Publications by authors named "M-L Yang"

Developing effective nanoplatforms for chemo-immunotherapy to achieve enhanced tumor suppression and systemic antitumor immunity has recently received extensive attention. Herein, we formulated a multifunctional DNA sandwich nanodevice, DSWAC/siPD-L1, based on triangular DNA origami, to implement enhanced cancer chemo-immunotherapy. Taking advantage of the tumor-targeting ability of the AS1411 aptamer, DSWAC/siPD-L1 efficiently delivered doxorubicin (DOX), CpG, and siPD-L1 into tumor cells.

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Background: Although the information on the validation status of electronic sphygmomanometer (ES) devices in use in health care institutions and households is much more clinically relevant than that of ES models available on the market, it remains insufficient.

Methods: A national survey was conducted across all administrative regions of mainland China to assess the validation status of ESs. Fifty-eight cities were selected with stratification by municipality, provincial capital, and other cities, and health care institutions and households in each city were chosen by convenience to identify ES devices in use according to the study protocol.

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Brain-derived neurotropic factor (BDNF) is expressed by skeletal muscle as a myokine. Our previous work showed that the active precursor, proBDNF, is the predominant form of BDNF expressed in skeletal muscle, and that following skeletal muscle injury, proBDNF levels are significantly increased. However, the function of the muscle-derived proBDNF in injury-induced inflammation has yet to be fully understood.

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Objectives: To investigate how studies determine the sample size when developing radiomics prediction models for binary outcomes, and whether the sample size meets the estimates obtained by using established criteria.

Methods: We identified radiomics studies that were published from 01 January 2023 to 31 December 2023 in seven leading peer-reviewed radiological journals. We reviewed the sample size justification methods, and actual sample size used.

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It is well understood that cancer therapies including chemotherapy, tyrosine kinase inhibitors, immune checkpoint inhibitors, and radiation can increase the risk of cardiovascular disease in patients with cancer. This can manifest as a multitude of pathologies including left ventricular dysfunction, myocarditis, cardiomyopathy, accelerated atherosclerosis, and coronary vasospasm. Multimodal cardiac imaging plays a critical role in diagnosing such pathologies by relying on noninvasive tools including echocardiograms, cardiac magnetic resonance imaging, positron emission tomography, single-photon emission computed tomography, and coronary computed tomography angiography.

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Prolonged exposure to interferon-gamma (IFNγ) and the associated increased expression of the enzyme indoleamine 2,3-dioxygenase 1 (IDO1) create an intracellular shortage of tryptophan in the cancer cells, which stimulates ribosomal frameshifting and tryptophan to phenylalanine (W>F) codon reassignments during protein synthesis. Here, we investigated whether such neoepitopes can be useful targets of adoptive T cell therapy. Immunopeptidomic analyses uncovered hundreds of W>F neoepitopes mainly presented by the HLA-A24:02 allele.

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Comprehensive molecular profiling by next-generation sequencing has revolutionized tumor classification and biomarker evaluation. However, routine implementation is challenged by the scant nature of diagnostic material obtained through minimally invasive procedures. Here, we describe our long-term experience in profiling cytology samples with an in-depth assessment of the performance, quality metrics, biomarker identification capabilities, and potential pitfalls.

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Purpose To explore the diffusion characteristics of hypertrophic cardiomyopathy (HCM) using in vivo cardiac diffusion-tensor imaging (cDTI) and to determine whether cDTI could help identify abnormal myocardium beyond cardiac MRI findings of fibrosis and hypertrophy. Materials and Methods In this prospective study conducted from April to August 2023, participants with HCM and healthy volunteers were enrolled for cardiac MRI evaluation, including cine, late gadolinium enhancement (LGE), T1 mapping, and cDT imaging, using a 3.0-T scanner.

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Background: Hypertension or elevated blood pressure (BP) is a worldwide clinical challenge and the leading primary risk factor for kidney dysfunctions, heart failure, and cerebrovascular disease. The kidney is a central regulator of BP by maintaining sodium-water balance. Multiple genome-wide association studies revealed that BP is a heritable quantitative trait, modulated by several genetic, epigenetic, and environmental factors.

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Spatially mapping the transcriptome and proteome in the same tissue section can significantly advance our understanding of heterogeneous cellular processes and connect cell type to function. Here, we present Deterministic Barcoding in Tissue sequencing plus (DBiTplus), an integrative multi-modality spatial omics approach that combines sequencing-based spatial transcriptomics and image-based spatial protein profiling on the same tissue section to enable both single-cell resolution cell typing and genome-scale interrogation of biological pathways. DBiTplus begins with reverse transcription for cDNA synthesis, microfluidic delivery of DNA oligos for spatial barcoding, retrieval of barcoded cDNA using RNaseH, an enzyme that selectively degrades RNA in an RNA-DNA hybrid, preserving the intact tissue section for high-plex protein imaging with CODEX.

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Rationale And Objectives: Effective trauma care in emergency departments necessitates rapid diagnosis by interdisciplinary teams using various medical data. This study constructed a multimodal diagnostic model for abdominal trauma using deep learning on non-contrast computed tomography (CT) and unstructured text data, enhancing the speed and accuracy of solid organ assessments.

Materials And Methods: Data were collected from patients undergoing abdominal CT scans.

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Spatially mapping the transcriptome and proteome in the same tissue section can significantly advance our understanding of heterogeneous cellular processes and connect cell type to function. Here, we present Deterministic Barcoding in Tissue sequencing plus (DBiTplus), an integrative multi-modality spatial omics approach that combines sequencing-based spatial transcriptomics and image-based spatial protein profiling on the same tissue section to enable both single-cell resolution cell typing and genome-scale interrogation of biological pathways. DBiTplus begins with reverse transcription for cDNA synthesis, microfluidic delivery of DNA oligos for spatial barcoding, retrieval of barcoded cDNA using RNaseH, an enzyme that selectively degrades RNA in an RNA-DNA hybrid, preserving the intact tissue section for high-plex protein imaging with CODEX.

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Article Synopsis
  • A study examined patient preferences for different types of pacemakers, including new dual-chamber leadless options and traditional transvenous ones, to identify which features are most important to them.
  • Surveying 117 patients, researchers found that half preferred leadless pacemakers while the other half favored conventional ones, highlighting a significant division in choices.
  • Key factors influencing patient decisions included preferred pacemaker type, acceptance of complication and infection risks, and the time since regulatory approval, with many willing to accept higher risks for their preferred options.
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Background: The effect of embolization of the middle meningeal artery in patients with subacute or chronic subdural hematoma is uncertain.

Methods: We performed a multicenter, open-label, randomized trial in China, involving patients with symptomatic nonacute subdural hematoma with mass effect. Patients were assigned to undergo burr-hole drainage or receive nonsurgical treatment at the surgeon's discretion, and patients in each group were then randomly assigned, in a 1:1 ratio, to undergo middle meningeal artery embolization with liquid embolic material or to receive usual care.

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  • A study was conducted to find out the best systolic blood pressure targets for patients over 50 with type 2 diabetes and high cardiovascular risk, comparing intensive treatment (target <120 mm Hg) to standard treatment (target <140 mm Hg) over 5 years.
  • Out of 12,821 patients, the intensive treatment group had a lower average systolic blood pressure after one year (121.6 mm Hg) compared to the standard group (133.2 mm Hg), resulting in significantly fewer major cardiovascular events.
  • Despite the lower overall events in the intensive group, there were more cases of symptomatic hypotension and hyperkalemia, but the rates of serious adverse events were similar in both groups.
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  • The study aimed to assess the effectiveness of the indocyanine green (ICG) retention test as a noninvasive indicator for identifying esophageal varices in patients with liver cirrhosis.
  • A total of 144 patients were analyzed, revealing significant differences in ICG retention and other clinical markers between those with small varices and those with medium or large varices.
  • The findings suggest that while ICG retention and platelet counts can help identify patients at risk for large varices, they cannot replace endoscopy but may assist in the evaluation process.
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Rationale And Objectives: This study aimed to address the challenge of predicting treatment outcomes for patients with uterine fibroids undergoing high-intensity focused ultrasound (HIFU) ablation. We developed medical-assisted diagnostic models to accurately predict the ablation rates and volume reduction rates, thus assessing both short-term and long-term treatment effects of fibroids.

Materials And Methods: For the ablation rate prediction, our study included 348 fibroids, categorized into 181 fully ablated and 167 inadequately ablated fibroids.

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Pectolinarigenin (PEC), a natural flavonoid isolated from Cirsium japonicum, exhibits promising therapeutic potential for multiple cancers. In present study, a simple and sensitive UPLC-MS/MS method was established for the quantification of PEC in rat plasma and tissues. The assay procedure involved a one-step protein precipitation with tadalafil as the internal standard, and separation on a Welch Xtimate UHPLC C column by gradient elution of acetonitrile/aqueous formic acid (0.

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Lactic acid bacteria (LAB) are probiotic microorganisms widely used for their health benefits in the food industry. However, recent concerns regarding their safety have highlighted the need for comprehensive safety assessments. In this study, we aimed to evaluate the safety of IDCC 3601, isolated from homemade plain yogurt, via genomic, phenotypic, and toxicity-based analyses.

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Vestibular hair cells are mechanoreceptors critical for detecting head position and motion. In mammals, hair cell loss causes vestibular dysfunction as spontaneous regeneration is nearly absent. Constitutive expression of exogenous ATOH1, a hair cell transcription factor, increases hair cell regeneration, however, these cells fail to fully mature.

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Article Synopsis
  • The study investigates the link between inflammation and tissue fibrosis in human cardiac diseases, revealing unique fibroblast populations that contribute to heart dysfunction.
  • Researchers used advanced techniques on heart samples to uncover these fibroblast types and their relationship with immune cells, specifically CCR2 macrophages, in promoting fibrosis through IL-1β signaling.
  • By blocking IL-1β signaling, the study demonstrated reduced fibrosis and improved heart function, suggesting that targeting inflammation could be a promising approach for treating cardiac fibrosis.
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  • The study aims to improve prediction of 90-day functional outcomes in ischemic stroke patients using a deep learning model that combines non-contrast CT images and clinical data, potentially aiding healthcare planning and clinical trials.
  • The dataset included 1,335 patients from multiple trials and registries, and the model demonstrated superior accuracy in predicting outcomes compared to models using only imaging or clinical data alone.
  • The fused model achieved a mean absolute error (MAE) of 0.94 for mRS score prediction and an AUC of 0.91 for identifying unfavorable outcomes, indicating it significantly outperforms existing methods.
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  • A study evaluated an AI model's ability to detect prostate cancer in scans done at different institutions, focusing on biparametric MRI (bpMRI) scans from both an external and an in-house setup.
  • This research included 201 male patients and showed that the AI detected a greater percentage of lesions on in-house scans compared to external ones (56.0% vs. 39.7% for intraprostatic lesions and 79% vs. 61% for clinically significant prostate cancer).
  • Factors that improved the AI's detection rates included higher PI-RADS scores, larger lesion sizes, and better quality of diffusion-weighted MRI images.
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What happens to macromolecules ? What drives the structure-activity relationship and stability for antibody-drug conjugates (ADCs)? These interrelated questions are increasingly relevant due to the re-emerging importance of ADCs as an impactful therapeutic modality and the gaps that exist in our understanding of ADC structural determinants that underlie ADC stability. Complex macromolecules, such as ADCs, may undergo changes due to their intricate structure as biotransformations may occur on the linker, the payload, and/or at the modified conjugation site. Furthermore, the dissection of ADC metabolism presents a substantial analytical challenge due to the difficulty in the identification or quantification of minor changes on a large macromolecule.

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