Type 1 diabetes

Quattrin, Teresa; Mastrandrea, Lucy D.; Walker, Lucy S. K.

doi:10.1016/s0140-6736(23)00223-4

Cited by 82 publications

(37 citation statements)

References 177 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, 33 mM of glucose is well above the common blood sugar value of diabetic patients. 67 Such superior performance has great potential to be used in ionic strength sensing in the pharmaceutical production industry, biomedical applications, etc.…”

Section: Resultsmentioning

confidence: 99%

Cellulosic nanocomposite filaments for an ionic strength sensor with ultrahigh precision and sensitivity

Kong,

Mao,

Zhang

et al. 2023

J. Mater. Chem. A

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 99%

Cellulosic nanocomposite filaments for an ionic strength sensor with ultrahigh precision and sensitivity

Kong,

Mao,

Zhang

et al. 2023

J. Mater. Chem. A

View full text Add to dashboard Cite

show abstract

“…Although the etiology and pathogenesis mechanisms of T1DM have many unknow and large knowledge gaps, our understanding of its pathological process has greatly improved during the last two decades. It has been suggested that a complicated interaction among genetic, environmental, and immunologic factors induces a T-cell-regulated immune attack directed against pancreatic β cells[ 4 , 13 ]. Genetic studies have revealed that T1DM genetic susceptibility exhibits a polygenic nature.…”

Section: The Basic Characteristics Of T1dm and Aitdmentioning

confidence: 99%

“…The incidence of T1DM is not uniform across the world, and it tends to be higher in higher-income countries than in lower-income countries[ 3 ]. As a result of the autoimmune attack predominantly driven by T cells, T1DM occurs in genetically predisposed individuals exposed to environmental and stochastic factors, leading to the dysfunction and death of pancreatic β-cells, with subsequent hyperglycemia[ 4 ]. However, although T1DM is an organ-specific autoimmune disorder, individuals with T1DM often exhibit a higher risk of additional autoimmune disorders[ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Association of autoimmune thyroid disease with type 1 diabetes mellitus and its ultrasonic diagnosis and management

Wang,

Wan,

Chang

et al. 2024

World J Diabetes

View full text Add to dashboard Cite

As a common hyperglycemic disease, type 1 diabetes mellitus (T1DM) is a complicated disorder that requires a lifelong insulin supply due to the immune-mediated destruction of pancreatic β cells. Although it is an organ-specific autoimmune disorder, T1DM is often associated with multiple other autoimmune disorders. The most prevalent concomitant autoimmune disorder occurring in T1DM is autoimmune thyroid disease (AITD), which mainly exhibits two extremes of phenotypes: hyperthyroidism [Graves' disease (GD)] and hypo-thyroidism [Hashimoto's thyroiditis, (HT)]. However, the presence of comorbid AITD may negatively affect metabolic management in T1DM patients and thereby may increase the risk for potential diabetes-related complications. Thus, routine screening of thyroid function has been recommended when T1DM is diagnosed. Here, first, we summarize current knowledge regarding the etiology and pathogenesis mechanisms of both diseases. Subsequently, an updated review of the association between T1DM and AITD is offered. Finally, we provide a relatively detailed review focusing on the application of thyroid ultrasonography in diagnosing and managing HT and GD, suggesting its critical role in the timely and accurate diagnosis of AITD in T1DM.

show abstract

“…It is well established that type 1 diabetes (T1D) results from the autoimmune attack against the insulin producing beta cells in the islets of Langerhans of the endocrine pancreas. The specific etiology of this anti-beta cell autoimmunity, however, remains elusive [1, 2]. Aside from a well-known genetic predisposition attributed largely to certain human leukocyte antigen (HLA) genes in the major histocompatibility complex (MHC) class II molecules, there are also environmental components suspected to contribute to the increased incidence of T1D.…”

Section: Introductionmentioning

confidence: 99%

A Composite Biomarker Signature of Type 1 Diabetes Risk Identified via Augmentation of Parallel Multi-Omics Data from a Small Cohort

Alcazar,

Chuang,

Ren

et al. 2024

Preprint

View full text Add to dashboard Cite

(1) Background: Biomarkers of early pathogenesis of type 1 diabetes (T1D) are crucial to enable effective prevention measures in at-risk populations before significant damage occurs to their insulin producing beta-cell mass. We recently introduced the concept of integrated parallel multi-omics and employed a novel data augmentation approach which identified promising candidate biomarkers from a small cohort of high-risk T1D subjects. We now validate selected biomarkers to generate a potential composite signature of T1D risk; (2) Methods: Twelve candidate biomarkers, which were identified in the augmented data and selected based on their fold-change relative to healthy controls and cross-reference to proteomics data previously obtained in the expansive TEDDY and DAISY cohorts, were measured in the original samples by ELISA; (3) Results: All 12 biomarkers had established connections with lipid/lipoprotein metabolism, immune function, inflammation, and diabetes, but only 7 were found to be markedly changed in the high-risk subjects compared to the healthy controls: ApoC1 and PON1 were reduced while CETP, CD36, FGFR1, IGHM, PCSK9, SOD1, and VCAM1 were elevated; (4) Conclusions: Results further highlight the promise of our data augmentation approach in unmasking important patterns and pathologically significant features in parallel multi-omics datasets obtained from small sample cohorts to facilitate the identification of promising candidate T1D biomarkers for downstream validation. They also support the potential utility of a composite biomarker signature of T1D risk characterized by the changes in the above markers.

show abstract

Type 1 diabetes

Cited by 82 publications

References 177 publications

Cellulosic nanocomposite filaments for an ionic strength sensor with ultrahigh precision and sensitivity

Cellulosic nanocomposite filaments for an ionic strength sensor with ultrahigh precision and sensitivity

Association of autoimmune thyroid disease with type 1 diabetes mellitus and its ultrasonic diagnosis and management

A Composite Biomarker Signature of Type 1 Diabetes Risk Identified via Augmentation of Parallel Multi-Omics Data from a Small Cohort

Contact Info

Product

Resources

About