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American Journal of  Medical 
Science and Innovation (AJMSI) 

The Prevalence of  the Causes of  Diseases, under a Cause-Effect Approach
Victor Alfonso Abuadili Garza1*

Volume 4 Issue 2, Year 2025
ISSN: 2836-8509 (Online)

DOI: https://doi.org/10.54536/ajmsi.v4i2.6119
https://journals.e-palli.com/home/index.php/ajmsi

Article Information ABSTRACT

Received: August 12, 2025
Accepted: September 09, 2025
Published: November 24, 2025

We have focused on paying attention to disease, knowing how to diagnose it, how to treat 
it, how to “eliminate” or control it. But I assure you that very few people in this world have 
become aware and consistent, and instead of  thinking about eliminating the disease, they 
think about preventing it from developing. After years of  research, this author has concluded 
that, according to the International Code of  Diseases (ICD-11), there are more than 44,000 
reported diseases, and more are described each year; however, there are only ten causes for 
all diseases. This study seeks to determine the prevalence of  the Causes of  Diseases under 
the Cause - Effect perspective, for which we use the methodology of  the System for the 
Application of  Techniques for Metabolic Diagnosis (ATDM System), we have carried out a 
multicenter, multi-country clinical study, where we use our Big data platform for the analysis 
of  data obtained from more than 6,000 people, and we have been able to identify through 
Bioimpedance and Capillaroscopy tests, various patterns that allow us to determine this 
prevalence of  the Causes of  Diseases, which opens a new and disruptive field of  research.

Keywords
Bioimpedance, Capillaroscopy, 
Causes of  Diseases, Metabolic 
Diagnostic Techniques Application 
System (ATDM System), 
Prevalence 

1 Universidad Nacional Autónoma De México (Unam), Mexico
* Corresponding author’s e-mail: abuadili@yahoo.com.mx

INTRODUCTION
Modern medicine is currently undergoing an 
unprecedented revolution, unlike anything ever before 
in the history of  medicine. We have access to as much 
information as we do today. Books are already obsolete 
within a few months, and medical and scientific articles 
are surpassed every day by new research. Medical students 
used to spend many hours in libraries. Today, they 
have access to the latest publications through scientific 
metasearch engines on the Internet (Alfonso, 2019).
We have focused on paying attention to disease, knowing 
how to diagnose it, how to treat it, how to “eliminate” or 
control it. But I assure you that very few people in this 
world have become aware and consistent, and instead of  
thinking about eliminating the disease, they think about 
preventing it from developing (Alfonso, 2019).
As described by the Argentine-Mexican researcher and 
philosopher Enrique Dussel, who says: “It is nothing to 
discover something new, you have to discover why you are 
discovering,” (Alfonso, 2019) and it is that for decades, the 
same preventive schemes have been applied in primary 
health care, without any impact or direct results to avoid the 
development of  diseases, since there is a scienticide,(Dussel, 
E. 2019)  in relation to the fact that it is about preventing 
from a focus on the effect, that is, preventing the diseases 
themselves; however, with scientificidal actions, the 
knowledge of  those scientific developments, focused on 
addressing the causes that originate the diseases, is blocked 
(Dussel, 2024).
It’s difficult to study an organism as complex as the human 
being; and analyzing the living matter that acts and reacts 
at every moment in our body, from the simplest to the 
most complex that is, from an apparatus or system to the 
most complex level, which is atomic or quantum reactions 

has been the main challenge of  modern medicine.
In 2010, this author began to investigate to improve his 
own health by starting with problems of  an uncontrolled 
Metabolic Syndrome that led me to be hospitalized in 
intensive care for two weeks due to a case of  Baltazar 
4 triglyceride pancreatitis, (Garza, 2025) and then, after 
more than two months in the hospital, and being one 
of  the few survivors of  this disease, being hospitalized, 
referred and under a new paradigm, when asking myself, 
why? Why me? This author Victor Alfonso Abuadili 
Garza from 2010 to 2019, studies metabolism through 
the use of  Capillaroscopy, a diagnostic technique that 
stands as an element of  great importance for different 
areas of  modern medicine, since its operation is based 
on the interaction of  light - matter, which is a basic 
mechanism that is used every day, to obtain information 
about the Causes of  the Diseases (Castro & Castro, 2003)
Capillaroscopy is a non-invasive, real-time, low-cost, high-
impact diagnostic tool that is easy to perform, even in the 
doctor’s office or during health workshops or outreaches 
anywhere in the world, and requires no consumables. 
Its use is currently expanding to different branches of  
medicine, gaining momentum under a preventative-
predictive model. (Franz Klein-Weigel et al., 2016).
The integration, measurement, and consolidation of  
Metabolic Assessment Patterns (MAPs) is consolidated 
as the pioneering study of  the Metabolic Diagnostic 
Techniques Application System (ATDM System). This 
system provides a big data statistical-analytical platform, 
using a multicenter, multi-country protocol, providing 
information on the health status of  individuals, groups, 
regions, and countries. This raises the prospect of  its 
global expansion as the only preventative-predictive 
health system (Rios-Acosta et al., 2016).



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Study Objective
The objective of  this study is to determine the incidence 
and prevalence of  the Causes of  Diseases in the 
population studied using the Metabolic Diagnostic 
Techniques Application System (ATDM System).

Hypothesis
We can measure the incidence and prevalence of  the 
Causes of  Diseases.

Null Hypothesis
We can´t measure the incidence and prevalence of  the 
Causes of  Diseases.

LITERATURE REVEW
There are universal laws that no one can escape, one of  
them being the Law of  Cause and Effect. This law makes 
us see that nothing in life is a matter of  chance, and that 
there is always a relationship between what has happened 
and what follows (Díaz Camacho, 2010).
“Every cause has its effect, and every effect has it´s cause, 
everything happens according to law, luck is nothing 
more than the name given to an unknown knowledge.”

Victor Alfonso Abuadili Garza
The Law of  Cause and Effect is a law of  life that many 
people don’t take into account, and it is truly important 
to achieve good results in all aspects of  our lives. It is a 
law that works perfectly on all levels and brings to fruition 
everything we sow, whether in thought, word, or action. 
This means that everything we do sets a cause in motion, 
and this brings a positive or negative consequence, which 
will depend on the cause set in motion. There is no 
idiopathic, good luck or bad luck, only results. The law of  
cause and effect is omnipresent. It’s everywhere, so you 
can’t get rid of  it (Abuadili Garza, 2025).
The cost of  modern living has had profound and 
disruptive implications in the field of  research, causing 
changes in the study of  disease etiology, as well as in 
disease treatment and prevention. To the point, if  we 
review medical literature using a metasearch engine 
like PubMed, the study of  glycation, oxidative stress, 
mitochondrial dysfunction, and microbiota accounts for 
80% of  recent publications in the last 10 years (Abuadili 
Garza, 2025).
Medical textbooks talk about diseases whose specific 
cause is perfectly known: bacteria, viruses, fungi, genetics, 
etc. But they also talk about idiopathic diseases, where the 
exact cause of  the disease is unknown. This generated 
a major hypothesis: “If  all diseases are the effect of  a 
cause, then there must always be a cause or combination 
of  causes. Therefore, we must change the paradigm of  
medical care and now ask ourselves: What are the causes 
of  diseases?” (Alfonso, 2023).
After years of  research, this author has concluded that, 
according to the International Code of  Diseases (ICD-
11), there are more than 44,000 reported diseases, and 
more are described each year; however, there are only ten 

causes for all diseases. Name the disease, but it will have 
one or more of  these 10 causes:

Hidden Hunger
In 2004, Josué de Castro defined “total hunger, the 
true famine that English speakers call starvation, a 
phenomenon generally limited to areas of  extreme 
poverty and exceptional contingencies, as the much 
more frequent and serious phenomenon; and the partial 
form, the so-called hidden hunger, in which, due to 
the permanent lack of  certain nutritional elements in a 
normal diet, entire population groups are left to slowly 
die of  hunger, despite eating daily” (Hood & Vikram, 
2015).
According to the World Health Organization (WHO), 
hidden hunger is defined as the non-explicit need for 
one or more nutrients that are essential for the proper 
functioning of  the body. This health problem is estimated 
to affect two billion people worldwide (Weffort & 
Lamounier., 2024; Lowe, 2021).

Systemic Intoxication
Systemic intoxication is caused by processes that 
our own body develop and that affect our health in 
different ways (Alfonso, 2023). These processes can 
be exogenous when they are due to an impact on the 
body, metabolism, or cellular function, derived from a 
physical, chemical, or biological agent acquired from 
the environment, such as toxicology or exposure to 
allergens; while endogenous intoxication is caused by 
physical, chemical, or biological processes that occur 
within our own body (de Arcos & Leiva, 2021). Of  
the latter, we can see cross-fermentation (aerobic with 
anaerobic) caused by bacteria in the intestine when 
eating certain combinations of  foods, partial oxidation 
of  methane, and Leaky Gut Syndrome (Burneo, 2024).

Formation of  a Proinflammatory State
Silent system inflammation is characterized by elevated 
circulating levels of  inflammatory cytokines, as well 
as increased infiltration of  macrophages in peripheral 
tissues.
This inflammatory scenario does not induce injury or 
loss of  functionality in the infiltrated tissue, a distinctive 
feature of  a state of  low-grade systemic inflammation.
(José Israel León-Pedroza et al., 2015). Low-grade systemic 
inflammation is closely related to the development of  
chronic degenerative diseases, which is why this state of  
immune alteration has also been called meta inflammation 
(Li et al., 2023).
There are many causes for the formation of  a 
proinflammatory state. However, the main one is the 
presence of  glycation in the tissues. This biochemical 
process that makes up the Maillard Reaction, causes the 
formation of  Glycation End Agents (AGEs) that generate 
an inflammatory immunological reaction. (Actis Dato & 
Rebolledo, 2000). Today we know that these AGEs are 
related to diet and especially to the complications of  



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Diabetes; but recently Dr. Victor Abuadili, thanks to his 
discovery by Capillaroscopy, published that the Maillard 
Reaction is a concatenation of  biochemical reactions 
that occur over a period of  72 hours, generating insulin 
resistance and that after this period of  time, a process of  
NON-enzymatic Condensation begins for the conversion 
of  Carbohydrates into LDL Cholesterol that adheres to 
the tissues, initiating a De Novo Lipogenesis, which in the 
long run triggers obesity, thus closing the vicious circle of  
inflammation (Abuadili Garza, 2025).

Redox Imbalance
Redox imbalance reactions are those caused by changes 
in the redox chemical reactions caused by free radicals 
that affect our bodies. REDOX is the name given to a 
chemical reaction that involves the transfer of  electrons 
between different reactants, leading to a change in the 
state of  oxidation. In these reactions, one element loses 
electrons, and another receives them. 
A free radical is an atom, molecule, or compound that is 
highly unstable due to its atomic or molecular structure 
(i.e., the distribution of  electrons within the molecule). As 
a result, free radicals are highly reactive, attempting to pair 
with other molecules, atoms, or even individual electrons 
to create a stable compound. Upon achieving a more 
stable state, free radicals can “steal” electrons from another 
molecule, bind to another molecule, or interact in various 
ways with other free radicals (Baynes & Thorpe, 1995).
Due to the inevitable formation of  these free radicals, 
living beings have had to find a way to survive in this 
oxidizing environment created by their own functioning, 
and the appropriate evolutionary response to counteract 
the damage that these reactive species could cause has 
been the development of  antioxidant systems. This 
implies that, to consider the situation occurring in an 
organism, it is necessary to assess the balance between 
the production of  reactive species and their elimination 
capacity, known as redox balance (Giugliano et al., 1995)
From the moment a human being is conceived, oxidation 
and reduction begin. The increase in free radicals 
generates cellular aging that is associated with a chronic 
inflammatory process, as an overexpression of  REDOX-
sensitive transcription factors is observed, which activate 
the transcription of  pro-oxidant enzymes in cellular 
aging. This causes the balance between pro-inflammatory 
and anti-inflammatory cytokines to be lost in favor of  the 
former. However, due to the cost of  modern living, there 
are various causes that accelerate this imbalance, such 
as air pollution, saturated fats, heavy metals, smoking, 
insecticides and pesticides, and stress (Baynes & Thorpe, 
1995; Giugliano et al., 1995).
Today, the role of  redox imbalance in the pathogenesis of  
various diseases is well known, including cancer, diabetes 
mellitus, cardiovascular diseases, neurodegenerative 
diseases, and more than 300 chronic degenerative diseases, 
which remain the main health problems worldwide 
(Evans et al., 2003).
Because of  the importance of  these REDOX reactions, 

and for our readers’ better understanding, we divide 
cellular reactions into five groups of  cellular stress: 
(Andersen et al., 2006)

a) Oxidative Stress.
b) Nitrostative Stress.
c) Hydrostative Stress.
d) Alkoxylic Stress.
e) Carbonylic Stress.

Cellular Acidity
The human body is in constant balance (homeostasis), 
and this balance encompasses several factors, such as 
fluids, electrolytes, temperature, hormones, etc. However, 
one of  these factors is the tight pH balance. The primary 
function of  this balance is to maintain a wide variety of  
bonds found in the organic components of  living beings, 
such as proteins, lipids, and carbohydrates, as well as 
other substances essential to their functioning, such as 
enzymes. When altered by pH, these substances can be 
implicated in the mechanism of  cellular injury (Zavala 
Cruz, 2008).
Cellular acidity is a process that occurs in the body’s cells 
when glucose metabolism, rather than through aerobic 
channels, shifts to anaerobic metabolism. Normally, 
when glucose is oxidized, it is metabolized into carbon 
dioxide, water, and energy. However, when this does 
not happen, either because the cell is lacking oxygen or 
because it is displaced by carbon monoxide, the cell is 
unable to produce energy.
Otto Heinrich Warburg, Nobel Prize winner in 
Physiology or Medicine in 1931, discovered that “Lack 
of  oxygen and cellular acidity are two sides of  the same 
coin: acidic substances repel oxygen; alkaline substances 
attract oxygen.” In other words, instead of  dying, as cells 
normally do, in an acidic environment, these cells survive 
by becoming abnormal cells. These cells are known as 
malignant cells, which do not respond to messages sent 
by the brain or those produced by the genetic code, 
DNA. Consequently, malignant cells grow indefinitely 
and without any order. This is cancer” (Veronica Huber 
et al., 2017).
In addition to the above, Herman Aihara, in his 
book Acid and Alkaline, tells us: if  the condition 
of  extracellular fluids, especially the blood, is acidic, 
the result will be fatigue, a tendency to catch colds, 
etc. When these fluids become even more acidic, our 
condition worsens with aches and suffering such as 
pain. Pain occurs in acidic environments. There is no 
pain in an alkaline environment.

Human Microbiome Imbalance
The Human Microbiome Project is the scientific project 
that is most effectively transforming human health. A 
small revolution in microbiology has discovered that 
many modern diseases are indeed related to the human 
microbiome (“microbiota” is the term used to refer to 
the collective of  microorganisms that exist in the human 
body; “microbiome” is the genes that code for these 



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microorganisms) (Moreno del Castillo et al., 2018).
Recent advances in the study of  microbiology and clinical 
medicine have demonstrated the importance of  human 
microbiome in health. Many studies have demonstrated 
the cross-interaction of  the microbiome with the 
intestinal nervous system and the consequent modulation 
of  brain activity (Ofelia, 2016).
It has also been shown that the metabolites produced by 
the gut microbiota modulate energy metabolism in all 
mitochondria in the body, since the levels of  hydrogen 
sulfide (H2S), produced by enteric bacteria, inhibit 
or activate cytochrome oxidase in the mitochondrial 
respiratory chain. This is also true of  the interaction 
between the microbiome and mitochondria in the 
epigenetic expression of  the cell nucleus in different 
tissue cells (Garza-Velasco et al., 2021).
The human microbiome is composed of  all the 
microorganisms, actions, and interactions of  these 
microorganisms, which we acquire at practically two crucial 
moments in our lives: at birth and during breastfeeding 
during the first 48 hours of  life. Therefore, we now know 
that our mothers inherit our bacteria, parasites, or fungi 
(Hou et al., 2022).
This microbiome is composed of  several types of  
microorganisms that make up the human microbiome. 
However, our readers may come into contact with some 
terms, and therefore I think it is important for you to coin 
the following concepts:
Microbiota = bacteria.
Macrobiota = parasites.
Mycobiota = fungi.

Mitochondrial Dysfunction
Mitochondria are cellular organelles derived from an 
ancestral symbiosis between prokaryotic bacteria that 
were phagocytosed by eukaryotic bacteria. During 
evolution, they became cellular mitochondria. 
These mitochondria lost many of  the genes of  prokaryotic 
bacteria and retained only a small genetic fraction that 
controls the synthesis of  67 proteins, including the genes 
that express 13 proteins in the respiratory chain. They 
are not only the source of  energy for cells, but also 
actively participate in muscle function, cell proliferation, 
the secretion of  hormones and antioxidant enzymes 
(SOD, GpX, and catalase), and in anabolic and apoptotic 
processes (Wilson, 2009).
The term mitochondrial disease encompasses a broad 
and heterogeneous set of  diseases due to a primary 
mitochondrial defect, characterized in most cases by 
impaired oxidative phosphorylation and a consequent 
alteration in energy production. 
Mitochondrial dysfunction arises in response to severe 
stress caused by tissue hypoxia, which activates an 
inflammatory cascade of  cytokines, interleukins, and 
tumor necrosis factor (TNF2α), inhibiting aconitase in 
the Krebs cycle, thereby disrupting energy production at 
the cellular level, causing mitochondrial dysfunction and 
even cell death (Hood & Vikram, 2015).

Lack of  Gene Expression Modulation
Today, it is no longer considered valid to assume that if  a 
person’s grandfather or father has a certain disease, that 
person will inherently have it. The Human Genome Project 
was one of  the most expensive and celebrated scientific 
initiatives in history. When this project concluded, the 
idea was that with the discovery of  the genome, certain 
“letters” of  the human genome individual genes could 
be changed and diseases easily corrected. (Jonides, 2004).
Genetic expression is determined by many factors. 
Generally speaking, all somatic cells in the body have 
the same genetic makeup. However, different cell types 
express different proteins and have different phenotypes. 
In other words, the same DNA can be used differently in 
different cell types, which is known as genetic expression 
(Michelle et al., 2007).

Lack of  Biofrequency Modulation
Human beings are matter and energy, and as this universal 
law states, “Energy is neither created nor destroyed, it 
only transforms.” Our body emits more than a trillion 
different frequencies that correspond to the working 
frequency of  our organs and even parts of  them. Any 
alteration in the function of  an organ or bodily system 
leads to an alteration of  it´s frequency (Pérez-Esteve et 
al., 2022).
Many diseases are due to biofrequency disturbances; 
diseases are due to the confusion of  bioenergy due to 
a disruptive connection. When diseases are caused by 
biofrequency disturbances, they affect the muscular 
system, the digestive system, and every other bodily 
system (Taboada Lugo, 2025).

Trauma
Trauma not only includes injuries from accidents, but also 
all conditions that cause trauma to the body’s structure, 
including surgeries. They generally follow the Law of  
Causality. There will always be a cause that originates an 
incident that causes harm.

MATERIALS AND METHODS
This article has a qualitative, documentary and 
propositional study approach, carrying out an exploratory, 
descriptive, explanatory, propositional and predictive 
study, for which, first this author proceeded to carry 
out a bibliographic review in Pubmed, Google Scholar, 
Latinindex and other metasearch engines, to determine 
the physical, biochemical, homeostatic factors, with the 
aim of  updating knowledge about the processes involved 
in the Causes of  Diseases.
Applying the methodology called “Metabolic Assessment” 
established in the ATDM System referenced in number 
1 to 7 of  the references, to corroborate our hypotheses, 
a clinical research was carried out where Bioimpedance 
and Capillaroscopy tests were performed on more than 
6,000 people (n=6031) of  both sexes, regardless of  age or 
health status, in Mexico, the United States, the Dominican 



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Republic, Guatemala, Puerto Rico and Colombia, taking 
a general medical history of  the patients and raising a 
database that will report the corresponding statistics in 
the results section. All were requested and signed their 
written consent to participate in the present study, and in 
the case of  minors, parental authorization.
To obtain these parameters, we performed a 
bioimpedance test on the sampled individuals using 
an Omron HBF-516B device, which obtained the 
bioimpedance parameters. We used BMI value to 
determine the individual’s nutritional status and analyzed 
body composition. If  muscle mass is decreased and fat 
mass is increased, we can infer the presence of  insulin 
resistance related to the proinflammatory state. Using 
metabolic age data, we can determine a redox imbalance 
if  it is increased, and hidden hunger if  it is decreased. 
Using visceral fat data, we determine lipid adhesion to 
vital organs.
Then we relate them to the Capillaroscopy images 
that were obtained in real time, using Bioresonance 
Capillaroscopes brands CMOS XW880, X crysta and 
Digilenz, with different magnifications, which are 
photographed directly from the screen of  the devices, 
to make an interrelation of  the Capillaroscopy with the 
Bioimpedance test.
We correlate the Bioimpedance test with the 
Capillaroscopy test, and we directly identify specific 
imaging patterns, which allow us to determine the 
causes of  diseases. Thus, the Nutritional Status pattern 
determines the processes of  Hidden Hunger, whether 
due to alterations in intake, absorption, or assimilation. 
Toxicology patterns determine exogenous systemic 
intoxication, while microbiome alterations related to the 
presence of  fungi and parasites (whether helminth eggs or 
protozoan trophozoites) indicate the presence of  Leaky 
Gut Syndrome, in addition to determining Microbiome 
Alteration. With the Proinflammatory Status pattern, 
we directly identify silent inflammation, in addition 
to lymphatic congestion and the presence of  fibrosis. 
With the Glycation pattern, we visualize the different 
phases of  the Maillard reaction and Non-Enzymatic 

Condensation. Likewise, with the redox imbalance 
pattern, we can see this same theme, identifying oxidative 
and nitrostative stress and their effects on tissues, and 
even on the biochemical reactions themselves, which are 
directly related to Mitochondrial Dysfunction. Likewise, 
the patterns of  altered capillary morphology and altered 
microcirculatory flow determine the lack of  genetic 
modulation and the lack of  biofrequency modulation, 
while certain components of  various patterns are 
associated with trauma.
The results of  these metabolic assessments are integrated 
into a clinical record, and the information and images 
are entered into our big data platform, the “System for 
the Application of  Techniques for Metabolic Diagnosis 
(ATDM System),” with the goal of  identifying, through 
capillaroscopy, the presence of  the different components 
of  the Maillard reaction as part of  tissue glycation. In 
a subsequent installment, we will provide a case-by-case 
and statistical account of  these assessments, since the 
objective of  this study is limited to the identification of  
histopathological processes that trigger the Causes of  
Diseases.

RESULTS AND DISCUSSION
We performed, using the methodology of  the System for 
the Application of  Techniques for Metabolic Diagnosis 
(ATDM System), the Bioimpedance and Capillaroscopy 
tests on patients (n=6031), where we observed that there 
is a direct proportional relationship among the various 
components that make up the Metabolic Assessment 
Patterns (MAP´s), with the causes of  the diseases.
When performing the metabolic assessment on individuals, 
each metabolic assessment reported the different causes 
of  the diseases, according to the programming established 
in the ATDM System’s big data digital platform. This 
allowed us to extract the corresponding case-by-case and 
statistical results by health day, by state, and by country, as 
well as the general data from the study protocol.
In this context, from the information obtained from 
the patient sample (n=6031), we observed the following 
results, according to the following graph and table:

Figure 1: Prevalece of  the Causes of  Diseases



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Analyzing the graph and table above, we can determine 
that there is a concatenation of  causes in many patients, 
and not just isolated causes. Therefore, reviewing the 
prevalence of  each cause of  the disease, we can see the 
following:

Regarding Hidden Hunger
We observed that of  the 6,031 metabolic assessments, 
Hidden Hunger was present in 1,718 cases, equivalent to 
28% of  the study population; that is, technically speaking, 
3 out of  10 people present with Hidden Hunger. Without 
mentioning the specific type of  Hidden Hungry is 
generated, this author undertakes to present this study in 
a future publication.

Regarding Redox Imbalance
We can see that this Cause of  Disease is present in 3,514 
cases out of  the 6,031 people studied in the sample. 
This means that the general population presents Redox 
Imbalance in 58%. Technically speaking, this indicates 
that 6 out of  10 people have a Redox Imbalance, and 
therefore premature cellular aging. Without mentioning 
the specific type of  cellular stress generated, this author 
undertakes to present this study in a future publication.

Regarding Systemic Intoxication
As can be seen, the data obtained shows that 4,048 cases 
of  Systemic Intoxication occurred among the 6,031 people 
who underwent Metabolic Assessment, which is equivalent 
to 67% of  the population studied. Therefore, we infer that 
7 out of  10 people are at risk of  Systemic Intoxication, 
whether endogenous or exogenous. However, this data is 
not yet reported. For this reason, this author undertakes 
to conduct this analysis in subsequent publication.

Regarding the Formation of  a Proinflammatory State
After analyzing the data provided by the ATDM System 
platform, we can see that this cause of  the disease is one 
of  the most prevalent of  all. Of  the 6,031 Metabolic 
Assessments performed on the sample population, 5,221 
cases of  silent inflammation were reported, equivalent to 
86% of  the population. This allows us to infer that 9 out 

of  10 people have Chronic Silent Inflammation. Since 
a causal analysis has not been performed, these figures 
require a more in-depth study of  the formation of  a 
proinflammatory state. Therefore, this author undertakes 
to provide this information in subsequent publication.
However, it is necessary to emphasize that the main 
condition that causes this silent inflammation is insulin 
resistance, which results from the Maillard and Pyrolysis 
Reactions in the tissues. This mainly explains the diabetes 
pandemic, but at the same time, the data obtained refers 
us to a preventive-predictive aspect of  having to urgently 
implement measures to reverse these processes from the 
cause.

Regarding Cellular Acidity
This cause of  the disease provides data showing 3,647 
cases out of  6,031 patients, equivalent to 60% of  the 
population. This means that 6 out of  10 people are 
developing cellular acidity processes, whether they are 
experiencing pain or more severe cases with cellular 
transformation. Therefore, this author undertakes to 
provide this information in subsequent publication.

Regarding Mitochondrial Dysfunction
After analyzing the data on Mitochondrial Dysfunction, 
we can observe that of  the 6,031 people studied, 1,714 
cases were positive for Mitochondrial Dysfunction, 
equivalent to 28% of  the population. This means that 
1 in 10 people will experience Organ Failure at some 
point, if  they are not currently experiencing it. Therefore, 
this author undertakes to provide this information in 
subsequent publication.

Regarding Microbiome Alteration
The data on Microbiome Alteration shows that of  the 
6,031 metabolic assessments, 3,689 people have this 
cause of  the disease, which is equivalent to 61%. That 
is, 6 out of  10 people are experiencing dysbiosis due to 
some microbiological agent, without specifying whether 
it is bacteria, virus, fungus, or parasite. Therefore, this 
author undertakes to present the relevant information in 
a subsequent article.

Table 1: Prevalece of  the Causes of  Diseases
Causes of  Diseases
Cause of  Disease Patients Cases Average
Hidden Hungry 6031 1718 28
Redox Inbalance 6031 3514 58
Systemic Intoxication 6031 4048 67
Proinflamatory State 6031 5221 86
Celular Acidity 6031 3647 60
Mitocondrial Dysfunction 6031 1714 28
Human Microbiome Inbalance 6031 3689 61
Lack Of  Gene Expresion Modulation 6031 5368 89
Lack Of  Biofrecuency Modulation 6031 3488 57
Trauma 6031 3539 58



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Regarding the Lack of  Modulation of  Gene Expression
It is difficult to determine the date of  an alteration in the 
modulation of  gene expression, as multiple pathologies 
are involved. However, with the components of  the 
Metabolic Assessment, it has been determined that 5,368 
people out of  the 6,031 metabolic assessments performed 
present this cause of  the disease, representing 89% of  
the cases. This means that nine out of  10 people have 
a lack of  modulation of  gene expression due to some 
epigenetic mechanism, which this author undertakes to 
investigate and publish in a future publication.

Regarding the Lack of  Biofrequency Modulation
The data provided by this Cause of  Disease is significant, 
given its association with various pathologies. We found 
that 3,488 people out of  6,031 metabolic assessments, 
corresponding to 57%, had altered Biofrequencies, which 
implies that 6 out of  10 people are affected by these 
disruptive connection processes.

Regarding Trauma
This cause of  the disease depends not only on accidents 
and associated tissue injuries, but also on surgical 
procedures, and this is where it is triggered that 3,539 
cases of  the 6,031 metabolic assessments, corresponding 
to 58% of  the population, have had some type of  trauma.
Therefore, it is necessary to state here that the hypothesis 
proposed is conclusive. Through Metabolic Assessment 
using Bioimpedance and Capillaroscopy tests under the 
Metabolic Diagnostic Techniques Application System 
(ATDM System), we can determine, both individually 
and collectively, the causes of  diseases affecting a specific 
population.
Now, looking at the cause and correlating the data provided 
by this study with statistics viewed from an effect-based 
paradigm, we can see that diseases are underestimated, 
as ordinary statistics determine values below the possible 
reality of  what is being experienced every day.
If  we analyze the data from a preventive-predictive 
perspective, the data obtained are alarming, as they not 
only have value in terms of  prevalence (the cases present 
in a population group), but this study also allows us to see 
incidence statistics (the new cases that are occurring), and 
therefore, a future trend is observed, which, according to 
this author, is alarming.
Analyzing that the prevalence of  certain causes of  disease 
is as high as 6 to 9 out of  10 people already have them, 
then the alarming thing about these data is that the 
incidence maintains the same trend and, therefore, will 
increase to the total number of  cases in the coming years; 
that is, in addition to the current cases, new cases will be 
added and multiplying.
Therefore, the trend over the next 5 to 10 years will be 
completely exponential, which will mean that no health 
system will have the capacity to address the effects 
generated by not addressing the causes now.

CONCLUSION
With this study, we have been able to realize that the use of  
Metabolic Assessment through the Metabolic Diagnostic 
Techniques Application System (ATDM System) allows 
us to identify accurate data regarding the prevalence and 
incidence of  the Causes of  Diseases.
It is alarming to see that the data indicates that this impact 
on health is derived from the toll modern life is taking. 
Poor eating habits, environmental pollution, exposure to 
chemicals of  all kinds, ionizing radiation, and the stress of  
modern life are causing us to collapse. If  we do nothing 
to reverse this trend, the incidence and prevalence of  
chronic degenerative diseases will overwhelm any health 
system, and no medical innovation will be able to address 
this catastrophic condition for humanity.
It is clear that these data determine the urgency of  taking 
action to reverse the root causes of  diseases, and not just 
focusing on combating the signs and symptoms once 
they have already begun.
Looking to the future of  healthcare systems, which 
are currently overwhelmed, it is necessary to change 
paradigms and establish predictive preventive diagnostic 
systems such as the Metabolic Diagnostic Techniques 
Application System (ATDM System).
Right now, with this study, we can better understand the 
causes of  diseases by measuring the caseload and statistics 
for each cause, and thus understand the processes that 
cause them, from a preventive-predictive perspective, so 
the best conclusion that I´m arrived is:
“IF WE REMOVE THE CAUSES OF DISEASES, 
WE ELIMINATE THE EFFECTS, 
THAT IS, THE DISEASES” ...
Dr. Victor Alfonso Abuadili Garza.

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