Biomarkers related with a supra-nutritional metabolic state of selenium and diagnosis method in which said biomarkers are identified

Abstract

The disclosure provides methods and kits for diagnosing the nutritional state of selenium, using six proteins as biomarkers for which the expression increases when the metabolic state is supra-nutritional.

Claims

1. A process for the preparation of an electrophoretic pattern of a reference protein associated with a supranutritional metabolic state of the trace element selenium, the process comprising: I) fractionating plasma proteins by cation exchange to retain proteins complement factor H, plasminogen isoform CRA-f, LOC 366747 protein, complement component 4a, albumin, Da1-24, Ig Gamma-C region 2C chain, H4 heavy chain inter alfa inhibitor, Ig kappa precursor and apolipoprotein H; II) electrophoretically separating the retained plasma proteins into bands; and III) determining the identity and relative abundance of at least a band of complement factor H, thereby providing the electrophoretic pattern of the reference protein associated with a supranutritional metabolic state of the trace element selenium.

2. The process of claim 1, wherein fractionating plasma proteins comprises: a) adding a cation exchange resin to a plasma sample then resuspending the cationic exchange resin until complete homogenization is attained; b) taking a volume of the suspension; c) mixing the volume of the suspension with a 1:9 proportional amount of buffer pH 7.5; d) washing the resin with pH 7.5 buffer plus 0.1 M NaCl; e) elute proteins adsorbed onto the resin with a buffer 1 M NaCl pH 7.5, then removing the resin from the supernatant, and recovering the supernatant.

3. The process of claim 2, wherein electrophoretically separating the retained plasma proteins and determining the identity and relative abundance comprises: a) preparing a 12% polyacrylamide gel; b) mixing a portion of the supernatant obtained at the point e) in step I) with of a loading buffer; c) denaturing proteins in the mixture of supernatant and loading buffer by heat; d) electrophoresing the denatured mixture in a lane of the gel; e) staining the gel with Coomassie blue dye; g) acquiring an image of the stained gel digitally, and h) quantifying densitometrically at least the band of complement factor H, as it is defined by the position of the band in the gel relative to other defined bands in the gel.

4. The process of claim 1, wherein determining the identity of the band comprises: a) cutting the band from the gel; b) digesting the band with trypsin for 12 hours; c) identification of peptide masses by Matrix-Assisted-Laser Desorption-Ionization-Time-Of-Flight Mass Spectrometry (MALDI-TOF MS); and d) determining internal sequences of the ions obtained.

5. The process of claim 1, wherein the bands comprise Bands R-2 to R-15 as follows: TABLE-US-00012 Band Protein R-2 complement factor H R-3 complement factor H R-4 plasminogen isoform CRA-f R-5 LOC 366747 Protein R-6 complement component 4a R-7 Albumin R-8 Da1-24 R-9 Ig Gamma-C region 2C chain R-10 Beta 2 glycoprotein 1 precursor R-11 Ig gamma-2A region C chain R-12 complement component 4a R-13 H4 heavy chain Inter alfa inhibitor R-14 Ig kappa precursor R-15 Apolipoprotein H, wherein the relative abundance of at least bands R-3 and at least one of R-10, R-11, R-12, R-13 and R-15 is determined.

6. The process of claim 5, wherein the relative abundance of at least bands R-3, R-10, R-11, R-12, R-13 and R-15 is determined.

7. A method of determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, comprising: acquiring a blood plasma sample from the subject; fractionating blood plasma proteins in the blood plasma sample by cation exchange to retain proteins complement factor H, plasminogen isoform CRA-f, LOC 366747 protein, complement component 4a, albumin, Da1-24, Ig Gamma-C region 2C chain, H4 heavy chain inter alfa inhibitor, Ig kappa precursor and apolipoprotein H; analyzing the fractions by denaturing electrophoresis on polyacrylamide gel in the presence of sodium dodecyl sulfate (SDS-PAGE) to determine the relative abundance of at least complement factor H represented by band R-3, and optionally one or all peptides represented by the bands R-2 and R-4 to R-15: TABLE-US-00013 Band Protein R-2 complement factor H R-3 complement factor H R-4 plasminogen iso form CRA-f R-5 LOC 366747 Protein R-6 complement component 4a R-7 Albumin R-8 Da1-24 R-9 Ig Gamma-C region 2C chain R-10 Beta 2 glycoprotein 1 precursor R-11 Ig gamma-2A region C chain R-12 complement component 4a R-13 H4 heavy chain Inter alfa inhibitor R-14 Ig kappa precursor R-15 Apolipoprotein H and comparing these results with a reference protein pattern associated with a supranutritional metabolic state of the trace element selenium.

8. The method according to claim 7, wherein the relative abundance of the peptide represented by the band R-3 and a second internal peptide represented by a second band selected from bands R-10, R-11, R-12, R-13 and R-15 is determined.

9. The method according to claim 7, wherein the relative abundance of the peptide represented by the band R-3 and two internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15 is determined.

10. The method according to claim 7, wherein the relative abundance of the peptide represented by the band R-3 and three internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15 is determined.

11. The method according to claim 7, wherein the relative abundance of the peptide represented by the band R-3 and four internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15 is determined.

12. The method according to claim 7, wherein the relative abundance of the peptide represented by the band R-3 and peptides from bands R-10, R-11, R-12, R-13 and R-15 is determined.

13. The method according to claim 7, having relative abundance of each of the bands as follows: TABLE-US-00014 Band Abundance R-2 28498.0 ± 3911.5 R-3 20594.0 ± 4569.2 R-4 21804.3 ± 4211.0 R-5 24582.7 ± 3620.9 R-6 29751.3 ± 2974.0 R-7 37380.8 ± 2955.7 R-8 27224.3 ± 6466.9 R-9 40411.3 ± 5952.4 R-10 14366.6 ± 3087.2 R-11 14064.4 ± 1750.0 R-12 51973.0 ± 4308.2 R-13 13414.1 ± 5568.9 R-14 40436.1 ± 2906.9 R-15 11309.5 ± 6939.5

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) FIG. 1 shows a block diagram of the process for obtaining the proteomic pattern of the supranutritional metabolic state of the trace element selenium.

(2) FIG. 2 shows the bands belonging to the protein pattern.

(3) FIG. 3 shows a pattern of any individual protein.

(4) FIG. 4 shows a protein pattern of an individual subject to dietary supplementation with seleno-methylselenocysteine.

(5) FIG. 5 shows an image of the calibration curve realized with bovine serum albumina. In each band the total protein concentration is shown, loaded on each pathway expressed in mg/ml.

DETAILED DESCRIPTION OF THE INVENTION

(6) The following detailed description is of the best currently contemplated mode of carrying out exemplary embodiments of the invention. The description is not to be taken in a limiting sense, but is made merely for the purpose of illustrating the general principles of the invention, since the scope of the invention is best defined by the appended claims. Various inventive features are described below that can each be used independently of one another or in combination with other features.

(7) The various embodiments disclosed herein provide methods and kits for determining the metabolic status of trace elements in general and in particular, for determining the metabolic status of the trace element selenium derived from selenium containing compounds, for example, seleno-methylselenocysteine.

(8) These procedures find application in assessing the nutritional status of mammals related specifically to the intake of organic forms of selenium, so as to determine the protection status of these organisms against certain diseases. These procedures are also the basis for producing a diagnosis kit for determining the metabolic status of trace elements such as selenium. The various embodiments also relate to the characteristic protein pattern of the metabolic status of trace elements such as selenium, observed in individuals who have received doses of the supranutritional trace elements, particularly of organic selenium in the form of seleno-methylselenocysteine.

(9) FIG. 1 illustrates a block diagram for the process of obtaining the proteomic pattern of the supranutritional metabolic state of the trace element selenium in a subject. As shown, this process includes acquiring a blood plasma sample from a subject or patient; fractionating blood plasma proteins present in the blood plasma, which have a basic isoelectric point; analyzing this fraction by denaturating electrophoresis on polyacrylamide gel in the presence of sodium dodecyl sulfate (SDS-PAGE) to determine the relative abundance of each of the 14 significant protein bands; and comparing these results with a reference protein pattern associated with a supranutritional metabolic state of the trace element, such as the trace element selenium.

(10) The analysis illustrated in FIG. 1 can be performed on plasma samples from any mammal organism (animals and humans). The reference protein pattern may be composed using information from basic isoelectric point proteins in blood plasma by determining the migration distance in SDS-PAGE gel (equivalent to the relative position of each band in the gel) under the conditions specified in the methodology, identifying each protein, and determining the relative abundance of each protein.

(11) As illustrated in the various embodiments and examples provided herein, the protein pattern was obtained using blood plasma from Wistar rats, bred in three groups of 8 rats, 21 days of age (4 females and 4 males) each. The first group, corresponding to “control group A,” was fed “ad libitum” with a diet based on Torula yeast (Dyets Inc, Bethlehem, USA) supplemented with 0.15 μg sodium selenate per gram of diet; the second group, corresponding to “control group B,” was fed “ad libitum” with a diet based on Torula yeast (Dyets Inc, Bethlehem, USA) supplemented with 1.9 μg sodium selenate per gram of diet; and the third group, corresponding the “experimental group,” was fed “ad libitum” with a diet based on Torula yeast (Dyets Inc, Bethlehem, USA) supplemented with 1.9 μg per gram of seleno-methyl-selenocysteine (SMSeC) diet for 10 weeks. The animals had free access to deionized water and received the respective diet ad libitum.

(12) The rat's diet based on Torula yeast (Dyets Inc, Bethlehem, USA), was particularly selected, as it does not contain trace elements, allowing to adequately define the baseline condition of the control group in the experimental protocol, with a minimum contribution of selenium, that represents a normal diet, upon supplementing the diet with different amounts of selenium in different forms for each experimental group. For example, in the case of control group “A,” 0.15 μg sodium selenate per gram of diet was provided.

(13) The animals were kept in stainless steel cages at a controlled temperature equal to 20° C., using 12 hours day/night cycles. After the experimental period (10 weeks), blood samples were collected from each animal by cardiac punction, using standard protocols in heparin tubes. The tubes were inverted 10 times, and immediately placed in an ice bath. The tubes were centrifuged at 1300 RCF at 4° C. during 10 minutes. The plasma was separated from the solids. The supernatant was transferred to a fresh centrifuge tube and was centrifuged at 2400 RCF at 4° C. for 15 minutes. Finally, plasma samples were stored at −80° C. until they were analysed.

(14) The growth of rats for each group was controlled. A uniform behaviour was obtained, both intra- and inter-group, so that the samples would reflect the purpose of the experimental protocol. Table 1 illustrates the growth of rats based on their body weight.

(15) TABLE-US-00003 TABLE 1 Growth of Rats based on their body weight. Sodium Selenate Sodium Selenate SMSeC (1.5 μg) (1.9 μg) (1.9 μg) Initial Final Delta Initial Final Delta Initial Final Delta Females 48.7 184.2 135.5 45.2 210 161.3 50.1 210.3 160.2 49 188.3 139.3 45.3 194.1 145.1 49.8 222.2 172.4 47.9 235.7 187.8 50.6 206 158.1 46.2 225.5 179.3 48.2 189.8 141.6 51.0 228.6 180.4 47.5 208.6 161.1 Average 48.5 199.5 151.1 48.0 209.7 161.2 48.4 216.7 168.3 Males 50.2 316.8 266.6 52.1 343.3 293.1 51.4 296.5 245.1 50.5 326.3 275.8 52.3 328.8 278.3 51.9 308.7 256.8 47.3 318.5 271.2 44.2 339.2 291.9 46.8 322.6 275.8 48.6 293.5 244.9 45.0 284.5 235.9 46.9 287.9 241.0 Average 49.2 313.8 264.6 48.4 324 274.8 49.3 304 254.7 Group 48.8 256.7 207.8 48.2 266.9 218.0 48.8 260.4 211.5 Average

(16) For the preparation of the pattern used, individual plasma samples were analyzed by SDS electrophoresis in polyacrylamide gel according to standard protocols. Prior to electrophoretic analysis, plasma samples were fractioned by “batch” adsorption using an ion exchange resin at pH 7.5. The adsorbed fraction was recovered and analyzed by SDS polyacrylamide gel.

(17) A calibration curve was prepared loading five solutions of different concentrations (0, 0.4, 0.6, 0.8, and 1 mg/ml) [XAOG1].Math.[A2] of bovine serum albumin (as protein standard) in a polyacrylamide gel, and performing SDS-PAGE analysis under the same conditions and with the same protocol as used to analyse the plasma samples. In each lane a single major band was detected, and between the each lane different band intensity was observed due to the different concentration of the protein loaded (FIGS. 2-5). The optical density of each band was determined, as the protein concentration was known in each solution loaded in the different lanes, a linear equation was drawn which correlates the concentration with the intensity of the bands.

(18) The concentration of protein was quantified in each band via optical densitometry and subsequent interpolation in the calibration curve. The concentration average and standard deviation for each band was calculated, considering the 8 samples of each group (controls and experimental). A comparison was made using the Student statistical t-test with a confidence interval 95% to detect significant differences in each band between the experimental and control groups. Statistical analysis indicated that the band R-3 contains a significantly higher concentration of protein in animals fed with 1.9 μg seleno-methyl-selenocysteine per gram of diet, compared with both control groups. In addition, bands R-10, R-11, R-12, R-13 and R-15 contain a significantly higher concentration of protein in animals receiving a diet with 1.9 μg seleno-methyl-selenocysteine per g of diet, compared with the animals that received the basal diet plus 0.15 μg sodium selenate per gram of diet.

(19) Consequently, an individual whose blood plasma obtained with the methods described above and analyzed by the procedure described in this specification, shows a pattern of electrophoretic migration which always presents the R-3 band and optionally one or more of the 13-bands pattern, preferably one or more of the bands R-10, R-11, R-12, R-13 and R-15.

(20) Thus, in one embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, which includes at least one plasma protein of a peptide corresponding to internal complement inhibitory factor represented by the band R-3, and optionally one or all internal peptides represented by the bands R-2 and R-4 to R-15:

(21) TABLE-US-00004 Band Protein R-2 Inhibitory H factor complement R-3 Inhibitory H factor complement R-4 CRA-f plasminogen isophorm R-5 LOC 366747 Protein R-6 4a component complement R-7 Albumina R-8 Da1-24 R-9 Ig Gamma-C region 2C chain R-10 Beta 2 glicoprotein 1 precursor R-11 Ig gamma-2A region C chain R-12 4a component complement R-13 H4 heavy chain Inter alfa inhibitor R-14 Ig kappa precursor R-15 H Apolipoprotein
wherein the bands are obtained with an electrophoretic fractioning of the plasmatic proteins of a basic isoelectric point.

(22) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the internal peptide represented by the band R-3 and a second internal peptide represented by a second band selected from bands R-10, R-11, R-12, R-13 and R-15.

(23) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the internal peptide represented by the band R-3 and two internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(24) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the internal peptide represented by the band R-3 and three internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(25) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the internal peptide represented by the band R-3 and four internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(26) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the internal peptide represented by the band R-3 and four internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(27) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the relative abundance of each of the bands as follows:

(28) TABLE-US-00005 Band Abundance R-2 28498.0 ± 3911.5 R-3 20594.0 ± 4569.2 R-4 21804.3 ± 4211.0 R-5 24582.7 ± 3620.9 R-6 29751.3 ± 2974.0 R-7 37380.8 ± 2955.7 R-8 27224.3 ± 6466.9 R-9 40411.3 ± 5952.4 R-10 14366.6 ± 3087.2 R-11 14064.4 ± 1750.0 R-12 51973.0 ± 4308.2 R-13 13414.1 ± 5568.9 R-14 40436.1 ± 2906.9 R-15 11309.5 ± 6939.5

(29) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the pattern presents an electrophoretic migration pattern that always presents the R-3 band and optionally two or more of the 13-band pattern, preferably two or more bands R-10, R-11, R-12, R-13 and R-15.

(30) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the pattern presents an electrophoretic migration pattern that always presents the R-3 band and optionally three or more of the 13-band pattern, preferably three or more bands R-10, R-11, R-12, R-13 and R-15.

(31) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the pattern presents an electrophoretic migration pattern that always presents the R-3 band and optionally four or more of the 13-band pattern, preferably four or more bands R-10, R-11, R-12, R-13 and R-15.

(32) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the pattern presents an electrophoretic migration pattern that always presents the R-3 band and optionally five or more of the 13 bands in the pattern, where preferably the bands correspond to bands R-10, R-11, R-12, R-13 and R-15.

(33) In another embodiment the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, wherein the pattern presents an electrophoretic migration pattern that always presents the R-3 band and optionally six or more of the 13 bands in the pattern, where preferably 5 of the bands correspond to bands R-10, R-11, R-12, R-13 and R-15.

(34) If the protein concentration in the bands obtained from the sample of an individual is the same as that of the pattern, in the respective bands (not exceeding a difference of 5%, corresponding to the tolerable error), it is presumed that the individual has an adequate metabolic state of selenium for the prevention of certain diseases such as cancer and cardiovascular disease, among others.

(35) If, on the contrary, the protein concentration in these bands, is lower than that found in the pattern, then it is presumed that the individual has a deficient selenium metabolic state, and therefore presents a greater risk of developing some types of cancer and cardiovascular disease. In this case, we would recommend increasing the intake of foods rich in selenium, or consumption of a specific alimentary supplement.

(36) In the experimental protocol designed in rats, the bands R-2, R-4, R-5, R-6, R-7, R-8, R-9 and R-15 remained unchanged in relation to their intensity.

(37) In other embodiments, the disclosure provides processes for the preparation of a reference protein associated with a supranutritional metabolic state of the trace element selenium, which includes: a) fractionating plasma proteins of a basic isoelectric point; b) electrophoretically separating plasma proteins with a basic isoelectric point; and c) determining the identity and relative abundance of each of the bands.

(38) In other embodiments, the disclosure provides processes for the preparation of an electrophoretic pattern of a reference protein associated with a supranutritional metabolic state of the trace element selenium, by: I) fractionating plasma proteins with a basic isoelectric point; II) electrophoretically separating the plasma proteins with a basic isoelectric point into bands; and III) determining the identity and relative abundance of each of the bands, thereby providing the electrophoretic pattern of the reference protein associated with a supranutritional metabolic state of the trace element selenium.

(39) In other embodiments, the disclosure provides processes for the preparation of an electrophoretic pattern of a reference protein associated with a supranutritional metabolic state of the trace element selenium, by: I) fractionating plasma proteins with a basic isoelectric point; by: a) resuspending a cationic exchange until complete homogenisation is attained; b) taking a volume of the suspension, between 50 and 500 μL, preferably between 50 and 200 μL, more preferably 100 μL; c) mixing in a microcentrifuge tube of 50 to 500 μL, preferably between 50 and 200 μL, more preferably 100 μL of plasma with a 1:9 proportional amount of buffer pH 7.5; d) preparing the cationic exchange resin; and e) adding the plasma protein sample obtained in step c), homogenizing gently for 30 minutes and separating the resin from the supernatant, discarding the supernatant, and washing the resin with the same volume of pH 7.5 buffer plus 0.1M NaCl, three times, elute the adsorbed proteins by adding a suitable volume, preferably between 40 and 80 μL, more preferably 50 μL of buffer over 1M NaCl pH 7.5, homogenizing, separating the resin from the supernatant, and finally recovering the supernatant.

(40) In other embodiments, the disclosure provides processes for the preparation of an electrophoretic pattern of a reference protein associated with a supranutritional metabolic state of the trace element selenium, by: I) fractionating plasma proteins with a basic isoelectric point; II) electrophoretically separating the plasma proteins with a basic isoelectric point into bands, by: a) preparing a 12% polyacrylamide gel; b) mixing 20 μL of the sample obtained at the point d) in step I) with 5 μL of loading buffer (composite standard SDS-PAGE analysis); c) denaturing by heat; d) charging the denatured mixture in a lane and make the electrophoretic run for a total of 160 Vh; e) disassembling the system and recover the electrophoresis gel; f) diluting the gel with Coomassie blue and revealed with a solution of acetic acid and methanol with stirring; g) acquire images digitally, and h) quantifying densitometrically the relative abundance of each of the bands, as it is defined the position of the bands in the gel SDS-PAGE and their relative abundance.

(41) In other embodiments, the disclosure provides processes for the preparation of an electrophoretic pattern of a reference protein associated with a supranutritional metabolic state of the trace element selenium, by: I) fractionating plasma proteins with a basic isoelectric point; II) electrophoretically separating the plasma proteins with a basic isoelectric point into bands; and III) determining the identity and relative abundance of each of the bands, by: a) scission of the band directly from the gel; b) digestion with trypsin for 12 hours; c) identification of peptide masses by Matrix-Assisted-Laser Desorption-Ionization-Time-Of-Flight Mass Spectrometry (MALDI-TOF MS); and d) determining internal sequences of the ions obtained.

(42) In other embodiments, the disclosure provides a protein electrophoretic pattern for determining the metabolic state of the trace element selenium, prepared by the processes disclosed herein.

(43) In other embodiments, the disclosure provides methods for determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, by acquiring a blood plasma sample from the subject; fractionating blood plasma proteins in the blood plasma sample that have a basic isoelectric point; analyzing the fractions by denaturating electrophoresis on polyacrylamide gel in the presence of sodium dodecyl sulfate (SDS-PAGE) to determine the relative abundance of each of 14 significant protein bands, wherein the protein bands comprise the internal complement inhibitory factor represented by the band R-3, and optionally one or all internal peptides represented by the bands R-2 and R-4 to R-15:

(44) TABLE-US-00006 Band Protein R-2 Inhibitory H factor complement R-3 Inhibitory H factor complement R-4 CRA-f plasminogen isophorm R-5 LOC 366747 Protein R-6 4a component complement R-7 Albumina R-8 Da1-24 R-9 Ig Gamma-C region 2C chain R-10 Beta 2 glicoprotein 1 precursor R-11 Ig gamma-2A region C chain R-12 4a component complement R-13 H4 heavy chain Inter alfa inhibitor R-14 Ig kappa precursor R-15 H Apolipoprotein

(45) and comparing these results with a reference protein pattern associated with a supranutritional metabolic state of the trace element selenium.

(46) In other embodiments, the disclosure provides methods for determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, wherein the internal peptide represented by the band R-3 and a second internal peptide represented by a second band selected from bands R-10, R-11, R-12, R-13 and R-15.

(47) In other embodiments, the disclosure provides methods for determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, wherein the internal peptide represented by the band R-3 and two internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(48) In other embodiments, the disclosure provides methods for determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, wherein the internal peptide represented by the band R-3 and three internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(49) In other embodiments, the disclosure provides methods for determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, wherein the internal peptide represented by the band R-3 and four internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(50) In other embodiments, the disclosure provides methods for determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, wherein the internal peptide represented by the band R-3 and four internal peptides selected from bands R-10, R-11, R-12, R-13 and R-15.

(51) In other embodiments, the disclosure provides methods for determining the supranutritional metabolic state of the trace element selenium in a mammalian subject, having relative abundance of each of the bands as follows:

(52) TABLE-US-00007 Band Abundance R-2 28498.0 ± 3911.5 R-3 20594.0 ± 4569.2 R-4 21804.3 ± 4211.0 R-5 24582.7 ± 3620.9 R-6 29751.3 ± 2974.0 R-7 37380.8 ± 2955.7 R-8 27224.3 ± 6466.9 R-9 40411.3 ± 5952.4 R-10 14366.6 ± 3087.2 R-11 14064.4 ± 1750.0 R-12 51973.0 ± 4308.2 R-13 13414.1 ± 5568.9 R-14 40436.1 ± 2906.9 R-15 11309.5 ± 6939.5

(53) In other embodiments, the disclosure provides a nutritional diagnostic kit, comprising a cationic exchange resin and buffers for chromatographic separation of blood plasma proteins in amounts proportional to a listing with the relative abundance of each one of the pattern bands (in arbitrary units) and use instructions and calculations.

(54) Preparation and Characterization of Protein Patterns of the Reference.

(55) The reference pattern for protein corresponds to the set of plasma proteins of basic isoelectric point obtained and separated by the following methodology.

(56) Stage A: Chromatographic Fractionation of Plasma Proteins Basic Isoelectric Point.

(57) 1. Resuspend the cationic exchange resin, carefully turning the package containing the resin. When total homogenization is achieved, a certain volume of suspension is taken, between 50 and 500 μL, preferably between 50 and 200 μL, more preferably 100 μL.

(58) 2. Mix in a microcentrifuge tube around 50 to 500 μL, preferably between 50 and 200 μL, more preferably 100 μL of plasma with a 1:9 proportional amount of buffer pH 7.5, until a ionic strength equal to 0.1M, is attained, this is if you take 100 μL of plasma, 900 μL buffer must be added to achieve a 1:10 dilution, and obtain a plasma protein solution with an ionic strength equivalent to 0.09 to 0.1M of NaCl.

(59) 3. To prepare the cationic exchange resin, it is necessary to decant the resin from the original suspension volume, discarding the supernatant and washing the resin by adding an amount equivalent to the discarded supernatant buffer pH 7.5 plus 0.1M NaCl, repeating the procedure 3 times.

(60) The protein sample obtained from stage 2 is added and mixed gently homogenizing it for 30 minutes and the resin is separated from the supernatant, the supernatant is discarded and the resin is washed with the same volume of pH 7.5 buffer plus 0.1M NaCl, three times. The adsorbed proteins are eluted by adding a suitable volume, preferably between 40 and 80 μL, more preferably 50 L of pH 7.5 buffer over 1M NaCl, homogenized, the resin is separated from the supernatant, and finally supernatant is recuperated, which corresponds to the fraction of plasma proteins with a basic isoelectric point.

(61) Stage B: Electrophoretic Separation of Plasma Proteins of a Basic Isoelectric Point.

(62) A 12% polyacrylamide gel is prepared, according to standard protocols. A 20 μl of the sample obtained in item 3 and 5 μL of loading buffer (standard composition for SDS analysis) is subject to denaturation by heat. The denatured mixture is loaded into a lane and the electrophoretic run is performed, for a total of 160 Vh. The electrophoresis system is disassembled and the gel is recovered. Subsequently, the gel is dyed with Coomassie blue and is developed with a solution of acetic acid and methanol under stirring, the images are obtained digitally, and with a scanner suitable for gels, it is then densitometrically the relative abundance of each of the bands is quantified, this defines the position of the bands in the SDS-PAGE gel and their relative abundance.

(63) The identity of each of the bands belonging to the pattern is determined by mass spectrometry, according to the following procedure.

(64) The band is directly scissioned from the gel.

(65) Digestion with trypsin for 12 hours.

(66) Determination of peptidic masses by Matrix-Assisted-Laser Desorption-Ionization-Time-Of-Flight Mass Spectrometry (MALDI-TOF MS).

(67) Determination of the internal sequences of the ions obtained by searching the database non-redundant NCBI, using a search engine such as Mascot.

(68) The identity and relative abundance supranutritional indicative of supplementation with the trace element, particularly selenium as seleno-methyl-selenocysteine are presented in Table 2. The relative abundance is expressed in arbitrary units, and the values were obtained by densitometric analysis of the images.

(69) TABLE-US-00008 TABLE 2 Identity and relative abundance (arbitrary units obtained by densitometry) of proteins belonging to the protein pattern. Band Protein Abundance R-2 H inhibitory factor complement   28498 ± 3911.5 R-3 H inhibitory factor complement 20594.0 ± 4569.2 R-4 CRA f isophorm plasminogen 21804.3 ± 4211.0 R-5 LOC366747 Protein 24582.7 ± 3620.9 R-6 4a component complement 29751.3 ± 2974.0 R-7 Albumina 37380.8 ± 2955.7 R-8 Da 1-24 27224.3 ± 6466.9 R-9 2C chainCregion Ig Gamma 40411.3 ± 5952.4 R-10 Precursor β-2-glicoprotein 1 14366.6 ± 3087.2 R-11 2A Region C Ig Gamma chain 14644.4 ± 1750.0 R-12 4a component complement 51973.0 ± 4308.2 R-13 Heavy chain H4 inter α inhibitor 13414.1 ± 5568.9 R-14 Ig Kappa precursor 40436.1 ± 2906.9 R-15 H apolipoprotein 11309.5 ± 6939.5

(70) The identity of each protein was defined based on internal amino acid sequences obtained as a result of a mass spectrometry analysis and are presented in Table 3.

(71) TABLE-US-00009 TABLE 3 amino acid sequences of internal peptides that define and characterize each of the protein bands belonging to the pattern. Band Protein Location Mass Sequence SEQ ID NO. R-2 H factor  98-109 1254.6501 R.LAVGSEFEFGAK.V 1 inhibitory 157-175 2128.0417 R.IVSGAAEPDQEYYFGQVVR.F 2 complement 335-341 959.4684 R.LYYEESR.R 3 342-351 1173.6975 R.RPYFPVPIGK.E 4 568-583 1923.0242 R.ECSIPLLHQDLVVFPR.E 5 677-688 1566.7673 K.WTTLPICVEYER.T 6 R-3 H factor 68-78 1242.6162 K.NGEWVPSNPSR.I 7 inhibitory  98-109 1254.6638 R.LAVGSEFEFGAK.V 8 complement 110-127 2193.0398 K.VVYTCDEGYQLLGEIDYR.E 9 157-175 2128.0510 R.IVSGAAEPDQEYYFGQVVR.F 10 335-341 959.4765 R.LYYEESR.R 11 342-351 1173.7095 R.RPYFPVPIGK.E 12 532-545 1832.8197 K.LDYECHIGYENEYK.H 13 568-583 1923.0341 R.ECSIPLLHQDLVVFPR.E 14 677-688 1566.7772 K.WTTLPICVEYER.T 15 R4 Plasminogen 183-190 1138.5184 R.WEYCDIPR.C 16 CRA f isoform 228-235 1040.5140 R.WSEQTPHR.H 17 255-272 2110.9292 R.NPDGETAPWCYTTDSQLR.W 18 340-355 1871.8251 K.TPANFPDAGLEMNYCR.N 19 444-452 1073.5895 R.IFTPQTNPR.A 20 628-639 1428.6952 R.TLCYITGWGETK.G 21 730-736 979.5190 R.YVNWIER.E 22 R-5 LOC366747 214-226 1525.7568 K.NVLEGSDEYLVCK.I 23 protein 258-266 917.5026 R.DAFSGPAPR.K 24 270-280 1279.6925 R.LICEATNFSPK.Q 25 281-294 1598.9260 K.QITVSWLQDGKPVK.S 26 465-476 1330.8132 K.HPPAVYLLPPAR.E 27 493-506 1663.9037 K.GFSPADIFVQWLQR.G 28 R-6 4a component 74-84 1220.6804 K.LSSGNDFVLLR.L 29 complement 122-135 1522.8032 K.ATETQGVNLLFSSR.R 30 137-153 1970.0049 R.GHIFVQTDQPIYNPGQR.V 31 324-335 1315.7145 K.VNTEIGDLEGLR.L 32 466-478 1413.7917 R.GPGFLSIEPLDLR.S 33 482-491 1106.6425 R.VGDTFVLSLR.T 34 587-612 2631.4067 K.LQLQTDSEALVALGAVDTALYAVGGR.S 35 R-7 Albumina 66-75 1149.6484 K.LVQEVTDFAK.T 36 170-184 1903.9540 R.HPYFYAPELLYYAEK.Y 37 247-257 1266.6704 R.FPNAEFAEITK.L 38 348-360 1609.8210 K.DVFLGTFLYEYSR.R 39 362-372 1299.7390 R.HPDYSVSLLLR.L 40 422-434 1479.8319 K.LGEYGFQNAILVR.Y 41 439-452 1439.8130 K.APQVSTPTLVEAAR.N 42 470-483 1662.8865 R.LPCVEDYLSAILNR.L 43 R-8 Da1-24 899-916 2145.0947 R.DLEIEEVLFHPNYDINGK.K 44 918-933 1832.9236 K.AEGISEFYDYDVALIK.L 45 1063-1078 1805.9933 R.FIQVGVISWGVVDVCK.D 46 1083-1091 1061.6064 R.QQLVPSYAR.D 47 1092-1105 1770.0070 R.DFHINLFQVLPWLK.E 48 R-9 Ig Gamma- 31-40 1136.6453 K.GYFPEPVTVK.W 49 region C chain 184-199 1865.9828 R.VVSTLHIQHQDWMSGK.E 50 2C 275-291 1991.0200 K.NTLPVLDSDESYFLYSK.L 51 292-301 1209.5912 K.LSVDTDSWMR.G 52 R-10 Precursor β-2- 223-231 1035.5844 K.ATVLYQGQR.V 53 glicoprotein 1 R-11 Ig Gamma- 134-149 1829.9404 K.VTCVVVDISQNDPEVR.F 54 chain 2A region 150-169 2357.1711 R.FSWFIDDVEVHTAQTHAPEK.Q 55 C 177-186 1136.6730 R.SVSELPIVHR.D 56 198-209 1229.6815 K.VNSGAFPAPIEK.S 57 246-257 1515.7472 K.GFYPPDIYTEWK.M 58 R-12 4 a component 1459-1467 1224.6470 R.VQYTVCIWR.N 59 complement 1504-1526 2680.3430 R.YVSHFETDGPHVLLYFDSVPT 60 1609-1615 976.4586 TR.E 61 1675-1689 1671.8259 K.FACYYPR.V 62 1690-1709 2380.1084 K.EYLIMGMDGVTSDLK.G 63 1690-1709 2396.1174 K.GDPQYLLDSNTWIEEMPSER.L R-13 Heavy Chain 721-739 2118.0168 K.VVEQEGTTPEESPNPDHPR.A 64 interalfa 768-781 1530.8813 K.LFVDINQGLEWGK.Y 65 inhibitor 851-863 1456.8385 K.VTISLLSLDDPQR.G 66 901-910 1104.6414 R.VLGIDYPATR.E 67 R-14 Ig kappa 210-225 1964.9181 K.ADYESHNLYTCEVVHK.T 68 precursor R-15 Apolipoprotein 22-38 1910.0905 R.TCPKPDELPFAVVVPLK.T 69 H 64-78 1778.9408 R.FTCPLTGMWPINTLK.0 70 83-96 1530.8506 R.VCPFAGILENGVVR.Y 71 130-139 1214.6355 K.WSPELPVCAR.I 72

(72) Determination of metabolic state in an individual of a trace element such as selenium.

(73) The samples must pass through the stages A and B as described in the preparation of the pattern.

(74) Step C: Comparing the Protein Pattern of the Reference.

(75) It compares the SDS-PAGE gel of the sample collected and treated with the protein pattern characteristic of a supranutritional intake of a trace element, in this case, the organic form of selenium as provided in seleno-methyl-selenocysteine, and evaluating the presence of the same bands and its relative abundance in each of the bands.

(76) A statistical analysis (t-Student with an interval of 95%) is performed to detect significant differences between the relative abundance of the corresponding protein bands between the sample and pattern.

(77) Finally, the nutritional diagnosis is as follows. First, the presence of the bands defined above was evaluated, in the sample and the pattern, so if the sample shows the characteristic band R-3 and optionally one or more of the 13 characteristic bands identified above, in the same position of the pattern, it is presumed that the individual has a metabolic state of the trace element analysed comparable to the benchmark, in this case, the sample and the pattern are to assess the nutritional status with respect to selenium.

(78) Next, the relative abundance of each protein was evaluated, so if the statistical analysis indicates the result that at least one of the bands equivalent to the pattern is significantly less abundant with respect to pattern, then the individual presents a metabolic state of the trace element which is lower than the supranutritional mentioned below. If the statistical analysis yields a result with no significant differences in the abundance of these bands, equivalent to the one of the individual with respect to pattern, then the individual presents a metabolic state similar to the supranutritional trace element.

(79) In applying this methodology, the samples are preferably analysed in triplicate and the results correspond to the average plus/minus standard deviation of the relative abundance of each protein band belonging to the reference standard or pattern.

(80) Diagnostic Kit

(81) The present invention can be used for the generation and production of a kit for nutritional diagnostic, which consists of cationic exchange resin, packed in a column or immobilized on a membrane, more bottles or containers which contain (i) pH 7.5 buffer to which 0.1M NaCl have been added, and (ii) pH 7.5 buffer to which 1M NaCl have been added, and additionally contain a list stating the relative abundance of each band pattern (in arbitrary units), and instruction manuals and calculus.

EXAMPLES

(82) The examples below, illustrate an embodiment of the present invention, being understood that the methods can be applied to other variations and modifications, provided they do not part from technical problem solved by this patent application.

Example 1

(83) A sample of blood plasma was obtained from an individual who has not undergone any nutritional treatment. This plasma sample was subjected to the methodology described above, and the following results were obtained. Table 4 shows the relative abundance for each of the bands of the sample, and comparing these with abundances set by the reference standard for the corresponding bands.

(84) TABLE-US-00010 TABLE 4 The relative abundance of the bands Relative abundance [UA] Relative abundance [UA] N° Band of the pattern of the individual R-2 28498.0 ± 3911.5 24683.4 ± 9003.6  R-3 20594.0 ± 4569.2 9590.5 ± 6422.7 R-4 21804.3 ± 4211.0 18281.2 ± 10428.2 R-5 24582.7 ± 3620.9 20634.1 ± 8307.7  R-6 29751.3 ± 2974.0 24660.2 ± 9198.7  R-7 37380.8 ± 2955.7 35796.5 ± 7202.0  R-8 27224.3 ± 6466.9 23275.5 ± 9097.0  R-9 40411.3 ± 5952.4 36933.5 ± 13447.2 R-10 14366.6 ± 3087.2 7476.1 ± 2769.6 R-11 14064.4 ± 1750.0 8272.3 ± 2235.5 R-12 51973.0 ± 4308.2 8234.3 ± 4670.6 R-13 13414.1 ± 5568.9 7359.4 ± 6305.3 R-14 40436.1 ± 2906.9 35282.3 ± 5058.6  R-15 11309.5 ± 6939.5 5369.7 ± 4779.3

(85) The comparison used the Student's t-test, with a confidence interval of 95%. The asterisk indicates bands that showed significant differences with respect to pattern (p-value less than 0.05 which is considered acceptable) and are highlighted in Table 4. The interpretation of the results, based on the methodology would be as follows.

(86) The plasma sample analysed has the same number of bands in the same position as the reference protein pattern previously analysed the individual which has a metabolic state comparable to the selenium pattern obtained in cases of administration of selenium with supranutritional doses. Six of the bands belonging to the pattern, showed statistically significant differences in their relative abundance: R-3 (complement inhibitory factor H), R-10 (Precursor β-2-glycoprotein 1), R-11 (Ig gamma-chain 2A region C), R-12 (complement component 4a), R-13 (Inter-α-inhibitor heavy chain H4) and R-15 (Apolipoprotein H).

(87) These proteins were significantly less abundant in the sample with respect to the reference standard, therefore, it can be concluded that the individual has a metabolic state of organic selenium intake associated with lower doses than those considered supranutritional. This indirectly reflects that the individual has a greater susceptibility to contracting or developing certain diseases which risk is significantly reduced when the body has a metabolic supranutritional selenium. Also, increase the selenium dose ingested in the form of organic seleno methylselenocysteine by this individual, to improve their health.

Example 2

(88) A sample of plasma from an individual who has undergone treatment with a nutritional dietary supplement seleno methylselenocysteine. This plasma sample was subject to the methodology described above, and the following were the results. Table 5 shows the relative abundance for each of the bands for the sample and the reference standard.

(89) TABLE-US-00011 TABLE 5 Densitometric quantification of bands in FIG 4. Relative abundance Relative abundance N° Band [UA] of the pattern [UA] of the individual R-2 28498.0 ± 3911.5 29498.0 ± 3911.5 R-3 20594.0 ± 4569.2 22594.0 ± 4569.2 R-4 21804.3 ± 4211.0 21994.3 ± 4211.0 R-5 24582.7 ± 3620.9 25682.7 ± 3620.9 R-6 29751.3 ± 2974.0 30751.3 ± 2974.0 R-7 37380.8 ± 2955.7 37560.8 ± 2955.7 R-8 27224.3 ± 6466.9 28124.3 ± 6466.9 R-9 40411.3 ± 5952.4 41211.3 ± 5952.4 R-10 14366.6 ± 3087.2 14666.6 ± 3087.2 R-11 14064.4 ± 1750.0 13964.4 ± 1750.0 R-12 51973.0 ± 4308.2 52073.0 ± 4308.2 R-13 13414.1 ± 5568.9 15414.1 ± 5568.9 R-14 40436.1 ± 2906.9 41436.1 ± 2906.9 R-15 11309.5 ± 6939.5 12009.5 ± 6939.5

(90) For comparison, Student's t-test with a confidence interval of 95% confidence was used. In this case, it showed no significant differences in comparison with the pattern. The interpretation of the results, based on the methodology would be as follows.

(91) The plasma sample analysed has the same number of bands in the same position, as the reference protein pattern therefore the analysed individual has a metabolic state comparable to the selenium pattern obtained in cases of the administration of selenium at supranutritional doses. None of the bands obtained in the sample, showed statistically significant differences in the banding pattern in their relative abundance. Therefore, it concludes, that the individual has a metabolic state of organic selenium intake associated with adequate doses and considered as supranutritional. This indirectly reflects that the individual has less susceptibility to contracting or developing certain diseases whose risk is significantly reduced when the body has a selenium supranutritional metabolic state.

(92) It will be appreciated that variations of the above disclosed and other features and function, or alternatives thereof, may be desirably combined into many other different systems or applications. Also that various presently unforeseen or unanticipated alternatives, modifications, variations or improvements therein may be subsequently made by those of skill in the art which are also intended to be encompassed by the following claims.