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1.
Heliyon ; 10(15): e35716, 2024 Aug 15.
Artigo em Inglês | MEDLINE | ID: mdl-39170323

RESUMO

Purpose: Capillary Refill Time (CRT) measurement has gained increasing attention in the field of sepsis and septic shock. Recognizing pressure as a fundamental determinant in CRT measurement is crucial for establishing a standardized CRT measurement procedure. In this preliminary study, we elucidated the optimal pressing strength for CRT measurement by analyzing the CRTs measured under varying pressures. Method: Seventeen healthy individuals were enlisted to undergo CRT tests on their fingertips at various pressure levels. The applied force was initiated at 0.5N and incrementally increased by 0.5N until it reached 10.5N. An integrated Photoplethysmography (PPG) device was employed to capture fluctuations in light intensity. The CRT was automatically derived from the PPG signals via a specialized algorithm. The study included correlation assessment and reliability evaluation. Box plot and Bland-Altman plot were used to visualize the impact of pressure levels on CRTs. Results: A dataset of 1414 CRTs across 21 pressures showed significant differences (Kruskal-Wallis test, p < 0.0001), highlighting the impact of pressure on CRT. CRT values between 4.5N and 10.5N pressures varied less, with an Intraclass Correlation Coefficient (ICC) of 0.499 indicating moderate consistency. Notably, CRTs at 10N and 10.5N pressures revealed a high ICC of 0.790, suggesting strong agreement. Conclusion: A pressure range of 4.5N-10.5N is recommended for stable CRT measurements, with 10.0N-10.5N providing optimal consistency and reliability.

2.
Front Pediatr ; 12: 1415941, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39044731

RESUMO

This study examines research perspective in the clinical diagnosis, treatment, and prevention of cardiovascular complications in Kawasaki Disease (KD). Starting with an overview of the disease, it introduces KD's clinical manifestations, etiology, epidemiological features, and its impact on the cardiovascular system. Subsequently, the study discusses in detail the diagnostic methods, pathological mechanisms, and treatment strategies for KD, including foundational and emerging approaches such as high-dose intravenous immunoglobulin and aspirin therapy, biologic therapy, and corticosteroid pulse therapy. Additionally, it outlines strategies for preventing cardiovascular complications, including early risk assessment and long-term management. The study also explores the intersection of the COVID-19 pandemic with an increase in KD-like symptoms, emphasizing the need for further studies on the association between SARS-CoV-2 and KD. Lastly, it explores future research directions to enhance understanding of KD and improve patient outcomes and quality of life. This study provides valuable insights into the comprehensive treatment and management of KD and highlights avenues for future research.

4.
World J Gastroenterol ; 30(23): 2991-3004, 2024 Jun 21.
Artigo em Inglês | MEDLINE | ID: mdl-38946868

RESUMO

BACKGROUND: Colorectal cancer significantly impacts global health, with unplanned reoperations post-surgery being key determinants of patient outcomes. Existing predictive models for these reoperations lack precision in integrating complex clinical data. AIM: To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer patients. METHODS: Data of patients treated for colorectal cancer (n = 2044) at the First Affiliated Hospital of Wenzhou Medical University and Wenzhou Central Hospital from March 2020 to March 2022 were retrospectively collected. Patients were divided into an experimental group (n = 60) and a control group (n = 1984) according to unplanned reoperation occurrence. Patients were also divided into a training group and a validation group (7:3 ratio). We used three different machine learning methods to screen characteristic variables. A nomogram was created based on multifactor logistic regression, and the model performance was assessed using receiver operating characteristic curve, calibration curve, Hosmer-Lemeshow test, and decision curve analysis. The risk scores of the two groups were calculated and compared to validate the model. RESULTS: More patients in the experimental group were ≥ 60 years old, male, and had a history of hypertension, laparotomy, and hypoproteinemia, compared to the control group. Multiple logistic regression analysis confirmed the following as independent risk factors for unplanned reoperation (P < 0.05): Prognostic Nutritional Index value, history of laparotomy, hypertension, or stroke, hypoproteinemia, age, tumor-node-metastasis staging, surgical time, gender, and American Society of Anesthesiologists classification. Receiver operating characteristic curve analysis showed that the model had good discrimination and clinical utility. CONCLUSION: This study used a machine learning approach to build a model that accurately predicts the risk of postoperative unplanned reoperation in patients with colorectal cancer, which can improve treatment decisions and prognosis.


Assuntos
Neoplasias Colorretais , Aprendizado de Máquina , Complicações Pós-Operatórias , Reoperação , Humanos , Masculino , Neoplasias Colorretais/cirurgia , Neoplasias Colorretais/patologia , Feminino , Pessoa de Meia-Idade , Reoperação/estatística & dados numéricos , Estudos Retrospectivos , Fatores de Risco , Medição de Risco/métodos , Medição de Risco/estatística & dados numéricos , Idoso , Complicações Pós-Operatórias/etiologia , Complicações Pós-Operatórias/epidemiologia , Nomogramas , Curva ROC , China/epidemiologia , Adulto
5.
Nutrients ; 16(11)2024 Jun 01.
Artigo em Inglês | MEDLINE | ID: mdl-38892667

RESUMO

Selenium (Se) is an essential trace element for humans and its low or high concentration in vivo is associated with the high risk of many diseases. It is important to identify influential factors of Se status. The present study aimed to explore the association between several factors (Se intake, gender, age, race, education, body mass index (BMI), income, smoking and alcohol status) and blood Se concentration using the National Health and Nutrition Examination Survey 2017-2020 data. Demographic characteristics, physical examination, health interviews and diets were compared among quartiles of blood Se concentration using the Rao-Scott χ2 test. Se levels were compared between the different groups of factors studied, measuring the strength of their association. A total of 6205 participants were finally included. The normal reference ranges of blood Se concentration were 142.3 (2.5th percentile) and 240.8 µg/L (97.5th percentile), respectively. The mean values of dietary Se intake, total Se intake and blood Se concentration of the participants were 111.5 µg/day, 122.7 µg/day and 188.7 µg/L, respectively, indicating they were in the normal range. Total Se intake was the most important contributor of blood Se concentration. Gender, race, education status, income, BMI, smoking and alcohol status were associated with blood Se concentration.


Assuntos
Índice de Massa Corporal , Inquéritos Nutricionais , Selênio , Humanos , Selênio/sangue , Masculino , Feminino , Estudos Transversais , Adulto , Pessoa de Meia-Idade , Estados Unidos , Dieta , Estado Nutricional , Adulto Jovem , Idoso , Consumo de Bebidas Alcoólicas/sangue , Fumar/sangue
6.
Bioresour Technol ; 406: 130978, 2024 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-38879057

RESUMO

Cis-13, 16-docosadienoic acid (DDA) is an omega-6 polyunsaturated fatty acid with great potential for application in medicine and health. Using microbial cell factories for DDA production is considered a viable alternative to extracting DDA from plant seeds. In this study, using Yarrowia lipolytica Po1f (Δku70) as a chassis, firstly, the adaptation of three elongases in Po1f (Δku70) were explored. Secondly, the DDA biosynthetic pathway was redesigned, resulting in a DDA content of 0.046 % of total fatty acids (TFAs). Thirdly, through the "push-pull" strategy, the DDA content increased to 0.078 % of TFAs. By enhancing the supply of acetyl-CoA, the DDA production in the engineered strain YL-7 reached 0.391 % of the TFAs (3.19 mg/L). Through optimizing the fermentation conditions, the DDA titer of YL-7 reached 29.34 mg/L. This research achieves the sustainable biological production of DDA in Y. lipolytica.


Assuntos
Ácidos Graxos Insaturados , Yarrowia , Yarrowia/metabolismo , Yarrowia/genética , Ácidos Graxos Insaturados/metabolismo , Ácidos Graxos Insaturados/biossíntese , Engenharia Metabólica/métodos , Fermentação
7.
Taiwan J Obstet Gynecol ; 63(3): 307-311, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38802192

RESUMO

Trace metals play a vital role in a variety of biological processes, but excessive amounts can be toxic and are receiving increasing attention. Trace metals in the environment are released from natural sources, such as rock weathering, volcanic eruptions, and other human activities, such as industrial emissions, mineral extraction, and vehicle exhaust. Lifestyle, dietary habits and environmental quality are the main sources of human exposure to trace metals, which play an important role in inducing human reproductive infertility. The purpose of this review is to summarize the distribution of various trace metals in oocyte and to identify the trace metals that may cause oocyte used in the design and execution of toxicological studies.


Assuntos
Oócitos , Oligoelementos , Humanos , Oócitos/efeitos dos fármacos , Oligoelementos/análise , Oligoelementos/efeitos adversos , Feminino , Exposição Ambiental/efeitos adversos , Metais Pesados/análise , Metais/efeitos adversos , Metais/análise
8.
Diabetol Metab Syndr ; 16(1): 84, 2024 Apr 16.
Artigo em Inglês | MEDLINE | ID: mdl-38622732

RESUMO

BACKGROUND: Type 2 diabetes mellitus (T2DM), characterized by ß-cell dysfunction and insulin resistance (IR), presents considerable treatment challenges. Apelin is an adipocyte-derived factor that shows promise in improving IR; however, it is limited by poor targeting and a short half-life. In the present study, engineered small extracellular vesicles (sEVs) derived from Wharton's jelly-derived mesenchymal stem cells (WJ-MSCs) loaded with apelin were used to address the limitations of the therapeutic application of apelin. METHODS: WJ-MSCs were transduced to obtain engineered sEVs loaded with overexpressed apelin (apelin-MSC-sEVs) and the control sEVs (MSC-sEVs). T2DM mice were injected with apelin-MSC-sEVs and MSC-sEVs, and blood glucose monitoring, glucose and insulin tolerance tests, confocal microscopy, and immunocytochemical analysis were performed. IR models of 3T3-L1 adipocytes were employed to detect GLUT4 expression in each group using western blotting; the affected pathways were determined by measuring the changes in Akt and AMPK signaling and phosphorylation. RESULTS: Upon successful engineering, WJ-MSCs demonstrated significant overexpression of apelin. The genetic modification did not adversely impact the characteristics of sEVs, ranging from surface protein markers, morphology, to particle size, but generated apelin-overexpressed sEVs. Apelin-MSC-sEVs treatment resulted in notable enhancement of Akt and AMPK pathway activities within 3T3-L1 adipocytes and adipose tissues of T2DM mice. Furthermore, the apelin-loaded sEVs significantly reduced plasma glucose levels, increased pancreatic ß-cell proliferation, improved insulin and glucose tolerance, and modulated pro-inflammatory cytokine profiles, compared to mice treated with the control sEVs. CONCLUSION: Our study developed novel genetically engineered apelin-loaded sEVs derived from WJ-MSCs, and demonstrated their potent role in augmenting insulin sensitivity and regulating inflammatory responses, highlighting their therapeutic promise in T2DM management. The findings open new avenues for the development of clinically viable treatments for T2DM in humans using the apelin-loaded sEVs.

9.
Polymers (Basel) ; 16(7)2024 Mar 22.
Artigo em Inglês | MEDLINE | ID: mdl-38611131

RESUMO

Traditional polymer curing techniques present challenges such as a slow processing speed, high energy consumption, and considerable initial investment. Frontal polymerization (FP), a novel approach, transforms monomers into fully cured polymers through a self-sustaining exothermic reaction, which enhances speed, efficiency, and safety. This study focuses on acrylamide hydrogels, synthesized via FP, which hold significant potential for biomedical applications and 3D printing. Heat conduction is critical in FP, particularly due to its influence on the temperature distribution and reaction rate mechanisms, which affect the final properties of polymers. Therefore, a comprehensive analysis of heat conduction and chemical reactions during FP is presented through the establishment of mathematical models and numerical methods. Existing research on FP hydrogel synthesis primarily explores chemical modifications, with limited studies on numerical modeling. By utilizing Differential Scanning Calorimetry (DSC) data on the curing kinetics of polymerizable deep eutectic solvents (DES), this paper employs Malek's model selection method to establish an autocatalytic reaction model for FP synthesis. In addition, the finite element method is used to solve the reaction-diffusion model, examining the temperature evolution and curing degree during synthesis. The results affirm the nth-order autocatalytic model's accuracy in studying acrylamide monomer curing kinetics. Additionally, factors such as trigger temperature and solution initial temperature were found to influence the FP reaction's frontal propagation speed. The model's predictions on acrylamide hydrogel synthesis align with experimental data, filling the gap in numerical modeling for hydrogel FP synthesis and offering insights for future research on numerical models and temperature control in the FP synthesis of high-performance hydrogels.

10.
Org Lett ; 26(8): 1711-1717, 2024 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-38377588

RESUMO

Herein, we report the phosphonylacylation of alkenes via visible-light-induced N-heterocyclic carbene (NHC) catalysis to afford a series of γ-ketophosphonates in moderate to good yields. This protocol features mild conditions, free of photocatalyst, and good compatibility of functional groups. The excited Breslow enolate intermediate was proposed to undergo single-electron transfer with oxime phosphonate to generate the corresponding ketyl radical and phosphonyl radical.

11.
Comput Struct Biotechnol J ; 23: 316-329, 2024 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38192372

RESUMO

Host-pathogen interactions (HPIs) are vital in numerous biological activities and are intrinsically linked to the onset and progression of infectious diseases. HPIs are pivotal in the entire lifecycle of diseases: from the onset of pathogen introduction, navigating through the mechanisms that bypass host cellular defenses, to its subsequent proliferation inside the host. At the heart of these stages lies the synergy of proteins from both the host and the pathogen. By understanding these interlinking protein dynamics, we can gain crucial insights into how diseases progress and pave the way for stronger plant defenses and the swift formulation of countermeasures. In the framework of current study, we developed a web-based R/Shiny app, Deep-HPI-pred, that uses network-driven feature learning method to predict the yet unmapped interactions between pathogen and host proteins. Leveraging citrus and CLas bacteria training datasets as case study, we spotlight the effectiveness of Deep-HPI-pred in discerning Protein-protein interaction (PPIs) between them. Deep-HPI-pred use Multilayer Perceptron (MLP) models for HPI prediction, which is based on a comprehensive evaluation of topological features and neural network architectures. When subjected to independent validation datasets, the predicted models consistently surpassed a Matthews correlation coefficient (MCC) of 0.80 in host-pathogen interactions. Remarkably, the use of Eigenvector Centrality as the leading topological feature further enhanced this performance. Further, Deep-HPI-pred also offers relevant gene ontology (GO) term information for each pathogen and host protein within the system. This protein annotation data contributes an additional layer to our understanding of the intricate dynamics within host-pathogen interactions. In the additional benchmarking studies, the Deep-HPI-pred model has proven its robustness by consistently delivering reliable results across different host-pathogen systems, including plant-pathogens (accuracy of 98.4% and 97.9%), human-virus (accuracy of 94.3%), and animal-bacteria (accuracy of 96.6%) interactomes. These results not only demonstrate the model's versatility but also pave the way for gaining comprehensive insights into the molecular underpinnings of complex host-pathogen interactions. Taken together, the Deep-HPI-pred applet offers a unified web service for both identifying and illustrating interaction networks. Deep-HPI-pred applet is freely accessible at its homepage: https://cbi.gxu.edu.cn/shiny-apps/Deep-HPI-pred/ and at github: https://github.com/tahirulqamar/Deep-HPI-pred.

12.
Angew Chem Int Ed Engl ; 63(4): e202315061, 2024 Jan 22.
Artigo em Inglês | MEDLINE | ID: mdl-37966368

RESUMO

The development of multimode photopatterning systems based on supramolecular coordination complexes (SCCs) is considerably attractive in supramolecular chemistry and materials science, because SCCs can serve as promising platforms for the incorporation of multiple functional building blocks. Herein, we report a light-responsive liquid-crystalline metallacycle that is constructed by coordination-driven self-assembly. By exploiting its fascinating liquid crystal features, bright emission properties, and facile photocyclization capability, a unique system with spatially-controlled fluorescence-resonance energy transfer (FRET) is built through the introduction of a photochromic spiropyran derivative, which led to the realization of the first example of a liquid-crystalline metallacycle for orthogonal photopatterning in three-modes, namely holography, fluorescence, and photochromism.

13.
Plant Commun ; 5(2): 100766, 2024 Feb 12.
Artigo em Inglês | MEDLINE | ID: mdl-37974402

RESUMO

Bananas (Musa spp.) are one of the world's most important fruit crops and play a vital role in food security for many developing countries. Most banana cultivars are triploids derived from inter- and intraspecific hybridizations between the wild diploid ancestor species Musa acuminate (AA) and M. balbisiana (BB). We report two haplotype-resolved genome assemblies of the representative AAB-cultivated types, Plantain and Silk, and precisely characterize ancestral contributions by examining ancestry mosaics across the genome. Widespread asymmetric evolution is observed in their subgenomes, which can be linked to frequent homologous exchange events. We reveal the genetic makeup of triploid banana cultivars and verify that subgenome B is a rich source of disease resistance genes. Only 58.5% and 59.4% of Plantain and Silk genes, respectively, are present in all three haplotypes, with >50% of genes being differentially expressed alleles in different subgenomes. We observed that the number of upregulated genes in Plantain is significantly higher than that in Silk at one-week post-inoculation with Fusarium wilt tropical race 4 (Foc TR4), which confirms that Plantain can initiate defense responses faster than Silk. Additionally, we compared genomic and transcriptomic differences among the genes related to carotenoid synthesis and starch metabolism between Plantain and Silk. Our study provides resources for better understanding the genomic architecture of cultivated bananas and has important implications for Musa genetics and breeding.


Assuntos
Fusarium , Musa , Musa/genética , Fusarium/genética , Haplótipos , Perfilação da Expressão Gênica , Transcriptoma
14.
Blood Rev ; 64: 101144, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38016837

RESUMO

Artificial intelligence (AI) and its application in classification of blood cells in the peripheral blood film is an evolving field in haematology. We performed a rapid review of the literature on AI and peripheral blood films, evaluating the condition studied, image datasets, machine learning models, training set size, testing set size and accuracy. A total of 283 studies were identified, encompassing 6 broad domains: malaria (n = 95), leukemia (n = 81), leukocytes (n = 72), mixed (n = 25), erythrocytes (n = 15) or Myelodysplastic syndrome (MDS) (n = 1). These publications have demonstrated high self-reported mean accuracy rates across various studies (95.5% for malaria, 96.0% for leukemia, 94.4% for leukocytes, 95.2% for mixed studies and 91.2% for erythrocytes), with an overall mean accuracy of 95.1%. Despite the high accuracy, the challenges toward real world translational usage of these AI trained models include the need for well-validated multicentre data, data standardisation, and studies on less common cell types and non-malarial blood-borne parasites.


Assuntos
Leucemia , Malária , Humanos , Inteligência Artificial , Eritrócitos , Leucócitos , Malária/diagnóstico
15.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-1018444

RESUMO

Objective To investigate the mechanism of Guizhi Fuling Pills in the treatment of polycystic ovary syndrome(PCOS)and endometriosis(EMT).Methods TCMSP was utilized to obtain the active ingredients and related targets of the constituent Chinese medicines of Guizhi Fuling Pills.GeneCards,PharmGKB,and TTD databases were used to screen PCOS and EMT disease targets,respectively.The Venn R diagram was drawn after obtaining the intersecting targets of drugs and diseases using the Venn R package in R software,the drug-active ingredient-potential target interactions network diagram was made in Cytoscape,the intersecting target protein-protein interactions(PPI)network diagram was drawn in the STRING platform,and Cytoscape was used to optimize the PPI network and screen the core targets.R language was applied for Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis,and AutoDockTools was for molecular docking.Results A total of 85 active ingredients and 191 corresponding targets of Guizhi Fuling Pills were obtained,and 77 potential targets of Guizhi Fuling Pills for the treatment of PCOS and EMT.The core active ingredients of Guizhi Fuling Pills for PCOS and EMT were quercetin,β-sitosterol,kaempferol,hederagenin,baicalein,and the core targets were AKT1,EGFR,IL-6,TNF,and TP53.GO functional analysis yielded 2 020 biological process,34 cellular components,126 molecular functions,and KEGG enrichment analysis yielded 165 signaling pathways.Molecular docking showed that the core components in the formula docked well with the targets.Conclusion Guizhi Fuling Pills may regulate the signaling pathways of lipid and atherosclerosis,AGE-RAGE signaling pathway,fluid shear stress and atherosclerosis,and chemical carcinogenesis-receptor activation through quercetin,β-sitosterol,kaempferol,hederagenin,and baicalein,and act on AKT1,EGFR,IL-6,TNF,and TP53,thus treating PCOS and EMT with homotherapy for heteropathy.

16.
Modern Hospital ; (6): 363-366, 2024.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-1022280

RESUMO

Objective To explore the effect of checklist management model on the occurrence of adverse events in pa-tients undergoing digestive endoscopy.Methods 52 patients with digestive endoscopy who adopted conventional management model before the implementation of checklist management model in outpatient department of our hospital from January 2020 to De-cember 2021 were collected as control group,and 57 patients who underwent digestive endoscopy after the implementation of checklist management model from January 2022 to January 2023 were enrolled as test group.Kessler Psychological Distress Scale(K10)and Beck Anxiety Inventory(BAI)before and after examination,levels of cortisol(Cor)and norepinephrine(NE)before and after examination,incidence rates of adverse events and nursing satisfaction were compared between both groups.Results There were no significant differences in K10 score and BAI score between the two groups of subjects before examination(P>0.05).After examination,the K10 score and BAI score in test group of subjects were lower compared with those in control group(P>0.05).Before examination,there were no differences in the Cor and NE levels between the two groups of subjects(P>0.05).After examination,the levels of Cor and NE were increased in both groups(P<0.05),and the levels of Cor and NE were lower in test group than those in control group(P<0.05).The adverse reactions in test group were lower than those in control group(P<0.05).The nursing satisfaction in test group was much higher than that in control group(P<0.05).Conclusion Checklist management model can reduce the incidence rates of adverse reactions and psychological distress degree,relieve the anxiety,reduce the levels of cortisol and norepinephrine,and improve the nursing satisfaction of subjects,and it has clinical promotion value.

17.
Nutrients ; 15(21)2023 Oct 28.
Artigo em Inglês | MEDLINE | ID: mdl-37960231

RESUMO

Skeletal muscle atrophy is a frequent complication after spinal cord injury (SCI) and can influence the recovery of motor function and metabolism in affected patients. Delaying skeletal muscle atrophy can promote functional recovery in SCI rats. In the present study, we investigated whether a combination of body weight support treadmill training (BWSTT) and glycine and N-acetylcysteine (GlyNAC) could exert neuroprotective effects, promote motor function recovery, and delay skeletal muscle atrophy in rats with SCI, and we assessed the therapeutic effects of the double intervention from both a structural and functional viewpoint. We found that, after SCI, rats given GlyNAC alone showed an improvement in Basso-Beattie-Bresnahan (BBB) scores, gait symmetry, and results in the open field test, indicative of improved motor function, while GlyNAC combined with BWSTT was more effective than either treatment alone at ameliorating voluntary motor function in injured rats. Meanwhile, the results of the skeletal muscle myofiber cross-sectional area (CSA), hindlimb grip strength, and acetylcholinesterase (AChE) immunostaining analysis demonstrated that GlyNAC improved the structure and function of the skeletal muscle in rats with SCI and delayed the atrophication of skeletal muscle.


Assuntos
Acetilcisteína , Traumatismos da Medula Espinal , Humanos , Ratos , Animais , Acetilcisteína/metabolismo , Ratos Sprague-Dawley , Acetilcolinesterase/metabolismo , Músculo Esquelético/metabolismo , Atrofia Muscular/tratamento farmacológico , Atrofia Muscular/etiologia , Atrofia Muscular/metabolismo , Peso Corporal , Recuperação de Função Fisiológica/fisiologia
18.
Metab Syndr Relat Disord ; 21(10): 581-589, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-37843920

RESUMO

Background and Purpose: Vitamin D can both stimulate and inhibit adipogenesis, indicating that associations of the vitamin D level with some metabolic disorders may be nonlinear. This cross-sectional study aims to explore potential nonlinear associations of the 25-hydroxy vitamin D [25(OH)D] level with metabolic syndrome (MetS) and its components. Methods: Adults without previously diagnosed specific noncommunicable disease were selected from the National Health and Nutrition Examination Survey 2017-2018 (n = 870). Their demographic, physical, and laboratory data were obtained. The associations of serum 25(OH)D with MetS and its components were analyzed using logistic regression. Restricted cubic spline was applied to flexibly model the nonlinear association if the nonlinearity test was statistically significant. Results: The 25(OH)D level was inversely associated with risk of MetS [adjusted odds ratio (OR) = 0.986; 95% confidence interval (CI) = 0.978-0.993] and most MetS components, but not with the risk of raised triglycerides (adjusted OR = 0.996; 95% CI = 0.988-1.005). The association of serum 25(OH)D with central obesity risk was significantly nonlinear (P for the nonlinearity test: 0.037). The OR for risk of central obesity decreased rapidly with increase in serum 25(OH)D concentration until the concentration reached 50 nmol/L, and then, the intensity of decrease in OR slowed down. Conclusions: Vitamin D is inversely associated with MetS, but not all MetS components. A nonlinear association between the vitamin D level and risk of central obesity has been found for the first time among the adult population, which reflects the complex roles of vitamin D in lipid metabolism. Although vitamin D deficiency (<50 nmol/L) was defined to avoid abnormal calcium and phosphorus metabolism, preventing its deficiency may also be beneficial for reduction of central obesity risk.


Assuntos
Síndrome Metabólica , Deficiência de Vitamina D , Adulto , Humanos , Síndrome Metabólica/diagnóstico , Síndrome Metabólica/epidemiologia , Inquéritos Nutricionais , Obesidade Abdominal/complicações , Estudos Transversais , Vitamina D , Obesidade/epidemiologia , Obesidade/complicações , Vitaminas
19.
Opt Express ; 31(21): 34021-34033, 2023 Oct 09.
Artigo em Inglês | MEDLINE | ID: mdl-37859167

RESUMO

We demonstrate a scheme for the generation of bipartite and tripartite entanglement, as well as he implementation of stable and controllable long-distance one-way and asymmetric two-way steering in a cavity-magnon hybrid system. This system consists of a magnon mode and two coupled microwave cavities. The first cavity is driven by a flux-driven Josephson parametric amplifier, which generates squeezed vacuum fields, and is coupled to the other cavity through optical tunneling interaction. The second cavity and magnon mode are coupled through magnetic dipole interaction. We find that under weak coupling between the two cavities, and strong coupling between the second cavity and magnon mode, remote controllable one-way steering and tripartite entanglement can be achieved. Our scheme may have potential applications in quantum information.

20.
Opt Express ; 31(21): 34764-34778, 2023 Oct 09.
Artigo em Inglês | MEDLINE | ID: mdl-37859225

RESUMO

We investigate the enhancement of entanglement and EPR steering in a parity-time(PT-) symmetric-like cavity-opto-magnomechanical system. The system consists of an optical cavity, a magnon mode in a ferromagnetic crystal, a phonon mode, and a microwave cavity. Our findings demonstrate that microwave-cavity gain significantly boosts distant quantum entanglement and greatly improves the robustness of bipartite entanglement against environment temperature. Additionally, we observe an enhancement of tripartite entanglement within the system and uncover the phenomenon of entanglement transfer. Notably, we also achieve one-way steering and two-way asymmetric steering in the system. This study offers insights into the integration of traditional optomechanics and cavity magnomechanics, presenting a novel approach to manipulate asymmetric quantum steering between two distant macroscopic objects. The implications of our research extend to the fields of quantum state preparation and quantum information.

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