Classifications

• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
  • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
  • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
  • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
  • G01N33/6803—General methods of protein analysis not limited to specific proteins or families of proteins
  • G01N33/6848—Methods of protein analysis involving mass spectrometry
• • G—PHYSICS
  • G01—MEASURING; TESTING
  • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
  • G01N2550/00—Electrophoretic profiling, e.g. for proteome analysis
• • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
  • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
  • Y10T—TECHNICAL SUBJECTS COVERED BY FORMER US CLASSIFICATION
  • Y10T436/00—Chemistry: analytical and immunological testing
  • Y10T436/24—Nuclear magnetic resonance, electron spin resonance or other spin effects or mass spectrometry

Definitions

• the invention relates to devices and methods for the quantitative evaluation of the polypeptides contained in a body fluid sample and comparison with reference values stored in a database, as well as markers for the detection of pathological conditions.
• DE 100 21 737 C2 discloses a method and a device for the qualitative and / or quantitative determination of a protein and / or polypeptide pattern of a liquid sample. Proteins and / or polypeptides of a liquid sample are separated by capillary electrophoresis, then directly ionized and transferred online via an interface to a mass spectrometer coupled to them for detection.
• Diabetes is often a precursor to diabetic nephropathy, which can develop over years and decades.
• the nephropathy in diabetes goes through several Stadiums.
• An early diagnosis of diabetic nephropathy is difficult with the currently available means, only with great effort and only at a relatively late point in time.
• Timely diagnosis and consistent treatment of manifest nephropathy would not only prevent or delay the need for dialysis, but would also reduce the high cardiovascular risk of the patient with diabetes.
• polypeptide patterns of a liquid sample e.g. Urine
• a liquid sample e.g. Urine
• Further studies show that the diagnosis of diseases other than the aforementioned diabetes and diabetic nephropathy is also possible via polypeptide patterns.
• the invention is based on the object of specifying, in a device and a method for the quantitative evaluation of the polypeptides contained in a body fluid sample and comparison with reference values stored in a database, a definition of the polypeptides suitable for computer-controlled storage and evaluation.
• This task is performed in a device for the quantitative evaluation of the polypeptides contained in a body fluid sample and comparison with reference values stored in a database, characterized in that the reference values are stored as data records of state-relevant polypeptides, each of which contains at least one indication of the probability of occurrence and / or the concentration of the polypeptides for a pathological condition in samples from healthy and sick test subjects, and in a method for the quantitative evaluation of the polypeptides contained in a body fluid sample and comparison with reference values stored in a database, characterized in that the reference values as data sets of condition-relevant polypeptides can be used for the comparison by giving an indication of the probability of the occurrence and / or concentration of the polypeptides in the body fluid sample with the Specification of at least one reference value about the probability of the occurrence and / or the concentration of the polypeptides for a pathological condition in samples from healthy and sick test subjects is compared.
• the invention is also based on the object of specifying a marker for recognizing pathological conditions via a definition of the polypeptides contained which is suitable for storage and evaluation.
• This task is identified in a marker for the detection of pathological conditions, characterized by a plurality of condition-relevant polypeptides, each of which is linked to an indication of the probability of the occurrence and / or the concentration of the polypeptide for a pathological condition in samples from healthy and sick test subjects , solved.
• polypeptides are evaluated, the concentration of which changes significantly in the body fluid in a pathological state compared to a normal state.
• concentration of which changes significantly in the body fluid in a pathological state compared to a normal state can be determined in preliminary studies with a large number of subjects.
• Each polypeptide is linked to information which, for a pathological condition, includes information about the probability of occurrence or concentration in a healthy and in a sick subject.
• polypeptides can be defined by specifying their associated mass and their associated capillary electrophoresis retention time.
• the capillary electrophoresis retention time can be determined, for example, by capillary electrophoresis using a 90 cm long glass capillary with an inner diameter (ID) of 75 ⁇ m and an outer diameter (OD) of 360 ⁇ m at a voltage of 30 kV, using as solvent for the sample 30% methanol, 0.5% formic acid in water is used.
• ID inner diameter
• OD outer diameter
• condition-relevant polypeptides were summarized in a database, which were determined and verified on the basis of urine samples from a large number of test subjects. Individual polypeptides, a combination of polypeptides or all polypeptides can be compared here.
• polypeptides serving as markers can potentially also be therapeutic targets. This makes it possible to develop therapeutics that have these polypeptides either as a basis or as a target structure.
• the occurrence and / or the concentration of the polypeptides are changed in each case by supplementation and / or antibodies in the body in such a way that their concentration in the examined body fluid again assumes normal values.
• Fig. 2 graphical representations of polypeptide patterns and their relationship.
• the presence and the concentration of a large number of polypeptides in the urine are analyzed. This is currently done by means of capillary electrophoresis coupled to a mass spectrometer (CE-MS), but can also be done with other methods.
• CE-MS mass spectrometer
• Fig. Lb shows the image of the "Raw data", from which relevant signals, referred to in FIG. 1c as “recognized signals”, are first filtered out using a filter and evaluation software, and then a polypeptide pattern, referred to in FIG. 1d as "polypeptide pattern", is calculated the polypeptides are annotated / identified by their mass and retention time in the CE and their concentration is calculated from the amplitude of the signal.
• the data forming the polypeptide pattern are stored in a database.
• the information required for unambiguous identification is stored in a separate data record for each relevant polypeptide.
• Fig. Le symbolically shows a screen representation of several data records.
• a typical polypeptide pattern of healthy kidneys was created from the database comparison of over 50 measurements. The same technology was used to measure urine samples from over 200 Type I and Type II diabetes patients. These patients represent groups of different stages of kidney disease, from completely normal to values of over 3 g protein / day in the urine.
• a group-specific polypeptide pattern is developed from the collected polypeptide patterns of an investigation group.
• the polypeptide patterns obtained in this way show typical deviations from the normal samples, ie changes in individual polypeptides.
• graphical representations of the group-specific polypeptide patterns according to the table in FIG. 2 are shown.
• polypeptide patterns of the group K0, PO, Pl, P2 are shown in Fig. 2a, 2b, 2c, 2d.
• a synthetic overall picture is assembled from the polypeptide patterns of groups K0, PO, Pl, P2 and this is used as a marker profile to create a polypeptide pattern according to FIG. 2e.
• the changes in the polypeptide pattern are partly due to the underlying disease diabetes and can therefore be found evenly in all diabetics, partly due to or also the cause of the beginning / progressing nephropathy. These polypeptides can thus be used as markers for the diagnosis of diabetes or diabetic nephropathy.
• polypeptides present there are then searched for in the examined patient samples, after which their presence or absence is used for the diagnosis, as shown in FIG. 2f.
• the following table summarizes the particularly relevant marker polypeptides found in the context of the detection of diabetic nephropathy.
• the polypeptides mentioned here serve to identify the disease at an early stage and can be used individually, in part or in full combination.
• the list contains 380 polypeptides, defined by their mass and their retention time in capillary electrophoresis. Sequence numbers 1 to 157 form the marker peptides used for the diagnosis "diabetes”. Sequence numbers 158 to 380 contain the marker peptides used for the diagnosis "kidney damage”. Within these two groups, the polypeptides are initially sorted according to whether they are a “Positive”, ie polypeptide that occurs more frequently in the event of illness, or a “negative”. The polypeptides are then sorted in ascending order according to their mass.
• the device according to the invention or the method according to the invention is additionally characterized in that the polypeptides are defined by stating their associated mass and their associated capillary electrophoresis retention time, as can be determined in the case of capillary electrophoresis coupled to a mass spectrometer.
• the database for the diagnosis "diabetes" comprises at least one, a sub-combination or all data records of the polypeptides No. 1 to No. 157 of the table above.
• the database for the diagnosis "kidney damage" at least one, a sub-combination or all data sets of polypeptides No. 158 to 380 of the table above.
• the marker according to the invention is additionally characterized in that the polypeptides are defined by stating their associated mass and their associated capillary electrophoresis retention time, as can be determined in the case of capillary electrophoresis coupled to a mass spectrometer.
• the marker is characterized in that for the diagnosis “diabetes” at least one polypeptide, a sub-combination of the polypeptides or all polypeptides from No. 1 to 157 of the table above or for the diagnosis “kidney damage” at least one polypeptide, a sub-combination of the polypeptides or all polypeptides Nos. 158 to 380 of the table above are included.
• particularly preferred polypeptide combinations can be used for the device, the method or the marker.
• Polypeptides No. 32 (A), 1 (B), 48 (C), 2 (D), 44 (E), 22 (F), 9 (G), 23 (H) are "positive” polypeptides as diabetes. and 20 (I) and their combinations, in particular as indicated below, are preferred.
• Polypeptides No. 123 (A), 153 (B), 155 (C), 105 (D), 150 (E), 121 (F), 157 (G), 92 (H) are "negative” polypeptides as diabetes. and 69 (I) and their combinations, in particular as indicated below, are preferred.
• Polypeptides No. 225 (A), 208 (B), 164 (C), 166 (D), 171 (E), 204 (F), 206 (G), 182 (H) are “positive” polypeptides as nephropathy. and 210 (I) and their combinations, in particular as indicated below, are preferred.
• Polypeptides No. 262 (A), 260 (B), 306 (C), 358 (D), 279 (E), 318 (F), 305 (G), 261 (H) are "nephropathy” negative and 278 (I) and combinations, particularly as indicated below, are preferred.
• two of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are identified as “negative” as diabetes, “positive” as diabetes, and “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• 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 l.
• three of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are "negative” as diabetes, "positive” as diabetes, “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• these are the combinations of the polypeptides:
• four of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are "negative” as diabetes, "positive” as diabetes, “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• five of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are "negative” as diabetes, "positive” as diabetes, “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• these are the combinations of the polypeptides:
• six of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are "negative” as diabetes, "positive” as diabetes, “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• these are the combinations of the polypeptides:
• seven of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are "negative” as diabetes, "positive” as diabetes, “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• these are the combinations of the polypeptides:
• eight of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are "negative” as diabetes, "positive” as diabetes, “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• these are the combinations of the polypeptides:
• all nine of the preferred polypeptides A, B, C, D, E, F, G, H and I mentioned above are "negative” as diabetes, "positive” as diabetes, “negative” as nephropathy or "positive” polypeptides used as nephropathy.
• these are the combinations of the polypeptides:

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• 2003
  • 2003-09-06 DE DE10341193A patent/DE10341193A1/de not_active Ceased
• 2004
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  • 2004-09-03 CN CN200480025529.3A patent/CN1846133A/zh active Pending
  • 2004-09-03 WO PCT/EP2004/009833 patent/WO2005024409A1/de active Application Filing
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