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Open Access Biostatistics & Bioinformatics

Global Chronic Disease Burden Can Be Reduced by Taking Care of Our Mitochondria

Vanathi Gopalakrishnan*

Department of Biomedical Informatics, School of Medicine, USA

*Corresponding author: Vanathi Gopalakrishnan, Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA

Submitted: December 13, 2023; Published: August 22, 2024

DOI: 10.31031/OABB.2024.03.000573

ISSN: 2578-0247
Volume3 Issue5

Abstract

This article presents observations and insights from more than two decades of biomedical data mining and predictive modeling research studying diverse aspects of health and disease. It has led the author to reevaluate modern life and how lived experiences in many parts of the world can now be more easily examined for their scientific validity with the help of recent biomedical technological advancements. Our mitochondria are multi-faceted and the next generation of humans will need to develop a strong scientific understanding of their importance to our health. The mind-body connection is also now being investigated through researching the networks of mitochondrial bioenergetics. Herein, a first simple algorithm for healthy aging is introduced as a method to reduce chronic disease burden globally by synthesizing insights from literature and experience. This work is aimed to jump start the collection of Algorithms for Healthy Aging (AHA) in the context of global populations in their locally lived generational experiences, which may have underlying scientific bases that are yet to be discovered and validated.

Introduction

Nikola Tesla pointed us in the right direction when he said “If you want to find the secrets of the universe, think in terms of energy, frequency, and vibration.” I have spent more than two decades collaborating with biomedical scientists looking for biomarkers that underlie disease and health states. My laboratory for Pattern Recognition from Biomedical Evidence (PRoBE) in the Department of Biomedical Informatics at the University of Pittsburgh’s School of Medicine has analyzed biomedical datasets for early detection of diverse diseases including neurodegenerative Amyotrophic Lateral Sclerosis (ALS), cancers of the breast, lung, and esophagus, Ulcerative Colitis, microbiomes, heart disease and even spinal aging. Bioinformatics analyses include the mapping of markers from various omics such as proteomics, transcriptomics or metabolomics into known regulatory or metabolic pathways to help design and conduct validation studies that can lead to the translation of findings into useful tests for screening or therapy.

During the first decade of our analytical work studying various neurodegenerative diseases and heterogenous cancers, markers of inflammation, the now-well published immuno-metabolic concept of “inflammaging” was clearly a pathological driver. Additionally, it is already well-known that diseases such as type 2 diabetes are often driven by “overeating” (possibly caused by poor nutrients in the food) which causes chronic inflammation. While studying cardiovascular disease which is often a consequence of poor diet and exercise, and a known long-term complication of diabetes, it became clear to me that metabolism plays a very important role in chronic disease burden. As we researched further into the gut microbiome in infectious disease, the role of environmental toxins, and aging related data I became interested in following Tesla’s fundamental direction, namely energy.

Background

Having a family history of diabetes and chronic fatigue, I was determined to understand more about what actions I could undertake to stave off chronic disease and its associated burden, while increasing or sustaining my energy levels as I aged. When working with federated electronic health data in a recent collaboration, I started researching more about the fundamental issues that lead to Type 2 Diabetes Mellitus, referred to as diabetes herein. Insulin Resistance (IR) is a major factor it appears, along with dyslipidemia and hyperglycemia [1]. For Cardiovascular Disease (atherosclerosis), IR and mitochondrial dysfunction have been implicated as pathological processes in clinical investigations [2]. Furthermore, researchers have now linked metabolic health which refers to how our cells generate energy from the bioavailability of nutrients in our bloodstreams, to IR. Since IR seemed to be a common marker in this development of chronic disease, I looked at whether doctors are able to measure IR. The gold standard test for measuring insulin sensitivity is the Hyperinsulinemic Euglycemic Clamp (HEC), which is time consuming and expensive. Therefore, other surrogate markers have been developed in the literature.

The Homeostasis Model Assessment of Insulin Resistance (Homa-IR) index, developed first in 1985 by Matthews et al. [3] indirectly quantifies IR and pancreatic β-cell function, but it has to be calibrated carefully as cut-offs vary among different populations. HOMA-IR is calculated using a timely assessment of fasting glucose and insulin concentration. This and other models for quantifying insulin sensitivity are discussed in [4]. These tests are not prescribed to many of us who are at risk for developing IR and diabetes. Those with a family history of diabetes are usually prescribed a Hemoglobin A1c (HbA1c) test which has established cutoff value ranges for prediabetes and diabetes. The problems with HbA1c tests are that many subpopulations including Asians have co-morbidities of thyroid dysfunction which require a non-standard interpretation of the HbA1c numbers [5,6]. Therefore, more precise non-invasive methods for measuring insulin sensitivity are needed.

Another important aspect that I believe is not properly managed by current medical education and practice is the proper administration of insulin. This is because we are not measuring insulin spikes which is not the same as blood glucose spikes. There is a possibility that IR is due to the fact that our body does not need to store any more energy. Diabetes can be reversed if caught early and metabolic functions can be restored if one understands what is happening from a mitochondrial and energy perspective. As beautifully described in the article [7], the mitochondria are especially susceptible to nutrient deficiencies, environmental toxins, and oxidative damage, and are implicated in many modern diseases including: Cardiovascular disease, Diabetes, and Parkinson’s disease to name a few. Other diseases listed in Table 1 in [7] include: Early aging, ALS, Alzheimer’s disease, Autism, Chronic fatigue syndrome, Dementia, Huntington’s disease, and Migraine headache. Alcohol, many prescription drugs, persistent organic pollutants and many other factors contribute to mitochondrial DNA (mtDNA) damage. Mitochondrial damage can also lead to the vicious cycle of oral and systemic disease [8].

The modern diet of refined and packaged baked goods can lead to a leaky gut, which can also lead to cardiovascular disease. Also, our microbiome can be washed out by a course of antibiotics and could lead to immune system response issues in cancer for example. In analyzing datasets containing metabolic markers of cardiovascular disease, it was clear that almost a third of patients who did not survive adverse cardiac events had toxicity build-up in the body [9]. Mitochondria are important organelles for opening up certain significant detoxification processes in our bodies which happens through signaling. Mitochondria are also involved in recycling of cells-called autophagy; as well as mitophagy, which ensures clearing away of cells and organelles that are damaged. To support health, therefore, it is important to have mitochondria that can perform their various physiological functions effectively [10].

It is important for us to note that mtDNA is transferred mostly via maternal ancestry. Thus, our mitochondria likely formed in our grandmother or great-grandmother. Many cultures therefore historically protected women because of their importance to the future health of generations to follow. The mind-mitochondria connection has also been established [11], and Martin Picard’s Mitochondrial Psychobiology laboratory is moving this field forward. As discussed in interviews given by Picard, there are at least three ways to keep our mitochondria healthy: (1) Get physically active- moving your body improves circulation and more importantly, improves Mitochondrial biogenesis such as in muscle cells as moving stimulates the number and quality of mitochondria; (2) Not eating too much- excess nutrients can damage mitochondria, and it has been observed that Mitochondrial networks can disintegrate with nutrient overload. If we can give our digestive system a rest for cells to be at their best via some form of personalized intermittent fasting routines, it may optimize mitochondrial health, for example; (3) A positive attitude as psychological well-being- it has been shown that connectedness and positive feelings or experiences drive mitochondrial health. The Bioenergetic Health Index (BHI) gave a new concept in mitochondrial translational research in the emerging field of Bioenergetics [12]. More recently, the Mitochondrial Health Index (MHI) was developed and used to demonstrate the association between positive mood and mitochondrial functional health using human immune cells [13].

Method

Based on my experience and research into health and disease and how we may age in a healthy manner, I present in Figure 1, a first algorithm for healthy aging. As we create more algorithms for healthy aging that can include different social contexts, we can create a compendium of Algorithms for Healthy Aging (AHA). Many biomarker studies have yielded interesting clues to exceptional longevity, a most recent one being a report from a 35‑year follow‑up of the Swedish cohort of centenarians and noncentenarians [14]. Their findings reported a few common trends among people over 65 who went on to become centenarians (n= 1224, out of total=44,636 participants) in their blood biomarker profiles. These observations were that higher levels of total cholesterol and iron, and lower levels of Glucose, Creatinine, Uric Acid, Aspartate Aminotransferase, Gamma-Glutamyl Transferase, Alkaline Phosphatase, total iron-binding capacity, and lactate dehydrogenase were associated with a greater likelihood of becoming a centenarian. Genetics and lifestyle factors are known to play a role in exceptional longevity and therefore, such studies are likely to yield variable insights depending on the study characteristics and population. Nevertheless, the significant role that mitochondria play in the intracellular signaling reveals their vital importance in the maintenance of our health through energy production (metabolism), maintaining redox balance (homeostasis), and eliminating damaged cells and organelles (apoptosis and mitophagy) through cell-fate determination [15].

Figure 1:A simple AHA: Algorithm for Healthy Aging.


It is also well-known that nuclear DNA mutates less often than mitochondrial DNA because of energy optimization strategies. As research progresses in our understanding of mitochondrial structure and function relevant to human health and disease, I believe that we will get closer to the secrets of the dynamic cycles of creation, preservation, and destruction at the cellular level. The overwhelming evidence in recent literature [16] combined with my own observations seem to align very well with the theory of an underlying mitochondrial basis for most chronic diseases of body and mind. Therefore, to reduce the global burden of chronic disease, we must take care of our mitochondria through physical activity for mitochondrial biogenesis, eating smaller portion sizes of nutrient-dense and plant-based fiber food that satiates the body for longer periods of time along with some form of intermittent fasting as we age, and maintaining a positive attitude, as starting points to transforming our human experience. The future of work should include these vital aspects of health and well-being into our workplaces to allow a collective unfolding of healthful practices that humanity embraces as a whole (Figure 1).

Conclusion


This article provided a brief introduction to how we can reduce chronic disease burden globally, by introducing a simple first algorithm for healthy aging. This work is aimed to jump start the collection of Algorithms for Healthy Aging (AHA) in the context of global populations in their locally lived generational experiences, which may have underlying scientific bases that are yet to be discovered and validated. Our mitochondria are indeed multi-faceted, playing an important role in our physical and mental health, and taking care of them while enhancing our scientific understanding of their underlying biochemistry will be crucial for the human species. It is of no surprise therefore, that medical students begin their curricular study with the topic of inborn errors of metabolism as a major diagnostic challenge. It would be a wonderful achievement for the human race if metabolic health could be generationally guarded through global AHA practices that are collaboratively designed and developed in alignment with the sustainable development goals of the United Nations and the integrative well-being of women and children. Such practices will be generated from community-based evidence and lead to both general and specific health care guidelines tailored to local geographical and cultural contexts across our human lifespan.

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© 2024 Vanathi Gopalakrishnan. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and build upon your work non-commercially.