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1.
Plant Phenomics ; 6: 0185, 2024.
Article in English | MEDLINE | ID: mdl-38827955

ABSTRACT

Predicting plant development, a longstanding goal in plant physiology, involves 2 interwoven components: continuous growth and the progression of growth stages (phenology). Current models for winter wheat and soybean assume species-level growth responses to temperature. We challenge this assumption, suggesting that cultivar-specific temperature responses substantially affect phenology. To investigate, we collected field-based growth and phenology data in winter wheat and soybean over multiple years. We used diverse models, from linear to neural networks, to assess growth responses to temperature at various trait and covariate levels. Cultivar-specific nonlinear models best explained phenology-related cultivar-environment interactions. With cultivar-specific models, additional relations to other stressors than temperature were found. The availability of the presented field phenotyping tools allows incorporating cultivar-specific temperature response functions in future plant physiology studies, which will deepen our understanding of key factors that influence plant development. Consequently, this work has implications for crop breeding and cultivation under adverse climatic conditions.

2.
Exp Clin Endocrinol Diabetes ; 131(10): 532-538, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37467782

ABSTRACT

AIMS: Transition from pediatric to adult care is difficult for patients with chronic diseases. In this study, factors associated with metabolic control in childhood-onset type 1 diabetes (T1D) after transfer to adult care were analyzed. METHODS: Overall, 224 persons with T1D were contacted yearly from 1998 to 2019. They voluntarily answered a questionnaire about their current hemoglobin A1c (HbA1c) levels, diabetes-associated complications, kind of care, living conditions, and family situation. Then, mixed longitudinal-cross-sectional analyses were carried out. RESULTS: Overall, 190 patients answered at least once (mean age: 26.6 years). Diabetes complications were mentioned by 10 patients (5 microalbuminuria, 5 retinopathy). Most patients (92.6%) were in diabetes-specific care during the first year after transfer, with a trend to leave diabetes-specific care during the observation period. Patients in diabetes-specific care displayed lower HbA1c levels (%/mmol/mol) (7.1/54 vs. 7.5/58). An important predictor for HbA1c after transfer was HbA1c during the year before transfer (r=0.67, p <0.001). Patients living alone showed no difference in HbA1c levels from those living with their parents. Married patients had lower HbA1c levels (7.0/53 vs. 7.3/56, p<0.05) than unmarried ones. Patients with children (15.8%) presented lower HbA1c levels (6.9/52 vs. 7.3/56, p <0.01) than those without. CONCLUSIONS: Good metabolic results are favored in patients followed-up in specialized care, are married, and are parents. We recommend transfer to a diabetologist with experience in T1D at an individual age.


Subject(s)
Diabetes Complications , Diabetes Mellitus, Type 1 , Transition to Adult Care , Humans , Child , Adult , Diabetes Mellitus, Type 1/therapy , Diabetes Mellitus, Type 1/complications , Glycated Hemoglobin , Cross-Sectional Studies
3.
Exp Clin Endocrinol Diabetes ; 129(12): 873-877, 2021 Dec.
Article in English | MEDLINE | ID: mdl-32434238

ABSTRACT

OBJECTIVE: Dietary proteins raise blood glucose levels; dietary fats delay this rise. We sought to assess the insulin amount required to normalize glucose levels after a fat- and protein-rich meal (FPRM). METHODS: Sixteen adolescents (5 female) with type 1 diabetes (median age: 18.2 years; range: 15.2-24.0; duration: 7.1 years; 2.3-14.3; HbA1c: 7.2%; 6.2-8.3%) were included. FPRM (carbohydrates 57 g; protein 92 g; fat 39 g; fibers 7 g; calories 975 Kcal) was served in the evening, with 20 or 40% extra insulin compared to a standard meal (SM) (carbohydrates 70 g; protein 28 g; fat 19 g; fibers 10 g; calories 579 Kcal) or carbohydrates only. Insulin was administered for patients on intensified insulin therapy or as a 4-hour-delayed bolus for those on pump therapy. The 12-hour post-meal glucose levels were compared between FPRM and SM, with the extra insulin amount calculated based on 100 g proteins as a multiple of the carbohydrate unit. RESULTS: Glucose levels (median, mg/dL) 12-hour post-meal with 20% extra insulin vs. 40% vs. insulin dose for SM were 116 vs. 113 vs. 91. Glucose-AUC over 12-hour post-meal with 20% extra insulin vs. 40% vs. insulin dose for SM was 1603 mg/dL/12 h vs. 1527 vs. 1400 (no significance). Glucose levels in the target range with 20% extra insulin vs. 40% were 60% vs. 69% (p=0.1). Glucose levels <60 mg/dL did not increase with 40% extra insulin. This corresponds to the 2.15-fold carbohydrate unit for 100 g protein. CONCLUSIONS: We recommend administering the same insulin dose given for 1 carbohydrate unit (10 g carbs) to cover 50 g protein.


Subject(s)
Diabetes Mellitus, Type 1/drug therapy , Diabetes Mellitus, Type 1/metabolism , Dietary Fats/metabolism , Dietary Proteins/metabolism , Hypoglycemic Agents/administration & dosage , Insulin/administration & dosage , Meals , Adolescent , Adult , Female , Humans , Male , Young Adult
4.
Pediatr Diabetes ; 16(8): 587-91, 2015 Dec.
Article in English | MEDLINE | ID: mdl-25330823

ABSTRACT

OBJECTIVE: Traditionally insulin dosage is focused on the carbohydrate amount of meals. We investigated the influence of a fat- and protein-rich meal in the evening on glucose concentration over night in adolescents with type 1 diabetes. RESEARCH DESIGN AND METHODS: Fifteen patients, mean age 16.8 [standard deviation (SD) 2.9] yr participated in the study. Mean glycated hemoglobin (HbA1c) was 6.9 (range: 6.0-8.9) %. On two consecutive days the patients received a standard meal (SM) and a fat-protein-rich evening meal (FPRM). The carbohydrate amount remained identical and insulin was adjusted to this carbohydrate amount with the individual carbohydrate bolus. Glucose was measured continuously over night with the Enlite sensor and the Guardian system (Medtronic) during the following 12 h after the meal. RESULTS: Glucose area under the curve (AUC) for SM was 1400 (SD 580) mg/dL/12 h and for FPRM 1968 (SD 394) mg/dL/12 h (p < 0.05). There was a significant difference in the AUC between 4 and 12 h after the meal. Maximal AUC difference was 6 h after the meal. Glucose concentration in the morning (12 h after the meal) differed: 91 (SD 34) mg/dL after SM and 153 (SD 60) mg/dL after FPRM (p < 0.05). For SM 31% of glucose level were <80 mg/dL and 24% >150 mg/dL, for FPRM it was 3 and 48%. CONCLUSIONS: Twelve hours after a FPRM glucose concentration is significantly higher. Dietary counseling should include the effect of protein and fat on glucose levels in adolescents with type 1 diabetes. The data indicate clearly a need for additional insulin for fat-protein-rich meals.


Subject(s)
Blood Glucose/drug effects , Diabetes Mellitus, Type 1/blood , Dietary Fats/pharmacology , Dietary Proteins/pharmacology , Adolescent , Cross-Over Studies , Female , Humans , Male , Pilot Projects , Young Adult
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