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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>IDDM-</journal-title>
      </journal-title-group>
    </journal-meta>
    <article-meta>
      <title-group>
        <article-title>Modern Approaches to the Applying of Mathematical Methods in the Analysis of the Transport Direction of Follicular Thyrocytes</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Olha Ryabukha</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Ivanna Dronyuk</string-name>
          <email>ivanna.m.droniuk@lpnu.ua</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Lviv Medical Institute</institution>
          ,
          <addr-line>Polishchuk str. 76, Lviv, 79018</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Lviv Polytechnic National University</institution>
          ,
          <addr-line>S. Bandera str. 12, Lviv, 79013</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2021</year>
      </pub-date>
      <volume>4</volume>
      <fpage>19</fpage>
      <lpage>21</lpage>
      <abstract>
        <p>The use of modern information technology in biomedical research permits to obtain a holistic cybernetic view of the cell. The method of constructing correlation portraits of different fields of hormone-producing cells' activity has significantly expanded the approaches to studying the relationships between their ultrastructures in different conditions. However, the significance of the portrait nodal points for cell activity remains unclear. This paper first presents a step-by-step study of the nodal points of correlation portraits of follicular thyrocytes' transport capability, which consists in elucidating their connection filling, the studied correlations between their constituent elements, analyzing the effect of the established transport features of hormonal product by intraorganic microcapillary bed under the effect of organic and inorganic iodine. It is established that the nodal points of correlation portraits are mathematical results of stabilizing and adapting changes in hormonal cells, the study of which will permit to better understand the functional dependencies that occur in the cell during its activity.</p>
      </abstract>
      <kwd-group>
        <kwd>Direction</kwd>
        <kwd>Follicular</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>deficiency
mathematical methods in cytology, correlation analysis, correlation portrait, thyroid gland,
follicular thyrocyte, thyroid hormone transport, organic iodine, inorganic iodine, iodine</p>
    </sec>
    <sec id="sec-2">
      <title>1. Introduction</title>
      <p>
        This work is a continuation of a series of our studies prioritized in this field of science, previously
presented at IDDM’2018 [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] and IDDM’2020 [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ].
      </p>
      <p>
        We base our concept of cytological research on the approach to the cell as a cybernetic
selfregulatory system. Based on these ideas, the animal cell is subject to many different external and
internal influences, with internal influences being divided into influences of other cells of the same
organ and influences of different body systems cells. The point of application of influences in the cell
are cellular ultrastructures, which are strictly functionally specialized and implement a specific field
of the cell activity [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. At the same time, the same field of cell activity is usually implemented by
several ultrastructures that form a respective cluster. In this case, influences of different nature and
force can act on different constituent elements (ultrastructures or their substructures) of the same
cluster. The effect of influences is due to the transformation of cell activity depending on the type of
influence, its strength and functional ability of the target organelle and the cell as an integrating
structure. Then it is logical to assume that the resulting effect of different factors’ influences that have
the same field of action but are directed to different ultrastructures of the same cluster, may have
some differences.
      </p>
      <p>2021 Copyright for this paper by its authors.</p>
      <p>
        One of the prerequisites for the functioning of the biological system is its diversity – the number of
states that it can acquire under certain conditions [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Diversity does not only determine the
complexity degree of the biosystem organization [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], but can also indicate its adaptive potential. In
addition, all biological systems have a high level of adaptability, which permits them not only to
survive in the changing conditions of existence, but also to function in new conditions. Since each
system has certain reserves, the prerequisites are created to determine the characteristics of the
biological system both in a state of functional equilibrium and to identify its potential [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ].
      </p>
      <p>The task of biomedical diagnostics is to establish the dependence of the diagnosis on many state
parameters of the studied system. Then the task of medical diagnosis is to find a expression
 ∗ = ( 1∗,  2∗,  3∗, … ,  ∗ ) →   ∈  = ( 1,  2,  3, … ,   ) , (1)
where X* is a set of a particular patient’s state parameters, and D is a set of diagnoses inherent in
the given field of medicine.</p>
      <p>
        However, the main mathematical methods used to solve diagnostic problems (Bayesian [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ],
regression [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], correlation analysis [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ], etc.) are based on the use of quantitative information about a
biological object, which limits their use in medicine-biological studies. It is quite promising to
diagnose on the basis of fuzzy set theory [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ], which permits to formalize the uncertainties that arise
in the biological system and use Fuzzi Logic in the study of living bodies [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. To do this, the concept
of membership function is used and the largest and smallest expression of any feature (max-y and
min-y), combined with the principle of linguistic diagnostic data [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]. The principle of linguistic
diagnostic data presupposes the existence of causal relationships between the parameters of the
biological system (cause) and the diagnosis (consequence), which are first described in words of the
language used, and then formalized as a set of fuzzy logical statements. In this case, the formalization
of the diagnostic process involves determining the diagnosis d through the input parameters
(variables) x1, x2, x3,…, xn, which characterize the patient's condition. Then:
      </p>
      <p>=   ( 1,  2,  3, … ,   ) , (2)
where fd is some function that establishes a relationship between the variables xi, i = 1, n and d.</p>
      <p>The variables x1  xn and the function d can be quantitative, qualitative or expressed using special
scales, for example, by a scoring system. This makes it possible to take into account the qualitative
staining of the condition, which significantly expands the possibilities of establishing a correct
diagnosis, but provides a strict determinism of the diagnosis on the input data, which is difficult to
achieve when studying the cell.</p>
      <p>
        Traditional methods of cytological examination are based on the use of either quantitative data
about the object under study, or qualitative information that describes the state of this object.
Quantitative definitions that can be subjected to mathematical transformation can not establish and
analyze all the nuances of the cell’s state as a biological system, while qualitative information about
it, which is given in words of the language used and is able to note the slightest changes in its state
under various influences, can not be calculated, and hence objectified. This does not permit to
analyze, compare, summarize the data obtained and draw sound conclusions. Thus, approaches to the
formalization of qualitative and binary information about the cell, despite its importance for medical
science, remain undeveloped. In our previous publications, in particular [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ], mathematical methods
have been used to diagnose and interpret the effects of iodine of various chemical nature on thyroid
cells. To do this, a package of certain mathematical methods was used, each being the basis for the
next step [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. Correlation portraits, which are a graphical representation of the traced correlations, are
subject to analysis. The basis for their creation are “reference” points – ultrastructures, which are
functionally significant for the implementation of the studied field of the cell’s activity. Correlation
portraits are constructed on the basis of “actual” features – ultrastructures of this field, between which
significant correlations are traced. Comparison of nomenclatures of “reference” points and “actual”
features and interpretation of the traced correlations values between cellular organelles from the
standpoint of cytophysiology [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ] permit both individualization and generalization of the obtained
data as to the current state, reserve and potential hormone abilities in each field of its activity. At the
same time, in the available literature we did not find information on the interpretation of the nodal
points’ connection filling in the study of follicular thyrocytes’ ultrastructures in iodine intake of
different chemical nature against the background of alimentary iodine deficiency, which is a very
important medical and social problem [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ].
      </p>
    </sec>
    <sec id="sec-3">
      <title>2. Purpose of the study</title>
      <p>The purpose of the presented work was to study the significance of the nodal points of correlation
portraits as places that connect and unite the ultrastructures of the follicular thyrocytes’ transport
activity. The task of the study was to establish the value of nodal points for the transport of hormonal
product by intraorgan microcapillary bed in the following model conditions: optimal supply of iodine
to rats, uncorrected alimentary iodine deficiency, taking the minimum effective dose of organic and
inorganic iodine.</p>
    </sec>
    <sec id="sec-4">
      <title>3. Materials and methods of the study</title>
      <p>The study was performed on 40 white nonlinear male rats with an initial body weight of 140–160g,
which were kept in standard vivarium conditions for 30 days. Group 1 rats consuming common feed
were universal controls for rats of other groups. Rats of groups 2, 3, 4 were on an isocaloric
starchcasein diet; iodine-containing compounds were eliminated from the salt mixture to create a model of
alimentary iodine deficiency. Adjustment of iodine starvation in rats of group 3 was performed with
organic iodine (iodine-protein components), rats of group 4 – with inorganic iodine (potassium
iodide), which they consumed in the minimum histologically confirmed dose of 21 μg/kg body
weight. Iodine compounds were not added to the diet of group 2 rats, which were an additional
control for animals of groups 3 and 4. During observation and euthanasia, the principles of bioethics
were observed in compliance with the European Convention for the Protection of Vertebrate Animals
Used in Experiments (Strasbourg, 1986) and Council of Europe Directive 2018/63/ CV.</p>
      <p>
        The study methods used in this work have already been partially presented in detail by us at
IDDM’2020 [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]: 1. Mathematical statistics [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ]. 2. The method of the phase interval [17].
3. Correlation analysis [18,19]. Correlations were established between the constituent elements of
the profile of the follicular thyrocytes’ transport capability and the pairwise correlation coefficients,
which were calculated according to the well-known Pearson's formula, their direction and strength
being studied. A positive value of the pairwise correlation coefficient rxy indicated the same direction
of changes of the studied index, negative – that with the increase of one of the indices associated with
another index associated with it decreased: the value of rxy= 1.00 indicates the existence of a directly
proportional relationship between indices x and y, rxy= –1.00 – inversely proportional. In the structural
organization of the relationship between the indices, the most significant were considered to be very
high and high connections, which according to the Chaddock scale, were within the range of 1.00≥ rxy
≥ 0.91 and 0.90≥ rxy ≥ 0.71, respectively; in the absence of such connections, salient connections of
0.70≥ rxy ≥ 0.51, and moderate connections of 0.50≥ rxy ≥ 0.31 were considered. 4. Principles of fuzzy
set theory [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. 5. Method of Semi-Quantitative Analysis of Electronograms by Riabukha OI [20].
Qualitative information about the cellular ultrastructures of the studied electron microscope images
was transformed into quantitative by comparing their condition with the state of these ultrastructures
in two controls (norm and untreated studied pathology) with subsequent assessment of the detected
manifestations in points. The obtained numerical assessment results of each ultra- or substructure
were to be averaged with further use for mathematical transformations. 6. Method of Riabukha OI on
Specifying the Profiles of Special Capabilities of Hormone Producing Cells [20]. In our work, we
present the ultrastructural components of the thyroid gland follicular thyrocytes’ profile of the
transport activity (Tab. 1).
7. Construction of correlation portraits [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]: Correlation portraits are a graphical representation of the
relationships traced between the structural components of the studied transport activity of follicular
thyrocytes. 8. Study of correlation portraits’ nodal points as places for accumulation of correlations.
There are five steps to learn about the nodal points. The first step is to construct correlation portraits
of the studied possibility, the second – to determine the nodal points of each correlation portrait as
graphical representations of correlations’ clusters. The third step is to establish the connection content
of each node, which is to determine the number and nomenclature of its correlations. In this case, the
number and content of nodal points is not a constant value, but reflect the individual characteristics of
the portrait. The fourth step is to rank the established nodal points on the main (points with the largest
filling of correlations) and additional (points with less correlation). The fifth step is to analyze the
data obtained and establish from the standpoint of cytophysiology their significance for the activities
of the studied activity.
9. Cytophysiological study. The basis for the interpretation of correlation portraits’ nodal points of the
rat follicular thyrocytes’ transport capability profile in the studied groups were cytophysiological data
on the functional significance of cellular ultrastructures [
        <xref ref-type="bibr" rid="ref14 ref3">3,14</xref>
        ] and their electron microscopic
characteristics. 10. Electron microscopy. Electronograms of ultrathin (4–6 μm) sections of rat thyroid
glands, made according to generally accepted methods, were subject to study [21]. Processing of the
obtained results was performed by the scale for assessment of thyrocyte ultrastructural elements’
manifestations using the semi-quantitative analysis of electron microscope images by means of
software: for digital data - StatSoft Statistica v6.0 package, for correlation tables and portraits
Microsoft Office 2010 package - electronic MS Excel spreadsheet and MS Word graphic editor
(Microsoft Graph), respectively.
      </p>
    </sec>
    <sec id="sec-5">
      <title>4. Results and discussion</title>
      <p>Reference points for the construction of correlation portraits in all groups were moderate folding of
the follicular thyrocytes’ basal cytoplasmic membranes (P2), moderate width of the microvessels’
pericapillary space (Q2), unchanged (normal) endotheliocytes (R2), no features (normal)
microcapillary bed (S1). The main nodal points of correlation portraits were considered to be the
points through which the most correlations pass, the additional nodal points are points with fewer
correlations.</p>
    </sec>
    <sec id="sec-6">
      <title>4.1. Studying the features of the nodal points of the transport capability profile correlation portrait of follicular thyrocytes of intact rats (group 1)</title>
      <p>The actual features of the correlation portrait were P2, Q1, Q5, R2, R4, S1, between which the
following correlations were observed: very high (1.00≥| r |≥ 0.91) – 2; high (0.90≥| r |≥ 0.71) – 0;
salient (0.70≥| r |≥ 0.51) – 2; moderate (0.50≥| r |≥ 0.31) – 6 (all indirect). The main nodal points of
the portrait were moderate folding of the basal cytoplasmic membranes of follicular thyrocytes (P2)
and no features (normal) microcapillary bed (S1), which had 4 connections; additional nodal points of
the portrait were an insignificant width of the pericapillary space (Q1), no additional inclusions in the
pericapillary space (Q5), unchanged (normal) endotheliocytes (R2) and small pseudopodia of
endotheliocytes (R4), which had 3 connections. Under conditions of optimal iodine supply of rats, the
number of very high direct connections passing through the nodal points was 2, the number of high –
0, the number of salient direct connections – 2, while the number of moderate indirect connections
was 6 (Fig. 1).</p>
      <p>The connective filling of the correlation portrait nodal points of the intact rats’ follicular thyrocytes
transport capability profile is presented in Tab. 2.</p>
      <sec id="sec-6-1">
        <title>Nodal Correlations between ultrastructural elements of</title>
        <p>point nodal points with indication of their signs quality</p>
      </sec>
      <sec id="sec-6-2">
        <title>P2* moderate folding of basal cytoplasmic membranes</title>
        <p>no additional inclusions in the pericapillary space</p>
      </sec>
      <sec id="sec-6-3">
        <title>P2* moderate folding of basal cytoplasmic membranes small pseudopodia of endotheliocytes</title>
      </sec>
      <sec id="sec-6-4">
        <title>P2* moderate folding of basal cytoplasmic membranes unchanged (normal) endotheliocytes</title>
      </sec>
      <sec id="sec-6-5">
        <title>P2* moderate folding of basal cytoplasmic membranes insignificant width of pericapillary space</title>
      </sec>
      <sec id="sec-6-6">
        <title>S1* no features (normal) microcapillary bed</title>
        <p>insignificant width of pericapillary space</p>
      </sec>
      <sec id="sec-6-7">
        <title>S1* no features (normal) microcapillary bed no additional inclusions of pericapillary space</title>
      </sec>
      <sec id="sec-6-8">
        <title>Symbols of nodal</title>
        <p>points elements</p>
        <p>P2—Q5
Сorrelation
coefficient (r)</p>
        <p>0.612
P2—R4
P2—R2
P2—Q1
S1—Q1
S1—Q5
S1*
Q5
R2
no features (normal) microcapillary bed
unchanged (normal) endotheliocytes
no features (normal) microcapillary bed
small pseudopodia of endotheliocytes
no additional inclusions of pericapillary space
small pseudopodia of endotheliocytes
unchanged (normal) endotheliocytes
insignificant width of pericapillary space</p>
      </sec>
      <sec id="sec-6-9">
        <title>Note. The symbol (*) indicates the main nodes S1—R2 S1—R4 Q5—R4</title>
        <p>R2—Q1
−0.408
1.000</p>
        <p>Nodal point P2, through its direct connections (r=0.612) with Q5 and R4, contributes to the
harmonization of indirect connections (r=−0.408) with Q1 and R2, which have a certain
disharmonious potential. Nodal point S1 harmonizes indirect connections (r=−0.408) traced between
Q1, Q5, R2, R4, which can cause instability of the transport system. At the same time, a certain
instability of the system, which is indicated by indirect connections S1, may be a sign of its ability to
adapt. Under conditions of optimal odine supply to rats, the correct transport of the hormonal product
by the microcapillary bed occurs in the presence of 2 main components: the relationship "Q1—R2
(insignificant width of the pericapillary space - normal endotheliocytes)" and "Q5—R4 (no
inclusions in the pericapillary space - small pseudopodia of endotheliocytes)", very high direct
connections (r=1.000) which provide functional balance in the transport system.</p>
      </sec>
    </sec>
    <sec id="sec-7">
      <title>4.2. Studying the features of the nodal points of the correlation portrait of the follicular thyrocytes transport capability profile in the conditions of alimentary iodine deficiency (group 2)</title>
      <p>The actual features of the studied portrait were P3, Q1, Q2, Q5, R2, R3, R5, S1, between which
very high connections (1.00≥| r |≥ 0.91) – 1 (indirect), high connections were traced (0.90≥| r |≥ 0.71)
– 1, salient connections (0.70≥| r |≥ 0.51) – 5 (indirect 4), moderate connections (0.50≥|r |≥ 0.31) – 7
(indirect 4). The main nodal points of the portrait were normal (R2) and hypertrophied
endotheliocytes (R3), which had 5 conneсtions each; additional nodal points were a significant fold of
the basal cytoplasmic membranes of follicular thyrocytes (P3), an insignificant width of the
pericapillary space (Q1), no additional inclusions in the pericapillary space (Q5), small pseudopodia
of endotheliocytes (R4), no features (normal) microcapillary bed (S1), which had 3 connections.
Under conditions of alimentary iodine deficiency, the following connections passed through the nodal
points of the correlation portrait: very high – 1 indirect, high – 1 direct, salient – 5 (indirect 4),
moderate – 8 (indirect 5) - see Fig. 2.</p>
      <p>The connective filling of the nodal points of the follicular thyrocytes transport capability
correlation portrait profile of rats, which were in conditions of alimentary iodine deficiency, are
presented in Tab. 3.</p>
      <p>Nodal point R2 through direct communication (r=0.408) R2 with S1 stabilizes indirect connections
R2 with R4 (r=−0.612), and with P3 (r=−0.408), which indicate a functional mismatch in the transport
of hormonal product by intraorgan microcapillary bed. Another area of the nodal point R2 influence
on the activity of thyrocytes is the adaptation of the intraorgan microcapillary bed to the transport of
thyroid hormones in conditions of iodine deficiency. Manifestations of this are the following
connections: direct with Q1 (r=0.408) and indirect with Q5 (r=−0.612).</p>
      <p>The nodal point R3 also has a stabilizing effect on hormone transport. Thus, the direct connection
of R3 with S1 (r=0.612) helps to reduce the adverse (unbalancing) effects of indirect connections
(r=−0.408) R3 with Q1, Q5, R4 and a direct connection of the same force with P3. Nevertheless, a
very high indirect connection between the nodal points P3 and Q1 (r=−1.000) indicates that the
system is generally in an unstable state.</p>
    </sec>
    <sec id="sec-8">
      <title>4.3. Study of the features of the nodal points correlation portrait of the transport capability profile of follicular thyrocytes when taking 21 μg of organic iodine in conditions of alimentary iodine deficiency (group 3)</title>
      <p>The actual features of the studied portrait were P3, Q2, Q3, Q5, R2, R3, R5, S1, between which
the following correlations were established (Fig. 3): very high (1.00≥| r |≥0.91) – 3 (of which indirect
– 2), salient connections (0.70≥| r |≥0.51) – 11 (6 indirect), moderate connections (0.50≥| r |≥ 0.31) – 7
(of which indirect 5). The main nodal points of the portrait were a significant folding of basal
cytoplasmic membranes of follicular thyrocytes (P3), unchanged (normal) endotheliocytes (R2),
hypertrophied endotheliocytes (R3), medium (normal) pseudopodia of endotheliocytes (R5), which
had 6 connections each. Additional focal points of the portrait were Q2, Q3, S1, which had 5
connections, and Q5, which had 3 connections.</p>
      <p>The connective filling of the nodal points of the transport capability profile correlation portrait of
rat follicular thyrocytes, for which the alimentary iodine deficiency was corrected with the minimum
effective dose of organic iodine (21μg/kg body weight), is presented in Tab. 4.
R2*
R2*
R2*
R2*
R3*
R3*
R3*
R3*
R5*
R5*
R5*
Q3
S1
Q5
unchanged (normal) endotheliocytes
hypertrophied endotheliocytes
unchanged (normal) endotheliocytes
moderate width of pericapillary space
unchanged (normal) endotheliocytes
significant width of pericapillary space
unchanged (normal) endotheliocytes
medium (normal) pseudopodia of endotheliocytes
unchanged (normal) endotheliocytes
no features (normal) microcapillary bed
hypertrophied endotheliocytes
significant width of pericapillary space
hypertrophied endotheliocytes
medium (normal) pseudopodia of endotheliocytes
hypertrophied endotheliocytes
moderate width of pericapillary space
hypertrophied endotheliocytes
no features (normal) microcapillary bed
medium (normal) pseudopodia of endotheliocytes
no features (normal) microcapillary bed
medium (normal) pseudopodia of endotheliocytes
significant width of pericapillary space
medium (normal) pseudopodia of endotheliocytes
moderate width of pericapillary space
significant width of pericapillary space
no additional inclusions in pericapillary space
no features (normal) microcapillary bed
no additional inclusions of pericapillary space
no additional inclusions of pericapillary space
moderate width of pericapillary space
R2—Q2
R2—Q3
R2—R5
R2—S1
R3—Q3
R3—R5
R3—Q2
R3—S1
R5—S1
R5—Q3
R5—Q2
Q3—Q5
S1—Q5
Q5—Q2
0.612
−0.612
−0.667
−0.408</p>
      <sec id="sec-8-1">
        <title>Note. The symbol (*) indicates the main nodes</title>
        <p>Analysis of the correlations in the discussed portrait showed that their combination at the node
point P3 improves the transport direction of the thyroid gland. Thus, a very high direct connection of
P3 with R2 (r=1.000) and connections of P3 with Q2 (r=0.612) and S1 (r=−0.408) balance the indirect
connections of P3 with R3 (r=−1.000), Q3 (r=−0.612) and R5 (r=−0.667), which indicate certain
difficulties in transporting the hormonal product.</p>
        <p>The connections at the R2 node point indicate an improved transport of thyroid hormones. This is
indicated by the direct relationship R2 with Q2 (r=0.612) and the indirect relationship R2 with S1
(r=−0.408) and R5 (r=−0.667). The node point R3 has the same adaptive effect, in which the
correlations R3 are connected: direct with Q3 (r=0.612) and R5 (r=0.667), and indirect with S1
(r=−0.408). In turn, the correlations that form the R5 nodal point have a certain stabilizing effect on
the transport direction of thyrocytes. These include direct connections R5 with S1 (r=0.612), R3
(r=0.667), Q3 (r=0.408), and indirect connections R5 with R2 (r=−0.667) and P3 (r=−0.667).
Peculiarities of correlations in nodal points Q2, Q3, Q5, S1 have already been considered in the study
of other nodal points of the discussed correlation portrait.</p>
      </sec>
    </sec>
    <sec id="sec-9">
      <title>4.4. Study of the nodal points features of the correlation portrait profile of the follicular thyrocytes transport capability when taking 21 μg of inorganic iodine in conditions of alimentary iodine deficiency (group 4)</title>
      <p>The actual characteristics of the correlation portrait were P1, P2, Q2, Q3, Q5, R2, R3, R4, R5, S3,
S5, S6, between which the following correlations were established (Fig. 4): very high (1.00≥| r |
≥0.91) – 8 (of which indirect - 4), high (0.90≥| r |≥0.71) – 2 (all direct), salient 0.70≥| r |≥0.51) – 25
(17 of them are indirect), moderate 0,50≥| r |≥0,31 – 6 (of which indirect - 1).</p>
      <p>The main nodal points of the portrait were a moderate width of pericapillary space (Q2) and
hypertrophied endotheliocytes (R3), which had 10 connections each. Additional nodal points of the
portrait were P1 – 8 connections; Q3, R5, S3, S5, S6, which had 7 connections each; Q5 and R4 – 5
connections each; R2 – 4 connections. The connection filling of the nodal points correlation portrait
of the transport capability profile of rat follicular thyrocytes, for which the alimentary iodine
deficiency was corrected with the minimum effective dose of inorganic iodine (21μg/kg body weight),
is presented in Tab. 5.
Q2*
R3*
R3*
R3*
R3*
R3*
R3*
R3*
R3*
R3*
P1
P1
P1
P1
P1
P1
P1
P1
Q3
Q3
Q3
Q3
R5
R5
moderate width of pericapillary space
unchanged (normal) endotheliocytes
moderate width of pericapillary space
small pseudopodia of endotheliocytes
hypertrophied endotheliocytes
medium (normal) pseudopodia of endotheliocytes
hypertrophied endotheliocytes
significant width of pericapillary space
hypertrophied endotheliocytes
no additional inclusions in pericapillary space
hypertrophied endotheliocytes
presence of erythrocytes in microcapillary bed
hypertrophied endotheliocytes
presence of mast cells in microcapillary bed
hypertrophied endotheliocytes
presence of fibrin threads in microcapillary bed
hypertrophied endotheliocytes
moderate folding of basal cytoplasmic membranes
hypertrophied endotheliocytes
unchanged (normal) endotheliocytes
hypertrophied endotheliocytes
small pseudopodia of endotheliocytes
insignificant folding of basal cytoplasmic membranes
significant width of pericapillary space
insignificant folding of basal cytoplasmic membranes
unchanged (normal) endotheliocytes
insignificant folding of basal cytoplasmic membranes
small pseudopodia of endotheliocytes
insignificant folding of basal cytoplasmic membranes
presence of erythrocytes in microcapillary bed
insignificant folding of basal cytoplasmic membranes
presence of mast cells in microcapillary bed
insignificant folding of basal cytoplasmic membranes
presence of fibrin threads in microcapillary bed
insignificant folding of basal cytoplasmic membranes
moderate folding of basal cytoplasmic membranes
insignificant folding of basal cytoplasmic membranes
no additional inclusions in pericapillary space
significant width of pericapillary space
presence of erythrocytes in microcapillary bed
significant width of pericapillary space
presence of mast cells in microcapillary bed
significant width of pericapillary space
presence of fibrin threads in microcapillary bed
significant width of pericapillary space
medium (normal) pseudopodia of endotheliocytes
medium (normal) pseudopodia of endotheliocytes
unchanged (normal) endotheliocytes
medium (normal) pseudopodia of endotheliocytes
presence of erythrocytes in microcapillary bed
Q2—R4
R3—R5
R3—Q3
R3—Q5
R3—S3
R3—S5
R3—S6
R3—P2
R3—R2
R3—R4
P1—Q3
P1—R2
P1—R4
P1—S3
P1—S5
P1—S6
P1—P2
P1—Q5
Q3—S3
Q3—S5
Q3—S6
Q3—R5
R5—R2
R5—S3
R5
S3
S3
S6
Q5
Q5
R4
medium (normal) pseudopodia of endotheliocytes
presence of mast cells in microcapillary bed
medium (normal) pseudopodia of endotheliocytes
presence of fibrin threads in microcapillary bed
presence of erythrocytes in microcapillary bed
presence of mast cells in microcapillary bed
presence of erythrocytes in microcapillary bed
presence of fibrin threads in microcapillary bed
presence of fibrin threads in microcapillary bed
presence of mast cells in microcapillary bed
no additional inclusions in pericapillary bed
moderate folding of basal cytoplasmic membranes
no additional inclusions in pericapillary space
small pseudopodia of endotheliocytes
small pseudopodia of endotheliocytes
moderate folding of basal cytoplasmic membranes
R5—S6
S3—S5
S3—S6
S6—S5
Q5—P2
Q5—R4
R4—P2
−0.645
1.000</p>
      <sec id="sec-9-1">
        <title>Note. The symbol (*) indicates the main nodes</title>
        <p>Correlations that pass through the nodal point Q2 significantly reduce the functional stress caused
by iodine deficiency. These include the direct Q2 connections with R3 (r=1.000), R5 (r =0.791), Q3
(r=0.612), (r=0.612), R2 (r=0.408), and R4 (r=0.408). In general, indirect bonds (r=−0.612) Q2 with
P2, S3, S5 and S6 indicate difficulties in hormone transport. However, we believe that in combination
with other connections that form the discussed node Q2, they are an indication that inorganic iodine
improves the transport capability of the intraorgan microcapillary bed.</p>
        <p>The nodal point R3 had a similar effect. Thus, the complex of direct connections R3 with R5
(r=0.791), Q3 (r=0.612), Q5 (r=0.612), R2 (r=0.408), R4 (r=0.408) is aimed at stabilizing the
functional capability of the microcapillary bed. Indirect connections R3 with S3 (r=−0.612), S5
(r=−0.612), S6 (r=−0.612), and P2 (r=−0.612), which generally indicate a certain inconsistency in the
transport of the hormone under iodine deficit, are largely offset by other correlations that pass through
the discussed node point.</p>
        <p>Node point P1 harmonizes other correlations that pass through it. This is indicated by the complex
of indirect connections of P1 with such indices of the state of endotheliocytes and microcapillary bed
as R2 (r=−0.612), R4 (r=−0.612), S3 (r=−0.612), S5 (r=−0.612), S6 (r=−0.612), Q5 (r=−0.408). This
aspect of the influence of the nodal point is evidenced by the direct connections of P1 with Q3
(r=0.612) and P2 (r=0.408). The nodal point S3, through its ultrastructural element S3, was connected
by very high direct correlations (r=1,000) with S5 and S6.</p>
        <p>Given the ability of erythrocytes to bind thyroid hormones to their membranes and distribute them
to the bloodstream after binding to plasma proteins, we consider these connections to be an adaptive
mechanism aimed at improving the transport of the hormonal product. Other connections that passed
through the nodal point S3 were indirect connections S3 with P1 (r=−0.612), Q2 (r=−0.612), Q3
(r=−1.000), R3 (r=−0.612), R5 (r=−0.645), which also indicated that one of the means of transporting
thyroid hormones by the microcapillary bed was erythrocytes.</p>
        <p>Thus, the study of the nodal points connection content of correlation portraits and nomenclatures
of these correlations made it possible to better understand the essence of the interactions of
ultrastructures of the studied profile and to determine the general direction of their action in different
study conditions. Thus, with optimal provision of the body of rats with iodine system-forming nodal
points of the follicular thyrocytes transport capability correlation portrait were moderate folding of the
basal follicular thyrocytes cytoplasmic membranes (P2) and no features (normal) microcapillary bed
(S1), provide both activity and balance in the system of “transportation of the produced hormonal
product by the intraorganic microcapillary bed”.</p>
        <p>On the other hand, in the conditions of alimentary iodine deficiency, nodal points became
especially important, the basis of which is significant folding of basal follicular thyrocytes
cytoplasmic membranes (P3), normal endotheliocytes (R2), hypertrophied endotheliocytes (R3) and
medium (normal) pseudopodia of endotheliocytes (R5). Through the connections of these
systemforming nodal points, the hormone was transported under adverse conditions of iodine deficiency.</p>
        <p>When correcting alimentary iodine deficiency with organic iodine, the transport of thyroid
hormones provided stabilizing connections of nodal points, the system-forming basis of which was
significant folding of basal cytoplasmic membranes of follicular thyrocytes (P3), unchanged and
hypertrophied endotheliocytes (R2 and R3).</p>
        <p>At the same time, when taking a similar dose of inorganic iodine, the transport of hormones was
provided by a complex system of nodal points with stabilizing complexes of correlations. In this case,
the system-forming basis of nodal points was an insignificant folding of the follicular thyrocytes’
basal cytoplasmic membranes (P1), moderate width of the pericapillary space (Q2), hypertrophied
endotheliocytes (R3) and the presence of erythrocytes in the microcapillary bed (S3).</p>
        <p>We noticed that the nodal point S1, the system-forming basis of which no features (normal)
microcapillary bed, is a frequent component of correlation portraits of the studied direction of
follicular thyrocytes. Because many indirect connections pass through it, we consider it an important
stabilizing element of the intraorgan system of thyroid hormone transport. Comparison of the
structural organizations of the correlation portraits’ nodal points studied in the presented work showed
that the closest to the indices of intact rats (norms) were the data of rats that consumed organic iodine.
The results are presented in the final Tab. 6.</p>
      </sec>
      <sec id="sec-9-2">
        <title>Peculiarities of ligament filling of nodal points of correlation portraits in the transport direction of activity of follicular thyrocytes at various supply of the body with iodine</title>
      </sec>
    </sec>
    <sec id="sec-10">
      <title>5. Conclusions</title>
      <p>Thus, the performed study became the basis for a certain revision of our previous views on the
correlation portraits’ nodal points as exclusively places of accumulation of correlations. Taking into
account the obtained data, we believe that the nodal points of the correlation portraits of the transport
direction largely indicate changes in the activity of thyrocytes as hormone-producing cells.</p>
      <p>1. Nodal points of correlation portraits are mathematical resultants of changes in cells. This
permits to study the functional dependencies that occur during the activity of hormone-producing
cells.</p>
      <p>2. The interaction of correlations in the nodal points of correlation portraits has a stabilizing and
adaptive effect on the studied activity of the cell, which makes the nodal points important elements of
the regulating system.</p>
      <p>3. A large number of nodal points in the correlation portrait may be a sign of a certain instability of
the whole system.</p>
      <p>4. When several correlations of a correlation portrait pass through one nodal point, their mutual
potentiation or mutual weakening is possible, and the effect is directly proportional to the number of
connections.</p>
      <p>5. In the study of the transport direction of follicular thyrocytes, the most informative is the study
of the main nodal points of correlation portraits.</p>
      <p>6. The presence of additional nodal points in the correlation portraits of the follicular thyrocytes
transport direction indicates significant reserve capability of follicular thyrocytes as
hormoneproducing cells.</p>
      <p>7. Analysis of the described nomenclature of the correlation portraits’ nodal points showed the
variety of activities, stability and adaptation of the hormonal product transportation system in the
correction of iodine deficiency with organic and inorganic iodine. This proves that the thyrocyte is a
cybernetic self-regulatory system.</p>
    </sec>
    <sec id="sec-11">
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