Pattern recognition receptors allow the innate immune system to perceive the presence of microbial products and to launch the first steps of the defense response. Some pattern recognition receptors also sense endogenous ligands that are released from uninfected dying cells, thereby activating immune responses against dead-cell antigens. This applies to toll-like receptors 3 and 4 (TLR3, TLR4), which sense double-stranded RNA and high-mobility group protein B1 (HMGB1), respectively, as well as to formyl peptide receptor-1 (FPR1), which interacts with Annexin A1 (ANXA1) from dead cells. Breast cancer patients who bear loss-of-function alleles in TLR3, TLR4, and FPR1 exhibit a reduced metastasis-free and overall survival after treatment with anthracycline-based adjuvant chemotherapy. These genetic defects are epistatic with respect to each other, suggesting that they act on the same pathway, linking chemotherapy to a therapeutically relevant anticancer immune response. Loss-of-function alleles in TLR4 and FPR1 also affect the prognosis of colorectal cancer patients treated with oxaliplatin-based chemotherapy. Altogether, these results support the idea that conventional anticancer treatments rely on stimulation of anticancer immune responses to become fully efficient. Cancer Res; 76(11); 3122-6. ©2016 AACR.
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http://dx.doi.org/10.1158/0008-5472.CAN-16-0294 | DOI Listing |
J Exp Psychol Gen
January 2025
Department of Psychology, University of Freiburg.
It has long been debated whether latent memory signals determine recognition judgments directly or through a small number of discrete states. Often, signal detection theory (SDT) models instantiate the former perspective, whereas the two-high-threshold (2HT) model instantiates the latter. Kellen and Klauer (2014) conducted a critical test using a ranking paradigm that yielded results in line with common SDT models and incompatible with the 2HT model.
View Article and Find Full Text PDFEfficient visual word recognition presumably relies on orthographic prediction error (oPE) representations. On the basis of a transparent neurocognitive computational model rooted in the principles of the predictive coding framework, we postulated that readers optimize their percept by removing redundant visual signals, allowing them to focus on the informative aspects of the sensory input (i.e.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry, University of Oxford, Warneford Ln, Headington, Oxford OX3 7JX, United Kingdom; Oxford Health NHS Foundation Trust, Warneford Ln, Headington, Oxford OX3 7JX, United Kingdom. Electronic address:
Background: The renin angiotensin system (RAS) is implicated in various cognitive processes relevant to anxiety. However, the role of the RAS in pattern separation, a hippocampal memory mechanism that enables discrete encoding of similar stimuli, is unclear. Given the proposed role of this mechanism in overgeneralization and the maintenance of anxiety, we explored the influence of the RAS on mnemonic discrimination i.
View Article and Find Full Text PDFComput Biol Med
January 2025
School of Computer Science, Chungbuk National University, Cheongju 28644, Republic of Korea. Electronic address:
The fusion index is a critical metric for quantitatively assessing the transformation of in vitro muscle cells into myotubes in the biological and medical fields. Traditional methods for calculating this index manually involve the labor-intensive counting of numerous muscle cell nuclei in images, which necessitates determining whether each nucleus is located inside or outside the myotubes, leading to significant inter-observer variation. To address these challenges, this study proposes a three-stage process that integrates the strengths of pattern recognition and deep-learning to automatically calculate the fusion index.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Cognitive Systems Lab, University of Bremen, 28359 Bremen, Germany.
This paper presents an approach for event recognition in sequential images using human body part features and their surrounding context. Key body points were approximated to track and monitor their presence in complex scenarios. Various feature descriptors, including MSER (Maximally Stable Extremal Regions), SURF (Speeded-Up Robust Features), distance transform, and DOF (Degrees of Freedom), were applied to skeleton points, while BRIEF (Binary Robust Independent Elementary Features), HOG (Histogram of Oriented Gradients), FAST (Features from Accelerated Segment Test), and Optical Flow were used on silhouettes or full-body points to capture both geometric and motion-based features.
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