Research Article

Clinical Observation of Adding Vitamin D to a Probucol-Based Regimen in Diabetic Nephropathy Patients

DOI:

10.3791/70901

July 3rd, 2026

In This Article

Summary

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This retrospective study evaluated vitamin D added to valsartan, atorvastatin, and probucol therapy in 150 patients with stage III diabetic nephropathy over 8 months. Patients receiving vitamin D showed greater improvements in renal function, metabolic parameters, immune markers, and inflammatory indicators than patients receiving standard therapy alone.

Abstract

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This study aimed to investigate the therapeutic efficacy of vitamin D as an adjunct to probucol-based triple therapy (valsartan + atorvastatin + probucol) in patients with diabetic nephropathy (DN) and to evaluate its impact on immune function. A total of 150 DN patients (Mogensen stage III) were retrospectively enrolled from July 2022 to May 2024. Based on the different medication regimens received in clinical practice, they were divided into a control group (n = 56) receiving triple therapy (valsartan + atorvastatin + probucol) and an observation group (n = 94) receiving quadruple therapy (triple therapy + vitamin D). Group assignment was determined by the actual treatment administered, not by randomization. Both groups received daily insulin infusions concurrently for 8 months. Clinical parameters, including renal function (SCr, 24 h UPE, UAlb/UCR), glucose and lipid profiles, immune markers (CD3+, CD4+ cells, CD4+/CD8+ ratio), and inflammatory factors (hs-CRP, IL-6, TNF-α, MCP-1), were assessed pre- and post-treatment. Results demonstrated that the observation group showed significantly greater improvements in renal function, glycemic control, lipid profiles, and immune modulation (elevated proportions of CD3+ and CD4+, a higher CD4+/CD8+ ratio, and reduced inflammatory markers) compared with the control group (all P <0.05). Regarding clinical discharge, the observation group showed a higher rate (45.74% vs. 39.29%), but this difference was not statistically significant (χ2 = 0.596, P = 0.440). In conclusion, the addition of vitamin D was associated with greater clinical benefits than probucol-based triple therapy alone in this retrospective cohort of DN patients, including improvements in renal function, glucose and lipid profiles, and immune function indicators. These findings suggest that vitamin D may be a promising adjunctive agent for managing DN, but further prospective randomized controlled trials are needed to confirm causality.

Introduction

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Diabetic Nephropathy (DN), a highly severe microvascular issue in diabetes, is now the leading contributor to renal failure globally1. As diabetes cases rise, more focus has been given to managing and addressing DN2. However, despite advancements in DN treatment, patient outcomes remain unfavorable, significantly impacting their well-being and imposing a heavy financial toll. Therefore, discovering more effective therapies to halt DN progression and minimize ESRD incidence holds crucial clinical and societal importance3,4.

DN arises and progresses through multiple intricate processes, encompassing glucose dysregulation, oxidative damage, inflammatory reactions, and blood flow irregularities5. These mechanisms interact to promote kidney injury and fibrosis. At present, the treatment of DN mainly includes the control of blood glucose, blood pressure, and lipid, and the application of ACEI or ARB to delay the progression of the disease6,7. However, the effectiveness of these treatments is limited, and patients often end up with ESRD, requiring dialysis or kidney transplantation8.

In recent years, vitamin D's role in DN management has gained attention. It's a fat-soluble nutrient crucial for calcium and phosphorus balance, cell growth and specialization, and immune function9. Research indicates a strong link between vitamin D deficiency and diabetic microvessel damage. Vitamin D safeguards kidney health through multiple mechanisms, such as improving insulin resistance, inhibiting inflammatory response, reducing oxidative stress, and regulating the RAS10. In addition, vitamin D can reduce proteinuria and prevent podocyte damage, thereby delaying the progression of DN. Therefore, vitamin D supplementation may become a new strategy for DN treatment11. Probucol is an antioxidant that counters oxidative stress primarily by inhibiting fatty acid oxidation and decreasing radical formation12. In DN, oxidative stress contributes significantly to kidney damage. Research indicates probucol effectively lowers proteinuria levels and enhances renal function among those with the condition13. Furthermore, probucol also has the effects of regulating blood lipids and inhibiting atherosclerosis, which further supports its application in the treatment of DN14.

Beyond the local renal mechanisms, recent systems-level studies have highlighted that oxidative stress and inflammatory signaling play a central role in neuroinflammatory and peripheral neuropathic processes, particularly in metabolic and vascular diseases15. Integrative analyses of redox signaling and nitric oxide‑ROS interactions further provide a mechanistic framework linking endothelial dysfunction, oxidative imbalance, and organ injury across cardiovascular and neurological disorders16. Moreover, hypothalamic involvement in stress‑related neuroinflammation and neuroendocrine regulation may influence systemic metabolic homeostasis and renal outcomes17. These broader perspectives support the rationale that targeting inflammation and oxidative stress, as we do with vitamin D and probucol, could have multi‑system benefits extending beyond the kidney, especially in diabetic patients with complex comorbidities18.

In conclusion, both vitamin D and probucol are effective for DN management, and their combination may achieve an ideal therapeutic effect. Therefore, investigating the use of vitamin D and probucol together to achieve synergy has gained traction in DN treatment research. Both vitamin D and probucol complement each other in their modes of action, and the combined application may further enhance the effects of anti-oxidative stress, anti-inflammatory, and regulation of immune response, to protect kidney function more comprehensively19. In addition, vitamin D may reduce inflammation in DN patients by regulating immune function, thereby further improving prognosis. Studies have shown that DN patients have immune dysfunction, which is manifested by an imbalance of T cell subsets and abnormal cytokine levels20,21. These immune disorders not only participate in the process of kidney injury but also may affect the patient's response to treatment and prognosis22. Therefore, assessing immune function indicators is crucial for guiding DN management.

Given the limited direct evidence for the combination of vitamin D and probucol in DN, the present study was designed to explore whether this combined regimen offers additional clinical benefits and immunomodulatory effects compared to triple therapy alone. Using meticulous experimental design and scientific analytical techniques, this study will thoroughly investigate the therapeutic benefits of vitamin D combined with probucol in DN patients and its effects on immune function markers. In line with the above background, the present study selected valsartan (an ARB) to control blood pressure and delay renal progression, atorvastatin to manage dyslipidemia, and insulin for glycemic control as the foundational regimen. Probucol was added as an antioxidant to target oxidative stress, a key mechanism in DN progression. Vitamin D was further supplemented in the observation group due to its emerging role in immunomodulation and renoprotection. Accordingly, the control group received triple therapy (valsartan + atorvastatin + probucol), while the observation group received quadruple therapy (valsartan + atorvastatin + probucol + vitamin D). Both groups received daily insulin infusion throughout the 8-month treatment period. After treatment, changes in renal function, blood glucose and lipid levels, immune cell subsets, and inflammatory indices were observed in both groups. The clinical significance of vitamin D paired with probucol for DN management was assessed by contrasting therapeutic outcomes. Its objective is to introduce innovative strategies for DN therapy, offering patients more efficacious treatment options, enhancing their quality of life, and alleviating medical expenses.

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Protocol

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This study was approved by the Ethics Committee of the Hebei General Hospital (Approval No.: 2025-LW-0265). Due to the retrospective nature of the study, ethics approval was obtained after the data collection period, which was permitted by the committee for non-interventional studies using anonymized clinical data. The requirement for written informed consent was waived.

Participant selection
Potential participants were recruited from the Department of Nephrology at Hebei General Hospital between July 2022 and May 2024. All patients were screened according to predefined inclusion and exclusion criteria.

The inclusion criteria were as follows: diagnosis of diabetic nephropathy (DN) at Mogensen stage III23, defined as persistent albuminuria with a urinary albumin-to-creatinine ratio (UAlb/UCR) of 30–300 mg/g in at least two of three spot urine samples collected over 3–6 months, without hematuria or rapidly declining renal function suggestive of non-diabetic kidney disease; estimated glomerular filtration rate (eGFR) ≥45 mL/min/1.73 m2 calculated using the CKD-EPI equation; first-time diagnosis of DN with no prior vitamin D, probucol, or immunosuppressant therapy for DN; age <75 years; and clinically stable condition without acute diabetic complications such as diabetic ketoacidosis or hyperglycemic hyperosmolar state, or active serious infections within 4 weeks before enrollment. Kidney biopsy was not required for enrollment; however, patients with suspected non-diabetic kidney disease, including active urine sediment, rapidly progressive glomerulonephritis, or systemic autoimmune disease, were excluded.

The exclusion criteria included serious systemic diseases such as malignancies, severe cardiovascular disease, or autoimmune diseases; known allergy to vitamin D, probucol, valsartan, atorvastatin, or insulin; pregnancy or lactation; and recent use of medications within 4 weeks that could interfere with study outcomes, including immunosuppressants or corticosteroids.

Group allocation
The screening physician remained blinded to final group allocation until eligibility confirmation.

Baseline demographic and clinical characteristics, including age, sex, duration of diabetes and DN, and history of hypertension or hyperlipidemia, were recorded.

This study used a retrospective, non-randomized controlled design. To minimize selection bias and address potential confounding factors, including temporal changes and physician-related variability, group allocation was based on chronological admission order rather than physician or patient preference.

Patients admitted between July 2022, and December 2023 received standard triple therapy consisting of valsartan, atorvastatin, and probucol and were assigned to the control group (n = 56). Patients admitted between January 2024 and May 2024 who received quadruple therapy (valsartan, atorvastatin, probucol, and vitamin D) were assigned to the observation group (n = 94).

The larger number of patients in the observation group reflected increased clinical application of adjunctive vitamin D therapy at the study center beginning in early 2024, following emerging evidence. Baseline demographic and clinical characteristics were comparable between groups (Table 1; P>0.05), and no significant changes in diagnostic criteria, laboratory methods, or physician team composition occurred during the study period.

Treatment regimen administration
All participants received a standardized daily subcutaneous insulin infusion regimen for glycemic control throughout the 8-month study period. Insulin dosage was adjusted individually according to daily capillary blood glucose monitoring. Patients in the control group received valsartan (80 mg once daily on an empty stomach), atorvastatin (20 mg once daily), and probucol (250 mg twice daily) for 8 months. Patients in the observation group received the same valsartan, atorvastatin, and probucol regimen with identical dosages and schedules, together with daily oral vitamin D supplementation.

Vitamin D dosage was determined according to baseline serum 25-hydroxyvitamin D [25(OH)D] levels measured at enrollment using electrochemiluminescence immunoassay (ECLIA). Vitamin D sufficiency was defined as 25(OH)D ≥30 ng/mL, insufficiency as 20 ng/mL ≤25(OH)D <30 ng/mL, and deficiency as 25(OH)D <20 ng/mL. Patients receiving supplementation to prevent deficiency received 600–800 IU/day, whereas patients with established vitamin D insufficiency or deficiency received 2000 IU/day.

Safety monitoring and stopping criteria
To ensure participant safety during the 8-month treatment period, serum calcium, phosphorus, and parathyroid hormone (PTH) levels were measured at baseline and every 4 weeks to monitor vitamin D-induced hypercalcemia and calcium-phosphorus imbalance. A 12-lead electrocardiogram (ECG) was performed at baseline and after 8 months to assess QTc interval prolongation associated with probucol. In patients with baseline QTc ≥450 ms in men or ≥460 ms in women, the ECG was repeated at month 1.

Renal function parameters, including serum creatinine and eGFR, together with serum electrolytes, were monitored biweekly during the first month and monthly thereafter. Participants were instructed to report new symptoms immediately. Treatment discontinuation criteria included corrected serum calcium >10.5 mg/dL (2.62 mmol/L) confirmed by repeat testing within 48 h; QTc interval >500 ms or increase >60 ms from baseline on two consecutive ECGs; doubling of serum creatinine from baseline or development of acute kidney injury according to Kidney Disease: Improving Global Outcomes (KDIGO) criteria; and any grade ≥3 adverse event according to Common Terminology Criteria for Adverse Events (CTCAE) considered possibly, probably, or definitely related to vitamin D or probucol. Serious adverse events were reported to the hospital ethics committee within 24 h.

Biological sample collection and processing
Blood and urine samples were collected before treatment initiation and after completion of the 8-month treatment period. All samples were collected in the morning after an overnight fast of 8–12 h. Approximately 20 mL of venous blood was collected using standard phlebotomy techniques into serum-separator and EDTA tubes. Blood samples were allowed to clot at room temperature for 30 min and centrifuged at 1000 × g for 15 min at 4 °C. Clear serum supernatants were carefully aspirated without disturbing the clot or buffy coat, aliquoted into cryovials for different assays, labeled with participant ID, date, and sample type, and stored at −80 °C until analysis. Serum samples could be stored at −80 °C for up to 12 months.

For 24 h urinary protein excretion (24 h UPE), participants discarded the first morning urine sample at 7:00 AM on day 1 and subsequently collected all urine, including the first morning urine sample at 7:00 AM on day 2, into a provided collection container. Participants were instructed to refrigerate the collection container during the collection period. The total urine volume was recorded, thoroughly mixed, and aliquoted for laboratory analysis. Samples were stored at 4 °C when analyzed within 24 h or at −20 °C for later analysis.

For urinary albumin-to-creatinine ratio (UAlb/UCR), first-morning midstream urine samples were collected in sterile containers and processed similarly. The same procedures were repeated after completion of the 8-month treatment period.

Biochemical and clinical parameter analysis
Frozen serum samples were thawed on ice or at 4 °C before serum creatinine (SCr) analysis. SCr was measured using an enzymatic colorimetric assay on an automated biochemical analyzer, according to the manufacturer's instructions. Daily calibration was performed using multi-level calibrators, and two levels of commercial quality-control materials were included in each batch. Samples were analyzed in duplicate, and assays with a coefficient of variation >5% were repeated. The lower detection limit for SCr was 2.0 µmol/L.

Protein concentration in 24 h urine aliquots was measured using the pyrogallol red-molybdate method. Samples were analyzed in duplicate, and quality-control materials were included in each run. Samples above the calibration range (>3.0 g/L) were diluted with normal saline and reassessed. The 24 h UPE was calculated using urinary protein concentration and total urine volume.

Urinary albumin and creatinine concentrations in first-morning urine samples were measured using the biochemical analyzer, and the UAlb/UCR ratio was subsequently calculated.

Fasting plasma glucose (FPG) and 2 h postprandial glucose (2h-PPG) were measured using a validated blood glucose meter and capillary finger-prick blood samples, according to the manufacturer's instructions.

Glycated hemoglobin (HbA1c) was analyzed using high-performance liquid chromatography with a dedicated HbA1c analysis system. Participants were instructed to avoid lipid-lowering medications for 7 days and high-fat meals or alcohol for 24 h before post-treatment blood collection. Serum total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured using enzymatic assays. Two-level quality-control materials were analyzed daily. Lipid parameters were initially measured in singlicate, and samples with a coefficient of variation >10% were reassessed in duplicate. Detection limits were 0.1 mmol/L for TC, 0.05 mmol/L for TG, 0.08 mmol/L for HDL-C, and 0.10 mmol/L for LDL-C. LDL-C values were determined by direct assay or by the Friedewald equation when triglyceride levels were <400 mg/dL.

Immune function and inflammatory marker analysis
Serum immunoglobulin G (IgG) concentrations were measured using a commercial human IgG ELISA kit. The assay detection range was 1.37–1000 ng/mL, the sensitivity was 0.52 ng/mL, the intra-assay coefficient of variation was <6%, and the inter-assay coefficient of variation was <9%. All samples were analyzed in duplicate, and high and low-quality-control materials supplied with the kit were included on each plate. Plates with QC values outside 2 standard deviations from target values were rejected and repeated. Samples above the upper standard limit were diluted 1:2 and reassessed.

All reagents and serum samples were equilibrated to room temperature before analysis. Serum samples were diluted according to kit instructions, typically at 1:100,000 dilution. Standards, diluted samples, and blanks (100 µL) were added to appropriate wells of pre-coated microplates and incubated at 37 °C for 90 min. Wells were washed three times before incubation with biotinylated detection antibody for 60 min at 37 °C. Following additional washing, horseradish peroxidase conjugate was added and incubated for 30 min in the dark. After washing, the substrate solution was added, and the mixture was incubated in the dark for 15 min before the stop solution was added. Optical density was measured at 450 nm with reference wavelengths of 570 nm or 630 nm. Standard curves were generated to calculate IgG concentrations.

Lymphocyte subsets were analyzed by flow cytometry on a BD FACSCanto II equipped with 488 nm and 640 nm lasers. Forward scatter voltage was set to 300 V, side scatter to 350 V, and photomultiplier tube voltages for FITC, APC, and PE channels to 400 V, 550 V, and 480 V, respectively. Doublets were excluded using FSC-A versus FSC-H gating.

Viability staining was performed using 7-aminoactinomycin D (7-AAD), and only 7-AAD-negative events were analyzed. Whole blood samples were distributed into unstained, isotype-control, and test tubes. Anti-human CD3-FITC, CD4-APC, and CD8-PE antibodies were added to test tubes, whereas matched isotype-control antibodies were added to control tubes. Samples were incubated in the dark at room temperature for 30 min. Compensation controls were prepared with BD CompBeads, and automatic compensation was performed in FACSDiva software. Red blood cells were lysed with RBC lysis buffer, then washed and resuspended in staining buffer containing 7-AAD.

Daily cytometer setup and tracking beads were used for quality control. Gating hierarchy included doublet exclusion, lymphocyte selection, viability gating, CD3+ gating, and CD4/CD8 subset identification. At least 50,000 live lymphocyte events were acquired per sample, with total acquired events ranging from 100,000–150,000. Data were analyzed using FlowJo software, and percentages of CD3+, CD4+, and CD8+ cells, together with CD4+/CD8+ ratios, were calculated.

Serum hs-CRP, IL-6, TNF-α, and MCP-1 concentrations were measured using commercial ELISA kits obtained. Detection ranges and sensitivities were as follows: hs-CRP (0.07–12.5 ng/mL; sensitivity 0.022 ng/mL), IL-6 (0.7–300 pg/mL; sensitivity 0.35 pg/mL), TNF-α (1.6–100 pg/mL; sensitivity 0.8 pg/mL), and MCP-1 (5–1000 pg/mL; sensitivity 2.5 pg/mL). All assays were performed in duplicate. Low and high-quality control materials were included on every plate. Intra-assay coefficients of variation were <8%, and inter-assay coefficients of variation were <10%. Values below detection limits were recorded as half the lower limit of quantification, whereas values above the highest standard were diluted and reassessed. Samples underwent only one freeze-thaw cycle before analysis. Cytokine ELISA procedures followed protocols identical to those described for IgG ELISA, according to manufacturer instructions regarding dilution factors, incubation conditions, and temperatures.

Clinical outcome assessment and data management
At the end of the 8-month treatment period, treating physicians, blinded to group allocation, evaluated participants' clinical status. Patients were classified as discharged when all predefined clinical improvement criteria for diabetic nephropathy were met for at least two consecutive weeks: ≥30% reduction in 24 h UPE compared with baseline, stabilization or improvement in eGFR defined as decline <5 mL/min/1.73 m2 from baseline, and absence of acute diabetic complications or other conditions requiring continued inpatient care. Participants who did not meet all criteria were classified as not discharged. Clinical response rates were subsequently calculated for each group.

All collected demographic, laboratory, and clinical data were entered into an electronic database using double data entry by two independent researchers. Range checks and consistency checks were performed to ensure data accuracy. Primary endpoints included changes from baseline to 8 months in renal-function parameters, including 24 h UPE and UAlb/UCR, and immune-function parameters, including CD3+ T-cell percentage and CD4+/CD8+ ratio. Secondary endpoints included changes from baseline to 8 months in glycemic parameters (FPG, 2h-PPG, HbA1c), lipid profile (TC, TG, LDL-C, HDL-C), inflammatory markers (hs-CRP, IL-6, TNF-α, MCP-1), and clinical response rate. All outcome measures were assessed at baseline, within 48 h before treatment initiation, and post-treatment, within 1 week after completion of the 8-month treatment period.

Statistical analysis
All statistical analyses were performed using SPSS software. Continuous variables with normal distribution were expressed as mean ± standard deviation, whereas categorical variables were expressed as frequency and percentage. Independent-samples t-tests were used for between-group comparisons, and chi-square tests were used for categorical variables. Statistical significance was defined as P<0.05. Given the exploratory nature of the study and the large number of outcomes assessed, secondary outcomes were not adjusted for multiplicity. Therefore, P-values were considered descriptive rather than confirmatory. Because of the retrospective non-randomized study design, all comparisons between the control and observation groups were unadjusted for potential confounders, and residual confounding may have remained. All 150 enrolled patients (56 in the control group and 94 in the observation group) completed the full 8-month treatment and follow-up period. No patients were lost to follow-up, withdrawn, or excluded after enrollment. No missing data were identified for baseline characteristics or outcome measures, including renal function, glucose and lipid profiles, immune markers, and inflammatory factors. Therefore, no imputation procedures were required.

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Results

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A total of 238 patients with diabetic nephropathy (Mogensen stage III) were initially screened between July 2022 and May 2024. After excluding 88 patients (44 did not meet the inclusion criteria, 28 met exclusion criteria, and 16 had incomplete records), 150 eligible patients were enrolled. Based on the chronological order of admission, 56 patients admitted between July 2022 and December 2023 were assigned to the control group (valsartan + atorvastatin + probucol), and 94 patients admitted between January 2024, and May 2...

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Discussion

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Potential mechanism of action of vitamin D in DN
This study found that adding vitamin D to a probucol-based regimen was associated with greater improvements in glucose metabolism, renal function, lipid levels, and immune markers in patients with DN. These findings suggest a potential adjunctive role of vitamin D in DN management, although causal mechanisms cannot be determined from this retrospective design.

First, vitamin D's positive effect on sugar metabolism is w...

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Disclosures

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The authors have no conflicts of interest to declare.

Materials

List of materials used in this article
NameCompanyCatalog NumberComments
−20°C FreezerStandard laboratory supplier (e.g., Haier, Thermo)ULT -20°C seriesStorage of urine aliquots
7-Aminoactinomycin D (7-AAD)BioLegend, Inc.420403Viability staining; final concentration 1 µg/mL
−80°C FreezerThermo Fisher Scientific (e.g., Revco)Revco RDE -80°CLong-term storage of serum and plasma aliquots
96-well ELISA Microplates (High-binding)Corning Inc. (Costar)3590High protein-binding surface; for ELISA assays
Anti-human CD3-FITC AntibodyBioLegend, Inc., San Diego, CA, USA300306 (clone OKT3, typical)5 µL per test; flow cytometry
Anti-human CD4-APC AntibodyBioLegend, Inc., San Diego, CA, USA317416 (clone RPA-T4, typical)5 µL per test; flow cytometry
Anti-human CD8-PE AntibodyBioLegend, Inc., San Diego, CA, USA301008 (clone HIT8a, typical)5 µL per test; flow cytometry
AtorvastatinPfizer Inc.H2005140720 mg, oral, once daily
BD FACSCanto II Flow CytometerBD Biosciences, San Jose, CA, USA338960Equipped with 488 nm (blue) and 640 nm (red) lasers
Blood Glucose Meter and Test StripsRoche Diagnostics (Accu-Chek)Accu-Chek Guide KitFor FPG and 2h-PPG from capillary finger-prick blood
Centrifuge Tubes (15 mL, Conical)Corning Inc.352096Polypropylene, sterile; for sample processing
Centrifuge Tubes (50 mL, Conical)Corning Inc.352070Polypropylene, sterile; for large-volume sample processing
CompBeads Compensation BeadsBD Biosciences552843Single-stained compensation controls for flow cytometry
Cryovials (2 mL, External Thread)Thermo Fisher Scientific (Nalgene)5000-0020For aliquoting serum/urine; storage at −80°C or −20°C
CS&T Beads (Cytometer Setup & Tracking)BD Biosciences641319Daily quality control for flow cytometer performance
EDTA Vacutainer Tubes (K2 EDTA)BD Vacutainer3678633 mL, lavender top; for whole blood collection (flow cytometry, HbA1c)
Enzymatic Colorimetric Assay Kit for Serum CreatinineRoche Diagnostics GmbH4492161190Calibrators: Cfas (Roche); QC: Precinorm U, Precipath U (Roche)
Flow Cytometry Staining BufferBD Biosciences554656Phosphate-buffered saline with 1% BSA and 0.1% sodium azide
Flow Cytometry Tubes (12 × 75 mm)BD Biosciences (Falcon)352058Polystyrene, round-bottom; for antibody staining and acquisition
FlowJo SoftwareBD Biosciencesversion 10.8Flow cytometry data analysis and visualization
HDL-C Assay Kit (Direct Method)Wako Pure Chemical Industries, Ltd., Osaka, Japan431-52501For high-density lipoprotein cholesterol measurement
High-Performance Liquid Chromatography (HPLC) System for HbA1cBio-Rad Laboratories, Inc.D-10For HbA1c measurement from EDTA whole blood
Hitachi 7180 Automated Biochemical AnalyzerHitachi, Ltd., Tokyo, Japan7180For SCr, lipid profile, and urinary albumin/creatinine measurement
hs-CRP ELISA KitR&D Systems, Inc., Minneapolis, MN, USADCRP00Detection range: 0.07–12.5 ng/mL; sensitivity: 0.022 ng/mL
Human IgG ELISA KitCloud-Clone Corp., Houston, TX, USAE-80HUDetection range: 1.37–1000 ng/mL; sensitivity: 0.52 ng/mL; intra-assay CV <6%; inter-assay CV <9%
IBM SPSS Statistics SoftwareIBM Corporationversion 22.0Statistical analysis platform -2
IL-6 ELISA KitR&D Systems, Inc.D6050Detection range: 0.7–300 pg/mL; sensitivity: 0.35 pg/mL
Insulin (for subcutaneous infusion)Novo Nordisk A/S00169-3004-01Daily subcutaneous insulin infusion; dose individualized based on glucose monitoring
LDL-C Assay Kit (Direct Method)Wako Pure Chemical Industries, Ltd., Osaka, Japan439-52501For low-density lipoprotein cholesterol measurement
Lipid QC Materials (Precinorm Lipid, Precipath Lipid)Roche Diagnostics GmbHPrecinorm Lipid: 04727379190; Precipath Lipid: 04727400190Daily quality control for lipid panel
MCP-1 ELISA KitR&D Systems, Inc.DCP00Detection range: 5–1000 pg/mL; sensitivity: 2.5 pg/mL
Microplate Sealer / Adhesive FilmBio-Rad Laboratories (Microseal)MSB1001For sealing ELISA plates during incubation
Multichannel Pipette (8-channel, 10–100 µL)Eppendorf AG (Research Plus)4861000695For ELISA reagent dispensing
Multi-mode Microplate ReaderMolecular Devices, LLC (e.g., SpectraMax)SpectraMax i3xFor ELISA OD measurement at 450 nm with reference wavelength 570 nm or 630 nm
ProbucolOtsuka Pharmaceutical Co., Ltd.H10960126250 mg, oral, twice daily
Pyrogallol Red-Molybdate Urine Protein KitBiosino Bio-Technology Co., Ltd., Beijing, ChinaUR-PR-100For 24-hour urinary protein excretion measurement -1
RBC Lysis Buffer (1×)BD Biosciences555899For red blood cell lysis in whole blood samples
Refrigerated 24-Hour Urine Collection ContainerDynarex Corporation3144Sterile, 3L capacity; kept refrigerated during collection
Refrigerated CentrifugeEppendorf AG (e.g., 5810 R)5810 RFor serum preparation: 1000 × g, 15 min, 4°C
Serum Separator Tubes (SST)BD Vacutainer3679855 mL, gold top; for serum preparation (biochemistry, ELISA)
Sharps Disposal Container (Biohazard)Becton, Dickinson and Company (BD)305790FDA-cleared sharps container for insulin needle disposal
Single-channel Pipettes (2 µL, 20 µL, 200 µL, 1000 µL)Eppendorf AG (Research Plus)4921000073 (typical set)For general laboratory liquid handling
Sterile Midstream Urine Collection ContainerBD Vacutainer364955For first-morning urine sample (UAlb/UCR)
TNF-α ELISA KitR&D Systems, Inc.DTA00DDetection range: 1.6–100 pg/mL; sensitivity: 0.8 pg/mL
Total Cholesterol (TC) Assay Kit (Enzymatic)Wako Pure Chemical Industries, Ltd., Osaka, Japan439-17501For TC measurement on Hitachi 7180
Triglycerides (TG) Assay Kit (Enzymatic)Wako Pure Chemical Industries, Ltd., Osaka, Japan432-40201For TG measurement on Hitachi 7180
Urine Protein Control (QC Material)Biosino Bio-Technology Co., Ltd., Beijing, ChinaURC-500Quality control for urine protein assay
ValsartanNovartis PharmaceuticalsH2004021780 mg, oral, once daily
Vitamin D (Cholecalciferol)NatureMade0031604028183600–800 IU/day for general supplementation; 2000 IU/day for insufficiency/deficiency

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