Publications by authors named "Xiaowen Liang"

Alpha-1-antitrypsin (AAT), a circulating serine protease inhibitor, is an acute inflammatory response protein with anti-inflammatory functions. The C-terminal peptides of AAT are found in various tissues and have been proposed as putative bioactive peptides with multiple functions, but its mechanism of action remains unclear. We previously reported that a mouse AAT C-terminal peptide of 35 amino acids (mAAT-C) penetrates plasma membrane and associates guanine nucleotide-binding protein subunit alpha 13 (Gα13).

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  • - Therapeutic DNA cancer vaccines stimulate immune responses but often fall short in effectiveness; researchers found that manganese-doped silica nanoparticles (MSNA) can enhance these vaccines' performance.
  • - When combined with plasmid DNA encoding cancer antigens like α-fetoprotein, MSNA significantly increased specific immune responses in animal models, leading to better cancer immunity.
  • - The study showed that MSNA not only improved T cell responses against cancer but also successfully prevented tumor growth in models for both liver and HPV-related cancers.
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  • * AI's integration into IVF could lead to personalized treatments and higher success rates due to automation and standardization, but its use is still in early development with various challenges to address.
  • * Current applications of AI in IVF include follicular monitoring, oocyte assessment, embryo selection, and predicting pregnancy outcomes, highlighting the need for further research and comprehensive models to guide future progress.
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  • There is a shift towards using minimally invasive techniques for treating gynecological disorders, mainly due to their quick symptom relief, faster recovery, and lower risk of complications.
  • Thermal ablation methods like microwave and radiofrequency ablation are gaining attention for their effectiveness and potential to protect fertility while treating conditions like uterine fibroids and adenomyosis.
  • The review emphasizes the need for updated research to validate these methods, covering success rates and their impact on fertility, while also calling for more randomized trials to strengthen the evidence for their use.
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Pregnancy of unknown location (PUL) is a temporary pathologic or physiologic phenomenon of early pregnancy that requires follow up to determine the final pregnancy outcome. Evidence indicated that PUL patients suffer a remarkably higher rate of adverse pregnancy outcomes, represented by ectopic gestation and early pregnancy loss, than the general population. In the past few decades, discussion about PUL has never stopped, and a variety of markers have been widely investigated for the early and accurate evaluation of PUL, including serum biomarkers, ultrasound imaging features, multivariate analysis, and the diagnosis of ectopic pregnancy based on risk stratification.

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Tumor self-seeding is a process whereby circulating tumor cells (CTCs) recolonize the primary tumor, which promotes tumor growth, angiogenesis, and invasion. However, the detailed nature and functions of tumor self-seeded cells (TSCs) have not been well defined due to challenges in tracking and isolating TSCs. Here, we report an accurate animal model using photoconvertible tagging to recapitulate the spontaneous process of tumor self-seeding and identify TSCs as a subpopulation of primary tumor cells with enhanced invasiveness and survival.

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Allogeneic haematopoietic stem cell transplantation (allo-HSCT) can potentially cure malignant blood disorders and benign conditions such as haemoglobinopathies and immunologic diseases. However, allo-HSCT is associated with significant complications. The most common and debilitating among them is graft-versus-host disease (GVHD).

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  • Hybrid metal halide materials show interesting phase transition behaviors, primarily influenced by organic components; however, less focus has been on transitions driven by inorganic components.
  • The study introduces two new hybrid materials, [THPM][AgX], which feature unique structural differences in their anionic [AgX] chains, with [AgI] showing a significant phase transition upon heating.
  • The phase transition in [AgI] leads to remarkable mechanical properties, such as a high thermal expansion and potential use as a mechanical actuator, whereas [AgBr] does not exhibit any phase transition with temperature changes.
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is an imprinted tumor suppressor gene encoding a GTPase that has a distinctive N-terminal extension (NTE) not found in other RAS proteins. This NTE and the prenylated C-terminus are required for DIRAS3-mediated inhibition of RAS/MAP signaling and PI3K activity at the plasma membrane. In this study, we applied biochemical, biophysical, and computational methods to characterize the structure and function of the NTE.

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Background: The rupture and detachment of unstable plaques in the carotid artery can cause embolism in the cerebral artery, leading to acute cerebrovascular events. Intraplaque neovascularization (IPN) is a very important contributor to carotid plaque instability, and its evolution plays a key role in determining the outcome of vulnerable plaques. Ultrasound techniques, represented by contrast-enhanced ultrasound (CEUS) and superb microvascular imaging (SMI), are reported to be non-invasive, rapid, and effective techniques for the semi-quantitative or quantitative evaluation for IPN.

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Contrast-enhanced ultrasound (CEUS) is a dependable modality for the diagnosis of various clinical conditions. A judicious selection of ultrasound contrast agent (UCA) is imperative for optimizing imaging and improving diagnosis. Approved UCAs for imaging the majority of organs include SonoVue, a pure blood agent, and Sonazoid, which exhibits an additional Kupffer phase.

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Precise evaluation of endometrial injury is significant to clinical decision-making in gynecological disease and assisted reproductive technology. However, there is a lack of assessment methods for endometrium in vivo. In this research, we intend to develop quantitative imaging markers with optical coherence tomography (OCT)/ultrasound (US) integrated imaging system through intrauterine endoscopic imaging.

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Background: The development of artificial intelligence (AI) techniques has provided a novel strategy for improving the performance of renal ultrasound. To reflect the development of AI methods in renal ultrasound, we aimed to clarify and analyze the state of AI-aided ultrasound research in renal diseases.

Methods: PRISMA 2020 guidelines have been used to guide all processes and results.

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Research Question: Can a multi-modal fusion model based on ultrasound-based deep learning radiomics combined with clinical parameters provide personalized evaluation of endometrial receptivity and predict the occurrence of clinical pregnancy after frozen embryo transfer (FET)?

Design: Prospective cohort study of women (n = 326) who underwent FET between August 2019 and December 2021. Input quantitative variables and input image data for radiomic feature extraction were collected to establish a multi-modal fusion prediction model. An additional independent dataset of 453 ultrasound endometrial images was used to establish the segmentation model to determine the endometrial region on ultrasound images for analysis.

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We describe a small molecule ligand (2-hydroxy-5-{[(2-phenylcyclopropyl) carbonyl] amino} benzoic acid) as an initial lead for the development of direct inhibitors of KRAS, a notoriously difficult anticancer drug target. We show that the compound binds to KRAS near the switch regions with affinities in the low micromolar range and exerts different effects on KRAS interactions with binding partners. Specifically, impedes the interaction of KRAS with its effector Raf and reduces both intrinsic and SOS-mediated nucleotide exchange rates.

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Colored dissolved organic matter (CDOM) is highly spatiotemporally varied due to the effects of complex environmental factors within a catchment or system. The seasonal nutritional status and potential risks of heavy metals in the coastal rivers of the Liaohe River basin were evaluated based on 40 water samples in January, April, May, and September. Meanwhile, the effects of environmental factors on CDOM, especially human activities, were quantitatively analyzed.

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Research Question: Can a novel deep learning-based follicle volume biomarker using three-dimensional ultrasound (3D-US) be established to aid in the assessment of oocyte maturity, timing of HCG administration and the individual prediction of ovarian hyper-response?

Design: A total of 515 IVF cases were enrolled, and 3D-US scanning was carried out on HCG administration day. A follicle volume biomarker established by means of a deep learning-based segmentation algorithm was used to calculate optimal leading follicle volume for predicting number of mature oocytes retrieved and optimizing HCG trigger timing. Performance of the novel biomarker cut-off value was compared with conventional two-dimensional ultrasound (2D-US) follicular diameter measurements in assessing oocyte retrieval outcome.

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Therapeutic monoclonal antibodies directed against PD-L1 (e.g., atezolizumab) disrupt PD-L1:PD-1 signaling and reactivate exhausted cytotoxic T-cells in the tumor compartment.

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In this work, we report two supramolecular isomorphic dodecanuclear cobalt complexes, [Co()(L)(NO)(OH)(N)]·(OH) (1) and [Co()(L)(NO)(OH)(N)(OAc)]·(OH) (2), (H = 5-methyl-1-tetrazole, HL = 7,7'-(ethane-1,1-diyl) diquinolin-8-ol) crystallizing in the space group with the same unit cell parameters. In 1 and 2, two pirate hat-like hexanuclear Co(NO)(L) units form the same dodecanuclear metal shell, but the ligands between the hexanuclear units as the core are distinct. The introduction of acetate anions leads to a blue shift of the absorption band in the visible region.

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Diabetes is a major concern of our society as it affects one person out of 11 around the world. Elastic fiber alterations due to diabetes increase the stiffness of large arteries, but the structural effects of these alterations are poorly known. To address this issue, we used synchrotron X-ray microcomputed tomography with in-line phase contrast to image in three dimensions C57Bl6J (control) and db/db (diabetic) mice with a resolution of 650 nm/voxel and a field size of 1.

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Primary sclerosing cholangitis (PSC) is a rare chronic cholestatic liver disease of unclear cause. Until now, there are no effective therapies for patients with PSC. A number of studies have evaluated the effects of immune-modulating therapies on the treatment of PSC.

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Objective: We aims to determine the relationship of amniotic fluid sludge (AFS) and/or short cervical length (CL, ≤25 mm) with a high rate of preterm birth in women after cervical cerclage.

Methods: A retrospective cohort study was conducted among singleton pregnancies after cervical cerclage between January 2018 and December 2021. A total of 296 patients who underwent transvaginal ultrasound to evaluate CL and the presence of AFS within 2 weeks after cerclage were included.

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The purpose of this study was to evaluate the predictive value of ultrasound markers measured at different time points of the controlled ovarian hyperstimulation (COH) cycle on ovarian response and outcome indicators in the IVF-ET cycle. According to the oestrogen level and the number of retrieved oocytes, patients who planned for COH treatment were separated into low-response group, normal and high-response group. The ovarian stromal artery flow parameters on the day of pituitary down-regulation, day 1, day 7, day 10, and the day of hCG injection were collected prospectively.

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Objectives: The aim of this meta-analysis was to conduct a contemporary systematic review of high quality non-randomised controlled trials to determine the effect of pre-liver transplantation (LT) transarterial chemoembolisation (TACE) on long-term survival and complications of hepatocellular carcinoma (HCC) patients.

Background: TACE is used as a neoadjuvant therapy to mitigate waitlist drop-out for patients with HCC awaiting LT. Previous studies have conflicting conclusions on the effect of TACE on long-term survival and complications of HCC patients undergoing LT.

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  • ! Integral membrane proteins are influenced by various lipids in biological membranes, and it's crucial to understand how these lipids affect protein function in both healthy and diseased states.
  • ! Native mass spectrometry (MS) and ion mobility spectrometry (IM) are innovative techniques that allow researchers to study the interactions between membrane proteins and their ligands or lipids, providing a more detailed analysis of binding events.
  • ! The study focuses on the ammonia channel (AmtB) from E. coli, showing that distinct thermodynamic signatures are linked to lipid binding, which can help identify critical residues and binding sites on membrane proteins.
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