TECHNICAL FIELD
[0001] The invention relates generally to the diagnosis and prognosis of the metabolic disease
diabetes type II.
BACKGROUND ART
[0002] Current methods for assessing risk for or diagnosing diseases often rely on a diagnosis
by attrition, a process of elimination or by invasive surgery or biopsies. Even after
a definitive diagnosis is obtained, the prognosis is generally based on subjective
factors.
[0003] In certain diseases, such as metabolic disease, the methods by which an objective
diagnosis may be made are often cumbersome, time-consuming and costly. For example,
the primary method for diagnosing type 2 diabetes is the fasting plasma glucose test,
which assesses blood sugar levels in plasma. This test requires the patient to fast
for 8-14 hours, and often requires multiple blood draws over a period of hours to
days. In addition, although the fasting plasma glucose test is useful in diagnosing
the presence of type 2 diabetes, the test is very limited in its ability to provide
a disease prognosis.
[0004] In medicine, there is a constant search for less invasive, less physically taxing,
and more accurate ways to diagnose and treat diseases or conditions. As a greater
understanding of biological processes, and the biochemistry associated with these
processes, unfolds, certain theories have evolved about which compositions might be
identified as markers or indicators for certain diseases or conditions. Proteases
and peptidases, as a class, have been investigated for their utility in diagnosis
and as targets for treating patients.
[0005] By way of general background, proteases/ petpidases are typically classified by a
number of criteria, such as site of action, substrate preference, and mechanism. For
example, aminopeptidases act preferentially at the N-terminal residues of a polypeptide,
carboxypeptidases act preferentially at the C-terminus, and endopeptidases act at
sites between these two termini.
[0006] Dipeptidyl peptidases (DPPs) are peptidases that specifically cleave a dipeptide
unit, i.e., a two amino acid unit, from their specific substrates. There are a number
of different DPPs, and substrate preference is frequently expressed in terms of the
amino acid residue immediately N-terminal to the cleavage site. For example, DPP-I
(IUBMB Enzyme Nomenclature EC.3.4.14.1) is a lysosomal cysteine-type peptidase that
releases an N-terminal dipeptide, Xaa-Yaa-|-zaa- except when Xaa is Arg or Lys, or
Yaa or Zaa is Pro. DPP-II (IUBMB Enzyme Nomenclature EC.3.4.14.2) is a lysosomal serine-type
peptidase that releases an N-terminal dipeptide, Xaa-Yaa-|-, preferentially when Yaa
is Ala or Pro. DPP-III (IUBMB Enzyme Nomenclature EC.3.4.14.4) is a cytosolic peptidase
that has a broad activity on peptides, although it is highly selective for Arg-Arg-Z,
where Z is any amino acid, at pH 9.2. DPP-IV (IUBMB Enzyme Nomenclature EC.3.4.14.4)
is a membrane-bound serine-type peptidase that releases an N-terminal dipeptide from
Xaa-Yaa-|-zaa-, preferentially when Yaa is Pro, provided Zaa is neither Pro nor hydroxyproline.
[0007] DPPs are involved in a wide range of physiologically important activities, and have
been associated with regulation of the neurological system, endocrine system, immune
system and digestive system. DPP activity has been demonstrated in numerous intracellular
and extracellular functions such as protein degradation and enzyme activation.
[0008] With regard to the specific DPPs mentioned previously, DPP-IV has been widely studied,
along with its attendant isoforms and isozymes or structural homologs, and those proteins
that exhibit DPP-IV-like activity. Proteins which exhibit DPP-IV-like activity have
been termed dipeptidyl peptidase IV activity and/or structure homologs, or "DASH".
DPP-IV is a type II membrane protein that is referred to by a number of names, including,
but not limited to, DPP4, DP4, DAP-IV, FAP β adenosine deaminase complexing protein
2, adenosine deaminase binding protein (ADAbp), dipeptidyl aminopeptidase IV; Xaa-Pro-dipeptidyl-aminopeptidase;
Gly-Pro naphthylamidase; postproline dipeptidyl aminopeptidase IV; lymphocyte antigen
CD26; glycoprotein GP110; dipeptidyl peptidase IV; glycylproline aminopeptidase; glycylproline
aminopeptidase; X-prolyl dipeptidyl aminopeptidase; pep X; leukocyte antigen CD26;
glycylprolyl dipeptidylaminopeptidase; dipeptidyl-peptide hydrolase; glycylprolyl
aminopeptidase; dipeptidyl-aminopeptidase IV; DPP IV/CD26; amino acyl-prolyl dipeptidyl
aminopeptidase; T cell triggering molecule Tp103 ; X-PDAP. (
Burgess et al., U.S. Pat. No. 7,169,926).
[0009] A number of DASH proteins have been reported, such as seprase, fibroblast activation
protein α, DPP6, DPP8, DPP9, attractin,
N-acetylated-α-linked-acidic dipeptidases I, II, and L, quiescent cell proline dipeptidase,
thymus-specific serine protease and DPP IV-β (
Busek et al., Int. J. Biochem. Cell Biol. 36:408-421 (2004)).
[0010] DPP-IV is constitutively expressed on epithelial and endothelial cells of a variety
of different tissues, including intestine, liver, lung, kidney and placenta (
Hartel et al., Histochemistry 89(2):151-161 (1988);
Yaron and Naider, Critical Rev. Biochem. Mol. Biol. 28(1):31-81 (1993)). DPP-IV is expressed on circulating T-lymphocytes and has been shown to be synonymous
with the cell-surface antigen, CD-26 (
Sedo et al., Arthritis Res. Ther. 7:253-269 (2005)). In addition to a membrane-bound form, DPP-IV also exists in a solubile form, and
DPP-IV activity can be found in body fluids such as blood plasma and synovial fluid
(
Sedo et al., Arthritis Res. Ther. 7:253-269 (2005);
Gorrell, Clinical Sci. 108:277-292 (2005)).
[0015] DPP-IV is also believed to play a role in endocrine regulation and metabolic physiology.
For example, DPP-IV cleaves the amino-terminal His-Ala dipeptide of glucagon like
peptide-1 (GLP-1), generating a GLP-1 receptor antagonist, and thereby shortens the
physiological response to GLP-1. DPP-IV has been implicated in the control of glucose
metabolism because its substrates include the insulinotropic hormones GLP-1 and gastric
inhibitory peptide (GIP), which are inactivated by removal of their two N-terminal
amino acids. (
Mannucci et al., Diabetologia 48:1168-1172 (2005)).
[0016] In addition to normal physiological function, DPPs have been studied for their role
in disease states, including cancer, autoimmune disease, cardiovascular disease, metabolic
disease and infectious disease.
[0018] High levels of DPP-IV expression have been found in human skin fibroblast cells from
patients with the autoimmune diseases psoriasis, rheumatoid arthritis (RA) and lichen
planus (
Raynaud et al., J. Cell. Physiol. 151:378 (1992)).
[0019] DPP-IV has been associated with a number of metabolic diseases such as obesity and
appetite regulation. For example, one of the more extensively studied DPP-IV-associated
metabolic diseases is type 2 diabetes. Mannucci et
al., defines and describes the relationships between chronic hyperglycemia and DDP-IV
in diabetes. This research concludes that circulating DPP-IV activity directly correlates
with the degree of hyperglycemia in type II diabetes.
[0020] Other studies discuss the relationship between DPP-IV and various hormones involved
in the hormone cascade that regulates blood sugar levels. These studies conclude that
DPP-IV degrades a hormone that is important for insulin secretion. Specifically, it
has been suggested that DPP-IV degrades glucagon-like 1 peptide (GLP-1) which results
in a decrease in insulin secretion and thus an increase in blood sugar. Based on this
phenomenon, inhibitors of DPP-IV are being developed for the treatment of type II
diabetes (
Green et al., Diab. Vasc. Dis. Res. 3(3):159-165 (2006)).
[0021] DPP-IV is apparently essential for the penetration and infectivity of HIV-1 and HIV-2
viruses in CD4
+ T-cells (
Wakselman et al., J. Dermatol. Sci. 22:152-160 (2000)). Therefore, there is some suggestion that suppression of DPP-IV might suppress
this mechanism as well.
[0022] Recently, some avenues of DPP research have focused on the manipulation of DPP levels
as a means for developing treatments and therapies for the DPP-associated disease
states and conditions. However, few treatments and therapies have resulted from this
work to date.
SUMMARY OF THE INVENTION
[0023] The development of therapies and diagnostic tools that are based on DPP and its role
in biological processes are still sought. An embodiment of the invention described
herein is directed to a method for diagnosis or prognosis of the metabolic disease
diabetes type II, comprising:
measuring at least one parameter of one or more discriminated partially or completely
separated or isolated portions of more than one dipeptidyl peptidase (DPP) IV (DPPIV)
isoform from a patient sample, wherein the at least one parameter is the amount, concentration,
activity, expression, or type or amount of post-translational modification of the
more than one DPPIV isoform; and
correlating said measured DPP parameter of the more than one DPPIV isoform with the
presence, absence or severity of said disease state or condition.
[0024] Thus the invention is directed to a method for the diagnosis or prognosis of type
II diabetes. Specifically, at least one parameter of one or more discriminated portions
of DPPIV isoforms from a patient sample is measured and the measurement is correlated
with the presence, absence or severity of type II diabetes.
BRIEF DESCRIPTION OF THE DRAWINGS
[0025]
Fig. 1 depicts the workflow of a free-flow electrophoresis separation of isoforms.
Figs. 2A and B are graphs showing the results of an activity test of porcine DPP-IV
after native IEF-FFE. Fig 2B shows the specific activity (U/ng enzyme) of discriminated
porcine DPP-IV isoforms.
Fig. 3 is a silver-stained IEF acrylamide gel of fractions 27 to 47 from a native
FFE (pH 3-10) separation of porcine DPP-IV.
Figs. 4A and B show the peptide mass fingerprint analysis of trypsinized protein bands
excised from IEF gel for the most acidic (4A) and slightly more basic (4B) isoforms.
Analysis of PMF identifies all isoforms as DPP-IV.
Figs. 5A and B show the confirmation of selected DPP-IV peaks with MALDI TOF/TOF.
Figs. 6A and B show the DPP-IV activity of FFE discriminated DPP-IV isoforms from
human plasma in two healthy subjects.
Fig. 7 shows the DPP-IV activity profile of FFE discriminated isoforms from a normal
human subject.
Fig. 8 shows the DPP-IV activity profile of FFE discriminated isoforms from a diabetic
human subject with a glucose level of 538 mg/dL.
Fig. 9 shows an example of the DPP-IV profile shift resulting from desialylation of
FFE discriminated isoforms from a healthy human patient. Activity is represented in
RFU/min. The dark bars represent the treated sample; the lined bars represent the
untreated sample.
Fig. 10 shows the comparison of DPP-IV activity between pI discriminated DPP-IV isoforms
in plasma from a healthy (light bars) and a diabetic (dark bars) patient, as well
as disialylated isoforms from a diabetic patient (dark line). The dotted line represents
the pH at which each portion was discriminated.
Fig. 11 is a breakout plot of the pH vs. DPP-IV activity of pI discriminated DPP-isoforms
from healthy and diabetic patients. S04, S11, S07, and S02 are healthy; the rest are
diabetic.
Fig. 12 is a plot of the pH at which the pI discriminated DPP-IV isoforms from each
subject reaches a 90% DPP-IV activity. S04, S11, S07, and S02 are healthy; the rest
are diabetic.
Fig. 13 is a plot of the pH at which the pI discriminated DPP-IV isoforms from each
subject reaches a 60% DPP-IV activity. S04, S11, S07, and S02 are healthy; the rest
are diabetic.
Fig. 14 is a graph depicting the various ways in which measured parameters of discriminated
DPP isoforms can be correlated with disease.
BEST MODE FOR CARRYING OUT INVENTION
[0026] The methods described herein provide for the risk assessment, diagnosis or prognosis
of a dipeptidyl peptidase (DPP)-associated disease state or condition characterized
by a particular metabolic disease. In particular, the described methods relate to
a method of risk assessment, diagnosis or prognosis of a disease state or condition
associated with a particular DPP parameter. According to embodiments of the described
method, a parameter of a discriminated DPP portion is measured. The measurement is
then correlated with the presence, absence or severity of said disease state or condition.
[0027] For the purposes of this application, the terms "protease" and "peptidase" are used
interchangeably, and refer to enzymes that catalyze the hydrolysis of peptidic amide
bonds. Dipeptidyl peptidases (DPPs) are proteases which cleave a dipeptide unit from
a polypeptide.
[0028] As used herein, the term "discriminated portions of a specific DPP" refers to a specific
DPP (e.g. one or more isoforms from a specific DPP family, e.g. DPP-I, DPP-II, DPP-III,
DPP-IV, etc.) from a patient sample that have been distinguished, separated or isolated
from each other in some manner.
[0029] In one embodiment, the specific DPP is subjected to some condition that will distinguish
at least one isoform of the specific DPP from at least one other isoform of the DPP.
Each discriminated portion may contain one or more DPP isoforms of the specific DPP,
and some portions may contain no DPP isoforms. In another embodiment, DPP (which may
include DPP of one family or more than one family) is subjected to some condition
that will distinguish at least one isoform of the DPP from at least one other isoform
of the DPP.
[0030] Specifically, the individual DPP isoforms may be completely or only partially discriminated
into portions and from each other. Thus, one discriminated portion may contain one
or more isoforms, or each discriminated portion may only contain one isoform. Likewise,
one discriminated portion may contain one isoform, while other discrimintated portions
contain more than one isoform. Additionally, some discriminated portions may contain
no DPP isoforms as long as one or more other portions contain one or more DPP isoforms.
[0031] The specific DPP may be a member of any specific DPP or DASH family, including DPP-I,
DPP-II, DPP-III or DPP-IV. In exemplary embodiments, the DPP is DPP-IV. DPP that is
not designated as specific includes both non-specific and specific DPP.
[0032] As used herein, the term "isoform" of a DPP refers to any of multiple forms of one
or more DPP enzymes which differ in some physical way, but which all have a common
characteristic catalytic activity, homologous primary structure / amino acid sequence
or are derived from the same genetic loci. The catalytic activity of DPP isoforms
need not be identical in degree or rate of catalysis, only in a common substrate profile.
Likewise, the primary structure of the isoforms need not be identical, but may be
the result of minor additions, deletions, or mutations in the amino acid sequence
of the enzyme.
[0033] Isoforms may have similar or the same primary structure and may have the same catalytic
activity or differing catalytic activity(ies). The primary structure of the isoforms
may significantly differ while retaining the same catalytic activity. Isoforms may
have the same or different secondary structure, tertiary structure, and/or quarternary
structure, but still be isoforms of one another as long as they retain the same or
similar primary structure and/or enzymatic activity and/or are derived from the same
genetic loci.
[0034] Isoforms may be derived from the same genetic locus, or from different genetic loci.
They may be the result of different alleles; multiple genetic loci; alternative splicing
of messenger RNA produced from the same gene; or the result of post-translational
modification, such as addition of polysaccharide, phosphate, sulfhydryl, sialic acid,
or other groups.
[0035] "Isoforms", when used herein, also include isozymes. As used herein, the term "isozyme"
(alternatively, isoenzyme) is a type of isoform which refers to any of the multiple
forms of an enzyme arising from a genetically determined difference in primary structure
/ amino acid sequence.
[0037] For example, any enzyme which cleaves post-proline dipeptide bonds is a DPP-IV isoform.
One skilled in the art is readily aware of the many isoforms of DPP. Not all isofroms
are identified herein. By way of illustration, and not limitation, DPP-IV isoforms
include, but are not limited to DPP-IV; the various sialated forms of DPP-IV; membrane-bound
DPP-IV; soluble DPP-IV; and any of the dipeptidyl peptidase IV activity and/or structure
homologs (DASH), such as seprase, fibroblast activation protein α, DPP6, DPP8, DPP9,
attractin, N-acetylated-α-linked-acidic dipeptidases I, II, and L, quiescent cell
proline dipeptidase, thymus-specific serine protease and DPP IV-β.
[0038] DPP parameters which may be measured include amount, concentration, activity, expression,
or amount or type of post-translational modification.
[0039] "Amount" of DPP includes the presence, absence or quantity of DPP. "Activity" of
DPP includes the presence, absence, quantity, degree, or rate of enzymatic activity,
including the specific activity. "Expression" of DPP includes the presence, absence,
rate or quantity of DPP expression. "Concentration" of DPP is the amount of DPP isoform
per unit volume present in a portion.
[0040] The DPP parameter may be measured directly or indirectly and may be qualitative or
quantitative.
[0041] DPP activity may be measured using any assay which can quantitatively or qualitatively
measure DPP activity. Assays suitable for measuring the activity of DPP include assays
which detect the presence or amount of a hydrolysis product of DPP activity on a detectably
labeled substrate. The label may be directly or indirectly detectable, and may be
fluorogenic, chemiluminescent, colorimetric, or radioactive. Fluorogenic labels include
7-amino-4-methylcoumarin (AMC) and 7-amino-4-trifluoromethylcoumarin (AFC).
[0042] As will be understood by those of skill in the art, the mode of detection of the
signal will depend on the exact detection system utilized in the assay. The detection
system may detect mass changes, changes in amino acid sequence or peptide length,
chromogenic changes, or flurogenic changes. The detection method may employ secondary
detection schemes including secondary enzymatic reactions that result in the detectable
change, among a wide variety of detection schemes described in the art.
[0043] For example, if a radiolabeled detection reagent is utilized, the signal will be
measured using a technology capable of quantitating the signal from the biological
sample or of comparing the signal from the biological sample with the signal from
a reference sample, such as scintillation counting, autoradiography (typically combined
with scanning densitometry), and the like. If a chemiluminescent detection system
is used, then the signal will typically be detected using a luminometer. If a fluorescent
detecting system is used, fluorescence can be measured using a spectrofluourometer.
Methods for detecting signal from detection systems are well known in the art.
[0044] In some embodiments, DPP activity is measured via an assay which detects presence
or amount of a hydrolysis product of DPP activity on a detectably labeled substrate.
DPP-IV activity may be measured using an assay that detects hydrolysis of any detectably
labeled substrate which would be catalyzed by DPP-IV, i.e., X-Y-R, wherein X is any
amino acid; Y is Pro (Proline), Ala (Alanine) or Arg (Arginine); and R is any directly
or indirectly detectable label.
[0045] DPP amount may be measured using any assay which can quantitatively or qualitatively
measure the amount of one or more DPP isoforms. Assays suitable for measuring the
amount of DPP include, but are not limited to, western blot analysis, protein spectrophotometry,
radioimmunoassay, competitive-binding assays, and ELISA assays. In this regard, antibodies
which are specific for one or more DPP isoforms are particularly useful.
[0046] DPP concentration may be measured using any assay which can quantitatively or qualitatively
measure the concentration of one or more DPP isoforms. Assays suitable for measuring
the concentration of DPP include western blot analysis, protein spectrophotometry,
radioimmunoassay, competitive-binding assays, and ELISA assays. In this regard, antibodies
which are specific for one or more DPP isoforms are particularly useful.
[0047] DPP expression may be measured using any assay which can quantitatively or qualitatively
measure the expression of one or more DPP isoforms. Assays suitable for measuring
the expression of DPP generally detect DPP mRNA or protein, and include northern blot
analysis and western blot analysis or variations thereof (e.g. Far Western Analyis,
microarray chips).
[0048] Type or degree of post translational modification may be measured using any assay
which can quantitatively or qualitatively measure the modification of one or more
DPP isoforms. Assays suitable for measuring the type or degree of post translational
modification include lectin binding, western blot analysis, protein spectrophotometry,
radioimmunoassay, competitive-binding assays, and ELISA assays.
[0049] One or more than one parameters may be measured. For example, a single parameter
(e.g., amount, concentration, activity, expression, amount or type of post translational
modification) may be measured. Alternatively, two or more parameters may be measured,
for example both amount and concentration, amount and activity, amount and expression,
concentration and activity, concentration and expression, or activity and expression
may be measured. Likewise, amount, activity and expression; amount, concentration
and expression; or concentration, activity and expression may be measured.
[0050] If two or more measurements are taken, they may be taken concurrently or consecutively.
For example, amount may be measured at the same time as activity. Alternatively, amount
may be measured before or after activity. If three or more measurements are taken,
they may also be taken consecutively or concurrently. For example, amount may be measured
before post-translational modification type and activity, where post-translational
modification type and activity are measured concurrently, or amount, post-translational
modification type and activity are each measured concurrently or consecutively with
respect to each other. Likewise, if more measurements are taken, they may be taken
concurrently or consecutively with respect to each other, or grouped in each possible
way, such that each group is taken concurrently or consecutively with respect to every
other group. In other words, each of the measurements may be grouped in a factorial
or distributive manner, and each group can be measured, with respect to all the other
groups, either consecutively or concurrently.
[0051] In addition to multiple measurements, any given measurement, whether of one or more
parameters, may be taken more than once, i.e., repeated, for any given patient sample.
[0052] Additionally, any combination of measurements may be taken with respect to the portions.
For example, a single parameter may be measured for one, some or all of the portions.
Likewise, more than one parameter may be measured for one, some or all of the portions.
A single parameter may be measured for one or some portions, while another parameter
is measured for other or all portions. For example, the amount may be measured for
only one portion, while the activity of all portions may be measured. Likewise, the
activity of only one portion may be measured, while the amount of all portions may
be measured.
[0053] When measuring one or more DPP parameters, the patient sample may be divided into
a number of aliquots, with separate aliquots used to measure different DPP parameters
or perform replicate measurements. Additionally or alternatively, each of the discriminated
DPP portions may be divided into a number of aliquots for measurement of different
DPP parameters or replicate measurements. Replicate measurements are not necessary
to the methods of the invention, but many embodiments of the invention will utilize
replicate testing, particularly duplicate and triplicate testing.
[0054] Alternately, the patient sample or an aliquot therefrom may be tested to determine
the levels of multiple DPP parameters in a single reaction using an assay capable
of measuring the individual levels of different DPP parameters in a single assay,
such as an array-type assay or assay utilizing multiplexed detection technology (
e.g., an assay utilizing detection reagents labeled with different fluorescent dye markers).
[0055] As used herein, the "metabolic disease diabetes type II" is characterized by a difference
in one or more particular measurable DPP parameters (it is not necessarily caused
by a change in DPP, but can be diagnosed or monitored by measuring one or more DPP
parameters).
[0056] As used herein, the term "patient" refers to any living organism, in nedd of a diagnosis,
prognosis, disease progression monitoring, or risk assessment or a diabetes type II
disease state or condition, and wherein the patient possesses the physiology associated
with DPP expression. Such patients include, but are not limited to humans, higher
primates, other mammals
(e.g., domesticated mammals such as cats, dogs and horses, rodents such as rats and mice,
and wild animals such as lions, tigers and bears), avians (e.g., chickens, parakeets)
and other animals.
[0057] As used herein, the term "patient sample" or "biological sample" refers to any sample
taken from or coming from a patient that might be expected to contain the target enzyme,
and includes both cellular and acellular samples. Patient samples include, but are
not limited to tissues, such as muscle, liver, lung, spleen, adipose, mammary and
tumor tissue; blood and blood products, such as whole blood, plasma, serum and blood
cells; and other biological fluids, such as urine, saliva, tears, mucus, amniotic
fluid, cerebrospinal fluid, synovial joint fluid and seminal fluid. Patient samples
may also contain a combination of fluids and/or tissues.
[0058] Samples may be procured from a patient by any clinically acceptable method such as
venipuncture, spinal tap, amniocentesis and tissue biopsy.
[0059] Although samples may be used directly as obtained from the patient, one aspect of
the invention contemplates the processing of samples prior to discriminating the DPP
into portions (
e.g., discriminating DPP isoforms into portions) or measuring the DPP parameter. Processing
includes, but is not limited to, homogenizing, diluting, concentrating, sonicating,
freezing, mixing with a preservative or other agent, or combinations thereof.
[0060] Additionally, samples which contain cells or other tissues wherein the DPP might
be expected to be membrane- bound may be processed so as to release the DPP from the
cell membrane, thus allowing it to be utilized in any of the art recognized methods
for separating/isolating proteins/enzymes from a sample. Methods of releasing membrane-bound
proteins are well-known in the art and include freeze/thawing, homogenization, sonication,
and chemical or enzymatic release of the active enzyme from the membrane.
[0061] In some examples, the patient sample is collected in a container comprising EDTA,
protease inhibitors, or some other component suitable for transport, preservation,
and treating of a biological sample.
[0062] When the patient sample constitutes a fluid, processing may include the form of elimination
of nucleated and/or non-nucleated cells, such as erythrocytes, leukocytes, and platelets
in blood samples (for example, in order to obtain plasma), or may also include the
elimination of certain proteins, such as certain clotting cascade proteins from blood
(for example, in order to obtain serum). For example, blood may be collected in a
container with heparin, citrate, or protease inhibitors or contacted with heparin,
citrate or protease inhibitors upon collection.
[0063] Additional processing may include concentrating or diluting a sample so as to, for
example, normalize the total protein content prior to discrimination or measurement.
Protocols for performing these activities are well known in the art.
[0064] After the correlation between measurement of DPP parameter with disease state or
condition is made, the result may be communicated to an operator. The result includes
the presence, absence or severity of a disease state or condition.
[0065] An "operator" can be a doctor, nurse, physician's assistant, medical technician,
laboratory technician, or anyone operating a machine or apparatus which performs one
or more steps of the invention, or anyone who may receive the diagnosis or prognosis
information, including the patient. For example, the diagnosis or prognosis information
may be automatically communicated to the patient or patient's representative via facsimile,
telephone, text messaging, or email.
[0066] Any means for conveying the result may be used, and include, but are not limited
to, displaying the disease state in a medium such as an electronic screen, a digital
screen, or a printable substrate; effecting an audible signal, such as a buzzer, a
bell, an electronically generated voice, or a recorded voice; via telephone, text
messaging, email or facsimile.
[0067] The DPP isoforms may be partially or completely discriminated into DPP portions prior
to or simultaneously with the measurement of any DPP parameters. For example, assuming
there are more than two types of DPP isoforms present in a sample, the isoforms may
be discriminated into only two portions, each one including more than one type of
isoform (i.e., partially discriminated); or the isoforms may be discriminated into
portions wherein each portion only contains one type of isoform (i.e., completely
discriminated). Likewise the isoforms may be partially discriminated into two or more
portions, one portion containing only one type of isoform, and other portions containing
more than one type of isoform.
[0068] The DPP portions may be discriminated by any means, including physical separation
or isolation or other methods of identifying or distinguishing isoforms from one another.
[0069] For example, discrimination can be based on difference in biochemical properties,
such as electropheric mobility or isoelectric point (pI); heat stability; molecular
weight; amino acid sequence, in the case of isoforms differing by primary structure;
antibody affinity or avidity; extent or type of post-translational modifications;
and kinetic properties, such as K
m or rate constant.
[0070] Antibodies or lectins specific for different DPP isoforms may be used to either physically
separate the DPP portions, or distinguish the portions without physical separation.
For example, antibodies specific for each different DPP isoform may carry a different
detectable label, requiring no physical separation to discriminate the portions. Alternatively,
the antibodies may be used on a support or column to physically separate different
DPP isoforms into portions.
[0071] Methods for separation include isoelectric focusing, which separates based on pI;
electrophoretic methods, either in a matrix such as a gel or filter, or gel-free,
which can distinguish based on electric charge and/or molecular weight; extent of
lectin binding or variety of lectins having affinity to the isoforms; antibody binding;
and affinity or size-discriminating chromatography methods.
[0072] As used herein, the term "isoelectric point" (pI) is the pH at which a molecule carries
no net electrical charge. The pI is also referred to as an isoelectric pH. Thus, for
the purposes of this application, the term "pI" and "isoelectric pH" are used interchangeably.
In an exemplary embodiment, the DPP portions are discriminated based on pI, and the
specific DPP is DPP-IV.
[0073] Methods of isoelectric focusing include free flow electrophoresis, isoelectric focusing
electrophoresis, or chromatofocusing or other solid-phase mediated separation facilitated
by flowing a buffer system changing in pH over time past the solid-phase.
[0074] In isoelectric-focusing electrophoresis, a sample of interest is injected or administered
directly into a gel slab, filter, or other medium containing an immobilized pH gradient
[0075] The pH gradient runs parallel to the direction of the electric field, and the protein(s)
in the sample are separated from each other by migrating, in one direction, through
the different pH environments before reaching a pH environment that is equivalent
to its pI.
[0076] Once a protein has reached its pI, it will be immobile within the matrix material.
At this point, a sample can be obtained from the matrix material and utilized in further
analyses such as, sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE)
(
Zuo et al., Analytical Biochem. 284:266-278 (2000)), a second dimension separation on a planar chip, (
Becker et al., J. Micromech. Microeng. 8:24 28 (1998)), an assay for detecting enzyme activity such as fluorometry, or an assay suitable
for measuring any of the DPP parameters.
[0077] Free-flow electrophoresis is an electrophoresis method that uses no solid matrix
such as the acrylamide gels in traditional electrophoresis, or the separation phases
used in chromatography. Instead, analytes are separated according to their charge
and/or electrophoretic mobility in a continuous laminar flow or buffer solution in
an electric field applied perpendicular to the flow direction.
[0078] An example of a machine which performs free flow electrophoresis is the BD™ Free
Flow Electrophoresis System (Becton Dickenson model #441117). Utilizing this system,
discriminated samples are collected in 96 capillaries at the end of a separation chamber,
which allows for the continuous fractionation to flow into a collection divide in
which the outflow remains physically separated into a plurality of fractions. This
method is suitable for separating samples via at least three separation principles:
Isoelectric focusing (IEF), Zone electrophoresis (ZE), and Isotachophoresis (ITP).
Once collected, the fractions can be further analyzed via any of the assays described
for use after isoelectric focusing, i.e., SDS-PAGE, second dimension separation on
a planar chip and enzyme activity assays.
[0079] The discrimination and measurement are not limited to any particular order. Discrimination
may take place prior to or after parameter measurement, or concurrently with measurement.
For example, the specific DPP may be physically separated into portions using a method
such as electrophoresis, and then one or more parameters of some or all of the portions
may be measured.
[0080] Alternatively, when measurement and discrimination are done concurrently, the specific
DPP may be discriminated into portions by, for example, contacting the patient sample
with antibodies specific for different DPP isoforms, each of the antibodies linked
to a different detectable label, while the signals from the detectable labels are
measured.
[0081] In another embodiment, the portions or isoforms can be discriminated using a dual
detection system. For example, the DPP isoforms can be contacted with a solid phase-bound
antibody which binds to all or most DPP isoforms and one or more antibodies or lectins
specific for a smaller portion of DPP isoforms. Each of the more specific antibodies
or lectins contain a unique detectable label. The isoforms can be contacted with both
antibodies or the antibody and lectins simultaneously, or in either series, e.g. contacted
with the bound antibody and then the more specific antibody / lectin or with the more
specific antibody / lectin and then the bound antibody.
[0082] The DPP may be discriminated into two or more portions. The number of portions depends
on the degree of discrimination desired, and the method of discrimination performed.
There is no limitation on the number of portions into which the DPP may be discriminated,
but, for example, the DPP may be discriminated into 2 or more portions, such as 2,
3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 36, 48, 96, 100, 200, 300, 384, 400, 500
or 1536 portions. For example, in some embodiments, it is convenient to discriminate
DPP isoforms into, for example, 96 portions to allow for handling and parameter measurement
in standard 96 well plates.
[0083] For complete discrimination of isoforms, each DPP portion should contain no more
than one DPP isoform, and some portions may contain no DPP isoforms. For partial discrimination
of isoforms, at least one DPP portion should contain more than one DPP isoform, while
other portions may contain no DPP isoforms, one DPP isoform, or more than one DPP
isoform.
[0084] In certain embodiments of the invention, patient samples are obtained from an individual
at more than one time point. Such "serial" sampling is well suited for determination
of the early onset of a disease, prior to the onset of typical medical abnormalities,
and thus facilitating earlier remedial therapeutic strategies that could lead to more
effective disease management or even disease avoidance. Such serial sampling is also
well suited for the aspects of the invention related to monitoring progression of
a disease, for example, type II diabetes, in a patient. This is especially useful
for assessing effectiveness of any treatment that the patient may be undergoing in
connection with the disease. Serial sampling, or repeated sampling may also be useful
for determining individual risk for developing the disease or condition.
[0085] Serial sampling can be performed on any desired timeline, such as hourly, semi-daily,
daily, weekly, monthly, quarterly (i.e., every three months), semi-annually, annually,
biennially, or less frequently. The comparison between the measured levels and the
reference level may be carried out each time a new sample is measured, or the data
relating to levels may be held for less frequent analysis.
[0086] The measuring or discrimination preferably takes place
ex vivo or
in vitro. In one embodiment, both the measurement and discrimination takes place ex
vivo.
[0087] As will be appreciated by one of skill in the art, methods disclosed herein may include
the measurement of any of a variety of DPP or non-DPP parameters (which may or may
not be disease related parameters) to determine the integrity and/or characteristics
of the patient sample. For example, estrogen levels, which are generally higher in
females, may be measured as a marker of gender, or other chemical blood measurements
such as cholesterol levels.
[0088] Other disease-related non-DPP parameters may be measured, to confirm the diagnosis
or prognosis. In some embodiments, the non-DPP parameter is hemoglobin A1C level,
and the disease is diabetes. Hemoglobin A1C levels below 7% of overall hemoglobin
is indicative of the absence of diabetes; levels above 7% of overall hemoglobin is
indicative of the presence of diabetes. The non-DPP parameter may be measured before
or after the DPP parameter, or it may be measured simultaneously.
[0089] In order to correlate the measured DPP parameter to a disease state or condition,
the measured DPP parameter may be compared to a reference, i.e., a standard or an
internal control. An increase, decrease, or shift in DPP parameter, either individually
or additively, as compared to a reference, either positive or negative, may correlate
with a disease state.
[0090] Alternatively, the DPP parameter of a portion of the discriminated enzymes may be
compared to parameter of another portion of discriminated enzymes, or it may be compared
to the total measurement of two or more discriminated portions.
[0091] Of course, the measured parameter should be compared to a corresponding parameter.
For example, if DPP amount is measured, then the value for DPP amount should be compared
to the value for DPP amount of a reference or other portion. If DPP expression is
measured, it should be compared to DPP expression of a reference or other portion.
[0092] In certain embodiments, the parameter of a continuous range of portions is measured.
For example, for isoforms separated on the basis of isoelectric point, one or more
parameters of two or more portions separating at adjacent pH or isoelectric points
may be measured.
[0093] A profile of the measured parameter(s) may be obtained over the continuous range
of portions. Alternatively, a profile of the measured parameter(s) may be obtained
based on the measurements of a non-continuous range of portions. The profile may be
based on all portions, or it may be based on a subset of portions.
[0094] The various comparisons that may be made between and among the various portions to
determine correlation with disease state are numerous. Techniques for analyzing the
data for which the measured parameter or for comparing the data with other data are
well known to one skilled in the art. Consequently, all such techniques are not discussed
in detail herein. One exemplary technique for analyzing the data in order to draw
the desired conclusion (i.e. the presence or absence of a disease state) is illustrated
by referring to the graph in Fig. 14. In Fig. 14, the y axis depicts the level of
a DPP parameter (
e.g., activity, expression, amount, concentration, type or amount of post-translational
modification). The x axis depicts the dimension of discrimination
(e.g., pI, pH, or isoform type).
[0095] Referring to the graph, three areas are highlighted, area "a," area "b" and area
"c." For each area, the total measurement within a range (e.g., area under curve for
a given range) may be measured giving values "a" and "b", totaling value "c". Other
values which may be measured include peak value within a range, point at which the
peak value is reached within a range, specific activity at any point in the range
(for example, at a specific pI or pH), the points at which the measured parameter
increases or decreases (e.g. an inflection point), shifts in measured parameter along
the x axis compared to other measurements, and any combinations thereof. The values
may be calculated based on a profile obtained by measuring a continuous range of portions,
or they may be calculated based on measurements of single or a plurality of portions.
[0096] In order to correlate a disease state with one of the measurements, one could compare
a range "a" value(s) to the range "b" value(s); the range "a" value (s) to the range
"c" value(s); the range "b" value(s) to the range "c" value(s); the range "a" value(s)
to an internal control or standard; the range "b" value(s) to an internal control
or standard; and/or the range "c" value(s) to an internal control or standard.
[0097] Alternatively, discrete quantitative measurements in any range or any ratio of such
quantitative measurements associated with a given dimension or dimensions of discrimination
can be made and compared to known reference values or ranges of values for such measurements,
with the reference range having been established through clinical trials to provide
a scale by which to determine the presence, absence or severity of the disease. Quantitative
measurements may also be supplemented by inclusion of an internal or external standard,
run either simultaneously or in series with the dimension of discrimination (e.g.
isoform discriminations) that can be used to normalize the quantitative read-out to
the preestablished reference ranges.
[0098] As used herein, the term "standard" refers to a value, generally an average, median
or mean value, obtained from a segment of the population. The standard may be a positive
standard or a negative standard, and may be obtained from an age-matched population.
Age-matched populations (from which standard values may be obtained) are ideally the
same age as the individual being tested, but approximately age-matched populations
are also acceptable. Approximately age-matched populations may be within 1-20 years,
including about 1, about 5, about 10, about 15 or about 20 years of the age of the
individual tested, or may be groups of different ages which encompass the age of the
individual being tested. Approximately age-matched populations may be in 2, 3, 4,
5, 6, 7, 8, 9, or 10 year increments
(e.g., a "5 year increment" group which serves as the source for standard values for a 62
year old individual might include 58-62 year old individuals, 59-63 year old individuals,
60-64 year old individuals, 61-65 year old individuals, or 62-66 year old individuals).
[0099] A positive standard refers to a value, for example, an average value, which is obtained
from a segment of the population with the particular disease state. A negative standard
refers to a value, for example, an average value, which is obtained from a segment
of the population without the particular disease state.
[0100] As used herein, the term "internal control" refers to a value obtained from a sample
or samples from single patient or group of patients whose disease state is known.
An internal control may be a positive control, a negative control, or a same-patient
control. For example, the internal control may be a positive control from a patient
or patients with the particular disease state; or it may be a negative control from
a patient or patients with the particular disease state. Finally, an internal control
may be a value obtained from the patient to be diagnosed, either from a sample derived
from a different physical site (i.e., blood vs. liver), at a different time to measure
disease progression, or from two or more samples which have been processed differently
prior to measurement, or collected in separate containers which can be the same type
or different types
(e.g., two EDTA plasma tubes or one EDTA plasma and one serum tube).
[0101] The internal control value may be obtained concurrently or contemporaneously with
the measurement for the patient to be diagnosed, or it may be obtained at some other
time.
[0102] The results of the comparison between the measured value(s) or between the measured
value(s) and reference value(s) are used to diagnose or aid in the diagnosis or prognosis
of a disease, to stratify patients according to the severity of their disease, or
to monitor progression of a disease in a particular patient. Accordingly, if the comparison
indicates a difference (that is, an increase or decrease) between the measured value(s)
and the reference value(s) that is suggestive/indicative of disease, then the appropriate
diagnosis is aided in or made. Conversely, if the comparison of the measured level
(s) to the reference level(s) does not indicate differences that suggest or indicate
a disease diagnosis, then the appropriate diagnosis is not aided in or made.
[0103] When more than one disease related DPP parameter is measured, but the various measurements
do not unanimously suggest or indicate a diagnosis of disease, the "majority" suggestion
or indication
(e.g., when the method utilizes four disease related DPP parameters, three of which suggest/indicate
disease) is used. Such a result would be considered as suggesting or indicating a
diagnosis of disease for the individual.
[0104] The process of comparing a measured value and a reference value can be carried out
in any convenient manner appropriate to the type of measured value and reference value
for the diabetic related DPP parameter at issue. "Measuring" can be performed using
quantitative or qualitative measurement techniques, and the mode of comparing a measured
value and a reference value can vary depending on the measurement technology employed.
For example, when a qualitative assay is used to measure DPP activity levels, the
levels may be compared by visually comparing the intensity of the fluorescing reaction
product, or by comparing data from a spectrophotometer (
e.g., comparing numerical data or graphical data, such as bar charts, derived from the
measuring device). However, it is expected that the measured values used in the methods
of the invention will most commonly be quantitative values
(e.g., quantitative measurements of concentration, such as nanograms of DPP isoform per
milliliter of sample, or absolute amount). In other examples, measured values are
qualitative. As with quantitative measurements, the comparison can be made by inspecting
the numerical data, and by inspecting representations of the data (
e.g., inspecting graphical representations such as bar or line graphs).
[0105] The process of comparing may be manual (such as visual inspection by the practitioner
of the method) or it may be automated. For example, an assay device (such as a luminometer
for measuring chemiluminescent signals) may include circuitry and software enabling
it to compare a measured value with a reference value for DPP parameter(s). Alternately,
a separate device (
e.g., a digital computer) may be used to compare the measured value(s) and the reference
value(s). Automated devices for comparison may include stored reference values for
the disease related DPP parameter(s) being measured, or they may compare the measured
value(s) with reference values that are derived from contemporaneously measured reference
samples.
[0106] In some embodiments, the methods of the invention utilize "simple" or "binary" comparison
between the measured level(s) and the reference level(s),
e.g., the comparison between a measured level and a reference level determines whether
the measured level is higher or lower than the reference level. In some embodiments,
any difference in value may indicate disease.
[0107] As described herein, parameters may be measured quantitatively (absolute values)
or qualitatively (relative values). The respective disease related DPP parameter(s)
levels for a given assessment may or may not overlap. As described herein, for some
embodiments, qualitative data indicate a given level of disease state (mild, moderate
or severe) and in other embodiments, quantitative data indicate a given level of disease
state.
[0108] In certain aspects of the invention, the comparison is performed to determine the
magnitude of the difference between the measured and reference values,
e.g., comparing the "fold" or percentage difference between the measured value and the
reference value. A fold difference that is about 2 times lower or higher than some
minimum fold difference suggests or indicates for example, the presence of a disease.
A fold difference can be determined by measuring the absolute amount, concentration,
activity or expression of a DPP and comparing that to the absolute value of a reference,
or a fold difference can be measured by the relative difference between a reference
value and a sample value, where neither value is a measure of absolute amount, concentration,
activity or expression, and/or where both values are measured simultaneously. Alternatively,
fold differences may be measured within the test data themselves, for instance by
comparing the fold difference of "a' to "c' as compared to "b" to "c", or any other
such ratios of measurable parameters within the assay system. Accordingly, the magnitude
of the difference between the measured value and the reference value that suggests
or indicates a particular diagnosis will depend on the particular parameter being
measured to produce the measured value and the reference value used.
[0109] As described herein, there is a correlation between the DPP-IV activity profile obtained
from a continuous range of DPP-IV isoforms separated by pI and the presence, absence
or severity of type II diabetes. This correlation is used in a method for the diagnosis
or prognosis of type II diabetes comprising measuring one or more DPP-IV parameters
of discriminated DPP-IV portions from a patient sample, and correlating said measured
DPP-IV parameter with the presence, absence or severity of type II diabetes in the
patient. In certain embodiments, the DPP-IV parameter is DPP-IV activity. In certain
embodiments, the DPP-IV portions are discriminated based on pI.
[0110] The DPP-IV parameter may be compared to a population standard or an internal control.
Any difference from a negative population standard or a negative internal control
can be correlated with presence or severity of diabetes. The higher degree of difference
between the measured DPP-IV parameter and the negative reference, the more severe
the prognosis. Likewise, any difference from a positive population standard or a positive
internal control can be correlated with the absence of diabetes. As discussed above,
parameters include activity, amount, expression or concentration.
[0111] The DPP-IV portions may be discriminated by any characteristic or method disclosed
herein. In exemplary embodiments, the DPP-IV portions are discriminated based on pI.
In certain embodiments, the DPP-IV portions are separated by free flow electrophoresis.
[0112] Fig. 10 shows the comparison of DPP-IV activity profile between pI discriminated
DPP-IV portions in plasma from one healthy and one diabetic patient. The present inventors
have shown that, in diabetic patients, the DPP-IV activity profile shifts to a higher
pH. Any difference in DPP-IV activity profile at any point or points from the value
from any healthy patient shown here, or any difference in DPP-IV activity profile
at any point or points from the value obtained from an internal negative control or
population standard, can be correlated with diabetes.
[0113] Thus, a shift in DPP-IV activity profile from any negative standard shown herein
or a population negative standard to higher pH is indicative of diabetes. Likewise,
a shift in DPP-IV activity profile from an internal negative control to higher pH
is indicative of the presence of type II diabetes. The more pronounced the shift in
activity profile, the more severe the disease.
[0114] A positive standard, associated with an extreme measurement "opposite" of a healthy
sample or population, can be represented by measurement of the most extreme isoform
within the pI range in question. Such a positive standard could be established, for
example, by treatment of the patient sample with chemical or enzymatic methods to
completely remove all glycosylations, in the event that the complete absence of all
glycans represented the measurable isoform condition furthest from the isoforms contained
in typical healthy samples. It should be noted that an extreme isoform resulting from
this treatment may never actually be possible within actual samples, but can still
be used to establish the furthest possible range of pH, for purposes of providing
a measurable control for the assay. As an alternative, this "extreme" positive isoform
could be an external control, which might be measured separately or measured after
spiking into the sample being analyzed. In certain embodiments, such a positive control
could also be used to assist in normalization of the resulting sample measurements.
[0115] By "shift" in activity is meant any difference in DPP-IV activity in one or more
DPP-IV portions. For example, the measured value for DPP-IV activity may differ from
the reference in only one discriminated portion, or it may differ in some or all portions.
Trends in DPP-IV activity level, for example, higher activity level at higher pH,
are especially useful for detecting type II diabetes.
[0116] Diabetic patients and healthy patients also display two main peaks in DPP-IV activity
profile when DPP-IV is discriminated based on pI. Diabetic patients tend to display
peaks at about pH 4.4 and about pH 4.8. Each of these peaks is associated with about
10% of the total measured activity of the pI discriminated isoforms. Healthy patients
tend to display peaks at about pH 3.9 and about pH 4.1.
[0117] By "peak" is meant one of a small number of the local extreme values for all values
measured. Each value is associated with a discriminated portion. A peak value may
be associated with one discriminated portion or a group of discriminated portions.
That value may therefore by a discrete value for a single discriminated portion or
an integration of the discrete values for a range of discriminated portions. For example,
a profile of values as function of discriminated portions may contain only one peak,
or it may contain more than one peak. Generally, only the top 1, 2, 3, 4, or 5 values
will be considered peaks. Optionally, for example, the peak may be a value related,
preferably at or near the profile from a plurality of adjacent values, wherein the
values change from a rise to a falling magnitude.
[0118] Thus, a maximum peak in DPP-IV activity of pI discriminated DDP-IV isoforms at or
about pH 3.9 and/or at or about pH 4.1 can be correlated with the absence of diabetes.
[0119] Likewise, a peak in DPP-IV activity of pI discriminated DPP-IV isoforms at or about
pH 4.4 and/or at or about pH 4.8 can be correlated with the presence of diabetes.
Peaks which are at least about 10% of the total measured activity of the continuous
range of DPP-IV are especially useful for the presence of diabetes. The higher the
peak at or about pH 4.4 and/or pH 4.8, the more severe the diagnosis.
[0120] Fig. 11 is a plot showing the cumulative DPP-IV activity profile of pI discriminated
isoforms from healthy and diabetic patients. Each point in the plot represents the
cumulative percent of total activity as a function of the increasing pH of the continuous
range of discriminated isoforms. As previously explained, DPP isoforms are discriminated
by separating into discrete discriminated portions each associated with a particular
narrow band of pH.
[0121] Fig. 12 shows the pH at which the cumulative activity from pI discriminated DPP-IV
portions from individual patients reached 90% of the total activity for the measured
range, summing up the activity of the discriminated isoform portions beginning from
the acidic end of the measured pH range. The healthy patients reached 90% DPP-IV activity
for isoforms discriminated at and below about pH 4.2. In contrast, the diabetic patients
did not reach 90% DPP-IV activity for isoforms discriminated at and below about pH
4.4. The cumulative DPP-IV activity from sicker patients did not reach 90% of the
total cumulative DPP-IV activity until taking into account isoforms discriminating
at even higher pHs.
[0122] Thus, the pH at which the cumulative activity from pI discriminated DPP-IV portions
from a sample reaches 90% total activity of the sample can be used to correlate DPP-IV
activity measurement with disease. Thus, if the percent of total DPP-IV activity of
all measured portions of the continuous range present in the isoforms discriminated
at an isoelectric point associated with a pH range at and below about pH 4.4 does
not exceed about 90%, then the presence of diabetes is detected. If at least about
10% of the total DPP-IV activity of all measured portions of the continuous range
is present in the isoforms discriminated at an isoelectric point associated with a
pH range at and above about pH 4.4, then the presence of diabetes is detected. The
higher the pH above pH 4.4 at which 90% activity is reached is indicative of a more
severe prognosis.
[0123] If at least about 90% of the total DPP-IV activity of all measured portions of the
continuous range is present in the isoforms discriminated at an isoelectric point
associated with a pH range at below about pH 4.2, then the absence of diabetes is
detected. If the percent of total DPP-IV activity of all measured portions of the
continuous range present in the isoforms discriminated at an isoelectric point associated
with a pH range at and above about pH 4.2 does not exceed about 10%, then the absence
of diabetes is detected.
[0124] Fig. 13 shows the pH at which the cumulative activity from pI discriminated DPP-IV
portions from individual patients reached 60% of the total activity, summing up the
activity of isoforms beginning from the acidic end of the measured pH range. The healthy
patients reached 60% DPP-IV activity at about pH 3.9. In contrast, the diabetic patients
did not reach 60% DPP-IV activity until about pH 4.15 and above. The cumulative DPP-IV
activity from sicker patients did not reach 60% of the total cumulative DPP-IV activity
until taking into account isoforms discriminated at even higher pHs.
[0125] Thus, the pH at which the cumulative activity from pI discriminated DPP-IV portions
from a sample reaches 60% total activity of the sample can be used to correlate DPP-IV
activity measurement with disease. Thus, if the percent of total DPP-IV activity of
all measured portions of the continuous range present in the isoforms discriminated
at an isoelectric point associated with a pH range at and below about pH 4.15 does
not exceed about 60%, then the presence of diabetes is detected. If at least about
40% of the total DPP-IV activity of all measured portions of the continuous range
is present in the isoforms discriminated at an isoelectric point associated with a
pH range at and above about pH 4.15, then the presence of diabetes is detected. The
higher the pH above pH 4.15 at which 60% activity is reached is indicative of a more
severe prognosis.
[0126] If at least about 60% of the total DPP-IV activity of all measured portions of the
continuous range is present in the isoforms discriminated at an isoelectric point
associated with a pH range at and below about pH 3.9, then the absence of diabetes
is detected. If the percent of total DPP-IV activity of all measured portions of the
continuous range present in the isoforms discriminated at an isoelectric point associated
with a pH range at and above about pH 3.9 does not exceed about 40%, then the absence
of diabetes is detected.
EXAMPLE 1
[0127] Using free form electrophoresis (FFE) (BD™ Free Flow Electrophoresis System), separating
proteins based on charge, the isoforms of DPP-IV were separated into portions and
characterized. The isolation of protein isoforms is preferred for examining the role
of specific modifications on activity. Activity analysis indicates an increase in
specific activity correlates with an increase in isoform pI. This suggests that posttranslational
modifications may play a role in the regulation of DPP-IV activity. FFE may facilitate
further studies that can correlate enzyme modification(s) to disease state.
[0128] FFE was performed using the BD™ Free Flow Electrophoresis System as follows: Porcine
DPP-IV was obtained from Sigma™ (1-100 mg) were diluted (generally 1:5) in a pH-appropriate
separation medium. The diluted proteins were then loaded at the most cathodic sample
inlet of the Becton™ FFE chamber, and separated by application of 1200-1500V and 20-25
mA, with a separation medium flow rate of approximately 60 mL/h using a pH gradient
of 3-10.
[0129] Isoelectric Focusing (IEF)-FFE buffers and media were prepared according to manufacturers
protocol (Becton™ FFE Application Manual) using native conditions with a pH gradient
of 3-10. Isoelectric focusing poly acrylamide gel electrophoresis (PAGE) (IEF) was
performed with custom-made gels with T:4%, or using blank Precoats™ (Serva) equilibrated
at the appropriate pH range. Silver staining was performed to detect protein bands
and the result is shown in Fig. 3.
[0130] Activity assays were performed as follows: 45 µl of assay buffer (100 mM Tris-Cl
[pH 8.0]; 0.05% v/v DMSO) was added to a 5 µl protein sample, and the increase in
fluorescence was measured from Tinitial. Activity was expressed as the increase in
Relative Fluorescence Units (RFU)/min resulting from hydrolysis of substrate Gly-Pro-AMC
(250 µM) at 30°C. Results are shown in Figs. 2A and 2B.
[0131] Trypsin digestion of proteins was performed by excision of Sypro Ruby stained bands
that were visualized following PAGE(IEF) or SDS-PAGE and subsequent digestion according
to kit recommendations (Pierce/Sigma).
[0132] Matrix-Assisted Laser Desorption/Ionization (MALDI) MS was performed as follows:
Peptides were digested "in-gel" were extracted (as directed) and cleaned using ZipTip
® Pipette Tips (Millipore). The digested peptides were mixed 1:1 with matrix (saturated
solution of α-cyano-4-hydroxycinnamic acid in 60% acetonitrile) and spotted on a stainless
steel target (Bruker Daltonics).
[0133] The initial MALDI-Time of Flight (TOF) Peptide Mass Fingerprints (PMF) were used
to identify the digested proteins followed by TOF/TOF identification of specific peptides
(both using Mascot). Results are shown in Figs. 4A and 4B.
EXAMPLE 2
[0134] The experiments described in Example 2 followed the same protocol as presented in
Example 1, except that the protein sample was derived from human plasma from healthy
patients.
[0135] Human plasma samples (EDTA anti-coagulant) were obtained from two individuals, and
DPP-IV isoforms were separated into portions as described in Example 1. Activity was
measured as described in Example 1. The patterns of DPP-IV activity were examined
to see if an activity profile, similar to porcine DPP-IV isoforms, exist. The results
are presented in Figs. 6A and 6B.
[0136] From the results reported in Figs. 6A and 6B, it was observed that an activity spread
similar to that seen with porcine DPP-IV for DPP-IV activity in human plasma. Increasing
activity was observed at higher pH values (maximal approximately pH 5.2). Accurate
protein (DPP-IV) quantification would be needed for determination of specific activity.
[0137] Through Examples 1 and 2, it is demonstrated that protein isoforms can be separated
using FFE (IEF) and biochemical characterization of separate isoforms is enabled.
The porcine DPP-IV model exhibits multiple isoforms (identified using Mass Spec) that
exhibit different specific activities. Human DPP-IV (separated in plasma) exhibits
a similar trend when analyzed following FFE. Posttranslational modifications (PTMs)
may play a role in regulating DPP-IV specific activity. FFE may facilitate the identification
and implications of potential PTMs for individual isoforms of DPP-IV as well as other
proteins.
[0138] DPP-IV was measured as previously described. The results, presented in Figs. 6A and
6B, when compared to the results from the DPP-IV porcine experiments indicate that
human DPP-IV exhibits a similar activity trend when analyzed following FFE as the
similarly analyzed porcine DPP-IV.
[0139] Taken in total, the results from examples 1 and 2 suggest that post-translational
modifications (PTMs) may play a role in regulating DPP-IV specific activity and that
FFE may facilitate the identification and implications of potential PTMs for individual
isoforms of DPP-IV as well as other proteins.
EXAMPLE 3
[0140] The experiments described in Example 3 followed the same protocol as presented in
Example 1, except that the protein sample was derived from human plasma, and IEF was
performed with a pH gradient of 3-7. Specifically, 2 heparinized treated human plasma
samples were obtained, one from a person with type-2 diabetes (glucose level of 538
mg/dL) and one from a healthy person.
[0141] The results, presented in Figs. 7 and 8, indicate that a DPP-IV isoform profile with
a higher isoelectric range is exhibited by the diabetic sample.
EXAMPLE 4
[0142] The plasma from four healthy and five diabetic patients were discriminated by pI.
FFE was performed using the Becton™ FFE chamber as follows: 25
µL plasma (diluted 1:8) was mixed with 25
µL glycerol, 25
µL 0.08% HPMC, 125
µL Separation Buffer pH 3-7. The diluted proteins were then loaded at the most cathodic
sample inlet of the Becton™ FFE chamber, and separated by Interval Isoelectric Focusing
(IIEF)-FFE using native conditions and a 3-7 pH range with application of 1200-1500V
and 20-25 mA. IIEF-FFE was performed at 10°C with a residence time totaling 64 minutes.
A buffer flow rate of 50 mL/hr in 5 minute intervals (5 minutes forward then 5 minutes
backward) totaling 60 minutes was used. Sample application was done at 6000
µL/hr for 2 min. with a media flow rate of 180 mL/hr during sample application. Following
sample application the voltage was applied and the media flow rate was set to flow
at 50 mL/hr in 5 minute intervals (5 min forward then 5 min backward) totaling 60
min. The sample was collected following Interval Separation by increasing the buffer
flow forward to 300 mL/hr for 2 minutes, pausing, and then collecting for 2 minutes
into 96 wells. DPP-IV activity was tested as outlined in Example 1. The results are
shown in Figs. 10 and 11.
[0143] In Fig. 10, the light bars represent the value obtained at each pI from one healthy
patient, and the dark bars represent the average value obtained at each pI from one
diabetic patient.
[0144] Two main peaks are observed in the healthy patients, at approximately pH 3.9 and
approximately pH 4.1. Likewise, two main peaks are observed in the diabetic patients,
at approximately pH 4.4 and approximately pH 4.8. The diabetic plasma profile is shifted
to the higher pH, or to the right of the plasma profile from healthy patients.
[0145] In this example, Group 1 are healthy (S04, S11, S07, and S02) and Group 2 are diagnosed
diabetics: L205 - Blood Glucose = ∼ 139 mg/dL; S09 - unknown Blood Glucose; S08 -
Blood Glucose = ∼ 90 mg/dL, patient's disease is managed on medication; S01 - BG =
-150 mg/dL; and S139 - BG=∼ 350 mg/dL.
[0146] An aliquot of plasma from a healthy subject was divided and one half was desialylated
with neuraminidase and one left as a control. Each portion was separated under the
conditions described above in this Example, and the isoform profile measured by enzyme
analysis. The removal of sialic acid resulted in a shift of the profile from approximately
pH 4.0 to approximately pH 5.0. The results are represented in a bar graph in Fig.
9.
[0147] Disialylation also resulted in a two to three fold increase in specific activity,
as shown in Table 1.
| Table 1. Specific DPP-IV activity (mU/mg) of |
| Sample ID |
Specific Activity Normal |
Specific Activity Desialylated |
| S07 |
38.71 |
85.01 |
| S08 |
22.93 |
61.80 |
| S11 |
47.23 |
88.08 |
[0148] It appears that excess sialylation reduces the effectiveness (aka specific activity)
of DPP-IV. Thus, one of the reasons why patients with different disease states may
display different isoform profiles is due to post-translational modification, such
as sialylation.
[0149] To account for actual pH gradients of the multiple samples, pH reading vs. % local
activity (at that pH) were semi-integrated. Then, the percent activity along the pH
range was added. This is shown in Fig. 11. Essentially, this allows the visualization
of at what pH a certain "threshold" of activity was reached.
[0150] The healthy and diabetic data are shown at 60% in Fig. 12 and 90% at Fig. 13. The
healthy patients all fall very tightly at pH 4.2 for 90% activity; while the diabetic
patients all fall loosely above pH 4.4, and at higher pH with increasing severity
of disease. The healthy patients all fall tightly at approximately pH 3.9 for 60%
activity; while the diabetic patients all fall loosely above pH 4.15.