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Background: To develop and validate a preoperative nomogram model combining the radiomics signature and clinical features for preoperative prediction of visceral pleural invasion (VPI) in lung nodules presenting as part‐solid density. Methods: We retrospectively reviewed 156 patients with pathologically confirmed invasive lung adenocarcinomas after surgery from January 2016 to August 2019. The patients were split into training and validation sets by a ratio of 7:3. The radiomic features were extracted with the aid of FeAture Explorer Pro (FAE). A CT‐based radiomics model was constructed to predict the presence of VPI and internally validated. Multivariable regression analysis was conducted to construct a nomogram model, and the performance of the models were evaluated with the area under the receiver operating characteristic curve (AUC) and compared with each other. Results: The enrolled patients were split into training (n = 109) and validation sets (n = 47). A total of 806 features were extracted and the selected 10 optimal features were used in the construction of the radiomics model among the 707 stable features. The AUC of the nomogram model was 0.888 (95% CI: 0.762–0.961), which was superior to the clinical model (0.787, 95% CI: 0.643–0.893; p = 0.049) and comparable to the radiomics model (0.879, 95% CI: 0.751–0.965; p > 0.05). The nomogram model achieved a sensitivity of 90.5% and a specificity of 76.9% in the validation dataset. Conclusions: The nomogram model could be considered as a noninvasive method to predict VPI with either highly sensitive or highly specific diagnoses depending on clinical needs. [ABSTRACT FROM AUTHOR]

The epidemic of infectious diseases is a public issue that should be taken seriously. Novel coronavirus pneumonia is sweeping across the world, focus on the related intelligent product design which can play a key role in the epidemic control is urgent and essential. This article based on the intelligent product design, by analyzing the current epidemic situation to find the week-points in the process of epidemic prevention, then using the user behavior analysis research and persona to pitching in, establish a certain resupply vehicle design “Helper” that may inspire the Novel coronavirus pneumonia epidemic control and the infectious diseases may happen in the future.

Background: The poor outcome of patients with esophageal squamous cell carcinoma (ESCC) highlights the importance of the identification of novel effective prognostic biomarkers. We aimed to identify a clinically applicable prognostic immunohistochemistry (IHC) panel for ESCC. Methods: An integrated analysis was performed to screen and establish a prognostic panel using exome sequencing profile from 81 pairs of ESCC samples and RNA expression microarray data from 119 ESCC subjects. Two independent ESCC cohorts were recruited as training and validation groups to test the prognostic value. Results: Three genes were selected, namely, ANO1, GAL, and MMP3, which were aberrantly expressed in ESCC tumor tissues (P <.001). Among them, ANO1 and MMP3 were reserved for the construction of the prognostic panel due to their significant association with the prognosis of ESCC patients (P =.015 and P <.001). Patients with both ANO1+ and MMP3+ had a poorer prognosis than that with ANO1−/MMP3+, ANO1+/MMP3−, or ANO1−/MMP3 − in both the training set and validation set (P <.001). Receiver operating characteristic analysis showed that the combination of IHC panel and eighth American Joint Commission on Cancer staging yielded a better prognostic predictive efficacy compared with the two indexes alone (P <.001, area under curve: 0.752). Finally, a nomogram was created by integrating the IHC markers and clinicopathological risk factors to predict prognosis with a C‐index of 0.695 (95% confidence interval: 0.657‐0.734). Conclusion: Using an integrated multistage screening strategy, we identified and validated a valuable prognostic IHC panel for ESCC. [ABSTRACT FROM AUTHOR]

Air pollution characterized by fine particulate matter (PM2.5) frequently has occurred in China, and has posed threats to human health. The physiochemical characteristics of airborne PM2.5 have been extensively studied, but its bacterial structures and functions have not yet been well studied. Herein, we focused on the structural characteristics and functional implications of airborne bacteria under different pollution levels in Beijing and Shanghai. The α- and β-diversities showed no obvious difference in two cities (p > 0.05). The dominant phyla Proteobacteria, Firmicutes, and Actinobacteria with total abundance of over 92% were found in all PM2.5 samples. The results of weighted unifrac non-metric multidimensional scaling (NMDS) suggested that air pollution was no obviously correlated with bacterial community but dispersed disorderly. Furthermore, canonical correlation analysis (CCA) and permutation test indicated that NH 4 + , SO 4 2 - , and wind speed were the key factors that associated with airborne bacterial community structure. Chemical components of particulate matter played more important role in structuring bacterial community than meteorological conditions based on the result of partial CCA. In addition, the annotation of metabolic pathway suggested that the predominant genus Pseudomonas was obviously correlated with disease infections. Several dominant species might contribute to organic degradation, nitrogen cycles, and ice-nuclei activities in environments. Overall, this work enhanced our understanding of functions of airborne bacteria and highlighted their potential role in atmospheric chemical progresses. [ABSTRACT FROM AUTHOR]

Diabetic cardiomyopathy (DCM) is a specific heart condition in diabetic patients, which is a major cause of heart failure and significantly affects quality of life. DCM is manifested as abnormal cardiac structure and function in the absence of ischaemic or hypertensive heart disease in individuals with diabetes. Although the development of DCM involves multiple pathological mechanisms, mitochondrial dysfunction is considered to play a crucial role. The regulatory mechanisms of mitochondrial dysfunction mainly include mitochondrial dynamics, oxidative stress, calcium handling, uncoupling, biogenesis, mitophagy, and insulin signaling. Targeting mitochondrial function in the treatment of DCM has attracted increasing attention. Studies have shown that plant secondary metabolites contribute to improving mitochondrial function and alleviating the development of DCM. This review outlines the role of mitochondrial dysfunction in the pathogenesis of DCM and discusses the regulatory mechanism for mitochondrial dysfunction. In addition, it also summarizes treatment strategies based on plant secondary metabolites. These strategies targeting the treatment of mitochondrial dysfunction may help prevent and treat DCM., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Pan, Hao, Zhang, Wei, Du, Yan, Wang, Deng and Hou.)

Background: Current studies suggest that for early-stage lung cancers with a component of ground-glass opacity measuring ≤2 cm, sublobar resection is suitable if it ensures adequate margins. However, lobectomy may be necessary for some cases to achieve this. The aim of this study was to explore the impact of size and depth on surgical techniques for wedge resection, segmentectomy, and lobectomy in early-stage lung cancer ≤2 cm, and to determine methods for ensuring a safe resection margin during sublobar resections., Methods: Clinical data from 385 patients with early-stage lung cancer ≤2 cm, who underwent lung resection in 2022, were subject to a retrospective analysis, covering three types of procedures: wedge resection, segmentectomy and lobectomy. The depth indicator as the OA value, which is the shortest distance from the inner edge of a pulmonary nodule to the opening of the corresponding bronchus, and the AB value, which is the distance from the inner edge of the nodule to the pleura, were measured. For cases undergoing lobectomy and segmentectomy, three-dimensional computed tomography bronchography and angiography (3D-CTBA) was performed to statistically determine the number of subsegments required for segmentectomy. The cutting margin width for wedge resection and segmentectomy was recorded, as well as the specific subsegments and their quantities removed during lung segmentectomy were documented., Results: In wedge resection, segmentectomy, and lobectomy, the sizes of pulmonary nodules were (1.08±0.29) cm, (1.31±0.34) cm and (1.50±0.35) cm, respectively, while the depth of the nodules (OA values) was 6.05 (5.26, 6.85) cm, 4.43 (3.27, 5.43) cm and 3.04 (1.80, 4.18) cm for each procedure, showing a progressive increasing trend (P<0.001). The median resection margin width obtained from segmentectomy was 2.50 (1.50, 3.00) cm, significantly greater than the 1.50 (1.15, 2.00) cm from wedge resection (P<0.001). In wedge resections, cases where AB value >2 cm demonstrated a higher proportion of cases with resection margins less than 2 cm compared to those with margins greater than 2 cm (29.03% vs 12.90%, P=0.019). When utilizing the size of the nodule as the criterion for resection margin, the instances with AB value >2 cm continued to show a higher proportion in the ratio of margin distance to tumor size less than 1 (37.50% vs 17.39%, P=0.009). The median number of subsegments for segmentectomy was three, whereas lobectomy cases requiring segmentectomy involved five subsegments (P<0.001)., Conclusions: The selection of the surgical approach for lung resection is influenced by both the size and depth of pulmonary nodules. This study first confirms that larger portions of lung tissue must be removed for nodules that are deeper and larger to achieve a safe margin. A distance of ≤2 cm from the inner edge of the pulmonary nodule to the nearest pleura may be the ideal indication for performing wedge resection.

Aims: In this study, we aim to establish an integrated research strategy for the rapid chemical profiling of Compound Huanggen Granules (CHG) and absorbed prototypes in plasma by integrating the UHPLC-Q-TOF-MS E method and data post-processing strategy, to provide some valuable research basis for the further studies on the quality control, pharmacokinetics and pharmacodynamics of CHG., Background: Compound Huanggen Granules (CHG), a traditional Chinese medicine (TCM) hospital preparation, has long been used in clinical practice for the prevention and treatment of liver fibrosis. However, due to the lack of in vitro chemical and in vivo metabolism studies, its pharmacodynamic material basis is still unrevealed., Objective: To simplify the mass data post-processing process and enhance the structural identification efficiency by reducing the possibility of false positive, and rapidly identify the absorbed prototypes in plasma after oral administration of CHG., Methods: An analytical strategy integrating ultra high-performance liquid chromatography coupled with quadrupletime- of-flight mass spectrometry (UHPLC-Q-TOF-MS E , E represents collision energy) method and data postprocessing strategy based on a self-built in-house components database was established and utilized for the rapid characterization of the multi-constituents of CHG and prototypes in cynomolgus monkey plasma after oral administration., Results: As a result, a total of 81 compounds, including 14 phenolic acids, 6 coumarins, 25 flavonoids, 5 anthraquinones, 5 phenylpropanoids, 15 triterpenoid saponins, and 11 others, were plausibly or unambiguously identified based on their accurate masses, and MS/MS fragment pathways analysis, and also by comparison of retention time and MS data with reference standards. In the in vivo study, according to the extracted ion chromatograms (EICs) of identified components, 34 absorbed prototypical components were rapidly identified in cynomolgus monkey plasma after oral administration., Conclusion: It was demonstrated that the data post-processing strategy applied in this study could greatly simplify the data post-processing process and enhance the structural identification efficiency by reducing the possibility of false positives, and the results obtained might be helpful for further studies on the quality control, pharmacokinetics and pharmacodynamics of CHG., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Air pollution characterized by fine particulate matter (PM 2.5 ) frequently has occurred in China, and has posed threats to human health. The physiochemical characteristics of airborne PM 2.5 have been extensively studied, but its bacterial structures and functions have not yet been well studied. Herein, we focused on the structural characteristics and functional implications of airborne bacteria under different pollution levels in Beijing and Shanghai. The α- and β-diversities showed no obvious difference in two cities ( p > 0.05). The dominant phyla Proteobacteria, Firmicutes, and Actinobacteria with total abundance of over 92% were found in all PM 2.5 samples. The results of weighted unifrac non-metric multidimensional scaling (NMDS) suggested that air pollution was no obviously correlated with bacterial community but dispersed disorderly. Furthermore, canonical correlation analysis (CCA) and permutation test indicated that NH 4 + , SO 4 2 - , and wind speed were the key factors that associated with airborne bacterial community structure. Chemical components of particulate matter played more important role in structuring bacterial community than meteorological conditions based on the result of partial CCA. In addition, the annotation of metabolic pathway suggested that the predominant genus Pseudomonas was obviously correlated with disease infections. Several dominant species might contribute to organic degradation, nitrogen cycles, and ice-nuclei activities in environments. Overall, this work enhanced our understanding of functions of airborne bacteria and highlighted their potential role in atmospheric chemical progresses., (Copyright © 2019 Pan, Pan, Xiao and Xiao.)

The involvement of miR-367 in lung cancer development remains unclear. In the present study, we analyzed the expression of miR-367 in tumor and adjacent tissue samples from 113 patients with non-small cell lung cancer (NSCLC) utilizing real-time PCR. miR-367 expression was significantly upregulated in the cancer tissues compared with non-cancer controls. Based on the median value of the miR-367 expression level, we divided the NSCLC patients into miR-367 high-expression and miR-367 low-expression groups. Overexpression of miR-367 was correlated with a poorer prognosis of NSCLC patients Chi-square (χ2) test showed a significant statistical correlation between tumor size, tumor stage, metastasis and miR-367 expression. Additionally, miR-367 expression was found to be negatively correlated with FBXW7 expression. Based on the above correlations, we performed a series of functional experiments to further confirm the effect of miR-367 on NSCLC. Our results indicated that miR-367 may be involved in the development and progression of NSCLC by promoting proliferation and invasion and impeding apoptosis in NSCLC cells. Furthermore, FBXW7 was identified as a potential target of miR-367, and FBXW7 silencing partially compromised the invasive, proliferative and migratory capacities in the cells with low miR-367 expression. Thus, the miR-367/FBXW7 axis may be involved in the development and progression of NSCLC and may be valuable as a therapeutic target for the treatment of human NSCLC, especially cancers with high invasive potential.