Glycemic Index Research Articles

Dysglycaemia screening and its prognostic impact in patients with coronary artery disease: experiences from the EUROASPIRE IV and V cohort studies

Glucose perturbations can be detected by fasting plasma glucose (FPG), HbA1c, and the oral glucose tolerance test (OGTT). The highest yield is provided by OGTT. HbA1c is considered more practical. We compare the diagnostic and predictive performance of these glycaemic indicators based on combined data from the EUROASPIRE IV (EAIV) and V (EAV) studies. This cohort study was conducted in 79 centres in 24 European countries (EAIV) and 131 centres in 27 European countries (EAV). Eligible patients were aged 18-80 years, did not have diabetes, and were diagnosed with coronary artery disease 6-36 months (EAIV) or 6-24 months (EAV) before the investigation. Patients were investigated with OGTT (FPG and 2 h post-load glucose [2-hPG]) and HbA1c. Follow-up of subsequent cardiovascular events was done by means of a questionnaire at least 1 year after the baseline investigation. Analyses were done in patients with both OGTT and HbA1c data available. Outcome analysis in these patients was restricted to those with valid follow-up data available. 16 259 patients were interviewed in EAIV (2012-13) and EAV (2016-17). 8364 patients had both OGTT and HbA1C data and were included in the analysis population (3932 in EAIV and 4432 in EAV). Information on cardiovascular events was available in 7892 patients. Follow-up was for a median 1·6 years (IQR 1·2-2·0). The average patient age was 63·3 years (SD 9·8), and 6346 (75·9%) of 8364 patients were men. At baseline, 1856 (22·5%) of 8263 patients were determined to have newly detected type 2 diabetes using OGTT alone, compared with 346 (4·2%) using HbA1c alone. New dysglycaemia, defined as newly detected type 2 diabetes or impaired glucose tolerance (IGT), was present in 3896 (47·1%) of the patients according to 2hPG. 2hPG 9 mmol/L or greater (162 mg/dL, adjusted hazard ratio [aHR] 1·58; 95% CI 1·27-1·95, p<0·0001), and HbA1c 5·9% or greater (41 mmol/mol, aHR 1·48, 1·19-1·84; p=0·0010) were the strongest predictors of cardiovascular events, while FPG did not predict. A multivariable model showed that the effect of HbA1c on cardiovascular events was mainly explained by 2hPG (aHR for 1 unit increase in HbA1c 1·13, 0·98-1·30; p=0·11; and aHR for 1 unit increase in Ln[2hPG] 1·37, 1·08-1·74; p=0·0042). 2hPG appears better than HbA1c in detecting dysglycaemia and predicting its impact on future cardiovascular events in patients with coronary artery disease and should be recommended as the primary screening tool. Swedish Heart-Lung Foundation, Region Stockholm (ALF), the Erling Persson Foundation, the Baltic Child Foundation.

Glycated albumin may have a complementary role to glycated hemoglobin in glucose monitoring in childhood acute leukemia.

Glycated hemoglobin (HbA1c) as a glycemic index may have limited value in pediatric patients with acute leukemia as they often present with anemia and/or pancytopenia. To address this issue, we evaluated the usefulness of glycated albumin (GA) as a glycemic monitoring index in pediatric patients with acute leukemia. Medical records of 25 patients with type 2 diabetes mellitus (T2DM), 63 patients with acute leukemia, and 115 healthy children from Seoul St. Mary's Hospital, The Catholic University of Korea, were retrospectively investigated for serum GA, HbA1c, and fasting blood glucose (FBG) levels, along with demographic data. GA, HbA1c, and FBG levels did not differ between the control and acute leukemia groups. In the T2DM group, positive correlations were observed among GA, HbA1c, and FBG (P<0.01). Although GA level was not associated with the HbA1c level in the control group, GA and HbA1c levels showed a positive correlation in the acute leukemia group (P=0.045). Regression analysis revealed GA and HbA1c levels to be positively correlated in the acute leukemia and T2DM groups even after adjusting for age, sex, and body mass index z-score (P=0.007, P<0.01). GA may be a useful complementary parameter to HbA1c for glycemic monitoring in pediatric patients with acute leukemia, similar to its use in patients with T2DM.

A Biocompatible, Highly Sensitive, and Non-Enzymatic Glucose Electrochemical Sensor Based on a Copper-Cysteamine (Cu-Cy)/Chitosan-Modified Electrode.

A biocompatible, highly sensitive, and enzyme-free glucose electrochemical sensor was developed based on a copper-cysteamine (Cu-Cy)-modified electrode. The catalytically active biocompatible material Cu-Cy was immobilized on the electrode surface by the natural polymer chitosan (CTS). The electrochemical characterization and glucose response of the Cu-Cy/CTS/glassy carbon electrode (GCE) were investigated by electrochemical impedance spectroscopy (EIS), cyclic voltammetry (CV), and constant potential amperometry. The significant electrocatalytic activity of Cu-Cy to the oxidation of glucose in an alkaline environment was revealed. Several crucial parameters, including the number of scanning cycles for electrode activation, applied potential, and the contents of Cu-Cy and chitosan, were investigated to understand their impact on the sensor's response. The proposed sensing platform exhibited linear ranges of 2.7 μM to 1.3 mM and 1.3 mM to 7.7 mM for glucose detection, coupled with high sensitivity (588.28 and 124.42 μA·mM-1·cm-2), and commendable selectivity and stability. Moreover, a Cu-Cy/CTS-modified screen-printed electrode (SPE) was further developed for portable direct detection of glucose in real samples.

Preliminary Study on Pulse-Based Snack “Vadai” Reducing Postprandial Glycaemic Response in Healthy Malaysian Adults

Snack consumption contributes significantly to daily energy and nutrient intake. Low glycaemic index (GI) and glycaemic load (GL) snacks help modulate postprandial glucose (PPG) rise in prediabetes and diabetes. Masala Vadai (MS) and Medu Vadai (MD) are traditional Indian snacks made from pulses, where their GI and GL values and the effect on PPG remain unexplored. In this randomised cross-over trial, healthy adults (n=13, 19-30 years old, 22.3±2.3 kg/m2) consumed either MS, MD, or glucose solution as reference food (RF) containing 12.5g of available carbohydrate on three occasions with one week apart between each test. Capillary blood was measured at 0, 15, 30, 45, 60, 90, and 120 minutes to calculate incremental area under the curve (iAUC) and to estimate the GI. The results showed that when compared to RF, MD but not MS had significantly lower iAUC at 30-min (p=0.013) and 45-min (p=0.001). Both snacks had low peak blood glucose (p&lt;0.001) and incremental peak blood glucose (p&lt;0.001), wherein MD exhibited a more delayed effect than MS. However, time to peak blood glucose did not differ between the test foods and RF. MD and MS had low-medium GI (MD=47, MS=63) and low GL (MD=6, MS=8), respectively. In conclusion, MD attenuated PPG significantly more than MS in comparison to glucose solution, offering an advantage of glycaemic control. Even within similar pulse-based snacks, the GI value is important in influencing PPG. These findings will add to the GI compendium for Asian foods and will be useful to healthcare professionals in providing sound nutritional advice.

Effects of vitamin D supplementation on the glycaemic indices, lipid profile and liver function tests in patients with cirrhosis: a double-blind randomised controlled trial

BackgroundLiver cirrhosis is considered a progressive disease that can eventually result in death. Vitamin D deficiency is prevalent in patients with cirrhosis. Few studies have been conducted on the effect...

Recent Advances in Physical Processing Techniques to Enhance the Resistant Starch Content in Foods: A Review.

The physical modification of starch to produce resistant starch (RS) is a viable strategy for the glycemic index (GI) lowering of foods and functionality improvement in starchy food products. RS cannot be digested in the small intestine but can be fermented in the colon to produce short-chain fatty acids rather than being broken down by human digestive enzymes into glucose. This provides major health advantages, like better blood sugar regulation, weight control, and a lower chance of chronic illnesses. This article provides a concise review of the recent developments in physical starch modification techniques, including annealing, extrusion, high-pressure processing, radiation, and heat-moisture treatment. Specifically, the focus of this paper is on the alteration of the crystalline structure of starch caused by the heat-moisture treatment and annealing and its impact on the resistance of starch to enzymatic hydrolysis, as well as the granular structure and molecular arrangement of starch caused by extrusion and high-pressure processing, and the depolymerization and crosslinking that results from radiation. The impacts of these alterations on starch's textural qualities, stability, and shelf life are also examined. This review demonstrates how physically modified resistant starch can be used as a flexible food ingredient with both functional and health benefits. These methods are economically and ecologically sustainable since they successfully raise the RS content and improve its functional characteristics without the need for chemical reagents. The thorough analysis of these methods and how they affect the structural characteristics and health advantages of RS emphasizes the material's potential as an essential component in the creation of functional foods that satisfy contemporary dietary and health requirements.

Detection of hotspots and coldspots of the incidence of hand, foot and mouth diseases: A case study in Ho Chi Minh city, Vietnam

Background: Hand, foot, and mouth disease (HFMD) is a common pediatric illness mostly caused by Coxsackievirus A16 (CV-A16) and Human Enterovirus 71 (EV-A71). HFMD has grown significantly over the last 20 years, and it has drawn a lot of attention. To better understand of the epidemiology of HFMD, this study aims to investigate the use of Getis-Ord’s 𝐺𝑖 ∗ statistic in the identification of hotspots and coldspots of HFMD in Ho Chi Minh city, Vietnam. Methods: Getis-Ord’s 𝐺𝑖 ∗ statistic was first applied to identify hotspots and coldspots of HFMD incidence including highhigh, low-low spatial clusters. HFMD cases and infection rates collected in Ho Chi Minh were then used to explore the spatial clusters of HFMD Finally, the main findings will be discussed and summarised. Results: It was found that the large number of hand, foot and mouth disease cases were mainly concentrated in the western area of Ho Chi Minh City. A total of 04 hotspot clusters and 05 coldspots of HFMD infection rate were detected in the 29th week of 2024 in the west, center and north of Ho Chi Minh City, respectively. Whereas, 06 hotspots and 04 coldspots of HFMD infection rate were detected in the 30th week of 2024 in the west, south and center of Ho Chi Minh City, respectively. Conclusions: The results of this investigation confirm the value of Getis-Ord's 𝐺𝑖 ∗ statistic in the detection of hotspots and coldspots associated with confirmed cases of HFMD.

Effect of proteins and gums on rheology of rice flour, quality characteristics and estimated glycaemic index of low amylose rice gluten‐free penne

SummaryGluten‐free rice penne (GFRP) was developed from low amylose rice flour by incorporating egg white protein, soy protein isolate, guar gum and xanthan gum to produce penne with low estimated glycaemic index (eGI). The rheology of rice flour, textural properties, cooking quality, resistant starch (RS) and eGI of GFRP were investigated. Addition of proteins and hydrocolloids increased the storage modulus (G′) and loss modulus (G″). Rice gel with proteins and hydrocolloids formed a stronger and more elastic gel than the control, with highest G′ observed in rice gel with 5% egg white protein and 1% guar gum. Incorporation of proteins and hydrocolloids in GFRP significantly increased firmness, improved cooking quality and increased RS content. The eGI of GFRP added with egg white protein and guar gum reduced from seventy‐one to fifty‐three. Results suggested that the development of low eGI penne was possible by incorporating egg white proteins and guar gum.

Influence of Thermal Treatment and Granulometry on Physicochemical, Techno-Functional and Nutritional Properties of Lentil Flours.

Legume flours are an increasingly popular food ingredient. Thermal treatments applied prior to milling legumes and granulometry can modify flour properties, altering sensory, digestibility and functional attributes. Raw and treated (soaked and cooked) lentil flours of different granulometry were produced. The applied treatment resulted in an increase in fiber content (25.4 vs. 27.6% for raw and treated lentil flour, respectively) and water absorption capacity. It also led to a decrease in ash content (3.3 vs. 1.8% for raw and treated, respectively) and a darker flour. Treated lentil flour was mainly composed of fractions of high granulometry, which could be beneficial for products where a lower glycemic index is sought, as they demonstrated higher fiber and lower carbohydrate content than the finer fractions. Treated flour may be used as an ingredient in the development of raw products, including beverages and desserts, due to its reduced anti-nutritional compounds' content and enhanced organoleptic aspects. The obtained results allow an in-depth characterization of raw and treated lentils flour with different particle sizes to consider a formal and complete standardization of these flours and for understanding their utility and specific food applications.

Comparison of quality characteristics of reconstituted glutinous rice flour and sweet dumplings with various beans.

This study blended five types of beans-florid kidney bean, red adzuki bean, chickpea, black bean, and white kidney bean-with glutinous rice flour (GRF) to create a synergistic heat-moisture treatment (HMT). We investigated the effects of this combination on the digestibility of the glutinous rice mixture and the quality of sweet dumplings. The inclusion of beans, along with HMT, altered the granular morphology, adhesive qualities, thermal characteristics, crystallinity, and protein secondary structure of the blended powders compared to GRF. Notably, the starch granules in the glutinous rice flour with red adzuki bean (R-GRF) were more complete in morphology, compact in structure, and exhibited higher heat stabilization and crystallinity, with significant changes in protein secondary structure. These modifications resulted in a low expected glycemic index (eGI) value of 52.01. Additionally, the quality assessment of the fast-frozen sweet dumplings showed that those made with red adzuki bean mixed with glutinous rice flour (R-SD) had superior texture, reduced cracking, and less water loss compared to those made with GRF (G-SD), while maintaining similar color and odor to G-SD. The eGI value of 52.21 for R-SD also fell within the low eGI range, indicating its potential for developing low-eGI foods for patients with T2DM and other special populations.

LncRNA TUG1 transcript levels and psychological disorders: insights into interplay of glycemic index and glycemic load

BackgroundThere is an association between obesity and psychological disorders such as depression, anxiety, and stress. Environmental factors and genetics play a crucial role in this regard. Several long non-coding RNAs (lncRNAs) are involved in the pathophysiology of the nervous system. Additionally, we intend to investigate how dietary glycemic index and load relate to psychological disorders in women with obesity and overweight by identifying the possible interaction with metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and taurine upregulated gene 1 (TUG1).Methods267 overweight or obese women between the ages of 18 and 48 were recruited for the current study. A reliable and validated food frequency questionnaire (FFQ) consisting of 147 items assessed food consumption, glycemic load (GL), and glycemic index (GI). Depression-Anxiety-Stress Scales (DASS-21) were used to assess mental well-being. A real-time polymerase chain reaction (PCR) was used to assess transcript levels for lncRNAs MALAT1 and TUG1.ResultsIn obese and overweight women, a positive correlation was found between anxiety and MALAT1 mRNA levels (P = 0.007, CC = 0.178). Age, energy intake, physical activity, total fat, income, marriage, thyroid, and BMI were adjusted, and GI and TUG1 were positively correlated on DASS-21 (β = 0.006, CI = 0.001, 0.01, P = 0.031), depression (β = 0.002, CI = 0.001, 0.004, P = 0.019), Stress (β = 0.003, CI = 0.001, 0.005, P = 0.027). The interaction of GL and TUG1 on stress was also observed (β = 0.03, CI = 0.001, 0.07, P = 0.048).ConclusionsThe lncRNA TUG1 appears to be associated with depression and stress through interaction with GI and correlated with stress by interaction with GL. To establish this concept, further research is required.

Breadmaking Potential of Andean Roots and Tuber Starches from Ahipa (Pachyrhizus ahipa), Oca (Oxalis tuberosa), and Arracacha (Arracacia xanthorrhiza)

AbstractAim is to explore the breadmaking potential for gluten‐free goods of non‐conventional starches from Andean crops ahipa, oca, and arracacha. Their characteristics and performance in breadmaking are compared with those of cassava, taken as a reference for conventional gluten‐free root starch. Physicochemical properties of breads are studied along with the pasting and thermal properties, composition, and α‐amylase hydrolysis of starches. Arracacha starch has the lowest amylose content (2.4%) and the highest water hydration (1.4 g g−1). Its batter shows adequate proofing, but the bread is highly adhesive, with dense crumb. Ahipa starch paste has the lowest peak, trough and final viscosities determined by rapid visco analyzer, and the highest hydrolysis rate (kRVA = 2.30 min−1). Its batter exhibits, along with oca, the highest volume increase during fermentation (193–197%), but structure collapses in the oven and no alveoli are observed in the crumb. Conversely, oca forms a crumb structure similar to cassava, but with higher cell density (131 alveoli cm−2), cohesiveness (0.95), and resilience (0.65) than the latter (71 alveoli cm−2, 0.88, and 0.45, respectively). Oca starch has lower pasting temperature (64 °C) and the starch paste has similar hydrolysis rate (kRVA = 1.92 min−1) compared to cassava (71.9 °C and 2.08 min−1, respectively), making it a suitable option for providing gluten‐free yeast‐leavened breads with improved technological properties and a comparable glycemic index.

The association between dietary nitrate, nitrite and total antioxidant capacity with cardiometabolic risk factors: a cross-sectional study among patients with type 2 diabetes

Diabetes is a common, chronic, and complex disorder that leads to several disabilities and serious complications. Certain nutrients can be effective in the management of diabetes mellitus. In the present study, we aimed to investigate the effects of dietary nitrate, nitrite, dietary total antioxidant capacity (DTAC), and nitric oxide (NO) index on some cardiometabolic parameters in patients with diabetes. This cross-sectional study was conducted on 100 participants with type 2 diabetes. A validated, semi-quantitative, food frequency questionnaire was collected to evaluate dietary intakes. Anthropometric parameters, blood pressure, and biochemical parameters, including glycemic indices, lipid profile, high-sensitive C-reactive protein (hs-CRP), and serum NO were measured using standard methods. Higher intakes of nitrate and nitrite in our study were primarily attributed to drinking water, vegetables, grains (for nitrate), dairy products, and legumes (for nitrite) rather than higher meat intakes. After adjustment for total energy, MET, BMI, and age, higher intake of nitrate was related to lower HbA1C (p = 0.001) and hs-CRP (p = 0.0.23), and greater HDL-C (p < 0.001) and serum NO (p = 0.008). Moreover, a greater nitrite intake was associated with lower DBP (p = 0.017), HbA1C (p = 0.040), FPG (p = 0.011), and higher serum NO values (p = 0.001). Higher amounts of DTAC and NO index were also related to greater DBP (p < 0.001, and p = 0.004, respectively) and lower hs-CRP (p = 0.004, and p = 0.009, respectively). High intakes of dietary nitrate and nitrite, in the context of high DTAC, are significantly associated with the improvement of some cardiometabolic parameters in patients with diabetes.

Multiomics of a rice population identifies genes and genomic regions that bestow low glycemic index and high protein content

To counter the rising incidence of diabetes and to meet the daily protein needs, we created low glycemic index (GI) rice varieties with protein content (PC) surpassing 14%. In the development of recombinant inbred lines using Samba Mahsuri and IR36 amylose extender (IR36ae) as parental lines, we identified quantitative trait loci and genes associated with low GI, high amylose content (AC), and high PC. By integrating genetic techniques with classification models, this comprehensive approach identified candidate genes on chromosome 2 (qGI2.1/qAC2.1 spanning the region from 18.62 Mb to 19.95 Mb), exerting influence on low GI and high amylose. Notably, the phenotypic variant with high value was associated with the recessive allele of the starch branching enzyme 2b (sbeIIb). The genome-edited sbeIIb line confirmed low GI phenotype in milled rice grains. Further, combinations of alleles created by the highly significant SNPs from the targeted associations and epistatically interacting genes showed ultralow GI phenotypes with high amylose and high protein. Metabolomics analysis of rice with varying AC, PC, and GI revealed that the superior lines of high AC and PC, and low GI were preferentially enriched in glycolytic and amino acid metabolisms, whereas the inferior lines of low AC and PC and high GI were enriched with fatty acid metabolism. The high amylose high protein recombinant inbred line (HAHP_101) was enriched in essential amino acids like lysine. Such lines may be highly relevant for food product development to address diabetes and malnutrition.

A Randomized Controlled Trial Comparing the Effects of Vilazodone, Escitalopram, and Vortioxetine Monotherapy on the Metabolic Parameters in Patients With Major Depressive Disorder.

The coexistence of major depressive disorder (MDD) and metabolic illness could culminate in an aberrant metabolic profile. Individuals with MDD and type 2 diabetes mellitus (T2DM) are more likely to have impaired metabolic indicators. Effective antidepressant therapy can alleviate depressive symptoms and metabolic abnormalities. We focused on the effects of vilazodone, escitalopram, and vortioxetine on metabolic indices. Our research aimed to examine changes after 16 weeks of intervention in the glycemic indices, serum creatinine, lipid profile, hepatic parameters, and the Hamilton Depression Rating Scale (HDRS) 17-item version. A three-arm, randomized, open-label trial with 96 MDD patients was executed. Participants were divided into three distinct groups in a 1:1:1 ratio for 16 weeks and issued tablets of vilazodone (20-40 mg/day), escitalopram (10-20 mg/day), or vortioxetine (5-20 mg/day). Vilazodone and vortioxetine were the two test medications, while escitalopram served as the control. We stratified the participants as non-diabetics and diabetics. Follow-up appointments were slated four weeks after the initial visit. HDRS scores and other metabolic indicators were assessed at each visit in the per-protocol (PP) population. After 12 weeks, glycated hemoglobin (HbA1c) levels were measured. Lower HDRS scores indicated that depression-related symptoms had improved. We investigated the relationship between the 16-week differences in the fasting blood sugar(FBS) and HDRS scores. The Kruskal-Wallis test, Bonferroni correction, and Pearson correlation were all used in our analysis. We registered our trial prospectively in the Clinical Trial Registry of India (CTRI) (2022/07/043808). Of the 134 people we screened, 119 (81.34%) were deemed eligible. The PP population included 96 (88.07%) of those who completed the 16-week study. The population's average age was 46.3 ± 6.2 years. Across all study groups, the median baseline HDRS score was 30.0 (p = 0.964). At 16 weeks, the equivalent scores dropped to 15.0, 14.0, and 13.0 (p = 0.002). The median FBS levels at baseline and 16 weeks were 100.5, 104.0, and 98.0 (p = 0.491) and 91.5, 98.5, and 91.5 (p = 0.561), respectively. The post hoc analysis manifested no statistically significant changes between any parameters. Except for the reductions in glycemic indices in diabetic patients, no other data differed significantly. There was a positive relationship between FBS and HDRS scores. Irrespective of the diabetic situation, all three drugs substantially lowered HDRS scores. People with diabetes experienced noticeable declines in glycemic indices. Despite this, the patients' other metabolic indicators showed no significant alterations. We urge additional research with a larger sample size to investigate these medications' long-term impact on various metabolic indicators.

Enzymatic hydrolysis method for development of low glycemic index rice flour from temperate grown rice (var. Jehlum): Numerical optimization, rheological and spectroscopic characteristics

This study aimed at optimizing process protocols for development of low glycemic index (GI) rice flour (LGIRF) by employing enzymatic hydrolysis method using central composite rotatable design (CCRD). LGIRF was evaluated for pasting, farinographic, spectroscopic and microbiological attributes. Independent variables for optimization included concentrations of α-amylase (0.02–0.12 %), glucoamylase (0.02–0.24 %), as well as the incubation temperature (55–80°C). Resistant starch (RS), glycemic index (GI) and glycemic load (GL) were investigated as response variables. The optimum conditions for development of LGIRF with better quality were- α-amylase concentration of 0.040 %, glucoamylase concentration of 0.070 % and an incubation temperature of 60 °C. The results of mineral analysis revealed significantly (p < 0.05) lower levels of boron, potassium, zinc, phosphorus, magnesium, and manganese in LGIRF, while iron and copper were significantly higher. The viscosity profile as evident from pasting profile and farinographic characteristics of LGIRF were significantly (p < 0.05) lower than native rice flour. 1H NMR and 13C NMR spectroscopic studies showed an increase in flexible starch segments and a decrease in amorphous portion of starch LGIRF, along with chemical shift alterations in carbons 1 and 4. Free fatty acids and total plate count were significantly (p < 0.05) higher in LGIRF although was within limits.

Technological Properties of Inulin-Enriched Doughs and Breads, Influence on Short-Term Storage and Glycemic Response.

The use of inulin in food is highly appreciated by consumers because of its prebiotic effect. In this study, the effects of increasing additions (5, 10 and 20%) of inulin as a substitute for wheat flour in bread production were investigated with regard to the physical, technological and rheological properties of the flour blends. Inulin reduced the water-binding capacity from 1.4 g/100 g with 0 flour to 0.80 g/100 g with the 20% inulin addition, while there were no statistical differences in the oil-binding capacity. The addition of inulin also influenced the yeast rates, especially in the samples with 5 and 10% addition. On the farinograph, inulin caused a reduction in water absorption (40.75 g/100 g with 20% inulin), an increase in dough development time (18.35 min with 10% inulin) and dough stability (13.10 min with 10% inulin). The mixograph showed a longer kneading time for the sample with 20% inulin (8.70 min) than for the control (4.61 min). In addition, there was an increase in dough firmness and tightness due to the addition of inulin (W: 203 × 10-4 J; P/L: 4.55 for the 20% inulin sample) compared with the control. The physical and technological properties of the loaves were evaluated at time 0 and after 4 days (T4). The addition of inulin reduced the volume of the bread while increasing the weight, albeit with a weight loss at T4 (compared to T0) of 4.8% for the 20% inulin and 14.7% for the control. The addition of inulin caused a darkening of the crust of the enriched bread, proportional to the increase in inulin content. In addition, the inulin content ranged from 0.82 g/100 g in the control to 14.42 g/100 g in the 20% inulin bread, while the predicted glycemic index ranged from 94.52 in the control to 89.39 in the 20% inulin bread. The available data suggest that the formulation with 5% inulin provides the highest performance.

From Stability to Variability: Classification of Healthy Individuals, Prediabetes, and Type 2 Diabetes Using Glycemic Variability Indices from Continuous Glucose Monitoring Data.

Objective: This study aims to investigate the continuum of glucose control from normoglycemia to dysglycemia (HbA1c ≥ 5.7%/39 mmol/mol) using metrics derived from continuous glucose monitoring (CGM). In addition, we aim to develop a machine learning-based classification model to classify dysglycemia based on observed patterns. Methods: Data from five distinct studies, each featuring at least two days of CGM, were pooled. Participants included individuals classified as healthy, with prediabetes, or with type 2 diabetes mellitus (T2DM). Various CGM indices were extracted and compared across groups. The data set was split 70/30 for training and testing two classification models (XGBoost/Logistic Regression) to differentiate between prediabetes or dysglycemia and the healthy group. Results: The analysis included 836 participants (healthy: n = 282; prediabetes: n = 133; T2DM: n = 432). Across all CGM indices, a progressive shift was observed from the healthy group to those with diabetes (P < 0.001). Statistically significant differences (P < 0.01) were noted in mean glucose, time below range, time above 140 mg/dl, mobility, multiscale complexity index, and glycemic risk index when transitioning from health to prediabetes. The XGBoost models achieved the highest receiver operating characteristic area under the curve values on the test data set ranging from 0.91 [confidence interval (CI): 0.87-0.95] (prediabetes identification) to 0.97 [CI: 0.95-0.98] (dysglycemia identification). Conclusion: Our findings demonstrate a gradual deterioration of glucose homeostasis and increased glycemic variability across the spectrum from normo- to dysglycemia, as evidenced by CGM metrics. The performance of CGM-based indices in classifying healthy individuals and those with prediabetes and diabetes is promising.

Expanding the repertoire of Antibody Drug Conjugate (ADC) targets with improved tumor selectivity and range of potent payloads through in-silico analysis.

Antibody-Drug Conjugates (ADCs) have emerged as a promising class of targeted cancer therapeutics. Further refinements are essential to unlock their full potential, which is currently limited by a lack of validated targets and payloads. Essential aspects of developing effective ADCs involve the identification of surface antigens, ideally distinguishing target tumor cells from healthy types, uniformly expressed, accompanied by a high potency payload capable of selective targeting. In this study, we integrated transcriptomics, proteomics, immunohistochemistry and cell surface membrane datasets from Human Protein Atlas, Xenabrowser and Gene Expression Omnibus utilizing Lantern Pharma's proprietary AI platform Response Algorithm for Drug positioning and Rescue (RADR®). We used this in combination with evidence based filtering to identify ADC targets with improved tumor selectivity. Our analysis identified a set of 82 targets and a total of 290 target indication combinations for effective tumor targeting. We evaluated the impact of tumor mutations on target expression levels by querying 416 genes in the TCGA mutation database against 22 tumor subtypes. Additionally, we assembled a catalog of compounds to identify potential payloads using the NCI-Developmental Therapeutics Program. Our payload mining strategy classified 729 compounds into three subclasses based on GI50 values spanning from pM to 10 nM range, in combination with sensitivity patterns across 9 different cancer indications. Our results identified a diverse range of both targets and payloads, that can serve to facilitate multiple choices for precise ADC targeting. We propose an initial approach to identify suitable target-indication-payload combinations, serving as a valuable starting point for development of future ADC candidates.

Research on the Functional Improvement of Ultra-high Pressure Rice Soaked in Ferulic Acid

In today s society, with the rising number of diabetes patients, the project group studied the effect of different concentrations of ferulic acid solution and ultra-high pressure processing on rice quality. The results showed that ultra-high pressure technology could improve taste, appearance and reduce GI value. With the increase of ferulic acid concentration under the joint action of UHP and ferulic acid solution, the hypoglycemic effect improved. SPSS analysis found that 1.5% ferulic acid and 400MPa, 10min ultra-high pressure treatment had the best comprehensive effects. It is hoped to develop ultra-high pressure rice suitable for diabetics, obese and weight loss people, upgrading ordinary rice to nutritional rice and hypoglycemic rice .