- 1Department of Emergency Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang Province Clinical Research Center for Emergency and Critical Care Medicine, Hangzhou, China
- 2Department of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- 3Department of Endocrinology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
We report a 52-year-old man with autoantibody-negative type 1 diabetes (T1D) who presented with severe insulin resistance (IR). Whole-exome sequencing (WES) identified a heterozygous mutation in the IGF2BP2 gene (c.248A>G, p. Lys83Thr; rs4402960), associated with type 2 diabetes (T2D) risk. Despite intensive insulin therapy, the patient exhibited markedly elevated insulin requirements (>1.5 U/kg/day; total, 140 U/day) alongside persistent hyperglycemia. The estimated glucose disposal rate (eGDR) was 4.32 mg/kg/min, indicating significant IR. The Somogyi phenomenon was ruled out via continuous glucose monitoring (CGM), and the patient was deemed to have IR. The addition of metformin, acarbose, and dapagliflozin reduced insulin requirements and significantly improved glycemic control. This case suggests that T2D-associated genetic variants may contribute to IR in T1D and underscores the potential value of genetic testing in guiding targeted oral combination therapy.
Introduction
Type 1 diabetes (T1D) is an autoimmune disease in which the immune system attacks and destroys its own pancreatic cells, leading to abnormal insulin function (1, 2). Traditionally, T1D is defined by insulin deficiency, whereas insulin resistance (IR)—characterized by reduced bodily responsiveness to insulin—is a hallmark feature of type 2 diabetes (T2D). Recently, there has been a growing number of reports on IR in patients with T1D, which impairs glycemic control (3–5). The IGF2BP2 locus (rs4402960) is a well-established genetic risk factor for T2D (6). Functional studies demonstrate that this variant impairs first-phase glucose-stimulated insulin secretion and disrupts insulin signaling pathways (7). However, no reports of its association with T1D have been documented to date.
We report the case of a 52-year-old man with autoantibody-negative T1D who presented with severe IR. The estimated glucose disposal rate (eGDR) was 4.32 mg/kg/min, indicating significant IR with markedly elevated insulin requirements (>1.5 U/kg/day; total, 140 U/day) yet persistent hyperglycemia despite intensive insulin therapy, excluding the Somogyi phenomenon based on continuous glucose monitoring (CGM). Whole-exome sequencing (WES) revealed a heterozygous variant in the IGF2BP2 gene (c.248A>G, p. Lys83Thr; rs4402960), a risk locus for T2D. By adding T2D-related oral medications, especially dapagliflozin, his blood glucose levels were stabilized. This case underscores the clinical relevance of genetic testing in patients with T1D with unexplained IR, as identifying T2D-associated variants may guide targeted therapies and mitigate treatment resistance.
Case presentation
A 52-year-old man with a 21-year history of T1D was admitted to our department due to uncontrolled blood glucose over the past 21 years. Twenty-one years ago, he presented with unprovoked thirst, frequent urination, fatigue, and weight loss, and was diagnosed with T1D complicated with diabetic ketoacidosis (DKA). He subsequently initiated insulin therapy, which, however, yielded suboptimal results. During the prior hospitalization, T1D was diagnosed based on the patient’s medical history and C-peptide results (five time points: fasting and 30/60/120/180 min post-glucose ingestion, all < 0.01 nmol/L). Though autoantibody-negative, the patient required lifelong insulin from onset and initially presented with DKA, which collectively confirm the T1D diagnosis. The insulin regimen was switched to the standard protocol of insulin glargine and insulin lispro; additionally, dietary/exercise education was provided and CGM was initiated. However, the patient experienced persistent poor glycemic control after discharge, with a maximum total daily insulin dose of 140 units/day, which resulted in readmission. Despite intensive insulin therapy and adherence to dietary and exercise recommendations, his glycemic control remained poor, with persistent hyperglycemia. He also had a long-standing history of pruritus and skin ulcers. His family history was as follows: an aunt with T2D, ex-smoker, 30-year alcohol use, and a history of hypertension.
Investigation
Physical examination upon this administration showed a body mass index (BMI) of 28.25 kg/m2 (height, 178 cm; weight, 89.5 kg), a waist circumference of 99 cm, a blood pressure of 137/80 mmHg, and scattered skin ulcerations detected around the body. Lab examinations showed an elevated HbA1c level of 8.2%, and C-peptide release assay showed exhausted pancreatic islet function (C-peptide levels at fasting and 30/60/120/180 min post-glucose ingestion were all <0.01 nmol/L). Electromyography showed features of diabetic peripheral neuropathy. Abdominal ultrasound showed fatty liver (Table 1).
The patient’s age at onset (approximately 31 years), presentation with ketoacidosis, and nearly undetectable C-peptide levels are consistent with autoantibody-negative T1D. The patient’s eGDR was 4.32 mg/kg/min, calculated according to the following formula: eGDR (mg/kg/min) = 21.158 − (0.09 × WC) − (3.407 × hypertension) − (0.551 × HbA1c), where WC denotes waist circumference (cm), hypertension is coded as yes = 1/no = 0, and HbA1c represents glycated hemoglobin (%) (8). Meanwhile, the patient’s total daily insulin dosage was significantly higher than the estimated dose, and hyperglycemia secondary to hypoglycemia (Somogyi phenomenon) has been ruled out via CGM. Additionally, the patient maintained a stable body weight and exhibited good self-management adherence: he consistently followed a diabetes-specific diet and performed appropriate physical activity, thereby excluding excessive insulin dosage and poor glycemic control caused by binge eating. Thus, IR was suspected in this patient (9). Subsequently, the patient was fully informed of the off-label drug use in this case and signed the informed consent form. Regarding the potential risk of DKA associated with sodium-glucose cotransporter 2 (SGLT-2) inhibitor use in T1D, we repeatedly emphasized that this medication must be administered under the guidance of a diabetologist (10, 11): it should be initiated only when insulin doses are adequate, and during treatment, the patient must comply with regular follow-up visits and periodic ketone monitoring as prescribed to ensure safety. Accordingly, dapagliflozin (5 mg/day) was prescribed. Under careful glucose monitoring and dosage adjustment, the patient’s glycemic control was stabilized. Finally, the maintenance regimen was confirmed as follows: insulin glargine (26 U pre-breakfast, 8 U at bedtime), insulin lispro (15 U–6 U–11 U), plus oral metformin, acarbose, and dapagliflozin. Additionally, the patient was advised to undergo WES prior to discharge.
Outcome and follow-up
The glycemic level of this patient eventually reached the target range and remained stable, and the CGM showed continuous glycemic control in the following days (Figure 1). Six months later, his WES report indicated a heterozygous variant in the IGF2BP2 gene (c.248A>G, p. Lys83Thr; rs4402960) (Figure 2), a reported risk location of T2DM, which may partially explain his obvious IR.
Additionally, pre-discharge WES was performed: genomic DNA extracted from peripheral blood using a commercial kit, followed by exome enrichment, alignment to GRCh38 (BWA-MEM), variant calling (GATK), and pathogenicity prediction (PolyPhen-2/SIFT).
Discussion
We report a 52-year-old man with autoantibody-negative T1D who presented with severe IR. Through the combination of metformin, acarbose, and dapagliflozin, his blood glucose was finally stabilized. WES analysis revealed a heterozygous mutation in the IGF2BP2 gene (c.248A>G, p. Lys83Thr; rs4402960), a risk locus for T2D, which may partially explain his pronounced IR. This case highlights the value of genetic testing in T1D with unexplained IR and aligns with prior evidence linking IGF2BP2 polymorphisms to impaired β-cell function and insulin sensitivity in T2D (6, 7).
The hyperinsulinemic–euglycemic clamp (HEC) is the gold standard for evaluating IR, but its application in clinical and research has been limited due to its invasive, time-consuming, and expensive nature (12). Subsequently, the homeostasis model assessment of insulin resistance (HOMA-IR) was developed for clinical research (8). However, HOMA-IR inherently depends on endogenous insulin secretion. Therefore, it was not applicable to the present patient, whose long-term exogenous insulin therapy confounded the method’s reliance on endogenous insulin, rendering the assessment invalid. The eGDR, calculated from readily available clinical parameters such as waist circumference, blood pressure, and glycated hemoglobin, is currently the only practical, non-invasive method for assessing IR in patients with T1D (8, 12). For this patient, the eGDR was 4.32 mg/kg/min and a lower eGDR indicates greater IR. Additionally, we conducted a clinical assessment, which revealed that his total daily insulin dose exceeded 1.5 U/kg/day, with hyperglycemia induced by hypoglycemia ruled out.
It is well known that obesity and weight gain are closely associated with IR in T1D (13, 14). The patient met the criteria for obesity (BMI, 28.25 kg/m2; waist circumference, 99 cm). Abdominal fat is a high-risk factor for IR. Therefore, for diabetic obese patients, weight management is also important.
Recent studies have identified that several genetic loci traditionally associated with T2D, such as TCF7L2, IGF2BP2, and FTO, may also influence IR in individuals with T1D, particularly in those with a long disease course or features of metabolic syndrome (15, 16). Furthermore, genetic variants linked to insulin signaling and glucose metabolism—such as polymorphisms in INSR, PPARG, and ADIPOQ—have been associated with increased susceptibility to IR, suggesting a complex interplay between autoimmune and metabolic genetic predispositions in some patients with T1D (17). The WES of this patient indicated heterozygous mutations (c.248A>G, p. Lys83Thr) in the IGF2BP2 gene. This gene mutation is associated with genetic susceptibility to T2D and may exacerbate IR by affecting the insulin signaling pathway. Recent genome-wide association studies have shown that the IGF2BP2 gene promotes the development of T2D by disrupting insulin secretion (18). Groenewoud et al. found that the IGF2BP2 gene reduced glucose-stimulated insulin secretion in the first stage of diabetes development (19). In both Indian and Chinese populations, IGF2BP2 was found to be closely associated with T2D even after adjusting for age, sex, and BMI (20).
For patients with T1D who repeatedly fail to control their condition after insulin therapy, it is necessary to check for IR or the presence of risk genes associated with T2D. Metformin is the first choice of drug therapy for T2D; it reduces blood glucose by reducing liver glucose output and improving peripheral IR, improves multiple cardiovascular risk factors, and improves IR. Metformin is recommended for patients with IR combined with T2D (21). Acarbose is one of the commonly used oral hypoglycemic drugs for T2D and can also be used as an adjuvant therapy for T1D by inhibiting the activity of α-glucosidase in the intestine and delaying the absorption of carbohydrates, thus delaying the increase of postprandial blood glucose (22, 23). Dapagliflozin is a highly selective inhibitor of renal sodium-glucose transporter 2, which inhibits renal glucose reabsorption and increases the excretion of glucose in urine through non-insulin-dependent pathways, thereby improving blood glucose control and reducing body weight (24). Although not part of the standard treatment for T1D, the reasonable use of SGLT-2 can significantly improve blood glucose levels in patients with significant IR, but the risk of ketoacidosis needs to be closely monitored. It should be emphasized that the use of metformin (25), acarbose (26), and SGLT2 inhibitors (dapagliflozin) in patients with T1D is off label. In this case, these agents were introduced under close clinical monitoring and with the patient’s informed consent, given the severe IR and inadequate glycemic control on intensive insulin therapy alone. Notably, when SGLT-2 inhibitors are initiated, attention should be paid to an appropriate reduction in insulin dosage.
This study has some limitations. First, its single-case sample size restricts the generalizability of the findings. Second, the HEC is the gold standard for assessing IR in T1D. However, its clinical implementation remains challenging, making definitive IR diagnosis difficult. Finally, only WES was performed; Sanger validation of the identified IGF2BP2 gene (c.248A>G, p. Lys83Thr; rs4402960) was omitted, potentially compromising the variant’s authenticity confirmation.
Conclusion
In summary, this case highlights that for patients with T1D with poor glycemic control and marked IR that cannot be fully explained by metabolic factors, genetic testing should be considered. Early identification of relevant genetic variants may help uncover underlying mechanisms, guide the development of individualized treatment strategies, and potentially reduce the risk of complications.
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the Ethics Committee of The Second Affiliated Hospital, Zhejiang University School of Medicine. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants’ legal guardians/next of kin because This study is a case report of retrospective research, with data anonymized and the risk extremely low. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.
Author contributions
JTW: Writing – original draft, Writing – review & editing. SYL: Writing – original draft, Writing – review & editing. TYZ: Writing – review & editing.
Funding
The author(s) declare financial support was received for the research and/or publication of this article.This work was supported by the Cultivation Project of Teaching Reform Research in the Second Affiliated Hospital, Zhejiang University School of Medicine (20230227). The research did not receive any additional specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that no Generative AI was used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Atkinson MA, Eisenbarth GS, and Michels AW. Type 1 diabetes. Lancet. (2014) 383:69–82. doi: 10.1016/S0140-6736(13)60591-7
2. Abel ED, Gloyn AL, Evans-Molina C, Joseph JJ, Misra S, Pajvani UB, et al. Diabetes mellitus-Progress and opportunities in the evolving epidemic. Cell. (2024) 187:3789–820. doi: 10.1016/j.cell.2024.06.029
3. Li X, Cao C, Tang X, Yan X, Zhou H, Liu J, et al. Prevalence of metabolic syndrome and its determinants in newly-diagnosed adult-onset diabetes in China: A multi-center, cross-sectional survey. Front Endocrinol (Lausanne). (2019) 10:661. doi: 10.3389/fendo.2019.00661
4. Sammut MJ, Dotzert MS, and Melling CWJ. Mechanisms of insulin resistance in type 1 diabetes mellitus: A case of glucolipotoxicity in skeletal muscle. J Cell Physiol. (2024) 239:e31419. doi: 10.1002/jcp.31419
5. Bielka W, Przezak A, Molęda P, Pius-Sadowska E, and Machaliński B. Double diabetes-when type 1 diabetes meets type 2 diabetes: definition, pathogenesis and recognition. Cardiovasc Diabetol. (2024) 23:62. doi: 10.1186/s12933-024-02145-x
6. Zeggini E, Weedon MN, Lindgren CM, Frayling TM, Elliott KS, Lango H, et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science. (2007) 316:1336–41. doi: 10.1126/science.1142364
7. Huang T, Wang L, Bai M, Zheng J, Yuan D, He Y, et al. Influence of IGF2BP2, HMG20A, and HNF1B genetic polymorphisms on the susceptibility to Type 2 diabetes mellitus in Chinese Han population. Biosci Rep. (2020) 40:BSR20193955. doi: 10.1042/BSR20193955
8. Hou D, Liu S, Sun Y, Liu C, Shang X, Pei L, et al. Estimated glucose disposal rate associated with risk of frailty and likelihood of reversion. J Cachexia Sarcopenia Muscle. (2025) 16:e13814. doi: 10.1002/jcsm.13814
9. Minamitani M, Mukai T, Ogita M, Yamashita H, Katano A, and Nakagawa K. Relationship between consulting for second medical opinions, radiotherapy, and satisfaction with therapy, analyzed by structural equation modeling: A web-based survey. Asian Pac J Cancer Prev. (2021) 22:2889–96. doi: 10.31557/APJCP.2021.22.9.2889
10. Dimitriadis GD and Lambadiari V. GLP-1 receptor agonists and SGLT-2 inhibitors as adjuncts to insulin in type 1 diabetes: benefits and concerns. J Clin Endocrinol Metab. (2023) 108:e52–e3. doi: 10.1210/clinem/dgad022
11. Melmer A, Kempf P, Lunger L, Pieber TR, Mader JK, Stettler C, et al. Short-term effects of dapagliflozin on insulin sensitivity, postprandial glucose excursion and ketogenesis in type 1 diabetes mellitus: A randomized, placebo-controlled, double blind, cross-over pilot study. Diabetes Obes Metab. (2018) 20:2685–9. doi: 10.1111/dom.13439
12. Williams KV, Erbey JR, Becker D, Arslanian S, and Orchard TJ. Can clinical factors estimate insulin resistance in type 1 diabetes? Diabetes. (2000) 49:626–32. doi: 10.2337/diabetes.49.4.626
13. Gregory JM, Cherrington AD, and Moore DJ. The peripheral peril: injected insulin induces insulin insensitivity in type 1 diabetes. Diabetes. (2020) 69:837–47. doi: 10.2337/dbi19-0026
14. Alebna PL, Mehta A, Yehya A, daSilva-deAbreu A, Lavie CJ, and Carbone S. Update on obesity, the obesity paradox, and obesity management in heart failure. Prog Cardiovasc Dis. (2024) 82:34–42. doi: 10.1016/j.pcad.2024.01.003
15. Liu Q, Pan J, Berzuini C, Rutter MK, and Guo H. Integrative analysis of Mendelian randomization and Bayesian colocalization highlights four genes with putative BMI-mediated causal pathways to diabetes. Sci Rep. (2020) 10:7476. doi: 10.1038/s41598-020-64493-4
16. Apostolopoulou M, Lambadiari V, Roden M, and Dimitriadis GD. Insulin resistance in type 1 diabetes: pathophysiological, clinical, and therapeutic relevance. Endocr Rev. (2025) 46:317–48. doi: 10.1210/endrev/bnae032
17. Sevilla-González M, Smith K, Wang N, Jensen AE, Litkowski EM, Kim H, et al. Heterogeneous effects of genetic variants and traits associated with fasting insulin on cardiometabolic outcomes. Nat Commun. (2025) 16:2569. doi: 10.1038/s41467-025-57452-y
18. Baskaran C, Volkening LK, Diaz M, and Laffel LM. A decade of temporal trends in overweight/obesity in youth with type 1 diabetes after the Diabetes Control and Complications Trial. Pediatr Diabetes. (2015) 16:263–70. doi: 10.1111/pedi.12166
19. Groenewoud MJ, Dekker JM, Fritsche A, Reiling E, Nijpels G, Heine RJ, et al. Variants of CDKAL1 and IGF2BP2 affect first-phase insulin secretion during hyperglycaemic clamps. Diabetologia. (2008) 51:1659–63. doi: 10.1007/s00125-008-1083-z
20. Dai N. The diverse functions of IMP2/IGF2BP2 in metabolism. Trends Endocrinol Metab. (2020) 31:670–9. doi: 10.1016/j.tem.2020.05.007
21. Qaseem A, Obley AJ, Shamliyan T, Hicks LA, Harrod CS, Crandall CJ, et al. Newer pharmacologic treatments in adults with type 2 diabetes: A clinical guideline from the american college of physicians. Ann Intern Med. (2024) 177:658–66. doi: 10.7326/M23-2788
22. Dalsgaard NB, Gasbjerg LS, Hansen LS, Hansen NL, Stensen S, Hartmann B, et al. The role of GLP-1 in the postprandial effects of acarbose in type 2 diabetes. Eur J Endocrinol. (2021) 184:383–94. doi: 10.1530/EJE-20-1121
23. Hansen LS, Gasbjerg LS, Brønden A, Dalsgaard NB, Bahne E, Stensen S, et al. The role of glucagon-like peptide 1 in the postprandial effects of metformin in type 2 diabetes: a randomized crossover trial. Eur J Endocrinol. (2024) 191:192–203. doi: 10.1093/ejendo/lvae095
24. Latva-Rasku A, Honka MJ, Kullberg J, Mononen N, Lehtimäki T, Saltevo J, et al. The SGLT2 inhibitor dapagliflozin reduces liver fat but does not affect tissue insulin sensitivity: A randomized, double-blind, placebo-controlled study with 8-week treatment in type 2 diabetes patients. Diabetes Care. (2019) 42:931–7. doi: 10.2337/dc18-1569
25. Vella S, Buetow L, Royle P, Livingstone S, Colhoun HM, and Petrie JR. The use of metformin in type 1 diabetes: a systematic review of efficacy. Diabetologia. (2010) 53:809–20. doi: 10.1007/s00125-009-1636-9
Keywords: type 1 diabetes, insulin resistance, IGF2BP2, whole-exome sequencing, genetic testing
Citation: Wei J, Lu S-Y and Zhang T (2025) Case Report: Insulin resistance in type 1 diabetes mellitus: the role of genetic factors. Front. Endocrinol. 16:1656453. doi: 10.3389/fendo.2025.1656453
Received: 30 June 2025; Accepted: 26 August 2025;
Published: 12 September 2025.
Edited by:
Roma Patel, Albert Einstein College of Medicine, United StatesReviewed by:
George Dimitriadis, National and Kapodistrian University of Athens, GreeceFarizky Martriano Humardani, University of Brawijaya, Indonesia
Copyright © 2025 Wei, Lu and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Tianyue Zhang, enR5Y3ljeUB6anUuZWR1LmNu
†These authors have contributed equally to this work and share first authorship