Publications by authors named "Honghao Wang"

Background: Mitochondrial damage is significant in autoimmune diseases, with mitochondrial N-formyl methionine peptide (fMet) being released from damaged mitochondria. However, its potential as a marker for assessing the severity of two kinds of encephalitis - anti-N-methyl-D-aspartate receptor (anti-NMDAR) and anti-leucine-rich glioma-inactivated 1 (LGI1) - remains uncertain. We measured CSF fMet levels in anti-NMDAR encephalitis and anti-LG1 encephalitis patients, assessing its diagnostic and therapeutic potential.

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Single-crystal high-nickel oxide with an integral structure can prevent intergranular cracks and the associated detrimental reactions. Yet, its low surface-to-volume ratio makes surficial degradation a more critical factor in electrochemical performance. Herein, artificial proton-rich (ammonium bicarbonate) shell is successfully introduced on the nickel-rich LiNiCoMnO single crystals for in situ electrochemically conversing into inorganic maskant to enhance stability of cathode.

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Restoration of the occlusal relationship is the key point in the treatment of maxillofacial fractures. Poor restoration of the occlusal relationship seriously impacts oral function as well as physical and mental health. This study combines virtual surgical technology with model surgery, uses computed tomography data to establish a maxillofacial bone model, and performs a virtual reduction of fractures.

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Background: In recent studies, accumulating evidence has revealed a strong association between the inflammatory response and the prognosis of many tumors. There is a certain correlation of neutrophil-to-lymphocyte ratio (NLR) with the prognosis in gastric cancer (GC) patients undergoing neoadjuvant chemotherapy (NAC). However, the existing research results have remained controversial.

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  • The text discusses the importance of predicting molecular properties for drug design, highlighting challenges faced by traditional graph neural networks (GNNs) due to low clustering and dominating chain structures in molecular graphs.
  • A new model called the chain-aware graph neural network is introduced, which enhances node feature expressiveness by capturing chain structures and improving feature interaction through initial residual difference connections.
  • Empirical analyses demonstrate that this new approach outperforms standard graph convolution in capturing long-range dependencies in real-world molecular datasets, and the code is available for public access.
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  • Remote sensing technology enhances water quality monitoring by overcoming limitations of traditional methods, particularly in complex urban river networks.
  • The study introduces a new ensemble learning model that integrates spectral and environmental factors to improve water quality predictions in Shanghai's rivers, leveraging data from a local dataset.
  • Results show significant improvements in predictive accuracy, with the model achieving coefficient of determination (R) values around 0.52 to 0.58 for key water quality parameters, although the variability in error rates indicates room for improvement.
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Ethnopharmacological Relevance: Anti-NMDAR encephalitis is one of the most common types of autoimmune encephalitis, primarily presenting with prodromal symptoms, such as fever and headache, followed by a range of neurological and psychiatric symptoms. Chaihu Guizhi Decoction (CGD), a traditional Chinese medicine formulated by Zhang Zhongjing in the Eastern Han Dynasty, has been effectively used in clinical practice to treat the symptoms of Taiyang and Shaoyang disorders, including fever, headache, and psychiatric disorders.

Aim Of The Study: To demonstrate the protective effects of CGD in an animal model of anti-NMDAR encephalitis and explore the potential mechanisms involved.

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An abnormal increase in the expression of nuclear receptor subfamily 6 group A member 1 (NR6A1) in the hippocampus has been reported to result in depressive-like behavior in mice. However, the role of NR6A1 in the progression of neuronal death induced by ischemic stroke remains unknown. In this study, we observed an increase in NR6A1 in neurons in both in vivo and in vitro cerebral ischemic models.

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Aims: This study evaluated millet germplasms in Liaoning Province to support the collection, preservation and innovation of millet germplasm resources.

Methods: The study was conducted from 2018 to 2020, involved the selection of 105 millet germplasm resources from the Germplasm Bank of the Liaoning Academy of Agricultural Sciences (LAAS), the observation and recording of 31 traits, and the application of multivariate analysis methods to assess phenotypic diversity.

Results: From the diversity analysis and correlation analysis, it was found that the tested traits had abundant diversity and complex correlations among them.

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  • The study aims to evaluate a deep learning radiomics nomogram (DLRN) based on contrast-enhanced CT imaging for predicting MDM2 gene amplification to differentiate between retroperitoneal well-differentiated liposarcomas (WDLPS) and lipomas.
  • The research included 167 patients and developed multiple models (including DLRN) to analyze imaging features and clinical data, evaluating their effectiveness through various metrics like accuracy and AUC.
  • Results showed that DLRN outperformed traditional models, indicating its potential as a reliable preoperative imaging tool for personalized patient care in distinguishing between these two tumors.
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Background: Third molar (M3) extraction is a common surgery in oral and maxillofacial surgery, and composite wound dressings such as hydroxybutyl chitosan (HBC) may improve postoperative sequala following M3 removal.

Purpose: The study purpose was to measure and compare differences in pain, swelling, trismus, wound healing, and quality of life (QOL) between the HBC and the control sides in patients undergoing M3 removal.

Study Design, Setting, Sample: This study is a double-blind, split-mouth, randomized clinical trial.

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Objective: The margin status of oral squamous cell carcinoma patients is considered to be predictive of recurrence and long-term survival. Therefore, precise intraoperative margin assessment is crucial. This study investigated the feasibility of using near-infrared fluorescence imaging technology to guide margin design in oral squamous cell carcinoma patients.

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  • Tuberculous meningitis (TBM) is a severe form of tuberculosis that poses challenges in diagnosis and treatment; this study focused on its clinical presentation, diagnosis, and outcomes in China over a decade.
  • The study included 341 patients with presumed TBM, categorizing them as confirmed, probable, or possible TBM based on international criteria; various health metrics were recorded and analyzed, revealing significant death risk factors.
  • Findings indicated that factors like older age, high TBM scores, severe clinical grading, and specific CSF results were linked to higher mortality; notably, patients with a lower TBM score had better outcomes despite less classic symptoms.
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Background: The pathway involving PTEN-induced putative kinase 1 (PINK1) and PARKIN plays a crucial role in mitophagy, a process activated by artesunate (ART). We propose that patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis exhibit insufficient mitophagy, and ART enhances mitophagy via the PINK1/PARKIN pathway, thereby providing neuroprotection.

Methods: Adult female mice aged 8-10 weeks were selected to create a passive transfer model of anti-NMDAR encephalitis.

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Multiple sclerosis (MS) was defined as a rare disease in China due to its low prevalence. For a long time, interferon β was the only approved disease-modifying therapy (DMT). Since the first oral DMT was approved in 2018, DMT approval accelerated, and seven DMTs were approved within 5 years.

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In this work, CuM/CeO (M = Mn, Fe, Co, Ni, and Zr) catalysts with a low Cu content of 1 wt% were purposely designed and prepared using the co-impregnation method. The samples were characterized using various techniques (TG-DTA, XRD, N-adsorption/desorption measurements, H-TPR, XPS and Raman spectroscopy) and CO preferential oxidation (CO-Prox) under H/CO-rich conditions was performed. The results have shown that enhanced catalytic performance was achieved upon the introduction of Mn, Co and Ni, and little impact was observed with Zr doping, but Fe showed a negative effect, as compared with the Cu/CeO catalyst.

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  • This study examines neurological complications related to COVID-19, focusing on CNS issues and their clinical characteristics in patients analyzed from December 2022 to February 2023 at four hospitals in China.
  • A total of 34 patients were assessed, revealing various CNS syndromes such as encephalitis and depression, with a significant number testing positive for autoantibodies linked to their conditions.
  • The findings suggest that detecting these autoantibodies can be crucial since a majority of patients responded well to immunotherapy, indicating a need for attention to these complications in COVID-19 treatment strategies.
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Abundant iron and sulfate resources are present in acid mine drainage. The synthesis of schwertmannite from AMD rich in iron and sulfate could achieve the dual objectives of resource recovery and wastewater purification. However, schwertmannite cannot emerge spontaneously due to the Gibbs free energy greater than 0.

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Given the established role of nuclear receptor corepressor 1 (NCoR1) in sensing environmental cues and the importance of inflammation in neurodegenerative diseases, elucidation of NCoR1 involvement in neuroinflammation has notable implications. Yet, its regulatory mechanism remains largely unclear. Under in vitro conditions, NCoR1 expression peaked and then decreased at 12 h after lipopolysaccharides (LPS) stimulation in BV2 cells, However, NCoR1 knockdown using si-RNA attenuated microglial inflammation, evident by reduced the levels of inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX2), phosphorylated-JNK and high mobility group box-1 (HMGB1).

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  • Two-dimensional metal chalcogenides (2D MCs) could potentially overcome the limitations posed by traditional silicon-based CMOS devices, leading to better performance and applications.* -
  • The review discusses recent advancements in plasma modification techniques for 2D MCs, such as doping, defect engineering, and nano-patterning, which enhance their functionality in electronic and optoelectronic devices.* -
  • It concludes by addressing the current challenges and future directions for plasma modulation in 2D MCs, providing insights for further research in this area.*
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  • The study investigates how oxygen adsorbs on a composite surface (Cu/CeO(111)) and its impact on the reactivity for oxidizing carbon monoxide (CO) using Density Functional Theory (DFT).
  • It finds that different oxygen species form depending on where oxygen adsorbs—superoxide species form with direct interaction with copper, while ozone-like species arise from subsurface oxygen vacancies.
  • The results enhance understanding of the CO oxidation process in Cu-doped CeO catalysts, revealing that the adsorbed oxygen species significantly contribute to the reaction efficiency.
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  • The HPV vaccine is designed to help prevent cervical cancer and has been worked on in China for over 15 years.
  • China is making efforts to increase HPV vaccination by developing local vaccines and setting up free vaccination programs.
  • Challenges like vaccine availability, pricing, and ensuring everyone, especially girls in poorer areas and boys, have access need to be solved for better vaccination rates.
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Background: Traditional estimates can only provide static predictions of cancer outcomes and cannot assess the evolving effect of race on patient survival. This study aims to reveal the dynamic survival of patients with bladder cancer and to explore the evolving effect of race on patient prognosis.

Methods: Using data from the Surveillance, Epidemiology, and End Results (SEER) registry, 99,590 white, 6,036 African American, and 4,685 Asian/Pacific Islander (API) patients with bladder cancer were identified.

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The fatigue cracking of orthotropic steel bridge decks (OSDs) is a difficult problem that hinders the development of steel structures. The most important reasons for the occurrence of fatigue cracking are steadily growing traffic loads and unavoidable truck overloading. Stochastic traffic loading leads to the random propagation behavior of fatigue cracks, which increases the difficulty of the fatigue life evaluations of OSDs.

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