As a relatively novel technique for drug delivery, the needle-free injection technique is characterized by transporting the drug liquid to the designated subcutaneous position through a high-speed micro-jet. Although this technique has been applied in many fields, the research on its drug dispersion mechanism and injection performance is insufficient. The presented study aims to identify critical parameters during the injection process and describe their influence on the injection effect. The injection completion rate and performance of a needle-free injector under various operating conditions were compared based on mouse experiments. The results show that the nozzle diameter imposes a more significant influence on jet characteristics than other injection parameters. Moreover, the injection completion rate increases with the nozzle diameter. The nozzle diameters of 0.14 mm and 0.25 mm correspond to injection completion rates of 89.7% and 95.8%, respectively. Furthermore, by analyzing the rate of blood glucose change in the tested mice, it is found that insulin administration through the needle-free injection can achieve a drug effect duration longer than 120 min, which is better than that obtained using conventional needle-syringe technique. In summary, the obtained conclusions can provide an important reference for the optimal design and extending application of the air-powered needle-free injector.
Animals ; Mice ; Insulin/administration & dosage* ; Needles ; Injections, Subcutaneous/methods* ; Injections, Jet/instrumentation* ; Drug Delivery Systems/instrumentation* ; Blood Glucose/analysis* ; Equipment Design

Insulin-like growth factor 2 (IGF2) is a critical endocrine mediator implicated in male reproductive physiology. To investigate the correlation between IGF2 protein levels and various aspects of male infertility, specifically focusing on sperm quality, inflammation, and DNA damage, a cohort of 320 male participants was recruited from the Women's Hospital, Zhejiang University School of Medicine (Hangzhou, China) between 1 st January 2024 and 1 st March 2024. The relationship between IGF2 protein concentrations and sperm parameters was assessed, and Spearman correlation and linear regression analysis were employed to evaluate the independent associations between IGF2 protein levels and risk factors for infertility. Enzyme-linked immunosorbent assay (ELISA) was used to measure IGF2 protein levels in seminal plasma, alongside markers of inflammation (tumor necrosis factor-alpha [TNF-α] and interleukin-1β [IL-1β]). The relationship between seminal plasma IGF2 protein levels and DNA damage marker phosphorylated histone H2AX (γ-H2AX) was also explored. Our findings reveal that IGF2 protein expression decreased notably in patients with asthenospermia and teratospermia. Correlation analysis revealed nuanced associations between IGF2 protein levels and specific sperm parameters, and low IGF2 protein concentrations correlated with increased inflammation and DNA damage in sperm. The observed correlations between IGF2 protein levels and specific sperm parameters, along with its connection to inflammation and DNA damage, underscore the importance of IGF2 in the broader context of male reproductive health. These findings lay the groundwork for future research and potential therapeutic interventions targeting IGF2-related pathways to enhance male fertility.
Humans ; Male ; Insulin-Like Growth Factor II/metabolism* ; Infertility, Male/genetics* ; DNA Damage ; Adult ; Inflammation/metabolism* ; Spermatozoa/metabolism* ; Semen Analysis ; Semen/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Histones/metabolism* ; Interleukin-1beta/metabolism*

OBJECTIVES: To compare serum insulin-like growth factor 1 (IGF-1) and peak growth hormone (GH) levels between girls with isolated premature thelarche (IPT) and central precocious puberty (CPP), to construct a prediction model for progression from IPT to CPP, and to assess its diagnostic value. METHODS: Girls diagnosed with IPT (n=111) between January 2022 and August 2023 at the China-Japan Friendship Hospital and the Xinjiang Production and Construction Corps Hospital were retrospectively included. According to follow-up outcomes, participants were categorized into a CPP group (35 cases) and an IPT group (36 cases). A clinical prediction model for progression to CPP was constructed by multivariable logistic regression, and the contributions of IGF-1 and peak GH were evaluated. Restricted cubic spline analysis was used to assess the dose-response relationships of IGF-1 and peak GH with CPP. Decision curve analysis was applied to evaluate clinical utility. RESULTS: IGF-1 and peak GH were higher in the CPP group than in the IPT group (P<0.05). Compared with model 1 (without IGF-1 and peak GH), model 2 (with IGF-1 and peak GH) showed significantly higher area under the curve, integrated discrimination improvement, and net reclassification improvement (all P<0.05). Model 2 (χ 2=6.054, P=0.889) also demonstrated better goodness-of-fit than model 1 (χ 2=7.717, P=0.634). Nonlinear dose-response relationships were observed for peak GH and IGF-1 with CPP (P for overall trend <0.05; P for nonlinearity <0.05). Decision curve analysis indicated that combined prediction using IGF-1 and peak GH provided greater net benefit than either biomarker alone. CONCLUSIONS Peak GH and IGF-1 are closely associated with progression from IPT to CPP in girls. A clinical prediction model incorporating peak GH and IGF-1 can improve prediction of progression to CPP and yield higher net benefit.
Humans ; Female ; Puberty, Precocious/etiology* ; Insulin-Like Growth Factor I/analysis* ; Child ; Retrospective Studies ; Human Growth Hormone/blood* ; Predictive Value of Tests ; Child, Preschool ; Logistic Models

Diabetes and its complications pose a serious threat to human life and health. It has become a public health problem of wide concern worldwide. Currently, diabetes is mainly treated with insulin injection in clinic. However, manual insulin injection still has many shortcomings. In recent years, with the deepening of research, it has been found that an automated insulin delivery system (AID), which combines a continuous glucose monitoring device with an insulin pump, can significantly improve the effectiveness of diabetes treatment and reduce the incidence of complications in patients. This paper firstly introduces the composition of the AID system and its working principle, and then details the development history and current status of the related technologies from the aspects of continuous glucose monitoring technology, insulin pumps and the development of closed-loop control algorithms, etc. Finally, this paper looks forward to the application prospect and future development of AID system in the field of diabetes treatment, providing theoretical reference for further research.
Humans ; Insulin Infusion Systems ; Insulin/administration & dosage* ; Blood Glucose Self-Monitoring/instrumentation* ; Diabetes Mellitus/drug therapy* ; Algorithms ; Hypoglycemic Agents/administration & dosage* ; Blood Glucose/analysis* ; Pancreas, Artificial ; Automation

OBJECTIVES: To investigate the expression levels of ghrelin and liver-expressed antimicrobial peptide-2 (LEAP-2) in children with idiopathic short stature (ISS) to provide reference for further understanding the etiology of short stature. METHODS: A prospective study was conducted from December 2021 to October 2023, involving 46 children diagnosed with ISS (ISS group) and 46 healthy children with normal height (control group) at the First Affiliated Hospital of Shihezi University. General data and serum levels of ghrelin and LEAP-2 were compared between the two groups. The predictive value of these two indicators for ISS was evaluated using receiver operating characteristic (ROC) curve analysis. RESULTS: The serum level of ghrelin in the ISS group was higher than that in the control group, while the level of LEAP-2 was lower (P<0.05). The ratio of LEAP-2 to ghrelin was lower in the ISS group compared to the control group (P<0.05). Multivariate logistic regression analysis showed that HtSDS, IGF-1, ghrelin, LEAP-2, and the ratio of LEAP-2/ghrelin were independently associated with the occurrence of ISS (P<0.05). ROC curve analysis indicated that the AUCs for ghrelin, LEAP-2, the ratio of ghrelin to LEAP-2, and their combination in predicting ISS were all >0.8. The optimal cutoff values for ghrelin, LEAP-2, and the LEAP-2/ghrelin ratio were 5 607 pg/mL, 1 155 pg/mL, and 0.212, respectively. In children with ISS, ghrelin showed a negative correlation with chronological age, LEAP-2, and the LEAP-2/ghrelin ratio (P<0.05), while it was positively correlated with growth rate and peak growth hormone levels (P<0.05). LEAP-2 was negatively correlated with growth rate, peak growth hormone levels, and ghrelin (P<0.05), but positively correlated with chronological age and the LEAP-2/ghrelin ratio (P<0.05). CONCLUSIONS Ghrelin and LEAP-2 are correlated with the occurrence of ISS, which may provide references for the diagnosis and etiological analysis of children with ISS.
Humans ; Ghrelin/blood* ; Male ; Child ; Female ; Prospective Studies ; Child, Preschool ; Growth Disorders/etiology* ; Antimicrobial Cationic Peptides/blood* ; Body Height ; Adolescent ; Insulin-Like Growth Factor I/analysis* ; Blood Proteins

OBJECTIVES: To establish an efficient and clinically applicable predictive model and scoring system for central precocious puberty (CPP) in girls, and to develop a diagnostic prediction application. METHODS: A total of 342 girls aged 4 to 9 years with precocious puberty were included, comprising 216 cases of CPP and 126 cases of isolated premature thelarche. Lasso regression was used to screen for predictive factors, and logistic regression was employed to establish the predictive model. Additionally, a scoring system was constructed using the evidence weight binning method. Data from 129 girls aged 4 to 9 years with precocious puberty were collected for external validation of the scoring system. RESULTS: The logistic regression model incorporated five predictive factors: age, insulin-like growth factor-1 (IGF-1), serum follicle-stimulating hormone (FSH), the luteinizing hormone (LH)/FSH baseline ratio, and uterine thickness. The calculation formula was: ln(P/1-P)=-8.439 + 0.216 × age (years) + 0.008 × IGF-1 (ng/mL) + 0.159 × FSH (mIU/mL) + 9.779 × LH/FSH baseline ratio + 0.284 × uterine thickness (mm). This model demonstrated good discriminative ability (area under the curve=0.892) and calibration (Hosmer-Lemeshow test P>0.05). The scoring system based on this logistic regression model showed good discrimination in both the prediction model and external validation datasets, with areas under the curve of 0.895 and 0.805, respectively. Based on scoring system scores, the population was stratified into three risk levels: high, medium, and low. In the high-risk group, the prevalence of CPP exceeded 90%, while the proportion was lower in the medium and low-risk groups. CONCLUSIONS The CPP diagnostic predictive model established for girls aged 4 to 9 years exhibits good diagnostic performance. The scoring system can effectively and rapidly stratify the risk of CPP, providing valuable reference for clinical decision-making.
Humans ; Puberty, Precocious/diagnosis* ; Female ; Child, Preschool ; Child ; Follicle Stimulating Hormone/blood* ; Insulin-Like Growth Factor I/analysis* ; Luteinizing Hormone/blood* ; Logistic Models

OBJECTIVES: Patients with classical type 1 diabetes mellitus (T1DM) require lifelong dependence on exogenous insulin therapy due to pancreatic beta-cell destruction and absolute insulin deficiency. T1DM accounts for about 90% of children with diabetes in China, with a rapid increase in incidence and a younger-age trend. Epidemiological studies have shown that the overall glycated haemoglobin (HbA1c) and compliance rate are low in Chinese children with T1DM. Optimal glucose control is the key for diabetes treatment, and maintaining blood glucose within the target range can prevent or delay chronic vascular complications in patients with T1DM. Therefore, this study aims to investigate the glycemic control of children with T1DM from Hunan and Henan Province with flash glucose monitoring system (FGMS), and to explore factors associated with glycemic variability. METHODS: A total of 215 children with T1DM under 14 years old were enrolled continuously in 16 hospitals from August 2017 to August 2020. All subjects wore a FGMS device to collect glucose data. Correlation of HbA1c, duration of diabetes, or glucose scan rates with glycemic variability was analyzed. Glucose variability was compared according to the duration of diabetes, HbA1c, glucose scan rates and insulin schema. RESULTS: HbA1c and duration of diabetes were positively correlated with mean blood glucose, standard deviation of glucose, mean amplitude of glucose excursions (MAGE), and coefficient of variation (CV) of glucose (all P<0.01). The glucose scan rates during FGMS wearing was significantly positively correlated with time in range (TIR) (P=0.001) and negatively correlated with MAGE and mean duration of hypoglycemia (all P<0.01). Children with duration ≤1 year had lower time below range (TBR) and MAGE when compared with those with duration >1 year (all P<0.05). TIR and TBR in patients with HbA1c ≤7.5% were higher (TIR: 65% vs 45%, TBR: 5% vs 4%, P<0.05), MAGE was lower (7.0 mmol/L vs 9.4 mmol/L, P<0.001) than those in HbA1c >7.5% group. Compared to the multiple daily insulin injections group, TIR was higher (60% vs 52%, P=0.006), MAGE was lower (P=0.006) in the continuous subcutaneous insulin infusion group. HbA1c was lower in the high scan rates (≥14 times/d) group (7.4% vs 8.0%, P=0.046), TIR was significantly higher (58% vs 47%, P<0.001), and MAGE was lower (P<0.001) than those in the low scan rate (<14 times/d) group. CONCLUSIONS The overall glycemic control of T1DM patients under 14 years old in Hunan and Henan Province is under a high risk of hypoglycemia and great glycemic variability. Shorter duration of diabetes, targeted HbA1c, higher glucose scan rates, and CSII are associated with less glycemic variability.
Adolescent ; Blood Glucose ; Blood Glucose Self-Monitoring ; Child ; Diabetes Mellitus, Type 1/drug therapy* ; Glucose ; Glycated Hemoglobin A/analysis* ; Humans ; Hypoglycemia/prevention & control* ; Hypoglycemic Agents/therapeutic use* ; Insulin/therapeutic use*

OBJECTIVE: To study the cytokine patterns in patients with rheumatoid arthritis (RA) and healthy individuals and identify candidate serum biomarkers for clinical diagnosis of RA. METHODS: This study was conducted among 59 patients diagnosed with RA in our hospital from 2015 to 2019 with 46 age- and gender-matched healthy subjects who received regular physical examinations in our hospital as the control group. Serological autoimmune profiles of 5 RA patients and 5 healthy control subjects were obtained from human cytokine microarrays. We selected 4 differentially expressed cytokines (LIMPII, ROBO3, Periostin and IGFBP-4) and 2 soluble cytokine receptors of interest (2B4 and Tie-2) and examined their serum levels using enzyme-linked immunosorbent assay in 54 RA patients and 41 healthy control subjects. Spearman correlation test was performed to assess the correlation of serum cytokine and soluble receptor expression levels with the clinical features including rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), disease activity score (DAS28) and health assessment questionnaire (HAQ). Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic capability of these cytokines. RESULTS: We identified 6 dysregulated cytokines and soluble receptors (2B4, LIMPII, Tie-2, ROBO3, periostin and IGFBP-4) in RA patients (P < 0.01). The serum levels of LIMPII, ROBO3 and periostin were significantly correlated with the disease activity indicators including RF (P < 0.001), CRP (P < 0.001), DAS28 (P < 0.001) and HAQ (P < 0.001) in RA patients. Among the 6 candidate cytokines, 2B4 showed the largest area under the curve (AUC) of 0.861 for RA diagnosis (P < 0.001), followed then by LIMPII, ROBO3, periostin, Tie-2 and IGFBP-4. CONCLUSION Serum levels of LIMPII, ROBO3 and periostin can be indicative of the disease activity of RA, and serum 2B4, LIMPII, periostin, ROBO3, IGFBP-4 and Tie-2 levels may serve as biomarkers for the diagnosis of RA.
Arthritis, Rheumatoid/diagnosis* ; Biomarkers ; C-Reactive Protein ; Cytokines ; Humans ; Insulin-Like Growth Factor Binding Protein 4 ; Protein Array Analysis ; Receptors, Cell Surface

OBJECTIVES: To compare the differences in clinical characteristics between Type 1 diabetes mellitus (T1DM) and fulminant Type 1 diabetes mellitus (FT1DM), and to reduce the missed diagnosis, misdiagnosis, and mistreatment of FT1DM by medical staff. METHODS: A total of 101 hospitalized patients with T1DM (including 8 cases of FT1DM) were enrolled in this study from Changsha Central Hospital between June 2012 and December 2018. Clinical characteristics of the 8 FT1DM patients were collected and compared with all T1DM patients. RESULTS: All FT1DM patients were adult with the average age of (30.25±5.28) years old, accompanied by severe diabetic ketoacidosis (DKA) occurred within 1 week after onset. Moreover, pancreatic beta cells in these patients were destroyed and the islet-related antibodies were negative, while the serum pancreatic enzyme levels were increased. Compared with classic T1DM patients, the plasma glucose levels in FT1DM patients were much higher [(41.89±12.54) mmol/L vs (22.57±9.74) mmol/L], but glycosylated hemoglobin (HbA1c) and fasting C peptide levels were significantly lower [(6.08±0.41)% vs (10.87±2.46%)%, CONCLUSIONS The onset time of FT1DM patients is very urgent via driving DKA. These patients have higher blood glucose concentration than classic T1DM patients, accompanied by electrolyte disturbances, impaired renal function, partially impaired liver function, as well as gastrointestinal symptoms and elevated trypsin. Most FTDM patients are adolescents and adults with no gender difference, especially pregnant women who are at high risk. Lifelong insulin dependence in FT1DM patients should be paid more attention in clinical treatment.
Adolescent ; Adult ; Diabetes Mellitus, Type 1/complications* ; Diabetic Ketoacidosis ; Female ; Glycated Hemoglobin A/analysis* ; Humans ; Insulin ; Pregnancy ; Sex Factors ; Young Adult

The global obesity epidemic and associated metabolic diseases require alternative biological targets for new therapeutic strategies. In this study, we show that a phytochemical sulfuretin suppressed adipocyte differentiation of preadipocytes and administration of sulfuretin to high fat diet-fed obese mice prevented obesity and increased insulin sensitivity. These effects were associated with a suppressed expression of inflammatory markers, induced expression of adiponectin, and increased levels of phosphorylated ERK and AKT. To elucidate the molecular mechanism of sulfuretin in adipocytes, we performed microarray analysis and identified activating transcription factor 3 (Atf3) as a sulfuretin-responsive gene. Sulfuretin elevated Atf3 mRNA and protein levels in white adipose tissue and adipocytes. Consistently, deficiency of Atf3 promoted lipid accumulation and the expression of adipocyte markers. Sulfuretin’s but not resveratrol’s anti-adipogenic effects were diminished in Atf3 deficient cells, indicating that Atf3 is an essential factor in the effects of sulfuretin. These results highlight the usefulness of sulfuretin as a new anti-obesity intervention for the prevention of obesity and its associated metabolic diseases.
Activating Transcription Factor 3 ; Adipocytes ; Adiponectin ; Adipose Tissue, White ; Animals ; Diet* ; Insulin Resistance ; Metabolic Diseases* ; Mice ; Mice, Obese* ; Microarray Analysis ; Obesity* ; RNA, Messenger