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OBJECTIVES: To perform a comprehensive bibliometric analysis of global publications on the applications of artificial intelligence (AI) in cardiology. METHODS: Documents related to AI in cardiology published between 2002 and 2022 were retrieved from Web of Science Core Collection. R package "bibliometrix", VOSviewers and Microsoft Excel were applied to perform the bibliometric analysis. RESULTS: A total of 4332 articles were included. United States topped the list of countries publishing articles, followed by China and United Kingdom. The Harvard University was the institution that contributed the most to this field, followed by University of California System and University of London. Disease risk prediction, diagnosis, treatment, disease detection, and prognosis assessment were the research hotspots for AI in cardiology. CONCLUSIONS: Enhancing cooperation between different countries and institutions is a critical step in leading to breakthroughs in the application of AI in cardiology. It is foreseeable that the application of machine learning and deep learning in various areas of cardiology will be a research priority in the coming years.
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IgA nephropathy (IgAN) is the most common form of primary glomerulonephritis worldwide, but etiology and pathogenesis continue to be poorly understood. Polymorphisms in the cytokine genes may play a role in the etiology and pathogenesis of IgAN. The incidence of different between diverse ethnic groups suggested important genetic influences on its pathogenesis. We genotype 10 single nucleotide polymorphisms (SNPs) in IL-1B and IL-6 gene using Sequenom Mass-ARRAY technology from 417 IgAN patients and 463 healthy controls of the Chinese Han population. We evaluated these SNPs associated with IgAN utilising the chi-square tests and genetic model analysis. We identified that the minor alleles of rs16944 ("A"), rs1800796 ("G") in IL-1B, IL-6 were involved in an increasingly risk of IgAN in allelic model analysis, respectively. The rs16944 in IL-1B and rs1800796 in IL-6 were associated with 1.23-fold (95% CI, 1.02-1.48, P = 0.031) and 1.33-fold (95% CI, 1.11-1.66, P = 0.003) increases in the risk of developing IgAN, respectively. There was only rs1800796 still correlated with IgAN in the allelic model after adjustment by age and gender and the Bonferroni correction. In addition, Haplotype Grs1800796A rs2069837G rs2069840 (P = 0.037) and G rs1800796A rs2069837C rs2069840 (P = 0.042) in IL-6were considered to be associated with increased IgAN risk. This study verified the IL-6, IL-1B genetic variants polymorphisms contributed to IgAN susceptibility in a Chinese Han population. Although we identified SNPs susceptibility, however, replication studies and functional research are required to confirm the genetic contribution in IgAN.
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Multiple genetic and environmental factors together contribute to the risk of IgA nephropathy (IgAN). MPHOSPH6 play an important role in the recruitment of the exosome to the pre-rRNA. However, to date, little information is found about the association between MPHOSPH6 polymorphisms and the IgAN risk. In this case-control study, we genotyped five single nucleotide polymorphisms (SNPs) in MPHOSPH6 gene in 416 IgAN cases and 495 controls using Sequenom Mass-ARRAY technology and evaluated their association with IgAN using the χ2 and genetic model analysis. In the allelic model analysis, we determined rs1056654 was associated with a 0.774-fold decrease in the risk of IgAN (95%CI= 0.630-0.952; p = 0.015). In the genetic model analysis, we found that the "C/C" genotype of rs1056675 was associated with an increased risk of IgAN based on the codominant model (OR =1.48; 95% CI=1.03-2.13; p=0.033) and recessive model (OR =1.52; 95% CI=1.11-2.09; p=0.0095). The "G/A-A/A" genotype of rs1056654 was associated with a decreased risk of IgAN based on the dominant model (OR =0.75; 95% CI=0.58-0.98; p=0.032) and log-additvie model (OR =0.78; 95% CI=0.64-0.96; p=0.0188). Our data suggested that gene polymorphisms in the MPHOSPH6 may exert influences IgAN susceptibility in a Chinese Han population.
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AIM: IgA nephropathy (IgAN) is the major cause of end-stage renal disease(ESRD) in Asia and its pathogenesis is influenced by both genetic and environmental factors. Single nucleotide polymorphisms (SNPs) in IL1R1 and IL-1R2 may be associated with susceptibility to IgAN. In this study, we study the association between genetic variants of IL-1R1 and IL-1R2 and IgA nephropathy risk in the Chinese Han population. RESULT: In the allelic model analysis, the rs10490571 and rs3917225 were associated with a 1.40-fold, and 1.31-fold increased risk of IgA nephropathy, respectively. In the genetic model analysis, the rs10490571 in IL1R1 was associated with a 1.46-fold increased risk of IgAN in the dominant model and 1.36-fold increased risk in the Log-additive model, respectively. However, the rs3218977 in IL1R2 was associated with a 0.71-fold decrease risk of IgAN in the dominant model and a 0.71-fold decrease risk in the over-dominant model, respectively. We found four SNPs (rs11674595, rs4851521, rs719250, and rs3218896) constructed four haplotypes in the IL1R2 gene and none of the haplotype was significantly associated with risk of IgAN. MATERIALS AND METHODS: A case-control study was conducted including 426 nephropathy patients and 463 healthy controls. Chi-squared tests and genetic model were used to evaluate associations. >CONCLUSIONS: These findings suggested that IL-1R1 and IL-1R2 polymorphisms may contribute to the development of IgAN.
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An energy harvesting type ultrasonic motor is presented in this work. The novel motor not only can drive and/or position the motion mechanism, but also can harvest and convert the vibration-induced energy of the stator into electric energy to power small electronic devices. In the new motor, the stator is a sandwich structure of two PZT rings and an elastic metal body. The PZT ring bonded on the bottom surface is used to excite the stator metal body to generate a traveling wave with converse piezoelectric effect, and the other PZT ring bonded on top surface is used to harvest and convert the vibration-induced energy of the stator into electric energy with direct piezoelectric effect. Finite element method is adopted to analyze the vibration characteristics and the energetic characteristic. After the fabrication of a prototype, the mechanical output and electric energy output abilities are measured. The maximum no-load speed and maximum output torque of the prototype are 117rpm and 0.65Nm at an exciting voltage with amplitude of 134 Vp-p and frequency of 40kHz, and the maximum harvesting output power of per sector area of the harvesting PZT is 327mW under an optimal equivalent load resistance of 6.9kΩ.
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Disturbances in hemostasis are common complications of kidney diseases and correlate well with cardiovascular mortality. Little is known about the effects of fasudil on tissue factor (TF) and plasminogen activator inhibitor-1 (PAI-1) expression in peripheral blood mononuclear cells (PBMCs) in CAPD patients. PBMCs were isolated from 13 individuals with CAPD and 13 healthy subjects. After 4 h of incubation with or without LPS (10 ng/mL), TF and PAI-1 mRNA of PBMCs were detected by RT-PCR. The levels of TF and PAI-1 in culture supernatants of PBMCs were determined by ELISA. Compared with healthy controls, CAPD patients had increased TF, PAI-1 protein and mRNA expression by PBMCs at baseline and after stimulated by LPS (10 ng/mL) [p < 0.001]. The fasudil treatment resulted in a significant effect in decreasing TF and PAI-1 [p < 0.05] synthesis in PBMCs. TF and PAI-1 mRNA expression and activities in PBMCs were increased in CAPD patients. Fasudil reduced LPS-mediated TF and PAI-1 expression and activity in PBMCs. These effects may partially be relevant to the clinical benefits of fasudil in the treatment of CAPD patients.