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1. Dual‐Functional, Multi‐Targeting GNNQQNY‐AIE Conjugates as Amyloid Probes and Amyloid Modulators via Amyloid Cross‐Seeding Principle

   https://doi.org/10.1002/adfm.202208022  

   Tang, Yijing; Zhang, Dong; Gong, Xiong; Zheng, Jie (September 2022, Advanced Functional Materials)

   Abstract Amyloid protein aggregation is associated with many neurodegenerative diseases, including amyloid‐β (Aβ)in Alzheimer disease, human islet amyloid polypeptide (hIAPP) in type II diabetes, and human calcitonin (hCT) in medullary thyroid carcinoma. Significant efforts have been made to develop different diagnostic and prevention strategies for the early detection and intervention of these disease‐causative protein aggregates. However, conventional design wisdoms are mostly limited to the molecules with either single function (amyloid imaging or amyloid prevention) or single targeting protein (Aβ, hIAPP, or hCT). Here, a rational design strategy of an amyloid‐aggregation‐induced emission (AIE)‐active molecule is demonstrated by conjugating an amyloid fragment of GNNQQNY (G7) with an AIE fluorescent molecule of triphenylvinyl benzoic acid (namely, G7‐TBA), making G7‐TBA as multiple‐target, dual‐function, amyloid probes and amyloid modulators for detecting, monitoring, and altering amyloid aggregation of three different amyloid proteins (Aβ, hIAPP, and hCT). G7‐TBA probe shows conformationally specific binding affinities to amyloid aggregates, switching from an “off” state (low fluorescence) for amyloid monomers to an “on” state (high fluorescence) for β‐structure‐rich amyloid oligomers and fibrils in aqueous solution. Further surface immobilization of TBA probes on surface plasmon resonance surfaces allows to amplify detection sensitivity and binding affinity to amyloid aggregates formed at different aggregation stages. G7‐TBA as amyloid modulator enables acceleration of amyloid fibrillization and selectively protects cells from hIAPP‐induced toxicity. The distinct amyloid detection and modulation of G7‐TBA are essentially derived from the cross‐seeding between G7 and amyloid aggregation via β‐structure interaction, which by far exceed the binding affinity between commercial ThT and amyloid aggregates. Such design concepts of amyloid‐AIE conjugates can be further explored as multiple‐function and target probes and/or modulators for biomedical applications. 

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2. Amyloid-containing biofilms and autoimmunity

   https://doi.org/10.1016/j.sbi.2022.102435  

   Miller, Amanda L.; de Anda, Jaime; Wong, Gerard C.L.; Tükel, Çagla (August 2022, Current Opinion in Structural Biology)
3. Grassland sensitivity to drought is related to functional composition across E ast A sia and N orth A merica

   https://doi.org/10.1002/ecy.4220  

   Song, Lin; Griffin‐Nolan, Robert J.; Muraina, Taofeek O.; Chen, Jiaqi; Te, Niwu; Shi, Yuan; Whitney, Kenneth D.; Zhang, Bingchuan; Yu, Qiang; Smith, Melinda D.; et al (February 2024, Ecology)

   Abstract Plant traits can be helpful for understanding grassland ecosystem responses to climate extremes, such as severe drought. However, intercontinental comparisons of how drought affects plant functional traits and ecosystem functioning are rare. The Extreme Drought in Grasslands experiment (EDGE) was established across the major grassland types in East Asia and North America (six sites on each continent) to measure variability in grassland ecosystem sensitivity to extreme, prolonged drought. At all sites, we quantified community‐weighted mean functional composition and functional diversity of two leaf economic traits, specific leaf area and leaf nitrogen content, in response to drought. We found that experimental drought significantly increased community‐weighted means of specific leaf area and leaf nitrogen content at all North American sites and at the wetter East Asian sites, but drought decreased community‐weighted means of these traits at moderate to dry East Asian sites. Drought significantly decreased functional richness but increased functional evenness and dispersion at most East Asian and North American sites. Ecosystem drought sensitivity (percentage reduction in aboveground net primary productivity) positively correlated with community‐weighted means of specific leaf area and leaf nitrogen content and negatively correlated with functional diversity (i.e., richness) on an intercontinental scale, but results differed within regions. These findings highlight both broad generalities but also unique responses to drought of community‐weighted trait means as well as their functional diversity across grassland ecosystems. 

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4. Toward Robustness across Cosmological Simulation Models I llustris TNG, SIMBA, A strid , and S wift -E agle

   https://doi.org/10.3847/1538-4357/adec78  

   Jo, Yongseok; Genel, Shy; Sengupta, Anirvan; Wandelt, Benjamin; Somerville, Rachel; Villaescusa-Navarro, Francisco (September 2025, The Astrophysical Journal)

   Abstract The rapid advancement of large-scale cosmological simulations has opened new avenues for cosmological and astrophysical research. However, the increasing diversity among cosmological simulation models presents a challenge to therobustness. In this work, we develop the Model-Insensitive ESTimator (Miest), a machine that canrobustlyestimate the cosmological parameters, Ω_mandσ₈, from neural hydrogen maps of simulation models in the Cosmology and Astrophysics with MachinE Learning Simulations project—IllustrisTNG,SIMBA, Astrid, and SWIFT-Eagle. An estimator is consideredrobustif it possesses a consistent predictive power across all simulations, including those used during the training phase. We train our machine using multiple simulation models and ensure that it only extracts common features between the models while disregarding the model-specific features. This allows us to develop a novel model that is capable of accurately estimating parameters across a range of simulation models, without being biased toward any particular model. Upon the investigation of the latent space—a set of summary statistics, we find that the implementation ofrobustnessleads to the blending of latent variables across different models, demonstrating the removal of model-specific features. In comparison to a standard machine lackingrobustness, the average performance of Mieston the unseen simulations during the training phase has been improved by ∼17% for Ω_mand 38% forσ₈. By using a machine learning approach that can extractrobust, yet physical features, we hope to improve our understanding of galaxy formation and evolution in a (subgrid) model-insensitive manner, and ultimately, gain insight into the underlying physical processes responsible forrobustness. 

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5. Development of a Bioinspired, Self‐Adhering, and Drug‐Eluting Laryngotracheal Patch

   https://doi.org/10.1002/lary.29182  

   Miar, Solaleh; Dion, Gregory R.; Montelongo, Sergio; Ong, Joo L.; Bizios, Rena; Guda, Teja (October 2020, The Laryngoscope)

   null (Ed.)

   Objectives/Hypothesis Novel laryngotracheal wound coverage devices are limited by complex anatomy, smooth surfaces, and dynamic pressure changes and airflow during breathing. We hypothesize that a bioinspired mucoadhesive patch mimicking how geckos climb smooth surfaces will permit sutureless wound coverage and also allow drug delivery. Study Design ex‐vivo. Methods Polycaprolactone (PCL) fibers were electrospun onto a substrate and polyethylene glycol (PEG) – acrylate flocks in varying densities were deposited to create a composite patch. Sample topography was assessed with laser profilometry, material stiffness with biaxial mechanical testing, and mucoadhesive testing determined cohesive material failure on porcine tracheal tissue. Degradation rate was measured over 21 days in vitro along with dexamethasone drug release profiles. Material handleability was evaluated via suture retention and in cadaveric larynges. Results Increased flocking density was inversely related to cohesive failure in mucoadhesive testing, with a flocking density of PCL‐PEG‐2XFLK increasing failure strength to 6880 ± 1810 Pa compared to 3028 ± 791 in PCL‐PEG‐4XFLK density and 1182 ± 262 in PCL‐PEG‐6XFLK density. The PCL‐PEG‐2XFLK specimens had a higher failure strength than PCL alone (1404 ± 545 Pa) or PCL‐PEG (2732 ± 840). Flocking progressively reduced composite stiffness from 1347 ± 15 to 763 ± 21 N/m. Degradation increased from 12% at 7 days to 16% after 10 days and 20% after 21 days. Cumulative dexamethasone release at 0.4 mg/cm2 concentration was maintained over 21 days. Optimized PCL‐PEG‐2XFLK density flocked patches were easy to maneuver endoscopically in laryngeal evaluation. Conclusions This novel, sutureless, patch is a mucoadhesive platform suitable to laryngeal and tracheal anatomy with drug delivery capability. 

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