Search Results (267)

Background: Early detection of dysglycemia in young adults is important but underexplored. This study aimed to (1) predict long-term changes in fasting plasma glucose (δ-FPG) and (2) classify future prediabetes using complementary machine learning (ML) approaches. Methods: We analyzed 6247 Taiwanese men aged 18–35 years (mean follow-up 5.9 years). For δ-FPG (continuous outcome), random forest, stochastic gradient boosting (SGB), eXtreme gradient boosting (XGBoost), and elastic net were compared with multiple linear regression using Symmetric mean absolute percentage error (SMAPE), Root mean squared error (RMSE), Relative absolute error(RAE), and Root relative squared error (RRSE) Sensitivity analyses excluded baseline FPG (FPG_base). Shapley additive explanations(SHAP) values provided interpretability, and stability was assessed across 10 repeated train–test cycles with confidence intervals. For prediabetes (binary outcome), an XGBoost classifier was trained on top predictors, with class imbalance corrected by SMOTE-Tomek. Calibration and decision-curve analysis (DCA) were also performed. Results: ML models consistently outperformed regression on all error metrics. FPG_base was the dominant predictor in full models (100% importance). Without FPG_base, key predictors included body fat, white blood cell count, age, thyroid-stimulating hormone, triglycerides, and low-density lipoprotein cholesterol. The prediabetes classifier achieved accuracy 0.788, precision 0.791, sensitivity 0.995, ROC-AUC 0.667, and PR-AUC 0.873. At a high-sensitivity threshold (0.2892), sensitivity reached 99.53% (specificity 47.46%); at a balanced threshold (0.5683), sensitivity was 88.69% and specificity was 90.61%. Calibration was acceptable (Brier 0.1754), and DCA indicated clinical utility. Conclusions: FPG_base is the strongest predictor of glycemic change, but adiposity, inflammation, thyroid status, and lipids remain informative. A dual interpretable ML framework offers clinically actionable tools for screening and risk stratification in young men. Full article

This study investigated the influence of long-chain n-3 polyunsaturated fatty acids (PUFAs) on the activity of antioxidant defence systems and DNA repair enzymes in the liver of newborn piglets born to gilts that were supplemented with fish oil or algal oil during pregnancy. The oils were offered in their natural form or as nanoparticles. Daily doses of both natural and nano-encapsulated oils were calculated to provide each gilt with 3100 mg of docosahexaenoic acid (DHA; 600 mg for the gilt and 250 mg for each foetus). Liver samples were collected from six piglets per gilt within 24 h after birth. Activities of superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx) were measured spectrophotometrically, while DNA repair enzyme activities—formamidopyrimidine-DNA glycosylase (FPG), thymine-DNA glycosylase (TDG), and N-methylpurine DNA glycosylase (MPG)—were assessed by Fpg protein digestion. SOD activity was lowest in piglets from gilts supplemented with algal oil, fish oil, and nano-encapsulated fish oil. Piglets born to the gilts that received algal oil nanoparticles showed higher activity (1.57 U/mg), while the highest activity was recorded in control piglets. CAT activity followed a similar trend; it was lowest in algal oil-supplemented mothers and highest in controls. GPx activity was lowest in piglets born to gilts that received algal oil (both forms) and highest in controls. The FPG activity in piglets birthed by PUFA-supplemented gilts was approximately half that of MPG and TDG, indicating reduced oxidative DNA damage. Both fish oil and algal oil, regardless of the form administered, effectively reduce oxidative stress in pregnant gilts and the associated DNA damage in the livers of their offspring. These findings suggest that maternal supplementation with long-chain n-3 PUFAs can protect newborn piglets from oxidative damage. Furthermore, regional disparities in access to functional foods underline the importance of targeted strategies that integrate local food systems and health planning to promote nutritional equity. Full article

Background/Objectives: Dysglycemia including pre-diabetes mellitus (Pre-DM) and type 2 diabetes mellitus (T2DM) is associated with insulin resistance. This study aimed to support personalized early diagnosis of dysglycemia by proposing optimal, sex- and age-specific cutoff values for Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) and Homeostatic Model Assessment of Beta-Cell Function (HOMA-β) in Koreans aged ≥65 years. Methods: This study analyzed 3862 older Koreans from the 8th Korea National Health and Nutrition Examination Survey data (2019–2021), excluding those with prior diabetes or medication. The participants were classified into normal and dysglycemia groups, based on fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c). Sex- and age-specific optimal cutoff values were determined using Youden’s Index (YI) and area under the curve (AUC). Results: For T2DM, the optimal HOMA-IR cutoff was 2.25 for men and 2.03 for women, with strong discriminative performance (AUCs: 0.828 and 0.823, respectively). Stratifying cutoff values further by sex and age improved the diagnostic accuracy (AUC > 0.83 in most subgroups), underscoring the value of tailored thresholds. For pre-DM, the HOMA-IR cutoff was 1.73 in men and 1.85 in women (AUCs: 0.682 and 0.665, respectively). Age- and sex-specific cutoffs modestly improved AUCs, particularly in men (up to 0.7), although the improvement was less consistent among women. HOMA-β showed no significant association with dysglycemia, and no meaningful cutoff values were identified. Conclusions: HOMA-IR is a promising marker for the early identification of dysglycemia in older adults when interpreted through a personalized lens. Applying sex- and age-specific cutoff values enhances diagnostic precision and supports a more individualized approach to metabolic risk assessment. Further longitudinal studies are warranted to validate these personalized thresholds and to optimize early detection strategies in diverse populations. Full article

Background: Copy number variations (CNVs), also referred to as large genomic rearrangements (LGRs), represent a crucial component of BRCA1/2 (BRCA) testing. Next-generation sequencing (NGS) has become an established approach for detecting LGRs by combining sequencing data with dedicated bioinformatics pipelines. However, CNV detection in formalin-fixed paraffin-embedded (FFPE) samples remains technically challenging, and there is the need to implement a robust and optimized analysis strategy for routine clinical practice. Methods: This study evaluated 40 FFPE ovarian cancer (OC) samples from patients undergoing BRCA testing. The performance of the amplicon-based NGS Diatech Myriapod^® NGS BRCA1/2 panel (Diatech Pharmacogenetics, Jesi, Italy) was assessed for its ability to detect BRCA CNVs and results were compared to two hybrid capture-based reference assays. Results: Among the 40 analyzed samples (17 CNV-positive and 23 CNV-negative for BRCA genes), the Diatech pipeline showed a good concordance with the reference method—all CNVs were correctly identified in 16 cases with good enough sequencing quality. Only one result was inconclusive due to low sequencing quality. Conclusions: These findings support the clinical utility of NGS-based CNV analysis in FFPE samples when combined with appropriate bioinformatics tools. Integrating visual inspection of CNV plots with automated CNV calling improves the reliability of CNV detection and enhances the interpretation of results from tumor tissue. Accurate CNV detection directly from tumor tissue may reduce the need for additional germline testing, thus shortening turnaround times. Nevertheless, blood-based testing remains mandatory to determine whether detected BRCA CNVs are of hereditary or somatic origin, particularly in cases with a strong clinical suspicion of inherited predisposition due to young age and a personal and/or family history of OC. Full article

Berberine, a natural isoquinoline alkaloid, has been shown to improve glycemic control, lipid metabolism, and blood pressure regulation. However, its poor bioavailability has limited widespread clinical use. ToBeRock^® is a self-emulsifying formulation designed to enhance the bioaccessibility of berberine. This retrospective, real-world pilot study conducted through community pharmacies with pharmaceutical care services aimed to evaluate the metabolic and hemodynamic effects of ToBeRock^® in adults with impaired fasting glucose (IFG). Sixty adults with IFG (FPG 100–125 mg/dL) were enrolled through territorial pharmacies offering pharmaceutical services. Patients were retrospectively grouped into two cohorts: a Low-Dose Group (ToBeRock^® 1 capsule/day) and a High-Dose Group (ToBeRock^® 2 capsules/day). Capillary blood sampling and in-pharmacy blood pressure measurements were recorded at baseline (T0), 4 weeks (T1), and 8 weeks (T2). Evaluated parameters included fasting glucose, HbA1c, lipid profile (total cholesterol, LDL, HDL, triglycerides), systolic and diastolic blood pressure (SBP/DBP), and oxidative stress markers (FORT, FORD). Both cohorts showed statistically significant reductions in fasting glucose (p < 0.001), LDL (p = 0.036 Low-Dose/p = 0.039 High-Dose), and triglycerides (p = 0.012/0.009) after 8 weeks of treatment. The High-Dose Group experienced a greater improvement in HbA1c (−0.26%, p = 0.041) and a mild but statistically significant increase in HDL (p = 0.049). Improvements in oxidative balance were observed with significant reductions in FORT (p = 0.019/0.011), increases in FORD (p = 0.033/0.008), and a favorable shift in the REDOX index (p = 0.012/0.006). Systolic blood pressure decreased by −6.3 mmHg in the Low-Dose Group (p = 0.031) and −7.6 mmHg in the High-Dose Group (p = 0.048), while diastolic pressure dropped by −3.9 mmHg (p = 0.044) and −4.2 mmHg (p = 0.051), respectively. This real-world, retrospective analysis highlights the potential clinical benefit of ToBeRock^® in improving glycemic, lipid, oxidative, and hemodynamic profiles. The High-Dose Group demonstrated more consistent and significant results, supporting the dose-responsive efficacy of the bioavailable formulation and the value of pharmacy-based monitoring of nutraceutical interventions. Full article

In turbine blade environments, the combination of blade curvature and accelerating flow gives rise to streamwise pressure gradients (SPGs), which substantially impact coolant–mainstream interactions. This study investigates the effect of SPGs on film cooling performance using Large Eddy Simulation (LES) for a shaped cooling hole at a density ratio of $\mathrm{DR}=1.5$ under two blowing ratios: $M=0.5$ and $M=1.6$. Both favorable pressure gradient (FPG) and zero pressure gradient (ZPG) conditions are examined. LES predictions are validated against experimental data in the high blowing ratio case, confirming the accuracy of the numerical method. Comparative analysis of the time-averaged flow fields indicates that, at $M=1.6$, FPG enhances wall attachment of the coolant jet, reduces boundary layer thickness, and suppresses vertical dispersion. Counter-rotating vortex pairs (CVRPs) are also compressed in this process, leading to improved downstream cooling. At $M=0.5$, however, the ZPG promotes greater lateral coolant spread near the hole exit, resulting in superior near-field cooling performance. Instantaneous flow structures are also analyzed to further explore the unsteady dynamics governing film cooling. The Q criterion exposes the formation and evolution of coherent vortices, including hairpin vortices, shear-layer vortices, and horseshoe vortices. Compared to ZPG, the FPG case exhibits a greater number of downstream hairpin vortices identified by density gradient, and this effect is particularly pronounced at the lower blowing ratio. The shear layer instability is evaluated using the local gradient $Ri$ number, revealing widespread Kelvin–Helmholtz instability near the jet interface. In addition, Fast Fourier Transform (FFT) analysis shows that FPG shifts disturbance energy to lower frequencies with higher amplitudes, indicating enhanced turbulent dissipation and intensified coolant mixing at a low blowing ratio. Full article

This study presents an innovative pipeline for processing, compressing, and remotely visualizing large-scale numerical simulations of fluid dynamics in a virtual wind tunnel (VWT), leveraging virtual and augmented reality (VR/AR) for enhanced analysis and high-end visualization. The workflow addresses the challenges of handling massive databases generated using Direct Numerical Simulation (DNS) while maintaining visual fidelity and ensuring efficient rendering for user interaction. Fully immersive visualization of supersonic (Mach number 2.86) spatially developing turbulent boundary layers (SDTBLs) over strong concave and convex curvatures was achieved. The comprehensive DNS data provides insights on the transport phenomena inside turbulent boundary layers under strong deceleration or an Adverse Pressure Gradient (APG) caused by concave walls as well as strong acceleration or a Favorable Pressure Gradient (FPG) caused by convex walls under different wall thermal conditions (i.e., Cold, Adiabatic, and Hot walls). The process begins with a .vts file input from a DNS, which is visualized using ParaView software. These visualizations, representing different fluid behaviors based on a DNS with a high spatial/temporal resolution and employing millions of “numerical sensors”, are treated as individual time frames and exported in GL Transmission Format (GLTF), which is a widely used open-source file format designed for efficient transmission and loading of 3D scenes. To support the workflow, optimized Extract–Transform–Load (ETL) techniques were implemented for high-throughput data handling. Conversion of exported Graphics Library Transmission Format (GLTF) files into Graphics Library Transmission Format Binary files (typically referred to as GLB) reduced the storage by 25% and improved the load latency by 60%. This research uses Unity’s Profile Analyzer and Memory Profiler to identify performance limitations during contour rendering, focusing on the GPU and CPU efficiency. Further, immersive VR/AR analytics are achieved by connecting the processed outputs to Unity engine software and Microsoft HoloLens Gen 2 via Azure Remote Rendering cloud services, enabling real-time exploration of fluid behavior in mixed-reality environments. This pipeline constitutes a significant advancement in the scientific visualization of fluid dynamics, particularly when applied to datasets comprising hundreds of high-resolution frames. Moreover, the methodologies and insights gleaned from this approach are highly transferable, offering potential applications across various other scientific and engineering disciplines. Full article

Background/Objectives: Vitamin D supplementation has shown promise in managing type 2 diabetes mellitus (T2DM), while the simultaneous impact on glycemic control and inflammation in T2DM remains poorly understood. This study aimed to investigate the potential role of vitamin D supplementation in managing T2DM using fasting plasma glucose (FPG), insulin levels, HOMA-IR, HOMA-B, HbA1c, and Hs-CRP as the biomarkers. Methods: Original articles from Scopus, Pubmed, Cochrane Library, Epistemonikos, and ScienceDirect published between 2014 and 2024 were the sources. Inclusion criteria included studies conducted as clinical trials or randomized controlled trials involving adult patients diagnosed with T2DM undergoing treatment with vitamin D. The risk of bias was evaluated using the ROB-2 tool and meta-analysis was conducted to quantitatively synthesize the results across the studies using pooled effect sizes and confidence intervals. Results: Nine studies were included in the meta-analysis. Significant differences were found at 12-week follow-up in insulin level (MD(−3.59) [95% CI: −6.93, −0.25]), HOMA-B (MD(−50.35) [95% CI: −92.29, −8.41]), hs-CRP (−2.51 [95% CI: −3.45, −1.57]), and HbA1c level (MD(−0.30) [95% CI: −0.54, −0.06]) and at 24-week follow-up in HOMA-IR (MD(−0.38) [CI: −0.53, −0.24]). The quality of the included studies was generally moderate, with three showing a potential risk of bias. Conclusions: The observed trends in FPG, insulin levels, HOMA-IR, HOMA-B, HbA1c, and hs-CRP indicate that vitamin D may influence glycemic control, insulin sensitivity, and inflammation, but these effects are often modest and may diminish over time. Future studies should explore longer duration randomized trials with standardized dosing and baseline vitamin D status stratification. Full article

Background/Objectives: This study aimed to evaluate adipose tissue dysfunction, assessed through adipocytokines and proinflammatory cytokines, in relation to hepatic steatosis (HS) in patients with newly diagnosed type 2 diabetes (T2D). Methods: An observational study evaluated 155 consecutive patients with new-onset T2D; 118 (76.1%) were found to have HS, while the remaining 37 served as the control group without steatosis. Anthropometric status and body mass index (BMI) were evaluated. The biochemical assessment encompassed the measurements of fasting serum lipids, fasting plasma glucose (FPG), liver function tests, adiponectin, leptin, resistin, tumor necrosis factor (TNF-α), and interleukin 6 (IL-6). Insulin resistance (IR) was determined using the homeostasis model assessment (HOMA). HS was evaluated using ultrasonographic criteria. Quantitative evaluation of HS was performed by calculating the hepatic steatosis index (HSI). Results: There were statistically significant differences between the groups for age, BMI, weight, waist circumference (WC) and hip circumference, HSI, glucose profile (fasting plasma glucose (FPG), HOMA-IR), liver function tests, adiponectin, leptin, resistin, TNF-α, and IL-6. In multivariate logistic regression analysis, age, smoking, BMI, WC, HOMA-IR, and hypoadiponectinemia were the only independent factors associated with HS. Conclusions: The adipose tissue dysfunction assessed through adipocytokines and proinflammatory cytokines is part of the associated disorders in HS and new-onset T2D. In patients with newly diagnosed T2D, age, smoking, and hypoadiponectinemia consistently emerged as independent predictors of hepatic steatosis. More prospective trials are needed to clarify the “the temporal onset” of adipose tissue dysfunction. Full article

In 2024, Europe experienced a significant upsurge in cases of Parvovirus B19 (B19V), the etiological agent of erythema infectiosum, also known as fifth disease. The prevalence of B19V in pregnant women, a particularly vulnerable population, holds critical clinical significance. Typically, B19V follows a well-documented seasonal pattern, with annual epidemics peaking in the spring and larger outbreaks occurring approximately every four years. B19V exhibits a tropism for erythroid precursor cells, potentially resulting in fetal anemia and, in the most severe scenarios, intrauterine demise. Severe in utero infections necessitate intrauterine erythrocyte transfusion (IUT), a highly specialized and technically demanding procedure that is exclusively performed in tertiary-level prenatal care units. This study delineates how the notable increase in B19V infections is also reflected in our prenatal diagnosis unit at Fondazione Policlinico Agostino Gemelli (FPG) IRCCS, Rome, Italy. According to our case series, since 2018, B19V has been identified as the second most common cause of fetal anemia during the study period (29%, 6 patients), yet it accounted for the majority of IUT procedures performed in 2024 (16 out of 19 cases, 84.2%). Given the rising incidence of severe intrauterine infections in recent epidemic cycles, healthcare professionals should maintain a high index of suspicion regarding the clinical manifestations of maternal B19V infection and its potential obstetric complications. Further research is imperative to evaluate the cost-effectiveness of routine screening for B19V immunity in pregnant women and to investigate the long-term neurodevelopmental and clinical outcomes of neonates affected by intrauterine B19V infection. Full article

Background/Objectives: This study aimed to identify the regulatory system of lipoprotein lipase (LPL), glycosylphosphatidylinositol-anchored high-density lipoprotein (HDL)-binding protein 1 (GPIHBP1), and hepatic triglyceride lipase (HTGL) in the peripheral bloodstream. Methods: In total, 207 individuals (100 males and 107 females) who were diagnosed with normal glucose tolerance or prediabetes during their comprehensive health checkup were investigated. Results: Circulating LPL levels were positively correlated with the GPIHBP1 and HDL-cholesterol (HDL-C) levels, and negatively correlated with body mass index (BMI), waist circumference (WC), Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) scores, triglyceride–glucose index, and triglyceride, fasting insulin, ferritin, and C-reactive protein (CRP) levels. The GPIHBP1 level was positively correlated with LPL and HTGL levels, and negatively correlated with estimated glomerular filtration rate (eGFR). The HTGL level was positively correlated with BMI, WC, HOMA-IR score, and GPIHBP1, low-density lipoprotein cholesterol (LDL-C), fasting insulin, and ferritin levels. Meanwhile, it was negatively correlated with HDL-C levels. The multiple regression analysis revealed that the circulating LPL level was independently affected by BMI, red blood cell (RBC) count, GPIHBP1, fasting plasma glucose (FPG), fasting insulin, HDL-C, CRP, and ferritin levels. The GPIHBP1 level was independently affected by age, eGFR, FPG, LPL, and HTGL levels and RBC count. The HTGL level was independently affected by WC, GPIHBP1 and LDL-C levels. Conclusions: LPL and HTGL levels reflect insulin resistance. In particular, individuals with a greater insulin resistance present with a lower LPL level and a higher HTGL level. An increased GPIHBP1 level might compensate for decreased LPL levels due to insulin resistance. Full article

Background: Apolipoprotein B (ApoB), a key component of atherogenic lipoproteins, has been increasingly implicated in cardiometabolic disorders beyond dyslipidemia. However, its role in glycemic dysregulation remains unclear. This study aimed to investigate the association between ApoB levels and glycemic parameters, including fasting glucose, insulin resistance, and glycated hemoglobin (HbA1c), in individuals without diagnosed diabetes. Methods: This study was conducted at the National Research Cardiac Surgery Center (Kazakhstan) over the period between 2023 and 2024 as a cross-sectional analysis. Adults aged ≥ 20 years without diagnosed diabetes and with complete data on their ApoB and glycemic markers were included. Associations between ApoB and fasting plasma glucose (FPG), HbA1c, and HOMA-IR were assessed using multivariable linear and logistic regression models adjusted for demographic, lifestyle, and metabolic covariates. Results: Higher ApoB levels were significantly associated with increased fasting glucose (β = 2.07 mg/dL per 1-SD increase in ApoB, p < 0.001), higher HbA1c (β = 0.06%, p < 0.001), and elevated HOMA-IR (β = 0.54, p < 0.001). Participants in the highest ApoB quartile had 53% higher odds of prediabetes (adjusted OR = 1.53; 95% CI: 1.22–1.91; p < 0.001) compared to the lowest quartile. These associations remained significant after adjusting for BMI, lipid levels, and other confounders. Conclusions: Elevated ApoB is independently associated with adverse glycemic profiles in nondiabetic individuals, suggesting its potential role in early glucose metabolism disturbances. Full article

Background: Glucose metabolism disorders are major contributors to morbidity and mortality. Elevated serum uric acid (SUA) is closely linked to the cardiometabolic consequences of glucose metabolism disorders, various other comorbidities, and mortality. In this study, we explore the relationship between SUA and fasting plasma glucose (FPG), insulin levels, and insulin resistance in an older Finnish adult cohort. Methods: We used data from the GOAL (GOod Ageing in Lahti region) study—a prospective, population-based study of Finnish individuals aged 52–76 years. A total of 2322 non-diabetic subjects were included in the study. Data of SUA, FPG, and other laboratory parameters, comorbidities, lifestyle habits, and socioeconomic factors were collected. Subjects with SUA values of >410 μmol/L (≈6.9 mg/dL; 75th percentile) were regarded as hyperuricemic. We investigated the relationship between SUA and FPG, insulin levels, and insulin resistance [homeostatic model assessment of insulin resistance (HOMA-IR) ≥2.65]. Results: We found statistically significant sex-, age- and BMI-adjusted small to moderate relationships (Cohen’s standard for β values above 0.10 and 0.30, respectively) between SUA and FPG, insulin levels, and insulin resistance in the whole study population as well as in the female and male subgroups. The higher the SUA level, the higher the HOMA-IR [(adjusted β = 0.21 (95% CI: 0.17 to 0.25)], and it rises drastically if SUA is above 400 μmol/L (≈6.7 mg/dL). The probability of a subject having insulin resistance is related to SUA level. Conclusions: Hyperuricemia is associated with elevated FPG and insulin resistance, emphasizing the importance of addressing both conditions. Further research may explore hyperuricemia treatment’s role in preventing glucose metabolism disorders and their cardiometabolic consequences. Full article

A transient stability flow analysis is performed using the unsteady laminar boundary layer equations. The flow dynamics are studied via the Navier–Stokes equations. In the case of external spatially developing flow, the differential equations are reduced via Prandtl or boundary-layer assumptions, consisting of continuity and momentum conservation equations. Prescription of streamwise pressure gradients (decelerating and accelerating flows) is carried out by an impulsively started Falkner–Skan (FS) or wedge-flow similarity flow solution in the case of flat plate or a Blasius solution for particular zero-pressure gradient case. The obtained mean streamwise velocity and its derivatives from FS flows are then inserted into the well-known Orr–Sommerfeld equation of small disturbances at different dimensionless times ($\tau$). Finally, the corresponding eigenvalues are dynamically computed for temporal stability analysis. A finite difference algorithm is effectively applied to solve the Orr–Sommerfeld equations. It is observed that flow acceleration or favorable pressure gradients (FPGs) lead to a significantly shorter transient period before reaching steady-state conditions, as the developed shear layer is notably thinner compared to cases with adverse pressure gradients (APGs). During the transient phase (i.e., for $\tau <1$), the majority of the flow modifications are confined to the innermost 20–25% of the boundary layer, in proximity to the wall. In the context of temporal flow stability, the magnitude of the pressure gradient is pivotal in determining the streamwise extent of the Tollmien–Schlichting (TS) waves. In highly accelerated laminar flows, these waves experience considerable elongation. Conversely, under the influence of a strong adverse pressure gradient, the characteristic streamwise length of the smallest unstable wavelength, which is necessary for destabilization via TS waves, is significantly reduced. Furthermore, flows subjected to acceleration ($\beta$ > 0) exhibit a higher propensity to transition towards a more stable state during the initial transient phase. For instance, the time response required to reach the steady-state critical Reynolds number was approximately 1$\tau$ for $\beta$ = 0.18 (FPG) and $\tau$ = 6.8 for $\beta$ = −0.18 (APG). Full article

Background and Objectives: Several micro- and macro-nutrient malnutrition states that are routinely assessed during clinical care of women in the antenatal period have been proposed as risk factors for preeclampsia. However, there is a paucity of data on the potential use of these biomarkers for detection of preeclampsia. The aim of this case-control study was to investigate the association of biomarkers from routine clinical tests, and those specific to micro- and macro-nutrient malnutrition, with the risk of preeclampsia. Materials and Methods: Venous blood samples of 250 participants with preeclampsia and 150 pregnant women without preeclampsia were collected and assayed immediately for the full blood count, urea and electrolytes, high-density cholesterol (HDL), total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL), oxidized low-density lipoprotein cholesterol (OxLDL), and selenium, in addition to urine iodine concentration (UIC). Results: The serum potassium/magnesium ratio (K⁺/Mg²⁺), UIC, fasting plasma glucose (FPG), thyroid stimulating hormone (TSH), lymphocyte percentage (L/WBC%), and the oxidized LDL/albumin ratio (OxLDL/Alb) were identified as independent predictors of preeclampsia. Conclusions: Serum potassium/magnesium ratio and other analytes essential for various biological processes, some of which are assayed during routine care, were significantly associated with preeclampsia, warranting further exploration as potential screening biomarkers in low-resource settings. Full article