Large-scale plasma proteomic profiling unveils diagnostic biomarkers and pathways for Alzheimer's disease

1. Research Background and Academic Significance Alzheimer’s Disease (AD) is the most common form of dementia worldwide, accounting for about 60–80% of all dementia cases. The primary affected population is individuals over 65 years old, with characteristic pathological features including the deposition of amyloid-β plaques, neurofibrillary tangles...

Large-Scale Network Analysis of the Cerebrospinal Fluid Proteome Reveals Molecular Signatures of Frontotemporal Lobar Degeneration

Analysis of Large-Scale Network Study of the CSF Proteome in FTLD — Unlocking Molecular Signatures of Neurodegenerative Diseases I. Academic Background and Motivation Frontotemporal Lobar Degeneration (FTLD) is one of the most common causes of early-onset dementia (under age 65), triggering a range of progressive behavioral, language, and even moto...

Development and Validation of a Proteomic Signature of Healthspan

1. Academic Background: From Lifespan Extension to the Enhancement of Healthspan With the improvement of global medical and socioeconomic standards since the 20th century, overall human lifespan has significantly increased, especially in developing countries. However, healthspan—the number of years an individual lives in a state of complete health,...

Fibroblast-Adipocyte Lineage Cell Interactions Result in Differential Production of Extracellular Matrix Proteins

Academic Background Scar formation is a common issue following trauma, burns, and other complications, significantly impacting the quality of life for millions of people worldwide. Fibroblasts play a central role in pathological scar formation, making them a common target for developing new therapies to promote healing and reduce scarring. Recent s...

ImmunoTar—Integrative Prioritization of Cell Surface Targets for Cancer Immunotherapy

Cancer remains one of the leading causes of death globally. Despite significant advancements in immunotherapy in recent years, such as the successful application of chimeric antigen receptor T-cell (CAR-T) therapy and antibody-drug conjugates (ADCs), the effective identification of cancer-specific surface protein targets remains a major challenge i...

APNet: An Explainable Sparse Deep Learning Model to Discover Differentially Active Drivers of Severe COVID-19

Academic Background The COVID-19 pandemic has had a significant impact on global public health systems. Although the pandemic has somewhat subsided, its complex immunopathological mechanisms, long-term sequelae (such as “long COVID”), and the potential for similar threats in the future continue to drive in-depth research. Severe COVID-19 cases are ...

Proteomic Analysis Reveals Distinct Cerebrospinal Fluid Signatures Across Genetic Frontotemporal Dementia Subtypes

Academic Background Frontotemporal Dementia (FTD) is a group of progressive neurodegenerative diseases characterized primarily by behavioral changes, language impairment, or motor dysfunction. Although the incidence of FTD is lower than that of Alzheimer’s Disease (AD), it remains one of the leading causes of early-onset dementia. The molecular bas...

Phosphatidylinositol Promotes the Proliferation and Invasion of Pituitary Adenoma Cells by Regulating POU1F1 Expression

Phosphatidylinositol Promotes Pituitary Adenoma Cell Proliferation and Invasion by Regulating POU1F1 Expression Background Pituitary adenoma (PA) is one of the most common primary intracranial tumors, accounting for approximately 15% of all intracranial tumors. Although most pituitary adenomas are benign, about 30% of them are invasive, known as in...

MALDI Imaging Combined with Two-Photon Microscopy Reveals Local Differences in the Heterogeneity of Colorectal Cancer

MALDI Imaging Combined with Two-Photon Microscopy Reveals Local Differences in the Heterogeneity of Colorectal Cancer

Multimodal Imaging Study of the Tumor Microenvironment in Colorectal Cancer: Revealing Spatial Heterogeneity Academic Background Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, with its complexity and heterogeneity posing significant challenges for treatment and prognosis prediction. The tumor microe...

Proteomic Stratification of Prognosis and Treatment Options for Small Cell Lung Cancer

Proteomic Subtyping of Small Cell Lung Cancer: Analysis of Prognosis and Treatment Strategies Research Background Small Cell Lung Cancer (SCLC) is a highly malignant and heterogeneous cancer characterized by rapid growth, early metastasis, and drug resistance, which limits treatment options and challenges prognostic prediction models. Current genom...