Biology subjects

Nollen, E. A. A.

Publications and source records attributed to Nollen, E. A. A..

6 recordsLinked to original sources

bioRxiv2026

PUMA: A Phenotypic Unsupervised Model of Aging Reveals Distinct Aging Dimensions

Aging is a multidimensional process, yet most aging models reduce it to a single score to estimate biological aging and predict health outcomes, disease risk, or mortality. Here, we introduce PUMA (Phenotypic Unsupervised Model of Aging), a framework that characterizes aging through multiple phenotypic dimensions. Applying PUMA to more than 1,000 traits spanning behavioral, psychological, social, physical, environmental, and biomedical domains in over 150,000 individuals from the Lifelines cohort, we identified seven distinct phenotypic aging dimensions. These dimensions were significantly associated with the future incidence of major age-related diseases--including cancer, diabetes, COPD, heart failure, stroke, and Parkinsons disease-- demonstrating the potential of PUMA to stratify individuals by disease risk and identify phenotypic domains for targeted intervention. Notably, dimensions reflecting psychosocial factors, particularly cumulative life stress, predicted disease risk as strongly as, or more strongly than, traditional biomedical risk factors, highlighting the importance of psychological and social influences in aging and disease risk. The observation that phenotypic aging dimensions are differentially associated with the future risk of age-related diseases supports a multidimensional model of aging, indicating that aging is not a single uniform process. Because PUMA relies on accessible phenotypic data, it provides an interpretable framework for disease risk stratification and targeted preventive strategies.

bioinformatics↗

bioRxiv2023

Rebalancing the motor circuit restores movement in a Caenorhabditis elegans model for TDP-43-toxicity

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia are caused by the abnormal accumulation of TAR DNA-binding protein 43 (TDP-43) in the cytoplasm of neurons. How TDP-43 accumulation leads to disease symptoms is not well-characterized. Here, we use a C. elegans model for TDP-43-induced toxicity to identify the biological mechanisms that lead to disease-related phenotypes. By applying deep behavioral phenotyping, we established a phenotypic fingerprint of TDP-43 worms. This fingerprint was compared to that of 294 C. elegans mutants, in which genes were mutated that are important for nervous system and muscle functioning. By using a computational clustering approach, we found that the release of acetylcholine and GABA was the primary defect in TDP-43 worms. We then functionally dissected the neuromuscular circuit to show that GABA transmission was more severely diminished compared to acetylcholine. Whereas the loss of GABA transmission was caused by a profound loss of GABA synapses, acetylcholine neurons appeared to be functionally silenced. Enhancing functional output of repressed acetylcholine neurons at the level of G-protein coupled receptors or through optogenetic stimulation restored neurotransmission, but inefficiently rescued locomotion. Surprisingly, rebalancing the excitatory and inhibitory input by simultaneous stimulation of GABA and acetylcholine input into muscles not only synergized the effects of boosting individual neurotransmitter systems, but instantaneously improved movement. Our results suggest that interventions accounting for the altered connectome may be more efficient in restoring motor function than those solely focusing on diseased neuron populations.

cell biology↗

bioRxiv2020

The cellular modifier MOAG-4/SERF drives amyloid formation through charge complementation

While aggregation-prone proteins are known to accelerate ageing and cause age-related diseases, the cellular mechanisms that drive their cytotoxicity remain unresolved. The orthologous proteins MOAG-4, SERF1A and SERF2 have recently been identified as cellular modifiers of such cytotoxicity. Using a peptide array screening approach on human amyloidogenic proteins, we found that SERF2 interacted with specific patterns of negatively charged and hydrophobic, aromatic amino acids. The absence of such patterns, or the neutralization of the positive charge in SERF2, prevented these interactions and abolished the amyloid-promoting activity of SERF2. In a protein aggregation model in the nematode C. elegans, protein aggregation was suppressed by mutating the endogenous locus of MOAG-4 to neutralize charge. Our data indicate that charge interactions are required for MOAG-4 and SERF2 to promote aggregation. Such charged interactions might accelerate the primary nucleation of amyloid by initiating structural changes and by decreasing colloidal stability. Our finding that negatively charged segments are overrepresented in amyloid-forming proteins suggests that inhibition of charge interactions deserves exploration as a strategy to target age-related protein toxicity. Significance StatementHow aging causes relatively common diseases such as Alzheimers and Parkinsons is still a mystery. Since toxic structural changes in proteins are likely to be responsible, we investigated biological mechanisms that could drive such changes. We made use of a modifying factor called SERF2, which accelerates structural changes and aggregation of several disease-related proteins. Through a peptide-binding screen, we found that SERF2 acts on negatively charged protein regions. The abundance of such regions in the disease-related proteins explains why SERF has its effect. Removing positive charge in SERF was sufficient to suppress protein aggregation in models for disease. We propose that blocking charge-interactions with SERF or other modifiers could serve as a general approach to treat age-related protein toxicity.

molecular biology↗

bioRxiv2020

Observation of an α-synuclein liquid droplet state and its maturation into Lewy body-like assemblies

Misfolded -synuclein is a major component of Lewy bodies, which are a hallmark of Parkinsons disease. A large body of evidence shows that -synuclein can self-assemble into amyloid fibrils, but the relationship between amyloid formation and Lewy body formation still remains unclear. Here we show, both in vitro and in a C. elegans model of Parkinsons disease, that -synuclein undergoes liquid-liquid phase separation by forming a liquid droplet state, which converts into an amyloid-rich hydrogel. This maturation process towards the amyloid state is delayed in the presence of model synaptic vesicles in vitro. Taken together, these results suggest that the formation of Lewy bodies is linked to the arrested maturation of -synuclein condensates in the presence of lipids and other cellular components.

molecular biology↗

bioRxiv2018

Transcriptomics-based screening identifies pharmacological inhibition of Hsp90 as a means to defer aging

Aging is a major risk factor for human morbidity and mortality. Thus, the identification of compounds that defer aging, also known as geroprotectors, could greatly improve our health and promote a longer life. Here we screened for geroprotectors, employing the power of human transcriptomics to predict biological age. We used age-stratified human tissue transcriptomes to generate machine-learning-based classifiers capable of distinguishing transcriptomes from young versus old individuals. Then we applied these classifiers to transcriptomes induced by 1300 different compounds in human cell lines and ranked these compounds by their ability to induce a youthful transcriptional state. Besides known geroprotectors, several new candidate compounds emerged from this ranking. Testing these in the model organism C. elegans, we identified two Hsp90 inhibitors, Monorden and Tanespimycin, which substantially extended the animals lifespan and improved their health. Hsp90 inhibition specifically induces the expression of heat shock proteins, known to improve protein homeostasis. Consistently, Monorden treatment improved the survival of C. elegans under proteotoxic stress, and its lifespan benefits were fully dependent on the master regulator of the cytosolic unfolded protein response, the transcription factor HSF-1. Taken together, we present an innovative transcriptomics-based screening approach to discover aging-preventive compounds and highlight Hsp90 inhibitors as powerful geroprotectors that could be of great value, to target the aging process in humans.

cell biology↗

bioRxiv2018

Fast fluorescence lifetime imaging reveals the maturation process of α-synuclein aggregates in ageing Caenorhabditis elegans

The nematode worm Caenorhabditis elegans has emerged as an important model organism to study the molecular mechanisms of protein misfolding diseases associated with amyloid formation because of its small size, ease of genetic manipulation and optical transparency. Obtaining a reliable and quantitative read-out of protein aggregation in this system, however, remains a challenge. To address this problem, we here present a fast time-gated fluorescence lifetime imaging (TG-FLIM) method and show that it provides functional insights into the process of protein aggregation in living animals by enabling the rapid characterisation of different types of aggregates. More specifically, in longitudinal studies of C. elegans models of Parkinsons and Huntingtons diseases, we observed marked differences in the aggregation kinetics and the nature of the protein inclusions formed by -synuclein and polyglutamine. In particular, we found that -synuclein inclusions do not display amyloid-like features until late in the life of the worms, whereas polyglutamine forms amyloid characteristics rapidly in early adulthood. Furthermore, we show that the TG-FLIM method is capable of imaging live and non-anaesthetised worms moving in specially designed agarose micro-chambers. Taken together, our results show that the TG-FLIM method enables high-throughput functional imaging of living C. elegans that can be used to study in vivo mechanisms of aggregation and that has the potential to aid the search for therapeutic modifiers of protein aggregation and toxicity.

biophysics↗