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INTRODUCTION: This study investigates the effects of varying nicotine doses and administration frequencies on mouse body weight, adipose tissues, and liver. METHODS: Male C57BL6/J mice received subcutaneous nicotine doses (0.5mg/kg, 1mg/kg, or 2mg/kg) once daily (qd), twice daily (bid), or four times daily (qid) for 4 weeks. Body weight, inguinal white adipose tissue (iWAT), epididymal white adipose tissue (eWAT), brown adipose tissue (BAT) weight and size, and UCP1 expression were assessed, along with liver fat deposition and morphology. RESULTS: Nicotine administration reduced body weight and decreased the weight and size of iWAT and eWAT compared to controls. The frequency of nicotine administration had a more significant impact on body weight and fat tissues than the dosage itself, with 2mg/kg bid being optimal for weight reduction. Nicotine increased BAT cell numbers and amplified UCP1 expression in iWAT and BAT. It had minor effects on eWAT UCP1 expression and no substantial impact on liver fat deposition or morphology, except for a reduction in liver weight with doses exceeding 4mg/kg. CONCLUSIONS: Nicotine-induced weight reduction is frequency-dependent, with 2mg/kg bid being the optimal regimen. The mechanisms may include reductions in iWAT and eWAT weights and cell sizes, induction of browning in iWAT, increased BAT quantity and UCP1 expression, and heightened energy expenditure in iWAT and BAT. Nicotine's ability to induce eWAT browning is relatively weak, indicating diverse mechanisms of action across different adipose tissue types. These findings provide a foundation for further exploration of nicotine's multifaceted functions and underlying mechanisms. IMPLICATIONS: This study examines how different nicotine doses and administration frequencies affect mouse body weight and adipose tissues. It finds that administering nicotine bid (twice daily) at 2mg/kg leads to optimal weight reduction. Nicotine induces browning in white adipose tissue, increases brown adipose tissue quantity and UCP1 expression, and affects energy expenditure. The findings underscore nicotine's nuanced effects across different adipose tissue types and lay groundwork for further exploration of its mechanisms and therapeutic potential in weight management.

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In this paper, a kind of layered metastructure (LMS) is proposed by stacking multi-layer dielectric plates. By adjusting the dielectric constant of medium A (set as εi), the Brewster angle (BA) of incident electromagnetic waves (EMWs) has been directly selected. At the same time, the operating band of the above angle selection (AS) can be extended to the whole visible light band (VLB) which covers 400 nm to 700 nm according to Bragg reflection. After careful design, two ranges of BAs that cross 0° to 42° and 0° to 60° have been realized in the VLB, which is defined as privacy protection (PP) in this paper. Compared with previous reports, this accomplishment improves transmissivity at small angles and covers a large band. Also, the gradient thickness of the proposed LMS can be changed arbitrarily according to the needs of operating bands, which undoubtedly expands the actual operating scenarios. The obtained results can offer some help to the design of directional devices in industry production, the PP of daily life, and so on.

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BACKGROUND: The efficacy of radiotherapy (RT) combined with targeted therapy and immunotherapy in treating hepatocellular carcinoma (HCC) and portal vein tumor thrombosis (PVTT) is still unclear. This study investigated the efficacy and safety of RT combined with targeted therapy and immunotherapy in HCC with PVTT. MATERIALS AND METHODS: Seventy-two patients with HCC with PVTT treated with tyrosine kinase inhibitor (TKI) plus programmed cell death protein-1 (PD-1) inhibitor with or without RT from December 2019 to December 2023 were included. After propensity score matching (PSM) for adjusting baseline differences, 32 pairs were identified in RT + TKI + PD-1 group (n = 32) and TKI + PD-1 group (n = 32). Primary endpoints were overall survival (OS) and progression-free survival (PFS). Secondary endpoints included objective response rate (ORR), disease control rate (DCR), and treatment-related adverse events (TRAEs). RESULTS: Median OS (mOS) in RT + TKI + PD-1 group was significantly longer than TKI + PD-1 group (15.6 vs. 8.2 months, P = .008). Median PFS (mPFS) in RT + TKI + PD-1 group was dramatically longer than TKI + PD-1 group (8.1 vs. 5.2 months, P = .011). Patients in TKI + PD-1 + RT group showed favorable ORR and DCR compared with TKI + PD-1 group (78.1% vs. 56.3%, P = .055; 93.8% vs. 81.3%, P = .128). Subgroup analysis demonstrated a remarkable OS and PFS benefit with TKI + PD-1 + RT for patients with main PVTT (type III/IV) and those of Child-Pugh class A. Multivariate analysis confirmed RT + TKI + PD-1 as an independent prognostic factor for longer OS (HR 0.391, P = .024) and longer PFS (HR 0.487, P = .013), with no mortality or severe TRAEs. CONCLUSION: RT combined with TKI and PD-1 inhibitor could significantly improve mOS and mPFS without inducing severe TRAEs or mortality.

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Natural compounds constitute a major resource for the development of medicines for multiple diseases. While many natural compounds show strong biological activity, the mechanisms that confer clinical benefits are often elusive and have been attributed to multiple pathways. Periplogenin (PPG), a natural compound isolated from Cortex periplocae, exhibits strong anti-tumor activities in several human cancer cell lines. However, its molecular mode of action remained unclear. In this study, we leveraged a forward genetic screening approach in DU145 prostate cancer cells to uncover the molecular target of PPG using chemical mutagenesis. Next generation sequencing revealed that a single amino acid substitution at amino acid 804 in ATP1A1 (ATPase Na + /K + Transporting Subunit Alpha 1) confers resistance to the cytotoxic activity of PPG. Mechanistically, ATP1A1 T804 forms a hydrogen bond with PPG which is abolished by the T804A substitution in ATP1A1, resulting in resistance to PPG treatment in vitro. Importantly, in vivo, PPG strongly suppressed tumor development in a DU145 xenograft model whereas DU145 xenograft tumors carrying a ATP1A1-T804A mutation were largely unaffected by the treatment. These findings demonstrate that PPG suppresses the growth of DU145 prostate cancer cells in vitro and in vivo by directly binding to ATP1A1 and highlight the power of our unbiased forward genetic screening approach to uncover direct drug target structures at single amino acid resolution.

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To investigate the release of lipolytic hormones during various high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT), and their effects on fat loss. 39 young women categorized as obese (with a body fat percentage (BFP) ≥30%) were randomly allocated to one of the following groups: all-out sprint interval training (SIT, n =10); supramaximal HIIT (HIIT120, 120%V̇O2peak, n = 10); HIIT (HIIT90, 90%V̇O2peak, n = 10), or MICT, (60%V̇O2peak, n = 9) for a twelve-week observation period consisting of 3 to 4 exercise sessions per week. Serum epinephrine (EPI) and growth hormone (GH) were measured during the 1st, 20th, and 44th training sessions. Body weight (BW), body mass index (BMI), whole-body fat mass (FM) and BFP were assessed pre- and post-intervention. Following the 1st and 20th sessions, significant increases in EPI (p < 0.05) were observed post-exercise in HIIT120 and HIIT90, but not in SIT and MICT. In the 44th session, the increased EPI was found in SIT, HIIT120, and HIIT90, but not in MICT (p < 0.05). For the GH, a significant increase was observed post-exercise in all groups in the three sessions. The increased EPI and GH returned to baselines 3 hours post-exercise. After the 12-week intervention, significant reductions in FM and BFP were found in all groups, while reductions in BW and BMI were only found in the SIT and HIIT groups. Greater reductions in FM and BFP, in comparison to MICT, were observed in the SIT and HIIT groups (p < 0.05). 12-week SIT, HIIT120, and HIIT90, in comparison to MICT, were more efficacious in fat reduction in obese women, partly benefiting from the greater release of lipolytic hormones during training sessions.

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Understanding the dynamics of sedimentary organic carbon (SOC) in the productive continental marginal sea surrounding Antarctica is crucial for elucidating the effect of this sea on the global carbon cycle. We analyzed 31 surface sediment samples and eight sediment cores collected from Prydz Bay (PB) and the adjacent basin area. The element and stable isotope compositions, grain size compositions, and biogenic silica and lithogenic minerals of these samples were used to evaluate the spatial variations in the sources, transport mechanisms, and preservation patterns of SOC, with a particular focus on the efficiency of the biological carbon pump (BCP). Our findings reveal that the SOC originated from mixed marine/terrestrial sources. The δ13C values were higher in the Prydz Bay Gyre (PBG) region than in the open sea area. Biogenic matter-rich debris, associated with fine-grained particles (silt and clay), was concentrated in the PBG, while abiotic ice-rafted debris and coarse-grained particles were preferentially deposited in the bank and ice shelf front regions. Lithogenic matter predominated in the basin sediments. The annual accumulation rate of SOC in PB ranged from 1.6 to 6.2 g·m-2·yr-1 (mean 4.2 ± 1.9 g·m-2·yr-1), and the rates were higher in the PBG than in the ice shelf front region. Estimates based on our tentative box model suggest that the efficiency of the BCP, which refers to the proportion of surface-produced organic carbon successfully transferred to deep waters, is approximately 5.7 % in PB, surpassing the global average (∼0.8 %) and the efficiencies reported for other polar environments. Furthermore, our calculations indicate that the SOC preservation efficiency (the ratio of preserved to initially deposited organic carbon in sediments) in PB is approximately 79 % ± 20 %, underscoring the significant carbon sequestration potential within PB. The results of this study have important implications for the effects of sediment dynamics on the carbon cycle in the sea surrounding Antarctica.

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Early diagnosis of heart disease is crucial, as it's one of the leading causes of death globally. Machine learning algorithms can be a powerful tool in achieving this goal. Therefore, this article aims to increase the accuracy of predicting heart disease using machine learning algorithms. Five classification models are explored: eXtreme Gradient Boosting (XGBC), Random Forest Classifier (RFC), Decision Tree Classifier (DTC), K-Nearest Neighbors Classifier (KNNC), and Logistic Regression Classifier (LRC). Additionally, four optimizers are evaluated: Slime mold Optimization Algorithm, Forest Optimization Algorithm, Pathfinder algorithm, and Giant Armadillo Optimization. To ensure robust model selection, a feature selection technique utilizing k-fold cross-validation is employed. This method identifies the most relevant features from the data, potentially improving model performance. The top three performing models are then coupled with the optimization algorithms to potentially enhance their generalizability and accuracy in predicting heart failure. In the final stage, the shortlisted models (XGBC, RFC, and DTC) were assessed using performance metrics like accuracy, precision, recall, F1-score, and Matthews Correlation Coefficient (MCC). This rigorous evaluation identified the XGGA hybrid model as the top performer, demonstrating its effectiveness in predicting heart failure. XGGA achieved impressive metrics, with an accuracy, precision, recall, and F1-score of 0.972 in the training phase, underscoring its robustness. Notably, the model's predictions deviated by less than 5.5 % for patients classified as alive and by less than 1.2 % for those classified as deceased compared to the actual outcomes, reflecting minimal error and high predictive reliability. In contrast, the DTC base model was the least effective, with an accuracy of 0.840 and a precision of 0.847. Overall, the optimization using the GAO algorithm significantly enhanced the performance of the models, highlighting the benefits of this approach.

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The refractive index (RI) of biological tissues is a fundamental material parameter that characterizes how light interacts with tissues, making accurate measurement of RI crucial for biomedical diagnostics and environmental monitoring. A Janus sensor (JBS) is designed in this paper, and the photonic spin Hall effect (PSHE) is used to detect subtle changes in RI in biological tissues. The asymmetric arrangement of the dielectric layers breaks spatial parity symmetry, resulting in significantly different PSHE displacements during the forward and backward propagation of electromagnetic waves, thereby realizing the Janus effect. The designed JBS can detect the RI range of 1.3~1.55 RIU when electromagnetic waves are incident along the +z-axis, with a sensitivity of 96.29°/refractive index unit (RIU). In the reverse direction, blood glucose concentrations are identified by the JBS, achieving a sensitivity of 18.30°/RIU. Detecting different RI range from forward and backward scales not only overcomes the limitation that single-scale sensors can only detect a single RI range, but also provides new insights and applications for optical biological detection through high-sensitivity, label-free and non-contact detection.

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BACKGROUND: Intraindividual variability in lipid profiles is recognized as a potential predictor of cardiovascular events. However, the influence of early adulthood lipid profile variability along with mean lipid levels on future coronary artery calcium (CAC) incidence remains unclear. METHODS: A total of 2395 participants (41.6% men; mean±SD age, 40.2±3.6 years) with initial CAC =0 from the CARDIA study (Coronary Artery Risk Development in Young Adults) were included. Serial lipid measurements were obtained to calculate mean levels and variability of total cholesterol, low-density lipoprotein cholesterol (LDL-C), non-high-density lipoprotein cholesterol (non-HDL-C), and triglycerides. CAC incidence was defined as CAC >0 at follow-up. RESULTS: During a mean follow-up of 9.0 years, 534 individuals (22.3%) exhibited CAC incidence. Higher mean levels of total cholesterol, LDL-C, and non-HDL-C were associated with a greater risk of future CAC incidence. Similarly, 1-SD increment of lipid variability, as assessed by variability independent of the mean, was associated with an increased risk of CAC incidence (LDL-C: hazard ratio, 1.139 [95% CI, 1.048-1.238]; P=0.002; non-HDL-C: hazard ratio, 1.102 [95% CI, 1.014-1.198]; P=0.022; and triglycerides: hazard ratio, 1.480 [95% CI, 1.384-1.582]; P<0.001). Combination analyses demonstrated that participants with both high lipid levels and high variability in lipid profiles (LDL-C and non-HDL-C) faced the greatest risk of CAC incidence. Specifically, elevated variability of LDL-C was associated with an additional risk of CAC incidence even in low mean levels of LDL-C (hazard ratio, 1.396 [95% CI, 1.106-1.763]; P=0.005). These findings remained robust across a series of sensitivity and subgroup analyses. CONCLUSIONS: Elevated variability in LDL-C and non-HDL-C during young adulthood was associated with an increased risk of CAC incidence in midlife, especially among those with high mean levels of atherogenic lipoproteins. These findings highlight the importance of maintaining consistently low levels of atherogenic lipids throughout early adulthood to reduce subclinical atherosclerosis in midlife. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005130.

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BACKGROUND: Long-term dysfunction of glucose metabolism causes cardiac dysfunction called diabetic cardiomyopathy (DCM). MATERIAL AND METHODS: To investigate the effect and underlying mechanism of RS on the process of DCM, mouse models induced by a high-fat diet (HFD) and streptozotocin (STZ) were fed RS (2 g/kg/day) and vehicle treatment (by oral gavage) for 14 weeks. Various analyses, including qRT-PCR, western blot, immunofluorescence staining, histology staining, cardiac function, and diversity detection of intestinal microbiota were performed. RESULTS: RS intervention could directly improve myocardial fibrosis, hypertrophy, apoptosis, and cardiac insufficiency in DCM. These beneficial effects may be achieved by elevating the expression of IGF-1, activating the ERK phosphorylation. Furthermore, by carrying out nano LC-MS/MS analyses and 16S rDNA sequencing, we found RS might primarily affect proteins in the cytoplasm involved in post-translational modification, protein conversion, and signal transduction mechanisms. RS altered intestinal microbiota and improved intestinal mucosal permeability towards a favorable direction in DCM. CONCLUSION: This multi-dimensional assessment of RS suggests that might be a promising approach towards the treatment of DCM.

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Fluorescein angiography (FA) is a diagnostic method for observing the vascular circulation in the eye. However, it poses a risk to patients. Therefore, generative adversarial networks have been used to convert retinal fundus structure images into FA images. Existing high-resolution image generation methods employ complex deep network models that are challenging to optimize, which leads to issues such as blurred lesion boundaries and poor capture of microleakage and microvessels. In this study, we propose a multiple-ResNet generative adversarial network (GAN) to improve model training, thereby enhancing the ability to generate high-resolution FA images. First, the structure of the multiple-ResNet generator is designed to enhance detail generation in high-resolution images. Second, the Gaussian error linear unit (GELU) activation function is used to help the model converge rapidly. The effectiveness of the multiple-ResNet is verified using the publicly available Isfahan MISP dataset. Experimental results show that our method outperforms other methods, achieving better quantitative results with a mean structural similarity of 0.641, peak signal-to-noise ratio of 18.25, and learned perceptual image patch similarity of 0.272. Compared with state-of-the-art methods, the results showed that using the multiple-ResNet framework and GELU activation function can improve the generation of detailed regions in high-resolution FA images.

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Vertebrates and tunicates are sister groups that share a common fusogenic factor, Myomaker (Mymk), that drives myoblast fusion and muscle multinucleation. Yet they are divergent in when and where they express Mymk. In vertebrates, all developing skeletal muscles express Mymk and are obligately multinucleated. In tunicates, Mymk is expressed only in post-metamorphic multinucleated muscles, but is absent from mononucleated larval muscles. In this study, we demonstrate that cis-regulatory sequence differences in the promoter region of Mymk underlie the different spatiotemporal patterns of its transcriptional activation in tunicates and vertebrates. Although in vertebrates myogenic regulatory factors (MRFs) such as MyoD1 alone are required and sufficient for Mymk transcription in all skeletal muscles, we show that transcription of Mymk in post-metamorphic muscles of the tunicate Ciona requires the combinatorial activity of MRF, MyoD and Early B-cell Factor (Ebf). This macroevolutionary difference appears to be encoded in cis, likely due to the presence of a putative Ebf-binding site adjacent to predicted MRF binding sites in the Ciona Mymk promoter. We further discuss how Mymk and myoblast fusion might have been regulated in the last common ancestor of tunicates and vertebrates, for which we propose two models.

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Mortality from cardiovascular disease (CVD) accounts for over 30% of all deaths globally, necessitating reliable diagnostic tools. Prompt identification and precise diagnosis are critical for effective personalized treatment. Nanotechnology offers promising applications in diagnostics, biosensing and drug delivery for prevalent cardiovascular diseases. Its integration into cardiovascular care enhances diagnostic accuracy, enabling early intervention and tailored treatment plans. By leveraging nanoscale innovations, healthcare professionals can address the complexities of CVD progression and customize interventions based on individual patient needs. Ongoing advancements in nanotechnology continue to shape the landscape of cardiovascular medicine, offering potential for improved patient outcomes and reduced mortality rates from these pervasive diseases.

[Box: see text].

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OBJECTIVE: The early differentiation of adrenal lipid-poor adenomas from non-adenomas is a crucial step in reducing excessive examinations and treatments. This study seeks to construct an eXtreme Gradient Boosting (XGBoost) predictive model utilizing the minimum attenuation values (minAVs) from non-contrast CT (NCCT) scans to identify lipid-poor adenomas. MATERIALS AND METHODS: Retrospective analysis encompassed clinical data, minAVs, CT histogram (CTh), mean attenuation values (meanAVs), and lesion diameter from patients with pathologically or clinically confirmed adrenal lipid-poor adenomas across two medical institutions, juxtaposed with non-adenomas. Variable selection transpired in Institution A (training set), with XGBoost models established based on minAVs and CTh separately. Institution B (validation set) corroborated the diagnostic efficacy of the two models. Receiver operator characteristic (ROC) curve analysis, calibration curves, and Brier scores assessed the diagnostic performance and calibration of the models, with the Delong test gauging differences in the area under the curve (AUC) between models. SHapley Additive exPlanations (SHAP) values elucidated and visualized the models. RESULTS: The training set comprised 136 adrenal lipid-poor adenomas and 126 non-adenomas, while the validation set included 46 and 40 instances, respectively. In the training set, there were substantial inter-group differences in minAVs, CTh, meanAVs, diameter, and body mass index (BMI) (p < 0.05 for all). The AUC for the minAV and CTh models were 0.912 (95% confidence interval [CI]: 0.866-0.957) and 0.916 (95% CI: 0.873-0.958), respectively. Both models exhibited good calibration, with Brier scores of 0.141 and 0.136. In the validation set, the AUCs were 0.871 (95% CI: 0.792-0.951) and 0.878 (95% CI: 0.794-0.962), with Brier scores of 0.156 and 0.165, respectively. The Delong test revealed no statistically significant differences in AUC between the models (p > 0.05 for both). SHAP value analysis for the minAV model suggested that minAVs had the highest absolute weight (AW) and negative contribution. CONCLUSION: The XGBoost predictive model based on minAVs demonstrates effective discrimination between adrenal lipid-poor adenomas and non-adenomas. The minAV variable is easily obtainable, and its diagnostic performance is comparable to that of the CTh model. This provides a basis for patient diagnosis and treatment plan selection.

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Previous findings have indicated the potential benefits of the Chinese traditional medicine Qiliqiangxin (QLQX) in heart failure. Here we performed a double-blind, randomized controlled trial to evaluate the efficacy and safety of QLQX in patients with heart failure and reduced ejection fraction (HFrEF). This multicenter trial, conducted in 133 hospitals in China, enrolled 3,110 patients with HFrEF with NT-proBNP levels of ≥450 pg ml-1 and left ventricular ejection fraction of ≤40%. Participants were randomized to receive either QLQX capsules or placebo (four capsules three times daily) alongside standard heart failure therapy. The trial met its primary outcome, which was a composite of hospitalization for heart failure and cardiovascular death: over a median follow-up of 18.3 months, the primary outcome occurred in 389 patients (25.02%) in the QLQX group and 467 patients (30.03%) in the placebo group (hazard ratio (HR), 0.78; 95% confidence interval (CI), 0.68-0.90; P < 0.001). In an analysis of secondary outcomes, the QLQX group showed reductions in both hospitalization for heart failure (15.63% versus 19.16%; HR, 0.76; 95% CI, 0.64-0.90; P = 0.002) and cardiovascular death (13.31% versus 15.95%; HR, 0.83; 95% CI, 0.68-0.996; P = 0.045) compared to the placebo group. All-cause mortality did not differ significantly between the two groups (HR, 0.84; 95% CI, 0.70-1.01; P = 0.058) and adverse events were also comparable between the groups. The results of this trial indicate that QLQX may improve clinical outcomes in patients with HFrEF when added to conventional therapy. ChiCTR registration: ChiCTR1900021929 .

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INTRODUCTION: Preeclampsia is a pregnancy-specific disorder characterized by de novo development of hypertension and proteinuria over 20 weeks gestation that has been associated with the dysfunction of trophoblasts. Current evidence suggests that syncytin-1 plays an important role in the non-fusogenic biological activity of trophoblasts, except for specific fusogenic function. However, the underlying mechanism remains unclear. METHODS: The expression and location of syncytin-1 in normal and the late-onset preeclampsia placentas were detected by quantitative real-time PCR, western blotting and immunofluorescence. Morphological and apoptosis analysis were processed in placentas. The ex vivo extravillous explant culture model was used to explore the effect of syncytin-1 on EVT outgrowths. Real-time quantitative PCR and immunoblotting were used to calculate syncytin-1 levels in the trophoblast cells before and after syncytin-1 knockdown or overexpression. CCK-8 assay was used to detect the cell viability. TUNEL staining and immunoblotting were processed in trophoblast cells. Transwell assays and wound healing assays were utilize to assess the invasion and migration of trophoblastic cells. Conditional knockout of syncytin-a mouse model was conducted to present the change of placentas in vivo. The ex vivo extravillous explant culture model was used to explore the effect of syncytin-1 on EVT outgrowths. Western blotting was used to identify the key proteins of PI3K/Akt pathways and invasion-related proteins in trophoblast cells. RESULTS AND DISCUSSION: Here, reduced syncytin-1 was identified in the late-onset preeclampsia placentas. Reduced syncytin-1 may attenuates the EMT process by promoting apoptosis, inhibiting proliferation and invasion by suppressed PI3K/Akt pathway in trophoblast cells. Our findings provide novel insights into the non-fusogenic biological function of reduced syncytin-1 that may be involves in the pathogenesis of preeclampsia.

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The effects of different thermal processing conditions on the flavor profiles of channel catfish were evaluated in terms of fatty acids, volatile flavor and taste compounds using steaming, boiling, roasting, and microwaving with different degrees. After thermal processing, 72 volatile organic compounds were detected, including 20 hydrocarbons, 5 ketones, 20 aldehydes, 7 heterocyclic compounds, 12 alcohols and others. Meanwhile, the contents of unsaturated fatty acids like oleic acid and linoleic showed a significant decline due to their heat-sensitive properties. With regard to taste compounds, thermal processing contributed to umami amino acids and free nucleotides conversion, with the initial glutamate and IMP contents of 15.87 and 164.91 mg/100 g in raw samples mainly increasing by 2.8-10.3 and 14.4-105.5 mg/100 g in processed ones. Compared to other methods, microwaving had limited effects on flavor compounds, and steaming and roasting had better performance to improve the flavor complexity of channel catfish.

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Ripening is one of the most important stages of fruit development and determines the fruit quality. Various factors play a role in this process, with epigenetic mechanisms emerging as important players. Epigenetic regulation encompasses DNA methylation, histone modifications and variants, chromatin remodeling, RNA modifications, and non-coding RNAs. Over the past decade, studies using tomato as a model have made considerable progress in understanding the impact of epigenetic regulation on fleshy fruit ripening and quality. In this paper, we provide an overview of recent advancements in the epigenetic regulation of tomato fruit ripening and quality regulation, focusing on three main mechanisms: DNA/RNA modifications, non-coding RNAs, and histone modifications. Furthermore, we highlight the unresolved issues and challenges within this research field, offering perspectives for future investigations to drive agricultural innovation.

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Background: To investigate the association of marital status on cardiovascular death risk in lung cancer patients. Methods: Using data from the Surveillance, Epidemiology, and End Results (SEER) database in the United States from 2011 to 2015 (N = 118,293), the association between marital status and cardiovascular death (CVD) risk in patients with lung cancer was assessed by competing-risks regression models. Results: Unmarried status was associated with increased risk of cardiovascular death in lung cancer patients [hazard ratio (HR)  =  1.398, 95 % confidence interval (CI): 1.268-1.542], which remained significant even after adjusting for potential covariates (HR = 1.407, 95 % CI: 1.276-1.551). Further unmarried subgroups analysis showed that the different unmarried status were associated with increased cardiovascular death risk as follows: single (HR = 1.397, 95 % CI: 1.236-1.1.580), separated (HR = 1.630, 95 % CI: 1.153-2.305), divorced (HR = 1.318, 95 % CI: 1.158-1.500), and widowed (HR = 1.561, 95 % CI: 1.393-1.749). Further subgroup analysis by sex revealed that compared to male lung cancer patients with married, CVD risk was significant increased in their counterparts with widowed (adjusted HR = 1.509, 95 % CI: 1.291-1.764, P<0.001), single (adjusted HR = 1.361, 95 % CI: 1.168-1.585, P<0.001) and divorced (adjusted HR = 1.353, 95 % CI: 1.177-1.555, P<0.001) rather than those with separated. However, similar phenomena was only observed in female lung cancer patients with widowed (adjusted HR = 1.414, 95 % CI: 1.220-1.640, P<0.001) and single (adjusted HR = 1.438, 95 % CI: 1.195-1.730, P<0.001). Conclusion: Unmarried status was associated with increased cardiovascular death risk in patients with lung cancer, which highlighted that more attention and humanistic/supportive care should be offered to unmarried lung cancer patients for improving the prognosis.