Publications by authors named "Gongfei Li"

Purpose: This study aims to explore the relationship between autoimmune rheumatic diseases (ARDs) and the risk of iridocyclitis (IC) using Mendelian randomization (MR) analysis.

Methods: Data of ankylosing spondylitis (AS), systemic lupus erythematosus (SLE), juvenile idiopathic arthritis (JIA), Behcet's disease (BD), and iridocyclitis were obtained from genome-wide association studies with large sample sizes. The instrumental variable utilized in this study for each exposure was the single nucleotide polymorphism.

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Aim: To conduct a bibliometric analysis of studies on microphthalmos and anophthalmos (M/A), explore research hotspots, and provide information on future research interests in this field to benefit clinicians and researchers.

Methods: Totally 751 publications related to M/A from the year 2004 to 2023 were collected from the Web of Science Core Collection database. These publications consist of both original and review articles, that are composed in English.

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Purpose: This study aims to analyze the literature on periocular basal cell carcinoma, identify research trends, and offer insights into future research areas in this field to assist clinicians and researchers.

Methods: 903 publications on periocular basal cell carcinoma were collected from the Web of Science Core Collection database. We assessed the contributions from various countries, institutions, journals, and authors, and performed network analysis using Excel, VOSviewer, and R Studio to represent the prominent areas of research visually.

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Introduction: Asthma is associated with upper airway diseases and allergic diseases; however, the causal effects need to be investigated further. Thus, we performed this two-sample Mendelian randomization (MR) analysis to explore and measure the causal effects of asthma on allergic rhinitis (AR), vasomotor rhinitis (VMR), allergic conjunctivitis (AC), atopic dermatitis (AD), and allergic urticaria (AU).

Methods: The data for asthma, AR, VMR, AC, AD, and AU were obtained from large-scale genome-wide association studies summarized recently.

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This study aims to establish a random forest model for detecting the severity of Graves Orbitopathy (GO) and identify significant classification factors. This is a hospital-based study of 199 patients with GO that were collected between December 2019 and February 2022. Clinical information was collected from medical records.

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Background: About 60% of autoimmune encephalitis (AE) patients present psychiatric symptoms, but the underlying mechanism remains unknown. This study examined the role of the cingulate cortex in such patients to identify predictive poor psychiatric factors.

Methods: In this study, 49 AE patients and 39 healthy controls were enrolled.

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Background: This study aims to explore the relationship between psychiatric disorders and the risk of epilepsy using Mendelian randomization (MR) analysis.

Methods: We collected summary statistics of seven psychiatric traits from recent largest genome-wide association study (GWAS), including major depressive disorder (MDD), anxiety disorder, autism spectrum disorder (ASD), bipolar disorder (BIP), attention deficit hyperactivity disorder (ADHD), schizophrenia (SCZ), and insomnia. Then, MR analysis estimates were performed based on International League Against Epilepsy (ILAE) consortium data (n  = 15,212 and n  = 29,677), the results of which were subsequently validated in FinnGen consortium (n  = 6260 and n  = 176,107).

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Introduction: Observational studies have reported that allergic rhinitis (AR) was associated with chronic lower respiratory diseases (CLRDs) and lung function; however, their causal effects remain elusive. Therefore, to investigate the causal effects of AR on CLRDs and lung function, we conducted the two-sample Mendelian randomization (MR) study.

Methods: The data for AR, asthma, chronic obstructive pulmonary disease (COPD), bronchiectasis, idiopathic pulmonary fibrosis (IPF), and the forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) ratio were obtained from genome-wide association studies, which were large sample studies on people of European ancestry.

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Article Synopsis
  • The study investigated the causal relationships between smoking, alcohol consumption, allergic rhinitis (AR), asthma, obesity, and chronic rhinosinusitis (CRS) using a method called Mendelian randomization.
  • It analyzed data from large genome-wide studies and revealed significant causal effects of daily cigarette consumption, AR, asthma, and body mass index (BMI) on CRS, as well as CRS's influence on asthma.
  • The findings suggest that smoking, AR, asthma, and BMI play a role in developing CRS, while age of smoking initiation and weekly alcohol consumption did not show a causal link with CRS.
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This study aimed to investigate prognostic significance and brain metabolic mechanism of hyponatremia in anti-leucine-rich glioma-inactivated protein 1 (LGI1) encephalitis. After adjusting for confounders, patients with moderate and severe hyponatremia had significantly increased risk of poor functional outcome and sequelae of seizures. In addition, serum sodium was negatively correlated with normalized ratio of the standardized uptake value of medial temporal lobe (MTL), basal ganglia (BG), and hypothalamus on positron emission tomography (PET) and which was further validated using voxel-wise analysis, suggesting an extra-hypothalamus (BG and MTL) localization for hyponatremia.

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F-fluoro-deoxyglucose position emission tomography ( F-FDG-PET) has been proven as a sensitive and reliable tool for diagnosis of autoimmune encephalitis (AE). More attention was paid to this kind of imaging because of the shortage of MRI, EEG, and CSF findings. FDG-PET has been assessed in a few small studies and case reports showing apparent abnormalities in cases where MRI does not.

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Objectives: To establish a model in order to predict the functional outcomes of patients with anti-leucine-rich glioma-inactivated 1 (LGI1) encephalitis and identify significant predictive factors using a random forest algorithm.

Methods: Seventy-nine patients with confirmed LGI1 antibodies were retrospectively reviewed between January 2015 and July 2020. Clinical information was obtained from medical records and functional outcomes were followed up in interviews with patients or their relatives.

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Aims: To identify the metabolic pattern and prognostic predictors in anti-gamma-aminobutyric-acid B (GABAB) receptor encephalitis using F-fluorodeoxy-glucose positron emission tomography ( F-FDG-PET).

Methods: Twenty-one patients diagnosed anti-GABAB receptor encephalitis who underwent F-FDG-PET at first hospitalization were retrospectively reviewed. F-FDG-PET images were analyzed in comparison with controls.

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