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Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease with five predominant histologic subtypes. Fully supervised convolutional neural networks can improve the accuracy and reduce the subjectivity of LUAD histologic subtyping using hematoxylin and eosin (H&E)-stained whole slide images (WSIs). However, developing supervised models with good prediction accuracy usually requires extensive manual data annotation, which is time-consuming and labor-intensive. This work proposes three self-supervised learning (SSL) pretext tasks to reduce labeling effort. These tasks not only leverage the multi-resolution nature of the H&E WSIs but also explicitly consider the relevance to the downstream task of classifying the LUAD histologic subtypes. Two tasks involve predicting the spatial relationship between tiles cropped from lower and higher magnification WSIs. We hypothesize that these tasks induce the model to learn to distinguish different tissue structures presented in the images, thus benefiting the downstream classification. The third task involves predicting the eosin stain from the hematoxylin stain, inducing the model to learn cytoplasmic features relevant to LUAD subtypes. The effectiveness of the three proposed SSL tasks and their ensemble was demonstrated by comparison with other state-of-the-art pretraining and SSL methods using three publicly available datasets. Our work can be extended to any other cancer type where tissue architectural information is important. The model could be used to expedite and complement the process of routine pathology diagnosis tasks. The code is available at https://github.com/rina-ding/ssl_luad_classification.

Lung cancer screening (LCS) is effective in reducing mortality, particularly when patients adhere to follow-up recommendations standardized by the Lung CT Screening Reporting & Data System (Lung-RADS). Nevertheless, patient adherence to recommended intervals varies, potentially diminishing benefit from screening. We conducted a systematic review and meta-analysis of patient adherence to Lung-RADS-recommended screening intervals. We systematically searched MEDLINE, EMBASE, Web of Science, the Cochrane Central Register of Controlled Trials, and major radiology and oncology conference archives between April 28, 2014, and December 17, 2020. Eligible studies mentioned patient adherence to the recommendations of Lung-RADS. The review protocol was registered with PROSPERO (CRD42020189326). We identified 24 eligible studies for qualitative summary, of which 21 were suitable for meta-analysis. The pooled adherence rate was 57% (95% confidence interval: 46%-69%) for defined adherence (e.g., an annual incidence screen was performed within 15 mo) among 6689 patients and 65% (95% confidence interval: 55%-75%) for anytime adherence among 5085 patients. Large heterogeneity in adherence rates between studies was observed (I2 = 99% for defined adherence, I2 = 98% for anytime adherence). Heterogeneous adherence rates were associated with Lung-RADS scores, with significantly higher adherence rates among Lung-RADS 3 to 4 than Lung-RADS 1 to 2 (p < 0.05). Patient adherence to Lung-RADS-recommended screening intervals is suboptimal across clinical LCS programs in the United States, especially among patients with results of Lung-RADS categories 1 to 2. To improve adherence rates, future research may focus on implementing tailored interventions after identifying barriers to LCS. We also propose a minimum standardized set of data elements for future pooled analyses of LCS adherence on the basis of our findings.

Background: Traumatic brain injury (TBI) is a critical global health concern characterized by elevated rates of both morbidity and mortality. The pathological and physiological changes after TBI are closely related to microglia. Microglia, the primary immune cells in the brain, are closely linked to the mechanisms and treatment of TBI. With increasing research in this area, this study employs bibliometric analysis to identify current research hotspots and predict future trends. Objective: We decided to perform a bibliometric analysis to provide a comprehensive overview of the advancements in microglia research related to traumatic brain injury. We aim to offer researchers insights into current trends and future research directions. Method: We collected all articles and reviews related to microglia and traumatic brain injury published between 2000 and 2023 from the Web of Science Core Collection. These records were analyzed using VOSviewer, CiteSpace, and the R package "bibliometrix". Results: We retrieved 665 publications from 25 countries, with the majority contributed by the United States and China. The number of publications on traumatic brain injury and microglia has been steadily increasing each year. Our analysis highlighted the Journal of Neurotrauma and the Journal of Neuroinflammation as the most influential journals in this field. Alan I. Faden and David J. Loane are recognized as leading contributors. Keyword analysis indicates that neuroinflammation, microglial polarization, and neurodegenerative diseases are pivotal areas for future research. Conclusion: In recent years, research on TBI-related microglia has proliferated, with current studies primarily focusing on microglial involvement in neuroinflammation, neurodegenerative changes, and microglial polarization following TBI. Since neuroinflammation and neurodegeneration are two hallmark features of TBI, targeting microglia in TBI treatment may become a central focus for future research. [ABSTRACT FROM AUTHOR]

Simple Summary: Lacquer trees are susceptible to high-temperature stress during the summer, which affects their metabolism and management. Research indicates that elevated temperatures enhance the levels of some alkaloids, quinones, and amino acids, signaling active nitrogen metabolism. This stress also led to the degradation of abscisic acid and an increase in the jasmonic acid level. Additionally, restructuring gene expression in lacquer trees triggered metabolic adjustments and promoted the synthesis of certain glycosylated flavonoids. These findings illuminate the metabolic and molecular responses to heat stress, providing valuable insights for enhancing lacquer tree resilience and productivity in a changing climate, thereby benefiting both plant science and agricultural practices. Lacquer trees (Toxicodendron vernicifluum), economically vital, face high-temperature stress in summer. Transcriptomic, proteomic, and metabolomic analyses were employed to investigate the mechanisms by which lacquer trees respond to high temperatures. High-temperature treatment led to notable metabolite changes with 224 upregulated and 69 downregulated. Indole-3-acetic acid remained stable while abscisic acid decreased, with increases in jasmonic acid and jasmonoyl-L-isoleucine indicating complex hormonal responses. JAR1 and ABA 8′-hydroxylase encoding genes were upregulated. The rise in JAs boosted the alkaloid content and activated nitrogen transport. High temperatures also increased specific amino acids and upregulated aminotransferase and protease-encoding genes. Metabolomic analysis showed elevated flavonoid glycosides and the upregulation of glycosyltransferase genes. WPCNA found 35 protein modules involved in secondary metabolite biosynthesis, protein phosphorylation, and signal transduction. Protein–protein interaction analysis revealed MYC6's link with flavonoid biosynthesis, indicating its role in promoting flavonoids. [ABSTRACT FROM AUTHOR]

Background: Intestinal ischemia/reperfusion (I/R) injury is a clinical challenge with high morbidity and mortality, whereas the effective therapeutic strategy is limited. Inflammatory reaction plays important roles in I/R-induced intestinal damage and multi-organ dysfunction syndrome. Peroxisome proliferator-activated receptor gamma (PPARγ) has been identified as an endogenous anti-inflammatory regulator by inhibiting nuclear factor-κB (NF-κB) activation. Our previous research has shown that the pretreatment with inhaled anesthetic sevoflurane protects intestinal I/R injury. However, whether the protection induced by sevoflurane is mediated by inhibiting intestinal inflammatory reaction via activation of PPARγ/NF-κB pathway is underdetermined. In this study, we investigated the effects of sevoflurane on intestinal inflammatory reaction during intestinal I/R and the role of PPARγ/NF-κB pathway. Methods: Rat model of intestinal I/R was used in this study. The superior mesenteric artery was clamped for 60 min followed by 120-min reperfusion. Sevoflurane at 0.5 minimum alveolar concentration was inhaled for 30 min before ischemic insult. GW9662, a specific PPARγ antagonist, was injected intraperitoneally before sevoflurane inhalation. Results: Intestinal I/R caused severe intestinal mucosa histopathological injury evaluated by Chiu's scoring, induced epithelial cell apoptosis evaluated by terminal deoxyribonucleotide transferase-mediated dUTP nick end labeling and activation of caspase-3, upregulated serum MOD levels, reduced protein expression of Bcl-2 and PPARγ, increased protein expression of NF-κB P65 and proinflammatory cytokine tumor necrosis factor-α and interleukin-6 in the intestine. Sevoflurane preconditioning significantly ameliorated these changes induced by intestinal I/R. However, GW9662 partly blocked the protective effects induced by sevoflurane. Conclusions: Our results suggest sevoflurane-induced protection against intestinal I/R injury is partly mediated by inhibiting intestinal inflammatory reaction via activation of PPARγ/NF-κB pathway. [ABSTRACT FROM AUTHOR]

Introduction and Importance: Intracranial dermoid cysts are rare, constituting 0.04% to 0.6% of all intracranial tumors. They often arise from ectodermal cells trapped during neural tube formation. We report a case of spontaneous rupture of a large tentorial epithelioid cyst, which caused massive dissemination of liquid cholesterol into the subarachnoid cisterns and ventricles., Presentation of Case: A 28-year-old male presented with a two-week history of headache and memory decline. CT and MRI revealed a 9x6 cm lesion in the left frontotemporal region with widespread dissemination of lipid droplets. Surgical resection was performed using a microscope combined with a neuroendoscope. Pathology confirmed a dermoid cyst., Clinical Discussion: Ruptured dermoid cysts can cause significant symptoms due to the dissemination of cyst contents. Imaging is crucial for diagnosis and surgical planning. The combined microscopic and neuroendoscopic approach minimized blind spots and allowed thorough tumor exposure, facilitating complete resection with minimal residual complications. Postoperative outcomes were favorable, with imaging confirming substantial tumor removal and restored cerebrospinal fluid circulation., Conclusion: Prompt diagnosis and comprehensive surgical intervention are essential for managing ruptured intracranial dermoid cysts. Combined microscopic and neuroendoscopic techniques are effective in achieving extensive resection and reducing complications., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Zhang, Deng, Wu, Yang, Ma, Wang, Ding, Li, Wang and Zheng.)

Determining factors influencing patient participation in and adherence to cancer screening recommendations is key to successful cancer screening programs. However, the collection of variables necessary to anticipate patient behavior in cancer screening has not been systematically examined. Using lung cancer screening as a representative example, we conducted an exploratory analysis to characterize the current representations of 18 demographic, health-related, and psychosocial variables collected as part of a conceptual model to understand factors for lung cancer screening participation and adherence. Our analysis revealed a lack of standardization in controlled terminologies and common data elements for these variables. For example, only eight (44%) demographic and health-related variables were recorded consistently in the electronic health record. Multiple survey instruments could collect the remaining variables but were highly inconsistent in how variables were represented. This analysis suggests opportunities to establish standardized data formats for psychological, cognitive, social, and environmental variables to improve data collection., (©2022 AMIA - All rights reserved.)