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Rauscher FG, Elze T, Francke M, Martinez-Perez ME, Li Y, Wirkner K, Tönjes A, Engel C, Thiery J, Blüher M, Stumvoll M, Kirsten T, Loeffler M, Ebert T, Wang M. Glucose tolerance and insulin resistance/sensitivity associate with retinal layer characteristics: the LIFE-Adult-Study. Diabetologia 2024; 67:928-939. [PMID: 38431705 PMCID: PMC10954961 DOI: 10.1007/s00125-024-06093-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 11/08/2023] [Indexed: 03/05/2024]
Abstract
AIMS/HYPOTHESIS As the prevalence of insulin resistance and glucose intolerance is increasing throughout the world, diabetes-induced eye diseases are a global health burden. We aim to identify distinct optical bands which are closely related to insulin and glucose metabolism, using non-invasive, high-resolution spectral domain optical coherence tomography (SD-OCT) in a large, population-based dataset. METHODS The LIFE-Adult-Study randomly selected 10,000 participants from the population registry of Leipzig, Germany. Cross-sectional, standardised phenotyping included the assessment of various metabolic risk markers and ocular imaging, such as SD-OCT-derived thicknesses of ten optical bands of the retina. Global and Early Treatment Diabetic Retinopathy Study (ETDRS) subfield-specific optical retinal layer thicknesses were investigated in 7384 healthy eyes of 7384 participants from the LIFE-Adult-Study stratified by normal glucose tolerance, prediabetes (impaired fasting glucose and/or impaired glucose tolerance and/or HbA1c 5.7-6.4% [39-47 mmol/mol]) and diabetes. The association of optical retinal band characteristics with different indices of glucose tolerance (e.g. fasting glucose, area under the glucose curve), insulin resistance (e.g. HOMA2-IR, triglyceride glucose index), or insulin sensitivity (e.g. estimated glucose disposal rate [eGDR], Stumvoll metabolic clearance rate) was determined using multivariable linear regression analyses for the individual markers adjusted for age, sex and refraction. Various sensitivity analyses were performed to validate the observed findings. RESULTS In the study cohort, nine out of ten optical bands of the retina showed significant sex- and glucose tolerance-dependent differences in band thicknesses. Multivariable linear regression analyses revealed a significant, independent, and inverse association between markers of glucose intolerance and insulin resistance (e.g. HOMA2-IR) with the thickness of the optical bands representing the anatomical retinal outer nuclear layer (ONL, standardised β=-0.096; p<0.001 for HOMA2-IR) and myoid zone (MZ; β=-0.096; p<0.001 for HOMA2-IR) of the photoreceptors. Conversely, markers of insulin sensitivity (e.g. eGDR) positively and independently associated with ONL (β=0.090; p<0.001 for eGDR) and MZ (β=0.133; p<0.001 for eGDR) band thicknesses. These global associations were confirmed in ETDRS subfield-specific analyses. Sensitivity analyses further validated our findings when physical activity, neuroanatomical cell/tissue types and ETDRS subfield categories were investigated after stratifying the cohort by glucose homeostasis. CONCLUSIONS/INTERPRETATION An impaired glucose homeostasis associates with a thinning of the optical bands of retinal ONL and photoreceptor MZ. Changes in ONL and MZ thicknesses might predict early metabolic retinal alterations in diabetes.
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Affiliation(s)
- Franziska G Rauscher
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
- Department of Medical Data Science, University of Leipzig Medical Center, Leipzig, Germany
| | - Tobias Elze
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Schepens Eye Research Institute of Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Mike Francke
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
| | - M Elena Martinez-Perez
- Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Ciudad de México, Mexico
| | - Yangjiani Li
- Schepens Eye Research Institute of Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
| | - Kerstin Wirkner
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
| | - Anke Tönjes
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Christoph Engel
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
| | - Joachim Thiery
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, Leipzig University, Leipzig, Germany
| | - Matthias Blüher
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Toralf Kirsten
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
- Department of Medical Data Science, University of Leipzig Medical Center, Leipzig, Germany
| | - Markus Loeffler
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany
| | - Thomas Ebert
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany.
| | - Mengyu Wang
- Leipzig Research Centre for Civilization Diseases (LIFE), Leipzig University, Leipzig, Germany
- Schepens Eye Research Institute of Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA
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Schürfeld R, Baratashvili E, Würfel M, Blüher M, Stumvoll M, Tönjes A, Ebert T. Circulating acyl-CoA-binding protein/diazepam-binding inhibitor in gestational diabetes mellitus. Reprod Biol Endocrinol 2023; 21:96. [PMID: 37872629 PMCID: PMC10591366 DOI: 10.1186/s12958-023-01152-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/13/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Acyl-CoA-binding protein (ACBP)/diazepam-binding inhibitor has recently been characterized as an endocrine factor affecting energy balance and lipid metabolism. However, regulation of ACBP in women with gestational diabetes mellitus (GDM) during pregnancy, as well as postpartum, has not been investigated, so far. METHODS ACBP was quantified in 74 women with GDM and 74 healthy, gestational age-matched, pregnant controls using an enzyme-linked immunosorbent assay. Furthermore, ACBP was quantified post-partum in 82 women (i.e. 41 women with previous GDM vs. 41 previous control women). ACBP was related to measures of obesity, hypertension, glucose and lipid metabolism, renal function, and inflammation during pregnancy and postpartum. RESULTS During pregnancy, median [interquartile range] ACBP levels were not significantly different in women with GDM (40.9 [40.0] µg/l) compared to healthy, pregnant controls (29.1 [32.3] µg/l) (p = 0.215). ACBP serum concentrations increased from 30.3 [40.5] µg/l during pregnancy to 59.7 [33.2] µg/l after pregnancy in the entire cohort (p < 0.001). This observed elevation was consistent across both subgroups of women, those with prior GDM and those without. Multivariate analysis revealed that homeostasis model assessment of beta cell function (HOMA2-B) and creatinine positively and independently correlated with serum ACBP after pregnancy, while multivariate analysis during pregnancy showed no significant correlations. CONCLUSIONS Circulating ACBP is not a marker of GDM status, but ACBP is decreased during pregnancy, irrespective of GDM status. Furthermore, ACBP is related to beta cell function and renal markers in women after pregnancy.
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Affiliation(s)
- Robin Schürfeld
- Medical Department III - Endocrinology, University Hospital Leipzig, 04103, Nephrology, Rheumatology, Leipzig, Germany.
| | - Ekaterine Baratashvili
- Medical Department III - Endocrinology, University Hospital Leipzig, 04103, Nephrology, Rheumatology, Leipzig, Germany
| | - Marleen Würfel
- Medical Department III - Endocrinology, University Hospital Leipzig, 04103, Nephrology, Rheumatology, Leipzig, Germany
| | - Matthias Blüher
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG, Helmholtz Zentrum München at the University of Leipzig and University Hospital, Leipzig, Germany
| | - Michael Stumvoll
- Medical Department III - Endocrinology, University Hospital Leipzig, 04103, Nephrology, Rheumatology, Leipzig, Germany
| | - Anke Tönjes
- Medical Department III - Endocrinology, University Hospital Leipzig, 04103, Nephrology, Rheumatology, Leipzig, Germany
| | - Thomas Ebert
- Medical Department III - Endocrinology, University Hospital Leipzig, 04103, Nephrology, Rheumatology, Leipzig, Germany
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Mohammed AA, Abo El-Matty DM, Abd ElSalam EA, Hussein MA, Hafez W, Ibrahim SA, Shaheen EAH, Awad EA, Osman MA, Abd El-Raouf MS, Saed SM, El-Amir RY, Ghaith D, Al Anouti F, Wahba AS. Evaluating the Feasibility of Pro-Neurotensin and 25-Hydroxyvitamin D3 as Possible Indicators for Type 2 Diabetes Mellitus and Its Complications. Healthcare (Basel) 2023; 11:healthcare11081088. [PMID: 37107924 PMCID: PMC10138095 DOI: 10.3390/healthcare11081088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/01/2023] [Accepted: 04/06/2023] [Indexed: 04/29/2023] Open
Abstract
(1) Background: Type 2 diabetes mellitus (T2DM) and metabolic syndrome are associated with decreased vitamin D. In contrast, high pro-neurotensin (pro-NT) levels are linked with an increased risk of T2DM and cardiovascular disease. We aimed to determine the validity of pro-NT and 25-dihydroxy vitamin D3 levels as predictors for T2DM complications; (2) Methods: One hundred T2DM, and one hundred healthy volunteers participated in this case-control study. Their Pro-NT and 25-hydroxyvitamin D3 levels were evaluated using the ELISA technique; (3) Results: Pro-NT and 25 (OH) vitamin D3 have significant validity and accuracy in T2DM prediction, 84.5%, and 90.5%, respectively (p = 0.001). At a value of <29.5, 25-Hydroxy vitamin D3 showed 88% sensitivity and 93% specificity in predicting T2DM. At a value of >124 Pmol/L, Pro-NT showed 81% sensitivity and 88% specificity in predicting T2DM. At a value of 16.5, 25-Hydroxy vitamin D3 had 78.4% sensitivity and 68.3% specificity in predicting T2DM complications. At a value of >158 pmol/L, Pro-NT predicted T2DM complications with 67.6% sensitivity and 56.0% specificity; (4) Conclusions: 25 (OH) Vit D3 and Pro-NT could identify T2DM patients and predict T2DM complications. More extensive research is required to adequately validate this novel perspective with a large population study.
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Affiliation(s)
- Amal A Mohammed
- Department of Biochemistry and Molecular Biology, National Hepatology and Tropical Medicine Research Institute (NHTMRI), Cairo 11796, Egypt
| | - Dina M Abo El-Matty
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt
| | - Esraa A Abd ElSalam
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt
| | - Mona A Hussein
- Department of Internal Medicine, National Institute of Diabetes and Endocrinology, Cairo 11562, Egypt
| | - Wael Hafez
- Department of Internal Medicine, The National Research Centre, Cairo 11511, Egypt
| | - Sharehan A Ibrahim
- Department of Internal Medicine, Faculty of Medicine, Minia University, Minya 61511, Egypt
| | - Eman A H Shaheen
- Department of Clinical and Chemical Pathology, Faculty of Medicine, Helwan University, Cairo 11795, Egypt
| | - Eman A Awad
- Department of Internal Medicine, Faculty of Medicine for Girls, Al-Azhar University, Cairo 11795, Egypt
| | - Marwa A Osman
- Department of Neurology, Faculty of Medicine for Girls, Al-Azhar University, Cairo 11884, Egypt
| | - Marwa S Abd El-Raouf
- Department of Public Health, Faculty of Medicine, Benha University, Benha 13511, Egypt
| | - Salma M Saed
- Department of Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Cairo 11566, Egypt
| | - Reham Y El-Amir
- Department of Public Health, Faculty of Medicine, Cairo University, Giza 12211, Egypt
| | - Doaa Ghaith
- Department of Clinical and Chemical Pathology Department, Faculty of Medicine, Cairo University, Cairo 11566, Egypt
| | - Fatme Al Anouti
- Department of Health Sciences, College of Natural and Health Sciences, Zayed University, Abu Dhabi 144534, United Arab Emirates
| | - Alaa S Wahba
- Department of Biochemistry and Molecular Biology, Faculty of Pharmacy, Suez Canal University, Ismailia 41522, Egypt
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Ramirez-Virella J, Leinninger GM. The Role of Central Neurotensin in Regulating Feeding and Body Weight. Endocrinology 2021; 162:6144574. [PMID: 33599716 PMCID: PMC7951050 DOI: 10.1210/endocr/bqab038] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Indexed: 12/16/2022]
Abstract
The small peptide neurotensin (Nts) is implicated in myriad processes including analgesia, thermoregulation, reward, arousal, blood pressure, and modulation of feeding and body weight. Alterations in Nts have recently been described in individuals with obesity or eating disorders, suggesting that disrupted Nts signaling may contribute to body weight disturbance. Curiously, Nts mediates seemingly opposing regulation of body weight via different tissues. Peripherally acting Nts promotes fat absorption and weight gain, whereas central Nts signaling suppresses feeding and weight gain. Thus, because Nts is pleiotropic, a location-based approach must be used to understand its contributions to disordered body weight and whether the Nts system might be leveraged to improve metabolic health. Here we review the role of Nts signaling in the brain to understand the sites, receptors, and mechanisms by which Nts can promote behaviors that modify body weight. New techniques permitting site-specific modulation of Nts and Nts receptor-expressing cells suggest that, even in the brain, not all Nts circuitry exerts the same function. Intriguingly, there may be dedicated brain regions and circuits via which Nts specifically suppresses feeding behavior and weight gain vs other Nts-attributed physiology. Defining the central mechanisms by which Nts signaling modifies body weight may suggest strategies to correct disrupted energy balance, as needed to address overweight, obesity, and eating disorders.
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Affiliation(s)
- Jariel Ramirez-Virella
- Neuroscience Program, Michigan State University, East Lansing, Michigan, USA
- Department of Pharmacology and Toxicology, Michigan State University, East Lansing, Michigan, USA
| | - Gina M Leinninger
- Neuroscience Program, Michigan State University, East Lansing, Michigan, USA
- Department of Physiology, Michigan State University, East Lansing, Michigan, USA
- Correspondence: Gina M. Leinninger, PhD, Department of Physiology, Michigan State University, 5400 ISTB, 766 Service Rd, East Lansing, MI 48824, USA.
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Adipocytokines are not associated with gestational diabetes mellitus but with pregnancy status. Cytokine 2020; 131:155088. [PMID: 32283441 DOI: 10.1016/j.cyto.2020.155088] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/12/2020] [Accepted: 04/01/2020] [Indexed: 02/08/2023]
Abstract
AIMS Adipose tissue-secreted proteins, i.e. adipocytokines, have been identified as potential mediators linking fat mass and adipose tissue dysfunction with impaired glucose homeostasis, alterations in the inflammatory status, and risk of diabetes. The aim of this study was to determine whether seven circulating adipocytokines are associated with gestational diabetes mellitus (GDM) or are altered by metabolic and weight changes during pregnancy itself. METHODS A panel of seven adipocytokines (i.e. adiponectin, adipocyte fatty acid-binding protein, chemerin, leptin, Pro-Enkephalin, progranulin, and Pro-Neurotensin) was quantified in serum in a cross-sectional cohort of 222 women with the following three groups matched for age and body mass index: (i) 74 pregnant women with GDM; (ii) 74 pregnant women without GDM; and (iii) 74 non-pregnant and healthy women. A stepwise statistical approach was used by performing pairwise comparisons, principal component analysis (PCA), and partial least square discriminant analysis (PLS-DA). RESULTS Five out of seven adipocytokines were dysregulated between pregnant and non-pregnant women, i.e. adiponectin, chemerin, leptin, Pro-Enkephalin, and progranulin. None of the adipocytokines significantly differed between GDM and non-GDM status during pregnancy. The same five adipocytokines clustered in a principal component representing pregnancy-induced effects. Fasting insulin was the most relevant parameter in the discrimination of GDM as compared to pregnant women without GDM, whereas chemerin and adiponectin were most relevant factors to discriminate pregnancy status. CONCLUSIONS Pregnancy status but not presence of GDM can be distinguished by the seven investigated adipocytokines in discrimination analyses.
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