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Objective(s): Obesity leads to severe health issues like cardiovascular disease. Natural substances with anti-obesity properties are gaining attention. This study investigates the impact of taurine on lipid levels in rats fed a high-fat diet. Materials and Methods: The SD rats were fed a high-fat diet and treated with or without taurine for 21 weeks. Taurine was added to their drinking water, and an adipose triglyceride lipase (ATGL) inhibitor was injected for one week. The study evaluated the impact of taurine supplementation on the rats' body weight, Lee index, body fat content, serum levels of triglycerides (TG), total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), fatty acid synthase (FAS), ATGL, and peroxisome proliferator-activated receptor α (PPARα) in the liver. Fat accumulation in the liver and aortic arch was assessed through histopathological observations. Results: The study found that taurine reduced body weight, body fat, serum TG, TC, LDL-C levels, and lipid deposition in the liver and aortic arch while increasing serum HDL-C levels. Taurine intake also increased FAS and ATGL expression in the liver. Interestingly, the ATGL inhibitor atglistatin did not affect FAS and ATGL expression in the presence of taurine. Conclusion: Taurine can reduce fat deposition caused by a high-fat diet in SD rats by decreasing FAS content and increasing ATGL content. However, taurine does not fully regulate FAS and ATGL expression through the ATGL pathway. [ABSTRACT FROM AUTHOR]

Percutaneous image-guided ablation techniques are a consolidated therapeutic alternative for patients with high preoperative surgical risk for the management of oncological diseases in multiple body districts. Each technique has both pros and cons according to the type of energy delivered, mechanism of action, and site of application. The present article reviews the most recent literature results on ablation techniques applied in the field of genitourinary diseases (kidney, adrenal glands, prostate, and uterus), describing the advantages of the use of each technique and their technical limitations and summarizing the major recommendations from an international consensus meeting. Critical relevant statement: The article critically evaluates the efficacy and safety of ablation therapies for various genitourinary tract diseases, demonstrating their potential to improve patient outcomes and advance clinical radiology by offering minimally invasive, effective alternatives to traditional surgical treatments. Key Points: Ablation therapies are effective alternatives to surgery for renal cell carcinoma. Ablation techniques offer effective treatment for intermediate-risk prostate cancer. Ablation is a promising tool for adrenal tumor management. Ablation reduces fibroid symptoms and volume, offering an alternative to surgery. [ABSTRACT FROM AUTHOR]

In this paper, the dynamic behavior of a diffusive Rosenzweig-MacArthur (R-M) predatorprey model with hyperbolic tangent functional response and fear effect was investigated. For the local system, we gave a detailed classification of equilibria and performed bifurcation analysis. It was shown by numerical simulation that both the capture rate and fear factor have a stabilizing effect. Furthermore, the existence of limit cycles was discussed when the prey was in low fear or carrying capacity was sufficiently large. For the reaction-diffusion system, we considered the local stability of a unique positive equilibrium, Turing instability of both positive equilibrium and homogeneous periodic orbits under weak fear effect or strong carrying capacity, the direction of Hopf bifurcation and the stability of bifurcating periodic solutions under small fear cost and large diffusion coefficients, as well as the existence of positive nonconstant steady states. However, in the absence of fear effect, Turing instability of both positive equilibrium and homogeneous periodic orbits did not occur. Meanwhile, numerical examples were given to illustrate the corresponding analytic results. [ABSTRACT FROM AUTHOR]

Thyroid cancer (THCA) is a malignant tumor that affects the endocrine system. At present, an effective treatment for THCA remains elusive, particularly for medullary carcinoma and undifferentiated carcinoma, due to the lack of suitable medications and prognostic markers. Patient RNA-sequencing and clinical data were obtained from The Cancer Genome Atlas and Genotype-Tissue Expression databases. Protein-protein interaction analyses were performed for differentially expressed genes related to THCA. Moreover, the associations between fibronectin 1 (FN1), clinical data, immune checkpoint genes and immune cell infiltration was assessed. The potential functional role of the FN1 gene was evaluated through gene set enrichment analysis. Immunohistochemistry was used to assess FN1 expression in 103 cases of THCA, comprising 32 with papillary carcinoma, 30 with follicular carcinoma, 35 with medullary carcinoma and 6 with undifferentiated carcinoma. Finally, 11 co-expression modules were constructed and the expression of five identified hub genes (FN1, mucin-1, keratin 19, intracellular adhesion molecule 1 and neural cell adhesion molecule) were evaluated. The results demonstrated that higher FN1 gene expression levels were strongly associated with a higher pathologic stage and tumor stage, and were significantly associated with immune cell infiltration in THCA. Significant increases in FN1 protein expression levels were noted among patients diagnosed with four types of THCA, comprising papillary carcinoma, follicular carcinoma, medullary carcinoma and undifferentiated carcinoma. Patients diagnosed with medullary carcinoma and undifferentiated carcinoma, and with low FN1 expression levels, exhibited a significant survival advantage compared with those with high FN1 expression levels. In conclusion, the present study identified five hub genes involved in the onset and progression of THCA. Furthermore, FN1 could serve as a candidate biomarker and a therapeutic target for THCA and may be a key gene mediating THCA immune infiltration. [ABSTRACT FROM AUTHOR]

The aim of this study was to examine the effect of long-term aerated seepage irrigation technology on soil fertility changes and maize yield under continuous maize cropping system in red loam soil, and to explain the mechanism of maize yield increase under this technology, which can provide theoretical basis for crop quality improvement and yield increase under aerated irrigation (AI) technology. Therefore, this research was conducted for four field seasons in 2020-2023 at the National Soil Quality Observation Experimental Station, Zhanjiang, China. Soil aeration, soil fertility, root growth, physiological traits, and yield indicators were evaluated by conventional underground drip irrigation (CK) and AI. Our results showed that AI treatment significantly improved soil aeration and soil fertility. Increases in soil oxygen content, soil respiration rate, soil bacterial biomass, and soil urease activity were observed, corresponding to increases from 3.08% to 21.34%, 1.90% to 24.71%, 26.37% to 0.09%, and 12.35% to 100.96%, respectively. The effect of AI on maize indicators increased year by year. Based on improvements in soil aeration and fertility, root length, root surface area, and root dry weight under AI treatment were enhanced by 15.56% to 53.79%, 30.13% to 62.31%, and 19.23% to 35.64% (p < 0.05) compared to the CK group. In addition, maize agronomic traits and physiological characteristics showed improved performance; in particular, over 1.16% to 14.42% increases were identified in maize yield by AI treatment. Further analysis using a structural equation model (SEM) demonstrated that the AI technology significantly promotes the improvement of root indicators by enhancing soil aeration and soil fertility. As a result, maize yield could be increased significantly and indirectly [ABSTRACT FROM AUTHOR]

Efficient utilization of agricultural wastes and reduction of chemical fertilizer inputs are crucial for sustainable development of agriculture. Plant growth promoting rhizobacteria (PGPR) are widely used as biofertilizers to partially replace chemical fertilizers in agricultural production. The functional performance of PGPR strains is closely related to their root colonization capacity. Some organic acids from root exudates can recruit PGPR to colonize the root. In this study, agricultural organic wastes such as mushroom bran and tobacco waste materials were used to produce organic acids through the hypoxic hydrolysis process. The hydrolysis conditions were optimized to maximize the production of a mixture of complex organic acids from the hypoxic hydrolysis of these materials, employing both single-factor and orthogonal experimental methods. The diluted hydrolysates were tested for their effects on the rhizosphere colonization of the PGPR strain Bacillus amyloliquefaciens SQR9 using fluorogenic quantitative PCR in greenhouse pot experiments. The results demonstrated that hypoxic hydrolysates from tobacco waste and mushroom bran significantly enhanced the colonization of SQR9 in the maize rhizosphere. Specifically, a 2000-fold dilution of tobacco waste hydrolysate yielded the most effective result, while a 5000-fold dilution of mushroom bran hydrolysate provided the best outcome. All treatments combining these hydrolysates with SQR9 significantly increased maize stem dry weight, indicating that with appropriate treatment, such as anaerobic fermentation, these agricultural organic wastes can serve as synergistic agents of microbial fertilizers, contributing to agricultural sustainability. [ABSTRACT FROM AUTHOR]

Introduction: The advent of bevacizumab has considerably transformed the therapeutic landscape for non-small cell lung cancer (NSCLC) patients devoid of specific genetic mutations. A pivotal milestone has been reached with the recent approval of a bevacizumab biosimilar, following rigorous phase III clinical investigations, poised to augment NSCLC therapeutic strategies. Methods: This retrospective analysis encompasses a large-scale study conducted between January 2021 and December 2023, involving 1058 NSCLC patients (metastatic or locally advanced stages). The research design entailed a comparative assessment of the safety and efficacy profiles of combined therapies using the original bevacizumab and its biosimilar, adhering to RECIST v1.1 criteria. Adverse event grading was standardized using the National Cancer Institute’s CTCAE v5.0. Results: Notably, the biosimilar demonstrated an objective response rate (ORR) of 29.79% in 606 patients, closely paralleling the 27.41% ORR observed in 452 patients receiving the original drug, with insignificant risk differences (-0.03) and a risk ratio of 0.987, affirming equivalence. Progression-free survival (PFS) was influenced by radiation status, treatment lines, and regimen combinations, while dosage intensity and genetic factors had negligible impacts. The incidence of treatment-emergent adverse events (TEAEs) was slightly higher in the biosimilar group (75.11%) versus the original drug group (72.78%), with grade 3 or more severe TEAEs occurring in 23.6% and 18.5% of patients, respectively (Detailed criteria for the definition and assessment of TEAEs have been added to the Methods section, including the use of the National Cancer Institute’s CTCAE v5.0 for grading). Conclusions: The study affirms that bevacizumab biosimilars offer equivalent therapeutic efficacy and a similar safety profile to the originator product in the management of locally advanced or metastatic NSCLC. The tolerability of the toxicity profile, coupled with the absence of unforeseen adverse reactions, underscores the viability of biosimilar bevacizumab as a valuable addition to NSCLC treatment regimens. These findings also imply potential benefits for a broader patient population beyond clinical trial confines through the adoption of biosimilar beta-adrenergic blocking agents. [ABSTRACT FROM AUTHOR]

Introduction: Zicaitai (Brassica rapa var. purpuraria) is a Brassica variety renowned for its distinctive taste and rich nutritional profile. In recent years, the mitochondrial genomes of several Brassica species have been documented, but the mitogenome of Zicaitai remains unreported. Methods: In this study, we characterized the Zicaitai mitogenome achieved through the assembly of sequencing reads derived from both the Oxford Nanopore and Illumina platforms. A detailed comparative analysis was carried out with other Brassica species to draw comparisons and contrasts. In-depth analyses of codon usage patterns, instances of RNA editing, and the prevalence of sequence repeats within the mitogenome were also conducted to gain a more nuanced understanding of its genetic architecture. A phylogenetic analysis was performed, utilizing the coding sequences (CDS) from the mitochondrial genome of Zicaitai and that of 20 closely related species/varieties to trace evolutionary connections. Results: The Zicaitai mitogenome is characterized by a circular structure spanning 219,779 base pairs, and it encompasses a total of 59 genes. This gene set includes 33 protein-coding genes, 23 tRNA genes, and 3 rRNA genes, providing a rich foundation for further genomic study. An analysis of the Ka/Ks ratios for 30 protein-coding genes shared by the mitogenomes of Zicaitai and seven other Brassica species revealed that most of these genes had undergone purifying selection. Additionally, the study explored the migration of genes between the chloroplast and nuclear genomes and the mitogenome, offering insights into the dynamics of genetic exchange within the Brassica genus. Discussion: The collective results in this study will serve as a foundational resource, aiding future evolutionary studies focused on B. rapa, and contributing to a broader understanding of the complexities of plant evolution. [ABSTRACT FROM AUTHOR]

Background: Roburic acid (ROB) is a newly discovered tetracyclic triterpene acid extracted from oak galls, which has anti-inflammatory effects, but the mechanism of its anticancer effect is not clear. Our study focuses on exploring the potential mechanism of action of ROB in the treatment of lung cancer using a combination of network pharmacological prediction, molecular docking technique and experimental validation. Methods: A network pharmacology approach was used to screen the protein targets of ROB and lung cancer, and PPI network analysis and enrichment analysis were performed on the intersecting genes. The tissue and organ distribution of the targets was also evaluated based on the BioGPS database. To ensure the reliability of the network pharmacology prediction results, we proceeded to use molecular docking technique to determine the relationship between drugs and targets. Finally, in vitro experiments with cell lines were performed to further reveal the potential mechanism of ROB for the treatment of lung cancer. Results: A total of 83 potential targets of ROB in lung cancer were collected and further screened by using Cytoscape software, and 7 targets of PTGS2, CYP19A1, PTGS1, AR, CYP17A1, PTGES and SRD5A1 were obtained as hub genes and 7 hub targets had good binding energy with ROB. GO and KEGG analysis showed that ROB treatment of lung cancer mainly involves Arachidonic acid metabolism, Notch signaling pathway, cancer pathway and PPAR signaling pathway. The results of in vitro experiments indicated that ROB may inhibit the proliferation and metastasis of lung cancer cells and activate the PPARg signaling pathway, as well as induce cellular autophagy. Conclusions: The results of this study comprehensively elucidated the potential targets and molecular mechanisms of ROB for the treatment of lung cancer, providing new ideas for further lung cancer therapy. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to construct a diagnostic model by exploring the potential predictors of high-risk Papillary Thyroid Microcarcinoma (PTMC) and verifying its reliability. Methods: A retrospective analysis of PTMC patients who underwent surgical treatment from 2004 to 2015 in the SEER database (training set) and the clinical pathological ultrasound information of PTMC patients at the Sichuan Provincial People's Hospital from 2020 to 2022 (external validation set) was conducted. In the training set, univariate and multivariate logistic regression analyses were used to screen independent predictive factors for high-risk PTMC patients in pathology. A nomogram diagnostic model was further constructed. Additionally, ROC curves and calibration curves were drawn to evaluate the efficiency of the model. In the external validation set, the diagnostic model was indirectly evaluated based on preoperative ultrasound imaging features to explore the feasibility and reliability of diagnosing high-risk PTMC through preoperative ultrasound imaging features. Results: A total of 1628 patients were included in the training set, and 530 patients were included in the test set. The independent risk factors for pathological high-risk PTMC were sex, age, tumor maximum diameter, tumor invasive, and cervical lymph nodes (P<0.05). The C-index of the nomogram constructed based on these five factors was 0.947, with an optimal sensitivity of 96.7% and a specificity of 86.0%. The calibration curve showed that the model had high consistency. The area under the curve (AUC) value of the ROC curve for high-risk PTMC predicted by the risk score based on ultrasound features was 0.824 [95% CI (0.789, 0.860)], which was highly consistent with the risk score based on pathological features (k= 0.758, P<0.05). Conclusion: Indirect evaluation of a high-risk PTMC diagnostic model based on preoperative ultrasound imaging features had high predictive efficiency and potential value for clinical application. [ABSTRACT FROM AUTHOR]

Background: Few studies have compared the influencing factors of postpartum depression between primiparous and multiparous women. Therefore, this study is aimed to investigate the prevalence and influencing factors of postpartum depression in primiparous and multiparous women, and provide reference suggestions for clinical nursing. Methods: A total of 429 postpartum women who gave birth at a Maternal and Child Health Hospital in Shandong Province, China, from April to June 2024,were recruited by convenience sampling. A Sociodemographic Questionnaire, Edinburgh Postpartum Depression Scale, Pittsburgh Sleep Quality Index, and Perceived Social Support Scale were used for investigation. SPSS 26.0 was used to analyze the data, and multivariate regression was employed to analyze the influencing factors of postpartum depression between primiparous and multiparous women. Results: The total prevalence of postpartum depression among 429 postpartum women (191 primiparas and 238 multiparas) was 22.14%. The prevalence of postpartum depression among primiparous and multiparous women were 21.99% and 22.27%, respectively, with no statistically significant difference [OR=1.016, 95% CI (0.642, 1.608)]. Sleep quality is a common protective factor for postpartum depression in both primiparous and multiparous women, while perceived social support is another protective factor for multiparous women. The risk factors are different in both two group, there is no risk factor found in primiparous women, the newborns health and women's expectation on newborns gender are risk factors for postpartum depression in multiparous women. Conclusions: Both primiparous and multiparous women have a high risk of postpartum depression. In order to promote the mental health of postpartum women, precise nursing measures should be adopted for different parity of postpartum women in clinical practice. [ABSTRACT FROM AUTHOR]

Background: Aging is marked by the gradual deterioration of cells, tissues, and organs and is a major risk factor for many chronic diseases. Considering the complex mechanisms of aging, traditional Chinese medicine (TCM) could offer distinct advantages. However, due to the complexity and variability of metabolites in TCM, the comprehensive screening of metabolites associated with pharmacology remains a significant issue. Methods: A reliable and integrated identification method based on UPLC-Q Exactive-Orbitrap HRMS was established to identify the chemical profiles of Huan Shao Dan (HSD). Then, based on the theory of sequential metabolism, the metabolic sites of HSD in vivo were further investigated. Finally, a deep learning model and a bioactivity assessment assay were applied to screen potential anti-aging metabolites. Results: This study identified 366 metabolites in HSD. Based on the results of sequential metabolism, 135 metabolites were then absorbed into plasma. A total of 178 peaks were identified from the sample after incubation with artificial gastric juice. In addition, 102 and 91 peaks were identified from the fecal and urine samples, respectively. Finally, based on the results of the deep learning model and bioactivity assay, ginsenoside Rg1, Rg2, and Rc, pseudoginsenoside F11, and jionoside B1 were selected as potential anti-aging metabolites. Conclusion: This study provides a valuable reference for future research on the material basis of HSD by describing the chemical profiles both in vivo and in vitro. Moreover, the proposed screening approach may serve as a rapid tool for identifying potential anti-aging metabolites in TCM. [ABSTRACT FROM AUTHOR]

Background: The prevalence of multimorbidity is increasing, with a notable shift towards younger age groups. Methods: Convenience sampling was employed to select 15,988 young and middle-aged adults in Chongqing as the study population. The Apriori algorithm was used to identify the multimorbidity patterns within this population, while an unordered binary logistic regression model was applied to assess the association between sleep, diet and the risk of multimorbidity. Results: The study population had an average age of 39.2 ± 10.1 years. Apriori association rules revealed that the most prevalent binary chronic disease multimorbidity pattern was dyslipidaemia + hypertension (14.78%), while the most common ternary chronic disease multimorbidity pattern was diabetes + dyslipidaemia + hypertension (9.66%). The logistic regression analysis revealed that a lower rating of sleep quality was associated with an elevated risk of multimorbidity (odds ratio (OR) = 1.17, 95% confidence interval (CI): 1.01, 1.36). Individuals who adhere to a meat-based diet (OR = 1.45, 95% CI: 1.25, 1.68) and those with elevated salt intake (OR = 1.22, 95% CI: 1.01, 1.47) were also observed to have an increased risk of multimorbidity. Additionally, a greater likelihood of multimorbidity was observed among those following a spicy diet (OR = 1.3, 95% CI: 1.11, 1.52) and consuming more oil (OR = 1.16, 95% CI: 1.01, 1.33). Conclusion: A poor sleep quality and a dietary preference for meat-based, salt, spicy and oils were found to be associated with an increased risk of multimorbidity progression among young and middle-aged populations. It is recommended that young and middle-aged adults should pay attention not only to sleep duration but also to sleep quality and improve dietary habits to reduce the likelihood of multimorbidity. [ABSTRACT FROM AUTHOR]

Magnetostrictive Fe-Ga alloys have been demonstrated potentialities for numerous applications, whereas, suffering a tradeoff between large magnetostrictive strain and high sensitivity. Herein, bulk polycrystalline Fe81Ga19 alloys were prepared by laser-beam powder bed fusion (LPBF) and then annealed in magnetic field for manipulating the comprehensive magnetostrictive properties. Results indicate that <001> oriented grains are developed in the LPBF-prepared Fe81Ga19 alloys due to high temperature gradient. After magnetic field annealing (MFA), the magnetic domains within the alloys gradually transformed into well-arranged stripe domains, especially, flat and smooth 90° domains were established in the alloys annealed at 2600 Oe. As a result, the induced <001> orientation grains and 90-domains contributed to an improved effective magnetic anisotropy constant (57.053 kJ/m3), leading to an enhanced magnetostrictive strain of 92 ppm. Moreover, the MFA-treated alloys also displayed enhanced magnetostrictive sensitivity (0.097 ppm/Oe) owing to the smooth domain structures and low dislocation densities, demonstrating a fruitful strain-sensitivity synergy. In addition, good magnetostrictive dynamic response and enhanced compressive yield strength were also observed for the prepared alloys. This work demonstrates that LPBF and MFA might be an attractive strategy to resolve the tradeoff between strain and sensitivity, providing a basis for the preparation of high-performance magnetostrictive materials. [ABSTRACT FROM AUTHOR]

Under the background of the rapid development of "Internet+", the language service industry has experienced profound changes, and this trend has put forward new requirements and challenges for the training and development of English teachers in colleges and universities. Through the integration of Internet technology and language services, teachers not only need to improve their informatization teaching ability but also need to have interdisciplinary vision and innovative thinking, to support the cultivation of composite talents in line with the needs of the times. This paper elaborates on the career development path of college English teachers under the perspective of "Internet + Language Service". It discusses the key measures for future development from improving informatization teaching ability, strengthening scientific research ability, and building a teaching and research community. It has been proved that the development of college English teachers needs to rely on modern technological means and realize the all-round improvement of teaching, research, and service through a systematic cultivation system, to effectively serve the social development and international communication. [ABSTRACT FROM AUTHOR]

Taurine (2-aminoethanesulfonic acid) could reduce serum and liver cholesterol concentrations via regulating expression and the activity of cholesterol 7α-hydroxylase (CYP7A1). To investigate the possible role of calcineurin in taurine upregulating CYP7A1 expression in HepG2 cells under high cholesterol conditions. High cellular cholesterol conditions were achieved using 0.2 mM cholesterol in HepG2 cells. Calcineurin was decreased by FK506 and was depleted in CnAβ-/- cells. HepG2 cells were cultured in a taurine-containing medium for 24 or 48 h. The levels of total intracellular cholesterol were determined by an enzymatic method, and the expression levels of calcineurin, CYP7A1, and key transcriptional regulatory molecules were detected by western blotting. High-cholesterol resulted in increased CYP7A1 and calcineurin expressions. Taurine exhibited cholesterol-lowering effects regardless of low/high cholesterol conditions or calcineurin status. Taurine induced the expression of CYP7A1, which was abolished by inhibiting or deleting calcineurin. Taurine suppressed MEK1/2, p-c-Jun, and SHP-1, key molecules in one inhibitory pathway of CYP7A1 transcription. In contrast, suppression of MEK1/2 but not p-c-Jun or SHP-1 was reversed after completely knocking down calcineurin. Calcineurin is required for taurine's upregulation of CYP7A1 expression through inhibiting MEK1/2, which was partly responsible for taurine's cholesterol-lowering effect. [ABSTRACT FROM AUTHOR]

Sulfur redox reactions render lithium-sulfur (Li-S) batteries with an energy density of > 500 Wh kg-1 but suffer a low practical capacity and fast capacity fade due to sluggish sulfur redox reaction (SRR) kinetics, which lies in the complex reaction process that involves a series of reaction intermediates and proceeds via a cascade reaction. Here, we present a Pt-Cu dual-atom catalyst (Pt/Cu-NG) as an electrocatalyst for sulfur redox reactions. Pt/Cu-NG enabled the rapid conversion of soluble polysulfide intermediates into insoluble Li2S2/Li2S, and consequently, it prevented the accumulation and shuttling of lithium polysulfides, thus outperforming the corresponding singleatom catalysts (SACs) with individual Pt or Cu sites. Operando X-ray absorption spectroscopy and density functional theory calculations revealed that a synergistic effect between the paired Pt and Cu atoms modifies the electronic structure of the Pt site through d-orbital interactions, resulting in an optimal moderate interaction of the metal atom with the different sulfide species. This optimal interaction enhanced charge transfer kinetics and promoted sulfur redox reactions. Our work thus provides important insights on the atomic scale into the synergistic effects operative in dual-atom catalysts and will thus pave the way to electrocatalysts with enhanced efficiency for high-performance Li-S batteries. [ABSTRACT FROM AUTHOR]

One of the most critical axes for cell fate determination is how cells respond to excessive reactive oxygen species (ROS)--oxidative stress. Extensive lipid peroxidation commits cells to death via a distinct cell death paradigm termed ferroptosis. However, the molecular mechanism regulating cellular fates to distinct ROS remains incompletely understood. Through siRNA against human receptor-interacting protein kinase (RIPK) family members, we found that RIPK4 is crucial for oxidative stress and ferroptotic death. Upon ROS induction, RIPK4 is rapidly activated, and the kinase activity of RIPK4 is indispensable to induce cell death. Specific ablation of RIPK4 in kidney proximal tubules protects mice from acute kidney injury induced by cisplatin and renal ischemia/reperfusion. RNA sequencing revealed the dramatically decreased expression of acyl-CoA synthetase medium-chain (ACSM) family members induced by cisplatin treatment which is compromised in RIPK4-deficient mice. Among these ACSM family members, suppression of ACSM1 strongly augments oxidative stress and ferroptotic cell death with induced expression of ACS long-chain family member 4, an important component for ferroptosis execution. Our lipidome analysis revealed that overexpression of ACSM1 leads to the accumulation of monounsaturated fatty acids, attenuation of polyunsaturated fatty acid (PUFAs) production, and thereby cellular resistance to ferroptosis. Hence, knockdown of ACSM1 resensitizes RIPK4 KO cells to oxidative stress and ferroptotic death. In conclusion, RIPK4 is a key player involved in oxidative stress and ferroptotic death, which is potentially important for a broad spectrum of human pathologies. The link between the RIPK4-ASCM1 axis to PUFAs and ferroptosis reveals a unique mechanism to oxidative stress-induced necrosis and ferroptosis. [ABSTRACT FROM AUTHOR]

Background: The systemic immune-inflammation index (SII) is a proven, reliable inflammatory marker of the atherosclerotic process. Additionally, inflammation is one of the most important mechanisms of heart failure (HF) after myocardial infarction (MI). However, it is not clear whether SII is related to the risk of in-hospital HF in patients with MI. Thus, we aimed to explore the relationship between SII and the risk of new-onset in-hospital HF in ST-segment elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (pPCI). Methods: A total of 5586 patients with STEMI underwent pPCI at seven clinical sites in China from January 2015 to August 2021. The patients were divided into two groups based on the SII values. The association between SII and new-onset in-hospital HF in STEMI patients was assessed using logistic regression analysis. Results: Ultimately, 3808 STEMI patients with Killip class I who were treated with pPCI were included. All included patients were divided into two groups based on the calculated SII (Q1 SII: <1707.31 (×109/L), Q2 SII: ≥1707.31 (×109/L)). After unadjusted and multivariate adjustment for age, gender, vital signs, smoking, hypertension, diabetes mellitus, etc., the odds ratio (OR) of the in-hospital HF risk in Q2 was 1.378–1.427 times the Q1 in the calibration Models 1 to 5. Subgroup analysis showed that the OR of Q2 was 1.505-fold higher of Q1 in males and 1.525-fold in older people (≥60 years). Sensitivity analysis showed that after excluding patients who had previously experienced HF, MI, or underwent PCI, elevated SII was still associated with a significant increase in the risk of in-hospital HF. Conclusions: Elevated SII is associated with an increased risk of in-hospital HF in STEMI patients treated with pPCI, particularly in male and older patients. [ABSTRACT FROM AUTHOR]

In this work, a highly sensitive Nd isotopic analysis method by multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS) with ultrasound nebulization-dielectric barrier discharge (UNDBD) vapor generation as sample introduction is developed. The sensitivities of Nd isotopes determined by UNDBD are enhanced about 4.5 fold and 1.5 fold compared to conventional wet plasma and dry plasma, respectively, attributed to the generation of volatile Nd species during the dielectric barrier discharge (DBD) induced vapor generation process. Fractionation of Nd isotopes in UNDBD exhibits a massdependent characteristic, enabling successful correction of the 143Nd/144Nd ratio using the 146Nd/144Nd ratio with an exponential law. The minimum Nd concentration and volume required per analysis by UNDBD-MC-ICP-MS can be as low as 0.5 μg L-1 and 600 mL, thereby minimizing the sampling volume for Nd isotopic analysis in open seawater to 0.7 L. Interferences from residual major ions in seawater, present at mg L-1 level after pretreatment, are found to be negligible for Nd isotopic analysis by UNDBD-MC-ICP-MS. The long-term external precision (2RSD) for 143Nd/144Nd with 1 μg L-1 of Nd using this method is calculated as 64 ppm. The accuracy of 143Nd/144Nd determined by this method has been successfully validated by Nd isotopic standard solutions of GSB 04-3258-2015 and GBW04440. The Nd isotopic ratios determined in several seawater samples by UNDBD are in agreement with results obtained by the dry plasma method. UNDBD demonstrates both higher sensitivity and precision for Nd isotopic analysis compared to wet plasma and dry plasma sample introduction methods, making it more suitable for analyzing open seawater samples with low Nd concentrations and less sampling volume. [ABSTRACT FROM AUTHOR]

Background: According to reports, iron status has been associated with the risk of bone and joint-related diseases. However, the exact role of iron status in the development of these conditions remains uncertain. Method: We obtained genetic data on iron status, specifically serum iron, ferritin, transferrin saturation (TSAT), and transferrin, as well as data on five common bone and joint-related diseases (osteoarthritis, osteoporosis, rheumatoid arthritis [RA], ankylosing spondylitis [AS], and gout) from independent genome-wide association studies involving individuals of European ancestry. Our primary approach for causal estimation utilized the inverse variance weighted (IVW) method. To ensure the reliability of our findings, we applied complementary sensitivity analysis and conducted reverse causal analysis. Result: Using the IVW method, we revealed a positive causal relationship between ferritin levels and the risk of osteoarthritis (OR [95% CI], 1.0114 [1.0021-1.0207]). Besides, we identified a protective causal relationship between serum iron levels and TSAT levels in the risk of RA (OR [95% CI] values of serum iron and TSAT were 0.9987 [0.9973-0.9999] and 0.9977 [0.9966-0.9987], respectively). Furthermore, we found a positive causal relationship between serum iron levels and the risk of AS (OR [95% CI], 1.0015 [1.0005-1.0026]). Regarding gout, both serum iron and TSAT showed a positive causal relationship (OR [95% CI] values of 1.3357 [1.0915-1.6345] and 1.2316 [1.0666-1.4221] for serum iron and TSAT, respectively), while transferrin exhibited a protective causal relationship (OR [95% CI], 0.8563 [0.7802-0.9399]). Additionally, our reverse causal analysis revealed a negative correlation between RA and ferritin and TSAT levels (OR [95% CI] values of serum iron and TSAT were 0.0407 [0.0034-0.4814] and 0.0049 [0.0002-0.1454], respectively), along with a positive correlation with transferrin (OR [95% CI], 853.7592 [20.7108-35194.4325]). To ensure the validity of our findings, we replicated the results through sensitivity analysis during the validation process. Conclusion: Our study demonstrated a significant correlation between iron status and bone and joint-related diseases. [ABSTRACT FROM AUTHOR]

Introduction: The programmed cell death (PCD) plays a key role in the development and progression of lung adenocarcinoma. In addition, immunerelated genes also play a crucial role in cancer progression and patient prognosis. However, further studies are needed to investigate the prognostic significance of the interaction between immune-related genes and cell death in LUAD. Methods: In this study, 10 clustering algorithms were applied to perform molecular typing based on cell death-related genes, immune-related genes, methylation data and somatic mutation data. And a powerful computational framework was used to investigate the relationship between immune genes and cell death patterns in LUAD patients. A total of 10 commonly used machine learning algorithms were collected and subsequently combined into 101 unique combinations, and we constructed an immune-associated programmed cell death model (PIGRS) using the machine learning model that exhibited the best performance. Finally, based on a series of in vitro experiments used to explore the role of PSME3 in LUAD. Results: We used 10 clustering algorithms and multi-omics data to categorize TCGA-LUAD patients into three subtypes. patients with the CS3 subtype had the best prognosis, whereas patients with the CS1 and CS2 subtypes had a poorer prognosis. PIGRS, a combination of 15 high-impact genes, showed strong prognostic performance for LUAD patients. PIGRS has a very strong prognostic efficacy compared to our collection. In conclusion, we found that PSME3 has been little studied in lung adenocarcinoma and may be a novel prognostic factor in lung adenocarcinoma. Discussion: Three LUAD subtypes with different molecular features and clinical significance were successfully identified by bioinformatic analysis, and PIGRS was constructed using a powerful machine learning framework. and investigated PSME3, which may affect apoptosis in lung adenocarcinoma cells through the PI3K/AKT/Bcl-2 signaling pathway. [ABSTRACT FROM AUTHOR]

Pigment is one of the most important metabolites in red yeast rice. However, citrinin may accumulate and cause quality security issues. In the present study, the effect of ascorbic acid (EAA) on the pigment and citrinin was studied, and the metabolic mechanism was discussed using comparative transcriptomics. The introduction of EAA increased the pigment by 58.2% and decreased citrinin by 65.4%. The acid protease activity, DPPH scavenging rate, and total reducing ability also increased by 18.7, 9.0, and 26.7%, respectively. Additionally, a total of 791 differentially expressed genes were identified, and 79 metabolic pathways were annotated, among which carbon metabolism, amino acid metabolism, and fatty acid metabolism were closely related to the biosynthesis of pigment and citrinin. Ethanol dehydrogenase (M pigC), oxidoreductase (M pigE), reductase (M pigH), and monooxygenase (M pigN) may be related to the increase of pigment. ctnC and pksCT contributed to the decline of citrinin. [ABSTRACT FROM AUTHOR]

Tree productivity is not only determined by stand structure, but also influenced by soil chemical properties, climate and topography. However, the relative importance of each indicator on larch (Larix principis-rupprechtii) productivity were uncertain. In this study, 76 pure larch forest plots were selected based on national forest inventory (NFI) data in Hebei Province, China. Structural equation model (SEM) was used to analyze the direct and indirect effects of stand structure, soil chemical properties, climate and topography on larch productivity, and to quantify the relative importance of each indicator in determining productivity. The results showed that stem volume growth (SVG) of larch was influenced by a combination of stand density, diameter at breast height (DBH), mean winter snow (PAS), annual temperature range (TD), slope, and alkali-hydrolysis nitrogen (AN). SVG tended to increase with decreasing stand density and AN content and increasing DBH. Stand density, DBH and AN were more important than PAS, TD, and slope in explaining SVG variation. The results can provide a scientific basis for adaptive management of larch forests. [ABSTRACT FROM AUTHOR]

Background: In the general population, primary human papillomavirus (HPV) testing is advocated for cervical cancer (CC) screening. HPV E6/E7 mRNA (Aptima HPV, AHPV) assays have garnered considerable traction due to their higher specificity when compared with HPV DNA assays. Here, we investigated age-specific primary AHPV screening assays and different triage strategies versus cytology to identify the best approach. Methods: Between April 2018 and December 2021, we recruited female participants from 34 communities across Liaoning province and Qingdao City, China. Primary cervical screening protocols included liquid-based cytology (LBC) and AHPV assays, with females positive for any assays undergoing colposcopy. Genotyping (AHPV-GT) was conducted on all HPV-positive samples. Our primary outcomes were the identification of age-specific detection rates, colposcopy referral rates, and sensitivity and specificity values for high-grade squamous intraepithelial lesions or worse (HSIL+). AHPV and different triage strategy performances were also examined across different age cohorts. Results: Our investigation included 9911 eligible females. Age-specific abnormal cytology rates were in the 6.1%-8.0% range, and were highest in 45-54-year olds. When compared with 35-44-or 45-54-year olds, HPV prevalence was highest in 55-64-year olds (12.2% or 11.6% vs.14.1%, P = 0.048 and P = 0.002, respectively). In 35-44-year olds, AHPV sensitivity for detecting HSIL+ was 96.6 (95% confidence interval [CI]: 89.7-100) - significantly higher than LBC sensitivity (65.5 [95% CI: 48.3-82.8], P < 0.001). When compared with LBC, HSIL+ detection rates by AHPV-GT using reflex LBC triage increased by 31.5% (9.6‰ vs. 7.3‰), and colposcopy referral rates decreased by 16.4% (5.1% vs. 6.1%). In 45-54-year olds, HSIL+ detection rates for AHPV-GT using reflex LBC triage were lower than LBC rates (6.2‰ vs. 6.6‰). In 55-64-year olds, AHPV sensitivity (97.2 [95% CI: 91.7-100.0]) was higher than LBC sensitivity (66.7 [95% CI: 50.0-80.6], P = 0.003). The area under the curve (AUC) value was not significantly different between AHPV-GT with reflex LBC triage and LBC (0.845 [95% CI: 0.771-0.920] vs. 0.812 [95% CI: 0.734-0.891], P = 0.236). Conclusions: Primary AHPV screening using different triage strategies were different across different age cohorts. Thus, AHPV may be an appropriate primary screening method for 35-44 and 55-64 year old females, while AHPV-GT with reflex LBC triage may be more apt for 35-44 year old females. [ABSTRACT FROM AUTHOR]

Entanglement in a soft condensed matter system is enabled in the form of entangled disclination lines by using colloidal particles in nematic liquid crystals. These topological excitations are manifested as colloidal entanglement at equilibrium. How to further utilize nonequilibrium disclination lines to manipulate colloidal entanglement remains a nontrivial and challenging task. In this work, we use experiments and simulations to demonstrate the reconfigurations of nematic colloidal entanglement in light-driven spatiotemporal evolutions of disclination lines. Colloidal entanglement can sense subtle changes in the topological structures of disclination lines and realize chirality conversion. This conversion is manifested as the "domino effect" of the collective rotation of colloids in the disclination lines. By programming the topological patterns and the geometry of the disclination lines, colloidal entanglement can be assembled and split. More remarkably, a double-helix entangled structure can be formed by controlling the changes in the morphology of the disclination lines. Thus, this work will provide opportunities to program colloidal composites for smart materials and micromachines. [ABSTRACT FROM AUTHOR]

Background: Multiple sclerosis (MS), a chronic autoimmune disorder marked by demyelination in the central nervous system, is exceptionally uncommon in China, and remains poorly understood in terms of its peripheral blood manifestations. Methods: We conducted a cohort study comprising 39 MS patients and 40 normal controls (NC). High-dimensional mass cytometry, protein arrays, and targeted metabolomics were utilized to profile immune subsets, proteins, and metabolites in blood. Differences in multi-omics signatures were scrutinized across varying MS subtypes. Results: Immune profiling demonstrated an elevation in various B cell subsets and monocytes, alongside a reduction in dendritic cells among MS patients. Proteomic data revealed a downregulation in neurotrophic and tissue repair proteins. Metabolomic assessment showed a noted decrease in antiinflammatory molecules and sphingolipids. Integrated analysis identified distinct molecular patterns distinguishing MS from controls. Additionally, multi-omics differences among different MS subtypes were uncovered. Notably, hippuric acid levels was consistently lower in MS subgroups with greater disease severity. Conclusion: This study represents the pioneering exploration of multi-omics in Chinese MS patients, presenting a comprehensive view of the peripheral blood changes in MS. Our study underscores the robust capability of multi-omics assessments in identifying peripheral blood biomarkers that delineate the varied clinical presentation, and facilitates future development of biomarkers and targeted therapeutic interventions in MS. [ABSTRACT FROM AUTHOR]