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Genetic risk scores for Parkinson鈥檚 for precision medicine approach

  • Luxembourg Centre for Systems Biomedicine (LCSB)
    23 May 2024
  • Category
    Research
  • Topic
    Life Sciences & Medicine

An interdisciplinary team from the Luxembourg Centre for Systems Biomedicine (LCSB) at the 8xav福利导航 of Luxembourg, together with international collaborators, established that a combination of small variations in genes regulating mitochondria, an important component of human cells, is associated with a higher risk for Parkinson鈥檚 disease. For the first time in the field, the researchers demonstrated that these genetic predictions translate into mitochondrial dysfunction in cellular models derived from Parkinson鈥檚 patients with a high polygenic risk score. Importantly, using data from a recent clinical trial for a drug targeting mitochondria, they also showed that Parkinson鈥檚 patients with high risk scores responded better to the treatment. These results, , pave the way for intelligent clinical trial designs and will have a considerable impact on precision medicine for Parkinson鈥檚 disease.

Parkinson鈥檚 disease is the fastest growing neurodegenerative disorder, affecting around 2% of the population over the age of sixty. Unravelling the complex genetic architecture of this disease remains a major challenge. While familial forms due to a single mutation account for 5 to 10% of all cases, the contribution of genetics in the remaining patients is poorly understood. Studies now suggest that a combination of common variations, called variants, in multiple genes may act as a risk factor for the disease. To explore their joint impact, polygenic risk scores have been developed by the research community in recent years.

Polygenic risk: Measuring the combined effect of multiple genetic variants

The idea is to estimate the risk associated with the sum of the different genetic variants carried by an individual. 鈥淢ost common variants have little to no effect, but when combined with several others, they can become relevant to the disease,鈥 explains Dr Patrick May, researcher in the LCSB Bioinformatics Core. He led the genetic analysis for this study together with Dr Zied Landoulsi who continues: 鈥淲e use statistics from large-scale genetic studies to understand if each variant is associated with the disease or a specific trait. By adding up the estimated effects of these small changes in several genes, we can calculate a risk score and hopefully identify people with a higher likelihood of developing Parkinson鈥檚 disease.鈥

Additionally, for disorders that are very heterogeneous, with a wide array of genes and molecular mechanisms involved, this type of approach could be useful to stratify patients, meaning divide them into different groups, enabling precision medicine. Patients having a high polygenic risk score for genes that regulate a specific biological function could for example be more responsive to drugs targeting this specific pathway.

Identifying patients with impaired mitochondria

鈥淚t is well-known that mitochondria, the powerhouses of our cells, play a role in Parkinson鈥檚 disease. There is evidence that points to mitochondrial dysfunction as an early and causative event in the pathogenesis,鈥 explains Prof. Anne Gr眉newald, head of the Molecular & Functional Neurobiology group. 鈥淪o, we worked on the hypothesis that some patients may harbour a combination of variants in different nuclear-encoded mitochondrial genes that contributes to neurodegeneration.鈥

Working on datasets from two large and well-characterised cohorts, the and , the researchers calculated mitochondria-specific polygenic risk scores for over 14.000 patients and controls. They demonstrated that having multiple common mutations in genes regulating a specific mitochondrial pathway, namely oxidative phosphorylation (OXPHOS), is significantly associated with the disease. 鈥淭hese first results reinforce the idea that impaired mitochondrial respiration is a relevant aspect in Parkinson鈥檚 disease and indicate that polygenic risk scores provide a tool to genetically stratify patients, allowing us to effectively identify a subgroup of people with relevant alterations of mitochondrial function,鈥 details Dr Giuseppe Arena, researcher in the Translational Neuroscience group and one of the first authors of this study.

Validating genetic scores in patients鈥 cells

Next, the researchers wanted to determine whether these specific genetic risk scores could be linked to corresponding characteristics in patient cells. They performed functional experiments in skin cells donated by participants of the Luxembourg Parkinson鈥檚 Study and in neuronal progenitors derived from these skin cells in the lab. In both cases, they observed significant differences in mitochondrial respiration between the cells of patients with high and low risk scores for the OXPHOS pathway. 鈥淔or the first time in this field, our study validated the existence of profiles in the cellular models corresponding to the calculated risk scores,鈥 underlines Dr Arena.

And testing their relevance for clinical trials

In the last part of the study, the team investigated if using polygenic risk scores for patient stratification could help identifying people who are more responsive to drugs specifically targeting mitochondria. To this end, they retrospectively classified participants from a according to the same mitochondria-specific risk scores. The trial, led by from the 8xav福利导航 of Sheffield and from 8xav福利导航 College London, focused on treatment with a compound known to rescue mitochondrial function. The results showed that patients with a high risk score responded more effectively to the treatment, further corroborating the potential of this genetic stratification approach.

    鈥淚t is really exciting to see how using mitochondria-specific risk scores could allow for the selection of more homogenous patient groups for mitochondria-centred clinical trials,鈥 highlights Prof. Anne Gr眉newald. 鈥淚t provides an accurate tool to identify patients with altered mitochondrial function, who will benefit the most from targeted therapies. Additionally, as increased mitochondrial risk is often associated with early onset of the disease, people with very high scores could also benefit from preventive treatments in the future.鈥

    鈥淭hese results are a milestone for precision medicine in Parkinson鈥檚 disease and therefore relevant for clinicians and scientists engaged in translating fundamental research into concrete therapeutic interventions,鈥 concludes Prof. Rejko Kr眉ger, head of the Translational Neuroscience group and coordinator of the . 鈥淥ur findings were only possible due to the comprehensive design of the Luxembourg Parkinson鈥檚 study, allowing not only for genetic screening but also functional analyses of patient-based cellular models from the same individuals. This strategy will open the door to further collaborations with new partners testing targeted compounds for slowing disease progression.鈥

    Reference: Giuseppe Arena, Zied Landoulsi, Dajana Grossmann, Thomas Payne, Armelle Vitali, Sylvie Delcambre, Alexandre Baron, Paul Antony, Ibrahim Boussaad, Dheeraj Reddy Bobbili, Ashwin Ashok Kumar Sreelatha, Lukas Pavelka, Nico Diederich, Christine Klein, Philip Seibler, Enrico Glaab, Thomas Foltynie, Oliver Bandmann, Manu Sharma, Rejko Kr眉ger, Patrick May and Anne Gr眉newald, , Annals of Neurology, 20 May 2024.

    Reference of the clinical trial: EudraCT no. 2018鈥001887-46

    Funding: This study was supported by the (FNR) and the (DFG).

    Meet the researchers

    • Prof Anne GR脺NEWALD

      Prof Anne GR脺NEWALD

      Full professor / Chief scientist 1

    • Prof Rejko KR脺GER

      Prof Rejko KR脺GER

      Full professor in Neurosciences 鈥 FNR PEARL Chair

    • Dr. Patrick MAY

      Dr. Patrick MAY

      Research scientist

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