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1.
Clin. transl. oncol. (Print) ; 24(10): 1964–1974, octubre 2022.
Artigo em Inglês | IBECS | ID: ibc-207952

RESUMO

Purpose: Colorectal cancer (CRC) is one of the most common cancer worldwide. It is essential to identify non-invasive diagnostic and prognostic biomarkers of CRC. The aim of the present study was to screen candidate biomarkers in diagnosis and prognosis of CRC based on a novel strategy.Materials and methodsThe expression level of gene higher in cancer than in adjacent non-cancer tissue was defined as “positive”, and the top 10% genes with “positive rate” were filtered out as candidate diagnostic biomarkers in four Gene Expression Omnibus (GEO) datasets. Then, the prognostic value of candidate biomarkers was estimated Cox regression analysis. Moreover, the concentration of biomarker in serum was detected in CRC patients.ResultsEighteen candidate biomarkers were identified with efficient diagnostic value in CRC. As a prognostic biomarker, FJX1 (four-jointed box kinase 1) showed a good performance in predicting overall survivals in CRC patients. In serum levels, FJX1 showed high sensitivity and specificity in distinguishing CRC patients from controls, and the concentration of serum FJX1 was associated with distant metastasis in CRC. In addition, serum FJX1 was significantly decreased after surgery in CRC patients. Compared with traditional CRC biomarkers CEA and CA 19-9, FJX1 still showed good efficiency in diagnosis and prognosis. Moreover, inhibition of FJX1 expression by siRNA or neutralization of secreted FJX1 by antibody could suppress cell proliferation and migration in vitro.ConclusionOur findings provided a novel strategy to identify diagnostic biomarkers based on public datasets, and suggested that FJX1 was a candidate diagnostic and prognostic biomarker in CRC patients. (AU)


Assuntos
Humanos , Biomarcadores Tumorais , Proliferação de Células , Neoplasias Colorretais , Peptídeos e Proteínas de Sinalização Intercelular , Prognóstico
2.
Front Pediatr ; 10: 968997, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36071885

RESUMO

Purpose: To investigate the clinical characteristics, treatment, and prognosis of cryptorchid testicular torsion in children. Methods: The clinical data of 25 children who received treatment for cryptorchid testicular torsion between January 2010 and December 2021 were retrospectively reviewed. The median age of the patients was 64.5 months (range: 2 months to 15 years). All patients had unilateral torsion, and the duration of symptoms ranged from 3 to 192 h. Results: Among the 25 patients, five underwent orchidopexy, while the remaining 20 underwent orchiectomy. After 6 months to 8 years of follow up, the 20 patients who had undergone orchiectomy had a well-developed testis on the healthy side. Four of the five patients who had undergone orchidopexy of the affected testis had well-developed testes bilaterally, while one experienced testicular atrophy. Conclusion: Cryptorchid testicular torsion is a rare urological emergency that displays a delayed presentation and is often misdiagnosed. Clinicians need to carefully review the patient's medical history and ultrasound findings and perform a thorough physical examination to make a correct diagnosis. Active testicular exploration is required for patients suspected to have cryptorchid testicular torsion, and the decision to perform orchidopexy or orchiectomy depends on the intraoperative situation.

3.
Diabetes Metab Syndr Obes ; 15: 2607-2617, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36046759

RESUMO

Purpose: The common cause of blindness in people with type 2 diabetes (T2D) is diabetic retinopathy (DR). Early fundus examinations have been shown to prevent vision loss, but routine ophthalmic screenings for patients with diabetes present significant financial and material challenges to existing health-care systems. The purpose of this study is to build a DR prediction model based on the extreme learning machine (ELM) and to compare the performance with the DR prediction models based on support machine vector (SVM), K proximity (KNN), random forest (RF) and artificial neural network (ANN). Methods: From January 1, 2020 to November 31, 2021, data were collected from electronic inpatient medical records at Lu'an Hospital of Anhui Medical University in China. An extreme learning machine (ELM) algorithm was used to develop a prediction model based on demographic data and blood testing and urine test results. Several metrics were used to evaluate the model's performance: (1) classification accuracy (ACC), (2) sensitivity, (3) specificity, (4) Precision,(5) Negative predictive value (NPV), (6) Training time and (7) area under the receiver operating characteristic (ROC) curve (AUC). Results: In terms of ACC, Sensitivity, Specificity, Precision, NPV and AUC, DR prediction model based on SVM and ELM is better than DR prediction model based on ANN, KNN and RF. The prediction model for diabetic retinopathy based on elm is the best among them in terms of ACC, Precision, Specificity, Training time and AUC, with 84.45%, 83.93%, 93.16%,1.24s, and 88.34%, respectively. The DR prediction model based on SVM is the best in terms of sensitivity and NPV, which are, respectively, 70.82% and 85.60%. Conclusion: According to the findings of this study, the model based on the extreme learning machine presents an outstanding performance in predicting diabetic retinopathy thus providing technological assistance for screening of diabetic retinopathy.

4.
Nanoscale Res Lett ; 17(1): 82, 2022 Sep 02.
Artigo em Inglês | MEDLINE | ID: mdl-36053407

RESUMO

For real-application gas sensors, high performances (response, selectivity, response/recovery time and stability) are demanded. An effective strategy is applying nanomaterials in gas sensors. In this study, the anatase TiO2 flower-like nanomaterials (FLNMs) are prepared through a one-step hydrothermal method which exhibit high-performance toward acetone vapor. TiO2 FLNMs sensors property are characterized at optimal working temperature of 330 °C with selectivity (acetone), response (S = 33.72 toward 250 ppm acetone), linear dependence (R2 = 0.9913), response/recovery time (46/24 s toward 250 ppm acetone) and long-term stability (30 days). These demonstrate that TiO2 FLNMs get a high performance for acetone sensor. Moreover, the limit of detection of acetone is 0.65 ppm which is lower than that of exhaled air for diabetes (0.8 ppm), indicating that TiO2 FLNMs gas sensor gets potential application in medical diagnosis.

5.
ACS Nano ; 2022 Sep 12.
Artigo em Inglês | MEDLINE | ID: mdl-36094867

RESUMO

Sodium ion batteries (SIBs) are expected to take the place of lithium ion batteries (LIBs) as next-generation electrochemical energy storage devices due to the cost advantages they offer. However, due to the larger ion radius, the reaction kinetics of Na+ in anode materials is sluggish. SnS2 is an attractive anode material for SIBs due to its large interlayer spacing and alloying reactions with high capacity. Calcination is usually employed to improve the crystallinity of SnS2, which could affect the Na+ reaction kinetics, especially the pseudocapacitive storage. However, excessively high temperature could damage the well-designed nanostructure of SnS2. In this work, we uniformly grow SnS2 nanosheets on a Zn-, N-, and S-doped carbon skeleton (SnS2@ZnNS). To explore the optimal calcination temperature, SnS2@ZnNS is calcined at three typical temperatures (300, 350, and 400 °C), and the electrochemical performance and Na+ storage kinetics are investigated specifically. The results show that the sample calcined at 350 °C exhibited the best rate capacity and cycle performance, and the reaction kinetics analysis shows that the same sample exhibited a stronger pseudocapacitive response than the other two samples. This improved Na+ storage capability can be attributed to the enhanced crystallinity and the intact nanostructure.

6.
Aging (Albany NY) ; 14(undefined)2022 Sep 08.
Artigo em Inglês | MEDLINE | ID: mdl-36084954

RESUMO

The aging of the immune system, or immunosenescence, was recently verified to have a causal role in driving the aging of solid organs, while the senolytic elimination of senescent immune cells was found to effectively delay systemic aging. Our recent study also showed that immune cells in severely dystrophic muscles develop senescence-like phenotypes, including the increased expression of senescence-associated secretory phenotype (SASP) factors and senescence markers. Here we further investigated whether the specific clearance of senescent immune cells in dystrophic muscle may effectively improve the function of muscle stem cells and the phenotypes of dystrophic muscle. We observed increased percentage of senescent cells in macrophages from mdx/utro(-/-) mice (a murine model for muscular dystrophy disease, dystrophin-/-; utrophin-/-), while the treatment of mdx/utro(-/-) macrophages with senolytic drug fisetin resulted in reduced number of senescent cells. We administrated fisetin to mdx/utro(-/-) mice for 4 weeks, and observed obviously reduced number of senescent immune cells, restored number of muscle cells, and improve muscle phenotypes. In conclusion, our results reveal that senescent immune cells, such as macrophages, are greatly involved in the development of muscle dystrophy by impacting the function of muscle stem cells, and the senolytic ablation of these senescent cells with fisetin can be an effective therapeutic strategy for improving function of muscle stem cells and phenotypes of dystrophic muscles.

7.
Front Oncol ; 12: 964455, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36119487

RESUMO

Purpose: To investigate the values of a 3D-printed bolus ensuring the precise postmastectomy chest wall radiation therapy for breast cancer. Methods and materials: In the preclinical study on the anthropomorphic phantom, the 3D-printed bolus was used for dosimetry and fitness evaluation. The dosimetric parameters of planning target volume (PTV) were assessed, including Dmin, Dmax, Dmean, D95%, homogeneity index (HI), conformity index (CI), and organs at risk (OARs). The absolute percentage differences (|%diff|) between the theory and fact skin dose were also estimated, and the follow-up was conducted for potential skin side effects. Results: In preclinical studies, a 3D-printed bolus can better ensure the radiation coverage of PTV (HI 0.05, CI 99.91%), the dose accuracy (|%diff| 0.99%), and skin fitness (mean air gap 1.01 mm). Of the 27 eligible patients, we evaluated the radiation dose parameter (median(min-max): Dmin 4967(4789-5099) cGy, Dmax 5447(5369-5589) cGy, Dmean 5236(5171-5323) cGy, D95% 5053(4936-5156) cGy, HI 0.07 (0.06-0.17), and CI 99.94% (97.41%-100%)) and assessed the dose of OARs (ipsilateral lung: Dmean 1341(1208-1385) cGy, V5 48.06%(39.75%-48.97%), V20 24.55%(21.58%-26.93%), V30 18.40%(15.96%-19.16%); heart: Dmean 339(138-640) cGy, V30 1.10%(0%-6.14%), V40 0.38%(0%-4.39%); spinal cord PRV: Dmax 639(389-898) cGy). The skin doses in vivo were Dtheory 208.85(203.16-212.53) cGy, Dfact 209.53(204.14-214.42) cGy, and |%diff| 1.77% (0.89-2.94%). Of the 360 patients enrolled in the skin side effect follow-up study (including the above 27 patients), grade 1 was the most common toxicity (321, 89.2%), some of which progressing to grade 2 or grade 3 (32, 8.9% or 7, 1.9%); the radiotherapy interruption rate was 1.1%. Conclusion: A 3D-printed bolus can guarantee the precise radiation dose on skin surface, good fitness to skin, and controllable acute skin toxicity, which possesses a great clinical application value in postmastectomy chest call radiation therapy for breast cancer.

8.
Front Neurol ; 13: 917308, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36119703

RESUMO

Objective: Turn-amplitude clouds were widely used in automatic electromyography (EMG) interference pattern analysis. Earlier works employed the intercept ± 2SD (standard deviation) of the linear regression equation as the upper and lower boundaries of the clouds. The goal of this study was to employ the linear regression method and percentile method to calculate the reference value of turn-amplitude clouds, identify the determining criteria in accordance with the receiver operator characteristic curve (ROC), and analyze the sensitivity and specificity of the linear regression cloud, percentile cloud, and quantitative assessment of the motor unit potential (QMUP). Methods: First, we explore what factors affect the number of turns per second and the mean amplitude. Then, their logarithms were taken for the normal test. All muscle data were used to calculate the reference values of percentile clouds. However, the reference values of the linear regression clouds were obtained for the muscles with a bivariate normal distribution, homogeneous variances and a linear correlation. We calculated the prediction interval with the standard errors of the intercept and slope of the linear regression equation, which can determine the upper and lower boundaries of the linear regression clouds. Furthermore, we obtained ROCs of these clouds, which were used as the determining criteria to determine the optimum cut-off values. Finally, our study analyzed the sensitivity and specificity of the linear regression cloud, percentile cloud, and QMUP. Results: We here presented the reference values and ROCs of the linear regression clouds and percentile clouds. We suggest the determining criteria be based on ROCs. The areas under the curve (AUC) of both clouds are larger than 0.8, revealing that they have significant diagnostic value. Our results display that the specificities of the linear regression clouds, percentile clouds, and QMUP are almost identical to each other, whereas the sensitivity of percentile cloud is higher than those of QMUP and linear regression clouds. Conclusion: According to ROCs, the researchers determine the determining criteria of the linear regression clouds and percentile clouds. Our findings suggest that the percentile clouds possess a wide application range and significant diagnostic value, therefore it may be the optimum for automatic EMG interference pattern analysis.

9.
Front Cardiovasc Med ; 9: 927120, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36119744

RESUMO

Background: Although epidemiological studies have shown a positive relationship between inflammatory bowel disease (IBD) and risk of cardiovascular disease (CVD) outcomes, a solid causal relationship has not been established. Thus, a two-sample Mendelian randomization (MR) study was conducted to explore the potential causal effect between IBD and CVD outcomes. Methods: We performed a two-sample MR analysis to analyze the causal effect of the IBD on CVD outcome by using summary-level genome-wide association studies of European descent. The inverse-variance weighted (IVW) method was used as the main MR analysis, with complementary analyses of MR Egger, maximum likelihood, weighted median, penalized weighted media, simple mode, weighted mode, and MR-PRESSO methods. Multiple sensitivity analyses were used to evaluate the robustness of our results. Results: All P-values were greater than 0.05 in the IVW method, showing no evidence of a causal association between circulating IBD and CVD. Similar results were observed by using other MR methods. No evidence of heterogeneity, pleiotropy, or outlier single-nucleotide polymorphisms was detected. Sensitivity analyses demonstrated the robustness of the results. Conclusion: The findings of this study provided no evidence to support that IBD has a large effect on risk of CVD outcomes, which is in contrast to many previous observational reports. Further studies are needed to determine the potential mechanism of association identified in observational studies.

10.
EBioMedicine ; 84: 104268, 2022 Sep 15.
Artigo em Inglês | MEDLINE | ID: mdl-36116215

RESUMO

BACKGROUND: RNA modifications, including adenosine-to-inosine RNA editing, alternative polyadenylation, m1A and m6A, play a significant role in tumorigenesis and tumor immunity. However, the functions of RNA modification enzymes (writers) in immunotherapy and tumor microenvironment (TME) remain unknown. METHODS: Nonnegative matrix factorization clustering was applied to identify RNA modification clusters in lung adenocarcinoma, one of the most prevalent subtypes of non-small cell lung cancer (NSCLC). CIBERSORT and ESTIMATE algorithms were performed to depict TME characteristics. Additionally, a scoring system called Writer-Score was established to quantify RNA modification patterns and subsequently predict clinical outcomes. We subsequently used RNA sequencing, targeted DNA sequencing and multiplex immunofluorescence to further evaluate the efficacy of Writer-Score in NSCLC patients receiving neoadjuvant immunotherapy. FINDINGS: We identified three distinct RNA modification clusters and two DEGclusters, which were shown to be strongly associated with a variety of TME features and biological processes. Additionally, the Writer-Score served as an important factor in post-transcriptional events and immunotherapy. The Writer-Score was capable of properly predicting the prognosis of NSCLC patients receiving neoadjuvant PD-1 inhibitor therapy. INTERPRETATION: Our work systematically analyzed four types of RNA modifications and constructed a scoring system to guide neoadjuvant immunotherapy in NSCLC, which highlighted the writers' roles in post-transcriptional events, TME and neoadjuvant immunotherapy. FUNDING: A full list of funding bodies that supported this study can be found in the Acknowledgements section.

11.
Comput Intell Neurosci ; 2022: 2988639, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36124113

RESUMO

Text generation has always been limited by the lack of corpus data required for language model (LM) training and the low quality of the generated text. Researchers have proposed some solutions, but these solutions are often complex and will greatly increase the consumption of computing resources. Referring to the current main solutions, this paper proposes a lightweight language model (EDA-BoB) based on text augmentation technology and knowledge understanding mechanism. Experiments show that the EDA-BoB model cannot only expand the scale of the training data set but also ensure the data quality at the cost of consuming little computing resources. Moreover, our model is shown to combine the contextual semantics of sentences to generate rich and accurate texts.

12.
Polymers (Basel) ; 14(17)2022 Aug 25.
Artigo em Inglês | MEDLINE | ID: mdl-36080559

RESUMO

Premature failure caused by inadequate lubrication of an artificial joint is a major problem. Inspired by engine lubrication, in which various additives are used to enforce the oil lubricant, here, a bench test of a biomimetic lubricating fluid containing different substances was carried out. Bovine serum albumin (BSA), in the form of both molecules and nanoparticles, was used as a functional additive. Compared with BSA molecules, BSA nanoparticles dispersed in HA solution served as more effective additives in the biomimetic lubrication fluid to minimize the friction and wear of ceramic orthopedic materials made of zirconium dioxide (ZrO2). Meanwhile, a tribo-acoustic study indicated that the "squeaking" problem associated with ZrO2 could be suppressed by the biomimetic fluid. Together with a cytotoxicity assessment, the BSA nanoparticle-incorporated biomimetic fluid was confirmed as a potential reagent for use in the clinic to maintain an even longer service life of artificial joints.

13.
Transl Lung Cancer Res ; 11(8): 1540-1554, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-36090638

RESUMO

Background: The current N classification, which is determined by the anatomical location of positive lymph nodes, does not effectively stratify N1 and N2 non-small cell lung cancer (NSCLC) patients into prognostically significant subgroups. Methods: We acquired the clinical data of 3,234 N1 and N2 NSCLC patients from the Surveillance, Epidemiology, and End Results (SEER) database (2004-2015). We eliminated patients undergoing chemotherapy or radiation because chemotherapy and radiotherapy might lower lymph node stage, and the SEER database does not distinguish between therapy administered before and after surgery. We developed the N-new classification based on the former N stage, the number and ratio of lymph nodes. Patients were finally classified into four categories (N1a, N1b, N2a, N2b). Then, the N-new classification was validated in subgroups based on a variety of clinical characteristics, such as tumor size. The multivariable Cox regression analysis, the decision curve analysis (DCA) and the time-dependent receiver operating characteristic (ROC) analysis were conducted to compare the performance of the N-new classification and the current N classification. Results: The cancer-specific survival (CSS) and overall survival were significantly different among each pair of N-new classification. And the same results were shown in the majority of the subgroups determined by various clinical characteristics. Compared with the current N classification (C-index, 0.639), the N-new classification (C-index, 0.652) performed better in classifying N1 and N2 NSCLC patients into subgroups with distinctive clinical outcomes. The 5-year CSS rates were 49.7%, 41.4%, 30.4% and 20.4% for N1a, N1b, N2a and N2b, respectively. Conclusions: When compared to the current N classification, the N-new classification could be a more reliable and accurate prognostic determinant, which is worth considering in the revision of the 9th edition of the tumor, node, metastasis (TNM) staging system.

14.
Front Pediatr ; 10: 989112, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36061382

RESUMO

Purpose: This study aimed to evaluate the predictive value of preoperative hematological parameters for testicular salvage in patients with testicular torsion. Methods: Clinical data of patients with testicular torsion treated at Shenzhen Children's Hospital from January 2010 to December 2021 were analyzed retrospectively. The data collected included age, symptom duration, degree of spermatic cord torsion, the surgical approach adopted, hematological parameters, and ultrasound results during postoperative follow-up. Results: The study participants were classified into three groups as follows: the successful testicular salvage group (n = 43), failed testicular salvage group (n = 124), and control group (n = 100). Univariate analysis showed that testicular salvage was related to patient age, duration of symptoms, spermatic cord torsion degree, white blood cell count, lymphocyte count, monocyte count, platelet-lymphocyte ratio, and neutrophil-lymphocyte ratio. However, multivariate analysis revealed that symptom duration (OR = 0.948, P < 0.001), degree of spermatic cord torsion (OR = 0.994, P < 0.001), and monocyte count (OR = 0.020, P = 0.011) were independent risk factors for testicular torsion salvage. The monocyte count in the failed salvage group was significantly higher than in the successful salvage and control groups (P < 0.01). Conclusion: Monocyte count is an independent predictor of testicular salvage. Therefore, clinicians can predict the success rate of testicular salvage in patients with testicular torsion based on the monocyte count.

15.
Clin Transl Oncol ; 2022 Sep 06.
Artigo em Inglês | MEDLINE | ID: mdl-36068448

RESUMO

Myelodysplastic syndrome (MDS) consists of a group of hematologic tumors that are derived from the clonal proliferation of hematopoietic stem cells, featuring abnormal hematopoietic cell development and ineffective hematopoiesis. Animal models are an important scientific research platform that has been widely applied in the research of human diseases, especially tumors. Animal models with MDS can simulate characteristic human genetic variations and tumor phenotypes. They also provide a reliable platform for the exploration of the pathogenesis and diagnostic markers of MDS as well as for a drug efficacy evaluation. This paper reviews the research status of three animal models and a new spontaneous mouse model with MDS.

16.
Mol Pain ; : 17448069221127811, 2022 Sep 07.
Artigo em Inglês | MEDLINE | ID: mdl-36069070

RESUMO

BACKGROUND: Noncoding microRNAs have emerged as critical players of gene expression in the nervous system, where they contribute to regulating nervous disease. As stated in previous research, the miR-155-5p upregulation happens in the spinal cord at the nociceptive state. It was unclear if miR-155-5p is linked to bone cancer pain (BCP). Herein, we aimed at investigating the miR-155-5p functional regulatory function in BCP process and delineating the underlying mechanism. METHODS: The miRNA-155-5p levels and cellular distribution were determined by RNA sequencing, fluorescent in situ hybridization (FISH), and quantitative real-time PCR (qPCR). Immunoblotting, qPCR, dual-luciferase reporter gene assays, immunofluorescence, recombinant overexpression adeno-associated virus, small interfering RNA, intraspinal administration, and behavioral tests were utilized for exploring the downstream signaling pathway. RESULTS: The miR-155-5p high expression in spinal neurons contributes to BCP maintenance. The miR-155-5p blockage via the intrathecal injection of miR-155-5p antagomir alleviated the pain behavior; in contrast, upregulating miR-155-5p by agomir induced pain hypersensitivity. The miR-155-5p bounds directly to TCF4 mRNA's 3' UTR. BCP significantly reduced protein expression of TCF4 versus the Sham group. The miR-155-5p inhibition relieved the spinal TCF4 protein's down-expression level, while miR-155-5p upregulation by miR-155-5p agomir intrathecal injection decreased TCF4 protein expression in naïve rats. Additionally, TCF4 overexpression in BCP rats could increase Kv1.1. Moreover, TCF4 knockdown inhibited Kv1.1 expression in BCP rats. Indeed, TCF4 and Kv1.1 were co-expressed in BCP spinal cord neurons. CONCLUSION: The study findings stated the miR-155-5p pivotal role in regulating BCP by directly targeting TCF4 in spinal neurons and suggested that miR-155 could be a promising target in treating BCP.

17.
Nanoscale ; 2022 Sep 07.
Artigo em Inglês | MEDLINE | ID: mdl-36069434

RESUMO

One crucial target of research on spintronics is to achieve flexibly tunable and highly efficient spin-polarized electronic current. In this work, by using first-principles calculations and topological characterization theories, we propose an intrinsic half-Chern insulator (HCI) in a Ni2I2 monolayer, which possesses 100% spin-polarized topologically nontrivial edge states, distinct from ordinary Chern insulators. Its band gap is formed due to the lifting of the double degeneracy of non-Dirac bands composed of Ni dxz/dyz orbitals. The HCI becomes a half semiconductor (HS) or a combined state of a half metal (HM) and an HCI if biaxial strain is applied. The phase transition is found to be associated with the unique anisotropy of the bands, originating from the diverse orbital distributions and the opposite moving in energy of Ni dxy and dxz/dyz bands under the strain. Our findings demonstrate that the monolayer Ni2I2 is a unique Chern insulator with ideal spintronic properties, supporting versatile applications in spintronic devices with very high spin polarization and extremely low-power dissipation.

18.
Int J Mol Sci ; 23(17)2022 Aug 26.
Artigo em Inglês | MEDLINE | ID: mdl-36077064

RESUMO

The rhizospheric melatonin application-induced drought tolerance has been illuminated in various plant species, while the roles of the rhizosphere microbial community in this process are still unclear. Here, the diversity and functions of the rhizosphere microbial community and related physiological parameters were tested in barley under the rhizospheric melatonin application and drought. Exogenous melatonin improved plant performance under drought via increasing the activities of non-structural carbohydrate metabolism enzymes and activating the antioxidant enzyme systems in barley roots under drought. The 16S/ITS rRNA gene sequencing revealed that drought and melatonin altered the compositions of the microbiome. Exogenous melatonin increased the relative abundance of the bacterial community in carbohydrate and carboxylate degradation, while decreasing the relative abundance in the pathways of fatty acid and lipid degradation and inorganic nutrient metabolism under drought. These results suggest that the effects of melatonin on rhizosphere microbes and nutrient condition need to be considered in its application for crop drought-resistant cultivation.


Assuntos
Hordeum , Melatonina , Microbiota , Secas , Melatonina/farmacologia , Raízes de Plantas , Rizosfera , Microbiologia do Solo
19.
Bioorg Med Chem Lett ; 75: 128969, 2022 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-36058469

RESUMO

A series of novel thienopyridine derivatives were designed and synthesized as P2Y12 receptor inhibitors. Several solid compounds were assessed for inhibitory effect where they exhibited stronger potency than clopidogrel. Compound 6b and 6g were evaluated for metabolism to verify that they could overcome clopidogrel resistance and for toxicity where they showed lower toxicity than prasugrel. Compound 6b exhibited lower risk of bleeding than prasugrel and showed good stability under stress testing. Overall, as a promising antiplatelet agent, representative compound 6b showed the following advantages: (1) no drug resistance for CYP2C19 poor metabolizers; (2) higher potency than clopidogrel; (3) lower toxicity than prasugrel; (4) lower risk of bleeding than prasugrel; (5) good stability as a non-salt solid.

20.
Sci Total Environ ; : 158648, 2022 Sep 09.
Artigo em Inglês | MEDLINE | ID: mdl-36096212

RESUMO

Reducing the water content of waste activated sludge (WAS) is critical for sludge treatment and disposal in wastewater treatment plants (WWTPs). In this study, a new combined conditioning processes by using lysozyme (LZM) and free nitrous acid (FNA) were proposed and demonstrated to enhance the dewaterability of WAS. The water content of sludge cake dropped from 82.82 % to 68.42 % (1 h FNA treatment + 1 h LZM treatment) and 69.52 % (6 h FNA treatment + 1 h LZM treatment) with the combined FNA and LZM treatment; and the corresponding capillary suction time (CST) reduction efficiency increased 49.29 % (1 h FNA treatment + 1 h LZM treatment) and 52.98 % (6 h FNA treatment + 1 h LZM treatment). A comprehensive investigation conducted in this study revealed the underlying mechanism of dewaterability improvement lies in the transformations of extracellular polymeric substances (EPS). The combined conditioning led to enhanced hydrophobicity in the sludge, as suggested by FTIR protein secondary structure and interfacial free energy. The reduced zeta potential and the potential barrier indicated the reduction of the repulsive force of sludge particles and the bound water content in the conditioned floc. The hydrophobicity, flow permeability and flocculability were enhanced after combined treatment, leading to the release of bound water.

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