Metabolic Measurements Research Articles

Effect of Low-Dose Hormone Therapy on Metabolic Parameters and Bone Mineral Density

OBJECTIVE: Early menopause causes several health concerns that are related directly to the deficiency of ovarian hormones, especially estrogen insufficiency. The purpose of the research was to investigate the impact of low-dose hormone therapy on metabolic parameters and bone densitometry in patients with early menopause. STUDY DESIGN: A total of 98 patients aged 38-42 years with an early-menopause and followed up were evaluated retrospectively in this cohort study. After the diagnosis of early menopause, combined oral contraceptive (COC) treatment including 3 mg Drospirenone + 0.02 mg Ethinylestradiol was recommended to the patients. After 1 year of COC treatment, metabolic, ultrasonographic, and bone densitometry measurements of patients who did and did not use COC regularly were compared. RESULTS: At the 12th-month follow-up, endometrial thickness was significantly higher in the COC group (3.8±0.4 mm) compared with the non-COC group (3.5±0.4 mm) (p<0.01). At the 12th month follow-up, the estradiol value was significantly higher (16.1±1.5 pg/mL) in the COC group compared with the non-COC group (14.8±2.5 pg/mL) (p<0.01). At the 12th month follow-up, the total cholesterol value was found significantly lower in the COC group (197±24.2 mg/dL) compared with the non-COC group (211±28 mg/dL) (p<0.01). At the 12th month follow-up, the Z-score was found significantly higher in the COC group (0.02±0.3) compared with the non-COC group (0.2±0.3) (p<0.01). CONCLUSION: Hormone replacement therapy is very important for women who enter early menopause, and adequate estrogen therapy must be taken to maintain bone density and reduce menopausal symptoms.

β-Cell Secretory Capacity Predicts Metabolic Outcomes over 6 Years following Human Islet Transplantation.

Transplanted islet functional β-cell mass is measured by the β-cell secretory capacity derived from the acute insulin response to glucose-potentiated arginine (AIRpot), however, data are limited beyond one-year post-transplant for individuals with type 1 diabetes. We evaluated changes in β-cell secretory capacity in a single-center longitudinal analysis and examined relationships with measures of islet cell hormone metabolism and clinical measures of graft function (mixed-meal tolerance test [MMTT] C-peptide, BETA-2 score, and continuous glucose monitoring [CGM]). Eleven individuals received purified human pancreatic islets over one or two intra-portal infusions to achieve insulin-independence and were followed over a median (IQR) 6 (5-7) years. β-cell secretory capacity remained stable over 3-years before declining. Fasting glucagon and proinsulin secretory ratios under glucose-potentiation were inversely correlated with AIRpot. A functional β-cell mass of 40% normal predicted insulin-independence and was strongly predicted by MMTT C-peptide-to-glucose and BETA-2 score. A functional β-cell mass of >20% predicted excellent glycemic outcomes including ≤1% time <60 mg/dL, ≤2% time >180 mg/dL and ≥90% time-inrange 70-180 mg/dL. β-cell replacement approaches should target a functional β-cell mass >40% to provide sufficient islet reserve for sustained insulin-independence. MMTT C-peptide-to-glucose and BETA-2 score can inform changes in functional β-cell mass in the clinical setting.

The ZJU index is associated with the risk of sarcopenia in American adults aged 20–59: a cross-sectional study

BackgroundThe ZJU index is an innovative computational method which integrates BMI, FBG, TG, and ALT to AST ratio. It strongly correlates with measures of lipid metabolism and glucose intolerance. No researches have yet explored the relationship between the ZJU index and sarcopenia.MethodsWe analyzed NHANES data from 2011 to 2018, dividing the ZJU index into quartiles. The association was investigated by adjusting for confounders using multivariable linear and logistic regression analysis. Results were visualized through RCS regression and threshold effect analyses. We conducted various subgroup and sensitivity analyses and plotted ROC curves to assess prediction efficacy, with the AUC as the measure of accuracy.ResultsAs the ZJU index increases, the prevalence of sarcopenia also rises. Following the control of potential confounders via logistic regression analysis, our research identified a distinct relationship between the ZJU index and sarcopenia, which was statistically significant (P < 0.001), with higher ZJU index values associated with increased risk (OR = 12.40, 95% CI: 8.46–18.17). Interaction analysis suggests that the relationship between the ZJU index and the risk of developing sarcopenia varies significantly between males and females across different ZJU index levels. ROC analysis for the ZJU index shows an AUC of 0.749. Conclusions: The ZJU index significantly correlates with a heightened risk of sarcopenia in Americans, suggesting its potential as a predictive marker for sarcopenia.

The impact of insulin resistance and glycaemic control on insulin-like growth factor-1 in patients with type 2 diabetes: a cross-sectional study

BackgroundType 2 diabetes mellitus (T2DM) is a multifaceted metabolic disorder. Over the past decade, the potential role of Growth Hormone (GH) and Insulin-like Growth Factor-1 (IGF-1) in the pathogenesis and progression of T2DM has garnered scientific interest. These hormones, while interrelated, exert differential effects on glucose homeostasis; GH elevates blood glucose levels, whereas IGF-1 sustains insulin secretion and augments insulin sensitivity.ObjectiveThe study aimed to investigate the impact of insulin resistance and glycaemic control on IGF-1 levels and to assess other risk factors influencing IGF-1 in T2DM.MethodsA cross-sectional study was conducted at the National Diabetes Centre, Baghdad, Iraq, from May 2020 to May 2021. Sixty patients with T2DM were evaluated for fasting plasma glucose (FPG), GH, IGF-1, HbA1c, HOMA-IR, HOMA-B, and anthropometric measures following a comprehensive history and physical examination, focusing on any variables that could influence their metabolic profile. Patients with Type 1 diabetes mellitus, thyroid disease, pituitary disease, chronic kidney disease, hepatic disease, and pregnancy were excluded from the study.ResultsPatients with poorly controlled diabetes (HbA1c > 8) exhibited significantly elevated IGF-1 levels compared to those with HbA1c < 8 (166 vs. 134, P = 0.016). The mean IGF-1 was significantly lower in patients with insulin resistance (IR) compared to those without IR (143 vs. 192, P = 0.001), with a significant negative correlation with Body Mass Index (BMI) and a significant positive correlation with HbA1c and Quantitative Insulin Sensitivity Index (QUICKI). Elevated IGF-1 levels were observed with increasing age, duration of T2DM, higher HbA1c, higher QUICKI, and lower BMI. No significant difference was found in IGF-1 values with regards to HOMA-B, fasting insulin, and waist-hip ratio.ConclusionPatients with poorly controlled T2DM exhibit higher IGF-1 levels, while those with obesity and high insulin resistance demonstrate lower IGF-1 levels. Further prospective studies are warranted to evaluate the potential of using IGF-1 to reduce insulin resistance and improve metabolic and glycaemic measures in individuals with T2DM and obesity or insulin resistance.

Land use and runoff effects on tidal creek ecosystem metabolism

Tidal creeks connect coastal lands and estuaries and are important conduits of watershed runoff and pollutants. With expanding urban development in many coastal areas, increased stormwater runoff to tidal creeks has the potential to increase nutrient loading, shift salinity regimes, and change ecosystem functions. To better understand these linkages, we measured dissolved oxygen (DO), water levels, salinity, and temperature for over 1 yr at 6 tidal creeks in Alabama and western Florida, USA. We coupled these measures with watershed-model (Soil and Water Assessment Tool) estimates of nutrient (NO3-, NH4+, and mineralized P) loading, flow, and other available watershed data. We estimated gross primary productivity, ecosystem respiration (ER), and net ecosystem metabolism (NEM) and found that all creeks were heterotrophic throughout the study period and frequently experienced periods of low DO. Our results did not identify a direct relation between urban land use and metabolism measures. Stepwise regression models showed that temperature, salinity fluctuations, and nitrogen loading were associated with seasonal measures of ER and NEM, which may be related to agricultural land use in some watersheds. We also noted that severe declines in DO related to ER occurred in most creeks following rainfall events associated with tropical cyclones. While this study indicates that low- to moderate-density residential development in this region may not readily elicit a response in ecosystem metabolism, runoff factors associated with land use change and excessive precipitation were related to metabolism. Further research is needed to understand how these stressors may interact to influence tidal creeks and the larger estuary.

Association between iron metabolism and acute kidney injury in cardiac surgery with cardiopulmonary bypass: a retrospective analysis from two datasets

ObjectiveWe sought to explore the linear or nonlinear relationship between preoperative iron metabolism and acute kidney injury following cardiac surgery (CSA-AKI) with cardiopulmonary bypass (CPB).MethodsPatients who underwent cardiac surgery with CPB between December 2018 and April 2021 were retrospectively collected from Fuwai Hospital and Medical Information Mart for Intensive Cared dataset (MIMIC-IV). The measurements of iron metabolism included serum iron (SI), serum ferritin (SF), transferrin (TRF), transferrin saturation (TS), and total iron binding capacity (TIBC). Logistic regression and restricted cubic spline (RCS) were used for linear and nonlinear analysis. The primary outcome was postoperative AKI with 48 h after cardiac surgery.ResultsOf 10,639 patients screened (2420 in Fuwai Hospital and 8219 in MIMIC-IV dataset),1488 eligible patients were enrolled for the final analysis (Fuwai Hospital: n = 744, MIMIC-IV: n = 744).The incidence of AKI was 25.7% and 56.5%, respectively. Logistic regression showed that the levels of TRF (odds ratio (OR) = 1.53,95%CI:1.01–2.14, p = 0.012) and TIBC (OR = 1.05,95%CI:1.02–1.07, p < 0.001) were independent risk factor for AKI. Moreover, in the spline models adjusted with age (median:56), female, and history of diabetes, a significant statistical difference was observed between SI, SF, TRF, TS, TIBC (p for nonlinear < 0.05) and AKI in the Fuwai Hospital dataset. Additionally, the levels of SI (p for nonlinear 0.0364),SF (p for nonlinear 0.0461) were also in non-linear relationship with AKI in the MIMIC-IV dataset.ConclusionIron metabolism markers (SI, SF, TS, TRF, and TIBC) displayed a nonlinear relationship with AKI by the RCS model (adjusted by age, gender, and history of diabetes). Notably, the MIMIC-IV dataset, which includes elderly patients, also demonstrated a nonlinear relationship between SI, SF and AKI. These findings highlight the potential therapeutic value of targeting proteins related to iron metabolism in patients with AKI.Clinical trial numberNot applicable.

Exploring the metabolic daylength measurement system: implications for photoperiodic growth.

Photoperiod is an environmental signal that varies predictably across the year. Therefore, the duration of sunlight available for photosynthesis and in turn the ability of plants to accumulate carbon resources also fluctuates across the year. To adapt to these variations in photoperiod, the metabolic daylength measurement (MDLM) system measures the photosynthetic period rather than the absolute photoperiod, translating it into seasonal gene expression changes linked to photoperiodic growth. In this Tansley Insight, we briefly summarize the current understanding of the MDLM system and highlight gaps in our knowledge. Given the system's critical role in seasonal growth, understanding the MDLM system is essential for enhancing plant adaptation to different photoperiods and optimizing agricultural production.

Proposed shorter duration protocols for measuring resting energy expenditure utilizing whole-room indirect calorimetry.

Sixty minutes is currently the shortest testing duration for 24-h resting energy expenditure (24-h REE) utilizing whole-room indirect calorimetry. Show that recalculated 30-min extrapolated 24-h REE from previously published 60-min metabolic data are valid. Propane consumption linearity was determined through an 8-h combustion test. Thereafter, metabolic data for 24-h extrapolated ventilation rates of oxygen (VO2; l/d), carbon dioxide (VCO2; l/d), respiratory quotient (RQ; VCO2/VO2), and REE (MJ/d) from ten 60-min propane combustion tests were recalculated to reflect a 30-min testing duration. A similar analysis was performed utilizing data from 60-min subject metabolic measurements within a whole-room indirect calorimeter (4597 liters) specific for measuring resting energy expenditure (REE). Statistical (p < 0.05) comparisons between recalculated and original 60-min metabolic data were determined by SPSS (version 29). Propane consumption during a combustion test was found to be linear for up to 8-h. Furthermore, no differences existed between propane stoichiometry and combustion for any of the extrapolated 24-h metabolic parameters when recalculated from 60-min propane combustion data to reflect a 30-min duration. Finally, similar results were obtained for all recalculated subject metabolic data. Recalculated extrapolated 24-h metabolic data derived from a 30-min testing duration appear to be valid. This suggests that whole-room indirect calorimetry could be an adjunct for various weight loss or other programs where accurate metabolic measurements are required.

NIMG-69. INTERROGATION OF GLIOBLASTOMA FATTY-ACID SYNTHESIS AND METABOLISM WITH DEUTERIUM METABOLIC IMAGING

Abstract Glioblastoma, an invariably lethal brain tumor, undergoes marked metabolic alterations during tumorigenesis and is extraordinarily difficult to treat. Detecting recurrence after treatment and understanding metabolic alterations within the tumor microenvironment are extremely challenging. An exciting and emerging imaging methodology, deuterium metabolic imaging (DMI), detects metabolic adaptations via non-radioactively labeled deuterated substrates. This study developed approaches to image lipid synthesis with deuterium oxide (D2O) and metabolism with D31-palmitate (D31-Pal) in glioblastoma. A fatty-acid phantom was generated for characterization of lipid DMI signal at 12 T. DMI was performed in mice orthotopically implanted with GL261 glioblastoma utilizing either orally administered D31-Pal or D2O and was correlated with pharmacokinetic metabolic measurements from mouse serum. Mice were either orally gavaged with an emulsion of D31-Pal prior to imaging or provided 16% D2O for ad libitum consumption following tumor implantation. Although D2O administration resulted in robust enrichment of lipid signal in GBM, D31-Pal uptake and metabolism were not significantly detected within intracranial tumors. Interestingly, D31-Pal uptake and metabolism were detected in normal tissues, indicating preferential utilization of fatty acids in non-neoplastic tissues. These findings suggest de novo lipogenesis within GBM, rather than uptake of administered long chain fatty acids, is the preferential pathway for cellular lipids. DMI can assist in interrogating GBM fatty-acid synthesis and metabolism, as well as furthering our understanding of lipid distribution within the body by providing a non-invasive scaffold for dynamic interrogation of fatty-acid distribution in an oncologic model. Developing a non-invasive method for characterization of tumor fatty-acid synthesis and metabolism may improve our understanding of tumor metabolism and could dynamically guide selection of patient-tailored metabolic therapies in the future.

How improvements in US FDA regulatory process and procedures led to the drug approval for first ever treatment of a common liver disease.

Metabolic-associated liver disease is a growing public health crisis, with phenotypes from fatty liver to steatohepatitis, previously known as NASH (Non-Alcoholic SteatoHepatitis) and currently rebranded as MASH (Metabolic dysfunction-Associated SteatoHepatitis). Dysfunction in liver metabolism can progress to liver fibrosis, end stage cirrhosis and death. MASH (NASH) is associated with an increased risk of cardiovascular disease, elevation in serum lipids and Type 2 Diabetes Mellitus. There is now a US-approved drug to treat patients with NASH (MASH) under the FDA Accelerated Approval Pathway, which requires follow-up outcome studies to confirm clinical benefit or risk drug withdrawal by the agency. Despite extra-hepatic factors that contribute to MASH and complicate clinical trial design, reorganization of the FDA drug premarket review divisions, improvements to agency policies and procedures, as well as updates to the US Food, Drug & Cosmetic Act (FD&C Act) upon which FDA regulation is based, have provided new agency tools that facilitated such a drug approval to address the profound unmet medical need for patients with this metabolic-based liver disease. There is reason for hope that continued evolution of the regulatory process will lead to additional drug approvals, as well as the ability for clinical trial endpoints studying MASH treatments to include both liver-based and traditional metabolic measures, independent of the specific FDA review division. This initial NASH/MASH FDA approval has also opened the door for initiation of Combination Clinical Trials, where the approved drug is paired with an experimental drug with a different mechanism of action, to increase overall efficacy and potentially minimize risks. It is envisioned that future treatment of NASH/MASH will mirror what is currently observed with Type 2 Diabetes Mellitus practice patterns, where multiple drugs with different mechanisms of actions are used to optimize treatment benefit/risk in the selected patient populations.

The control costs of human brain dynamics

Abstract The human brain is a complex system with high metabolic demands and extensive connectivity that requires control to balance energy consumption and functional efficiency over time. How this control is manifested on a whole-brain scale is largely unexplored, particularly what the associated costs are. Using network control theory, here we introduce a novel concept, time-averaged control energy (TCE), to quantify the cost of controlling human brain dynamics at rest, as measured from functional and diffusion MRI. Importantly, TCE spatially correlates with oxygen metabolism measures from positron emission tomography, providing insight into the bioenergetic footing of resting state control. Examining the temporal dimension of control costs, we find that brain state transitions along a hierarchical axis from sensory to association areas are more efficient in terms of control costs and more frequent within hierarchical groups than between. This inverse correlation between temporal control costs and state visits suggests a mechanism for maintaining functional diversity while minimizing energy expenditure. By unpacking the temporal dimension of control costs, we contribute to the neuroscientific understanding of how the brain governs its functionality while managing energy expenses.

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.

Promoted metabolic remolding by overexpression of AspAT9 ameliorates cadmium toxicity in Arabidopsis

Cadmium (Cd) is a toxic heavy metal that poses a serious threat to crop safety and human health. Aspartate aminotransferase (AspAT) is a prime enzyme engaged in amino acid metabolism, contributing essential metabolic substances for plant growth and acclimatization to various stresses. In this study, we identified a novel AspAT9 gene with high responsiveness to Cd stress from poplar ‘Nanlin895′ and subsequently transformed it into Arabidopsis. The resulting transgenic AspAT9–1 plants (designated A9) and wild-type (WT) Arabidopsis were subjected to Cd treatment (T) or maintained under control conditions (CK). Phenotypic assessments showed that A9 plants displayed greater resistance to Cd stress compared to WT, as evidenced by their stay-green trait and higher biomass. Subsequent metabolism measurement revealed that A9 plants accumulated more Cd in their roots than WT. Meanwhile, the content of various proteinogenic amino acids, Cd-chelating compounds, such as lignin and phytochelatins (PCs), along with antioxidants like glutathione (GSH) and chlorophyll in A9-T exceeded WT-T. Further RNA-seq analysis uncovered significant transcriptional changes in genes implicated in aspartate-glutamate metabolism, antioxidant systems, phenylpropanoid biosynthesis, transporters, and photosynthesis activities. Our findings demonstrate the beneficial effect of overexpressing AspAT9 on Cd phytoextraction, highlights its potential as a valuable genetic resource for phytoremediation applications.

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 (&gt;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.