OBJECTIVES

In Asia, younger individuals (below age 45) are diagnosed to have type 2 diabetes with increased rates of obesity defined by lower BMI yet with greater visceral adiposity (waist circumference and waisthip ratios). The prevalence data on type 1 diabetes is not well established, considered to be low, but is seen to be increasing as well. This changing phenotype therefore, presents a clinical dilemma in terms of correctly classifying diabetes and deciding on the consequent appropriate treatment. Distinguishing type 1 from type 2 diabetes has become more difficult with type 2 diabetes dramatically increasing in young adults and children. This study aims to define the characteristics of diabetes among young adults in the Philippines to provide a basis for appropriate management amidst changes in diabetes phenotypes seen globally.

METHODS

In this cross-sectional analytic study, we characterized the demographic, metabolic, and autoimmune features of diabetes among young adult Filipinos aged 18 to 45 years old consulting at a tertiary referral center in Manila, Philippines. Baseline serum A1c, FBS, 75-g oral glucose tolerance test, insulin, serum C-peptide, insulin autoantibodies, leptin, adiponectin, lipid profile, and thyroid function tests were obtained from the participants and analyzed. The homeostasis model assessment (HOMA) was used to estimate the insulin sensitivity.

RESULTS

A total of 348 patients with diabetes were included, with females comprising two-thirds of the participants. The mean age at diagnosis of diabetes was 35.9±7.22 years. The mean BMI was 28.12 kg/m2, with median waist to hip ratio (WHR) of 0·93. Metabolic syndrome was found in 60% of participants and 67.82% were obese by body mass index. The mean A1c was 9.07±2.52%. Good glucose control (A1c less than 7.0%) was seen in 23% of participants  while nearly half (48%) had HbA1c which was >9.0%. The median levels of fasting insulin and C-peptide were 12.62 (range 1.33–90.42) mIU/L and 0.78 ng/mL (range 0–16.2), respectively. 

Included participants were diagnosed with diabetes within a year and as such, majority did not have any micro- or macrovascular complications. The most common diabetes complication was sensory neuropathy detected by monofilament testing, which was found in 28% of participants, followed by non-proliferative diabetic retinopathy in 13%. A history of previous diabetic ketoacidosis was found in 10 patients (2.87%). Glutamic acid decarboxylase (GAD) and insulin auto-antibodies were found in 3.2% and 19.3% of participants, respectively. Approximately half (51.73%) of the participants were insulin resistant by HOMA-IR.

CONCLUSION

In contrast with Caucasians and other Asians, diabetes among young Filipino adults is associated with lower BMI but with a similarly high visceral adiposity as shown by an elevated WHR. Metabolic syndrome with insulin resistance as defined by a variety of indices is predominant. Type 1 diabetes with autoantibodies occur in only a small fraction of this population. Data derived from this work can provide a framework for cluster analysis towards personalized management specific to this population.

Human ; Acids ; Adiponectin ; Adiposity ; Adult ; Aged ; Antibodies ; Asia ; Asian ; Asian Continental Ancestry Group ; Autoantibodies ; Body Mass Index ; C-peptide ; Carboxy-lyases ; Child ; Cluster Analysis ; Demography ; Diabetes Complications ; Diabetes Mellitus ; Diabetes Mellitus, Type 1 ; Diabetes Mellitus, Type 2 ; Diabetic Ketoacidosis ; Diabetic Retinopathy ; Diagnosis ; Fasting ; Female ; Glucose ; Glucose Tolerance Test ; Glutamate Decarboxylase ; Glutamic Acid ; Insulin ; Insulin Resistance ; Ketosis ; Leptin ; Lipids ; Metabolic Syndrome ; Obesity ; Patients ; Peptides ; Phenotype ; Philippines ; Population ; Prevalence ; Serum ; Therapeutics ; Thyroid Gland ; Thyroid Function Tests ; Young Adult

Abstract Introduction: Type 2 diabetes mellitus (T2DM) is a major global health concern characterized by insulin resistance, hyperglycemia, and chronic inflammation. Interest in natural adjunctive therapies has increased, particularly in mangosteen (Garcinia mangostana), which contains xanthone compounds in the peel with potential antidiabetic properties. Methods: This systematic review followed PRISMA 2020 guidelines. Literature searches were conducted using PubMed, Google Scholar, and ClinicalKey up to December 2022 for studies assessing mangosteen peel extract (MPE) or α-mangostin in diabetic human subjects. Eligible studies included randomized controlled and quasi-experimental trials reporting glycemic or metabolic outcomes. Risk of bias was evaluated using the Cochrane RoB tool. The primary result of this study is to evaluate the effects of mangosteen peel extract supplementation on key glycemic outcomes in patients with T2DM, specifically fasting blood glucose (FBG), HOMA-IR, and HbA1c. Results: A total of two studies (n=2) met the inclusion criteria. A randomized controlled pilot trial reported significant improvement in insulin sensitivity (HOMA-IR −53.2% vs −15.2%; p = 0.004) after 26 weeks of standardized mangosteen extract. A small quasi-experimental study reported a significant reduction in FBG following 7 days of mangosteen peel decoction. Discussion: Limited clinical evidence indicates that mangosteen peel extract may improve insulin sensitivity and lower fasting glucose in T2DM. However, the conclusions are limited by the small number of available studies, the short follow-up duration in one trial, and variability in extract preparation. Conclusion: Mangosteen peel extract demonstrates promising glycemic benefits, including improved insulin sensitivity and reduced fasting glucose. However, the available evidence remains limited by small sample sizes, short follow-up periods, and heterogeneity in extract formulations. Larger randomized controlled trials using standardized preparations are required before clinical recommendations can be made.
Garcinia mangostana ; mangosteen peel extract ; &alpha ; -mangostin ; type 2 diabetes mellitus ; insulin resistance ; oxidative stress

Introduction: Insulin resistance and progressive beta-cell dysfunction are key components of the pathophysiology of type 2 diabetes mellitus (T2DM). The triglyceride-to-highdensity lipoprotein cholesterol (TG/HDL) ratio has been widely used as a marker of insulin resistance. In addition, testosterone deficiency has been associated with adverse metabolic profiles and T2DM. However, the relationship between testosterone levels, insulin resistance, and betacell function in patients with T2DM remains incompletely understood. Methodology: A cross-sectional study was conducted involving 25 male patients with T2DM attending the diabetic clinic at Dr. Mohammad Hoesin General Hospital. Serum testosterone, C-peptide, TG, and HDL levels were obtained from routine clinical data. The TG/HDL ratio was calculated as an index of insulin resistance. Normality was assessed using the Shapiro–Wilk test, and due to the non-normal distribution of key variables, Spearman correlation analysis was applied. Results: A strong inverse correlation was observed between testosterone levels and TG/HDL ratio (r = -0.860, p <0.001), indicating that higher insulin resistance was associated with lower testosterone levels. In addition, TG/HDL ratio showed a strong negative correlation with C-peptide levels (r = -0.741, p <0.001), suggesting reduced beta-cell function in the presence of increased insulin resistance. Conclusion In patients with T2DM, increased insulin resistance is strongly associated with lower testosterone levels and reduced beta-cell function. These findings highlight the interaction between metabolic dysfunction and hormonal status in middle-aged and elderly patients with T2DM
Diabetes Mellitus, Type 2 ; Insulin Resistance ; Testosterone

Introduction: Acromegaly is usually diagnosed by elevated age- and sex-adjusted insulin-like growth factor-1 (IGF-1) levels reflecting chronic growth hormone (GH) excess. IGF-1 is preferred as a screening biomarker due to its longer half-life and reduced pulsatility compared with GH. However, IGF1 levels may be disproportionately low or only modestly elevated in certain clinical contexts, leading to diagnostic uncertainty. Pituitary apoplexy is one such condition in which acute tumor hemorrhage or infarction may disrupt sustained GH secretion and attenuate IGF-1 production Case: A 48-year-old female with hypertension, type 2 diabetes mellitus, and dyslipidemia presented with a 2-day history of severe headache, vomiting, and visual disturbance, on a background of progressive acral enlargement over 2 years. Examination revealed coarse facial features, prognathism, enlarged hands, and cranial nerve involvement. Magnetic resonance imaging demonstrated an invasive sellar– suprasellar pituitary macroadenoma with optic chiasmal compression and cavernous sinus encasement. Intravenous dexamethasone was initiated pre-operatively due to a significant mass effect. Biochemical evaluation showed markedly elevated random GH levels (>50 ng/mL) with only mildly elevated IGF-1 at 1.19 times the upper limit of normal, below the threshold at which confirmatory oral glucose tolerance testing may be omitted according to current guidelines. Other pituitary axes suggested evolving hypopituitarism. During admission, she developed severe hyperglycemia with marked insulin resistance, requiring high-dose insulin therapy (approximately 1.5 U/kg/day). She underwent urgent transsphenoidal surgery, with histopathology confirming a pituitary neuroendocrine tumor with extensive hemorrhage and infarction, consistent with pituitary apoplexy. Postoperatively, GH levels were suppressed to <5 ng/mL, insulin requirements decreased markedly, and hormone replacement was initiated for secondary adrenal insufficiency and central hypothyroidism. Conclusion This case highlights that IGF-1 levels below conventional diagnostic thresholds do not exclude clinically significant acromegaly, particularly in the setting of pituitary apoplexy. Integration of clinical phenotype, GH levels, and imaging findings is essential to avoid diagnostic delay and ensure timely management.
Acromegaly ; Insulin Resistance ; Pituitary Apoplexy

OBJECTIVE: To investigate the therapeutic potential of pseudolaric acid B (PAB) on non-alcoholic fatty liver disease (NAFLD) and its underlying molecular mechanism in vitro and in vivo. METHODS: Eight-week-old male C57BL/6J mice (n=32) were fed either a normal chow diet (NCD) or a high-fat diet (HFD) for 8 weeks. The HFD mice were divided into 3 groups according to a simple random method, including HFD, PAB low-dose [10 mg/(kg·d), PAB-L], and PAB high-dose [20 mg/(kg·d), PAB-H] groups. After 8 weeks of treatment, glucose metabolism and insulin resistance were assessed by oral glucose tolerance test (OGTT) and insulin tolerance test (ITT). Biochemical assays were used to measure the serum and cellular levels of total cholesterol (TC), triglycerides (TG), aspartate aminotransferase (AST), alanine aminotransferase (ALT), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). White adipose tissue (WAT), brown adipose tissue (BAT) and liver tissue were subjected to hematoxylin and eosin (H&E) staining or Oil Red O staining to observe the alterations in adipose tissue and liver injury. PharmMapper and DisGeNet were used to predict the NAFLD-related PAB targets. Peroxisome proliferator-activated receptor alpha (PPARα) pathway involvement was suggested by Kyoto Encyclopedia of Genes and Genomes (KEGG) and search tool Retrieval of Interacting Genes (STRING) analyses. Luciferase reporter assay, cellular thermal shift assay (CETSA), and drug affinity responsive target stability assay (DARTS) were conducted to confirm direct binding of PAB with PPARα. Molecular dynamics simulations were applied to further validate target engagement. RT-qPCR and Western blot were performed to assess the downstream genes and proteins expression, and validated by PPARα inhibitor MK886. RESULTS: PAB significantly reduced serum TC, TG, LDL-C, AST, and ALT levels, and increased HDL-C level in HFD mice (P<0.01). Target prediction analysis indicated a significant correlation between PAB and PPARα pathway. PAB direct target binding with PPARα was confirmed through luciferase reporter assay, CETSA, and DARTS (P<0.05 or P<0.01). The target engagement between PAB and PPARα protein was further confirmed by molecular dynamics simulations and the top 3 amino acid residues, LEU321, MET355, and PHE273 showed the most significant changes in mutational energy. Subsequently, PAB upregulated the genes expressions involved in lipid metabolism and mitochondrial biogenesis downstream of PPARα (P<0.05 or P<0.01). Significantly, the PPARα inhibitor MK886 effectively reversed the lipid-lowering and PPARα activation properties of PAB (P<0.05 or P<0.01). CONCLUSION PAB mitigates lipid accumulation, ameliorates liver damage, and improves mitochondrial biogenesis by binding with PPARα, thus presenting a potential candidate for pharmaceutical development in the treatment of NAFLD.
Animals ; PPAR alpha/metabolism* ; Non-alcoholic Fatty Liver Disease/pathology* ; Male ; Mice, Inbred C57BL ; Lipid Metabolism/drug effects* ; Diterpenes/therapeutic use* ; Organelle Biogenesis ; Diet, High-Fat ; Humans ; Mice ; Liver/metabolism* ; Insulin Resistance ; Mitochondria/metabolism* ; Molecular Docking Simulation

OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) and hypertension are common metabolic disorders, both closely associated with insulin resistance (IR), suggesting potential shared pathological mechanisms. This study aims to investigate the mediating role of IR in the relationship between hypertension and NAFLD, and to evaluate the applicability and modeling value of various IR surrogate indices in predicting NAFLD risk. METHODS: A total of 280 976 individuals who underwent health examinations at the Health Management Center of the Third Xiangya Hospital of Central South University between August 2017 and December 2021 were included. NAFLD was diagnosed based on abdominal ultrasound findings, and hypertension was defined according to the criteria of the Chinese Guidelines for the Management of Hypertension. Demographic information, anthropometric indices, and biochemical parameters were collected, and multiple IR surrogate indices were constructed, including the triglyceride-glucose index (TyG) and its derivatives, as well as the metabolic score for insulin resistance (METS-IR). Group comparisons were performed between hypertensive and non-hypertensive participants, as well as between NAFLD and non-NAFLD participants. Pearson correlation analysis was applied to assess the associations of metabolic parameters and IR indices with NAFLD. Furthermore, mediation models were constructed to explore the mediating role of IR in the "hypertension-NAFLD" relationship. Finally, parametric models and machine learning algorithms were compared to evaluate their predictive performance and value in assessing NAFLD risk in this population. RESULTS: The prevalence of NAFLD was significantly higher in hypertensive individuals than in non-hypertensive participants (63.61% vs 33.79%, P<0.001), accompanied by elevated IR levels and adverse metabolic features. Correlation analysis and variable importance rankings across multiple models consistently identified TyG-waist circumference (TyG-WC) and METS-IR as the IR indices most strongly associated with NAFLD. In mediation analysis, the TyG-WC pathway explained 32.03% of the total effect, and the METS-IR pathway explained 17.02%. Interaction analysis showed that hypertension status may attenuate the mediating effect of IR (all interaction estimates were negative). In prediction model comparisons, the simplified model incorporating sex, age, WC, TyG-WC, and METS-IR demonstrated good performance in the test set. Logistic regression and its regularized form (LASSO regression) achieved an accuracy of 0.83, receiver operating characteristic (ROC)-area under the curve (AUC) of 0.91, and a Brier score of 0.12, comparable to ensemble models (random forest and XGBoost), with consistently stable performance across different algorithms. CONCLUSIONS IR plays a significant mediating role in the association between hypertension and NAFLD, with TyG-WC identified as a key indicator showing strong mechanistic relevance and predictive value. Risk prediction models based on IR surrogate indices demonstrate advantages in simplicity and interpretability, providing empirical support for the early screening and individualized prevention of NAFLD in the general population.
Humans ; Non-alcoholic Fatty Liver Disease/complications* ; Insulin Resistance ; Hypertension/epidemiology* ; Male ; Female ; Middle Aged ; Risk Factors ; Adult ; Machine Learning ; Triglycerides/blood*

BACKGROUND

There is an increasing population of elderly patients with diabetes. Malnutrition has been associated to higher morbidity and mortality among these patients. Currently, there are limited data on malnutrition and its risk factors among elderly patients with diabetes in the Philippines.

OBJECTIVES

This study determined the prevalence, clinical profile and risk factors associated with malnutrition and identify the association of malnutrition with glycemic status and insulin resistance among elderly patients with diabetes.

METHODOLOGY

This is a cross-sectional study involving 117 elderly patients with diabetes seen at a tertiary hospital in Manila, Philippines. Demographic, anthropometric, and clinical data were collected. Mini-Nutritional Assessment-Short form (MNA-SF), Simple FRAIL questionnaire and Mini-cog assessment were administered. Patients were categorized into normal, at risk for malnutrition, and malnourished using the MNA-SF. Comparative and logistic regression analyses were performed to identify the clinical profile and possible risk factors.

RESULTS

The prevalence of malnutrition was 1.71% with 29.06% at risk for malnutrition. There was no significant difference in demographic, anthropometric and biochemical parameters between the different nutrition statuses. High BMI, central obesity, and increased insulin resistance were observed across all nutrition status. Frail patients had almost five times increased likelihood (OR=4.94, p=0.043) of developing malnutrition. Good glycemic control had two-fold decreased likelihood (OR=0.44, p=0.050) of malnutrition. Insulin resistance was not associated with malnutrition.

CONCLUSION

Malnutrition is prevalent among elderly patients with diabetes. Frailty and poor glycemic control increased the risk of malnutrition. Therefore, malnutrition screening should be routinely performed among these patients. Diabetes management among elderly patients should include maintaining good glycemic control and preventing frailty and its complications.

Human ; Malnutrition ; Diabetes Mellitus ; Glycemic Control ; Insulin Resistance

OBJECTIVE: To investigate the effect of moxibustion on central insulin resistance related proteins of the rats suffering from diabetic cognitive decline, and analyze the underlying mechanism of moxibustion for cognition improvement. METHODS: Using the intraperitoneal injection of STZ combined with a high-fat diet, the rat model of diabetic cognitive decline were prepared. Twenty successfully-modeled rats were assigned randomly into a model group and a moxibustion group, 10 rats in each one. Besides, a blank group was set up with 10 rats collected. In the moxibustion group, suspending moxibustion was applied to "Baihui" (GV20), "Shenting" (GV24) and "Dazhui" (GV14) at the same time, 20 min in each intervention, once a day, and 6 interventions were delivered weekly and the duration of treatment was consecutive 4 weeks. The random blood glucose was measured using glucometer, and the learning-memory ability was detected by water maze test. HE staining was used to observe the morphology of neurons in the hippocampal tissue, real-time PCR assay was to detect mRNA expression of insulin receptor substrate 1 (IRS1), phosphatidylinositol 3-kinase (PI3K) and protein kinase B (AKT) in the hippocampal tissue. The Western blot method was employed to detect the protein expression of IRS1, PI3K, AKT, phosphorylated IRS1 (p-IRS1), phosphorylated PI3K (p-PI3K) and phosphorylated AKT (p-AKT) in the hippocampal tissue, and the ratio of p-IRS1/IRS1, p-PI3K/PI3K and p-AKT/AKT was calculated separately. The immunofluorescence intensity of p-IRS1, p-PI3K, and p-AKT was measured using immunofluorescence. RESULTS: Compared with the blank group, the rats of the model group exhibited higher random blood glucose (P<0.001), longer escape latency (P<0.001), severe pathological damage in the hippocampus, lower mRNA expression of IRS1, PI3K, and AKT (P<0.001), reduced ratio of p-IRS1/IRS1, p-PI3K/PI3K and p-AKT/AKT (P<0.001), and declined immunofluorescence intensity of p-IRS1, p-PI3K, and p-AKT in the hippocampal tissue (P<0.001). In comparison with the model group, for the rats of the moxibustion group, the random blood glucose decreased (P<0.05), the escape latency was shortened (P<0.01), the hippocampal pathological damage was attenuated, the mRNA expression of IRS1, PI3K and AKT increased (P<0.01), the ratio of p-IRS1/IRS1, p-PI3K/PI3K and p-AKT/AKT was elevated (P<0.01, P<0.05), and the immunofluorescence intensity of p-IRS1, p-PI3K, and p-AKT in the hippocampal tissue was strengthened (P<0.01, P<0.05). CONCLUSION In diabetic rats experiencing cognitive decline, moxibustion can enhance the learning-memory ability, which may be attributed to modulating the protein expression of IRS1, PI3K, and AKT, and their phosphorylation, activating insulin signal transduction, and reducing central insulin resistance.
Animals ; Moxibustion ; Insulin Resistance ; Rats ; Male ; Insulin Receptor Substrate Proteins/genetics* ; Rats, Sprague-Dawley ; Humans ; Proto-Oncogene Proteins c-akt/genetics* ; Cognitive Dysfunction/genetics* ; Diabetes Mellitus, Experimental/therapy* ; Hippocampus/metabolism* ; Acupuncture Points ; Phosphatidylinositol 3-Kinases/genetics*

OBJECTIVE: To investigate the effects of Huayu Tongluo (transforming stasis and unblocking collaterals) moxibustion on cognitive function and insulin resistance in patients with type 2 diabetes mellitus (T2DM) and cognitive decline. METHODS: Ninety patients with T2DM and cognitive decline were randomly divided into a moxibustion group (n=45, 3 cases dropped out, 2 cases were eliminated) and a waiting moxibustion group (n=45, 2 cases dropped out). Both groups received routine hypoglycemic treatment for 12 weeks. The moxibustion group additionally received Huayu Tongluo moxibustion at Baihui (GV20), Shenting (GV24), and Dazhui (GV14). Pressing moxibustion was applied to Baihui (GV20) for 20 min, while suspended moxibustion was applied to Shenting (GV24) and Dazhui (GV14) for 20 min each. Treatments of moxibustion were administered every other day (three times per week) for 12 weeks. All patients were followed up for 12 weeks, during which their original hypoglycemic medication regimen was maintained. Before treatment, after 12 weeks of treatment, and at the 12-week follow-up, the scores of Montreal cognitive assessment (MoCA), mini-mental state examination (MMSE), Addenbrooke's cognitive examination Ⅲ (ACE-Ⅲ), symbol digit modalities test (SDMT), and Athens insomnia scale (AIS) and the insulin resistance index (HOMA-IR) were observed in the two groups. RESULTS: Compared with before treatment, the MoCA scores, MMSE scores, ACE-Ⅲ subscale scores (attention, memory, language fluency, language, visuospatial ability) and total scores, and SDMT scores were increased (P<0.01), while the AIS scores were decreased (P<0.05) in the moxibustion group after treatment and at follow-up. Compared with before treatment, the MMSE score, ACE-Ⅲ subscale scores (memory, attention) and total score after treatment, as well as the ACE-Ⅲ subscale scores (language, memory, attention) and total score, and SDMT score at follow-up were increased (P<0.05, P<0.01) in the waiting moxibustion group. Compared with before treatment, HOMA-IR was decreased in both groups after treatment and at follow-up (P<0.01). At follow-up, ACE-Ⅲ subscale scores (attention, memory), and the total score in the moxibustion group were lower than those after treatment (P<0.05, P<0.01), and the ACE-Ⅲ language subscale score, total ACE-Ⅲ score, and SDMT score in the waiting moxibustion group were higher than those after treatment (P<0.01, P<0.05). After treatment and at follow-up, compared with the waiting moxibustion group, the moxibustion group had higher MoCA scores, MMSE scores, SDMT scores, ACE-Ⅲ subscale scores (attention, memory, language fluency) and total scores (P<0.05, P<0.01), and lower HOMA-IR (P<0.05). CONCLUSION Huayu Tongluo moxibustion can effectively improve cognitive function in patients with T2DM and cognitive decline. This improvement may be associated with the reduction in insulin resistance.
Humans ; Insulin Resistance ; Diabetes Mellitus, Type 2/complications* ; Male ; Female ; Moxibustion ; Middle Aged ; Aged ; Cognition ; Acupuncture Points ; Adult ; Cognitive Dysfunction/therapy*

The increasing prevalence of aging has led to a rising incidence of comorbidity of sarcopenia and obesity, posing significant burdens on socioeconomic and public health. Current research has systematically explored the pathogenesis of each condition; however, the mechanisms underlying their comorbidity remain unclear. This study reviews the current literature on sarcopenia and obesity in the aging population, focusing on their shared biological mechanisms, which include loss of autophagy, abnormal macrophage function, mitochondrial dysfunction, and reduced sex hormone secretion. It also identifies metabolic mechanisms such as insulin resistance, vitamin D metabolism abnormalities, dysregulation of iron metabolism, decreased levels of nicotinamide adenine dinucleotide, and gut microbiota imbalances. Additionally, this study also explores the important role of genetic factors, such as alleles and microRNAs, in the co-occurrence of sarcopenia and obesity. A better understanding of these mechanisms is vital for developing clinical interventions and preventive strategies.
Humans ; Sarcopenia/physiopathology* ; Obesity/physiopathology* ; Aging/physiology* ; Autophagy/physiology* ; Insulin Resistance ; Comorbidity ; Vitamin D/metabolism* ; Gonadal Steroid Hormones/metabolism* ; Gastrointestinal Microbiome ; Mitochondria ; MicroRNAs