternal dietary patterns were identified: plant-based, animal-based, and processed food and beverage dietary patterns, which explained 23.7% variance in the diet. In the multivariate-adjusted model, women with higher adherence to the plant-based dietary patten had a significantly higher risk of macrosomia (middle tertile vs. low tertile: odds ratio (OR) 1.45, 95% CI 1.00-2.10; high tertile vs. low tertile: OR 1.55, 95% CI 1.03-2.34; P-trend = 0.039). For individual food groups, potato intake showed positive association with macrosomia (high tertile vs. low tertile: OR 1.72, 95% CI 1.20-2.47; P-trend = 0.002). Excluding potatoes from the plant-based dietary pattern attenuated its association with macrosomia risk. No significant associations was observed for the animal-based or processed food and beverage dietary pattern with birth weight outcomes. CONCLUSIONS: Adherence to a plant-based diet high in carbohydrate intake was associated with higher macrosomia risk among Chinese women. Future studies are required to replicate these findings and explore the potential mechanisms involved.

Cognitive Benefits of Folic Acid, Docosahexaenoic Acid, and a Combination of Both Nutrients in Mild Cognitive Impairment: Possible Alterations through Mitochondrial Function and DNA Damage.

INTRODUCTION: It is uncertain whether folic acid (FA) combined with docosahexaenoic acid (DHA) could improve cognitive performance. This study evaluated the effects of a 12-month FA and DHA supplementation, in combination or alone, on cognitive function, DNA oxidative damage, and mitochondrial function in participants with mild cognitive impairment (MCI). METHODS: This randomized, double-blind, placebo-controlled trial recruited MCI participants aged 60 years and older. Two hundred and eighty participants were randomly divided in equal proportion into four groups: FA + DHA (FA 800 µg/d + DHA 800 mg/d), FA (800 µg/d), DHA (800 mg/d), and placebo groups daily orally for 12 months. The primary outcome was cognitive function evaluated by the Wechsler Adult Intelligence Scale-Revised (WAIS-RC). Cognitive tests and blood mechanism-related biomarkers were determined at baseline and 12 months. RESULTS: During the 12-month follow-up, scores of full intelligence quotient (ßDHA: 1.302, 95% CI: 0.615, 1.990, p < 0.001; ßFA: 1.992, 95% CI: 1.304, 2.679, p < 0.001; ßFA+DHA: 2.777, 95% CI: 2.090, 3.465, p < 0.001), verbal intelligence quotient, and some subtests of the WAIS-RC were significantly improved in FA + DHA and single intervention groups compared to the placebo group. Moreover, the FA and DHA intervention combination was superior to either intervention alone (p < 0.001). Meanwhile, FA, DHA, and their combined use significantly decreased 8-OHdG level and increased mitochondrial DNA copy number compared to the placebo (p < 0.05). CONCLUSIONS: Supplementation of FA and DHA, alone or combined, for 12 months can improve cognitive function in MCI participants, possibly through mitigating DNA oxidative damage and enhancing mitochondrial function. Combined supplementation may provide more cognitive benefit than supplementation alone.

The phosphorylation of a WD40-repeat protein negatively regulates flavonoid biosynthesis in Camellia sinensis under drought stress.

Flavonoids constitute the main nutraceuticals in the leaves of tea plants (Camellia sinensis). To date, although it is known that drought stress can negatively impact the biosynthesis of flavonoids in tea leaves, the mechanism behind this phenomenon is unclear. Herein, we report a protein phosphorylation mechanism that negatively regulates the biosynthesis of flavonoids in tea leaves in drought conditions. Transcriptional analysis revealed the downregulation of gene expression of flavonoid biosynthesis and the upregulation of CsMPK4a encoding a mitogen-activated protein kinase in leaves. Luciferase complementation and yeast two-hybrid assays disclosed that CsMPK4a interacted with CsWD40. Phosphorylation assay in vitro, specific protein immunity, and analysis of protein mass spectrometry indicated that Ser-216, Thr-221, and Ser-253 of CsWD40 were potential phosphorylation sites of CsMPK4a. Besides, the protein immunity analysis uncovered an increased phosphorylation level of CsWD40 in tea leaves under drought conditions. Mutation of the three phosphorylation sites generated dephosphorylated CsWD403A and phosphorylated CsWD403D variants, which were introduced into the Arabidopsis ttg1 mutant. Metabolic analysis showed that the anthocyanin and proanthocyanidin content was lower in ttg1:CsWD403D transgenic plants than ttg1::CsWD403A transgenic and wild type plants. The transient overexpression of CsWD403D downregulated the anthocyanidin biosynthesis in tea leaves. The dual-fluorescein protein complementation experiment showed that CsWD403D did not interact with CsMYB5a and CsAN2, two key transcription factors of procyanidins and anthocyanidins biosynthesis in tea plant. These findings indicate that the phosphorylation of CsWD40 by CsMPK4a downregulates the flavonoid biosynthesis in tea plants in drought stresses.

Prognostic significance of serum Chemerin and neutrophils levels in patients with oral squamous cell carcinoma.

Objectives: Chemerin, as a novel multifunctional adipokine, is proposed to be involved in high cancer risk and mortality. The present study was aimed to evaluate the prognostic value of serum Chemerin and neutrophils in patients with oral squamous cell carcinoma (OSCC). Materials and methods: 120 patients with OSCC were included in this prospective cohort study. The levels of serum Chemerin were measured by enzyme-linked immunosorbent assay (ELISA). We also explored the possible effects of Chemerin on neutrophils' chemokines in OSCC using a real-time PCR, western blotting. Results: Levels of serum Chemerin, neutrophils and NLR were significantly higher among non-survivors compared to survivors of OSCC (both P < 0.05). Higher serum Chemerin levels were associated with advanced TNM stage, lymph node metastasis, differentiation and tumor recurrence (both P < 0.05). Serum Chemerin levels correlated with neutrophils and NLR levels (r = 0.708, r = 0.578, both P < 0.05). Based on ROC analysis, Chemerin + NLR predicted OSCC patient mortality with 81.54 % sensitivity and 87.27 % specificity, with an AUC of 0.8898. In a Kaplan-Meier analysis, high serum Chemerin levels, high neutrophil levels and high NLR levels were associated with shorter overall and disease-free survival (both P < 0.05). A univariate and multivariate Cox regression analysis showed that serum Chemerin and neutrophils were independent risk factors for OSCC. (both P < 0.05). QRT-PCR and western blotting results showed that Chemerin upregulated the expression of chemokines IL-17 and CXCL-5 in neutrophils (both P < 0.05). Conclusions: Our study suggests that measurement of serum Chemerin and neutrophils might be a useful diagnostic and prognostic biomarker for OSCC patients. Chemerin may promote neutrophils infiltration in OSCC through upregulation of chemokines IL17 and CXCL-5.

RNA editing landscape of adipose tissue in polycystic ovary syndrome provides insight into the obesity-related immune responses.

Background: Polycystic ovary syndrome (PCOS) is the most common reproductive-endocrine disorder with wide-ranging metabolic implications, including obesity. RNA editing, a post-transcriptional modification, can fine-tune protein function and introduce heterogeneity. However, the role of RNA editing and its impact on adipose tissue function in PCOS remain poorly understood. Methods: This study aimed to comprehensively analyze RNA-editing events in abdominal and subcutaneous adipose tissue of PCOS patients and healthy controls using high-throughput whole-genome sequencing (WGS) and RNA sequencing. Results: Our results revealed that PCOS patients exhibited more RNA-editing sites, with adenosine-to-inosine (A-to-I) editing being prevalent. The expression of ADAR genes, responsible for A-to-I editing, was also higher in PCOS. Aberrant RNA-editing sites in PCOS adipose tissue was enriched in immune responses, and interleukin-12 biosynthetic process. Tumor necrosis factor (TNF) signaling, nuclear factor kappa B (NF-κB) signaling, Notch signaling, terminal uridylyl transferase 4 (TUT4), hook microtubule tethering protein 3 (HOOK3), and forkhead box O1 (FOXO1) were identified to be of significant differences. Differentially expressed genes (DEGs) in PCOS adipose tissue were enriched in immune responses compared with controls, and the DEGs between subcutaneous and abdominal adipose tissue were also enriched in immune responses suggesting the important role of subcutaneous adipose tissue. Furthermore, we identified the correlations between RNA editing levels and RNA expression levels of specific genes, such as ataxia-telangiectasia mutated (ATM) and mucosa-associated lymphoid tissue lymphoma translocation protein 1 (MALT1) in inflammation pathways and ATM, TUT4, and YTH N6-methyladenosine RNA-binding protein C2 (YTHDC2) in oocyte development pathway. Conclusions: These findings suggest that RNA-editing dysregulation in PCOS adipose tissue may contribute to inflammatory dysregulations. Understanding the interplay between RNA editing and adipose tissue function may unveil potential therapeutic targets for PCOS management. However, further research and validation are required to fully elucidate the molecular mechanisms underlying these associations.

Energy-saving hydrogen production by seawater electrolysis coupling tip-enhanced electric field promoted electrocatalytic sulfion oxidation.

Hydrogen production by seawater electrolysis is significantly hindered by high energy costs and undesirable detrimental chlorine chemistry in seawater. In this work, energy-saving hydrogen production is reported by chlorine-free seawater splitting coupling tip-enhanced electric field promoted electrocatalytic sulfion oxidation reaction. We present a bifunctional needle-like Co3S4 catalyst grown on nickel foam with a unique tip structure that enhances the kinetic rate by improving the current density in the tip region. The assembled hybrid seawater electrolyzer combines thermodynamically favorable sulfion oxidation and cathodic seawater reduction can enable sustainable hydrogen production at a current density of 100 mA cm-2 for up to 504 h. The hybrid seawater electrolyzer has the potential for scale-up industrial implementation of hydrogen production by seawater electrolysis, which is promising to achieve high economic efficiency and environmental remediation.

Causalized Convergent Cross Mapping and Its Implementation in Causality Analysis.

Rooted in dynamic systems theory, convergent cross mapping (CCM) has attracted increased attention recently due to its capability in detecting linear and nonlinear causal coupling in both random and deterministic settings. One limitation with CCM is that it uses both past and future values to predict the current value, which is inconsistent with the widely accepted definition of causality, where it is assumed that the future values of one process cannot influence the past of another. To overcome this obstacle, in our previous research, we introduced the concept of causalized convergent cross mapping (cCCM), where future values are no longer used to predict the current value. In this paper, we focus on the implementation of cCCM in causality analysis. More specifically, we demonstrate the effectiveness of cCCM in identifying both linear and nonlinear causal coupling in various settings through a large number of examples, including Gaussian random variables with additive noise, sinusoidal waveforms, autoregressive models, stochastic processes with a dominant spectral component embedded in noise, deterministic chaotic maps, and systems with memory, as well as experimental fMRI data. In particular, we analyze the impact of shadow manifold construction on the performance of cCCM and provide detailed guidelines on how to configure the key parameters of cCCM in different applications. Overall, our analysis indicates that cCCM is a promising and easy-to-implement tool for causality analysis in a wide spectrum of applications.

Trace Iron-Doped Nickel-Cobalt selenide with rich heterointerfaces for efficient overall water splitting at high current densities.

Developing bifunctional electrocatalysts based on non-precious metals for overall water splitting, while maintaining high catalytic activity and stability under high current densities, remains challenging. Herein, we successfully constructred trace iron-doped nickel-cobalt selenide with abundant CoSe2 (210)-Ni3Se4 (202) heterointerfaces via a simple one-step selenization reaction. The synthesized Fe-NiCoSex/NCFF (NCFF stands for nickel-cobalt-iron foam) exhibits outstanding hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) activity with low overpotentials of 328 mV for HER and 345 mV for OER at a high current density of 1000 mA cm-2, while maintaining stability for over 20 h. Additionally, the Fe-NiCoSex/NCFF exhibits the lowest Tafel slope values for both HER (33.7 mV dec-1) and OER (55.92 mV dec-1), indicating the fastest kinetics on its surface. The Fe-NiCoSex/NCFF features uniformly distributed micrometer-sized selenide particles with dense nanowires on their surface, providing a large reactive surface area and abundant active sites. Moreover, X-ray photoelectron spectroscopy (XPS) and transmission electron microscopy (TEM) analyses reveal that the catalyst is composed of nickel, cobalt, and iron, forming micrometer-sized particles with both crystalline and amorphous phases, thereby enhancing HER and OER performance under high current density. Density functional theory (DFT) calculations demonstrate that the heterostructure CoSe2 (210)-Ni3Se4 (202), with high electron density and suitable adsorption capacity for reaction intermediates, and low energy barriers for HER (-0.384 eV) and OER (ΔG1st: 0.243 eV, ΔG2nd: 0.376 eV), serves as an active center for both HER and OER.

Evolutionarily conserved 12-oxophytodienoate reductase trans-lncRNA pair affects disease resistance in tea (Camellia sinensis) via the jasmonic acid signaling pathway.

Long non-coding RNAs (lncRNAs) have gathered significant attention due to their pivotal role in plant growth, development, and biotic and abiotic stress resistance. Despite this, there is still little understanding regarding the functions of lncRNA in these domains in the tea plant (Camellia sinensis), mainly attributable to the insufficiencies in gene manipulation techniques for tea plants. In this study, we designed a novel strategy to identify evolutionarily conserved trans-lncRNA (ECT-lncRNA) pairs in plants. We used highly consistent base sequences in the exon-overlapping region between trans-lncRNAs and their target gene transcripts. Based on this method, we successfully screened 24 ECT-lncRNA pairs from at least two or more plant species. In tea, as observed in model plants such as Arabidopsis, alfalfa, potatoes, and rice, there exists a trans-lncRNA capable of forming an ECT-lncRNA pair with transcripts of the 12-oxophytodienoate reductase (OPR) family, denoted as the OPRL/OPR pair. Considering evolutionary perspectives, the OPRL gene cluster in each species likely originates from a replication event of the OPR gene cluster. Gene manipulation and gene expression analysis revealed that CsOPRL influences disease resistance by regulating CsOPR expression in tea plants. Furthermore, the knockout of StOPRL1 in Solanum tuberosum led to aberrant growth characteristics and strong resistance to fungal infection. This study provides insights into a strategy for the screening and functional verification of ECT-lncRNA pairs.