Publications by authors named "Jun Tai"

Adenoid hypertrophy is one of the most common upper respiratory tract disorders during childhood, leading to a range of symptoms such as nasal congestion, mouth breathing and obstructive sleep apnea. Current diagnostic methods, including computerized tomography scans and nasal endoscopy, are invasive or involve ionizing radiation, rendering them unsuitable for long-term assessments. To address these clinical challenges, this paper proposes a novel deep learning approach for the non-invasive detection of adenoid hypertrophy using heartlung sounds.

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Background: Sleep disturbances are associated with poor health outcomes in children. However, the sleep problems that occur in children's growth and metabolism need to be further studied. The aim of the present study was to assess the effects of sleep habits on the growth and metabolism in school-aged children.

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(, Hi) is an opportunistic bacterium that colonizes the upper respiratory tract of humans and frequently causes meningitis, pneumonia, sepsis, and other severe infections in children. Early and accurate detection of is essential for effective diagnosis and treatment. In this study, we established a novel diagnostic method by integrating the CRISPR-Cas12a detection platform with multiple cross-displacement amplification (MCDA), termed the Hi-MCDA-CRISPR assay.

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Diurnal and nocturnal mammals have evolved unique behavioral and physiological adaptations to optimize survival for their day- or night-active lifestyle. The mechanisms underlying the opposite activity patterns are not fully understood but likely involve the interplay between the circadian time-keeping system and various arousal- or sleep-promoting factors, e.g.

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Wide commercial applications of chitosan in food preservation and green packaging fields inevitably lead to the universal existence in food, as well as the food waste (FW) processing system. However, whether and how the chitosan, a class of biomacromolecule substances, lead to dysfunction of anaerobic digestion (AD) process of FW remains less understood. Herein, chitosan exhibited an inhibition-and-relief effect with the AD process proceeding, and 80 mg/g-FW of chitosan decreased the net methane yield of FW by 24.

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Paediatric obstructive sleep apnoea (OSA) is a highly prevalent sleep disorder resulting in chronic intermittent hypoxia (CIH) that has been linked to metabolism and endocrine impairment. Protein acetylation, which is a frequently occurring posttranslational modification, plays pivotal roles in the regulation of hypothalamic processes. However, the effects of CIH-induced global protein acetylation on hypothalamic function and endocrine metabolism remain poorly understood.

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Background: Obstructive sleep apnoea (OSA) is a sleep-disordered breathing characterized by intermittent hypoxia (IH) that may cause cognitive dysfunction. However, the impact of IH on molecular processes involved in cognitive function remains unclear.

Methods: C57BL / 6 J mice were exposed to either normoxia (control) or IH for 6 weeks.

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Background: Alterations gastrointestinal diseases (GDs) were reported in individuals with obstructive sleep apnea (OSA), however, the genetic background between OSA and GDs is still unclear.

Methods: This investigation employed Mendelian randomization (MR) analyses to evaluate the causal effect between OSA and 19 types of GDs (gastroesophageal reflux disease (GERD), ulcerative colitis, celiac disease, Crohn's disease, chronic gastritis, irritable bowel syndrome, primary biliary cholangitis, diverticular disease, gastroduodenal ulcer, acute pancreatitis, non-alcoholic fatty liver disease, primary sclerosing cholangitis, cirrhosis, calculus of bile duct, calculus of gallbladder, pancreatic cancer, gastric cancer, colorectal cancer, and esophageal cancer). The inverse-variance weighted (IVW) method was used to evaluate the main effects model of causality.

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The objective of this study is to explore the associations between obesity, body composition, and the self-reported risk of obstructive sleep apnea (OSA) and to examine whether the risk of OSA is related to metabolic abnormalities in children and adolescents aged 6-17 years. Utilizing data from the 2022 to 2023 Beijing Children and Adolescents Health Cohort baseline survey, 5000 school-aged participants were analyzed. OSA risk was assessed via the Pediatric Sleep Questionnaire, with anthropometric and body composition measurements taken.

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Objectives: To investigate the efficacy and safety of carbon dioxide (CO) laser cauterization in the treatment of pediatric congenital pyriform sinus fistula (CPSF), and to track and follow up the long-term outcome of the postoperative patients.

Methods: This retrospective study was conducted at a single center, where clinical data and follow-up information of children with CPSF who underwent CO laser cauterization with the assistance of a suspension laryngoscope and microscope were collected and analyzed their clinical characteristics and prognosis. Subsequently, multiple logistic regression analysis was performed to identify potential predictors of the number of laser cauterization procedures.

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Objective: The objective of this study was to investigate the effectiveness of a machine learning algorithm in diagnosing OSA in children based on clinical features that can be obtained in nonnocturnal and nonmedical environments.

Patients And Methods: This study was conducted at Beijing Children's Hospital from April 2018 to October 2019. The participants in this study were 2464 children aged 3-18 suspected of having OSA who underwent clinical data collection and polysomnography(PSG).

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Article Synopsis
  • - Epstein-Barr virus (EBV) is a globally widespread virus linked to nasopharyngeal cancer (NPC), and analyzing plasma EBV DNA can help with early detection and treatment monitoring of NPC.
  • - The study introduces a new diagnostic method called EBV-MCDA-LFB, which combines molecular amplification with a simple lateral flow readout for rapid and specific EBV detection, utilizing ten specially designed primers.
  • - Results showed that the EBV-MCDA-LFB method is highly sensitive (detecting as few as 7 copies of the virus) and specific, with a total testing time of about 60 minutes, making it convenient for use in resource-limited areas with high EBV prevalence.
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Article Synopsis
  • Increased chemical production poses ecological health risks, and traditional assessment methods struggle to evaluate chronic toxicity effectively.
  • This study utilized machine learning (ML) to develop quantitative structure-activity relationship (QSAR) models that predict chronic toxicity in aquatic organisms based on molecular characteristics.
  • Results indicated that SlogP and exposure duration are key factors influencing toxicity, with the model being validated using bisphenol A, highlighting its robustness for assessing environmental pollution risks.
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Microcephaly-capillary malformation syndrome (MIC-CAP) and Mowat-Wilson syndrome (MWS) are both rare hereditary diseases with several overlapping symptoms. We here report a Chinese patient simultaneously affected by MIC-CAP and MWS, presenting with moderate anaemia because of repeated, unilateral refractory epistaxis. The girl was initially diagnosed with MWS after discovery of a pathogenic nonsense mutation in .

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Article Synopsis
  • Various studies show significant links between obstructive sleep apnea (OSA), gut microbiota, and related metabolites, but establishing causation is still ongoing.
  • Multiple Mendelian randomization analyses were conducted to explore the genetic impact of 196 gut microbiota and 83 metabolites on OSA, using methods like two-sample MR and multivariable MR for deeper insights.
  • The study found certain gut microbiota and metabolites that either increase or decrease OSA risk, suggesting the gut microbiome plays a crucial role in OSA development, which could lead to new prevention strategies.
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To assess the disruptions of brain white matter (WM) structural network in children with obstructive sleep apnea (OSA) using diffusion kurtosis imaging (DKI). We use DKI tractography to construct individual whole-brain, region-level WM networks in 40 OSA and 28 healthy children. Then, we apply graph theory approaches to analyze whether OSA children would show altered global and regional network topological properties and whether these alterations would significantly correlate with the clinical characteristics of OSA.

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Unraveling the molecular mechanisms for COVID-19-associated encephalopathy and its immunopathology is crucial for developing effective treatments. Here, we utilized single-cell transcriptomic analysis and integrated clinical observations and laboratory examination to dissect the host immune responses and reveal pathological mechanisms in COVID-19-associated pediatric encephalopathy. We found that lymphopenia was a prominent characteristic of immune perturbation in COVID-19 patients with encephalopathy, especially those with acute necrotizing encephalopathy (AE).

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Fe-mediated autotrophic denitrification (ADN) can be suppressed by iron oxide coverage resulting from Fe corrosion. The mixotrophic denitrification (MDN) coupling Fe-mediated ADN with heterotrophic denitrification (HDN) can circumvent the weakening of Fe-mediated ADN over operation time. But the interaction between HDN and Fe-mediated ADN for nitrogen removal of secondary effluent with deficient bioavailable organics remains unclear.

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Due to the far distance impact on resident, aquatic and soil ecosystem health, food waste disposal becomes the focus of municipal waste strategy in developing countries. Shanghai is a leading city in China, its evolution of food waste management can indicate the coming future of the nation. In this city, from 1986 to 2020, the open dumping, landfill and incineration of food waste had been gradually banned, replaced by centralized compost and anaerobic digestion and other recovery ways.

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Municipal solid waste management and disposal in China have significantly evolved since 2000. Due to China's vast land area and significant socioeconomic and geographic disparities, nationwide waste management strategies need to be further evaluated. This study quantified the effect of social, economic, and geographic drivers on municipal waste disposal activities in 31 provincial-level administrative regions from 2003 to 2020, by establishing a methodology integrated by two-way fixed effects regression model, panel random forest, and spatial Durbin model.

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Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb) infection, is currently the deadliest infectious disease in human that can evolve to severe forms. A comprehensive immune landscape for Mtb infection is critical for achieving TB cure, especially for severe TB patients. We performed single-cell RNA transcriptome and T-cell/B-cell receptor (TCR/BCR) sequencing of 213,358 cells from 27 samples, including 6 healthy donors and 21 active TB patients with varying severity (6 mild, 6 moderate and 9 severe cases).

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Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease with unclear etiology and limited treatment options. The median survival time for IPF patients is approximately 2-3 years and there is no effective intervention to treat IPF other than lung transplantation. As important components of lung tissue, endothelial cells (ECs) are associated with pulmonary diseases.

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Respiratory syncytial virus (RSV) is an important pathogen causing pneumonia in children. Few studies have used multi-omics data to investigate the pathogenies of RSV pneumonia. Here, metabolomics was first used to identify potential biomarkers for RSV diagnosis.

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Objective: Community-acquired pneumonia (CAP) is the primary cause of death for children under five years of age globally. Hence, it is essential to investigate new early biomarkers and potential mechanisms involved in disease severity.

Methods: Proteomics combined with metabolomics was performed to identify biomarkers suitable for early diagnosis of severe CAP.

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Sustainable management of household solid waste (HSW) is an essential step in realizing the development of a circular economy (CE). However, for many developing countries, HSW sorting is evolving incrementally, and focusing on the intervention role of policy and the sorting behaviour of residents can help achieve sustainable waste management. This study aims to investigate the main determinants of residents' HSW sorting behaviour and how policy particularly contributes to it.

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