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Cellulose enzymatic saccharification is a key link in converting lignocellulose to fuel ethanol via a sugar platform. In this paper, the maximum information coefficient (MIC) algorithm is proposed to detect linear correlations and nonlinear correlations between bioinformatics variables from the application of bioinformatics. Meanwhile, to address the problems of excessive grid division and low statistical efficacy of MIC algorithm, BackMIC, an optimization algorithm using quiz control number of segments, is proposed to terminate the network search using the chi-square test. Then, cellulase hydrolysis and adsorption experiments were designed and performed, and the experimental data were analyzed based on the BackMIC algorithm. The optimum activity temperature of different cellulases was around 50°C, while the hydrolysis rate of cellulases of different treated raw materials increased and then decreased with the increase of temperature, and basically, the maximum was achieved in the temperature range of 50~55°C. In the pH test, the optimum temperature of cellulase hydrolysis was concentrated at 4.4~4.5. In the cellulase adsorption experiments, the enzymatic activity of steam-popped wheatgrass was adsorbed in the following order: FPA> C1> CMCase> β-Case. The study of cellulase hydrolysis based on bioinformatics reveals the synergistic relationship between cellulase hydrolysis and adsorbed properties, which provides a theoretical basis for reducing the ineffective adsorption of cellulose and the development of enzymatic strengthening technology. The theoretical basis for reducing the ineffective adsorption of cellulose and the development of enzymatic enhancement technology can help reduce the cost of lignocellulose enzymatic digestion.

Gut microbiota are closely related to health, and the β2-adrenergic receptor gene (ADRB2) is associated with gastrointestinal diseases. In the present study, we aimed to explore the relationship between ADRB2 gene polymorphisms and gut microbiota in Chinese Han adolescents. The relative abundance, diversity, and PICRUSt function predictions of male and female gut microbiomes differ significantly and that ADRB2 gene polymorphisms were associated with gut microbiome abundance in Chinese Han adolescents.

Background and Objectives: Resting energy expenditure (REE) and respiratory quotient (RQ) are important for optimal nutritional care. The purpose of this study was to assess the accuracy and repeatability of an indirect calorimetry device (IIM-IC-100) in the measurement of REE and RQ in healthy Chinese adults.Methods and Study Design: A total of 38 healthy adults (19 male and 19 female) aged 18-52 years (25±6 years) were enrolled in this study. REE and RQ were measured by IIM-IC-100 and by VO2000, alternately and in duplicate.Results: There was a highly significant correlation between IIM-IC-100 REE and VO2000 REE (r=0.906, p<0.001), with mean IIM-IC-100 REE significantly higher than that of VO2000 (1475±269 vs 1394±313 kcal/d, p=0.002). Bland- Altman analysis revealed that the mean difference between IIM-IC-100 REE and VO2000 REE was 81.3 kcal/d, with limits of agreement of -185 to +347 kcal/d. There was no significant difference in RQ between the two devices. No significant differences were observed between the repeated measurements for both devices. Intrasubject coefficients of variation (CVs) of REE were smaller for IIM-IC-100 (5.8%) than for VO2000 (10.5%), while CVs of RQ were similar for IIM-IC-100 (7.2%) and VO2000 (6.9%).Conclusions: These preliminary data indicated that the IIM-IC-100 showed promise as an accurate and precise tool in the assessment of REE and RQ in healthy Chinese adults. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to analyze the interindividual differences of the maximal oxygen uptake (V̇O 2max ) response to 12 wk of high-intensity interval training (HIIT), and the genotype-phenotype models were constructed to predict the effect of HIIT on V̇O 2max ., Methods: A total of 228 physically inactive adults who completed a 12-wk HIIT were analyzed. A genome-wide association study (GWAS) was conducted to identify genetic variants associated with the V̇O 2max response. Nonresponders, responders, and the highest training responders were defined as the effect sizes (ES) <0.2, ≥0.2, and ≥0.8, respectively. We generated polygenic predictor score (PPS) using lead variants and constructed a predictive model for V̇O 2max response based on a linear stepwise regression analysis., Results: The V̇O 2max increased significantly after HIIT (~14%, P < 0.001), but with interindividual differences (-7.8 to 17.9 mL·kg -1 ·min -1 ). In 27% of participants, the V̇O 2max showed no improvement. We identified one genetic locus near the γ-aminobutyric acid type A receptor subunit beta 3 gene ( GABRB3 , rs17116985) associated with V̇O 2max response at the genome-wide significance level ( P < 5 × 10 -8 ), and an additional nine single nucleotide polymorphisms (SNPs) at the suggestive significance level ( P < 1 × 10 -5 ). The SNPs rs474377, rs9365605, and rs17116985, respectively, explained 11%, 9%, and 6.2% of variance in V̇O 2max response. The 13 SNPs ( P < 1 × 10 -5 ) were found on chromosome 6 (position: 148209316-148223568). Individuals with a PPS greater than 1.757 had the highest response, and those with a PPS lower than -3.712 were nonresponders. The PPS, baseline V̇O 2max , sex, and body mass explained 56.4% of the variance in the V̇O 2max response; the major predictor was the PPS, which explained 39.4% of the variance., Conclusions: The PPS, baseline V̇O 2max , sex, and body mass could explain the variance in V̇O 2max response. Individuals who had a PPS greater than 1.757 had the highest training response after 12 wk of HIIT. Genetic variants in a region on chromosome 6, especially the sterile alpha motif domain containing 5 gene ( SAMD5 ), which had been explored influencing angiogenesis, might have a potential role in the V̇O 2max response., (Copyright © 2023 by the American College of Sports Medicine.)