Publications by authors named "Jiaju Huang"

Article Synopsis
  • * Conducted from October to November 2022, the research involved 1,986 residents and utilized questionnaires to evaluate awareness levels, revealing an average AD knowledge score of 18.5 out of 30.
  • * Factors like being female, older age, urban residency, higher income, and the absence of neurological disorders correlated with higher AD awareness, indicating a need for targeted health campaigns to improve education in these areas.
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SARS-CoV-2 is the underlying cause for the COVID-19 pandemic. Like most enveloped RNA viruses, SARS-CoV-2 uses a homotrimeric surface antigen to gain entry into host cells. Here we describe S-Trimer, a native-like trimeric subunit vaccine candidate for COVID-19 based on Trimer-Tag technology.

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Article Synopsis
  • The study examined the links between long-term air pollution exposure (specifically PM10, NO2, and SO2) and lung cancer mortality in Northern China, involving a cohort of 39,054 participants from 1998 to 2009.
  • Each 10mg/m³ increase in PM10 was correlated with a 3.4%-6.0% rise in lung cancer deaths, with variations in this effect noted across different models and demographic factors.
  • Findings highlighted differences in risk estimates based on air pollution exposure methods, with notable disparities observed between genders, age groups, and smoking statuses.
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High-throughput experimental technologies often identify dozens to hundreds of genes related to, or changed in, a biological or pathological process. From these genes one wants to identify biological pathways that may be involved and diseases that may be implicated. Here, we report a web server, KOBAS 2.

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Current drug discovery and development approaches rely extensively on the identification and validation of appropriate targets; for example, those with marketable and robust therapeutics. Wide-ranging efforts have been directed at this problem and various approaches have been developed to identify disease-associated genes as candidates. In this work, we show with statistical significance that successful drug targets, in addition to their linkage to disease, share common characteristics that are disease-independent.

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