Advanced Science最新文献

Quantum Machine Learning

In article number 2411573, Zeheng Wang, Timothy van der Laan, and Muhammad Usman introduce a quantum algorithm-driven framework to compress chemiresistive sensor data. By employing a self-adaptive quantum kernel (SAQK), classical data are mapped into a quantum state space, where quantum principal component analysis (qPCA) is used to achieve significant dimensionality reduction. This innovative method not only minimizes information loss but also improves the subsequent AI-driven readout accuracy. The work highlights the synergy of quantum algorithms and AI, paving the way for efficient IoT data handling on noisy intermediate-scale quantum (NISQ) devices.

Neural Photostimulation

In article number 2410471, Kai Tao, Guanghong Wei, and co-workers develop a gaseous organization strategy using the physical vapor deposition technology to achieve synergistic self-assembly and arraying of bio-organic architectures. This enables Fmoc-FF molecules to self-assemble into unpredicted microspheres, offering programmable optoelectronic properties for bio-machine interfaces. The cover artwork illustrates a bio-photocapacitor engineered with these spherical arrays, designed for noninvasive and non-genetic neural photostimulation, showcasing a promising potential in biomedical engineering and neural interfacing applications.

Fetal Growth Restriction

Trophoblastic exosomes transport PPARγ into fetal preadipocytes via fetoplacental circulation and thus participate in the transcriptional regulation of downstream genes, which is not identical to that of endogenous PPARγ in preadipocytes. Compromised PPARγ in the placenta causes deficient adipogenesis in the fetus and intruterine growth restriction but can be rescued by placenta-targeted activation of PPARγ. More details can be found in article number 2404983 by Hongbo Qi, Chao Tong, and co-workers.

Accurate Gastric Cancer Detection

In this study a bimodal EV-circRNA analyzer (BEISA) for detecting circular RNA in gastric cancerderived extracellular vesicles (EVs) is developed. BEISA employs RF-HCR to generate dual fluorescent and electrochemical signals in situ. Combined with machine learning, it can effectively differentiate early gastric cancer patients from healthy donors. More details can be found in article number 2409202 by Lei Zheng, Ye Zhang, and co-workers.

Dysfunction-Associated Steatotic Liver Disease

High-fat diet upregulated O-GlcNAcylation of LIMA1 and LIMA1-enriched small extracellular vesicle (sEV) secretion in hepatocytes, exacerbated hepatic lipid deposition and metabolic dysfunction-associated steato-hepatitis (MASH) fibrosis. LIMA1 is a promising non-invasive biomarker and therapeutic target for MASH. More details can be found in article number 2415941 by Yongmin Yan and co-workers.

Curcuma aromatica

This frontispiece features Curcuma aromatica (Yu Jin), a traditional Chinese medicine used for over 2000 years in China to treat epilepsy and other diseases. In article number 2405263, Wenxiang Meng, Qi Xie, and co-workers reveal its molecular mechanism in regulating neuroinflammation and m6A RNA modification. Image drawn by artist Ding Han.

Fabrication of Graphene Polyhedra

The metal-doped nanoporous carbon material exhibits magnetoelectric coupling properties, with spin polarization increasing under a strong electric field. Notably, in magnetic force microscopy, spin polarization varies depending on the approach direction of the tip. More details can be found in article number 2414108 by Joong Yeon Lim, Young-Seong Kim, and co-workers.

Irreversible Electroporation Immunotherapy

In article number 2409381, Min Zhou, Zhe Tang, and co-workers present a microalgae-based drug delivery system, showcasing the oral administration of engineered microalgae carrying immunomodulators for liver cancer treatment. In synergy with irreversible electroporation technology, it activates systemic anti-tumor immunity. Through innovative collaboration between biomaterials and physiotherapy, it breaks through the limitations of traditional treatments and provides a new paradigm for precise immunotherapy of liver cancer.

Endoplasmic Reticulum Stress Response

Squamocin disrupts mitochondrial respiratory Complex I function, reduces ATP production, and impairs HSP90α function. These actions provoke endoplasmic reticulum (ER) stress and activate the unfolded protein response within tumor cells. This, in turn triggers the UBA6-UBE2ZFBXW7 ubiquitin cascade, enhancing ER stress-associated ubiquitylation and degradation of EZH2 and MYC, ultimately resulting in tumor growth arrest. More details can be found in article number 2413120 by Yunshan Ning and co-workers.