Device and process for the quantitative evaluation of the polypeptides and markers contained in a sample of body fluid for recognizing pathological conditions

Information

  • Patent Application
  • 20070082402
  • Publication Number
    20070082402
  • Date Filed
    September 03, 2004
    20 years ago
  • Date Published
    April 12, 2007
    17 years ago
Abstract
Devices and processes for the quantitative evaluation of the polypeptides contained in a sample of body fluid and markers for recognizing pathological conditions are described. The polypeptides are compared with reference values stored in a data base. These reference values are stored as data records of polypeptides relevant to the condition, which respectively comprise at least some information about the probability of the occurrence and/or the concentration of the polypeptides for a pathological condition in samples of healthy and diseased subjects.
Description

The invention relates to devices and processes for the quantitative evaluation of the polypeptides contained in a sample of body fluid and comparison with reference values stored in a data base as well as of markers for recognizing pathological conditions.


From DE 100 21 737 C2, a process and a device for the qualitative and/or quantitative determination of a protein and/or polypeptide pattern of a liquid sample have been known. Proteins arid/or polypeptides of a liquid sample are separated by means of capillary electrophoresis, then directly ionized and transferred through an interface to an on-line coupled mass spectrometer for detection.


For monitoring the state of a human or animal body over an extended period, reference and sample values describing this state as well as deviations and correspondences derived therefrom are automatically stored in a data base, and when the protein and/or peptide pattern is again determined, a search for optimum correspondence is automatically performed.


It has been found that very reliable statements about conditions of the human and animal body are already possible with the polypeptide patterns acquired to date. They can supplement or replace the previously usual examination and diagnostic methods. Especially for diabetes and diabetic nephropathy, extensive reference and sample values for the determination of polypeptide patterns have been obtained in the meantime.


Diabetes is often a precursor of diabetic nephropathy, which can develop over years and decades. Diabetic nephropathy proceeds through several stages. An early diagnosis of diabetic nephropathy is hardly possible with the presently available means, and it is only possible with great expenditure and only at a relatively late time.


A diagnosis in good time and persistent therapy of manifest nephropathy would not only prevent or delay obligatory dialysis, but also lower the high cardiovascular risk in the patient suffering from diabetes.


It has been found that polypeptide patterns of a liquid sample, e.g., urine, enable a diagnosis already in an early stage of the disease. Further examinations show that the diagnosis of diseases other than the above mentioned diabetes and diabetic nephropathy is also possible through polypeptide patterns.


It is the object of the invention to provide a definition of the polypeptides suitable for computer-aided storage and evaluation in a device and a process for the quantitative evaluation of the polypeptides contained in a sample of body fluid and comparison with reference values stored in a data base.


This object is achieved in a device for the quantitative evaluation of the polypeptides contained in a sample of body fluid and comparison with reference values stored in a data base, characterized in that said reference values are stored as data records of polypeptides relevant to the condition, which respectively comprise at least some information about the probability of the occurrence and/or the concentration of the polypeptides for a pathological condition in samples of healthy and diseased subjects, and in a process for the quantitative evaluation of the polypeptides contained in a sample of body fluid and comparison with reference values stored in a data base, characterized in that said reference values are employed for the comparison as data records of polypeptides relevant to the condition by comparing a value about the probability of the occurrence and/or the concentration of the polypeptides in the sample of body fluid with at least one reference value about the probability of the occurrence and/or the concentration of the polypeptides for a pathological condition in samples of healthy and diseased subjects.


A further object of the invention is to provide a marker for recognizing pathological conditions through a definition of the polypeptides contained which is suitable for storage and evaluation.


This object is achieved with a marker for recognizing pathological conditions, characterized by a plurality of polypeptides relevant to the condition which are respectively linked with a piece of information about the probability of the occurrence and/or the concentration of the polypeptide for a pathological condition in samples of healthy and diseased subjects.


Further developments and advantageous embodiments can be seen from the respective dependent claims.


In the invention, data for those polypeptides whose concentration in the body fluid is clearly changed in a pathological condition as compared to a normal condition are evaluated. In preliminary studies, such polypeptides may be established with a large number of subjects.


Each polypeptide is linked with pieces of information which comprise, for a pathological state, information about the probability of the occurrence and/or the concentration in healthy and diseased subjects.


When the polypeptides from liquid samples are compared with reference values, an assignment is found for each polypeptide compared of the liquid sample in terms of whether its occurrence and/or concentration represents a healthy or disease condition. By comparing a multitude of polypeptides, a bias of the overall result by a few individual deviations from the typical occurrence probability and concentrations can be reduced or avoided.


According to a further embodiment, the polypeptides can also be defined by stating their related mass and their related retention time in capillary electrophoresis.


Thus, the data of capillary electrophoresis and mass spectrometry are directly adopted. These data are different for all polypeptides, but unambiguous, so that the data are sufficient for definition. For example, the retention time in capillary electrophoresis can be determined by capillary electrophoresis using a glass capillary having a length of 90 cm and an inner diameter (ID) of 75 μm and an outer diameter (OD) of 360 μm at a voltage of 30 kV, wherein 30% methanol, 0.5% formic acid in water is used as a solvent for the sample.


For the diagnosis “diabetes” and “kidney damage”, special data records of polypeptides relevant to the condition have been summarized in a data base which was established and confirmed by using urine samples from a multitude of subjects. Individual polypeptides, a combination of polypeptides or all polypeptides can be compared.


Since the representativeness of many polypeptides for a healthy and pathological condition is redundant, a comparison of only one of these polypeptides could be sufficient in the simplest case. However, in order to eliminate errors from statistical uncertainties or individual deviations, the comparison of a combination of the polypeptides relevant to the condition is to be sought. An optimum result is achieved if all the polypeptides listed are compared.


These polypeptides serving as markers may also potentially be therapeutic targets. Thus, it is possible to develop therapeutical agents of which these polypeptides are either the basis or the target structure. Thus, the occurrence and/or the concentration of the polypeptides are respectively changed by supplementation and/or antibodies in the body in such a way that their concentration in the body fluid examined again takes normal values.




In the following, the invention is illustrated by means of the drawings in which:



FIG. 1 shows graphical representations of individual intermediate steps in the data acquisition for defining the polypeptide patterns;



FIG. 2 shows graphical representations of polypeptide patterns and their interrelationship.




In the Example of the invention, the presence as well as the concentration of a large number of polypeptides in the urine are analyzed. Currently, this is done by using capillary electrophoresis coupled to a mass spectrometer (CE-MS), but may also be done selectively by other methods.


The results of the CE-MS measurement symbolized by the graph in FIG. 1a lead to a polypeptide pattern of typically 500-1500 polypeptides after preparing a three-dimensional representation by plotting the retention time on the x axis, the mass on the y axis and the signal amplitude on the z axis. FIG. 1b shows the representation of the “raw data” from which relevant signals, referred to as “acknowledged signals” in FIG. 1c, are first filtered out by means of a filtering and evaluation software, followed by calculating a polypeptide pattern, referred to as “polypeptide pattern” in FIG. 1d. The polypeptides are annotated/identified in the CE by their mass and retention time. Their concentration is calculated through the amplitude of the signal.


The data forming the polypeptide pattern are filed in a data base. The pieces of information necessary for the unambiguous identification are stored in a separate data record for each relevant polypeptide. FIG. 1e symbolically shows a screen display of several data records.


To recognize the essential polypeptides, urine from patients with and without diagnosed diabetic nephropathy or with and without diagnosed diabetes is examined by means of CE-MS.


From the data base comparison of over 50 measurements, a typical polypeptide pattern of subjects with healthy kidneys could be established. With the same technology, urine samples from over 200 patients with diabetes type I and type II were measured. These patients represent collectives of different stages of kidney diseases, from completely non-pathological to values of over 3 g of protein/day in the urine.


For analyzing the data, the patients were divided into four groups as shown in the following Table.

Number ofClassificationClassificationGroupsubjectsTypediabetesnephropathyK060healthy subjects, no diabetes“healthy”“healthy”diagnosed, no proteinuriaP0120diagnosed diabetes, no proteinuria“diseased”P161diagnosed diabetes, increased“diseased”protein content in the urineP223diagnosed diabetes, highlyincreased protein content in theurine (signs of nephropathy)


From the collected polypeptide patterns of an examination group, a group-specific polypeptide pattern is developed. The thus obtained polypeptide patterns show typical deviations from the normal samples, i.e., changes in individual polypeptides. For illustration, graphical representations of the group-specific polypeptide patterns according to the Table are shown in FIG. 2.


The polypeptide patterns of groups K0, P0, P1 and P2 are represented in FIGS. 2a, 2b, 2c and 2d, respectively. From the polypeptide patterns of groups K0, P0, P1 and P2, a synthetic overall picture is composed, which is then used for establishing a polypeptide pattern according to FIG. 2e as a marker profile.


For searching for relevant markers, only those polypeptides are recurred to which could be found in at least one of the groups in a relevant number, of more then 40% in this case. Subsequently, those polypeptides were considered which enabled a distinction to be made between the classes “healthy” and “diseased”. It was taken care that there was a consistent development over the groups.


The changes in the polypeptide pattern are in part due to the basic disease diabetes and thus can be found uniformly in all diabetes patients, and in part due to or even the cause of a beginning/progressing nephropathy. Thus, these polypeptides can be employed as markers for the diagnosis of diabetes or diabetic nephropathy.


The polypeptides present therein are subsequently searched for in the examined patient samples, whereupon their presence or absence is used for making a diagnosis as shown in FIG. 2f.


The following Table summarizes the particularly relevant marker polypeptides as found within the scope of the recognition of a diabetic nephropathy. The polypeptides mentioned here serve for the recognition of the disease in an early stage and can be used singly, in subsets or in a complete combination.


The list contains 380 polypeptides defined by their mass and their retention time in capillary electrophoresis. The continuous numbers from 1 to 157 represent the marker peptides used for the diagnosis “diabetes”. The continuous numbers from 158 to 380 include the marker peptides employed for the diagnosis “kidney damage”. Within these two groups, the polypeptides are sorted first by the criterion of whether it is a “positive” polypeptide, i.e., one which is increased in the case of disease, or a “negative” one. Subsequently, the polypeptides are sorted by their masses in ascending order.


In the following Table, the individual columns have the following meanings:

No.continuous numberIDinternal identification numberTimeCE time in minutes and standard deviationMassPolypeptide mass in Daltons and standard deviation% healthypercent occurrence in the “healthy” class% diseasedpercent occurrence in the “diseased” classTypeBehavior of the marker in a pathological state:positive: The marker occurs with a higher probability in the“diseased” condition as compared to the “healthy”condition.negative: The marker occurs with a lower probability in the“diseased” condition as compared to the “healthy”condition.





















No.
ID
Time [min]
Mass [Da]
% healthy
% diseased
Type





















1
36
22.9 ± 3.05
 834.5 ± 0.10
3%
54%
Diabetes positive


2
73
22.9 ± 3.03
 869.4 ± 0.17
14%
63%
Diabetes positive


3
2295
24.2 ± 1.89
 874.5 ± 0.09
28%
66%
Diabetes positive


4
109
22.2 ± 2.19
 907.5 ± 0.13
0%
41%
Diabetes positive


5
122
29.0 ± 2.35
 910.5 ± 0.09
15%
47%
Diabetes positive


6
150
22.9 ± 3.18
 947.6 ± 0.22
17%
51%
Diabetes positive


7
165
26.8 ± 2.98
 950.5 ± 0.12
0%
24%
Diabetes positive


8
215
23.2 ± 4.87
 995.6 ± 0.14
23%
50%
Diabetes positive


9
287
27.4 ± 3.59
1082.6 ± 0.16
0%
44%
Diabetes positive


10
301
32.3 ± 1.99
1096.5 ± 0.14
10%
51%
Diabetes positive


11
381
26.8 ± 3.85
1176.6 ± 0.13
21%
59%
Diabetes positive


12
2598
22.3 ± 3.45
1222.8 ± 0.22
17%
56%
Diabetes positive


13
438
30.6 ± 3.31
1236.6 ± 0.11
24%
59%
Diabetes positive


14
4246
52.6 ± 4.80
1285.0 ± 0.09
14%
54%
Diabetes positive


15
543
28.8 ± 3.98
1332.7 ± 0.20
23%
55%
Diabetes positive


16
4694
49.8 ± 4.72
1332.8 ± 0.16
8%
38%
Diabetes positive


17
544
26.7 ± 2.79
1355.8 ± 0.15
17%
56%
Diabetes positive


18
589
24.6 ± 2.84
1386.8 ± 0.14
53%
77%
Diabetes positive


19
602
26.8 ± 3.26
1403.7 ± 0.21
8%
46%
Diabetes positive


20
584
17.8 ± 4.12
1405.9 ± 0.15
14%
56%
Diabetes positive


21
635
31.5 ± 3.71
1442.7 ± 0.27
15%
55%
Diabetes positive


22
618
32.1 ± 3.38
1449.8 ± 0.14
41%
85%
Diabetes positive


23
722
31.3 ± 5.27
1592.4 ± 0.38
3%
46%
Diabetes positive


24
3234
43.4 ± 4.41
1783.4 ± 0.30
33%
63%
Diabetes positive


25
858
29.4 ± 3.08
1789.2 ± 0.39
28%
75%
Diabetes positive


26
3259
38.4 ± 1.09
1818.9 ± 0.21
28%
67%
Diabetes positive


27
3058
37.7 ± 1.04
1821.4 ± 0.39
14%
56%
Diabetes positive


28
882
24.4 ± 2.55
1829.2 ± 0.23
45%
81%
Diabetes positive


29
5462
51.1 ± 4.11
1854.7 ± 0.41
14%
54%
Diabetes positive


30
3281
37.6 ± 3.30
1856.8 ± 0.48
33%
56%
Diabetes positive


31
906
24.7 ± 2.63
1872.9 ± 0.35
43%
72%
Diabetes positive


32
930
28.3 ± 3.47
1949.5 ± 0.32
17%
73%
Diabetes positive


33
949
31.6 ± 2.90
1955.1 ± 0.32
55%
79%
Diabetes positive


34
957
31.3 ± 3.00
1971.0 ± 0.45
20%
54%
Diabetes positive


35
988
37.8 ± 2.40
2032.0 ± 0.30
25%
60%
Diabetes positive


36
1001
30.9 ± 4.69
2061.4 ± 0.58
10%
38%
Diabetes positive


37
1016
33.8 ± 3.76
2092.2 ± 0.46
18%
45%
Diabetes positive


38
1059
27.7 ± 4.43
2185.6 ± 0.46
10%
36%
Diabetes positive


39
3271
32.9 ± 1.48
2189.4 ± 0.34
14%
54%
Diabetes positive


40
3492
39.6 ± 5.31
2229.4 ± 0.48
5%
39%
Diabetes positive


41
1078
24.5 ± 5.14
2229.9 ± 0.33
25%
63%
Diabetes positive


42
1197
28.3 ± 3.30
2502.9 ± 0.56
20%
48%
Diabetes positive


43
1243
24.9 ± 4.84
2621.6 ± 0.97
20%
45%
Diabetes positive


44
3710
37.5 ± 4.52
2669.8 ± 0.39
23%
67%
Diabetes positive


45
5507
20.8 ± 4.47
2752.2 ± 0.76
35%
64%
Diabetes positive


46
1304
24.9 ± 4.31
2795.7 ± 0.96
13%
40%
Diabetes positive


47
5687
48.2 ± 3.61
3246.1 ± 0.43
0%
30%
Diabetes positive


48
1629
20.9 ± 3.33
3844.0 ± 0.52
3%
54%
Diabetes positive


49
1869
21.9 ± 2.62
4961.5 ± 0.89
10%
40%
Diabetes positive


50
1950
18.6 ± 2.91
5497.0 ± 0.66
18%
42%
Diabetes positive


51
12
20.4 ± 2.20
 808.4 ± 0.10
58%
9%
Diabetes negative


52
108
45.3 ± 2.03
 897.5 ± 0.09
48%
7%
Diabetes negative


53
143
31.4 ± 1.08
 929.5 ± 0.11
98%
46%
Diabetes negative


54
2533
41.2 ± 1.41
 946.4 ± 0.10
85%
36%
Diabetes negative


55
2565
28.0 ± 1.04
 980.5 ± 0.07
85%
31%
Diabetes negative


56
220
26.7 ± 2.26
1000.5 ± 0.09
83%
41%
Diabetes negative


57
228
27.8 ± 1.51
1008.5 ± 0.10
95%
41%
Diabetes negative


58
232
29.3 ± 2.55
1012.5 ± 0.10
63%
17%
Diabetes negative


59
2627
43.6 ± 2.03
1047.5 ± 0.11
90%
26%
Diabetes negative


60
5947
25.0 ± 3.91
1052.6 ± 0.08
45%
4%
Diabetes negative


61
286
37.4 ± 5.63
1066.5 ± 0.14
58%
13%
Diabetes negative


62
295
22.8 ± 1.78
1075.5 ± 0.13
68%
26%
Diabetes negative


63
309
28.9 ± 3.89
1088.6 ± 0.15
65%
21%
Diabetes negative


64
2681
44.4 ± 2.06
1106.5 ± 0.11
80%
18%
Diabetes negative


65
328
34.1 ± 1.80
1107.5 ± 0.10
88%
35%
Diabetes negative


66
342
42.8 ± 3.26
1120.5 ± 0.06
60%
14%
Diabetes negative


67
356
29.1 ± 2.26
1134.6 ± 0.10
95%
49%
Diabetes negative


68
359
28.2 ± 3.00
1137.7 ± 0.11
70%
24%
Diabetes negative


69
344
45.5 ± 2.34
1139.5 ± 0.20
83%
22%
Diabetes negative


70
381
32.9 ± 1.25
1159.6 ± 0.11
80%
27%
Diabetes negative


71
401
23.3 ± 4.17
1180.5 ± 0.16
50%
9%
Diabetes negative


72
421
43.8 ± 2.08
1200.6 ± 0.11
95%
50%
Diabetes negative


73
425
27.2 ± 3.22
1204.6 ± 0.17
60%
17%
Diabetes negative


74
6860
44.9 ± 2.53
1209.5 ± 0.09
83%
17%
Diabetes negative


75
2793
47.8 ± 2.73
1224.6 ± 0.12
75%
19%
Diabetes negative


76
464
25.6 ± 2.43
1246.7 ± 0.15
73%
30%
Diabetes negative


77
2833
47.9 ± 2.66
1268.6 ± 0.09
68%
25%
Diabetes negative


78
2840
43.9 ± 1.80
1277.5 ± 0.10
70%
28%
Diabetes negative


79
2841
46.0 ± 2.69
1278.5 ± 0.09
58%
10%
Diabetes negative


80
2651
33.1 ± 1.82
1282.6 ± 0.13
62%
7%
Diabetes negative


81
2893
29.3 ± 3.88
1331.7 ± 0.18
65%
12%
Diabetes negative


82
2959
45.9 ± 4.78
1405.5 ± 0.33
93%
45%
Diabetes negative


83
620
44.4 ± 3.90
1423.6 ± 0.16
60%
20%
Diabetes negative


84
663
19.2 ± 3.40
1484.8 ± 0.19
68%
13%
Diabetes negative


85
3114
36.9 ± 2.02
1609.6 ± 0.13
85%
13%
Diabetes negative


86
3136
38.9 ± 3.78
1639.7 ± 0.27
63%
19%
Diabetes negative


87
769
33.2 ± 3.34
1662.9 ± 0.21
62%
5%
Diabetes negative


88
770
35.8 ± 2.19
1664.6 ± 0.29
66%
10%
Diabetes negative


89
785
36.2 ± 4.78
1666.6 ± 0.34
75%
29%
Diabetes negative


90
3165
35.9 ± 2.98
1678.1 ± 0.44
60%
18%
Diabetes negative


91
3192
37.3 ± 2.99
1716.8 ± 0.23
73%
19%
Diabetes negative


92
2988
46.5 ± 4.38
1717.5 ± 0.37
79%
15%
Diabetes negative


93
832
37.9 ± 4.18
1746.0 ± 0.33
83%
34%
Diabetes negative


94
3258
25.1 ± 2.25
1817.6 ± 0.27
65%
8%
Diabetes negative


95
878
34.2 ± 3.95
1823.4 ± 0.47
73%
30%
Diabetes negative


96
894
29.1 ± 3.59
1849.8 ± 0.30
100%
56%
Diabetes negative


97
3314
49.3 ± 4.49
1914.1 ± 0.36
88%
38%
Diabetes negative


98
3117
44.2 ± 4.23
1916.7 ± 0.33
69%
10%
Diabetes negative


99
3383
39.8 ± 2.19
2030.8 ± 0.35
93%
38%
Diabetes negative


100
5215
31.9 ± 1.61
2118.9 ± 0.21
73%
14%
Diabetes negative


101
1056
41.2 ± 2.45
2179.3 ± 0.42
58%
17%
Diabetes negative


102
5269
20.1 ± 2.78
2219.0 ± 0.26
53%
13%
Diabetes negative


103
1090
25.8 ± 2.70
2256.9 ± 0.47
85%
26%
Diabetes negative


104
3314
45.1 ± 5.23
2273.4 ± 0.42
79%
22%
Diabetes negative


105
3317
40.7 ± 1.90
2279.0 ± 0.33
90%
20%
Diabetes negative


106
1117
26.8 ± 3.73
2320.2 ± 0.55
78%
34%
Diabetes negative


107
1123
23.6 ± 3.10
2332.2 ± 0.35
53%
11%
Diabetes negative


108
1129
44.5 ± 3.08
2345.6 ± 0.46
75%
34%
Diabetes negative


109
1146
25.7 ± 5.16
2384.5 ± 0.63
65%
21%
Diabetes negative


110
3592
38.5 ± 3.62
2423.9 ± 0.41
88%
29%
Diabetes negative


111
3595
34.2 ± 2.92
2429.9 ± 0.51
65%
18%
Diabetes negative


112
3398
23.3 ± 2.54
2443.3 ± 0.46
66%
5%
Diabetes negative


113
3446
41.7 ± 3.72
2548.1 ± 0.57
69%
15%
Diabetes negative


114
1215
27.3 ± 4.77
2548.3 ± 0.66
83%
35%
Diabetes negative


115
5421
43.6 ± 2.08
2548.3 ± 0.23
95%
41%
Diabetes negative


116
1227
24.0 ± 3.11
2581.5 ± 0.47
60%
13%
Diabetes negative


117
1230
24.0 ± 2.70
2587.4 ± 0.40
80%
26%
Diabetes negative


118
1238
41.7 ± 3.06
2606.8 ± 0.55
78%
35%
Diabetes negative


119
1237
31.3 ± 4.92
2636.4 ± 0.48
72%
12%
Diabetes negative


120
1253
25.5 ± 3.62
2644.2 ± 0.41
88%
33%
Diabetes negative


121
1244
29.2 ± 1.07
2654.0 ± 0.37
66%
0%
Diabetes negative


122
1272
29.8 ± 3.50
2698.2 ± 0.63
90%
29%
Diabetes negative


123
1266
43.0 ± 2.26
2710.5 ± 0.37
79%
5%
Diabetes negative


124
3749
25.1 ± 1.64
2761.3 ± 0.35
88%
44%
Diabetes negative


125
1301
31.3 ± 2.79
2808.5 ± 0.56
79%
22%
Diabetes negative


126
1326
42.0 ± 3.22
2876.5 ± 0.48
62%
7%
Diabetes negative


127
1342
33.7 ± 3.34
2898.7 ± 0.50
85%
43%
Diabetes negative


128
3595
42.2 ± 2.68
2908.1 ± 0.53
72%
17%
Diabetes negative


129
3598
35.4 ± 2.63
2917.6 ± 0.58
72%
12%
Diabetes negative


130
3843
35.4 ± 0.77
2978.1 ± 0.49
85%
35%
Diabetes negative


131
3849
36.1 ± 1.42
2994.6 ± 0.80
83%
24%
Diabetes negative


132
1380
43.5 ± 2.99
3023.4 ± 0.65
93%
34%
Diabetes negative


133
1388
44.4 ± 3.35
3045.2 ± 0.61
69%
12%
Diabetes negative


134
1398
22.9 ± 3.47
3076.4 ± 0.96
66%
7%
Diabetes negative


135
1404
35.7 ± 1.99
3082.3 ± 0.43
73%
22%
Diabetes negative


136
1419
33.6 ± 3.53
3136.8 ± 0.61
95%
47%
Diabetes negative


137
1425
21.7 ± 3.14
3154.8 ± 0.44
55%
10%
Diabetes negative


138
1437
26.5 ± 1.92
3193.7 ± 0.53
78%
32%
Diabetes negative


139
1441
24.4 ± 3.02
3206.3 ± 0.72
66%
7%
Diabetes negative


140
1454
28.2 ± 2.80
3250.9 ± 0.71
63%
18%
Diabetes negative


141
1469
48.2 ± 3.46
3293.2 ± 0.74
93%
39%
Diabetes negative


142
1467
31.4 ± 1.60
3295.7 ± 0.33
95%
40%
Diabetes negative


143
1479
27.2 ± 3.58
3338.4 ± 0.79
80%
34%
Diabetes negative


144
1495
37.3 ± 2.11
3381.6 ± 0.63
78%
26%
Diabetes negative


145
1517
27.6 ± 2.49
3452.1 ± 0.49
58%
15%
Diabetes negative


146
1523
37.3 ± 1.50
3463.0 ± 0.83
72%
15%
Diabetes negative


147
1556
19.6 ± 2.89
3583.4 ± 0.75
79%
20%
Diabetes negative


148
1571
34.0 ± 2.55
3634.4 ± 0.74
86%
29%
Diabetes negative


149
4086
37.7 ± 2.61
3681.8 ± 1.38
55%
14%
Diabetes negative


150
1586
25.5 ± 2.25
3686.2 ± 0.60
86%
20%
Diabetes negative


151
1602
36.0 ± 3.89
3735.7 ± 0.57
70%
28%
Diabetes negative


152
1634
30.3 ± 1.58
3852.3 ± 0.56
83%
41%
Diabetes negative


153
3920
29.6 ± 1.46
4098.4 ± 0.59
93%
20%
Diabetes negative


154
1942
28.8 ± 1.18
5428.8 ± 0.67
70%
19%
Diabetes negative


155
1995
33.1 ± 0.69
6187.5 ± 1.13
83%
10%
Diabetes negative


156
4309
26.0 ± 4.82
6212.0 ± 1.41
75%
26%
Diabetes negative


157
2160
23.3 ± 2.19
9868.8 ± 1.33
66%
0%
Diabetes negative


158
32
21.7 ± 5.12
 830.5 ± 0.11
4%
40%
Nephropathy positive


159
69
32.4 ± 1.83
 866.4 ± 0.11
0%
40%
Nephropathy positive


160
111
30.6 ± 3.07
 909.5 ± 0.13
11%
40%
Nephropathy positive


161
152
32.8 ± 3.14
 937.5 ± 0.11
14%
73%
Nephropathy positive


162
155
24.9 ± 2.97
 952.5 ± 0.16
11%
40%
Nephropathy positive


163
238
32.1 ± 2.44
1033.5 ± 0.11
5%
40%
Nephropathy positive


164
280
24.4 ± 2.87
1060.6 ± 0.16
17%
68%
Nephropathy positive


165
353
27.5 ± 2.86
1131.6 ± 0.16
20%
68%
Nephropathy positive


166
402
33.4 ± 3.48
1181.6 ± 0.15
22%
73%
Nephropathy positive


167
424
33.0 ± 2.52
1203.6 ± 0.14
9%
50%
Nephropathy positive


168
2586
26.5 ± 3.68
1211.6 ± 0.14
14%
40%
Nephropathy positive


169
2595
33.1 ± 0.91
1219.6 ± 0.15
18%
40%
Nephropathy positive


170
2601
32.8 ± 3.30
1225.6 ± 0.13
12%
40%
Nephropathy positive


171
510
30.7 ± 3.18
1297.7 ± 0.20
31%
82%
Nephropathy positive


172
526
34.1 ± 2.05
1333.7 ± 0.23
9%
40%
Nephropathy positive


173
2898
44.7 ± 4.06
1337.5 ± 0.20
19%
59%
Nephropathy positive


174
2955
27.9 ± 4.19
1398.8 ± 0.36
29%
77%
Nephropathy positive


175
2975
21.3 ± 5.08
1423.7 ± 0.49
6%
50%
Nephropathy positive


176
633
28.1 ± 4.95
1439.8 ± 0.19
19%
68%
Nephropathy positive


177
651
24.5 ± 2.42
1466.0 ± 0.27
9%
77%
Nephropathy positive


178
641
27.5 ± 4.93
1482.0 ± 0.42
33%
40%
Nephropathy positive


179
642
29.8 ± 4.43
1482.9 ± 0.28
18%
40%
Nephropathy positive


180
662
24.3 ± 2.65
1483.7 ± 0.28
26%
91%
Nephropathy positive


181
675
24.6 ± 1.98
1500.0 ± 0.20
38%
86%
Nephropathy positive


182
711
24.6 ± 2.90
1553.1 ± 0.28
14%
64%
Nephropathy positive


183
713
29.0 ± 4.83
1556.7 ± 0.45
26%
73%
Nephropathy positive


184
720
24.2 ± 2.48
1567.0 ± 0.22
26%
86%
Nephropathy positive


185
740
28.8 ± 4.53
1596.9 ± 0.31
21%
86%
Nephropathy positive


186
777
24.5 ± 2.43
1652.8 ± 0.25
14%
59%
Nephropathy positive


187
787
26.3 ± 2.63
1669.8 ± 0.37
20%
64%
Nephropathy positive


188
3200
33.1 ± 3.22
1729.2 ± 0.36
6%
45%
Nephropathy positive


189
3210
30.5 ± 4.11
1744.4 ± 0.46
16%
59%
Nephropathy positive


190
6963
25.1 ± 3.42
1754.4 ± 0.41
53%
95%
Nephropathy positive


191
3230
24.2 ± 1.56
1776.0 ± 0.27
9%
50%
Nephropathy positive


192
3036
18.5 ± 3.55
1791.0 ± 0.38
7%
40%
Nephropathy positive


193
843
32.2 ± 5.38
1792.9 ± 0.31
28%
40%
Nephropathy positive


194
3043
 9.7 ± 2.54
1799.8 ± 0.29
0%
40%
Nephropathy positive


195
870
25.3 ± 2.89
1810.9 ± 0.38
43%
91%
Nephropathy positive


196
895
24.6 ± 2.34
1851.1 ± 0.21
43%
95%
Nephropathy positive


197
903
27.2 ± 4.46
1867.3 ± 0.42
38%
91%
Nephropathy positive


198
939
25.0 ± 3.97
1966.0 ± 0.53
16%
40%
Nephropathy positive


199
947
28.7 ± 3.08
1982.8 ± 0.57
11%
40%
Nephropathy positive


200
965
29.5 ± 5.53
1986.3 ± 0.36
15%
64%
Nephropathy positive


201
979
23.3 ± 4.46
2045.9 ± 0.32
32%
40%
Nephropathy positive


202
1013
33.7 ± 3.16
2115.1 ± 0.53
30%
40%
Nephropathy positive


203
3263
20.5 ± 2.78
2177.1 ± 0.37
9%
40%
Nephropathy positive


204
1083
18.1 ± 4.24
2241.6 ± 0.41
9%
59%
Nephropathy positive


205
1087
21.2 ± 2.49
2250.7 ± 0.38
23%
64%
Nephropathy positive


206
1091
27.5 ± 2.53
2258.7 ± 0.49
9%
59%
Nephropathy positive


207
1135
20.0 ± 3.30
2356.4 ± 0.41
13%
59%
Nephropathy positive


208
1149
28.1 ± 3.95
2391.4 ± 0.42
13%
64%
Nephropathy positive


209
1156
25.7 ± 4.85
2406.1 ± 0.57
20%
77%
Nephropathy positive


210
1163
22.8 ± 4.28
2423.2 ± 0.53
14%
64%
Nephropathy positive


211
1165
21.9 ± 4.45
2427.3 ± 0.40
31%
91%
Nephropathy positive


212
1182
19.2 ± 4.24
2465.1 ± 0.62
9%
77%
Nephropathy positive


213
5398
25.4 ± 5.25
2493.0 ± 0.38
9%
50%
Nephropathy positive


214
3627
19.5 ± 4.66
2494.0 ± 0.66
12%
77%
Nephropathy positive


215
5610
23.7 ± 4.27
2494.9 ± 0.49
7%
40%
Nephropathy positive


216
3640
24.4 ± 5.51
2522.0 ± 0.67
17%
82%
Nephropathy positive


217
1212
20.1 ± 3.61
2540.5 ± 0.54
14%
68%
Nephropathy positive


218
3673
22.3 ± 4.72
2593.5 ± 0.30
7%
55%
Nephropathy positive


219
1241
20.0 ± 4.87
2613.9 ± 0.83
14%
55%
Nephropathy positive


220
1272
35.1 ± 1.62
2726.5 ± 0.67
61%
20%
Nephropathy positive


221
1289
25.0 ± 4.39
2775.1 ± 0.56
12%
40%
Nephropathy positive


222
1303
21.8 ± 3.78
2790.7 ± 0.55
19%
86%
Nephropathy positive


223
1339
25.9 ± 3.30
2892.2 ± 0.50
9%
50%
Nephropathy positive


224
3819
16.8 ± 2.72
2919.0 ± 0.26
2%
50%
Nephropathy positive


225
1355
21.9 ± 3.23
2937.0 ± 0.49
13%
86%
Nephropathy positive


226
1362
20.0 ± 4.81
2958.8 ± 0.80
5%
59%
Nephropathy positive


227
1358
34.4 ± 2.72
2962.0 ± 0.54
12%
20%
Nephropathy positive


228
1393
28.9 ± 3.56
3059.7 ± 0.78
30%
40%
Nephropathy positive


229
1402
28.3 ± 5.96
3088.0 ± 0.79
7%
20%
Nephropathy positive


230
1494
26.1 ± 2.72
3369.2 ± 0.73
21%
40%
Nephropathy positive


231
1528
26.0 ± 2.89
3483.4 ± 0.95
30%
40%
Nephropathy positive


232
1719
24.5 ± 3.92
4183.3 ± 1.44
4%
40%
Nephropathy positive


233
1734
21.0 ± 5.35
4241.0 ± 0.62
29%
73%
Nephropathy positive


234
1761
23.4 ± 4.09
4370.2 ± 1.01
11%
40%
Nephropathy positive


235
1793
22.8 ± 2.94
4527.6 ± 0.67
1%
45%
Nephropathy positive


236
1825
21.7 ± 3.00
4713.6 ± 0.44
7%
64%
Nephropathy positive


237
2060
24.6 ± 3.73
7556.6 ± 1.55
2%
40%
Nephropathy positive


238
3994
16.7 ± 5.54
8055.1 ± 2.10
12%
40%
Nephropathy positive


239
2229
13.2 ± 5.19
8765.8 ± 0.96
37%
82%
Nephropathy positive


240
2252
15.3 ± 4.97
9181.0 ± 1.28
10%
64%
Nephropathy positive


241
2302
14.0 ± 4.20
10046.1 ± 0.96 
21%
77%
Nephropathy positive


242
2180
18.7 ± 5.50
10208.0 ± 1.24 
2%
40%
Nephropathy positive


243
2323
17.4 ± 4.02
10518.2 ± 1.10 
23%
64%
Nephropathy positive


244
138
35.3 ± 5.04
 924.5 ± 0.12
50%
0%
Nephropathy negative


245
142
43.1 ± 2.61
 928.4 ± 0.08
65%
14%
Nephropathy negative


246
2541
45.7 ± 2.25
 955.5 ± 0.14
60%
5%
Nephropathy negative


247
2594
23.8 ± 2.94
1010.6 ± 0.09
67%
5%
Nephropathy negative


248
248
31.2 ± 1.53
1028.5 ± 0.09
84%
32%
Nephropathy negative


249
2622
45.9 ± 2.27
1041.4 ± 0.10
57%
0%
Nephropathy negative


250
266
31.5 ± 1.98
1046.5 ± 0.09
87%
32%
Nephropathy negative


251
2440
43.4 ± 2.24
1047.5 ± 0.12
68%
0%
Nephropathy negative


252
2442
18.1 ± 4.34
1050.7 ± 0.12
60%
0%
Nephropathy negative


253
304
32.9 ± 3.03
1084.4 ± 0.11
69%
18%
Nephropathy negative


254
347
46.7 ± 2.63
1125.5 ± 0.12
63%
9%
Nephropathy negative


255
2731
46.3 ± 2.70
1157.5 ± 0.10
83%
32%
Nephropathy negative


256
2733
43.7 ± 1.70
1160.5 ± 0.07
72%
18%
Nephropathy negative


257
400
44.5 ± 3.67
1179.5 ± 0.09
97%
36%
Nephropathy negative


258
412
45.0 ± 2.24
1191.6 ± 0.09
60%
9%
Nephropathy negative


259
416
46.2 ± 2.59
1195.5 ± 0.10
98%
32%
Nephropathy negative


260
2575
44.2 ± 1.83
1200.6 ± 0.13
86%
0%
Nephropathy negative


261
442
45.9 ± 2.04
1223.5 ± 0.10
80%
9%
Nephropathy negative


262
441
44.5 ± 2.15
1239.6 ± 0.08
89%
0%
Nephropathy negative


263
2814
47.8 ± 3.08
1246.6 ± 0.11
60%
5%
Nephropathy negative


264
2821
46.8 ± 2.20
1254.7 ± 0.19
56%
5%
Nephropathy negative


265
478
43.2 ± 2.90
1261.5 ± 0.16
91%
36%
Nephropathy negative


266
479
48.6 ± 2.90
1262.5 ± 0.09
65%
0%
Nephropathy negative


267
476
43.9 ± 2.16
1277.6 ± 0.11
67%
0%
Nephropathy negative


268
502
36.7 ± 3.04
1288.7 ± 0.18
72%
23%
Nephropathy negative


269
2856
47.2 ± 3.17
1292.5 ± 0.14
67%
18%
Nephropathy negative


270
521
47.8 ± 2.58
1308.5 ± 0.09
66%
0%
Nephropathy negative


271
4687
48.2 ± 2.67
1321.6 ± 0.11
53%
0%
Nephropathy negative


272
533
34.8 ± 1.81
1321.7 ± 0.23
98%
41%
Nephropathy negative


273
559
46.0 ± 4.93
1351.7 ± 0.15
63%
9%
Nephropathy negative


274
2925
47.7 ± 2.99
1367.6 ± 0.14
97%
23%
Nephropathy negative


275
582
37.8 ± 2.93
1378.6 ± 0.16
87%
36%
Nephropathy negative


276
2946
47.5 ± 2.59
1389.7 ± 0.15
86%
18%
Nephropathy negative


277
2961
46.5 ± 2.28
1407.8 ± 0.20
79%
9%
Nephropathy negative


278
2768
44.6 ± 4.84
1422.1 ± 0.33
70%
0%
Nephropathy negative


279
598
45.4 ± 3.62
1423.8 ± 0.19
75%
0%
Nephropathy negative


280
2976
48.0 ± 2.97
1424.7 ± 0.16
95%
18%
Nephropathy negative


281
638
47.6 ± 3.40
1446.7 ± 0.16
92%
23%
Nephropathy negative


282
2998
46.5 ± 2.95
1450.4 ± 0.25
62%
9%
Nephropathy negative


283
3008
48.0 ± 2.95
1462.6 ± 0.17
97%
9%
Nephropathy negative


284
665
35.7 ± 1.90
1487.7 ± 0.15
70%
18%
Nephropathy negative


285
3031
47.8 ± 2.35
1490.6 ± 0.12
72%
9%
Nephropathy negative


286
3032
49.2 ± 2.77
1491.7 ± 0.12
81%
14%
Nephropathy negative


287
3043
49.0 ± 3.14
1507.8 ± 0.17
99%
32%
Nephropathy negative


288
3055
49.2 ± 2.86
1523.7 ± 0.11
97%
18%
Nephropathy negative


289
3059
48.6 ± 2.70
1529.7 ± 0.19
83%
9%
Nephropathy negative


290
3065
49.2 ± 3.26
1539.7 ± 0.19
98%
23%
Nephropathy negative


291
3070
49.0 ± 3.19
1545.7 ± 0.13
99%
23%
Nephropathy negative


292
3081
49.8 ± 2.76
1561.6 ± 0.19
90%
18%
Nephropathy negative


293
3085
48.4 ± 3.12
1567.7 ± 0.20
65%
9%
Nephropathy negative


294
3089
48.1 ± 2.66
1573.7 ± 0.27
63%
5%
Nephropathy negative


295
3092
48.5 ± 4.03
1577.8 ± 0.35
94%
9%
Nephropathy negative


296
2900
50.6 ± 3.40
1587.1 ± 0.34
65%
0%
Nephropathy negative


297
735
48.6 ± 2.68
1589.7 ± 0.14
86%
18%
Nephropathy negative


298
736
45.9 ± 3.83
1591.7 ± 0.30
79%
18%
Nephropathy negative


299
3105
49.3 ± 3.22
1594.8 ± 0.14
88%
14%
Nephropathy negative


300
3111
48.8 ± 2.78
1605.7 ± 0.13
73%
18%
Nephropathy negative


301
750
48.5 ± 2.81
1611.7 ± 0.14
73%
5%
Nephropathy negative


302
3134
46.3 ± 5.12
1636.4 ± 0.39
79%
23%
Nephropathy negative


303
3145
49.5 ± 3.37
1651.8 ± 0.19
99%
23%
Nephropathy negative


304
780
45.2 ± 5.96
1657.7 ± 0.23
60%
5%
Nephropathy negative


305
790
49.5 ± 3.33
1673.8 ± 0.14
95%
23%
Nephropathy negative


306
2969
49.6 ± 3.05
1689.8 ± 0.18
86%
0%
Nephropathy negative


307
810
26.9 ± 3.18
1706.8 ± 0.30
78%
27%
Nephropathy negative


308
3203
49.4 ± 2.84
1734.4 ± 0.40
65%
5%
Nephropathy negative


309
4983
49.2 ± 3.17
1739.7 ± 0.22
59%
5%
Nephropathy negative


310
3212
45.1 ± 4.21
1748.0 ± 0.28
55%
5%
Nephropathy negative


311
5032
44.2 ± 4.71
1813.6 ± 0.38
58%
5%
Nephropathy negative


312
874
39.1 ± 3.48
1817.0 ± 0.29
85%
18%
Nephropathy negative


313
3272
51.7 ± 3.48
1841.0 ± 0.23
59%
9%
Nephropathy negative


314
3277
50.4 ± 4.56
1848.2 ± 0.43
58%
0%
Nephropathy negative


315
5059
51.5 ± 2.94
1856.8 ± 0.24
59%
5%
Nephropathy negative


316
3285
52.7 ± 4.24
1863.8 ± 0.31
88%
14%
Nephropathy negative


317
914
52.7 ± 3.92
1885.8 ± 0.20
70%
5%
Nephropathy negative


318
3108
47.7 ± 4.69
1902.1 ± 0.33
75%
0%
Nephropathy negative


319
3120
50.6 ± 3.95
1924.0 ± 0.48
68%
0%
Nephropathy negative


320
981
26.6 ± 1.76
2048.5 ± 0.44
86%
20%
Nephropathy negative


321
3415
25.8 ± 1.39
2085.9 ± 0.24
83%
32%
Nephropathy negative


322
3416
39.9 ± 1.45
2087.8 ± 0.34
72%
23%
Nephropathy negative


323
5214
52.8 ± 4.09
2117.1 ± 0.17
78%
9%
Nephropathy negative


324
1020
28.3 ± 3.90
2129.7 ± 0.42
63%
0%
Nephropathy negative


325
3456
40.4 ± 1.53
2158.9 ± 0.26
86%
32%
Nephropathy negative


326
3465
39.7 ± 1.71
2174.9 ± 0.36
97%
45%
Nephropathy negative


327
3491
32.6 ± 1.79
2227.1 ± 0.41
81%
23%
Nephropathy negative


328
1086
29.3 ± 3.50
2249.0 ± 0.41
92%
41%
Nephropathy negative


329
3506
40.6 ± 1.25
2257.1 ± 0.35
94%
45%
Nephropathy negative


330
1097
46.2 ± 5.11
2273.5 ± 0.38
71%
18%
Nephropathy negative


331
1094
40.8 ± 2.66
2296.0 ± 0.40
63%
20%
Nephropathy negative


332
1121
40.9 ± 3.32
2327.6 ± 0.52
85%
36%
Nephropathy negative


333
3551
41.8 ± 2.45
2343.3 ± 0.43
77%
27%
Nephropathy negative


334
3574
40.8 ± 1.31
2385.3 ± 0.32
95%
45%
Nephropathy negative


335
1185
40.9 ± 2.68
2471.5 ± 0.52
69%
14%
Nephropathy negative


336
1193
41.5 ± 2.64
2493.5 ± 0.48
74%
18%
Nephropathy negative


337
5432
52.9 ± 3.98
2570.4 ± 0.27
71%
5%
Nephropathy negative


338
3697
34.1 ± 0.72
2642.8 ± 0.40
86%
36%
Nephropathy negative


339
1268
36.1 ± 2.56
2687.1 ± 0.49
84%
23%
Nephropathy negative


340
1276
42.8 ± 2.33
2710.6 ± 0.46
88%
18%
Nephropathy negative


341
5506
50.6 ± 4.73
2748.6 ± 0.36
64%
0%
Nephropathy negative


342
1371
37.8 ± 1.92
2986.6 ± 0.55
74%
23%
Nephropathy negative


343
1379
23.3 ± 2.07
3007.4 ± 0.50
65%
9%
Nephropathy negative


344
1385
25.9 ± 2.35
3038.3 ± 0.70
46%
0%
Nephropathy negative


345
3868
46.0 ± 2.91
3045.4 ± 0.36
59%
5%
Nephropathy negative


346
5624
53.3 ± 4.05
3057.2 ± 0.64
76%
9%
Nephropathy negative


347
1411
38.9 ± 2.57
3109.0 ± 0.57
88%
14%
Nephropathy negative


348
1435
41.9 ± 3.55
3187.6 ± 0.47
71%
14%
Nephropathy negative


349
1437
26.6 ± 1.15
3193.6 ± 0.41
61%
0%
Nephropathy negative


350
5681
48.3 ± 3.69
3223.8 ± 0.41
88%
18%
Nephropathy negative


351
1458
31.7 ± 3.65
3265.1 ± 0.64
93%
41%
Nephropathy negative


352
1465
29.5 ± 1.76
3291.0 ± 0.52
81%
23%
Nephropathy negative


353
1466
49.2 ± 3.70
3293.1 ± 0.43
91%
14%
Nephropathy negative


354
3968
49.9 ± 3.57
3315.0 ± 0.45
67%
5%
Nephropathy negative


355
3969
43.3 ± 2.04
3319.9 ± 0.66
86%
23%
Nephropathy negative


356
3976
49.1 ± 3.35
3336.7 ± 0.38
63%
9%
Nephropathy negative


357
1486
38.5 ± 2.05
3359.9 ± 0.42
98%
41%
Nephropathy negative


358
1491
38.5 ± 1.92
3360.1 ± 0.65
98%
20%
Nephropathy negative


359
1505
38.5 ± 2.03
3417.1 ± 0.48
95%
45%
Nephropathy negative


360
1510
38.5 ± 1.09
3433.3 ± 0.43
92%
41%
Nephropathy negative


361
1525
51.6 ± 3.50
3478.9 ± 0.48
74%
5%
Nephropathy negative


362
1558
31.7 ± 2.29
3589.7 ± 0.48
73%
18%
Nephropathy negative


363
1570
33.2 ± 3.71
3633.4 ± 0.95
80%
18%
Nephropathy negative


364
1571
36.0 ± 3.18
3636.6 ± 0.73
58%
0%
Nephropathy negative


365
1597
37.9 ± 2.69
3719.5 ± 0.61
67%
9%
Nephropathy negative


366
1603
42.0 ± 3.21
3739.7 ± 0.99
73%
14%
Nephropathy negative


367
1659
25.8 ± 1.20
3947.3 ± 0.67
92%
32%
Nephropathy negative


368
4169
39.4 ± 1.13
4006.6 ± 0.49
62%
5%
Nephropathy negative


369
1685
26.0 ± 3.97
4044.9 ± 0.56
78%
14%
Nephropathy negative


370
1693
30.5 ± 2.17
4070.4 ± 0.48
57%
5%
Nephropathy negative


371
1701
29.5 ± 0.93
4098.6 ± 0.52
86%
32%
Nephropathy negative


372
1702
34.3 ± 2.08
4102.5 ± 0.50
77%
14%
Nephropathy negative


373
1747
34.7 ± 0.63
4290.7 ± 0.52
76%
18%
Nephropathy negative


374
1771
23.5 ± 1.61
4405.8 ± 0.54
51%
0%
Nephropathy negative


375
1841
30.4 ± 1.31
4801.5 ± 1.06
65%
0%
Nephropathy negative


376
1856
32.4 ± 1.31
4863.8 ± 0.64
67%
5%
Nephropathy negative


377
1909
29.5 ± 2.25
5214.0 ± 1.29
51%
0%
Nephropathy negative


378
1994
33.0 ± 0.99
6172.0 ± 1.57
65%
0%
Nephropathy negative


379
2039
33.2 ± 0.75
6187.8 ± 0.75
95%
45%
Nephropathy negative


380
2292
23.8 ± 1.86
9869.7 ± 1.06
69%
14%
Nephropathy negative









In a preferred embodiment of the invention, the device according to the invention or the process according to the invention are additionally characterized in that the polypeptides are defined by stating their related mass and their related retention time in capillary electrophoresis as can be established in capillary electrophoresis coupled to a mass spectrometer. In a further preferred embodiment, the data base for the diagnosis “diabetes” includes at least one, a subset or all data records of polypeptides Nos. 1 to 157 of the above Table. In another further preferred embodiment, the data base for the diagnosis “kidney damage” includes at least one, a subset or all data records of polypeptides Nos. 158 to 380 of the above Table.


In a preferred embodiment of the invention, the marker according to the invention is additionally characterized in that the polypeptides are defined by stating their related mass and their related retention time in capillary electrophoresis as can be established in capillary electrophoresis coupled to a mass spectrometer. In particular, the marker is characterized in that at least one, a subset or all polypeptides Nos. 1 to 157 of the above Table are contained for the diagnosis “diabetes”, and at least one, a subset or all polypeptides Nos. 158 to 380 of the above Table are contained for the diagnosis “kidney damage”.


In a particularly preferred embodiment of the invention, particularly preferred polypeptide combinations can be employed for the device, the process or the marker.


As diabetes “positive” polypeptides, the polypeptides Nos. 32 (A), 1 (B), 48 (C), 2 (D), 44 (E), 22 (F), 9 (G), 23 (H) and 20 (I) and their combinations, especially as stated below, are preferred.


As diabetes “negative” polypeptides, the polypeptides Nos. 123 (A), 153 (B), 155 (C), 105 (D), 150 (E), 121 (F), 157 (G), 92 (H) and 69 (I) and their combinations, especially as stated below, are preferred.


As nephropathy “positive” polypeptides, the polypeptides Nos. 225 (A), 208 (B), 164 (C), 166 (D), 171 (E), 204 (F), 206 (G), 182 (H) and 210 (I) and their combinations, especially as stated below, are preferred.


As nephropathy “negative” polypeptides, the polypeptides Nos. 262 (A), 260 (B), 306 (C), 358 (D), 279 (E), 318 (F), 305 (G), 261 (H) and 278 (I) and their combinations, especially as stated below, are preferred.


In a still further preferred embodiment of the invention, two each of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A and B, A and C, A and D, A and E, A and F, A and G, A and H, A and I,
    • B and C, B and D, B and E, B and F, B and G, B and H, B and I,
    • C and D, C and E, C and F, C and G, C and H, C and I,
    • D and E, D and F, D and G, D and H, D and I,
    • E and F, E and G, E and H, E and I,
    • F and G, F and H, F and I,
    • G and H, G and I, or
    • H and I.


In another further preferred embodiment of the invention, three of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A and B in combination with one of the polypeptides C, D, E, F, G, H or I,
    • A and C in combination with one of the polypeptides D, E, F, G, H or I,
    • A and D in combination with one of the polypeptides E, F, G, H or I,
    • A and E in combination with one of the polypeptides F, G, H or I,
    • A and F in combination with one of the polypeptides G, H or I,
    • A and G in combination with one of the polypeptides H or I,
    • A and H in combination with polypeptide I,
    • B and C in combination with one of the polypeptides D, E, F, G, H or I,
    • B and D in combination with one of the polypeptides E, F, G, H or I,
    • B and E in combination with one of the polypeptides F, G, H or I,
    • B and F in combination with one of the polypeptides G, H or I,
    • B and G in combination with one of the polypeptides H or I,
    • B and H in combination with I,
    • C and D in combination with one of the polypeptides E, F, G, H or I,
    • C and E in combination with one of the polypeptides F, G, H or I,
    • C and F in combination with one of the polypeptides G, H or I,
    • C and G in combination with one of the polypeptides H or I,
    • C and H in combination with I,
    • D and E in combination with one of the polypeptides F, G, H or I,
    • D and F in combination with one of the polypeptides G, H or I,
    • D and G in combination with one of the polypeptides H or I,
    • D and H in combination with I,
    • E and F in combination with one of the polypeptides G, H or I,
    • E and G in combination with one of the polypeptides H or I,
    • E and H in combination with I,
    • F and G in combination with H or I,
    • F and H in combination with I or
    • G and H in combination with I.


In another further preferred embodiment of the invention, four of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A, B and C in combination with one of the polypeptides D, E, F, G, H or I,
    • A, B and D in combination with one of the polypeptides E, F, G, H or I,
    • A, B and E in combination with one of the polypeptides F, G, H or I,
    • A, B and F in combination with one of the polypeptides G, H or I,
    • A, B and G in combination with one of the polypeptides H or I,
    • A, B and H in combination with I,
    • A, C and D in combination with one of the polypeptides E, F, G, H or I,
    • A, C and E in combination with one of the polypeptides F, G, H or I,
    • A, C and F in combination with one of the polypeptides G, H or I,
    • A, C and G in combination with one of the polypeptides H or I,
    • A, C and H in combination with I,
    • A, D and E in combination with one of the polypeptides F, G, H or I,
    • A, D and F in combination with one of the polypeptides G, H or I,
    • A, D and G in combination with one of the polypeptides H or I,
    • A, D and H in combination with I,
    • A, E and F in combination with one of the polypeptides G, H or I,
    • A, E and G in combination with one of the polypeptides H or I,
    • A, E and H in combination with I,
    • A, F and G in combination with one of the polypeptides H or I,
    • A, F and H in combination with I,
    • A, G and H in combination with I,
    • B, C and D in combination with one of the polypeptides E, F, G, H or I,
    • B, C and E in combination with one of the polypeptides F, G, H or I,
    • B, C and F in combination with one of the polypeptides G, H or I,
    • B, C and G in combination with one of the polypeptides H or I,
    • B, C and H in combination with I,
    • B, D and E in combination with one of the polypeptides F, G, H or I,
    • B, D and F in combination with one of the polypeptides G, H or I,
    • B, D and G in combination with one of the polypeptides H or I,
    • B, D and H in combination with I,
    • B, E and F in combination with one of the polypeptides G, H or I,
    • B, E and G in combination with one of the polypeptides H or I,
    • B, E and H in combination with I,
    • B, F and G in combination with one of the polypeptides H or I,
    • B, F and H in combination with I,
    • B, G and H in combination with I,
    • C, D and E in combination with one of the polypeptides F, G, H or I,
    • C, D and F in combination with one of the polypeptides G, H or I,
    • C, D and G in combination with one of the polypeptides H or I,
    • C, D and H in combination with I,
    • C, E and F in combination with one of the polypeptides G, H or I,
    • C, E and G in combination with one of the polypeptides H or I,
    • C, E and H in combination with I,
    • C, F and G in combination with one of the polypeptides H or I,
    • C, F and H in combination with I,
    • C, G and H in combination with I,
    • D, E and F in combination with one of the polypeptides G, H or I,
    • D, E and G in combination with one of the polypeptides H or I,
    • D, E and H in combination with I,
    • D, F and G in combination with one of the polypeptides H or I,
    • D, F and H in combination with I,
    • D, G and H in combination with I,
    • E, F and G in combination with one of the polypeptides H or I,
    • E, F and H in combination with I,
    • E, G and H in combination with I, or
    • F, G and H in combination with I.


In another further preferred embodiment of the invention, five of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A, B, C and D in combination with one of the polypeptides E, F, G, H or I,
    • A, B, C and E in combination with one of the polypeptides F, G, H or I,
    • A, B, C and F in combination with one of the polypeptides G, H or I,
    • A, B, C and G in combination with one of the polypeptides H or I,
    • A, B, C and H in combination with polypeptide I,
    • A, B, D and E in combination with one of the polypeptides F, G, H or I,
    • A, B, D and F in combination with one of the polypeptides G, H or I,
    • A, B, D and G in combination with one of the polypeptides H or I,
    • A, B, D and H in combination with polypeptide I,
    • A, B, E and F in combination with one of the polypeptides G, H or I,
    • A, B, E and G in combination with one of the polypeptides H or I,
    • A, B, E and H in combination with polypeptide I,
    • A, B, F and G in combination with one of the polypeptides H or I,
    • A, B, F and H in combination with polypeptide I,
    • A, B, G and H in combination with polypeptide I,
    • A, C, D and E in combination with one of the polypeptides F, G, H or I,
    • A, C, D and F in combination with one of the polypeptides G, H or I,
    • A, C, D and G in combination with one of the polypeptides H or I,
    • A, C, D and H in combination with polypeptide I,
    • A, C, E and F in combination with one of the polypeptides G, H or I,
    • A, C, E and G in combination with one of the polypeptides H or I,
    • A, C, E and H in combination with polypeptide I,
    • A, C, F and G in combination with one of the polypeptides H or I,
    • A, C, F and H in combination with polypeptide I,
    • A, C, G and H in combination with polypeptide I,
    • A, D, E and F in combination with one of the polypeptides G, H or I,
    • A, D, E and G in combination with one of the polypeptides H or I,
    • A, D, E and H in combination with polypeptide I,
    • A, D, F and G in combination with one of the polypeptides H or I,
    • A, D, F and H in combination with polypeptide I,
    • A, D, G and H in combination with polypeptide I,
    • A, E, F and G in combination with one of the polypeptides H or I,
    • A, E, F and H in combination with polypeptide I,
    • A, E, G and H in combination with polypeptide I,
    • A, F, G and H in combination with polypeptide I,
    • B, C, D and E in combination with one of the polypeptides F, G, H or I,
    • B, C, D and F in combination with one of the polypeptides G, H or I,
    • B, C, D and G in combination with one of the polypeptides H or I,
    • B, C, D and H in combination with polypeptide I,
    • B, C, E and F in combination with one of the polypeptides G, H or I,
    • B, C, E and G in combination with one of the polypeptides H or I,
    • B, C, E and H in combination with polypeptide I,
    • B, C, F and G in combination with one of the polypeptides H or I,
    • B, C, F and H in combination with polypeptide I,
    • B, C, G and H in combination with polypeptide I,
    • B, D, E and F in combination with one of the polypeptides G, H or I,
    • B, D, E and G in combination with one of the polypeptides H or I,
    • B, D, E and H in combination with polypeptide I,
    • B, D, F and G in combination with one of the polypeptides H or I,
    • B, D, F and H in combination with polypeptide I,
    • B, D, G and H in combination with polypeptide I,
    • B, E, F and G in combination with one of the polypeptides H or I,
    • B, E, F and H in combination with polypeptide I,
    • B, E, G and H in combination with polypeptide I,
    • B, F, G and H in combination with polypeptide I,
    • C, D, E and F in combination with one of the polypeptides G, H or I,
    • C, D, E and G in combination with one of the polypeptides H or I,
    • C, D, E and H in combination with polypeptide I,
    • C, D, F and G in combination with one of the polypeptides H or I,
    • C, D, F and H in combination with polypeptide I,
    • C, D, G and H in combination with polypeptide I,
    • C, E, F and G in combination with one of the polypeptides H or I,
    • C, E, F and H in combination with polypeptide I,
    • C, E, G and H in combination with polypeptide I,
    • C, F, G and H in combination with polypeptide I,
    • D, E, F and G in combination with one of the polypeptides H or I,
    • D, E, F and H in combination with polypeptide I,
    • D, E, G and H in combination with polypeptide I,
    • D, F, G and H in combination with polypeptide I or
    • E, F, G and H in combination with polypeptide I.


In another further preferred embodiment of the invention, six of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A, B, C, D and E in combination with one of the polypeptides F, G, H or I,
    • A, B, C, D and F in combination with one of the polypeptides G, H or I,
    • A, B, C, D and G in combination with one of the polypeptides H or I,
    • A, B, C, D and H in combination with polypeptide I,
    • A, B, C, E and F in combination with one of the polypeptides G, H or I,
    • A, B, C, E and G in combination with one of the polypeptides H or I,
    • A, B, C, E and H in combination with polypeptide I,
    • A, B, C, F and G in combination with one of the polypeptides H or I,
    • A, B, C, F and H in combination with polypeptide I,
    • A, B, C, G and H in combination with polypeptide I,
    • A, B, D, E and F in combination with one of the polypeptides G, H or I,
    • A, B, D, E and G in combination with one of the polypeptides H or I,
    • A, B, D, E and H in combination with polypeptide I,
    • A, B, D, F and G in combination with one of the polypeptides H or I,
    • A, B, D, F and H in combination with polypeptide I,
    • A, B, D, G and H in combination with polypeptide I,
    • A, B, E, F and G in combination with one of the polypeptides H or I,
    • A, B, E, F and H in combination with polypeptide I,
    • A, B, E, G and H in combination with polypeptide I,
    • A, B, F, G and H in combination with polypeptide I,
    • A, C, D, E and F in combination with one of the polypeptides G, H or I,
    • A, C, D, E and G in combination with one of the polypeptides H or I,
    • A, C, D, E and H in combination with polypeptide I,
    • A, C, D, F and G in combination with one of the polypeptides H or I,
    • A, C, D, F and H in combination with polypeptide I,
    • A, C, D, G and H in combination with polypeptide I,
    • A, C, E, F and G in combination with one of the polypeptides H or I,
    • A, C, E, F and H in combination with polypeptide I,
    • A, C, E, G and H in combination with polypeptide I,
    • A, C, F, G and H in combination with polypeptide I,
    • A, D, E, F and G in combination with one of the polypeptides H or I,
    • A, D, E, F and H in combination with polypeptide I,
    • A, D, E, G and H in combination with polypeptide I,
    • A, D, F, G and H in combination with polypeptide I,
    • A, E, F, G and H in combination with polypeptide I,
    • B, C, D, E and F in combination with one of the polypeptides G, H or I,
    • B, C, D, E and G in combination with one of the polypeptides H or I,
    • B, C, D, E and H in combination with polypeptide I,
    • B, C, D, F and G in combination with one of the polypeptides H or I,
    • B, C, D, F and H in combination with polypeptide I,
    • B, C, D, G and H in combination with polypeptide I,
    • B, C, E, F and G in combination with one of the polypeptides H or I,
    • B, C, E, F and H in combination with polypeptide I,
    • B, C, E, G and H in combination with polypeptide I,
    • B, C, F, G and H in combination with polypeptide I,
    • B, D, E, F and G in combination with one of the polypeptides H or I,
    • B, D, E, F and H in combination with polypeptide I,
    • B, D, E, G and H in combination with polypeptide I,
    • B, D, F, G and H in combination with polypeptide I,
    • B, E, F, G and H in combination with polypeptide I,
    • C, D, E, F and G in combination with one of the polypeptides H or I,
    • C, D, E, F and H in combination with polypeptide I,
    • C, D, E, G and H in combination with polypeptide I,
    • C, D, F, G and H in combination with polypeptide I,
    • C, E, F, G and H in combination with polypeptide I, or
    • D, E, F, G and H in combination with polypeptide I.


In another further preferred embodiment of the invention, seven of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A, B, C, D, E and F in combination with one of the polypeptides G, H or I,
    • A, B, C, D, E and G in combination with one of the polypeptides H or I,
    • A, B, C, D, E and H in combination with polypeptide I,
    • A, B, C, D, F and G in combination with one of the polypeptides H or I,
    • A, B, C, D, F and H in combination with polypeptide I,
    • A, B, C, D, G and H in combination with polypeptide I,
    • A, B, C, E, F and G in combination with one of the polypeptides H or I,
    • A, B, C, E, F and H in combination with polypeptide I,
    • A, B, C, E, G and H in combination with polypeptide I,
    • A, B, C, F, G and H in combination with polypeptide I,
    • A, B, D, E, F and G in combination with one of the polypeptides H or I,
    • A, B, D, E, F and H in combination with polypeptide I,
    • A, B, D, E, G and H in combination with polypeptide I,
    • A, B, D, F, G and H in combination with polypeptide I,
    • A, B, E, F, G and H in combination with polypeptide I,
    • A, C, D, E, F and G in combination with one of the polypeptides H or I,
    • A, C, D, E, F and H in combination with polypeptide I,
    • A, C, D, E, G and H in combination with polypeptide I,
    • A, C, D, F, G and H in combination with polypeptide I,
    • A, C, E, F, G and H in combination with polypeptide I,
    • A, D, E, F, G and H in combination with polypeptide I,
    • B, C, D, E, F and G in combination with one of the polypeptides H or I,
    • B, C, D, E, F and H in combination with polypeptide I,
    • B, C, D, E, G and H in combination with polypeptide I,
    • B, C, D, F, G and H in combination with polypeptide I,
    • B, C, E, F, G and H in combination with polypeptide I,
    • B, D, E, F, G and H in combination with polypeptide I, or
    • C, D, E, F, G and H in combination with polypeptide I.


In another further preferred embodiment of the invention, eight of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A, B, C, D, E, F, G and H,
    • A, B, C, D, E, F, G and I,
    • A, B, C, D, E, F, H and I,
    • A, B, C, D, E, G, H and I,
    • A, B, C, D, F, G, H and I,
    • A, B, C, E, F, G, H and I,
    • A, B, D, E, F, G, H and I,
    • A, C, D, E, F, G, H and I, or
    • B, C, D, E, F, G, H and I.


In another further preferred embodiment of the invention, all nine of the above mentioned preferred polypeptides A, B, C, D, E, F, G, H and I are used as diabetes “negative”, as diabetes “positive”, as nephropathy “negative” or as nephropathy “positive” polypeptides. In particular, these are the combinations of the polypeptides:

    • A, B, C, D, E, F, G, H and I.

Claims
  • 1-12. (canceled)
  • 13. A device for the quantitative evaluation of polypeptides contained in a sample of a body fluid and comparison with reference values stored in a data base, wherein said reference values are stored as data records of polypeptides relevant to a condition, said data records comprising at least information about the probability of the occurrence and/or the concentration of polypeptides for a pathological condition in samples of healthy and diseased subjects.
  • 14. The device according to claim 13, wherein the polypeptides are defined by stating their related mass and their related retention time in capillary electrophoresis as can be established by capillary electrophoresis coupled to a mass spectrometer.
  • 15. The device according to claim 14, wherein the data base for the diagnosis “diabetes” includes at least one, a subset or all data records of the polypeptides according to the following Table:
  • 16. The device according to claim 14, wherein the data base for the diagnosis “kidney damage” includes at least one, a subset, or all data records of the polypeptides according to the following Table:
  • 17. A process for the quantitative evaluation of polypeptides contained in a sample of a body fluid, wherein reference values stored in a data base are data records of polypeptides relevant to a condition, said data records comprising at least information about the probability of the occurrence and/or the concentration of the polypeptides for a pathological condition in samples of healthy and diseased subjects and comparing the occurrence and/or the concentration of the polypeptides in the sample of the body fluid with at least one reference value.
  • 18. The process according to claim 17, wherein the polypeptides are defined by stating their related mass and their related retention time in capillary electrophoresis as can be established in capillary electrophoresis coupled to a mass spectrometer.
  • 19. The process according to claim 18, wherein for the diagnosis “diabetes” at least one, a subset, or all data records of the polypeptides according to the following Table are used for comparison:
  • 20. The process according to claim 18, wherein for the diagnosis “kidney damage” at least one, a subset, or all data records of the polypeptides according to the following Table are used for comparison:
  • 21. A marker database for recognizing at least one pathological condition, the marker database comprising data records of a plurality of polypeptides linked with information about probabilities of occurrence and/or concentration of polypeptides for a pathological condition in samples of healthy and diseased subjects.
  • 22. The marker database according to claim 21, wherein the polypeptides are defined by stating their related mass and their related retention time in capillary electrophoresis as can be established in capillary electrophoresis coupled to a mass spectrometer.
  • 23. The marker database according to claim 22, wherein the data base for the diagnosis “diabetes” includes at least one, a subset, or all data records of the polypeptides according to the following Table:
  • 24. The marker database according to claim 22, wherein the data base for the diagnosis “kidney damage” includes at least one, a subset, or all data records of the polypeptides according to the following Table:
  • 25. At least one marker selected from the following table:
  • 26. At least one marker selected from the following table:
Priority Claims (1)
Number Date Country Kind
103 41 193.3 Sep 2003 DE national
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/EP04/09833 9/3/2004 WO 11/14/2006