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Almeida ZL, Vaz DC, Brito RMM. Transthyretin mutagenesis: impact on amyloidogenesis and disease. Crit Rev Clin Lab Sci 2024:1-25. [PMID: 38850014 DOI: 10.1080/10408363.2024.2350379] [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: 03/12/2024] [Accepted: 04/29/2024] [Indexed: 06/09/2024]
Abstract
Transthyretin (TTR), a homotetrameric protein found in plasma, cerebrospinal fluid, and the eye, plays a pivotal role in the onset of several amyloid diseases with high morbidity and mortality. Protein aggregation and fibril formation by wild-type TTR and its natural more amyloidogenic variants are hallmarks of ATTRwt and ATTRv amyloidosis, respectively. The formation of soluble amyloid aggregates and the accumulation of insoluble amyloid fibrils and deposits in multiple tissues can lead to organ dysfunction and cell death. The most frequent manifestations of ATTR are polyneuropathies and cardiomyopathies. However, clinical manifestations such as carpal tunnel syndrome, leptomeningeal, and ocular amyloidosis, among several others may also occur. This review provides an up-to-date listing of all single amino-acid mutations in TTR known to date. Of approximately 220 single-point mutations, 93% are considered pathogenic. Aspartic acid is the residue mutated with the highest frequency, whereas tryptophan is highly conserved. "Hot spot" mutation regions are mainly assigned to β-strands B, C, and D. This manuscript also reviews the protein aggregation models that have been proposed for TTR amyloid fibril formation and the transient conformational states that convert native TTR into aggregation-prone molecular species. Finally, it compiles the various in vitro TTR aggregation protocols currently in use for research and drug development purposes. In short, this article reviews and discusses TTR mutagenesis and amyloidogenesis, and their implications in disease onset.
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Affiliation(s)
- Zaida L Almeida
- Chemistry Department and Coimbra Chemistry Centre - Institute of Molecular Sciences (CQC-IMS), University of Coimbra, Coimbra, Portugal
| | - Daniela C Vaz
- Chemistry Department and Coimbra Chemistry Centre - Institute of Molecular Sciences (CQC-IMS), University of Coimbra, Coimbra, Portugal
- School of Health Sciences, Polytechnic Institute of Leiria, Leiria, Portugal
- LSRE-LCM - Leiria, Portugal & ALiCE - Associate Laboratory in Chemical Engineering, University of Porto, Porto, Portugal
| | - Rui M M Brito
- Chemistry Department and Coimbra Chemistry Centre - Institute of Molecular Sciences (CQC-IMS), University of Coimbra, Coimbra, Portugal
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Leca BM, Kite C, Lagojda L, Davasgaium A, Dallaway A, Chatha KK, Randeva HS, Kyrou I. Retinol-binding protein 4 (RBP4) circulating levels and gestational diabetes mellitus: a systematic review and meta-analysis. Front Public Health 2024; 12:1348970. [PMID: 38532976 PMCID: PMC10964926 DOI: 10.3389/fpubh.2024.1348970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 02/15/2024] [Indexed: 03/28/2024] Open
Abstract
Background Gestational diabetes mellitus (GDM) is a prevalent condition where diabetes is diagnosed during pregnancy, affecting both maternal and fetal outcomes. Retinol-binding protein 4 (RBP4) is a circulating adipokine which belongs to the lipocalin family and acts as a specific carrier protein that delivers retinol (vitamin A) from the liver to the peripheral tissues. Growing data indicate that circulating RBP4 levels may positively correlate with GDM. Thus, this systematic review and meta-analysis aimed to investigate the potential relationship between circulating RBP4 levels and GDM when measured at various stages of pregnancy. Methods MEDLINE, CINAHL, EMCARE, EMBASE, Scopus, and Web of Science databases were searched to identify studies comparing pregnant women with and without GDM, whose circulating RBP4 levels were measured in at least one pregnancy trimester. Findings were reported using standardized mean difference (SMD) and random-effects models were used to account for variability among studies. Furthermore, the risk of bias was assessed using the RoBANS tool. Results Out of the 34 studies identified, 32 were included in the meta-analysis (seven with circulating RBP4 levels measured in the first trimester, 19 at 24-28 weeks, and 14 at >28 weeks of pregnancy). RBP4 levels were statistically higher in the GDM group than in controls when measured during all these pregnancy stages, with the noted RBP4 SMD being 0.322 in the first trimester (95% CI: 0.126-0.517; p < 0.001; 946 GDM cases vs. 1701 non-GDM controls); 0.628 at 24-28 weeks of gestation (95% CI: 0.290-0.966; p < 0.001; 1776 GDM cases vs. 1942 controls); and 0.875 at >28 weeks of gestation (95% CI: 0.252-1.498; p = 0.006; 870 GDM cases vs. 1942 non-GDM controls). Significant study heterogeneity was noted for all three pregnancy timepoints. Conclusion The present findings indicate consistently higher circulating RBP4 levels in GDM cases compared to non-GDM controls, suggesting the potential relevance of RBP4 as a biomarker for GDM. However, the documented substantial study heterogeneity, alongside imprecision in effect estimates, underscores the need for further research and standardization of measurement methods to elucidate whether RBP4 can be utilized in clinical practice as a potential GDM biomarker. Systematic review registration PROSPERO (CRD42022340097: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022340097).
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Affiliation(s)
- Bianca M. Leca
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
| | - Chris Kite
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- School of Health and Society, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom
- Chester Medical School, University of Chester, Shrewsbury, United Kingdom
| | - Lukasz Lagojda
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Clinical Evidence-Based Information Service (CEBIS), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Allan Davasgaium
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Alex Dallaway
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- School of Health and Society, Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, United Kingdom
| | - Kamaljit Kaur Chatha
- Department of Biochemistry and Immunology, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Harpal S. Randeva
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
| | - Ioannis Kyrou
- Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Warwick Medical School, University of Warwick, Coventry, United Kingdom
- Centre for Sport, Exercise and Life Sciences, Research Institute for Health and Wellbeing, Coventry University, Coventry, United Kingdom
- Institute for Cardiometabolic Medicine, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom
- Aston Medical School, College of Health and Life Sciences, Aston University, Birmingham, United Kingdom
- College of Health, Psychology and Social Care, University of Derby, Derby, United Kingdom
- Laboratory of Dietetics and Quality of Life, Department of Food Science and Human Nutrition, School of Food and Nutritional Sciences, Agricultural University of Athens, Athens, Greece
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Zhang Y, Geng R, Liu M, Deng S, Ding J, Zhong H, Tu Q. Shared peripheral blood biomarkers for Alzheimer’s disease, major depressive disorder, and type 2 diabetes and cognitive risk factor analysis. Heliyon 2023; 9:e14653. [PMID: 36994393 PMCID: PMC10040717 DOI: 10.1016/j.heliyon.2023.e14653] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 02/28/2023] [Accepted: 03/14/2023] [Indexed: 03/19/2023] Open
Abstract
Background Alzheimer's disease (AD), type 2 diabetes mellitus (T2DM), and Major Depressive Disorder (MDD) have a higher incidence rate in modern society. Although increasing evidence supports close associations between the three, the mechanisms underlying their interrelationships remain elucidated. Objective The primary purpose is to explore the shared pathogenesis and the potential peripheral blood biomarkers for AD, MDD, and T2DM. Methods We downloaded the microarray data of AD, MDD, and T2DM from the Gene Expression Omnibus database and constructed co-expression networks by Weighted Gene Co-Expression Network Analysis to identify differentially expressed genes. We took the intersection of differentially expressed genes to obtain co-DEGs. Then, we performed GO and KEGG enrichment analysis on the common genes in the AD, MDD, and T2DM-related modules. Next, we utilized the STRING database to find the hub genes in the protein-protein interaction network. ROC curves were constructed for co-DEGs to obtain the most diagnostic valuable genes and to make drug predictions against the target genes. Finally, we conducted a present condition survey to verify the correlation between T2DM, MDD and AD. Results Our findings indicated 127 diff co-DEGs, 19 upregulated co-DEGs, and 25 down-regulated co-DEGs. Functional enrichment analysis showed co-DEGs were mainly enriched in signaling pathways such as metabolic diseases and some neurodegeneration. Protein-protein interaction network construction identified hub genes in AD, MDD and T2DM shared genes. We identified seven hub genes of co-DEGs, namely, SMC4, CDC27, HNF1A, RHOD, CUX1, PDLIM5, and TTR. The current survey results suggest a correlation between T2DM, MDD and dementia. Moreover, logistic regression analysis showed that T2DM and depression increased the risk of dementia. Conclusion Our work identified common pathogenesis of AD, T2DM, and MDD. These shared pathways might provide novel ideas for further mechanistic studies and hub genes that may serve as novel therapeutic targets for diagnosing and treating.
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Liu Y, Chi R, Jiang Y, Chen B, Chen Y, Chen Z. Triglyceride glycemic index as a biomarker for gestational diabetes mellitus: a systemic review and meta-analysis. Endocr Connect 2021; 10:1420-1427. [PMID: 34636743 PMCID: PMC8630762 DOI: 10.1530/ec-21-0234] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 10/11/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Triglyceride glycemic (TyG) index is a novel tool for assessing insulin resistance (IR). Recently, TyG index as a potential biomarker for gestational diabetes mellitus (GDM) has been studied, but its performance is yet inconclusive. Thus, we performed this systemic review and meta-analysis to evaluate the performance of TyG index in predicting GDM. METHODS Studies published before March 1, 2021, with comparison of TyG index between GDM patients and healthy controls were retrieved from multiple databases (PubMed, Web of Science, The Cochrane Library, and Embase). The mean difference (MD) of TyG index in GDM patients and healthy controls was pooled using random-effect models. RESULTS Differentiation of TyG index between patients with GDM and controls showed significant results. Overall, there is a four-fold increase in TyG index in GDM patients compared with controls (MD: 0.22, 95% CI: 0.07-0.36, P = 0.003; I2 = 71%, P = 0.009). In subgroup analyses according to gestational time, TyG index in the second trimester predicted GDM with low heterogeneity (MD: 0.26, 95% CI: 0.15-0.37, P < 0.001; I2 = 0%, P = 0.54), while no such correlation was found in the first trimester. CONCLUSION TyG index, especially in the second trimester, could be a promising biomarker for predicting GDM.
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Affiliation(s)
- Yusen Liu
- Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China
| | - Ruiwen Chi
- Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China
| | - Yujie Jiang
- School of Ophthalmology & Optometry, Wenzhou Medical University, Wenzhou, China
| | - Bicheng Chen
- Department of Cooperation and Communication, The First Clinical Medical College & The First Affiliated Hospital of Wenzhou Medical University, Wenzhou Medical University, Wenzhou, China
| | - Youli Chen
- Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Correspondence should be addressed to Z Chen or Y Chen: or
| | - Zengrui Chen
- Intensive Care Unit, The People’s Hospital of Yuhuan, Yuhuan, China
- Correspondence should be addressed to Z Chen or Y Chen: or
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Exploring the Physiological Role of Transthyretin in Glucose Metabolism in the Liver. Int J Mol Sci 2021; 22:ijms22116073. [PMID: 34199897 PMCID: PMC8200108 DOI: 10.3390/ijms22116073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 05/26/2021] [Accepted: 06/01/2021] [Indexed: 12/22/2022] Open
Abstract
Transthyretin (TTR), a 55 kDa evolutionarily conserved protein, presents altered levels in several conditions, including malnutrition, inflammation, diabetes, and Alzheimer’s Disease. It has been shown that TTR is involved in several functions, such as insulin release from pancreatic β-cells, recovery of blood glucose and glucagon levels of the islets of Langerhans, food intake, and body weight. Here, the role of TTR in hepatic glucose metabolism was explored by studying the levels of glucose in mice with different TTR genetic backgrounds, namely with two copies of the TTR gene, TTR+/+; with only one copy, TTR+/−; and without TTR, TTR−/−. Results showed that TTR haploinsufficiency (TTR+/−) leads to higher glucose in both plasma and in primary hepatocyte culture media and lower expression of the influx glucose transporters, GLUT1, GLUT3, and GLUT4. Further, we showed that TTR haploinsufficiency decreases pyruvate kinase M type (PKM) levels in mice livers, by qRT-PCR, but it does not affect the hepatic production of the studied metabolites, as determined by 1H NMR. Finally, we demonstrated that TTR increases mitochondrial density in HepG2 cells and that TTR insufficiency triggers a higher degree of oxidative phosphorylation in the liver. Altogether, these results indicate that TTR contributes to the homeostasis of glucose by regulating the levels of glucose transporters and PKM enzyme and by protecting against mitochondrial oxidative stress.
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Bogdanet D, Reddin C, Murphy D, Doheny HC, Halperin JA, Dunne F, O’Shea PM. Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes-A Scoping Review. J Clin Med 2021; 10:jcm10071533. [PMID: 33917484 PMCID: PMC8038821 DOI: 10.3390/jcm10071533] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 02/06/2023] Open
Abstract
Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore, it is crucial we efficiently identify all cases and initiate early treatment, reducing fetal exposure to hyperglycemia and reducing GDM-related adverse pregnancy outcomes. For this reason, GDM screening is recommended as part of routine pregnancy care. The current screening method, the oral glucose tolerance test (OGTT), is a lengthy, cumbersome and inconvenient test with poor reproducibility. Newer biomarkers that do not necessitate a fasting sample are needed for the prompt diagnosis of GDM. The aim of this scoping review is to highlight and describe emerging protein biomarkers that fulfill these requirements for the diagnosis of GDM. Materials and Methods: This scoping review was conducted according to preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for scoping reviews using Cochrane Central Register of Controlled Trials (CENTRAL), the Cumulative Index to Nursing & Allied Health Literature (CINAHL), PubMed, Embase and Web of Science with a double screening and extraction process. The search included all articles published in the literature to July 2020. Results: Of the 3519 original database citations identified, 385 were eligible for full-text review. Of these, 332 (86.2%) were included in the scoping review providing a total of 589 biomarkers studied in relation to GDM diagnosis. Given the high number of biomarkers identified, three post hoc criteria were introduced to reduce the items set for discussion: we chose only protein biomarkers with at least five citations in the articles identified by our search and published in the years 2017-2020. When applied, these criteria identified a total of 15 biomarkers, which went forward for review and discussion. Conclusions: This review details protein biomarkers that have been studied to find a suitable test for GDM diagnosis with the potential to replace the OGTT used in current GDM screening protocols. Ongoing research efforts will continue to identify more accurate and practical biomarkers to take GDM screening and diagnosis into the 21st century.
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Affiliation(s)
- Delia Bogdanet
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
- Correspondence: ; Tel.: +35-38-3102-7771
| | - Catriona Reddin
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Dearbhla Murphy
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Helen C. Doheny
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Jose A. Halperin
- Divisions of Haematology, Brigham & Women’s Hospital, Boston, MA 02115, USA;
| | - Fidelma Dunne
- College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33 Galway, Ireland;
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
| | - Paula M. O’Shea
- Centre for Diabetes Endocrinology and Metabolism, Galway University Hospital, Newcastle Road, H91YR71 Galway, Ireland; (C.R.); (D.M.); (H.C.D.); (P.M.O.)
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