Hybrid Fiber Materials according to the Manufacturing Technology Methods and IOT Materials: A Systematic Review.

With the development of convergence technology, the Internet of Things (IoT), and artificial intelligence (AI), there has been increasing interest in the materials industry. In recent years, numerous studies have attempted to identify and explore multi-functional cutting-edge hybrid materials. In this paper, the international literature on the materials used in hybrid fibers and manufacturing technologies were investigated and their future utilization in the industry is predicted. Furthermore, a systematic review is also conducted. This includes sputtering, electrospun nanofibers, 3D (three-dimensional) printing, shape memory, and conductive materials. Sputtering technology is an eco-friendly, intelligent material that does not use water and can be applied as an advantageous military stealth material and electromagnetic blocking material, etc. Electrospinning can be applied to breathable fabrics, toxic chemical resistance, fibrous drug delivery systems, and nanoliposomes, etc. 3D printing can be used in various fields, such as core-sheath fibers and artificial organs, etc. Conductive materials include metal nanowires, polypyrrole, polyaniline, and CNT (Carbon Nano Tube), and can be used in actuators and light-emitting devices. When shape-memory materials deform into a temporary shape, they can return to their original shape in response to external stimuli. This study attempted to examine in-depth hybrid fiber materials and manufacturing technologies.

Polymorphisms of the leptin and HTR2C genes and clozapine-induced weight change and baseline BMI in patients with chronic schizophrenia.

OBJECTIVES: We investigated the associations of the LEP-2548A/G and HTR2C-759C/T polymorphisms with long-term clozapine-induced weight changes and baseline BMI in chronic patients with schizophrenia. MATERIALS AND METHODS: A total of 113 patients receiving clozapine for at least 1 year were enrolled. Body weight was measured cross-sectionally and data on body weight just before starting clozapine were retrospectively extracted from medical records. RESULTS: Clozapine-induced change in BMI was correlated inversely with the baseline BMI (P<0.001, ρ=-0.347). The LEP-2548A/G polymorphism was associated significantly with the change in BMI (F=4.380, P=0.015) during clozapine use; those with the AA genotype had the highest BMI gain (1.4±3.1 kg/m), followed by those with the AG (-0.2±3.3 kg/m) and GG (-1.6±3.4 kg/m) genotypes. We also found a significant association between the leptin genotype and BMI at baseline (F=3.499, P=0.034); those with the AA genotype had the lowest baseline BMI (23.4±4.3 kg/m), followed by those with the AG (24.1±4.4 kg/m) and GG (28.8±7.3 kg/m) genotypes. In the case of the HTR2C-759C/T polymorphism, we found a trend in which T alleles were more prevalent in male patients with up to 7% increase in BMI than in those with a greater than 7% increase in BMI [12/54 (22.7%) vs. 1/27 (3.7%); Fisher's exact test: P=0.051]. CONCLUSION: This study shows an inverse correlation between the baseline BMI and change in BMI during long-term clozapine use in patients with schizophrenia, and the LEP-2548A/G polymorphism was associated significantly with both these measures.

A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits.

To identify genetic factors influencing quantitative traits of biomedical importance, we conducted a genome-wide association study in 8,842 samples from population-based cohorts recruited in Korea. For height and body mass index, most variants detected overlapped those reported in European samples. For the other traits examined, replication of promising GWAS signals in 7,861 independent Korean samples identified six previously unknown loci. For pulse rate, signals reaching genome-wide significance mapped to chromosomes 1q32 (rs12731740, P = 2.9 x 10(-9)) and 6q22 (rs12110693, P = 1.6 x 10(-9)), with the latter approximately 400 kb from the coding sequence of GJA1. For systolic blood pressure, the most compelling association involved chromosome 12q21 and variants near the ATP2B1 gene (rs17249754, P = 1.3 x 10(-7)). For waist-hip ratio, variants on chromosome 12q24 (rs2074356, P = 7.8 x 10(-12)) showed convincing associations, although no regional transcript has strong biological candidacy. Finally, we identified two loci influencing bone mineral density at multiple sites. On chromosome 7q31, rs7776725 (within the FAM3C gene) was associated with bone density at the radius (P = 1.0 x 10(-11)), tibia (P = 1.6 x 10(-6)) and heel (P = 1.9 x 10(-10)). On chromosome 7p14, rs1721400 (mapping close to SFRP4, a frizzled protein gene) showed consistent associations at the same three sites (P = 2.2 x 10(-3), P = 1.4 x 10(-7) and P = 6.0 x 10(-4), respectively). This large-scale GWA analysis of well-characterized Korean population-based samples highlights previously unknown biological pathways.

Association of lipoprotein lipase (LPL) single nucleotide polymorphisms with type 2 diabetes mellitus.

The etiology and pathogenesis of type 2 diabetes mellitus (T2DM) are not completely understood although it is often associated with other conditions such as obesity, hypertension, and dyslipidemia. Lipoprotein lipase (LPL) is a key enzyme in human lipid metabolism that facilitates the removal of triglyceride-rich lipoproteins from the bloodstream. LPL hydrolyzes the core of triglyceride-rich lipoproteins (chylomicrons and very low density lipoprotein) into free fatty acids and monoacylglycerol. To gain insight into the possible role of LPL in T2DM, nine single nucleotide polymorphisms (SNPs) of LPL were analyzed for the association with T2DM using 944 unrelated Koreans, including 474 T2DM subjects and 470 normal healthy controls. Of the nine LPL SNPs we analyzed, a significant association with multiple tests by the false discovery rate (FDR) was observed between T2DM and SNP rs343 (+13836C>A in intron 3). SNP rs343 was also marginally associated with some of T2DM-related phenotypes including total cholesterol, high density lipoprotein cholesterol (HDLc), and log transformed glycosylated hemoglobin in 470 normal controls, although no significant association was detected by multiple tests. In total, our results suggest that the control of lipid level by LPL in the bloodstream might be an important factor in T2DM pathogenesis in the Korean population.