OBJECTIVE: Non-Fc-binding anti-CD3-specific antibodies represent a promising therapy for preserving C-peptide production in subjects with recent-onset type 1 diabetes. However, the mechanisms by which anti-CD3 exerts its beneficial effect are still poorly understood, and it is questionable whether this therapeutic approach will prove durable with regard to its ability to impart metabolic preservation without additional actions designed to maintain immunological tolerance. We used the NOD mouse model to test whether rapamycin, a compound well-known for its immunomodulatory activity in mice and humans, could increase the therapeutic effectiveness of anti-CD3 treatment in type 1 diabetes. RESEARCH DESIGN AND METHODS: Rapamycin was administered to diabetic NOD mice simultaneously with anti-CD3 or to NOD mice cured by anti-CD3 therapy. The ability of this combined therapy to revert type 1 diabetes and maintain a state of long-term tolerance was monitored and compared with that of anti-CD3 therapy alone. RESULTS: Rapamycin inhibited the ability of anti-CD3 to revert disease without affecting the frequency/phenotype of T-cells. Rapamycin also reinstated diabetes in mice whose disease was previously reversed by anti-CD3. Withdrawal of rapamycin in these latter animals promptly restored a normoglycemic state. CONCLUSIONS: Our findings indicate that, when combined with anti-CD3, rapamycin exerts a detrimental effect on the disease outcome in NOD mice for as long as it is administered. These results suggest strong caution with regard to combining these treatments in type 1 diabetic patients.
OBJECTIVE: Non-Fc-binding anti-CD3-specific antibodies represent a promising therapy for preserving C-peptide production in subjects with recent-onset type 1 diabetes. However, the mechanisms by which anti-CD3 exerts its beneficial effect are still poorly understood, and it is questionable whether this therapeutic approach will prove durable with regard to its ability to impart metabolic preservation without additional actions designed to maintain immunological tolerance. We used the NODmouse model to test whether rapamycin, a compound well-known for its immunomodulatory activity in mice and humans, could increase the therapeutic effectiveness of anti-CD3 treatment in type 1 diabetes. RESEARCH DESIGN AND METHODS: Rapamycin was administered to diabeticNODmice simultaneously with anti-CD3 or to NODmice cured by anti-CD3 therapy. The ability of this combined therapy to revert type 1 diabetes and maintain a state of long-term tolerance was monitored and compared with that of anti-CD3 therapy alone. RESULTS:Rapamycin inhibited the ability of anti-CD3 to revert disease without affecting the frequency/phenotype of T-cells. Rapamycin also reinstated diabetes in mice whose disease was previously reversed by anti-CD3. Withdrawal of rapamycin in these latter animals promptly restored a normoglycemic state. CONCLUSIONS: Our findings indicate that, when combined with anti-CD3, rapamycin exerts a detrimental effect on the disease outcome in NODmice for as long as it is administered. These results suggest strong caution with regard to combining these treatments in type 1 diabeticpatients.
The NODmouse is widely used as a model of humantype 1 diabetes (1). Whereas a large number of therapeutic approaches have shown success in preventing type 1 diabetes in NODmice, agents demonstrating the clear ability to reverse established disease and restore self-tolerance in this animal model have been far more difficult to identify (2). Among the limited number of treatments demonstrated to revert established disease in diabeticNODmice is the non–Fc-binding anti-CD3ε antibody (anti-CD3) (3). Indeed, a short-term treatment with anti-CD3 at the time of diabetes onset is sufficient to reverse the disease, induce long-term remission, and prevent recurrent immune responses, including those against transplanted syngeneic pancreatic islets (4). The exact mechanism of action by which anti-CD3 provides this beneficial effect is still not fully known, but it is clear that its tolerogenic capacity develops in two consecutive phases. The first phase, known as the induction phase, occurs concomitantly with antibody administration via three distinct nonmutually exclusive mechanisms: 1) antigenic downmodulation of the T-cell receptor–CD3 complex, 2) induction of apoptosis that preferentially affects activated T-cells, and 3) induction of anergy in T-cells (5). The second phase, known as maintenance phase, is long-term in its mode of action and involves the generation of inducible TGF-β–dependent CD4+ regulatory T-cells (Tregs) that coexist with pathogenic T-cells (6). Tregs are a specialized T-cell subset essential for maintaining peripheral tolerance and preventing autoimmune disease (7). CD4+ Tregs are often categorized into two major subgroups based on their ontogeny. The first, naturally occurring CD4+CD25+FOXP3+ Tregs (nTregs), originate from the thymus. The second, so-called inducible Tregs (iTregs), are generated in the periphery. Each of these Treg subsets has been shown to be required for tolerance induction to self- and nonself-antigens (7).Given the therapeutic effectiveness of anti-CD3 in reversing type 1 diabetes in NODmice, the clinical efficacy of this drug was tested in two independent clinical trials conducted in new-onset type 1 diabeticpatients. Anti-CD3 treatment was shown to be effective in preventing loss of insulin production for at least 1 year following diagnosis, but its long-term efficacy was only evident in a limited group of patients (8,9). Given this finding, it was hypothesized that the effectiveness of anti-CD3 therapy might be improved by its use in combination with other tolerogenic treatments (10).We previously demonstrated that rapamycin, a non–calcineurin-based inhibitor used to prevent acute graft rejection following allogeneic transplantation (11), allows for in vitro expansion of murine (12) and human (13) CD4+CD25+FOXP3+ nTregs. Rapamycin also expands CD4+CD25+FOXP3+ nTregs in vivo in pre-diabeticNODmice and has a synergistic effect with interleukin (IL)-10 in blocking disease development and restoring self-tolerance (14). In addition, rapamycin monotherapy in patients with long-lasting type 1 diabetespatients improves CD4+CD25+FOXP3+ nTreg function (15). These data provide strong evidence that rapamycin is, in fact, a protolerogenic compound that could be used to boost the tolerogenic activity previously ascribed to anti-CD3 treatment in vivo. Therefore, we tested whether rapamycin could be combined with anti-CD3 therapy in curing type 1 diabetes and reinforcing the long-term tolerance in NODmice. Surprisingly, we observed that rapamycin therapy not only blocks the ability of anti-CD3 treatment to cure type 1 diabetes in NODmice but also reverts its curative effect once established. These previously unreported and unexpected results raise serious questions regarding the effectiveness of combining rapamycin and anti-CD3 therapy to induce tolerance in type 1 diabetespatients.
RESEARCH DESIGN AND METHODS
Animals.
NOD/LtJ female mice were purchased from Charles River (Calco, Italy). All mice were maintained under specific pathogen-free conditions. Animal care procedures were performed according to protocols approved by the Hospital San Raffaele Institutional Animal Care and Use Committee (IACUC no. 350).
Blood glucose monitoring.
Blood glucose was measured in the morning three times a week using a Glucometer Ascensia Breeze 2 Glucose Meter (Bayer, Leverkusen, Germany). A diagnosis of diabetes was made after a glucose measurement of ≥300 mg/dl to ensure no spontaneous disease reversal. A relapse of disease in treated animals was considered following two consecutive glucose measurements of ≥200 mg/dl, levels at which spontaneous diabetes reversal never occurred in any of the tested mice (data not shown).
Treatment.
After diabetes onset, female NODmice (aged 22 ± 7 weeks) were treated with varying doses of the non–Fc-binding anti-CD3ε F(ab′)2 clone 145-2C11 (Bio Express, West Lebanon, NH) or mAb isotype control (Golden Syrian Hamster IgG; eBioscience, San Diego, CA), according to the glycemia levels, the same day they were found to have diabetes. Rapamycin (Rapamune; Wyeth Europe, Taplow, U.K.) was diluted in water and administered by gavage once a day at 1 mg/kg, a dose that we and others previously demonstrated not to be toxic to pancreatic islets (14,16). Recombinant humanIL-10 (BD Biosciences, Mountain View, CA) was diluted in PBS and administered twice a day at a dose of 0.05 mg/kg i.p. (14).
Intraperitoneal glucose tolerance test.
Mice were fasted 16 h before receiving 2 g/kg glucose i.p. (30% glucose solution). Glucose tolerance was monitored via tail-vein sampling at time 0 (just before glucose solution injection) and 5, 10, 15, 20, 25, 30, 45, 60, 75, 90, and 120 min after glucose solution injection. All statistical analyses were performed using a two-tailed Student's t test. A P value of <0.05 was deemed significant.
RESULTS
To define a suboptimal dose of anti-CD3 amenable to combinational therapy studies (i.e., having a second agent that improves the action of the first) and to identify the influence of starting glycemia on the ability to reverse disease, we first grouped NODmice based on degree of hyperglycemia and treated with various dosages of anti-CD3 (Fig. 1A). Using this strategy, several suboptimal anti-CD3 dosages leading to a wide range of diabetes reversal rates (i.e., from 35 to 75%) were identified. The efficacy of the anti-CD3 treatment was strictly dependent on the dosage, as previously shown (17,18), but was also influenced by glucose levels at time of treatment. Figure 1B shows the glucose levels of each of the animals treated with the best effective anti-CD3 dosage (i.e., 50 μg × 3 doses in mice with 300–349 mg/dl glycemia levels), demonstrating a rapid and uniform diabetes reversal in six of eight animals treated (Fig. 1B).
FIG. 1.
Anti-CD3 and rapamycin monotherapy in diabetic NOD mice. Female diabetic NOD mice were grouped based on glycemia levels (300–349 [gray bar] and 350–400 mg/dl [white bar]) and treated with various anti-CD3 dosages. Percentages of diabetes reversal and number of mice in each group are shown (A). Glucose levels of the eight NOD mice with 300–349 mg/dl glycemia and treated with three 50-μg doses of anti-CD3 (75% diabetes reversal) are shown (B). Female diabetic NOD mice with 300–400 mg/dl glycemia were treated with rapamycin alone (1 mg/kg daily during the entire time of observation [□]) or anti-CD3 alone (50 μg × 3 doses at days 0, 1, and 2 [♦]). Percentage of diabetes reversal and number of mice are shown (C).
Anti-CD3 and rapamycin monotherapy in diabeticNODmice. Female diabeticNODmice were grouped based on glycemia levels (300–349 [gray bar] and 350–400 mg/dl [white bar]) and treated with various anti-CD3 dosages. Percentages of diabetes reversal and number of mice in each group are shown (A). Glucose levels of the eight NODmice with 300–349 mg/dl glycemia and treated with three 50-μg doses of anti-CD3 (75% diabetes reversal) are shown (B). Female diabeticNODmice with 300–400 mg/dl glycemia were treated with rapamycin alone (1 mg/kg daily during the entire time of observation [□]) or anti-CD3 alone (50 μg × 3 doses at days 0, 1, and 2 [♦]). Percentage of diabetes reversal and number of mice are shown (C).Although rapamycin has a strong immunomodulatory capacity in pre-diabeticNODmice (14,16), rapamycin monotherapy did not lead to disease reversal in any of the diabeticmice (Fig. 1C). To test whether rapamycin cooperates with anti-CD3 to reverse diabetes and reinforce the development of long-term tolerance, diabeticNODmice were treated with rapamycin and the anti-CD3 dosage that showed the weaker ability to reverse disease (i.e., 35% diabetes reversal). The concomitant administration of rapamycin and anti-CD3 did not lead to enhanced diabetes reversal in any of the animals tested (Fig. 2A); rather, the inclusion of rapamycin blocked the ability of anti-CD3 to impart its beneficial effect. The deleterious influence of rapamycin on the anti-CD3 reversal capacity was even observed when rapamycin was coadministered with dosages of anti-CD3 able to cure 65% of diabeticNODmice (Fig. 2B). Of 10 diabeticNODmice, 9 remained diabetic when treated with rapamycin and anti-CD3 at the highest effective dose (i.e., 70% diabetes reversal) (Fig. 2C).
FIG. 2.
Simultaneous administration of anti-CD3 and rapamycin or IL-10 in diabetic NOD mice. Female diabetic NOD mice were treated with anti-CD3 alone or in conjunction with rapamycin (1 mg/kg) or IL-10 (0.05 mg/kg) during the entire time of observation. NOD mice were treated with various doses of anti-CD3. Mice with 350–400 mg/dl glycemia were treated with 25 μg anti-CD3 (one dose) alone (♦) or in conjunction with rapamycin (□) (A). Mice with 300–349 mg/dl glycemia were treated with 18 μg anti-CD3 (one dose) alone (♦) or in conjunction with rapamycin (□) (B). Mice with 300–400 mg/dl glycemia were treated with 50 μg anti-CD3 (three doses) alone (♦) or in conjunction with rapamycin (□) (C). Mice with 300–400 mg/dl glycemia were treated with 50 μg anti-CD3 (three doses) alone (♦) or in conjunction with IL-10 (□) (D). Percentages of diabetes reversal and number of mice are shown.
Simultaneous administration of anti-CD3 and rapamycin or IL-10 in diabeticNODmice. Female diabeticNODmice were treated with anti-CD3 alone or in conjunction with rapamycin (1 mg/kg) or IL-10 (0.05 mg/kg) during the entire time of observation. NODmice were treated with various doses of anti-CD3. Mice with 350–400 mg/dl glycemia were treated with 25 μg anti-CD3 (one dose) alone (♦) or in conjunction with rapamycin (□) (A). Mice with 300–349 mg/dl glycemia were treated with 18 μg anti-CD3 (one dose) alone (♦) or in conjunction with rapamycin (□) (B). Mice with 300–400 mg/dl glycemia were treated with 50 μg anti-CD3 (three doses) alone (♦) or in conjunction with rapamycin (□) (C). Mice with 300–400 mg/dl glycemia were treated with 50 μg anti-CD3 (three doses) alone (♦) or in conjunction with IL-10 (□) (D). Percentages of diabetes reversal and number of mice are shown.To evaluate whether other pro-tolerogenic compounds acted similarly to rapamycin when combined with anti-CD3, we tested IL-10, an immunomodulatory cytokine with known tolerogenic potential in vivo (14,19). When coadministered with anti-CD3 in diabeticNODmice, the addition of IL-10 did not interfere with the anti-CD3 therapeutic activity (Fig. 2D). These data demonstrate that the tolerogenic capacity of anti-CD3 during the first induction phase is completely halted by rapamycin, but not by IL-10 therapy, in diabeticNODmice.To define whether the detrimental effect of rapamycin on anti-CD3 therapy was related to changes in the T-cell compartment, we tested the percentages of circulating CD4+ and CD8+ T-cells and the frequency of CD4+CD25+FoxP3+ T-cells in the pancreatic lymph nodes of NODmice treated with anti-CD3 alone or in combination with rapamycin. Circulating CD4+ T-cells were depleted upon anti-CD3 treatment irrespective of the presence of rapamycin, whereas CD8+ T-cells were only partially affected (Fig. 3A). Similarly, rapamycin did not alter the frequency of CD4+CD25+FoxP3+ T-cells in the pancreatic lymph nodes 2 weeks after anti-CD3 treatment (Fig. 3B–C). Contrary to what was previously demonstrated (6), anti-CD3–treated NODmice did not show a selective increase of CD4+CD25+ T-cells in the pancreatic lymph nodes compared with control NODmice. This might be due to the reduced anti-CD3 dosage used in our study (i.e., 50 μg × 3 doses) compared with that used by Belghith et al. (i.e., 50 μg × 5 doses) (6), which might lead to different kinetics in the expansion of CD4+CD25+ T-cells.
FIG. 3.
T-cell frequency and phenotype in NOD mice treated with anti-CD3 or anti-CD3 and rapamycin. Diabetic NOD mice were treated with anti-CD3 alone (50 μg × 3 doses, n = 6, [■]) or in combination with rapamycin (1 mg/kg per day, n = 5, [▾]). Peripheral blood was collected at different time points after treatment, and circulating CD4+ (left) and CD8+ (right) T-cells were analyzed by a fluorescence-activated cell sorter. Percentages of CD4+ and CD8+ T-cells within the CD45+ cells are shown. (●), mean ± SD of peripheral CD4+ and CD8+ T-cells in nondiabetic NOD mice within CD45+ cells (n = 10) (A). Pancreatic lymph nodes from normoglycemic untreated (n = 4), diabetic untreated (n = 5), anti-CD3–treated (50 μg × 3 doses) (n = 2), and anti-CD3– (50 μg × 3 doses) plus rapamycin treated (n = 5) NOD mice were analyzed by a fluorescence-activated cell sorter 3 weeks after treatment. One representative plot for each group, after CD4+ T-cell gating, is shown. The big gate includes all CD25+ T-cells, whereas the small gate includes only CD25+FoxP3+ T-cells. Numbers indicate the relative percentages in each gate (B). Percentages of means ± SD of CD25+ T-cells (left panel) and CD25+FoxP3+ T-cells (right panel) within CD4+ T-cells in the pancreatic lymph nodes are shown (C).
T-cell frequency and phenotype in NODmice treated with anti-CD3 or anti-CD3 and rapamycin. DiabeticNODmice were treated with anti-CD3 alone (50 μg × 3 doses, n = 6, [■]) or in combination with rapamycin (1 mg/kg per day, n = 5, [▾]). Peripheral blood was collected at different time points after treatment, and circulating CD4+ (left) and CD8+ (right) T-cells were analyzed by a fluorescence-activated cell sorter. Percentages of CD4+ and CD8+ T-cells within the CD45+ cells are shown. (●), mean ± SD of peripheral CD4+ and CD8+ T-cells in nondiabetic NODmice within CD45+ cells (n = 10) (A). Pancreatic lymph nodes from normoglycemic untreated (n = 4), diabetic untreated (n = 5), anti-CD3–treated (50 μg × 3 doses) (n = 2), and anti-CD3– (50 μg × 3 doses) plus rapamycin treated (n = 5) NODmice were analyzed by a fluorescence-activated cell sorter 3 weeks after treatment. One representative plot for each group, after CD4+ T-cell gating, is shown. The big gate includes all CD25+ T-cells, whereas the small gate includes only CD25+FoxP3+ T-cells. Numbers indicate the relative percentages in each gate (B). Percentages of means ± SD of CD25+ T-cells (left panel) and CD25+FoxP3+ T-cells (right panel) within CD4+ T-cells in the pancreatic lymph nodes are shown (C).The anti-CD3 maintenance phase in NODmice is a stable condition of tolerance that is no longer dependent on the presence of the antibody. Given our previous results, we tested whether rapamycin negatively affects this stable condition of reversed type 1 diabetes. Five weeks after anti-CD3–mediated diabetes reversal, normoglycemic NODmice were treated with rapamycin. Quite remarkably, all previously cured mice returned to a state of hyperglycemia within 7 weeks of rapamycin administration, whereas rapamycin-untreated animals showed no signs of diabetes recurrence (Fig. 4A). To further delay the interval between anti-CD3 intervention and rapamycin administration, normoglycemic NODmice were treated with rapamycin 30 weeks after anti-CD3–mediated diabetes reversal. Consistent with the aforementioned observations, two of three anti-CD3–cured NODmice returned to a diabetic state within 10 weeks of rapamycin administration, whereas all rapamycin-untreated animals remained normoglycemic (Fig. 4B). This phenomenon was reversible and strictly dependent on the presence of rapamycin, as all mice treated for 230 days with rapamycin promptly returned to a normoglycemic state upon drug removal.
FIG. 4.
Delayed rapamycin administration in anti-CD3–treated NOD mice. According to their glycemia levels, 28 female NOD mice were previously cured with anti-CD3 (♦). Thirty-five days after anti-CD3 mAb–mediated diabetes reversal, four mice were treated with rapamycin (■) and 24 were left untreated (♦). Rapamycin was administered during the entire time of observation. Percentages of diabetes reversal and number of mice are shown (A). According to their glycemia levels, 24 female NOD mice were previously cured with anti-CD3 (♦). One hundred and eighty days after anti-CD3–mediated diabetes reversal, three mice were treated with rapamycin (□) and 21 were left untreated (♦). Rapamycin was administered for 230 days and then withdrawn. Percentages of diabetes reversal and number of mice are shown (B). Intraperitoneal glucose tolerance test was performed in three normoglycemic untreated NOD mice, three diabetic NOD mice, six normoglycemic anti-CD3–cured mice, and three mice previously cured with anti-CD3 but again diabetic upon rapamycin treatment. Intraperitoneal glucose tolerance test was performed in the latter group during rapamycin treatment (i.e., 320 days after anti-CD3 mAb treatment). The average glucose levels per each time point and the best-fitting curve for each group are shown (C). The area under the curve (AUC) from time 0 to 120 min after glucose injection for all the animals included in panel B is shown (D).
Delayed rapamycin administration in anti-CD3–treated NODmice. According to their glycemia levels, 28 female NODmice were previously cured with anti-CD3 (♦). Thirty-five days after anti-CD3 mAb–mediated diabetes reversal, four mice were treated with rapamycin (■) and 24 were left untreated (♦). Rapamycin was administered during the entire time of observation. Percentages of diabetes reversal and number of mice are shown (A). According to their glycemia levels, 24 female NODmice were previously cured with anti-CD3 (♦). One hundred and eighty days after anti-CD3–mediated diabetes reversal, three mice were treated with rapamycin (□) and 21 were left untreated (♦). Rapamycin was administered for 230 days and then withdrawn. Percentages of diabetes reversal and number of mice are shown (B). Intraperitoneal glucose tolerance test was performed in three normoglycemic untreated NODmice, three diabeticNODmice, six normoglycemic anti-CD3–cured mice, and three mice previously cured with anti-CD3 but again diabetic upon rapamycin treatment. Intraperitoneal glucose tolerance test was performed in the latter group during rapamycin treatment (i.e., 320 days after anti-CD3 mAb treatment). The average glucose levels per each time point and the best-fitting curve for each group are shown (C). The area under the curve (AUC) from time 0 to 120 min after glucose injection for all the animals included in panel B is shown (D).To evaluate the metabolic parameters underlying this finding, a glucose tolerance test was performed in NODmice previously treated with anti-CD3 and under rapamycin treatment. Although two of three rapamycin-treated mice were hyperglycemic at the time of analysis (as shown in Fig. 4B), all three demonstrated a glucose response similar to that observed in diabetic untreated NODmice, while control anti-CD3–cured NODmice showed a glucose response superimposable to that of normoglycemic untreated animals (Fig. 4C–D). These data proved the inability of active rapamycin treatment to control glucose homeostasis. Overall, rapamycin reverts the stable tolerance condition established in anti-CD3–cured NODmice while it is administered.
DISCUSSION
With prior data demonstrating that rapamycin is a protolerogenic compound both in vitro and in vivo (12,13,15) as well as information from the first clinical trials with anti-CD3 in recent-onset type 1 diabeticpatients suggesting that this form of therapy can be improved (8,9), we tested the specific hypothesis that rapamycin would augment the therapeutic effectiveness of anti-CD3–mediated type 1 diabetes reversal in NODmice. Against all expectations, we observed that rapamycin not only blocks the ability of anti-CD3 treatment to cure overt hyperglycemia in NODmice but also breaks its curative effect while it is administered.Previous data demonstrate that cyclosporine A (20), anti–TGF-β, and anti–CTLA-4 neutralizing antibodies (6) block the reversal capacity of anti-CD3 in the induction phase while cyclophosphamide breaks anti-CD3–mediated tolerance during the maintenance phase (20). The mechanisms by which these compounds counteract the anti-CD3 effect have been elucidated. Cyclosporine A blocks T-cell activation and T-cell depletion mediated by activation-induced cell death, and anti–TGF-β and anti–CTLA-4 monoclonal antibodies impede the generation and/or function of inducible TGF-β–dependent Tregs, whereas cyclophosphamide depletes Tregs. Rapamycin inhibits both phases of anti-CD3–induced tolerance. In addition, rapamycin allows T-cell activation and activation-induced cell death (11), permits generation of inducible Tregs (21–23), and does not selectively deplete Tregs (12,24,25). In fact, T-cell frequency and phenotype in anti-CD3–rapamycin–treated mice were identical to those of anti-CD3–treated NODmice. It is therefore unlikely that rapamycin alters the anti-CD3 activity through the same inhibitory mechanisms demonstrated for the abovementioned compounds.It has been recently proposed that the reduced IL-2 production by T effector cells in NODmice is the root cause of the progressive loss of Treg–T effector cell balance in the islets, leading to β-cell destruction (26). Anti-CD3 therapy might restore IL-2 production, leading to stable disease reversal. Rapamycin, by inhibiting signal transduction delivered by IL-2, might directly interfere with this pathway, nowadays considered so crucial for maintaining immunological tolerance in NODmice. Experiments are currently ongoing to test this hypothesis.Alternative mechanisms that can explain the unique effect of rapamycin in anti-CD3–treated NODmice may be related to β-islet physiology. It has recently been demonstrated that rapamycin induces fulminant diabetes in the Psammomys obesusmouse model of nutrition-dependent type 2 diabetes by increasing insulin resistance and reducing β-cell function and mass through increased apoptosis (27). The fundamental function of mammalian target of rapamycin–signaling in β-cells, which is blocked by rapamycin, has been confirmed by others (28,29). Rapamycin might therefore have a negative effect directly on the islets rather than blocking the activity of anti-CD3 in NODmice. However, this hypothesis is in contrast to previous observations by our group (14) and others (16) in pre-diabeticNODmice wherein rapamycin monotherapy significantly protected animals from disease development. In addition, diabeticNODmice treated with rapamycin did not develop a more aggressive disease, in terms of glycemia, than untreated mice (A.V., unpublished data).An alternative hypothesis is that rapamycin interferes with β-cell proliferation, as demonstrated in specific experimental settings such as pregnancy (30) and transgenic mice (31). However, at this time, there are no data indicating that anti-CD3 leads to β-cell proliferation. Indeed, currently available data suggest the opposite: recovery of metabolic control following anti-CD3 therapy may be due to mending of β-cells that had been already present but not functional in the pancreas at the moment of hyperglycemia rather than β-cell proliferation (18,32). Future experiments will investigate the pancreata of NODmice treated with rapamycin, with or without anti-CD3, in order to further understand the mechanisms underlying its deleterious action.Rapamycin monotherapy in long-lasting type 1 diabeticpatients does not aggravate the autoimmune disease but, rather, improves the suppressive function of nTregs (15). One should therefore expect that rapamycin behaves similarly in the case of new-onset type 1 diabetes. However, the disease in early-onset type 1 diabetic subjects appears both metabolically and immunologically different from that observed in long-lasting patients, and rapamycin might have a different outcome in diverse patient populations. A clinical trial combining rapamycin and IL-2 recently began with new-onset type 1 diabeticpatients (http://www.clinicaltrials.gov/ct2/show/NCT00525889?term=rapamune+and+il-2&rank;=1). Of note, no preclinical studies demonstrating the curative potential of rapamycin–IL-2 therapy have been reported. Our data suggest caution in designing rapamycin-based combinational treatments because the addition of rapamycin to anti-CD3 therapy in early-onset diabeticNODmice completely abolished the anti-CD3 therapeutic effect.
Authors: Bart Keymeulen; Evy Vandemeulebroucke; Anette G Ziegler; Chantal Mathieu; Leonard Kaufman; Geoff Hale; Frans Gorus; Michel Goldman; Markus Walter; Sophie Candon; Liliane Schandene; Laurent Crenier; Christophe De Block; Jean-Marie Seigneurin; Pieter De Pauw; Denis Pierard; Ilse Weets; Peppy Rebello; Pru Bird; Eleanor Berrie; Mark Frewin; Herman Waldmann; Jean-François Bach; Daniel Pipeleers; Lucienne Chatenoud Journal: N Engl J Med Date: 2005-06-23 Impact factor: 91.245
Authors: Kevan C Herold; Stephen E Gitelman; Umesh Masharani; William Hagopian; Brygida Bisikirska; David Donaldson; Kristina Rother; Beverly Diamond; David M Harlan; Jeffrey A Bluestone Journal: Diabetes Date: 2005-06 Impact factor: 9.461