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Ramos-Lopez O, Martinez-Urbistondo D, Navas-Carretero S, Zhu R, Huttunen-Lenz M, Stratton G, Handjieva-Darlenska T, Handjiev S, Sundvall JE, Silvestre MP, Jalo E, Pietiläinen KH, Adam TC, Westerterp-Plantenga M, Simpson E, MacDonald I, Taylor MA, Poppitt SD, Schlicht W, Brand-Miller J, Fogelholm M, Raben A, Martinez JA. Health and Liver Diagnostic Markers Influencing Glycemia in Subjects with Prediabetes: Preview Study. Diagnostics (Basel) 2024; 14:2895. [PMID: 39767255 PMCID: PMC11675722 DOI: 10.3390/diagnostics14242895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Revised: 11/22/2024] [Accepted: 12/14/2024] [Indexed: 01/06/2025] Open
Abstract
INTRODUCTION Glucose homeostasis may be dependent on liver conditions and influence health-related markers and quality of life (QoL) objective measurements. This study aimed to analyze the interactions of glycemia with liver and health status in a prediabetic population. SUBJECTS AND METHODS This study included 2220 overweight/obese prediabetics from the multinational PREVIEW project. Anthropometrics; clinical, metabolic and other health-related markers; and QoL variables were analyzed. Univariate and multilinear-adjusted regression models were run to explain the interrelationships and effect modification between glycemia, health-related QoL (applying SF-12) and metabolic/liver health (using the HSI, a putative marker of fatty liver). RESULTS Relevant age/sex interactions were found concerning the levels of insulin, HOMA-IR, C peptide and transaminases in this prediabetic population. Multivariate models identified age, sex, glucose, WC and QoL as important predictors of HSI variability (adj. R value = 0.1393, p < 0.001), whereas the QoL status was statistically related to age, sex, HOMA-IR and HSI (adj. R value = 0.1130, p < 0.001) in this glycemia-impaired group. Furthermore, the QoL values declined with increased HSI scores, where a significant interaction was found (p = 0.011) when the data were analyzed when comparing lower glycemia vs. higher glycemia in prediabetics. Indeed, an effect modification was featured depending on the glycemia levels concerning the QoL and HSI worsening. CONCLUSION Glycemia associations with the QoL status and liver metabolism markers were evidenced, with clinical implications for diabetes and liver disease precision management given the modification of the QoL outcomes depending on the liver status and glycemia concentrations. Notably, independent associations of circulating glucose with age, sex, adiposity, inflammation and C peptide levels were found.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Baja California, Mexico;
| | | | - Santiago Navas-Carretero
- Centre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, Spain;
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain
- IdiSNA, Navarra Institute for Health Research, 31009 Pamplona, Spain
| | - Ruixin Zhu
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, Denmark; (R.Z.); (A.R.)
| | - Maija Huttunen-Lenz
- Institute for Nursing Science, University of Education Schwäbisch Gmünd, 73525 Schwäbisch Gmünd, Germany;
| | - Gareth Stratton
- Applied Sports, Technology, Exercise and Medicine (A-STEM) Research Centre, Swansea University, Swansea SA1 8EN, UK;
| | - Teodora Handjieva-Darlenska
- Department of Pharmacology and Toxicology, Medical University of Sofia, 1000 Sofia, Bulgaria; (T.H.-D.); (S.H.)
| | - Svetoslav Handjiev
- Department of Pharmacology and Toxicology, Medical University of Sofia, 1000 Sofia, Bulgaria; (T.H.-D.); (S.H.)
| | | | - Marta P. Silvestre
- Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; (M.P.S.); (S.D.P.)
- CINTESIS, NOVA Medical School (NMS), Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal
| | - Elli Jalo
- Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland; (E.J.); (M.F.)
| | - Kirsi H. Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland;
| | - Tanja C. Adam
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 Maastricht, The Netherlands; (T.C.A.); (M.W.-P.)
| | - Margriet Westerterp-Plantenga
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6200 Maastricht, The Netherlands; (T.C.A.); (M.W.-P.)
| | - Elizabeth Simpson
- MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham DE22 3DT, UK; (E.S.); (I.M.)
| | - Ian MacDonald
- MRC/ARUK Centre for Musculoskeletal Ageing Research, ARUK Centre for Sport, Exercise and Osteoarthritis, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, Nottingham DE22 3DT, UK; (E.S.); (I.M.)
- Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Queen’s Medical Centre, Nottingham NG7 2UH, UK
| | - Moira A. Taylor
- NIHR Nottingham Biomedical Research Centre at Nottingham University Hospitals NHS Trust and University of Nottingham, The David Greenfield Human Physiology Unit, Division of Physiology, Pharmacology and Neuroscience, School of Life Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG1 5DU, UK;
| | - Sally D. Poppitt
- Human Nutrition Unit, Department of Medicine, School of Biological Sciences, University of Auckland, Auckland 1024, New Zealand; (M.P.S.); (S.D.P.)
| | - Wolfgang Schlicht
- Exercise and Health Sciences, University of Stuttgart, 70569 Stuttgart, Germany;
| | - Jennie Brand-Miller
- School of Life and Environmental Sciences and Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia;
| | - Mikael Fogelholm
- Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland; (E.J.); (M.F.)
| | - Anne Raben
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, DK-2200 Copenhagen, Denmark; (R.Z.); (A.R.)
| | - J. Alfredo Martinez
- Centre for Nutrition Research, Department of Nutrition, Food Science, Physiology and Toxicology, University of Navarra, 31009 Pamplona, Spain;
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), 28029 Madrid, Spain
- Precision Nutrition and Cardiometabolic Health, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain
- Medicine and Endocrinology Department, Universidad de Valladolid, 47002 Valladolid, Spain
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Junker D, Wu M, Reik A, Raspe J, Rupp S, Han J, Näbauer SM, Wiechert M, Somasundaram A, Burian E, Waschulzik B, Makowski MR, Hauner H, Holzapfel C, Karampinos DC. Impact of baseline adipose tissue characteristics on change in adipose tissue volume during a low calorie diet in people with obesity-results from the LION study. Int J Obes (Lond) 2024; 48:1332-1341. [PMID: 38926461 PMCID: PMC11347377 DOI: 10.1038/s41366-024-01568-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 06/04/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND/OBJECTIVES Weight loss outcomes vary individually. Magnetic resonance imaging (MRI)-based evaluation of adipose tissue (AT) might help to identify AT characteristics that predict AT loss. This study aimed to assess the impact of an 8-week low-calorie diet (LCD) on different AT depots and to identify predictors of short-term AT loss using MRI in adults with obesity. METHODS Eighty-one adults with obesity (mean BMI 34.08 ± 2.75 kg/m², mean age 46.3 ± 10.97 years, 49 females) prospectively underwent baseline MRI (liver dome to femoral head) and anthropometric measurements (BMI, waist-to-hip-ratio, body fat), followed by a post-LCD-examination. Visceral and subcutaneous AT (VAT and SAT) volumes and AT fat fraction were extracted from the MRI data. Apparent lipid volumes based on MRI were calculated as approximation for the lipid contained in the AT. SAT and VAT volumes were subdivided into equidistant thirds along the craniocaudal axis and normalized by length of the segmentation. T-tests compared baseline and follow-up measurements and sex differences. Effect sizes on subdivided AT volumes were compared. Spearman Rank correlation explored associations between baseline parameters and AT loss. Multiple regression analysis identified baseline predictors for AT loss. RESULTS Following the LCD, participants exhibited significant weight loss (11.61 ± 3.07 kg, p < 0.01) and reductions in all MRI-based AT parameters (p < 0.01). Absolute SAT loss exceeded VAT loss, while relative apparent lipid loss was higher in VAT (both p < 0.01). The lower abdominopelvic third showed the most significant SAT and VAT reduction. The predictor of most AT and apparent lipid losses was the normalized baseline SAT volume in the lower abdominopelvic third, with smaller volumes favoring greater AT loss (p < 0.01 for SAT and VAT loss and SAT apparent lipid volume loss). CONCLUSIONS The LCD primarily reduces lower abdominopelvic SAT and VAT. Furthermore, lower abdominopelvic SAT volume was detected as a potential predictor for short-term AT loss in persons with obesity.
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Affiliation(s)
- Daniela Junker
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
| | - Mingming Wu
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Anna Reik
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Johannes Raspe
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Selina Rupp
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Jessie Han
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Stella M Näbauer
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Meike Wiechert
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Arun Somasundaram
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Egon Burian
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany
| | - Birgit Waschulzik
- Institute of AI and Informatics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Marcus R Makowski
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Hans Hauner
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Else Kroener-Fresenius-Center of Nutritional Medicine, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - Christina Holzapfel
- Institute for Nutritional Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Department of Nutritional, Food and Consumer Sciences, Fulda University of Applied Sciences, Fulda, Germany
| | - Dimitrios C Karampinos
- Institute of Diagnostic and Interventional Radiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
- Munich Institute of Biomedical Engineering, Technical University of Munich, Garching, Germany
- Munich Data Science Institute, Technical University of Munich, Garching, Germany
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S H, T T, Vellapandian C. Gut-Brain Axis: Unveiling the Interplay Between Diabetes Mellitus and Alzheimer's Disease. Cureus 2024; 16:e68083. [PMID: 39347125 PMCID: PMC11438540 DOI: 10.7759/cureus.68083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Accepted: 08/29/2024] [Indexed: 10/01/2024] Open
Abstract
The gut-brain axis (GBA) represents a complex bidirectional communication system linking the gastrointestinal tract with the CNS, influencing various physiological processes, including cognition. Emerging research suggests a significant interplay between diabetes mellitus (DM) and Alzheimer's disease (AD) mediated through this axis. DM, characterized by impaired insulin signaling and chronic inflammation, appears to exacerbate the pathology of AD. Key mechanisms include insulin resistance affecting neuronal function and promoting amyloid-beta accumulation and tau phosphorylation, hallmark features of AD. Additionally, dysbiosis of gut microbiota in DM may contribute to neuroinflammation and oxidative stress, further aggravating AD pathology. The gut microbiota can modulate systemic inflammation and metabolic dysfunction, potentially impacting AD progression in DM individuals. Understanding these interactions is crucial for developing targeted therapeutic strategies that address both DM and AD simultaneously. This abstract highlights the intricate relationship between metabolic disorders like DM and neurodegenerative conditions such as AD, emphasizing the role of the GBA as a pivotal area for future research and therapeutic interventions.
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Affiliation(s)
- Haripriya S
- Department of Pharmacology, Sri Ramaswamy Memorial (SRM) College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, IND
| | - Tamilanban T
- Department of Pharmacology, Sri Ramaswamy Memorial (SRM) College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, IND
| | - Chitra Vellapandian
- Department of Pharmacy/Pharmacology, Sri Ramaswamy Memorial (SRM) College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, IND
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Song Y, Jiang L, Han Y, Zhang S, Li S. Triglyceride-glucose index and glycemic dynamics in pancreatic ductal adenocarcinoma: implications for disease progression and prognosis. J Transl Med 2024; 22:708. [PMID: 39080703 PMCID: PMC11290143 DOI: 10.1186/s12967-024-05524-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 07/20/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND To elucidate the relationship between the triglyceride-glycemic index (TyG) and clinical characteristics of pancreatic ductal adenocarcinoma (PDAC). METHODS A total of 1,594 individuals diagnosed with pancreatic and periampullary neoplasms were categorized into four groups: PDAC-early (n = 403), locally advanced PDAC (LAPC, n = 315), PDAC-late with distant metastasis (n = 371), and other tumor types (n = 505). TyG-high was defined as a TyG index greater than 8.81 in males and 8.73 in females. RESULTS The prevalence of TyG-high status was highest in PDAC-early (68.48%), followed by LAPC (53.33%), and lowest in PDAC-late (44.47%). TyG-high status significantly predicted worse PDAC prognosis (P = 0.0166), particularly in PDAC-late (P = 0.0420). Despite similar blood glucose levels across PDAC groups (P = 0.897), PDAC-early patients showed significantly higher rates of glycemic disturbances (56.33% vs. 32.28%) and TyG-high status (68.48% vs. 47.13%) compared to those with other tumors. Progressive increases in glycemic disturbances and TyG-high status were observed from benign to pre-malignant lesions and PDAC-early. PDAC-early patients at the pancreatic head exhibited higher rates of glycemic disturbances (58.12% vs. 33.33%, P < 0.0001), larger pancreatic duct diameters (0.4056 cm vs. 0.3398 cm, P = 0.0043), and poorer prognosis compared to periampullary cancers, although the TyG-high rate and body mass index were similar. CONCLUSION The TyG index exhibits a complex association with PDAC stages, profoundly shaping glycemic profiles. At the initial stages of PDAC, a notable elevation in TyG-high status and glycemic disturbances is observed. However, in advanced PDAC, while the TyG-high rate diminishes, abnormal glucose levels persist.
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Affiliation(s)
- Yunda Song
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
- Department of Pancreatobiliary Surgery, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Lingmin Jiang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
- Department of Pancreatobiliary Surgery, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Yuanxia Han
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
- Department of Pancreatobiliary Surgery, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China
| | - Subo Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China.
| | - Shengping Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China.
- Department of Pancreatobiliary Surgery, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, People's Republic of China.
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Ramírez Gallegos I, Marina Arroyo M, López-González ÁA, Vicente-Herrero MT, Vallejos D, Sastre-Alzamora T, Ramírez-Manent JI. The Effect of a Program to Improve Adherence to the Mediterranean Diet on Cardiometabolic Parameters in 7034 Spanish Workers. Nutrients 2024; 16:1082. [PMID: 38613115 PMCID: PMC11013770 DOI: 10.3390/nu16071082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 03/29/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Cardiovascular and metabolic diseases include a large group of pathologies and constitute one of the most serious chronic health problems facing the 21st century, with high rates of morbidity and mortality worldwide. Unhealthy diets influence the development of these pathologies. The Mediterranean diet can be an important part in the treatment of these diseases. The objective of this study was to assess the effect of a program that aims to increase adherence to the Mediterranean diet on the improvement of different cardiometabolic risk parameters. METHODS A prospective intervention study was carried out on 7034 Spanish workers. Prior to the intervention, 22 cardiometabolic risk scales were evaluated. Participants in this study were informed both orally and in writing of the characteristics and benefits of the Mediterranean diet and were given the website of the Ministry of Health, Consumption and Social Welfare of Spain, which provides advice on nutrition. Adherence to the Mediterranean diet was reinforced by sending a monthly SMS to their mobile phones. After six months of follow-up, the 22 risk scales were re-evaluated to assess changes. Means and standard deviations were calculated using Student's t test to analyse quantitative variables. Prevalence was calculated using the Chi-square test when the variables were qualitative. RESULTS All the cardiometabolic risk scales studied decreased after implementing a program to improve and enhance adherence to the Mediterranean diet. The number of losses in the sample was very low, standing at 4.31%. CONCLUSIONS The Mediterranean diet is effective in reducing all cardiovascular risk scales evaluated. The mean values and prevalence of high values of the different cardiometabolic risk scales analysed led to lower values after the implementation of the program to increase adherence to the Mediterranean diet. We observed a significant positive difference in metabolic age in both sexes. We have obtained a significant improvement in the insulin resistance index, especially in the SPISE-IR index, data that we have not found in previous publications. Easy access to the Internet and new information and communication technologies facilitate adherence to a diet and can reduce the number of losses.
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Affiliation(s)
- Ignacio Ramírez Gallegos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Marta Marina Arroyo
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Ángel Arturo López-González
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Faculty of Dentistry, University School ADEMA, 07010 Palma, Balearic Islands, Spain
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
| | - Maria Teófila Vicente-Herrero
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Daniela Vallejos
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - Tomás Sastre-Alzamora
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
| | - José Ignacio Ramírez-Manent
- Investigation Group ADEMA SALUD, University Institute for Research in Health Sciences (IUNICS), 07010 Palma, Balearic Islands, Spain; (I.R.G.); (M.M.A.); (M.T.V.-H.); (D.V.); (T.S.-A.); (J.I.R.-M.)
- Institut d’Investigació Sanitària de les Illes Balears (IDISBA), Balearic Islands Health Research Institute Foundation, 07010 Palma, Balearic Islands, Spain
- Balearic Islands Health Service, 07010 Palma, Balearic Islands, Spain
- Faculty of Medicine, University of the Balearic Islands, 07010 Palma, Balearic Islands, Spain
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Shen T, Zhong L, Ji G, Chen B, Liao M, Li L, Huang H, Li J, Wei Y, Wu S, Chen Z, Ma W, Dong M, Wu B, Liu T, Chen Q. Associations between metal(loid) exposure with overweight and obesity and abdominal obesity in the general population: A cross-sectional study in China. CHEMOSPHERE 2024; 350:140963. [PMID: 38114022 DOI: 10.1016/j.chemosphere.2023.140963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 11/26/2023] [Accepted: 12/12/2023] [Indexed: 12/21/2023]
Abstract
Previous studies have revealed links between metal(loid)s and health problems; however, the link between metal(loid)s and obesity remains controversial. We evaluated the cross-sectional association between metal(loid) exposure in whole blood and obesity among the general population. Vanadium (V), chromium (Cr), manganese (Mn), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), selenium (Se), molybdenum (Mo), cadmium (Cd), antimony (Sb), thallium (T1), and lead (Pb) were measured in 3029 subjects in Guangdong Province (China) using ICP-MS. The prevalence of overweight and obesity (OWO) and abdominal obesity (AOB) was calculated according to body mass index (BMI) and waist circumference (WC), respectively. Multivariate analysis showed that elevated blood Cu, Cd, and Pb levels were inversely associated with the risk of OWO, and these associations were confirmed by a linear dose-response relationship. Elevated blood Co concentration was associated with a decreased risk of AOB. A quantile g-computation approach showed a significantly negative mixture-effect of 13 metal(loid)s on OWO (OR: 0.96; 95% CI: 0.92, 0.99). Two metals-Ni and Mo-were inversely associated with the risk of OWO but positively associated with AOB. We cross-grouped the two obesity measurement types and found that the extremes of metal content were present in people with AOB only. In conclusion, blood Cu, Mo, Ni, Cd, and Pb were inversely associated with the risk of OWO. The presence of blood Co may be protective, while Ni and Mo exposure might increase the risk of AOB. The association between metal(loid) exposure and obesity warrants further investigation in longitudinal cohort studies.
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Affiliation(s)
- Tianran Shen
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Liling Zhong
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Guiyuan Ji
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511530, China
| | - Baolan Chen
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Mengfan Liao
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Lvrong Li
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Huiming Huang
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Jiajie Li
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Yuan Wei
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Shan Wu
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China
| | - Zihui Chen
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511530, China
| | - Wenjun Ma
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Ming Dong
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, 510399, China
| | - Banghua Wu
- Guangdong Province Hospital for Occupational Disease Prevention and Treatment, Guangzhou, 510399, China.
| | - Tao Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China; China Greater Bay Area Research Center of Environmental Health, School of Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qingsong Chen
- Guangdong Pharmaceutical University, Guangzhou, 510310, China; Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510310, China; NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, Guangdong Pharmaceutical University, Guangzhou, 511400, China.
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Castillo-García EL, Cossio-Ramírez AL, Córdoba-Méndez ÓA, Loza-Mejía MA, Salazar JR, Chávez-Gutiérrez E, Bautista-Poblet G, Castillo-Mendieta NT, Moreno DA, García-Viguera C, Pinto-Almazán R, Almanza-Pérez JC, Gallardo JM, Guerra-Araiza C. In Silico and In Vivo Evaluation of the Maqui Berry ( Aristotelia chilensis (Mol.) Stuntz) on Biochemical Parameters and Oxidative Stress Markers in a Metabolic Syndrome Model. Metabolites 2023; 13:1189. [PMID: 38132871 PMCID: PMC10744843 DOI: 10.3390/metabo13121189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 11/25/2023] [Accepted: 12/01/2023] [Indexed: 12/23/2023] Open
Abstract
Metabolic syndrome (MetS) is a complex disease that includes metabolic and physiological alterations in various organs such as the heart, pancreas, liver, and brain. Reports indicate that blackberry consumption, such as maqui berry, has a beneficial effect on chronic diseases such as cardiovascular disease, obesity, and diabetes. In the present study, in vivo and in silico studies have been performed to evaluate the molecular mechanisms implied to improve the metabolic parameters of MetS. Fourteen-day administration of maqui berry reduces weight gain, blood fasting glucose, total blood cholesterol, triacylglycerides, insulin resistance, and blood pressure impairment in the diet-induced MetS model in male and female rats. In addition, in the serum of male and female rats, the administration of maqui berry (MB) improved the concentration of MDA, the activity of SOD, and the formation of carbonyls in the group subjected to the diet-induced MetS model. In silico studies revealed that delphinidin and its glycosylated derivatives could be ligands of some metabolic targets such as α-glucosidase, PPAR-α, and PPAR-γ, which are related to MetS parameters. The experimental results obtained in the study suggest that even at low systemic concentrations, anthocyanin glycosides and aglycones could simultaneously act on different targets related to MetS. Therefore, these molecules could be used as coadjuvants in pharmacological interventions or as templates for designing new multitarget molecules to manage patients with MetS.
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Affiliation(s)
- Emily Leonela Castillo-García
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Dr. Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico; (E.L.C.-G.); (G.B.-P.)
- Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Mexico City 52919, Mexico
| | - Ana Lizzet Cossio-Ramírez
- Maestría en Ciencias de la Salud, Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico;
| | - Óscar Arturo Córdoba-Méndez
- Design, Isolation, and Synthesis of Bioactive Molecules Research Group, Chemical Sciences School, Universidad La Salle-México, Benjamín Franklin 45, Mexico City 06140, Mexico; (Ó.A.C.-M.); (M.A.L.-M.); (J.R.S.)
| | - Marco A. Loza-Mejía
- Design, Isolation, and Synthesis of Bioactive Molecules Research Group, Chemical Sciences School, Universidad La Salle-México, Benjamín Franklin 45, Mexico City 06140, Mexico; (Ó.A.C.-M.); (M.A.L.-M.); (J.R.S.)
| | - Juan Rodrigo Salazar
- Design, Isolation, and Synthesis of Bioactive Molecules Research Group, Chemical Sciences School, Universidad La Salle-México, Benjamín Franklin 45, Mexico City 06140, Mexico; (Ó.A.C.-M.); (M.A.L.-M.); (J.R.S.)
| | - Edwin Chávez-Gutiérrez
- Doctorado en Ciencias en Biomedicina y Biotecnología Molecular, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prolongación Manuel Carpio y Plan de Ayala s/n, Mexico City 11340, Mexico;
| | - Guadalupe Bautista-Poblet
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Dr. Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico; (E.L.C.-G.); (G.B.-P.)
- Doctorado en Ciencias Biológicas y de la Salud, Universidad Autónoma Metropolitana, Mexico City 52919, Mexico
| | - Nadia Tzayaka Castillo-Mendieta
- Postdoctorate-Conacyt-Unidad de Investigación Médica en Enfermedades Neurologicas, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Av. Cuauhtémoc 330 Col. Doctores, Mexico City 06725, Mexico;
| | - Diego A. Moreno
- Laboratorio de Fitoquímica y Alimentos Saludables (LabFAS), CEBAS, CSIC. Campus Universitario de Espinardo-25, E-30100 Murcia, Spain; (D.A.M.); (C.G.-V.)
| | - Cristina García-Viguera
- Laboratorio de Fitoquímica y Alimentos Saludables (LabFAS), CEBAS, CSIC. Campus Universitario de Espinardo-25, E-30100 Murcia, Spain; (D.A.M.); (C.G.-V.)
| | - Rodolfo Pinto-Almazán
- Sección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Plan de San Luis y Díaz Mirón, Mexico City 11340, Mexico
| | - Julio César Almanza-Pérez
- Laboratorio de Farmacologia, Departamento de Ciencias de la Salud, DCBS, UAM-I, Mexico City 09310, Mexico;
| | - Juan Manuel Gallardo
- Unidad de Investigación Médica en Enfermedades Nefrológicas, Hospital de Especialidades, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico;
| | - Christian Guerra-Araiza
- Unidad de Investigación Médica en Farmacología, Hospital de Especialidades Dr. Bernardo Sepúlveda, Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico; (E.L.C.-G.); (G.B.-P.)
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Hao Q, Yuanyuan Z, Lijuan C. The Prognostic Value of the Triglyceride Glucose Index in Patients With Acute Myocardial Infarction. J Cardiovasc Pharmacol Ther 2023; 28:10742484231181846. [PMID: 37335126 DOI: 10.1177/10742484231181846] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Objective: The triglyceride-glucose (TyG) index is a simple and reliable surrogate for insulin resistance. Recent studies have suggested that the TyG index is an independent predictor of cardiovascular disease. However, the prognostic value of the TyG index in patients with acute myocardial infarction (AMI) remains uncertain. Thus, this study aimed to evaluate the prognostic value of the TyG index in patients with AMI. Methods: AMI patients admitted to Zhongda Hospital from 2018 to 2020 were successively enrolled. After screening the inclusion criteria, 1144 patients were divided into three groups according to the tertiles of the TyG index distribution. Patients were followed up for 1 year as outpatients or contacted via telephone, and the occurrence and timing of all-cause deaths were recorded. Results: The TyG index was significantly correlated with heart failure (HF) in AMI patients. Patients with a high TyG index (group 3) (odds ratio: 9.070, 95% confidence interval [CI] 4.359-18.875, P<.001) had a significantly higher incidence of HF compared with patients with median TyG index (group 2). Similarly, the incidence of all-cause death in group 3 was significantly higher than that in group 2 during the 1-year follow-up (hazard ratio: 2.996, 95% CI 1.058-8.487, P = .039). Conclusion: The TyG index is closely related to HF and may be a valuable indicator to predict the long-term prognosis of patients with AMI.
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Affiliation(s)
- Qian Hao
- Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing, China
| | - Zhao Yuanyuan
- Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing, China
| | - Chen Lijuan
- Department of Cardiology, Zhongda Hospital, Southeast University, Nanjing, China
- Department of Cardiology, Zhongda Hospital Lishui Branch, Southeast University, Nanjing, China
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Vidal-Ostos F, Ramos-Lopez O, Jebb SA, Papadaki A, Pfeiffer AFH, Handjieva-Darlenska T, Kunešová M, Blaak EE, Astrup A, Martinez JA. Dietary protein and the glycemic index handle insulin resistance within a nutritional program for avoiding weight regain after energy-restricted induced weight loss. Nutr Metab (Lond) 2022; 19:71. [PMID: 36261843 PMCID: PMC9583584 DOI: 10.1186/s12986-022-00707-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 10/14/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND AND AIM The role of dietary protein and glycemic index on insulin resistance (based on TyG index) within a nutritional program for weight loss and weight maintenance was examined. METHODS This study analyzed 744 adults with overweight/obesity within the DIOGenes project. Patients who lost at least 8% of their initial weight (0-8 weeks) after a low-calorie diet (LCD) were randomly assigned to one of five ad libitum diets designed for weight maintenance (8-34 weeks): high/low protein (HP/LP) and high/low glycemic index (HGI/LGI), plus a control. The complete nutritional program (0-34 weeks) included both LCD plus the randomized diets intervention. The TyG index was tested as marker of body mass composition and insulin resistance. RESULTS In comparison with the LP/HGI diet, the HP/LGI diet induced a greater BMI loss (p < 0.05). ∆TyG was positively associated with resistance to BMI loss (β = 0.343, p = 0.042) during the weight maintenance stage. In patients who followed the HP/LGI diet, TyG (after LCD) correlated with greater BMI loss in the 8-34 weeks period (r = -0.256; p < 0.05) and during the 0-34 weeks intervention (r = -0.222, p < 0.05) periods. ΔTyG1 value was associated with ΔBMI2 (β = 0.932; p = 0.045) concerning the HP/LGI diet. CONCLUSIONS A HP/LGI diet is beneficial not only for weight maintenance after a LCD, but is also related to IR amelioration as assessed by TyG index changes. Registration Clinical Trials NCT00390637.
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Affiliation(s)
| | - Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Universidad 14418, UABC, Parque Internacional Industrial Tijuana, 22390, Tijuana, B.C., Mexico.
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Angeliki Papadaki
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Andreas F H Pfeiffer
- Department of Endocrinology, Diabetes and Nutrition, Charité Universitätsmedizin Berlin, German Center of Diabetes Research, DZD, Berlin, Germany
| | | | - Marie Kunešová
- Obesity Management Centre, Institute of Endocrinology, Prague, Czech Republic
| | - Ellen E Blaak
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Arne Astrup
- Obesity and Nutrition Science, Novo Nordisk Fonden, Tuborg Havnevej 15, 2900, Hellerup, Denmark
| | - J Alfredo Martinez
- Navarra's Health Research Institute (IdiSNA), Pamplona, Spain
- CIBERobn Physiopathology of Obesity and Nutrition, Carlos III Health Institute, Madrid, Spain
- Precision Nutrition Program, IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain
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