Publications by authors named "Simin Zhu"

Objective: Prenatal depression is a prevalent mental health challenge encountered during pregnancy and is notably associated with adverse maternal and neonatal outcomes. This study aimed to elucidate the likelihood and determinants of depressive symptoms among pregnant individuals in Beijing, thereby laying a foundational framework for the theoretical underpinning of prenatal screening and preemptive interventions for mental disorders.

Methods: The study dataset was derived from 4,564 pregnant individuals in Beijing utilizing a cross-sectional survey methodology.

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Background: Macrosomia presents significant risks to both maternal and neonatal health, however, accurate antenatal prediction remains a major challenge. This study aimed to develop machine learning approaches to enhance the prediction of fetal macrosomia at different stages of pregnancy.

Methods: This retrospective study involved 500 pregnant women who delivered singleton infants at Beijing Tsinghua Changgung Hospital between December 2019 and July 2024.

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Purpose: To develop a deep learning (DL) model for obstructive sleep apnea (OSA) detection and severity assessment and provide a new approach for convenient, economical, and accurate disease detection.

Methods: Considering medical reliability and acquisition simplicity, we used electrocardiogram (ECG) and oxygen saturation (SpO) signals to develop a multimodal signal fusion multiscale Transformer model for OSA detection and severity assessment. The proposed model comprises signal preprocessing, feature extraction, cross-modal interaction, and classification modules.

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Fibroblast-mediated oxidative stress is a pivotal factor in the pathogenesis of skin photoaging, predominantly induced by UVA radiation. Diverging from traditional strategies that concentrate on the reduction of reactive oxygen species (ROS), the present study implements mitochondrial transplantation as an innovative therapeutic approach. The objective of this study is to reestablish the oxidative microenvironment and to effectively rejuvenate cellular functionality through the direct introduction of healthy and vibrant mitochondria.

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Purpose: Aimed to analyze the developmental characteristics of craniofacial structures and soft tissues in children with obstructive sleep apnea (OSA) and to establish and evaluate prediction model.

Methods: It's a retrospective study comprising 747 children aged 2-12 years (337 patients and 410 controls) visited the Department of Otolaryngology-Head and Neck Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University (July 2017 to March 2024). Lateral head radiographs were obtained to compare the cephalometric measurements.

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Unlabelled: To develop a nomogram model to predict obstructive sleep apnea in children and perform an external validation. 864 children who underwent polysomnography at our hospital were randomly assigned to a training cohort and an internal validation cohort (7:3) and 292 children at another hospital were enrolled for external validation. Logistic regression analyses were performed to explore the risk factors for obstructive sleep apnea.

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Previous research has established that the formation of Gardnerella vaginalis (GV) biofilm is one of the primary reasons for bacterial vaginosis (BV) recurrence. This study was the first to explore the impact of Streptococcus agalactiae (group B Streptococcus, GBS) on GV biofilm in a co-culture scenario. The results revealed that GBS could significantly increased the GV biomass in 48-hours dual-species biofilms.

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Introduction: GBS (group B streptococcus) is an opportunistic pathogen that can colonize healthy individuals but presents significant challenges in clinical obstetrics and gynecology, as it can cause miscarriage, preterm birth, and invasive infections in newborns. To develop specific and personalized preventative strategies, a better understanding of the epidemiological characteristics and pathogenic features of GBS is essential.

Methods: We conducted a comprehensive strain-level genomic analysis of GBS, examining serotype and genotype distributions, as well as the composition and correlations of virulence genes using the blastn-short mode of the BLAST program(v2.

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This study aimed to construct a risk prediction model for obstructive sleep apnea(OSA) related hypertension based on the nomogram, and to explore the independent risk factors for OSA-related hypertension, so as to provide reference for clinical treatment decision-making. The clinical data of OSA patients diagnosed by polysomnography from October 2019 to December 2021 were collected retrospectively and randomly divided into training sets and validation sets. A total of 1 493 OSA patients with 27 variables were included.

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Developing a convenient detection method is important for diagnosing and treating obstructive sleep apnea. Considering availability and medical reliability, we established a deep-learning model that uses single-lead electrocardiogram signals for obstructive sleep apnea detection and severity assessment. The detection model consisted of signal preprocessing, feature extraction, time-frequency domain information fusion, and classification segments.

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In addition to transmitting and carrying genetic information, RNA plays an important abiotic role in the world of nanomaterials. RNA is a natural polyanionic biomacromolecule, and its ability to promote osteogenesis by binding with other inorganic materials as an osteogenic induction agent was discovered only recently. However, whether it can promote osseointegration on implants has not been reported.

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Background: Myocarditis is a significant health threat today, with infectious agents being the most common cause. Accurate diagnosis of the etiology of infectious myocarditis is crucial for effective treatment.

Main Body: Infectious myocarditis can be caused by viruses, prokaryotes, parasites, and fungi.

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The establishment of an osseointegration is crucial for the long-term stability and functionality of implant materials, and early angiogenesis is the key to successful osseointegration. However, the bioinertness of titanium implants affects osseointegration, limiting their clinical application. In this study, inspired by the rapid polarization of macrophages following the phagocytosis of bacteria, we developed bacteroid cerium oxide particles; these particles were composed of CeO and had a size similar to that of Bacillus (0.

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Article Synopsis
  • Emergent airway issues can be life-threatening, and extracorporeal membrane oxygenation (ECMO) is an effective solution for managing these cases.
  • A study analyzed six patients who received veno-venous (VV) ECMO for airway management, with most successfully discharged after treatment lasting around 30.5 hours.
  • Establishing a standardized ECMO protocol and a rapid-response team is crucial, especially for cases of airway obstruction caused by hemorrhage, where a non-anticoagulant strategy can be beneficial.
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A novel type of three-dimensional network structure, covalent organic frameworks (COFs) aerogel, was fabricated and applied to dispersive solid-phase extraction (dSPE) of quinolone antibiotics (QAs). Density functional theory (DFT) was applied to investigate the possible interaction mechanism and results confirmed that the strong adsorption affinity is attributed to the intralayer hydrogen bonds and π-π interaction. Furthermore, a sensitive analytical method based on COFs-aerogel for determining quinolone antibiotics residues in water and honey samples was developed and HPLC-MS/MS was used for sample detection and quantification.

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Asthma is a heterogeneous airway disease characterized by airway inflammation and hyperresponsiveness. Autophagy is a self-degrading process that helps maintain cellular homeostasis. Dysregulation of autophagy is involved in the pathogenesis of many diseases.

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The stress shielding effect caused by traditional metal implants is circumvented by using polyetheretherketone (PEEK), due to its excellent mechanical properties; however, the biologically inert nature of PEEK limits its application. Endowing PEEK with biological activity to promote osseointegration would increase its applicability for bone replacement implants. A biomimetic study is performed, inspired by mineralized collagen fiber bundles that contact bone marrow mesenchymal stem cells (BMMSCs) on the native trabecular bone surface.

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Objective: To investigate the potential correlation of transforming growth factor-β (TGF-β), matrix metalloprotein 9 (MMP-9), tissue inhibitor of metalloproteinases 1 (TIMP-1), Interleukin 1 (IL-1), IL-4, IL-6, IL-17, and tumor necrosis factor alpha (TNF-α) in refractory chronic rhinosinusitis.

Methods: A total of 150 participants were retrospectively included in this study from August 2018 to February 2020. The people enrolled were equally allocated into refractory group (patients with refractory chronic rhinosinusitis), chronic group (patients with chronic rhinosinusitis), and control group (normal people).

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The effect of an external electric field on the crystal and electronic structures, Hirshfeld surfaces, hydrogen-bonding network, mechanical properties, vibrational properties and initial decomposition mechanisms of a series of chain-catenated N ( = 4, 8, 10) energetic crystals was investigated a first-principles study. The results indicate that the response behaviors to the external electric field show a great dependence on the nitrogen chain length and the intensity of the external electric field. The critical points of the phase transition were found and are embodied in various properties of all the compounds.

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Functional groups modified metal-organic frameworks (MOFs) was synthesized via a pre-tailor method and served as an adsorbent for perfluorooctanoic acid (PFOA) removal. The material was characterized using Fourier transform infrared spectroscopy, scanning electron microscopy, X-ray diffraction and N sorption-desorption. Monte Carlo simulation and molecular dynamics are derived to predict the possible molecular packing and adsorption mechanism.

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In this study, the expression of PTAR in cervical cancer tissues and cells was quantified by real-time PCR. Then, the roles of PTAR in HeLa cell proliferation and cell cycle were analyzed by a CCK-8 assay and flow cytometry, respectively.The effects of PTAR on cell migration and invasion were checked by Transwell and wound healing assays.

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Thermoresponsive metal-organic nanotube modified (MONT-pNIPAM, pNIPAM = poly N-isopropylacrylamide) sponge was synthesized using the dip-coating method and served as an adsorbent for endocrine-disrupting compounds (EDCs) and pharmaceuticals/personal care products (PPCPs) removal. The material was characterized using Fourier transform infrared spectroscopy, scanning electron microscopy, X-ray diffraction, and N sorption-desorption. Nonlinear regression-based equations were derived to optimize pH and ionic strength during process.

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Several randomised controlled trials (RCTs) have evaluated the risk of hyperkalemia of antihypertensive drugs on diabetic nephropathy, yet the results are conflicting. We searched MEDLINE, Embase, The Cochrane Library, and Web of Science for RCTs investigating the risk of antihypertensive drugs on hyperkalemia in diabetic nephropathy from inception to May 31, 2020. Direct comparative meta-analysis showed that the proportion of patients with hyperkalemia was significantly higher in the ARB, aldosterone antagonist, renin inhibitor group than in the placebo group.

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This study was designed to investigate the effect of Gegen Qinlian(GGQL) Decoction and its different compatibility groups on gut microbiota in rats with acute enteritis, and to explore the efficacy of GGQL Decoction in improving acute enteritis and gut microbiota. Male SD rats were randomly divided into control group, model group, positive control group(SASP), GGQL decoction group, Glycyrrhizae-free group(QGC), Puerariae-free group(QGG), Qinlian-free group(QQL), and Qinlian group(QL). The pathological sections and detection indexes of the rats were observed before and after modeling and administration.

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