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Advances in medicine and technology have increased brachial artery utilization for diagnostic and interventional radiology. Hence, detection and assessment of variations in upper extremity vasculature are important regardless of the low surgical intervention rate in the upper extremity. Anomalies of the upper extremity artery are infrequently reported, and anomalies of the brachial artery are even less common. Presented here is a case of developmental failure of the brachial artery. A segment about 2.1 cm from its origin was treated with bypass surgery. This is presented as an uncommon variation of the brachial artery. [ABSTRACT FROM AUTHOR]

Hypothesis: This study aimed to investigate the correlation between rotator cuff stump classification and postoperative outcomes after superior capsular reconstruction (SCR)., Methods: A total of 75 patients who underwent SCR between June 2013 and May 2021 were included in this study. Based on stump classification using the signal intensity ratio of the tendon rupture site to the deltoid muscle in the coronal view of preoperative T2-weighted, fat-suppressed magnetic resonance imaging scans, the patients were classified into types 1, 2, and 3 with ratios of <0.8, 0.8-1.3, and >1.3 (44, 17, and 14 patients, respectively). The American Shoulder and Elbow Surgeons (ASES), Constant, and visual analog scale (VAS) scores for pain and range of motion were evaluated at a minimum of 1 year of follow-up postoperatively. The acromiohumeral distance and rotator cuff arthropathy according to the Hamada classification were assessed on plain radiography. The graft integrity was evaluated by magnetic resonance imaging at 3 and 12 months postoperatively and annually thereafter., Results: Clinical and radiological outcomes were significantly improved after SCR. In comparison with type 2 and 3 patients, type 1 patients had significantly higher ASES scores (type 1, 2, and 3 = 84 ± 10, 75 ± 15, and 76 ± 14; all P = .014), Constant scores (type 1, 2, and 3 = 65 ± 5, 61 ± 9, and 56 ± 13; all P = .005), and forward flexion (type 1, 2, and 3 = 155 ± 10, 154 ± 15, and 145 ± 13; all P = .013). However, these statistical differences between groups were below the established minimum clinically important difference values for the ASES and Constant scores after rotator cuff repair. The graft failure rate after surgery was lower in the type 1 group than that in the other 2 groups; however, the difference was not statistically significant (P = .749)., Conclusion: Patients with stump classification type 1 showed significantly better functional scores (ASES and VAS scores) and forward flexion; however, the clinical importance of these differences may be limited. Stump classification may be useful for predicting postoperative clinical outcomes., (Copyright © 2024 Journal of Shoulder and Elbow Surgery Board of Trustees. Published by Elsevier Inc. All rights reserved.)

Purpose: To identify independent factors responsible for poor outcomes after a graft tear after arthroscopic superior capsular reconstruction (ASCR)., Methods: Patients who underwent ASCR for massive rotator cuff tears between January 2013 and July 2021were reviewed. On the basis of the achievement of the minimal clinically important differences for clinical outcome measures at the final follow-up, patients were divided into the good outcome (GO) and poor outcome (PO) groups. The minimal clinically important differences were calculated as the value equal to one-half of the standard deviation of the changes in outcome scores between the preoperative baseline and the latest follow-up. Pre- and final follow-up variables included demographics, American Shoulder and Elbow Surgeons score, Constant score, visual analog scale score, and range of motion. Preoperative and postoperative 1-year radiologic variables were analyzed using magnetic resonance imaging, including anteroposterior and mediolateral tear sizes, subscapularis tear, acromiohumeral distance (AHD), and degree of fatty degeneration. Logistic regression analysis was performed to identify the significant predictors of poor outcomes., Results: A total of 33 patients who underwent ASCR presented with graft tears, which were confirmed by postoperative 1-year magnetic resonance imaging, and had a minimum follow-up duration of 2 years after surgery were enrolled. The GO group demonstrated significantly greater improvements in functional outcomes compared with the PO group (American Shoulder and Elbow Surgeons score: 83.5 ± 11.8 vs 64.0 ± 20.4, P = 0.004; Constant: 67.6 ± 5.7 vs 57.1 ± 9.8, P < .001; and visual analog scale score: 0.9 ± 1.2 vs 2.4 ± 2.0, P = .026). The postoperative 1-year AHD showed significant improvement in the GO group (3.1 ± 1.2 vs 6.1 ± 1.4, P < .001) but no change in the PO group (3.4 ± 1.3 vs 4.2 ± 0.9, P = .074) postoperatively. Multivariate logistic regression analysis indicated that a decreased postoperative 1-year AHD (odds ratio, 0.145; P = .019) was associated with a poor outcome after a graft tear., Conclusions: A narrow postoperative 1-year AHD was identified as the most important independent risk factor indicating poor clinical outcomes after a graft tear post-ASCR, which was related to a larger tear and loss of integrity between the grafts and infraspinatus at 1-year postoperatively., Level of Evidence: Level IV, therapeutic case series., (Copyright © 2024 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.)

Background/purpose: Distal radius fractures (DRFs) account for approximately 18% of fractures in patients 65 years and older. While plain radiographs are standard, the value of high-resolution computed tomography (CT) for detailed imaging crucial for diagnosis, prognosis, and intervention planning, and increasingly recognized. High-definition 3D reconstructions from CT scans are vital for applications like 3D printing in orthopedics and for the utility of mobile C-arm CT in orthopedic diagnostics. However, concerns over radiation exposure and suboptimal image resolution from some devices necessitate the exploration of advanced computational techniques for refining CT imaging without compromising safety. Therefore, this study aims to utilize conditional Generative Adversarial Networks (cGAN) to improve the resolution of 3 mm CT images (CT enhancement)., Methods: Following institutional review board approval, 3 mm-1 mm paired CT data from 11 patients with DRFs were collected. cGAN was used to improve the resolution of 3 mm CT images to match that of 1 mm images (CT enhancement). Two distinct methods were employed for training and generating CT images. In Method 1, a 3 mm CT raw image was used as input with the aim of generating a 1 mm CT raw image. Method 2 was designed to emphasize the difference value between the 3 mm and 1 mm images; using a 3 mm CT raw image as input, it produced the difference in image values between the 3 mm and 1 mm CT scans. Both quantitative metrics, such as peak signal-to-noise ratio (PSNR), mean squared error (MSE), and structural similarity index (SSIM), and qualitative assessments by two orthopedic surgeons were used to evaluate image quality by assessing the grade (1~4, which low number means high quality of resolution)., Results: Quantitative evaluations showed that our proposed techniques, particularly emphasizing the difference value in Method 2, consistently outperformed traditional approaches in achieving higher image resolution. In qualitative evaluation by two clinicians, images from method 2 showed better quality of images (grade: method 1, 2.7; method 2, 2.2). And more choice was found in method 2 for similar image with 1 mm slice image (15 vs 7, p = 201)., Conclusion: In our study utilizing cGAN for enhancing CT imaging resolution, the authors found that the method, which focuses on the difference value between 3 mm and 1 mm images (Method 2), consistently outperformed., Competing Interests: NO authors have competing interests., (Copyright: © 2024 Kim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Patients with brain injury often experience accompanying disabilities that can make it challenging for them to use tools or perform complex tests. Therefore, Korean Mini-Mental State Examination (K-MMSE) is widely used in clinical practice as an alternative to the computerized neurocognitive test (CNT) or Wechsler Adult Intelligence Scale tests to assess cognitive function in these individuals. This study aimed to investigate the correlation between the K-MMSE and CNT in brain injury patients to evaluate the and clinical usefulness of K-MMSE. A total of 120 patients were assessed using both tests, and a significant correlation was observed between the total scores of K-MMSE and CNT. The orientation component of K-MMSE was significantly correlated with CNT components, indicating that individuals who perform well on orientation tasks are likely to have better cognitive abilities overall. While K-MMSE has limitations in evaluating specific cognitive domains, it is a useful tool in clinical practice for evaluating cognitive impairment, especially in patients who have difficulty using more complex cognitive tests., Competing Interests: Conflict of Interest: The authors have no potential conflicts of interest to disclose., (Copyright © 2024. Korean Society for Neurorehabilitation.)

Background: Rheum tanguticum root, cataloged as " Daehwang " in the Korean Pharmacopeia, is rich in various anthraquinones known for their anti-inflammatory and antioxidant properties. Formulations containing Daehwang are traditionally employed for treating neurological conditions. This study aimed to substantiate the antiepileptic and neuroprotective efficacy of R. tanguticum root extract (RTE) against trimethyltin (TMT)-induced epileptic seizures and hippocampal neurodegeneration., Methods: The constituents of RTE were identified by ultra-performance liquid chromatography (UPLC). Experimental animals were grouped into the following five categories: control, TMT, and three TMT+RTE groups with dosages of 10, 30, and 100 mg/kg. Seizure severity was assessed daily for comparison between the groups. Brain tissue samples were examined to determine the extent of neurodegeneration and neuroinflammation using histological and molecular biology techniques. Network pharmacology analysis involved extracting herbal targets for Daehwang and disease targets for epilepsy from multiple databases. A protein-protein interaction network was built using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database, and pivotal targets were determined by topological analysis. Enrichment analysis was performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool to elucidate the underlying mechanisms., Results: The RTE formulation was found to contain sennoside A, sennoside B, chrysophanol, emodin, physcion, (+)-catechin, and quercetin-3-O-glucuronoid. RTE effectively inhibited TMT-induced seizures at 10, 30, and 100 mg/kg dosages and attenuated hippocampal neuronal decay and neuroinflammation at 30 and 100 mg/kg dosages. Furthermore, RTE significantly reduced mRNA levels of tumor necrosis factor ( TNF-α ), glial fibrillary acidic protein ( GFAP ), and c-fos in hippocampal tissues. Network analysis revealed TNF, Interleukin-1 beta (IL-1β), Interleukin-6 (IL-6), Protein c-fos (FOS), RAC-alpha serine/threonine-protein kinase (AKT1), and Mammalian target of rapamycin (mTOR) as the core targets. Enrichment analysis demonstrated significant involvement of R. tanguticum components in neurodegeneration ( p = 4.35 × 10-5) and TNF signaling pathway ( p = 9.94 × 10-5)., Conclusions: The in vivo and in silico analyses performed in this study suggests that RTE can potentially modulate TMT-induced epileptic seizures and neurodegeneration. Therefore, R. tanguticum root is a promising herbal treatment option for antiepileptic and neuroprotective applications., Competing Interests: The authors declare no conflict of interest. Changjong Moon is serving as one of the Editorial Board members/Guest editors of this journal. We declare that Changjong Moon had no involvement in the peer review of this article and has no access to information regarding its peer review. Full responsibility for the editorial process for this article was delegated to Jesús Pastor and Gernot Riedel., (© 2024 The Author(s). Published by IMR Press.)

The escalating global threat of infectious diseases, including monkeypox virus (MPXV), necessitates advancements in point-of-care diagnostics, moving beyond the constraints of conventional methods tethered to centralized laboratories. Here, we introduce multiple CRISPR RNA (crRNA)-based biosensors that can directly detect MPXV within 35 minutes without pre-amplification, leveraging the enhanced sensitivity and antifouling attributes of the BSA-based nanocomposite. Multiple crRNAs, strategically targeting diverse regions of the F3L gene of MPXV, are designed and combined to amplify Cas12a activation and its collateral cleavage of reporter probes. Notably, our electrochemical sensors exhibit the detection limit of 669 fM F3L gene without amplification, which is approximately a 15-fold improvement compared to fluorescence detection. This sensor also shows negligible changes in peak current after exposure to complex biological fluids, such as whole blood and serum, maintaining its sensitivity at 682 fM. This sensitivity is nearly identical to the conditions when only the F3L gene was present in PBS. In summary, our CRISPR-based electrochemical biosensors can be utilized as a high-performance diagnostic tool in resource-limited settings, representing a transformative leap forward in point-of-care testing. Beyond infectious diseases, the implications of this technology extend to various molecular diagnostics, establishing itself as a rapid, accurate, and versatile platform for detection of target analytes.

Purpose: This study aimed to evaluate patient-reported outcome measures (PROMs) and the effects of gender and age on achieving clinically significant outcomes in patients undergoing arthroscopic superior capsular reconstruction (ASCR) with a minimum 2-year follow-up., Methods: Patients undergoing ASCR for irreparable rotator cuff tear between 2013 and 2020 were reviewed. Preoperative and minimum 2-year postoperative PROMs were collected, including American Shoulder and Elbow Surgeons (ASES), Constant, single assessment numeric evaluation (SANE), and visual analog scale (VAS) scores. Minimal clinically important difference (MCID) and patient-acceptable symptomatic state (PASS) were calculated for each functional score and analyzed according to age and gender. The percentages of patients achieving MCID and PASS were recorded., Results: The study included 83 patients, with a mean follow-up of 3.5 ± 1.4 years. Significant improvements were found in ASES, Constant, SANE, and VAS for all groups based on gender and age. Based on receiver-operating characteristic curves, all scores had acceptable areas under the curve for PASS. Values for PASS and MCID were 81.5 and 10.3 for ASES; 61.5 and 6.2 for Constant; 82.5 and 11.5 for SANE and 1.5 and 1.1 for VAS, respectively. Analysis of achieving MCID and PASS showed no difference between the groups in the majority of outcome measures. However, female patients achieved the SANE thresholds for PASS at significantly higher rates than male patients. Patients ≥65 years old achieved ASES and Constant thresholds for MCID at significantly higher rates than patients ˂65 years old., Conclusion: Most patients achieved MCID and PASS at a 2-year follow-up. Patients showed comparable rates of MCID and PASS achievement on most outcome tools based on age and gender. Female patients achieved PASS on SANE at significantly higher rates than male patients and older patients achieved MCID on ASES and Constant at higher rates than young patients. Thus, age is a stronger factor for achieving MCID than gender., Level of Evidence: Level II., (© 2024 European Society of Sports Traumatology, Knee Surgery and Arthroscopy.)

Using mass spectrometry (MS)-guided isolation methods, a new thiodiketopiperazine derivative (1) and exserohilone (2) were isolated from an EtOAc-extract of Setosphaeria rostrata culture medium. The chemical structure of the new compound was elucidated by MS and NMR spectroscopy, and the absolute configurations were established by the quantum mechanical calculations of electronic circular dichroism. All isolated compounds were examined for their effects on reactive oxygen species (ROS) production, matrix metalloproteinase 1 (MMP-1) secretion, and procollagen type I α1 secretion in tumor necrosis factor (TNF)-α-induced human dermal fibroblasts. Compound 1 and exserohilone (2) exhibited the inhibition of TNF-α-induced ROS generation and MMP-1 secretion. Additionally, compound 1 and exserohilone (2) increased the procollagen type I α1 secretion. Compound 1 docked computationally into the active site of MMP-1 (-6.0 kcal/mol)., (© 2024. The Author(s), under exclusive licence to the Japan Antibiotics Research Association.)

Purpose: To investigate the time-dependent nature of clinically significant outcomes, including the minimal clinically important difference (MCID), substantial clinical benefit, and Patient Acceptable Symptomatic State (PASS) after arthroscopic superior capsular reconstruction, and the factors contributing to the achievement of early clinically significant outcomes., Methods: Patients who underwent ASCR between March 2015 and September 2020 with complete preoperative and postoperative 6-month, 1-year, and 2-year patient-reported outcome measures (PROMs) were retrospectively analysed. Threshold values for MCID, substantial clinical benefit, and PASS were obtained from the previous literature for the PROMs. The time required to achieve clinically significant outcomes was calculated using Kaplan-Meier analysis. Multivariate Cox regression was performed to evaluate the variables predictive of an earlier or delayed achievement of MCID., Results: Fifty-nine patients with a mean age of 64.5 ± 8.7 years old were included. The time of mean achievement of MCID, substantial clinical benefit, and PASS for VAS was 11.2 ± 0.9, 16.3 ± 1.1, and 16.6 ± 0.9 months, respectively. The time of mean achievement of MCID, substantial clinical benefit, and PASS for ASES was 13.2 ± 1.0, 16.8 ± 1.0, and 18.3 ± 0.9 months, respectively. The time of mean achievement of MCID, substantial clinical benefit, and PASS for the Constant score was 11.6 ± 0.9, 15.1 ± 1.0, and 14.7 ± 0.9 months, respectively. The time of mean achievement of MCID, substantial clinical benefit, and PASS for SANE was 14.4 ± 1.0, 16.1 ± 1.0, and 15.5 ± 0.8 months, respectively. Patients with a higher preoperative VAS score achieved an earlier MCID for VAS (P = 0.014). However, patients with a higher preoperative ASES and SANE scores achieved delayed MCID for ASES and SANE (P = 0.026, and P < 0.001, respectively)., Conclusion: Most patients achieved MCIDs around 1 year after arthroscopic superior capsular reconstruction. A higher preoperative VAS score favours faster MCID achievement, while higher preoperative ASES and SANE scores contribute to delayed MCID achievement., Study Design: Cohort study LEVEL OF EVIDENCE: Level IV., (© 2023. The Author(s) under exclusive licence to European Society of Sports Traumatology, Knee Surgery, Arthroscopy (ESSKA).)

Introduction and Hypothesis: The aim of this study was to assess the incidence and risk factors for premalignant and malignant pathology in patients receiving vaginal hysterectomy (VH) and pelvic floor repair (PFR) for pelvic organ prolapse (POP)., Methods: We performed a retrospective cohort study of pathological results after VH and PFR of 569 women at our institution from January 2011 through December 2020. Age, body mass index (BMI), POP-Q stage, and preoperative ultrasound results were evaluated as risk factors for occult malignancy., Results: Six of the 569 patients (1.1%) had unanticipated premalignant uterine pathology and 2 (0.4%) had unanticipated malignant uterine pathology (endometrial cancer). There was no significant difference in the incidence of premalignant or malignant uterine pathology according to age, BMI, and POP-Q stage. However, if endometrial pathology is confirmed on preoperative ultrasonography, the probability of confirming malignant pathology increases (OR 4.63; 95% CI 1.84-51.4; p=0.016)., Conclusion: The incidence of occult malignancy during VH for POP was significantly lower than that found in hysterectomy owing to benign disease. In the case of POP patients, for whom uterine-conserving surgery is not absolutely contraindicated, it can be performed. However, if endometrial pathology is confirmed by preoperative ultrasonography, uterine-conserving surgery is not recommended., (© 2023. The International Urogynecological Association.)

Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of Radiology held a forum to discuss the challenges and drawbacks in AI development and implementation. Various barriers hinder the successful application and widespread adoption of AI in radiology, such as limited annotated data, data privacy and security, data heterogeneity, imbalanced data, model interpretability, overfitting, and integration with clinical workflows. In this review, some of the various possible solutions to these challenges are presented and discussed; these include training with longitudinal and multimodal datasets, dense training with multitask learning and multimodal learning, self-supervised contrastive learning, various image modifications and syntheses using generative models, explainable AI, causal learning, federated learning with large data models, and digital twins., Competing Interests: Joon Beom Seo and Namkug Kim, editorial board members of the Korean Journal of Radiology, were not involved in the editorial evaluation or decision to publish this article. All authors have declared no conflicts of interest., (Copyright © 2023 The Korean Society of Radiology.)

The hypothalamic-pituitary-adrenal (HPA) and hypothalamic-pituitary-gonadal (HPG) axes have reciprocal relationships with steroidogenesis regulation. However, the relationship between testicular steroids and defective glucocorticoid production under chronic stress remains unclear. Metabolic changes of testicular steroids in bilateral adrenalectomized (bADX) 8-week-old C57BL/6 male mice were measured using gas chromatography-mass spectrometry. Twelve weeks after surgery, testis samples were obtained from the model mice, which were divided into tap-water (n = 12) and 1 % saline (n = 24) supplementation groups, and their testicular steroid levels were compared with those of sham controls (n = 11). An increased survival rate with lower testicular levels of tetrahydro-11-deoxycorticosterone was observed in the 1 % saline group compared to both the tap-water (p = 0.029) and sham (p = 0.062) groups. Testicular corticosterone levels were significantly decreased in both tap-water (4.22 ± 2.73 ng/g, p = 0.015) and 1 % saline (3.70 ± 1.69, p = 0.002) groups compared to those in sham controls (7.41 ± 7.39). Testicular testosterone levels tended to increase in both bADX groups compared to those in the sham controls. In addition, increased metabolic ratios of testosterone to androstenedione in tap-water (2.24 ± 0.44, p < 0.05) and 1 % saline (2.18 ± 0.60, p < 0.05) mice compared to sham controls (1.87 ± 0.55) suggested increased production of testicular testosterone. No significant differences in serum steroid levels were observed. Defective adrenal corticosterone secretion and increased testicular production in bADX models revealed an interactive mechanism underlying chronic stress. The present experimental evidence suggests the crosstalk between the HPA and HPG axes in homeostatic steroidogenesis., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest. The funding agencies had no role in the study design, data collection, analysis, or interpretation., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Objectives: Diagnosis of flatfoot using a radiograph is subject to intra- and inter-observer variabilities. Here, we developed a cascade convolutional neural network (CNN)-based deep learning model (DLM) for an automated angle measurement for flatfoot diagnosis using landmark detection., Methods: We used 1200 weight-bearing lateral foot radiographs from young adult Korean males for the model development. An experienced orthopedic surgeon identified 22 radiographic landmarks and measured three angles for flatfoot diagnosis that served as the ground truth (GT). Another orthopedic surgeon (OS) and a general physician (GP) independently identified the landmarks of the test dataset and measured the angles using the same method. External validation was performed using 100 and 17 radiographs acquired from a tertiary referral center and a public database, respectively., Results: The DLM showed smaller absolute average errors from the GT for the three angle measurements for flatfoot diagnosis compared with both human observers. Under the guidance of the DLM, the average errors of observers OS and GP decreased from 2.35° ± 3.01° to 1.55° ± 2.09° and from 1.99° ± 2.76° to 1.56° ± 2.19°, respectively (both p < 0.001). The total measurement time decreased from 195 to 135 min in observer OS and from 205 to 155 min in observer GP. The absolute average errors of the DLM in the external validation sets were similar or superior to those of human observers in the original test dataset., Conclusions: Our CNN model had significantly better accuracy and reliability than human observers in diagnosing flatfoot, and notably improved the accuracy and reliability of human observers., Key Points: • Development of deep learning model (DLM) that allows automated angle measurements for landmark detection based on 1200 weight-bearing lateral radiographs for diagnosing flatfoot. • Our DLM showed smaller absolute average errors for flatfoot diagnosis compared with two human observers. • Under the guidance of the model, the average errors of two human observers decreased and total measurement time also decreased from 195 to 135 min and from 205 to 155 min., (© 2023. The Author(s), under exclusive licence to European Society of Radiology.)

Recent studies of automatic diagnosis of vertebral compression fractures (VCFs) using deep learning mainly focus on segmentation and vertebral level detection in lumbar spine lateral radiographs (LSLRs). Herein, we developed a model for simultaneous VCF diagnosis and vertebral level detection without using adjacent vertebral bodies. In total, 1102 patients with VCF, 1171 controls were enrolled. The 1865, 208, and 198 LSLRS were divided into training, validation, and test dataset. A ground truth label with a 4-point trapezoidal shape was made based on radiological reports showing normal or VCF at some vertebral level. We applied a modified U-Net architecture, in which decoders were trained to detect VCF and vertebral levels, sharing the same encoder. The multi-task model was significantly better than the single-task model in sensitivity and area under the receiver operating characteristic curve. In the internal dataset, the accuracy, sensitivity, and specificity of fracture detection per patient or vertebral body were 0.929, 0.944, and 0.917 or 0.947, 0.628, and 0.977, respectively. In external validation, those of fracture detection per patient or vertebral body were 0.713, 0.979, and 0.447 or 0.828, 0.936, and 0.820, respectively. The success rates were 96 % and 94 % for vertebral level detection in internal and external validation, respectively. The multi-task-shared encoder was significantly better than the single-task encoder. Furthermore, both fracture and vertebral level detection was good in internal and external validation. Our deep learning model may help radiologists perform real-life medical examinations., Competing Interests: None Declared., (© 2023 The Authors.)

Cigarette smoke (CS) poses a significant risk factor for respiratory, vascular, and organ diseases owing to its high content of harmful chemicals and reactive oxygen species (ROS). These substances are known to induce oxidative stress, inflammation, apoptosis, and senescence due to their exposure to environmental pollutants and the presence of oxidative enzymes. The lung is particularly susceptible to oxidative stress. Persistent oxidative stress caused by chronic exposure to CS can lead to respiratory diseases such as chronic obstructive pulmonary disease (COPD), pulmonary fibrosis (PF), and lung cancer. Avoiding exposure to environmental pollutants, like cigarette smoke and air pollution, can help mitigate oxidative stress. A comprehensive understanding of oxidative stress and its impact on the lungs requires future research. This includes identifying strategies for preventing and treating lung diseases as well as investigating the underlying mechanisms behind oxidative stress. Thus, this review aims to investigate the cellular processes induced by CS, specifically inflammation, apoptosis, senescence, and their associated biomarkers. Furthermore, this review will delve into the alveolar response provoked by CS, emphasizing the roles of potential therapeutic target markers and strategies in inflammation and oxidative stress.

Objective: Conventional computer-aided diagnosis using convolutional neural networks (CNN) has limitations in detecting sensitive changes and determining accurate decision boundaries in spectral and structural diseases such as scoliosis. We devised a new method to detect and diagnose adolescent idiopathic scoliosis in chest X-rays (CXRs) employing the latent space's discriminative ability in the generative adversarial network (GAN) and a simple multi-layer perceptron (MLP) to screen adolescent idiopathic scoliosis CXRs., Materials and Methods: Our model was trained and validated in a two-step manner. First, we trained a GAN using CXRs with various scoliosis severities and utilized the trained network as a feature extractor using the GAN inversion method. Second, we classified each vector from the latent space using a simple MLP., Results: The 2-layer MLP exhibited the best classification in the ablation study. With this model, the area under the receiver operating characteristic (AUROC) curves were 0.850 in the internal and 0.847 in the external datasets. Furthermore, when the sensitivity was fixed at 0.9, the model's specificity was 0.697 in the internal and 0.646 in the external datasets., Conclusion: We developed a classifier for Adolescent idiopathic scoliosis (AIS) through generative representation learning. Our model shows good AUROC under screening chest radiographs in both the internal and external datasets. Our model has learned the spectral severity of AIS, enabling it to generate normal images even when trained solely on scoliosis radiographs., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

In total, four new eudesmane-type sesquiterpene glycosides, askoseosides A-D ( 1 - 4 ), and 18 known compounds ( 5 - 22 ) were isolated from the flowers of Aster koraiensis via chromatographic techniques. Chemical structures of the isolated compounds were identified by spectroscopic/spectrometric methods, including NMR and HRESIMS, and the absolute configuration of the new compounds ( 1 and 2 ) was performed by electronic circular dichroism (ECD) studies. Further, the anticancer activities of the isolated compounds ( 1 - 22 ) were evaluated using the epidermal growth factor (EGF)-induced as well as the 12- O -tetradecanoylphorbol 13-acetate (TPA)-induced cell transformation assay. Among the 22 compounds, compounds 4 , 9 , 11 , 13 - 15 , 17 , 18 , and 22 significantly inhibited both EGF- and TPA-induced colony growth. In particular, askoseoside D ( 4 , EGF: 57.8%; TPA: 67.1%), apigenin ( 9 , EGF: 88.6%; TPA: 80.2%), apigenin-7- O - β -d-glucuronopyranoside ( 14 , EGF: 79.2%; TPA: 70.7%), and 1-(3',4'-dihydroxycinnamoyl) cyclopentane-2,3-diol ( 22 , EGF: 60.0%; TPA: 72.1%) showed higher potent activities., Competing Interests: The authors declare no conflict of interest.

The aim of this study was to discover bioactive constituents of Angelica reflexa that improve glucose-stimulated insulin secretion (GSIS) in pancreatic β-cells. Herein, three new compounds, namely, koseonolin A ( 1 ), koseonolin B ( 2 ), and isohydroxylomatin ( 3 ), along with 28 compounds ( 4 - 31 ) were isolated from the roots of A . reflexa by chromatographic methods. The chemical structures of new compounds ( 1 - 3 ) were elucidated through spectroscopic/spectrometric methods such as NMR and HRESIMS. In particular, the absolute configuration of the new compounds ( 1 and 3 ) was performed by electronic circular dichroism (ECD) studies. The effects of the root extract of A . reflexa (KH2E) and isolated compounds ( 1 - 31 ) on GSIS were detected by GSIS assay, ADP/ATP ratio assay, and Western blot assay. We observed that KH2E enhanced GSIS. Among the compounds 1 - 31 , isohydroxylomatin ( 3 ), (-)-marmesin ( 17 ), and marmesinin ( 19 ) increased GSIS. In particular, marmesinin ( 19 ) was the most effective; this effect was superior to treatment with gliclazide. GSI values were: 13.21 ± 0.12 and 7.02 ± 0.32 for marmesinin ( 19 ) and gliclazide at a same concentration of 10 μM, respectively. Gliclazide is often performed in patients with type 2 diabetes (T2D). KH2E and marmesinin ( 19 ) enhanced the protein expressions associated with pancreatic β-cell metabolism such as peroxisome proliferator-activated receptor γ, pancreatic and duodenal homeobox 1, and insulin receptor substrate-2. The effect of marmesinin ( 19 ) on GSIS was improved by an L-type Ca 2+ channel agonist and K+ channel blocker and was inhibited by an L-type Ca 2+ channel blocker and K + channel activator. Marmesinin ( 19 ) may improve hyperglycemia by enhancing GSIS in pancreatic β-cells. Thus, marmesinin ( 19 ) may have potential use in developing novel anti-T2D therapy. These findings promote the potential application of marmesinin ( 19 ) toward the management of hyperglycemia in T2D.

Ethnopharmacological Relevance: Patients with dementia are diagnosed with deficiency patterns and interior patterns in traditional Chinese medicine due to decreased physical strength, mental atrophy including cognitive function, and decreased motor function in the gastrointestinal tract. Since "greater yin symptom" in Shanghanlun has been interpreted as interior, deficiency, and cold pattern in traditional Chinese medicine, it is necessary to determine whether Geijigadaehwang-tang (GDT) has therapeutic effects on neurodegenerative diseases and the underlying mechanism if it has such effects., Aims of the Study: Trimethyltin (TMT), a neurotoxic organotin compound, has been used to induce several neurodegenerative diseases, including epilepsy and Alzheimer's disease. This study aimed to evaluate the therapeutic efficacy of GDT for TMT-induced hippocampal neurodegeneration and seizures and to determine the mechanisms involved at the molecular level., Materials and Methods: The main components of GDT were analyzed using ultra-performance liquid chromatography. TMT was used to induce neurotoxicity in microglial BV-2 cells and C57BL6 mice. GDT was administered at various doses to determine its neuroprotective and seizure inhibition effects. The inhibitory effects of GDT on TMT-induced apoptosis, inflammatory pathways, and oxidative stress pathways were determined in the mouse hippocampal tissues., Results: GDT contained emodin, chrysophanol, albiflorin, paeoniflorin, 6-gingerol, and liquiritin apioside. In microglial BV-2 cells treated with TMT, GDT showed dose-dependent neuroprotective effects. Oral administration of GDT five times for 2.5 days before and after TMT injection inhibited seizures at doses of 180 and 540 mg/kg and inhibited neuronal death in the hippocampus. In hippocampal tissues extracted from mice, GDT inhibited the protein expression of ionized calcium binding adaptor molecule 1, glial fibrillary acidic protein, nucleotide-binding oligomerization domain-like receptor family pyrin domain-containing protein 3, and phosphorylated nuclear factor (NF)-κB/total-NFκB ratio. Additionally, GDT inhibited the messenger RNA levels of tumor necrosis factor-α, inducible nitric oxide synthase, apoptosis-associated speck-like protein containing a caspase recruitment domain, caspase-1, interleukin-1β, nuclear factor erythroid-2-related factor 2, and heme oxygenase-1., Conclusion: This study's results imply that GDT might have neuroprotective potential in neurodegenerative diseases through neuronal death inhibition and anti-inflammatory and antioxidant mechanisms., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Landmark detection in flatfoot radiographs is crucial in analyzing foot deformity. Here, we evaluated the accuracy and efficiency of the automated identification of flatfoot landmarks using a newly developed cascade convolutional neural network (CNN) algorithm, Flatfoot Landmarks AnnoTating Network (FlatNet). A total of 1200 consecutive weight-bearing lateral radiographs of the foot were acquired. The first 1050 radiographs were used as the training and tuning, and the following 150 radiographs were used as the test sets, respectively. An expert orthopedic surgeon (A) manually labeled ground truths for twenty-five anatomical landmarks. Two orthopedic surgeons (A and B, each with eight years of clinical experience) and a general physician (GP) independently identified the landmarks of the test sets using the same method. After two weeks, observers B and GP independently identified the landmarks once again using the developed deep learning CNN model (DLm). The X- and Y-coordinates and the mean absolute distance were evaluated. The average differences (mm) from the ground truth were 0.60 ± 0.57, 1.37 ± 1.28, and 1.05 ± 1.23 for the X-coordinate, and 0.46 ± 0.59, 0.97 ± 0.98, and 0.73 ± 0.90 for the Y-coordinate in DLm, B, and GP, respectively. The average differences (mm) from the ground truth were 0.84 ± 0.73, 1.90 ± 1.34, and 1.42 ± 1.40 for the absolute distance in DLm, B, and GP, respectively. Under the guidance of the DLm, the overall differences (mm) from the ground truth were enhanced to 0.87 ± 1.21, 0.69 ± 0.74, and 1.24 ± 1.31 for the X-coordinate, Y-coordinate, and absolute distance, respectively, for observer B. The differences were also enhanced to 0.74 ± 0.73, 0.57 ± 0.63, and 1.04 ± 0.85 for observer GP. The newly developed FlatNet exhibited better accuracy and reliability than the observers. Furthermore, under the FlatNet guidance, the accuracy and reliability of the human observers generally improved., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Flatfoot causes significant fatigue and pain while walking, and even asymptomatic flatfoot may increase the risk of metatarsal stress fracture during long-distance walking. While most studies have used physical examination or plantar footprints to diagnose flatfoot, a weight-bearing radiograph of the foot provides more objective data. However, data on the prevalence of flatfoot in Asian populations gathered in a nationwide cohort of a specific age group is lacking. We examined the prevalence of flatfoot among 19-year-old male Korean army recruits using a weight-bearing lateral radiograph and evaluated the correlation among flatfoot angles. A total of 560,141 19-year-old Korean males were examined at the regional Military Manpower Administration offices between April 2018 and April 2020. Weight-bearing lateral radiographs of the foot were obtained using an X-ray system while the subjects were standing on a table with their feet in a neutral position. Based on these radiographs, military orthopedic surgeons and radiologists measured the talo-first metatarsal angle (TMA) and calcaneal pitch angle (CPA) for flatfoot diagnosis. Mild flatfoot was diagnosed when the TMA ranged from 6 to 15° or the CPA was <17°, and moderate-to-severe flatfoot was diagnosed when the TMA was 15° or greater or the CPA was <10°. Pearson correlation coefficients and scatter plot matrix were used to evaluate the correlation among the flatfoot angles. Finally, we evaluated the relationship between body mass index (BMI) and flatfoot angles and compared the BMI in subjects with or without self-checked foot deformities including flatfoot and pes cavus. Of the 560,141 subjects, 16,102 (2.9%) were diagnosed as flatfoot, and 5265 (0.9%) were diagnosed with moderate-to-severe flatfoot. The coefficients between TMA and CPA ranged from 0.342 to 0.449 (all P values < 0.001), and those between the 2 sides of TMA and CPA were 0.709 and 0.746 (all P values < 0.001), respectively. BMI had a significant correlation with both TMA and CPA in subjects with flatfoot, and those with self-checked foot deformities had a significantly higher BMI than the group without foot deformities. The prevalence of total flatfoot and moderate-to-severe flatfoot in 19-year-old Korean males based on a weight-bearing lateral radiograph was 2.9% and 0.9%, respectively. The correlation coefficients between TMAs and CPAs showed a low degree of positive correlation. Higher BMI was associated with the likelihood of the presence of flatfoot., Competing Interests: Disclosure: All authors have no potential conflicts of interest., (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)

Robust labeling for semantic segmentation in radiographs is labor-intensive. No study has evaluated flatfoot-related deformities using semantic segmentation with U-Net on weight-bearing lateral radiographs. Here, we evaluated the robustness, accuracy enhancement, and efficiency of automated measurements for flatfoot-related angles using semantic segmentation in an active learning manner. A total of 300 consecutive weight-bearing lateral radiographs of the foot were acquired. The first 100 radiographs were used as the test set, and the following 200 radiographs were used as the training and validation sets, respectively. An expert orthopedic surgeon manually labeled ground truths. U-Net was used for model training. The Dice similarity coefficient (DSC) and Hausdorff distance (HD) were used to evaluate the segmentation results. In addition, angle measurement errors with a minimum moment of inertia (MMI) and ellipsoidal fitting (EF) based on the segmentation results were compared between active learning and learning with a pooled dataset. The mean values of DSC, HD, MMI, and EF of the average of all bones were 0.967, 1.274 mm, 0.792°, and 1.147° in active learning, and 0.964, 1.292 mm, 0.828°, and 1.186° in learning with a pooled dataset, respectively. The mean DSC and HD were significantly better in active learning than in learning with a pooled dataset. Labeling of all bones required 0.82 min in active learning and 0.88 min in learning with a pooled dataset. The accuracy and angle errors generally converged in both learning. However, the accuracies based on DSC and HD were significantly better in active learning. Moreover, active learning took less time for labeling, suggesting that active learning could be an accurate and efficient learning strategy for developing flatfoot classifiers based on semantic segmentation., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Ethnopharmacological Relevance: Gekko gecko is used as a traditional medicine for various diseases including respiratory disorders in northeast Asian countries, mainly Korea, Japan, and China., Aim of the Study: Allergic asthma is a chronic respiratory disease caused by an inappropriate immune response. Due to the recent spread of coronavirus disease 2019, interest in the treatment of pulmonary disorders has rapidly increased. In this study, we investigated the anti-asthmatic effects of G. gecko extract (GGE) using an established mouse model of ovalbumin-induced asthma., Materials and Methods: To evaluate the anti-asthmatic effects of GGE, we evaluated histological changes and the responses of inflammatory mediators related to allergic airway inflammation. Furthermore, we investigated the regulatory effects of GGE on type 2 helper T (Th2) cell activation., Results: Administration of GGE attenuated asthmatic phenotypes, including inflammatory cell infiltration, mucus production, and expression of Th2 cytokines. Furthermore, GGE treatment reduced Th2 cell activation and differentiation., Conclusions: These results indicate that GGE alleviates allergic airway inflammation by regulating Th2 cell activation and differentiation., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)

In the search for new natural resources showing plant disease control effects, we found that the methanol extract of Polyalthia longifolia suppressed fungal disease development in plants. To identify the bioactive substances, the methanol extract of P. longifolia was extracted by organic solvents, and consequently, four new 2-oxo-clerodane diterpenes ( 1-4 ), a new 4(3 → 2)- abeo -clerodane diterpene ( 5 ), together with ten known compounds ( 6-16 ) were isolated and identified from the extracts. Of the new compounds, compound 2 showed a broad spectrum of antifungal activity with moderated minimum inhibitory concentration (MIC) values in a range of 50-100 μg/mL against tested fungal pathogens. Considering with the known compounds, compound 6 showed the most potent antifungal activity with an MIC value in the range of 6.3-12.5 μg/mL. When compound 6 was evaluated for an in vivo antifungal activity against rice blast, tomato late blight, and pepper anthracnose, compound 6 reduced the plant disease by at least 60% compared to the untreated control at concentrations of 250 and 500 μg/mL. Together, our results suggested that the methanol extract of twigs and leaves of P. longifolia and its major compound 6 could be used as a source for the development of eco-friendly plant protection agents.

Eight new naphtho[1,2-c]furan derivatives (1-8) along with six known analogues (9-14) were isolated from culture medium of the basidiomycete Basidioradulum radula. The structures of these compounds were identified using spectroscopic analysis, and their absolute configurations were resolved using X-ray diffraction, ECD, and VCD. Compounds 7 and 14 inhibited the cell viability of human prostate cancer DU-145 cells with IC 50 values of 7.54 ± 0.03 μM and 5.04 ± 0.03 μM, respectively. At 8 μM, compounds 7 and 14 increased the percentage of apoptotic cells and upregulated the protein expression related to the apoptosis caspase pathways in DU-145 cells. Furthermore, the hallmarks of cells undergoing apoptosis, such as chromatin condensation, were also observed at this concentration. However, compound 7 and 14 showed no effect on the proliferation of splenocytes isolated from cyclophosphamide-induce immunosuppressed mice., (Copyright © 2021 Elsevier Inc. All rights reserved.)

The consumption of sprouts has been steadily increasing due to their being an excellent source of nutrition. It is known that the bioactive constituents of legumes can be increased after germination. In this study, the extract from Senna tora sprouts is shown to exhibit improved radical scavenging activities and better neuroprotective effects in HT22 hippocampal neuronal (HT22) and R28 retina precursor (R28) cells than those from seeds due to an increased content of phenolic constituents, especially compounds 1 and 3-6. A phytochemical investigation of S. tora sprouts resulted in the isolation of two new naphthopyrone glycosides (1-2) with 27 previously reported compounds. Their structures were determined via interpreting spectroscopic data. Compounds 1 and 3-6 were found to possess radical scavenging activities and neuroprotective effects against oxidative stress in both neuronal cells. Hence, Senna tora sprouts and their constituents may be developed as natural neuroprotective agents via antioxidative effects., (Copyright © 2021. Published by Elsevier Inc.)

Inflammation is a vital process that maintains tissue homeostasis. However, it is widely known that uncontrolled inflammation can contribute to the development of various diseases. This study aimed to discover anti-inflammatory metabolites from Penicillium bialowiezense. Seven spiroditerpenoids, including two new compounds, breviones P and Q (1 and 2), were isolated and characterized by various spectroscopic and spectrometric methods. All isolated compounds were initially tested for their inhibitory effects against lipopolysaccharide-induced nitric oxide (NO) production in RAW 264.7 macrophages. Of these, brevione A (3) exhibited this activity with a half-maximal inhibitory concentration value of 9.5 μM. Further mechanistic studies demonstrated that 3 could suppress the expression of pro-inflammatory cytokines and mediators, such as NO, prostaglandin E 2 , interleukin (IL)-1β, tumor necrosis factor-α, IL-6, and IL-12 by inhibiting the activation of nuclear factor-kappa B and c-Jun N-terminal kinase., (Copyright © 2021 Elsevier Inc. All rights reserved.)

As a traditional medicine with potential antioxidant effects, Tenodera angustipennis egg cases (Mantidis ootheca) are a potential source of new bioactive substances. Herein, three new N -acetyldopamine derivatives, namely, (+)-tenoderin A ( 1a ), (-)-tenoderin A ( 1b ), and tenoderin B ( 2 ), along with thirteen known compounds ( 3 - 15 ), were isolated from a 70% EtOH extract of T . angustipennis egg cases. Compound 1 was isolated as a racemic mixture, and two enantiomers ( 1a and 1b ) were successfully separated by chiral-phase preparative HPLC. The chemical structures of the new compounds were established by NMR spectroscopy and high-resolution electrospray ionization mass spectrometry, and the absolute configurations of enantiomers 1a and 1b were determined by electronic circular dichroism spectroscopy. All the new compounds exhibited antioxidant activities with IC 50 values of 19.45-81.98 μM, as evaluated using free-radical scavenging assays, with the highest activity observed for compound 2 . In addition, compounds 1a , 1b , and 2 exhibited inhibitory activities on intracellular reactive oxygen species generation.

Atopic dermatitis (AD) is a multifactorial inflammatory skin disease of complex etiology. Despite its increasing prevalence, treatment for AD is still limited. Crude drugs, including herbal extracts or natural resources, are being used to treat AD symptoms, with minimum side effects. Cicadidae Periostracum (CP), derived from the slough of insects belonging to the family Cicadidae, is a commonly used crude drug in traditional Asian medicine to treat/control epilepsy, shock, and edema. However, the effect of CP on AD-like skin lesions is unknown. In this study, we examined the effect of a CP water extract on AD disease development in vivo , using a house dust mite-induced AD mouse model, and in vitro , using HaCaT keratinocytes and a 3D human skin equivalent system. Importantly, CP administration alleviated house dust mite-induced AD-like symptoms, suggested by the quantified dermatitis scores, animal scratching behaviors, skin moisture retention capacity, and skin lesion and ear thickness. Furthermore, histopathological analysis demonstrated that CP decreased intralesional mast cell infiltration. In addition, CP treatments decreased the systemic levels of immunoglobulin E, histamine, and thymic stromal lymphopoietin (TSLP) and the local mRNA expression of TSLP and several Th1/Th2 cytokines. Our data suggest that these effects were mediated by the inhibition of nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3) inflammasome activation. In vivo and in vitro CP treatments resulted in the downregulation of inflammasome components, such as ASC and cleaved caspase-1, as well as related mediators such as IL-1 β and reactive oxygen species. Collectively, our results suggest that CP is a potential therapeutic agent for AD, controlling inflammatory responses through the suppression of NLRP3 inflammasome activation., Competing Interests: The authors declare no conflicts of interests., (Copyright © 2021 Gunhyuk Park et al.)

Licorice and dried ginger decoction (Gancao-ganjiang-tang, LGD) is used for nausea and anorexia, accompanied by excessive sweating in Traditional Chinese Medicine. Herein, we investigated the therapeutic effects of LGD using the activity-based anorexia (ABA) in a mouse model. Six-week-old female BALB/c AnNCrl mice were orally administered LGD, water, licorice decoction, dried ginger decoction, or chronic olanzapine, and their survival, body weight, food intake, and wheel activity were compared in ABA. Additionally, dopamine concentration in brain tissues was evaluated. LGD significantly reduced the number of ABA mice reaching the drop-out criterion of fatal body weight loss. However, LGD showed no significant effects on food intake and wheel activity. We found that in the LGD group the rise of the light phase activity rate inhibited body weight loss. Licorice or dried ginger alone did not improve survival rates, they only showed longer survival periods than chronic olanzapine when combined. In addition, LGD increased the dopamine concentration in the brain. The results from the present study showed that LGD improves the survival of ABA mice and its mechanism of action might be related to the alteration of dopamine concentration in the brain., 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 © 2020 Kim, Kim, Kim, Jeong, Son, Park, Jo, Ryu, Kim, Lee and Lee.)

Introduction: Be it as a nicotine replacement or a fashionable seduction for young people or casual smokers with or without nicotine additives - the popularity of e-cigarettes in Europe has increased during the past decade. In addition to the potential of long-term pulmonary damage, which is still largely unknown to date, there is a risk of battery explosion with specific injury patterns. Most users are unaware of the danger in their pockets., Material and Methods: Between February and July 2019, four patients were treated with burns from exploded e-cigarettes in the burn centre at Sana Hospital in Offenbach am Main (Germany). This article describes the cause and extent of the injury and its treatment., Results: In all patients, the cause of the explosion was what is called "thermal runaway" (very rapid discharge of the battery). The average age of the patients, who were exclusively male, was 37 (25-50) years. The combustion depth ranged from grade I to deep grade IIb. The burnt body surface averaged 3 % (0.5-4.5 %) TBSA and affected the body regions that are typically in direct contact with the e-cigarette: thighs, genitals and hands. Conservative treatment was successful in one case and surgical treatment in two cases (two alloplastic covers, one meshed split-skin transplant). One patient discharged himself from hospital against medical advice after initial treatment. The average time in hospital for the three remaining patients was 15.6 days (6-17)., Conclusion: Burns from an exploding e-cigarette represent a rare new entity. The force of the explosion of the battery body leads to injury patterns that require treatment in specialised centres with the entire spectrum of burn care. Mixed injuries with deep burns occur at the predilection sites due to thermal action, colliquative necrosis due to leaking electrolyte fluid and contamination by foreign bodies (metallic lithium, splinters of the destroyed housing) and require special initial measures. The extinction of fire caused by e-cigarettes also requires special measures. Proper handling of CE-certified devices is essential. Manipulation of the device in the event of defective functions or defective batteries is highly dangerous and should be strictly prohibited. General security requirements must be observed., Competing Interests: Die Autorinnen/Autoren geben an, dass kein Interessenkonflikt besteht., (Thieme. All rights reserved.)

A new phenolic glucoside, (7 E ,9 E )-3-hydroxyavenalumic acid-3- O -[6'- O -( E )-caffeoyl]-β-d-glucopyranoside ( 1 ), and three new acetylated flavone glycosides, acacetin-7- O -[β-d-glucopyranosyl(1″″→2″)-4‴- O -acetyl-α-l-rhamnopyranosyl(1‴→6″)]-β-d-glucopyranoside ( 3 ), acacetin-7- O -[6″″- O -acetyl - β-d-glucopyranosyl(1″″→2″)-3‴- O -acetyl-α-l-rhamnopyranosyl(1‴→6″)]-β-d-glucopyranoside ( 5 ), and acacetin-7- O -[3″″,6″″-di- O -acetyl - β-d-glucopyranosyl(1″″→2″)-4‴- O -acetyl-α-l-rhamnopyranosyl(1‴→6″)]-β-d-glucopyranoside ( 7 ), as well as 34 known compounds ( 2 , 4 , 6 , and 8 - 38 ) were isolated from the aerial parts of Elsholtzia ciliata . The chemical structures of the new compounds were determined by spectroscopic/spectrometric data interpretation using NMR and HRESIMS. The neuroprotective effect of the isolated compounds was evaluated by a cell viability assay on HT22 murine hippocampal neuronal cells. Among them, 23 compounds, including new substances 1 and 3 , exhibited neuroprotective effects against glutamate-induced HT22 cell death. In particular, compounds 2 , 16 , 17 , 20 , 22 , 28 , 29 , and 31 presented potent neuroprotective effects with EC 50 values of 1.5-8.3 μM.