Publications by authors named "Weijie Xu"

Hexavalent chromium (Cr(VI)) contamination in soil presents significant risks due to its high toxicity to both the environment and human health. Renewable, low-cost natural materials offer promising solutions for Cr(VI) reduction and soil remediation. However, the effects of unmodified tea leaves and tea-derived biochar on chromium-contaminated soils remain inadequately understood.

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Type 2 diabetes mellitus (T2DM), accounting for the majority of diabetes mellitus prevalence, is associated with an increased risk of cognition decline and deterioration of cognition function in diabetic patients. The sodium-glucose cotransporter 2 (SGLT2), located in the renal proximal tubule, plays a role in urine glucose reabsorption. SGLT2 inhibitors (SGLT2i), have shown potential benefits beyond cardiac and renal improvement in preventing and treating cognitive impairment (CI), including mild cognitive impairment, Alzheimer's disease and vascular dementia in T2DM patients.

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Cognitive impairment is a significant complication of type 2 diabetes mellitus (T2DM). However, the mechanisms underlying the development of cognitive dysfunction in individuals with T2DM remain elusive. Herein, we discussed the role of Bmal1, a core circadian rhythm-regulating gene, in the process of T2DM-associated cognitive dysfunction.

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Testicular ageing is accompanied by a series of morphological changes, while the features of mitochondrial dysfunction remain largely unknown. Herein, we observed a range of age-related modifications in testicular morphology and spermatogenic cells, and conducted single-cell RNA sequencing on young and old testes in Drosophila. Pseudotime trajectory revealed significant changes in germline subpopulations during ageing.

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Introduction: Tomato () is a highly valuable fruit crop. However, due to the lack of scientific and accurate variety identification methods and unified national standards, production management is scattered and non-standard, resulting in mixed varieties. This poses considerable difficulties for the cataloging and preservation of germplasm resources as well as the identification, promotion, and application of new tomato varieties.

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Mounting evidence strongly indicates that exosomes are pivotal in the advancement of cancer, yet the overarching profile of exosomal proteins and their contribution to lung adenocarcinoma (LUAD) progression remain underexplored. In our investigation, we isolated exosomes from treatment-naive LUAD (n = 20) and paired normal adjacent tissues (NATs), and conducted integrated proteomic on the acquired exosomes and source tissues to ascertain origin characteristics and potential therapeutic targets of the exosomal proteins in LUAD. The omics data revealed the overall landscape of exosomal proteins from tissues in LUAD, underscoring the profound linkage between exosomal proteins and tumor metastasis.

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In recent years, the prevalence of metabolic diseases has increased significantly, posing a serious threat to global health. Chronic low-grade inflammation is implicated in the development of most metabolic diseases, such as type 2 diabetes mellitus (T2DM), obesity, dyslipidemia, and cardiovascular disease, serving as a link between diet and these conditions. Increasing attention has been directly toward dietary inflammatory patterns that may prevent or ameliorate metabolic diseases.

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Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, underscoring an urgent need for strategies that enable early detection and phenotypic classification. Here, we conducted a label-free surface-enhanced Raman spectroscopic (SERS) analysis of serum exosomes from 643 participants to elucidate the biochemical deregulation associated with LC progression and the unique phenotypes of different LC subtypes. Iodide-modified silver nanofilms were prepared to rapidly acquire SERS spectra with a high signal-to-noise ratio using 0.

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Article Synopsis
  • Antidiabetic medication regimens are key for managing Type 2 diabetes (T2DM) and can impact cognitive function, especially in patients with mild cognitive impairment (MCI).
  • The study involved 364 inpatients with T2DM, assessing medication adherence and cognitive function using specific scales during hospitalization and a follow-up after three months.
  • Findings showed that patients with high medication adjustments experienced worse medication adherence and glycemic control, while those with low adjustments had better outcomes, highlighting the importance of considering cognitive status in treatment plans.
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Article Synopsis
  • Cognitive impairment is common in type 2 diabetes and influenced by dietary patterns, especially the effects of high-carbohydrate diets (HCDs) on cognitive function, which are still not fully understood.
  • A study on diabetic and wild-type mice found that HCDs worsened cognitive decline in diabetic mice, increasing the burden of amyloid-β, promoting tau protein phosphorylation, and causing neuroinflammation.
  • The research suggests that a high carbohydrate intake negatively affects cognitive function in diabetes, although the damages are less severe compared to those from high-fat diets.
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Objective: Schizophrenia (SCZ) is a globally prevalent, severe chronic mental disorder, with cognitive dysfunction being one of its core symptoms. Notably, overweight is exceedingly common among individuals with SCZ, and overweight can also impact cognitive function. Therefore, the relationship between overweight and cognition in SCZ is a clinical issue that is in need of research attention.

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Recent progress in metagratings highlights the promise of high-performance wavefront engineering devices, notably for their exterior capability to steer beams with near-unitary efficiency. However, the narrow operating bandwidth of conventional metagratings remains a significant limitation. Here, we propose and experimentally demonstrate a dual-layer metagrating, incorporating enhanced interlayer couplings to realize high-efficiency and broadband anomalous reflection within the microwave frequency band.

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Article Synopsis
  • * Pre- and post-BPA serum samples from five CTEPH patients showed significantly higher levels of asialoglycoprotein receptor 2 (ASGR2) before the procedure, which decreased significantly after BPA.
  • * Associations were found between ASGR2 levels and various clinical parameters before and after the BPA, indicating its potential as a biochemical marker for evaluating treatment effectiveness in CTEPH patients.
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Following the publication of the above article, an interested reader drew to the attention of the Editorial Office that, in Fig. 3A on p. 530, two pairs of data panels were overlapping, such that certain of the panels appeared to have been derived from the same original sources where the results from differently performed experiments were intended to have been portrayed.

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The plant cell wall is a dynamic structure that plays an essential role in development, but the mechanism regulating cell wall formation remains poorly understood. We demonstrate that two transcription factors, SlERF.H5 and SlERF.

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Carotenoids are important nutrients for human health that must be obtained from plants since they cannot be biosynthesized by the human body. Dissecting the regulatory mechanism of carotenoid metabolism in plants represents the first step toward manipulating carotenoid contents in plants by molecular design breeding. In this study, we determined that SlAP2c, an APETALA2 (AP2) family member, acts as a transcriptional repressor to regulate carotenoid biosynthesis in tomato (Solanum lycopersicum).

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Craniofacial microsomia (CFM) is a congenital defect that usually results from aberrant development of embryonic pharyngeal arches. However, the molecular basis of CFM pathogenesis is largely unknown. Here, we employ the zebrafish model to investigate mechanisms of CFM pathogenesis.

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Plants trigger a robust immune response by activating massive transcriptome reprogramming through crosstalk between PTI and ETI. However, how PTI and ETI contribute to the quantitative or/and qualitative output of immunity and how they work together when both are being activated were unclear. In this study, we performed a comprehensive overview of pathogen-triggered transcriptomic reprogramming by analyzing temporal changes in the transcriptome up to 144 h after Colletotrichum gloeosporioides inoculated in Populus.

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As a flavonoid compound, kaempferol has great potential in anti-lung cancer therapy, but the mechanism of its therapeutic effect needs further exploration. To explore the therapeutic effect of kaempferol on lung cancer, as well as its capability to regulate the gut microbiota and stimulate immune function. Materials & methods: Twenty-four BALB/c mice were divided into four groups.

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Biochar is an eco-friendly amendment for the remediation of soils contaminated with cadmium (Cd). However, little attention has been paid to the influence and underlying mechanisms of the co-pyrolyzed biochar on the bioavailability and uptake of Cd in paddy soils. The current study explored the effects of biochar co-pyrolyzed from peanut shells (P) and maize straw (M) at different mixing ratios (1:0, 1:1, 1:2, 1:3, 0:1, 2:1 and 3:1, w/w), on the bacterial community and Cd fractionation in paddy soil, and its uptake by rice plant.

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Multilayer metagratings have strong wavefront manipulation capabilities and find important applications in beam splitters. Traditional methods rely on the phase gradient design of generalized Snell's law, which can achieve highly efficient beam splitters with uniform energy distribution. However, designing arbitrary energy distributions in different channels under two orthogonal polarizations remains a challenge because it requires more complex structures to modulate the energy flow.

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As a vital pest control strategy, trapping plays an important role in the system of monitoring, catching and killing fruit flies. Cuelure (4-(4-acetoxyphenyl)-2-butanone, CL) is a male lure that attracts and also stimulates feeding in this species. In this study, the attraction of to CL and its subsequent feeding behavior were investigated.

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Structural vibration identification is an important task in civil engineering that is based on processing measured data from structural monitoring. However, predicting the response at unsensed locations based on limited sensor data can be challenging. Deep learning (DL) methods have shown promise in vibration data feature extraction and generation, but they struggle to capture the underlying physics laws and dynamic equations that govern vibration identification.

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