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There is a critical need to generate age- and sex-specific survival curves to characterize chronological aging consistently across nonhuman primates (NHP) used in biomedical research. Sex-specific Kaplan-Meier survival curves were computed in 12 translational aging models: baboon, bonnet macaque, chimpanzee, common marmoset, coppery titi monkey, cotton-top tamarin, cynomolgus macaque, Japanese macaque, pigtail macaque, rhesus macaque, squirrel monkey, and vervet/African green. After employing strict inclusion criteria, primary results are based on 12,269 NHPs that survived to adulthood and died of natural/health-related causes. A secondary analysis was completed for 32,616 NHPs that died of any cause. Results show a pattern of reduced male survival among catarrhines (African and Asian primates), especially macaques, but not platyrrhines (Central and South American primates). For many species, median lifespans were lower than previously reported. An important consideration is that these analyses may offer a better reflection of healthspan than lifespan since research NHPs are typically euthanized for humane welfare reasons before their natural end of life. This resource represents the most comprehensive characterization of sex-specific lifespan and age-at-death distributions for 12 biomedically relevant species, to date. These results clarify relationships among NHP ages and provide a valuable resource for the aging research community, improving human-NHP age equivalencies, informing investigators of expected survival rates, providing a metric for comparisons in future studies, and contributing to understanding of factors driving lifespan differences within and among species.
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http://dx.doi.org/10.1007/s11357-024-01421-8 | DOI Listing |
Zhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Geriatric Pulmonary and Critical Care Medicine, Xiangya Hospital, Central South University; National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha 410008.
Objectives: Non-small cell lung cancer (NSCLC) is associated with poor prognosis, with 30% of patients diagnosed at an advanced stage. Mutations in the and genes are important prognostic factors for NSCLC, and targeted therapies can significantly improve survival in these patients. Although tissue biopsy remains the gold standard for detecting gene mutations, it has limitations, including invasiveness, sampling errors due to tumor heterogeneity, and poor reproducibility.
View Article and Find Full Text PDFZhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Cardiovascular Medicine, Affiliated Changsha Hospital of Xiangya School of Medicine, Central South University, Changsha 410005.
Objectives: The Charlson comorbidity index reflects overall comorbidity burden and has been applied in cardiovascular medicine. However, its role in predicting in-hospital mortality in patients with acute myocardial infarction (AMI) complicated by ventricular arrhythmias (VA) remains unclear. This study aims to evaluate the predictive value of the Charlson comorbidity index in this setting and to construct a nomogram model for early risk identification and individualized management to improve outcomes.
View Article and Find Full Text PDFAnticancer Drugs
September 2025
Department of Blood and Marrow Transplantation, Tianjin Cancer Hospital Airport Hospital, National Clinical Research Center for Cancer.
Bortezomib resistance in multiple myeloma (MM) is a significant clinical challenge that limits the long-term effectiveness. Currently, there is a lack of reliable biomarkers to predict bortezomib resistance. Previous studies reported that several proteins regulate bortezomib resistance through targeting ubiquitin-proteasome pathways, including heat shock protein family A member 9 (HSPA9), dickkopf Wnt signaling pathway inhibitor 1 (DKK1), proteasome 26S subunit non-ATPase 14 (PSMD14), and tripartite motif containing 21 (TRIM21).
View Article and Find Full Text PDFInt J Environ Health Res
September 2025
Department of Research, Unidad Médica de Alta Especialidad, Hospital de Especialidades, Instituto Mexicano del Seguro Social (IMSS), Veracruz, Mexico.
Little is known about the biomarkers of mortality in SARS-CoV-2-infected patients without a previous diagnosis of diabetes. Thus, this study aimed to assess the fibrinogen-to-platelet ratio (FPR) and compare its predictive value with the main biomarkers for COVID-19 mortality, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), leukocyte glucose index (LGI), and lactate dehydrogenase (LDH)/lymphocyte ratio. This retrospective cohort study in a population of Mexico included 70 non-diabetic patients with COVID-19 from 1 May 2020 to 30 September 2020.
View Article and Find Full Text PDFNan Fang Yi Ke Da Xue Xue Bao
August 2025
Department of Gastrointestinal Surgery.
Objectives: To study the impact of SURF4 expression level on long-term prognosis of gastric cancer (GC) and biological behaviors of GC cells.
Methods: SURF4 expression level in GC and its association with long-term patient prognosis were analyzed using publicly available databases and in 155 GC patients with low and high SURF4 expressions detected immunohistochemically. The Cox proportional hazard model and Kaplan-Meier survival curves were used to analyze independent prognostic predictors of GC and the 5-year survival rate of the patients with different SURF4 expression levels.