Background: Insulinoma is one of the causes of recurrent hypoglycemia, one of the chief complaints for emergency department admission. The gold standard in diagnosing insulinoma is a 72-hour fasting test which is inconvenient and inefficient as it requires hospitalization. Research has found that measurement of insulin and C-peptide during OGTT may help diagnose insulinoma. We aimed to assess the diagnostic value of OGTT in diagnosing insulinoma. Methodology: The literature search was conducted on 19 August 2022 using several databases (MEDLINE, Scopus, Embase, and ScienceDirect). All studies that measured OGTT as diagnostic tools in diagnosing insulinoma and 72-hour fasting test as reference standard were included. The quality assessment of the selected studies was based on the Centre of Evidence-Based Medicine University of Oxford and the Quality Assessment of Diagnostic Accuracy-2 tool (QUADAS-2). Analysis of the included studies was performed qualitatively. This study was registered on PROSPERO (CRD42022360205). Results: A total of two case-control studies (106 patients) were included, which were at risk of bias and low concern of applicability. Both studies demonstrated that the combination of insulin and C-peptide levels measured during OGTT had high specificity, sensitivity, positive predictive value, and negative predictive value in diagnosing insulinoma compared to the reference standard. A logistic regression model of 8.305 – (0.441 × insulin 2-h/0-h) – (1.679 × C-peptide 1-h/0-h) > 0.351 has the highest diagnostic value in one study (AUC 0.97, Sensitivity 86.5%, Specificity 95.2%, PPV 94.1, NPV 88.9). Conclusion The measurement of 0-h and 2-h insulin and C-peptide levels during 2-h OGTT was found in two small case-control studies with a total of 106 patients to have good sensitivity and specificity. However, due to these limitations, future research is still needed to validate the potential use of OGTT for the diagnosis of insulinoma.
Insulinoma ; Glucose Tolerance Test

BACKGROUND

Diabetes Mellitus Type 2 is a significant global health issue with a high prevalence in the Philippines. Managing this condition effectively is crucial, and digital technologies, particularly smartphone (mHealth) applications, have emerged as a potential tool in diabetes self-management.

This study evaluated the effectiveness of smartphone (mHealth) application use in achieving glycemic control among adults with Type 2 Diabetes Mellitus, focusing on HbA1c levels and medication adherence.

This systematic review and meta-analysis, adhering to PRISMA guidelines, analyzed randomized controlled trials from databases like PubMed and Embase, comparing interventions using mHealth applications with standard care. The primary measures were HbA1c levels and medication adherence.

Ten studies involving 20,984 participants were included in the meta-analysis. Using mHealth applications led to an average HbA1c reduction of 0.36%, indicating improved glycemic control. There was considerable heterogeneity (I2 = 91%) because of the clinical and methodological diversity of the included studies. Subgroup analysis showed that the younger and older age groups, shorter and longer T2DM duration, and lower and higher HbA1c baseline benefited from its use. Sensitivity analysis still showed high heterogeneity (95%-97%), reflecting clinical diversity. A narrative analysis of two studies highlighted the utility of mHealth applications in tracking diet, physical activity, and vital stats, aiding medication adherence through reminders and data sharing with healthcare providers.

This systematic review and meta-analysis showed the effectiveness of mHealth application use in achieving glycemic control among adults with Type 2 Diabetes Mellitus by improving HbA1c levels and medication adherence. Integrating mHealth applications as adjuncts in family and community medicine as part of personalized care for managing type 2 diabetes in the Philippines can help achieve glycemic control and medication adherence. Future studies should focus on longitudinal assessments, exploring cultural and linguistic factors in the Filipino context to optimize diabetes care within this specialized medical framework.

Humans ; Diabetes Mellitus, Type 1 ; Hypoglycemia/chemically induced* ; Hypoglycemic Agents/adverse effects* ; China ; Blood Glucose ; Insulin

Humans ; Glycated Hemoglobin ; Diabetes Mellitus, Type 1 ; Blood Glucose ; Diabetes Mellitus, Type 2

OBJECTIVE: To observe the clinical efficacy of moxibustion combined with coptis chinensis ointment sealing on plaque psoriasis complicated with obesity. METHODS: A total of 52 patients of plaque psoriasis complicated with obesity were randomized into an observation group (26 cases) and a control group (26 cases, 2 cases dropped off). Coptis chinensis ointment sealing was adopted in the control group. On the basis of the treatment in the control group, moxibustion was applied at ashi point (area of local target lesions), Zhongwan (CV 12) and bilateral Zusanli (ST 36), Fenglong (ST 40), Quchi (LI 11), Tianshu (ST 25), Shangjuxu (ST 37) in the observation group. The treatment was given 30 min each time, once a day for 4 weeks in both groups. The psoriasis area and severity index (PASI) score, obesity related indexes (body mass, waist circumference, body mass index [BMI]), triglyceride, cholesterol, uric acid and plasma glucose were compared before and after treatment, and the clinical efficacy was evaluated in the two groups. RESULTS: After treatment, the PASI scores were decreased compared with those before treatment in the two groups (P<0.01), and the PASI score in the observation group was lower than that in the control group (P<0.05); the body mass, waist circumference, BMI, triglyceride, cholesterol, uric acid and plasma glucose were decreased compared with those before treatment in the observation group (P<0.01, P<0.05), the triglyceride and cholesterol in the observation group were lower than those in the control group (P<0.05). The total effective rate was 53.8% (14/26) in the observation group, which was superior to 20.8% (5/24) in the control group (P<0.05). CONCLUSION Moxibustion combined with coptis chinensis ointment sealing can effectively improve the clinical symptoms in patients of plaque psoriasis complicated with obesity.
Humans ; Moxibustion ; Blood Glucose ; Ointments ; Uric Acid ; Psoriasis/therapy* ; Triglycerides ; Obesity/therapy*

Humans ; Child, Preschool ; Insulin/therapeutic use* ; Diabetes Mellitus, Type 1/drug therapy* ; Retrospective Studies ; Hypoglycemic Agents/therapeutic use* ; Diabetes Mellitus, Type 2 ; Blood Glucose

Humans ; Heart Failure/drug therapy* ; Diabetes Mellitus, Type 2/drug therapy* ; Glucose ; Sodium

OBJECTIVES: To explore the mechanism of Chinese medicine Jiangzhuo mixture regulating glucose and lipid metabolism in obese rats. METHODS: Thirty healthy male SD rats were randomly divided into normal control group, model control group, and Jiangzhuo mixture treatment group, with 10 rats in each group. The rats in the normal control group were fed with normal diet, the obesity model was induced by feeding high-fat diet in the model control group and the Jiangzhuo mixture treatment group, the rats in the treatment group were given with Jiangzhuo mixture 50 g/kg by gavage. After 8 weeks of intervention, the blood glucose (GLU), total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) levels were measured in the three groups. Quantitative reverse transcription PCR were used to detect the expression levels of PR domain containing 16 (PRDM16) and uncoupling protein 1 (UCP1) in white and brown adipose tissues of the rats in each group; Western blotting was used to detect the expression of PRDM16 in the white and brown adipose tissue of rats, and Toll-like receptor 4 (TLR4), nuclear factor-κB (NF-κB) and inhibitor of NF-κB alpha (IκBα) in the white adipose tissue; immunohistochemistry was used to detect the expression of UCP1 protein in white and brown adipose tissues. RESULTS: Compared with the normal control group, the white fat weight (P<0.01), white fat coefficient (P<0.05) and Lee's coefficient (P<0.01) were significantly increased in the model control group; the contents of GLU, TC, TG and LDL-C were all increased, and the content of TG was significantly increased (P<0.05) in the model control group. The mRNA and protein expression levels of PRDM16 and UCP1 in white fat and brown fat were significantly decreased (P<0.05) in the model control group. Compared with the model control group, the white fat weight and white fat coefficient and Lee's coefficient were significantly reduced in the Jiangzhuo mixture treatment group (all P<0.01), the levels of GLU, TC, TG, and LDL-C in the the treatment group were all reduced, and the content of TG was reduced more obviously (P<0.01); expression levels of PRDM16 and UCP1 mRNA and protein were increased in brown and white adipose tissue. Compared with the normal control group, the expression levels of TLR4, phospho-IκBα and NF-κB-p65 proteins in white adipose tissue of the model control group were significantly increased (all P<0.01), while the expression levels of these proteins in the treatment group were significantly lower than those in the model control group (all P<0.05). CONCLUSIONS Jiangzhuo mixture can alleviate high-fat diet-induced increase in body fat, abnormal expression of biochemical indexes and promote the expression of key proteins including UCP1 and PRDM16 in white and brown adipose tissues by regulating TLR4/IκBα/NF-κB signaling pathway.
Rats ; Male ; Animals ; NF-kappa B/metabolism* ; Rats, Sprague-Dawley ; Glucose ; Lipid Metabolism ; Toll-Like Receptor 4 ; Cholesterol, LDL/metabolism* ; NF-KappaB Inhibitor alpha/metabolism* ; Medicine, Chinese Traditional ; Signal Transduction ; Triglycerides ; Transcription Factors/metabolism* ; Obesity ; RNA, Messenger

A 2-year-old boy was admitted to Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine in Nov 30^th, 2018, due to polydipsia, polyphagia, polyuria accompanied with increased glucose levels for more than 2 weeks. He presented with symmetrical short stature [height 81 cm (－2.2 SD), weight 9.8 kg (－2.1 SD), body mass index 14.94 kg/m² (P₁₀-P₁₅)], and with no special facial or physical features. Laboratory results showed that the glycated hemoglobin A1c was 14%, the fasting C-peptide was 0.3 ng/mL, and the islet autoantibodies were all negative. Oral glucose tolerance test showed significant increases in both fasting and postprandial glucose, but partial islet functions remained (post-load C-peptide increased 1.43 times compared to baseline). A heterozygous variant c.1366C>T (p.R456C) was detected in GATA6 gene, thereby the boy was diagnosed with a specific type of diabetes mellitus. The boy had congenital heart disease and suffered from transient hyperosmolar hyperglycemia after a patent ductus arteriosus surgery at 11 months of age. Insulin replacement therapy was prescribed, but without regular follow-up thereafter. The latest follow-up was about 3.5 years after the diagnosis of diabetes when the child was 5 years and 11 months old, with the fasting blood glucose of 6.0-10.0 mmol/L, and the 2 h postprandial glucose of 17.0-20.0 mmol/L.
Male ; Child ; Humans ; Child, Preschool ; Infant ; Diabetes Mellitus, Type 2/complications* ; Mutation, Missense ; C-Peptide/genetics* ; China ; Insulin/genetics* ; Glucose ; Blood Glucose ; GATA6 Transcription Factor/genetics*

BACKGROUND: In recent years, immunotherapy represented by programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) immunosuppressants has greatly changed the status of non-small cell lung cancer (NSCLC) treatment. PD-L1 has become an important biomarker for screening NSCLC immunotherapy beneficiaries, but how to easily and accurately detect whether PD-L1 is expressed in NSCLC patients is a difficult problem for clinicians. The aim of this study was to construct a Nomogram prediction model of PD-L1 expression in NSCLC patients based on 18F-fluorodeoxy glucose (18F-FDG) positron emission tomography/conputed tomography (PET/CT) metabolic parameters and to evaluate its predictive value. METHODS: Retrospective collection of 18F-FDG PET/CT metabolic parameters, clinicopathological information and PD-L1 test results of 155 NSCLC patients from Inner Mongolia People's Hospital between September 2016 and July 2021. The patients were divided into the training group (n=117) and the internal validation group (n=38), and another 51 cases of NSCLC patients in our hospital between August 2021 and July 2022 were collected as the external validation group according to the same criteria. Then all of them were categorized according to the results of PD-L1 assay into PD-L1+ group and PD-L1- group. The metabolic parameters and clinicopathological information of patients in the training group were analyzed by univariate and binary Logistic regression, and a Nomogram prediction model was constructed based on the screened independent influencing factors. The effect of the model was evaluated by receiver operating characteristic (ROC) curve, calibration curve and decision curve analysis (DCA) in both the training group and the internal and external validation groups. RESULTS: Binary Logistic regression analysis showed that metabolic tumor volume (MTV), gender and tumor diameter were independent influences on PD-L1 expression. Then a Nomogram prediction model was constructed based on the above independent influences. The ROC curve for the model in the training group shows an area under the curve (AUC) of 0.769 (95%CI: 0.683-0.856) with an optimal cutoff value of 0.538. The AUC was 0.775 (95%CI: 0.614-0.936) in the internal validation group and 0.752 (95%CI: 0.612-0.893) in the external validation group. The calibration curves were tested by the Hosmer-Lemeshow test and showed that the training group (χ2=0.040, P=0.979), the internal validation group (χ2=2.605, P=0.271), and the external validation group (χ2=0.396, P=0.820) were well calibrated. The DCA curves show that the model provides clinical benefit to patients over a wide range of thresholds (training group: 0.00-0.72, internal validation group: 0.00-0.87, external validation group: 0.00-0.66). CONCLUSIONS The Nomogram prediction model constructed on the basis of 18F-FDG PET/CT metabolic parameters has greater application value in predicting PD-L1 expression in NSCLC patients.
Humans ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Positron Emission Tomography Computed Tomography ; Lung Neoplasms/drug therapy* ; Fluorodeoxyglucose F18/therapeutic use* ; Nomograms ; Retrospective Studies ; B7-H1 Antigen/metabolism* ; Glucose/therapeutic use* ; Positron-Emission Tomography/methods*