Publications by authors named "Hao Duan"

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) has emerged as a globally prevalent liver disease, closely linked to the rising incidence of obesity, diabetes, and metabolic syndrome. Dapagliflozin (DaPa), a sodium-glucose cotransporter-2 inhibitor, is primarily prescribed for diabetes management. It has shown potential efficacy in managing MASLD in clinical settings.

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The enzyme-linked immunosorbent assay (ELISA) is a cornerstone technique for quantifying protein secretion in biological research. However, the built-in software provided by ELISA plate readers often struggles to accurately detect low-concentration proteins, particularly in the sub-nanogram/mL range, due to limitations in calibration curve fitting. We developed the ELISA Protein Detector (EPD) to overcome these challenges.

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Major depressive disorder (MDD) is a prevalent psychiatric illness and a significant contributor to the global burden of disease. However, the molecular mechanisms underlying depression are complex and have yet to be fully elucidated. Previous studies demonstrated that collapsin response mediator protein 2 (CRMP2) involved in the onset of depression, but its role is unclear yet.

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Cancers are characterized by remarkable heterogeneity and diverse prognosis. Accurate cancer classification is essential for patient stratification and clinical decision-making. Although digital pathology has been advancing cancer diagnosis and prognosis, the paradigm in cancer pathology has shifted from purely relying on histology features to incorporating molecular markers.

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This paper presents a P+Damping control with gravity compensation for bilateral teleoperation systems, where the effects of time delays can be effectively addressed, and the motion synchronization and the transparency can be guaranteed. To further eliminate the direct measurement of human and environmental torques to save sensor installation space and reduce the hardware cost, a constructive unknown torque estimator is also proposed by tailoring the idea of unknown system dynamics estimator (USDE). This torque estimator with low-pass filter operations eliminates the requirement of joint acceleration and has only one tuning parameter, while it enables accurate estimation of external torques of both the local and remote manipulators.

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Raw protein materials are beneficial for human health, so they are being increasingly used in health foods. In recent years, there has been more and more research on and applications of raw protein materials, but few teams have conducted a detailed review of the application status of raw protein materials in China's health foods, the basis for their compliance and use, and the research on their health care functions. Therefore, this review evaluates the application of animal and plant proteins in China's health foods, the impact of animal and plant proteins on human health, and future research recommendations for animal and plant proteins.

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Purpose: Immunotherapy is a promising treatment for cancers but should be optimized for malignant gliomas. Because of immune privilege feature of the brain, local administration of immunotherapy may be a promising strategy for malignant glioma treatment. Identification of patients who may benefit from local immunotherapy is essential.

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Background: Lung cancer brain metastases (LC-BrMs) are frequently associated with dismal mortality rates in patients with lung cancer; however, standard of care therapies for LC-BrMs are still limited in their efficacy. A deep understanding of molecular mechanisms and tumor microenvironment of LC-BrMs will provide us with new insights into developing novel therapeutics for treating patients with LC-BrMs.

Methods: Here, we performed integrated analyses of genomic, transcriptomic, proteomic, metabolomic, and single-cell RNA sequencing data which were derived from a total number of 154 patients with paired and unpaired primary lung cancer and LC-BrM, spanning four published and two newly generated patient cohorts on both bulk and single cell levels.

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Article Synopsis
  • The study focused on understanding why highland barley dough lacks a gluten structure by examining how the hordein/glutelin protein ratio affects dough properties.
  • Findings revealed that a balanced ratio (50Hordein-50Glutelin) led to improved dough quality by enhancing protein crosslinking and network structure.
  • The research highlights the potential for improving barley and similar grain products' quality through adjustments in their protein composition.
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In current bioinformatics research, spatial transcriptomics (ST) as a rapidly evolving technology is gradually receiving widespread attention from researchers. Spatial domains are regions where gene expression and histology are consistent in space, and detecting spatial domains can better understand the organization and functional distribution of tissues. Spatial domain recognition is a fundamental step in the process of ST data interpretation, which is also a major challenge in ST analysis.

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Chrysanthemums and wild chrysanthemums are herbs with high application value. As edible plants of the Asteraceae family, they have good antioxidant, anti-inflammatory and hepatoprotective properties. Chrysanthemums and wild chrysanthemums contain a wide variety of volatile organic compounds, and these volatile components are the main factors contributing to the flavor differences.

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Background: Patients with glioblastoma (GBM) have a poor prognosis and limited treatment options. The mRNA decapping enzyme scavenger (DCPS) is a cap-hydrolyzing enzyme. The DCPS inhibitor RG3039 exhibited excellent central nervous system bioavailability in vivo and was safe and well tolerated in healthy volunteers in a phase 1 clinical trial.

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Spatial transcriptome technology can parse transcriptomic data at the spatial level to detect high-throughput gene expression and preserve information regarding the spatial structure of tissues. Identifying spatial domains, that is identifying regions with similarities in gene expression and histology, is the most basic and critical aspect of spatial transcriptome data analysis. Most current methods identify spatial domains only through a single view, which may obscure certain important information and thus fail to make full use of the information embedded in spatial transcriptome data.

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Article Synopsis
  • Many people get tired eyes from using electronic devices a lot, like phones and computers.
  • This tiredness happens because the light from these screens can hurt our eyes and make them feel uncomfortable.
  • The text talks about six natural plants that can help reduce this eye fatigue, so we can find better ways to relax our eyes in the future.
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Brain metastasis (BM) in laryngeal squamous cell carcinoma (LSCC) is uncommon but prognosis is poor. Anti-PD-1 immunotherapy benefits some advanced LSCC cases, yet its efficiency is limited by tumor complexity. We analyzed paired metastatic tumor samples from before and after immunotherapy using single-cell RNA sequencing (scRNA-seq), along with a primary LSCC dataset and bulk RNA sequencing.

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Tuberculosis has plagued mankind since ancient times, and the struggle between humans and tuberculosis continues. Mycobacterium tuberculosis is the leading cause of tuberculosis, infecting nearly one-third of the world's population. The rise of peptide drugs has created a new direction in the treatment of tuberculosis.

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Bovine colostrum provides newborn calves with strong passive immunity, which will further affect the immunity of their offspring. Compared with other commercial dairy products, bovine colostrum emphasizes the limit of aflatoxin M1, pathogenic bacteria, microorganisms, antibiotics, stimulants, and other items, so it is safe to use. There are many reports that the use of bovine colostrum as a breast milk fortifier for preterm infants provides necessary immune support for premature infants, but the selection of bovine colostrum products chosen must be free of Bacillus cereus because they are very dangerous for premature infants.

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Estrogen-related receptor α (ERRα) is considered a very promising target for treating metabolic diseases such as type 2 diabetes. Development of a prediction model to quickly identify potential ERRα agonists can significantly reduce the time spent on virtual screening. In this study, 298 ERRα agonists and numerous nonagonists were collected from various sources to build a new dataset of ERRα agonists.

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Liver cancer ranks third globally among causes of cancer-related deaths, posing a significant public health challenge. However, current treatments are inadequate, prompting a growing demand for novel, safe, and effective therapies. Natural products (NPs) have emerged as promising candidates in drug development due to their diverse biological activities, low toxicity, and minimal side effects.

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Protein is composed of peptides, essential nutrients for human survival and health, and the easy absorption of peptides further promotes human health. According to the source of the protein, it can be divided into plants, animals, and micro-organisms, which have important physiological effects on the health of the body, especially in enhancing immunity. The most widely used raw materials are animal protein and plant protein, and the protein composition formed by the two in a certain proportion is called "double protein".

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Context: Precision medicine for pituitary neuroendocrine tumors (PitNETs) is limited by the lack of reliable research models.

Objective: To generate patient-derived organoids (PDOs), which could serve as a platform for personalized drug screening for PitNET patients.

Design: From July 2019 to May 2022, a total of 32 human PitNET specimens were collected for the establishment of organoids with an optimized culture protocol.

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Gestational stress can exacerbate postpartum depression (PPD), for which treatment options remain limited. Environmental enrichment (EE) may be a therapeutic intervention for neuropsychiatric disorders, including depression, but the specific mechanisms by which EE might impact PPD remain unknown. Here we examined the behavioral, molecular, and cellular impact of EE in a stable PPD model in rats developed through maternal separation (MS).

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Generative Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, including Question-Answering (QA) and dialogue systems. However, most models are trained on English data and lack strong generalization in providing answers in Chinese. This limitation is especially evident in specialized domains like traditional Chinese medical QA, where performance suffers due to the absence of fine-tuning and high-quality datasets.

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Aims: To investigate the antidepressant role of oligodendrocyte-derived exosomes (ODEXs)-containing sirtuin 2 (SIRT2) and the underlying mechanism both in vivo and in vitro.

Methods: Oligodendrocyte-derived exosomes isolated from mouse serum were administered to mice with chronic unpredictable mild stress (CUMS)-induced depression via the tail vein. The antidepressant effects of ODEXs were assessed through behavioral tests and quantification of alterations in hippocampal neuroplasticity.

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DNA N6-methyladenine (6mA) modifications play a pivotal role in the regulation of growth, development, and diseases in organisms. As a significant epigenetic marker, 6mA modifications extensively participate in the intricate regulatory networks of the genome. Hence, gaining a profound understanding of how 6mA is intricately involved in these biological processes is imperative for deciphering the gene regulatory networks within organisms.

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