WO2021075869A1

WO2021075869A1 - Device for providing health state information using blood metabolism, and method therefor

Info

Publication number: WO2021075869A1
Application number: PCT/KR2020/014073
Authority: WO
Inventors: 허윤석
Original assignee: 계명대학교 산학협력단
Priority date: 2019-10-15
Filing date: 2020-10-15
Publication date: 2021-04-22
Also published as: KR20210044499A; KR102281793B1

Abstract

The present invention relates to a device for providing health state information using blood metabolism, and to a method therefor. According to the present invention, the device for providing health state information using blood metabolism comprises: a measurement unit which measures blood glucose and blood lactate values in a subject to be measured; a calculation unit which calculates a blood metabolism value by using the measured values; and a control unit which determines, by using the measured glucose value and the calculated metabolism value, a health state of the subject to be measured, and provides health state information corresponding to the determined result. According to the present invention, by calculating the blood metabolism value through measuring the amount of glucose and lactate in blood, and by providing health state information corresponding to the calculated result, the emergence of obesity and obesity-associated diseases, such as hyperlipidemia, can be diagnosed at an early stage.

Description

Apparatus and method for providing health status information using metabolism in blood

The present invention relates to an apparatus and method for providing health status information using metabolism in blood, and more particularly, to calculate a blood metabolism value by measuring the amount of glucose and lactate in the blood, and a health state corresponding to the calculation result. The present invention relates to an apparatus and method for providing health status information using metabolism in blood to provide information.

The obese population is rapidly increasing due to the improvement of living standards according to the recent economic development, lack of exercise due to busy living conditions, and excessive intake of nutrition. Overweight and obesity are biological phenomena caused by the interaction of genetic, metabolic, environmental, and behavioral complex factors, defined as abnormal or excess fat accumulation, and can have adverse health effects. Medically, cases with a body mass index (BMI) of 30 or more (ie, 30% or more of a standard body weight) or a BMI of 27 or more are classified as obesity.

In addition, other circulatory diseases such as diabetes (especially type 2 diabetes), hypertension, and hyperlipidemia are classified as obesity. In particular, obesity is known as an important factor causing various adult diseases such as high blood pressure, type 2 diabetes, cancer, gallbladder disease, hyperlipidemia, and arteriosclerosis. The cause of obesity known to date is genetic predisposition to more than 70%, and other environmental factors such as intake of high fat diet or lack of exercise are known, but recently, an imbalance between the amount of energy consumed and the amount of energy consumed is the cause of obesity. The opinion that it is emerging is emerging.

In other words, even though the genetic predisposition has not changed much so far, the incidence rate has increased rapidly, so it is difficult to see it as a genetic cause.Therefore, the recognition that the genetic and environmental complex factors that destroy the energy balance are an important factor of obesity is spreading. have. At least 28 million adults die each year from complications from obesity.

Accordingly, the need to continuously monitor the health condition related to obesity or metabolic diseases has been continuously raised. Conventionally, lactate and glucose have been used as indicators for confirming such health conditions.

Specifically, lactate has been an effective index in determining the diagnosis or prognosis of severely ill patients. Also, like glucose, lactate is known to be associated with type 2 diabetes, and it is known that obese diabetic patients have higher blood lactate concentrations on an empty stomach than non-diabetic obese patients. In addition, diabetic patients have a high blood glucose concentration compared to normal people. As such, lactate and glucose are associated with obesity-related diseases such as obesity, diabetes, and hyperglycemia, but they are still being separated and studied.

Accordingly, there is a need to develop a device capable of measuring a health state more easily and accurately using glucose and lactate in a health state, particularly in obesity-related diseases.

The technology behind the present invention is disclosed in Korean Patent Publication No. 10-1118555 (announced on February 24, 2012).

The technical problem to be achieved by the present invention is an apparatus for providing health status information using blood metabolism to calculate a blood metabolism value by measuring the amount of glucose and lactate in the blood, and to provide health status information corresponding to the calculation result, and It is to provide a way.

In the apparatus for providing health status information using blood metabolism according to an embodiment of the present invention for achieving such a technical problem, in the health status information providing device using blood metabolism, blood glucose and blood level of a measurement subject A measuring unit that measures a lactate level; An operation unit that calculates a metabolism value in blood by using the measured value; And a controller configured to determine a health state of the measurement subject using the measured glucose value and the calculated metabolism value, and provide health state information corresponding to the determination result.

In addition, the control unit is'normal' if the blood glucose level is less than X1 and the blood metabolism value exceeds Y2, and if the blood glucose level exceeds X2 and the blood metabolism value is less than Y1 If'abnormal', blood glucose level, and blood metabolism value do not belong to the'normal' or'abnormal', the health status is pre-defined as'caution', and the measured glucose using the predefined health status It is possible to provide health status information of the measurement subject corresponding to the numerical value and the calculated metabolism value.

In addition, the calculation unit may calculate the metabolism value by the following equation.

Here, M _x is the blood metabolism value, G _a is the blood glucose level, and L _b is the blood lactate level.

In addition, the measurement unit may simultaneously measure the blood glucose level and the blood lactate level of the measurement subject by using an Amplex red reagent or by an electrochemical method.

In addition, the measured glucose value and the calculated blood metabolism value are respectively displayed on a diagram in which the glucose level is the x-axis and the blood metabolism is the y-axis, and the health corresponding to the determination result determined by the control unit An output unit for displaying and outputting the status information as one of'health','abnormal' and'caution' may be further included.

In addition, the current health status by inputting at least one of the sex, age, height, weight, body mass index (BMI) and obesity-related disease, blood glucose level, and blood metabolism value of a number of subjects as input values. Further comprising a learning unit for learning an obesity diagnosis model that outputs, and the control unit corresponds to the information input from the measurement subject and the blood glucose level and blood metabolism value of the measurement subject by using the previously learned obesity diagnosis model. It is possible to determine the health status of the measurement subject.

In addition, the health status information may be any one selected from obesity-related diseases including obesity, diabetes, hyperlipidemia, arteriosclerosis, angina, myocardial infarction, hypertension, fatty liver, metabolic syndrome, hypercholesterolemia, and non-alcoholic steatohepatitis. have.

In addition, a method of providing health status information using metabolism in blood according to an embodiment of the present invention includes: measuring blood glucose and lactate levels in the blood of a subject to be measured; Calculating a blood metabolism value using the measured value; And determining a health state of the measurement subject using the measured glucose value and the calculated metabolism value, and providing health state information corresponding to the determination result.

As described above, according to the present invention, by measuring the amount of glucose and lactate in the blood, the metabolism value in the blood is calculated, and health status information corresponding to the result of the calculation is provided, so that the onset of obesity-related diseases such as obesity and hyperlipidemia is determined at an early stage. Can be diagnosed.

In addition, according to the present invention, by interlocking with a smart phone or a small device to receive health status information, it is possible to check whether the health status is abnormal periodically.

In addition, according to the present invention, there is an effect of learning data of past subjects who were provided with health status information, and using the learned model to more accurately provide health status information corresponding to a blood metabolic value of a measurement subject. .

1 is a block diagram showing an apparatus for providing health status information using metabolism in blood according to an embodiment of the present invention.

2 is a diagram showing a reaction process when measuring the amount of glucose and a reaction process when measuring the amount of lactate according to an embodiment of the present invention.

3 is a graph showing a health state provided by an apparatus for providing health state information using metabolism in blood according to an exemplary embodiment of the present invention.

4 is a flowchart illustrating an operation flow of a method for providing health status information using metabolism in blood according to an embodiment of the present invention.

5 is a schematic diagram showing an experimental process of an experimental mouse for explaining step S410 in a method of providing health status information using metabolism in blood according to an embodiment of the present invention.

Figure 6 is a graph showing the weight change of the high-fat diet mice and the normal diet mice.

7 is a graph analyzing blood glucose levels and blood lactate levels in a method for providing health status information using blood metabolism according to an embodiment of the present invention.

8 is a graph showing a blood glucose standard curve and a blood lactate standard curve in a method for providing health status information using blood metabolism according to an embodiment of the present invention.

9 is a graph showing blood glucose levels and blood lactate levels according to the body weight of experimental mice.

10 is a graph showing blood glucose levels and blood metabolism values according to FIG. 9.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In this process, the thickness of the lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of description.

In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of users or operators. Therefore, definitions of these terms should be made based on the contents throughout the present specification.

First, an apparatus for providing health status information using metabolism in blood according to an embodiment of the present invention will be described with reference to FIGS. 1 to 3.

As shown in FIG. 1, the apparatus 100 for providing health status information using metabolism in blood according to an embodiment of the present invention includes a measurement unit 110, an operation unit 120, a control unit 130, a learning unit 140, and Includes an output unit 150.

First, the measurement unit 110 measures blood glucose and lactate levels in the blood of a person to be measured.

At this time, it is preferable that the measurement unit 110 simultaneously measure the blood glucose level and the blood lactate level of the person to be measured using an Amplex red reagent.

Here, the emplex red reagent reacts when there is an enzyme and peroxidase activity, that is, hydrogen peroxide (H2O2), and displays red. A representative enzyme is Horseradish peroxidase (HRP).

Horseradish peroxidase has the ability to amplify a weak signal and increase the detection ability of a target molecule, and the higher the amount of hydrogen peroxide (H2O2) is, the higher the value comes out. Resorufin has a fluorescence maximum of about 571 nm and an emission maximum of about 585 nm.

In addition, according to the principle of the blood glucose measurement strip, the measurement unit 110 may electrochemically detect the blood glucose level using glucose oxidase, and electrochemically detect the lactate level in the blood using lactate oxide. can do.

In detail, the left side shows the reaction process when measuring the blood glucose level, and the right side shows the reaction process when the blood lactate level is measured.

As shown in FIG. 2, the amount of glucose in blood proceeds through Reaction Scheme 1 below, and can be measured by fluorescence analysis of a glucose assay.

[Scheme 1]

(1) Glucose oxidase+ D-glucose --------> D-Gluconolactone + H ₂ O ₂

(2) Amplex red + H ₂ O ₂ -----HRP-----> Resorufin

In addition, the level of lactate in the blood proceeds through the following Scheme 2, respectively, and may be measured by fluorescent analysis of a lactate assay.

[Scheme 2]

(1) Lactate + O ₂ -----LOX-----> Pyruvate + H ₂ O ₂

(2) Amplex Red + H ₂ O ₂ -----HRP-----> Resorufin

In addition, the calculation unit 120 calculates a metabolism value in blood by using the value measured by the measurement unit 110.

In detail, the metabolism value is calculated according to Equation 1 below.

And the control unit 130 determines the health status of the person to be measured using the glucose value measured by the measurement unit 110 and the metabolism value calculated by the calculation unit 120, and provides health status information corresponding to the determination result. do.

At this time, the health status information is any one selected from obesity-related diseases including obesity, diabetes, hyperlipidemia, arteriosclerosis, angina pectoris, myocardial infarction, hypertension, fatty liver, metabolic syndrome, hypercholesterolemia, and non-alcoholic steatohepatitis. I can.

Preferably, it may be information on any one selected from the group consisting of obesity, diabetes, and hyperlipidemia.

At this time, the clinical indicator information for the diagnosis of obesity-related diseases include weight (BW), height (HT), body mass index (BMI), muscle mass (LBM%), body fat mass (BF%), waist circumference ( WC), hip circumference (HC), waist and hip circumference ratio (WHR). In particular, it can be determined based on the body mass index. Specifically, if the body mass index is less than 18.5, underweight, if it is 18.5 to 22.9, it is normal, if it is 23 to 24.9, it is overweight, and if it is 25 to 30, mild obesity (stage 1 obesity), In the case of 30 to 35, it can be defined as moderate obesity (second stage obesity), and in the case of 35 or more, it can be defined as severe obesity.

In addition, the control unit 130 is'normal' if the blood glucose level is less than X1 and the blood metabolism value exceeds Y2, and the blood glucose level exceeds X2 and the blood metabolism value is less than Y1. If it belongs to'abnormal', blood glucose level and blood metabolism value is'normal' or'abnormal', the health status is pre-defined as'caution', but X1 is less than X2, and Y1 is less than Y2. It is preferably set to.

In detail, when there is no abnormality in the selected information, that is, the value corresponding to the healthy case is defined as'normal', the value corresponding to the case where there is an abnormality, that is, is not healthy, is defined as'abnormal'. There is no problem, but the figure corresponding to the transition period is defined as'caution'.

Therefore, the control unit 130 uses the health state previously defined as described above to store the glucose value measured by the measurement unit 110 and the health state information of the measurement subject corresponding to the metabolism value calculated by the calculation unit 120. to provide.

In this case, if the blood glucose level and the blood metabolism value correspond to'caution', information on the health status of the person to be measured may not be provided.

In addition, the learning unit 140 inputs at least one or more of the sex, age, height, weight, body mass index, and obesity-related disease, blood glucose level, and blood metabolism value of the plurality of subjects as input values to determine the current health status. It trains the output obesity diagnosis model.

At this time, the control unit 130 uses the obesity diagnosis model previously learned through the learning unit 140 to input information from the measurement subject, and the health of the measurement subject corresponding to the blood glucose level and blood metabolism value of the measurement subject. You can also judge the status.

That is, in the embodiment of the present invention, the object to be measured inputs at least one of personal information of sex, age, height, weight, body mass index, and the presence or absence of obesity-related diseases in the obesity diagnosis model, and measured by the measurement unit 110 When the glucose level and the blood metabolism value calculated by the calculation unit 120 are input, the health status of the measurement subject is more accurately determined by extracting the case of the pattern most similar to the health status of the measurement subject and outputting the health status of the measurement subject. It can also be provided to the person to be measured.

Finally, the output unit 150 is a diagram in which the glucose value is the x-axis and the blood metabolism is the y-axis, the glucose value measured by the measuring unit 110 and the blood metabolism value calculated by the calculating unit 120 Is displayed, and health state information corresponding to the determination result determined by the controller 130 is displayed as one of'health','abnormal', and'caution' and output.

That is, the output unit 150 is based on the glucose value measured by the measurement unit 110 from the control unit 130 and the blood metabolism value calculated by the calculation unit 120, and the blood level according to the blood glucose level (x-axis). Metabolism values (y-axis) can also be displayed and provided.

As shown in FIG. 3, the metabolism diagram includes a'normal' region including a portion between the origin and X1 in the X-axis direction and a portion after Y2 in the Y-axis direction, and a portion after X2 and Y in the X-axis direction. It can be divided into a'abnormal' area including a part between the origin and Y1 in the axial direction, and a'caution' area including all other parts except for the'normal' area and the'abnormal' area.

At this time, the'normal' area is an area that displays a normal weight status with a value of 18.5 to 22.9 when measuring the body mass index, and the'abnormal' area is an area that displays a severe obesity or severe obesity status with a value exceeding 30 when measuring the body mass index Can be

In detail, the'normal' area is set in a range where the blood glucose level is less than 5 (X1) and the blood metabolism value exceeds 3.17 (Y2), and the'abnormal' area has a blood glucose level of 7.5 (X2). It may be set to a range that exceeds and the blood metabolism value is less than 2.155 (Y1).

Specifically, the output unit 150 is determined by the control unit 130 as a result of the determination that the blood metabolism value exceeds 3.17 and the body mass index is within the range of 18.5 to 22.9, the health state is normal (good), and the normal weight state. Can be printed.

In addition, when the blood metabolic value is 2.155 or more and 3.17 or less and the body mass index is in the range of 23 to 30, the health status is caution (transitional), and it may be output as being overweight or mild obesity.

Finally, if the blood metabolic value is less than 2.155 and the body mass index exceeds 30, the health status is abnormal (risk), and it can be output as severe obesity or severe obesity.

Therefore, according to an embodiment of the present invention, it is possible to diagnose or predict the risk of an onset of obesity-related diseases such as obesity and hyperlipidemia at an early stage, and there is an advantage in that health management can be continuously performed based on such health status information.

Hereinafter, a method of providing health status information using metabolism in blood according to an embodiment of the present invention will be described with reference to FIGS. 4 to 10.

4 is a flow chart showing an operation flow of a method for providing health status information using metabolism in blood according to an embodiment of the present invention, and a specific operation of the present invention will be described with reference to this.

According to an embodiment of the present invention, first, the measurement unit 110 measures the blood glucose and lactate levels in the blood of the person to be measured (S410).

In this case, step S410 may simultaneously measure the blood glucose level and the blood lactate level of the subject to be measured using an Amplex red reagent.

Then, the calculation unit 120 calculates a metabolism value in blood by using the value measured in step S410 (S420).

At this time, the metabolism value is calculated by Equation 1.

Then, the controller 130 determines the health status of the measurement target using the glucose value measured in step S410 and the metabolism value calculated in step S420 (S430).

As a result of the determination in step S430, if the blood glucose level is less than X1 and the blood metabolism value exceeds Y2 (S440), the health status is determined as'normal' (S450).

If, as a result of the determination in step S430, the blood glucose level exceeds X2 and the blood metabolism value falls within the range of less than Y1 (S441), the health status is determined as'abnormal' (S451).

In addition, as a result of the determination in step S430, if the blood glucose level and the blood metabolism value do not belong to'normal' or'abnormal', it may be determined that the health status is'caution' (S452).

In addition, the controller 130 provides health status information according to the result determined in steps S450, S451, and S452 (S460).

At this time, the provided health status information is any one selected from obesity-related diseases including obesity, diabetes, hyperlipidemia, arteriosclerosis, angina, myocardial infarction, hypertension, fatty liver, metabolic syndrome, hypercholesterolemia, and nonalcoholic steatohepatitis. I can.

In addition, the learning unit 140 outputs the current health status by inputting at least one of the sex, age, height, weight, body mass index, and obesity-related disease, blood glucose level, and blood metabolism value of the plurality of subjects as input values. It is also possible to train an obesity diagnosis model.

Accordingly, in step S460, information input from the measurement subject, the blood glucose level of the measurement subject, and the health state of the measurement subject corresponding to the blood metabolism value may be determined and provided using the previously learned obesity diagnosis model.

The output unit 150 displays the glucose level measured in step S410 and the blood metabolism value calculated in step S420, respectively, on a diagram in which the glucose level is the x-axis and the blood metabolism value is the y-axis, and in step S460 The provided health status information may be displayed as one of'health','abnormal', and'caution' and output to a terminal (not shown).

In this case, the terminal may include a smartphone or a small device of the person to be measured, and by interlocking with the health state information is provided, it is possible to conveniently check whether or not the health state is abnormal.

Hereinafter, through experiments and examples using mice, the correlation between blood glucose and lactate levels in the blood on the determination of obesity is demonstrated, and a method of providing health status information using the blood metabolism values calculated therefrom Let's explain.

As shown in FIG. 5, the blood glucose and blood lactate levels of the mice can be measured over the following experimental process.

실험예 1. 실험쥐의 식이 조절Experimental Example 1. Diet control in mice

C57BL/6J inbred male mice were placed in a controlled environment with free water intake while maintaining a 12-hour light and dark cycle (21-23°C). Of the two groups of mice, one group of mice was fed a normal diet and the other group of mice was fed a high-fat diet. All experiments were conducted with mice in the age range of 6 to 8 weeks, and mice fed a normal chow diet and mice fed a high fat diet (HFD) for 1 month. After fasting for 15 to 16 hours, the experiment was performed. All experiments performed were conducted with the approval of the Animal Experimental Ethics Committee, Keimyung University School of Medicine.

실험예 2. 혈액 준비Experimental Example 2. Blood preparation

Blood samples were collected from submandibular veins of mice fasted overnight in a heparinized tube, and then the collected blood samples were centrifuged to separate plasma. Using the plasma sample thus obtained, glucose and lactate levels were measured.

실험예 3. 혈중 글루코오스 수치 측정(Glucose assay) 및 락테이트 수치 측정(Lactate assay)Experimental Example 3. Blood glucose level measurement (Glucose assay) and lactate level measurement (Lactate assay)

In order to measure the blood glucose level, it was analyzed using a glucose assay. Specifically, the Emplex Red Glucose and Glucose Oxidase Assay Kit (Invitrogen) used in the experiment were ordered and used from Thermo Fisher Scientific (A22189). . This includes reaction catalyst horseradishper oxidase (HRP), Amplex Red, glucose, glucose oxidase, and phosphate buffer (pH 7 to 7.4).

Likewise, in order to analyze the level of lactate in blood, it was analyzed using a lactate assay. Specifically, lactic acid solution (Sigma-Aldrich) and lactate oxidase (My BioSource (MB S653757)) were used. All analyzes were performed according to the same protocol as specified in the plasma sample kit. To analyze the level of lactate in the blood, glucose oxidase was replaced with lactate oxidase and analyzed as shown in FIG. 2.

실험예 4. 형광분석(Fluorescence Assay)Experimental Example 4. Fluorescence Assay

Fluorescence was measured with a Synergy 2 microplate reader (Bio Tek Instruments, Vermont, USA) using a 96-well black assay microplate. Glucose and lactate standards were measured in 50 μl volumes of (5,10,20,30,40,50,60,70,80,90 and 100)μM/, and a standard plot was drawn. Blood glucose and lactate were measured by diluting the sample by 100 times and the concentration was evaluated based on a standard curve already drawn. Read every 5 minutes for up to 30 minutes. Fluorescence was measured with an excitation of 540/35 and an emission of 600/40. All sample readings were corrected by subtracting the no-glucose and no-lactate control values. The analysis process is shown in FIG. 5.

실험예 5. 통계분석(Statistical Analysis)Experimental Example 5. Statistical Analysis

Data were expressed as mean±SD data.

실시예 1. 실험쥐 체중 기록Example 1. Weight recording of mice

Six-week-old mice were treated with a high fat diet (HFD) and a normal chow diet, and their weight was 0.6 gm at 19.18 s. Body weight changes were recorded for 27 weeks. The mice fed the high fat diet had a significantly higher weight than the mice fed the normal diet. After ingesting the high fat feed for 1 week, the weight of the mice increased to 3.1 ± 0.6g. On the other hand, the body weight of the mice that consumed the normal diet increased by 1.6 ± 0.8 gm.

As can be seen from FIG. 6, the two groups of mice showed a similar pattern until about 12 weeks, but after that, it can be seen that the weight change clearly occurred.

7 is a graph analyzing blood glucose levels and blood lactate levels in a method of providing health status information using blood metabolism according to an embodiment of the present invention, and FIG. 8 is a blood metabolism according to an embodiment of the present invention. It is a graph showing the blood glucose standard curve and the blood lactate standard curve in the method of providing health status information using.

실시예 2. 혈중 내 글루코오스 및 락테이트 양 측정을 위한 최적화Example 2. Optimization for measuring the amount of glucose and lactate in blood

A highly sensitive Amplex Red reagent based fluorescence assay for lactate was performed. The concentrations of glucose and lactate in the blood of the mice were simultaneously measured using Amplex Red together with HRP (horseradish peroxidase) as a reaction catalyst. The kinetics of the enzymatic reaction was investigated by time tracking measurement. Even with incubation for 5 minutes, the fluorescence of lactate quickly increased. In addition, the standard curve plotted concentration versus fluorescence is represented by a linear line, which demonstrates the accuracy of the measurement process. In addition, it can be seen that the amount of lactate in the blood of the fasting mice was measured by the same method, and appeared as a linear line as shown in FIG. 7.

Specifically, FIG. 7 is a result of analyzing blood glucose levels and blood lactate levels using a glucose assay and a lactate assay, and FIGS. 7(a) and 7(b) show fluorescence versus time. It is a graph, and FIGS. 7(c) and 7(d) are graphs showing fluorescence versus concentration.

Through the graph of FIG. 7, a change in fluorescence according to a reaction time for each concentration and a change in fluorescence according to a change in concentration for each reaction time can be confirmed.

In addition, the incubation time for glucose analysis proceeded to 30 minutes at room temperature. In this case, it was shown that the average change in fluorescence increased by 2650.364 from 5 minutes to 30 minutes. On the other hand, it was found that the average increase in fluorescence was only 58.63 in lactate analysis. As shown in FIG. 8, a minute change in fluorescence that has no meaning in the result was ignored, and 5 minutes was selected as an incubation period for lactate analysis.

Specifically, FIG. 8 shows a glucose standard curve and a lactate standard curve (Standard plot), and FIG. 8(a) is a graph showing the fluorescence of glucose according to the concentration up to 30 minutes at 5 minute intervals, and FIG. 8(b) ) Is a graph showing the slope intercept form of glucose fluorescence measured at 30 minutes to find out the concentration of glucose in the unknown blood, and FIG. 8(c) shows the fluorescence of lactate according to the concentration. It is a graph, and FIG. 8(d) is a graph showing a slope intercept form of lactate fluorescence measured at 5 minutes in order to find out an unknown concentration of lactate in blood.

Through the graph of FIG. 8, it can be seen that a standard curve for finding an unknown blood glucose concentration and lactate concentration can be obtained.

실시예 3. 혈중 내 글루코오스 및 락테이트 양 측정 결과, 및 통계학적 분석 결과Example 3. Measurement results of glucose and lactate amounts in blood, and statistical analysis results

First, FIG. 9 is a diagram showing the glucose and lactate levels relative to the body weight of the mice, respectively, by plotting. As can be seen from Figure 9, most of the fasting mice fed a high-fat diet (the higher weight in the left graph of Figure 9) were the most fasting mice fed a normal feed (in the left graph of Figure 9). It can be seen that the blood glucose level (amount) is higher than that of the lower body weight). On the other hand, as can be seen from the graph on the right of FIG. 9, it can be seen that the lactate level in the blood does not significantly change according to the body weight.

Through this, it can be seen that the factor affecting the obesity disease is blood glucose level.

As a result of plotting metabolism values (Lactate/Glucose ratio; L/G ratio) with respect to blood glucose as shown in FIG. 10, normal mice fed with normal feed and mice fed with high fat feed ( Fat mice), it can be seen that a distinct transitional plot appears between the samples.

In particular, it can be seen that such a transitional plot has a metabolism (L/G ratio) value between 2.155 and 3.17.

Accordingly, according to an exemplary embodiment of the present invention, when the metabolism (L/G ratio) value is less than 2.155, it can be predicted that the health state of the future mice is'abnormal' (danger). On the other hand, when the metabolism (L/G ratio) value exceeds 3.17, it can be predicted that the health status of the mice is'normal' (good).

As described above, in the apparatus and method for providing health status information using metabolism in blood according to an embodiment of the present invention, the metabolism value in blood is calculated by measuring the amount of glucose and lactate in the blood, and corresponding to the calculated result. By providing health status information, the onset of obesity-related diseases such as obesity and hyperlipidemia can be diagnosed early.

In addition, according to an embodiment of the present invention, by interlocking with a smart phone or a small device to receive health state information, it is possible to check whether a health state is abnormal periodically.

In addition, according to an embodiment of the present invention, it is possible to learn data of past subjects who were provided with health status information, and provide health status information corresponding to the blood metabolism value of the measurement target more accurately by using the learned model. It works.

The present invention has been described with reference to the embodiments shown in the drawings, but these are only exemplary, and those of ordinary skill in the art will understand that various modifications and other equivalent embodiments are possible therefrom. will be. Therefore, the true technical protection scope of the present invention should be determined by the technical idea of the following claims.

100: health state information providing device 110: measuring unit

120: operation unit 130: control unit

140: learning unit 150: output unit

Claims

In the apparatus for providing health status information using metabolism in blood,

A measuring unit for measuring blood glucose and lactate levels of a subject to be measured;

An operation unit that calculates a metabolism value in blood by using the measured value; And

Health state information providing apparatus comprising a control unit for determining the health state of the measurement subject using the measured glucose value and the calculated metabolism value, and providing health state information corresponding to the determination result.
The method of claim 1,

The control unit,

If the blood glucose level is less than X1 and the blood metabolism value exceeds Y2, it is'normal', and if the blood glucose level exceeds X2 and the blood metabolism value is less than Y1, it is'abnormal'. If the glucose level and blood metabolism value do not fall within the above'normal' or'abnormal', the health status is pre-defined as'caution',

Health state information providing apparatus for providing health state information of the measurement subject corresponding to the measured glucose value and the calculated metabolism value using the predefined health state.
The method of claim 1,

The operation unit,

Health state information providing device that calculates the metabolism value by the following equation:

Here, M x is the blood metabolism value, G a is the blood glucose level, and L b is the blood lactate level.
The method of claim 1,

The measurement unit,

A device for providing health status information that simultaneously measures the blood glucose level and the blood lactate level of the measurement subject by using an Amplex red reagent or by an electrochemical method.
The method of claim 2,

The measured glucose level and the calculated blood metabolism value are respectively displayed on a diagram in which the glucose level is the x-axis and the blood metabolism is the y-axis, and health status information corresponding to the determination result determined by the control unit Health status information providing device further comprising an output unit to display and output any one of'health','abnormal' and'attention'.
The method of claim 1,

The current health status is output by inputting at least one of the sex, age, height, weight, body mass index (BMI), obesity-related disease, blood glucose level and blood metabolism value of multiple subjects as input values. Further comprising a learning unit for training the obesity diagnosis model,

The control unit,

Health state information providing apparatus for determining a health state of the measurement subject corresponding to information input from the measurement subject, blood glucose level and blood metabolism value of the measurement subject by using a pre-learned obesity diagnosis model.
The method of claim 1,

The health status information,

Obesity, diabetes, hyperlipidemia, arteriosclerosis, angina pectoris, myocardial infarction, hypertension, fatty liver, metabolic syndrome, hypercholesterolemia, and any one selected from obesity-related diseases including non-alcoholic steatohepatitis.
In the health state information providing method performed by a health state information providing device using blood metabolism,

Measuring blood glucose and lactate levels of the subject to be measured;

Calculating a blood metabolism value using the measured value; And

And determining a health state of the subject to be measured using the measured glucose value and the calculated metabolism value, and providing health state information corresponding to the determination result.
The method of claim 8,

The health state information providing device,

If the blood glucose level is less than X1 and the blood metabolism value exceeds Y2, it is'normal', and if the blood glucose level exceeds X2 and the blood metabolism value is less than Y1, it is'abnormal'. If the glucose level and blood metabolism value do not fall within the above'normal' or'abnormal', the health status is pre-defined as'caution',

Providing the health status information,

Health state information providing method for providing health state information of the measurement subject corresponding to the measured glucose value and the calculated metabolism value using the predefined health state.
The method of claim 8,

The calculating step,

A method of providing health status information for calculating the metabolic value by the following equation:

Here, M x is the blood metabolism value, G a is the blood glucose level, and L b is the blood lactate level.
The method of claim 8,

The measuring step,

A method of providing health status information by simultaneously measuring the blood glucose level and the blood lactate level of the measurement subject by using an Amplex red reagent or by an electrochemical method.
The method of claim 9,

The measured glucose level and the calculated blood metabolism value are respectively displayed on a diagram in which the glucose level is the x-axis and the blood metabolism is the y-axis, and health status information corresponding to the determination result determined by the control unit The method of providing health status information further comprising the step of displaying and outputting one of'health','abnormal' and'attention'.
The method of claim 8,

The current health status is output by inputting at least one of the sex, age, height, weight, body mass index (BMI), obesity-related disease, blood glucose level and blood metabolism value of multiple subjects as input values. Further comprising the step of training an obesity diagnosis model,

Providing the health state information,

A method of providing health status information for determining a health status of the measurement subject corresponding to information input from the measurement subject, blood glucose level and blood metabolism value of the measurement subject using a previously learned obesity diagnosis model.
The method of claim 8,

The health status information,

Obesity, diabetes, hyperlipidemia, arteriosclerosis, angina pectoris, myocardial infarction, hypertension, fatty liver, metabolic syndrome, hypercholesterolemia and obesity-related diseases, including non-alcoholic steatohepatitis, any one selected from among obesity-related diseases.