Publications by authors named "F M Li"

Gastric cancer (GC) remains a significant global health challenge. This study aimed to comprehensively analyze GC epidemiology and risk factors to inform prevention and intervention strategies. We analyzed the Global Burden of Disease Study 2021 data, conducted 16 different machine learning (ML) models of NHANES data, performed Mendelian randomization (MR) studies on disease phenotypes, dietary preferences, microbiome, blood-based markers, and integrated differential gene expression and expression quantitative trait loci (eQTL) data from multiple cohorts to identify factors associated with GC risk.

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Glioblastoma (GBM) is a highly invasive and malignant primary intracranial tumor originating from glial cells, and it is associated with an extremely poor clinical prognosis. The hypoxic conditions within GBM promote various tumor cell processes such as angiogenesis, proliferation, migration, invasion, and drug resistance. A key aspect of tumor adaptation to the hypoxic environment and the promotion of malignant behaviors is the regulation of HIF-1α signaling pathways.

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Background: Intervertebral disc degeneration disease (IVDD) is a prevalent orthopedic condition that causes chronic lower back pain, imposing a substantial economic burden on patients and society. Despite its high incidence, the pathophysiological mechanisms of IVDD remain incompletely understood.

Objective: This study aimed to identify metabolomic alterations in IVDD patients and explore the key metabolic pathways and metabolites involved in its pathogenesis.

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Background: NAFLD is gaining recognition as a complex, multifactorial condition with suspected associations with endocrine disorders. This investigation employed MR analysis to explore the potential causality linking NAFLD to a spectrum of endocrine diseases, encompassing T1D, T2D, obesity, graves' disease, and acromegaly.

Methods: Our methodology leveraged a stringent IV selection process, adhering to the STROBE-MR guidelines.

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Proteases, an important class of enzymes that cleave proteins and peptides, carry a wealth of potentially useful information. Devices to enable routine and cost effective measurement of their activity could find frequent use in clinical settings for medical diagnostics, as well as some industrial contexts such as detecting on-line biological contamination. In particular, devices that make use of readouts involving magnetic particles may offer distinct advantages for continuous sensing because material they release can be magnetically captured downstream and their readout is insensitive to optical properties of the sample.

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