Discovery by a proteomic approach of possible early biomarkers of drug-induced nephrotoxicity in medication-overuse headache
© Bellei et al.; licensee Springer. 2013
Received: 16 November 2012
Accepted: 14 January 2013
Published: 30 January 2013
Medication-overuse headache (MOH) is a chronic headache condition that results from the overuse of analgesics drugs, triptans, or other antimigraine compounds. The epidemiology of drug-induced disorders suggests that medication overuse could lead to nephrotoxicity, particularly in chronic patients. The aim of this work was to confirm and extend the results obtained from a previous study, in which we analyzed the urinary proteome of 3 MOH patients groups: non-steroidal anti-inflammatory drugs (NSAIDs), triptans and mixtures abusers, in comparison with non-abusers individuals (controls).
In the present work we employed specialized proteomic techniques, namely two-dimensional gel electrophoresis (2-DE) coupled with mass spectrometry (MS), and the innovative Surface-Enhanced Laser Desorption/Ionization Time-of-Flight mass spectrometry (SELDI-TOF-MS), to discover characteristic proteomic profiles associated with MOH condition.
By 2-DE and MS analysis we identified 21 over-excreted proteins in MOH patients, particularly in NSAIDs abusers, and the majority of these proteins were involved in a variety of renal impairments, as resulted from a literature search. Urine protein profiles generated by SELDI-TOF-MS analysis showed different spectra among groups. Moreover, significantly higher number of total protein spots and protein peaks were detected in NSAIDs and mixtures abusers.
These findings confirm the presence of alterations in proteins excretion in MOH patients. Analysis of urinary proteins by powerful proteomic technologies could lead to the discovery of early candidate biomarkers, that might allow to identify MOH patients prone to develop potential drug overuse-induced nephrotoxicity.
KeywordsMedication-overuse headache Proteomics NSAIDs Nephrotoxicity SELDI-TOF-MS Two-dimensional gel electrophoresis
Medication-overuse headache (MOH) is a secondary cause of chronic daily headache, where headaches occur 15 or more days per month when the therapeutic agent is used excessively and on a regular basis for 3 or more months, and when headaches have developed or markedly worsened during the period of medication overuse . Approximately 40% of all patients attending Headache Centers presents a chronic form of headache and 80% of these subjects excessively use symptomatic drugs which include analgesics, migraine-specific medications (such as triptans), opioids, or drugs combinations . Although MOH has a prevalence of 1-2% in the general population, it represents a relevant health problem associated with significant long-term morbidity and disability . MOH manifests as increased frequency and intensity of migraine attacks and as enhanced sensitivity to stimuli that elicit migraine episodes . Moreover, there are evidences to support a role for genetic factors in the development of MOH . It is now recognised that MOH has characteristic clinical features, a clear biological basis and causes considerable morbidity [6, 7]. A recent study concerning the epidemiology of drug-induced disorders has demonstrated that medication overuse could lead to nephrotoxicity and potential renal damage . Particularly, drug-associated nephrotoxicity accounts for 18-27% of all acute kidney injury cases in US and medications can affect all aspects and every part of the kidney’s structure by different mechanisms of renal dysfunctions. The objective of this work was to extend and confirm the results from a previous study , in which we analyzed the urinary proteome of MOH patients overusing non-steroidal anti-inflammatory drugs (NSAIDs), triptans and mixtures, in comparison with healthy non-abusers individuals as controls, with the aim to identify significantly differences in excreted proteins induced by the excessive consumption of drugs and potentially related to nephrotoxicity. In the present study, other than to increase the number of patients and controls, we adopted further specialized proteomic techniques, namely two-dimensional gel electrophoresis (2-DE) coupled with mass spectrometry (MS), and the innovative and sensitive Surface-Enhanced Laser Desorption/Ionization Time-of-Flight mass spectrometry (SELDI-TOF-MS), with the main purpose to discover new proteomic profiles associated with MOH condition.
Patients and controls selection
Details of MOH patients and control subjects
No. of subjects
49.2 ± 7.8
46.0 ± 9.3
51.8 ± 9.9
48.1 ± 5.0
MOH duration (years)
8.7 ± 6.0
7.9 ± 5.5
9.4 ± 6.6
Days with headache/month
25.3 ± 3.5
26.5 ± 4.6
24.4 ± 5.1
Daily drug intake
2.0 ± 1.3
1.4 ± 0.6
1.8 ± 0.8
Preparation of urine samples
Second void morning urine samples (midstream) were collected and kept on ice until centrifugation (800 × g, 10 min, 4°C) to remove cell debris and other solid materials. Since human urine has a very dilute protein concentration and a high-salt content, which interferes with 2-DE analysis, the supernatants were concentrated and desalted using 3 kDa MW cut-off filter devices (Millipore). Moreover, to avoid transient increase in protein excretion, all subjects were asked to refrain from unusual physic activity the day before urine collection. The total protein concentration was estimated by the spectrophotometric Bradford’s method , and finally the samples were divided into aliquots and stored at −80°C until use, to prevent proteolysis and bacterial growth.
Two-dimensional gel electrophoresis (2-DE)
The concentrated/desalted urine sample (100 μg of total protein) was subjected to isoelectrofocalization (IEF), as previously described . Briefly, after IEF, the second-dimension separation was performed using 8-16% acrylamide gradient gels and the urinary proteins were visualized according to a silver nitrate staining protocol. Gel images were acquired by a calibrated densitometer (Bio-Rad GS800) and analyzed by the powerful image analysis software program PDQuest (version 7.3.1, Bio-Rad) to identify differently expressed proteins in the different groups. The PDQuest software compares images of 2-DE gels to determine differential protein expression and accurately identifies increased or decreased proteins on the basis of spots staining intensity. When spots were detected, the original gel image was normalized by a filtration procedure and the 3-D Gaussian spots were created. Subsequently, a standard gel image (as a master map), made by merging the Gaussian images of each NSAIDs patient, was matched with the primary gels images obtained from healthy subjects, triptans and mixtures, generating a match set. The protein spots in a comparison set of gels were quantitatively, qualitatively, and statistically analyzed, selecting for the identification by MS the protein spots with an expression difference higher than 1.5-fold.
Proteins identification by mass spectrometry
Significant spots were selected, excised manually from the gels and “in-gel” digested with trypsin, to obtain peptide fragments ready to be examined by MS, as already reported in detail . Briefly, protein spots were first de-stained and then reduced with dithiothreitol DTT and alkylatated with iodoacetamide. Subsequently, dried samples were digested with trypsin by incubation overnight at 37°C. After digestion, the peptides were first extracted and then concentrated in a vacuum drier. The peptide mixtures were analyzed using the 6520 Accurate-Mass Quadrupole-Time of Flight Liquid Chromatography-Mass Spectrometry (Q-TOF LC/MS, Agilent Technologies, CA, USA), as previously fully described .
Urine samples were analyzed on CM10 weak-cation exchange ProteinChip arrays, according to the manufacturer’s instructions. In brief, urine samples were mixed with the indicated array-specific binding buffer and loaded randomly in duplicate onto the pre-equilibrated ProteinChip surface, in order to minimize any error source. The matrix solution (saturated sinapinic acid in 0.5% trifluoroacetic acid/50% acetonitrile) was applied to each spot twice and then the ProteinChip arrays were analyzed by the ProteinChip reader Series 4000 (Bio-Rad), applying the reading protocols optimized for low and high mass to charge (m/z) range. Furthermore, to improve reproducibility, all steps were automated using the robotic instrument for liquid handling Biomek 3000 Laboratory Automation Workstation, (Beckman Coulter).
All data are provided as mean ± standard deviation (SD). Statistical significance was tested using the Student’s t-test (two-tail), considering a p-value less than 0.05 as statistically significant. Regarding SELDI-TOF analysis, statistics was performed by the ProteinChip Data Manager 3.0 software (Bio-Rad). The spectra were baseline subtracted, normalized by total ion current in the range of interest and finally mass aligned. Supervised clustering was carried out using the following settings: 5 times signal-to-noise (S/N) ratio and 20% min peak threshold in the first pass for peaks identification; 2 times S/N ratio on the second pass for cluster completion. Spectra analysis was performed using the unpaired Student’s t-test (p-value <0.05). Moreover, to test the overall quality of the assay, a pooled sample of urine was used as quality control (QC), to assess the reproducibility during all experiment. QC sample replicates were used to calculate the median coefficient of variation (CV) for each detected peak.
Urine analysis by 2-DE and protein MS identification
Differentially expressed proteins identified by Q-TOF LC/MS
Protein Entry name a
Protein full name
Acc. no. b
Theor. MW c (kDa)
Over-expressionvs controls g
NSAIDs Triptans Mixtures
Inter-α-trypsin inhibitor heavy chain H4
Ig kappa chain C region
Nuclear transport factor 2
Fatty acid-binding protein
Quantitative analysis of total protein spots detected by 2-DE and total protein peaks detected by SELDI-TOF analysis
N o. of spots (2-DE)
Increasevs controls (%)
N o. of peaks (SELDI-TOF)
Increasevs controls (%)
357 ± 22
34 ± 2.9
536 ± 14**
53 ± 3.3*
403 ± 29
40 ± 4.1
502 ± 18**
50 ± 2.6*
SELDI-TOF-MS protein profiles
This work extends and completes a previous proteomic study concerning the overuse of antimigraine drugs in MOH patients and the possible risk to develop nephrotoxicity . Urinary proteomics is among the most rapidly growing subdisciplines of proteomics applied to biomedical research and represent one of the key emerging technologies to discover new biomarkers for renal disease [15, 16]. In the present study we applied powerful proteomic methods for protein profiling and biomarker discovery, i.e. 2-DE together with MS and SELDI-TOF-MS. Urine analysis by 2-DE confirmed 6 proteins previously identified as differentially expressed and, in addition, revealed 15 new differential proteins in MOH patients respect to control subjects (Figure 1B, bold), in each range of MW (Figure 2 and Table 2). In particular, at high-MW we observed the over-expression of ALBU in NSAIDs and mixtures patients. This finding, even if it could be reasonably expected, has never been shown in migraineurs patients, which suffer from a neurological disorder in the absence of any tissue injury; particularly, these patients do not manifest any other disease or physical dysfunction that could be related to the observed changes in protein expression, but purely they abuse drugs from several years. From this point of view, the medication overuse can be considered the pivotal cause of the altered protein excretion. Traditionally, the occurrence of albuminuria has been held as a marker of altered glomerular permeability, and the use of ALBU excretion has been well established as a diagnostic and prognostic marker to evaluate the severity degree of glomerular damage in the progression of chronic kidney disease . Moreover, in urine of MOH abusers we found also several ALBU fragments. This could be explained because during glomerular filtration (particularly in the course of acute renal injury) ALBU undergoes fragmentation through the activation of intrarenal proteases, producing modified forms and smaller peptides (<10 kDa) that are excreted in urine . Moreover, in support of this hypothesis, we found also increased levels of some proteases, such as A1AT, which proteolytic activity has been observed in tubulo-interstitial damage , other than SAP and SPB3, that may act as hydrolases. Therefore, we might suppose the occurrence of a “proteolytic attack” against ALBU in urine of MOH patients, causing its extensive degradation. At medium-MW we found 2 proteins significantly increased in all MOH abusers, namely ACTB and ANXA1, and the over-expression of APOH only in NSAIDs group. ACTB is a component of the cytoskeleton and is a mediator of the internal cell motility, while ANXA1 is implicated in several processes, including apoptosis and specialized renal functions . About APOH, despite its relatively high-MW, it is excreted in elevated quantity by patients with primary renal tubular disorders . In general, high-MW proteins (such as ALBU) are used as markers of glomerular filtration and low-MW proteins (traditionally B2MG) are markers of tubular damage; both glomerular and tubular damages are followed by renal dysfunctions . The increase in urinary excretion of APOH and low-MW proteins in subjects with plasma creatinine concentrations within the reference range and normal urinalysis, as MOH patients enrolled in our study, may be explained by an overflow mechanism. One possibility is that there may be competition from ALBU and other proteins for reabsorption by the proximal tubule cells. An alternative probable explanation is that it results from diminution in the ability of the proximal tubule cells to bind and incorporate these proteins into endocytic vesicles or to hydrolyze them within lysosome. In our study we detected significantly increased excretion of B2MG in both NSAIDs and triptans groups. This protein (as well as the majority of the low-MW ones), is readily and freely filtered through the glomerulus and normally almost completely reabsorbed and destroyed by proximal tubular cells, so that only 0.3% of the filtered protein is found daily in the urine. Impairment of B2MG tubular uptake results in a raised urinary excretion, so B2MG level in urine has been taken as marker of proximal tubular dysfunctions . We revealed increased excretion of ALBU and B2MG in MOH abusers either by 2-DE analysis that with SELDI-TOF-MS (Figure 3 and Figure 4, respectively). This latter is a versatile high-throughput technique able to provide a rapid protein expression profile from a variety of complex biological materials . Analyzing MOH patients and controls urine samples by SELDI-TOF, considerable differences in protein profiles emerged within groups, both in terms of quality (Figure 3 and Figure 4), and quantity (Table 3). In fact, as illustrated in Table 3, the total number of protein peaks detected was significantly higher in NSAIDs and mixtures patients. These results are in accordance with those obtained by the 2-DE spots count, showing a strict overlap of percentage increase values. Interestingly, total urinary proteins (together with B2MG and CYTC, also identified in our studies), have been described as nephrotoxicity markers to detect drug-induced kidney damage . Another low-MW protein over-excreted in all MOH patients groups was the PTGDS, also known as prostaglandin-D2 synthase or β-trace protein. Prostaglandins play a major role in renal functions and development. Elevated levels of serum PTGDS, then physiologically eliminated via the kidneys, have been found in patients with impaired renal function , while urinary PTGDS excretion was found significantly increased in patients who were given long-term administration of gentamicin . Other low-MW proteins over-expressed were: PGBM (fragment), a proteoglycan present in the glomerular basement membrane that provides a charge-selective barrier for glomerular filtration ; NTF2, a transport protein; S10A8, a calcium-binding regulatory protein (like S10AB), that plays a role as pro-inflammatory mediator in acute and chronic inflammation, other than to be differentially expressed in various tumor types. The hormone-binding protein TTHY (increased only in NSAIDs abusers), is mainly synthesized in the liver and its defects are the causes of amyloidosis. Insights into disease revealed that amyloid renal deposits commonly occur, together with kidney damage and proteinuria . Finally, we found an over-expression of FABP5. This is an intracellular fatty acid carrier protein predominantly expressed in human proximal tubules. Several clinical studies demonstrated that in kidney disease the expression of FABP was increased and urinary excretion was accelerated, reflecting the disease progression . For these reasons FABP has been proposed as an excellent biomarker for predicting and monitoring deterioration of renal function and for early detection of kidney injury . The mechanisms of nephrotoxicity can vary between agents, including indirect or direct effects, that may be localized to a particular anatomical site. For this reason, there is much interest in the discovery of new biomarkers, that might provide a sensitive and rapid tool for the diagnosis of possible acute kidney injury after drug exposure, and thus allow earlier intervention with remedial therapy. In recent years, a broad range of serum and urinary enzymes and proteins have been proposed as possible early biomarkers of drug-induced nephrotoxicity , also through the use of proteomic methods . In the present study, utilizing a proteomic approach, we evidenced an over-expression of a definite pattern of urinary proteins largely associated with various renal dysfunctions, particularly in NSAIDs abusers; this finding supports our previous results. Moreover, NSAIDs and mixtures abusers showed a significantly elevated number of total proteins, with a mean increase of around 50% respect to controls.
To summarize, regarding the possibility of drug-induced nephrotoxicity, we confirmed no particular risk only associated with the use of triptans. On the other hand, it is important to emphasize that, so far, none of the MOH patients participating to this study has shown any clinical sign or symptoms of kidney impairment; furthermore, their serum creatinine levels are in the normal range. It is specifically for these reasons that the over-expressed proteins that we found in urine of these abusers might represent potential early candidate biomarkers of kidney injury. Based on the results obtained in this work, we point out that it is important to monitor the renal function of MOH patients, especially for NSAIDs and mixtures abusers, because they might be prone to gradually progress toward different renal syndromes. In this way, an earlier detection of possible acute kidney dysfunctions using a distinctive panel of protein biomarkers, each informing on the integrated aspects of glomerular, tubular and interstitial function, might provide an opportunity to minimize the potential risk to develop severe or persistent renal damages also in presence of a normal clinical pattern.
two-dimensional gel electrophoresis
Surface-Enhanced Laser Desorption/Ionization Time-of-Flight mass spectrometry
actin, cytoplasmic 1
nuclear transport factor 2
fatty acid-binding protein
The authors thank “Fondazione Cassa di Risparmio di Modena” (Italy), for financial support.
- International Classification of Headache Disorders, 2nd Edition: Headache Classification Subcommittee of the International Headache Society. Cephalalgia 2004,24(Suppl 1):8–152.Google Scholar
- Meng ID, Dodick D, Ossipov MH, Porreca F: Pathophysiology of medication overuse headache: insights and hypotheses from preclinical studies. Cephalalgia 2011,31(7):851–860. 10.1177/0333102411402367PubMedView ArticleGoogle Scholar
- Diener HC, Limmroth V: Medication-overuse headache: a worldwide problem. Lancet Neurol 2004, 3: 475–483. 10.1016/S1474-4422(04)00824-5PubMedView ArticleGoogle Scholar
- De Felice M, Ossipov MH, Porreca F: Update on medication-overuse headache. Curr Pain Headache Rep 2011, 15: 79–83. 10.1007/s11916-010-0155-1PubMed CentralPubMedView ArticleGoogle Scholar
- Di Lorenzo C, Di Lorenzo G, Sances G, Ghiotto N, Guaschino E, Grieco GS, Santarelli FM, Casali C, Troisi A, Siracusano A, Pierelli F: Drug consumption in medication overuse headache is influenced by brain-derived neurotrophic factor Val66Met polymorphism. J Headache Pain 2009, 10: 349–355. 10.1007/s10194-009-0136-0PubMed CentralPubMedView ArticleGoogle Scholar
- Davies P: Medication overuse headache: a silent pandemic. Pain 2012, 153: 7–8. 10.1016/j.pain.2011.10.021PubMedView ArticleGoogle Scholar
- Negro A, Martelletti P: Chronic migraine plus medication overuse headache: two entities or not? J Headache Pain 2011, 12: 593–601. 10.1007/s10194-011-0388-3PubMed CentralPubMedView ArticleGoogle Scholar
- Taber SS, Pasko DA: The epidemiology of drug-induced disorders: the kidney. Expert Opin Drug Saf 2008,7(6):679–690. 10.1517/14740330802410462PubMedView ArticleGoogle Scholar
- Bellei E, Cuoghi A, Monari E, Bergamini S, Fantoni LI, Zappaterra M, Guerzoni S, Bazzocchi A, Tomasi A, Pini LA: Proteomic analysis of urine in medication-overuse headache patients: possibile relation with renal damages. J Headache Pain 2012, 13: 45–52. 10.1007/s10194-011-0390-9PubMed CentralPubMedView ArticleGoogle Scholar
- Ferrari A, Savino G, Gallesi D, Pinetti D, Bertolini A, Sances G, Coccia CPR, Pasciullo G, Leone S, Loi M, Sternieri E: Effect of overuse of the antimigraine combination of indomethacin, prochlorperazine and caffeine (IPC) on the disposition of its components in chronic headache patients. Pharmacol Res 2006, 54: 142–149. 10.1016/j.phrs.2006.03.022PubMedView ArticleGoogle Scholar
- Bradford MM: A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 1976, 72: 248–254. 10.1016/0003-2697(76)90527-3PubMedView ArticleGoogle Scholar
- Bellei E, Rossi E, Lucchi L, Uggeri S, Albertazzi A, Tomasi A, Iannone A: Proteomic analysis of early urinary biomarkers of renal changes in type 2 diabetic patients. Proteomics Clin Appl 2008, 2: 478–491. 10.1002/prca.200780109PubMedView ArticleGoogle Scholar
- Bellei E, Monari E, Bergamini S, Ozben T, Tomasi A: Optimizing protein recovery yield from serum samples treated with beads technology. Electrophoresis 2011, 32: 1414–1421. 10.1002/elps.201000699PubMedView ArticleGoogle Scholar
- Bellei E, Bergamini S, Monari E, Fantoni LI, Cuoghi A, Ozben T, Tomasi A: High-abundance proteins depletion for serum proteomic analysis: concomitant removal of non-targeted proteins. Amino Acids 2011,40(1):145–156. 10.1007/s00726-010-0628-xPubMedView ArticleGoogle Scholar
- Dihazi H, Müller GA: Urinary proteomics: a tool to discover biomarkers of kidney diseases. Expert Rev Proteomics 2007,4(1):39–50. 10.1586/147894188.8.131.52PubMedView ArticleGoogle Scholar
- Julian BA, Suzuki H, Suzuki Y, Tomino Y, Spasovski G, Novak J: Sources of urinary proteins and their analysis by urinary proteomics for the detection of biomarkers of disease. Proteomics Clin Appl 2009, 3: 1029–1043. 10.1002/prca.200800243PubMed CentralPubMedView ArticleGoogle Scholar
- Bolisetty S, Agarwal A: Urine albumin as a biomarker in acute kidney injury. Am J Physiol Renal Physiol 2011, 300: F626-F627. 10.1152/ajprenal.00004.2011PubMed CentralPubMedView ArticleGoogle Scholar
- Hortin GL, Sviridov D: Analysis of molecular forms of albumin in urine. Proteomics Clin Appl 2008, 2: 950–955. 10.1002/prca.200780145PubMedView ArticleGoogle Scholar
- Khan TN, Sinniah R: Renal tubular antiproteinase (alpha-1-antitrypsin and alpha-1-antichymotrypsin) response in tubulo-interstitial damage. Nephron 1993,65(2):232–239. 10.1159/000187480PubMedView ArticleGoogle Scholar
- Markoff A, Gerke V: Expression and functions of annexins in the kidney. Am J Physiol Renal Physiol 2005, 289: F949-F956. 10.1152/ajprenal.00089.2005PubMedView ArticleGoogle Scholar
- Norden AGW, Fulcher LM, Lapsley M, Flynn FV: Excretion of β 2 -glycoprotein I (apolipoprotein H) in renal tubular disease. Clin Chem 1991,97(1):74–77.Google Scholar
- Ikeda A, Konta T, Takasaki S, Hao Z, Suzuki K, Sato H, Shibata Y, Takeishi Y, Kato T, Kawata S, Kubota I: In a non-diabetic Japanese population, the combination of macroalbuminuria and increased urine beta-2-microglobulin predicts a decline of renal function: the Takahata study. Nephrol Dial Transplant 2009, 24: 841–847.PubMedView ArticleGoogle Scholar
- Miyata T, Jadoul M, Kurokawa K, Ypersele V, de Strihou C: β-2 microglobulin in renal disease. J Am Soc Nephrol 1998, 9: 1723–1735.PubMedGoogle Scholar
- Roelofsen H, Alvarez-Llamas G, Schepers M, Landman K, Vonk RJ: Proteomics profiling of urine with surface enhanced laser desorption/ionization time of flight mass spectrometry. Proteome Sci 2007, 5: 2. 10.1186/1477-5956-5-2PubMed CentralPubMedView ArticleGoogle Scholar
- Dieterle F, Perentes E, Cordier A, Roth DR, Verdes P, Grenet O, Pantano S, Moulin P, Wahl D, Mahl A, End P, Staedcler F, Legay F, Carl K, Laurie D, Chibout SD, Vonderscher J, Maurer G: Urinary clusterin, cystatin C, β2-microglobulin and total protein as markers to detect drug-induced kidnet injury. Nat Biotechnol 2010, 28: 463–469. 10.1038/nbt.1622PubMedView ArticleGoogle Scholar
- Hoffmann A, Nimtz M, Conradt HS: Molecular characterization of β-trace protein in human serum and urine: a potential diagnostic marker for renal diseases. Glycobiology 1997, 7: 499–506. 10.1093/glycob/7.4.499PubMedView ArticleGoogle Scholar
- Nakayama H, Echizen H, Gomi T, Shibuya Y, Nakamura Y, Nakano K, Arashi H, Itai T, Ohnishi S, Tanaka M, Orii T: Urinary lipocalin-type prostaglandin D synthase: a potentila marker for early gentamicin-induced renal damage? Ther Drug Monit 2009, 31: 126–130. 10.1097/FTD.0b013e31819566f1PubMedView ArticleGoogle Scholar
- Goldberg S, Harvey SJ, Cunningham J, Trayggvason K, Miner JH: Glomerular filtration is normal in the absence of both agrin and perlecan-heparan sulfate from the glomerular basement membrane. Nephrol Dial Transplant 2009, 24: 2044–2051. 10.1093/ndt/gfn758PubMed CentralPubMedView ArticleGoogle Scholar
- Lobato L, Rocha A: Transthyretin amyloidosis and the kidney. Clin J Am Soc Nephrol 2012, 7: 1337–1346. 10.2215/CJN.08720811PubMedView ArticleGoogle Scholar
- Kamijo-Ikemori A, Sugaya T, Matsui K, Yokoyama T, Kimura K: Roles of human liver type farry acid binding protein in kidney disease clarified using hL-FABP chromosomal transgenic mice. Nephrology 2011, 16: 539–544. 10.1111/j.1440-1797.2011.01469.xPubMedView ArticleGoogle Scholar
- Kamijo A, Sugaya T, Hikawa A, Yamanouchi M, Hirata Y, Ishimitsu T, Numabe A, Takagi M, Hayakawa H, Tabei F, Sugimoto T, Mise N, Omata M, Kimura K: Urinary liver-type fatty acid binding protein as a useful biomarker in chronic kidney disease. Mol Cell Biochem 2006, 284: 175–182. 10.1007/s11010-005-9047-9PubMedView ArticleGoogle Scholar
- Waring WS, Moonie A: Earlier recognition of nephrotoxicity using novel biomarkers of acute kidney injury. Clin Toxicol 2011, 49: 720–728. 10.3109/15563650.2011.615319View ArticleGoogle Scholar
- Sleno L, Emili A: Proteomic methods for drug target discovery. Curr Opin Chem Biol 2008, 12: 46–54. 10.1016/j.cbpa.2008.01.022PubMedView ArticleGoogle Scholar
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