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Background Color Doppler ultrasonography (CDUS) is used to evaluate the surgical success and postoperative hemodynamic changes of patients who receive superficial temporal to middle cerebral artery (STA-MCA) bypass surgery. Previous studies enrolled small populations, and difficulties interpreting the results have limited their use in clinical settings. Objective We attempted to determine the feasibility of using CDUS to evaluate STA hemodynamics and identify the most reliable parameter as a new clinical implication for determining bypass patency. Method Twenty-six patients who underwent STA-MCA bypass surgery were prospectively enrolled. Four times CDUS and two times digital subtraction angiography (DSA) were performed. The CDUS parameters were compensated using the ratio of the operated to the non-operated sides ( R 1) and compared before and after surgery ( R 2). The CDUS parameters are then compared with the patency on DSA by statistical analyses. Results Increased CDUS parameters of the mean flow rate (MFR) and cross-sectional diameter (CSD) showed significant correlations with good patency on DSA. The R 2 at 1 month was identified as the most reliable parameter for predicting the patency in both MFR and CSD. Their cutoff values were 1.475 and 1.15, respectively. Conclusion CDUS can be utilized for predicting the patency after STA-MCA bypass surgery; if the postoperative (compensated and compared) CDUS parameters increased by more than 47.5% in the MFR or 15% in the CSD, the patency of the anastomosis on DSA would be good.

Purpose Moyamoya disease is a chronic cerebrovascular disorder characterized by progressive stenosis of the circle of Willis with a compensatory collateral vessel network. Recent studies have identified the ring finger protein 213 gene ( RNF213 ) as the unique susceptibility gene for moyamoya disease. The purpose of this study was to compare clinical features of moyamoya disease, especially angiographic findings, between patients with and without the RNF213 mutation. Methods Blood samples from 35 patients with moyamoya disease were obtained between May 2016 and May 2017. Information on age at the time of diagnosis, sex, and initial symptom were obtained via retrospective chart review. Angiographic records were evaluated. Results RNF213 variants were detected in the 28 of 35 patients (80%), including all pediatric patients (100%) and 18 of 25 adult patients (72%) in our cohort. Leptomeningeal collateral flow from posterior to anterior circulation was more frequent in the RNF213 -negative group than in the RNF213 -positive group (100% versus 38.9%; p  = 0.020). Posterior cerebral arterial territorial involvement was more frequently observed in RNF213 -positive patients than in RNF213 -negative patients (50% versus 0%; p  = 0.027). Conclusions RNF213 may play a significant role in the development of collateral anastomoses.

Objectives Gait recovery is an important goal in stroke patients. Several studies have sought to uncover relationships between specific brain lesions and the recovery of gait, but the effects of specific brain lesions on gait remain unclear. Thus, we investigated the effects of stroke lesions on gait recovery in stroke patients. Materials and Methods In total, 30 subjects with stroke were assessed in a retrograde longitudinal observational study. To assess gait function, the functional ambulation category (FAC) was tested four times: initially (within 2 weeks) and 1, 3, and 6 months after the onset of the stroke. Brain lesions were analyzed via overlap, subtraction, and voxel‐based lesion symptom mapping (VLSM). Results Ambulation with FAC improved significantly with time. Subtraction analysis showed that involvement of the corona radiata, internal capsule, globus pallidus, and putamen were associated with poor recovery of gait throughout 6 months after onset. The caudate nucleus did influence poor recovery of gait at 6 months after onset. VLSM revealed that corona radiata, internal capsule, globus pallidus, putamen and cingulum were related with poor recovery of gait at 3 months after onset. Corona radiata, internal capsule, globus pallidus, putamen, primary motor cortex, and caudate nucleus were related with poor recovery of gait at 6 months after onset. Conclusion Results identified several important brain lesions for gait recovery in patients with stroke. These results may be useful for planning rehabilitation strategies for gait and understanding the prognosis of gait in stroke patients. Gait recovery is an important goal in stroke patients. Corona radiata, internal capsule, and striatum were associated with poor recovery of gait. Caudate nucleus and putamen have an important role in the recovery of the gait in patients with stroke.

High efficiency and flexible inverted organic solar cells have been fabricated using solution-processed silver nanowire/zinc oxide composite transparent electrodes. The transparent electrodes showed a low sheet resistance of -13 ff）.sq-1 and high transmittance of -93% as well as superior mechanical flexibility. Power conversion efficiencies of -7.57% and -7.21% were achieved for devices fabricated on glass and plastic substrate, respectively. Moreover, the flexible devices did not show any degradation in their performance even after being folded with a radius of-480 μm.

为了评估血清前列腺特异抗原对前列腺体积及下尿路症状（由IPSS评分来表示）的预测功能，我们收集了2001年1月至2011年12月首次入选韩国前列腺健康协会筛选项目的男性患者资料。血清前列腺特异抗原水平大于10ngml。或年龄大于40岁的患者被剔除。因此，共34857人纳入了我们的研究，检测和估算所有患者的血清PSA，PV和IIPSS。使用线性和年龄修正的多因素Logistic回归分析来评估PSA与PV或IPSS之间的潜在联系。PSA对估算PV及IPSS的预测价值通过ROC曲线下面积来评估。平均PV为29．9ml，平均PSA水平为1．49ng ml^-1，平均IPSS为15．4，PSA与PV之间有显著关系，在年龄修正后IPSS评分与PSA有显著相关性。PSA预测PV〉20ml，25ml和35ml的AUC分别为0．722，0．728和0．779。PSA预测IPSS〉7，〉13，〉19的AUC分别为0．548，0．536和0．537。在一项以社区为基础的大型筛选队列研究中，血清PSA是一个很强的PV预测指标。尽管PSA与IPSS也有着重要相关性，但PSA对截止水平以上的IPSS预测价值并不理想。需要通过进一步的前瞻性对照研究来明晰PSA与LUTS之间以及PSA与PV之间的确切相互作用。这些研究也许可以建议如何应用PSA来临床预测PV和IPSS。

In this study, we investigated the effects of a combination of Ginkgo biloba extracts （GBE） and phosphodiesterase type 5 （PDE-5） inhibitors on the muscular tone of the corpus cavernosum and potassium channel activity of corporal smooth muscle cells. Strips of corpus cavernosum from male New Zealand white rabbits were mounted in organ baths for isometric tension studies. After contraction with 1 × 10^-5 mol I^-1 norepinephrine, GBE （0.01-1 mg ml^-1） and mirodenafil （0.01-100 nmol I^-1） were added together into the organ bath. In electrophysiological studies, whole-cell currents were recorded by the conventional patch-clamp technique in cultured smooth muscle cells of the human corpus cavernosum. The corpus cavemosum was relaxed in response to GBE in a dose-dependent manner （from 0.64%±8.35% at 0.01 mg ml^-1 to 52.28%±11.42% at 1 mg ml^-1）. After pre-treatment with 0.03 mg ml^-1 of GBE, the relaxant effects of mirodenafil were increased at all concentrations, After tetraethylammonium （TEA） （1 mmol I^-1） administration, the increased effects were inhibited （P〈0.01）. Extracellular administration of GBE increased the whole-cell K^＋ outward currents in a dose-dependent fashion. The increase of the outward current was inhibited by I mmol 1-1 TEA. These results suggest that GBE could increase the relaxant potency of mirodenafil even at a minimally effective dose. The K＋ flow through potassium channels might be one of the mechanisms involved in this synergistic relaxation.

Microalgae can accumulate various carbon-neutral products, but their real-world applications are hindered by their CO 2 susceptibility. Herein, the transcriptomic changes in a model microalga, Chlamydomonas reinhardtii , in a high-CO 2 milieu (20%) are evaluated. The primary toxicity mechanism consists of aberrantly low expression of plasma membrane H + -ATPases (PMAs) accompanied by intracellular acidification. Our results demonstrate that the expression of a universally expressible PMA in wild-type strains makes them capable of not only thriving in acidity levels that they usually cannot survive but also exhibiting 3.2-fold increased photoautotrophic production against high CO 2 via maintenance of a higher cytoplasmic pH. A proof-of-concept experiment involving cultivation with toxic flue gas (13 vol% CO 2 , 20 ppm NO X , and 32 ppm SO X ) shows that the production of CO 2 -based bioproducts by the strain is doubled compared with that by the wild-type, implying that this strategy potentially enables the microalgal valorization of CO 2 in industrial exhaust. Microalgae used for CO 2 removal in an industrial exhaust gas stream usually has low CO 2 tolerance. Here, the authors increase CO 2 tolerance by expressing a single H + -pump and enable microalgal valorization of industrial flue gas.

Hepatic encephalopathy (HE) is a serious complication of cirrhosis that causes neuropsychiatric problems, such as cognitive dysfunction and movement disorders. The link between the microbiota and the host plays a key role in the pathogenesis of HE. The link between the gut microbiome and disease can be positively utilized not only in the diagnosis area of HE but also in the treatment area. Probiotics and prebiotics aim to resolve gut dysbiosis and increase beneficial microbial taxa, while fecal microbiota transplantation aims to address gut dysbiosis through transplantation (FMT) of the gut microbiome from healthy donors. Antibiotics, such as rifaximin, aim to improve cognitive function and hyperammonemia by targeting harmful taxa. Current treatment regimens for HE have achieved some success in treatment by targeting the gut microbiota, however, are still accompanied by limitations and problems. A focused approach should be placed on the establishment of personalized trial designs and therapies for the improvement of future care. This narrative review identifies factors negatively influencing the gut–hepatic–brain axis leading to HE in cirrhosis and explores their relationship with the gut microbiome. We also focused on the evaluation of reported clinical studies on the management and improvement of HE patients with a particular focus on microbiome-targeted therapy.

Background Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies and most often diagnosed at an advanced stage. Identification of markers for the early diagnosis of PDAC is crucial. In this study, we aimed to identify novel mRNA biomarkers for diagnosing PDAC, focusing on early-stage tumorigenesis and associated immunological changes. Methods Blood samples and clinical information from 1,963 individuals were obtained from a single tertiary hospital between 2015 and 2021. Candidate mRNA biomarkers were identified through literature review, and their expression levels in buffy coat samples were measured using reverse-transcription quantitative polymerase chain reaction. Machine learning-based feature selection confirmed the final biomarker panel, which was tested using an independent dataset for diagnostic performance. Results In total, 1,504 individuals (417 patients with PDAC and 1,087 non-disease controls) were eligible for the study. Among the 55 candidate biomarkers identified, 15 mRNAs ( CCL5 , CCR5 , CLEC7A , CXCL8 , CXCR2 , CXCR4 , FOXP3 , IFNA1 , IFNL1 , PTGES , PTGES2 , PTGS2 , SLC27A2 , TNF , and VEGFA) were selected based on their diagnostic performance in distinguishing PDAC from control groups. The final model, HELP-15 (Human Early Liquid biopsy for PDAC), identified all PDAC stages (area under the curve [AUC] = 0.956) in the test set. For resectable pancreatic cancer (RPC), the AUC was 0.968, compared to 0.910 for carbohydrate antigen 19 − 9 (CA19-9). The combined model of the panel and CA19-9 achieved an AUC of 0.985 in patients with RPC. For all PDAC stages in patients with normal CA19-9 levels, the AUC of the panel was 0.967, whereas CA19-9 alone or in combination with the panel had AUCs of 0.658 and 0.885, respectively. Conclusion Compared to CA19-9, the mRNA biomarker panel, HELP-15, improved diagnostic performance in patients with RPC, particularly in those with normal CA19-9 levels.

In the event of a maritime accident, surveying the maximum area efficiently in the least amount of time is crucial for rescuing survivors. Increasingly, unmanned aerial vehicles (UAVs) are being used in search and rescue operations. This study proposes a method to generate a search path that covers all generated nodes in the shortest amount of time with multiple heterogeneous UAVs. The proposed model, which is a mixed-integer linear programming (MILP) model based on a hexagonal grid-based decomposition method, was verified through a simulation analysis based on the performance of an actual UAV. This study presents both the optimization technique’s calculation time as a function of the search area size and the various UAV routes derived as the search area grows. The results of this study can have wide-ranging applications for emergency search and rescue operations.