Diabetes Care
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Diabetes Care 30:597-603, 2007
DOI: 10.2337/dc06-1324
© 2007 by the American Diabetes Association
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Fiorina, P.
Right arrow Articles by Del Maschio, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Fiorina, P.
Right arrow Articles by Del Maschio, A.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Emerging Treatments and Technologies
Original Article

Altered Kidney Graft High-Energy Phosphate Metabolism in Kidney-Transplanted End-Stage Renal Disease Type 1 Diabetic Patients

A cross-sectional analysis of the effect of kidney alone and kidney-pancreas transplantation

Paolo Fiorina, MD,PHD1,2, Gianluca Perseghin, MD3,4, Francesco De Cobelli, MD5, Chiara Gremizzi, MD1, Alessandra Petrelli, MD1, Lucilla Monti, MD1, Paola Maffi, MD1, Livio Luzi, MD3,4, Antonio Secchi, MD1,6 and Alessandro Del Maschio, MD5,6

1 Department of Medicine, San Raffaele Scientific Institute, Milan, Italy
2 Transplantation Research Center, Children’s Hospital, Harvard Medical School, Boston, Massachusetts
3 Department of Nutrition, San Raffaele Scientific Institute, Milan, Italy
4 Faculty of Exercise Sciences, Università degli Studi di Milano, Milan, Italy
5 Department of Radiology, San Raffaele Scientific Institute, Milan, Italy
6 Università Vita e Salute-San Raffaele, Milan, Italy

Address correspondence and reprint requests to Paolo Fiorina, MD, PhD, Department of Medicine, San Raffaele Scientific Institute, Via Olgettina 60, Milan 20132, Italy. E-mail: paolo.fiorina{at}hsr.it


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS--
 References
 
OBJECTIVE—Diabetes, hypertension, dyslipidemia, obesity, nephrotoxicity of certain immunosuppressive drugs, and the persistence of a chronic alloimmune response may significantly affect graft survival in end-stage renal disease (ESRD) type 1 diabetic patients who have undergone kidney transplant. The aim of this study was to ascertain the impact of kidney alone (KD) or combined kidney-pancreas (KP) transplantation on renal energy metabolism.

RESEARCH DESIGN AND METHODS—We assessed high-energy phosphates (HEPs) metabolism by using, in a cross-sectional fashion, 31P-magnetic resonance spectroscopy in the graft of ESRD type 1 diabetic transplanted patients who received KD (n = 20) or KP (n = 20) transplant long before the appearance of overt chronic allograft nephropathy (CAN). Ten nondiabetic microalbuminuric kidney transplanted patients and 10 nondiabetic kidney transplanted patients with overt CAN were chosen as controls subjects.

RESULTS—Simultaneous KP transplantation patients showed a higher ß-ATP/inorganic phosphorus (Pi) ratio (marker of the graft energy status) versus the other groups, and a positive correlation between ß-ATP/Pi phosphorus ratio and A1C was found. In the analysis limited to the subgroup of normoalbuminuric patients, the difference in ß-ATP/Pi was still detectable in KP patients compared with KD transplantation.

CONCLUSIONS—KP transplantation was associated with better HEPs than in KD transplantation, suggesting that restoration of ß-cell function positively affects kidney graft metabolism.

Abbreviations: 31P-MRS, 31P-magnetic resonance spectroscope • CAN, chronic allograft nephropathy • ESRD, end-stage renal disease • HEP, high-energy phosphate • KA, microalbuminuric kidney • KD, kidney alone • KP, kidney-pancreas • MRS, magnetic resonance spectroscopy • Pi, inorganic phosphorus • UAE, urinary albumin excretion


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS--
 References
 
In type 1 diabetic and end-stage renal disease (ESRD) patients who have undergone kidney alone (KD) transplantation, diabetes, hypertension, dyslipidemia, obesity, nephrotoxicity of certain immunosuppressors, and the persistence of a chronic alloimmune response may significantly affect graft survival (13). Many of these factors can induce glomerulosclerosis, tubular damage, endothelial damage, and, ultimately, deterioration of renal function leading to the appearance of chronic allograft nephropathy (CAN) of the transplanted kidney (4).

Chronic allograft dysfunction is still one of the major risk factors that affect kidney survival, along with the death of the functioning graft (5). No major breakthroughs have been proposed in the last years, either in terms of early diagnosis or as far as new treatments; only the correction of the associated disorders has been pointed out (5). Other crucial points are 1) the earlier the diagnosis of renal dysfunction, the more successful is the treatment and 2) the degree of invasiveness of the approach is the other limiting factor.

Many authors strongly believe that 31P-magnetic resonance spectroscopy (31P-MRS) can provide a potential solution for such an important issue (68). Some previous articles (9,10) demonstrated that CAN is accompanied by a decrease in ß-ATP/inorganic phosphorus (Pi) ratio at 31P-MRS, and this was thought to be the result of chronic ischemia of the kidney graft, which causes a drop in ATP. In a recent study, Kazuhiko et al. (10) have demonstrated that a kidney ß-ATP/Pi ratio at 31P-MRS <1.2 is an independent risk factor for graft survival. They discussed the role of ß-ATP/Pi ratio as a parameter for predicting long-term survival of a transplanted kidney, where a value >1.2 suggests a high probability of 3-year renal survival and a value >2.5 indicates that the transplanted kidney could survive >5 years (10).

There are emerging data that restoring ß-cell function associated with the withdrawal of uremia in ESRD type 1 diabetes can prolong graft life compared with withdrawal of uremia alone (1113).

The aim of our study was to evaluate whether metabolic markers of early kidney dysfunction were noninvasively detectable in vivo in the transplanted patients long before the appearance of overt CAN by using 31P-MRS. Furthermore, we evaluated whether kidney-pancreas (KP) transplant confers a protection on the kidney graft in terms of high-energy phosphate (HEP) metabolism, particularly at an early stage. Finally, we used early markers of renal hemodynamic changes to asses the ability of 31P-MRS to detect early alterations of kidney function (14,15).


    RESEARCH DESIGN AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS--
 References
 
Patients and transplantation
Forty ESRD type 1 diabetic patients were considered in our study and were enrolled in our waiting list for combined KP transplantation. A first group of patients underwent combined simultaneous KP transplantation (n = 20) from cadaver donors. The second group underwent KD transplantation (n = 20) and comprised either patients on the KP waiting list who received a kidney and a pancreas from a cadaver donor and who lost the pancreas graft early in the postoperative period (within 1–2 weeks, n = 12) due to pancreas thrombosis or patients who underwent renal transplantation only because the pancreas showed macroscopic damages at harvesting (n = 8). The two groups are comparable for the most important demographic characteristics upon enrollment in the study (Table 1).


View this table:
[in this window]
[in a new window]

 
Table 1— Pre- and posttransplant characteristics of ESRD type 1 diabetic patients who underwent KP or KD transplant

 
Ten nondiabetic ESRD patients who received a kidney transplant and who experienced CAN (group REJ) and restarted hemodialysis and 10 nondiabetic ESRD patients who received kidney transplant and have microalbuminuria were chosen as controls for different degrees of renal dysfunction.

Immunosuppression
Organs for transplantation were obtained from cadaver donors through Nord Italia Transplant. All patients received the following immunosuppressive treatments: antithymoglobulin (IMTIX, SANGSTAT), cyclosporine (blood trough levels between 100 and 250 ng/ml), FK506 (blood levels between 10 and 15 ng/ml; only two patients in the KP group and two in the KD group were on FK506), mofetil mycophenolate (0.5–2 mg/day), and prednisone (5–10 mg/day). Steroids were tapered and then withdrawn within 6 months from time of transplant.

Study design and laboratory assessment
For this study, only patients with transplant follow-up >1 year were selected. Only KP and KD transplantation patients with good kidney graft function were included in the study. Other than the usual routine exams, urinary albumin excretion (UAE) was assessed in an early-morning spot urine sample (Albustix; Ames, Bayer Diagnostic, Bayer, Germany). In Albustix-positive samples, the urinary albumin concentration was measured by immunonephelometry with N albumin kits (Behring, Somerville, NY). A ratio between 17 and 299 was defined as microalbuminuria, while higher values were defined as overt macroalbuminuria.

Enzyme-linked immunosorbent assay for urinary thromboxane B2 and 6-keto-prostaglandin-F-1{alpha} levels
At the time of 31P-MRS, we cross-sectionally analyzed urinary thromboxane B2 and 6-keto-prostaglandin-F-1{alpha} levels as markers of early deterioration of glomerular function (16). Urinary levels of 6-keto-prostaglandin-F-1{alpha} were assayed with a correlate enzyme immunosorbent assay kit (Assay Designs, Ann Arbor, MI). Urinary levels of thromboxane B2 were assayed with a correlate enzyme immunosorbent assay kit

31P-MRS protocol
Renal 31P-MRS was performed in the supine position with the use of a 1.5T whole-body scanner (Gyroscan Intera Master 1.5 MR System; Philips Medical Systems, Best, the Netherlands) as suggested by Klemm et al. (6). 31P spectra were obtained by means of a 10-cm diameter surface coil used for transmission and detection of radio frequency signals at the resonance frequency of 31P (at 1.5 T, 25.85 MHz). A small sample container built in the coil center, containing an aqueous solution of methyl-phosphonate, served as the geometrical reference. Standard imaging was performed to acquire scout images (SURVEY/BTFE) as shown in Fig. 1A and B. Shimming was performed with an automatic procedure by optimizing the 1H-MR spectroscopy water signal obtained with a volume-selective 90°-180°-180° sequence. Shim volumes were planned on the transverse and sagittal scout images to include the entire kidney, while avoiding skin, muscles, and adipose tissue as much as possible. The transmitter receiver was then switched without time delay to the 31P frequency. Manual tuning and matching of the 31P surface coil were performed to adjust for different coil loading. The radio frequency level was adjusted to obtain a 180° pulse of 40 µs for the reference sample at the center of the 31P surface coil. ISIS volume selection in three dimensions was the employed volume selection, based on 192 averaged free induction decays. The selection of the volume of interest was planned from the transverse and sagittal scout images and was oriented perpendicular to the abdomen-pelvic wall, avoiding inclusion of skin, adipose tissue, and muscles. Acquisition time was 9 min 48 s. Examination time was 30 min.


Figure 1
View larger version (29K):
[in this window]
[in a new window]

 
Figure 1— Magnetic resonance imaging of a transplanted kidney graft shows the position of the volume of interest used to obtain the 31P spectrum for both axial (A) and sagittal (B) positions. 31P spectrum of a transplanted kidney (C). In the lower panel, the 31P spectrum shows resonance peaks of phosphomonoesters (PME), Pi, phosphodiesters (PDE), and ATP. In the upper panel, the spectrum after line-fitting procedures is shown. FID, free induction decays; ISIS, image-selective in vivo spectroscopy; TR, repetion time.

 
31P-MR spectra were transferred to a remote SUN-SPARC workstation for analysis. The spectra were quantified automatically by model function analysis in the time domain. Signals were obtained also from phosphomonoesters, Pi, and phosphodiesters. The spectral fitting routine was based on a nonlinear least-squares Gauss-Newton implementation for exponential damping (Fig. 1C). The following parameters were obtained: ß-ATP/Pi ratio (used as a marker of HEP metabolism in vivo), phosphmonoester, phosphodiester, {alpha}-ATP, ß-ATP, and {gamma}-ATP (10).

Statistical analysis
All the data were expressed as means ± SD. When the three groups were compared cross-sectionally, ANOVA with Tukey’s test for multiple comparisons (for parametric data) or a Kruskal-Wallis test (for nonparametric data) was used according to distribution. Correlations were assessed with a Spearman’s rank correlation coefficient. A P value <0.05 (by two-tailed testing) was considered an indicator of statistical significance. Analysis of data were done using SPSS statistical package for windows (SPSS, Chicago, IL).


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS--
 References
 
Metabolic and clinical characteristics and kidney function
Cardiovascular risk factors, including age, total cholesterol, HDL, LDL, hypertension, and smoking habits, were similar in the two groups (Table 1). Triglyceride levels were statistically lower in the KP group compared with the KD and REJ groups (Table 1, P < 0.01). Patients in the KP group showed, as expected, lower glucose and A1C compared with the KD group (Table 1, P < 0.001). Patients in the REJ group, as expected, showed altered lipid metabolism and increased values of arterial blood pressure (Table 1).

No differences between the two groups of transplanted patients were evident with regard to numbers of rejection, HLA match, cold ischemia time, episodes of cytomegalovirus infection, donor age, BMI, and panel reactive antibodies pretransplant, and no infections or lymphoproliferative diseases were evident in the chosen patients (data not shown). Creatinine was <2 mg/dl in all patients in the KP, KD, and microalbuminuric kidney (KA) groups (Fig. 2A). UAE rates in all KP and in almost all KD patients were within the physiological range (Fig. 2B). However, the KD and KA groups showed higher UAE levels compared with the KP group (Fig. 2B). The REJ group exhibited higher creatinine levels than the other three groups (Fig. 2A), as well as frank proteinuria in patients who still had the ability to produce urine (data not shown).


Figure 2
View larger version (22K):
[in this window]
[in a new window]

 
Figure 2— Similar creatinine values were evident between the groups, except for those who experienced chronic rejection (REJ) (A). UAE is higher in the nondiabetic microalbuminuric group (KA) and in the diabetic KD group, compared with the KP transplanted group (B). ß-ATP/Pi ratio is higher in KP patients compared with KD, KA, or REJ patients (C). In the contest of normoalbuminuric patients, KP group showed higher ß-ATP/Pi ratio compared with the KD group, suggesting an early alteration of this ratio before the appearance of microalbuminuria (D). REJ patients are those with CAN.

 
ß-ATP/Pi ratio in the KP and KD groups
ß-ATP/Pi ratio was higher in the KP group compared with the KD group (P < 0.05) (Fig. 2C). The KP, but not KD, group had a median >1.2, which indicates a probability of graft survival >5 years. We also investigated eventual differences between male and female donors and noticed that KP and KD patients who received a kidney graft from a female donor had a lower ß-ATP/Pi ratio. This may be due to the fact that women have a lower density of nephrons and therefore a lower kidney metabolism and kidney ß-ATP/Pi ratio.

We also researched a correlation between having a KD or a KP graft with a level of ß-ATP/Pi ratio >1.2. The odds for KD patients having ß-ATP/Pi ratio <1.2 are 3, while the odds of having ß-ATP/Pi ratio <1.2 for KP patients are 0.5. The REJ and KA groups showed statistically lower ß-ATP/Pi ratios than the KP group but not compared with the KD group. Finally, we could not find a correlation between age and ß-ATP/Pi ratio (Spearman’s {rho} –0.13, P = 0.44).

Glucose metabolism and ß-ATP/Pi ratio
Since nephropathy is the major complication of diabetes, we expect that patients with residual diabetes (the KD group), and therefore high levels of A1C (>6%), will have low levels of ß-ATP/Pi ratio and thus will be predisposed for impaired renal function compared with the KP group. We tested whether there is a correlation between levels of A1C and the ß-ATP/Pi ratio. Results demonstrate an inverse correlation between A1C levels and ß-ATP/Pi ratio with a Spearman’s {rho}-correlation coefficient of –0.40 and P = 0.03 (data not shown). It is important to observe that our KD patients showed a worse glycometabolic control, as shown by high A1C (Table 1). This is not unusual, at least in our clinical experience, and is most likely due to multiple factors such as the use of diabetogenic medications (steroids and calcineurin inhibitors), the presence of a single kidney, and imperfect compliance to insulin therapy. Finally, the early enrollment of KD patients in the islet transplantation waiting list often makes the selection of these patients difficult.

Another important issue is the possible interference between hyperglycemia per se and ß-ATP/Pi ratio. In this case, the differences in the spectra could reflect only the differences in degree of diabetes control. We took advantage of a small cohort of patients who received islet transplantation >1 year after the kidney transplant. These patients (n = 5) underwent 31P-MRS during a phase of relatively good glycometabolic control (A1C 6.9 ± 0.3%) due to a well-functioning islet transplantation (all patients C-peptide >0.5 ng/ml). In this small group we still detected an impaired ß-ATP/Pi ratio (0.87 ± 0.22) but was not statistically different from the KD group despite the different glucose control.

Microalbuminuria and ß-ATP/Pi ratio and subanalysis in the normoalbuminuric patients
The KA group, despite the absence of diabetes, showed a lower ß-ATP/Pi ratio compared with the KP group, suggesting that ß-ATP/Pi ratio is impaired in microalbuminuric patients and is a clear marker of early kidney dysfunction. We assessed the existence of a relationship between UAE and ß-ATP/Pi ratio. A negative, although not statistically significant, correlation was observed (data not shown).

It is possible the altered HEP metabolism in the KD group is a consequence of an incipient renal dysfunction, as suggested by higher UAE in this group. We decided to analyze the HEP metabolism in the context of normoalbuminuric patients of the two groups (KP and KD). Even in this smaller cohort, a statistically significant difference was evident in terms of ß-ATP/Pi ratio between the two groups (KP 1.78 ± 0.40 vs. KD 0.92 ± 0.12, P = 0.02) (Fig. 2D).

Lipid metabolism and ß-ATP/Pi ratio
It has been shown that augmented lipid and lipoprotein levels increase the risk of graft chronic rejection due to vascular damage. Since cholesterol >190 mg/dl is the major risk factor for atherosclerosis and vascular complications, we investigated the correlation between cholesterol levels and ß-ATP/Pi ratio in our cohort of patients. No significant correlation was found with nonparametric Spearman’s test (Spearman’s {rho} = –0.16, P = 0.41).

Finally, we observed that levels of triglycerides were different among the KP and KD groups (P < 0.01 for difference of medians, Table 1). No significant correlation was found with nonparametric Spearman’s test (Spearman’s {rho} < 0.21, P = 0.10).

Immunosuppressive treatment and ß-ATP/Pi ratio
Calcineurin inhibitors have been seen to have a dose-dependent cytotoxic effect on the kidney; they can cause tubular damage and vasospasm of the renal artery (17,18). Alternatively to cyclosporine, FK506 has been used for some patients, although it has a similar pharmacological action and a similar nephrotoxicity (19,20). We therefore hypothesized that high doses of an immunosuppressant could correlate with low ß-ATP/Pi ratio. In our samples, results demonstrate no significant correlation (Spearman’s {rho} = –0.10, P = 0.65) between doses of cyclosporine and cyclosporine trough levels and ß-ATP/Pi ratio (data not shown). The same could be said for FK506, as there is no significant correlation between dose and ß-ATP/Pi ratio (data not shown).

Smoking and ß-ATP/Pi ratio
We did not detect any influences of smoking on ß-ATP/Pi ratio (Spearman’s {rho} > 0.30, P = 0.55). Our transplanted patients are aware of the potential negative impact of smoking on their health condition, particularly in terms of cardiovascular problems and cancer progression.

Urinary thromboxane B2/6-keto-prostaglandin-F-1{alpha} levels and ß-ATP/Pi ratio
We evaluated urinary thromboxane B2 and 6-keto-prostaglandin-F-1{alpha} levels in KP and KD groups as markers of early deterioration of glomerular function (16). It is particuarly known that in early stages of diabetes, an elevation of glomerular filtration rate is evident, with an increase in urinary prostaglandins (16). These two markers appeared to be augmented during hyperfiltration and during the early stages of diabetes or kidney disease. The KP group showed nonstatistical lower levels of urinary 6-keto-prostaglandin-F-1{alpha} and urinary thromboxane B2 (data not shown). Despite the small patient cohort, a negative trend was evident between urinary thromboxane B2 and 6-keto-prostaglandin-F-1{alpha} levels and ß-ATP/Pi ratio (data not shown).

Sensitivity and specificity of kidney spectroscopy
An estimate of intra-examination differences in ß-ATP/Pi was obtained in seven transplanted subjects in which the spectroscopy scan was obtained twice in a consecutive fashion on the same session and without changing the position of the surface coil, the sensitive volumes, and the acquisition parameters. The coefficient of variation was 6 ± 3%. Due to the considerably smaller signal-to-noise ratio, the variability was higher in the nondiabetic kidney transplanted patients with overt CAN (group REJ) (15 ± 5% tested in three patients).


    CONCLUSIONS—
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS--
 References
 
Chronic allograft dysfunction is one of the major problems that transplanted patients face and still represents one of the most important causes of graft loss (2,5,21,22). Many factors can detrimentally accelerate the burden of CAN including hypertension, dyslipidemia, overactive kidney, kidney cold ischemia, and nephrotoxicity of certain drugs (5,2327). It is particularly well known that both calcineurin inhibitors and rapamycin are nephrotoxic (5,2327), as they can induce tubular injury and glomerular vasoconstriction, leading to the worsening of kidney function (5,2327). Most patients who experience CAN restart dialysis and ultimately need retransplantation. The presence of diabetes is, of course, another worsening factor. We and others showed that restoring ß-cell function, with either islet or pancreas transplantation, can improve graft survival (12,13,28). From a clinical point of view, once the injury is established, it is unlikely that the pathological loop can be overturned; it is important to discover more noninvasive tools to use at the beginning of CAN in order to determine a propensity to develop chronic allograft dysfunction.

Microalbuminuria, while it is an early and noninvasive diagnostic tool, is also sometimes nonspecific and difficult to treat. In recent years, imaging techniques showed great potential in studying metabolic and vascular features of kidney grafts (6,8,10,29,30). We and others recently published (13,29) the use of Doppler imaging to evaluate intrarenal blood flow, which joined kidney biopsy as a tool to detect abnormalities in kidney vessel morphology and functionality. MRS in one of the most up-to-date tools to noninvasively study organ metabolism (6,8,10,2931). In this work, we aimed to use localized 31P-MRS to detect early signs of kidney graft dysfunction before the appearance of microalbuminuria and to detect a possible early beneficial effect of combined KP transplantation on kidney graft metabolism.

In our study, 31P-MRS showed that combined KP transplantation, compared with KD transplantation, is associated with a better HEP metabolism in the kidney graft, using a cross-sectional approach. ß-ATP/Pi ratio appeared to be correlated with A1C, suggesting a significant effect of glycometabolic control on HEP metabolism. Finally, these data were confirmed even in normoalbuminuric patients when there are no evidences of kidney dysfunction.

Pancreas cotransplantation can halt the progression of diabetic nephropathy in KP patients ameliorating HEP metabolism, thereby improving the survival of the kidney graft, ameliorating vascular function, and preventing the reduction of renal functional reserve (4,11,32). 31P-MRS can be helpful for detecting early dysfunction of the kidney graft long before the appearance of an overt disease. We would like to call attention to the fact that among the measured parameters, an impairment of ß-ATP/Pi ratio is the first to appear even in normoalbuminuric patients. While creatinine levels and albumin excretion rate are normal in all patients, ß-ATP/Pi ratio is lower in patients with type 1 diabetes after KD transplantation than in patients with type 1 diabetes after KP transplantation.

The utility of ß-ATP/Pi ratio as a marker of renal dysfunction is evidenced by comparing control groups with different degrees of kidney dysfunction (33). From normoalbuminuric (KP group) to microalbuminuric (KA or, to a lesser extent, KD group) to frank proteinuric (REJ group) patients, a progressive worsening of ß-ATP/Pi ratio is evident. We analyzed early markers of renal hemodynamics such as urinary thromboxane B2 and 6-keto-prostaglandin-F-1{alpha}. Both are increased in type 1 diabetic patients and in other kidney diseases during the early hyperfiltration phase. KD patients showed increased levels of both urinary markers, suggesting that they are hyperfiltrating. Interestingly, in diabetic patients, ß-ATP/Pi ratio showed a negative correlation, though not statistically significant, with urinary thromboxane B2 and 6-keto-prostaglandin-F-1{alpha}.

Glucose control does not seem to alter, at least acutely, HEP metabolism, as shown by the analysis of kidney-islet transplanted patients. Despite lower glycemia, they still showed altered HEP metabolism.

Limitations of the study
The major limitation of this study is the use of a cross-sectional study, although the two populations were homogeneous before transplantation. ß-ATP/Pi ratio of kidney graft was not specifically studied at the moment of transplant, and we cannot completely exclude the presence of some unstudied biases. Furthermore, we acknowledge the complexity of the procedure and the lack of extensive studies addressing the specificity and sensibility of the procedures.

Our study shows a higher ratio of ß-ATP/Pi in ESRD type 1 diabetic patients who underwent KP transplant compared with those who underwent KD transplant. This could have direct consequences on the prognosis of the graft if we believe that an altered HEP metabolism is the sign of early kidney graft dysfunction. These data confirm that KP transplantation is protective (compared with KD transplantation) for chronic rejection or for recurrence of diabetic nephropathy as previously suggested by others (12,13,28,34). Furthermore, we demonstrated for the first time that even in the absence of an overt renal dysfunction (as suggested, for example, by increased creatinine levels or by the appearance of proteinuria), the kidney graft showed early markers of impairment that could be used as a target for therapy. Our data confirmed the body of evidence that restoration of ß-cell function is helpful for the kidney graft with important metabolic effects. The importance of our findings has to be validated with longitudinal studies addressing particularly the sensibility of 31P-MRS in predicting graft dysfunction. Only such an approach will confirm the real value of 31P-MRS as a useful clinical technique.


    Acknowledgments
 
We are grateful to Mollie Jurewicz for her editing and valuable comments and to Alessandra Mello for her constant support.


    Footnotes
 
P.F. and G.P. contributed equally to this work.

A table elsewhere in this issue shows conventional and Système International (SI) units and conversion factors for many substances.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C Section 1734 solely to indicate this fact.

Received for publication June 25, 2006. Accepted for publication December 14, 2006.


    References
 TOP
 ABSTRACT
 INTRODUCTION
 RESEARCH DESIGN AND METHODS
 RESULTS
 CONCLUSIONS--
 References
 

  1. Harlan WR Jr, Holden KR, Williams GM, Hume DM: Proteinuria and nephrotic syndrome associated with chronic rejection of kidney transplants. N Engl J Med 277:769–776, 1967[Medline]
  2. Colvin RB: Chronic allograft nephropathy. N Engl J Med 349:2288–2290, 2003[Free Full Text]
  3. Chandraker A, Azuma H, Nadeau K, Carpenter CB, Tilney NL, Hancock WW, Sayegh MH: Late blockade of T cell costimulation interrupts progression of experimental chronic allograft rejection. J Clin Invest 101:2309–2318, 1998[Medline]
  4. De Cobelli F, Fiorina P, Perseghin G, Magnone M, Venturini M, Zerbini G, Zanello A, Mazzolari G, Monti L, Di Carlo V, Secchi A, Del Maschio A: L-arginine-induced vasodilation of the renal vasculature is preserved in uremic type 1 diabetic patients after kidney and pancreas but not after kidney-alone transplantation. Diabetes Care 27:947–954, 2004[Abstract/Free Full Text]
  5. Nankivell BJ, Borrows RJ, Fung CL, O’Connell PJ, Allen RD, Chapman JR: The natural history of chronic allograft nephropathy. N Engl J Med 349:2326–2333, 2003[Abstract/Free Full Text]
  6. Klemm A, Rzanny R, Funfstuck R, Werner W, Schibert J, Kaiser WA, Stein G: 31P-magnetic resonance spectroscopy (31P–31P-MRS) of human allografts after renal transplantation. Nephrol Dial Transplant 13:3147–3152, 1998[Abstract/Free Full Text]
  7. Geisinger MA, Risius B, Jordan ML, Zelch MG, Novick AC, George CR: Magnetic resonance imaging of renal transplants. AJR Am J Roentgenol 143:1229–1234, 1984[Abstract/Free Full Text]
  8. Beckmann N, Hof RP, Rudin M: The role of magnetic resonance imaging and spectroscopy in transplantation: from animal models to man. NMR Biomed 13:329–348, 2000[Medline]
  9. Shapiro JI, Haug CE, Weil R 3rd, Chan L: 31P nuclear magnetic resonance study of acute renal dysfunction in rat kidney transplants. Magn Reson Med 5:346–352, 1987[Medline]
  10. Seto K, Ikehira H, Obata T, Sakamoto K, Yamada K, Kshiwabara H, Yokoyama T, Tanada S: Long-term assessment of posttransplant renal prognosis with 31 P magnetic resonance spectroscopy. Transplantation 72:627–630, 2001[Medline]
  11. Bunnapradist S, Cho YW, Cecka JM, Wilkinson A, Danovitch GM: Kidney allograft and patient survival in type I diabetic recipients of cadaveric kidney alone versus simultaneous pancreas kidney transplants: a multivariate analysis of the UNOS database. J Am Soc Nephrol 14:208–213, 2003[Abstract/Free Full Text]
  12. Fioretto P, Steffes MW, Sutherland DE, Goetz FC, Mauer M: Reversal of lesions of diabetic nephropathy after pancreas transplantation. N Engl J Med 339:69–75, 1998[Abstract/Free Full Text]
  13. Fiorina P, Venturini M, Folli F, Losio C, Maffi P, Placidi C, La Rosa S, Orsenigo E, Socci C, Capella C, Del Maschio A, Secchi A: Natural history of kidney graft survival, hypertrophy, and vascular function in end-stage renal disease type 1 diabetic kidney-transplanted patients: beneficial impact of pancreas and successful islet cotransplantation. Diabetes Care 28:1303–1310, 2005[Abstract/Free Full Text]
  14. Bank N, Lahorra MA, Aynedjian HS, Schlondorff D: Vasoregulatory hormones and the hyperfiltration of diabetes. Am J Physiol 254:F202–209, 1988[Medline]
  15. Remuzzi G, FitzGerald GA, Patrono C: Thromboxane synthesis and action within the kidney. Kidney Int 41:1483–1493, 1992[Medline]
  16. Gambardella S, Andreani D, Cancelli A, Di Mario U, Cardamone I, Stirati G, Cinotti GA, Pugliese F: Renal hemodynamics and urinary excretion of 6-keto-prostaglandin F1 alpha and thromboxane B2 in newly diagnosed type 1 diabetic patients. Diabetes 37:1044–1048, 1988[Abstract]
  17. Castello L, Sainaghi PP, Bergamasco L, Letizia C, Bartoli E: Pathways of glomerular toxicity of cyclosporine-A: an "in vitro" study. J Physiol Pharmacol 56:649–660, 2005[Medline]
  18. Remuzzi G, Bertani T: Renal vascular and thrombotic effects of cyclosporine. Am J Kidney Dis 13:261–272, 1989[Medline]
  19. Heering P, Degenhardt S, Grabensee B: Tubular dysfunction following kidney transplantation. Nephron 74:501–511, 1996[Medline]
  20. Goodall T, Kind CN, Hammond TG: FK506-induced endothelin release by cultured rat mesangial cells. J Cardiovasc Pharmacol 26(Suppl. 3):S482–485, 1995
  21. Kasiske BL, Gaston RS, Gourishankar S, Halloran PF, Matas AJ, Jeffery J, Rush D: Long-term deterioration of kidney allograft function. Am J Transplant 5:1405–1414, 2005[Medline]
  22. Monaco AP, Burke JF Jr, Ferguson RM, Halloran PF, Kahan BD, Light JA, Matas AJ, Solez K: Current thinking on chronic renal allograft rejection: issues, concerns, and recommendations from a 1997 roundtable discussion. Am J Kidney Dis 33:150–160, 1999
  23. Coombes JD, Mreich E, Liddle C, Rangan GK: Rapamycin worsens renal function and intratubular cast formation in protein overload nephropathy. Kidney Int 68:2599–2607, 2005[Medline]
  24. Pelle G, Xu Y, Khoury N, Mougenot B, Rondeau E: Thrombotic microangiopathy in marginal kidneys after sirolimus use. Am J Kidney Dis 46:1124–1128, 2005[Medline]
  25. Daniel C, Renders L, Amann K, Schulze-Lohoff E, Hauser IA, Hugo C: Mechanisms of everolimus-induced glomerulosclerosis after glomerular injury in the rat. Am J Transplant 5:2849–2861, 2005[Medline]
  26. Meier-Kriesche HU, Schold JD, Srinivas TR, Howard RJ, Fujita S, Kaplan B: Sirolimus in combination with tacrolimus is associated with worse renal allograft survival compared to mycophenolate mofetil combined with tacrolimus. Am J Transplant 5:2273–2280, 2005[Medline]
  27. Ninova D, Covarrubias M, Rea DJ, Park WD, Grande JP, Stegall MD: Acute nephrotoxicity of tacrolimus and sirolimus in renal isografts: differential intragraft expression of transforming growth factor-beta1 and alpha-smooth muscle actin. Transplantation 78:338–344, 2004[Medline]
  28. Fiorina P, Folli F, Zerbini G, Maffi P, Gremizzi C, Di Carlo V, Socci C, Bertuzzi F, Kashgarian M, Secchi A: Islet transplantation is associated with improvement of renal function among uremic patients with type I diabetes mellitus and kidney transplants. J Am Soc Nephrol 14:2150–2158, 2003[Abstract/Free Full Text]
  29. Radermacher J, Mengel M, Ellis S, Stuht S, Hiss M, Schwarz A, Eisenberg U, Burg M, Luft FC, Gwinner W, Haller H: The renal arterial resistance index and renal allograft survival. N Engl J Med 349:115–124, 2003[Abstract/Free Full Text]
  30. Heindel W, Kugel H, Wenzel F, Stippel D, Schmidt R, Lackner K: Localized 31P MR spectroscopy of the transplanted human kidney in situ shows altered metabolism in rejection and acute tubular necrosis. J Magn Reson Imaging 7:858–864, 1997[Medline]
  31. Perseghin G, Fiorina P, De Cobelli F, Scifo P, Esposito A, Canu T, Danna M, Gremizzi C, Secchi A, Luzi L, Del Maschio A: Cross-sectional assessment of the effect of kidney and KP transplantation on resting left ventricular energy metabolism in type 1 diabetic-uremic patients: a phosphorous-31 magnetic resonance spectroscopy study. J Am Coll Cardiol 46:1085–1092, 2005[Abstract/Free Full Text]
  32. Becker BN, Brazy PC, Becker YT, Odorico JS, Pintar TJ, Collins BH, Pirsch JD, Leverson GE, Heisey DM, Sollinger HW: Simultaneous pancreas-kidney transplantation reduces excess mortality in type 1 diabetic patients with end-stage renal disease. Kidney Int 57:2129–2135, 2000[Medline]
  33. Grist TM, Charles HC, Sostman HD: 1990 ARRS Executive Council Award: renal transplant rejection: diagnosis with 31P MR spectroscopy. AJR Am J Roentgenol 156:105–112, 1991[Abstract/Free Full Text]
  34. Bilous RW, Mauer SM, Sutherland DE, Najarian JS, Goetz FC, Steffes MW: The effects of pancreas transplantation on the glomerular structure of renal allografts in patients with insulin-dependent diabetes. N Engl J Med 321:80–85, 1989[Abstract]

Add to CiteULike CiteULike   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?



This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Fiorina, P.
Right arrow Articles by Del Maschio, A.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Fiorina, P.
Right arrow Articles by Del Maschio, A.
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Diabetes Diabetes Care Clinical Diabetes Diabetes Spectrum