scholarly journals Metagenomics Biomarkers Selected for Prediction of Three Different Diseases in Chinese Population

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Honglong Wu ◽  
Lihua Cai ◽  
Dongfang Li ◽  
Xinying Wang ◽  
Shancen Zhao ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Human Microbiome ◽  
Multiclass Classification ◽  
Prediction Algorithm ◽  
Selection For ◽  
Binary Classifiers ◽  
Metagenome Sequencing ◽  
Better Than

The dysbiosis of human microbiome has been proven to be associated with the development of many human diseases. Metagenome sequencing emerges as a powerful tool to investigate the effects of microbiome on diseases. Identification of human gut microbiome markers associated with abnormal phenotypes may facilitate feature selection for multiclass classification. Compared with binary classifiers, multiclass classification models deploy more complex discriminative patterns. Here, we developed a pipeline to address the challenging characterization of multilabel samples. In this study, a total of 300 biomarkers were selected from the microbiome of 806 Chinese individuals (383 controls, 170 with type 2 diabetes, 130 with rheumatoid arthritis, and 123 with liver cirrhosis), and then logistic regression prediction algorithm was applied to those markers as the model intrinsic features. The estimated model produced an F1 score of 0.9142, which was better than other popular classification methods, and an average receiver operating characteristic (ROC) of 0.9475 showed a significant correlation between these selected biomarkers from microbiome and corresponding phenotypes. The results from this study indicate that machine learning is a vital tool in data mining from microbiome in order to identify disease-related biomarkers, which may contribute to the application of microbiome-based precision medicine in the future.

scholarly journals Structural characterization of the microbial enzyme urocanate reductase mediating imidazole propionate production

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Raminta Venskutonytė ◽  
Ara Koh ◽  
Olof Stenström ◽  
Muhammad Tanweer Khan ◽  
Annika Lundqvist ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Reaction Pathway ◽  
Human Microbiome ◽  
Fecal Microbiota ◽  
X Ray ◽  
Binding Domains ◽  
Bacterial Enzyme ◽  
Microbial Enzyme

AbstractThe human microbiome can produce metabolites that modulate insulin signaling. Type 2 diabetes patients have increased circulating concentrations of the microbially produced histidine metabolite, imidazole propionate (ImP) and administration of ImP in mice resulted in impaired glucose tolerance. Interestingly, the fecal microbiota of the patients had increased capacity to produce ImP, which is mediated by the bacterial enzyme urocanate reductase (UrdA). Here, we describe the X-ray structures of the ligand-binding domains of UrdA in four different states, representing the structural transitions along the catalytic reaction pathway of this unexplored enzyme linked to disease in humans. The structures in combination with functional data provide key insights into the mechanism of action of UrdA that open new possibilities for drug development strategies targeting type 2 diabetes.

Characterization of Rh/Si multilayer structure by HREM and HAADF

1992 ◽  
Vol 50 (1) ◽  
pp. 122-123
Author(s):  
Y. Cheng ◽  
J. Liu ◽  
M.B. Stearns ◽  
D.G. Steams
Keyword(s):  
Normal Incidence ◽  
High Resolution Electron Microscopy ◽  
X Rays ◽  
Beam Direction ◽  
Cross Sectional ◽  
Optical Elements ◽  
Resolution Electron ◽  
Point To Point ◽  
Better Than

The Rh/Si multilayer (ML) thin films are promising optical elements for soft x-rays since they have a calculated normal incidence reflectivity of ∼60% at a x-ray wavelength of ∼13 nm. However, a reflectivity of only 28% has been attained to date for ML fabricated by dc magnetron sputtering. In order to determine the cause of this degraded reflectivity the microstructure of this ML was examined on cross-sectional specimens with two high-resolution electron microscopy (HREM and HAADF) techniques.Cross-sectional specimens were made from an as-prepared ML sample and from the same ML annealed at 298 °C for 1 and 100 hours. The specimens were imaged using a JEM-4000EX TEM operating at 400 kV with a point-to-point resolution of better than 0.17 nm. The specimens were viewed along Si [110] projection of the substrate, with the (001) Si surface plane parallel to the beam direction.

A Randomized controlled trial of SMS Intervention in Inner Mongolia with Type 2 Diabetes (Preprint)

2018 ◽  
Author(s):  
Xue Mei Wang ◽  
Dan Liu ◽  
Mao Lin Du ◽  
Rui Qi Hao ◽  
Hui Qiu Zheng ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Blood Glucose ◽  
Weight Control ◽  
Controlled Trial ◽  
Average Score ◽  
Randomized Controlled ◽  
Sms Intervention ◽  
Better Than

BACKGROUND Nonadherence to self-management is common among patients with type 2 diabetes (T2D) and often leads to severe complications. Short messages service (SMS) technology provides a practical medium for delivering content to address patients’ barriers to adherence. OBJECTIVE The aim of this study was to design a series of SMS intervention templates, and to evaluate the feasibility of the SMS through a short message quality evaluation questionnaire and to explore the intervention effect. METHODS 1. The SMS evaluation was assessed through the 10-point scale SMS Quality Assessment Questionnaire. 2. A randomized controlled trial was conducted. The patients in SMS intervention were randomly divided into intervention group (IG) and control group (CG), which received evaluated messages education and regular education, respectively. The intervention was divided into four phases, a telephone interview was conducted to evaluate the effectiveness of the intervention after each phase. The main outcome were changes in blood glucose and blood pressure (BP) and their control rates, and secondary outcomes were changes in diet, physical activity, weight control and other health-related behaviors. RESULTS 1. SMS design: 42 SMS text messages were designed to promote healthy behaviors in different stages of behavior change, covering four key domains: healthy knowledge, diet, physical activity, living habits and weight control. 2. SMS evaluation: The average score for healthy knowledge, diet, physical activity, living habits, weight control were 8.0 (SD 0.7), 8.5 (SD 0.6), 7.9 (SD 1.0), 8.0 (SD 0.7), and 8.4 (SD 0.9), respectively. 3. SMS intervention: A total of 146 people completed the four-phase intervention, including 72 in the CG and 74 in the IG. At the end of the intervention period, in the IG, the decrease in fasting blood glucose (FBG, mean 1.5mg/l [SD 3.0] vs 0.4 mg/l [SD 2.8], P=0.011), postprandial blood glucose (PBG, mean 5.8mg/l [SD 5.1] vs 4.2 mg/l [SD 4.7], P=0.028), systolic blood pressure (SBP, mean 9.1mmHg [SD 15.8] vs 2.2mmHg [SD 13.3], P=0.025), FBG control rate (45.9% vs 31.0%, P=0.046) and PBG control rate (57.8% vs 33.7%, P=0.002) were better than the CG. In self-behavior management, the changes of the weight control, diet and physical activity in the IG were better than those in the CG, and the average score of the IG was greater than that of the CG (1.1 vs [-0.3] ), P0.001). CONCLUSIONS The overall quality of SMS content is higher to meet the needs of patients; Diet, physical activity and weight control message need to be focused on push. SMS interventions contribute to the management of blood glucose and BP, and help to promote a series of healthy-related behaviors.

Synthesis and characterization of flame-retardant-wrapped carbon nanotubes and its flame retardancy in epoxy nanocomposites

2021 ◽  
pp. 096739112110245
Author(s):  
Jiangbo Wang
Keyword(s):  
Carbon Nanotubes ◽  
Heat Release ◽  
Flame Retardant ◽  
Flame Retardancy ◽  
Total Heat Release ◽  
Pristine Cnts ◽  
Peak Heat Release Rate ◽  
Ep Matrix ◽  
Better Than

A novel phosphorus-silicon containing flame-retardant DOPO-V-PA was used to wrap carbon nanotubes (CNTs). The results of FTIR, XPS, TEM and TGA measurements exhibited that DOPO-V-PA has been successfully grafted onto the surfaces of CNTs, and the CNTs-DOPO-V-PA was obtained. The CNTs-DOPO-V-PA was subsequently incorporated into epoxy resin (EP) for improving the flame retardancy and dispersion. Compared with pure EP, the addition of 2 wt% CNTs-DOPO-V-PA into the EP matrix could achieve better flame retardancy of EP nanocomposites, such as a 30.5% reduction in peak heat release rate (PHRR) and 8.1% reduction in total heat release (THR). Furthermore, DMTA results clearly indicated that the dispersion for CNTs-DOPO-V-PA in EP matrix was better than pristine CNTs.

scholarly journals Characterization of M dwarfs using optical mid-resolution spectra for exploration of small exoplanets

2020 ◽  
Author(s):  
Yohei Koizumi ◽  
Masayuki Kuzuhara ◽  
Masashi Omiya ◽  
Teruyuki Hirano ◽  
John Wisniewski ◽  
...  
Keyword(s):  
Sample Selection ◽  
Optical Spectra ◽  
Average Error ◽  
Spectral Energy ◽  
M Dwarfs ◽  
Energy Distributions ◽  
Fitting Procedures ◽  
Optical Region ◽  
Selection For

Abstract We present the optical spectra of 338 nearby M dwarfs, and compute their spectral types, effective temperatures (Teff), and radii. Our spectra were obtained using several optical spectrometers with spectral resolutions that range from 1200 to 10000. As many as 97% of the observed M-type dwarfs have a spectral type of M3–M6, with a typical error of 0.4 subtype, among which the spectral types M4–M5 are the most common. We infer the Teff of our sample by fitting our spectra with theoretical spectra from the PHOENIX model. Our inferred Teff is calibrated with the optical spectra of M dwarfs whose Teff have been well determined with the calibrations that are supported by previous interferometric observations. Our fitting procedures utilize the VO absorption band (7320–7570 Å) and the optical region (5000–8000 Å), yielding typical errors of 128 K (VO band) and 85 K (optical region). We also determine the radii of our sample from their spectral energy distributions. We find most of our sample stars have radii of <0.6 R⊙, with the average error being 3%. Our catalog enables efficient sample selection for exoplanet surveys around nearby M-type dwarfs.

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