Objective The chronic kidney disease (CKD) is widely diagnosed on the basis of albuminuria and the glomerular filtration rate. A more precise diagnosis of CKD, however, requires the assessment of other factors. Urinary adiponectin recently attracted attention for CKD assessment, but evaluation is difficult due to the very low concentration of urinary adiponectin in normal subjects.
Research design and methods We developed an ultrasensitive ELISA coupled with thionicotinamide-adenine dinucleotide cycling to detect trace amounts of proteins, which allows us to measure urinary adiponectin at the subattomole level. We measured urinary adiponectin levels in 59 patients with diabetes mellitus (DM) and 24 subjects without DM (normal) to test our hypothesis that urinary adiponectin levels increase with progression of CKD due to DM.
Results The urinary adiponectin levels were 14.88±3.16 (ng/mg creatinine, mean±SEM) for patients with DM, and 3.06±0.33 (ng/mg creatinine) for normal subjects. The threshold between them was 4.0 ng/mg creatinine. The urinary adiponectin levels increased with an increase in the CKD risk. Furthermore, urinary adiponectin mainly formed a medium-molecular weight multimer (a hexamer) in patients with DM, whereas it formed only a low-molecular weight multimer (a trimer) in normal subjects. That is, the increase in urinary adiponectin in patients with DM led to the emergence of a medium-molecular weight form in urine.
Conclusions Our new assay showed that urinary adiponectin could be a new diagnostic index for CKD. This assay is a non-invasive test using only urine, thus reducing the patient burden.
- chronic kidney disease
- diabetes mellitus
- non-invasive test
- ultrasensitive ELISA
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Significance of this study
What is already known about this subject?
Our preliminary results of the measurement of urinary adiponectin with an ELISA that we developed suggest that the urinary adiponectin levels are higher in patients with diabetes mellitus (DM) than in normal (non-DM) subjects.
We thus hypothesized that urinary adiponectin levels tend to increase with an increase in the risk of diabetic nephropathy.
What are the new findings?
The urinary adiponectin levels increased with an increase in the chronic kidney disease (CKD) risk.
Urinary adiponectin mainly formed a medium-molecular weight multimer in patients with DM, whereas it formed only a low-molecular weight multimer in normal subjects.
How might these results change the focus of research or clinical practice?
Urinary adiponectin can be a new diagnostic index for CKD.
Our assay is a non-invasive test using only urine, thus reducing the patient burden.
Chronic kidney disease (CKD) is mainly caused by diabetes mellitus (DM) and hypertension, which alter the function and structure of the kidney over the long term.1 According to international guidelines, CKD is defined as meeting at least one of the following two criteria for at least 3 months2–4: (A) estimated glomerular filtration rate (eGFR) less than 60 mL/min per 1.73 m2, and (B) presence of marker (one or more) of kidney damage, for example, albuminuria (albumin-to-creatinine ratio (ACR) ≥30 mg/g). This CKD classification system offers the advantage that the categories determined by this system reflect a patient’s risk of multiple adverse outcomes, and it is therefore a useful and simple tool for determining risk stratification in clinical practice.5 The Work Group in the National Kidney Foundation in the USA, however, has pointed out a number of limitations to the current definition and classification of CKD6; the known markers of kidney damage are not sensitive and the association of the eGFR with complications of CKD is not necessarily causal. A new diagnostic index for CKD is long overdue.
Adiponectin is an adipocyte-derived vasoactive peptide with anti-inflammatory and insulin-sensitizing peptides, as well as cardioprotective effects on endothelial cells, and is increased in obesity and DM.7 8 Serum adiponectin is believed to enhance insulin sensitivity, and individuals with obesity, type 2 DM, and other metabolic disorders often have low serum adiponectin levels.9 10 In contrast to the serum levels, our preliminary results of the measurement of urinary adiponectin with an ultrasensitive ELISA that we developed suggest that the urinary adiponectin levels are higher in patients with DM than in normal (non-DM) subjects.11 We thus hypothesized that urinary adiponectin levels tend to increase with an increase in the risk of diabetic nephropathy.
Recent studies demonstrated the validity of urinary adiponectin as a marker of the progression of focal segmental glomerulosclerosis,12 albuminuria,13 incident cardiovascular disease, and renal function deterioration,14 as well as diabetic nephropathy.15–19 The sensitivity of commercially available ELISA kits,16 17 however, is insufficient for the measurement of the low level of urinary adiponectin in normal subjects,20 and radioimmunoassay15 and more complicated ELISAs19 are not practical for application in most clinics and hospitals. Using our ultrasensitive ELISA, however, which only requires an ordinary microplate reader and no special apparatus, we could sufficiently detect the low urinary adiponectin levels in normal subjects.11 More recently, some research groups have also noticed the relationship between adiponectin levels and diabetic nephropathy.21 In particular, Christou and Kiortsis have discussed the renal elimination of adiponectin.22
In the present study, we measured the urinary adiponectin levels in 59 patients with DM and 24 normal subjects with our ultrasensitive ELISA, and compared the data with the conventional CKD classification using eGFR and ACR. Our results suggest that urinary adiponectin could be used as a new diagnostic index for CKD.
Research design and methods
All the authors ensure that the planning, conduct, and reporting of human research are in accordance with the Helsinki Declaration as revised in 2013. The present study was approved by the ethics committees at Waseda University, Tokushima Bunri University, and Kagawa University. The studies dealing with human samples were performed at these three universities, and thus the authors from the other universities visited these three universities for the experiments, or analyzed the data and wrote the manuscript at their own universities. Urine was collected from 59 patients with DM and 24 normal subjects (ie, subjects that did not have DM or hypertension). The mean age for 59 patients with DM was 68.6±1.4 (mean±SEM), and that for 24 normal subjects was 33.3±2.2. Sera were collected from 58 patients with DM and six normal subjects (see online supplementary tables 1 and 2). The mean age for 58 patients with DM was 68.5±1.4, and that for six normal subjects was 24.0±0.9. The normal subjects were confirmed not to have DM or hypertension based on a medical examination conducted at their workplace. All the samples were collected in the Kagawa area in Japan. Table 1 shows the conventional CKD classification using the eGFR and albuminuria (ie, ACR) for the patients with DM. In addition, urine samples used for western blotting to test the effects of exercise were collected from three normal subjects in the Tokyo area independent of the above-mentioned Kagawa area subjects.
Ultrasensitive ELISA for detection of urinary and serum adiponectin
An ultrasensitive ELISA coupled with thionicotinamide-adenine dinucleotide (thio-NAD) cycling was originally developed by Watabe and Ito.11 23–26 Shortly, a sandwich method using a primary and a secondary antibody for antigens is employed in an ELISA. An androsterone derivative, 3α-hydroxysteroid, is produced by the hydrolysis of 3α-hydroxysteroid 3-phosphate with alkaline phosphatase (ALP, EC 18.104.22.168) linked to the secondary antibody. This 3α-hydroxysteroid is oxidized to a 3-ketosteroid by 3α-hydroxysteroid dehydrogenase (3α-HSD, EC 22.214.171.124) with a cofactor thio-NAD. By the opposite reaction, the 3-ketosteroid is reduced to a 3α-hydroxysteroid by 3α-HSD with a cofactor NADH. During this cycling reaction, thio-NADH accumulates in a triangular number fashion. Accumulated thio-NADH can be measured directly at an absorbance of 405 nm without any interference from other cofactors.23
The measurement methods for adiponectin were slightly modified from the previous studies.11 The antigen used was a recombinant human adiponectin derived from a human adiponectin oligomers/Acrp30 quantitative ELISA kit (Cat No DHWAD0; R&D Systems, Minneapolis, MN, USA). The ELISA part is a sandwich ELISA in which the primary and secondary antibodies for anti-adiponectin were the human adiponectin/Acrp30 monoclonal antibodies (Cat No MAB10651-500 and MAB1065-500, respectively; R&D Systems). The second antibody was linked with ALP (origin from calf intestine, recombinant by Pichia pastoris; Cat No 03359123001; Roche, Mannheim, Germany). As the primary substrate, we used 17β-methoxy-5β-androstan-3α-ol 3-phosphate synthetized from 5β-androsterone.23 In the thio-NAD cycling part, 3α-HSD kindly gifted from TAUNS (Izunokuni, Shizuoka, Japan) was used. Thio-NAD was purchased from Oriental Yeast (Cat No 44101900; Tokyo, Japan) and NADH was purchased from Roche.
A 100 µL solution of primary antibody, which was adjusted to 2 µg/mL in 50 mM Na2CO3 (pH 9.6), was added to wells of microplates and incubated for 1 hour at room temperature. The microplates were incubated with 1% bovine serum albumin (BSA) in Tris-buffered saline (TBS) for 1 hour at room temperature. The 100 µL sample of urine or serum was added to each well and incubated for 1 hour at 37°C. Here, the samples of urine and serum were diluted with TBS including 0.1% BSA. This dilution was taken account when approximating the sensitivity according to the results of the spike-and-recovery tests (see online supplementary data). Then, a 100 µL solution of secondary antibody, which was conjugated with ALP and adjusted to 10 pmol/mL in TBS including 0.05% Tween 20% and 0.1% BSA, was added to the wells. To amplify the ELISA signals, a 100 µL solution of thio-NAD cycling was added to the wells. This solution contained 1.0 mM NADH, 2.0 mM thio-NAD, 0.15 mM 17β-methoxy-5β-androstan-3α-ol 3-phosphate, and 10 U/mL 3α-HSD in 100 mM Tris-HCl (pH 9.5). The detectable signal (ie, thio-NADH) accumulated in a triangulated manner during the cycling reaction within a short measurement time, and was measured with a grating microplate reader at 405 nm.
To analyze multimers of urinary adiponectin, we first concentrated the adiponectin in urine. Ammonium sulfate was added to the urine sample to a concentration of 50%. The sample was centrifuged at 25 000×g for 30 min at 4°C, and the precipitate was diluted with 3 mL of 1×TBS. This diluted precipitation was placed in a dialysis bag and dialyzed in more than 75 mL of 1×TBS. The sample was then incubated in the buffer overnight at 4°C. After centrifugation at 2000 rpm (330×g) for 3 min, the supernatant was collected. This collected sample, which was again placed in a dialysis bag, was set in a glass bottle with a negative pressure of 93 kPa (=70 cmHg) and kept overnight at 4°C. The sample was diluted with a 2 mL 1×TBS.
Sodium dodecyl sulfate-polyacrylamide gel electrophoresis was performed using a commercial gel (Mini-PROTEAN TGM precast gels, Bio-Rad Laboratories, Hercules, CA, USA). The membrane transfer was performed using a semidry system. The blotted membrane was blocked with 1% BSA solution, and the membrane was probed with a primary antibody. We used antiadiponectin antibody of clone 166126 (R&D Systems), except in the exercise experiments. For the exercise experiments, we used two different antiadiponectin antibodies: clone 166128 (R&D Systems), which was the same as the secondary antibody for the ultrasensitive ELISA; and antiadiponectin antibody [19F1] ab22554 (Abcam, Cambridge, UK). These antibodies were applied to the membrane at a 1:1000 dilution. The membrane was incubated with one of these antibodies for 1 hour at room temperature. The membrane was incubated with the secondary antibody (horseradish peroxidase-conjugated anti-mouse antibody, Dako, Agilent Technologies, Santa Clara, CA, USA) at a 1:4000 dilution for 1 hour at room temperature. Then, the membrane was incubated with a DAB Substrate Kit (SK-4100, Vector Laboratories, Burlingame, CA, USA) for 10 min at room temperature. The membrane was viewed with a chemiluminescence detection apparatus.
Other biochemical measurements
Urinary creatinine was measured using a creatinine assay kit (K625-100; BioVision, Milpitas, CA, USA). Other biochemical data were analyzed in the Clinical Laboratory in Kagawa University Hospital and in the Laboratory of Medical Pharmacy in Kagawa School of Pharmaceutical Sciences, Tokushima Bunri University.
To examine changes in the amount and type of multimers of urinary adiponectin induced by exercise, urine samples were collected from three normal subjects before and after an anaerobic exercise and an aerobic exercise. The anaerobic exercise included bench press exercise (3 sets of 6 repetitions), crunch exercise (3 sets of 30 repetitions), chinning exercise (3 sets of 6 repetitions), arm curl exercise (3 sets of 6 repetitions), and leg press exercise (3 sets of 6 repetitions). The total time for the anaerobic exercise was 1 hour. The aerobic exercise was jogging at 6 km/hour for 30 min. The urine samples were used to evaluate both the amount of change by the ultrasensitive ELISA and the multimer change by western blotting.
Data are expressed as mean±SEM. Significant differences at p<0.05 were evaluated by paired t-test, Mann-Whitney U test, two-way analysis of variance, or the Kruskal-Wallis test as appropriate. We also used the Tukey test or Scheffé test for multiple comparisons. The limit of detection was estimated from the mean of the blank, the SD of the blank, and a confidence factor of 3. The limit of quantification was estimated by the same method as used for the limit of detection, but with a confidence factor of 10.
Calibration curves, limit of detection, limit of quantification, and coefficient of variation for adiponectin standard
When we used a human high-molecular weight (HMW) adiponectin (Cat No DHWAD0; R&D Systems) as the reference, the ultrasensitive ELISA coupled with thio-NAD cycling in TBS yielded a linear calibration curve (y=0.0046x+0.016, R2=0.99) in the range of 5–100 pg/mL (figure 1A). This curve was obtained from the absorbance of the accumulated thio-NADH at a cycling reaction time of 30 min. The limit of detection was 0.81 pg/mL, corresponding to ca 2.7×10−19 moles/assay, and the limit of quantification was 2.7 pg/mL, corresponding to ca 9.0×10−19 moles/assay. The molecular mass was assumed to be 300 kDa and a single assay contained 100 µL of solution. These values were apparently more sensitive than those of commercially available kits for human adiponectin (eg, Invitrogen kit: BMS2032-2 and BioVendor high sensitivity kit: RD191023100). This point is very important because urinary adiponectin levels in normal subjects are very low compared with those of patients with DM.11 To our knowledge, only our ultrasensitive ELISA, radioimmunoassay, and the other complicated ELISAs have been used to evaluate urinary adiponectin levels in normal subjects.11 15 19 The coefficient of variation in our system was 2% for 0.1 ng/mL adiponectin standard.
Adiponectin levels in urine and serum
We measured concentrations of adiponectin and creatinine in urine collected from patients with DM and normal subjects, and expressed the urinary adiponectin levels relative to creatinine (ng/mg creatinine; figure 1B–D). The urinary adiponectin levels were 14.88±3.16 (ng/mg creatinine, n=59) for patients with DM, and 3.06±0.33 (ng/mg creatinine, n=24) for normal subjects. Thus, the urinary adiponectin levels were higher in patients with DM (Mann-Whitney U test, p<0.01) than in normal subjects, and the threshold for discriminating between normal subjects and patients with DM, which was set as 4.0 ng/mg creatinine in our previous study,11 was confirmed. The serum adiponectin concentrations of patients with DM ranged from 1.29 to 22.30 µg/mL (mean 7.18 µg/mL) and those of normal subjects ranged from 4.91 to 10.04 µg/mL (mean 7.71 µg/mL), and did not differ significantly between patients with DM and normal subjects (Mann-Whitney U test, p>0.05; figure 1E,F).
Relationship among urinary adiponectin level, conventional CKD classification, eGFR, and ACR
According to the conventional CKD classification, 17 patients with DM in the present study were classified as normal; 9 patients were classified as low risk; 11 patients were classified as middle risk; and 22 patients were classified as high risk (table 1). The relationship between the urinary adiponectin levels and the conventional CKD classification showed that the urinary adiponectin level increased with progression of the CKD classification (Kruskal-Wallis test, p<0.01, figure 2A). The urinary adiponectin level was not correlated with eGFR in patients with DM (figure 2B). The urinary adiponectin level was positively correlated with ACR in patients with DM (R2=0.85, p<0.01, figure 2C). The responsiveness of urinary adiponectin levels was much better than that of ACR, indicating the urinary adiponectin level is a reliable indicator of proteinuria. We found no correlation between eGFR and ACR in the patients with DM (figure 2D).
Change in urinary adiponectin level by time or by exercise
The samples used for the data shown in figures 1 and 2 were collected from patients with DM and normal subjects irrespective of the time of collection and the presence or absence of exercise before collection. To examine the first point, urine was collected from three normal subjects every 4 hours (eg, 08:00, 12:00, 16:00, and 20:00) in 1 day. We detected no significant difference in urinary adiponectin levels depending on the time of day the sample was collected (see online supplementary figure 1). On the other hand, we investigated whether urinary adiponectin levels change after exercise (figure 3A,B). Urine was collected from three normal subjects before and after performing anaerobic exercise and aerobic exercise. The urinary adiponectin levels were significantly higher after anaerobic exercise than before it (n=3, paired t-test, p<0.05, figure 3A), whereas there was no significant difference between before and after aerobic exercise (n=3, paired t-test, p>0.05, figure 3B). Thus, even in normal subjects, urinary adiponectin levels exceed the threshold of 4.0 ng/mg creatinine after anaerobic exercise. Patients with DM, however, are not likely to have performed anaerobic exercise before going to the hospital.
Western blotting to examine multimers
In blood, adiponectin (monomer=28 kDa) exists in three multimer forms: a trimer (low-molecular weight (LMW), molecular mass 84 kDa), a hexamer (trimer-dimer) of medium-molecular weight (MMW, 168 kDa), or a larger multimeric HMW (>300 kDa) form.27–30 There are two reports about the relationship between DM and adiponectin multimers in the blood. One report showed that mutations of human adiponectin related to DM are associated with impaired multimerization, consequent impaired secretion, and impaired adiponectin activity.29 The other report showed that an increase in the ratio of the HMW form to total adiponectin correlates with an improvement in insulin sensitivity induced by a peroxisome proliferator-activated receptor-γ agonist (thiazolidinedione) treatment.31
We thus examined the adiponectin multimers in the urine to evaluate possible differences between patients with DM and normal subjects. When using urine of a patient with DM (No 33; see online supplementary table 1), we observed three adiponectin-related bands in western blotting (figure 3C). The main band was seen at MMW, which was a hexamer, and two weak bands were seen at LMW and HMW, which were a trimer and a large multimer, respectively (figure 3C). In the same western blotting data, we also visualized the LMW and MMW bands using an antigen that was used as the reference for the calibration curve for the ultrasensitive ELISA (figure 3C). Even though we could not observe a band for the HMW adiponectin in the antigen data, we confirmed that the ultrasensitive ELISA for urinary adiponectin measured the change in MMW during DM progression (figures 1 and 2).
In contrast, the bands were hardly observed in the western blotting data using the urine of normal subjects (figure 3D). As expected based on the ultrasensitive ELISA data for anaerobic exercise-induced changes in urinary adiponectin levels (figure 3A), LMW bands appeared in the normal subject urine samples after anaerobic exercise (figure 3D). Furthermore, the urinary adiponectin level in one normal subject also changed after aerobic exercise (figure 3B). We thus used western blotting to evaluate the urine sample of this normal subject and found that the urinary LMW adiponectin was present even before the aerobic exercise (figure 3D). Taken together, the LMW adiponectin sometimes appears in the urine of normal subjects, but if this adiponectin maintains the LMW form in urine, nephropathy is not a concern.
The findings of the present study demonstrated that urinary adiponectin could be a new diagnostic index for assessing CKD due to diabetic nephropathy. Progression of the CKD classification positively correlated with the urinary adiponectin level. Urinary adiponectin levels are more stable and reliable than ACR (ie, urinary albumin levels), which are used in the conventional CKD classification system. Our ultrasensitive ELISA coupled with thio-NAD cycling enables us to measure trace levels of urinary adiponectin in normal subjects. These results show that our ultrasensitive ELISA can be used to measure urinary adiponectin levels to distinguish between normal subjects and patients with DM and to estimate the progression of diabetic nephropathy. The higher urinary adiponectin levels in patients with DM are excreted as MMW adiponectin in urine. The MMW form is not detected in the urine of normal subjects; normal subjects excrete LMW adiponectin in their urine after anaerobic exercise.
These findings raise two questions. One is whether multimers of adiponectin can pass the glomerular filtration barrier (ie, leakage from glomeruli). In general, trace amounts of albumin (66 kDa) and hemoglobin (64 kDa) are filtered out, but larger molecular weight proteins are hardly filtered out.32 We thus consider that only LMW adiponectin (84 kDa) can pass the glomeruli filter, and the MMW and HMW forms cannot. Our results support this notion because LMW adiponectin is excreted in normal subjects after anaerobic exercise (figure 3D). In other words, the urinary LMW adiponectin passes through the glomeruli filter at least in normal subjects. In contrast, the western blotting data showed that the LMW, MMW (168 kDa), and HMW (>300 kDa) forms were detected in the urine samples of patients with DM (figure 3C). At present, we do not know why MMW and HMW adiponectin appears in the urine of patients with DM. The filtration function of a glomerular basement membrane is controlled by different barrier types. One is a size barrier as described above, and the other is a charge barrier.33
As described earlier, thiazolidinediones (ie, peroxisome proliferator-activated receptor-γ agonists) and sodium/glucose cotranspoter-2 (SGLT2) inhibitors are known to increase HMW adiponectin in serum.31 34–36 In the present studies, we used thiazolidinediones and SGLT2 inhibitors to some of the patients with DM examined (online supplementary table 1). However, these drugs were not administered to the patient No 33 examined in figure 3C. That is, the multimers of urinary adiponectin were not caused by thiazolidinediones or SGLT2 inhibitors.
Another question is why adiponectin is a more reliable marker compared with albumin. Albumin is a 66 kDa protein that can easily pass the glomeruli filter with collapse of the filtration function or during physical exercise. For albuminuria (ie, measurement of albumin), a urine sample must be collected in an early morning, because it appears to be the most reliable for screening with high sensitivity and high specificity.37 However, our present results showed that the adiponectin measurement does not depend on the time of urine sampling. Further, to our knowledge, there are no multimer forms of albumin in urine. Therefore, an increased concentration of adiponectin multimers, but not of albumin monomers, reflects an increase in the CKD risk. Furthermore, urinary adiponectin levels seem stable (figure 2). Although the levels are stable, this does not suggest that the responsiveness of urinary adiponectin levels is poor, because we demonstrated a positive correlation between CKD classification and urinary adiponectin levels. We thus conclude that the emergence of MMW adiponectin in urine and increases in its levels are a good marker for diabetes nephropathy.
The potential cost of the present method would be suppressed at the same level as the conventional methods used for diagnosis of diabetes nephropathy. Instead of a microplate reader for measuring the absorbance of thio-NADH, we are now developing a dedicated apparatus for our ultrasensitive ELISA. In this apparatus, we use a disposable cartridge that includes the antibodies for a target protein and the reaction solutions. If the cut-off value of urinary adiponectin levels could be set at 4.0 ng/mg creatinine, we would further suppress the cost. We think that our method can replace the conventional methods.
In conclusion, we developed an ultrasensitive ELISA, and measured urinary adiponectin levels in patients with DM and normal subjects. The urinary adiponectin levels in patients with DM were higher than normal subjects. This conclusion will be further confirmed by an increase in the number of subjects examined. The urinary adiponectin levels increased with an increase in the CKD risk. Urinary adiponectin formed MMW and HMW multimers in patients with DM, whereas it formed only an LMW multimer in normal subjects. Our new assay showed that urinary adiponectin could be a new diagnostic index for CKD.
SY and HC contributed equally.
Contributors KN, SW, KM, and EI designed the study. SY, HC, MI, MM, YHJ, KS, HT, MK, AN, MN, HI, TA, TY, KM, JHC, SMC, YCS, MJZ, LYK, and CHC collected and analyzed the data. TY, TM, and EI interpreted and analyzed the data. SY, HC, KM, TY, TM and EI wrote the manuscript. EI is the guarantor of this work and, as such, had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Funding This work was supported by a Grant for the Development of Systems and Technology for Advanced Measurement and Analysis from JST, a grant for the Regional Innovation Strategy Support Program from MEXT, Waseda University Grants for Specific Research Projects (2017A-015, 2019C-123) and the Precise Measurement Technology Promotion Foundation to EI.
Competing interests MM, YHJ, KS, KN, and SW are employees of TAUNS Laboratories.
Patient consent for publication Not required.
Ethics approval The study was approved by the ethics committees at Waseda University, Tokushima Bunri University, and Kagawa University.
Provenance and peer review Not commissioned; externally peer reviewed.
Data availability statement All data relevant to the study are included in the article or uploaded as supplementary information.
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