Preimplantation genetic testing for complex chromosomal rearrangements: clinical outcomes and potential risk factors.

Objective: Complex chromosome rearrangements (CCR) are rare structural abnormalities involving at least three breakpoints, categorized into three types based on their structure: type A (three-way rearrangements), type B (double two-way translocations), and type C (exceptional CCR). However, thus far, limited data exists on preimplantation genetic testing for chromosomal structural rearrangements (PGT-SR) in CCR carriers. This study aims to evaluate the clinical outcomes and influencing factors of PGT-SR in couples with CCR. Methods: Fifteen couples with unique CCR recruited from 793 couples following PGT-SR between January 2017 and May 2023. In addition, a total of 54 CCR cases, 39 previously reported as well as 15 newly added, were included in the analysis of factors associate with normal/balanced embryos. Results: A total of 100 blastocysts were biopsied and analyzed in 15 CCR couples after 17 PGT-SR cycles, with 16.0% being euploid, 78.0% aneuploid and 6.0% mosaic. 11 normal/balanced embryos and one mosaic embryo were transferred, resulting in eight live births. Furthermore, based on the combined data from 54 CCR carriers, the proportion of normal/balanced embryos was 10.8%, with a significant decrease observed among female carriers compared to male heterozygotes (6.5% vs. 15.5%, p = 0.002). Type B exhibited the lowest rate of euploid embryos at only 6.7%, followed by type A at 11.6% and type C at 14.0%, although the differences were not significant (p = 0.182). After completing the multivariate generalized estimating equation (GEE) analysis, type B (p = 0.014) and female carrier (p = 0.002) were identified as independent risk factors for fewer euploid embryos. Conclusion: The occurrence of balanced CCR in patients with reproductive abnormalities may be more frequent than we expected. Despite the proportion of normal/balanced embryos being significantly low, which can be influenced by CCR type and carrier's sex, PGT-SR may improve the reproductive outcomes among CCR cases. These findings can optimize the clinical management and genetic counseling of CCR carriers seeking assisted reproductive technology (ART).

ZBTB21 suppresses CRE-mediated transcription to impair synaptic function in Down syndrome.

Down syndrome (DS) is the most common chromosomal disorder and a major cause of intellectual disability. The genetic etiology of DS is the extra copy of chromosome 21 (HSA21)-encoded genes; however, the contribution of specific HSA21 genes to DS pathogenesis remains largely unknown. Here, we identified ZBTB21, an HSA21-encoded zinc-finger protein, as a transcriptional repressor in the regulation of synaptic function. We found that normalization of the Zbtb21 gene copy number in DS mice corrected deficits in cognitive performance, synaptic function, and gene expression. Moreover, we demonstrated that ZBTB21 binds to canonical cAMP-response element (CRE) DNA and that its binding to CRE could be competitive with CRE-binding factors such as CREB. ZBTB21 represses CRE-dependent gene expression and results in the negative regulation of synaptic plasticity, learning and memory. Together, our results identify ZBTB21 as a CRE-binding protein and repressor in cAMP-dependent gene regulation, contributing to cognitive defects in DS.

Generation of virtual monoenergetic images at 40 keV of the upper abdomen and image quality evaluation based on generative adversarial networks.

BACKGROUND: Abdominal CT scans are vital for diagnosing abdominal diseases but have limitations in tissue analysis and soft tissue detection. Dual-energy CT (DECT) can improve these issues by offering low keV virtual monoenergetic images (VMI), enhancing lesion detection and tissue characterization. However, its cost limits widespread use. PURPOSE: To develop a model that converts conventional images (CI) into generative virtual monoenergetic images at 40 keV (Gen-VMI40keV) of the upper abdomen CT scan. METHODS: Totally 444 patients who underwent upper abdominal spectral contrast-enhanced CT were enrolled and assigned to the training and validation datasets (7:3). Then, 40-keV portal-vein virtual monoenergetic (VMI40keV) and CI, generated from spectral CT scans, served as target and source images. These images were employed to build and train a CI-VMI40keV model. Indexes such as Mean Absolute Error (MAE), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity (SSIM) were utilized to determine the best generator mode. An additional 198 cases were divided into three test groups, including Group 1 (58 cases with visible abnormalities), Group 2 (40 cases with hepatocellular carcinoma [HCC]) and Group 3 (100 cases from a publicly available HCC dataset). Both subjective and objective evaluations were performed. Comparisons, correlation analyses and Bland-Altman plot analyses were performed. RESULTS: The 192nd iteration produced the best generator mode (lower MAE and highest PSNR and SSIM). In the Test groups (1 and 2), both VMI40keV and Gen-VMI40keV significantly improved CT values, as well as SNR and CNR, for all organs compared to CI. Significant positive correlations for objective indexes were found between Gen-VMI40keV and VMI40keV in various organs and lesions. Bland-Altman analysis showed that the differences between both imaging types mostly fell within the 95% confidence interval. Pearson's and Spearman's correlation coefficients for objective scores between Gen-VMI40keV and VMI40keV in Groups 1 and 2 ranged from 0.645 to 0.980. In Group 3, Gen-VMI40keV yielded significantly higher CT values for HCC (220.5HU vs. 109.1HU) and liver (220.0HU vs. 112.8HU) compared to CI (p < 0.01). The CNR for HCC/liver was also significantly higher in Gen-VMI40keV (2.0 vs. 1.2) than in CI (p < 0.01). Additionally, Gen-VMI40keV was subjectively evaluated to have a higher image quality compared to CI. CONCLUSION: CI-VMI40keV model can generate Gen-VMI40keV from conventional CT scan, closely resembling VMI40keV.

A Three-dimensional Simulation Based on Radiofrequency Electrothermal Coupling fields for Skin Rejuvenation.

Radiofrequency (RF) current is used as an effective non-ablative method for skin rejuvenation. However, mixed results have been reported using different home-use RF devices. In order to evaluate the safety and effectiveness of home-use RF devices, this study has provided a three-dimensional (3D) simulation procedure based on the electrothermal coupling model for home-use RF devices. Firstly, the tissue geometric model with the setting electrode shapes was established and then imported into the simulation software. Secondly, electrical and thermal boundary conditions with excitation voltages were loaded to the corresponding components. In addition, the items of 3D temperatures at all locations and key temperatures of the tissue were assessed. The results have shown the temperature distributions of four commercial RF products, respectively. This 3D RF electrothermal coupling simulation can be conducted quickly and effectively to obtain the temperature and electric distribution of the home-use RF devices at different using periods, which is also useful for the design of home-use RF devices.Clinical Relevance- This study provides a simple and effective simulation procedure for device developers to evaluate the home-use RF devices when designing products. This simulation is also helpful for customer decision-making and performance evaluation considering different devices.

Predictive value of remnant-like particle cholesterol in the prediction of long-term AF recurrence after radiofrequency catheter ablation.

Objective: The relationship between remnant-like particle cholesterol (RLP-C) levels and the progression of atrial fibrillation (AF) is not known. This research aimed to explore the association of RLP-C with long-term AF recurrence events post-radiofrequency catheter ablation (RFCA) of AF. Methods: In total 320 patients with AF who were subjected to the first RFCA were included in this research. Baseline information and laboratory data of patients were retrospectively collected, and a 1-year follow-up was completed. The follow-up endpoint was defined as an AF recurrence event occurring after 3 months. Afterward, a multivariate Cox regression model was constructed to analyze the risk factors that affect AF recurrence. Results: AF recurrence occurred in 103 patients (32.2%) within 3-12 months after RFCA. Based on the multivariate Cox regression analysis, Early recurrence (ER) [hazard ratio (HR) =1.57, 95% confidence interval (CI): 1.04-2.36, P = 0.032)], coronary artery disease (CAD) (HR = 2.03, 95% CI: 1.22-3.38, P = 0.006), left atrium anterior-posterior diameter (LAD) (HR = 1.07, 95% CI: 1.03-1.10, P < 0.001), triglyceride (TG) (HR = 1.51, 95% CI: 1.16-1.96, P = 0.002), low-density lipoprotein cholesterol (LDL-C) (HR = 0.74, 95% CI: 0.55-0.98, P = 0.036), and RLP-C (HR = 0.75 per 0.1 mmol/L increase, 95% CI: 0.68-0.83, P < 0.001) were linked to the risk of AF recurrence. Among them, the relationship between RLP-C and AF recurrence was found for the first time. The predictive value of RLP-C for AF recurrence was analyzed utilizing receiver operating characteristic (ROC) curves [area under the curve (AUC) = 0.81, 95% CI: 0.77-0.86, P < 0.001]. Subsequently, the optimal threshold value of RLP-C was determined to be 0.645 mmol/L with a sensitivity of 87.4% and a specificity of 63.6% based on the Youden index. Additionally, Kaplan-Meier analysis indicated a lower AF recurrence rate in the >0.645 mmol/L group than in the ≤0.645 mmol/L group (Log-rank P < 0.001). Conclusion: Low levels of RLP-C are associated with a higher risk of AF recurrence post-RFCA, suggesting that RLP-C may be a biomarker that helps to identify long-term AF recurrence.

Associations between urinary glyphosate and diabetes mellitus in the US general adult: a cross-sectional study from NHANES 2013-2016.

Glyphosate-based herbicides (GBHs) are used extensively around the world and have become the leading agrochemicals. However, study about the association between glyphosate exposure and the risk of diabetes mellitus (DM) is scarce. This study used 4 years of NHANES data (2013-2016) to further investigate the association. A total of 2535 participants were enrolled in this cross-sectional study. The baseline information and urinary glyphosate levels in diabetic and non-diabetic groups were compared. Using multivariable logistic regression mode, we explored the association between both the continuous and categorical forms of urinary glyphosate and DM risk. Further subgroup analyses based on categorical covariates were also conducted. Urinary glyphosate levels were 0.42 ng/ml in participants with diabetes and 0.34 ng/ml in participants without diabetes (P < 0.05). As a continuous variable, ln-transformed urinary glyphosate was significantly associated with an increased risk of DM in the most adjusted model (OR 1.28, 95% CI 1.03-1.57). However, the association was not significant in the most adjusted categorical model (P > 0.05).In further subgroup analyses, the associations remained significant in several subgroups. This study provides new evidence that glyphosate exposure was associated with a higher risk of diabetes in the American general adult population.

Causal association between self-reported fatigue and coronary artery disease: a bidirectional two-sample Mendelian randomization analysis.

Background: Observational studies have reported the association between fatigue and coronary artery disease (CAD), but the causal association between fatigue and CAD is unclear. Method: We conducted a bidirectional Mendelian randomization (MR) study using publicly available genome-wide association studies (GWAS) data. The inverse-variance weighted (IVW) method was used as the primary analysis. We performed three complementary methods, including weighted median, MR-Egger regression, and MR pleiotropy residual sum and outlier (MR-PRESSO) to evaluate the sensitivity and horizontal pleiotropy of the results. Result: Self-reported fatigue had a causal effect on coronary artery atherosclerosis (CAA) (OR 1.047, 95%CI 1.033-1.062), myocardial infarction (MI) (OR 1.027 95%CI 1.014-1.039) and coronary heart disease (CHD) (OR 1.037, 95%CI 1.021-1.053). We did not find a significant reverse causality between self-reported fatigue and CAD. Given the heterogeneity revealed by MR-Egger regression, we employed the IVW random effect model. For the examination of fatigue on CHD and the reverse analysis of CAA, and MI on fatigue, the MR-PRESSO test found horizontal pleiotropy. No significant outliers were found. Conclusion: The MR analysis reveals a causal relationship between self-reported fatigue and CAD. The results should be interpreted with caution due to horizontal pleiotropy.

Correlations between iodine uptake, invasive CT features and pleural invasion in adenocarcinomas with pleural contact.

Pleural contact in lung cancers does not always imply pleural invasion (PI). This study was designed to determine whether specific invasive CT characteristics or iodine uptake can aid in the prediction of PI. The sample population comprised patients with resected solid lung adenocarcinomas between April 2019 and May 2022. All participants underwent a contrast enhanced spectral CT scan. Two proficient radiologists independently evaluated the CT features and iodine uptake. Logistic regression analyses were employed to identify predictors for PI, via CT features and iodine uptake. To validate the improved diagnostic efficiency, accuracy analysis and ROC curves were subsequently used. A two-tailed P value of less than 0.05 was considered statistically significant. We enrolled 97 consecutive patients (mean age, 61.8 years ± 10; 48 females) in our study. The binomial logistic regression model revealed that a contact length > 10 mm (OR 4.80, 95% CI 1.92, 11.99, p = 0.001), and spiculation sign (OR 2.71, 95% CI 1.08, 6.79, p = 0.033) were independent predictors of PI, while iodine uptake was not. Enhanced sensitivity (90%) and a greater area under the curve (0.73) were achieved by integrating the two aforementioned CT features in predicting PI. We concluded that the combination of contact length > 10 mm and spiculation sign can enhance the diagnostic performance of PI.

Transient ischemic attack and coronary artery disease: a two-sample Mendelian randomization analysis.

Background: Although observational studies have shown that patients who experienced transient ischemic attacks (TIAs) had a higher risk of coronary artery disease (CAD), the causal relationship is ambiguous. Methods: We conducted a two-sample Mendelian randomization (MR) study to analyze the causal relationship between TIA and CAD using data from the FinnGen genome-wide association study. Analysis was performed using the inverse-variance weighted (IVW) method. The robustness of the results was evaluated using MR-Egger regression, the weighted median, MR pleiotropy residual sum, and outlier (MR-PRESSO) and multivariable MR analysis. Results: Results from IVW random-effect model showed that TIA was associated with an increased risk of coronary artery atherosclerosis (OR 1.17, 95% CI 1.06-1.28, P = 0.002), ischemic heart disease (OR 1.15, 95% CI 1.04-1.27, P = 0.007), and myocardial infarction (OR1.15, 95% CI 1.02-1.29, P = 0.025). In addition, heterogeneity and horizontal pleiotropy were observed in the ischemic heart disease results, while the sensitivity analysis revealed no evidence of horizontal pleiotropy in other outcomes. Conclusions: This MR study demonstrated a potential causal relationship between TIA and CAD. Further research should be conducted to investigate the mechanism underlying the association.

Identification of the shared mechanisms and common biomarkers between Sjögren's syndrome and atherosclerosis using integrated bioinformatics analysis.

Background: Sjögren's syndrome (SS) is a chronic autoimmune disease characterized by exocrine and extra-glandular symptoms. The literature indicates that SS is an independent risk factor for atherosclerosis (AS); however, its pathophysiological mechanism remains undetermined. This investigation aimed to elucidate the crosstalk genes and pathways influencing the pathophysiology of SS and AS via bioinformatic analysis of microarray data. Methods: Microarray datasets of SS (GSE40611) and AS (GSE28829) were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were acquired using R software's "limma" packages, and the functions of common DEGs were determined using Gene Ontology and Kyoto Encyclopedia analyses. The protein-protein interaction (PPI) was established using the STRING database. The hub genes were assessed via cytoHubba plug-in and validated by external validation datasets (GSE84844 for SS; GSE43292 for AS). Gene set enrichment analysis (GSEA) and immune infiltration of hub genes were also conducted. Results: Eight 8 hub genes were identified using the intersection of four topological algorithms in the PPI network. Four genes (CTSS, IRF8, CYBB, and PTPRC) were then verified as important cross-talk genes between AS and SS with an area under the curve (AUC) ≥0.7. Furthermore, the immune infiltration analysis revealed that lymphocytes and macrophages are essentially linked with the pathogenesis of AS and SS. Moreover, the shared genes were enriched in multiple metabolisms and autoimmune disease-related pathways, as evidenced by GSEA analyses. Conclusion: This is the first study to explore the common mechanism between SS and AS. Four key genes, including CTSS, CYBB, IRF8, and PTPRC, were associated with the pathogenesis of SS and AS. These hub genes and their correlation with immune cells could be a potential diagnostic and therapeutic target.

Inhibition of lncRNA DANCR Prevents Heart Failure by Ameliorating Cardiac Hypertrophy and Fibrosis Via Regulation of the miR-758-3p/PRG4/Smad Axis.

The current work was developed to explore the functions and possible mechanism of PRG4 in cardiac hypertrophy and heart failure. Ang II-stimulated H9c2 cells and AC16 cells were used as in vitro cell models. The binding relation between genes in cells was explored using luciferase reporter assays and RNA immunoprecipitation assay. The cardiac functions of rats received transverse-ascending aortic constriction (TAC) surgery and adeno-associated virus (AAV) injection were examined with echocardiography. The myocardial histological changes were observed using H&E, wheat germ agglutinin, and sirius red staining. It was discovered that PRG4 silencing attenuated cell hypertrophy and fibrosis and inactivated the Smad pathway under Ang II treatment. PRG4 was targeted by miR-758-3p, and miR-758-3p interacted with long noncoding RNA DANCR. DANCR silencing inhibited cardiac dysfunction, fibrosis, and TGFß1/Smad pathway. In addition, DANCR was highly expressed in myocardial extracellular vesicles. Overall, DANCR depletion prevents heart failure by inhibiting cardiac hypertrophy and fibrosis via the miR-758-3p/PRG4/Smad pathway.

Discussion on key issues of carbon footprint accounting for bast fiber textiles.

Bast fiber textiles have become increasingly popular as a sustainable alternative in recent years. Although the carbon emissions of bast fiber textiles have been studied using life cycle assessment method, there is a lack of comprehensive literature analyzing and summarizing the results. This study reviews the current state of research on the carbon emissions of bast fiber textiles. Compared to other plant fibers, there are fewer studies on the carbon footprint or life cycle assessment of bast fiber textiles, and these studies lack a comprehensive "cradle to grave" or "gate to grave" analysis. In addition, inconsistencies exist in the allocation methods used for carbon footprint assessments. This study suggests a combination of physical and economic allocation to conduct a more accurate environmental impact assessment of bast fiber textiles. On the basis of the above review, this study modularizes the process of the entire life cycle of textiles and analyzes the carbon sequestration and emission characteristics to determine the main considerations for carbon footprint assessment. The carbon sequestration effect of bast fiber textiles should be analyzed at the raw material extraction stage and at the end-of-life stage. Oxygen release and consumption are also considered as additional factors to be quantified and analyzed in this study. In the future, the modular method should be used for all carbon footprint evaluation reports for bast fiber textiles. This method helps to comprehensively quantify and evaluate the carbon footprint of bast fiber textiles throughout their entire life cycle. It can provide recommendations for green design, green production and sustainable consumption.

Comparative analysis of automatic segmentation of esophageal cancer using 3D Res-UNet on conventional and 40-keV virtual mono-energetic CT Images: a retrospective study.

Objectives: To assess the performance of 3D Res-UNet for fully automated segmentation of esophageal cancer (EC) and compare the segmentation accuracy between conventional images (CI) and 40-keV virtual mono-energetic images (VMI40 kev). Methods: Patients underwent spectral CT scanning and diagnosed of EC by operation or gastroscope biopsy in our hospital from 2019 to 2020 were analyzed retrospectively. All artery spectral base images were transferred to the dedicated workstation to generate VMI40 kev and CI. The segmentation model of EC was constructed by 3D Res-UNet neural network in VMI40 kev and CI, respectively. After optimization training, the Dice similarity coefficient (DSC), overlap (IOU), average symmetrical surface distance (ASSD) and 95% Hausdorff distance (HD_95) of EC at pixel level were tested and calculated in the test set. The paired rank sum test was used to compare the results of VMI40 kev and CI. Results: A total of 160 patients were included in the analysis and randomly divided into the training dataset (104 patients), validation dataset (26 patients) and test dataset (30 patients). VMI40 kevas input data in the training dataset resulted in higher model performance in the test dataset in comparison with using CI as input data (DSC:0.875 vs 0.859, IOU: 0.777 vs 0.755, ASSD:0.911 vs 0.981, HD_95: 4.41 vs 6.23, all p-value <0.05). Conclusion: Fully automated segmentation of EC with 3D Res-UNet has high accuracy and clinically feasibility for both CI and VMI40 kev. Compared with CI, VMI40 kev indicated slightly higher accuracy in this test dataset.

Non-thyroidal illness syndrome and the prognosis of heart failure: a systematic review and meta-analysis.

Background: Heart failure (HF) is a complex and multifactorial syndrome caused by impaired heart function. The high morbidity and mortality of HF cause a heavy burden of illness worldwide. Non-thyroidal illness syndrome (NTIS) refers to aberrant serum thyroid parameters in patients without past thyroid disease. Observational studies have indicated that NTIS is associated with a higher risk of all-cause mortality in HF. This meta-analysis aimed to investigate the association between NTIS and HF prognosis. Methods: Medline, Embase, Web of Science, and the Cochrane database were searched for any studies reporting an association between NTIS and HF prognosis from inception to 1 July 2022. A meta-analysis was then performed. The quality of studies was assessed using the Newcastle-Ottawa Scale. The heterogeneity of the results was assessed with I2 and Cochran's Q statistics. Sensitivity analysis and publication bias analysis were also conducted. Results: A total of 626 studies were retrieved, and 18 studies were finally included in the meta-analysis. The results showed that NTIS in HF patients was significantly associated with an increased risk of all-cause mortality and major cardiovascular events (MACE), but not with in-hospital mortality. The stability of the data was validated by the sensitivity analysis. There was no indication of a publication bias in the pooled results for all-cause mortality and MACE. Conclusions: This meta-analysis showed that NTIS was associated with a worse outcome in HF patients. However, the association between NTIS and in-hospital mortality of HF patients requires further investigation.

A systematic review of the life cycle environmental performance of cotton textile products.

The production of cotton textiles involves cotton cultivation, ginning, spinning, weaving, knitting, dyeing, finishing, cutting and sewing. It consumes large quantities of freshwater, energy and chemicals, causing serious environmental impacts. The environmental impacts of cotton textiles have been studied extensively through various methods. However, little literature comprehensively summarizes current status of researches on environmental impact of cotton clothing comprehensively and identifies common problems to further study. To fill this gap, this study collates published results on the environmental performance of cotton clothing based on different environmental impact assessment methods, i.e., life cycle assessment, carbon footprint, and water footprint. Apart from the environmental impact results, this study also discusses the key issues when assessing the environmental impact of cotton textiles, such as data collection, carbon storage, allocation methods, and the environment benefits brought by recycling. In the production process of cotton textile products, there will be other co-products with economic value so that the environmental impact should be allocated. The economic allocation method is the most widely used method in the existing researches. In the future, considerable efforts are required to construct the accounting modules which consist of multiple modules, each representing a production process of cotton clothing and including an inventory of inputs under that process, such as cotton cultivation (water, fertilizer, pesticides), and spinning (electricity). It can ultimately be used to flexibly invoke one or more modules to calculate the environmental impact of cotton textiles. Moreover, returning carbonized cotton straw to the field can retain about 50 % of carbon, thus having a certain potential for carbon sequestration.

Intrinsic brain abnormalities in chronic rhinosinusitis associated with mood and cognitive function.

Background: Chronic rhinosinusitis (CRS) poses a risk for developing emotional and cognitive disorders. However, the neural evidence for this association is largely unclear. Resting-state functional magnetic resonance imaging (rs-fMRI) analysis can demonstrate abnormal brain activity and functional connectivity and contribute to explaining the potential pathophysiology of CRS-related mood and cognitive alterations. Methods: Chronic rhinosinusitis patients (CRS, n = 26) and gender- and age-matched healthy control subjects (HCs, n = 38) underwent resting-state functional MRI scanning. The amplitude of low-frequency fluctuations (ALFF) was calculated to observe the intrinsic brain activity. The brain region with altered ALFF was further selected as the seed for functional connectivity (FC) analysis. Correlation analysis was performed between the ALFF/FC and clinical parameters in CRS patients. Results: Compared with HCs, CRS patients exhibited significantly increased ALFF in the left orbital superior frontal cortex and reduced connectivity in the right precuneus using the orbital superior frontal cortex as the seed region. The magnitude of the orbital superior frontal cortex increased with inflammation severity. In addition, ALFF values in the orbital superior frontal cortex were positively correlated with the hospital anxiety and depression scale (HADS) scores. The ROC curves of altered brain regions indicated great accuracy in distinguishing between CRS patients and HCs. Conclusion: In this study, patients with CRS showed increased neural activity in the orbital superior frontal cortex, a critical region in emotional regulation, and this region also indicated hypoconnectivity to the precuneus with a central role in modulating cognition. This study provided preliminary insights into the potential neural mechanism related to mood and cognitive dysfunctions in CRS patients.

Promoting repair of highly purified stromal vascular fraction gel combined with advanced platelet-rich fibrin extract for irradiated skin and soft tissue injury.

Background: To evaluate the effect of highly purified stromal vascular fraction gel (SVFG) combined with advanced platelet-rich fibrin extract (APRFE) in treatment of irradiated skin and soft tissue injury. Methods: The subcutaneous fat and whole blood of 4 rabbits were collected to isolate the SVFG and APRFE, respectively. Forty-eight rabbits were divided into 4 groups to prepare irradiated skin injury models with 25 Gy for 24 hours; corresponding dose were performed subcutaneously injected into wounds. In group A, the rabbits were treated with 0.3 mL APRFE combined with 1 mL SVFG. In group B, the rabbits were treated with 1 mL SVFG. In group C, the rabbits were treated with 0.3 mL APRFE, and group D was treated with 1 mL normal saline. The wound healing was detected on the 2, 5, 9 and 14 d after intervention. The wounds tissue was cut for hematoxylin and eosin (HE) staining to observe the structure and Masson staining to observe the collagen content. The expression of CD31 in each group was detected by immunohistochemistry (IHC), the protein and mRNA levels of K19, hypoxia inducible factor-1 alpha (HIF-1α), vascular endothelial growth factor (VEGF), interleukin 8 (IL-8) and interleukin 10 (IL-10) were detected respectively by Western blot (WB) and reverse transcription-polymerase chain reaction (RT-PCR) on 7, 14 and 28 d after intervention. Results: It is revealed that wound healing rates from 5 to 14 d in group A was significantly higher than that of control. The wounds healing rates in group B and C were significantly higher than that of control after 12 d. Masson staining results showed that the collagen content in group A was significantly higher than that of the other 3 groups on the 7, 14 and 28 d. The results of IHC showed that the expression of CD31 in group A was significantly higher than that of the other 3 groups on 7, 14 and 28 d. WB and RT-PCR results showed that relative expression levels of K19, HIF-1α, VEGF, IL-10 in group A were significantly higher than that of the other 3 groups on 7, 14 and 28 d. However, the relative expression levels of IL-8 in group A was significantly lower than that of the other 3 groups on 7, 14 and 28 d. Conclusions: SVFG combined with APRFE can promote the repair of irradiated skin and soft tissue injury by accelerating angiogenesis, promoting collagen synthesis and reducing inflammation.

Parameter effects on arterial vessel sonicated by high-intensity focused ultrasound: anex vivovascular phantom study.

Objective.This study is aimed to explore the effects of vascular and sonication parameters onex vivovessel sonicated by high-intensity focused ultrasound.Approach.The vascular phantom embedding the polyolefin tube orex vivovessel was sonicated. The vascular phantom with 1.6 and 3.2 mm tubes was sonicated at three acoustic powers (2.0, 3.5, 5.3 W). The occlusion level of post-sonication tubes was evaluated using ultrasound imaging. The vascular phantom with theex vivoabdominal aorta of rabbit for three flow rates (0, 5, 10 cm s-1) was sonicated at two acoustic powers (3.5 and 5.3 W). Different distances between focus and posterior wall (2, 4, 6 mm) and cooling times (0 and 10 s) were also evaluated. The diameter of the sonicated vessel was measured by B-mode imaging and microscopic photography. Histological examination was performed for the sonicated vessels.Main results.For the 5 cm s-1flow rate, the contraction index of vascular diameter (Dc) with 5.3 W and 10 s cooling time at 2 mm distance was 39 ± 9% (n = 9). With the same parameters except for 0 cm s-1flow rate, theDcwas increased to 45 ± 7% (n = 4). At 3.5 W, theDcwith 5 cm s-1flow rate was 23 ± 15% (n = 4). The distance and cooling time influenced the lesion along the vessel wall.Significance.This study has demonstrated the flow rate and acoustic power have the great impact on the vessel contraction. Besides, the larger lesion covering the vessel wall would promote the vessel contraction. And thein vivovalidation is required in the future study.

Looking for the Genes Related to Lung Cancer From Nasal Epithelial Cells by Network and Pathway Analysis.

Previous studies have indicated that the airway epithelia of lung cancer-associated injury can extend to the nose and it was associated with abnormal gene expression. The aim of this study was to find the possible lung cancer-related genes from the nasal epithelium as bio-markers for lung cancer detection. WGCNA was performed to calculate the module-trait correlations of lung cancer based on the public microarray dataset, and their data were processed by statistics of RMA and t-test. Four specific modules associated with clinical features of lung cancer were constructed, including blue, brown, yellow, and light blue. Of which blue or brown module showed strong connection to genetic connectivity. From the brown module, it was found that HCK, NCF1, TLR8, EMR3, CSF2RB, and DYSF are the hub genes, and from the blue module, it was found that SPEF2, ANKFN1, HYDIN, DNAH5, C12orf55, and CCDC113 are the pivotal genes corresponding to the grade. These genes can be taken as the bio-markers to develop a noninvasive method of diagnosing early lung cancer.