1
|
Ilich JZ, Pokimica B, Ristić-Medić D, Petrović S, Arsić A, Vasiljević N, Vučić V, Kelly OJ. Osteosarcopenic adiposity (OSA) phenotype and its connection with cardiometabolic disorders: Is there a cause-and-effect? Ageing Res Rev 2024; 98:102326. [PMID: 38734146 DOI: 10.1016/j.arr.2024.102326] [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: 01/11/2024] [Revised: 04/23/2024] [Accepted: 05/05/2024] [Indexed: 05/13/2024]
Abstract
The objectives were to examine if there is a causal relationship between osteosarcopenic adiposity (OSA) syndrome (coexistence of osteopenia/osteoporosis, sarcopenia, and excess adiposity) and cardiometabolic disorders or if these disorders initiate the development of OSA and its worsening. The search was conducted in PubMed, Scopus, and Web of Science to include articles up to the end of 2023. Of n=539 articles retrieved, n=15 met the eligibility criteria. Only studies conducted in adults and with all three body composition compartments (bone, muscle/lean, adipose) measured were considered. The results revealed that several cardiometabolic disorders, namely, hypertension, dyslipidemia (elevated total and LDL-cholesterol, lower HDL-cholesterol), insulin resistance, hyperglycemia, lower serum vitamin D, and some inflammatory markers were accompanied by OSA. In most cases, the OSA phenotype was associated with worse outcomes than cases with healthy or less impaired body composition. Our initial questions about the reciprocal cause-and-effect relationships could be surmised with more certainty for the OSA and some cardiovascular risks (hypertension, dyslipidemia) and some metabolic abnormalities (several inflammatory markers). The results of this review underscore the importance of body composition in health and from a clinical perspective, all three body composition compartments should be measured by standardized technologies using regulated diagnostic criteria to identify OSA. Randomized trials and prospective studies in diverse groups of older and younger individuals are necessary to determine if the relationships between OSA and clinical endpoints are causal and reversible through intervention and to uncover the mechanisms.
Collapse
Affiliation(s)
- Jasminka Z Ilich
- Institute for Successful Longevity, Florida State University, Tallahassee, Florida 32306, United States.
| | - Biljana Pokimica
- Group for Nutritional Biochemistry and Dietology, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia; Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Danijela Ristić-Medić
- Group for Nutritional Biochemistry and Dietology, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia; Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Snjezana Petrović
- Group for Nutritional Biochemistry and Dietology, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia; Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Aleksandra Arsić
- Group for Nutritional Biochemistry and Dietology, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia; Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Nadja Vasiljević
- Institute of Hygiene and Medical Ecology, Medical Faculty University of Belgrade, Belgrade 11000, Serbia
| | - Vesna Vučić
- Group for Nutritional Biochemistry and Dietology, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia; Centre of Research Excellence in Nutrition and Metabolism, Institute for Medical Research, National Institute of Republic of Serbia, University of Belgrade, Belgrade 11000, Serbia
| | - Owen J Kelly
- Department of Molecular and Cellular Biology, College of Osteopathic Medicine, Sam Houston State University, 925 City Central Avenue, Conroe, Texas 77304, USA
| |
Collapse
|
2
|
Vicedomini ACC, Waitzberg DL, Lopes NC, Magalhães N, Prudêncio APA, Jacob Filho W, Busse AL, Ferdinando D, Alves TP, Pereira RMR, Belarmino G. Prognostic Value of New Sarcopenia Screening Tool in the Elderly-SARC-GLOBAL. Nutrients 2024; 16:1717. [PMID: 38892650 PMCID: PMC11175117 DOI: 10.3390/nu16111717] [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: 04/08/2024] [Revised: 05/19/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024] Open
Abstract
Sarcopenia screening tools have a low capacity to predict adverse outcomes that are consequences of sarcopenia in the elderly population. This study aimed to evaluate the ability of a new sarcopenia screening tool SARC-GLOBAL to predict negative clinical outcomes in the elderly. A total of 395 individuals were evaluated in a 42-month period. The screening tools SARC-GLOBAL, SARC-F, and SARC-CalF and the diagnosis of sarcopenia according to European Working Group on Sarcopenia in Older Persons (EWGSOP2) were performed at the beginning of the study. Logistic and Poisson regression models were applied to assess the predictive value of the tools for the odds and risks of negative clinical outcomes, respectively. The most common negative clinical outcome in the followed population was falls (12.9%), followed by infections (12.4%), hospitalizations (11.8%), fractures (4.3%), and deaths (2.7%). Both SARC-GLOBAL and SARC-F were similar in predicting the odds of falls and hospitalizations during the follow up period, however SARC-CalF only predicted the odds of hospitalizations at 42 months.
Collapse
Affiliation(s)
- Ana Carolina Costa Vicedomini
- Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (D.L.W.); (N.C.L.); (N.M.); (A.P.A.P.); (G.B.)
| | - Dan L. Waitzberg
- Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (D.L.W.); (N.C.L.); (N.M.); (A.P.A.P.); (G.B.)
| | - Natalia Correia Lopes
- Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (D.L.W.); (N.C.L.); (N.M.); (A.P.A.P.); (G.B.)
| | - Natalia Magalhães
- Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (D.L.W.); (N.C.L.); (N.M.); (A.P.A.P.); (G.B.)
| | - Ana Paula A. Prudêncio
- Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (D.L.W.); (N.C.L.); (N.M.); (A.P.A.P.); (G.B.)
| | - Wilson Jacob Filho
- Medical Research Laboratory in Aging (LIM-66), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (W.J.F.); (A.L.B.); (D.F.); (T.P.A.)
| | - Alexandre Leopold Busse
- Medical Research Laboratory in Aging (LIM-66), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (W.J.F.); (A.L.B.); (D.F.); (T.P.A.)
| | - Douglas Ferdinando
- Medical Research Laboratory in Aging (LIM-66), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (W.J.F.); (A.L.B.); (D.F.); (T.P.A.)
| | - Tatiana Pereira Alves
- Medical Research Laboratory in Aging (LIM-66), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (W.J.F.); (A.L.B.); (D.F.); (T.P.A.)
| | - Rosa Maria Rodrigues Pereira
- Department of Research Laboratory in Rheumatology (LIM-17), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil;
| | - Giliane Belarmino
- Department of Gastroenterology (LIM-35), School of Medicine, University of São Paulo, São Paulo 05508-220, Brazil; (D.L.W.); (N.C.L.); (N.M.); (A.P.A.P.); (G.B.)
| |
Collapse
|
3
|
Prado CM, Batsis JA, Donini LM, Gonzalez MC, Siervo M. Sarcopenic obesity in older adults: a clinical overview. Nat Rev Endocrinol 2024; 20:261-277. [PMID: 38321142 DOI: 10.1038/s41574-023-00943-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/15/2023] [Indexed: 02/08/2024]
Abstract
Sarcopenic obesity is characterized by a concurrent decline in muscle mass and function, along with increased adipose tissue. Sarcopenic obesity is a growing concern in older adults owing to significant health consequences, including implications for mortality, comorbidities and risk of developing geriatric syndromes. A 2022 consensus statement established a new definition and diagnostic criteria for sarcopenic obesity. The pathophysiology of this condition involves a complex interplay between muscle, adipose tissue, hormonal changes, inflammation, oxidative stress and lifestyle factors, among others. Sarcopenic obesity is treated with a range of management approaches, such as lifestyle interventions, exercise, nutrition and medical therapies. Emerging therapies that were developed for treating other conditions may be relevant to sarcopenic obesity, including novel pharmacological agents and personalized approaches such as precision medicine. In this Review, we synthesize the current knowledge of the clinical importance of sarcopenic obesity, its assessment and diagnosis, along with current and emerging management strategies.
Collapse
Affiliation(s)
- Carla M Prado
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
| | - John A Batsis
- Division of Geriatric Medicine, School of Medicine, and Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Lorenzo M Donini
- Department of Experimental Medicine, Sapienza University, Rome, Italy
| | - M Cristina Gonzalez
- Postgraduate Program in Nutrition and Food, Pelotas, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Mario Siervo
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Curtin Dementia Centre of Excellence, enAble Institute, Curtin University, Perth, Western Australia, Australia
| |
Collapse
|
4
|
Pereira-Monteiro MR, Aragão-Santos JC, Vasconcelos ABS, de Resende-Neto AG, de Almeida AFS, Gobbo LA, Hermosilla-Perona F, Heredia-Elvar JR, Del Vecchio FB, Aidar FJ, Da Silva-Grigoletto ME. Functional and Combined Training Promote Body Recomposition and Lower Limb Strength in Postmenopausal Women: A Randomized Clinical Trial and a Time Course Analysis. Healthcare (Basel) 2024; 12:932. [PMID: 38727489 PMCID: PMC11083855 DOI: 10.3390/healthcare12090932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 04/24/2024] [Accepted: 04/28/2024] [Indexed: 05/13/2024] Open
Abstract
Encouraging healthy aging in postmenopausal women involves advocating for lifestyle modifications, including regular physical exercise like combined training (CT) and functional training (FT). Regarding this population, age-related alterations in body composition, such as decreased muscle mass and heightened adipose tissue, impact health. The aim of this study was to analyze the effects of FT and CT on body recomposition in postmenopausal women. About the methods, we randomly allocated 96 post-menopausal women to the FT, CT, or control group (CG). We measured body composition by bioimpedance and lower limb muscle strength by sit-to-stand test in five repetitions, respectively. The training protocol lasted 16 weeks, and we measured body composition and lower limb muscle strength every 4 weeks, totaling five assessments. Regarding results, we notice that both training groups increased lean mass from the 8th week of training. In addition, a reduction was observed in total fat percentage and an increase in appendicular lean mass from the 12th week of intervention. No differences were found for body mass. Furthermore, only the experimental groups increase muscle strength, starting from the 4th week of training. The conclusion was that FT and CT promote similar adaptations in body recomposition without affecting body mass in postmenopausal women.
Collapse
Affiliation(s)
- Marcos Raphael Pereira-Monteiro
- Graduate Program in Physiological Sciences, Federal University of Sergipe, São Cristóvão 49100-000, Sergipe, Brazil; (A.B.S.V.); (F.J.A.); (M.E.D.S.-G.)
| | - José Carlos Aragão-Santos
- Graduate Program in Health Sciences, Federal University of Sergipe, Aracaju 49060-676, Sergipe, Brazil (A.F.S.d.A.)
| | - Alan Bruno Silva Vasconcelos
- Graduate Program in Physiological Sciences, Federal University of Sergipe, São Cristóvão 49100-000, Sergipe, Brazil; (A.B.S.V.); (F.J.A.); (M.E.D.S.-G.)
| | | | | | - Luis Alberto Gobbo
- Department of Physical Education, São Paulo State University, Presidente Prudente 19060-900, São Paulo, Brazil;
| | - Francisco Hermosilla-Perona
- Facultad de Ciencias de la Vida y la Naturaleza, Universidad Nebrija, 28015 Madrid, Spain;
- Department of Physical Activity and Sports Science, Alfonso X El Sabio University, 28691 Madrid, Spain;
| | - Juan Ramón Heredia-Elvar
- Department of Physical Activity and Sports Science, Alfonso X El Sabio University, 28691 Madrid, Spain;
| | | | - Felipe J. Aidar
- Graduate Program in Physiological Sciences, Federal University of Sergipe, São Cristóvão 49100-000, Sergipe, Brazil; (A.B.S.V.); (F.J.A.); (M.E.D.S.-G.)
- Graduate Program in Physical Education, Federal University of Sergipe, São Cristóvão 49100-000, Sergipe, Brazil
| | - Marzo Edir Da Silva-Grigoletto
- Graduate Program in Physiological Sciences, Federal University of Sergipe, São Cristóvão 49100-000, Sergipe, Brazil; (A.B.S.V.); (F.J.A.); (M.E.D.S.-G.)
- Graduate Program in Health Sciences, Federal University of Sergipe, Aracaju 49060-676, Sergipe, Brazil (A.F.S.d.A.)
- Graduate Program in Physical Education, Federal University of Sergipe, São Cristóvão 49100-000, Sergipe, Brazil
| |
Collapse
|
5
|
Khant Aung Z, Ladyman SR, Brown RSE. Transient loss of satiety effects of leptin in middle-aged male mice. J Neuroendocrinol 2024; 36:e13386. [PMID: 38549242 DOI: 10.1111/jne.13386] [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: 09/19/2023] [Revised: 02/08/2024] [Accepted: 03/18/2024] [Indexed: 05/03/2024]
Abstract
Extensive research is undertaken in rodents to determine the mechanism underlying obesity-induced leptin resistance. While body weight is generally tightly controlled in these studies, the effect of age of experimental animals has received less attention. Specifically, there has been little investigation into leptin regulation of food intake in middle-aged animals, which is a period of particular relevance for weight gain in humans. We investigated whether the satiety effects of leptin remained constant in young (3 months), middle-aged (12 months) or aged (18-22 months) male mice. Although mean body weight increased with age, leptin concentrations did not significantly increase in male mice beyond 12 months of age. Exogenous leptin administration led to a significant reduction in food intake in young mice but had no effect on food intake in middle-aged male mice. This loss of the satiety effect of leptin appeared to be transient, with leptin administration leading to the greatest inhibition of food intake in the aged male mice. Subsequently, we investigated whether these differences were due to changes in leptin transport into the brain with ageing. No change in leptin clearance from the blood or transport into the brain was observed, suggesting the emergence of central resistance to leptin in middle age. These studies demonstrate the presence of dynamic and age-specific changes in the satiety effects of leptin in male mice and highlight the requirement for age to be carefully considered when undertaking metabolic studies in rodents.
Collapse
Affiliation(s)
- Zin Khant Aung
- Centre for Neuroendocrinology and Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Sharon R Ladyman
- Centre for Neuroendocrinology and Department of Anatomy, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| | - Rosemary S E Brown
- Centre for Neuroendocrinology and Department of Physiology, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand
| |
Collapse
|
6
|
Kohanmoo A, Kazemi A, Zare M, Akhlaghi M. Gender-specific link between sleep quality and body composition components: a cross-sectional study on the elderly. Sci Rep 2024; 14:8113. [PMID: 38582755 PMCID: PMC10998859 DOI: 10.1038/s41598-024-58801-5] [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: 08/12/2023] [Accepted: 04/03/2024] [Indexed: 04/08/2024] Open
Abstract
Sleep duration has been associated with overweight/obesity. Since sleep quality and body composition alter during aging, we conducted this study to determine if sleep quality is linked to body composition components in elderly people. This is a cross-sectional study conducted on 305 Iranian community-dwelling elderly aged ≥ 65 years. Sleep quality and body composition components were evaluated using Pittsburgh sleep quality index and bioelectric impedance analysis, respectively. The association of sleep quality and body composition components was examined using linear regression analysis. The prevalence of poor sleep quality and overweight/obesity was 48.9% and 54.4% in men and 77.0% and 79.3% in women, respectively. Women had significantly higher scores in most PSQI items than men, indicating their worse sleep quality compared to men. Women also had significantly higher body mass index (BMI), body fat percentage, and visceral adipose tissue and lower skeletal muscle and fat-free mass percentages than men. In the adjusted regression model, men showed positive associations between the third tertile of poor sleep quality and BMI (B = 1.35; 95% CI 0.08-2.61) and waist circumference (B = 4.14; 95% CI 0.39-7.89), but they did not demonstrate an association between sleep quality and body composition components. In the adjusted regression model for women, there were positive associations for BMI (B = 1.21; 95% CI 0.34-2.07), waist circumference (B = 2.95; 95% CI 0.99-4.91), body fat percentage (B = 2.75; 95% CI 1.06-4.45), and visceral adipose tissue (B = 7.80; 95% CI 1.73-13.87); also there were negative associations for skeletal muscle (B = - 1.40; 95% CI - 2.39 - - 0.41) and fat-free mass (B = - 2.76; 95% CI - 4.46 - -1.07) percentages. Except for waist circumference, other variables differed between men and women (P < 0.001). Weight management, prevention of muscle wasting, and improvement of sleep quality should be considered in a consortium when designing healthcare strategies for the elderly.
Collapse
Affiliation(s)
- Ali Kohanmoo
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Razi Blvd, Shiraz, 7153675541, Iran
| | - Asma Kazemi
- School of Nutrition and Food Sciences, Nutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Morteza Zare
- Department of Clinical Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Masoumeh Akhlaghi
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Razi Blvd, Shiraz, 7153675541, Iran.
| |
Collapse
|
7
|
Linder N, Denecke T, Busse H. Body composition analysis by radiological imaging - methods, applications, and prospects. ROFO-FORTSCHR RONTG 2024. [PMID: 38569516 DOI: 10.1055/a-2263-1501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024]
Abstract
BACKGROUND This review discusses the quantitative assessment of tissue composition in the human body (body composition, BC) using radiological methods. Such analyses are gaining importance, in particular, for oncological and metabolic problems. The aim is to present the different methods and definitions in this field to a radiological readership in order to facilitate application and dissemination of BC methods. The main focus is on radiological cross-sectional imaging. METHODS The review is based on a recent literature search in the US National Library of Medicine catalog (pubmed.gov) using appropriate search terms (body composition, obesity, sarcopenia, osteopenia in conjunction with imaging and radiology, respectively), as well as our own work and experience, particularly with MRI- and CT-based analyses of abdominal fat compartments and muscle groups. RESULTS AND CONCLUSION Key post-processing methods such as segmentation of tomographic datasets are now well established and used in numerous clinical disciplines, including bariatric surgery. Validated reference values are required for a reliable assessment of radiological measures, such as fatty liver or muscle. Artificial intelligence approaches (deep learning) already enable the automated segmentation of different tissues and compartments so that the extensive datasets can be processed in a time-efficient manner - in the case of so-called opportunistic screening, even retrospectively from diagnostic examinations. The availability of analysis tools and suitable datasets for AI training is considered a limitation. KEY POINTS · Radiological imaging methods are increasingly used to determine body composition (BC).. · BC parameters are usually quantitative and well reproducible.. · CT image data from routine clinical examinations can be used retrospectively for BC analysis.. · Prospectively, MRI examinations can be used to determine organ-specific BC parameters.. · Automated and in-depth analysis methods (deep learning or radiomics) appear to become important in the future.. CITATION FORMAT · Linder N, Denecke T, Busse H. Body composition analysis by radiological imaging - methods, applications, and prospects. Fortschr Röntgenstr 2024; DOI: 10.1055/a-2263-1501.
Collapse
Affiliation(s)
- Nicolas Linder
- Department of Diagnostic and Interventional Radiology, University of Leipzig Medical Center, Leipzig, Germany
- Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, Sankt Gallen, Switzerland
| | - Timm Denecke
- Department of Diagnostic and Interventional Radiology, University of Leipzig Medical Center, Leipzig, Germany
| | - Harald Busse
- Department of Diagnostic and Interventional Radiology, University of Leipzig Medical Center, Leipzig, Germany
| |
Collapse
|
8
|
Dericioglu D, Methven L, Clegg ME. Understanding age-related changes: exploring the interplay of protein intake, physical activity and appetite in the ageing population. Proc Nutr Soc 2024:1-13. [PMID: 38557431 DOI: 10.1017/s0029665124002192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Globally, we are currently facing a rapid demographic shift leading to an increase in the proportion of older adults within the population. This raises concerns about the potential increase in age-related diseases and their impact on our ability to provide adequate health and end-of-life care. To apply appropriate interventions, understanding the changes that happen with ageing becomes essential. Ageing is often accompanied by a decrease in appetite and physical activity, which may lead to malnutrition, resulting in decreased muscle mass, physical capabilities and independence. To preserve muscle mass, older adults are advised to increase protein intake and physical activity. However, protein's high satiating effect may cause reduced energy intake. Physical activity is also advised to maintain or enhance older adult's appetite. This review paper aims to discuss appetite-related changes that occur with ageing and their consequences. In particular, it will focus on investigating the relationship between protein intake and physical activity and their impact on appetite and energy intake in the ageing population. Recent studies suggest that physical activity might contribute to maintaining or enhancing appetite in older adults. Nevertheless, establishing a definitive consensus on the satiating effect of protein in ageing remains a work in progress, despite some promising results in the existing literature.
Collapse
Affiliation(s)
- Dilara Dericioglu
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Whiteknights, ReadingRG6 6DZ, UK
- Institute of Food, Nutrition and Health, University of Reading, Whiteknights, Reading RG6 6EU, UK
| | - Lisa Methven
- Institute of Food, Nutrition and Health, University of Reading, Whiteknights, Reading RG6 6EU, UK
- Food Research Group, Department of Food and Nutritional Sciences, University of Reading,Whiteknights, Reading RG6 6DZ, UK
| | - Miriam E Clegg
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, Whiteknights, ReadingRG6 6DZ, UK
- Institute of Food, Nutrition and Health, University of Reading, Whiteknights, Reading RG6 6EU, UK
- School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| |
Collapse
|
9
|
Lemoine L, Buckinx F, Aidoud A, Leroy V, Fougère B, Aubertin-Leheudre M. Relationships between obesity markers and bone parameters in community-dwelling older adults. Aging Clin Exp Res 2024; 36:49. [PMID: 38421551 PMCID: PMC10904426 DOI: 10.1007/s40520-023-02673-8] [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: 07/03/2023] [Accepted: 11/21/2023] [Indexed: 03/02/2024]
Abstract
BACKGROUND Osteoporosis is an age-related condition that can lead to fragility fractures and other serious consequences. The literature data on the impact of obesity on bone health are contradictory. The main reasons for this discrepancy could be the imperfect nature of the body mass index (BMI) as a marker of obesity, the metabolic status (inflammation and metabolically healthy obesity), and/or heterogeneity in bone variables and architecture or sex. AIMS To examine the relationship between bone variables and three validated obesity criteria. METHODS In this cross-sectional study, participants were classified as obese according to their BMI, waist circumference (WC), and fat mass (FM). Bone variables and architecture were assessed using dual-energy X-ray absorptiometry and peripheral quantitative computed tomography, respectively. RESULTS One hundred sixty-eight adults aged 55 or over (men: 68%) were included. 48 (28%) participants were obese according to the BMI, with 108 (64%) according to the FM, and 146 (87%) according to the WC. Bone variables were positively correlated with WC and BMI (Pearson's r = 0.2-0.42). In men only, the obesity measures were negatively correlated with cortical bone density (Pearson's r = - 0.32 to - 0.19) and positively correlated with cortical bone area (Pearson's r = 0.22-0.39). CONCLUSION Our findings indicate that independent of sex and obesity criteria, when significant, being obese seems to lead to higher bone parameters than being non-obese, except for cortical bone density. Thus, in the obese population, assessing cortical density might help the physician to identify bone alteration. Further researches are needed to confirm our findings.
Collapse
Affiliation(s)
- L Lemoine
- Division of Geriatric Medicine, Tours University Medical Centre, Tours, France.
- CHRU Tours - Service de Médecine Aigue Gériatrique, Hôpital Bretonneau, 2 Boulevard Tonnellé, 37044, Tours Cedex 9, France.
| | - F Buckinx
- Département des Sciences de l'activité Physique, Faculté des Sciences, Groupe de recherche en Activité Physique Adaptée (GRAPA), Université du Québec À Montréal, Montreal, QC, Canada
- Centre de recherche de l'Institut, Université de Gériatrie de Montréal, Montreal, QC, Canada
| | - A Aidoud
- Division of Geriatric Medicine, Tours University Medical Centre, Tours, France
- EA4245 T2i, Université de Tours, Tours, France
| | - V Leroy
- Division of Geriatric Medicine, Tours University Medical Centre, Tours, France
| | - B Fougère
- Division of Geriatric Medicine, Tours University Medical Centre, Tours, France
- EA 7505 Education, Ethics, Health, Tours University, Tours, France
| | - M Aubertin-Leheudre
- Département des Sciences de l'activité Physique, Faculté des Sciences, Groupe de recherche en Activité Physique Adaptée (GRAPA), Université du Québec À Montréal, Montreal, QC, Canada
- Centre de recherche de l'Institut, Université de Gériatrie de Montréal, Montreal, QC, Canada
| |
Collapse
|
10
|
Sirisereephap K, Tamura H, Lim JH, Surboyo MDC, Isono T, Hiyoshi T, Rosenkranz AL, Sato-Yamada Y, Domon H, Ikeda A, Hirose T, Sunazuka T, Yoshiba N, Okada H, Terao Y, Maeda T, Tabeta K, Chavakis T, Hajishengallis G, Maekawa T. A novel macrolide-Del-1 axis to regenerate bone in old age. iScience 2024; 27:108798. [PMID: 38261928 PMCID: PMC10797555 DOI: 10.1016/j.isci.2024.108798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/24/2023] [Accepted: 01/02/2024] [Indexed: 01/25/2024] Open
Abstract
Aging is associated with increased susceptibility to chronic inflammatory bone loss disorders, such as periodontitis, in large part due to the impaired regenerative potential of aging tissues. DEL-1 exerts osteogenic activity and promotes bone regeneration. However, DEL-1 expression declines with age. Here we show that systemically administered macrolide antibiotics and a non-antibiotic erythromycin derivative, EM-523, restore DEL-1 expression in 18-month-old ("aged") mice while promoting regeneration of bone lost due to naturally occurring age-related periodontitis. These compounds failed to induce bone regeneration in age-matched DEL-1-deficient mice. Consequently, these drugs promoted DEL-1-dependent functions, including alkaline phosphatase activity and osteogenic gene expression in the periodontal tissue while inhibiting osteoclastogenesis, leading to net bone growth. Macrolide-treated aged mice exhibited increased skeletal bone mass, suggesting that this treatment may be pertinent to systemic bone loss disorders. In conclusion, we identified a macrolide-DEL-1 axis that can regenerate bone lost due to aging-related disease.
Collapse
Affiliation(s)
- Kridtapat Sirisereephap
- Division of Periodontology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
- Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand
| | - Hikaru Tamura
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Jong-Hyung Lim
- Department of Basic and Translational Sciences, Laboratory of Innate Immunity and Inflammation, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Meircurius Dwi Condro Surboyo
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
- Faculty of Dentistry, Universitas Airlangga, Surabaya 60132, Indonesia
| | - Toshihito Isono
- Division of Microbiology and Infectious Diseases, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Takumi Hiyoshi
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Andrea L. Rosenkranz
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Yurie Sato-Yamada
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Hisanori Domon
- Division of Microbiology and Infectious Diseases, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Akari Ikeda
- Ōmura Satoshi Memorial Institute, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan
- Graduate School of Infection Control Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan
| | - Tomoyasu Hirose
- Ōmura Satoshi Memorial Institute, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan
- Graduate School of Infection Control Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan
| | - Toshiaki Sunazuka
- Ōmura Satoshi Memorial Institute, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan
- Graduate School of Infection Control Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan
| | - Nagako Yoshiba
- Division of Cariology, Operative Dentistry and Endodontics, Department of Oral Health Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Hiroyuki Okada
- Laboratory of Clinical Biotechnology, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Yutaka Terao
- Division of Microbiology and Infectious Diseases, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Takeyasu Maeda
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Koichi Tabeta
- Division of Periodontology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| | - Triantafyllos Chavakis
- Institute for Clinical Chemistry and Laboratory Medicine, University Hospital and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - George Hajishengallis
- Department of Basic and Translational Sciences, Laboratory of Innate Immunity and Inflammation, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Tomoki Maekawa
- Center for Advanced Oral Science, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8514, Japan
| |
Collapse
|
11
|
de Luis Román D, Gómez JC, García-Almeida JM, Vallo FG, Rolo GG, Gómez JJL, Tarazona-Santabalbina FJ, Sanz-Paris A. Diabetic Sarcopenia. A proposed muscle screening protocol in people with diabetes : Expert document. Rev Endocr Metab Disord 2024:10.1007/s11154-023-09871-9. [PMID: 38315411 DOI: 10.1007/s11154-023-09871-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/28/2023] [Indexed: 02/07/2024]
Abstract
OBJECTIVES To propose the grounds for "diabetic sarcopenia" as a new comorbidity of diabetes, and to establish a muscle screening algorithm proposal to facilitate its diagnosis and staging in clinical practice. METHOD A qualitative expert opinion study was carried out using the nominal technique. A literature search was performed with the terms "screening" or "diagnostic criteria" and "muscle loss" or "sarcopenia" and "diabetes" that was sent to a multidisciplinary group of 7 experts who, in a face-to-face meeting, discussed various aspects of the screening algorithm. RESULTS The hallmark of diabetic sarcopenia (DS) is muscle mass atrophy characteristic of people with diabetes mellitus (DM) in contrast to the histological and physiological normality of muscle mass. The target population to be screened was defined as patients with DM with a SARC-F questionnaire > 4, glycosylated haemoglobin (HbA1C) ≥ 8.0%, more than 5 years since onset of DM, taking sulfonylureas, glinides and sodium/glucose cotransporter inhibitors (SGLT2), as well as presence of chronic complications of diabetes or clinical suspicion of sarcopenia. Diagnosis was based on the presence of criteria of low muscle strength (probable sarcopenia) and low muscle mass (confirmed sarcopenia) using methods available in any clinical consultation room, such as dynamometry, the chair stand test, and Body Mass Index (BMI)-adjusted calf circumference. DS was classified into 4 stages: Stage I corresponds to sarcopenic patients with no other diabetes complication, and Stage II corresponds to patients with some type of involvement. Within Stage II are three sublevels (a, b and c). Stage IIa refers to individuals with sarcopenic diabetes and some diabetes-specific impairment, IIb to sarcopenia with functional impairment, and IIc to sarcopenia with diabetes complications and changes in function measured using standard tests Conclusion: Diabetic sarcopenia has a significant impact on function and quality of life in people with type 2 diabetes mellitus (T2DM), and it is important to give it the same attention as all other traditionally described complications of T2DM. This document aims to establish the foundation for protocolising the screening and diagnosis of diabetic sarcopenia in a manner that is simple and accessible for all levels of healthcare.
Collapse
Affiliation(s)
- Daniel de Luis Román
- Center Investigación of Endocrinology and Nutrition, University of Valladolid, Valladolid, Spain.
| | | | - José Manuel García-Almeida
- Clinical Management Unit of Endocrinology and Nutrition, Virgen de la Victoria Clinical Hospital, Málaga, Spain
| | | | | | - Juan José López Gómez
- Endocrinology and Nutrition Department, University Clinical Hospital of Valladolid, Valladolid, Spain
| | | | | |
Collapse
|
12
|
Morris AR, Gudenschwager Basso EK, Gutierrez-Monreal MA, Arja RD, Kobeissy FH, Janus CG, Wang KK, Zhu J, Liu AC. Lifelong Chronic Sleep Disruption in a Mouse Model of Traumatic Brain Injury. Neurotrauma Rep 2024; 5:61-73. [PMID: 38288298 PMCID: PMC10823169 DOI: 10.1089/neur.2023.0107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024] Open
Abstract
Chronic sleep/wake disturbances (SWDs) are strongly associated with traumatic brain injury (TBI) in patients and are being increasingly recognized. However, the underlying mechanisms are largely understudied and there is an urgent need for animal models of lifelong SWDs. The objective of this study was to develop a chronic TBI rodent model and investigate the lifelong chronic effect of TBI on sleep/wake behavior. We performed repetitive midline fluid percussion injury (rmFPI) in 4-month-old mice and monitored their sleep/wake behavior using the non-invasive PiezoSleep system. Sleep/wake states were recorded before injury (baseline) and then monthly thereafter. We found that TBI mice displayed a significant decrease in sleep duration in both the light and dark phases, beginning at 3 months post-TBI and continuing throughout the study. Consistent with the sleep phenotype, these TBI mice showed circadian locomotor activity phenotypes and exhibited reduced anxiety-like behavior. TBI mice also gained less weight, and had less lean mass and total body water content, compared to sham controls. Further, TBI mice showed extensive brain tissue loss and increased glial fibrillary acidic protein and ionized calcium-binding adaptor molecule 1 levels in the hypothalamus and vicinity of the injury, indicative of chronic neuropathology. In summary, our study identified a critical time window of TBI pathology and associated circadian and sleep/wake phenotypes. Future studies should leverage this mouse model to investigate the molecular mechanisms underlying the chronic sleep/wake phenotypes post-TBI early in life.
Collapse
Affiliation(s)
- Andrew R. Morris
- Department of Physiology and Aging, Department of Neuroscience, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Erwin K. Gudenschwager Basso
- Department of Physiology and Aging, Department of Neuroscience, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Miguel A. Gutierrez-Monreal
- Department of Physiology and Aging, Department of Neuroscience, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Rawad Daniel Arja
- Center for Neurotrauma, Multiomics & Biomarkers, Department of Neurobiology and Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Firas H. Kobeissy
- Center for Neurotrauma, Multiomics & Biomarkers, Department of Neurobiology and Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Christopher G. Janus
- Center for Translational Research in Neurodegenerative Disease (CTRND), Department of Neuroscience, University of Florida College of Medicine, Gainesville, Florida, USA
| | - Kevin K.W. Wang
- Center for Neurotrauma, Multiomics & Biomarkers, Department of Neurobiology and Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Jiepei Zhu
- Center for Neurotrauma, Multiomics & Biomarkers, Department of Neurobiology and Neuroscience Institute, Morehouse School of Medicine, Atlanta, Georgia, USA
| | - Andrew C. Liu
- Department of Physiology and Aging, Department of Neuroscience, University of Florida College of Medicine, Gainesville, Florida, USA
| |
Collapse
|
13
|
Keirns BH, Sciarrillo CM, Poindexter KL, Dixon MD, Medlin AR, Koemel NA, Hart SM, Geist CH, Jenkins NDM, Lucas EA, Emerson SR. Postprandial triglycerides across the aging spectrum: A secondary analysis utilizing an abbreviated fat tolerance test. Nutr Metab Cardiovasc Dis 2024; 34:121-125. [PMID: 37788958 DOI: 10.1016/j.numecd.2023.08.017] [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: 06/01/2023] [Revised: 07/31/2023] [Accepted: 08/25/2023] [Indexed: 10/05/2023]
Abstract
BACKGROUND & AIMS Elevated postprandial triglycerides are an independent cardiovascular disease risk factor and observed in older adults. However, differences in postprandial triglycerides across the spectrum of adulthood remain unclear. METHODS AND RESULTS We performed a secondary analysis of six studies where adults (aged 18-84 years; N = 155) completed an abbreviated fat tolerance test (9 kcal/kg; 70% fat). Differences in postprandial triglycerides were compared in those ≥50 and <50 years and by decade of life, adjusting for sex and BMI. Compared to those <50 years, participants ≥50 years had higher fasting, 4 h, and Δ triglycerides from baseline (p's < 0.05). When examining triglyceride parameters by decade, no differences were observed for fasting triglycerides, but 50 s, 60 s, and 70s-80 s displayed greater 4 h and Δ triglycerides versus 20 s (p's ≤ 0.001). The frequency of adverse postprandial triglyceride responses (i.e., ≥220 mg/dL) was higher in participants ≥50 versus <50 years (p < 0.01), and in 60 s compared to all other decades (p = 0.01). CONCLUSION Older age was generally associated with higher postprandial triglycerides, with no divergence across the spectrum of older adulthood. In our sample, postprandial triglyceride differences in older and younger adults were driven by those >50 years relative to young adults in their 20 s. REGISTRATION N/A (secondary analysis).
Collapse
Affiliation(s)
- Bryant H Keirns
- Department of Nutrition and Health Science, Ball State University, Muncie, IN 47306, USA.
| | - Christina M Sciarrillo
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, 74075, USA
| | - Kara L Poindexter
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, 74075, USA
| | - Madison D Dixon
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, 74075, USA
| | - Austin R Medlin
- Department of Health & Wellness Design, Indiana University School of Public Health, 1025 E. Seventh St., Bloomington, IN 47405, USA
| | - Nicholas A Koemel
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, 2006, USA; Sydney Medical School, The University of Sydney, NSW, 2006, Australia
| | - Samantha M Hart
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, 74075, USA
| | - Caroline H Geist
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, 74075, USA
| | - Nathaniel D M Jenkins
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA, 52242, USA; Abboud Cardiovascular Research Center, University of Iowa, Iowa City, IA, 52242, USA
| | - Edralin A Lucas
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, 74075, USA
| | - Sam R Emerson
- Department of Nutritional Sciences, Oklahoma State University, Stillwater, OK, 74075, USA
| |
Collapse
|
14
|
Wu B, Huang D, Yi Z, Yu F, Liu L, Tang X, Jing K, Fan J, Pan C. Correlation between body composition and white matter hyperintensity in patients with acute ischemic stroke. Medicine (Baltimore) 2023; 102:e36497. [PMID: 38115357 PMCID: PMC10727575 DOI: 10.1097/md.0000000000036497] [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: 04/25/2023] [Revised: 10/25/2023] [Accepted: 11/15/2023] [Indexed: 12/21/2023] Open
Abstract
White matter hyperintensity (WMH) burden is associated with a higher risk of ischemic stroke. The relationship between WMH and obesity is somewhat controversial which might be interfered by different body composition such as skeletal muscle, fat and bone density. However, few researchers have evaluated the relationship between WMH burden and disaggregated body constituents in acute ischemic stroke (AIS) patients systematically. A total of 352 AIS patients were enrolled in this study. The subcutaneous adipose tissue, erector spinae muscle area and bone density were evaluated on the computed tomography scanning. The burden of WMH was evaluated using the Fazekas scale based on the fluid-attenuated inversion recovery sequence. The severity of overall WMH was defined as none-mild WMH (total Fazekas score 0-2) or moderate-severe WMH (total Fazekas score 3-6). Based on the severity of periventricular WMH (P-WMH) and deep WMH, patients were categorized into either a none-mild (Fazekas score 0-1) group or a moderate-severe (Fazekas score 2-3) group. We found that patients with moderate-severe WMH showed lower bone density and smaller erector spinae muscle area and subcutaneous adipose tissue than none-mild. The logistic regression analysis showed that the bone density was independently associated with moderate-severe overall WMH (odds radio = 0.98, 95% confidence interval, 0.972-0.992, P < .001) and similar results were found in the analyses according to P-WMH (odds radio = 0.98, 95% confidence interval, 0.972-0.992, P < .001). These findings suggest that among the AIS body composition, the bone density is independently associated with the severity of overall WMH and P-WMH.
Collapse
Affiliation(s)
- Bin Wu
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
| | - Dong Huang
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
- Jishou University, Jishou, People’s Republic of China
| | - Ziwei Yi
- The Forth People’s Hospital of Huaihua, Huaihua, People’s Republic of China
| | - Fang Yu
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
| | - Li Liu
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
| | - Xianbi Tang
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
| | - Kaiquan Jing
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
| | - Jiangli Fan
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
| | - Chuzheng Pan
- Department of Neurology, Hunan University of Medicine General Hospital, Huaihua, People’s Republic of China
- The Advanced Stroke Center of China, Huaihua, People’s Republic of China
| |
Collapse
|
15
|
Yu H, Armstrong N, Pavela G, Kaiser K. Sex and Race Differences in Obesity-Related Genetic Susceptibility and Risk of Cardiometabolic Disease in Older US Adults. JAMA Netw Open 2023; 6:e2347171. [PMID: 38064210 PMCID: PMC10709778 DOI: 10.1001/jamanetworkopen.2023.47171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/29/2023] [Indexed: 12/18/2023] Open
Abstract
Importance The fat mass and obesity-associated gene (FTO) is associated with obesity phenotypes, but the association is inconsistent across populations. Within-population differences may explain some of the variability observed. Objective To investigate sex differences in the association between FTO single-nucleotide variants (SNVs) and obesity traits among self-identified non-Hispanic Black and non-Hispanic White US adults, to examine whether the SNVs were associated with cardiometabolic diseases, and to evaluate whether obesity mediated the association between FTO SNVs and cardiometabolic diseases. Design, Setting, and Participants This cross-sectional study used data from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, a US population-based cohort study with available genetic data (assayed in 2018) and phenotypic data at baseline (enrolled 2003-2007). Participants were aged 45 to 98 years at baseline. Data were analyzed from October 2021 to October 2022. Exposures Eleven SNVs in the FTO gene present among both Black and White participants. Main Outcomes and Measures Objectively measured obesity indicators (body mass index and waist-to-height ratio), objectively measured and/or self-reported cardiometabolic diseases (hypertension, stroke history, heart disease, and diabetes), and self-reported social-economic and psychosocial status. Results A total of 10 447 participants (mean [SD] age, 64.4 [9.7] years; 5276 [55.8%] women; 8743 [83.7%] Black and 1704 [16.3%] White) were included. In the White group, 11 FTO SNVs were significantly associated with obesity, hypertension, and diabetes using linear models (eg, body mass index: β = 0.536; 95% CI, 0.197-0.875), but none of the FTO SNVs were associated with obesity traits in the Black group. White males had a higher risk of obesity while White females had a higher risk of hypertension and diabetes. However, 1 FTO SNV (rs1121980) was associated with a direct increase in the risk of heart disease in Black participants not mediated by obesity (c' = 0.145 [SE, 0.0517]; P = .01). Conclusions and Relevance In this cross-sectional study of obesity phenotypes and their association with cardiometabolic diseases, the tested FTO SNVs reflected sex differences in White participants. Different patterns of associations were observed among self-identified Black participants. Therefore, these results could inform future work discovering risk alleles or risk scores unique to Black individuals or further investigating genetic risk in all US residents.
Collapse
Affiliation(s)
- Hairui Yu
- Department of Health Behavior, School of Public Health, University of Alabama at Birmingham
- Department of Family and Community Medicine, School of Medicine, University of Alabama at Birmingham
| | - Nicole Armstrong
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham
| | - Greg Pavela
- Department of Health Behavior, School of Public Health, University of Alabama at Birmingham
| | - Kathryn Kaiser
- Department of Health Behavior, School of Public Health, University of Alabama at Birmingham
| |
Collapse
|
16
|
Gu D, Lu Y, Xu B, Tang X. Sex-Specific Contribution of Cardiometabolic Index in Predicting Metabolic Dysfunction-Associated Fatty Liver Disease: Insights from a General Population. Diabetes Metab Syndr Obes 2023; 16:3871-3883. [PMID: 38054037 PMCID: PMC10695138 DOI: 10.2147/dmso.s437413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 11/20/2023] [Indexed: 12/07/2023] Open
Abstract
Background and Objective Evidence suggests that cardiometabolic index (CMI) has been identified as a novel obesity-related index associated with diabetes, hypertension, and cardiovascular disease. Current evidence suggests that the differences in sex hormones and regional fat distribution in both sexes are directly correlated with metabolic dysfunction-associated fatty liver disease (MAFLD) risk. This study aimed to investigate the diagnostic value of CMI in MAFLD in both sexes. Methods This retrospective study included 6107 subjects who underwent annual health check-ups from March 2021 to January 2022. CMI was calculated by multiplying the ratio of triglycerides and high-density lipoprotein cholesterol (TG/HDL-C) by waist-to-height ratio (WHtR). Multivariable logistic regression analysis and restricted cubic spline were used to investigate the association of CMI and MAFLD risk. Receiver operating characteristic curve analysis was conducted for the exploration of the diagnostic accuracies of obesity-related indicators. Areas under the curves (AUCs) with 95% CIs were calculated. Results Prevalence of MAFLD increased with elevated quartiles of CMI in both sexes. The median (IQR) age was 46.00 (18.00) years. Multivariate logistic regression analyses showed that higher CMI was independently associated with MAFLD, in which every additional standard deviation (SD) of CMI increased the risk of MAFLD (OR=2.72, 95% CI:2.35-3.15 for males; OR=3.26, 95% CI:2.36-4.51 for females). Subjects in the fourth quartile of CMI had the highest odds of MAFLD for males (OR=15.82, 95% CI:11.84-21.14) and females (OR=22.60, 95% CI:9.52-53.65)(all P for trend<0.001). Besides, CMI had a non-linearity association with MAFLD (all P for non-linearity<0.001). Furthermore, CMI exhibited the largest AUC compared to other obesity-related indexes in terms of discriminating MAFLD in males (AUC=0.796, 95% CI:0.782-0.810) and females (AUC=0.853, 95% CI:0.834-0.872). Conclusion CMI was a convenient indicator for the screening of MAFLD among Chinese adults. Females with high CMI had a better diagnostic value for MAFLD than males.
Collapse
Affiliation(s)
- Dongxing Gu
- Health Examination Center, Huadong Sanatorium, Wuxi, People’s Republic of China
| | - Yayun Lu
- Health Examination Center, Huadong Sanatorium, Wuxi, People’s Republic of China
| | - Baiqing Xu
- Health Examination Center, Huadong Sanatorium, Wuxi, People’s Republic of China
| | - Xuefeng Tang
- Department of Health Nursing, Huadong Sanatorium, Wuxi, People’s Republic of China
| |
Collapse
|
17
|
Umbayev B, Saliev T, Safarova (Yantsen) Y, Yermekova A, Olzhayev F, Bulanin D, Tsoy A, Askarova S. The Role of Cdc42 in the Insulin and Leptin Pathways Contributing to the Development of Age-Related Obesity. Nutrients 2023; 15:4964. [PMID: 38068822 PMCID: PMC10707920 DOI: 10.3390/nu15234964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/22/2023] [Accepted: 11/26/2023] [Indexed: 12/18/2023] Open
Abstract
Age-related obesity significantly increases the risk of chronic diseases such as type 2 diabetes, cardiovascular diseases, hypertension, and certain cancers. The insulin-leptin axis is crucial in understanding metabolic disturbances associated with age-related obesity. Rho GTPase Cdc42 is a member of the Rho family of GTPases that participates in many cellular processes including, but not limited to, regulation of actin cytoskeleton, vesicle trafficking, cell polarity, morphology, proliferation, motility, and migration. Cdc42 functions as an integral part of regulating insulin secretion and aging. Some novel roles for Cdc42 have also been recently identified in maintaining glucose metabolism, where Cdc42 is involved in controlling blood glucose levels in metabolically active tissues, including skeletal muscle, adipose tissue, pancreas, etc., which puts this protein in line with other critical regulators of glucose metabolism. Importantly, Cdc42 plays a vital role in cellular processes associated with the insulin and leptin signaling pathways, which are integral elements involved in obesity development if misregulated. Additionally, a change in Cdc42 activity may affect senescence, thus contributing to disorders associated with aging. This review explores the complex relationships among age-associated obesity, the insulin-leptin axis, and the Cdc42 signaling pathway. This article sheds light on the vast molecular web that supports metabolic dysregulation in aging people. In addition, it also discusses the potential therapeutic implications of the Cdc42 pathway to mitigate obesity since some new data suggest that inhibition of Cdc42 using antidiabetic drugs or antioxidants may promote weight loss in overweight or obese patients.
Collapse
Affiliation(s)
- Bauyrzhan Umbayev
- National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan; (Y.S.); (A.Y.); (F.O.); (A.T.); (S.A.)
| | - Timur Saliev
- S.D. Asfendiyarov Kazakh National Medical University, Almaty 050012, Kazakhstan;
| | - Yuliya Safarova (Yantsen)
- National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan; (Y.S.); (A.Y.); (F.O.); (A.T.); (S.A.)
| | - Aislu Yermekova
- National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan; (Y.S.); (A.Y.); (F.O.); (A.T.); (S.A.)
| | - Farkhad Olzhayev
- National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan; (Y.S.); (A.Y.); (F.O.); (A.T.); (S.A.)
| | - Denis Bulanin
- Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana 010000, Kazakhstan;
| | - Andrey Tsoy
- National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan; (Y.S.); (A.Y.); (F.O.); (A.T.); (S.A.)
| | - Sholpan Askarova
- National Laboratory Astana, Nazarbayev University, Astana 010000, Kazakhstan; (Y.S.); (A.Y.); (F.O.); (A.T.); (S.A.)
| |
Collapse
|
18
|
Kakebeeke TH, Chaouch A, Caflisch J, Eichelberger DA, Wehrle FM, Jenni OG. Comparing neuromotor functions in 45- and 65-year-old adults with 18-year-old adolescents. Front Hum Neurosci 2023; 17:1286393. [PMID: 38034071 PMCID: PMC10684742 DOI: 10.3389/fnhum.2023.1286393] [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: 09/04/2023] [Accepted: 10/26/2023] [Indexed: 12/02/2023] Open
Abstract
Aim This cross-sectional analysis investigates how neuromotor functions of two independent cohorts of approximately 45- and 65-year-old individuals are different from 18-year-old adolescents using the Zurich Neuromotor Assessment-2 (ZNA-2). Methods A total of 186 individuals of the Zurich Longitudinal Studies (ZLS) born in the 1950s (mean age 65.1 years, SD = 1.2 year, range of ages 59.0-67.5 years, n = 151, 82 males) and 1970s (mean age 43.6 years, SD = 1.3 year, range of ages 40.8-46.6 years, n = 35, 16 males) were tested with the ZNA-2 on 14 motor tasks combined in 5 motor components: fine motor, pure motor, balance, gross motor, and associated movements. Motor performance measures were converted into standard deviation scores (SDSs) using the normative data for 18-year-old individuals as reference. Results The motor performance of the 45-year-old individuals was remarkably similar to that of the 18-year-olds (SDS from -0.22 to 0.25) apart from associated movements (-0.49 SDS). The 65-year-olds showed lower performance than the 18-year-olds in all components of the ZNA-2, with the smallest difference observed for associated movements (-0.67 SDS) and the largest for gross motor skills (-2.29 SDS). Higher body mass index (BMI) was associated with better performance on gross motor skills for 45-year-olds but with worse performance for 65-year-olds. More educational years had positive effects on gross motor skills for both ages. Interpretation With the exception of associated movements, neuromotor functions as measured with the ZNA-2 are very similar in 45- and 18-year-olds. In contrast, at age 65 years, all neuromotor components show significantly lower function than the norm population at 18 years. Some evidence was found for the last-in-first-out hypothesis: the functions that developed later during adolescence, associated movements and gross motor skills, were the most vulnerable to age-related decline.
Collapse
Affiliation(s)
- Tanja H. Kakebeeke
- Child Development Center, University Children’s Hospital Zurich, Zurich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, Zurich, Switzerland
| | - Aziz Chaouch
- Department of Epidemiology and Health Systems, Quantitative Research, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Jon Caflisch
- Child Development Center, University Children’s Hospital Zurich, Zurich, Switzerland
| | | | - Flavia M. Wehrle
- Child Development Center, University Children’s Hospital Zurich, Zurich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, Zurich, Switzerland
- Department of Neonatology and Intensive Care, University Children’s Hospital Zurich, Zurich, Switzerland
| | - Oskar G. Jenni
- Child Development Center, University Children’s Hospital Zurich, Zurich, Switzerland
- Children’s Research Center, University Children’s Hospital Zurich, Zurich, Switzerland
- University of Zurich, Zurich, Switzerland
| |
Collapse
|
19
|
Morris AR, Gudenschwager Basso EK, Gutierrez-Monreal MA, Arja RD, Kobeissy FH, Janus CG, Wang KKW, Zhu J, Liu AC. Sleep Disruption in a Mouse Model of Chronic Traumatic Brain Injury. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.10.566553. [PMID: 38014315 PMCID: PMC10680804 DOI: 10.1101/2023.11.10.566553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Chronic sleep/wake disturbances are strongly associated with traumatic brain injury (TBI) in patients and are being increasingly recognized. However, the underlying mechanisms are largely understudied and there is an urgent need for animal models of lifelong sleep/wake disturbances. The objective of this study was to develop a chronic TBI rodent model and investigate the lifelong chronic effect of TBI on sleep/wake behavior. We performed repetitive midline fluid percussion injury (rmFPI) in four months old mice and monitored their sleep/wake behavior using the non-invasive PiezoSleep system. The sleep/wake states were recorded before injury (baseline) and then monthly thereafter. We found that TBI mice displayed a significant decrease in sleep duration in both the light and dark phases, beginning at three months post-TBI and continuing throughout the study. Consistent with the sleep phenotype, these TBI mice showed circadian locomotor activity phenotypes and exhibited reduced anxiety-like behavior. TBI mice also gained less weight, and had less lean mass and total body water content, compared to sham controls. Furthermore, TBI mice showed extensive brain tissue loss and increased GFAP and IBA1 levels in the hypothalamus and the vicinity of the injury, indicative of chronic neuropathology. In summary, our study identified a critical time window of TBI pathology and associated circadian and sleep/wake phenotypes. Future studies should leverage this mouse model to investigate the molecular mechanisms underlying the chronic sleep/wake phenotypes following TBI early in life.
Collapse
|
20
|
Henning MK, Aaløkken TM, Martinsen AC, Johansen S. The impact of body compositions on contrast medium enhancement in chest CT: a randomised controlled trial. BJR Open 2023; 5:20230054. [PMID: 37942494 PMCID: PMC10630975 DOI: 10.1259/bjro.20230054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/06/2023] [Accepted: 09/11/2023] [Indexed: 11/10/2023] Open
Abstract
Objective To compare a fixed-volume contrast medium (CM) protocol with a combined total body weight (TBW) and body composition-tailored protocol in chest CT. Methods and materials Patients referred for routine contrast enhanced chest CT were prospectively categorised as normal, muscular or overweight. Patients were accordingly randomised into two groups; Group 1 received a fixed CM protocol. Group 2 received CM volume according to a body composition-tailored protocol. Objective image quality comparisons between protocols and body compositions were performed. Differences between groups and correlation were analysed using t-test and Pearson's r. Results A total of 179 patients were included: 87 in Group 1 (mean age, 51 ± 17 years); and 92 in Group 2 (mean age, 52 ± 17 years). Compared to Group 2, Group 1 showed lower vascular attenuation in muscular (mean 346 Hounsfield unit (HU) vs 396 HU; p = 0.004) and overweight categories (mean 342 HU vs 367 HU; p = 0.12), while normal category patients showed increased attenuation (385 vs 367; p = 0.61). In Group 1, strongest correlation was found between attenuation and TBW in muscular (r = -.49, p = 0.009) and waist circumference in overweight patients (r = -.50, p = 0.005). In Group 2, no significant correlations were found for the same body size parameters. In Group 1, 13% of the overweight patients was below 250 HU (p = 0.053). Conclusion A combined TBW and body composition-tailored CM protocol in chest CT resulted in more homogenous enhancement and fewer outliers compared to a fixed-volume protocol. Advances in knowledge This is, to our knowledge, the first study to investigate the impact of various body compositions on contrast medium enhancement in chest CT.
Collapse
|
21
|
Jiang X, Chen F, Yang X, Yang M, Zhang X, Ma X, Yan P. Effects of personal and health characteristics on the intrinsic capacity of older adults in the community: a cross-sectional study using the healthy aging framework. BMC Geriatr 2023; 23:643. [PMID: 37817083 PMCID: PMC10566030 DOI: 10.1186/s12877-023-04362-7] [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: 10/22/2022] [Accepted: 09/27/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Intrinsic capacity (IC) can better reflect the physical functioning of older adults. However, few studies have been able to systematically and thoroughly examine its influencing factors and provide limited evidence for the improvement of intrinsic capacity. The objective of this study was to provide a comprehensive description of the overall decline in intrinsic capacity among older persons in the community. Additionally, the study aimed to analyze the composition of the five domains of reduction, compare the rate of decline among older adults and investigate the factors that influence this decline. METHODS This was a cross-sectional study conducted in the Chinese community. The self-designed general characteristics questionnaire was created based on the healthy aging framework and a systematic review. Intrinsic capacity was assessed with the Mini-Mental State Examination (MMSE), Geriatric Depression Scale (GDS-15), Community Health Record Management System (CHRMS), Mini Nutritional Assessment Brief Form (MNA-SF), and Short Physical Performance Battery (SPPB). The influencing factors of intrinsic capacity were investigated using stepwise logistic regression. RESULTS A total of 968 older adults with a mean age of 71.00 (68.00, 76.75) were examined, and 704 older adults (72.7%) showed a decline in intrinsic capacity. There was a decline in at least one domain in 39.3% of older adults, with reductions in each domain ranging from 5.3% (psychological) to 52.4% (sensory). The study examined the composition of domains that experienced a decline in intrinsic capacity. It was found that a combination of sensory and locomotor domains showed the most significant decrease in 44.5% (n = 106) of individuals who experienced a decline in the two domains. Furthermore, a combination of sensory, cognitive, and locomotor domains exhibited a significant decrease in 51.3% (n = 44) of individuals who experienced a reduction in three domains. Lastly, a combination of sensory, vitality, cognitive, and locomotor domains showed the most significant decline in four domains, accounting for 60.0% (n = 15) of the population. Older adults had a higher risk of intrinsic capacity decline if they were older (95% CI:1.158-2.310), had lower education, lived alone (95% CI: 1.133-3.216), smoked (95% CI: 1.163-3.251), high Charlson Comorbidity Index (95% CI: 1.243-1.807) scores, did not regular exercise (95% CI:1.150-3.084), with lower handgrip strength (95% CI: 0.945-0.982). CONCLUSIONS We found a relatively high prevalence of intrinsic capacity; more attention should be paid to older adults who are older, less educated, live alone, and have more comorbidities. It is imperative to prioritize a healthy lifestyle among older persons who exhibit smoking habits, lack regular exercise, and possess inadequate handgrip strength.
Collapse
Affiliation(s)
- Xin Jiang
- Nursing College of Xinjiang Medical University, No.567, Shangde North Road, Shuimogou District, Urumqi, 830017, China
| | - Fenghui Chen
- Nursing College of Xinjiang Medical University, No.567, Shangde North Road, Shuimogou District, Urumqi, 830017, China
| | - Xuanxuan Yang
- Nursing College of Xinjiang Medical University, No.567, Shangde North Road, Shuimogou District, Urumqi, 830017, China
| | - Mei Yang
- Xingfu Road Branch of Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University (Xingfu Road Community Center), No.226, Xingfu Road, Tianshan District, Urumqi, 830002, China
| | - Xuehong Zhang
- Xingfu Road Branch of Traditional Chinese Medicine Hospital Affiliated to Xinjiang Medical University (Xingfu Road Community Center), No.226, Xingfu Road, Tianshan District, Urumqi, 830002, China
| | - Xuan Ma
- Nursing College of Xinjiang Medical University, No.567, Shangde North Road, Shuimogou District, Urumqi, 830017, China
| | - Ping Yan
- Nursing College of Xinjiang Medical University, No.567, Shangde North Road, Shuimogou District, Urumqi, 830017, China.
| |
Collapse
|
22
|
Hu K, Deya Edelen E, Zhuo W, Khan A, Orbegoso J, Greenfield L, Rahi B, Griffin M, Ilich JZ, Kelly OJ. Understanding the Consequences of Fatty Bone and Fatty Muscle: How the Osteosarcopenic Adiposity Phenotype Uncovers the Deterioration of Body Composition. Metabolites 2023; 13:1056. [PMID: 37887382 PMCID: PMC10608812 DOI: 10.3390/metabo13101056] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/26/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Abstract
Adiposity is central to aging and several chronic diseases. Adiposity encompasses not just the excess adipose tissue but also body fat redistribution, fat infiltration, hypertrophy of adipocytes, and the shifting of mesenchymal stem cell commitment to adipogenesis. Bone marrow adipose tissue expansion, inflammatory adipokines, and adipocyte-derived extracellular vesicles are central to the development of osteopenic adiposity. Adipose tissue infiltration and local adipogenesis within the muscle are critical in developing sarcopenic adiposity and subsequent poorer functional outcomes. Ultimately, osteosarcopenic adiposity syndrome is the result of all the processes noted above: fat infiltration and adipocyte expansion and redistribution within the bone, muscle, and adipose tissues, resulting in bone loss, muscle mass/strength loss, deteriorated adipose tissue, and subsequent functional decline. Increased fat tissue, typically referred to as obesity and expressed by body mass index (the latter often used inadequately), is now occurring in younger age groups, suggesting people will live longer with the negative effects of adiposity. This review discusses the role of adiposity in the deterioration of bone and muscle, as well as adipose tissue itself. It reveals how considering and including adiposity in the definition and diagnosis of osteopenic adiposity, sarcopenic adiposity, and osteosarcopenic adiposity will help in better understanding the pathophysiology of each and accelerate possible therapies and prevention approaches for both relatively healthy individuals or those with chronic disease.
Collapse
Affiliation(s)
- Kelsey Hu
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| | - Elizabeth Deya Edelen
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| | - Wenqing Zhuo
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| | - Aliya Khan
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| | - Josselyne Orbegoso
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| | - Lindsey Greenfield
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| | - Berna Rahi
- Department of Human Sciences, Sam Houston State University College of Health Sciences, Huntsville, TX 77341, USA;
| | - Michael Griffin
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| | - Jasminka Z. Ilich
- Institute for Successful Longevity, Florida State University, Tallahassee, FL 32304, USA;
| | - Owen J. Kelly
- Department of Molecular and Cellular Biology, Sam Houston State University College of Osteopathic Medicine, Conroe, TX 77304, USA; (K.H.); (E.D.E.); (W.Z.); (A.K.); (J.O.); (L.G.); (M.G.)
| |
Collapse
|
23
|
Sun X, Shen J, Perrimon N, Kong X, Wang D. The endoribonuclease Arlr is required to maintain lipid homeostasis by downregulating lipolytic genes during aging. Nat Commun 2023; 14:6254. [PMID: 37803019 PMCID: PMC10558556 DOI: 10.1038/s41467-023-42042-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 09/28/2023] [Indexed: 10/08/2023] Open
Abstract
While disorders in lipid metabolism have been associated with aging and age-related diseases, how lipid metabolism is regulated during aging is poorly understood. Here, we characterize the Drosophila endoribonuclease CG2145, an ortholog of mammalian EndoU that we named Age-related lipid regulator (Arlr), as a regulator of lipid homeostasis during aging. In adult adipose tissues, Arlr is necessary for maintenance of lipid storage in lipid droplets (LDs) as flies age, a phenotype that can be rescued by either high-fat or high-glucose diet. Interestingly, RNA-seq of arlr mutant adipose tissues and RIP-seq suggest that Arlr affects lipid metabolism through the degradation of the mRNAs of lipolysis genes - a model further supported by the observation that knockdown of Lsd-1, regucalcin, yip2 or CG5162, which encode genes involved in lipolysis, rescue the LD defects of arlr mutants. In addition, we characterize DendoU as a functional paralog of Arlr and show that human ENDOU can rescue arlr mutants. Altogether, our study reveals a role of ENDOU-like endonucleases as negative regulator of lipolysis.
Collapse
Affiliation(s)
- Xiaowei Sun
- Department of Plant Biosecurity and MARA Key Laboratory of Surveillance and Management for Plant Quarantine Pests, College of Plant Protection, China Agricultural University, Beijing, China
| | - Jie Shen
- Department of Plant Biosecurity and MARA Key Laboratory of Surveillance and Management for Plant Quarantine Pests, College of Plant Protection, China Agricultural University, Beijing, China
| | - Norbert Perrimon
- Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | - Xue Kong
- Department of Plant Biosecurity and MARA Key Laboratory of Surveillance and Management for Plant Quarantine Pests, College of Plant Protection, China Agricultural University, Beijing, China
| | - Dan Wang
- Department of Plant Biosecurity and MARA Key Laboratory of Surveillance and Management for Plant Quarantine Pests, College of Plant Protection, China Agricultural University, Beijing, China.
| |
Collapse
|
24
|
Suorsa K, Gupta N, Leskinen T, Andersen LL, Pasanen J, Hettiarachchi P, Johansson PJ, Pentti J, Vahtera J, Stenholm S. Modifications of 24-h movement behaviors to prevent obesity in retirement: a natural experiment using compositional data analysis. Int J Obes (Lond) 2023; 47:922-930. [PMID: 37221289 PMCID: PMC10511314 DOI: 10.1038/s41366-023-01326-0] [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: 01/03/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND Retirement often leads to a more passive lifestyle and may therefore lead to weight gain. This study aims to investigate longitudinal associations between changes in 24-h movement behaviors and BMI and waist circumference in relation to the transition from work to retirement. METHODS The study population included 213 retiring public sector workers (mean age 63.5 years, standard deviation 1.1) from the Finnish Retirement and Aging study. Before and after retirement participants wore an Axivity accelerometer on their thigh and filled in a daily log for at least four days to measure daily time spent sleeping, in sedentary behavior (SED), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Also, their body mass index (BMI) and waist circumference were measured repeatedly. Compositional linear regression analysis and isotemporal substitution analysis were used to study associations between one-year changes in 24-h movement behaviors and concurrent changes in BMI and waist circumference. RESULTS An increase in MVPA in relation to sleep, SED and LPA was associated with a decreasing BMI (β = -0.60, p = 0.04) and waist circumference (β = -2.14, p = 0.05) over one year from before retirement to after retirement. In contrast, increasing sleep in relation to SED, LPA and MVPA was associated with an increasing BMI (β = 1.34, p = 0.02). Reallocating 60 min from MVPA to SED or sleep was estimated to increase BMI by on average 0.8-0.9 kg/m2 and waist circumference by 3.0 cm during one year. CONCLUSIONS During the transition from work to retirement, increasing MVPA was associated with a slight decrease in BMI and waist circumference, whereas increasing sleep was associated with an increasing BMI. Common life transitions, like retirement, should be considered when giving recommendations and guidance for physical activity and sleep.
Collapse
Affiliation(s)
- Kristin Suorsa
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland.
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
| | - Nidhi Gupta
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Tuija Leskinen
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Lars L Andersen
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Jesse Pasanen
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Pasan Hettiarachchi
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden
| | - Peter J Johansson
- Department of Medical Sciences, Occupational and Environmental Medicine, Uppsala University, Uppsala University Hospital, Uppsala, Sweden
| | - Jaana Pentti
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jussi Vahtera
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Sari Stenholm
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| |
Collapse
|
25
|
Serikawa M, Ambe K, Usami A. Histological observations of age-related changes in the epiglottis associated with decreased deglutition function in older adults. Anat Cell Biol 2023; 56:374-381. [PMID: 37258424 PMCID: PMC10520849 DOI: 10.5115/acb.23.081] [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: 03/22/2023] [Revised: 04/10/2023] [Accepted: 04/14/2023] [Indexed: 06/02/2023] Open
Abstract
Although the epiglottis plays a vital role in deglutition, histological studies of the epiglottis and surrounding ligaments associated with swallowing dysfunction are limited. Therefore, we performed histological observations to clarify age-related changes in the morphological characteristics of the epiglottis and surrounding structures. Tissue samples comprising the epiglottis and surrounding structures were collected from corpses that were both orally fed and tube-fed during their lifetimes. Following hematoxylin and eosin, Elastica Van Gieson, and immunohistochemical staining procedures, the chondrocytes, connective tissue, and glandular tissue were observed under the epiglottis epithelium, and intervening adipose tissue was observed in the surrounding area. Fatty degeneration of acinar cells was also observed in the glandular tissue, possibly because of aging. Bundles of elastic fibers were present around the vascular wall in the peri-epiglottic ligament, but some were reduced. Furthermore, large amounts of collagen fibers ran toward and through the cartilage, whereas the mesh-like elastic fibers stopped in front of the cartilage. Microfibrils considered to be oxytalan fibers, which are thinner and shorter than elastic fibers, were observed around the vascular wall and in the fiber bundles. Age-related changes included connective tissue fibrosis shown by the large amount of collagen fibers, atrophy of salivary glands, and an accompanying increase in adipose tissue. Regarding stretchability and elasticity, the elastic fibers may have an auxiliary function for laryngeal elevation during deglutition. This suggests that disuse atrophy of the laryngeal organs with or without oral intake might reduce the amount of elastic fiber in older adults.
Collapse
Affiliation(s)
- Masamitsu Serikawa
- Department of Morphological Biology, Ohu University School of Dentistry, Koriyama, Japan
| | - Kimiharu Ambe
- Department of Morphological Biology, Ohu University School of Dentistry, Koriyama, Japan
| | - Akinobu Usami
- Department of Morphological Biology, Ohu University School of Dentistry, Koriyama, Japan
| |
Collapse
|
26
|
Guo Y, Zhao H, Wang F, Xu H, Liu X, Hu T, Wu D. Telomere length as a marker of changes in body composition and fractures-an analysis of data from the NHANES 2001-2002. Front Immunol 2023; 14:1181544. [PMID: 37744360 PMCID: PMC10514483 DOI: 10.3389/fimmu.2023.1181544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
Purpose There has been an association between changes in body composition, fracture incidence, and age in previous studies. Telomere length (TL) has been proposed as a biomarker of aging. However, the relationship between body composition, fractures, and TL has rarely been studied. Therefore, this study aimed to investigate the correlation between TL and body composition and fractures.Patients and methods: 20950 participants from the 2001-2002 National Health and Nutrition Examination Survey (NHANES) were included in the final analysis. In NHANES, body compositions were measured with DXA, and TL was determined with quantitative PCR. Correlation analysis of TL and body composition was conducted using multivariate weighted linear regression and logistic regression models. Results The results showed that TL positively correlated with bone mineral density (BMD) and bone mineral content (BMC) in most body parts. However, BMD and BMC were negatively connected with TL in the upper limbs and skull. Fat content was negatively associated with TL, while muscle content was positively linked to TL. In addition, TL's trend analysis results were consistent with the regression model when transformed from a continuous to a classified variable. An increase in TL was associated with a higher incidence of wrist fractures, while a decrease in spine fractures. The above correlation also has a certain degree of sex specificity. Conclusion Our study indicate that TL is associated with body composition as well as fractures, but further research is needed to confirm these contrasting associations in the skull, upper limbs, and wrists.
Collapse
Affiliation(s)
| | | | | | | | | | - Tao Hu
- Department of Spine Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Desheng Wu
- Department of Spine Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China
| |
Collapse
|
27
|
Yang E, Wang J, Woodie LN, Greene MW, Kaddoumi A. Oleocanthal Ameliorates Metabolic and Behavioral Phenotypes in a Mouse Model of Alzheimer's Disease. Molecules 2023; 28:5592. [PMID: 37513464 PMCID: PMC10385639 DOI: 10.3390/molecules28145592] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/15/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
Aging is a major risk factor for Alzheimer's disease (AD). AD mouse models are frequently used to assess pathology, behavior, and memory in AD research. While the pathological characteristics of AD are well established, our understanding of the changes in the metabolic phenotypes with age and pathology is limited. In this work, we used the Promethion cage systems® to monitor changes in physiological metabolic and behavioral parameters with age and pathology in wild-type and 5xFAD mouse models. Then, we assessed whether these parameters could be altered by treatment with oleocanthal, a phenolic compound with neuroprotective properties. Findings demonstrated metabolic parameters such as body weight, food and water intake, energy expenditure, dehydration, and respiratory exchange rate, and the behavioral parameters of sleep patterns and anxiety-like behavior are altered by age and pathology. However, the effect of pathology on these parameters was significantly greater than normal aging, which could be linked to amyloid-β deposition and blood-brain barrier (BBB) disruption. In addition, and for the first time, our findings suggest an inverse correlation between sleep hours and BBB breakdown. Treatment with oleocanthal improved the assessed parameters and reduced anxiety-like behavior symptoms and sleep disturbances. In conclusion, aging and AD are associated with metabolism and behavior changes, with the changes being greater with the latter, which were rectified by oleocanthal. In addition, our findings suggest that monitoring changes in metabolic and behavioral phenotypes could provide a valuable tool to assess disease severity and treatment efficacy in AD mouse models.
Collapse
Affiliation(s)
- Euitaek Yang
- Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 720 S Donahue Dr., Auburn, AL 36849, USA
| | - Junwei Wang
- Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 720 S Donahue Dr., Auburn, AL 36849, USA
| | - Lauren N Woodie
- Department of Nutrition, College of Human Sciences, Auburn University, Auburn, AL 36849, USA
| | - Michael W Greene
- Department of Nutrition, College of Human Sciences, Auburn University, Auburn, AL 36849, USA
| | - Amal Kaddoumi
- Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 720 S Donahue Dr., Auburn, AL 36849, USA
| |
Collapse
|
28
|
Taheri M, Chilibeck PD, Cornish SM. A Brief Narrative Review of the Underlying Mechanisms Whereby Omega-3 Fatty Acids May Influence Skeletal Muscle: From Cell Culture to Human Interventions. Nutrients 2023; 15:2926. [PMID: 37447252 DOI: 10.3390/nu15132926] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/24/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Skeletal muscle is essential for human locomotion as well as maintaining metabolic homeostasis. Age-related reduction in skeletal muscle mass, strength, and function (i.e., sarcopenia) is a result of pathophysiological processes that include inflammation, alteration of molecular signaling for muscle protein synthesis and degradation, changes in insulin sensitivity, as well as altered skeletal muscle satellite cell activity. Finding strategies to mitigate skeletal muscle loss with age is deemed paramount as the percentage of the population continues to shift towards having more older adults with sarcopenia. Recent research indicates omega-3 fatty acid supplementation can influence anabolic or catabolic pathways in skeletal muscle. Our brief review will provide a synopsis of some underlying mechanisms that may be attributed to omega-3 fatty acid supplementation's effects on skeletal muscle. We will approach this review by focusing on cell culture, animal (pre-clinical models), and human studies evaluating omega-3 fatty acid supplementation, with suggestions for future research. In older adults, omega-3 fatty acids may possess some potential to modify pathophysiological pathways associated with sarcopenia; however, it is highly likely that omega-3 fatty acids need to be combined with other anabolic interventions to effectively ameliorate sarcopenia.
Collapse
Affiliation(s)
- Maryam Taheri
- Faculty of Sport Sciences and Health, Shahid Beheshti University, Tehran 19839 69411, Iran
- Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - Philip D Chilibeck
- College of Kinesiology, University of Saskatchewan, Saskatoon, SK S7N 5A9, Canada
| | - Stephen M Cornish
- Faculty of Kinesiology and Recreation Management, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
- Centre on Aging, University of Manitoba, Winnipeg, MB R3E 0J9, Canada
| |
Collapse
|
29
|
Monteiro MRP, Cardoso AP, de Resende-Neto AG, Vasconcelos ABS, Camargo EA, Gobbo LA, Maté-Muñoz JL, Heredia-Elvar JR, Behm DG, Da Silva-Grigoletto ME. Is functional training an efficient approach to improve body composition in older people? A systematic review. Front Physiol 2023; 14:1156088. [PMID: 37405136 PMCID: PMC10315661 DOI: 10.3389/fphys.2023.1156088] [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: 02/01/2023] [Accepted: 05/16/2023] [Indexed: 07/06/2023] Open
Abstract
Introduction: Increases in fat mass and reductions in lean mass are associated with the frailty and mortality of older people. In this context, Functional Training (FT) is an option to increase lean mass and reduce fat mass in older people. Thus, this systematic review aims to investigate the effects of FT on body fat and lean mass in older people. Methods: We included randomized controlled clinical trials, with at least one intervention group that employed FT, with the age of participants ≥60 years; and participants physically independent and healthy. We performed the systematic investigation in Pubmed MEDLINE, Scopus, Web of Science, Cochrane Library, and Google Scholar. We extracted the information and used the PEDro Scale to assess the methodological quality of each study. Results: Our research found 3,056 references with five appropriate studies. Of the five studies, three presented reductions in fat mass, all of them with interventions between three and 6 months, different training dose parameters, and 100% of the sample was composed of women. On the other hand, two studies with interventions between 10 and 12 weeks presented conflicting results. Conclusion: Despite the limited literature about lean mass, it appears that long-term FT interventions may reduce fat mass in older women. Clinical Trial Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=399257, identifier CRD42023399257.
Collapse
Affiliation(s)
- Marcos Raphael Pereira Monteiro
- Department of Physiology, Federal University of Sergipe, São Cristóvão, Brazil
- Department of Physiotherapy, Federal University of Sergipe, Lagarto, Brazil
| | - Alan Pantoja Cardoso
- Department of Physical Education, Federal University of Sergipe, São Cristóvão, Brazil
| | | | | | | | - Luis Alberto Gobbo
- Department of Physical Education, São Paulo State University, Presidente Prudente, Brazil
| | - José Luis Maté-Muñoz
- Department of Radiology, Rehabilitation and Physiotherapy, Complutense University of Madrid, Madrid, Spain
| | - Juan Ramón Heredia-Elvar
- Department of Physical Activity and Sports Science, Alfonso X El Sabio University, Madrid, Spain
| | - David George Behm
- School of Human Kinetics and Recreation, Memorial University of Newfoundland, St. John’s, NL, Canada
| | - Marzo Edir Da Silva-Grigoletto
- Department of Physiology, Federal University of Sergipe, São Cristóvão, Brazil
- Department of Physical Education, Federal University of Sergipe, São Cristóvão, Brazil
- Department of Medicine, Federal University of Sergipe, São Cristóvão, Brazil
| |
Collapse
|
30
|
Vasamsetti SB, Natarajan N, Sadaf S, Florentin J, Dutta P. Regulation of cardiovascular health and disease by visceral adipose tissue-derived metabolic hormones. J Physiol 2023; 601:2099-2120. [PMID: 35661362 PMCID: PMC9722993 DOI: 10.1113/jp282728] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 05/04/2022] [Indexed: 11/08/2022] Open
Abstract
Visceral adipose tissue (VAT) is a metabolic organ known to regulate fat mass, and glucose and nutrient homeostasis. VAT is an active endocrine gland that synthesizes and secretes numerous bioactive mediators called 'adipocytokines/adipokines' into systemic circulation. These adipocytokines act on organs of metabolic importance like the liver and skeletal muscle. Multiple preclinical and in vitro studies showed strong evidence of the roles of adipocytokines in the regulation of metabolic disorders like diabetes, obesity and insulin resistance. Adipocytokines, such as adiponectin and omentin, are anti-inflammatory and have been shown to prevent atherogenesis by increasing nitric oxide (NO) production by the endothelium, suppressing endothelium-derived inflammation and decreasing foam cell formation. By inhibiting differentiation of vascular smooth muscle cells (VSMC) into osteoblasts, adiponectin and omentin prevent vascular calcification. On the other hand, adipocytokines like leptin and resistin induce inflammation and endothelial dysfunction that leads to vasoconstriction. By promoting VSMC migration and proliferation, extracellular matrix degradation and inflammatory polarization of macrophages, leptin and resistin increase the risk of atherosclerotic plaque vulnerability and rupture. Additionally, the plasma concentrations of these adipocytokines alter in ageing, rendering older humans vulnerable to cardiovascular disease. The disturbances in the normal physiological concentrations of these adipocytokines secreted by VAT under pathological conditions impede the normal functions of various organs and affect cardiovascular health. These adipokines could be used for both diagnostic and therapeutic purposes in cardiovascular disease.
Collapse
Affiliation(s)
- Sathish Babu Vasamsetti
- Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA 15213
- Pittsburgh VA Medical Center-University Drive, University Drive C, Pittsburgh, PA, USA
| | - Niranjana Natarajan
- Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA 15213
| | - Samreen Sadaf
- Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA 15213
- Pittsburgh VA Medical Center-University Drive, University Drive C, Pittsburgh, PA, USA
| | - Jonathan Florentin
- Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA 15213
| | - Partha Dutta
- Pittsburgh Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA 15213
- Pittsburgh VA Medical Center-University Drive, University Drive C, Pittsburgh, PA, USA
- Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA, 15213
- Division of Cardiology, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA, 15213
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| |
Collapse
|
31
|
Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
Collapse
Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| |
Collapse
|
32
|
Grapsa I, Mamalaki E, Ntanasi E, Kosmidis MH, Dardiotis E, Hadjigeorgiou GM, Sakka P, Scarmeas N, Yannakoulia M. Longitudinal Examination of Body Mass Index and Cognitive Function in Older Adults: The HELIAD Study. Nutrients 2023; 15:nu15071795. [PMID: 37049637 PMCID: PMC10096583 DOI: 10.3390/nu15071795] [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: 02/26/2023] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 04/14/2023] Open
Abstract
Given the increase in the aging population and thus in the prevalence of dementia, the identification of protective factors against cognitive decline is necessary. In a cohort of 1076 non-demented adults ≥ 65 years old (59.7% women) from the HELIAD study, we assessed whether changes in body mass index (BMI) were associated with changes in cognition over a 3-year follow-up period separately for those ≤ 75 and >75 years old. We identified six BMI trajectory groups based on participants' BMI status at baseline and at the first follow-up visit; normal to normal BMI was the reference group. Major cognitive domains were evaluated, and a composite index reflecting global cognition was calculated. In participants aged ≤75 years, weight loss-moving from obesity to overweight or normal BMI-was associated with less decline in the memory composite score over time (β = 0.141; p = 0.035), while 3-year maintenance of a BMI ≥ 25 kg/m2 was related to greater reduction in the visuospatial composite score over time (β = -0.093; p = 0.020). Regarding participants aged >75 years, 3-year maintenance of a BMI ≥ 30 kg/m2 contributed to a slower rate of decline in the memory composite score over time (β = 0.102; p = 0.042), whereas weight loss-from overweight to normal BMI-was associated with a decreased attention/processing speed composite score longitudinally (β = -0.275; p = 0.043). Our findings indicated that the association between changes in BMI and cognitive functioning was modified by age. Weight management may have the potential to delay cognitive decline in older adults.
Collapse
Affiliation(s)
- Ismini Grapsa
- Department of Nutrition and Dietetics, Harokopio University of Athens, 17671 Athens, Greece
| | - Eirini Mamalaki
- Department of Nutrition and Dietetics, Harokopio University of Athens, 17671 Athens, Greece
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Eva Ntanasi
- Department of Nutrition and Dietetics, Harokopio University of Athens, 17671 Athens, Greece
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Mary H Kosmidis
- Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
| | - Efthimios Dardiotis
- Department of Neurology, Faculty of Medicine, University of Thessaly, 41500 Larissa, Greece
| | | | - Paraskevi Sakka
- Athens Association of Alzheimer's Disease and Related Disorders, 11636 Maroussi, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Eginition Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, The Gertrude H. Sergievsky Center, Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University of Athens, 17671 Athens, Greece
| |
Collapse
|
33
|
Chen J, Li K, Shao J, Lai Z, Feng Y, Liu B. The Correlation of Apolipoprotein B with Alterations in Specific Fat Depots Content in Adults. Int J Mol Sci 2023; 24:ijms24076310. [PMID: 37047284 PMCID: PMC10094599 DOI: 10.3390/ijms24076310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/19/2023] [Accepted: 03/22/2023] [Indexed: 03/30/2023] Open
Abstract
Body mass index (BMI) and blood biomarkers are not enough to predict cardiovascular disease risk. Apolipoprotein B was identified to be associated with cardiovascular disease (CVD) progression. The Dual-energy X-ray Absorption (DXA) results could be considered as a predictor for cardiovascular disease in a more refined way based on fat distribution. The prediction of CVD risk by simple indicators still cannot meet clinical needs. The association of ApoB with specific fat depot features remains to be explored to better co-predict cardiovascular disease risk. An amount of 5997 adults from National Health and Nutrition Examination Survey (NHANES) were enrolled. Their demographic information, baseline clinical condition, blood examination, and DXA physical examination data were collected. Multivariate regression was used to assess the correlation between ApoB and site-specific fat characteristics through different adjusted models. Smooth curve fittings and threshold analysis were used to discover the turning points with 95% confidence intervals. ApoB is positively correlated with arms percent fat, legs percent fat, trunk percent fat, android percent fat, gynoid percent fat, arm circumference and waist circumference after adjustment with covariates for age, gender, race, hypertension, diabetes, hyperlipidemia, coronary heart disease, smoking status and vigorous work activity. The smooth curve fitting and threshold analysis also showed that depot-specific fat had lower turning points of ApoB in both males and females within the normal reference range of ApoB. Meanwhile, females have a lower increase in ApoB per 1% total percent fat and android percent fat than males before the turning points, while females have a higher growth of ApoB per 1% gynoid percent fat than males. The combined specific fat-depot DXA and ApoB analysis could indicate the risk of CVD in advance of lipid biomarkers or DXA alone.
Collapse
|
34
|
Vucic V, Ristic-Medic D, Arsic A, Petrovic S, Paunovic M, Vasiljevic N, Ilich JZ. Nutrition and Physical Activity as Modulators of Osteosarcopenic Adiposity: A Scoping Review and Recommendations for Future Research. Nutrients 2023; 15:nu15071619. [PMID: 37049460 PMCID: PMC10096523 DOI: 10.3390/nu15071619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 03/19/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Osteosarcopenic adiposity (OSA) syndrome denotes the confluence of bone, muscle, and adipose tissue deterioration. Being a complex entity, numerous uncertainties about OSA still exist, despite the extensive research on the topic. Our objectives were to evaluate human studies addressing dietary intake/nutritional status and the quantity/types of physical activity related to OSA. The search in PubMed, Scopus, and Web of Science databases was conducted to examine relevant articles published from inception to the end of December 2022, utilizing the MeSH strings in the search strategy. Only studies published in English and conducted in humans (≥18 years) without chronic conditions (cancers, kidney/liver disease) or pregnancy were used. Book chapters, abstracts-only, and studies in which participants did not have all three body composition components measured to identify OSA or when body composition components could not be related to the independent/exposure variables were excluded. A total of n = 1020 articles were retrieved from all three databases and eight more from the reference lists. After the exclusion of duplicates and other unsuitable articles, n = 23 studies were evaluated. Among those, eleven were from epidemiological or cross-sectional studies relating nutrients/dietary intake or nutritional status with OSA. Another four examined the relationship between serum biomarkers (vitamin D and ferritin) with OSA, while eight articles presented the results of the interventional studies with resistance training. Overall, higher protein, calcium, potassium, and vitamins D and C intakes emerged as nutrients positively modifying OSA, along with a diet higher in fruits and low-fat dairy foods. Higher serum vitamin D and ferritin were respectively positively and negatively related to OSA. Resistance training was a safe intervention yielding several beneficial outcomes for the OSA syndrome in older women.
Collapse
|
35
|
Feng R, Wu S, Li R, Huang K, Zeng T, Zhou Z, Zhong X, Songyang Z, Liu F. mTORC1-induced bone marrow-derived mesenchymal stem cell exhaustion contributes to the bone abnormalities in klotho-deficient mice of premature aging. Stem Cells Dev 2023. [PMID: 36924305 DOI: 10.1089/scd.2022.0243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
Stem cell exhaustion is a hallmark of aging. Klotho-deficient mice (kl/kl mice) is a murine model that mimics human aging with significant bone abnormalities. The aim of this study is using kl/kl mice to investigate the functional change of bone marrow-derived mesenchymal stem cells (BMSCs) and explore the underlying mechanism. We found klotho-deficiency leads to bone abnormalities. In addition, kl/kl BMSCs manifested hyper-active proliferation but functional declined both in vivo and in vitro. mTORC1 activity was higher in freshly isolated kl/kl BMSCs and autophagy in kl/kl BMSCs were significantly decreased, possibly through mTORC1 activation. Conditional medium containing soluble Klotho protein (sKL) rescued hyper-proliferation of kl/kl BMSCs by inhibiting mTORC1 activity and restoring autophagy. Finally, intraperitoneally injection of mTORC1 inhibitor rapamycin restored BMSC quiescence, ameliorated bone phenotype and increased lifespan of kl/kl mice in vivo. This research highlights a therapeutic strategy to maintain the homeostasis of adult stem cell pool for healthy bone aging.
Collapse
Affiliation(s)
- Ran Feng
- Sun Yat-Sen University, 26469, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Guangzhou, Guangdong, China;
| | - Su Wu
- Sun Yat-Sen University, 26469, Guangzhou, China, 510275.,Sun Yat-Sen Memorial Hospital, 56713, Guangzhou, China, 510120;
| | - Ruofei Li
- Sun Yat-Sen University, 26469, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Guangzhou, Guangdong, China;
| | - Kunling Huang
- Sun Yat-Sen University, 26469, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Guangzhou, Guangdong, China;
| | - Ting Zeng
- Sun Yat-Sen Memorial Hospital, 56713, Guangzhou, China;
| | - Zhifen Zhou
- Sun Yat-Sen Memorial Hospital, 56713, Guangzhou, Guangdong, China;
| | - Xiaoqin Zhong
- Sun Yat-Sen University, 26469, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Guangzhou, Guangdong, China;
| | - Zhou Songyang
- Sun Yat-Sen University, 26469, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Guangzhou, Guangdong, China.,Sun Yat-Sen Memorial Hospital, 56713, Guangzhou, Guangdong, China;
| | - Feng Liu
- Sun Yat-Sen University, 26469, MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory of Biocontrol, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Guangzhou, Guangdong, China;
| |
Collapse
|
36
|
de Araujo TA, Oliveira IM, da Silva TGV, da Silva VC, Duarte YADO. Overweight in Older Adults: A Follow-Up of Fifteen Years of the SABE Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5098. [PMID: 36982006 PMCID: PMC10049442 DOI: 10.3390/ijerph20065098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/22/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
Despite extensive research on overweight and obesity, there are few studies that present longitudinal statistical analyses among non-institutionalized older adults, particularly in low- and middle-income countries. This study aimed to assess the prevalence and factors associated with excess weight in older adults from the same cohort over a period of fifteen years. A total of 264 subjects aged (≥60 years) from the SABE survey (Health, Wellbeing and Aging) in the years 2000, 2006, 2010, and 2015 in the city of São Paulo, Brazil, were evaluated. Overweight was assessed by a BMI of ≥28 kg/m2. Multinomial logistic regression models adjusted for sociodemographic and health data were used to assess factors associated with excess weight. After normal weight, overweight was the most prevalent nutritional status in all evaluated periods: 34.02% in 2000 (95%CI: 28.29-40.26); 34.86% in 2006 (95%CI: 28.77-41.49%); 41.38% in 2010 (95%CI: 35.25-47.79); 33.75% in 2015 (95%CI: 28.02-40.01). Being male was negatively associated with being overweight in all years (OR: 0.34 in 2000; OR: 0.36 in 2006; OR: 0.27 in 2010; and OR: 0.43 in 2015). A greater number of chronic diseases and worse functionality were the main factors associated with overweight, regardless of gender, age, marital status, education, physical activity, and alcohol or tobacco consumption. Older adults with overweight and obesity, a greater number of chronic diseases, and difficulties in carrying out daily tasks required a greater commitment to healthcare. Health services must be prepared to accommodate this rapidly growing population in low- and middle-income countries.
Collapse
Affiliation(s)
- Tânia Aparecida de Araujo
- Leônidas and Maria Deane Institute, Fiocruz Amazônia, Manaus 69057-070, Brazil
- Faculty of Public Health, University of São Paulo, São Paulo 01246-904, Brazil
| | | | | | | | | |
Collapse
|
37
|
Association between adiposity and emergent depressive symptoms in a 10-years prospective cohort of older adults: The EpiFloripa Aging study. J Affect Disord 2023; 330:198-205. [PMID: 36907463 DOI: 10.1016/j.jad.2023.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 02/27/2023] [Accepted: 03/06/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND The association between obesity and depressive symptoms has been described in the literature, but there is a scarcity of longitudinal data. This study aimed to verify the association between body mass index (BMI) and waist circumference and the incidence of depressive symptoms over a 10-year follow-up in a cohort of older adults. METHODS Data from the first (2009-2010), second (2013-2014), and third (2017-2019) waves of the EpiFloripa Aging Cohort Study were used. Depressive symptoms were assessed by the 15-item Geriatric Depression Scale (GDS-15) and classified in significant depressive symptoms for those with ≥6 points. The Generalized Estimating Equations model was used to estimate the longitudinal association between BMI and waist circumference and depressive symptoms across a 10-year follow-up. RESULTS The incidence of depressive symptoms (N = 580) was 9.9 %. The relationship between BMI and the incidence of depressive symptoms in older adults followed a U-shaped curve. Older adults with obesity had an incidence relative ratio of 76 % (IRR = 1.24, p = 0.035) for increasing the score of depressive symptoms after 10 years, compared to those with overweight. The higher category of waist circumference (Male: ≥102; Female: ≥88 cm) was associated with depressive symptoms (IRR = 1.09, p = 0.033), only in a non-adjusted analysis. LIMITATIONS Relatively high follow-up dropout rate; Few individuals in the underweight BMI category; BMI must be considered with caution because it does not measure only fat mass. CONCLUSIONS Obesity was associated with the incidence of depressive symptoms when compared with overweight in older adults.
Collapse
|
38
|
Bock-Marquette I, Maar K, Maar S, Lippai B, Faskerti G, Gallyas F, Olson EN, Srivastava D. Thymosin beta-4 denotes new directions towards developing prosperous anti-aging regenerative therapies. Int Immunopharmacol 2023; 116:109741. [PMID: 36709593 DOI: 10.1016/j.intimp.2023.109741] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/28/2023]
Abstract
Our dream of defeating the processes of organ damage and aging remains a challenge scientists pursued for hundreds of years. Although the goal is to successfully treat the body as a whole, steps towards regenerating individual organs are even considered significant. Since initial approaches utilizing only progenitor cells appear limited, we propose interconnecting our collective knowledge regarding aging and embryonic development may lead to the discovery of molecules which provide alternatives to effectively reverse cellular damage. In this review, we introduce and summarize our results regarding Thymosin beta-4 (TB4) to support our hypothesis using the heart as model system. Accordingly, we investigated the developmental expression of TB4 in mouse embryos and determined the impact of the molecule in adult animals by systemically injecting the peptide following acute cardiac infarction or with no injury. Our results proved, TB4 is expressed in the developing heart and promotes cardiac cell migration and survival. In adults, the peptide enhances myocyte survival and improves cardiac function after coronary artery ligation. Moreover, intravenous injections of TB4 alter the morphology of the adult epicardium, and the changes resemble the characteristics of the embryo. Reactivation of the embryonic program became equally reflected by the increased number of cardiac vessels and by the alteration of the gene expression profile typical of the embryonic state. Moreover, we discovered TB4 is capable of epicardial progenitor activation, and revealed the effect is independent of hypoxic injury. By observing the above results, we believe, further discoveries and consequential postnatal administration of developmentally relevant candidate molecules such as TB4 may likely result in reversing aging processes and accelerate organ regeneration in the human body.
Collapse
Affiliation(s)
- Ildiko Bock-Marquette
- Department of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs H-7624, Hungary; Szentagothai Research Centre, Research Group of Regenerative Science, Sport and Medicine, University of Pecs, Pecs H-7624, Hungary.
| | - Klaudia Maar
- Department of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs H-7624, Hungary; Szentagothai Research Centre, Research Group of Regenerative Science, Sport and Medicine, University of Pecs, Pecs H-7624, Hungary
| | - Szabolcs Maar
- Department of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs H-7624, Hungary; Szentagothai Research Centre, Research Group of Regenerative Science, Sport and Medicine, University of Pecs, Pecs H-7624, Hungary
| | - Balint Lippai
- Department of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs H-7624, Hungary; Szentagothai Research Centre, Research Group of Regenerative Science, Sport and Medicine, University of Pecs, Pecs H-7624, Hungary
| | - Gabor Faskerti
- Department of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs H-7624, Hungary; Szentagothai Research Centre, Research Group of Regenerative Science, Sport and Medicine, University of Pecs, Pecs H-7624, Hungary
| | - Ferenc Gallyas
- Department of Biochemistry and Medical Chemistry, University of Pecs, Medical School, Pecs H-7624, Hungary; Szentagothai Research Centre, Research Group of Regenerative Science, Sport and Medicine, University of Pecs, Pecs H-7624, Hungary
| | - Eric N Olson
- Department of Molecular Biology, Hamon Center for Regenerative Science and Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Deepak Srivastava
- Gladstone Institute of Cardiovascular Disease and Roddenberry Stem Cell Center, Department of Biochemistry & Biophysics, University of California San Francisco, San Francisco, CA 94158, USA
| |
Collapse
|
39
|
Peters JC, Breen JA, Pan Z. Effects of Culinary Spices on Liking and Consumption of Protein Rich Foods in Community-Dwelling Older Adults. Nutrients 2023; 15:nu15051172. [PMID: 36904171 PMCID: PMC10005771 DOI: 10.3390/nu15051172] [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: 02/02/2023] [Revised: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 03/03/2023] Open
Abstract
Insufficient protein intake is a common challenge among older adults, leading to loss of muscle mass, decreased function and reduced quality of life. A protein intake of 0.4 g/kg body weight/meal is recommended to help prevent muscle loss. The purpose of this study was to assess whether the protein intake of 0.4 g/kg body weight/meal could be achieved with typical foods and whether culinary spices could enhance protein intake. A lunch meal test was conducted in 100 community-dwelling volunteers; 50 were served a meat entrée and 50 were served a vegetarian entrée with or without added culinary spices. Food consumption, liking and perceived flavor intensity were assessed using a randomized, two-period, within subjects crossover design. Within the meat or vegetarian treatments, there were no differences in entrée or meal intakes between spiced and non-spiced meals. Participants fed meat consumed 0.41 g protein/kg body weight/meal, while the vegetarian intake was 0.25 g protein/kg body weight/meal. The addition of spice to the vegetarian entrée significantly increased liking and flavor intensity of both the entrée and the entire meal, while spice addition only increased flavor for the meat offering. Culinary spices may be a useful tool to improve the liking and flavor of high-quality protein sources among older adults, especially when used with plant-based foods, although improving liking and flavor alone are insufficient to increase protein intake.
Collapse
Affiliation(s)
- John C. Peters
- Anschutz Health and Wellness Center, 12348 E. Montview Blvd., MailStop C263, Aurora, CO 80045, USA
- Division of Endocrinology, Diabetes and Metabolism, University of Colorado Denver, Anschutz Medical Campus, 12801 E. 17th Ave., RC1 South Rm 7103, Aurora, CO 80045, USA
- Correspondence:
| | - Jeanne Anne Breen
- Anschutz Health and Wellness Center, 12348 E. Montview Blvd., MailStop C263, Aurora, CO 80045, USA
| | - Zhaoxing Pan
- Department of Pediatrics, University of Colorado Denver, Anschutz Medical Campus, 13123 E. 16th Ave., B065, Aurora, CO 80045, USA
| |
Collapse
|
40
|
Varol U, Navarro-Santana MJ, Gómez-Sánchez S, Plaza-Manzano G, Sánchez-Jiménez E, Valera-Calero JA. Inter-Examiner Disagreement for Assessing Cervical Multifidus Ultrasound Metrics Is Associated with Body Composition Features. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23031213. [PMID: 36772252 PMCID: PMC9921918 DOI: 10.3390/s23031213] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/06/2023] [Accepted: 01/18/2023] [Indexed: 05/28/2023]
Abstract
Ultrasound imaging (US) is a biosensing technique that is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics, such as muscle morphology and quality. Since all biosensors need to be tested in order to demonstrate their reliability, accuracy, sensitivity, and specificity, identifying factors that affect their diagnostic accuracy is essential. Since previous studies analyzed the impact of sociodemographic but not body composition characteristics in US errors, this study aimed to assess whether body composition metrics are associated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the L5 level were acquired and analyzed in 47 healthy volunteers by two examiners (one experienced and one novice). The cross-sectional area, muscle perimeter, and mean echo intensity were calculated bilaterally. A correlation analysis and a multivariate linear regression model were used for assessing the inter-examiner differences with respect to body composition metrics. The results demonstrated good-to-excellent reliability estimates for the cross-sectional area, muscle perimeter, aspect ratio, roundness, circularity, and mean brightness metrics (all ICC > 0.85). However, solidity showed unacceptable reliability (ICC < 0.7). Age, height, total lean mass, trunk lean mass, and water volume were associated with inter-examiner disagreement on mean echo intensity. Cross-sectional area, perimeter, and roundness measurement errors were associated with lean mass and water volume.
Collapse
Affiliation(s)
- Umut Varol
- Escuela Internacional de Doctorado, Universidad Rey Juan Carlos, 29222 Alcorcón, Spain
| | | | - Sonia Gómez-Sánchez
- Faculty of Health, Universidad Católica de Ávila, C/Canteros, s/n, 05005 Ávila, Spain
| | - Gustavo Plaza-Manzano
- Department of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Grupo InPhysio, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Elena Sánchez-Jiménez
- Faculty of Health, Universidad Católica de Ávila, C/Canteros, s/n, 05005 Ávila, Spain
| | - Juan Antonio Valera-Calero
- Department of Radiology, Rehabilitation and Physiotherapy, Universidad Complutense de Madrid, 28040 Madrid, Spain
- Grupo InPhysio, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| |
Collapse
|
41
|
Osteosarcopenic Adiposity and Nutritional Status in Older Nursing Home Residents during the COVID-19 Pandemic. Nutrients 2023; 15:nu15010227. [PMID: 36615884 PMCID: PMC9824423 DOI: 10.3390/nu15010227] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/25/2022] [Accepted: 12/28/2022] [Indexed: 01/04/2023] Open
Abstract
The aim was to evaluate body composition and prevalence of osteosarcopenic adiposity (OSA) in nursing home residents (NHR) and to assess their nutritional status. This research builds on our pilot study (conducted prior COVID-19 pandemic) that revealed high OSA prevalence and poor nutritional status in NHR. The current study included newly recruited n = 365 NHR; 296 women, 69 men, aged 84.3 ± 5.6 and 83.1 ± 7.3 years, respectively. Body composition was measured by bioelectrical impedance BIA-ACC®, yielding total bone mass along with all components of lean and adipose tissues. The Mini Nutritional Assessment-Short Form (MNA-SF) was used to assess nutritional status. Participants reported about their present/past diseases, including COVID-19. Mean duration of stay in nursing homes was 46.3 ± 47.0 months. Approximately 30% of participants had COVID-19 prior (median 6.7 months) to entering the study. OSA was diagnosed in 70.8% women and 47.8% men (p < 0.001). Malnourishment was detected in 5.8% women and 6.2% men while the risk of malnourishment was found in 30.8% women and 30.0% men. No significant differences in age, body composition parameters, prevalence of OSA, malnutrition/risk for malnutrition were found in participants who had COVID-19 compared to those who did not. Regression analysis showed that intramuscular adipose tissue (%) was significantly positively, while bone mass was significantly negatively associated with OSA. In this population, the high prevalence of OSA coincided with the high prevalence of malnutrition/risk of malnutrition. Such unfavorable body composition status is more likely a consequence of potentially poor diet quality in nursing homes, rather than of health hazards caused by COVID-19.
Collapse
|
42
|
Lengelé L, Grande de França NA, Rolland Y, Guyonnet S, de Souto Barreto P. Body Composition, Physical Function, and Dietary Patterns in People from 20 to Over 80 Years Old. J Nutr Health Aging 2023; 27:1047-1055. [PMID: 37997727 DOI: 10.1007/s12603-023-2025-7] [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: 05/19/2023] [Accepted: 10/16/2023] [Indexed: 11/25/2023]
Abstract
OBJECTIVES Diet may influence biochemical pathways involved in age-related changes in body composition and physical function. This study aimed to describe dietary patterns and their relationships with body composition, physical performance, and grip strength according to age and sex. DESIGN Cross-sectional study. SETTING Data were collected in the Clinical Research Center (CRC) of the Gérontopôle of the Centre Hospitalier Universitaire (CHU) of Toulouse or at participants' homes when unable to attend the research facilities. PARTICIPANTS 470 (63% female) people with a median age of 56 (38 - 70) years. MEASUREMENTS The "Mediterranean-like" (i.e., plant-based foods, dairy), "Animal products" (i.e., meat, processed meat, butter, refined starch), and "Sugar and fast food" (i.e., ultra-processed and sugary foods) dietary patterns were extracted by principal component analysis. Total and trunk fat mass indexes (kg/m²), and total and appendicular lean mass indexes (kg/m²) were assessed by DXA. The physical tests comprised gait speed (m/sec), chair rise (sec), the Short Physical Performance Battery test (/12 points), and handgrip strength (kg). The associations were explored through multivariate linear regressions by sex and age groups: ≥20 to <50, ≥50 to <65, and ≥65 years. RESULTS Men and women had higher adherence to the "Sugar and fast food" diet in the youngest group. Middle-aged and older women adhered more to a "Mediterranean-like" diet. Men kept a "Sugar and fast food" diet when middle-aged and changed to the "Animal products" diet when ≥65 years. Higher adherence to the "Mediterranean-like" diet was associated with lower BMI, body fat, and lean mass in middle-aged men. Higher adherence to the "Animal products" diet was associated with higher lean mass in middle-aged women, more trunk fat in young men, lower strength in middle-aged men, and higher strength in older men. Higher adherence to the "Sugar and fast food" diet was associated with higher body fat in middle-aged men but lower body fat in older men. CONCLUSION Diets composed of sugary foods, fast foods, and processed meat were associated with higher fat mass and lower strength. Men were more prone to have less healthy food intake in all age groups.
Collapse
Affiliation(s)
- L Lengelé
- Laetitia Lengelé, Gérontopôle of Toulouse, Institute on Aging, Toulouse University Hospital (CHU Toulouse), Toulouse, France,
| | | | | | | | | |
Collapse
|
43
|
Cui Z, Zhang W, Le X, Song K, Zhang C, Zhao W, Sha L. Analyzing network pharmacology and molecular docking to clarify Duhuo Jisheng decoction potential mechanism of osteoarthritis mitigation. Medicine (Baltimore) 2022; 101:e32132. [PMID: 36550856 PMCID: PMC9771196 DOI: 10.1097/md.0000000000032132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
As a classic remedy for treating Osteoarthritis (OA), Duhuo Jisheng decoction has successfully treated countless patients. Nevertheless, its specific mechanism is unknown. This study explored the active constituents of Duhuo Jisheng decoction and the potential molecular mechanisms for treating OA using a Network Pharmacology approaches. Screening active components and corresponding targets of Duhuo parasite decoction by traditional Chinese medicine systems pharmacology database and analysis platform database. Combining the following databases yielded OA disease targets: GeneCards, DrugBank, PharmGkb, Online Mendelian Inheritance in Man, and therapeutic target database. The interaction analysis of the herb-active ingredient-core target network and protein-protein interaction protein network was constructed by STRING platform and Cytoscape software. Gene ontology functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were carried out. PyMOL and other software were used to verify the molecular docking between the essential active components and the core target. 262 active ingredients were screened, and their main components were quercetin, kaempferol, wogonin, baicalein, and beta-carotene. 108 intersection targets of disease and drug were identified, and their main components were RELA, FOS, STAT3, MAPK14, MAPK1, JUN, and ESR1. Gene ontology analysis showed that the key targets were mainly involved in biological processes such as response to lipopolysaccharide, response to xenobiotic stimulus, and response to nutrient levels. The results of Kyoto Encyclopedia of Genes and Genomes analysis show that the signal pathways include the AGE - RAGE signaling pathway, IL - 17 signaling pathway, TNF signaling pathway, and Toll - like receptor signaling pathway. Molecular docking showed that the main active components of Duhuo parasitic decoction had a good bonding activity with the key targets in treating OA. Duhuo Jisheng decoction can reduce the immune-inflammatory reaction, inhibit apoptosis of chondrocytes, strengthen proliferation and repair of chondrocytes and reduce the inflammatory response in a multi-component-multi-target-multi-pathway way to play a role in the treatment of OA.
Collapse
Affiliation(s)
- Zhenhai Cui
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Weidong Zhang
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Xuezhen Le
- The Third Affiliated Hospital of the Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Kunyu Song
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Chunliang Zhang
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Wenhai Zhao
- Affiliated Hospital of the Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Liquan Sha
- The Third Affiliated Hospital of the Changchun University of Chinese Medicine, Changchun, Jilin, China
- * Correspondence: Liquan Sha, Affiliated Hospital of the Changchun University of Chinese Medicine, Changchun, Jilin, China (e-mail: )
| |
Collapse
|
44
|
Manková D, Novák J, Sedlak P, Andrlíková Farkova E. The circadian preferences in the context of sociodemographic indicators and lifestyle. Chronobiol Int 2022; 39:1574-1589. [PMID: 36342233 DOI: 10.1080/07420528.2022.2134786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Circadian preferences are frequently used as a synonym for chronotype. Both terms are based on different principles and are measured by a variant questionnaire. We focused on circadian preferences, delimited as an individual preference for the timing of various activities, and their relationship to the selected sociodemographic factors. All participants (n = 2068) filled out online questionnaires including MEQ, MCTQ, and sociodemographic information (age, sex, place of residence, marital status, childcare, education, financial security, physical and mental health). Although the concept of chronotype and circadian preference differ, the mutual correlation was high. Our results of the observed variables are similar to other studies. We revealed evening preference is related to a higher probability of living in a big city, having a single life, a higher risk of smoking, worse health status, and worse financial security. We observed a higher social jet lag among them. Our research complies with previous studies, which found that in some areas, people with evening preferences evince worse results. Due to the evening preference, these people are at a disadvantage, and the society's setting for morning operations can lead to a deepening of these differences. We recommend further research, which would focus on the practical application of results to the everyday life of participants to create preventive programs aimed at reducing the negative impact of evening preferences on life.
Collapse
Affiliation(s)
- Denisa Manková
- Sleep and Chronobiology Research Centre, National Institute of Mental Health, Klecany, Czech Republic
| | - Jan Novák
- Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
| | - Petr Sedlak
- Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic
| | - Eva Andrlíková Farkova
- Sleep and Chronobiology Research Centre, National Institute of Mental Health, Klecany, Czech Republic
| |
Collapse
|
45
|
Beeri MS, Tirosh A, Lin H, Golan S, Boccara E, Sano M, Zhu CW. Stability in BMI over time is associated with a better cognitive trajectory in older adults. Alzheimers Dement 2022; 18:2131-2139. [PMID: 35049119 PMCID: PMC9296696 DOI: 10.1002/alz.12525] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 10/05/2021] [Accepted: 10/12/2021] [Indexed: 01/31/2023]
Abstract
OBJECTIVE Evidence on simultaneous changes in body mass index (BMI) and cognitive decline, which better reflect the natural course of both health phenomena, is limited. METHODS We capitalized on longitudinal data from 15,977 initially non-demented elderly from the Alzheimer's Disease Centers followed for 5 years on average. Changes in BMI were defined as (1) last minus first BMI, (2) mean of all follow-up BMIs minus first BMI, and (3) standard deviation of BMI change from baseline and all follow-up visits (representing variability). RESULTS Participants with significant changes in BMI (increase or decrease of ≥5%), or who had greater variability in BMI, had faster cognitive decline. This pattern was consistent irrespective of normal (BMI < 25; N = 5747), overweight (25 ≤ BMI < 30; N = 6302), or obese (BMI ≥ 30; N = 3928) BMI at baseline. CONCLUSIONS Stability in BMI predicts better cognitive trajectories suggesting clinical value in tracking BMI change, which is simple to measure, and may point to individuals whose cognition is declining.
Collapse
Affiliation(s)
- Michal Schnaider Beeri
- Department of PsychiatryThe Icahn School of Medicine at Mount SinaiNew YorkUSA,The Joseph Sagol Neuroscience CenterSheba Medical CenterRamat GanIsrael
| | - Amir Tirosh
- Division of EndocrinologyDiabetes and MetabolismSheba Medical CenterRamat GanIsrael
| | - Hung‐Mo Lin
- Department of Health Population Sciences and PolicyCenter of BiostatisticsIcahn School of MedicineMount SinaiUSA
| | - Sapir Golan
- The Joseph Sagol Neuroscience CenterSheba Medical CenterRamat GanIsrael
| | - Ethel Boccara
- The Joseph Sagol Neuroscience CenterSheba Medical CenterRamat GanIsrael
| | - Mary Sano
- Department of PsychiatryThe Icahn School of Medicine at Mount SinaiNew YorkUSA,GRECCJames J Peters VA Medical CenterBronxNew YorkUSA
| | - Carolyn W. Zhu
- Brookdale Department of Geriatrics and Palliative MedicineIcahn School of MedicineMount SinaiUSA,GRECCJames J Peters VA Medical CenterBronxNew YorkUSA
| |
Collapse
|
46
|
Ren Q, Chen S, Chen X, Niu S, Yue L, Pan X, Li Z, Chen X. An Effective Glucagon-Like Peptide-1 Receptor Agonists, Semaglutide, Improves Sarcopenic Obesity in Obese Mice by Modulating Skeletal Muscle Metabolism. Drug Des Devel Ther 2022; 16:3723-3735. [PMID: 36304787 PMCID: PMC9594960 DOI: 10.2147/dddt.s381546] [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: 07/07/2022] [Accepted: 10/11/2022] [Indexed: 11/05/2022] Open
Abstract
Purpose This study aimed to investigate the effect of Semaglutide on skeletal muscle and its metabolomics. Methods A total of 18 male C57BL/6 mice were randomly divided into normal control (NC) group, high-fat diet (HFD) group and HFD+Semaglutide group, and were given standard diet, HFD diet, HFD diet plus Semaglutide, respectively. The body weight, gastrocnemius weight, serum lipid, blood glucose and inflammatory index levels of mice in each group were observed and compared, and the morphological and structural changes of gastrocnemius were also analyzed. Meanwhile, gastrocnemius metabolite changes were analyzed by untargeted metabolomics. Results After Semaglutide treatment, the food intake and body weight of mice were evidently decreased, while the relative gastrocnemius weight ratio were conversely increased. Meanwhile, the levels of TG, CHO, LDL, HDL, TNF-α, IL-6, IL-1β and HOMA-IR were all observed to decrease remarkably after Semaglutide intervention. Histological analysis showed that Semaglutide significantly improved the pathological changes of gastrocnemius, manifested as increased type I/type II muscle fiber ratio, total muscle fiber area, muscle fiber density, sarcomere length, mitochondrial number and mitochondrial area. Furthermore, metabolic changes of gastrocnemius after Semaglutide intervention were analyzed, and 141 kinds of differential metabolites were screened out, mainly embodied in lipids and organic acids, and enriched in 9 metabolic pathways including a variety of amino acids. Conclusion Semaglutide can significantly reduce the body weight and the accumulation of intramuscular fat, promote muscle protein synthesis, increase the relative proportion of skeletal muscle, and improve muscle function of obese mice, possibly by altering the metabolism of muscle lipids and organic acids.
Collapse
Affiliation(s)
- Qingjuan Ren
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China,Department of Geriatrics, Shijiazhuang People’s Hospital, Shijiazhuang, 050000, People’s Republic of China
| | - Shuchun Chen
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China,Department of Endocrinology, Hebei General Hospital, Shijiazhuang, 050000, People’s Republic of China,Correspondence: Shuchun Chen, Department of Endocrinology, Hebei General Hospital, No. 348, Heping West Road, Shijiazhuang, 050000, People’s Republic of China, Tel +86-13833166283, Email
| | - Xing Chen
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China
| | - Shu Niu
- Department of Endocrinology, Shijiazhuang People’s Hospital, Shijiazhuang, 050000, People’s Republic of China
| | - Lin Yue
- Department of Endocrinology, The Third Hospital of Shijiazhuang, Shijiazhuang, 050000, People’s Republic of China
| | - Xiaoyu Pan
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China
| | - Zelin Li
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China
| | - Xiaoyi Chen
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, 050000, People’s Republic of China
| |
Collapse
|
47
|
Vajda M, Oreská Ľ, Černáčková A, Čupka M, Tirpáková V, Cvečka J, Hamar D, Protasi F, Šarabon N, Zampieri S, Löfler S, Kern H, Sedliak M. Aging and Possible Benefits or Negatives of Lifelong Endurance Running: How Master Male Athletes Differ from Young Athletes and Elderly Sedentary? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13184. [PMID: 36293774 PMCID: PMC9602696 DOI: 10.3390/ijerph192013184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/15/2022] [Accepted: 08/22/2022] [Indexed: 06/16/2023]
Abstract
Regular physical activity, recommended by the WHO, is crucial in maintaining a good physical fitness level and health status and slows down the effects of aging. However, there is a lack of knowledge of whether lifelong endurance running, with a volume and frequency above the WHO limits, still brings the same benefits, or several negative effects too. The present study aims to examine the protentional benefits and risks of lifelong endurance running training in Master male athletes, as this level of physical activity is above the WHO recommendations. Within the study, four main groups of participants will be included: (1) endurance-trained master athletes, (2) endurance-trained young athletes, (3) young sedentary adults, and (4) elderly sedentary. Both groups of athletes are strictly marathon runners, who are still actively running. The broad spectrum of the diagnostic tests, from the questionnaires, physical fitness testing, and blood sampling to muscle biopsy, will be performed to obtain the possibility of complexly analyzing the effects of lifelong endurance physical activity on the human body and aging. Moreover, the study will try to discover and explain new relationships between endurance running and diagnostic parameters, not only within aging.
Collapse
Affiliation(s)
- Matej Vajda
- Hamar Institute for Human Performance, Faculty of Physical Education and Sports, Comenius University in Bratislava, 814 69 Bratislava, Slovakia
| | - Ľudmila Oreská
- Department of Biological and Medical Sciences, Faculty of Physical Education and Sports, Comenius University in Bratislava, 814 69 Bratislava, Slovakia
| | - Alena Černáčková
- Department of Biological and Medical Sciences, Faculty of Physical Education and Sports, Comenius University in Bratislava, 814 69 Bratislava, Slovakia
| | - Martin Čupka
- Department of Biological and Medical Sciences, Faculty of Physical Education and Sports, Comenius University in Bratislava, 814 69 Bratislava, Slovakia
| | - Veronika Tirpáková
- Institute of Sports Medicine, Faculty of Medicine, Slovak Medical University, 831 01 Bratislava, Slovakia
| | - Ján Cvečka
- Hamar Institute for Human Performance, Faculty of Physical Education and Sports, Comenius University in Bratislava, 814 69 Bratislava, Slovakia
| | - Dušan Hamar
- Department of Biological and Medical Sciences, Faculty of Physical Education and Sports, Comenius University in Bratislava, 814 69 Bratislava, Slovakia
| | - Feliciano Protasi
- Center for Advanced Studies and Technology (CAST), University G. D’Annunzio of Chieti-Pescara, 66100 Chieti, Italy
| | - Nejc Šarabon
- Faculty of Health Sciences, University of Primorska, SI-6310 Izola, Slovenia
- Human Health Department, InnoRenew CoE, SI-6310 Izola, Slovenia
- Laboratory for Motor Control and Motor Behavior, S2P, Science to Practice, Ltd., SI-1000 Ljubljana, Slovenia
| | - Sandra Zampieri
- Department of Biomedical Sciences, University of Padova, 35131 Padova, Italy
- Department of Surgery, Oncology, and Gastroenterology, University of Padova, 35128 Padova, Italy
| | - Stefan Löfler
- Ludwig Boltzmann Institute for Rehabilitation Research, 1100 Vienna, Austria
- Institute for Physical Medicine, Physik und Rheumatherapie, 3100 St. Pölten, Austria
| | - Helmut Kern
- Ludwig Boltzmann Institute for Rehabilitation Research, 1100 Vienna, Austria
- Institute for Physical Medicine, Physik und Rheumatherapie, 3100 St. Pölten, Austria
- Institute of Physical Medicine and Rehabilitation, 3300 Amstetten, Austria
| | - Milan Sedliak
- Department of Biological and Medical Sciences, Faculty of Physical Education and Sports, Comenius University in Bratislava, 814 69 Bratislava, Slovakia
| |
Collapse
|
48
|
Shen WD, Lin X, Liu HM, Li BY, Qiu X, Lv WQ, Zhu XZ, Greenbaum J, Liu RK, Shen J, Xiao HM, Deng HW. Gut microbiota accelerates obesity in peri-/post-menopausal women via Bacteroides fragilis and acetic acid. Int J Obes (Lond) 2022; 46:1918-1924. [PMID: 35978102 DOI: 10.1038/s41366-022-01137-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/25/2022] [Accepted: 04/28/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVE Many animal experiments and epidemiological studies have shown that the gut microbiota (GM) plays an important role in the development of obesity, but the specific biological mechanism involved in the pathogenesis of disease remain unknown. We aimed to examine the relationships and functional mechanisms of GM on obesity in peri- and post-menopausal women. METHODS We recruited 499 Chinese peri- and post-menopausal women and performed comprehensive analyses of the gut microbiome, targeted metabolomics for short-chain fatty acids in serum, and host whole-genome sequencing by various association analysis methods. RESULTS Through constrained linear regression analysis, we found that an elevated abundance of Bacteroides fragilis (B. fragilis) was associated with obesity. We also found that serum levels of acetic acid were negatively associated with obesity, and that B. fragilis was negatively associated with serum acetic acid levels by partial Spearman correlation analysis. Mendelian randomization analysis indicated that B. fragilis increases the risk of obesity and may causally down-regulate acetic acid levels. CONCLUSIONS We found the gut with B. fragilis may accelerate obesity, in part, by suppressing acetic acid levels. Therefore, B. fragilis and acetic acid may represent important therapeutic targets for obesity intervention in peri- and post-menopausal women.
Collapse
Affiliation(s)
- Wen-Di Shen
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Xu Lin
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Hui-Min Liu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Bo-Yang Li
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Xiang Qiu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Wan-Qiang Lv
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Xue-Zhen Zhu
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China
| | - Jonathan Greenbaum
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Rui-Ke Liu
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, 510630, China
| | - Jie Shen
- Shunde Hospital of Southern Medical University (The First People's Hospital of Shunde), No.1 of Jiazi Road, Lunjiao, Shunde District, Foshan, 528300, Guangdong, China
| | - Hong-Mei Xiao
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, 410013, Hunan, PR China.
| | - Hong-Wen Deng
- Tulane Center of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
| |
Collapse
|
49
|
Moga TD, Moga I, Sabău M, Venter AC, Romanescu D, Bimbo-Szuhai E, Costas LM, Huniadi A, Rahota DM. Evaluation of Geriatric Sarcopenia and Nutrition in the Case of Cachexia before Exitus: An Observational Study for Health Professionals. Geriatrics (Basel) 2022; 7:geriatrics7050102. [PMID: 36286205 PMCID: PMC9602337 DOI: 10.3390/geriatrics7050102] [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: 09/01/2022] [Revised: 09/09/2022] [Accepted: 09/14/2022] [Indexed: 11/16/2022] Open
Abstract
It is important to assess the physical and nutritional status of the body using a bioelectrical impedance analyzer (BIA) in patients with cachexia; however, the correlation between cachexia and nutritional evaluations remains unclear. The objective of this study is to follow the effects of diet therapy in patients with cachexia/sarcopenia, using parameters measured by BIA, clinical parameters, and other nutrition-related assessments in patients with osteoporosis. This study aims to clarify the correlation between BIA-measured parameters, clinical parameters, and other nutrition-related assessments. Methods: Measurements of body composition, a clinical assessment of the sarcopenia/cachexia, and nutritional goal setting/a nutrition care process were performed. Results: The number of subjects was 200, of which 15 people (7.5%) were diagnosed with sarcopenia/cachexia. Univariate analyses showed that participants with a high body-fat mass tend to develop sarcopenic obesity (p = 0.029), those who lost a significant and progressive amount of muscle mass tend to develop sarcopenia (p = 0.001), as well as those with malnutrition (p < 0.001). The regression study shows not only the correlation but also the cause of the correlation, as is the case with obesity. As obesity increases, so does the sarcopenic index (this can explain sarcopenic obesity), and as fat mass decreases it leads to muscle mass loss, increasing the risk of cachexia with age. Conclusions: There was an improvement, but statistically insignificant, in cachexia and the nutritional objectives (p > 0.05); at the same time, correlations were established between the independent parameters (sex, age) and malnutrition parameters (hemoglobin and amylase) with the parameters of the research.
Collapse
Affiliation(s)
- Titus David Moga
- Departmen of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
| | - Ioana Moga
- Departmen of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
- Correspondence: (I.M.); (M.S.)
| | - Monica Sabău
- Department of Psycho Neuroscience and Recovery, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
- Correspondence: (I.M.); (M.S.)
| | - Alina Cristiana Venter
- Departmen of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
| | - Dana Romanescu
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
| | - Erika Bimbo-Szuhai
- Departmen of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
| | - Lavinia Mihaela Costas
- Departmen of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
| | - Anca Huniadi
- Department of Surgical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
| | - Diana Maria Rahota
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania
| |
Collapse
|
50
|
Rossini-Venturini AC, Abdalla PP, Fassini PG, dos Santos AP, Tasinafo Junior MF, Alves TC, Gomide EBG, de Pontes TL, Pfrimer K, Ferriolli E, Mota J, Beltran-Valls MR, Machado DRL. Association between classic and specific bioimpedance vector analysis and sarcopenia in older adults: a cross-sectional study. BMC Sports Sci Med Rehabil 2022; 14:170. [PMID: 36104722 PMCID: PMC9476257 DOI: 10.1186/s13102-022-00559-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/25/2022] [Indexed: 11/10/2022] Open
Abstract
Background To verify (1) the association between classic and specific bioelectrical impedance vector analysis (BIVA) with body composition, hydration, and physical performance in older adults with and without sarcopenia; (2) which BIVA most accurately distinguishes sarcopenia. Methods A sample of 94 older adults with and without sarcopenia (29 men and 65 women, 60–85 years) was evaluated. The classic and specific BIVA procedures, Dual energy X-ray absorptiometry (DXA), and deuterium dilution were performed. Sarcopenia was defined by muscle weakness and low skeletal muscle index, while severity was indicated by low physical performance. Results The BIVA's potential to monitor hydration and muscle mass loss in older adults seems feasible. Classic and specific BIVA were able to distinguish sarcopenia in women (p < 0.001), but not in men. When the sarcopenia criteria were individually analyzed, both classic and specific BIVA were able to distinguish low skeletal muscle index in women, while only classic BIVA did for men. For the criterion of slow physical performance, only the classic BIVA showed severity differences for women. The vectors of adults without sarcopenia of both sexes tended to be positioned in the left region of the ellipses, revealing a predominance of soft tissues. Conclusions Classic BIVA has a distinct sarcopenic association with body composition, hydration, and physical performance in older adults, while specific BIVA was similar between groups. Both BIVAs are sensible to detect female morphological changes (skeletal muscle index) but not for functional (handgrip, 6-min walk test) sarcopenia criteria. These procedures are promising tools for monitoring sarcopenia risks during aging.
Collapse
|