Publications by authors named "Shuaiheng He"

This study aims to compare the incidences of neurological deterioration (ND) and poor outcome (a modified Ranking scale > 2 points at discharge) among patients with different atherosclerotic stroke patterns. A total of 688 participants were categorized into 4 groups according to atherosclerotic stroke pattern: multiple small infarcts (MSI), single subcortical infarction (SSI), borderzone infarct (BZI) and large infarct groups. Among the 4 groups, MSI group had the lowest incidences of ND and poor outcome (13.

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High-fat diet (HFD) induces low-grade chronic inflammation, contributing to obesity and insulin resistance. However, the precise mechanisms triggering obesity-associated metabolic inflammation remain elusive. In this study, we identified epigenetic factor Brd4 as a key player in this process by regulating the expression of Ccr2/Ccr5 in colonic macrophage.

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Cold stress, a major abiotic factor, positively modulates the synthesis of artemisinin in Artemisia annua and influences the biosynthesis of other secondary metabolites. To elucidate the changes in the synthesis of secondary metabolites under low-temperature conditions, we conducted dynamic transcriptomic and metabolite quantification analyses of A. annua leaves.

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The mitochondrial whole genome of Phellinus igniarius was sequenced with the objective of examining the evolutionary relationships amongst related species. The entire mitochondrial genome was assembled using Illumina sequencing technology. The structural annotation and bioinformatics analysis were performed.

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Polyomavirus enhancer activator 3 (PEA3), an ETS transcription factor, has been documented to regulate the development and metastasis of human cancers. Nonetheless, a thorough analysis examining the relationship between the PEA3 subfamily members and tumour development, prognosis, and the tumour microenvironment (TME) across various cancer types has not yet been conducted. The expression profiles and prognostic significance of the PEA3 subfamily were evaluated using data from the GEO, TCGA, and PrognoScan databases, in conjunction with COX regression analyses and the Kaplan-Meier Plotter.

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Ursodeoxycholic acid (UDCA) is the first-line treatment for primary biliary cholangitis (PBC), but 20-40% of patients do not respond well to UDCA. We aimed to develop and validate a prognostic model for the early prediction of patients who nonresponse to UDCA. This retrospective analysis was conducted among patients with primary biliary cholangitis(N = 257) to develop a predictive model for early-stage nonresponse to ursodeoxycholic acid (UDCA) therapy.

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Knowledge distillation improves student model performance. However, using a larger teacher model does not necessarily result in better distillation gains due to significant architecture and output gaps with smaller student networks. To address this issue, we reconsider teacher outputs and find that categories with strong teacher confidence benefit distillation more, while those with weaker certainty contribute less.

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The Quantum Computing for Drug Discovery Challenge, held at the 42nd International Conference on Computer-Aided Design (ICCAD) in 2023, was a multi-month, research-intensive competition. Over 70 teams from more than 65 organizations from 12 different countries registered, focusing on the use of quantum computing for drug discovery. The challenge centered on designing algorithms to accurately estimate the ground state energy of molecules, specifically OH+, using quantum computing techniques.

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Recent works have introduced prompt learning for Event Argument Extraction (EAE) since prompt-based approaches transform downstream tasks into a more consistent format with the training task of Pre-trained Language Model (PLM). This helps bridge the gap between downstream tasks and model training. However, these previous works overlooked the complex number of events and their relationships within sentences.

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Rolling bearings of the vibration exciter are prone to failure due to long-term high amplitude alternating impact loads, causing economic losses and threatening production safety. The heavy environmental noise during the operation of the vibration exciter and the high vibration level generated by the eccentric block make the weak bearing fault features submerged and difficult to extract. Teager-Kaiser energy operator is a popular method for extracting bearing fault features.

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Accurately identifying bearing faults in aeroengines is crucial for maintaining their lifespan and cost. However, most current models are black-box models, such as deep learning models such as deep neural networks. The decision-making process of these models is more complex and lacks interpretability, which results in insufficient credibility of the results.

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Chronic ischemia in moyamoya disease (MMD) impaired white matter microstructure and neural functional network. However, the coupling between cerebral blood flow (CBF) and functional connectivity and the association between structural and functional network are largely unknown. 38 MMD patients and 20 sex/age-matched healthy controls (HC) were included for T1-weighted imaging, arterial spin labeling imaging, resting-state functional MRI and diffusion tensor imaging.

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Continuous cropping obstacle has been becoming the bottleneck for the stable development of morel cultivation. The allelopathic effect of soil allelochemicals may play an instrumental role in the morel soil sickness. In this study, the allelochemicals were identified by gas chromatography-mass spectrometry (GC-MS) combined with in vitro bioassay.

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Hormographiella aspergillata is a rare hyaline mold causing invasive fungal infection in humans, until the frequent use of antifungal prophylaxis in immunocompromised hosts. Due to the high mortality of H. aspergillata infection, early recognition and treatment are crucial.

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Growth-differentiation factor 15 (GDF-15) is a cytokine involved in cellular stress responses and inflammation. This meta-analysis evaluates the association between circulating GDF-15 levels and functional outcomes in patients with acute ischemic stroke (AIS). A comprehensive search of Medline, Web of Science, Embase, Wanfang, and CNKI was conducted up to July 15, 2024.

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Background: There is controversy surrounding the influence of dexmedetomidine on the recovery of postoperative gastrointestinal dysfunction in patients under general anesthesia. The main purpose of this meta-analysis is to evaluate the effect of dexmedetomidine administration during the perioperative period on the recovery of gastrointestinal function in patients under general anesthesia.

Methods: A systematic review and meta-analysis with trial sequential analysis was performed to identify randomized controlled trials comparing dexmedetomidine administration with placebo for the recovery of gastrointestinal function.

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Objective: This study aimed to investigate the associations of multi-omics polygenic risk score (PRS) and rheumatoid arthritis (RA) to identify potential genes/proteins and biological pathways.

Methods: Based on multi-omics data from 48,813 participants in the INTERVAL cohort, we calculated multi-omics PRS for 13,646 mRNAs (RNASeq), 308 proteins (Olink), 2,380 proteins (SomaScan), 726 metabolites (Metabolon), and 141 metabolites (Nightingale). Using the generalized linear model, we first evaluated the associations between multi-omics PRS and RA in 58,813 UK Biobank participants.

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Glioblastoma multiforme (GBM) is a highly heterogeneous and aggressive brain tumor, which presents significant challenges for treatment in clinical settings. Phosphodiesterase 4 (PDE4) inhibitors can prevent the degradation of cAMP and have been used as a potential targeted therapeutic approach for different cancer types. However, their clinical use is restricted by side effects such as nausea and vomiting.

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It has been found that severe lipid metabolism disorders are often present in patients with Psoriasis, including decreased levels of high-density lipoprotein (HDL). This study initially explored the impact of HDL level variations on psoriasis by collecting. This study collected 12 blood samples and 9 skin samples from psoriasis vulgaris and psoriasis vulgaris with reduced HDL levels and performed bulk RNA sequencing.

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Introduction: In Crohn's disease (CD), lesions are mainly distributed in a segmental manner, with the primary sites of involvement being the ileum and colon. Heterogeneity in colon and ileum results in location-specific clinical presentations and therapeutic responses. Mucosal healing tends to be more readily and quickly achieved in the colon than in the ileum, where lesions are more likely to develop into complex behaviors.

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Article Synopsis
  • Type 2 diabetes mellitus (T2DM) can cause multi-organ complications, particularly in the liver, and Gegen Qinlian Decoction (GQD) shows promise in managing these issues according to modern Chinese medicine.
  • The study aimed to investigate how GQD improves liver injury in T2DM through various experimental methods including UPLC analysis and animal models.
  • Results indicated that GQD enhances liver function, reduces oxidative stress and lipid peroxidation, and alleviates iron overload, suggesting it helps protect against liver injury by inhibiting ferroptosis via Nrf2 modulation.
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Ethnopharmacological Relevance: Comus officinalis Sieb. et Zucc has significant neuroprotective activity and has been widely studied for its potential to improve cognitive function. Our team's previous research has found that loganin isolated from Comus officinalis has an antidepressant effect.

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Despite the widespread use of voriconazole in antifungal treatment, its high pharmacokinetic and pharmacodynamic variability may lead to suboptimal efficacy, especially in intensive care unit (ICU) patients. Machine learning (ML), an artificial intelligence modeling approach, is increasingly being applied to personalized medicine. The effectiveness of ML models for predicting voriconazole blood concentrations in ICU patients, compared to traditional population pharmacokinetics (popPK) models, has been uncertain until now.

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The elevated risk of cardiovascular disease (CVD) associated with inflammatory rheumatic diseases has long been recognized. Patients with established rheumatoid arthritis (RA) have a higher mortality rate compared to the general population due to abnormal platelet activation. Thymidine phosphorylase (TYMP) plays a crucial role in platelet activation and thrombosis, following bridging the link between RA and CVD.

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Background: This study investigated the association between photoreceptor structural restoration and visual function outcomes in patients undergoing surgery for closed macular holes (MHs). Using adaptive optics scanning laser ophthalmoscopy (AOSLO) and microperimetry, we aimed to provide a more detailed understanding of photoreceptor recovery and visual improvement in closed MHs.

Methods: We conducted a retrospective observational study of 31 eyes of 28 patients who underwent vitrectomy with internal limiting membrane (ILM) peeling to treat idiopathic MHs.

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