Publications by authors named "Xin Wei Wang"

Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA) are the two main liver cancers responsible for cancer deaths worldwide. Multiple etiologies exist driving these diseases; however, there are limited effective treatments to date. Recent studies have demonstrated improved outcomes in patients with advanced disease treated with immune checkpoint inhibition (ICI).

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Background: Thailand has the highest incidence rate of cholangiocarcinoma (CCA) in the world, and a high rate of hepatocellular carcinoma. Although risk factors for these two types of liver cancer have been identified, gaps persist in models for prevention. This qualitative study examined community awareness of liver cancer risk factors and prevention in rural Thailand.

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Background: Myasthenia gravis (MG) is a chronic autoimmune disorder affecting the neuromuscular junction, where autoreactive immunoglobulin G (IgG) plays a key role in disease pathogenesis. The novel biologic Efgartigimod is a neonatal Fc receptor (FcRn) antagonist, promotes the lysosomal degradation of IgG, and may offer a targeted approach for managing MG. Despite the growing interest in efgartigimod, there remains a lack of comprehensive evaluation of its efficacy and safety in different MG subtypes.

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Background: Stroke and its related complications, place significant burdens on human society in the twenty-first century, and lead to substantial demands for upper limb rehabilitation. To fulfill the rehabilitation needs, human-machine interaction (HMI) technology strives continuously. Depends on the involvement of subject, HMI strategy can be classified as passive or active.

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Background: Glucagon (GCG) plays an important role in both diabetes and metabolic dysfunction-associated steatotic liver disease (MASLD).

Aim: To investigate the relationship between GCG and the development of MASLD in patients with type 2 diabetes mellitus (T2DM) and the possible influencing factors.

Methods: A total of 212 T2DM patients were enrolled.

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Hepatocellular carcinoma (HCC) is an increasingly prevalent and deadly disease that is initiated by different etiological factors, such as alcohol-associated liver disease (ALD), metabolic dysfunction-associated steatohepatitis (MASH), viral hepatitis, and other hepatotoxic and hepatocarcinogenic agents. The tumor microenvironment (TME) of HCC is characterized by several different fibroblastic and immune cell types, all of which affect the initiation, progression and metastasis of this malignant cancer. This complex immune TME can be divided into an innate component that includes macrophages, neutrophils, dendritic cells, myeloid-derived suppressor cells, mucosal-associated invariant T cells, natural killer cells, natural killer T cells, and innate lymphoid cells, as well as an adaptive component that includes CD4 T cells, CD8 T cells, regulatory T cells, and B cells.

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Background: Hepatocellular carcinoma (HCC) is a significant global cancer burden, with rising incidence and lacking a unified prevention strategy due to complex aetiologies. Viral exposures may shape host immunity via specific reactive viral antigens that could induce immune responses against hepatocarcinogenesis.

Objective: We aimed to characterise viral exposure differences between HCC patients and healthy individuals and identify potentially protective viral antigens against HCC.

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The spatiotemporal transcriptome dataset reported here provides the peach flower bud's gene expression atlas at spatiotemporal resolution level using the 10x Genomics Visium platform. This dataset can be used to define transcript accumulation for any interesting genes across several flower bud cells. It was generated using three peach flower bud samples during the activity-dormancy period, providing valuable insight into gene expression profiling and developmental stages under different environmental contexts or conditions.

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Background: Activated hepatic stellate cells (HSCs) induce alternative (M2) polarization of macrophages and contribute to the progression of fibrosis and hepatocellular carcinoma (HCC). However, the effects of small extracellular vesicles released by HSCs (HSC-sEVs) during activation remain largely unknown.

Methods: The aim of this study was to investigate the role of extracellular vesicles released by HSCs (HSC-sEVs) at different stages of activation in macrophage polarization.

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Anti-vascular endothelial growth factor (VEGF) treatment has shown clinical activity together with immune checkpoint blockade (ICB), but the exact mechanism is not known. We show that VEGF blockade in combination with anti-cytotoxic T-lymphocyte associated protein 4 (CTLA4) + anti-programmed death-ligand 1 (PD-L1) in cholangiocarcinoma (CCA) potentiated a multimodal mechanism dependent on B cell activating factor (BAFF), leading to a proinflammatory B cell response. It led to a BAFF- and interleukin (IL)-12-dependent expansion and rewiring of T regulatory cells (Tregs) toward an anti-tumor T helper-1 (Th-1)-like fragile state.

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Background: Hepatocellular carcinoma (HCC) can be classified into several subtypes based on molecular traits, aiding in prognostic stratification. The subtype with a poor prognosis is often associated with stem/progenitor features. This study focused on identifying circulating biomarkers for aggressive HCC.

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Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. The combination of tremelimumab and durvalumab is now a standard treatment option for advanced HCC.

Objective: To study immune responses in HCC patients treated with tremelimumab and durvalumab.

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Recently, studies have reported that pan-viral serology signatures may be predictive for liver cancer development. However, whether these same findings are observed for prospective studies has not been previously investigated. The nested case-control analysis included 191 persons who developed liver cancer and 382 controls from the PLCO prospective cohort.

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The development of hepatocellular carcinoma (HCC) involves an intricate interplay among various cell types within the liver. Unraveling the orchestration of these cells, particularly in the context of various etiologies, may hold the key to deciphering the underlying mechanisms of this complex disease. The advancement of single-cell and spatial technologies has revolutionized our ability to determine cellular neighborhoods and understand their crucial roles in disease pathogenesis.

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Article Synopsis
  • The study aimed to assess infection risks and characteristics in multiple myeloma patients receiving new therapies, involving 155 patients from a hospital over 5 years.
  • The analysis identified 242 infection episodes, predominantly clinically defined infections, with lower respiratory tract being the most affected area.
  • Key risk factors for developing infections included having advanced disease (ISS stage III), receiving multiple lines of treatment, and being frail.
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  • * Genetic changes, such as mutations in specific genes, vary across different CCA subtypes and populations, while epigenetic changes influence how genes are expressed and how tumors behave.
  • * The interplay between CCA cells and their surrounding environment, including other cancer cells and immune cells, creates a supportive area for tumor growth, emphasizing the need to understand these mechanisms for better treatments.
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  • Wild species like Prunus davidiana are critical for improving resistance in domesticated crops, especially peaches, due to their genetic diversity and stress tolerance.
  • The newly assembled genome of P. davidiana reveals significant genetic variations and structures, including specific genes and a novel aphid resistance locus tied to the PdaWRKY4 gene, which is crucial for synthesizing anti-aphid compounds.
  • The findings pave the way for a breeding strategy aimed at efficiently developing aphid-resistant peach varieties through targeted genetic insights.
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Unlabelled: Phosphorus concentration on the surface of seawater varies greatly with different environments, especially in coastal. The molecular mechanism by which cyanobacteria adapt to fluctuating phosphorus bioavailability is still unclear. In this study, transcriptomes and gene knockouts were used to investigate the adaptive molecular mechanism of a model coastal cyanobacterium sp.

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Obesity and fatty liver diseases-metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH)-affect over one-third of the global population and are exacerbated in individuals with reduced functional aldehyde dehydrogenase 2 (ALDH2), observed in approximately 560 million people. Current treatment to prevent disease progression to cancer remains inadequate, requiring innovative approaches. We observe that Aldh2 and Aldh2Sptbn1 mice develop phenotypes of human metabolic syndrome (MetS) and MASH with accumulation of endogenous aldehydes such as 4-hydroxynonenal (4-HNE).

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Intrahepatic cholangiocarcinoma (iCCA) presents a challenging diagnosis due to its nonspecific early clinical manifestations, often resulting in late-stage detection and high mortality. Diagnosing iCCA is further complicated by its limited accuracy, often necessitating multiple invasive procedures for precise identification. Despite carbohydrate antigen 19-9 (CA19-9) having been investigated and employed for iCCA diagnosis, it demonstrates modest diagnostic performance.

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Cyanobacteria are important primary producers, contributing to 25% of the global carbon fixation through photosynthesis. They serve as model organisms to study the photosynthesis, and are important cell factories for synthetic biology. To enable efficient genetic dissection and metabolic engineering in cyanobacteria, effective and accurate genetic manipulation tools are required.

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The study of the tumor microbiome has been garnering increased attention. We developed a computational pipeline (CSI-Microbes) for identifying microbial reads from single-cell RNA sequencing (scRNA-seq) data and for analyzing differential abundance of taxa. Using a series of controlled experiments and analyses, we performed the first systematic evaluation of the efficacy of recovering microbial unique molecular identifiers by multiple scRNA-seq technologies, which identified the newer 10x chemistries (3' v3 and 5') as the best suited approach.

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Cyanobacteria use a series of adaptation strategies and a complicated regulatory network to maintain intracellular iron (Fe) homeostasis. Here, a global activator named IutR has been identified through three-dimensional chromosome organization and transcriptome analysis in a model cyanobacterium sp. PCC 6803.

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Article Synopsis
  • The study aimed to evaluate the effectiveness of combining levofloxacin with G-CSF against using G-CSF alone in preventing infections following autologous stem cell transplants (ASCT) in patients with blood cancers.
  • A retrospective analysis of 102 patients was conducted to compare the rates of febrile neutropenia, bacterial infections, hospital stay lengths, costs, and post-transplant survival between the two treatment groups (levofloxacin+G-CSF vs. G-CSF only).
  • Results showed no significant difference in infection rates or hospitalization metrics between the two groups, suggesting that adding levofloxacin may not provide additional benefits in preventing infections during ASCT.
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