Efficacy and safety of fixed-ratio combination insulin degludec/liraglutide in type 2 diabetes: A systematic review and meta-analysis of randomised controlled trials.

BACKGROUND: The efficacy and safety of fixed-ratio combination insulin degludec/liraglutide (IDegLira) for type 2 diabetes (T2DM) were extensively investigated by the global DUAL trials. However, the evidence on its efficacy and safety in T2DM has not been systematically reviewed. METHODS: Randomized controlled trials published in English that compared IDegLira with placebo or GLP-1 agonists or insulin in patients with T2DM were selected up to December 2022. Data on the study characteristics, efficacy and safety outcomes were extracted. We compared the efficacy and safety between "IDegLira versus Insulin," "IDegLira versus GLP-1RA," and "IDegLira versus Placebo". The risk of potential bias was assessed. RESULTS: In terms of glycaemic efficacy, IDegLira reduced levels of glycated haemoglobin (HbA1c; weighted mean differences (WMDs) 0.52%, 95% CI 0.33%-0.71%); fasting blood glucose (0.32 mg/dL, 0.14-0.50 mg/dL), and the nine-point self-measured plasma glucose (0.25 mmol/L, 0.25-0.36 mmol/L). Furthermore, IDegLira was generally better in the attainment of HbA1c < 7.0% or ≤6.5%, HbA1c < 7.0% or ≤6.5% without weight gain and/or without severe or blood glucose-confirmed hypoglycaemic episodes. In non-glycaemic efficacy aspects, IDegLira decreased systolic blood pressure but elevated heart rate. In terms of safety outcomes, IDegLira did not appear to be associated with a risk of hypoglycaemia (RR 1.23, 0.85-1.78) and nocturnal hypoglycaemia (0.89, 0.52-1.52) occurring when compared with other hypoglycaemic agents or placebo. CONCLUSIONS: IDegLira improves better glycaemic and non-glycaemic outcomes without weight gain and/or without severe or blood glucose-confirmed hypoglycaemic episodes in T2DM. Side effects of IDegLira are mild.

Fulminant type 1 diabetes: Focusing on triggering factors.

Fulminant type 1 diabetes (FT1D) is a novel type of type 1 diabetes that is caused by extremely rapid destruction of the pancreatic ß cells. Early diagnosis or prediction of FT1D is critical for the prevention or timely treatment of diabetes ketoacidosis, which can be life-threatening. Understanding its triggers or promoting factors plays an important role in the prevention and treatment of FT1D. In this review, we summarised the various triggering factors of FT1D, including susceptibility genes, immunological factors (cellular and humoural immunity), immune checkpoint inhibitor therapies, drug reactions with eosinophilia and systemic symptoms or drug-induced hypersensitivity syndrome, pregnancy, viral infections, and vaccine inoculation. This review provides the basis for future research into the pathogenetic mechanisms that regulate FT1D development and progression to further improve the prognosis and clinical management of patients with FT1D.

Plasma-derived exosomal miRNA profiles associated with type 1 diabetes.

AIMS: Recently, exosomal miRNAs have been shown to play important roles in multiple diseases, including type 1 diabetes (T1D). To assess the biomarker potential of exosomal miRNAs for T1D, we measured the expression profiles of plasma-derived exosomal miRNAs in T1D and explored their potential functions by bioinformatic analysis. MATERIALS AND METHODS: In the discovery phase, exosome samples were isolated from plasma by size exclusion chromatography from 10 T1D patients and 10 sex- (p = 0.36), age- (p = 0.97), and body mass index-matched (p = 0.47) healthy control subjects. Exosomal miRNA expression profiles were measured using the Illumina NovaSeq 6000 platform. With verification by quantitative real-time PCR (qRT-PCR), we used multiple bioinformatics approaches to explore the potential biological functions of the identified differentially expressed miRNAs. The diagnostic signature of exosomal miRNAs was evaluated by least absolute shrinkage and selection operator (LASSO) regression and evaluated based on the area under the receiver operating characteristic curve (AUC). RESULTS: In total, 43 differentially expressed miRNAs, among which 34 were upregulated and 9 were downregulated, were identified in T1D. After correcting for multiple testing using false discovery rate, 11 identified exosomal miRNAs still showed statistical significance. Among the 5 selected miRNAs, 3 miRNAs (miR-103a-3p, miR-144-5p and miR-454-3p) were successfully validated by qRT-PCR. The biological analysis-enriched terms included protein autophosphorylation and the Hedgehog signalling pathway. The highest AUC of exosomal miRNA was 0.889 under the LASSO model. The expression levels of 5 selected exosomal miRNAs were correlated with multiple clinical characteristics such as fasting C-peptide and postprandial C-peptide. CONCLUSIONS: Our results indicated that plasma-derived exosomal miRNAs could serve as promising diagnostic biomarkers of T1D.

Clinical and immunological characteristics of PD-1 associated fulminant type 1 diabetes mellitus. / PD-1ç›¸å ³æ€§æš´å‘æ€§1åž‹ç³–å°¿ç— çš„ä¸´åºŠä¸Žå ç–«ç‰¹å¾.

OBJECTIVES: Programmed death 1 (PD-1) associated fulminant type 1 diabetes (PFD) is a rare acute and critical in internal medicine, and its clinical characteristics are still unclear. This study aims to analyze the clinical characteristics of PFD patients to improve clinical diagnosis and treatment. METHODS: We retrospectively analyzed the clinical data of 10 patients with PFD admitted to the Second Xiangya Hospital of Central South University, combined with the data of 66 patients reported in the relevant literature, analyzed and summarized their clinical and immunological characteristics, and compared the patients with PFD with different islet autoantibody status. RESULTS: Combined with our hospital and literature data, a total of 76 patients with PFD were reported, with the age of (60.9±12.1) years old, 60.0% male and body mass index of (22.1±5.2) kg/m2. In 76 patients, the most common tumors were lung cancer (43.4%) and melanoma (22.4%). Among PD-1 inhibitors, the most common drugs are nivolumab (37.5%) and pembrolizumab (38.9%). 82.2% of PFD patients developed diabetes ketoacidosis. The median onset time from PD-1 related inhibitor treatment to hyperglycemia was 95 (36.0, 164.5) d, and the median treatment cycle before the onset of diabetes was 6 (2.3, 8.0) cycles. 26% (19/73) of PFD patients had positive islet autoantibodies, and the proportion of ketoacidosis in the positive group was significantly higher than that in the negative group (100.0% vs 75.0%, P<0.05). The onset time and infusion times of diabetes after PD-1 inhibitor treatment in the autoantibody positive group were significantly lower than those in the autoantibody negative group (28.5 d vs 120.0 d; 2 cycles vs 7 cycles, both P<0.001). CONCLUSIONS: After initiation of tumor immunotherapy, it is necessary to be alert to the occurrence of adverse reactions of PFD, and the onset of PFD with islet autoantibody positive is faster and more serious than that of patients with autoantibodies negative. Detection of islet autoantibodies and blood glucose before and after treatment with PD-1 inhibitors is of great value for early warning and prediction of PFD.

The fulminant index: A method of rapidly differentiating fulminant type 1 diabetes from diabetic ketoacidosis.

AIMS AND OBJECTIVES: Fulminant type 1 diabetes (FT1D) could present diabetes ketoacidosis (DKA) at early onset. It is crucial to identify FT1D from DKA manifestations in time at clinical practice. This study was aimed at investigating whether the fulminant index (FI), encompassing plasma glucose (PG) to glycated haemoglobin (HbA1c) ratio (PG/HbA1c), serum potassium ion (K+ ) to HbA1c ratio (K+ /HbA1c) and serum sodium ion (Na+ ) multiplied by HbA1c (Na+ *HbA1c), is a feasible indicator for early FT1D diagnosis. MATERIALS AND METHODS: A total of 78 subjects were enroled, including 40 FT1D patients and 38 non-FT1D patients with DKA. We utilised receiver operating characteristic (ROC) curve analysis to determine the FI cut-off values between FT1D and non-FT1D groups and examined efficacies of FI based on statistics. RESULTS: ROC curve analyses showed that the maximum Youden's index for PG/HbA1c bonding to a cut-off value of 4.389, with the sensitivity of 75.0% and specificity of 81.6% in identifying FT1D from DKA. And optimal K+ /HbA1c cut-off value was 0.728 with a sensitivity of 90.0% and specificity of 84.2%. For Na+ *HbA1c, the best cut-off value was 923.65, and its sensitivity and specificity were 85% and 73.7%, respectively. CONCLUSIONS: These results suggested FI could work as a valid and convenient indicator for differentiating FT1D from initial DKA patients. FI (K+ /HbA1c) presented the best efficacy as an independent index.

The missing heritability in type 1 diabetes.

Type 1 diabetes (T1D) is a complex autoimmune disease characterized by an absolute deficiency of insulin. It affects more than 20 million people worldwide and imposes an enormous financial burden on patients. The underlying pathogenic mechanisms of T1D are still obscure, but it is widely accepted that both genetics and the environment play an important role in its onset and development. Previous studies have identified more than 60 susceptible loci associated with T1D, explaining approximately 80%-85% of the heritability. However, most identified variants confer only small increases in risk, which restricts their potential clinical application. In addition, there is still a so-called 'missing heritability' phenomenon. While the gap between known heritability and true heritability in T1D is small compared with that in other complex traits and disorders, further elucidation of T1D genetics has the potential to bring novel insights into its aetiology and provide new therapeutic targets. Many hypotheses have been proposed to explain the missing heritability, including variants remaining to be found (variants with small effect sizes, rare variants and structural variants) and interactions (gene-gene and gene-environment interactions; e.g. epigenetic effects). In the following review, we introduce the possible sources of missing heritability and discuss the existing related knowledge in the context of T1D.

Latent autoimmune diabetes in youth shows greater autoimmunity than latent autoimmune diabetes in adults: Evidence from a nationwide, multicenter, cross-sectional study.

AIM: To investigate the prevalence and clinical features of latent autoimmune diabetes in youth (LADY) diagnosed between 15 and 29 years old as a component of an age-related autoimmune diabetes spectrum. RESEARCH DESIGN AND METHODS: This nationwide, multicenter, cross-sectional study continuously included 19,100 newly diagnosed diabetes patients over 15 years old across China. LADY patients were screened from 1803 subjects aged between 15 and 29 years old, with the type 2 diabetes (T2D) phenotype and positive autoantibodies against glutamic acid decarboxylase (GADA), insulinoma-associated-2 (IA-2A) or zinc transporter-8 (ZnT8A). The clinical features of LADY, including metabolic status, ß-cell function and insulin resistance, were investigated and compared with those of latent autoimmune diabetes in adults (LADA) identified from 17,297 other subjects over 30 years old. The age-related characteristics of the latent autoimmune diabetes spectrum were explored. RESULTS: A total of 135 subjects were diagnosed as LADY, accounting for 9.0% of the T2D phenotypic youth. Compared with autoantibody-negative T2D patients, LADY patients had fewer metabolic syndrome, less insulin resistance and poorer ß-cell function, which were closely related to their autoantibody status (all p < 0.05). After stratifying LADA according to age, the GADA titer decreased across the LADY, "Y-LADA" (young LADA, onset age < 60 years old) and "E-LADA" (elderly LADA, onset age ≥ 60 years old) groups, while the prevalence of metabolic syndrome and level of ß-cell function increased (all p < 0.05). CONCLUSIONS: A high prevalence of LADY exists in youth with T2D phenotype. Latent autoimmune diabetes forms a continuous age-related spectrum from LADY to LADA, in which LADY shows greater autoimmunity.

Emerging roles of rare and low-frequency genetic variants in type 1 diabetes mellitus.

Type 1 diabetes mellitus (T1DM) is defined as an autoimmune disorder and has enormous complexity and heterogeneity. Although its precise pathogenic mechanisms are obscure, this disease is widely acknowledged to be precipitated by environmental factors in individuals with genetic susceptibility. To date, the known susceptibility loci, which have mostly been identified by genome-wide association studies, can explain 80%-85% of the heritability of T1DM. Researchers believe that at least a part of its missing genetic component is caused by undetected rare and low-frequency variants. Most common variants have only small to modest effect sizes, which increases the difficulty of dissecting their functions and restricts their potential clinical application. Intriguingly, many studies have indicated that rare and low-frequency variants have larger effect sizes and play more significant roles in susceptibility to common diseases, including T1DM, than common variants do. Therefore, better recognition of rare and low-frequency variants is beneficial for revealing the genetic architecture of T1DM and for providing new and potent therapeutic targets for this disease. Here, we will discuss existing challenges as well as the great significance of this field and review current knowledge of the contributions of rare and low-frequency variants to T1DM.

The Association of CTLA-4 rs231775 and rs3087243 Polymorphisms with Latent Autoimmune Diabetes in Adults: A Meta-Analysis.

Polymorphisms rs231775 and rs3087243 of cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) gene have been associated with risk of latent autoimmune diabetes in adults (LADA). However, the results were inconsistent. The purpose of this study was to quantitatively assess the relationship between polymorphisms rs231775 and rs3087243 of CTLA-4 and LADA in a larger pooled population by performing a meta-analysis. Systematic search for eligible studies was conducted in PubMed, Web of Science, and Embase. Case-control studies containing genotype frequencies of polymorphisms rs231775 or rs3087243 were selected, and pooled odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the associations between polymorphisms of CTLA-4 and LADA in allelic, dominant and recessive genetic model. A total of eleven studies, in which five studies reported rs231775, two studies reported rs3087342, and four studies reported both rs231775 and rs3087243, were identified. Among them, one study wasn't included in the following meta-analysis because the distribution of genotypes in the control group didn't comply with Hardy-Weinberg equilibrium. Significant associations with susceptibility to LADA were detected for rs231775 (785 cases and 3435 controls) and for rs3087243 (820 cases and 4824 controls) in overall population. Further subgroup analyses for ethnicity (Asian, Caucasian, and African) have also indicated the positive association between rs231775 and LADA. As for rs3087243, subgroup analyses detected the association between polymorphism and LADA in Caucasian population under recessive model. Polymorphisms rs231775 and rs3087243 of CTLA-4 gene are potential risk factors for LADA and may serve as novel genetic biomarkers of LADA.

Circulating circular RNAs profiles associated with type 1 diabetes.

AIMS: Circular RNAs (circRNAs) have recently been shown to exert important effects in human diseases. However, the roles of circRNAs in type 1 diabetes (T1D) are largely unknown. This study is to identify the circRNA expression profiles in the peripheral blood of patients with T1D and predict their potential regulatory mechanisms and coding potential. METHODS: CircRNA expression profiles were detected by Arraystar human circRNA microarray. With real-time PCR validation, multiple bioinformatics approaches were used to explore their biological functions, construct the circRNA-miRNA-mRNA interactions, and predict circRNA coding potential. RESULTS: A total of 93 differentially expressed circular transcripts were identified in T1D compared with controls, among which 30 were upregulated, and 63 were downregulated. Two circRNAs were identified to have significant differences by RT-PCR. Gene ontology analysis enriched terms such as cellular protein metabolic process, cytoplasm and zinc ion binding. The proposed molecular functions of these differentially expressed circRNAs, including cellular protein metabolic process, cytoplasm, and binding, may contribute to T1D. The most enriched pathways for these circRNAs were involved in protein processing in the endoplasmic reticulum. Hsa_circ_0072697 may be involved in 50 circRNA-miRNA-mRNA signalling pathways related to diabetes, such as circ_0072697-miR-15a-UBASH3A network. Furthermore, hsa_circ_0071224, hsa_circ_0002437, hsa_circ_0084429, hsa_circ_0072697, and hsa_circ_0000787 in T1D were considered to have the most coding potential involved in the pathogenesis of T1D. CONCLUSIONS: These results showed that circRNAs are aberrantly expressed in the peripheral blood of patients with T1D and may play potential actions by interactions with miRNA and circRNA-derived peptides in the development of T1D.

A new screening strategy and whole-exome sequencing for the early diagnosis of maturity-onset diabetes of the young.

AIMS: This study aimed to establish a systematic screening strategy to select candidates for genetic testing among patients with maturity-onset diabetes of the young (MODY) and to accomplish early diagnosis of MODY. MATERIALS AND METHODS: We enrolled 1478 sporadic patients from the outpatient department of endocrinology. Out of the1478 patients, 1279 participants were successfully screened according to the "AACM" strategy, which includes the age of onset, autoantibody to islet antigen, C-peptide and metabolic syndrome. Another six probands and their families who fulfilled the common clinical criteria for MODY were also examined for causative gene mutations. Whole-exome sequencing (WES) was performed to examine the mutations. RESULTS: A total of 24 out of 1279 sporadic patients with newly diagnosed diabetes were eligible for genetic testing. Mutations were found in 4/24 participants in the cohort, as well as in 2/6 pedigrees. A likely pathogenic alteration, a likely benign alteration and three alterations with uncertain significance were identified with WES. Most of the mutant genes recognised in our trial were not the most common causative genes of MODY, and all of the mutations were specifically reported in Asian patients only, suggesting a unique genetic background of MODY in different ethnicities. CONCLUSIONS: In this systematic study of MODY in a new-onset diabetes cohort, MODY cases were incorrectly diagnosed as type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM), suggesting that an observant clinician is necessary for early and correct MODY diagnosis. This systematic approach to screening is practical and specific enough to identify patients who are most appropriate for genetic testing.

Frequency, clinical features, inflammatory cytokines and genetic background of latent autoimmune diabetes in youth in youth-onset type 2 diabetes: Results from a nationwide, multicentre, clinic-based, cross-sectional study (LADA China).

AIM: To investigate the frequency, clinical phenotype, inflammatory cytokine levels and genetics of glutamic acid decarboxylase autoantibody (GADA)-positive phenotypic youth-onset type 2 diabetes. MATERIALS AND METHODS: This nationwide, multicentre, cross-sectional study included 5324 newly diagnosed subjects with phenotypic type 2 diabetes aged 15 years or older enrolled in the LADA China study. GADA was screened in 248 subjects with youth-onset type 2 diabetes aged 15-29 years. Subjects who presented as GADA-positive were defined as having latent autoimmune diabetes in youth (LADY). We added subjects with LADY, type 1 diabetes, type 2 diabetes and controls from the Diabetes Center of Central South University, and measured serum concentrations of interleukin-6, lipocalin 2, high-sensitivity C-reactive protein, adiponectin and human leukocyte antigen (HLA) genotyping in subjects with LADY, age- and sex-matched GADA-negative type 2 diabetes, type 1 diabetes and controls. RESULTS: Twenty-nine of the 248 subjects (11.7%) were GADA positive. Compared with subjects with type 2 diabetes, subjects with LADY were less probable to have metabolic syndrome (27.6% vs. 59.4%; p = .001). The fasting C-peptide levels tended to be lower in subjects with LADY than in subjects with type 2 diabetes, but the difference was not statistically significant (LADY vs. type 2 diabetes: 0.21 [0.17-0.64] vs. 0.47 [0.29-0.77] nmol/L; p = .11). The cytokine levels of subjects with LADY were indistinguishable from subjects with type 1 diabetes, but subjects with LADY presented increased adiponectin levels compared with subjects with type 2 diabetes after adjusting for age, sex and body mass index (7.19 [4.05-11.66] vs. 3.42 [2.35-5.74] µg/mL; p < .05). The frequency of total susceptible HLA genotypes (DR3/3, -3/9 and -9/9) in subjects with LADY and type 1 diabetes were similarly higher than controls (LADY and type 1 diabetes vs. controls: 21.4% and 30.8% vs. 2.6%, respectively; p < .001). CONCLUSIONS: A high GADA positivity was observed in youth-onset type 2 diabetes subjects in China. As subjects with LADY had an increased susceptible HLA genetic load and different cytokine levels compared with subjects with type 2 diabetes, differentiating LADY from phenotypic type 2 diabetes subjects is important.

Fulminant type 1 diabetes: A comprehensive review of an autoimmune condition.

Fulminant type 1 diabetes (FT1D) is a subset of type 1 diabetes characterized by extremely rapid pancreatic ß-cell destruction with aggressive progression of hyperglycaemia and ketoacidosis. It was initially classified as idiopathic type 1 diabetes due to the absence of autoimmune markers. However, subsequent studies provide evidences supporting the involvement of autoimmunity in rapid ß-cell loss in FT1D pathogenesis, which are crucial for FT1D being an autoimmune disease. This article highlights the role of immunological aspects in FT1D according to the autoimmune-associated genetic background, viral infection, innate immunity, adaptive immunity, and pancreas histology.

Distinct two different ages associated with clinical profiles of acute onset type 1 diabetes in Chinese patients.

BACKGROUND: There are abundant variations in the phenotypes and genetics of type 1 diabetes (T1D) patients across different races. This study aimed to assess differences between juvenile acute onset (JAO) and adult acute onset in Chinese T1D patients. METHODS: Seven hundred and fifty-one acute onset T1D patients were divided into two groups by the patient onset age as follows: the juvenile acute onset group (≤20 years, JAO group) and the adult acute onset group (>20 years, AAO group). Clinical characteristics, islet autoantibodies, and HLA class II haplotypes and genotypes were compared between these two groups. RESULTS: In comparison with AAO patients, JAO patients had significantly lower relative weights and lower triglyceride levels (P < .001, P < .01, respectively) but higher frequency of ketoacidosis (P < .001), higher daily insulin dosage (Pc  < .001), higher HbA1c (Pc  < .05), and higher HDL-cholesterol levels (Pc  < .01). The JAO group showed a higher prevalence of IA-2A, ZnT8A, and multiple autoantibodies than that in the AAO group (P < .001, P < .01, P < .001, respectively). Haplotypes for DRB1*0301-DQA1*03-DQB1*0201, DR3, DR4, DR9, and DR3/DR9 genotypes are highly associated with JAO susceptibility, whereas only DR3 and DR9 genotypes confer risk for AAO. In the JAO group but not the AAO group, DR3 is related to ZnT8A, and DR3/DR9 is related to IA-2A and multiple autoantibodies. CONCLUSIONS: These observations suggest that JAO patients markedly differ from AAO patients in their clinical manifestations and genetics in the Chinese T1D population. Notably, the DR3/DR9 genotype can facilitate the appearance of IA-2A or multiple autoantibodies in JAO patients.

Identification of a distinct phenotype of elderly latent autoimmune diabetes in adults: LADA China Study 8.

BACKGROUND: Latent autoimmune diabetes in adults (LADA) exhibits significant clinical heterogeneity, but the underlying causes remain unclear. The aim of this study was to investigate whether age of onset of LADA contributes to the observed clinical heterogeneity by comparing the clinical, metabolic, and immunogenetic characteristics between elderly and young LADA patients. METHODS: The cross-sectional study included a total of 579 patients with LADA which was further divided into elderly LADA (E-LADA) group (n = 135, age of onset ≥60 years) and young LADA (Y-LADA) group (n = 444, age of onset <60 years). Age-matched subjects with type 2 diabetes were served as control (E-T2D group, n = 622). Clinical characteristics, serum autoantibodies, and HLA-DQ haplotypes were compared among these groups. RESULTS: Compared with patients with Y-LADA, patients with E-LADA have better residual beta-cell function and higher level of insulin resistance (both P < .01), more metabolic syndrome characteristics, similar proportion of islet autoantibody positivity, and strikingly different HLA-DQ genetic background. In comparison with E-T2D patients, E-LADA patients tend to have similar metabolic syndrome prevalence, comparable C-peptide levels, and insulin resistance levels and share similar HLA-DQ genetic characteristics. CONCLUSIONS: Elderly LADA differs phenotypically and genetically from Y-LADA but has a clinical and genetic profile more similar to that of E-T2D. These distinct phenotypes could potentially help physicians better manage patients with E-LADA.

Factors Influencing Patients' Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey.

BACKGROUND: Diabetes poses heavy social and economic burdens worldwide. Diabetes management apps show great potential for diabetes self-management. However, the adoption of diabetes management apps by diabetes patients is poor. The factors influencing patients' intention to use these apps are unclear. Understanding the patients' behavioral intention is necessary to support the development and promotion of diabetes app use. OBJECTIVE: This study aimed to identify the determinants of patients' intention to use diabetes management apps based on an integrated theoretical model. METHODS: The hypotheses of our research model were developed based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). From April 20 to May 20, 2019, adult patients with diabetes across China, who were familiar with diabetes management apps, were surveyed using the Web-based survey tool Sojump. Structural equation modeling was used to analyze the data. RESULTS: A total of 746 participants who met the inclusion criteria completed the survey. The fitness indices suggested that the collected data fit well with the research model. The model explained 62.6% of the variance in performance expectancy and 57.1% of the variance in behavioral intention. Performance expectancy and social influence had the strongest total effects on behavioral intention (ß=0.482; P=.001). Performance expectancy (ß=0.482; P=.001), social influence (ß=0.223; P=.003), facilitating conditions (ß=0.17; P=.006), perceived disease threat (ß=0.073; P=.005), and perceived privacy risk (ß=-0.073; P=.012) had direct effects on behavioral intention. Additionally, social influence, effort expectancy, and facilitating conditions had indirect effects on behavioral intention that were mediated by performance expectancy. Social influence had the highest indirect effects among the three constructs (ß=0.259; P=.001). CONCLUSIONS: Performance expectancy and social influence are the most important determinants of the intention to use diabetes management apps. Health care technology companies should improve the usefulness of apps and carry out research to provide clinical evidence for the apps' effectiveness, which will benefit the promotion of these apps. Facilitating conditions and perceived privacy risk also have an impact on behavioral intention. Therefore, it is necessary to improve facilitating conditions and provide solid privacy protection. Our study supports the use of UTAUT in explaining patients' intention to use diabetes management apps. Context-related determinants should also be taken into consideration.

Persistence of glutamic acid decarboxylase antibody (GADA) is associated with clinical characteristics of latent autoimmune diabetes in adults: a prospective study with 3-year follow-up.

BACKGROUND: Latent autoimmune diabetes in adults (LADA) is a form of autoimmune diabetes with heterogeneous features. This study aimed to investigate the persistent status of glutamic acid decarboxylase antibody (GADA) in patients with LADA and its association with clinical characteristics. METHODS: This 3-year follow-up study enrolled 107 LADA and 40 type 2 diabetes mellitus (T2DM) patients from October 2005 to December 2013. GADA titer, epitopes, and clinical characteristics (including fasting C-peptide and HbA1c ) in LADA patients were assayed annually. The human leukocyte antigen DQ (HLA-DQ) genotypes were also analysed. The relationship between the persistence of GADA and the clinical characteristics was investigated in LADA patients. RESULTS: After 3-year follow-up, 36.5% (39/107) LADA patients remained GADA positive (persistently positive group), 19.6% (21/107) patients fluctuated positively and negatively (fluctuating group), and 43.9% (47/107) patients became GADA negative, among which 61.7% (29/47) seroconversions occurred within 6 months of follow-up (transiently positive group). The GADA persistently positive group possessed higher titer of GADA than transiently positive group and fluctuant group (all p = 0.000), higher reactivities to middle and C-terminal regions of GAD65 than those in transiently positive group (p = 0.001 and p = 0.000, respectively), and lower baseline fasting C-peptide level than T2DM patients and transiently positive group [415(31-1862) vs 620(220-1658) pmol/L, p = 0.014; and 415(31-1862) vs 705(64-1541) pmol/L, p = 0.017, respectively]. The GADA transiently positive group retained a higher HbA1c level when compared with T2DM patients (p = 0.023). In addition, the three LADA groups shared similar frequencies of HLA-DQ susceptible haplotypes that were higher as compared with T2DM. The GADA persistently positive group had a higher annual declining rate in fasting C-peptide than T2DM patients [-14%(-174-33%) vs -1%(-27-28%), p = 0.007]. CONCLUSION: The LADA patients with GADA transient positivity account for a large proportion, whose clinical characteristics and HLA-DQ haplotypes are different from those of T2DM. The patients with high titer GADA and reactivities to GADA65 middle and C-terminal regions showed a persistent GADA positivity, in which a worse baseline and accelerated decline of ß-cell function need early intervention in the practice. Copyright © 2016 John Wiley & Sons, Ltd.

Hsa_circRNA_405498 and hsa_circRNA_100033 Serve as Potential Biomarkers for Differential Diagnosis of Type 1 Diabetes.

CONTEXT: The role of circular RNAs (circRNAs) in type 1 diabetes (T1D) is largely unknown. OBJECTIVE: We aimed to identify some circRNAs as differential diagnostic biomarkers for T1D to distinguish between patients with latent autoimmune diabetes in adults (LADA) and type 2 diabetes (T2D). METHODS: The circRNA expression profiles were determined by Arraystar human circRNA microarray in T1D compared to controls (n = 6 each). The differentially expressed circRNAs were validated by real-time quantitative polymerase chain reaction using a validation cohort with 20 T1D and 20 controls. The diagnostic performances of the candidate circRNAs and the clinical parameters were assessed using the logistic least absolute shrinkage and selection operator (LASSO) regression model in a larger cohort with 457 individuals, including patients with T1D, T2D, and LADA, and controls. RESULTS: We identified 110 differentially expressed circular transcripts (53 upregulated and 57 downregulated) in T1D patients compared with controls. Further analysis showed that the levels of hsa_circRNA_405498 and hsa_circRNA_100033 were significantly downregulated in T1D compared to controls (both P < .05). Moreover, the expression levels of these 2 circRNAs showed sequential downregulation from controls, patients with T2D, LADA, to T1D (P < .05). The area under the curve (AUC) of receiver operating characteristic plots in logistic LASSO regression model showed high diagnostic accuracy for combination model with the 2 circRNAs and some clinical parameters in distinguishing T1D from LADA (AUC = 0.915), T2D (AUC = 0.993), and controls (AUC = 0.992). CONCLUSION: Our study demonstrated that hsa_circRNA_405498 and hsa_circRNA_100033 are promising novel differential diagnostic biomarkers for T1D.

Zinc transporter 8 autoantibody (ZnT8A) could help differentiate latent autoimmune diabetes in adults (LADA) from phenotypic type 2 diabetes mellitus.

BACKGROUND: The ZnT8A is an independent marker for diagnosis of type 1 diabetes mellitus. We investigated the distribution and clinical features of ZnT8A positive latent autoimmune diabetes in adult (LADA) patients to explore the potential diagnostic application. METHODS: A total of 3062 phenotypic T2DM patients were randomly selected from a national multicenter study - the LADA China Study. Radioligand binding assays were applied to detect the presence of ZnT8A, GADA and IA-2A. HbA1c , fasting C-peptide and serum lipid levels were followed up with ZnT8A positive patients. RESULTS: The positive prevalence of ZnT8A, GADA and IA-2A in phenotypic T2DM patients was 1.99% (61/3062), 6.43% (197/3062) and 1.96% (60/3062), respectively. The ZnT8A positivity was lower than that of GADA(x² = 74.8, p < 0.001) but was comparable with that of IA-2A (p > 0.05). The positivity of ZnT8A in IA-2A positive patients was higher than that in GADA positive patients (38.3% vs. 10.7%, x² = 24.8, p < 0.001). On the basis of GADA and IA-2A positivity, the ZnT8A assay enhanced the diagnostic prevalence of LADA from 7.58 to 8.62%. The LADA patients who were positive for ZnT8A had higher systolic blood pressure when compared with GADA positive cases (p = 0.049) and higher total cholesterol levels when compared with antibody-negative T2DM patients (p = 0.035). CONCLUSION: The detection of ZnT8A at the basis of GADA and IA-2A can improve diagnostic sensitivity of Chinese LADA.

Identification of hsa_circRNA_100632 as a novel molecular biomarker for fulminant type 1 diabetes.

Objective: Circular RNAs (circRNAs) are associated with diabetes, but their role in fulminant type 1 diabetes (FT1D) is unclear. Thus, we characterized the role of circRNAs in FT1D. Research design and methods: CircRNA expression profiles were detected in peripheral blood mononuclear cells (PBMCs) of five FT1D patients and five controls using a circRNA microarray. An independent cohort comprised of 40 FT1D cases, 75 type 1 diabetes (T1D) cases, and 115 controls was used to verify the circRNAs using quantitative real-time polymerase chain reaction (qRT-PCR). Spearman's correlation analysis and receiver operating characteristic (ROC) curve analysis were performed to determine the clinical diagnostic capability of circRNAs. Bioinformatics was used to identify potential biological functions and circRNA-miRNA-mRNA interactions. Results: There were 13 upregulated and 13 downregulated circRNAs in PBMCs of patients with FT1D. Five circRNAs were further verified in a second cohort. Hsa_circRNA_100632 was significantly upregulated in the FT1D and T1D groups. Hsa_circRNA_100632 was differentiated between patients with FT1D and controls [area under the curve (AUC) 0.846; 95% CI 0.776-0.916; P<0.0001] as well as between patients with FT1D and patients with T1D (AUC 0.726; 95% CI 0.633-0.820; P<0.0001). Bioinformatics analysis showed that hsa_circRNA_100632 may be involved in 47 circRNA-miRNA-mRNA signaling pathways associated with diabetes. Conclusions: CircRNAs were aberrantly expressed in PBMCs of patients with FT1D, and hsa_circRNA_100632 may be a diagnostic marker of FT1D.