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1.
Medicine (Baltimore) ; 101(37): e30637, 2022 Sep 16.
Artigo em Inglês | MEDLINE | ID: mdl-36123887

RESUMO

To determine the prevalence of sleep disturbance during the coronavirus disease 2019 (COVID-19) pandemic among US adults who are more vulnerable to complications because of age and co-morbid conditions, and to identify associated sociodemographic and psychosocial factors. Cross-sectional survey linked to 3 active clinical trials and 2 cohort studies, conducted between 11/30/2020 and 3/3/2021. Five academic internal medicine practices and 2 federally qualified health centers. A total of 715 adults ages 23 to 91 years living with one or more chronic conditions. A fifth (20%) of participants reported poor sleep. Black adults were twice as likely to report poor sleep compared to Whites. Self-reported poor physical function (51%), stress (42%), depression (28%), and anxiety (36%) were also common and all significantly associated with poor sleep. Age ≥70 years and having been vaccinated for COVID-19 were protective against poor sleep. Sex, education, income, alcohol use, and employment status were not significantly associated with sleep quality. In this diverse sample of adults with chronic conditions, by race, ethnicity, and socioeconomic status, disparities in sleep health amid the ongoing pandemic were apparent. Worse physical function and mental health were associated with poor sleep and should be considered targets for health system interventions to prevent the many subsequent consequences of disturbed sleep on health outcomes. Measurements: self-reported sleep quality, physical function, stress, depression, and anxiety.


Assuntos
COVID-19 , Transtornos do Sono-Vigília , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19/complicações , COVID-19/epidemiologia , Estudos Transversais , Humanos , Pessoa de Meia-Idade , Pandemias , Prevalência , Fatores de Risco , Sono , Transtornos do Sono-Vigília/epidemiologia , Transtornos do Sono-Vigília/psicologia , Adulto Jovem
2.
Immunology ; 2022 Jul 31.
Artigo em Inglês | MEDLINE | ID: mdl-36054617

RESUMO

Mast cells (MCs), central players in allergy and parasitic infections, play key roles in inflammation and fibrosis. Here, the impact of MCs on the progression of Coxsackievirus B3 (CVB3)-induced viral myocarditis (VMC) and fibrosis was investigated using MC-deficient KitW-sh mice. Viral titres, cellular infiltrates and heart pathologies were evaluated and compared with wild-type (WT) mice during acute CVB3 infection of C57BL/6 mice. CVB3 infection induced an increased accumulation and degranulation of MCs in the hearts of mice during acute infection. MC-deficient KitW-sh mice had slightly higher viral titres, decreased VMC and cardiac fibrosis and improved cardiac dysfunction compared to WT mice via decreasing cardiac influx of Ly6Chigh monocytes/macrophages (Mo/Mφ). While bone marrow-derived MC reconstitution decreased viral titre and worsened improved survival and VMC severity in Wsh mice. MC-fibroblasts co-culture revealed a cardiac MC-fibroblasts crosstalk during early infection: fibroblasts trigger MC degranulation and secretion of CCL2 and tumour necrosis factor alpha (TNF-α) via producing early stem cell factor (SCF); while MCs-fibrogenic mediators (TNF-α) stimulate fibroblasts to increase CCL2, α-smooth muscle actin (SMA), collagen and transforming growth factor beta(TGFß) expression, thus aggravating cardiac fibrosis. MCs and fibroblast-derived CCL2s are both essential for cardiac Ly6Chigh Mo/Mφ influx. Administration of recombinant mouse SCF to CVB3-infected mice aggravates VMC via accelerating MCs accumulation and cardiac influx of Ly6Chi Mo/Mφ. Collectively, our data highlight an early MC-fibroblast crosstalk and SCF/MC/CCL2/Mo/Mφ axis as important mechanisms required for triggering VMC and myocardial fibrosis. This finding indicates critical roles of MCs in initiating and modulating cardiac innate response to CVB3 and has an implication in developing new and more effective treatments for VMC.

3.
Annu Int Conf IEEE Eng Med Biol Soc ; 2022: 1354-1357, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-36086543

RESUMO

Propensity score matching (PSM) is a technique used in retrospective investigation of cohort matching as an alternative approach to the prospective matching that is typically used by a randomized control trial (RCT). The process of selecting untreated cases that are the best match to the treated cases is the focus of this research. We created a PSM package for the python environment, termed PsmPy, to carry out this task. The PsmPy package debuted and proposed here is based on a logistic regression logit score where a match is selected using k-nearest neighbors (k-NN). Additional plotting and arguments are available to the user and are also described. To benchmark our method, we compared it with the existing R package, MatchIt, and evaluated our covariates' residual effect sizes with respect to the treatment condition before and after matching. Using a Mann-Whitney statistical test, we showed that our method significantly outperformed MatchIt in cohort matching (U=49, p<0.0001) when comparing residual effect sizes of the covariates. The PsmPy demonstrated a 10-fold average improvement in residual effect sizes amongst covariates when compared with the package MatchIt, suggesting that it is a viable alternative for use in propensity matching studies.


Assuntos
Projetos de Pesquisa , Estudos de Coortes , Humanos , Modelos Logísticos , Pontuação de Propensão , Estudos Retrospectivos
4.
Front Immunol ; 13: 942465, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36045674

RESUMO

Follicular helper T (TFH) cells provide specialized help for B cells to ensure optimal humoral immunity. The histone methyltransferase EZH2, as a chromatin repressor, secures the TFH differentiation by promoting TFH lineage associated gene expression during acute viral infection, including Tcf7 and Bcl6. By using conditional deletion murine system, we observed that EZH2 ablation in CD4+ T cells was accompanied by aberrant accumulation of DNA methyltransferases (DNMTs) DNMT1 and DNMT3B in TFH cells. And the loss of EZH2 promoted aggravation of DNA methylation status at Tcf7 locus. Therefore, our findings suggested that EZH2 plays an important role in maintenance of hypomethylation at Tcf7 locus thus affecting TFH differentiation during acute viral infection.


Assuntos
Metilação de DNA , Proteína Potenciadora do Homólogo 2 de Zeste/metabolismo , Fator 1-alfa Nuclear de Hepatócito/genética , Linfócitos T Auxiliares-Indutores , Viroses , Animais , Diferenciação Celular , Histona Metiltransferases/metabolismo , Camundongos , Viroses/imunologia
5.
Anal Chem ; 2022 Sep 15.
Artigo em Inglês | MEDLINE | ID: mdl-36106626

RESUMO

Biopolymers are considered a promising alternative for information storage, and the most successful implementation has been using chemically synthesized DNA to represent binary data, which has achieved tremendous progress at multiple fronts bridging biotechnology with digital information. Currently, a majority of these systems are lacking the system integration and process automation expected by users of digital data and overly use tubes/vials for DNA storage. Herein, we present a microfluidic platform for automated storage and retrieval of data-encoding oligonucleotide samples enabled by a microvalve network architecture. Our platform, equipped with individually addressable compartments, offers an orthogonal strategy of data partitioning and file indexing with respect to the molecular-based random access implementation, with each partition amounting to an equivalence of 9.5 TB data within a 4 × 2 mm2 area. We examined the functionality of the presented platform and its compatibility with the DNA storage workflow coupled with nanopore sequencing to fully recover the stored files, demonstrating a significantly enhanced degree of function integration and process automation compared to that of the existing microfluidic approach.

6.
Mol Pharm ; 2022 Sep 15.
Artigo em Inglês | MEDLINE | ID: mdl-36107760

RESUMO

Antisense oligonucleotides (ASONs) have generated widespread interest as antitumor agents. Nevertheless, the utility of natural ASONs is limited due to their rapid degradation by intracellular and extracellular nucleases. In this work, we proposed a novel prodrug-type ASON with a dumbbell conformation and a responsive disulfide switch. A degradation assay showed that the dumbbell-shaped ASON (DS-ASON) exhibited stronger stability against enzymatic degradation compared with that of the linear or single-end looped ASON. The native ASON could dissociate via breakage of the disulfide switch when in the reductive microenvironment of a tumor. In addition, an optimal DS-ASON, L2, displayed robust antitumor activity both in vitro and in vivo. This paper presents a new design of nucleic acid-based therapeutics featuring a conformational change that provides improved stability and biological efficacy.

7.
J Biomed Inform ; 134: 104176, 2022 Aug 23.
Artigo em Inglês | MEDLINE | ID: mdl-36007785

RESUMO

OBJECTIVE: For multi-center heterogeneous Real-World Data (RWD) with time-to-event outcomes and high-dimensional features, we propose the SurvMaximin algorithm to estimate Cox model feature coefficients for a target population by borrowing summary information from a set of health care centers without sharing patient-level information. MATERIALS AND METHODS: For each of the centers from which we want to borrow information to improve the prediction performance for the target population, a penalized Cox model is fitted to estimate feature coefficients for the center. Using estimated feature coefficients and the covariance matrix of the target population, we then obtain a SurvMaximin estimated set of feature coefficients for the target population. The target population can be an entire cohort comprised of all centers, corresponding to federated learning, or a single center, corresponding to transfer learning. RESULTS: Simulation studies and a real-world international electronic health records application study, with 15 participating health care centers across three countries (France, Germany, and the U.S.), show that the proposed SurvMaximin algorithm achieves comparable or higher accuracy compared with the estimator using only the information of the target site and other existing methods. The SurvMaximin estimator is robust to variations in sample sizes and estimated feature coefficients between centers, which amounts to significantly improved estimates for target sites with fewer observations. CONCLUSIONS: The SurvMaximin method is well suited for both federated and transfer learning in the high-dimensional survival analysis setting. SurvMaximin only requires a one-time summary information exchange from participating centers. Estimated regression vectors can be very heterogeneous. SurvMaximin provides robust Cox feature coefficient estimates without outcome information in the target population and is privacy-preserving.

8.
Chemosphere ; 307(Pt 2): 135935, 2022 Aug 05.
Artigo em Inglês | MEDLINE | ID: mdl-35940420

RESUMO

In this work, a comparative study of efficient degradation of Rhodamine B (RhB) in CoFe2O4/H2O2 and CoFe2O4/PMS systems was performed. Batch experiments indicated that the RhB degradation rate of CoFe2O4/H2O2 system reached 95.5% at 90 min under the condition of 0.5 g L-1 of CoFe2O4 dosage, 10 mM of H2O2 concentration and 3.0 of initial pH. At certain conditions of initial pH = 7.0, 0.3 g L-1 of CoFe2O4 dosage, 7 mM of PMS concentration, CoFe2O4/PMS system could completely degrade RhB within 90 min. EPR and quenching experiments indicated that •OH was the main active species of CoFe2O4/H2O2 system, and •OH, SO4•-, •O2- and 1O2 participated in RhB degradation of CoFe2O4/PMS system. The circulate of Co(II)/Co(III) and Fe(II)/Fe(III) on the CoFe2O4 surface promoted the formation of free radical species in the two system. In CoFe2O4/PMS system, the formed •O2- and SO5•- realized the generation of non-free radical species (1O2). The LC-MS results indicated that N-de-ethylation, chromophore cleavage, opening rings and mineralization were the main steps for the RhB degradation of the two systems. After five cycles of degradation experiment, the CoFe2O4/H2O2 and CoFe2O4/PMS systems still maintained the high degradation rate (85.2% and 92.4%) and low mass loss (2.7% and 3.09%). In addition, CoFe2O4/PMS system had better potential value for the actual water and multi-pollutant degradation than CoFe2O4/H2O2 system. Finally, the toxicity analysis and cost assessment of the two oxidation systems were preliminarily evaluated.

9.
Zhongguo Dang Dai Er Ke Za Zhi ; 24(8): 908-916, 2022 Aug 15.
Artigo em Inglês, Chinês | MEDLINE | ID: mdl-36036130

RESUMO

OBJECTIVES: To systematically evaluate the risk factors for necrotizing enterocolitis (NEC) in preterm infants. METHODS: PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data were searched for case-control studies and cohort studies on the risk factors for NEC in preterm infants published up to December 2021. RevMan 5.3 software was used to perform the Meta analysis. RESULTS: A total of 38 studies were included (28 case-control studies and 10 cohort studies). The Meta analysis showed that maternal gestational diabetes (OR=2.96, P<0.001), intrahepatic cholestasis during pregnancy (OR=2.53, P<0.001), preeclampsia (OR=1.73, P=0.020), history of neonatal asphyxia (OR=2.13, P<0.001), low gestational age (OR=1.23, P=0.010), sepsis (OR=5.32, P<0.001), patent ductus arteriosus (OR=1.57, P=0.001), congenital heart disease (OR=3.78, P<0.001), mechanical ventilation (OR=2.23, P=0.020), history of antibiotic use (OR=1.07, P<0.001), use of vasopressors (OR=2.34, P=0.040), and fasting (OR=1.08, P<0.001) were risk factors for NEC in preterm infants, while cesarean section (OR=0.73, P=0.004), use of pulmonary surfactant (OR=0.43, P=0.008), and breastfeeding (OR=0.24, P=0.020) were protective factors against NEC. CONCLUSIONS: Maternal gestational diabetes, intrahepatic cholestasis during pregnancy, preeclampsia, low gestational age, fasting, sepsis, patent ductus arteriosus, congenital heart disease, and histories of asphyxia, mechanical ventilation, antibiotic use, and use of vasopressors may increase the risk of NEC in preterm infants, while cesarean section, use of pulmonary surfactant, and breastfeeding may decrease the risk of NEC in preterm infants.


Assuntos
Colestase Intra-Hepática , Diabetes Gestacional , Permeabilidade do Canal Arterial , Enterocolite Necrosante , Doenças do Recém-Nascido , Pré-Eclâmpsia , Surfactantes Pulmonares , Sepse , Antibacterianos , Asfixia , Cesárea , Feminino , Humanos , Lactente , Recém-Nascido , Recém-Nascido Prematuro , Gravidez , Fatores de Risco
10.
Nat Microbiol ; 7(8): 1259-1269, 2022 08.
Artigo em Inglês | MEDLINE | ID: mdl-35918420

RESUMO

Pangolins are the most trafficked wild animal in the world according to the World Wildlife Fund. The discovery of SARS-CoV-2-related coronaviruses in Malayan pangolins has piqued interest in the viromes of these wild, scaly-skinned mammals. We sequenced the viromes of 161 pangolins that were smuggled into China and assembled 28 vertebrate-associated viruses, 21 of which have not been previously reported in vertebrates. We named 16 members of Hunnivirus, Pestivirus and Copiparvovirus pangolin-associated viruses. We report that the L-protein has been lost from all hunniviruses identified in pangolins. Sequences of four human-associated viruses were detected in pangolin viromes, including respiratory syncytial virus, Orthopneumovirus, Rotavirus A and Mammalian orthoreovirus. The genomic sequences of five mammal-associated and three tick-associated viruses were also present. Notably, a coronavirus related to HKU4-CoV, which was originally found in bats, was identified. The presence of these viruses in smuggled pangolins identifies these mammals as a potential source of emergent pathogenic viruses.


Assuntos
COVID-19 , Quirópteros , Animais , Humanos , Mamíferos , Pangolins , SARS-CoV-2/genética
11.
Cancer Lett ; 545: 215852, 2022 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-35926817

RESUMO

Small cell lung cancer (SCLC) is a highly malignant tumor with extremely poor prognosis. The treatment strategy is very limited, and patient outcomes remain dismal with the 5-year survival rate being mere 3-6%. Thus, novel therapeutic strategies for SCLC patients are urgently needed. In this study, we found that the triple-therapy of poly (ADP-ribose) polymerase (PARP) inhibitor, radiotherapy (RT) and anti-PD-1 treatment significantly inhibited tumor growth and prolonged survival in the syngeneic SCLC models in immunocompetent C57BL/6 mice. Mechanistically, we demonstrated that the combination of PARP inhibitor niraparib and RT reshaped an inflamed tumor microenvironment, including activation of the cGAS/STING immune response pathway, induction of immunogenic cell death, and upregulation of PD-L1 on tumor cells. Furthermore, this triple-therapy substantially augmented CD8+ T cell infiltration and activation, and enhanced anti-tumor effects as revealed by increased median survival time and reduced tumor volume without additional myelosuppression or hepatic injury. Together, our studies demonstrated that PARP inhibitor combined with RT potentiated anti-tumor immunity and enhanced the efficacy of anti-PD-1 immunotherapy in preclinical study, which provided a promising therapeutic strategy for SCLC patients in clinic.


Assuntos
Neoplasias Pulmonares , Carcinoma de Pequenas Células do Pulmão , Animais , Antígeno B7-H1 , Linhagem Celular Tumoral , Fatores Imunológicos/uso terapêutico , Imunoterapia , Neoplasias Pulmonares/tratamento farmacológico , Neoplasias Pulmonares/radioterapia , Camundongos , Camundongos Endogâmicos C57BL , Inibidores de Poli(ADP-Ribose) Polimerases/farmacologia , Inibidores de Poli(ADP-Ribose) Polimerases/uso terapêutico , Receptor de Morte Celular Programada 1 , Carcinoma de Pequenas Células do Pulmão/tratamento farmacológico , Carcinoma de Pequenas Células do Pulmão/radioterapia , Microambiente Tumoral
12.
Anim Nutr ; 11: 25-37, 2022 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-36016966

RESUMO

Pyruvate dehydrogenase kinases (PDKs)-pyruvate dehydrogenase E1α subunit (PDHE1α) axis plays an important role in regulating glucose metabolism in mammals. However, the regulatory function of PDKs-PDHE1α axis in the glucose metabolism of fish is not well known. This study determined whether PDKs inhibition could enhance PDHE1α activity, and improve glucose catabolism in fish. Nile tilapia fingerlings (1.90 ± 0.11 g) were randomly divided into 4 treatments in triplicate (30 fish each) and fed control diet without dichloroacetate (DCA) (38% protein, 7% lipid and 45% corn starch) and the control diet supplemented with DCA, which inhibits PDKs through binding the allosteric sites, at 3.75 (DCA3.75), 7.50 (DCA7.50) and 11.25 g/kg (DCA11.25), for 6 wk. The results showed that DCA3.75, DCA7.50 and DCA11.25 significantly increased weight gain, carcass ratio and protein efficiency ratio (P < 0.05) and reduced feed efficiency (P < 0.05) of Nile tilapia. To investigate the effects of DCA on growth performance of Nile tilapia, we selected the lowest dose DCA3.75 for subsequent analysis. Nile tilapia fed on DCA3.75 significantly reduced the mesenteric fat index, serum and liver triglyceride concentration and total lipid content in whole fish, and down-regulated the expressions of genes related to lipogenesis (P < 0.05) compared to the control. The DCA3.75 treatment significantly improved glucose oxidative catabolism and glycogen synthesis in the liver, but significantly reduced the conversion of glucose to lipid (P < 0.05). Furthermore, the DCA3.75 treatment significantly decreased the PDK2/4 gene and protein expressions (P < 0.05), accordingly stimulated PDHE1α activity by decreasing the phosphorylated PDHE1α protein level. In addition, DCA3.75 treatment significantly increased the phosphorylated levels of key proteins involved in insulin signaling pathway and glycogen synthase kinase 3ß (P < 0.05). Taken together, the present study demonstrates that PDK2/4 inhibition by using DCA promotes glucose utilization in Nile tilapia by activating PDHE1α and improving insulin sensitivity. Our study helps to understand the regulatory mechanism of glucose metabolism for improving dietary carbohydrate utilization in farmed fish.

13.
J Clin Med ; 11(16)2022 Aug 17.
Artigo em Inglês | MEDLINE | ID: mdl-36013053

RESUMO

Suicide is a leading cause of death in the US. Patients with pain conditions have higher suicidal risks. In a systematic review searching observational studies from multiple sources (e.g., MEDLINE) from 1 January 2000-12 September 2020, we evaluated existing suicide prediction models' (SPMs) performance and identified risk factors and their derived data sources among patients with pain conditions. The suicide-related outcomes included suicidal ideation, suicide attempts, suicide deaths, and suicide behaviors. Among the 87 studies included (with 8 SPM studies), 107 suicide risk factors (grouped into 27 categories) were identified. The most frequently occurring risk factor category was depression and their severity (33%). Approximately 20% of the risk factor categories would require identification from data sources beyond structured data (e.g., clinical notes). For 8 SPM studies (only 2 performing validation), the reported prediction metrics/performance varied: C-statistics (n = 3 studies) ranged 0.67-0.84, overall accuracy(n = 5): 0.78-0.96, sensitivity(n = 2): 0.65-0.91, and positive predictive values(n = 3): 0.01-0.43. Using the modified Quality in Prognosis Studies tool to assess the risk of biases, four SPM studies had moderate-to-high risk of biases. This systematic review identified a comprehensive list of risk factors that may improve predicting suicidal risks for patients with pain conditions. Future studies need to examine reasons for performance variations and SPM's clinical utility.

14.
BMC Complement Med Ther ; 22(1): 190, 2022 Jul 16.
Artigo em Inglês | MEDLINE | ID: mdl-35842645

RESUMO

BACKGROUND: Atherosclerosis (AS) is the greatest contributor to pathogenesis of atherosclerotic cardiovascular disease (ASCVD), which is associated with increased mortality and reduced quality of life. Early intervention to mitigate AS is key to prevention of ASCVD. Salvianolic acid B (Sal B) is mainly extracted from root and rhizome of Salvia Miltiorrhiza Bunge, and exerts anti-atherosclerotic effect. The purpose of this study was to screen for anti-AS targets of Sal B and to characterize immune cell infiltration in AS. METHODS: We identified targets of Sal B using SEA ( http://sea.bkslab.org/ ) and SIB ( https://www.sib.swiss/ ) databases. GSE28829 and GSE43292 datasets were obtained from Gene Expression Omnibus database. We identified differentially expressed genes (DEGs) and performed enrichment analysis. Weighted gene co-expression network analysis (WGCNA) was used to determine the most relevant module associated with atherosclerotic plaque stability. Intersecting candidate genes were evaluated by generating receiver operating characteristic (ROC) curves and molecular docking. Then, immune cell types were identified using CIBERSOFT and single-sample gene set enrichment analysis (ssGSEA), the relationship between candidate genes and immune cell infiltration was evaluated. Finally, a network-based approach to explore the candidate genes relationship with microRNAs (miRNAs) and Transcription factors (TFs). RESULTS: MMP9 and MMP12 were been selected as candidate genes from 64 Sal B-related genes, 81 DEGs and turquoise module with 220 genes. ROC curve results showed that MMP9 (AUC = 0.815, P<0.001) and MMP12 (AUC = 0.763, P<0.001) were positively associated with advanced atherosclerotic plaques. The results of immune infiltration showed that B cells naive, B cells memory, Plasma cells, T cells CD8, T cells CD4 memory resting, T cells CD4 memory activated, T cells regulatory (Tregs), T cells gamma delta, NK cells activated, Monocytes, and Macrophages M0 may be involved in development of AS, and the candidate genes MMP9 and MMP12 were associated with these immune cells to different degrees. What' s more, miR-34a-5p and FOXC1, JUN maybe the most important miRNA and TFs. CONCLUSION: The anti-AS effects of Sal B may be related to MMP9 and MMP12 and associated with immune cell infiltration, which is expected to be used in the early intervention of AS.


Assuntos
Aterosclerose , MicroRNAs , Placa Aterosclerótica , Aterosclerose/tratamento farmacológico , Aterosclerose/genética , Benzofuranos , Biologia Computacional/métodos , Perfilação da Expressão Gênica/métodos , Redes Reguladoras de Genes , Humanos , Metaloproteinase 12 da Matriz/genética , Metaloproteinase 9 da Matriz/genética , Simulação de Acoplamento Molecular , Placa Aterosclerótica/genética , Mapas de Interação de Proteínas , Qualidade de Vida
15.
ACS Omega ; 7(25): 21808-21819, 2022 Jun 28.
Artigo em Inglês | MEDLINE | ID: mdl-35785320

RESUMO

Eggshell is a cheap and environmentally friendly calcium source. In this study, Ca-modified biochar adsorbents (CEA) were prepared by 1:10, 1:2, and 1:1 mass ratio of the eggshell and Eupatorium adenophorum. The CEA-2 sample prepared with a 1:2 mass ratio showed a maximum Pb adsorption capacity (97.74 mg·g-1) at the conditions of an initial pH of 7.0, an adsorbent dosage of 0.5 g·L-1, and a contact time of 8.0 h. The kinetic and isotherm studies indicated that the adsorption process of the CEA-2 sample had monolayer adsorption characteristics, which was controlled together by intraparticle and interface diffusion. Thermodynamic studies indicated that the adsorption process of CEA-2 was spontaneous (ΔG 0 <0) and endothermic (ΔH 0 > 0). X-ray diffraction and scanning electron microscopy analyses showed a uniform distribution of Ca-Pb precipitation on the CEA-2 surface, which proved that chemical precipitation was the main adsorption mechanism. Fourier transform infrared spectra found that CEA-2 had abundant active groups, especially nitrogen-containing functional groups, which could adsorb Pb through a surface complexation reaction. The Brunauer-Emmett-Teller surface area of CEA-2 was found to be 621 m2·g-1, and such developed pores could ensure the smooth diffusion of Pb. Finally, the effect of coexisting cation and anion experiment and the cyclic regeneration experiment indicated that CEA-2 had prominent stability and reusability for Pb adsorption.

16.
J Am Med Inform Assoc ; 29(9): 1449-1460, 2022 08 16.
Artigo em Inglês | MEDLINE | ID: mdl-35799370

RESUMO

OBJECTIVES: To develop and validate a standards-based phenotyping tool to author electronic health record (EHR)-based phenotype definitions and demonstrate execution of the definitions against heterogeneous clinical research data platforms. MATERIALS AND METHODS: We developed an open-source, standards-compliant phenotyping tool known as the PhEMA Workbench that enables a phenotype representation using the Fast Healthcare Interoperability Resources (FHIR) and Clinical Quality Language (CQL) standards. We then demonstrated how this tool can be used to conduct EHR-based phenotyping, including phenotype authoring, execution, and validation. We validated the performance of the tool by executing a thrombotic event phenotype definition at 3 sites, Mayo Clinic (MC), Northwestern Medicine (NM), and Weill Cornell Medicine (WCM), and used manual review to determine precision and recall. RESULTS: An initial version of the PhEMA Workbench has been released, which supports phenotype authoring, execution, and publishing to a shared phenotype definition repository. The resulting thrombotic event phenotype definition consisted of 11 CQL statements, and 24 value sets containing a total of 834 codes. Technical validation showed satisfactory performance (both NM and MC had 100% precision and recall and WCM had a precision of 95% and a recall of 84%). CONCLUSIONS: We demonstrate that the PhEMA Workbench can facilitate EHR-driven phenotype definition, execution, and phenotype sharing in heterogeneous clinical research data environments. A phenotype definition that integrates with existing standards-compliant systems, and the use of a formal representation facilitates automation and can decrease potential for human error.


Assuntos
Registros Eletrônicos de Saúde , Poli-Hidroxietil Metacrilato , Humanos , Idioma , Fenótipo
17.
Sci Rep ; 12(1): 11549, 2022 07 07.
Artigo em Inglês | MEDLINE | ID: mdl-35798807

RESUMO

Accurately obtaining the spatial distribution information of fruit tree planting is of great significance to the development of fruit tree growth monitoring, disease and pest control, and yield estimation. In this study, the Sentenel-2 multispectral remote sensing imageries of different months during the growth period of the fruit trees were used as the data source, and single month vegetation indices, accumulated monthly vegetation indices (∑VIs), and difference vegetation indices between adjacent months (∆VIs) were constructed as input variables. Four conventional vegetation indices of NDVI, PSRI, GNDVI, and RVI and four improved vegetation indices of NDVIre1, NDVIre2, NDVIre3, and NDVIre4 based on the red-edge band were selected to construct a decision tree classification model combined with machine learning technology. Through the analysis of vegetation indices under different treatments and different months, combined with the attribute of Feature_importances_, the vegetation indices of different periods with high contribution were selected as input features, and the Max_depth values of the decision tree model were determined by the hyperparameter learning curve. The results have shown that when the Max_depth value of the decision tree model of the vegetation indices under the three treatments was 6, 8, and 8, the model classification was the best. The accuracy of the three vegetation index processing models on the training set were 0.8936, 0.9153, and 0.8887, and the accuracy on the test set were 0.8355, 0.7611, and 0.7940, respectively. This method could be applied to remote sensing classification of fruit trees in a large area, and could provide effective technical means for monitoring fruit tree planting areas with medium and high resolution remote sensing imageries.


Assuntos
Frutas , Tecnologia de Sensoriamento Remoto , Tecnologia de Sensoriamento Remoto/métodos
18.
Artigo em Inglês | MEDLINE | ID: mdl-35789464

RESUMO

The performance, mechanisms, and effects of various coexisting ions on phosphorus (P) adsorptive capture in biogas slurry using MgO-doped biochar (MBC) were investigated. The results revealed that in comparison to the pristine biochar, the introduction of MgO significantly improved the P adsorptive capture feasibility of MBC. In addition, the process of P capture by MBC was not affected by the initial pH of the solution. The process of P capture could reach equilibrium within 120 min and be simulated using both the pseudo-first-order and the pseudo-second-order kinetic models. In addition, the highest P capture capacity calculated from the Langmuir isotherm model was approximately 129.35 mg/g. The coexisting of cations including NH4+, Ca2+, Cu2+, Cd2+, Pb2+, Zn2+, and Cr3+ in higher concentrations of promoted P adsorptive capture through precipitation and ionic atmosphere effects. The presence of coexisting ions including SO42-, HCO3-, and fulvic acid (FA) had a certain inhibitory effect on the P adsorptive capture through competitive adsorption with phosphate. The existence of monovalent ions such as K+, Na+, Cl-, and NO3- had no significant effect on P adsorptive capture. The adsorptive capture of P by MBC was affected by various processes including electrostatic attraction and surface complexation, and the presence of different coexisting substances had different impacts on the P adsorption. Adding to these, the P in the biogas slurry was completely adsorbed by the MBC during the experiment, indicating that MBC is a promising composite in the engineering application for the capture of P from wastewater.

19.
Front Oncol ; 12: 754967, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35847870

RESUMO

Malignant myoepithelioma of the head and neck (HNMM) is a rare malignancy, and its characteristics and survival rates have not been well-defined. This study aimed to define the epidemiology of HNMM and identify the prognostic factors associated with the disease. Data on all patients diagnosed with HNMM between 1991 and 2016 were gathered from the Surveillance Epidemiology and End Results (SEER) database. The demographics, clinicopathological characteristics, treatment, and prognoses of the patients were described. Cox regression analysis was used to identify the prognostic factors, and the prognostic nomograms for overall survival (OS) and disease-specific survival (DSS) were constructed. A total of 333 cases of HNMM were identified. The average age at diagnosis was 60.6 years, and 50.1% of the patients were men. After diagnosis, 46.2% of patients underwent surgery alone, 43.5% of patients underwent surgery and radiotherapy, and 3.6% of patients received only radiotherapy. Survival analysis showed that the 5-year OS and DSS for all HNMM patients were 69.7 and 82.1%, respectively. In the multivariate analysis model, the undifferentiated pathological grade (P <0.05) and M1 in the M category (P <0.01) were independent prognostic factors for poor OS and DSS, whereas the use of surgical resection was an independent favorable prognostic factor for both OS and DSS (P <0.05). The prognostic nomograms for OS and DSS prediction were constructed; the C-index values for OS and DSS prediction were 0.78 (95% CI 0.70-0.86) and 0.79 (95% CI 0.67-0.90), respectively. In conclusion, this SEER data-based study demonstrated that HNMM patients often had a favorable prognosis, and distant metastasis, pathological grade, and the use of surgery contributed to their survival. Furthermore, we developed a prognostic nomogram to predict OS and DSS for HNMM patients to aid physicians in the clinical management of this rare disease.

20.
Pediatr Res ; 2022 Jul 29.
Artigo em Inglês | MEDLINE | ID: mdl-35906317

RESUMO

Machine learning models may be integrated into clinical decision support (CDS) systems to identify children at risk of specific diagnoses or clinical deterioration to provide evidence-based recommendations. This use of artificial intelligence models in clinical decision support (AI-CDS) may have several advantages over traditional "rule-based" CDS models in pediatric care through increased model accuracy, with fewer false alerts and missed patients. AI-CDS tools must be appropriately developed, provide insight into the rationale behind decisions, be seamlessly integrated into care pathways, be intuitive to use, answer clinically relevant questions, respect the content expertise of the healthcare provider, and be scientifically sound. While numerous machine learning models have been reported in pediatric care, their integration into AI-CDS remains incompletely realized to date. Important challenges in the application of AI models in pediatric care include the relatively lower rates of clinically significant outcomes compared to adults, and the lack of sufficiently large datasets available necessary for the development of machine learning models. In this review article, we summarize key concepts related to AI-CDS, its current application to pediatric care, and its potential benefits and risks. IMPACT: The performance of clinical decision support may be enhanced by the utilization of machine learning-based algorithms to improve the predictive performance of underlying models. Artificial intelligence-based clinical decision support (AI-CDS) uses models that are experientially improved through training and are particularly well suited toward high-dimensional data. The application of AI-CDS toward pediatric care remains limited currently but represents an important area of future research.

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