98%
921
2 minutes
20
Sex and age are major risk factors for chronic diseases. Recent studies examining age-related molecular changes in plasma provided insights into age-related disease biology. Cerebrospinal fluid (CSF) proteomics can provide additional insights into brain aging and neurodegeneration. By comprehensively examining 7,006 aptamers targeting 6,139 proteins in CSF obtained from 660 healthy individuals aged from 43 to 91 years old, we subsequently identified significant sex and aging effects on 5,097 aptamers in CSF. Many of these effects on CSF proteins had different magnitude or even opposite direction as those on plasma proteins, indicating distinctive CSF-specific signatures. Network analysis of these CSF proteins revealed not only modules associated with healthy aging but also modules showing sex differences. Through subsequent analyses, several modules were highlighted for their proteins implicated in specific diseases. Module 2 and 6 were enriched for many aging diseases including those in the circulatory systems, immune mechanisms, and neurodegeneration. Together, our findings fill a gap of current aging research and provide mechanistic understanding of proteomic changes in CSF during a healthy lifespan and insights for brain aging and diseases.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11213043 | PMC |
http://dx.doi.org/10.1101/2024.06.18.24309102 | DOI Listing |
IISE Trans Occup Ergon Hum Factors
September 2025
Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, USA.
Occupational ApplicationsWe investigated the effects of age and sex on cybersickness susceptibility during Virtual Reality (VR)-based forklift training, using an order picker forklift truck consisting of basic and common forklift driving scenarios. Cybersickness occurrence was assessed using the Simulator Sickness Questionnaire (SSQ) and analyzed with the survival analysis method. Our analysis indicated strong vulnerability among older adults yet no significant influence of biological sex on cybersickness susceptibility.
View Article and Find Full Text PDFSpine (Phila Pa 1976)
October 2025
Department of Orthopaedic Surgery, Rothman Orthopaedic Institute at Thomas Jefferson University Hospital, Philadelphia, PA.
Study Design: Retrospective cohort.
Objective: To evaluate the impact of having a history of obstructive sleep apnea (OSA) in patients undergoing anterior cervical discectomy and fusion (ACDF) on postoperative outcomes.
Background: With an aging population and rates of obesity increasing, comorbidities that influence patient safety are increasingly common.
J Eval Clin Pract
September 2025
School of Public Health, Wuhan University, Wuhan, China.
Background: Social support can have health benefits but may also pose risks for the elderly, particularly those facing conflicts and network disruptions. Understanding the short and long-term mental health effects, especially in elderly individuals with chronic illnesses, is crucial due to global depression concerns. Yet, research is limited, with gaps in exploring different social disruption scenarios and lacking comprehensive multi-period data analysis.
View Article and Find Full Text PDFAnn Neurol
September 2025
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Objective: The objective of this study was to determine the predictive value of amyloid-positron emission tomography (PET) versus the plasma ratio of phosphorylated tau at threonine 217 (p-tau217) to non-phosphorylated tau217 (%p-tau217) for tau-PET transitions (T- to T+). The added value of combining plasma amyloid-β 42 and amyloid-β 40 (Aβ42/40) and %p-tau217 into an amyloid probability score (APS2) was also assessed.
Methods: Mayo Clinic Study of Aging (MCSA) participants had plasma markers measured at via mass spectrometry (MS), an amyloid-PET scan, and a tau-PET (meta-temporal region of interest [ROI]) negative scan (standardized uptake value ratio [SUVR] <1.
Alzheimers Dement
September 2025
Alzheimer's Disease Convergence Research Center, Samsung Medical Center, Seoul, South Korea.
Introduction: We developed and validated age-related amyloid beta (Aβ) positron emission tomography (PET) trajectories using a statistical model in cognitively unimpaired (CU) individuals.
Methods: We analyzed 849 CU Korean and 521 CU non-Hispanic White (NHW) participants after propensity score matching. Aβ PET trajectories were modeled using the generalized additive model for location, scale, and shape (GAMLSS) based on baseline data and validated with longitudinal data.