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Speckle noise in ultrasound images (UIs) significantly reduces the accuracy of disease diagnosis. The aim of this study was to quantitatively evaluate its feasibility in salivary gland ultrasound imaging by modeling the adaptive non-local means (NLM) algorithm. UIs were obtained using an open-source device provided by SonoSkills and FUJIFILM Healthcare Europe. The adaptive NLM algorithm automates optimization by modeling the isotropic search window, eliminating the need for manual configuration in conventional NLM methods. The coefficient of variation (COV), contrast-to-noise ratio (CNR), and edge rise distance (ERD) were used as quantitative evaluation parameters. UIs of the salivary glands revealed evident visualization of the internal echo shape of the malignant tumor and calcification line using the adaptive NLM algorithm. Improved COV and CNR results (approximately 4.62 and 2.15 times, respectively) compared with noisy images were achieved. Additionally, when the adaptive NLM algorithm was applied to the UIs of patients with salivary gland sialolithiasis, the noisy images and ERD values were calculated almost similarly. In conclusion, this study demonstrated the applicability of the adaptive NLM algorithm in optimizing search window parameters for salivary gland UIs.
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ABSTRACT: Background: Sepsis accounts for substantial morbidity and mortality motivating investigators to continue the search for pathways and molecules driving the pathogenesis of the disease. The current study examined if the novel C-type lectin receptor (CLR), Clec2d, plays a significant role in the pathogenesis of sepsis. Methods: Clec2d knockout (KO) mice were fully backcrossed onto the C57/BL6 background. Acute endotoxemia was induced with an intraperitoneal injection of lipopolysaccharide (LPS). Sepsis was induced in two different models, cecal ligation and puncture (CLP) and Pseudomonas aeruginosa pneumonia. Both models were treated with antibiotics and fluid resuscitation. In the sepsis models, physiologic and hematologic measurements were measured at 24 h by collecting a small sample of peripheral blood. Mortality was followed for 14 days. Results : A total of 197 mice were studied, 58 wild type (WT) and 54 knock-out (KO) in the LPS model; 27 wild type and 21 KO mice in the CLP model; and 22 WT and 15 KO mice in the pneumonia model. Clec2d KO mice had greater mortality in the LPS and CLP studies but not the pneumonia model. There were significant differences in multiple parameters determined 24 h post sepsis between mice who subsequently died and those lived. Consistent with previous reports in the CLP model, higher concentrations of IL-6, increased numbers of peripheral blood lymphocytes and greater renal injury were found in the dying mice. In contrast, in the pneumonia model, IL-6 was higher in the surviving mice; however, the IL-6 levels in the pneumonia model (0.6 ± 0.3 ng/mL mean ± SEM) were less than 2% of the IL-6 levels of mice that died in the CLP model (41 ± 9 ng/mL, mean ± SEM). There were no differences in the lymphocyte count or renal injury between living and dying mice in the pneumonia model. In both sepsis models, dying mice had lower heart rates, respiratory rates, and body temperatures. These values were also lower in the KO mice compared to the WT in CLP, but the breath rate and body temperature were increased in the KO pneumonia mice. Conclusion: The C-type lectin receptor Clec2d plays a complicated role in the pathogenesis of sepsis, which varies with source of infection as demonstrated in the models used to study the disease. These data highlight the heterogeneity of the responses to sepsis and provide further evidence that a single common pathway driving sepsis organ injury and death likely does not exist.
Subject(s)
Inflammation , Lectins, C-Type , Mice, Inbred C57BL , Mice, Knockout , Peritonitis , Sepsis , Animals , Lectins, C-Type/genetics , Lectins, C-Type/metabolism , Mice , Peritonitis/microbiology , Lipopolysaccharides/toxicity , Male , Disease Models, Animal , Interleukin-6/bloodABSTRACT
This study aimed to investigate the ecological system factors that influence discrimination of sarcopenia among older individuals living in contemporary society. Data analysis included information from 618 older adults individuals aged 65 years or older residing in South Korea. To assess variations in ecological system factors related to SARC-F scores, we conducted correlation analysis and t-tests. Discriminant analysis was used to identify factors contributing to group discrimination. The key findings are summarized as follows. First, significant differences at the p < 0.001 level were observed between the SARC-F score groups in various aspects, including attitudes toward life, wisdom in life, health management, social support, media availability, sports environment, collectivist values, and values associated with death. Further, service environment differences were significant at p < 0.01 level, while social belonging and social activities exhibited significance at p < 0.05. Second, factors influencing group discrimination based on the SARC-F scores were ranked in the following order: health management, attitudes toward life, fear of own death, wisdom in life, physical environment, sports environment, media availability, social support, fear of the own dying, collectivist values, service environment, social activities, and social belonging. Notably, the SARC-F tool, which is used for sarcopenia discrimination, primarily concentrates on physical functioning and demonstrates relatively low sensitivity. Therefore, to enhance the precision of sarcopenia discrimination within a score-based group discrimination process, it is imperative to incorporate ecological system factors that exert a significant influence. These modifications aimed to enhance the clarity and precision of the text in an academic context.
Subject(s)
Sarcopenia , Humans , Republic of Korea , Aged , Male , Female , Discriminant Analysis , Aged, 80 and over , Surveys and Questionnaires , Social SupportABSTRACT
Introduction: Prohibitin (PHB) is an essential scaffold protein that modulates signaling pathways controlling cell survival, metabolism, inflammation, and bone formation. However, its specific role in periodontium development remains less understood. This study aims to elucidate the expression pattern and function of PHB in periodontium development and its involvement in alveolar bone formation. Methods: Immunolocalization of PHB in the periodontium of postnatal (PN) mice were examined. Phb morpholino was micro-injected into the right-side mandible at PN5, corresponding to the position where the alveolar bone process forms in relation to the lower first molar. The micro-injection with a scramble control (PF-127) and the left-side mandibles were used as control groups. Five days post-micro-injection, immunohistochemical analysis and micro-CT evaluation were conducted to assess bone mass and morphological changes. Additionally, expression patterns of signaling molecules were examined following Phb downregulation using 24-h in vitro cultivation of developing dental mesenchyme at E14.5. Results: The immunostaining of PHB showed its localization in the periodontium at PN5, PN8, and PN10. The in vitro cultivation of dental mesenchyme resulted in alterations in Bmps, Runx2, and Wnt signalings after Phb knock-down. At 5 days post-micro-injection, Phb knocking down showed weak immunolocalizations of runt-related transcription factor (RUNX2) and osteocalcin (OCN). However, knocking down Phb led to histological alterations characterized by decreased bone mass and stronger localizations of Ki67 and PERIOSTIN in the periodontium compared 1 to control groups. The micro-CT evaluation showed decreased bone volume and increased PDL space in the Phb knock-down specimens, suggesting its regulatory role in bone formation. Discussion: The region-specific localization of PHB in the margin where alveolar bone forms suggests its involvement in alveolar bone formation and the differentiation of the periodontal ligament. Overall, our findings suggest that Phb plays a modulatory role in alveolar bone formation by harmoniously regulating bone-forming-related signaling molecules during periodontium development.
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BACKGROUND: The skeletal muscle changes as aging progresses, causing sarcopenia in the older adult population, which affects the respiratory muscles' mass, strength, and function. The optimal cut-off point of peak expiratory flow rate (PEFR) for respiratory sarcopenia (RS) diagnosis in accordance with sarcopenia identification is needed. AIM: To establish an optimal cut-off point of PEFR for RS diagnosis in community-dwelling Asian older women. METHODS: Sarcopenia diagnostic indicators were evaluated according to the Asian Working Group for Sarcopenia 2019 (AWGS) criteria. The respiratory parameters composed of respiratory muscle strength and respiratory function were evaluated by assessing maximal inspiratory pressure (MIP), percent predicted forced vital capacity (Pred FVC), and PEFR. RESULTS: A total of 325 community-dwelling older women were included in this study. PEFR was negatively associated with RS (OR: 0.440; 95% CI: 0.344-0.564). The area under the curve (AUC) of PEFR was 0.772 (p < 0.001). The optimal cut-off point of PEFR for RS diagnosis was 3.4 l/s (sensitivity, 63.8%; specificity, 77.3%). Significant differences were found between the robust, possible sarcopenia, sarcopenia, and RS groups in terms of both sarcopenia diagnostic indicators and respiratory parameters (p < 0.05). CONCLUSIONS: The cut-off point of PEFR can be used as a reasonable standard for RS diagnosis. This study finding can serve as a cornerstone for developing concrete criteria of RS in older women, supporting clinical judgment, which is crucial for providing appropriate treatment through accurate diagnosis.
Subject(s)
Sarcopenia , Humans , Sarcopenia/diagnosis , Sarcopenia/physiopathology , Female , Aged , Peak Expiratory Flow Rate , Respiratory Muscles/physiopathology , Aged, 80 and over , Middle Aged , Independent Living , Muscle Strength/physiologyABSTRACT
Background: Jones fractures are common injuries that can be treated conservatively or surgically. However, the optimal treatment approach remains controversial. This study aimed to compare the clinical outcomes of conservative and operative treatments for Jones fractures and determine whether surgical treatment is necessary. Methods: A retrospective study was conducted on 69 patients with Jones fractures treated at our hospital. The patients were divided into 2 groups: conservative (C group; n = 46) and operative (O group; n = 23) treatments. Patients were followed up after 2, 6, and 12 weeks, and every 3 months thereafter. However, outpatient follow-ups were conducted between 8 and 10 weeks as needed. The mean follow-up period was 14.5 weeks (range, 12-24 weeks). In group C, the patients were treated with a non-weight-bearing cast for 4-6 weeks, followed by additional weight-bearing boot immobilization before returning to exercise. In group O, patients were treated surgically using a bicortical screw or intramedullary internal fixation. Time to radiologic union, clinical union, return to sports, visual analog scale (VAS), Foot Function Index-Revised Short Form (FFI-RS), and American Orthopedic Foot and Ankle Society (AOFAS) scores were evaluated. Results: Sixty-nine patients were included in the analysis. There were statistically significant differences in the time to radiologic union and return to sports, VAS score in the second week, and FFI-RS score in the 12th week. In group C, favorable outcomes were observed in terms of the time to return to sports, VAS score in the second week, and FFI-RS score in the 12th week. Contrastingly, in group O, better results were observed in time to radiologic union. The AOFAS score was excellent at the final follow-up, with no significant differences between groups. Complication rates were 10.8% and 13% in groups C and O, respectively. Conclusions: Surgical treatment is sometimes necessary for Jones fractures, but conservative treatment should also be considered because of the favorable outcomes. Conservative treatment can be a good option for patients who are risk-averse and place a high value on fracture healing without surgery.
Subject(s)
Fractures, Bone , Metatarsal Bones , Humans , Retrospective Studies , Treatment Outcome , Metatarsal Bones/surgery , Fractures, Bone/diagnostic imaging , Fractures, Bone/surgery , Fracture Fixation, Internal/methodsABSTRACT
Social norms can be studied at both the individual and societal levels. While the influence of individual perceived norms on health behaviors has been well-documented, the role of societal-level factors in social normative influence remains unclear. We adopted a multilevel approach to investigate the impact of individual-level perceived norms, country-level collective norms, and individualistic culture on mask-wearing behavior during the COVID-19 pandemic. A secondary analysis of cross-sectional data collected from 23 countries (N = 450,223) was conducted. The findings reveal that perceived descriptive norms, perceived injunctive norms, and collective norms conjointly influenced mask-wearing behavior. Positive relationships between perceived descriptive and injunctive norms and mask wearing were stronger in countries with a higher collective norm. Furthermore, positive relationships between norms (i.e., perceived descriptive norms, perceived injunctive norms, and collective norms) and mask wearing were stronger in countries with a more individualistic culture. The study provides evidence for theorizing social normative influence beyond the individual level and underscores the importance of incorporating multilevel factors in social norm research.
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Porcine reproductive and respiratory syndrome virus (PRRSV) is known to suppress the type I interferon (IFNs-α/ß) response during infection. PRRSV also activates the NF-κB signaling pathway, leading to the production of proinflammatory cytokines during infection. In swine farms, co-infections of PRRSV and other secondary bacterial pathogens are common and exacerbate the production of proinflammatory cytokines, contributing to the porcine respiratory disease complex (PRDC) which is clinically a severe disease. Previous studies identified the non-structural protein 1ß (nsp1ß) of PRRSV-2 as an IFN antagonist and the nucleocapsid (N) protein as the NF-κB activator. Further studies showed the leucine at position 126 (L126) of nsp1ß as the essential residue for IFN suppression and the region spanning the nuclear localization signal (NLS) of N as the NF-κB activation domain. In the present study, we generated a double-mutant PRRSV-2 that contained the L126A mutation in the nsp1ß gene and the NLS mutation (ΔNLS) in the N gene using reverse genetics. The immunological phenotype of this mutant PRRSV-2 was examined in porcine alveolar macrophages (PAMs) in vitro and in young pigs in vivo. In PAMs, the double-mutant virus did not suppress IFN-ß expression but decreased the NF-κB-dependent inflammatory cytokine productions compared to those for wild-type PRRSV-2. Co-infection of PAMs with the mutant PRRSV-2 and Streptococcus suis (S. suis) also reduced the production of NF-κB-directed inflammatory cytokines. To further examine the cytokine profiles and the disease severity by the mutant virus in natural host animals, 6 groups of pigs, 7 animals per group, were used for co-infection with the mutant PRRSV-2 and S. suis. The double-mutant PRRSV-2 was clinically attenuated, and the expressions of proinflammatory cytokines and chemokines were significantly reduced in pigs after bacterial co-infection. Compared to the wild-type PRRSV-2 and S. suis co-infection control, pigs coinfected with the double-mutant PRRSV-2 exhibited milder clinical signs, lower titers and shorter duration of viremia, and lower expression of proinflammatory cytokines. In conclusion, our study demonstrates that genetic modification of the type I IFN suppression and NF-κB activation functions of PRRSV-2 may allow us to design a novel vaccine candidate to alleviate the clinical severity of PRRS-2 and PRDC during bacterial co-infection.
Subject(s)
Coinfection , Interferon Type I , Porcine Reproductive and Respiratory Syndrome , Porcine respiratory and reproductive syndrome virus , Swine , Animals , Porcine respiratory and reproductive syndrome virus/metabolism , Cytokines/genetics , Cytokines/metabolism , NF-kappa B/genetics , NF-kappa B/metabolism , Macrophages, Alveolar/metabolism , Interferon Type I/metabolism , Porcine Reproductive and Respiratory Syndrome/genetics , Porcine Reproductive and Respiratory Syndrome/metabolismABSTRACT
This study explores the efficacy of metaheuristic-based feature selection in improving machine learning performance for diagnosing sarcopenia. Extraction and utilization of features significantly impacting diagnosis efficacy emerge as a critical facet when applying machine learning for sarcopenia diagnosis. Using data from the 8th Korean Longitudinal Study on Aging (KLoSA), this study examines harmony search (HS) and the genetic algorithm (GA) for feature selection. Evaluation of the resulting feature set involves a decision tree, a random forest, a support vector machine, and naïve bayes algorithms. As a result, the HS-derived feature set trained with a support vector machine yielded an accuracy of 0.785 and a weighted F1 score of 0.782, which outperformed traditional methods. These findings underscore the competitive edge of metaheuristic-based selection, demonstrating its potential in advancing sarcopenia diagnosis. This study advocates for further exploration of metaheuristic-based feature selection's pivotal role in future sarcopenia research.
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Proinflammatory cytokine plays a central role in host defense and acute inflammatory responses. Both positive and negative correlations of NF-κB and Wnt/ß-catenin pathways have been reported depending on cell types in response to inflammatory stimuli for IL-6 cytokine production. Macrophages are vital to the regulation of immune responses and the development of inflammation, but the crosstalk between two pathways has not been elucidated so far in macrophages. We observed a positive cross-regulation between the NF-κB and Wnt/ß-catenin pathways for IL-6 production in human macrophages. To verify the functional validity of this interaction, LY294002 or PNU74654, representative blockers of each pathway, were treated. IL-6 secretion was reduced to the basal level by both inhibitor treatments, even when stimulated by LPS. We also found that NF-κB p65 migrated to the nucleus and interacted with the transcription factor TCF-4 in macrophages upon LPS stimulation.
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OBJECTIVE: The Children in Disaster: Evaluation and Recovery (CIDER) program in Korea was developed to treat children and adolescents exposed to trauma. This study aimed to demonstrate the effectiveness of the CIDER through a comparison with controls. METHODS: A total of 85 participants consisted of the intervention group (n=41) and control group (n=44). We assessed the changes in trauma-related symptoms, depression, anxiety, and improvements in quality of life before and after the intervention. RESULTS: In total, bullying and school violence (44.7%) were the most common trauma, followed by sexual abuse (17.6%). Acute stress disorder and post-traumatic stress disorder (PTSD) accounted for 41.2%, and attention-deficit/hyperactivity disorder (ADHD) and developmental disorder were the most common comorbidities (51.8%). The symptoms of trauma, depression, anxiety, and quality of life improved significantly in the intervention group, while the control group did not show significant changes. CONCLUSION: Compared with the control group, the CIDER improved symptoms and quality of life in children and adolescents who had experienced trauma. The CIDER program was practical and easy to apply, even for different ages, types of traumas, and comorbidities.
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The anterior inferior tibiofibular ligament (AITFL) avulsion fracture accompanying an ankle fracture can compromise ankle stability, necessitating accurate evaluation and a clear understanding of its pathophysiology.. The aim of this study was to investigate the association between AITFL avulsion fracture and Lauge-Hansen, Wagstaffe classification. A retro-prospective study was conducted at a university-affiliated tertiary care medical center. We selected 128 patients who underwent surgery at our institution between January 2013 and July 2017 and analyzed the association between AITFL avulsion fracture and the foot position. According to the modified Wagstaffe classification system, there were 39 cases of type II, followed by 9 cases of type III and 8 cases of type IV. Of the7 pronation-abduction fractures, 3 were AITFL avulsion fracture (43%), while of the 21 pronation-external rotation fractures, 9 were AITFL avulsion fracture (43%). Of the 95 supination-external rotation fractures, there were 56 cases (59%) of AITFL avulsion fractures. Of the pronation fractures, 0% were fibular avulsion fractures and 43% were tibial avulsion fractures. Of the supination fractures, 44% were fibular avulsion fractures and 16% were tibial avulsion fracture. The difference in the ratio of fibular to tibial avulsion fractures between pronation and supination fractures was significant (p < .001). These results suggest that tibial avulsion fractures of type IV in the modified Wagstaffe classification and pronation fractures occur due to collision with the anterolateral corners of the distal bone when the talus externally rotates. Moreover, in cases of pronation fractures, a new type of AITFL avulsion fracture has been observed.
Subject(s)
Ankle Fractures , Fractures, Avulsion , Lateral Ligament, Ankle , Tibial Fractures , Humans , Ankle Fractures/complications , Ankle Fractures/diagnostic imaging , Ankle Fractures/surgery , Fractures, Avulsion/complications , Fractures, Avulsion/diagnostic imaging , Fractures, Avulsion/surgery , Lateral Ligament, Ankle/surgery , Prospective Studies , Retrospective Studies , Fracture Fixation, Internal/methodsABSTRACT
Glomerular epithelial protein-1 (Glepp1), a R3 subtype family of receptor-type protein tyrosine phosphatases, plays important role in the activation of Src family kinases and regulates cellular processes such as cell proliferation, differentiation, and apoptosis. In this study, we firstly examined the functional evaluation of Glepp1 in tooth development and morphogenesis. The precise expression level and developmental function of Glepp1 were examined by RT-qPCR, in situ hybridization, and loss and gain of functional study using a range of in vitro organ cultivation methods. Expression of Glepp1 was detected in the developing tooth germs in cap and bell stage of tooth development. Knocking down Glepp1 at E13 for 2 days showed the altered expression levels of tooth development-related signaling molecules, including Bmps, Dspp, Fgf4, Lef1, and Shh. Moreover, transient knock down of Glepp1 revealed alterations in cellular physiology, examined by the localization patterns of Ki67 and E-cadherin. Similarly, knocking down of Glepp1 showed disrupted enamel rod and interrod formation in 3-week renal transplanted teeth. In addition, due to attrition of odontoblastic layers, the expression signals of Dspp and the localization of NESTIN were almost not detected after knock down of Glepp1; however, their expressions were increased after Glepp1 overexpression. Thus, our results suggested that Glepp1 plays modulating roles during odontogenesis by regulating the expression levels of signaling molecules and cellular events to achieve the proper structural formation of hard tissue matrices in mice molar development.
Subject(s)
Receptor-Like Protein Tyrosine Phosphatases, Class 3 , Tooth , Animals , Mice , Gene Expression Regulation, Developmental , Morphogenesis , Odontogenesis , Protein Tyrosine Phosphatases/metabolism , Receptor-Like Protein Tyrosine Phosphatases, Class 3/metabolism , Signal Transduction , Tooth/metabolismABSTRACT
BACKGROUND: Accurate age estimation is vital for clinical and forensic purposes. With the rapid advancement of artificial intelligence(AI) technologies, traditional methods relying on tooth development, while reliable, can be enhanced by leveraging deep learning, particularly neural networks. This study evaluated the efficiency of an AI model by applying the entire panoramic image for age estimation. The outcome performances were analyzed through supervised learning (SL) models. METHODS: Total of 27,877 dental panorama images from 5 to 90 years of age were classified by 2 types of grouping. In type 1 they were classified by each age and in type 2, applying heuristic grouping, the age over 20 years were classified by every 5 years. Wide ResNet (WRN) and DenseNet (DN) were used for supervised learning. In addition, the analysis with ± 3 years of deviation in both types were performed. RESULTS: For the DN model, while the type 1 grouping achieved an accuracy of 0.1016 and F1 score of 0.058, the type 2 achieved an accuracy of 0.3146 and F1 score of 0.2027. Incorporating ± 3years of deviation, the accuracy of type 1 and 2 were 0.281, 0.7323 respectively; and the F1 score were 0.1768, 0.6583 respectively. For the WRN model, while the type 1 grouping achieved an accuracy of 0.1041 and F1 score of 0.0599, the type 2 achieved an accuracy of 0.3182 and F1 score of 0.2071. Incorporating ± 3years of deviation, the accuracy of type 1 and 2 were 0.2716, 0.7323 respectively; and the F1 score were 0.1709, 0.6437 respectively. CONCLUSIONS: The application of entire panorama image data for supervised with classification by heuristics grouping with ± 3years of deviation for supervised learning models and demonstrated satisfactory outcome for the age estimation.
Subject(s)
Artificial Intelligence , Odontogenesis , Humans , Young Adult , Adult , TechnologyABSTRACT
Since the WHO's 2021 aging redefinition emphasizes "healthy aging" by focusing on the elderly's ability to perform daily activities, sarcopenia, which is defined as the loss of skeletal muscle mass, is now becoming a critical health concern, especially in South Korea with a rapidly aging population. Therefore, we develop a prediction model for sarcopenia by using machine learning (ML) techniques based on the Korea National Health and Nutrition Examination Survey (KNHANES) data 2008-2011, in which we focus on the role of socioeconomic status (SES), social infrastructure, and quality of life (QoL) in the prevalence of sarcopenia. We successfully identify sarcopenia with approximately 80% accuracy by using random forest (RF) and LightGBM (LGB), CatBoost (CAT), and a deep neural network (DNN). For prediction reliability, we achieve area under curve (AUC) values of 0.831, 0.868, and 0.773 for both genders, males, and females, respectively. Especially when using only male data, all the models consistently exhibit better performance overall. Furthermore, using the SHapley Additive exPlanations (SHAP) analysis, we find several common key features, which mainly contribute to model building. These include SES features, such as monthly household income, housing type, marriage status, and social infrastructure accessibility. Furthermore, the causal relationships of household income, per capita neighborhood sports facility area, and life satisfaction are analyzed to establish an effective prediction model for sarcopenia management in an aging population.
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An aging population and changes in dietary habits have increased the incidence of diabetes, resulting in complications such as diabetic foot ulcers (DFUs). DFUs can lead to serious disabilities, substantial reductions in patient quality of life, and high financial costs for society. By understanding the etiology and pathophysiology of DFUs, their occurrence can be prevented and managed more effectively. The pathophysiology of DFUs involves metabolic dysfunction, diabetic immunopathy, diabetic neuropathy, and angiopathy. The processes by which hyperglycemia causes peripheral nerve damage are related to adenosine triphosphate deficiency, the polyol pathway, oxidative stress, protein kinase C activity, and proinflammatory processes. In the context of hyperglycemia, the suppression of endothelial nitric oxide production leads to microcirculation atherosclerosis, heightened inflammation, and abnormal intimal growth. Diabetic neuropathy involves sensory, motor, and autonomic neuropathies. The interaction between these neuropathies forms a callus that leads to subcutaneous hemorrhage and skin ulcers. Hyperglycemia causes peripheral vascular changes that result in endothelial cell dysfunction and decreased vasodilator secretion, leading to ischemia. The interplay among these four preceding pathophysiological factors fosters the development and progression of infections in individuals with diabetes. Charcot neuroarthropathy is a chronic and progressive degenerative arthropathy characterized by heightened blood flow, increased calcium dissolution, and repeated minor trauma to insensate joints. Directly and comprehensively addressing the pathogenesis of DFUs could pave the way for the development of innovative treatment approaches with the potential to avoid the most serious complications, including major amputations.
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Despite the remarkable progress in the development of predictive models for healthcare, applying these algorithms on a large scale has been challenging. Algorithms trained on a particular task, based on specific data formats available in a set of medical records, tend to not generalize well to other tasks or databases in which the data fields may differ. To address this challenge, we propose General Healthcare Predictive Framework (GenHPF), which is applicable to any EHR with minimal preprocessing for multiple prediction tasks. GenHPF resolves heterogeneity in medical codes and schemas by converting EHRs into a hierarchical textual representation while incorporating as many features as possible. To evaluate the efficacy of GenHPF, we conduct multi-task learning experiments with single-source and multi-source settings, on three publicly available EHR datasets with different schemas for 12 clinically meaningful prediction tasks. Our framework significantly outperforms baseline models that utilize domain knowledge in multi-source learning, improving average AUROC by 1.2%P in pooled learning and 2.6%P in transfer learning while also showing comparable results when trained on a single EHR dataset. Furthermore, we demonstrate that self-supervised pretraining using multi-source datasets is effective when combined with GenHPF, resulting in a 0.6 pretraining. By eliminating the need for preprocessing and feature engineering, we believe that this work offers a solid framework for multi-task and multi-source learning that can be leveraged to speed up the scaling and usage of predictive algorithms in healthcare.1.
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This study aimed to demonstrate the feasibility of ureteral navigation using intraoperative indocyanine green (ICG) and near-infrared fluorescence (NIRF) imaging during complex laparoscopic or robot-assisted gynecologic surgery (LRAGS). Twenty-six patients at high risk of ureteral injury with complex pelvic pathology (CPP) due to pelvic organ prolapse (POP), multiple myomas, large intraligamentary or cervical myoma, severe pelvic adhesions, or cervical atresia underwent LRAGS. All patients underwent cystoscopic intraureteral ICG instillation before LRAGS and ureteral navigation under NIRF imaging intraoperatively. Both ureteral pathways were identified from the pelvic brim downwards through NIRF imaging in all patients, even though some were not visualized under the white light mode. The fluorescent ureters were visualized immediately after the beginning of surgery and typically lasted for >5 h during surgery. There were no cases of iatrogenic ureteral injury. The hemoglobin decrement was 1.47 ± 1.13 g/dL, and no transfusion was required. In our study, both ureters in all patients were identified with ICG-NIRF imaging during LRAGS, and these techniques made surgeries easier and safer. Despite the CPP, there was no ureteral injury or transfusion following surgery. Further prospective studies are needed to introduce intraoperative ureteral guidelines for ICG-NIRF imaging during LRAGS with CPP.
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Muscle atrophy is characterized by the loss of muscle function. Many efforts are being made to prevent muscle atrophy, and exercise is an important alternative. Methylglyoxal is a well-known causative agent of metabolic diseases and diabetic complications. This study aimed to evaluate whether methylglyoxal induces muscle atrophy and to evaluate the ameliorative effect of moderate-intensity aerobic exercise in a methylglyoxal-induced muscle atrophy animal model. Each mouse was randomly divided into three groups: control, methylglyoxal-treated, and methylglyoxal-treated within aerobic exercise. In the exercise group, each mouse was trained on a treadmill for 2 weeks. On the last day, all groups were evaluated for several atrophic behaviors and skeletal muscles, including the soleus, plantaris, gastrocnemius, and extensor digitorum longus were analyzed. In the exercise group, muscle mass was restored, causing in attenuation of muscle atrophy. The gastrocnemius and extensor digitorum longus muscles showed improved fiber cross-sectional area and reduced myofibrils. Further, they produced regulated atrophy-related proteins (i.e., muscle atrophy F-box, muscle RING-finger protein-1, and myosin heavy chain), indicating that aerobic exercise stimulated their muscle sensitivity to reverse skeletal muscle atrophy. In conclusion, shortness of the gastrocnemius caused by methylglyoxal may induce the dynamic imbalance of skeletal muscle atrophy, thus methylglyoxal may be a key target for treating skeletal muscle atrophy. To this end, aerobic exercise may be a powerful tool for regulating methylglyoxal-induced skeletal muscle atrophy.
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Four novel Gram-stain negative bacteria, designated as HAJ6T, PWR1T, SG15T and SSH11T, were isolated from the soil sample of paddy fields from Goyang in the Republic of Korea. The isolated strains were aerobic, short-rod or rod shaped, non-sporulating. They grew optimally at 30 °C, pH 7 and without additional NaCl. Phylogenetic analysis based on the 16S rRNA gene sequence revealed that they belong to the genus of Neoroseomonas and Pararoseomonas and closely relate to Neoroseomonas terrae DS-48T (97.5%; HJA6T), Neoroseomonas rubea MO17T (99.4%; PWR1T), Pararoseomonas pecuniae N75T (97.3%; SG15T) and Pararoseomonas rosea 173-96T (97.8%; SSH11T). The average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values of the isolates with the most closely related strains were 72.9-90.9% and 19.1-42.5%, respectively. The major fatty acids in the isolates were C16:0, C19:0 cyclo ω8c, C18:1 2-OH and summed feature 8 (composed of C18:1 ω7c and/or C18:1 ω6c), and the predominant quinone was ubiquinone 10. The polar lipid profile consisted of diphosphatidylglycerol, phosphatidylethanolamine, phosphatidylcholine, and other unidentified polar lipids. Based on the draft genome sequences, the genomic DNA G + C content of HAJ6T, PWR1T, SG15T and SSH11T were 69.5%, 72.0%, 70.8% and 69.7%, respectively. All isolates produced indole-3-acetic acid (IAA), a type of plant growth hormone in the presence of L-tryptophan. Physiological and biochemical tests and 16S rRNA sequence analysis clearly revealed that the isolates were novel species belonging to the genus Neoroseomonas and Pararoseomonas. Their proposed names were as follows: Neoroseomonas alba sp. nov. for strain HJA6T (= KACC 21545T = NBRC 114316T), Neoroseomonas nitratireducens sp. nov. for strain PWR1T (= KCTC 82687T = NBRC 114490T), Pararoseomonas indoligenes sp. nov. for strain SG15T (= KCTC 82686T = NBRC 114481T) and Paraoseomonas baculiformis sp. nov. for strain SSH11T (= KCTC 82685T = NBRC 11482T).