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21 June 2024 | Story André Damons | Photo Suplied
Dr Claudia Ntsapi
Dr Matlakala C Ntsapi is a Senior Lecturer and researcher in the Department of Basic Medical Sciences at the UFS.

A researcher from the University of the Free State (UFS) is investigating the potential benefits of medicinal plants as supplementary treatments for neurodegenerative diseases such as Alzheimer’s, Parkinson’s and Huntington’s diseases.

The work of Dr Matlakala Claudia Ntsapi, Senior Lecturer in the Department of Basic Medical Sciences at the UFS, focuses on preserving human brain health to delay or prevent age-related conditions.

According to her, while the primary focus is on age-related neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and Huntington’s, the bioactive compounds in these medicinal plants may also have therapeutic potential for other neurological disorders, various types of cancers and Type 2 Diabetes. The broad protective effects of these plant-based bioactive compounds could make them relevant in the potential treatment of other diseases involving oxidative stress and inflammation.

She is involved in several multidisciplinary projects, collaborating with research experts from Denmark, the UK, and various national institutions such as the Central University of Technology (CUT), North West University (NWU), and the Stellenbosch University (SUN), as well as colleagues from the UFS. 

The potential of medicinal plants

“In collaboration with experts from our institution, the CUT and SU, who have strong backgrounds in pharmacology and ethnobotany, we are focusing on underexplored medicinal plants and nutraceuticals. These plants contain bioactive compounds with potential neuroprotective properties, which are believed to provide extra health benefits beyond basic nutritional value,” says Dr Ntsapi.

“We hope that these medicinal plants have the potential to preserve cognitive function and slow the progression of neurodegenerative diseases like Alzheimer’s. Specifically, we aim to identify novel therapeutic targets and discover new avenues for intervention that can improve the quality of life for individuals affected by age-related brain conditions,” she says.

Identifying therapeutic targets and discovering new interventions

The bioactive compounds found in selective medicinal plants and nutraceuticals, explains Dr Ntsapi, serve as a promising source of ‘natural’ therapeutics that may be safer and have fewer side effects compared to conventional synthetic drugs. Additionally, the untapped potential of these compounds for neuroprotection and the preservation of brain health could provide innovative therapeutic solutions. These compounds may be used as complementary therapies to existing drugs, which often have limited efficacy on their own, thereby enhancing overall treatment outcomes for neurodegenerative diseases.

“By utilising cutting-edge techniques, such the innovative CelVivo ClinoStar 2 System, we strive to gain insights into the safety and efficacy of underexplored medicinal plants in preserving cognitive function and slowing disease progression.

“By exploring the untapped potential of bioactive compounds found in medicinal plants and nutraceuticals, our research group aims to contribute to the identification of novel therapeutic targets and the discovery of new avenues for intervention to improve the quality of life for individuals affected by age-related brain conditions,” says Dr Ntsapi.

The researchers, in collaboration with others in the UFS School of Clinical Medicine, will develop 3D cell-based models of the human cortex and hippocampus by utilising the CelVivo ClinoStar 2 System. This cutting-edge technology, housed in an easy-to-use CO² incubator, mimics ‘animal model-like’ conditions with low sheer stress, allowing scientists to generate cell-based models that closely resemble real-world conditions.

Dr Ntsapi explains that they will specifically focus on the technologies’ applications in studying age-related neurodegenerative disorders, such as Alzheimer’s disease. The potential impact of this research is immense, as it could contribute to the development of novel therapeutic strategies for combating the debilitating progression of neurodegenerative diseases, and ultimately improving the quality of life for affected individuals.

Hope for the research

“Our hope for this research is to significantly advance our understanding of neurodegenerative disease progression and to develop novel therapeutic strategies that can effectively combat these debilitating conditions. Ultimately, we aim to improve the quality of life for individuals affected by neurodegenerative diseases by preserving cognitive function and slowing disease progression.

“This research will contribute to the knowledge pool in this field, with the potential to lead to groundbreaking discoveries in the treatment of Alzheimer’s disease and other related disorders, potentially contributing to the policy guidelines on how these conditions are managed and treated,” she says.

The international partners from Denmark and the UK have made their expertise and facilities available to postgraduate students from the UFS, some of whom they are co-supervising.

Dr Ntsapi, who is passionate about exploring innovative solutions to address the gradual decline in normal brain function associated with aging, was this year one the university’s nominations for the prestigious 2023/2024 NSTF-South32 Awards, popularly known as the “Science Oscars” of South Africa. 

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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