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Articles by Haiyang Jiang
Postoperative remodeling and developmental improvement of femoral trochlear dysplasia in pediatric habitual patellar dislocation
Abstract Background: Trochlear dysplasia (TD) is a major contributor to habitual patellar dislocation (HPD). However, studies on femoral trochlear remodeling after HPD surgery in children under 10 years old are limited and have small sample sizes. Purpose: This study evaluated postoperative improvements in trochlear morphology and identified factors associated with trochlear development in surgically treated children <10 years old with HPD.
Aquaporin 1 confers apoptosis resistance in pulmonary arterial smooth muscle cells from the SU5416 hypoxia rat model
1 INTRODUCTION Pulmonary arterial hypertension (PAH) is a life-threatening condition that can arise from various etiologies. Regardless of the inciting cause, increased pulmonary vascular resistance due to contraction and remodeling of the pulmonary arteries leads to increased afterload on the right ventricle, ultimately resulting in right ventricular failure.
MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification
Abstract The spread of cancer cells from the primary tumor to distant anatomical sites, known as tumor metastasis, poses a significant challenge in clinical prognosis, impairing treatment efficacy and reducing patient survival time. Current methods for predicting and diagnosing tumor metastasis rely heavily on extensive examinations and subjective clinical judgments.
Identification of prostate cancer bone metastasis related genes and potential therapy targets by bioinformatics and in vitro experiments
1 INTRODUCTION Prostate cancer (PCa) has emerged as the most prevalent malignancy in males and the second leading cause of cancer-related deaths among men.1 Although localized PCa is often curable, the number of patients initially diagnosed at a metastatic stage has increased significantly in the last decade.2 Metastasis, particularly in the bones, represents a major cause of mortality in patients with PCa,3 affecting approximately 70%–90% of those with advanced disease.
MetaGXplore: Integrating Multi-Omics Data with Graph Convolutional Networks for Pan-cancer Patient Metastasis Identification
Abstract Tumor metastasis, the spread of cancer cells from the primary tumor to distant anatomical sites, poses a significant challenge in clinical prognosis, impairing treatment efficacy and reducing patient survival time. Current methods for predicting and diagnosing tumor metastasis rely heavily on extensive examinations and subjective clinical judgments, introducing considerable uncertainty and inefficiency.
A Finger Vein Liveness Detection System Based on Multi-Scale Spatial-Temporal Map and Light-ViT Model
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Dynamic multicolor luminescent anti-counterfeiting based on spiropyran-engineered gold nanoclusters
Counterfeiting of food, drugs, electronic products and other commodities not only poses serious health risks to consumers, but also causes significant economic losses and adverse social problems [1], [2], [3], [4], [5], [6]. Amongst various anti-counterfeiting techniques, luminescent anti-counterfeiting has the advantages of safety, easy operation and adjustable optical characteristics due to the use of non-invasive, controllable optical decryption mode [7], [8], [9], [10], [11], [12].
Immunoassays and Emerging Analytical Techniques of Fipronil and its Metabolites for Food Safety: A Review
Fipronil, classified as a phenylpyrazole insecticide, is utilized to control agricultural, public health, and veterinary pests. Notably, its unique ecological fate involves degradation to toxic metabolites, which poses the risk of contamination in water and foodstuffs and potential human exposure through the food chain. In response to these concerns, there is a pressing need to develop analytical methodologies for detecting fipronil and its metabolites.
Aquaporin 1 confers apoptosis resistance in pulmonary arterial smooth muscle cells from the SU5416 hypoxia rat model
Abstract Pulmonary arterial hypertension (PAH) is a deadly condition that arises from increased pulmonary vascular resistance due to contraction and remodeling of the pulmonary arteries. The structural changes that occur in the pulmonary arteries include thickening of the medial (smooth muscle) layer resulting from increased proliferation and resistance to apoptosis. The mechanisms underlying apoptosis resistance in PAH are not fully understood.
Histone Deacetylase 4 Inhibition Reduces Rotenone-Induced Alpha-Synuclein Accumulation via Autophagy in SH-SY5Y Cells
Abstract : (1) Background: Parkinson’s disease (PD) is the most common movement disorder. Imbalanced protein homeostasis and α-syn aggregation are involved in PD pathogenesis. Autophagy is related to the occurrence and development of PD and can be regulated by histone deacetylases (HDACs). Various inhibitors of HDACs exert neuroprotective effects within in vitro and in vivo models of PD.
4-octyl itaconate as a metabolite derivative inhibits inflammation via alkylation of STING
Method details Histological analysis Fresh small intestine samples were fixed in 4% paraformaldehyde for histological purposes. The intestinal tissue was dried in ethanol, embedded in paraffin, and stained with hematoxylin and eosin (H&E). Chui’s grading system was used to assess the intestinal injuries. Chiu standard score for intestinal mucosal damage.1, intestinal villi that are normal. 2, The villi’s tip has a submucosal gap and capillary congestion.
Sustainability | Free Full-Text | Geothermal Characteristics and Productivity Potential of a Super-Thick Shallow Granite-Type Enhanced Geothermal System: A Case Study in Wendeng Geothermal Field, China
Abstract : Super-thick shallow granites without a cap layer are widely distributed in the Wendeng geothermal field. To evaluate the field’s productivity potential for an enhanced geothermal system (EGS), we carried out field tests, laboratory tests and numerical simulations in succession. The geothermal characteristics and deep rock mechanical properties were identified based on real geological and core data from the borehole ZK1 in Wendeng geothermal field.
Dynamic physiological α-synuclein S129 phosphorylation is driven by neuronal activity - npj Parkinson's Disease
Abstract In Parkinson’s disease and other synucleinopathies, the elevation of α-synuclein phosphorylated at Serine129 (pS129) is a widely cited marker of pathology. However, the physiological role for pS129 has remained undefined. Here we use multiple approaches to show for the first time that pS129 functions as a physiological regulator of neuronal activity. Neuronal activity triggers a sustained increase of pS129 in cultured neurons (200% within 4 h).
Altered conformation of α-synuclein drives dysfunction of synaptic vesicles in a synaptosomal model of Parkinson’s disease
Highlights • Mutations in αSyn affect the biochemistry, architecture, and function of synapses • In-cell NMR reveals αSyn’s participation in transient interactions at synapses • αSyn-synapse interactions depend on the integrity of synaptic components • The 3K mutation in αSyn reduces its ability to participate in synaptic interactions Summary While misfolding of alpha-synuclein (αSyn) is central to the pathogenesis of Parkinson’s disease (PD), fundamental questions about its structure and...
An Immunoaffinity Purification Method for the Simultaneous Analysis of Triclocarban and Triclosan in Foodstuffs by Liquid Chromatography Tandem Mass Spectrometry
Triclocarban (TCC) and triclosan (TCS) have been simultaneously detected in five kinds of foodstuffs using an immunoaffinity purification method coupled with ultrahigh-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) for the first time. Two highly specific monoclonal antibodies against TCC and TCS were produced and coupled to N-hydroxysuccinimide-activated Sepharose 6B gel to prepare the immunosorbent.
Exosomes from patients with Parkinson’s disease are pathological in mice
Authors Authors and affiliations Chao Han Nian Xiong Xingfang Guo Jinsha Huang Kai Ma Ling Liu Yun Xia Yan Shen Jie Li Haiyang Jiang Luxi Wang Shiyi Guo Xiaoyun Xu Guoxin Zhang Jingyu Liu Xuebing Cao Zhentao Zhang Zhicheng Lin Tao Wang Original Article First Online: 13 July 2019 Abstract Cell-to-cell transport of risk molecules is a highly anticipated pathogenic mechanism in the initiation and progression of various neurodegenerative diseases.
E46K-like α-synuclein mutants increase lipid interactions and disrupt membrane selectivity
Matteo Rovere‡, Alex E. Powers‡, Haiyang Jiang‡1, Julia C. Pitino‡1, Luis Fonseca-Ornelas‡, Dushyant S.
E46K-like α-synuclein mutants increase lipid interactions and disrupt membrane selectivity
Matteo Rovere‡, Alex E. Powers‡, Haiyang Jiang‡1, Julia C. Pitino‡1, Luis Fonseca-Ornelas‡, Dushyant S.
E46K-like α-synuclein mutants increase lipid interactions and disrupt membrane selectivity
Author contributions: M.R., A.E.P., H.J., J.C.P., L.F.-O., and D.S.P. data curation; M.R., A.E.P., H.J., J.C.P., L.F.-O., A.A., R.L., J.V., and T.B. formal analysis; M.R., A.E.P., H.J., J.C.P., L.F.-O., and D.S.P. investigation; M.R., A.E.P., H.J., J.C.P., L.F.-O., and A.A. visualization; M.R., J.V., and T.B. writing-original draft; M.R., A.E.P., H.J., J.C.P., L.F.-O., D.S.P., A.A., R.L., J.V., and T.B. writing-review and editing; D.S.P. validation; D.S.P. methodology; A.A. software; R.L.,...
Machine learning approaches for predicting progression in hormone-sensitive prostate cancer patients
Introduction Prostate cancer ranks as the second most common malignancy in men worldwide, after lung cancer (1). Prognostic indicators such as Gleason score, prostate−specific antigen (PSA), and other serum markers have been shown to play important roles in assessing outcomes for prostate cancer patients (2). For instance, Ali Amin et al. (3) reported that a Gleason score of 4 + 3 = 7 is associated with an elevated risk of biochemical progression after radical prostatectomy.
Preliminary Exploration on Short-Term Prediction of Local Geomagnetically Induced Currents Using Hybrid Neural Networks
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 31 October 2024 / Approved: 31 October 2024 / Online: 1 November 2024 (01:44:29 CET) Fang, Y.; Liu, J.; Jiang, H.; Chen, W. Preliminary Exploration on Short-Term Prediction of Local Geomagnetically Induced Currents Using Hybrid Neural Networks. Preprints 2024, 2024102548. https://doi.org/10.20944/preprints202410.2548.v1 Fang, Y.; Liu, J.; Jiang, H.; Chen, W.
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