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Background: The significant rebound of influenza A (H1N1) virus activity, particularly among children, with rapidly growing number of hospitalized cases is of major concern in the post-COVID-19 era. The present study was performed to establish a prediction model of severe case in pediatric patients hospitalized with H1N1 infection during the post-COVID-19 era. Methods: This is a multicenter retrospective study across nine public tertiary hospitals in Yunnan, China, recruiting pediatric H1N1 inpatients hospitalized at five of these centers between February 1 and July 1, 2023, into the development dataset. Screening of 40 variables including demographic information, clinical features, and laboratory parameters were performed utilizing Least Absolute Shrinkage and Selection Operator (LASSO) regression and logistic regression to determine independent risk factors of severe H1N1 infection, thus constructing a prediction nomogram. Receiver operating characteristic (ROC) curve, calibration curve, as well as decision curve analysis (DCA) were employed to evaluate the model's performance. Data from four independent cohorts comprised of pediatric H1N1 inpatients from another four hospitals between July 25 and October 31, 2023, were utilized to externally validate this nomogram. Results: The development dataset included 527 subjects, 122 (23.1 %) of whom developed severe H1N1 infection. The external validation dataset included 352 subjects, 72 (20.5 %) of whom were eventually confirmed as severe H1N1 infection. The LASSO regression identified 19 candidate predictors, with logistic regression further narrowing down to 11 independent risk factors, including underlying conditions, prematurity, fever duration, wheezing, poor appetite, leukocyte count, neutrophil-lymphocyte ratio (NLR), erythrocyte sedimentation rate (ESR), lactate dehydrogenase (LDH), interleukin-10 (IL-10), and tumor necrosis factor-α (TNF-α). By integrating these 11 factors, a predictive nomogram was established. In terms of prediction of severe H1N1 infection, excellent discriminative capacity, favorable accuracy, and satisfactory clinical usefulness of this model were internally and externally validated via ROC curve, calibration curve, and DCA, respectively. Conclusion: Our study successfully established and validated a novel nomogram model integrating underlying conditions, prematurity, fever duration, wheezing, poor appetite, leukocyte count, NLR, ESR, LDH, IL-10, and TNF-α. This nomogram can effectively predict the occurrence of serious case in pediatric H1N1 inpatients during the post-COVID-19 era, facilitating the early recognition and more efficient clinical management of such patients.
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BACKGROUND: Globally, the majority of kindergarten-aged children face obesity issues and insufficient physical activity (PA) engagement. Regular PA participation can provide various health benefits, including obesity reduction, for kindergarten-aged children. However, limited studies have investigated the factors influencing kindergarten-aged children's PA engagement from the perspective of their teachers. This qualitative study aimed to identify factors that could help promote PA among kindergarten-aged children from teachers' perspectives, including facilitators, barriers, and teachers' recommendations. METHODS: Fifteen kindergarten teachers (age range: 28-50 years; mean age: 38.53 years) with teaching experience ranging from 2 to 31 years (mean: 16.27 years) were recruited from Shanghai municipality, Henan, and Jiangsu provinces in China. One-on-one semi-structured interviews were conducted via face-to-face (n = 7) or telephone (n = 8) to gather insights into factors influencing PA promotion among kindergarten-aged children. The interviews were audio-recorded, transcribed, and analyzed using a constant comparison approach based on grounded theory, which involved open, axial, and selective coding processes. RESULTS: The study revealed mutual theoretical support between themes and the social-ecological model (SEM), as factors identified in the study are distributed at various levels of the SEM. Twelve factors were identified at four levels of the SEM: (1) intrapersonal level (children's personality and skills), (2) interpersonal level (family, peers, and teachers influence), (3) organizational level (school environment and resources, opportunities for kindergarten teachers' training and children's PA, design and organization of PA, and PA that children need), (4) community level (family-school partnerships). CONCLUSION: Various factors at different levels can influence kindergarten-aged children's PA. The study's findings revealed that these factors are distributed across the first four levels of SEM, with the majority being at the organizational level. These multilevel findings are expected to assist in developing and implementing more effective PA interventions for kindergarten-aged children. Future research is warranted to identify strategies for promoting PA among kindergarten-aged children at the policy level of the SEM.
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Exercise , Health Promotion , Qualitative Research , School Teachers , Humans , China , School Teachers/psychology , Female , Exercise/psychology , Male , Health Promotion/methods , Adult , Middle Aged , Child, Preschool , Interviews as Topic , Social Environment , ChildABSTRACT
Herein, a transition-metal-free phosphorylation of benzyl fluorides with P(O)-H compounds is disclosed. In the presence of tBuOK, various benzyl fluorides react with P(O)-H compounds to produce the corresponding benzyl phosphine oxides, phosphinates, and phosphonates in good to high yields. This base-promoted phosphorylation reaction offers a facile and general strategy for the construction of a C(sp3)-P bond.
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Sarcopenic obesity (SO) and osteoporosis (OP) are associated with aging and obesity. The pathogenesis of SO is complex, including glucolipid and skeletal muscle metabolic disorders caused by inflammation, insulin resistance, and other factors. Growing evidence links muscle damage to bone loss. Muscle-lipid metabolism disorders of SO disrupt the balance between bone formation and bone resorption, increasing the risk of OP. Conversely, bones also play a role in fat and muscle metabolism. In the context of aging and obesity, the comprehensive review focuses on the effects of mechanical stimulation, mesenchymal stem cells (MSCs), chronic inflammation, myokines, and adipokines on musculoskeletal, at the same time, the impact of osteokines on muscle-lipid metabolism were also analyzed. So far, exercise combined with diet therapy is the most effective strategy for increasing musculoskeletal mass. A holistic treatment of musculoskeletal diseases is still in the preliminary exploration stage. Therefore, this article aims to improve the understanding of musculoskeletal -fat interactions in SO and OP, explores targets that can provide holistic treatment for SO combined with OP, and discusses current limitations and challenges. We hope to provide relevant ideas for developing specific therapies and improving disease prognosis in the future.
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Programmed cell death (PCD) is a process that eliminates infected, damaged, or possibly neoplastic cells to sustain homeostatic multicellular organisms. Although long noncoding RNAs (lncRNAs) are involved in various types of PCD and regulate tumor growth, invasion, and migration, the role of PCD-related lncRNAs in bladder cancer still lacks systematic exploration. In this research, we integrated multiple types of PCD as pan-PCD and identified eight pan-PCD-related lncRNAs (LINC00174, HCP5, HCG27, UCA1, SNHG15, GHRLOS, CYB561D2, and AGAP11). Then, we generated a pan-PCD-related lncRNA prognostic signature (PPlncPS) with excellent predictive power and reliability, which performed equally well in the E-MTAB-4321 cohort. In comparison with the low-PPlncPS score group, the high-PPlncPS score group had remarkably higher levels of angiogenesis, matrix, cancer-associated fibroblasts, myeloid cell traffic, and protumor cytokine signatures. In addition, the low-PPlncPS score group was positively correlated with relatively abundant immune cell infiltration, upregulated expression levels of immune checkpoints, and high tumor mutation burden (TMB). Immunogenomic profiles revealed that patients with both low PPlncPS scores and high TMB had the best prognosis and may benefit from immune checkpoint inhibitors. Furthermore, for patients with high PPlncPS scores, docetaxel, staurosporine, and luminespib were screened as potential therapeutic candidates. In conclusion, we generated a pan-PCD-related lncRNA signature, providing precise and individualized prediction for clinical prognosis and some new insights into chemotherapy and immune checkpoint inhibitor therapy for bladder cancer.
Subject(s)
Gene Expression Regulation, Neoplastic , RNA, Long Noncoding , Urinary Bladder Neoplasms , Urinary Bladder Neoplasms/genetics , Urinary Bladder Neoplasms/immunology , Urinary Bladder Neoplasms/drug therapy , Urinary Bladder Neoplasms/pathology , Humans , RNA, Long Noncoding/genetics , Prognosis , Biomarkers, Tumor/genetics , Apoptosis/genetics , Gene Expression Profiling , Immune Checkpoint Inhibitors/therapeutic useABSTRACT
Nanozymes are promising antimicrobials, as they produce reactive oxygen species (ROS). However, the intrinsic lack of selectivity of ROS in distinguishing normal flora from pathogenic bacteria deprives nanozymes of the necessary selectivities of ideal antimicrobials. Herein, we exploit the physiological conditions of bacteria (high alkaline phosphatase (ALP) expression) using a novel CuO nanoparticle (NP) nanoenzyme system to initiate an ALP-activated ROS prodrug system for use in the on-demand precision killing of bacteria. The prodrug strategy involves using 2-phospho-L-ascorbic acid trisodium salt (AAP) that catalyzes the ALP in pathogenic bacteria to generate ascorbic acid (AA), which is converted by the CuO NPs, with intrinsic ascorbate oxidase- and peroxidase-like activities, to produce ROS. Notably, the prodrug system selectively kills Escherichia coli (pathogenic bacteria), with minimal influence on Staphylococcus hominis (non-pathogenic bacteria) due to their different levels of ALP expression. Compared to the CuO NPs/AA system, which generally depletes ROS during storage, CuO NPs/AAP exhibits a significantly higher stability without affecting its antibacterial activity. Furthermore, a rat model is used to indicate the applicability of the CuO NPs/AAP fibrin gel in wound disinfection in vivo with negligible side effects. This study reveals the therapeutic precision of this bifunctional tandem nanozyme platform against pathogenic bacteria in ALP-activated conditions.
Subject(s)
Alkaline Phosphatase , Anti-Bacterial Agents , Copper , Disinfection , Escherichia coli , Prodrugs , Reactive Oxygen Species , Copper/chemistry , Copper/pharmacology , Animals , Prodrugs/pharmacology , Prodrugs/chemistry , Alkaline Phosphatase/metabolism , Rats , Anti-Bacterial Agents/pharmacology , Anti-Bacterial Agents/chemistry , Escherichia coli/drug effects , Reactive Oxygen Species/metabolism , Disinfection/methods , Ascorbic Acid/pharmacology , Ascorbic Acid/chemistry , Ascorbic Acid/analogs & derivatives , Metal Nanoparticles/chemistry , Rats, Sprague-Dawley , MaleABSTRACT
OBJECTIVE: To describe how patients choose between primary care institutions (PCIs) and non-PCIs using rational choice theory from the perspective of survival rationality, economic rationality, and social rationality. METHODS: Multi-stage stratified sampling and convenience sampling were applied to select 1723 patients to conduct the questionnaire survey. Chi-square test and binary logistic regression were performed to analyze the factors associated with patients' choice of PCIs. RESULTS: In total 55.83% of 1723 patients would attend a PCIs for healthcare. The results of the univariate analysis revealed that patients who are female (58.46%, Pâ =â .015), suffering from chronic diseases (56.26%, Pâ =â .047), inpatients (67.58%, Pâ <â .001), Beijing (59.62%, Pâ =â .002), partial understanding of the family doctor contracting system (62.30%, Pâ <â .001), and not understanding of the medical alliance policy (58.04%, Pâ =â .031) had significantly higher probability of choosing PCIs. Logistic regression analysis showed that females were more unwilling to attend PCIs (odds ratio (OR)â =â 0.822, 95%CI: 0.676-0.999). Following survival rationality, patients without chronic diseases were more likely to attend PCIs (ORâ =â 1.834, 95%CI: 1.029-3.268), and inpatients were more unlikely to attend PCIs (ORâ =â 0.581, 95%CI: 0.437-0.774). From an economic rationality perspective, patients from the Fujian province were more likely to attend PCIs (ORâ =â 1.424, 95%CI: 1.081-1.876). From a social rationality perspective, patients who partial understanding of the family doctor contracting system were more unlikely to attend PCIs (ORâ =â 0.701, 95%CI: 0.551-0.892), and patients who partial and complete understanding of the medical alliance policy were more likely to attend PCIs (ORâ =â 1.340, 95%CI: 1.064-1.687; ORâ =â 1.485, 95%CI: 1.086-2.030). CONCLUSIONS: Survival, economic, and social rationality are involved in patients' choice to attend PCIs. Compared to survival rationality and social rationality, economic rationality showed a lower association with patients' choice to attend PCIs. Medical institutions are recommended to adopt a "patient health-centered" approach when providing medical services and further optimize the family doctor contracting system and construction of medical alliances.
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OBJECTIVE: Post-stroke depression (PSD) is a prevalent and severe sequela of stroke. It is an emotional disorder that significantly impacts functional recovery, prognosis, secondary stroke risk, and mortality among stroke survivors. The incidence rate of PSD is 18 %â¼33 %, with symptoms such as low mood, decreased interest, sleep disorders, decreased appetite, impaired attention, and in severe cases, hallucinations and even suicidal tendencies. While diverse therapeutic modalities are employed globally to address PSD, each approach carries its inherent advantages and limitations. Notably, acupuncture stands out as a promising and effective intervention for ameliorating PSD symptoms and enhancing stroke prognosis. This study aims to conduct a bibliometric analysis to scrutinize the current landscape, identify hotspots, and explore frontiers in acupuncture research for PSD. METHODS: A systematic search for acupuncture and PSD-related research was conducted from January 2014 to October 2023 on the Web of Science Core Collection (WoSCC). The data were downloaded and processed using Bibliometrix and VOSviewer to generate knowledge visualization maps. RESULTS: A total of 11,540 articles related to acupuncture and PSD were retrieved. China emerged as the leading contributor with the highest volume of articles on acupuncture and PSD. Author Liu CZ attained the highest H-index, focusing primarily on investigating the compatibility effects and mechanisms of acupoints. Common hotspot keywords included pain, stimulation, mechanisms, complementary, and alternative medicine. The main research frontiers were mechanisms, neuroinflammation, gut microbiota, and therapeutic methods. CONCLUSION: This study offered multifaceted insights into acupuncture for PSD, unveiling pivotal areas, research hotspots, and emerging trends. The findings aimed to guide researchers in exploring novel research directions and selecting appropriate journals for advancing the understanding and treatment of PSD through acupuncture interventions.
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Acupuncture Therapy , Bibliometrics , Depression , Stroke , Humans , Stroke/complications , Stroke/therapy , Depression/therapy , Depression/etiologyABSTRACT
BACKGROUND: Knee osteoarthritis (KOA) is a very common musculoskeletal disorder, and patients with KOA often exhibit significant quadriceps femoris muscle atrophy. It is well established that curcumin (CUR) exerts protective effects on skeletal muscle. However, the efficacy of CUR in treating KOA-induced quadriceps femoris muscle atrophy and its underlying mechanisms remain uncertain. In this study, we employed network pharmacology to investigate the mechanism by which CUR promotes regenerative repair of the quadriceps femoris muscle in rats with KOA. METHODS: The potential targets of CUR were obtained from Swiss Target Prediction. The targets of skeletal muscle regeneration were identified from GeneCard and OMIM. A Venn diagram was generated to visualize the intersection of CUR targets and skeletal muscle regeneration targets, and the core targets were identified using STRING. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted using DAVID. Finally, the network pharmacology results were further validated by establishing a KOA rat model using the Hulth method. RESULTS: Network pharmacology analysis and molecular docking results revealed that CUR affects skeletal muscle regeneration through multiple targets and pathways. In vivo experimental results were validated by demonstrating that KOA causes atrophy and induces apoptosis in the quadriceps femoris muscle. Furthermore, CUR was shown to inhibit apoptosis in the quadriceps femoris muscle by regulating STAT3 and FOS, as well as the PI3K/AKT signaling pathway. CONCLUSIONS: Our study revealed the apoptosis-inhibiting effects of CUR and its underlying mechanisms. Consequently, CUR has the potential to improve quadriceps femoris muscle atrophy caused by KOA.
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Organic-metal coordination materials with rich structural diversity are considered as promising electrode materials for rechargeable sodium-ion batteries. However, the electrochemical performance can be constrained by the limited number of active sites and structural instability under the discharge/charge process. Herein, organometallic polymer microspheres (Fe-PDA-220) with a unique d-π conjugated structure was designed and successfully constructed through a simple synchronous polymerization and coordination reactions. Polymerization of phenylenediamine was initiated by Fe3+ and Fe2+ ions generated synchronously during the polymerization integrated with poly-aminoquinone chains to form Fe-C12N8 active centers. Used as electrode materials for sodium-ion batteries, the distinctive Fe-C bond significantly boosts the structural stability, and the π-d conjugation system could facilitate electron transfer. A high reversible capacity of 345 mAh g-1 was delivered at 0.1 A g-1 and a capacity of 106 mAh g-1 was maintained even after discharged/charged at 1.0 A g-1 for 5000 cycles, outperforming most reported coordination materials. Spectroscopic and electronic analyses revealed that a two-electron reaction occurred per active unit, accompanied by the reversible redox evolution of the C=N groups and Fe ions during sodiation/desodiation. This work provides a promising and efficient strategy for boosting the electrochemical performance of organic electrode materials by the design of organometallic polymers.
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The increasing prevalence of drought events poses a major challenge for upcoming crop production. Melatonin is a tiny indolic tonic substance with fascinating regulatory functions in plants. While plants can respond in several ways to alleviate drought stress, the processes underpinning stress sensing and signaling are poorly understood. Hereafter, the objectives of this investigation were to explore the putative functions of melatonin in the regulation of sugar metabolism and abscisic acid biosynthesis in drought-stressed tomato seedlings. Melatonin (100 µM) and/or water were foliar sprayed, followed by the plants being imposed to drought stress for 14 days. Drought stress significantly decreased biomass accumulation, inhibited photosynthetic activity, and stimulated senescence-associated gene 12 (SAG12) expression. Melatonin treatment effectively reversed drought-induced growth retardation as evidenced by increased leaf pigment and water balance and restricted abscisic acid (ABA) accumulation. Sugar accumulation, particularly sucrose content, was higher in drought-imposed seedlings, possibly owing to higher transcription levels of sucrose non-fermenting 1-related protein kinase 2 (SnKR2.2) and ABA-responsive element binding factors 2 (AREB2). Melatonin addition further uplifted the sucrose content, which coincided with increased activity of sucrose synthase (SS, 130%), sucrose phosphate synthase (SPS, 137%), starch degradation encoding enzyme ß-amylase (BAM, 40%) and α-amylase (AMY, 59%) activity and upregulated their encoding BAM1(10.3 folds) and AMY3 (8.1 folds) genes expression at day 14 relative to the control. Under water deficit conditions, melatonin supplementation decreased the ABA content (24%) and its biosynthesis gene expressions. Additionally, sugar transporter subfamily genes SUT1 and SUT4 expression were upregulated by the addition of melatonin. Collectively, our findings illustrate that melatonin enhances drought tolerance in tomato seedlings by stimulating sugar metabolism and negatively regulating ABA synthesis.
Subject(s)
Abscisic Acid , Droughts , Gene Expression Regulation, Plant , Melatonin , Seedlings , Solanum lycopersicum , Sucrose , Abscisic Acid/metabolism , Melatonin/pharmacology , Melatonin/metabolism , Solanum lycopersicum/drug effects , Solanum lycopersicum/genetics , Solanum lycopersicum/physiology , Solanum lycopersicum/metabolism , Seedlings/drug effects , Seedlings/genetics , Seedlings/physiology , Seedlings/metabolism , Sucrose/metabolism , Gene Expression Regulation, Plant/drug effects , Plant Proteins/genetics , Plant Proteins/metabolism , Stress, Physiological , Plant Leaves/metabolism , Plant Leaves/drug effects , Plant Leaves/physiology , Plant Leaves/genetics , Glucosyltransferases/metabolism , Glucosyltransferases/geneticsABSTRACT
While afforestation mitigates climate concerns, the impact of afforestation on ecological assembly processes and multiple soil functions (multifunctionality) in afforested areas remains unclear. The Xiong'an New Area plantation forests (Pinus and Sophora forests) in North China were selected to examine the effects of plantation types across four distinct seasons on soil microbiomes. Three functional categories (nutrient stocks, organic matter decomposition, and microbial functional genes) of multifunctionality and the average (net) multifunctionality were quantified. All these categories are directly related to soil functions. The results showed that net soil multifunctionality as a broad function did not change seasonally, unlike other narrow functional categories. Bacterial communities were deterministically (variable selection and homogenous selection) structured, whereas the stochastic process of dispersal limitation was mainly responsible for the assembly and turnover of fungal and protist communities. In Pinus forests, winter initiates a sudden shift from deterministic to stochastic processes in bacterial community assembly, accompanied by decreased Shannon diversity and heightened nutrient cycling (nutrient stocks and organic matter decomposition). This indicates the potential vulnerability of deterministic assembly to seasonal fluctuations, particularly in environments rich in nutrients. The results predicted that protist community composition was uniquely structured with C-related functional activities relative to bacterial and fungal ß-diversity variations, which were mostly explained by seasonal variations. Our study highlighted the importance of the protist phagocytosis process on soil microbial interactions through the predicted impact of protist α-diversity on microbial cooccurrence network parameters. This association might be driven by the high abundance of protist consumers as the main predators of bacterial and fungal lineages in our sampling plots. Our findings reveal that the complexity of microbial co-occurrence interactions was considerably higher in spring, perhaps attributing thermal variability and increased resource availability within spring that foster microbial diversity and network complexity. This study contributes to local ecosystem prospects to model the behavior of soil biota seasonally and their implied effects on soil functioning and microbial assembly processes, which will benefit global-scale afforestation programs by promoting novel, precise, and rational plantation forests for future environmental sustainability and self-sufficiency.
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BACKGROUND: Decision fatigue is a new concept in the field of psychology and refers to a state of fatigue alongside impaired cognitive processing and emotional regulation ability. Previous studies have confirmed that nurses are prone to decision fatigue, and nurses who experience decision fatigue may implement nursing measures that are inconsistent with clinical evidence, thus affecting patients' benefits. COVID-19, as a large-scale global public health emergency, increased the workload and burden of nurses and aggravated decision fatigue. However, the factors leading to decision fatigue among nurses have not yet been identified. METHODS: This study is guided by interpretative phenomenology. During the epidemic period of COVID-19: From November 2022 to February 2023, a one-to-one, semi-structured in-depth interview was conducted among nurses with decision fatigue experience who were participating in front-line work in Jilin Province using homogenous sampling. The interview recordings and related data were transcribed into text within 24 h, and data analysis was assisted by NVivo 12.0 software. RESULTS: After a total of 14 front-line nurses were analyzed in this study, The thematic level reaches saturation, the findings present a persuasive and coherent narrative, and the study is terminated, and finally extracted and formed three core themes: "Cognition, influence and attitude of decision fatigue", "Approaching factors of decision fatigue" and "Avoidant factors of decision fatigue". CONCLUSION: This study confirmed that decision fatigue was widespread in the work of front-line nurses, affecting the physical and psychological health of nurses, the quality of nursing work, the degree of benefit of patients and the clinical outcome. However, nursing staff do not know enough about decision fatigue, so the popularization and research of decision fatigue should be strengthened. Improve the attention of medical institutions, nursing managers and nursing staff.Some suggestions are put forward for the intervention of decision fatigue through personnel, task, tool and technology, organization and environment.
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Graphene oxide (GO) is a two-dimensional metastable nanomaterial. Interestingly, GO formed oxygen clusterings in addition to oxidized and graphitic phases during the low-temperature thermal annealing process, which could be further used for biomolecule bonding. By harnessing this property of GO, we created a bio-interface with patterned structures with a common laboratory hot plate that could tune cellular behavior by physical contact. Due to the regional distribution of oxygen clustering at the interface, we refer to it as patterned annealed graphene oxide (paGO). In addition, since the paGO was a heterogeneous interface and bonded biomolecules to varying degrees, arginine-glycine-aspartic acid (RGD) was modified on it and successfully regulated cellular-directed growth and migration. Finally, we investigated the FRET phenomenon of this heterogeneous interface and found that it has potential as a biosensor. The paGO interface has the advantages of easy regulation and fabrication, and the one-step thermal reduction method is suitable for biological applications. We believe that this low-temperature thermal annealing method would make GO interfaces more accessible, especially for the development of nano-interfacial modifications for biological applications, revealing its potential for biomedical applications.
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AIM: Diabetic nephropathy (DN) is the most common cause of end-stage kidney disease (ESKD). Remnant cholesterol has been investigated as a predictor for the progression of DN in type 1 diabetes mellitus patients, as well as the incidence of DN in type 2 diabetes mellitus (T2DM) patients. This study aimed to evaluate the longitudinal relationship between baseline remnant cholesterol and kidney outcomes using a Chinese T2DM with biopsy-confirmed DN cohort. METHODS: We included 334 patients with T2DM and biopsy-confirmed DN during 2010-2019 West China Hospital T2DM-DN cohort. Remnant cholesterol was defined by Martin-Hopkins equation. Patients were divided into four groups based on the median (IQR) remnant cholesterol concentration at the time of renal biopsy. The kidney outcome was defined as ESKD, which was defined as the need for chronic kidney replacement therapy or estimated glomerular filtration rate (eGFR) < 15 mL/min/1.73 m2. The relationship between remnant cholesterol and kidney outcome was analyzed using the KaplanâMeier method and Cox regression analysis. RESULTS: The mean age was 51.1 years, and 235 (70%) were men. During follow-up, a total of 121 (36.2%) patients reached ESKD. The KaplanâMeier analysis showed that patients in the highest quartile (quartile 4) group had lower cumulative renal survival (log-rank test, p = 0.033) and shorter median renal survival time [34.0 (26.4-41.6) vs. 55.0 (29.8-80.2) months] than patients in the lowest quartile (quartile 1) group. By univariate analysis, the high remnant cholesterol group was associated with a higher risk of progression to ESKD. Moreover, the risk of progression to ESKD in the highest quartile was still 2.857-fold (95% CI 1.305-6.257, p = 0.009) higher than that in the lowest quartile, and one-SD increase of remnant cholesterol was associated with a higher risk (HR = 1.424; 95% CI 1.075-1.886, p = 0.014) of progression to ESKD, after adjusted for confounding factors. CONCLUSIONS: High remnant cholesterol is independently associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive marker of ESKD. CLINICAL RELEVANCE: Calculated remnant cholesterol has the advantages of being economical and clinically accessible. Moreover, to our knowledge, there are no longitudinal cohort studies for investigating the risk of progression of T2DM-DN to ESKD. In our study, higher remnant cholesterol was associated with a higher risk of ESKD in patients with T2DM-DN, and it may be a new noninvasive predictor of ESKD.
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Notch signaling pathway is activated abnormally in solid and hematological tumors, which perform essential functions in cell differentiation, survival, proliferation, and angiogenesis. The activation of Notch signaling and communication among Notch and other oncogenic pathways heighten malignancy aggressiveness. Thus, targeting Notch signaling offers opportunities for improved survival and reduced disease incidence. Already, most attention has been given to its role in the cancer cells. Recent research shows that natural bioactive compounds can change signaling molecules that are linked to or interact with the Notch pathways. This suggests that there may be a link between Notch activation and the growth of tumors. Here, we sum up the natural bioactive compounds that possess inhibitory effects on human cancers by impeding the Notch pathway and preventing Notch crosstalk with other oncogenic pathways, which provoke further study of these natural products to derive rational therapeutic regimens for the treatment of cancer and develop novel anticancer drugs. This review revealed Notch as a highly challenging but promising target in oncology.
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Mg-Fe layered hydroxide (LDH) was synthesized by the double titration method and added to trimesoyl chloride (TMC) to prepare an Mg-Fe LDH-modified polyamide nanofiltration (NF) membrane by interfacial polymerization (IP). Compared to the pure polyamide NF membrane, the Mg-Fe LDH-modified membrane presented a wrinkled structure and a comparatively smooth surface. Additionally, the permeation flux and rejection rate of the modified NF membrane for 1000 mg L-1 Na2SO4 solution were 61.7 L m-2 h-1 and 95.9%, respectively. When the Mg-Fe LDH modified NF membrane was used to separate dye/NaCl mixed solutions, the rejection of NaCl was less than 17% and the rejection rate of Coomassie Brilliant Blue (CBB) molecules was close to 100%. At the same time, the concentration of CBB increased from 500 mg L-1 to 1151 mg L-1 which means that the LDH modified NF membrane could separate CBB/NaCl effectively and could concentrate CBB at the same time.
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Introduction: Nicotine degradation is a new strategy to block nicotine-induced pathology. The potential of human microbiota to degrade nicotine has not been explored. Aims: This study aimed to uncover the genomic potentials of human microbiota to degrade nicotine. Methods: To address this issue, we performed a systematic annotation of Nicotine-Degrading Enzymes (NDEs) from genomes and metagenomes of human microbiota. A total of 26,295 genomes and 1,596 metagenomes for human microbiota were downloaded from public databases and five types of NDEs were annotated with a custom pipeline. We found 959 NdhB, 785 NdhL, 987 NicX, three NicA1, and three NicA2 homologs. Results: Genomic classification revealed that six phylum-level taxa, including Proteobacteria, Firmicutes, Firmicutes_A, Bacteroidota, Actinobacteriota, and Chloroflexota, can produce NDEs, with Proteobacteria encoding all five types of NDEs studied. Analysis of NicX prevalence revealed differences among body sites. NicX homologs were found in gut and oral samples with a high prevalence but not found in lung samples. NicX was found in samples from both smokers and non-smokers, though the prevalence might be different. Conclusion: This study represents the first systematic investigation of NDEs from the human microbiota, providing new insights into the physiology and ecological functions of human microbiota and shedding new light on the development of nicotine-degrading probiotics for the treatment of smoking-related diseases.