Our meta-analysis confirmed that the angiotensin-converting enzyme I/D polymorphism was associated with sepsis risk. However, the angiotensin-converting enzyme I/D polymorphism was not associated with sepsis mortality.

This study aims to discover the therapeutic effect of chemokine (CXC motif) receptor 4 (CXCR4) antagonist AMD3100 combined with transcatheter arterial chemoembolization (TACE) in a rat model with hepatocellular carcinoma (HCC). An orthotopic model of HCC was established and treated with TACE (doxorubicin‐lipiodol emulsion) with or without AMD3100. The tumor volume was measured by magnetic resonance imaging (MRI). Histopathological changes were detected by hematoxylin–eosin (HE) staining. HCC cell apoptosis was assessed by terminal deoxyribonucleotidyl transferase (TdT)‐mediated biotin‐16‐dUTP nick‐end labeling (TUNEL) staining. Immunohistochemistry was used to detect the expression of CD34, hypoxia‐inducible factor 1α (HIF‐1α), vascular endothelial growth factor (VEGF), and Ki67. Gene and protein expressions were quantified by quantitative reverse‐transcription polymerase chain reaction (qRT‐PCR) and western blotting, respectively. Both TACE and AMD3100 reduced the tumor volume in orthotopic rat model of HCC with the decreased CXCR4 expression in tumor tissues, and the combination had better effect. However, TACE increased the microvessel density (MVD) in HCC tissues of rats, while AMD3100 treatment reduced MVD in HCC tissues. AMD3100 reduced the TACE induced MVD in HCC tissues with the reduction of HIF‐1α and VEGF expression. Either AMD3100 or TACE could promote HCC cell apoptosis accompanying by decreased cell proliferation, and their combined use had better therapeutic effects. CXCR4 antagonist AMD3100 enhance therapeutic efficacy of TACE in rats with HCC via promoting the HCC cell apoptosis, reducing cell proliferation, and inhibiting MVD, thus reducing tumor volume.

BackgroundEndovascular repair of type B aortic dissection (TBAD) with aberrant right subclavian artery (ARSA) is challenging due to anatomical complexity. The embedded modular single-branched stent graft (EMSBSG) could solve this problem. However, the hemodynamic efficacy of this innovative technique has not been fully assessed. This study aimed to propose morphometric and functional indicators to quantify the outcomes of EMSBSG in treating TBAD with ARSA.Material and MethodsA patient who had TBAD with ARSA underwent EMSBSG implantation was admitted. Computational fluid dynamics (CFD) and three-dimensional structural analyses were conducted based on CTA datasets before the operation (Pre-1) and at 4 and 25 days after EMSBSG implantation (Post-1 and Post-2). Quantitative and qualitative functional analyses were conducted via pressure-, velocity- and wall shear stress (WSS) -based parameters, such as the luminal pressure difference (LPD), total energy loss, and flow distribution ratio. By precisely registering the aortas at the three time points, parameter variations in the EMSBSG region were also computed to investigate the prognostic improvement after EMSBSG implantation.ResultsThe first balance point of LPD distally shifted to the abdominal aorta in Post-1 by a distance of 20.172 cm, and shifted out of the dissected region in Post-2, indicating positive pressure recovery post EMSBSG. The flow distribution ratios of all aortic arch branches increased after EMSBSG implantation. A positive normal deformation index in the EMSBSG region confirmed true lumen expansion; dominant ARN (area ratio of negative value) of pressure and WSS-based parameters indicated an improved prognosis from Post-1 to Post-2.ConclusionsThe short-term results of EMSBSG in treating TBAD with ARSA proved to be promising, especially in EMSBSG region. Comprehensive evaluation could provide new insight into the therapy of TBAD with ARSA. Thus, it might guide the further management of complex aortic arch lesions.

As an optical spectroscopic technique, Raman spectroscopy (RS) has shown promise for in vivo cancer diagnostics in various organs. Common Raman signals are extremely low and easily disturbed by fluorescence. In this study, we used surface-enhanced RS to scan patients' malignant and adjacent tissues, as well as the normal tissues. Raman scattering signals were acquired from 35 normal tissue samples and 39 laryngeal carcinoma tissue samples. Linear discriminant analysis (LDA), based on principal component analysis, was employed to generate diagnostic algorithms for the classification of different laryngeal tissue types. We found there were several variations in surface-enhanced RS (SERS) peaks, and the same with other malignant ones. When using the principle component-LDA (PC-LDA) algorithms, this study showed that the diagnostic sensitivity and specificity were 99.2% and 98.4%, respectively for the identifying cancer tissues from normal samples. Results show that there are significant spectral differences (different peak intensities) between cancer tissues and normal tissues. High classification accuracy can be achieved by using the PC-LDA diagnostic algorithm, which demonstrates the great potential of tissue-SERS analysis combined with PC-LDA diagnostic algorithms for cancer screening in laryngeal cancer.

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