Rapid Point-of-Care Test for Determination of C-Peptide Levels.

C-peptide is co-secreted with insulin and is not subject to hepatic clearance and thus reflects functional ß-cell mass. Assessment of C-peptide levels can identify individuals at risk for or with type 1 diabetes with residual ß-cell function in whom ß cell-sparing interventions can be evaluated, and can aid in distinguishing type 2 diabetes from Latent Autoimmune Diabetes in Adults and late-onset type 1 diabetes. To facilitate C-peptide testing, we describe a quantitative point-of-care C-peptide test. C-peptide levels as low as 0.2 ng/ml were measurable in a fingerstick sample, and the test was accurate over a range of 0.17 to 12.0 ng/ml. This test exhibited a correlation of r = 0.98 with a high-sensitivity commercial ELISA assay and a correlation of r = 0.90 between matched serum and fingerstick samples.

Maternal serum glycosylated fibronectin as a short-term predictor of preeclampsia: a prospective cohort study.

BACKGROUND: Preeclampsia is a major pregnancy complication that results in significant maternal and infant mortality, most of which occurs in low and middle-income countries. The accurate and timely diagnosis of preeclampsia is critical in management of affected pregnancies to reduce maternal and fetal/neonatal morbidity and mortality, yet difficulties remain in establishing the rigorous diagnosis of preeclampsia based on clinical parameters alone. Biomarkers that detect biochemical disease have been proposed as complements or alternatives to clinical criteria to improve diagnostic accuracy. This cohort study assessed the performance of several biomarkers, including glycosylated fibronectin (GlyFn), to rule-in or rule-out preeclampsia within 4 weeks in a cohort of women at increased risk for preeclampsia. METHODS: 151 women with risk factors for or clinical signs and symptoms of preeclampsia were selected from a prospective cohort. Maternal serum samples were collected between 20 and 37 weeks of gestation. Clinical suspicion of preeclampsia was defined as presence of new-onset proteinuria, or clinical symptoms of preeclampsia. Subjects with a clinical diagnosis of preeclampsia at the time of enrollment were excluded. GlyFn, pregnancy-associated plasma protein-A2 (PAPPA2), placental growth factor (PlGF), and soluble fms-like tyrosine kinase-1 (sFlt-1) were measured by immunoassay. GlyFn was also determined using a rapid point-of care (POC) test format. Receiver-operating characteristic (ROC) curves derived from logistic regression analysis were used to determine the classification performance for each analyte. RESULTS: 32 of 151 (21%) women developed a clinical diagnosis of preeclampsia within 4 weeks. All biomarkers exhibited good classification performance [GlyFn (area under the curve (AUROC) = 0.94, 91% sensitivity, 86% specificity); PAPPA2 AUC = 0.92, 87% sensitivity, 77% specificity; PlGF AUC = 0.90, 81% sensitivity, 83% specificity; sFlt-1 AUC = 0.92, 84% sensitivity, 91% specificity. The GlyFn immunoassay and the rapid POC test showed a correlation of r = 0.966. CONCLUSIONS: In this prospective cohort, serum biomarkers of biochemical disease were effective in short-term prediction of preeclampsia, and the performance of GlyFn in particular as a POC test may meet the needs of rapid and accurate triage and intervention.

Maternal serum biomarkers for risk assessment in gestational diabetes. A potential universal screening test to predict GDM status.

The prevalence of gestational diabetes mellitus (GDM) is increasing because of the worldwide obesity/diabetes epidemic. The complications of untreated GDM affect both the mother and baby and include complications during pregnancy as well as increased risk of subsequent type-2 diabetes in mothers and offspring. Standard tests for hyperglycemia in diabetes, such as fasting glucose and hemoglobin (HbA1c), are currently not recommended for GDM screening. Instead, an oral glucose tolerance test is specified, which is invasive, time-consuming, and not easily accessible to many at-risk populations. In this study, we describe a multi-analyte maternal serum profile test that incorporates novel glycoprotein biomarkers and previously described GDM-associated markers. In screening for GDM by multi-analyte panel, the detection rate was 87% at a false-positive rate of 1%.

Salivary protein glycosylation as a noninvasive biomarker for assessment of glycemia.

Assessment of short-term glycemic control can facilitate monitoring of diabetes development in at-risk individuals and monitoring response to lifestyle modification or medication. We evaluated salivary protein glycosylation levels as a novel, noninvasive, short-term glycemic index in comparison to hemoglobin A1c (HbA1c), fructosamine, 1,5-anhydroglucitol (1,5-AG), and continuous glucose monitoring (CGM). Ten subjects with type 2 diabetes were monitored by CGM and saliva and blood were collected at baseline and days 1, 7, 14, 21, and 28 for determination of salivary protein glycosylation, serum fructosamine, and serum 1,5-anhydroglucitol (1,5-AG) levels, as well as HbA1c (baseline and day 28). Weekly, 14-day, 21-day, and 28-day summary blood glucose measures from CGM were computed and matched to the time of each study visit. Salivary protein glycosylation exhibited a moderate correlation with fructosamine (r = .65) and 1,5-AG (r = -.48) at baseline, and weak correlation with HbA1c (r = .3). Salivary protein glycosylation exhibited a stronger correlation than fructosamine and 1,5-AG with 7-, 14-, and 21-day average BG (r = .84, .84, and .69, respectively, vs -.37, -.28, and .00 [fructosamine] and .00, -.21, and -.57 [1,5-AG]), maximum BG (r = .79, .76, and .53 vs -.09, -.21, and -.05 [fructosamine] and -.32, -.27, and -.52 [1,5-AG]), and percentage of time over 140 mg/dL (r = .87, .79, and .59 vs -.26, -.32, and .07 [fructosamine] and -.04, -.10, and -.50 [1,5-AG]). Salivary protein glycosylation represents a promising noninvasive technology for monitoring short-term glycemic control.

Maternal serum glycosylated fibronectin as a point-of-care biomarker for assessment of preeclampsia.

OBJECTIVE: We assessed the association of glycosylated fibronectin (GlyFn) with preeclampsia and its performance in a point-of-care (POC) test. STUDY DESIGN: GlyFn, placental growth factor (PlGF), and soluble vascular endothelial growth factor receptor 1 (sFlt1) levels were determined in serum samples from 107 pregnant women. In all, 45 were normotensive and 62 were diagnosed with preeclampsia. The ability of GlyFn to assess preeclampsia status and relationships between GlyFn and maternal characteristics and pregnancy outcomes were analyzed. RESULTS: GlyFn serum levels in the first trimester were significantly higher in women with preeclampsia (P < .01) and remained higher throughout pregnancy (P < .01). GlyFn, sFlt1, PlGF, and the sFlt1/PlGF ratio were significantly associated (P < .01) with preeclampsia status, and the classification performance of these analytes represented by area under the receiver operating characteristic curve was 0.99, 0.96, 0.94, and 0.98, respectively, with 95% confidence intervals of 0.98-1.00, 0.89-1.00, 0.86-1.00, and 0.94-1.00, respectively. Increased GlyFn levels were significantly associated with gestational age at delivery (P < .01), blood pressure (P = .04), and small-for-gestational-age neonates. Repeated-measures analysis of the difference in weekly GlyFn change in the third trimester demonstrated that mild preeclampsia was associated with a weekly change of 81.7 µg/mL (SE 94.1) vs 195.2 µg/mL (SE 88.2) for severe preeclampsia. The GlyFn POC demonstrated similar performance to a plate assay with an area under the receiver operating characteristic curve of 0.93 and 95% confidence interval of 0.85-1.00. CONCLUSION: GlyFn is a robust biomarker for monitoring of preeclampsia in both a standard and POC format, which supports its utility in diverse settings.

Proteomic analysis of cervical vaginal fluid proteins among women in recurrent preterm labor.

OBJECTIVE: Proteomic analysis of four cervical-vaginal fluid (CVF) proteins to identify biomarkers of recurrent preterm birth (rPTB) in at-risk women prior to onset of preterm labor. METHODS: Nested case control study from 2007 to 2011 of women with prior spontaneous preterm birth(s) (PTB) who underwent serial CVF sampling. Mass spectrometry analysis was used and ELISA analysis was performed to validate candidates. RESULTS: 108 patients were enrolled and 10 cases and 20 gestational age matched controls were analyzed after exclusions. Of 748 CVF proteins identified, 72 had statistically significant (p < 0.05) expression differences and 38 were highly differentially expressed (p < 0.01). Four candidate proteins were abundant and involved in immune/inflammatory response, but ELISA analysis did not confirm altered expression patterns. CONCLUSION: The lack of confirmation of potential biomarkers identified by mass spectrometry and ELISA demonstrates the challenges of validating PTB biomarkers and suggests that a panel of biomarkers would improve the predictive value of CVF testing.

Glycosylated fibronectin as a first-trimester biomarker for prediction of gestational diabetes.

OBJECTIVE: To evaluate the potential clinical utility of serum biomarkers for first-trimester prediction of gestational diabetes mellitus (GDM). METHODS: Maternal serum concentrations of glycosylated (Sambucus nigra lectin-reactive) fibronectin, adiponectin, sex hormone-binding globulin, placental lactogen, and high-sensitivity C-reactive protein (CRP) were measured at 5-13 weeks of gestation in a case-control study of 90 pregnant women with subsequent development of GDM and in 92 control group participants. Ability to detect GDM was assessed using logistic regression modeling and receiver operating characteristic (ROC) curves. Classification performance and positive and negative predictive values were reported at specific thresholds. Glycosylated fibronectin variation across trimesters was evaluated using a serial-measures analysis of 35 nondiabetic control group participants. RESULTS: First-trimester serum concentrations of glycosylated fibronectin, adiponectin, high-sensitivity CRP, and placental lactogen were significantly associated (P<.001) with GDM. After adjustment for maternal factors and other biomarkers, glycosylated fibronectin demonstrated an independent association with GDM (P<.001). Adiponectin, high-sensitivity CRP, and placental lactogen demonstrated modest classification performance compared with glycosylated fibronectin (respectively: area under the curve [AUC] 0.63; 95% confidence interval [CI] 0.53-0.71; AUC 0.68; 95% CI 0.60-0.76; and AUC 0.67, 95% CI 0.59-0.75; compared with AUC 0.91; 95% CI 0.87-0.96). Glycosylated fibronectin levels above a threshold of 120 mg/L correctly identified 57 GDM case group participants with a positive predictive value of 63% (95% CI 53-72%) and a negative predictive value of 95% (95% CI 94-95%) at a population prevalence of 12%. There was no association between sex hormone-binding globulin and GDM. CONCLUSION: First-trimester glycosylated fibronectin is a potential pregnancy-specific biomarker for early identification of women at risk for GDM. LEVEL OF EVIDENCE: II.

Excessive ovarian production of nerve growth factor elicits granulosa cell apoptosis by setting in motion a tumor necrosis factor α/stathmin-mediated death signaling pathway.

Excessive nerve growth factor (NGF) production by the ovary, achieved via a transgenic approach, results in arrested antral follicle growth, reduced ovulatory capacity, and a predisposition to cyst formation in response to mildly elevated LH levels. Two salient features in these mutant mice (termed 17NF) are an elevated production of 17α-hydroxyprogesterone (17-OHP(4)), testosterone, and estradiol (E(2)) in response to gonadotropins, and an increased frequency of granulosa cell (GC) apoptosis. In this study, we show that the increase in steroidal response is associated with enhanced expression of Cyp17a1, Hsd17b, and Cyp19a1, which encode the enzymes catalyzing the synthesis of 17-OHP(4), testosterone, and E(2) respectively. Using a proteomic approach, we identified stathmin (STMN1), as a protein that is overproduced in 17NF ovaries. In its phosphorylated state, STMN1 mediates a cell death signal initiated by tumor necrosis factor α (TNF). STMN1 is expressed in GCs and excessive NGF increases its abundance as well as that of its forms phosphorylated at serine (Ser) 16, 25, and 38. TNF synthesis is also increased in 17NF ovaries, and this change is abolished by blocking neurotrophic tyrosine kinase receptors. Inhibiting TNF actions in vivo by administering a soluble TNF receptor prevented the increase in total and phosphorylated STMN1 production, as well as GC apoptosis in NGF-overproducing ovaries. These results indicate that an excess of NGF in the ovary promotes steroidogenesis by enhancing the expression of enzyme genes involved in 17-OHP(4), testosterone, and E(2) synthesis, and causes GC apoptosis by activating a TNF/ STMN1-mediated cell death pathway.

Comprehensive maternal serum proteomic profiles of preclinical and clinical preeclampsia.

We systematically characterized maternal serum proteome in women with clinical preeclampsia (PE) and asymptomatic women in early pregnancy that subsequently developed PE. Clinical PE cohort comprised 30 patients with mild PE, 30 with severe PE, and 58 normotensive women. Preclinical PE cohort included 149 women whose serum samples were collected at 8-14 gestational weeks and in whom 30 women later developed mild and 40 severe PE. Serum proteome was analyzed and enzyme-linked immunosorbent assays were used for protein quantification. In Clinical PE, fibronectin, pappalysin-2, choriogonadotropin-beta, apolipoprotein C-III, cystatin-C, vascular endothelial growth factor receptor-1, and endoglin were more abundant compared to normotensive women. In preclinical PE, differently expressed proteins included placental, vascular, transport, matrix, and acute phase proteins. Angiogenic and antiangiogenic proteins were not significant. We conclude that placental and antiangiogenic proteins are abundant in clinical PE. In preclinical PE, proteomic profile is distinct and different from that in clinical PE.

Noninvasive diagnosis of intraamniotic infection: proteomic biomarkers in vaginal fluid.

OBJECTIVE: We analyzed the vaginal fluid proteome to identify biomarkers of intraamniotic infection among women in preterm labor. STUDY DESIGN: Proteome analysis was performed on vaginal fluid specimens from women with preterm labor, using multidimensional liquid chromatography, tandem mass spectrometry, and label-free quantification. Enzyme immunoassays were used to quantify candidate proteins. Classification accuracy for intraamniotic infection (positive amniotic fluid bacterial culture and/or interleukin-6 >2 ng/mL) was evaluated using receiver-operator characteristic curves obtained by logistic regression. RESULTS: Of 170 subjects, 30 (18%) had intraamniotic infection. Vaginal fluid proteome analysis revealed 338 unique proteins. Label-free quantification identified 15 proteins differentially expressed in intraamniotic infection, including acute-phase reactants, immune modulators, high-abundance amniotic fluid proteins and extracellular matrix-signaling factors; these findings were confirmed by enzyme immunoassay. A multi-analyte algorithm showed accurate classification of intraamniotic infection. CONCLUSION: Vaginal fluid proteome analyses identified proteins capable of discriminating between patients with and without intraamniotic infection.

Insights into the multifactorial nature of preterm birth: proteomic profiling of the maternal serum glycoproteome and maternal serum peptidome among women in preterm labor.

OBJECTIVE: The purpose of this study was to identify peptide classifiers that predict spontaneous preterm birth (SPTB) among women in preterm labor (PTL) and to demonstrate specific protein pathways that are activated in PTL. STUDY DESIGN: Serum from 110 women with PTL between 20 weeks and 33 weeks 6 days of gestation was subjected to glycoprotein purification, matrix-assisted laser desorption ionization time-of-flight mass spectrometry peptide profiling, 2-dimensional liquid chromatography tandem mass spectrometry, and pathway analysis. Women were divided into 2 groups: delivery at <34 weeks' gestation (SPTB group) and delivery at > or =34 weeks' gestation (PTL group). RESULTS: Twenty-three peptide masses were identified that discriminated PTL from SPTB in 97% of cases. Fifty-two proteins were present differentially between PTL and SPTB; 48 of 52 proteins were classified into 1 of 4 functional pathways that were involved with PTL: (1) complement/coagulation cascade, (2) inflammation/immune response, (3) fetal-placental development, and (4) extracellular matrix proteins. CONCLUSION: Among women in PTL, proteomic analysis of serum peptides and glycoproteins classifies women who will deliver preterm and identifies specific protein pathways at work among individuals with "idiopathic" PTL.

Proteomic identification of salivary biomarkers of type-2 diabetes.

The identification of biomarkers to noninvasively detect prediabetes/diabetes will facilitate interventions designed to prevent or delay progression to frank diabetes and its attendant complications. The purpose of this study was to characterize the human salivary proteome in type-2 diabetes to identify potential biomarkers of diabetes. Whole saliva from control and type-2 diabetic individuals was characterized by multidimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS). Label-free quantification was used to identify differentially abundant protein biomarkers. Selected potential biomarkers were then independently validated in saliva from control, diabetic, and prediabetic subjects by Western immunoblotting and ELISA. Characterization of the salivary proteome identified a total of 487 unique proteins. Approximately 33% of these have not been previously reported in human saliva. Of these, 65 demonstrated a greater than 2-fold difference in abundance between control and type-2 diabetes samples. A majority of the differentially abundant proteins belong to pathways regulating metabolism and immune response. Independent validation of a subset of potential biomarkers utilizing immunodetection confirmed their differential expression in type-2 diabetes, and analysis of prediabetic samples demonstrated a trend of relative increase in their abundance with progression from the prediabetic to the diabetic state. This comprehensive proteomic analysis of the human salivary proteome in type-2 diabetes provides the first global view of potential mechanisms perturbed in diabetic saliva and their utility in detection and monitoring of diabetes. Further characterization of these markers in a larger cohort of subjects may provide the basis for new, noninvasive tests for diabetes screening, detection, and monitoring.

Quantification of isotopically overlapping deamidated and 18o-labeled peptides using isotopic envelope mixture modeling.

A robust peptide quantification method was developed where overlapping peptide isotopic distributions were fit with predicted peptide isotopic envelope mixture models (IEMMs). Application to two difficult quantitative problems was demonstrated. The first was the quantification of deamidation, where masses of isotopic peaks differ by 1 Da, and the second was (18)O labeling, where the isotopic peaks are shifted 2 and 4 Da. In both cases, peptide quantification cannot be performed by simple integration of extracted ion chromatograms, because the isotopic envelopes of mass-shifted peptides are normally not resolved. To test the methodology for quantification of deamidation, several synthetic peptides and their corresponding deamidated forms were mixed at various ratios (1:0, 1:2, 2:1, 4:1, 10:1, and 20:1) and analyzed using the IEMM method, resulting in a high correlation (R(2) = 0.96) between measured and known percentages of deamidation. The IEMM method was then incorporated into a workflow for deamidation quantification in a large-scale proteomics experiment. A series of normal (3 day, 2 year, 35 year, and 70 year) and cataractous (93 year) human lenses were analyzed using two-dimensional liquid chromatography tandem mass spectrometry, and deamidation quantities of several gammaS-crystallin peptides ([N14-Q16], N53, [Q63-Q70], and N143) were determined. Two peptides (N53 and [Q63-Q70]) had more extensive deamidation in the water-insoluble portions of normal lens samples, and deamidation at N143 was more extensive in the 93 year water-insoluble cataractous sample. The utility of the technique for analysis of (18)O-labeled peptides was examined using mixtures of labeled BSA peptides in known (16)O/(18)O ratios (10:1, 4:1, 1:1, 1:4, and 1:10). The methodology allowed for accurate measurements of ratios of (16)O/(18)O peptides over the wide range of relative abundances.

Reliable detection of deamidated peptides from lens crystallin proteins using changes in reversed-phase elution times and parent ion masses.

Identifying deamidated peptides using low-resolution mass spectrometry is difficult because traditional database search programs cannot accurately detect modified peptides when the mass differences are only 0.984 Da. In this study, we utilized differential reversed-phase elution behavior of deamidated and corresponding unmodified peptide forms to significantly improve deamidation detection on a low-resolution LCQ ion trap instrument. We also improved the mass measurements of unmodified and deamidated peptide forms by averaging survey scans across each chromatogram peak. Tryptic digests of a series of normal (3-day old, 2-year old, 18-year old, 35-year old, and 70-year old) and cataractous (93-year old) human lens samples were used to produce large numbers of potentially deamidated peptides. The complex peptide mixtures were separated by strong cation exchange (SCX) chromatography followed by reversed-phase (RP) chromatography. Synthetic peptides were used to show that unmodified and deamidated peptides coeluted during the SCX separation and were completely resolved with the RP conditions used. Retention time shifts (RTS) and mass differences (DeltaM) of deamidated lens peptides and their corresponding unmodified forms were manually determined for the 70-year old lens sample. These values were used to assign correct or incorrect deamidation identifications from SEQUEST searches where deamidation was specified as a variable modification. Manual validation of SEQUEST identifications from synthetic peptides, 3-day old, and 70-year old samples had an overall 42% deamidation detection accuracy. Filtering SEQUEST identifications using RTS and DeltaM constraints resulted in >93% deamidation detection accuracy. An algorithm was developed to automate this method, and 72 Crystallin deamidation sites, 18 of which were not previously reported in human lens tissue, were detected.

Proteomic identification of urinary biomarkers of diabetic nephropathy.

OBJECTIVE: Diabetic nephropathy is a serious complication of both type 1 and type 2 diabetes, and, unless arrested, leads to end-stage renal disease. Current diagnosis consists of urine assays of microalbuminuria, which have inadequate specificity and sensitivity. RESEARCH DESIGN AND METHODS: We used proteomic analyses to identify novel biomarkers of nephropathy in urine from type 2 diabetic patients with demonstrated normo-, micro-, or macroalbuminuria. Samples were analyzed by fluorescence two-dimensional (2-D) differential in-gel electrophoresis (DIGE), and protein identification was performed by liquid chromatography-tandem mass spectrometry. RESULTS: 2-D DIGE analysis of the urinary proteome in diabetes with nephropathy identified 195 protein spots representing 62 unique proteins. These proteins belonged to several functional groups, i.e., cell development, cell organization, defense response, metabolism, and signal transduction. Comparisons between control and diabetic subjects with different stages of renal dysfunction revealed the differential expression of several proteins. Spot volume quantification identified 7 proteins that were progressively upregulated with increasing albuminuria and 4 proteins that exhibited progressive downregulation. The majority of these potential candidate biomarkers were glycoproteins. CONCLUSIONS: These data demonstrate the ability of proteomic analyses to reveal potential biomarkers for diabetic nephropathy in urine, an important step forward in advancing accurate diagnosis and our understanding of disease mechanisms.

Proteomic analysis of maternal serum in down syndrome: identification of novel protein biomarkers.

Down syndrome (DS) is the most prevalent chromosomal disorder, accounting for significant morbidity and mortality. Definitive diagnosis requires invasive amniocentesis, and current maternal serum-based testing requires a false-positive rate of about 5% to detect 85% of affected pregnancies. We have performed a comprehensive proteomic analysis to identify potential serum biomarkers to detect DS. First- and second-trimester maternal serum samples of DS and gestational age-matched controls were analyzed using multiple, complementary proteomic approaches, including fluorescence 2-dimensional gel electrophoresis (2D-DIGE), 2-dimensional liquid chromatography-chromatofocusing (2D-CF), multidimensional protein identification technology (MudPIT; LC/LC-MS/MS), and MALDI-TOF-MS peptide profiling. In total, 28 and 26 proteins were differentially present in first- and second-trimester samples, respectively. Of these, 19 were specific for the first trimester and 16 for the second trimester, and 10 were differentially present in both trimesters. Analysis of MALDI-TOF-MS peptide profiles with pattern-recognition software also discriminated between DS and controls in both trimesters, with an average recognition capability approaching 96%. A majority of the biomarkers identified are serum glycoproteins that may play a role in cellular differentiation and growth of fetus. Further characterization and quantification of these markers in a larger cohort of subjects may provide the basis for new tests for improved DS screening.

Comprehensive proteomic analysis of human cervical-vaginal fluid.

Cervical-vaginal fluid (CVF) is a potential rich source of biomarkers for enhancing our understanding of human parturition and pathologic conditions affecting pregnancy. In this study, we performed a comprehensive survey of the CVF proteome in pregnancy utilizing multidimensional liquid chromatography (2D-LC) coupled with mass spectrometry and gel-electrophoresis-based protein separation and identification. In total, 150 unique proteins were identified using multiple protein identification algorithms. Metabolism (32%) and immune response-related (22%) proteins are the major functional categories represented in the CVF proteome. A comparison of the CVF, serum, and amniotic fluid proteomes showed that 77 proteins are unique to CVF, while 56 and 17 CVF proteins also occur in serum and amniotic fluid, respectively. This data set provides a foundation for evaluation of these proteins as potential CVF biomarkers for noninvasive diagnosis of pregnancy-related disorders.

Identification of novel protein biomarkers of preterm birth in human cervical-vaginal fluid.

Spontaneous preterm birth (SPTB) is a major contributor to perinatal morbidity and mortality. However, the diagnosis of preterm labor (PTL) that leads to preterm birth is difficult, and there is a pressing need for improved diagnosis. We utilized multidimensional liquid chromatography-tandem mass spectrometry (LC/LC-MS/MS; MudPIT) and Fluorescence two-dimensional differential in-gel electrophoresis (2D-DIGE) to identify potential biomarkers of PTL and SPTB. MudPIT analysis identified 205 proteins in cervical-vaginal fluid (CVF), 28 of which exhibited significant differences in pairwise and progressive comparisons. Calgranulins, annexins, S100 calcium-binding protein A7, and epidermal fatty acid binding protein were abundant in CVF and differentially present in PTL and SPTB samples, as were the serum proteins alpha-1-antitrypsin, alpha1-acid glycoprotein, haptoglobin, serotransferrin, and vitamin D binding protein. 2D-DIGE identified 17 proteins that were significantly differentially present in PTL and SPTB. Immunoblotting with specific antibodies confirmed the differences and trends of selected markers. Further characterization and quantification of these markers in a larger cohort of subjects may provide the basis for new tests for the early, noninvasive positive prediction of SPTB.

Comprehensive proteomic analysis of the human amniotic fluid proteome: gestational age-dependent changes.

Amniotic fluid (AF) is a significant contributor to fetal health and constitutes a potential rich source of biomarkers for diagnosis of maternal and fetal disorders. In this study, we performed a comprehensive survey of the proteins expressed in AF, combining gel and liquid-based fractionation approaches coupled with LC-MS/MS analysis. Two-dimensional Liquid Chromatography (2D-LC) analysis identified 118 nonredundant proteins with high confidence. One- and two-dimensional gel electrophoresis and in-gel digestion identified 101 proteins. Combining both sets resulted in 219 proteins, of which 96 are unique to AF; 70, 18, and 35 proteins are present in serum, cervico-vaginal fluid, and all three fluids, respectively. Fluorescence two-dimensional differential in-gel electrophoresis (2D-DIGE) comparison of first-, second-, and third-trimester AF samples revealed that maximal differences in the relative abundance of AF proteins occur between the first and second trimesters. A systematic analysis of proteins present both in AF and maternal serum could lead to the development of new noninvasive diagnostic procedures to monitor fetal status.

Large-scale generation of highly enriched neural stem-cell-derived oligodendroglial cultures: maturation-dependent differences in insulin-like growth factor-mediated signal transduction.

Multipotent neural stem cells (NSCs) are competent for commitment to the oligodendrocyte (OL) lineage both in vitro and in vivo. We exploited this property to develop a rat neurospheres (NS)/oligospheres (OS)-based culture system to generate large numbers of highly enriched late OL progenitors (preOLs) and mature OLs (MatOLs). CNS neuroblastoma cell line B104-derived conditioned medium promoted the generation of nearly pure populations of preOLs from dissociated OS. The subsequent culture of preOLs with ciliary neurotrophic factor (CNTF) and 3,3',5'-triiodo-L-thyronine (T(3)) generated nearly pure populations of MatOLs. OL lineage specificity was confirmed by immunocytochemistry, quantitative RT-PCR and gene expression profiling, which demonstrated large differences between preOLs and MatOLs. The insulin-like growth factors (IGFs) are potent neuro-protective agents required for OL survival. We used this system to systematically define maturation-dependent changes in IGF signaling during the course of OL differentiation. The IGF-I and insulin receptors, insulin receptor substrate-1 (IRS-1) and IRS-2, protein kinase B (PKB)/Akt and Janus kinase (JNK) were expressed at higher levels in NS and preOLs compared with OS and MatOLs. Erk expression increased markedly from NS to OS, decreased only partially upon commitment to preOLs, and, in MatOLs, returned to a low level similar to NS. IGF activation of the generally proliferative Erk pathway was gradually acquired during NSC differentiation, whereas IGF activation of the generally pro-survival, anti-apoptotic PI3K/PKB pathway was consistently robust at each developmental stage.