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1.
Sci Total Environ ; 773: 145706, 2021 Jun 15.
Artículo en Inglés | MEDLINE | ID: mdl-33940765

RESUMEN

The hydrophilic biomaterial was constructed based on the soluble extracellular polysaccharides (s-EPS) secreted by Bacillus megaterium and zeolitic imidazolate framework-8 (ZIF-8), namely ZIF-8@s-EPS, wrapped in s-EPS shell with ZIF-8 as the core. ZIF-8@s-EPS was used as a novel multifunctional biomaterial in water treatment for the first time. Unexpectedly, results showed ZIF-8@s-EPS with strong synergistic effect presented multifunctional performances including descaling, antifouling and antibacterial. Scale inhibition efficiency reached 98.63% for CaCO3 and as high as 99.40% for CaSO4 at concentration 20.00 mg/L. The synergy of s-EPS and ZIF-8 demonstrated effective antibacterial activity against Pseudomonas aeruginosa and inhibitory effect on biofilms, and result presented that ZIF-8@s-EPS could inhibit the growth of nearly 89.4% P. aeruginosa. Therefore, the obtained insights will shed light on the development of s-EPS modified biomaterials in water treatment.


Asunto(s)
Purificación del Agua , Zeolitas , Antibacterianos/farmacología , Materiales Biocompatibles , Imidazoles , Polisacáridos
2.
Mol Med Rep ; 24(1)2021 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-33955511

RESUMEN

Non­alcoholic fatty liver disease (NAFLD) is a widespread threat to human health. However, the present screening methods for NAFLD are time­consuming or invasive. The present study aimed to assess the potential of microRNAs (miRNAs/miRs) in serum extracellular vesicles (EVs) as a biomarker of NAFLD. C57BL/6J mice were fed either a 12­week high­fat diet (HFD) or standard chow to establish NAFLD and control groups, respectively. Serum samples were obtained from the mouse model of NAFLD, as well as 50 patients with NAFLD and 50 healthy individuals, and EVs were extracted and verified. Using reverse transcription­quantitative PCR, the mRNA expression level of selected miRNAs in the serum and EVs was analyzed. In order to determine the diagnostic value, receiver operating characteristic (ROC) curves were used. The mice treated with HFD showed notable hepatic steatosis and higher concentrations of serum alanine aminotransferase (ALT). There was also a significant decrease in the expression levels of miR­135a­3p, miR­129b­5p and miR­504­3p, and an increase in miR­122­5p expression levels in circulating EVs in mice treated with HFD and patients with NAFLD. There were also similar miR­135a­3p and miR­122­5p expression patterns in the serum. ROC analysis demonstrated that miR­135a­3p in circulating EVs was highly accurate in diagnosing NAFLD, with the area under the curve value being 0.849 (95% CI, 0.777­0.921; P<0.0001). Bioinformatics analysis indicated that dysregulated miR­135a­3p was associated with 'platelet­derived growth factor receptor signaling pathway' and 'AMP­activated protein kinase signaling pathway'. In summary, circulating miR­135a­3p in EVs may serve as a potential non­invasive biomarker to diagnose NAFLD. This miRNA was a more sensitive and specific biological marker for NAFLD compared with ALT.

3.
J Am Chem Soc ; 2021 Apr 14.
Artículo en Inglés | MEDLINE | ID: mdl-33852301

RESUMEN

Electrochemical CO2 reduction (CO2RR) using renewable energy sources represents a sustainable means of producing carbon-neutral fuels. Unfortunately, low energy efficiency, poor product selectivity, and rapid deactivation are among the most intractable challenges of CO2RR electrocatalysts. Here, we strategically propose a "two ships in a bottle" design for ternary Zn-Ag-O catalysts, where ZnO and Ag phases are twinned to constitute an individual ultrafine nanoparticle impregnated inside nanopores of an ultrahigh-surface-area carbon matrix. Bimetallic electron configurations are modulated by constructing a Zn-Ag-O interface, where the electron density reconfiguration arising from electron delocalization enhances the stabilization of the *COOH intermediate favorable for CO production, while promoting CO selectivity and suppressing HCOOH generation by altering the rate-limiting step toward a high thermodynamic barrier for forming HCOO*. Moreover, the pore-constriction mechanism restricts the bimetallic particles to nanosized dimensions with abundant Zn-Ag-O heterointerfaces and exposed active sites, meanwhile prohibiting detachment and agglomeration of nanoparticles during CO2RR for enhanced stability. The designed catalysts realize 60.9% energy efficiency and 94.1 ± 4.0% Faradaic efficiency toward CO, together with a remarkable stability over 6 days. Beyond providing a high-performance CO2RR electrocatalyst, this work presents a promising catalyst-design strategy for efficient energy conversion.

4.
Photodiagnosis Photodyn Ther ; 34: 102313, 2021 Apr 26.
Artículo en Inglés | MEDLINE | ID: mdl-33915311

RESUMEN

PURPOSE: Chronic renal failure (CRF) is a disease with a high morbidity rate that can develop into uraemia, resulting in a series of complications, such as dyspnoea, mental disorders, hypertension, and heart failure. CRF may be controlled clinically by drug intervention. Therefore, early diagnosis and control of the disease are of great significance for the treatment and prevention of chronic renal failure. Based on the complexity of CRF diagnosis, this study aims to explore a new rapid and noninvasive diagnostic method. METHODS: In this experiment, the serum Raman spectra of samples from 47 patients with CRF and 53 normal subjects were obtained. In this study, Serum Raman spectra of healthy and CRF patients were identified by a Convolutional Neural Network (CNN) and compared with the results of identified by an Improved AlexNet. In addition, different amplitude of noise were added to the spectral data of the samples to explore the influence of a small random noise on the experimental results. RESULTS: A CNN and an Improved AlexNet was used to classify the spectra, and the accuracy was 79.44 % and 95.22 % respectively. And the addition of noise did not significantly interfere with the classification accuracy. CONCLUSION: The accuracy of CNN of this study can be as high as 95.22 %, which greatly improves its accuracy and reliability, compared to 89.7 % in the previous study. The results of this study show that the combination of serum Raman spectrum and CNN can be used in the diagnosis of CRF, and small random noise will not cause serious interference to the data analysis results.

5.
Environ Sci Technol ; 55(9): 6239-6247, 2021 05 04.
Artículo en Inglés | MEDLINE | ID: mdl-33821621

RESUMEN

White wastes (unseparated plastics, face masks, textiles, etc.) pose a serious challenge to sustainable human development and the ecosystem and have recently been exacerbated due to the surge in plastic usage and medical wastes from COVID-19. Current recycling methods such as chemical recycling, mechanical recycling, and incineration require either pre-sorting and washing or releasing CO2. In this work, a carbon foam microwave plasma process is developed, utilizing plasma discharge to generate surface temperatures exceeding ∼3000 K in a N2 atmosphere, to convert unsorted white wastes into gases (H2, CO, C2H4, C3H6, CH4, etc.) and small amounts of inorganic minerals and solid carbon, which can be buried as artificial "coal". This process is self-perpetuating, as the new solid carbon asperities grafted onto the foam's surface actually increase the plasma discharge efficiency over time. This process has been characterized by in situ optical probes and infrared sensors and optimized to handle most of the forms of white waste without the need for pre-sorting or washing. Thermal measurement and modeling show that in a flowing reactor, the device can achieve locally extremely high temperatures, but the container wall will still be cold and can be made with cheap materials, and thus, a miniaturized waste incinerator is possible that also takes advantage of intermittent renewable electricity.


Asunto(s)
Eliminación de Residuos , Carbono , Ecosistema , Humanos , Hidrocarburos , Microondas
6.
Chin J Integr Med ; 2021 Apr 10.
Artículo en Inglés | MEDLINE | ID: mdl-33837482

RESUMEN

OBJECTIVE: To evaluate the efficacy and safety of Pai-Neng-Da Capsule (, panaxadiol saponins component, PNDC) in combination with the cyclosporine and androgen for patients with chronic aplastic anemia (CAA). METHODS: A total of 79 CAA patients was randomly divided into 2 groups by a random number table, including PCA group [43 cases, orally PNDC 320 mg/d plus cyclosporine 5 mg/(kg·d) plus andriol 80 mg/d] and CA group [36 cases, orally cyclosporine 5 mg/(kg·d) plus andriol 160 mg/d]. All patients were treated and followed-up for 6 treatment courses over 24 weeks. The complete blood counts, score of Chinese medical (CM) symptoms were assessed and urine routine, electrocardiogram, hepatic and renal function were observed for safety evaluation. Female masculinization rating scale was established according to the actual clinical manifestations to evaluate the accurate degree of masculinization in female CAA patients treated by andriol. RESULTS: The effective rates were 88.1% (37/42) in the PCA group and 77.8% (28/36) in the CA group based on the standard for the therapeutic efficacy evaluation of hematopathy. There was no significant difference in the white blood cell (WBC) counts, platelet counts and hemoglobin concentration of peripheral blood between two groups after 6 months treatment. The masculinization score of female patient in the PCA group was significantly lower than the CA group (P<0.05). The mild abdominal distention was observed in 1 cases in the PCA group. In CA group, the abnormalities in the hepatic function developed in 2 cases and the renal disfunction was found in 1 case. CONCLUSION: The PNDC possesses certain curative effects in the treatment of CAA without obvious side-effects and can partially replace andriol thereby to reduce the degree of masculinization [Registried at Chinese Clinical Trial Registry (ChicTR1900028153)].

7.
Artículo en Inglés | MEDLINE | ID: mdl-33837622

RESUMEN

Hepatitis B virus (HBV) poses a severe threat to public health and social development. Here, we synthesized 4 ± 0.5 nm copper (I) sulfide (Cu 2 S) nanoparticles (NPs) with 46 mdeg chiroptical properties at 530 nm to selectively cleavage HBV core antigen (HBcAg) and effectively blocked HBV assembly and prevented HBV infection both in vitro and in vivo under light at 808 nm. Experimental analysis showed that the Cu 2 S NPs specific bound with the functional domain from phenylalanine 23 to leucine 30 (F 23 F 24 P 25 S 26 V 27 R 28 D 29 L 30 ) from HBcAg primary sequence and the cutting site was between amino acid residues F 24 and P 25 . The l -Cu 2 S NPs showed greater cleavage activity than the d -Cu 2 S NPs and it was associated to the higher affinity of l -Cu 2 S NPs with the functional domain above. Under excitation at 808 nm, the intracellular HBcAg concentration was reduced by 95%, and in HBV transgenic mice, the levels of HBV surface protein antigen (HBsAg) and HBV DNA were decreased by 93% and 86%, respectively. Together, these results reveal the potential nanomedicine for HBV control and provide fresh tools for viral infection.

8.
Photodiagnosis Photodyn Ther ; : 102308, 2021 Apr 23.
Artículo en Inglés | MEDLINE | ID: mdl-33901691

RESUMEN

In recent years, glioma has become one of the main diseases threatening human health, with a low cure rate and a high mortality rate. Therefore, correct diagnosis and treatment are essential for patients. This research aims to use mid-infrared spectroscopy combined with machine learning algorithms to identify patients with glioma. The glioma infrared spectra and the control group serum are smoothed and normalized, then the principal component analysis (PCA) algorithm is used to reduce the data dimensionality, and finally, the particle swarm optimization-support vector machine (PSO-SVM), backpropagation (BP) neural network and decision tree (DT) model are established. The classification accuracy of the three models was 92.00%, 91.83%, 87.20%, and the AUC values were 0.919, 0.945, and 0.866, respectively. The results show that PCA-PSO-SVM has a better classification effect. This study shows that mid-infrared spectroscopy combined with machine learning algorithms has great potential in the application of non-invasive, rapid and accurate identification of glioma patients.

9.
Artículo en Inglés | MEDLINE | ID: mdl-33928737

RESUMEN

Mg-air batteries are explored as the next-generation power systems for wearable and implantable electronics as they could work stably in neutral electrolytes and are also biocompatible. However, high corrosion rate and low utilization of Mg anode largely impair the performance of Mg-air battery with low discharge voltage, poor specific capacity and low energy density. Here, to the best of our knowledge, we first report a dual-layer gel electrolyte to simultaneously solve the above two problems by preventing the corrosion of Mg anode and the production of dense passive layer, respectively. The resulting Mg-air batteries produced an average specific capacity of 2190 mAh·g -1 based on the total Mg anode (99.3% utilization rate of Mg anode) and energy density of 2282 Wh·kg -1 based on the total anode and air electrode, both of which are the highest among the reported Mg-air batteries. Besides, our Mg-air batteries could be made into a fiber shape, and they were flexible to work stably under various deformations such as bending and twisting.

10.
Sci Total Environ ; 781: 146756, 2021 Mar 26.
Artículo en Inglés | MEDLINE | ID: mdl-33798898

RESUMEN

Large hydraulic infrastructures have been constructed globally to address water challenges. Past studies have well documented their effects on downstream aquatic ecosystems, which have included disrupting hydrological regimes as well as nutrient delivery, cycling and mediating processes that affect primary production. However, how these infrastructure operations affect lake ecosystems where the infrastructures are situated remains poorly understood. In the present study, we used a three-dimensional hydrodynamic-biogeochemical lake model to quantify the potential effects of large lake sluice operations under extreme high water levels on current structure and water quality parameters of Lake Chaohu in China. We designed and simulated multiple operation strategies based on actual operation curves during the 2016 extreme rainfall season. The model successfully captured the water quality dynamics of Lake Chaohu during both the calibration and validation phases. Our results indicate that higher lake water release rates led to overall accelerations of the current velocity; however, the deceleration of along-shore current velocity along the shorelines was also evident. Higher release rates also resulted in rapid rises ammonium nitrogen (NH4-N), total nitrogen (TN) and total phosphorous (TP) concentrations in the eastern lake basin, as well as a lake-wide rise of chlorophyll-a (Chla) concentration. When the lake sluice was operated at its full capacity, mean concentrations of these four parameters increased by 5.21%, 5.58%, 9.6% and 7.46%, respectively. Modeling results demonstrate that the effects of lake sluice operations were still quite pronounced for four months after the operations. Modeling results also revealed that higher release rate during the operation phase may help decease TN and TP concentrations during the subsequent period. This study provides a useful perspective on how to support the planning and operation of large infrastructures in the face of climate change induced extreme events.

11.
Transl Oncol ; 14(7): 101078, 2021 Apr 13.
Artículo en Inglés | MEDLINE | ID: mdl-33862522

RESUMEN

BACKGROUND: To identify radiomic subtypes of clear cell renal cell carcinoma (ccRCC) patients with distinct clinical significance and molecular characteristics reflective of the heterogeneity of ccRCC. METHODS: Quantitative radiomic features of ccRCC were extracted from preoperative CT images of 160 ccRCC patients. Unsupervised consensus cluster analysis was performed to identify robust radiomic subtypes based on these features. The Kaplan-Meier method and chi-square test were used to assess the different clinicopathological characteristics and gene mutations among the radiomic subtypes. Subtype-specific marker genes were identified, and gene set enrichment analyses were performed to reveal the specific molecular characteristics of each subtype. Moreover, a gene expression-based classifier of radiomic subtypes was developed using the random forest algorithm and tested in another independent cohort (n = 101). RESULTS: Radiomic profiling revealed three ccRCC subtypes with distinct clinicopathological features and prognoses. VHL, MUC16, FBN2, and FLG were found to have different mutation frequencies in these radiomic subtypes. In addition, transcriptome analysis revealed that the dysregulation of cell cycle-related pathways may be responsible for the distinct clinical significance of the obtained subtypes. The prognostic value of the radiomic subtypes was further validated in another independent cohort (log-rank P = 0.015). CONCLUSION: In the present multi-scale radiogenomic analysis of ccRCC, radiomics played a central role. Radiomic subtypes could help discern genomic alterations and non-invasively stratify ccRCC patients.

12.
Sensors (Basel) ; 21(4)2021 Feb 14.
Artículo en Inglés | MEDLINE | ID: mdl-33672934

RESUMEN

Applications related to smart cities require virtual cities in the experimental development stage. To build a virtual city that are close to a real city, a large number of various types of human models need to be created. To reduce the cost of acquiring models, this paper proposes a method to reconstruct 3D human meshes from single images captured using a normal camera. It presents a method for reconstructing the complete mesh of the human body from a single RGB image and a generative adversarial network consisting of a newly designed shape-pose-based generator (based on deep convolutional neural networks) and an enhanced multi-source discriminator. Using a machine learning approach, the reliance on multiple sensors is reduced and 3D human meshes can be recovered using a single camera, thereby reducing the cost of building smart cities. The proposed method achieves an accuracy of 92.1% in body shape recovery; it can also process 34 images per second. The method proposed in this paper approach significantly improves the performance compared with previous state-of-the-art approaches. Given a single view image of various humans, our results can be used to generate various 3D human models, which can facilitate 3D human modeling work to simulate virtual cities. Since our method can also restore the poses of the humans in the image, it is possible to create various human poses by given corresponding images with specific human poses.


Asunto(s)
Cuerpo Humano , Procesamiento de Imagen Asistido por Computador , Ciudades , Humanos , Redes Neurales de la Computación , Interfaz Usuario-Computador
13.
Inorg Chem ; 2021 Mar 16.
Artículo en Inglés | MEDLINE | ID: mdl-33724012

RESUMEN

Inexpensive and efficient electrocatalysts are crucial for the development and practical application of energy conversion and storage technologies. Layered-double-hydroxide (LDH) materials have attracted much attention due to the special layered structure, but their electrocatalytic activity and stability are still limited. Herein, we propose to tune Co2+ occupancy and coordination in cobalt-based LDH nanosheets via Fe3+ doping for efficient and stable electrocatalysis for oxygen evolution reaction (OER). It is found that Fe doping regulates the occupancy and coordination of Co2+ in CoO4 tetrahedrons and CoO6 octahedrons of Co-LDHs. Through density functional theory calculation, we also clarified that Fe3+ not only modulated the Co2+ coordination but also functioned as an added catalytic active site. LDH nanosheets with a Co/Fe ratio of 5:1 show a low OER overpotential, much better than the commercial IrO2, owing to the modulation of Fe3+ doping on the crystal and electronic structures. After appropriate incorporation of Fe3+, the almost inactive octahedral coordinated Co2+ is significantly activated with a partial deletion of tetrahedral coordinated Co2+, which greatly boosts the overall electrocatalytic activity. This study offers some new insights into tuning the crystal and electronic structures of LDHs by lattice doping to achieve high-efficiency electrocatalysis for OER.

14.
Ying Yong Sheng Tai Xue Bao ; 32(3): 860-868, 2021 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-33754551

RESUMEN

Inner Mongolian steppe is one of the ecological barriers in China. The variation of water resources is very important for the development of social-economy and the protection of eco-environment. We collected 254 water samples of precipitation, river, and shadow groundwater during wet-season and dry-season of 2018-2019 from Balaguer River watershed and meansured the physical-chemical indicators, δD and δ18O of water samples. The stable isotope technology, mathematical statistics, and the inverse distance weighting method were used to analyze the stable isotope composition, spatial-temporal variation, and impact factors. Moreover, the d-excess and the isotopic mixing ratio formula were used to analyze the conversion characteristics of different water and to identify their environment driving variables. The results showed that δD and δ18O of precipitation, river and shallow groundwater were higher in wet season than in dry season. The driving factors of different water transformation in the watershed were air temperature, altitude, and groundwater depth. Altitude was significantly negatively correlated with river δD, and the δD and δ18O of groundwater. δD and δ18O of groundwater fluctuated significantly in the area with groundwater depth less than 10 m, but were stable in other areas. There was a positive correlation between precipitation δ18O and air temperature. The d-excess in wet season was higher than that in dry season, with a decreasing distribution characteristic from southern to northern part in the study area. More than 50% river in upper stream came from precipitation, while more than half river water converted to groundwater, with different recharge-drainage relationships existed between surface water and groundwater in different river reaches.


Asunto(s)
Agua Subterránea , Ríos , China , Monitoreo del Ambiente , Isótopos de Oxígeno/análisis , Agua
15.
Int J Med Sci ; 18(8): 1866-1876, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33746604

RESUMEN

The outbreak of severe respiratory disease caused by SARS-CoV-2 has led to millions of infections and raised global health concerns. Lianhuaqingwen capsule (LHQW-C), a traditional Chinese medicine (TCM) formula widely used for respiratory diseases, shows therapeutic efficacy in the application of coronavirus disease 2019 (COVID-19). However, the active ingredients, drug targets, and the therapeutic mechanisms of LHQW-C in treating COVID-19 are poorly understood. In this study, an integrating network pharmacology approach including pharmacokinetic screening, target prediction (targets of the host and targets from the SARS-CoV-2), network analysis, GO enrichment analysis, KEGG pathway enrichment analysis, and virtual docking were conducted. Finally, 158 active ingredients in LHQW-C were screen out, and 49 targets were predicted. GO function analysis revealed that these targets were associated with inflammatory response, oxidative stress reaction, and other biological processes. KEGG enrichment analysis indicated that the targets of LHQW-C were highly enriched to several immune response-related and inflammation-related pathways, including the IL-17 signaling pathway, TNF signaling pathway, NF-kappa B signaling pathway, and Th17 cell differentiation. Moreover, four key components (quercetin, luteolin, wogonin, and kaempferol) showed a high binding affinity with SARS-CoV-2 3-chymotrypsin-like protease (3CL pro). The study indicates that some anti-inflammatory ingredients in LHQW-C probably modulate the inflammatory response in severely ill patients with COVID-19.


Asunto(s)
/tratamiento farmacológico , Medicamentos Herbarios Chinos/farmacología , Medicamentos Herbarios Chinos/uso terapéutico , Humanos , Simulación del Acoplamiento Molecular , Fitoterapia , Mapas de Interacción de Proteínas , Estudios Retrospectivos
16.
Chem Soc Rev ; 2021 Mar 10.
Artículo en Inglés | MEDLINE | ID: mdl-33690765

RESUMEN

Molecular persistently luminescent materials have received recent attention due to their promising applications in optical displays, biological imaging, chemical sensing, and security systems. In this review, we systematically summarize recent advances in establishing persistently luminescent materials-specifically focusing on materials composed of molecular hybrids for the first time. We describe the main strategies for synthesizing these hybrid materials, namely: (i) inorganics/organics, (ii) organics/organics, and (iii) organics/polymer systems and demonstrate how molecular hybrids provide synergistic effects, while improving luminescence lifetimes and efficiencies. These hybrid materials promote new methods for tuning key physical properties such as singlet-triplet excited state energies by controlling the chemical interactions and molecular orientations in the solid state. We review new advances in these materials from the perspective of examining experimental and theoretical approaches to room-temperature phosphorescence and thermally-activated delayed fluorescence. Finally, this review concludes by summarizing the current challenges and future opportunities for these hybrid materials.

17.
BMC Surg ; 21(1): 114, 2021 Mar 06.
Artículo en Inglés | MEDLINE | ID: mdl-33676462

RESUMEN

BACKGROUND: There is limited evidence to clarify the specific relationship between preoperative estimated glomerular filtration rate (preop-eGFR) and postoperative 30-day mortality in Asian patients undergoing non-cardiac and non-neuron surgery. We aimed to investigate details of this relationship. METHODS: We reanalyzed a retrospective analysis of the clinical records of 90,785 surgical patients at the Singapore General Hospital from January 1, 2012 to October 31, 2016. The main outcome was postoperative 30-day mortality. RESULTS: The average age of these recruited patients was 53.96 ± 16.88 years, of which approximately 51.64% were female. The mean of preop-eGFR distribution was 84.45 ± 38.56 mL/min/1.73 m2. Multivariate logistic regression analysis indicated that preop-eGFR was independently associated with 30-day mortality (adjusted odds ratio: 0.992; 95% confidence interval [CI] 0.990-0.995; P < 0.001). A U-shaped relationship was detected between preop-eGFR and 30-day mortality with an inflection point of 98.688 (P for log likelihood ratio test < 0.001). The effect sizes and confidence intervals on the right and left sides of the inflection point were 1.013 (1.007 to 1.019) [P < 0.0001] and 0.984 (0.981 to 0.987) [P < 0.0001], respectively. Preoperative comorbidities such as congestive heart failure (CHF), type 1 diabetes, ischemic heart disease (IHD), and anemia were associated with the odds ratio of preop-eGFR to 30-day mortality (interaction P < 0.05). DISCUSSION: The relationship between preop-eGFR and 30-day mortality is U-shaped. The recommended preop-eGFR at which the rate of the 30-day mortality was lowest was 98.688 mL/min/1.73 m2.


Asunto(s)
Tasa de Filtración Glomerular , Procedimientos Quirúrgicos Operativos , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Estudios Retrospectivos , Singapur/epidemiología , Procedimientos Quirúrgicos Operativos/mortalidad
18.
Photodiagnosis Photodyn Ther ; 34: 102241, 2021 Mar 01.
Artículo en Inglés | MEDLINE | ID: mdl-33662617

RESUMEN

In this study, 60 samples taken from patients with thyroid dysfunction, 40 samples taken from patients with chronic renal failure (CRF) and 60 samples taken from healthy people were classified. We used partial least squares (PLS) to extract features to reduce the dimension of the spectral data to discriminate among the different samples. The Decision Trees (DT), Extreme Learning Machine (ELM), Probabilistic Neural Network (PNN), Back Propagation Neural Network (BPNN) and Learning Vector Quantization (LVQ) algorithms were used to build classification models and compare the results. The PLS-PNN algorithm distinguished between patients with thyroid dysfunction and patients with chronic renal failure with up to a 96.67 % accuracy rate, the PLS-BP algorithm distinguished between patients with chronic renal failure and healthy people with up to a 98.33 % accuracy rate, and the PLS-PNN algorithm and the PLS-DT algorithm distinguished between healthy people and patients with chronic renal failure with up to a 100 % accuracy rate. The results showed that serum Raman spectroscopy can be used in conjunction with classification algorithms to rapidly and accurately diagnose and distinguish between thyroid dysfunction and chronic renal failure.

19.
J Cell Mol Med ; 25(9): 4260-4274, 2021 May.
Artículo en Inglés | MEDLINE | ID: mdl-33759378

RESUMEN

Renal cell carcinoma (RCC) is one of the leading causes of cancer-related death worldwide. Tumour metastasis and heterogeneity lead to poor survival outcomes and drug resistance in patients with metastatic RCC (mRCC). In this study, we aimed to assess intratumoural heterogeneity (ITH) in mRCC cells by performing a combined analysis of bulk data and single-cell RNA-sequencing data, and develop novel biomarkers for prognosis prediction on the basis of the potential molecular mechanisms underlying tumorigenesis. Eligible single-cell cohorts related to mRCC were acquired using the Gene Expression Omnibus (GEO) dataset to identify potential mRCC subpopulations. We then performed gene set variation analysis to understand the differential function in primary RCC and mRCC samples. Subsequently, we applied weighted correlation network analysis to identify coexpressing gene modules that were related to the external trait of metastasis. Protein-protein interactions were used to screen hub subpopulation-difference (sub-dif) markers (ACTG1, IL6, CASP3, ACTB and RAP1B) that might be involved in the regulation of RCC metastasis and progression. Cox regression analysis revealed that ACTG1 was a protective factor (HR < 1), whereas the other four genes (IL6, CASP3, ACTB and RAP1B) were risk factors (HR > 1). Kaplan-Meier survival analysis suggested the potential prognostic value of these sub-dif markers. The expression of sub-dif markers in mRCC was further evaluated in clinical samples by immunohistochemistry (IHC). Additionally, the genetic features of sub-dif marker expression patterns, such as genetic variation profiles, correlations with tumour-infiltrating lymphocytes (TILs), and targeted signalling pathway activities, were assessed in bulk RNA-seq datasets. In conclusion, we established novel subpopulation markers as key prognostic factors affecting EMT-related signalling pathway activation in mRCC, which could facilitate the implementation of a treatment for mRCC patients.

20.
Zhongguo Zhong Yao Za Zhi ; 46(5): 1276-1283, 2021 Mar.
Artículo en Chino | MEDLINE | ID: mdl-33787123

RESUMEN

In order to systematically evaluate the safety of Sanfu acupoint herbal patching, CNKI, SinoMed, VIP, Wanfang, PubMed, Medline, EMbase, and Cochrane Library were searched in accordance with PICOS principles, with a time limit from database establishment to December 2019. Meta-analysis was used for a single-group rate analysis and a weighted combination of these two groups on rates of adverse reactions. A total of 9 articles meeting the inclusion criteria were included in the analysis, involving 2 119 patients. The single-group rate Meta-analysis showed that the adverse reactions incidence was 9% in the treatment group(OR=0.10,95%CI[0.06, 0.19], P<0.000 01), and 9% in the control group(OR=0.10, 95%CI[0.07, 0.13], P<0.000 01). In combined statistics of all samples OR=1.81, 95%CI[1.04, 3.15], P=0.04, the incidence of adverse reactions in the treatment group was slightly higher than that of the control group. In the subgroup analysis, the incidence of adverse reactions in terms of both single-group rate and weighed rate in the treatment group was higher than that in the control group in the asthma subgroup, rhinitis subgroup, ≥18 years old subgroup, and application time 2 h subgroup, with statistically significant differences(P<0.05). The results of the Meta-analysis and systematic review suggested that the incidence of adverse reactions in clinical use of the Sanfu acupoints herbal patching was relatively low. The main types of adverse reactions were skin ulcers, blisters and other skin symptoms. The symptoms were relatively mild, which could be relieved by drug withdrawal or symptomatic treatment. It shows that the safety of the Sanfu acupoint herbal patching was relatively high, and the occurrence of adverse reactions was related to the original disease and age, mainly in asthma and rhinitis or patients over 40 years old. Affected by clinical heterogeneity, the conclusions of the application time subgroup need to be further improved.


Asunto(s)
Asma , Medicamentos Herbarios Chinos , Puntos de Acupuntura , Adolescente , Adulto , Bases de Datos Factuales , Medicamentos Herbarios Chinos/efectos adversos , Humanos , Incidencia , Ensayos Clínicos Controlados Aleatorios como Asunto
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