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Objective This study aimed to evaluate the association of triglyceride-glucose (TyG) index with all-cause and cardiovascular mortality risk among patients with cardiometabolic syndrome (CMS). Methods We performed a cohort study of 5754 individuals with CMS from the 2001–2018 National Health and Nutrition Examination Survey. The TyG index was calculated as Ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Multivariate Cox proportional hazards regression models assessed the associations between TyG index and mortality . Non-linear correlations and threshold effects were explored using restricted cubic splines and a two-piecewise Cox proportional hazards model. Results Over a median follow-up of 107 months, 1201 all-cause deaths occurred, including 398 cardiovascular disease-related deaths. The multivariate Cox proportional hazards regression model showed a positive association between the TyG index and all-cause and cardiovascular mortality. Each one-unit increase in the TyG index was associated with a 16% risk increase in all-cause mortality (HR: 1.16, 95% CI 1.03, 1.31, P  = 0.017) and a 39% risk increase in cardiovascular mortality (HR: 1.39, 95% CI 1.14, 1.71, P  = 0.001) after adjusting for confounders. The restricted cubic splines revealed a U-shaped association between the TyG index and all-cause ( P for nonlinear < 0.001) and cardiovascular mortality ( P for nonlinear = 0.044), identifying threshold values (all-cause mortality: 9.104; cardiovascular mortality: 8.758). A TyG index below these thresholds displayed a negative association with all-cause mortality (HR: 0.58, 95% CI 0.38, 0.90, P  = 0.015) but not with cardiovascular mortality (HR: 0.39, 95% CI 0.12, 1.27, P  = 0.119). Conversely, a TyG index exceeding these thresholds was positively associated with all-cause and cardiovascular mortality (HR: 1.35, 95% CI 1.17, 1.55, P  < 0.001; HR: 1.54, 95% CI 1.25, 1.90, P  < 0.001, respectively). Notably, a higher TyG index (≥ threshold values) was significantly associated with increased mortality only among individuals aged under 55 compared to those with a lower TyG index (< threshold values). Conclusions The TyG index demonstrated a U-shaped correlation with all-cause and cardiovascular mortality in individuals with CMS. The thresholds of 9.104 and 8.758 for all-cause and cardiovascular mortality, respectively, may be used as intervention targets to reduce the risk of premature death and cardiovascular disease.

Background Recent studies have shown that air pollution is among the most important triggers of mental health risks. However, little is known about the resilience strategies that reduce mental health risks among individuals exposed to pollution. The interconnections of protective and risk factors further complicate the understanding of mental health resilience. Therefore, this study developed a resilience assessment framework accounting for factor interconnections to evaluate the short-term air pollution-related mental health resilience. Methods Aligned with mental health resilience theory, a Bayesian network model and network analysis were applied to construct a quantitative network of factor interconnections, analyzing 2019–2020 data for 24,261 older adults from the Shandong Aging and Mental Health Survey. On the basis of the network, mental health resilience was assessed via multiple-criteria decision-making method. The most influential pollutants, vulnerable populations and strategies to increase mental health resilience were then proposed. Results Air pollution exposure directly and indirectly affected mental health outcomes, defining a directional network where fine particulate matter emerged as the most influential pollutant. The mean index for short-term air pollution-associated mental health resilience was 0.52 ± 0.18. Resilience was significantly lower among females, adults aged 65–75, and less-educated individuals (mean index: 0.518 (95% CI: 0.515–0.521), 0.517 (95% CI: 0.515–0.520), and 0.516 (95% CI: 0.513–0.519), respectively). Memory lapses for sex/education disparities, irritability and feeling afraid for age disparities demonstrated the steepest disparities across demographic subgroups and bridge nodes—critical junctures that mediate resilience dynamics between populations. In terms of conditional probability, adjusting resilience factors proved more effective than merely reducing exposure. Conclusions This study has illuminated a directional network linking air pollution to mental health, with a specific focus on fine particulate matter. Thus, enhancing mental health resilience against air pollution requires a coordinated yet targeted approach, prioritizing interventions for fine particular matter exposure. Furthermore, policymakers should address resilience disparities by tailoring interventions to mitigate memory lapses (which exhibit sex/education gaps) and irritability and feeling afraid (associated with age-related vulnerabilities).

Diatomite was modified by chitosan to prepare modified diatomite, and the modified diatomite in an optimized ratio was utilized in coal bio-flocculation. The interaction behavior and flocculation mechanism of modified diatomite on coal slurry water were investigated by single factor experiments, infrared spectroscopy, Brunauer-Emmett-Teller (BET) measurements, and zeta potential measurements. The single factor experiments showed that when the amount of microbial flocculant added was 1.5 ml, the temperature of coal slurry water was 39 °C, the pH was 5, and the amount of modified diatomite was 0.2 g, after 30 min of sedimentation, the flocculation transmittance of the coal slurry water reached 84.3%. The infrared spectra showed that the -NH2 and -OH of the chitosan molecule had a polar interaction with the Si-OH bond in diatomite. The BET measurements showed that the specific surface area of diatomite was not a decisive factor affecting the flocculation effect. Zeta potential measurements indicated that the amino protonation of chitosan increased the isoelectric point (IEP) of modified diatomite. These results showed that modified diatomite has a good effect on coal bio-flocculation.

Objectives The pathophysiology of diabetic cardiomyopathy (DCM) is a phenomenon of great interest, but its clinical problems have not yet been effectively addressed. Recently, the mechanism of ferroptosis in the pathophysiology of various diseases, including DCM, has attracted widespread attention. Here, we explored the role of PACS2 in ferroptosis in DCM through its downregulation of PACS2 expression. Methods and results Cardiomyocytes were treated with high glucose and palmitic acid (HGPA), and the detection of cardiomyocyte iron ions, lipid peroxides, and reactive oxygen species (ROS) revealed clear ferroptosis during these treatments. Silencing PACS2 downregulated CPT1A expression and upregulated DHODH expression significantly, reversing HGPA-induced ferroptosis. Further silencing of PACS2 with a CPT1A agonist exacerbated cardiomyocyte ferroptosis while promoting mitochondrial damage in cardiomyocytes. Using a mouse model of type 2 diabetes induced by streptozotocin (STZ) and a high-fat diet (HFD), we found that PACS2 deletion reversed these treatment-induced increases in cellular iron ions, impaired cardiac function, mitochondrial damage and ferroptosis in cardiac muscle tissues. Conclusions The PACS2/CPT1A/DHODH signalling pathway may be involved in ferroptosis in DCM by regulating cardiomyocyte mitochondrial function.

Microfluidic Chips, also known as chip labs, integrate basic operating units in the fields of chemistry and biology on a chip. The droplet is a technique for controlling a small volume of liquid on a microfluidic chip. One of the two incompatible liquids is used as one continuous phase and the other as a dispersed phase, and the dispersed phase is dispersed in a continuous phase in a micro volume unit. Droplet fusion is the basic tool for controlling droplets in microfluidic devices and their use as microreactors, allowing precise mixing of reagents and fusion of samples at well-defined points in space and time.This topic is based on microfluidic technology, designed and processed PDMS chip, research on droplet generation and droplet fusion technology in microfluidic chip. Using a constant pressure pump designed by the laboratory to drive the sample injection, study the effects of continuous phase, discrete phase convergence angle, flow path width, liquid flow rate, etc. on the droplet formation of the cross-shaped structure. Based on the droplet generation technology, The subject then studied the droplet fusion technology, completed the droplet fusion chip design and processing, and achieved 1:1 1:2 fusion of two sample droplets.

Background Hypertensive patients with depression have a higher mortality rate and a worse prognosis compared with hypertensive only. Depression may reduce medication adherence in hypertension patients. Methods This study includes respondents in the National Health and Nutritional Examination Survey (NHANES) database from 2005 to 2018 who had previously been diagnosed with hypertension. Medication adherence was defined as taking medication as recommended by a physician. The depressive state was assessed using the patient health questionnaire (PHQ)-9. Results Nine thousand one hundred eighty-six respondents were included in the analysis. Medication adherence was associated with depression (odds ratio [OR]: 1.48, 95% confidence interval [CI]: 1.26 to1.75) and depression score (OR: 1.04 per each point increase, 1.03 to 1.05) in the unadjusted analyses. After adjusting for clinical and socioeconomic/demographic factors, there were significant statistical correlations between depression score and medication adherence (aOR: 1.02 per each point increase, 1.00 to 1.03, p  < 0.05), but there was no significant statistical correlation between depression and medication adherence ( p  > 0.05). It was still statistically significant relationships between sex, age, body mass index (BMI), race, marital status, and health insurance with medication adherence after adjusted socioeconomic/demographic factors. Conclusion Depression was marginally associated with poor medication adherence in hypertensive patients, and the correlation increased with depression degree. Moreover, socioeconomic/demographic factors have an independent impact on medication adherence including sex, age, BMI, race, marital status, and health insurance.

Cancer is the most complex and leading cause of fatality worldwide. Despite meritorious research in the field of cancer, it is still a substantial threat to human life. In this article, we address a question on the present strategies and manifest the importance of critical biomarkers for cancer screening and early diagnosis before the symptoms appear. However, this goal can only be achieved if scientists will focus on ultra-sensitive detection techniques such as “Nanopore.” Nanopore sensing is a simple and rapid single-molecule detection technique that can detect multiple cancer biomarkers in femto-Molar concentrations in real time. Last but not least, we propose a systematic policy to win the war against cancer that is a big challenge to science.

Background Cardiovascular health (CVH) and abdominal aortic calcification (AAC) are closely linked to cardiovascular disease (CVD) and related mortality. However, the relationship between CVH metrics via Life’s Essential 8 (LE8) and AAC remains unexplored. Methods The study analyzed data from the 2013–2014 National Health and Nutrition Examination Survey (NHANES) cohort, which included adults aged 40 or above. The research used the LE8 algorithm to evaluate CVH. Semi-quantitative AAC-24 scoring techniques were employed to assess AAC, categorized into no calcification, mild to moderate calcification, and severe calcification. Results The primary analysis involved 2,478 participants. Following adjustments for multiple factors, the LE8 score exhibited a significant association with ACC risk (Mild-moderate ACC: 0.87, 95% CI: 0.81,0.93; Severe ACC: 0.77, 95% CI: 0.69,0.87, all P  < 0.001), indicating an almost linear dose–response relationship. Compared to the low CVH group, the moderate CVH group showed lower odds ratios (OR) for mild-moderate and severe calcification (OR = 0.78, 95% CI: 0.61–0.99, P  = 0.041; OR = 0.68, 95% CI: 0.46–0.99, P  = 0.047, respectively). Moreover, the high CVH group demonstrated even lower ORs for mild-moderate and severe calcification (OR = 0.46, 95% CI: 0.31, 0.69, P  < 0.001; OR = 0.29, 95% CI: 0.14, 0.59, P  = 0.001, respectively). Interactions were found between chronic kidney disease (CKD) condition, history of CVD, marital status and CVH metrics to ACC. Participants without CKD exhibited a more pronounced negative association between the CVH metric and both mild-moderate and severe ACC. Those lacking a history of CVD, and never married/widowed/divorced/separated showed a stronger negative association between the CVH metric and severe ACC. Conclusions The novel CVH metrics demonstrated an inverse correlation with the risk of AAC. These findings suggest that embracing improved CVH levels may assist in alleviating the burden of ACC.

OLEOSIN proteins (OLEs) are the predominant class of proteins localized on the surface of oil bodies. Previous studies have established that light facilitates the degradation of oil bodies via the action of PHOTOCHROME A/B (PHYA/B). However, the specific roles of OLEs in light signaling pathways and their underlying regulatory mechanisms remain unclear. In this study, we provide evidence that OLE4 inhibits hypocotyl elongation under red light conditions but has no significant effect in the dark. We demonstrated that red light suppressed both the expression and protein accumulation of OLE4 . PHYB reduces OLE4 levels, moreover PHYTOCHROME INTERACTING FACTOR 3 (PIF3) directly represses OLE4 by binding to its G-box motifs; this repression is further strengthened by HDA5 and HDA6. Transcriptomic analysis of the ole4 mutant indicated substantial changes in the expression of genes involved in abscisic acid (ABA) signaling, stress responses, and light stimulus pathways. Correspondingly, ABA levels were markedly elevated in OLE4 overexpression lines ( OLE4#1 ), as well as in phyB-9 and pif3-3 mutants under red light exposure. Applying external ABA restored the hypocotyl growth in ole4 mutants and increased the expression of both OLE4 and PIF3 . Additionally, the ole4 mutant exhibited heightened sensitivity to ABA under red light and diminished tolerance to salinity and drought stress conditions. Collectively, these results reveal that OLE4 connects the PHYB-PIF3-HDA5/6 signaling pathway with ABA signaling, thereby controlling hypocotyl elongation regulated by red light.

Background Sphingosine-1-phosphate receptor 1 (S1PR1) is considered to be closely related to a variety of malignant tumors, but the role and mechanism of S1PR1 in lung adenocarcinoma are not fully understood. In this study, we aim to explore the role and downstream signaling pathways of S1PR1 in the malignant biological functions of lung adenocarcinoma (LUAD). Methods Bioinformatics analysis, RT-qPCR, western blot and immunohistochemistry (IHC) were was used to investigate the expression of S1PR1 in LUAD. The prognosis of S1PR1 was also analyzed. CCK-8 assay, colony formation assay, scratch assay, transwell migration and invasion assay, cell adhesion assay were performed to examine the effect of S1PR1 on LUAD. RNA sequencing was employed to analyze the DEGs in LUAD cells overexpressing S1PR1. Enrichment pathway analysis using KEGG, GO, and GSEA was conducted to predict potential signaling pathways and downstream targets. chromatin immunoprecipitation (ChIP) and dual luciferase reporter assay were performed to verify the direct regulation between FOXA1 and the target genes. Then FOXA1 overexpression were performed to functional rescue experiments. miRNA-30c-5p was identified as a microRNA regulating FOXA1 by dual luciferase reporter assay. The downstream signaling pathways of S1PR1 was detected to clarify the specific pathways to regulates miR-30c-5p. Results S1PR1 is significantly decreased in LUAD and is positively correlated with the prognosis. Overexpression of S1PR1 inhibits the proliferation, migration, invasion and adhesion function of LUAD cells by suppressing the expression of COL5A1, MMP1, and SERPINE1. FOXA1 is a key transcription factor regulating the expression of MMP1, COL5A1 and SERPINE1. S1PR1 inhibits the expression of FOXA1 through p-STAT1/miR-30c-5p, thereby suppressing the malignant function of LUAD cells. Conclusions The expression of S1PR1 is downregulated in LUAD, which is positively correlated with prognosis. S1PR1 regulates the malignant function of LUAD cells by inhibiting the expression of COL5A1, MMP1 and SERPINE1 through the p-STAT1/miR-30c-5p/FOXA1 signaling pathway.