Huanggang Normal University

Omega-3 polyunsaturated fatty acids (PUFAs) are known to modulate inflammatory signaling and enhance muscle recovery from exercise-induced stress. In this work, a meta-analysis was conducted that adhered to the PRISMA 2020 criteria, incorporating evidence from 41 randomized controlled trials on eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) supplementation, all of which had been conducted as evidence between 2011 and 2025 and evaluated the effects of EPA and DHA supplementation on the primary markers of the impact of exercise on inflammation and muscle injury, including the random-effects model with moderator dose, intervention duration, sex, and training status. The integrated findings showed that interleukin-6, tumor necrosis factor-α, creatine kinase, and delayed-onset muscle soreness (standardized mean difference = -0.4 to -0.7) were significantly and moderately reduced, indicating a uniform response to omega-3 supplementation's anti-inflammatory and recovery-promoting effects. C-reactive protein responses were more dispersed, suggesting that baseline inflammation differed and that the sampling protocols did as well. Subgroup analyses showed that doses of 2 g/day or more of mixed EPA + DHA, with a minimum duration of 6 weeks of administration, produced the strongest effects, especially among recreational athletes rather than elite athletes. Mechanistically, nuclear factor-kappa B activation and the ensuing synthesis of specialized pro-resolving mediators (resolvins, protectins, and maresins), as well as an increase in cellular antioxidant capacity, appear to be moderated by omega-3 supplementation and support efficient resolution of inflammation and tissue repair. These results form a body of evidence over more than 10 years, showing that omega-3 fatty acids are a strong, evidence-based nutritional tool for reducing the effects of post-exercise inflammation, supporting functional recovery, and sustaining long-term athletic performance.

Global oilseed markets have become increasingly volatile due to climate, geopolitical, and trade disruptions, intensifying uncertainty in China's rapeseed supply chain. Using micro-level survey data from 863 rapeseed-producing households (2022-2023, National Rapeseed Industry Technology System), this study examines how market price expectations and agricultural subsidies jointly shape farmers' rapeseed acreage decisions. An ordered Probit model serves as the baseline, complemented by a Multivalued Treatment Effect (MTE) model and a Conditional Mixed Process (CMP) estimator to address selection and endogeneity. Expectations are proxied by the gap between the minimum acceptable price and the realized selling price, and robustness checks use alternative expectation proxies, subsidy-type disaggregation, continuous acreage changes, and regional subsamples. Results show that optimistic expectations significantly increase the likelihood of acreage expansion, while higher subsidy intensity weakens this marginal incentive; the negative interaction remains in alternative specifications. These findings imply that support policies should balance income stabilization with market responsiveness, and that improved price information and risk-management tools can strengthen farmers' adaptive capacity under uncertainty.

While homologous recombination deficiency (HRD) presents therapeutic opportunities in endometrial cancer (EC), its molecular determinants and clinical implications remain poorly characterized. Through genomic analysis of 688 cancer-related genes combined with genomic scar assessment, we investigated HRD molecular features and clinical relevance of HRD across three cohorts: an EC cohort from Sun Yat-sen University Cancer Center (SYSUCC, n = 114), the Cancer Genome Atlas EC cohort (n = 500), and a high-grade serous ovarian cancer (HGSOC) cohort (n = 118). HRD was identified in 23.7% of SYSUCC EC cases, and HRD tumors paradoxically had fewer short-nucleotide variations in HRR genes than proficient (HRP) tumors (18.52% vs. 48.28%, P = 0.007). Mechanistic analysis revealed large-scale transition (LST) losses as the potential predominant HRD driver in EC, occurring significantly more frequently in HRD versus HRP tumors (74.1% vs 5.7%; P < 0.001). Comparative genomics demonstrated enrichment of HRR gene LST losses was EC-specific, contrasting with HGSOC where LST distribution was HRD-independent. Clinically, elevated HRD scores predicted reduced progression-free survival (HR 1.74, 95% CI 1.03-2.94; P = 0.04) yet enhanced platinum sensitivity (HR 0.41, 95% CI 0.18-0.94; P = 0.034). Our findings indicate that the HRD phenotype in EC, driven primarily by LST losses rather than short-nucleotide variations, serves as both a prognostic and predictive biomarker.

The organic-rich shales of the Upper Ordovician–Lower Silurian Renheqiao Formation in Yunnan, China, represent a valuable target for understanding marine hydrocarbon systems and offshore oil and gas exploration. To decipher its organic matter (OM) accumulation patterns and offer perspectives relevant to the assessment of marine resources, this study employs an integrated petroleum geological, sedimentological, and palynological approach. Our findings indicate that organic-rich intervals (cumulative thickness 74–84.5 m) are concentrated in the R1–lower R6 and upper R6–R9 graptolite biozones, exhibiting high total organic carbon (TOC) content and graptolite reflectance values indicative of high to post-maturity thermal evolution, which confirms significant shale gas potential. Sedimentary evolution shows broad similarities with the Yangtze region’s Longmaxi Formation but with finer-scale differences. Due to its restricted paleogeographic setting on the Sibumasu Block, the Baoshan region responded to global sea-level changes with a lag, favoring sustained OM accumulation. Palynological analysis identified microphytoplankton, acritarchs, macroalgae, and animal-derived OM. Hydrocarbon-generating assemblages are divided into three stages: the first (R1–lower R6) and third (upper R6–R9) stages are favorable intervals with high TOC, dominated by microphytoplankton and acritarchs; the second stage (middle R6) shows lower enrichment, with increased macroalgae/animal-derived debris. Our analysis indicates that high abundances of primary producers (microphytoplankton/acritarchs) are strongly associated with organic enrichment. In contrast, higher abundances of secondary consumers (e.g., graptolites) show a significant negative correlation with TOC, suggesting their presence may coincide with conditions less favorable for accumulation or that they actively inhibit it.

The compression sensing reconstruction for the 1-d signal can contribute to the communication of autonomous driving, intelligent robots, and fire exploration robots. To address the issue that fully connected layers in the LISTA method lack the ability to extract non-local features, this paper primarily designs a non-local fully connection layer and proposes a novel compressed sensing reconstruction method for audio signals. This paper designs a compression sensing reconstruction method for the 1-d signal. To reconstruct 1-d signal, the deep learning method LISTA is used. Then, the linear full connection layer in LISTA is improved by combining the output of three full connection layer to capture the non-local information. The computing regions of improved non-local full connection layer contain: 1) the full connection before; 2) the current full connection; and 3) the full connection after. Experimental results show the reconstruction results of LISTA and LISTA_nf are both close to the real signal. The MSE of LISTA_nf is reduced by 0.1 than the MSE of ISTA under the same experimental settings. The non-local full connection layer in the LISTA_nf consumes longer computing time. The LISTA_nf increase the computing time by 0.07s than the computing time of the ISTA. Experimental results show the effectiveness of the proposed method.

ABSTRACTMacrophages show great potential for application in cellular immunotherapy, but are limited by immune checkpoints (ICBs). Immune checkpoint inhibitors (ICIs) can effectively block immune escape pathways and alleviate immune suppression in the tumor microenvironment (TME). Here, we constructed hypoxia response bacteria (HRB) that specifically expressed CD47 antibody (aCD47) under hypoxic conditions in the TME, enabling the in situ synthesis of ICIs at the tumor site. In addition, this study further prepared responsive liposomes for encapsulating the STING agonist cGAMP and modified them by covalent attachment to the HRB surface to form the composite material HRB@LC. This composite system can synergistically block CD47‐SIRPα‐mediated immune escape and activate the STING signal pathway, thereby enhancing systemic antitumor immune responses and significantly improving the efficacy of immunotherapy.