Metabolic Measurements Research Articles

The Impact of Nutrient Solution Electrical Conductivity on Leaf Transcriptome Contributing to the Fruit Quality of Cucumber Grown in Coir Cultivation

Soilless cultivation is increasingly utilized in supplying essential nutrients for greenhouse crops. However, the impact of coir cultivation under varying electrical conductivity (EC) conditions on cucumber growth and fruit quality, particularly through the regulation of gene expression during the vegetative stage, remains uncertain. In this study, we performed metabolic measurements on cucumber in both vegetative and reproductive stages under three different EC conditions and found metabolic products such as some primary metabolites (cellulose, many uncharged amino acids) and some secondary metabolites (rutin, cucurbitacin B) accumulated the most under EC of 5 dS·m−1. Next, we conducted transcriptome profiling in cucumber leaves, revealing that the function of genes significantly regulated by EC was associated with photosynthesis, many anabolic processes, and membrane transport. Finally, a set of genes contributed to metabolites related to the fruit quality of cucumber were identified by the Orthogonal Partial Least Squares (O2PLS) analysis, including genes involved in the biosynthesis of amino acids, polysaccharides, and many secondary metabolites. Taken together, these findings suggest that coir cultivation in greenhouses with moderate EC can induce a transcriptome-wide change in gene expression, thereby contributing to enhancing the abundance of metabolites associated with cucumber fruit quality.

The Ecosystem Ecology of Coral Reefs Revisited

Early studies in coral reefs showed that simple measurements of ecosystem metabolism (primary production and ecosystem respiration) were useful for understanding complex reef dynamics at an ecosystem scale. These studies also helped establish the field of ecosystem ecology, but contemporary coral reef ecology has shifted away from these origins. In this manuscript, I describe the historical development of a theory of ecosystem metabolism that was foundational for the discipline of ecosystem ecology, and I update this theory to fully incorporate dynamics on coral reefs (and all ecosystems). I use this updated theory to (a) identify important controls on coral reef processes and (b) provide a rationale for patterns of coral reef carbon dynamics that allow me to generate hypotheses of coral reef ecosystem production. I then use existing data to broadly evaluate these hypotheses. My findings emphasize the importance of integrating measurements of ecosystem metabolism with current approaches to improve the development of theory and the efficacy of conservation and management of coral reefs.

Analysis of stallion spermatozoa metabolism using Agilent Seahorse XFp Technology

Sperm metabolism consists of a sophisticated network of biochemical reactions and varies between species, resulting in different metabolic strategies for ATP production to maintain sperm functionality. ATP can be produced through glycolysis or in the mitochondria by oxidative phosphorylation (OXPHOS). Since OXPHOS is the predominant metabolic pathway in horses spermatozoa, various assessments of mitochondrial activity are used to evaluate fertility, utilizing techniques such as fluorescent probes analysed via microscopy or flow cytometry, and polarographic electrode assays to measure current flow in response to an applied voltage. Though, these methods are limited by low throughput, as they assess mitochondrial activity at a single time point under a specific treatment condition. This study explores, for the first time, the application of the Agilent Seahorse XFp Technology to evaluate metabolism in stallion spermatozoa. This method enables real-time measurement of cellular metabolism across multiple samples or experimental conditions simultaneously. Ejaculates from eight different stallions were collected, and pools were prepared from three of them. Sperm viability and mitochondrial activity were evaluated by fluorescence microscopy, sperm motility by a computer-assisted sperm analysis system, and sperm metabolism was analysed via the Seahorse XFp analyser. Results confirmed a preference for OXPHOS over glycolysis in ATP production in stallion sperm, with mitochondria contributing significantly to total ATP generation. The Seahorse XFp Technology proved effective in evaluating equine sperm bioenergetics, offering insights into metabolic pathways critical for sperm function. In conclusion, this technology grants a new method for high-throughput analysis of sperm metabolism and quality, which could be applied to future reproductive studies in male equine fertility.

Impact of Porosity and Stiffness of 3D Printed Polycaprolactone Scaffolds on Osteogenic Differentiation of Human Mesenchymal Stromal Cells and Activation of Dendritic Cells.

Despite the potential of extrusion-based printing of thermoplastic polymers in bone tissue engineering, the inherent nonporous stiff nature of the printed filaments may elicit immune responses that influence bone regeneration. In this study, bone scaffolds made of polycaprolactone (PCL) filaments with different internal microporosity and stiffness was 3D-printed. It was achieved by combining three fabrication techniques, salt leaching and 3D printing at either low or high temperatures (LT/HT) with or without nonsolvent induced phase separation (NIPS). Printing PCL at HT resulted in stiff scaffolds (modulus of elasticity (E): 403 ± 19 MPa and strain: 6.6 ± 0.1%), while NIPS-based printing at LT produced less stiff and highly flexible scaffolds (E: 53 ± 10 MPa and strain: 435 ± 105%). Moreover, the introduction of porosity by salt leaching in the printed filaments significantly changed the mechanical properties and degradation rate of the scaffolds. Furthermore, this study aimed to show how these variations influence proliferation and osteogenic differentiation of human bone marrow-derived mesenchymal stromal cells (hBMSC) and the maturation and activation of human monocyte-derived dendritic cells (Mo-DC). The cytocompatibility of the printed scaffolds was confirmed by live-dead imaging, metabolic activity measurement, and the continuous proliferation of hBMSC over 14 days. While all scaffolds facilitated the expression of osteogenic markers (RUNX2 and Collagen I) from hBMSC as detected through immunofluorescence staining, the variation in porosity and stiffness notably influenced the early and late mineralization. Furthermore, the flexible LT scaffolds, with porosity induced by NIPS and salt leaching, stimulated Mo-DC to adopt a pro-inflammatory phenotype marked by a significant increase in the expression of IL1B and TNF genes, alongside decreased expression of anti-inflammatory markers, IL10 and TGF1B. Altogether, the results of the current study demonstrate the importance of tailoring porosity and stiffness of PCL scaffolds to direct their biological performance toward a more immune-mediated bone healing process.

Effect of temperature on growth, metabolism, and gas exchange in Hermetia illucens larvae reared under commercial and laboratory conditions

Abstract The world’s socio-economic development is continuously increasing the demand for efficient production of food, feed, and energy from the agricultural sector. In this respect, the emerging production of black soldier fly larvae (BSFL) represents a promising system to upscale low-quality resources to higher-quality resources usable as feed or biodiesel. To optimize BSFL production it is critical to establish methods that are relevant to examine how rearing conditions, including temperature, affect growth, metabolism, and body composition at large scale. In a first set of experiments, we therefore compared how small-scale laboratory respirometry chambers (600 larvae) support gas exchange, growth, and metabolism in BSFL with similar measurements obtained from large-scale commercial conditions (>12 million larvae) at ∼34-35 °C. Having observed that small- and large-scale systems generated comparable measurements of growth and metabolism, we used our small-scale respirometry system to examine in detail how substrate rearing temperature ranging from 27.0 to 41.9 °C influenced growth, metabolism, and body composition in BSFL. Here we found that 7-day growth of BSFL was stable and high at 27, 35, and 39 °C, while a rearing temperature of ∼42 °C caused a severe, but sublethal, depression of growth and metabolism. Despite the general similarities in total growth at 27, 35, and 39 °C, we found considerable acceleration of metabolism and development at the two higher rearing temperatures (35 and 39 °C). In contrast, the lower rearing temperature (27 °C) resulted in reduced CO2 production per kg larvae produced and the was associated with a higher crude protein to crude lipid ratio in larvae after the 7-day growth period. Based on these findings we discuss how continued monitoring of gas exchange in production systems holds a potential to optimize production in the emerging industry of large-scale commercial insect production.

Identification of gut microbiome features associated with host metabolic health in a large population-based cohort

The complex relationship between the gut microbiome and host metabolic health has been an emerging research area. Several recent studies have highlighted the potential effects of the microbiome’s diversity, composition and metabolic production capabilities on Body Mass Index (BMI), liver health, glucose homeostasis and Type-2 Diabetes (T2D). The majority of these studies were constrained by relatively small cohorts, mostly focusing on individuals with metabolic disorders, limiting a comprehensive understanding of the microbiome’s role in metabolic health. Leveraging a large-scale, comprehensive cohort of nearly 9000 individuals, measured using Continuous Glucose Monitoring (CGM), Dual-energy X-ray absorptiometry (DXA) scan and liver Ultrasound (US) we examined the functional profile of the gut microbiome, and its relation to 38 metabolic health measures. We identified 145 unique bacterial pathways significantly correlated with metabolic health measures, with 86.9% of these showing significant associations with more than one metabolic health measure. Furthermore, 87,678 unique bacterial gene families were found to be significantly associated with at least one metabolic health measure. Notably, “key” bacterial pathways such as purine ribonucleosides degradation and anaerobic energy metabolism demonstrated multiple robust associations across various metabolic health measures, highlighting their potential roles in regulating metabolic processes. Our results remained largely unchanged after adjustments for nutritional habits and for BMI they were replicated in a geographically independent cohort. These insights pave the way for future research and potentially the development of microbiome-targeted interventions to enhance metabolic health.

The impact of prediabetes on preclinical atherosclerosis in general apparently healthy population: A cross-sectional study

Background The hypothesis that not only diagnosed diabetes (DM), but also milder dysglycemia may affect the development of atherosclerosis still requires further study. In our population-based study, we aimed to evaluate the impact of prediabetic state on preclinical atherosclerosis and whether it may affect the cardiovascular risk (CVR) in the general population. Methods The analysis was a part of the Bialystok PLUS cohort study and represented a random sample of Bialystok (Poland) residents aged 20–79 years at the time of sampling (July 2017-January 2023). The cross-sectional analysis included 1431 participants of a population-based study (mean age 46.82 years). Comprehensive biochemical assessments were performed. An Oral Glucose Tolerance Test (OGTT) was performed on fasting patients who did not report having a DM. Results The population with prediabetes, based on HbA1c and OGTT, accounted for more than half of the study participants (n = 797, 55.7%). Atherosclerotic plaques in the carotid arteries were significantly more common in individuals with prediabetes considering all CVR categories. Prediabetes was associated with the occurrence of more advanced preclinical atherosclerosis, especially in the low to moderate CVR category. Serum glucose concentration after 1h and HbA1c proved to be statistically significant indicators of the presence of atherosclerotic plaques in ultrasound (respectively, AUC = 0.73 and 0.72). In multivariate logistic regression, prediabetes was independently associated with significantly increased risk of preclinical atherosclerosis (OR = 1.56, 95% CI 1.09–2.24), along with CVR categories, pulse wave velocity and central blood pressure augmentation index. Conclusions Prediabetes is associated with the occurrence and progression of the preclinical atherosclerosis. Importantly, many of those patients are in the low to moderate cardiovascular risk category, hence may have a severely underestimated risk. Inclusion of prediabetes into CVR assessment may improve risk stratification. An early identification of dysglycemic population is necessary to effectively implement the cardiovascular and metabolic prevention measures.

A Review of Lifestyle Interventions in Weight Loss Programs for Community-Based Psychiatric Patients

Abstract Background Psychiatric patients face aggravated physical health issues and reduced life expectancy, primarily due to premature cardiovascular diseases. The intricate relationship between lifestyle factors, illness, and psychotropic medications contributes to this phenomenon. The focus of this research is to evaluate weight management interventions for individuals with Severe Mental Disorders through a comprehensive scoping review, focusing on diverse study designs, outcomes, and their clinical implications. Methods 20 studies were analyzed to understand the effectiveness of interventions and characteristics, such as duration, delivery, and professional involvement. Assessment criteria included weight modifications, BMI changes, and metabolic measures like blood pressure and lipid profiles. Results The total number of participants included in the 20 studies evaluated was 3886. All trials included individuals of all genders. The studies included patients with a weighted mean age of 44.37 (SD = 4.72) and a mean BMI of 34.7 kg/m2 (SD = 3.56). Varied interventions, mostly conducted in the US, showed promising weight reduction and cardiovascular risk management results among psychiatric patients. However, disparate methods used in the studies hindered the evaluation of outcomes. The studies which yielded more interesting results included Gaughran F. et al, 2017 who showed improvements in HDL cholesterol and metabolic indicators, (HR 0.085; 95% CI:0.007-0.16), and Bartels S. et al, 2015 who reported that 51% of participants achieved clinically significant reduction in overall cardiovascular risk. Conclusions Although interventions displayed potential benefits for beneficiaries, the lack of standardized protocols and non-uniform endpoints poses challenges in effectively addressing weight-related concerns in psychiatric patients. Clear guidelines and standardized assessments are necessary to implement psychiatric patients’ weight management interventions. Key messages • The health issues and reduced life expectancy of psychiatric patients is a major health burden. The mean BMI of 34.7 kg/m2, indicating a prevalence of Obese individuals needs to be addressed. • Psychotropic medications are associated with increase in weight. More effort in increasing awareness and including mandatory nutritional educational classes when prescribing these drugs is needed.

The Effects of Multiple Acute Turkesterone Doses on Indirect Measures of Hypertrophy and Metabolic Measures: A Preliminary Investigation

Turkesterone is a naturally occurring plant steroid touted for its medicinal, pharmacological, and biological properties with no reported adverse side effects compared with traditional anabolic androgenic steroids (AAS). However, this ostensible enhancement to increase muscle protein synthesis and facilitate augmented thermogenesis remains undescribed despite uninformed and potentially haphazard consumption. To investigate whether turkesterone enhances insulin-like growth factor-1 (IGF-1) and resting metabolic rate (RMR), eleven apparently healthy males (23.3 ± 2.2) volunteered to participate in the present study with samples collected pre-, 3H post-, and 24H post-ingestion. Subsequent analyses failed to reveal any significant main condition, time, or interaction main effects for serum IGF-1, RMR, lipid, and carbohydrate metabolism (p > 0.05). However, non-significant serum IGF-1 concentrations increased with both turkesterone conditions and remained elevated when compared with placebo. Similarly, RMR remained elevated above baseline across the 3 h assessed. Although these data fail to fully support turkesterone as a potent anabolic supplement, nevertheless, our findings are foundational to persistently tease apart this supplement’s purported ergogenic effects and underscore its favorable hemodynamic and gastrointestinal tolerability profile. Future investigations should, therein, aim to assess turkesterone-mediated IGF-1 increases on long-term whole-muscle growth across several training sessions to further substantiate its efficacy on anabolism.

Acute transcutaneous auricular vagus nerve stimulation modulates presynaptic SV2A density in healthy rat brain: An invivo microPET study.

Vagus nerve stimulation (VNS) is the subject of exploration as an adjunct treatment for neurological disorders such as epilepsy, chronic migraine, pain, and depression. A non-invasive form of VNS is transcutaneous auricular VNS (taVNS). Combining animal models and positron emission tomography (PET) may lead to a better understanding of the elusive mechanisms of taVNS. We evaluated the acute effect of electrical stimulation of the left vagus nerve via the ear on brain synaptic vesicle glycoprotein 2A (SV2A) as a measure of presynaptic density and glucose metabolism in naïve rats. Female Sprague-Dawley rats were imaged with [11C]UCB-J (n = 11) or [18F]fluorodeoxyglucose ([18F]FDG) PET (n = 13) on two separate days, (1) at baseline, and (2) after acute unilateral left taVNS or sham stimulation (30 min). We calculated the regional volume of distribution (VT) for [11C]UCB-J and standard uptake values (SUV) for [18F]FDG. We observed regional reductions of [11C]UCB-J binding in response to taVNS ranging from 36% to 59%. The changes in taVNS compared to baseline were significantly larger than those induced by sham stimulation. The differences were observed bilaterally in the frontal cortex, striatum, and midbrain. The [18F]FDG PET uptake remained unchanged following acute taVNS or sham stimulation compared to baseline values. This proof-of-concept study shows for the first time that acute taVNS for 30 min can modulate invivo synaptic SV2A density in cortical and subcortical regions of healthy rats. Preclinical disease models and PET ligands of different targets can be a powerful combination to assess the therapeutic potential of taVNS.

Association of circulating adipokines with metabolic measures among people with HIV: Moderating effects of alcohol use.

People with HIV (PWH) are at increased risk for cardiometabolic comorbidities. We have reported that lifetime alcohol use among people with HIV (PWH) is associated with increased risk for metabolic syndrome. Dysfunctional adipose tissue and altered circulating adipokines mediate metabolic dysregulation. The objective of this study was to determine the associations of circulating adipokine concentration with metabolic measures, and the moderating effects of lifetime and recent alcohol use in PWH. This is a cross-sectional analysis of data from 357 PWH at their baseline visit of the longitudinal New Orleans Alcohol and HIV (NOAH) study. The concentrations of four circulating adipokines (adiponectin, leptin, resistin, and fatty acid-binding protein 4 [FABP4]) and their associations with five metabolic measures (triglycerides, cholesterol, Hemoglobin A1c, Homeostatic Model Assessment for Insulin Resistance, and metabolic syndrome) were examined. Higher circulating adiponectin was associated with increased odds of normal triglyceride, cholesterol, and Hemoglobin A1c levels. Increased leptin and FABP4 concentrations were associated with decreased odds of normal triglyceride and cholesterol levels. Increased leptin and FABP4 concentrations were associated with increased odds of insulin resistance and meeting criteria for metabolic syndrome. Increased circulating resistin concentration was associated with decreased odds of normal triglyceride levels and increased odds of meeting criteria for metabolic syndrome. Additionally, among PWH with increased lifetime alcohol use, higher adiponectin concentration was associated with decreased odds of meeting criteria for metabolic syndrome. These data suggest the interplay between adiponectin, leptin, FABP4, and resistin may contribute to metabolic stability among PWH. Moreover, lifetime, but not recent, alcohol use moderates the relationship between adipokines and metabolic measures. These data highlight the relevance of functional adipose tissue mass and associated circulating adipokine levels in maintaining metabolic homeostasis, and its moderation by lifetime alcohol consumption.

Skeletal Muscle Oxidative Metabolism during Exercise Measured with Near Infrared Spectroscopy

This study characterized the level of oxidative metabolism in skeletal muscle during whole-body activity as a percentage of the muscle’s maximum oxidative rate (mVO2max) using near-infrared spectroscopy (NIRS). Ten healthy participants completed a progressive work test and whole-body walking and lunge exercises, while oxygen saturation was collected from the vastus lateralis muscle using near-infrared spectroscopy (NIRS). Muscle oxygen consumption (mVO2) was determined using arterial occlusions following each exercise. mVO2max was extrapolated from the mVO2 values determined from the progressive exercise test. mVO2max was 11.3 ± 3.3%/s on day one and 12.0 ± 2.9%/s on day two (p = 0.07). mVO2max had similar variation (ICC = 0.95, CV = 6.4%) to NIRS measures of oxidative metabolism. There was a progressive increase in mVO2 with walking at 3.2 Km/h, 4.8 km/h, 6.4 Km/h, and with lunges (15.8 ± 6.6%, 20.5 ± 7.2%, 26.0 ± 6.6%, and 57.4 ± 15.4% of mVO2max, respectively). Lunges showed a high reliability (ICC = 0.81, CV = 10.2%). Muscle oxidative metabolism in response to whole-body exercise can be reproducibly measured with arterial occlusions and NIRS. This method may be used to further research on mitochondrial activation within a single muscle during whole-body exercise.

Association between allostatic load and accelerated white matter brain aging: findings from the UK biobank.

White matter (WM) brain age, a neuroimaging-derived biomarker indicating WM microstructural changes, helps predict dementia and neurodegenerative disorder risks. The cumulative effect of chronic stress on WM brain aging remains unknown. In this study, we assessed cumulative stress using a multi-system composite allostatic load (AL) index based on inflammatory, anthropometric, respiratory, lipidemia, and glucose metabolism measures, and investigated its association with WM brain age gap (BAG), computed from diffusion tensor imaging data using a machine learning model, among 22 951 European ancestries aged 40 to 69 (51.40% women) from UK Biobank. Linear regression, Mendelian randomization, along with inverse probability weighting and doubly robust methods, were used to evaluate the impact of AL on WM BAG adjusting for age, sex, socioeconomic, and lifestyle behaviors. We found increasing one AL score unit significantly increased WM BAG by 0.29years in association analysis and by 0.33years in Mendelian analysis. The age- and sex-stratified analysis showed consistent results among participants 45-54 and 55-64years old, with no significant sex difference. This study demonstrated that higher chronic stress was significantly associated with accelerated brain aging, highlighting the importance of stress management in reducing dementia and neurodegenerative disease risks.

Metabolic outcomes in women 6 months and 2 years after preeclampsia versus normotensive pregnancy: A P4 study.

Preeclampsia is associated with an increased risk of long-term cardiometabolic disease; however, little is known regarding metabolic factors in the early postpartum years potentially contributing to these health disparities. This study aimed to compare body composition, serum biochemical parameters, energy balance and diet 6 months and 2 years after normotensive pregnancy versus preeclampsia. This is the longitudinal metabolic sub-study of the Postpartum Physiology, Psychology and Paediatric cohort study. Women were assessed 6 months and 2 years after normotensive pregnancy (n = 118) and preeclampsia (n = 47). Metabolic measures included anthropometry, body composition via bioelectrical impedance analysis, serum biochemical parameters, diet via a food recall diary, and 24-h energy expenditure using SenseWear Armbands. Two years postpartum, women after preeclampsia continued to have significantly higher weight (median 67.1 kg vs. 63.1 kg, p = .04) compared to normotensive pregnancies, in addition to higher LDL cholesterol levels (2.7 ± 0.8 mmol/L vs. 2.4 ± 0.6 mmol/L, p = .03). These women were also more likely to have an elevated HOMA-IR score ≥2.08 (44% vs. 19%, p = .01). For all women in our study, waist-to-hip ratio, percent fat mass and activity-associated energy expenditure improved overtime. However, HDL cholesterol levels deteriorated, and excess saturated fat and sodium intake persisted from 6 months postpartum. Therefore, two years after preeclampsia, women remain at greater metabolic risk than their normotensive counterparts, with greater weight, LDL cholesterol and markers of insulin resistance, potentially contributing to long-term cardiovascular morbidity and requiring early intervention.

TGF-β effects on adipogenesis of 3T3-L1 cells differ in 2D and 3D cell culture conditions.

The TGF-β superfamily plays a pivotal role in the regulation of adipogenesis, but little is known about the potential differential role of the three isoforms of TGF-β, TGF-β-1~3. To further elucidate their role, two-dimensionally (2D) and three-dimensionally (3D) cultured 3T3-L1 mouse preadipocytes were subjected to the following analyses: (a) qPCR analysis of adipogenesis-related factors and major extracellular matrix protein (2D and /or 3D), (b) lipid staining by Oil Red O (2D) or BODIPY (3D), (c) Seahorse cellular metabolic measurement (2D), and (d) size and stiffness measurements of 3D 3T3-L1 spheroids. In the 2D cultured 3T3-L1 cells, mRNA expression levels of adipogenesis-related genes and Oil Red O lipid staining intensity were significantly increased by adipogenesis and they were substantially decreased following treatment with 0.1 nm TGF-β isoforms, with TGF-β2 having the greater effects. Consistent with these results, treatment with TGF-β2 resulted in suppression of mitochondrial and glycolytic functions in 2D cultured 3T3-L1 cells. However, the inhibitory effect of TGF-β on adipogenesis decreased under 3D spheroid culture conditions and TGF-β isoforms did not affect adipogenesis-induced (a) enlargement and downsizing of 3T3-L1 spheroids, (b) increase in BODIPY lipid staining intensity, and (c) up-regulation of the mRNA expression of adipogenesis-related genes. The findings presented herein suggest that the three TGF-β isoforms have different suppressive effects on adipogenesis-related cellular properties of 2D cultured 3T3-L1 cells and that their effects decrease under 3D spheroid culture conditions.

7941 Comparison of Metformin with Inositol versus Metformin Alone in Women with Polycystic Ovarian Syndrome (PCOS): A Systematic Review and Meta Analysis of Randomized Controlled Trials

Abstract Disclosure: F.A. Kelly: None. A.D. Lôbo: None. I.B. Andrade: None. P.G. Lima: None. I.P. da Silva: None. M.C. Souza: None. V. Morbach: None. M.S. Barros: None. F.A. Moraes: None. M.B. Jardine: None. L.M. Lopes: None. M.P. Lima: None. M.G. Leite: None. R.Y. Ura Sudo: None. J.C. Cardoso: None. A.M. De Almeida: None. F.D. Pessôa: None. Metformin was the first medication targeting insulin resistance in PCOS, and it has been extensively studied as a metabolic treatment option. It addresses the chronic inflammatory state of PCOS and improves ovulation, metabolic parameters, and fertility.In recent years, inositols, specifically myo-inositol, and D-chiro-inositol, have emerged as potential treatment options for PCOS. These compounds act as a messenger for hormones, including insulin and follicle-stimulating hormones. Inositols effectively address insulin resistance and modulate the insulin signaling pathways.Although inositols have recently been included in the recommendations of the European Journal of Endocrinology's 2023 International evidence-based guideline for improvement in metabolic measures and considered with benefits in ovulation, hirsutism, and weight in patients with PCOS, the confidence in the available evidence supporting their use is considered to be limited. We aimed to perform a meta-analysis to understand the role of inositol, on glycemic control, LH/FSH ratio, hirsutism, HOMA-IR, and body mass index (BMI) in individuals with polycystic ovary syndrome (PCOS).PubMed, Embase, and Cochrane databases were systematically searched for RCTs comparing the use of metformin alone versus metformin and inositol in patients with polycystic ovary syndrome. Statistical analysis was performed in R software 4.3.1. A random-effects model was used to calculate the risk ratios (RRs) and mean differences (MDs) with 95% confidence intervals (CIs). A p-value of < 0.05 was considered statistically significant. Heterogeneity was examined with the Cochran Q test, prediction interval, and I² statistics. A total of 4 RCTs and 277 patients were included, of whom 138 were randomized to metformin alone and 139 to metformin plus myo-inositol. Compared with metformin alone, Myo-inositol plus Metformin significantly reduced hirsutism (MD -0.97; 95% CI -1.53; -0.40; p=0.0008) and LH/FSH ratio (MD -0.15; 95% CI -0.26, -0.03; p=0.02). There was no significant difference between groups for BMI (MD: 0.97; 95% CI -0.37, 2.32; p=0.16) and HOMA-IR (MD -0.17; 95% CI -0.35, 0.01; p=0.07).In this meta-analysis of RCTs of patients with polycystic ovary syndrome, inositol was associated with a reduction in hirsutism and LH/FSH ratio, compared with metformin monotherapy. Further studies are needed to clarify whether there are benefits for the use of inositol in PCOS treatment. Presentation: 6/3/2024

Multiomics of the intestine-liver-adipose axis in multiple studies unveils a consistent link of the gut microbiota and the antiviral response with systemic glucose metabolism

BackgroundThe microbiota is emerging as a key factor in the predisposition to insulin resistance and obesity.ObjectiveTo understand the interplay among gut microbiota and insulin sensitivity in multiple tissues.DesignIntegrative multiomics and...

S2MRI-ADNet: an interpretable deep learning framework integrating Euclidean-graph representations of Alzheimer's disease solely from structural MRI.

To establish a multi-dimensional representation solely on structural MRI (sMRI) for early diagnosis of AD. A total of 3377 participants' sMRI from four independent databases were retrospectively identified to construct an interpretable deep learning model that integrated multi-dimensional representations of AD solely on sMRI (called s2MRI-ADNet) by a dual-channel learning strategy of gray matter volume (GMV) from Euclidean space and the regional radiomics similarity network (R2SN) from graph space. Specifically, the GMV feature map learning channel (called GMV-Channel) was to take into consideration spatial information of both long-range spatial relations and detailed localization information, while the node feature and connectivity strength learning channel (called NFCS-Channel) was to characterize the graph-structured R2SN network by a separable learning strategy. The s2MRI-ADNet achieved a superior classification accuracy of 92.1% and 91.4% under intra-database and inter-database cross-validation. The GMV-Channel and NFCS-Channel captured complementary group-discriminative brain regions, revealing a complementary interpretation of the multi-dimensional representation of brain structure in Euclidean and graph spaces respectively. Besides, the generalizable and reproducible interpretation of the multi-dimensional representation in capturing complementary group-discriminative brain regions revealed a significant correlation between the four independent databases (p < 0.05). Significant associations (p < 0.05) between attention scores and brain abnormality, between classification scores and clinical measure of cognitive ability, CSF biomarker, metabolism, and genetic risk score also provided solid neurobiological interpretation. The s2MRI-ADNet solely on sMRI could leverage the complementary multi-dimensional representations of AD in Euclidean and graph spaces, and achieved superior performance in the early diagnosis of AD, facilitating its potential in both clinical translation and popularization.

Blue Index as a Comprehensive, Patient-centered Assessment of Care in Diabetic Patients.

Assessment of diabetes health takes into account metabolic, nonmetabolic, and self-care measures like diet, exercise, follow-up, and habits. On the other hand, the index of complications includes the macro- and microvascular complications of diabetes along with foot complications. The Blue Index (BI) is a composite assessment of both diabetic health-related parameters and systemic complications stemming from diabetes. The present study aimed to evaluate the diabetes control status of the patients as a single index. A prospective, observational study included a total of 100 adult diabetic patients in whom diabetic health status (DHS) and Komplications Score (KS) were assessed for cardiovascular/macrovascular, microvascular, and foot complications. The BI was calculated as a composite ratio, and measures were obtained at baseline, after 3 months, and at 6 months. Data were statistically analyzed. Diabetic health status significantly increased at the 3rd month and the 6th month, respectively, compared to baseline (p = 0.000). KS significantly decreased at the 3rd month and the 6th month, respectively, compared to baseline measures (p = 0.000). The composite BI scores showed a steady increase of 9.62 at the 3rd month and 13.14 at the 6th month, respectively, compared to baseline. Assessing based on the duration of diabetes detection, the scores of DHS, KS, and BI showed similar changes. Assessing based on patients' gender, DHS was significantly higher in females at baseline compared to males, with gradual improvement in scores over time for both genders. Contrastingly, KS was significantly lower in males compared to females, with scores showing gradual decrement over the time frame, signifying improvement in complications. DHS was significantly correlated with the duration of diabetes detection (p = 0.001) and age (p = 0.01). The BI is a simple tool that incorporates various parameters covering different aspects of diabetes care, including complications. It may be used not only by endocrinologists but also by all physicians as a tool to monitor and improve diabetic care.

Quantification of white matter hyperintensities in type 1 diabetes and its relation to neuropathy and clinical characteristics

AimsThe aims were to quantify periventricular and deep white matter hyperintensities (WMHs) in adults with type 1 diabetes with different neuropathic phenotypes and to correlate WMH measurements to explanatory factors in diabetes. MethodsWMH measurements were obtained from brain magnetic resonance imaging of 56 adults with type 1 diabetes in subgroups including painful diabetic peripheral neuropathy (DPN), painless DPN, without DPN and 20 healthy controls using Fazekas scale and automatic segmentation analysis. ResultsNo differences in Fazekas assessed WMHs were found (individuals with periventricular lesions: diabetes 66 % vs. controls 40 %,p = 0.063, deep lesions: diabetes 52 % vs. controls 50 %,p = 1.0). Using automatic detection, there were no significant differences in count of periventricular (p = 0.30) or deep (p = 0.31) WMHs. Higher periventricular lesion burden was present in diabetes compared with controls (0.21 % vs. 0.06 %,p = 0.048), which was associated with more severe DPN, increased age, decreased cognitive function, and reduced volumetric and metabolic brain measures (all p < 0.05). ConclusionsOur findings indicate increased burden of periventricular WMHs in diabetes which were associated to DPN severity and measures reflecting neurodegeneration. Deep WMHs, often considered as chronic ischemic, were not significantly different. Mechanisms reflecting neurodegeneration and accelerated brain aging could be an overlooked aspect of peripheral and central neuropathy.