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Chan WC, Millwood I, Kartsonaki C, Du H, Schmidt D, Stevens R, Chen J, Pei P, Yu C, Sun D, Lv J, Han X, Li L, Chen Z, Yang L, for the China Kadoorie Biobank (CKB) Collaborative Group. Adiposity and risks of gastrointestinal cancers: A 10-year prospective study of 0.5 million Chinese adults. Int J Cancer 2025; 156:2094-2106. [PMID: 39737804 PMCID: PMC11970548 DOI: 10.1002/ijc.35303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 10/17/2024] [Accepted: 10/29/2024] [Indexed: 01/01/2025]
Abstract
Associations of adiposity with risks of oesophageal squamous cell carcinoma (ESCC) and non-cardia stomach cancer, both prevalent in China, are still inconclusive. While adiposity is an established risk factor for colorectal cancer, the relevance of fat-free mass and early-adulthood adiposity remains to be explored. The prospective China Kadoorie Biobank study included 0.5 million adults (aged 30-79 years) from 10 areas in China. Participants' body size and composition were measured at baseline and at resurveys (amongst a subset). After >10 years of follow-up, 2350, 3345 and 3059 incident cases of oesophageal (EC), stomach (SC) and colorectal (CRC) cancers were recorded, respectively. Cox regression was used to estimate hazard ratios (HRs) for these cancers in relation to different adiposity traits. General and central adiposity were inversely associated with EC (primarily ESCC) risk, with HRs of 0.81 (95% CI 0.77-0.85), 0.76 (0.72-0.81) and 0.87 (0.83-0.92) per SD increase in usual levels of BMI, body fat percentage (BF%) and waist circumference (WC), respectively. Adiposity was also inversely associated with SC risk [HR = 0.79 (0.75-0.83) and 0.88 (0.84-0.92) per SD increase in usual BF% and WC], with heterogeneity by cardia and non-cardia subsites, and positively associated with CRC [HR = 1.09 (1.03-1.15) and 1.17 (1.12-1.22) per SD higher usual BF% and WC]. Fat-free mass was inversely associated with EC [HR = 0.93 (0.89-0.98) per SD increase] but positively associated with CRC [1.09 (1.04-1.14)], while BMI at age 25 was positively associated with all three cancers. After mutual adjustment, general adiposity remained inversely associated with EC and SC, while central adiposity remained positively associated with CRC.
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Affiliation(s)
- Wing Ching Chan
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Iona Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Christiana Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Huaidong Du
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Daniel Schmidt
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Rebecca Stevens
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Junshi Chen
- China National Center For Food Safety Risk AssessmentBeijingChina
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & ResponseBeijingChina
| | - Canqing Yu
- Peking University Center for Public Health and Epidemic Preparedness & ResponseBeijingChina
- Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CenterBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | - Dianjianyi Sun
- Peking University Center for Public Health and Epidemic Preparedness & ResponseBeijingChina
- Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CenterBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | - Jun Lv
- Peking University Center for Public Health and Epidemic Preparedness & ResponseBeijingChina
- Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CenterBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | | | - Liming Li
- Peking University Center for Public Health and Epidemic Preparedness & ResponseBeijingChina
- Department of Epidemiology and Biostatistics, School of Public HealthPeking University Health Science CenterBeijingChina
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of EducationBeijingChina
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
| | - Ling Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
- Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population HealthUniversity of OxfordOxfordUK
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Peduzzi G, Archibugi L, Farinella R, de Leon Pisani RP, Vodickova L, Vodicka P, Kraja B, Sainz J, Bars-Cortina D, Daniel N, Silvestri R, Uysal-Onganer P, Landi S, Dulińska-Litewka J, Comandatore A, Campa D, Hughes DJ, Rizzato C. The exposome and pancreatic cancer, lifestyle and environmental risk factors for PDAC. Semin Cancer Biol 2025; 113:100-129. [PMID: 40368260 DOI: 10.1016/j.semcancer.2025.05.004] [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: 01/17/2025] [Revised: 04/08/2025] [Accepted: 05/04/2025] [Indexed: 05/16/2025]
Abstract
Pancreatic cancer (PC), particularly pancreatic ductal adenocarcinoma (PDAC), is a significant global health issue with high mortality rates. PDAC, though only 3 % of cancer diagnoses, causes 7 % of cancer deaths due to its severity and asymptomatic early stages. Risk factors include lifestyle choices, environmental exposures, and genetic predispositions. Conditions like new-onset type 2 diabetes and chronic pancreatitis also contribute significantly. Modifiable risk factors include smoking, alcohol consumption, non-alcoholic fatty pancreatic disease (NAFPD), and obesity. Smoking and heavy alcohol consumption increase PC risk, while NAFPD and obesity, particularly central adiposity, contribute through chronic inflammation and insulin resistance. Refined sugar and sugar-sweetened beverages (SSBs) are also linked to increased PC risk, especially among younger individuals. Hormonal treatments and medications like statins, aspirin, and metformin have mixed results on PC risk, with some showing protective effects. The gut microbiome influences PC through the gut-pancreas axis, with disruptions leading to inflammation and carcinogenesis. Exposure to toxic substances, including heavy metals and chemicals, is associated with increased PC risk. Glycome changes, such as abnormal glycosylation patterns, are significant in PDAC development and offer potential for early diagnosis. Interactions between environmental and genetic factors are crucial in PDAC susceptibility. Genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) linked to PDAC, but gene-environment interactions remain largely unexplored. Future research should focus on polygenic risk scores (PRS) and large-scale studies to better understand these interactions and their impact on PDAC risk.
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Affiliation(s)
| | - Livia Archibugi
- Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational and Clinical Research Center, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | - Ruggero Ponz de Leon Pisani
- Pancreato-Biliary Endoscopy and Endosonography Division, Pancreas Translational and Clinical Research Center, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Ludmila Vodickova
- Biomedical Center Martin, Bioinformatic Center, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Slovakia; Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Pavel Vodicka
- Biomedical Center Martin, Bioinformatic Center, Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Slovakia; Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Bledar Kraja
- University Clinic of Gastrohepatology, University Hospital Center Mother Teresa, Tirana, Albania
| | - Juan Sainz
- Department of Biochemistry and Molecular Biology, University of Granada, Granada, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain; GENYO. Centre for Genomics and Oncological Research. Genomic Oncology department, Granada, Spain; Instituto de Investigación Biosanitaria Ibs.Granada, Granada, Spain
| | - David Bars-Cortina
- Institut Català d'Oncologia (ICO) IDIBELL, Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L'Hospitalet del Llobregat, Barcelona, Spain; Institut Català d'Oncologia (ICO) IDIBELL, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
| | - Neil Daniel
- Molecular Epidemiology of Cancer Group, UCD Conway Institute, School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | | | - Pinar Uysal-Onganer
- Cancer Mechanisms and Biomarkers Research Group, School of Life Sciences, University of Westminster, London, UK
| | - Stefano Landi
- Department of Biology, University of Pisa, Pisa, Italy
| | | | - Annalisa Comandatore
- General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Italy
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
| | - David J Hughes
- Molecular Epidemiology of Cancer Group, UCD Conway Institute, School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
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Peila R, Rohan TE. MRI Measures of Fat Distribution and Risk of Cancer. Cancer Epidemiol Biomarkers Prev 2025; 34:534-540. [PMID: 39927879 DOI: 10.1158/1055-9965.epi-24-1267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 12/06/2024] [Accepted: 02/06/2025] [Indexed: 02/11/2025] Open
Abstract
BACKGROUND Excess adiposity has been associated with an increased risk of several types of cancer. The relationship between fat tissue distribution in the body and these outcomes is less well known. Using data from the UK Biobank imaging substudy, we evaluated the prospective relationship between MRI-derived measurements of adipose tissue distribution and the risk of the major site-specific cancers associated with obesity. METHODS Between 2014 and 2023, MRI measurements on adipose tissue distribution and volume were obtained from 49,044 (52.2% women) cancer-free UK Biobank participants. Quantitative MRI data included volumes of visceral adipose tissue (VAT) and abdominal subcutaneous adipose tissue (ASAT), total abdominal fat/height squared (TAT/h2), and muscle fat infiltration (MFI). Cox proportional hazard models adjusted for cancer-specific risk factors were used to generate HRs and 95% confidence intervals. RESULTS Incident cancer cases of the breast (N = 179), endometrium (n = 30), colorectum (n = 145), and kidney (n = 50) were ascertained over a median follow-up of 4.5 years. In women, VAT, TAT/h2, and MFI were positively associated with a risk of postmenopausal breast cancer, and ASAT was associated with an increased risk of endometrial cancer. In men, VAT and TAT/h2 were positively associated with a risk of colorectal cancer, whereas ASAT was associated with an increased risk of kidney cancer. CONCLUSIONS The present study showed that increasing volumes of VAT, ASAT, and MFI were associated with cancers at specific organ sites, indicating a potential role for adipose tissue distribution in influencing cancer risk. IMPACT Both visceral and subcutaneous fat may have an impact on the risk of certain cancers.
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Ren J, Tang C, Wang J, Wang Y, Yang D, Sheng J, Zhu S, Liu Y, Li X, Liu W. Association of overweight/obesity and digestive system cancers: A meta-analysis and trial sequential analysis of prospective cohort studies. PLoS One 2025; 20:e0318256. [PMID: 40168281 PMCID: PMC11960891 DOI: 10.1371/journal.pone.0318256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 01/14/2025] [Indexed: 04/03/2025] Open
Abstract
BACKGROUND Previous researches have reported correlations between overweight/obesity and common digestive system cancers (DSCs), including gastric, liver, esophageal, colorectal, and pancreatic cancers. However, the inconsistency in defining overweight/obesity and the risk of recall bias from case-control and retrospective cohort studies may influence existing results. Therefore, we aimed to validate the relationship between overweight/obesity and common DSCs by combining prospective cohort studies based on the World Health Organization (WHO) criteria for defining overweight/obesity. METHODS A comprehensive literature search was conducted across PubMed, Embase, Web of Science, and Cochrane databases, covering all publications up to February 7, 2024. The inclusion criteria focused on prospective cohort studies that examined the link between overweight/obesity and risks of DSCs. R software 4.1.3 and STATA 12 were utilised to calculate the relative risk (RR), with 95% confidence interval (CI) and prediction interval (PI). TSA v0.9.5.10 Beta software was used for trial sequential analysis (TSA). RESULTS The meta-analysis encompassed 39 articles. The overall analysis showed that compared with normal weight, overweight/obesity increased the risks of liver cancer (overweight: RR [95% CI] = 1.237 [1.112-1.377]; 95% PI: 0.888-1.725; obesity: RR [95% CI] = 1.642 [1.466-1.839]; 95% PI: 1.143-2.358) and colorectal cancer (overweight: RR [95% CI] = 1.124 [1.056-1.197]; 95% PI: 0.931-1.357; obesity: RR [95% CI] = 1.366 [1.242-1.503]; 95% PI: 0.959-1.945) in the total population. Subgroup analysis revealed that overweight (RR [95% CI] = 1.237 [1.165-1.314]; 95% PI: 1.154-1.327) and obesity (RR [95% CI] = 1.306 [1.152-1.480]; 95% PI: 1.108-1.539) were associated with an increased risk of pancreatic cancer only in women, and overweight also increased the gastric cancer risk of women (RR [95% CI] = 1.041 [1.013-1.070], 95% PI: 0.806-1.230). No significant association of overweight/obesity and esophageal cancer was observed in both male and female. CONCLUSION Our study suggested that overweight/obesity elevated the risks of liver and colorectal cancer in both men and women. No significant association was found between overweight/obesity and the risk of developing esophageal cancer. Clinicians are advised to consider weight control as an effective measure for preventing pancreatic, liver, and colorectal cancers.
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Affiliation(s)
- Ji Ren
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Chunyan Tang
- Department of Nursing, Dezhou Municipal Hospital (Dezhou University Affiliated Hospital), Dezhou, China
| | - Jinghe Wang
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Yanan Wang
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Dongying Yang
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Jianming Sheng
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Shili Zhu
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Yunli Liu
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Xiaoqi Li
- Department of Medicine and Health, Dezhou University, Dezhou, China
| | - Wei Liu
- Department of Medicine and Health, Dezhou University, Dezhou, China
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Safizadeh F, Mandic M, Schöttker B, Hoffmeister M, Brenner H. Central obesity may account for most of the colorectal cancer risk linked to obesity: evidence from the UK Biobank prospective cohort. Int J Obes (Lond) 2025; 49:619-626. [PMID: 39562688 PMCID: PMC11999858 DOI: 10.1038/s41366-024-01680-7] [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: 04/23/2024] [Revised: 11/01/2024] [Accepted: 11/05/2024] [Indexed: 11/21/2024]
Abstract
BACKGROUND General obesity commonly represented by body mass index (BMI) is an established risk factor for colorectal cancer (CRC). However, it is unclear to what extent this association is accounted for by central obesity. We aimed to evaluate the associations between BMI, waist-to-hip ratio (WHR), and waist circumference (WC) with CRC risk and to investigate if and to what extent these associations are independent from each other. METHODS Data from more than 500,000 male and female participants aged 40-69, recruited in the UK Biobank study between 2006 and 2010, were analyzed. Multivariable Cox proportional hazards models were fitted and hazard ratios (HR) and their 95% confidence intervals (CI) were calculated. RESULTS During a median follow-up of 12.5 years, of 460,784 participants, 5,977 developed CRC. Multivariable adjusted HRs (95% CIs) per standard deviation increase of BMI, WHR, and WC were 1.10 (1.07-1.13), 1.18 (1.14-1.22), and 1.14 (1.11-1.18), respectively. After mutual adjustment, the association with CRC was substantially attenuated for BMI (1.04 (1.01-1.07)), and remained substantially stronger for WHR (1.15 (1.11-1.20)). Furthermore, WHR showed strong, statistically significant associations with CRC risk within all BMI categories, whereas associations of BMI with CRC risk were weak and not statistically significant within WHR categories. BMI was also not associated with CRC risk in women and with rectal cancer after mutual adjustment. Conversely, WHR was strongly associated with CRC risk in both sexes and with both colon and rectal cancer risk before and after adjustment for BMI. BMI and WC could not be mutually adjusted for due to their high correlation. CONCLUSION Central obesity is a much stronger predictor of CRC and may account for most of the CRC risk linked to obesity. Our findings also emphasize the need for incorporating measures such as WHR alongside BMI in clinical practice to improve obesity prevention and management.
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Affiliation(s)
- Fatemeh Safizadeh
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Marko Mandic
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Liang XW, Wen J, Liu B, Wang SZ, Wu JC, Pan T. Prognostic impact of visceral and subcutaneous fat area in stage I-III colon cancer patients with cachexia: a population-based multicenter study. Front Nutr 2025; 12:1538285. [PMID: 40098734 PMCID: PMC11911208 DOI: 10.3389/fnut.2025.1538285] [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: 12/02/2024] [Accepted: 02/13/2025] [Indexed: 03/19/2025] Open
Abstract
Background Adipose tissue reduction is one of the features in patients with cancer cachexia. However, it remains unclear whether visceral fat area (VFA) and subcutaneous fat area (SFA) contribute differently to the progression of cancer cachexia in colon cancer patients. This study aims to investigate the prognostic impact of VFA and SFA in stage I-III colon cancer patients with cachexia. Methods Patients diagnosed with stage I-III colon cancer were preoperatively measured for VFA and SFA and then divided into VFA-high (VFA-H) and VFA-low (VFA-L) groups, as well as SFA-high (SFA-H) and SFA-low (SFA-L) groups. The prognostic impact of VFA and SFA for colon cancer patients with cachexia were analyzed using the Kaplan-Meier method and Cox regression analysis. Results A total of 916 colon cancer patients (377 with cachexia and 539 without) were included in the study. In patients with cachexia, the estimated five-year overall survival (OS) was higher in the VFA-H group compared to the VFA-L group (p < 0.001). There was no significant difference in five-year OS between the SFA-L and SFA-H groups (p = 0.076). Cox regression analysis indicated that VFA (hazard ratio [HR] = 0.55, 95% confidence interval [CI] 0.40 to 0.76; p < 0.001) was an independent prognostic factor for patients with cachexia. SFA (HR = 0.78, 95% CI 0.59 to 1.03; p = 0.076) was not an independent prognostic factor for patients with cachexia. Conclusion Preoperative VFA, but not SFA was a useful prognostic factor for long-term outcomes in stage I-III colon cancer patients with cachexia. More attention should be paid to VFA in colon cancer patients with cachexia.
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Affiliation(s)
- Xian-Wen Liang
- Department of Gastrointestinal Surgery, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China
- Department of Gastrointestinal Surgery, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, China
| | - Jing Wen
- Department of Gastrointestinal Surgery, Chengdu Second People's Hospital, Chengdu, China
| | - Bing Liu
- Department of Gastrointestinal Surgery, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, China
| | - Sheng-Zhong Wang
- Department of Gastrointestinal Surgery, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, China
| | - Jin-Cai Wu
- Department of Gastrointestinal Surgery, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China
| | - Tao Pan
- Department of Colorectal Cancer Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
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Tsukanov VV, Vasyutin AV, Tonkikh JL. Risk factors, prevention and screening of colorectal cancer: A rising problem. World J Gastroenterol 2025; 31:98629. [PMID: 39926213 PMCID: PMC11718609 DOI: 10.3748/wjg.v31.i5.98629] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 11/06/2024] [Accepted: 12/04/2024] [Indexed: 12/30/2024] Open
Abstract
Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the second leading cause of cancer death worldwide. The leading risk factors for CRC include male gender, age over 50, family history, obesity, tobacco smoking, alcohol consumption, and unhealthy diet. CRC screening methods vary considerably between countries and depend on incidence, economic resources and healthcare structure. Important aspects of screening include adherence, which can vary significantly across ethnic and socioeconomic groups. Basic concepts of CRC screening include pre-stratification of patients by identifying risk factors and then using fecal immunochemical test or guaiac-based fecal occult blood test and/or colonoscopy or radiologic imaging techniques. Technological capabilities for CRC screening are rapidly evolving and include stool DNA test, liquid biopsy, virtual colonography, and the use of artificial intelligence. A CRC prevention strategy should be comprehensive and include active patient education along with targeted implementation of screening.
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Affiliation(s)
- Vladislav V Tsukanov
- Clinical Department of The Digestive System Pathology of Adults and Children, Federal Research Center “Krasnoyarsk Science Center” of the Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, Krasnoyarsk 660022, Russia
| | - Alexander V Vasyutin
- Clinical Department of The Digestive System Pathology of Adults and Children, Federal Research Center “Krasnoyarsk Science Center” of the Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, Krasnoyarsk 660022, Russia
| | - Julia L Tonkikh
- Clinical Department of The Digestive System Pathology of Adults and Children, Federal Research Center “Krasnoyarsk Science Center” of the Siberian Branch of the Russian Academy of Sciences, Scientific Research Institute of Medical Problems of the North, Krasnoyarsk 660022, Russia
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Theodoridis X, Papaemmanouil A, Papageorgiou N, Georgakou AV, Kalaitzopoulou I, Stamouli M, Chourdakis M. The Level of Adherence to Organic Food Consumption and Risk of Cancer: A Systematic Review and Meta-Analysis. Life (Basel) 2025; 15:160. [PMID: 40003569 PMCID: PMC11856173 DOI: 10.3390/life15020160] [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: 11/14/2024] [Revised: 01/16/2025] [Accepted: 01/17/2025] [Indexed: 02/27/2025] Open
Abstract
The available literature reports inconclusive findings regarding the frequency of organic food consumption and cancer incidence. This systematic review evaluated the effect of the frequency of organic food consumption on overall and site-specific cancer risk. Four electronic databases (PubMed, Scopus, Web of Science Core Collection, and Embase), the gray literature, and the reference lists of the included reports were searched for eligible studies. Study screening, data abstraction, and risk of bias assessment were performed by two independent examiners. Hazard ratios (HRs) and 95% confidence intervals using a random effects model were utilized to synthesize the available data from the included studies. There was no difference between the two interventions regarding overall cancer (HR = 0.93, 95% CI: 0.78-1.12), breast cancer (HR = 1.01, 95% CI: 0.81-1.26), colorectal cancer (HR = 1.01, 95% CI: 0.93-1.10), and non-Hodgkin lymphoma risks (HR = 0.70, 95% CI: 0.17-2.94). The findings suggest that the overall and site-specific cancer risk are not associated with the frequency of consumption of organic foods. Further research is necessary to provide more evidence for the role of organic food consumption on the incidence of cancer using homogeneous methodologies to define the frequency of organic food consumption.
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Affiliation(s)
- Xenophon Theodoridis
- Laboratory of Hygiene, Social and Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (X.T.); (A.P.); (N.P.); (A.V.G.); (I.K.)
| | - Androniki Papaemmanouil
- Laboratory of Hygiene, Social and Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (X.T.); (A.P.); (N.P.); (A.V.G.); (I.K.)
| | - Niki Papageorgiou
- Laboratory of Hygiene, Social and Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (X.T.); (A.P.); (N.P.); (A.V.G.); (I.K.)
| | - Athina Vasiliki Georgakou
- Laboratory of Hygiene, Social and Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (X.T.); (A.P.); (N.P.); (A.V.G.); (I.K.)
| | - Ioustini Kalaitzopoulou
- Laboratory of Hygiene, Social and Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (X.T.); (A.P.); (N.P.); (A.V.G.); (I.K.)
| | - Marilena Stamouli
- Institute of Hepatology, Foundation for Liver Research, London SE5 9NT, UK;
- School of Immunology and Microbial Sciences, Faculty of Life Sciences and Medicine, King’s College, London WC2R 2LS, UK
| | - Michail Chourdakis
- Laboratory of Hygiene, Social and Preventive Medicine and Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; (X.T.); (A.P.); (N.P.); (A.V.G.); (I.K.)
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Son JW, Han BD, Bennett JP, Heymsfield S, Lim S. Development and clinical application of bioelectrical impedance analysis method for body composition assessment. Obes Rev 2025; 26:e13844. [PMID: 39350475 DOI: 10.1111/obr.13844] [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: 10/24/2023] [Revised: 07/20/2024] [Accepted: 09/11/2024] [Indexed: 12/19/2024]
Abstract
Obesity, which is characterized by excessive body fat, increases the risk of chronic diseases, such as type 2 diabetes, cardiovascular diseases, and certain cancers. Sarcopenia, a decline in muscle mass, is also associated with many chronic disorders and is therefore a major concern in aging populations. Body composition analysis is important in the evaluation of obesity and sarcopenia because it provides information about the distribution of body fat and muscle mass. It is also useful for monitoring nutritional status, disease severity, and the effectiveness of interventions, such as exercise, diet, and drugs, and thus helps assess overall health and longevity. Computed tomography, magnetic resonance imaging, and dual-energy X-ray absorptiometry are commonly used for this purpose. However, they have limitations, such as high cost, long measurement time, and radiation exposure. Instead, bioelectrical impedance analysis (BIA), which was introduced several decades ago and has undergone significant technological advancements, can be used. It is easily accessible, affordable, and importantly, poses no radiation risk, making it suitable for use in hospitals, fitness centers, and even at home. Herein, we review the recent technological developments and clinical applications of BIA to provide an updated understanding of BIA technology and its strengths and limitations.
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Affiliation(s)
- Jang Won Son
- Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Byoung-Duck Han
- Department of Family Medicine, Korea University College of Medicine, Seoul, South Korea
| | | | - Steve Heymsfield
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, South Korea
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10
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Walts Z, Parlato L, Brent R, Cai Q, Steinwandel M, Zheng W, Warren Andersen S. Associations of Albumin and BMI with Colorectal Cancer Risk in the Southern Community Cohort Study: a Prospective Cohort Study. J Racial Ethn Health Disparities 2024; 11:3445-3456. [PMID: 37733284 PMCID: PMC10954588 DOI: 10.1007/s40615-023-01797-x] [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: 06/22/2023] [Revised: 09/05/2023] [Accepted: 09/07/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND Obesity may increase colorectal cancer (CRC) risk through mechanisms of increased inflammation. Although BMI is the most used adiposity indicator, it may less accurately measure adiposity in Black populations. Herein, we investigate associations between BMI, low albumin as an inflammation biomarker, and CRC risk in a racially diverse cohort. METHODS Participant data arise from 71,141 participants of the Southern Community Cohort Study, including 724 incident CRC cases. Within the cohort, 69% are Black. Blood serum albumin concentrations, from samples taken at enrollment, were available for 235 cases and 567 controls. Controls matched by age, sex, and race were selected through incidence density sampling. Cox proportional hazards calculated BMI and CRC risk associations (hazard ratios [HRs]; 95% confidence intervals [CIs]. Conditional logistic regression calculated albumin and CRC risk associations (odds ratios [ORs]; 95%CIs). RESULTS Underweight, but not overweight or obese, compared to normal BMI was associated with increased CRC risk (HR:1.75, 95%CI:1.00-3.09). Each standard deviation increase of albumin was associated with decreased CRC risk, particularly for those who self-identified as non-Hispanic Black (OR: 0.56, 95%CI:0.34-0.91), or female (OR:0.54, 95%CI:0.30-0.98), but there was no evidence for interaction by these variables (p-interactions > 0.05). Moreover, albumin concentration was lower in Black than White participants. Mediation analysis suggested that the relation between albumin and CRC was not mediated by BMI. CONCLUSIONS Null associations of overweight/obesity with CRC risk demonstrates limited utility of BMI, especially among Black populations. Low albumin may indicate CRC risk. In Black individuals, albumin may better predict adiposity related risks than BMI.
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Affiliation(s)
- Zoe Walts
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, 53726, USA
- University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Lisa Parlato
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, 53726, USA
- University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Ronni Brent
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, 53726, USA
- University of Wisconsin Carbone Cancer Center, Madison, WI, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Mark Steinwandel
- International Epidemiology Field Station, Vanderbilt Institute for Clinical and Translational Research, Rockville, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Shaneda Warren Andersen
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, 53726, USA.
- University of Wisconsin Carbone Cancer Center, Madison, WI, USA.
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
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11
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Sadafi S, Azizi A, Shakiba E, Pasdar Y. Weight-adjusted waist index and cardiovascular disease: a population-based study in Ravansar, Iran. Arch Public Health 2024; 82:219. [PMID: 39568057 PMCID: PMC11577860 DOI: 10.1186/s13690-024-01451-w] [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: 07/15/2024] [Accepted: 11/13/2024] [Indexed: 11/22/2024] Open
Abstract
BACKGROUND The weight-adjusted-waist index (WWI) is a relatively new index to obesity. This study aimed to explore the reationship between WWI and cardiovascular disease (CVD). METHODS This cross-sectional study included 8,899 participants aged 35 to 65 from the Ravansar non-communicable diseases (RaNCD) cohort study in Ravansar, Iran. The WWI was calculated by dividing waist circumference (WC) by the square root of weight. The receiver operating characteristic (ROC) curve was utilized to assess the predictive performance of WWI in relation to CVD. The study applied multiple logistic regression to assess the association between WWI and CVD. RESULTS Participants had an average age of 47.52 ± 8.29 years, with 45.30% being men and 41.13% residing in rural areas. The prevalence of CVD was found to be 17.36%. A positive correlation between WWI and CVD was obseved, with individuals in the highest WWI quartile having a 36% (OR = 1.36, 95%CI: 1.11, 1.78) greater odds of CVD compared to those in the lowest quartile (OR = 1.03, 95%CI: 0.79, 1.33) (ptrend = 0.010). Subgroup analyses indicated stronger links between WWI and CVD among participants over 50, males, urban residents, those of high socioeconomic status (SES), and passive smokers (p < 0.001). The ROC analysis revealed that WWI is a greater ability in predicting CVD (AUC: 0.64, 95%CI: 0.61, 0.64) compared to body mass index (BMI) (AUC: 0.60, 95%CI: 0.58, 0.61) and WC (AUC: 0.61, 95%CI: 0.59, 0.62). CONCLUSION The increase in WWI elevates the odds of CVD, making the management of WWI crucial for CVD prevention.
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Affiliation(s)
- Sepehr Sadafi
- Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Social Development and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Ali Azizi
- Social Development and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
- Department of Community and Family Medicine, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
| | - Ebrahim Shakiba
- Social Development and Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Yahya Pasdar
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
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12
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Hawwash N, Sperrin M, Martin GP, Joshu CE, Florido R, Platz EA, Renehan AG. Waist circumference-years and cancer risk: a prospective study of the association and comparison of predictive performance with waist circumference and body mass index. Br J Cancer 2024; 131:1623-1634. [PMID: 39367274 PMCID: PMC11554801 DOI: 10.1038/s41416-024-02860-y] [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: 03/26/2024] [Revised: 09/09/2024] [Accepted: 09/18/2024] [Indexed: 10/06/2024] Open
Abstract
BACKGROUND Associations of waist circumferences (WC) and body mass index (BMI) measured once or over time, with cancer incidence were studied. WC is associated with some cancers independent of BMI. Analyses of cumulative central adiposity and cancer are lacking. We investigated associations between waist circumference-years, incorporating exposure time to WC ≥ 102 cm in men or ≥88 cm in women, and cancer, and compared this with single WC or BMI. METHODS Serial WC measurements taken over 9 years in the prospective Atherosclerosis Risk in Communities Study (ARIC) predicted yearly WC. Cox proportional hazards regression estimated hazard ratios (HRs) of cancer incidence for waist circumference-years, WC or BMI, measured in Visit 4. Harrell's C-statistic quantified metric predictive performances. RESULTS 10,172 participants were followed up from Visit 4 for cancer over a median 13.7 for men and 15.8 years for women. For obesity-related cancers, HRs per standard deviation waist circumference-years were 1.14 (95%CI:1.04,1.25) and 1.19 (95%CI:1.12,1.27), respectively. Differences in metric predictive performances were marginal. DISCUSSION This is the first study to identify positive associations between waist circumference-years and cancer. Waist circumference-years did not provide additional information on cancer risk beyond that of WC and BMI. BMI is routinely measured in clinic so it may be preferred over WC.
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Affiliation(s)
- Nadin Hawwash
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- Cancer Research UK Manchester Cancer Research Centre, Manchester, UK.
| | - Matthew Sperrin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Glen P Martin
- Centre for Health Informatics, Division of Informatics, Imaging and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Corinne E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Roberta Florido
- Johns Hopkins University School of Medicine, Department of Medicine, Division of Cardiology, Baltimore, MD, USA
- Department of Medicine, Division of Cardiology, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Andrew G Renehan
- Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- National Institute for Health Research (NIHR) Manchester Biomedical Research Centre, Manchester, UK
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13
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Mujica FP, Candio P. Taking a health economic perspective in monitoring health inequalities: A focus on excess weight. Health Policy 2024; 148:105144. [PMID: 39141983 DOI: 10.1016/j.healthpol.2024.105144] [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: 10/06/2023] [Revised: 07/25/2024] [Accepted: 08/01/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Traditional approaches to monitoring health inequalities predominantly rely on headcount methods. However, these methods fail to reflect the non-linear health economic implications of changes in disease severity. Alternative, distribution-sensitive metrics are available which could more adequately inform financial planning and policy decision making. METHODS We describe the design of the Foster-Greer-Thorbecke (FGT) index, and discuss its relative merits as a summary monitoring metric of health inequalities in the population, compared to the Erreygers concentration index. We illustrate the FGT index by conducting a comparative longitudinal analysis of adult excess inequalities in England using Health Survey for England data from 2009 to 2019. FINDINGS Excess weight inequalities have steadily increased in the English adult population, especially over the last five years. Going beyond headcount, the FGT index analyses revealed that, unlike the rest of the population, the average overweight adult from the most socio-economically deprived group is either obese (30.3 BMI for females) or at the brink of obesity (29.1 BMI for males). These results underscore a deepening divide in obesity severity between communities, with the most socioeconomically deprived groups being increasingly and disproportionally affected. CONCLUSIONS The FGT index can address some shortcomings of traditional approaches to inequality measurement and local governments should consider adopting it as an alternative population health metric. Future research should apply and develop more refined distribution-sensitive measures of health inequality.
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Affiliation(s)
- Fiorella Parra Mujica
- Erasmus School of Health Policy and Management, Erasmus University Rotterdam, the Netherlands
| | - Paolo Candio
- Department of Economics and Management, University of Trento, Italy.
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14
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Leung CK, Bernal JDK, Yu AP, Recchia F, Tam BT, Fong DYT, Chan DKC, Ngai HH, Lee CH, Yung PSH, Wong SHS, Gibala M, Siu PM. Effects of volume-matched once-weekly and thrice-weekly high-intensity interval training (HIIT) on body adiposity in adults with central obesity: Study protocol for a randomized controlled trial. J Exerc Sci Fit 2024; 22:329-340. [PMID: 38993983 PMCID: PMC11238123 DOI: 10.1016/j.jesf.2024.05.001] [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: 01/19/2024] [Revised: 05/06/2024] [Accepted: 05/29/2024] [Indexed: 07/13/2024] Open
Abstract
Objective This study aims to examine the comparative effects of 75 min of volume-matched once-weekly and thrice-weekly high-intensity interval training (HIIT) on body adiposity in adults with central obesity. Methods This assessor-blinded, three-arm, randomized controlled trial will recruit 315 physically inactive adults with central obesity (aged ≥18 years, body mass index ≥23, waist circumference ≥90 cm for men and ≥80 cm for women). Participants will be randomly allocated to the once-weekly HIIT, thrice-weekly HIIT or usual care control group. Participants in the HIIT groups will receive weekly exercise training sessions for 16 weeks, prescribed either once or three times weekly. Each HIIT session will consist of a supervised program of four 4-min high-intensity intervals at 85%-95% peak heart rate (HRpeak) interspersed with 3-min active recovery intervals at 50%-70% HRpeak. Participants in the once-weekly HIIT group will perform the 25-min HIIT bout three times with a break between each 25-min HIIT bout. The usual care control group will receive bi-weekly health education classes. The outcome assessments will be conducted at baseline, 16 weeks (post-intervention) and 32 weeks (follow-up). The primary outcome will be total body adiposity assessed by dual-energy X-ray absorptiometry (DXA). The secondary outcome measures will include markers of cardiovascular and metabolic health (body composition, cardiorespiratory fitness, blood pressure, and blood lipids), mental health, cognitive performance, health-related quality of life, sleep quality, habitual physical activity, diet, medication, adverse events and adherence to the intervention. Impact of the project The findings from this study are expected to consolidate the therapeutic efficacy of HIIT for the management of central obesity and inform the comparative compliance, feasibility and suitability of once-weekly and thrice-weekly HIIT as exercise strategies to manage obesity. In particular, the present study is expected to provide a novel perspective on the utility of low-frequency HIIT (i.e., once-weekly) as an effective and sustainable exercise strategy to tackle the obesity pandemic. The anticipated findings will hold substantial translational value by informing public health policies and enhancing exercise compliance in the physically inactive obese population. Trial registration ClinicalTrials.gov (NCT04887454).
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Affiliation(s)
- Chit K Leung
- Division of Kinesiology, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Joshua D K Bernal
- Division of Kinesiology, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Angus P Yu
- Division of Kinesiology, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Francesco Recchia
- Division of Kinesiology, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Bjorn T Tam
- Department of Sport, Physical Education and Health, Faculty of Social Sciences, Hong Kong Baptist University, Hong Kong, China
- Dr. Stephen Hui Research Centre for Physical Recreation and Wellness, Faculty of Social Sciences, Hong Kong Baptist University, Hong Kong, China
| | - Daniel Y T Fong
- School of Nursing, The University of Hong Kong, Hong Kong, China
| | - Derwin K C Chan
- Department of Early Childhood Education, The Education University of Hong Kong, Hong Kong, China
| | - Heidi H Ngai
- Dietetic Clinic, School of Professional and Continuing Education, The University of Hong Kong, Hong Kong, China
| | - Chi H Lee
- Department of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China
| | - Patrick S H Yung
- Department of Orthopaedics and Traumatology, The Chinese University of Hong Kong, Hong Kong, China
| | - Stephen H S Wong
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
| | - Martin Gibala
- Department of Kinesiology, McMaster University, Canada
| | - Parco M Siu
- Division of Kinesiology, School of Public Health, The University of Hong Kong, Hong Kong, China
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15
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Tamer F. Do patients with acne tend to have increased body fat? Comparison of body composition analysis of patients with acne vulgaris and healthy individuals: a prospective case control study. Arch Dermatol Res 2024; 316:602. [PMID: 39230751 DOI: 10.1007/s00403-024-03354-w] [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: 06/19/2024] [Revised: 08/09/2024] [Accepted: 08/20/2024] [Indexed: 09/05/2024]
Abstract
BACKGROUND Acne vulgaris is a chronic, inflammatory skin disease which has been associated with metabolic syndrome and obesity. However, data on body composition in patients with acne vulgaris are scarce. AIM We aimed to assess body composition in patients with acne vulgaris, compare the results with those of healthy individuals, and evaluate the relationship between body composition and acne severity. METHODS Between March 2023 and May 2023, body composition of patients with acne vulgaris and healthy individuals was prospectively evaluated using Tanita TBF-300 body composition analyzer. RESULTS This study included a total of 320 subjects, 160 patients with acne vulgaris and 160 healthy individuals. Body mass index (BMI), body fat percentage and fat mass were significantly higher in patients with acne vulgaris compared to healthy individuals (p < 0.001, each). BMI, body fat percentage and fat mass were significantly higher in female patients compared to healthy females (p < 0.001, each), higher in male patients compared to healthy males (p = 0.001, p < 0.001, p < 0.001, respectively). BMI (p = 0.006), fat free body mass (p < 0.001) and total body water (p < 0.001) were higher in male patients, while body fat percentage (p < 0.001) was higher in female patients. Patients with moderate to severe acne had higher BMI (p < 0.001), body fat percentage (p = 0.001) and fat mass (p < 0.001) than in those with mild acne. CONCLUSION Since high body fat may indicate increased risk and severity of acne, body composition analysis may be useful in treating patients with acne and taking preventive measures against metabolic syndrome in this population.
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Affiliation(s)
- Funda Tamer
- Department of Dermatology, Gazi University School of Medicine, Ankara, Turkey.
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16
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Gupta VK, Sahu L, Sonwal S, Suneetha A, Kim DH, Kim J, Verma HK, Pavitra E, Raju GSR, Bhaskar L, Lee HU, Huh YS. Advances in biomedical applications of vitamin D for VDR targeted management of obesity and cancer. Biomed Pharmacother 2024; 177:117001. [PMID: 38936194 DOI: 10.1016/j.biopha.2024.117001] [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: 02/14/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND 1,25(OH)2D3 is a fat-soluble vitamin, involved in regulating Ca2+ homeostasis in the body. Its storage in adipose tissue depends on the fat content of the body. Obesity is the result of abnormal lipid deposition due to the prolonged positive energy balance and increases the risk of several cancer types. Furthermore, it has been associated with vitamin D deficiency and defined as a low 25(OH)2D3 blood level. In addition, 1,25(OH)2D3 plays vital roles in Ca2+-Pi and glucose metabolism in the adipocytes of obese individuals and regulates the expressions of adipogenesis-associated genes in mature adipocytes. SCOPE AND APPROACH The present contribution focused on the VDR mediated mechanisms interconnecting the obese condition and cancer proliferation due to 1,25(OH)2D3-deficiency in humans. This contribution also summarizes the identification and development of molecular targets for VDR-targeted drug discovery. KEY FINDINGS AND CONCLUSIONS Several studies have revealed that cancer development in a background of 1,25(OH)2D3 deficient obesity involves the VDR gene. Moreover, 1,25(OH)2D3 is also known to influence several cellular processes, including differentiation, proliferation, and adhesion. The multifaceted physiology of obesity has improved our understanding of the cancer therapeutic targets. However, currently available anti-cancer drugs are notorious for their side effects, which have raised safety issues. Thus, there is interest in developing 1,25(OH)2D3-based therapies without any side effects.
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Affiliation(s)
- Vivek Kumar Gupta
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea
| | - Lipina Sahu
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh 495009, India
| | - Sonam Sonwal
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea
| | - Achanti Suneetha
- Department of Pharmaceutical Analysis, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada, Andhra Pradesh 520010, India
| | - Dong Hyeon Kim
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea
| | - Jigyeong Kim
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea
| | - Henu Kumar Verma
- Department of Immunopathology, Institute of Lungs Health and Immunity, Comprehensive Pneumology Center, Helmholtz Zentrum, Neuherberg, Munich 85764, Germany
| | - Eluri Pavitra
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea
| | - Ganji Seeta Rama Raju
- Department of Energy and Materials Engineering, Dongguk University, Seoul 04620, Republic of Korea.
| | - Lvks Bhaskar
- Department of Zoology, Guru Ghasidas Vishwavidyalaya, Bilaspur, Chhattisgarh 495009, India.
| | - Hyun Uk Lee
- Division of Material Analysis and Research, Korea Basic Science Institute, Daejeon 34133, Republic of Korea.
| | - Yun Suk Huh
- NanoBio High-Tech Materials Research Center, Department of Biological Sciences and Bioengineering, Inha University, Incheon 22212, Republic of Korea.
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17
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Zhou Y, Chen Q, Abuduxukuer K, Wang C, Dong J, Wang Y, Shi W, Hou Y, Shi F, Luo J, Peng Q. Novel anthropometric indices are superior adiposity indexes to portend visual impairment in middle-aged and older Chinese population. BMJ Open Ophthalmol 2024; 9:e001664. [PMID: 39009464 PMCID: PMC11253769 DOI: 10.1136/bmjophth-2024-001664] [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: 02/02/2024] [Accepted: 05/06/2024] [Indexed: 07/17/2024] Open
Abstract
OBJECTIVE To investigate differential associations of traditional and novel adiposity indices with visual impairment (VI) in the middle-aged and older Chinese population. METHODS AND ANALYSIS Based on the China Health and Retirement Longitudinal Study, 7750 Chinese older adults aged over 45 were included at baseline 2011, and 4133 participants who accomplished all three interviews from 2011 to 2015 were adapted for longitudinal analyses. We enrolled six adiposity indices, including the body mass index (BMI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI), a body shape index (ABSI), body roundness index (BRI) and conicity index (ConI). Visual status and other covariates included sociodemographic characteristics, medical supports and lifestyle-related factors. Cross-sectional correlations were assessed using univariate and multivariate logistic regression analyses. For longitudinal analysis, generalised linear models with generalised estimating equations were used to determine the association between time-varying adiposity and visual status. RESULTS Higher levels of WHtR/WWI/ABSI/BRI/ConI were significantly associated with an increased prevalence of VI, whereas a higher BMI was associated with a decreased prevalence of VI. Only WWI was significantly related to the prevalence of VI after adjustment for multiple confounders in both cross-sectional and longitudinal analyses (all p values <0.05). The multivariable-adjusted OR (95% CI) of VI associated with the highest (vs lowest) quintile of WWI was 1.900 (1.407 to 2.565). CONCLUSION WWI is a reliable alternative adiposity index that exhibits a dose-response association with the prevalence of VI in the Chinese population. The WWI-VI correlation may eliminate the obesity paradox in the ophthalmic epidemiological area and indicate the detrimental impact of changes in body composition on VI.
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Affiliation(s)
- Yifan Zhou
- Department of Ophthalmology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qing Chen
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration
| | - KaiweiSa Abuduxukuer
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Chuchu Wang
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Jialong Dong
- Department of Ophthalmology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yiting Wang
- Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wenming Shi
- School of Public Health, Fudan University, Shanghai, China
| | - Yanan Hou
- Department of Endocrine and Metabolic Diseases, Shanghai First People’s Hospital (Shanghai General Hospital), School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Fei Shi
- School of Electronic and Information Engineering, Soochow University, Suzhou, China
| | - Jianfeng Luo
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Qing Peng
- Department of Ophthalmology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
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18
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El-Tanani M, Rabbani SA, Aljabali AA, Matalka II, El-Tanani Y, Rizzo M, Tambuwala MM. The Complex Connection between Obesity and Cancer: Signaling Pathways and Therapeutic Implications. Nutr Cancer 2024; 76:683-706. [PMID: 38847479 DOI: 10.1080/01635581.2024.2361964] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 08/02/2024]
Abstract
Obesity has emerged as an important global health challenge, significantly influencing the incidence and progression of various cancers. This comprehensive review elucidates the complex relationship between obesity and oncogenesis, focusing particularly on the role of dysregulated signaling pathways as central mediators of this association. We delve into the contributions of obesity-induced alterations in key signaling cascades, including PI3K/AKT/mTOR, JAK/STAT, NF-κB, and Wnt/β-catenin to carcinogenesis. These alterations facilitate unchecked cellular proliferation, chronic inflammation and apoptosis resistance. Epidemiological evidence links obesity with increased cancer susceptibility and adverse prognostic outcomes, with pronounced risks for specific cancers such as breast, colorectal, endometrial and hepatic malignancies. This review synthesizes data from both animal and clinical studies to underscore the pivotal role of disrupted signaling pathways in shaping innovative therapeutic strategies. We highlight the critical importance of lifestyle modifications in obesity management and cancer risk mitigation, stressing the benefits of dietary changes, physical activity, and behavioral interventions. Moreover, we examine targeted pharmacological strategies addressing aberrant pathways in obesity-related tumors and discuss the integration of cutting-edge treatments, including immunotherapy and precision medicine, into clinical practice.
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Affiliation(s)
- Mohamed El-Tanani
- College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates
| | - Syed Arman Rabbani
- College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates
| | - Alaa A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Yarmouk University, Irbid, Jordan
| | - Ismail I Matalka
- Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates
- Department of Pathology and Microbiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Yahia El-Tanani
- Medical School, St George's University of London, Tooting, London
| | - Manfredi Rizzo
- Department of Health Promotion, Mother and Childcare, Internal Medicine and Medical Specialties, School of Medicine, University of Palermo, Palermo, Italy
| | - Murtaza M Tambuwala
- Lincoln Medical School, University of Lincoln, Brayford Pool Campus, Lincoln, UK
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Amadou A, Freisling H, Sedlmeier AM, Bohmann P, Fontvieille E, Weber A, Konzok J, Stein MJ, Peruchet-Noray L, Jansana A, Noh H, His M, Gan Q, Baurecht H, Fervers B. Multi-Trait Body Shape Phenotypes and Breast Cancer Risk in Postmenopausal Women: A Causal Mediation Analysis in the UK Biobank Cohort. J Epidemiol Glob Health 2024; 14:420-432. [PMID: 38598163 PMCID: PMC11176278 DOI: 10.1007/s44197-024-00226-4] [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: 01/10/2024] [Accepted: 04/01/2024] [Indexed: 04/11/2024] Open
Abstract
Body shape phenotypes combining multiple anthropometric traits have been linked to postmenopausal breast cancer (BC). However, underlying biological pathways remain poorly understood. This study investigated to what extent the associations of body shapes with postmenopausal BC risk is mediated by biochemical markers. The study included 176,686 postmenopausal women from UK Biobank. Four body shape phenotypes were derived from principal component (PC) analysis of height, weight, body mass index, waist and hip circumferences, and waist-to-hip ratio (WHR). The four-way decomposition of the total effect was used to estimate mediation and interaction effects simultaneously as well as the mediated proportions. After 10.9 years median follow-up, 6,396 incident postmenopausal BC were diagnosed. There was strong evidence of positive associations between PC1 (general obesity) and PC2 (tall, low WHR), and BC risk. The association of PC1 with BC risk was positively mediated by testosterone and negatively by insulin-like growth factor-1 (IGF-1), with the overall proportion mediated (sum of the mediated interaction and pure indirect effect (PIE)) accounting for 11.4% (95% confidence intervals: 5.1 to 17.8%) and -12.2% (-20.5% to -4.0%) of the total effect, respectively. Small proportions of the association between PC2 and BC were mediated by IGF-1 (PIE: 2.8% (0.6 to 4.9%)), and sex hormone-binding globulin (SHBG) (PIE: -6.1% (-10.9% to -1.3%)). Our findings are consistent with differential pathways linking different body shapes with BC risk, with a suggestive mediation through testosterone and IGF-1 in the relationship of a generally obese body shape and BC risk, while IGF-1 and SHBG may mediate a tall/lean body shape-BC risk association.
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Affiliation(s)
- Amina Amadou
- Department of Prevention Cancer Environment, Centre Léon Bérard, 28 rue Laënnec, Lyon Cedex 08, 69373, France.
- Inserm U1296 Radiations : Défense, Santé, Environnement, Lyon, France.
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France
| | - Anja M Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Patricia Bohmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Emma Fontvieille
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France
| | - Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julian Konzok
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Michael J Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Laia Peruchet-Noray
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France
| | - Anna Jansana
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France
| | - Hwayoung Noh
- Department of Prevention Cancer Environment, Centre Léon Bérard, 28 rue Laënnec, Lyon Cedex 08, 69373, France
- Inserm U1296 Radiations : Défense, Santé, Environnement, Lyon, France
| | - Mathilde His
- Department of Prevention Cancer Environment, Centre Léon Bérard, 28 rue Laënnec, Lyon Cedex 08, 69373, France
- Inserm U1296 Radiations : Défense, Santé, Environnement, Lyon, France
| | - Quan Gan
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC), Lyon, France
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Béatrice Fervers
- Department of Prevention Cancer Environment, Centre Léon Bérard, 28 rue Laënnec, Lyon Cedex 08, 69373, France
- Inserm U1296 Radiations : Défense, Santé, Environnement, Lyon, France
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20
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Stany B, Mishra S, Rao KVB. Pharmacokinetic studies, molecular docking, and molecular dynamics simulations of phytochemicals from Morus alba: a multi receptor approach for potential therapeutic agents in colorectal cancer. Med Oncol 2024; 41:156. [PMID: 38750377 DOI: 10.1007/s12032-024-02406-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 05/06/2024] [Indexed: 06/14/2024]
Abstract
This study explores the therapeutic potential of phytochemicals derived from Morus alba for colorectal cancer (CRC) treatment. Colorectal cancer is a global health concern with increasing mortality rates, necessitating innovative strategies for prevention and therapy. Employing in silico analysis, molecular docking techniques (MDT), and molecular dynamics simulations (MDS), the study investigates the interactions between Morus alba-derived phytochemicals and key proteins (AKT1, Src, STAT3, EGFR) implicated in CRC progression. ADME/T analysis screens 78 phytochemicals for drug-like and pharmacokinetic properties. The study integrates Lipinski's Rule of Five and comprehensive bioactivity assessments, providing a nuanced understanding of Morus alba phytoconstituent's potential as CRC therapeutic agents. Notably, 14 phytochemicals out of 78 emerge as potential candidates, demonstrating oral bioavailability and favorable bioactivity scores. Autodock 1.5.7 is employed for energy minimization followed by molecular docking with the highest binding energy observed to be - 11.7 kcal/mol exhibited by Kuwanon A against AKT1. Molecular dynamics simulations and trajectory path analysis were conducted between Kuwanon A and AKT1 at the Pleckstrin homology (PH) domain region (TRP80), revealing minimal deviations. In comparison to the standard drug Capivasertib, the phytochemical Kuwanon A emerges as a standout candidate based on computational analysis. This suggests its potential as an alternative to mitigate the limitations associated with the standard drug. The research aims to provide insights for future experimental validations and to stimulate the development of Kuwanon A as a novel, effective therapeutic agent for managing colorectal cancer.
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Affiliation(s)
- B Stany
- School of Bio Sciences and Technology, VIT University, Vellore, Tamil Nadu, 632014, India
| | - Shatakshi Mishra
- School of Bio Sciences and Technology, VIT University, Vellore, Tamil Nadu, 632014, India
| | - K V Bhaskara Rao
- Marine Biotechnology Laboratory, Department of Biomedical Sciences, School of Bio Sciences and Technology, VIT University, Vellore, Tamil Nadu, 632014, India.
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21
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Rontogianni MO, Bouras E, Aglago EK, Freisling H, Murphy N, Cotterchio M, Hampe J, Lindblom A, Pai RK, Pharoah PDP, Phipps AI, van Duijnhoven FJB, Visvanathan K, van Guelpen B, Li CI, Brenner H, Pellatt AJ, Ogino S, Gunter MJ, Peters U, Christakoudi S, Tsilidis KK. Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis. Int J Obes (Lond) 2024; 48:709-716. [PMID: 38297030 PMCID: PMC11058311 DOI: 10.1038/s41366-024-01479-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 01/12/2024] [Accepted: 01/18/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Traditional body-shape indices such as Waist Circumference (WC), Hip Circumference (HC), and Waist-to-Hip Ratio (WHR) are associated with colorectal cancer (CRC) risk, but are correlated with Body Mass Index (BMI), and adjustment for BMI introduces a strong correlation with height. Thus, new allometric indices have been developed, namely A Body Shape Index (ABSI), Hip Index (HI), and Waist-to-Hip Index (WHI), which are uncorrelated with weight and height; these have also been associated with CRC risk in observational studies, but information from Mendelian randomization (MR) studies is missing. METHODS We used two-sample MR to examine potential causal cancer site- and sex-specific associations of the genetically-predicted allometric body-shape indices with CRC risk, and compared them with BMI-adjusted traditional body-shape indices, and BMI. Data were obtained from UK Biobank and the GIANT consortium, and from GECCO, CORECT and CCFR consortia. RESULTS WHI was positively associated with CRC in men (OR per SD: 1.20, 95% CI: 1.03-1.39) and in women (1.15, 1.06-1.24), and similarly for colon and rectal cancer. ABSI was positively associated with colon and rectal cancer in men (1.27, 1.03-1.57; and 1.40, 1.10-1.77, respectively), and with colon cancer in women (1.20, 1.07-1.35). There was little evidence for association between HI and colon or rectal cancer. The BMI-adjusted WHR and HC showed similar associations to WHI and HI, whereas WC showed similar associations to ABSI only in women. CONCLUSIONS This large MR study provides strong evidence for a potential causal positive association of the allometric indices ABSI and WHI with CRC in both sexes, thus establishing the association between abdominal fat and CRC without the limitations of the traditional waist size indices and independently of BMI. Among the BMI-adjusted traditional indices, WHR and HC provided equivalent associations with WHI and HI, while differences were observed between WC and ABSI.
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Affiliation(s)
- Marina O Rontogianni
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Hygiene, Social-Preventive Medicine and Medical Statistics, Aristotle University of Thessaloniki School of Medicine, Thessaloniki, Greece
| | - Elom Kouassivi Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Michelle Cotterchio
- Ontario Health (Cancer Care Ontario), Toronto, ON, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden (TU Dresden), Dresden, Germany
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Rish K Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Paul D P Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | | | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Christopher I Li
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
- Translational Research Program and Epidemiology Program, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andrew J Pellatt
- Division of Cancer Medicine, University of Texas MD Anderson Cancer Center, Texas, TX, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber Harvard Cancer Center, Boston, MA, USA
| | - Marc J Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK
- Department of Inflammation Biology, School of Immunology and Microbial Sciences, King's College London, London, UK
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Norfolk Place, London, UK.
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22
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Tsukanov V, Ryabokon A, Tonkikh Y, Vasyutin A. Colorectal cancer: incidence, risk factors, and screening. RUSSIAN JOURNAL OF PREVENTIVE MEDICINE 2024; 27:93. [DOI: 10.17116/profmed20242703193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2024]
Abstract
The analysis of the current literature data characterizing the incidence, risk factors and screening methods of colorectal cancer (CRC) is presented. In recent years, dynamics of CRC epidemiological indicators have been unfavorable worldwide. The CRC incidence in Russia is high and reaches 30.7 per 100 thousand population in men, among women — 20.9 per 100 thousand population. The leading risk factors for this pathology include male sex, age older than 45—50 years, detection of adenomatous polyps in the intestines, the presence of close relatives with CRC, obesity, tobacco smoking, alcohol use, consumption of red and processed meat. The leading CRC screening methods are highly sensitive stool occult blood tests and colonoscopy. It is advisable to increase the use of screening and the development of preventive measures to reduce the incidence of CRC in Russia.
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Affiliation(s)
- V.V. Tsukanov
- Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences — a separate subdivision «Scientific Research Institute of medical problems of the North»
| | - A.G. Ryabokon
- Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences — a separate subdivision «Scientific Research Institute of medical problems of the North»
| | - Yu.L. Tonkikh
- Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences — a separate subdivision «Scientific Research Institute of medical problems of the North»
| | - A.V. Vasyutin
- Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences — a separate subdivision «Scientific Research Institute of medical problems of the North»
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23
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Peruchet-Noray L, Sedlmeier AM, Dimou N, Baurecht H, Fervers B, Fontvieille E, Konzok J, Tsilidis KK, Christakoudi S, Jansana A, Cordova R, Bohmann P, Stein MJ, Weber A, Bézieau S, Brenner H, Chan AT, Cheng I, Figueiredo JC, Garcia-Etxebarria K, Moreno V, Newton CC, Schmit SL, Song M, Ulrich CM, Ferrari P, Viallon V, Carreras-Torres R, Gunter MJ, Freisling H. Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer. SCIENCE ADVANCES 2024; 10:eadj1987. [PMID: 38640244 PMCID: PMC11029802 DOI: 10.1126/sciadv.adj1987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 03/12/2024] [Indexed: 04/21/2024]
Abstract
It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC.
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Affiliation(s)
- Laia Peruchet-Noray
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Anja M. Sedlmeier
- Center for Translational Oncology, University Hospital Regensburg, Regensburg, Germany
- Bavarian Cancer Research Center (BZKF), Regensburg, Germany
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Niki Dimou
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Béatrice Fervers
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Julian Konzok
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Kostas K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
- Department of Inflammation Biology, School of Immunology & Microbial Sciences, King’s College London, London, UK
| | - Anna Jansana
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Reynalda Cordova
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Patricia Bohmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Michael J. Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Koldo Garcia-Etxebarria
- Biodonostia, Gastrointestinal Genetics Group, San Sebastián, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain
| | - Victor Moreno
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, 08908 Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, 08908 Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | | | - Stephanie L. Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Epidemiology and Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Cornelia M. Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Robert Carreras-Torres
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, Girona, Spain
| | - Marc J. Gunter
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
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Guo J, Dove A, Shang Y, Marseglia A, Johnell K, Rizzuto D, Xu W. Associations Between Mid- to Late-Life Body Mass Index and Chronic Disease-Free Survival: A Nationwide Twin Study. J Gerontol A Biol Sci Med Sci 2024; 79:glad111. [PMID: 37096341 PMCID: PMC10733179 DOI: 10.1093/gerona/glad111] [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: 09/29/2022] [Indexed: 04/26/2023] Open
Abstract
BACKGROUND Some studies have linked late-life overweight to a reduced mortality risk compared to normal body mass index (BMI). However, the impact of late-life overweight and its combination with mid-life BMI status on healthy survival remains unclear. We aimed to investigate whether and to what extent mid- and/or late-life overweight are associated with chronic disease-free survival. METHODS Within the Swedish Twin Registry, 11 597 chronic disease-free twins aged 60-79 years at baseline were followed up for 18 years. BMI (kg/m2) was recorded at baseline and 25-35 years before baseline (ie, midlife) and divided as underweight (<20), normal (≥20-25), overweight (≥25-30), and obese (≥30). Incident chronic diseases (cardiovascular diseases, type 2 diabetes, and cancer) and deaths were ascertained via registries. Chronic disease-free survival was defined as years lived until the occurrence of any chronic diseases or death. Data were analyzed using multistate survival analysis. RESULTS Of all participants, 5 640 (48.6%) were overweight/obese at baseline. During the follow-up, 8 772 (75.6%) participants developed at least 1 chronic disease or died. Compared to normal BMI, late-life overweight and obesity were associated with 1.1 (95% CI, 0.3, 2.0) and 2.6 (1.6, 3.5) years shorter chronic disease-free survival. Compared to normal BMI through mid- to late life, consistent overweight/obesity and overweight/obesity only in mid-life led to 2.2 (1.0, 3.4) and 2.6 (0.7, 4.4) years shorter disease-free survival, respectively. CONCLUSIONS Late-life overweight and obesity may shorten disease-free survival. Further research is needed to determine whether preventing overweight/obesity from mid- to late life might favor longer and healthier survival.
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Affiliation(s)
- Jie Guo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Ying Shang
- Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Kristina Johnell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
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Greenblatt DJ, Bruno CD, Harmatz JS, Dawson-Hughes B, Zhang Q, Li C, Chow CR. Estimation of Absolute and Relative Body Fat Content Using Noninvasive Surrogates: Can DXA Be Bypassed? J Clin Pharmacol 2023; 63 Suppl 2:S35-S47. [PMID: 37942909 PMCID: PMC10651165 DOI: 10.1002/jcph.2306] [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: 03/08/2023] [Accepted: 07/01/2023] [Indexed: 11/10/2023]
Abstract
Dual-energy x-ray absorptiometry (DXA) scanning is used for objective determination of body composition, but instrumentation is expensive and not generally available in customary clinical practice. Anthropometric surrogates are often substituted as anticipated correlates of absolute and relative body fat content in the clinical management of obesity and its associated medical risks. DXA and anthropometric data from a cohort of 9230 randomly selected American subjects, available through the ongoing National Health and Nutrition Examination Survey, was used to evaluate combinations of surrogates (age, height, total weight, waist circumference) as predictors of DXA-determined absolute and relative body fat content. Multiple regression analysis yielded linear combinations of the 4 surrogates that were closely predictive of DXA-determined absolute fat content (R2 = 0.93 and 0.96 for male and female subjects). Accuracy of the new algorithm was improved over customary surrogate-based predictors such as body mass index. However prediction of relative body fat was less robust (R2 less than 0.75), probably due to the nonlinear relation between degree of obesity (based on body mass index) and relative body fat. The paradigm was validated using an independent cohort from the National Health and Nutrition Examination Survey, as well as two independent external subject groups. The described regression-based algorithm is likely to be a sufficiently accurate predictor of absolute body fat (but not relative body fat) to substitute for DXA scanning in many clinical situations. Further work is needed to assess algorithm validity for subgroups of individuals with "atypical" body construction.
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Affiliation(s)
- David J Greenblatt
- Program in Pharmacology and Drug Development, Tufts University School of Medicine, Boston, MA, USA
- Clinical and Translational Science Institute, Tufts Medical Center, Boston, MA, USA
| | - Christopher D Bruno
- Program in Pharmacology and Drug Development, Tufts University School of Medicine, Boston, MA, USA
- Emerald Lake Safety, LLC, Newport Beach, CA, USA
| | - Jerold S Harmatz
- Program in Pharmacology and Drug Development, Tufts University School of Medicine, Boston, MA, USA
| | - Bess Dawson-Hughes
- Jean Mayer Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Qingchen Zhang
- Program in Pharmacology and Drug Development, Tufts University School of Medicine, Boston, MA, USA
| | - Chunhui Li
- Program in Pharmacology and Drug Development, Tufts University School of Medicine, Boston, MA, USA
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Ye J, Hu Y, Chen X, Yin Z, Yuan X, Huang L, Li K. Association between the weight-adjusted waist index and stroke: a cross-sectional study. BMC Public Health 2023; 23:1689. [PMID: 37658310 PMCID: PMC10472709 DOI: 10.1186/s12889-023-16621-8] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 08/25/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND The weight-adjusted waist index (WWI) is a new measure of obesity, and this study aimed to determine the association between the WWI and stroke. METHODS Using the National Health and Nutrition Examination Survey (NHANES) 2011-2020 dataset, cross-sectional data from 23,389 participants were analysed. The correlation between the WWI and stroke was investigated through multivariate logistic regression and smoothing curve fitting. Subgroup analysis and interaction tests were also carried out. RESULTS The research involved 23,389 participants, of whom 893 (3.82%) had a stroke. The fully adjusted model revealed a positive correlation between the WWI and stroke [1.25 (1.05, 1.48)]. Individuals who were in the highest quartile of WWI exhibited a 62% higher likelihood of experiencing a stroke than those in the lowest quartile [1.62 (1.06, 2.48)]. Subgroup analysis and interaction tests revealed that this positive correlation was similar in different population settings (all P for interaction > 0.05). CONCLUSION A higher WWI was associated with a higher prevalence of stroke. The results of this study underscore the value of the WWI in stroke prevention and management.
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Affiliation(s)
- Jiayi Ye
- West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Yanjie Hu
- West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Xinrong Chen
- West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Zhe Yin
- West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Xingzhu Yuan
- West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Liping Huang
- West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Ka Li
- West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China.
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Brown SSG, Westwater ML, Seidlitz J, Ziauddeen H, Fletcher PC. Hypothalamic volume is associated with body mass index. Neuroimage Clin 2023; 39:103478. [PMID: 37558541 PMCID: PMC10509524 DOI: 10.1016/j.nicl.2023.103478] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 06/19/2023] [Accepted: 07/18/2023] [Indexed: 08/11/2023]
Abstract
The hypothalamus is an important neuroendocrine hub for the control of appetite and satiety. In animal studies it has been established that hypothalamic lesioning or stimulation causes alteration to feeding behaviour and consequently body mass, and exposure to high calorie diets induces hypothalamic inflammation. These findings suggest that alterations in hypothalamic structure and function are both a cause and a consequence of changes to food intake. However, there is limited in vivo human data relating the hypothalamus to obesity or eating disorders, in part due to technical problems relating to its small size. Here, we used a novel automated segmentation algorithm to exploratorily investigate the relationship between hypothalamic volume, normalised to intracranial volume, and body mass index (BMI). The analysis was applied across four independent datasets comprising of young adults (total n = 1,351 participants) spanning a range of BMIs (13.3 - 47.8 kg/m2). We compared underweight (including individuals with anorexia nervosa), healthy weight, overweight and obese individuals in a series of complementary analyses. We report that overall hypothalamic volume is significantly larger in overweight and obese groups of young adults. This was also observed for a number of hypothalamic sub-regions. In the largest dataset (the HCP-Young Adult dataset (n = 1111)) there was a significant relationship between hypothalamic volume and BMI. We suggest that our findings of a positive relationship between hypothalamic volume and BMI is potentially consistent with hypothalamic inflammation as seen in animal models in response to high fat diet, although more research is needed to establish a causal relationship. Overall, we present novel, in vivo findings that link elevated BMI to altered hypothalamic structure. This has important implications for study of the neural mechanisms of obesity in humans.
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Affiliation(s)
- Stephanie S G Brown
- Department of Psychiatry, University of Cambridge, Addenbrookes Hospital, Cambridge CB2 0QQ, United Kingdom.
| | - Margaret L Westwater
- Department of Psychiatry, University of Cambridge, Addenbrookes Hospital, Cambridge CB2 0QQ, United Kingdom; Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX, United Kingdom
| | - Jakob Seidlitz
- Department of Child and Adolescent Psychiatry and Behavioral Science, Children's Hospital of Philadelphia, Philadelphia, PA, USA; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; Lifespan Brain Institute of Children's Hospital of Philadelphia and University of Pennsylvania, Philadelphia, PA, USA
| | - Hisham Ziauddeen
- Department of Psychiatry, University of Cambridge, Addenbrookes Hospital, Cambridge CB2 0QQ, United Kingdom
| | - Paul C Fletcher
- Department of Psychiatry, University of Cambridge, Addenbrookes Hospital, Cambridge CB2 0QQ, United Kingdom; Wellcome Trust MRC Institute of Metabolic Science, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0QQ, United Kingdom; Cambridgeshire and Peterborough NHS Trust, United Kingdom
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28
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Zhou W, Xie Y, Yu L, Yu C, Bao H, Cheng X. Positive association between weight-adjusted-waist index and dementia in the Chinese population with hypertension: a cross-sectional study. BMC Psychiatry 2023; 23:519. [PMID: 37468882 DOI: 10.1186/s12888-023-05027-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 07/13/2023] [Indexed: 07/21/2023] Open
Abstract
PURPOSE The links between obesity and dementia remain equivocal. Therefore, this study aimed to explore the association between weight-adjusted waist index (WWI), a new anthropometric indicator reflecting obesity, and dementia in the Chinese population with hypertension. METHODS A total of 10,289 participants with hypertension were enrolled in this cross-sectional study, a subset of the China H-type hypertension registry study. WWI was calculated as waist circumference (WC) divided by the square root of bodyweight. Mini-mental state examination (MMSE) scale was performed to evaluate the cognitive function. According to educational background, different MMSE cut-off values were applied to define dementia: < 24 for participants with ≥ 7 years of education, < 20 for those with 1-6 years of education, and < 17 for illiterate participants. Multivariable linear regression and multivariable binary logistic regression analyses were conducted to assess the associations between WWI and MMSE and dementia, respectively. RESULTS Overall, the mean age was 63.7 ± 9.7 years, and 49.0% were males. Multivariate linear regression analyses showed that WWI was negatively associated with MMSE (β, -1.09; 95% confidence interval [CI]: -1.24, -0.94). Consistently, multivariable binary logistic regression analyses found a positive association between WWI and the risk of dementia (odds ratio [OR], 1.45; 95% CI: 1.35, 1.56). Compared with individuals in quartile 1 of WWI, the adjusted β and OR values of WWI for MMSE and dementia were -2.28 (95% CI: -2.62, -1.94) and 2.12 (95% CI: 1.81, 2.48), respectively. Results of smoothing curve fitting confirmed the linear association between WWI and MMSE and dementia. Subgroup analysis showed a stronger association between WWI and dementia in participants with hypertension with midday napping. CONCLUSION WWI was independently and positively associated with dementia among the population with hypertension, especially in those with midday napping. The data suggests that WWI may serve as a simple and effective tool for the assessment of the risk of dementia in clinical practice.
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Affiliation(s)
- Wei Zhou
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, 330006, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, 330006, Jiangxi, China
| | - Yanyou Xie
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, 330006, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, 330006, Jiangxi, China
- Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Lingling Yu
- Department of Rehabilitation, The Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
| | - Chao Yu
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, 330006, Jiangxi, China.
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, 330006, Jiangxi, China.
| | - Huihui Bao
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, 330006, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, 330006, Jiangxi, China
- Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Xiaoshu Cheng
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Sub-Center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, 330006, Jiangxi, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, 330006, Jiangxi, China
- Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
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Recalde M, Pistillo A, Davila-Batista V, Leitzmann M, Romieu I, Viallon V, Freisling H, Duarte-Salles T. Longitudinal body mass index and cancer risk: a cohort study of 2.6 million Catalan adults. Nat Commun 2023; 14:3816. [PMID: 37391446 PMCID: PMC10313757 DOI: 10.1038/s41467-023-39282-y] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/31/2023] [Indexed: 07/02/2023] Open
Abstract
Single body mass index (BMI) measurements have been associated with increased risk of 13 cancers. Whether life course adiposity-related exposures are more relevant cancer risk factors than baseline BMI (ie, at start of follow-up for disease outcome) remains unclear. We conducted a cohort study from 2009 until 2018 with population-based electronic health records in Catalonia, Spain. We included 2,645,885 individuals aged ≥40 years and free of cancer in 2009. After 9 years of follow-up, 225,396 participants were diagnosed with cancer. This study shows that longer duration, greater degree, and younger age of onset of overweight and obesity during early adulthood are positively associated with risk of 18 cancers, including leukemia, non-Hodgkin lymphoma, and among never-smokers, head and neck, and bladder cancers which are not yet considered as obesity-related cancers in the literature. Our findings support public health strategies for cancer prevention focussing on preventing and reducing early overweight and obesity.
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Affiliation(s)
- Martina Recalde
- International Agency for Research on Cancer (IARC-WHO), 25 avenue Tony Garnier, CS 90627, 69366 Lyon Cedex 07, Lyon, France
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
- Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Andrea Pistillo
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain
| | - Veronica Davila-Batista
- International Agency for Research on Cancer (IARC-WHO), 25 avenue Tony Garnier, CS 90627, 69366 Lyon Cedex 07, Lyon, France.
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Isabelle Romieu
- Center for Research on Population Health, National Institute of Public Health, Mexico City, Mexico
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC-WHO), 25 avenue Tony Garnier, CS 90627, 69366 Lyon Cedex 07, Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC-WHO), 25 avenue Tony Garnier, CS 90627, 69366 Lyon Cedex 07, Lyon, France.
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), Barcelona, Spain.
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30
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de Andrade Mesquita L, Wayerbacher LF, Schwartsmann G, Gerchman F. Obesity, diabetes, and cancer: epidemiology, pathophysiology, and potential interventions. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2023; 67:e000647. [PMID: 37364149 PMCID: PMC10660996 DOI: 10.20945/2359-3997000000647] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 02/22/2023] [Indexed: 06/28/2023]
Abstract
The proportion of deaths attributable to cancer is rising, and malignant neoplasms have become the leading cause of death in high-income countries. Obesity and diabetes are now recognized as risk factors for several types of malignancies, especially endometrial, colorectal, and postmenopausal breast cancers. Mechanisms implicated include disturbances in lipid-derived hormone secretion, sex steroids biosynthesis, hyperinsulinemia, and chronic inflammation. Intentional weight loss is associated with a mitigation of risk for obesity-related cancers, a phenomenon observed specially with bariatric surgery. The impact of pharmacological interventions for obesity and diabetes is not uniform: while metformin seems to protect against cancer, other agents such as lorcaserin may increase the risk of malignancies. However, these interpretations must be carefully considered, since most data stem from bias-prone observational studies, and high-quality randomized controlled trials with appropriate sample size and duration are needed to achieve definite conclusions. In this review, we outline epidemiological and pathophysiological aspects of the relationship between obesity, diabetes, and malignancies. We also highlight pieces of evidence regarding treatment effects on cancer incidence in these populations.
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Affiliation(s)
- Leonardo de Andrade Mesquita
- Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brasil, Porto Alegre, RS, Brasil
| | - Laura Fink Wayerbacher
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
| | - Gilberto Schwartsmann
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brasil, Porto Alegre, RS, Brasil
- Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
| | - Fernando Gerchman
- Programa de Pós-graduação em Ciências Médicas: Endocrinologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brasil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brasil, Porto Alegre, RS, Brasil,
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Christakoudi S, Tsilidis KK, Dossus L, Rinaldi S, Weiderpass E, Antoniussen CS, Dahm CC, Tjønneland A, Mellemkjær L, Katzke V, Kaaks R, Schulze MB, Masala G, Grioni S, Panico S, Tumino R, Sacerdote C, May AM, Monninkhof EM, Quirós JR, Bonet C, Sánchez MJ, Amiano P, Chirlaque MD, Guevara M, Rosendahl AH, Stocks T, Perez-Cornago A, Tin Tin S, Heath AK, Aglago EK, Peruchet-Noray L, Freisling H, Riboli E. A body shape index (ABSI) is associated inversely with post-menopausal progesterone-receptor-negative breast cancer risk in a large European cohort. BMC Cancer 2023; 23:562. [PMID: 37337133 PMCID: PMC10278318 DOI: 10.1186/s12885-023-11056-1] [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: 01/16/2023] [Accepted: 06/10/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Associations of body shape with breast cancer risk, independent of body size, are unclear because waist and hip circumferences are correlated strongly positively with body mass index (BMI). METHODS We evaluated body shape with the allometric "a body shape index" (ABSI) and hip index (HI), which compare waist and hip circumferences, correspondingly, among individuals with the same weight and height. We examined associations of ABSI, HI, and BMI (per one standard deviation increment) with breast cancer overall, and according to menopausal status at baseline, age at diagnosis, and oestrogen and progesterone receptor status (ER+/-PR+/-) in multivariable Cox proportional hazards models using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. RESULTS During a mean follow-up of 14.0 years, 9011 incident breast cancers were diagnosed among 218,276 women. Although there was little evidence for association of ABSI with breast cancer overall (hazard ratio HR = 0.984; 95% confidence interval: 0.961-1.007), we found borderline inverse associations for post-menopausal women (HR = 0.971; 0.942-1.000; n = 5268 cases) and breast cancers diagnosed at age ≥ 55 years (HR = 0.976; 0.951-1.002; n = 7043) and clear inverse associations for ER + PR- subtypes (HR = 0.894; 0.822-0.971; n = 726) and ER-PR- subtypes (HR = 0.906; 0.835-0.983 n = 759). There were no material associations with HI. BMI was associated strongly positively with breast cancer overall (HR = 1.074; 1.049-1.098), for post-menopausal women (HR = 1.117; 1.085-1.150), for cancers diagnosed at age ≥ 55 years (HR = 1.104; 1.076-1.132), and for ER + PR + subtypes (HR = 1.122; 1.080-1.165; n = 3101), but not for PR- subtypes. CONCLUSIONS In the EPIC cohort, abdominal obesity evaluated with ABSI was not associated with breast cancer risk overall but was associated inversely with the risk of post-menopausal PR- breast cancer. Our findings require validation in other cohorts and with a larger number of PR- breast cancer cases.
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Affiliation(s)
- Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK.
- Department of Inflammation Biology, School of Immunology & Microbial Sciences, King's College London, London, UK.
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Laure Dossus
- International Agency for Research on Cancer (IARC/WHO), 25 avenue Tony Garnier, Lyon, CS 90627, 69366 LYON CEDEX 07, France
| | - Sabina Rinaldi
- International Agency for Research on Cancer (IARC/WHO), 25 avenue Tony Garnier, Lyon, CS 90627, 69366 LYON CEDEX 07, France
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC/WHO), 25 avenue Tony Garnier, Lyon, CS 90627, 69366 LYON CEDEX 07, France
| | - Christian S Antoniussen
- Department of Public Health, Aarhus University, Bartholins Allé 2, Aarhus C, DK-8000, Denmark
| | - Christina C Dahm
- Department of Public Health, Aarhus University, Bartholins Allé 2, Aarhus C, DK-8000, Denmark
| | - Anne Tjønneland
- Diet, Cancer and Health, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, DK-2100, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Lene Mellemkjær
- Diet, Cancer and Health, Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, DK-2100, Denmark
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, 14558, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Sara Grioni
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Venezian 1, Milano, 20133, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Rosario Tumino
- Hyblean Association Epidemiological Research AIRE - ONLUS, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Via Santena 7, Turin, 10126, Italy
| | - Anne M May
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, P.O. Box 85500, Utrecht, 3508 GA, Netherlands
| | - Evelyn M Monninkhof
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, P.O. Box 85500, Utrecht, 3508 GA, Netherlands
| | | | - Catalina Bonet
- Unit of Nutrition and Cancer, Catalan Institute of Oncology - ICO, L'Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group; Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, 18011, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, 18012, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, 28029, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, 18071, Spain
| | - Pilar Amiano
- Ministry of Health of the Basque Government, Sub Directorate for Public Health and Addictions of Gipuzkoa, San Sebastian, Spain
- Epidemiology of Chronic and Communicable Diseases Group, Biodonostia Health Research Institute, San Sebastián, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - María-Dolores Chirlaque
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Murcia, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Marcela Guevara
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, 28029, Spain
- Navarra Public Health Institute, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Ann H Rosendahl
- Department of Clinical Sciences Lund, Oncology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Tanja Stocks
- Department of Translational Medicine, Lund University, Malmö, Sweden
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sandar Tin Tin
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Elom K Aglago
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
| | - Laia Peruchet-Noray
- International Agency for Research on Cancer (IARC/WHO), 25 avenue Tony Garnier, Lyon, CS 90627, 69366 LYON CEDEX 07, France
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC/WHO), 25 avenue Tony Garnier, Lyon, CS 90627, 69366 LYON CEDEX 07, France
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, Norfolk Place, London, W2 1PG, UK
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32
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Candio P, Mujica FP, Frew E. Socio-economic accounting of inequalities in excess weight: a population-based analysis. BMC Public Health 2023; 23:721. [PMID: 37081498 PMCID: PMC10116779 DOI: 10.1186/s12889-023-15592-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 04/03/2023] [Indexed: 04/22/2023] Open
Abstract
BACKGROUND The prevalence of excess weight has been increasing globally in the last decades, affecting disproportionally adults from low socio-economic backgrounds and putting undue pressure on health systems and societal resources. In England, tackling unfair and unjust health inequalities is at the heart of national public health policy, and a prerequisite for enabling these decision makers to set policy priorities is an understanding of the prevalence and determinants of excess weight inequalities in their local population. METHODS We conducted both pooled (England) and regional-level (nine regions: North-East, North-West, Yorkshire and Humber, East Midlands, West Midlands, East of England, London, South East and South West) analyses of individual level data from a nationally representative sample of adults (N = 6,387). We used the Corrected Concentration Index (CCI) to measure absolute inequalities in excess weight across three dimensions of socio-economic deprivation: neighbourhood-level deprivation, occupational status and educational qualification. We used a Shapley decomposition method to evaluate their relative contribution to inequality. RESULTS At a national level, all three dimensions of socio-economic deprivation were found to be positively associated with excess weight across the adult population, as measured by the CCI, with educational qualification ranking first [CCI: -0.090, p < 0.01], closely followed by neighbourhood-level deprivation [CCI: -0.050, p < 0.01]. Large variation was found between regions and genders, with inequality being either considerably higher or exclusively patterned among women. The strongest independent factor contributing to excess weight inequalities was having a long-lasting limiting illness, especially among women and towards the right tail of the excess weight spectrum. Heterogeneous patterns of contribution across the excess weight spectrum were found, however age played a dominant role toward the left tail of the distribution. CONCLUSIONS While socio-economic inequalities in excess weight exist in the English adult population, our findings underscore the importance of considering multiple dimensions of deprivation and the unique needs of different populations when developing policies to address overweight and obesity. Targeted interventions for adults with overweight and obesity with long-lasting illnesses and women can generate both short-term and long-term economic benefits, by reducing healthcare costs and increasing workforce productivity.
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Affiliation(s)
- Paolo Candio
- Department of Economics and Management, University of Trento, Trento, Italy.
- Centre for Economics of Obesity, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
| | - Fiorella Parra Mujica
- Erasmus School of Health Policy and Management (ESHPM), Erasmus University Rotterdam, Rotterdam, Netherlands
- Nuffield Department of Population Health, Health Economics Research Centre (HERC), University of Oxford, Oxford, UK
| | - Emma Frew
- Centre for Economics of Obesity, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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Gram MA, Olsen A, Andersen ZJ, Tjønneland A, Mellemkjær L. Associations of body fat mass and fat-free mass with breast cancer incidence in postmenopausal women: A Danish prospective cohort study. Ann Epidemiol 2023; 80:30-36. [PMID: 36750141 DOI: 10.1016/j.annepidem.2023.01.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 01/17/2023] [Accepted: 01/30/2023] [Indexed: 02/07/2023]
Abstract
PURPOSE Previous studies have established associations between body mass index and breast cancer, but fat mass is a more direct measure of the amount of fat tissue in the body than body mass index. This study examined the association between body fat mass, fat-free mass, and other anthropometric measures and breast cancer in postmenopausal women according to use of hormone replacement therapy (HRT). METHODS From the Danish Diet, Cancer and Health cohort established during 1993-1997, 24,219 postmenopausal women were included who had anthropometric and bioimpedance measurements performed by a laboratory technician at baseline. Information on breast cancer incidence (outcome), other cancer diagnoses, and vital status (censoring variables) through 2016 was obtained from nationwide registers. Cox regression models were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) while adjusting for known breast cancer risk factors and stratifying by HRT use and running age. RESULTS During a total of 431,104 person-years, 1919 women developed breast cancer. Among never-users of HRT, the HR for breast cancer at or after age 65 years was 1.06 (95% CI, 1.03-1.08) per 1 kg/m2 higher body fat mass index (BFMI), and 1.30 (95% CI, 1.14-1.47) per 10% higher body fat percentage. The corresponding HRs for breast cancer before age 65 years were close to unity. The HRs were 1.11 (95% CI, 1.02-1.21) and 1.17 (95% CI, 1.10-1.23) for each 1 kg/m2 increase in fat-free mass index, respectively, for breast cancer below and above age 65 years. Mutual adjustment attenuated the HRs for BFMI and body fat percentage, whereas the HRs for fat-free mass index were largely unaffected. Among ever-users of HRT, there was no statistical significant association between any of the body composition measures and breast cancer incidence in the two age groups. CONCLUSIONS Among postmenopausal women who never used HRT, BFMI was associated with breast cancer in women aged 65 years or older. Fat-free mass index was found to be more strongly associated with postmenopausal breast cancer incidence than BFMI independently of age in never-users of HRT.
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Affiliation(s)
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Wang SY, Zhang WS, Jiang CQ, Jin YL, Zhu T, Zhu F, Xu L. Association of novel and conventional obesity indices with colorectal cancer risk in older Chinese: a 14-year follow-up of the Guangzhou Biobank Cohort Study. BMC Cancer 2023; 23:286. [PMID: 36991401 DOI: 10.1186/s12885-023-10762-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 03/21/2023] [Indexed: 03/30/2023] Open
Abstract
Abstract
Background
Visceral adiposity index (VAI) and a body shape index (ABSI) were newly developed indices for visceral fat mass. Whether they are superior to conventional obesity indices in predicting colorectal cancer (CRC) remains unclear. We examined the associations of VAI and ABSI with CRC risk, and investigated their performance in discriminating CRC risk compared with conventional obesity indices in the Guangzhou Biobank Cohort Study.
Methods
A total of 28,359 participants aged 50 + years without cancer history at baseline (2003-8) were included. CRC were identified from the Guangzhou Cancer Registry. Cox proportional hazards regression was used to assess the association of obesity indices with the CRC risk. Discriminative abilities of obesity indices were assessed using Harrell’s C-statistic.
Results
During an average follow-up of 13.9 (standard deviation = 3.6) years, 630 incident CRC cases were recorded. After adjusting for potential confounders, the hazard ratio (95% confidence interval) of incident CRC for per standard deviation increment in VAI, ABSI, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) was 1.04 (0.96, 1.12), 1.13 (1.04, 1.22), 1.08 (1.00, 1.17), 1.15 (1.06, 1.24), 1.16 (1.08, 1.25)and 1.13 (1.04, 1.22), respectively. Similar results for colon cancer were found. However, the associations of obesity indices with risk of rectal cancer were non-significant. All obesity indices showed similar discriminative abilities (C-statistics from 0.640 to 0.645), with WHR showing the highest whilst VAI and BMI the lowest.
Conclusions
ABSI, but not VAI, was positively associated with a higher risk of CRC. However, ABSI was not superior to the conventional abdominal obesity indices in predicting CRC.
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Obesity and main urologic cancers: Current systematic evidence, novel biological mechanisms, perspectives and challenges. Semin Cancer Biol 2023; 91:70-98. [PMID: 36893965 DOI: 10.1016/j.semcancer.2023.03.002] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/06/2023] [Accepted: 03/06/2023] [Indexed: 03/09/2023]
Abstract
Urologic cancers (UC) account for 13.1% of all new cancer cases and 7.9% of all cancer-related deaths. A growing body of evidence has indicated a potential causal link between obesity and UC. The aim of the present review is to appraise in a critical and integrative manner evidence from meta-analyses and mechanistic studies on the role of obesity in four prevalent UC (kidney-KC, prostate-PC, urinary bladder-UBC, and testicular cancer-TC). Special emphasis is given on Mendelian Randomization Studies (MRS) corroborating a genetic causal association between obesity and UC, as well as on the role of classical and novel adipocytokines. Furthermore, the molecular pathways that link obesity to the development and progression of these cancers are reviewed. Available evidence indicates that obesity confers increased risk for KC, UBC, and advanced PC (20-82%, 10-19%, and 6-14%, respectively), whereas for TC adult height (5-cm increase) may increase the risk by 13%. Obese females tend to be more susceptible to UBC and KC than obese males. MRS have shown that a higher genetic-predicted BMI may be causally linked to KC and UBC but not PC and TC. Biological mechanisms that are involved in the association between excess body weight and UC include the Insulin-like Growth Factor axis, altered availability of sex hormones, chronic inflammation and oxidative stress, abnormal secretion of adipocytokines, ectopic fat deposition, dysbiosis of the gastrointestinal and urinary tract microbiomes and circadian rhythm dysregulation. Anti-hyperglycemic and non-steroidal anti-inflammatory drugs, statins, and adipokine receptor agonists/antagonists show potential as adjuvant cancer therapies. Identifying obesity as a modifiable risk factor for UC may have significant public health implications, allowing clinicians to tailor individualized prevention strategies for patients with excess body weight.
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Hao Y, Xiao J, Liang Y, Wu X, Zhang H, Xiao C, Zhang L, Burgess S, Wang N, Zhao X, Kraft P, Li J, Jiang X. Reassessing the causal role of obesity in breast cancer susceptibility: a comprehensive multivariable Mendelian randomization investigating the distribution and timing of exposure. Int J Epidemiol 2023; 52:58-70. [PMID: 35848946 PMCID: PMC7614158 DOI: 10.1093/ije/dyac143] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 06/20/2022] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Previous Mendelian randomization (MR) studies on obesity and risk of breast cancer adopted a small number of instrumental variables and focused mainly on the crude total effect. We aim to investigate the independent causal effect of obesity on breast cancer susceptibility, considering the distribution of fat, covering both early and late life. METHODS Using an enlarged set of female-specific genetic variants associated with adult general [body mass index (BMI)] and abdominal obesity [waist-to-hip ratio (WHR) with and without adjustment for BMI, WHR and WHRadjBMI] as well as using sex-combined genetic variants of childhood obesity (childhood BMI), we performed a two-sample univariable MR to re-evaluate the total effect of each obesity-related exposure on overall breast cancer (Ncase = 133 384, Ncontrol = 113 789). We further looked into its oestrogen receptor (ER)-defined subtypes (NER+ = 69 501, NER- = 21 468, Ncontrol = 105 974). Multivariable MR was applied to estimate the independent causal effect of each obesity-related exposure on breast cancer taking into account confounders as well as to investigate the independent effect of adult and childhood obesity considering their inter-correlation. RESULTS In univariable MR, the protective effects of both adult BMI [odds ratio (OR) = 0.89, 95% CI = 0.83-0.96, P = 2.06 × 10-3] and childhood BMI (OR = 0.78, 95% CI = 0.70-0.87, P = 4.58 × 10-6) were observed for breast cancer overall. Comparable effects were found in ER+ and ER- subtypes. Similarly, genetically predicted adult WHR was also associated with a decreased risk of breast cancer overall (OR = 0.87, 95% CI = 0.80-0.96, P = 3.77 × 10-3), restricting to ER+ subtype (OR = 0.88, 95% CI = 0.80-0.98, P = 1.84 × 10-2). Conditional on childhood BMI, the effect of adult general obesity on breast cancer overall attenuated to null (BMI: OR = 1.00, 95% CI = 0.90-1.10, P = 0.96), whereas the effect of adult abdominal obesity attenuated to some extent (WHR: OR = 0.90, 95% CI = 0.82-0.98, P = 1.49 × 10-2; WHRadjBMI: OR = 0.92, 95% CI = 0.86-0.99, P = 1.98 × 10-2). On the contrary, an independent protective effect of childhood BMI was observed in breast cancer overall, irrespective of adult measures (adjusted for adult BMI: OR = 0.84, 95% CI = 0.77-0.93, P = 3.93 × 10-4; adjusted for adult WHR: OR = 0.84, 95% CI = 0.76-0.91, P = 6.57 × 10-5; adjusted for adult WHRadjBMI: OR = 0.80, 95% CI = 0.74-0.87, P = 1.24 × 10-7). CONCLUSION Although successfully replicating the inverse causal relationship between adult obesity-related exposures and risk of breast cancer, our study demonstrated such effects to be largely (adult BMI) or partly (adult WHR or WHRadjBMI) attributed to childhood obesity. Our findings highlighted an independent role of childhood obesity in affecting the risk of breast cancer as well as the importance of taking into account the complex interplay underlying correlated exposures.
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Affiliation(s)
- Yu Hao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yu Liang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Haoyu Zhang
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Stephen Burgess
- MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Cambridge, UK
| | - Nan Wang
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xunying Zhao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
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Sedlmeier AM, Viallon V, Ferrari P, Peruchet-Noray L, Fontvieille E, Amadou A, Seyed Khoei N, Weber A, Baurecht H, Heath AK, Tsilidis K, Kaaks R, Katzke V, Inan-Eroglu E, Schulze MB, Overvad K, Bonet C, Ubago-Guisado E, Chirlaque MD, Ardanaz E, Perez-Cornago A, Pala V, Tumino R, Sacerdote C, Pasanisi F, Borch KB, Rylander C, Weiderpass E, Gunter MJ, Fervers B, Leitzmann MF, Freisling H. Body shape phenotypes of multiple anthropometric traits and cancer risk: a multi-national cohort study. Br J Cancer 2023; 128:594-605. [PMID: 36460776 PMCID: PMC9938222 DOI: 10.1038/s41416-022-02071-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 11/10/2022] [Accepted: 11/14/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Classical anthropometric traits may fail to fully represent the relationship of weight, adiposity, and height with cancer risk. We investigated the associations of body shape phenotypes with the risk of overall and site-specific cancers. METHODS We derived four distinct body shape phenotypes from principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). The study included 340,152 men and women from 9 European countries, aged mostly 35-65 years at recruitment (1990-2000) in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS After a median follow-up of 15.3 years, 47,110 incident cancer cases were recorded. PC1 (overall adiposity) was positively associated with the risk of overall cancer, with a HR per 1 standard deviation (SD) increment equal to 1.07 (95% confidence interval 1.05 to 1.08). Positive associations were observed with 10 cancer types, with HRs (per 1 SD) ranging from 1.36 (1.30-1.42) for endometrial cancer to 1.08 (1.03-1.13) for rectal cancer. PC2 (tall stature with low WHR) was positively associated with the risk of overall cancer (1.03; 1.02-1.04) and five cancer types which were not associated with PC1. PC3 (tall stature with high WHR) was positively associated with the risk of overall cancer (1.04; 1.03-1.05) and 12 cancer types. PC4 (high BMI and weight with low WC and HC) was not associated with overall risk of cancer (1.00; 0.99-1.01). CONCLUSIONS In this multi-national study, distinct body shape phenotypes were positively associated with the incidence of 17 different cancers and overall cancer.
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Affiliation(s)
- Anja M Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Laia Peruchet-Noray
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Amina Amadou
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
- INSERM UMR1296 Radiation: Defense, Health, Environment, Lyon, France
| | - Nazlisadat Seyed Khoei
- Department of Nutritional Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria
| | - Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Kostas Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Elif Inan-Eroglu
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Catalina Bonet
- Unit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Esther Ubago-Guisado
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
| | - María-Dolores Chirlaque
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
- Department of Epidemiology, Regional Health Council, Murcia, Spain
- IMIB-Arrixaca, Murcia University, Murcia, Spain
| | - Eva Ardanaz
- CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain
- Navarra Public Health Institute, IdiSNA, Pamplona, Spain
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE - ONLUS, Ragusa, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Fabrizio Pasanisi
- Clinical Nutrition Unit, Department of Clinical Medicine and Surgery, Federico II University Hospital, Naples, Italy
| | - Kristin B Borch
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Charlotta Rylander
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Elisabete Weiderpass
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Marc J Gunter
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France
| | - Béatrice Fervers
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
- INSERM UMR1296 Radiation: Defense, Health, Environment, Lyon, France
| | - Michael F Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC), Nutrition and Metabolism Branch, Lyon, France.
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Mandic M, Li H, Safizadeh F, Niedermaier T, Hoffmeister M, Brenner H. Is the association of overweight and obesity with colorectal cancer underestimated? An umbrella review of systematic reviews and meta-analyses. Eur J Epidemiol 2023; 38:135-144. [PMID: 36680645 PMCID: PMC9905196 DOI: 10.1007/s10654-022-00954-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 12/08/2022] [Indexed: 01/22/2023]
Abstract
Although high body-mass index (BMI) is associated with increased risk of developing colorectal cancer (CRC), many CRC patients lose weight before diagnosis. BMI is often reported close to diagnosis, which may have led to underestimation or even reversal of direction of the BMI-CRC association. We aimed to assess if and to what extent potential bias from prediagnostic weight loss has been considered in available epidemiological evidence. We searched PubMed and Web of Science until May 2022 for systematic reviews and meta-analyses investigating the BMI-CRC association. Information on design aspects and results was extracted, including if and how the reviews handled prediagnostic weight loss as a potential source of bias. Additionally, we analyzed how individual cohort studies included in the latest systematic review handled the issue. Overall, 18 reviews were identified. None of them thoroughly considered or discussed prediagnostic weight loss as a potential source of bias. The majority (15/21) of cohorts included in the latest review did not exclude any initial years of follow-up from their main analysis. Although the majority of studies reported having conducted sensitivity analyses in which initial years of follow-up were excluded, results were reported very heterogeneously and mostly for additional exclusions of 1-2 years only. Where explicitly reported, effect estimates mostly increased with increasing length of exclusion. The impact of overweight and obesity on CRC risk may be larger than suggested by the existing epidemiological evidence.
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Affiliation(s)
- Marko Mandic
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, LMU Munich, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Hengjing Li
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Fatemeh Safizadeh
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
- Medical Faculty Heidelberg, Heidelberg University, Heidelberg, Germany
| | - Tobias Niedermaier
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), National Center for Tumor Diseases (NCT), Heidelberg, Germany.
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
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Association of prebiotic fiber intake with colorectal cancer risk: the PrebiotiCa study. Eur J Nutr 2023; 62:455-464. [PMID: 36089645 PMCID: PMC9899730 DOI: 10.1007/s00394-022-02984-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 08/03/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE To evaluate the association between the intake of specific fibers with prebiotic activity, namely inulin-type fructans (ITFs), fructooligosaccharides (FOSs) and galactooligosaccharides (GOSs), and colorectal cancer risk. METHODS Within the PrebiotiCa study, we used data from a multicentric case-control study conducted in Italy and including 1953 incident, histologically confirmed, colorectal cancer patients and 4154 hospital controls. The amount of six prebiotic molecules [ITFs, nystose (FOS), kestose (FOS), 1F-β-fructofuranosylnystose (FOS), raffinose (GOS) and stachyose (GOS)] in a variety of foods was quantified via laboratory analyses. Subjects' prebiotic fiber intake was estimated by multiplying food frequency questionnaire intake by the prebiotic content of each food item. The odds ratios (OR) of colorectal cancer for quintiles of intakes were derived from logistic regression models including terms for major confounders and total energy intake. RESULTS GOSs intake was inversely associated with colorectal cancer risk. The OR for the highest versus the lowest quintile of intake were 0.73 (95% confidence interval, CI 0.58-0.92) for raffinose and 0.64 (95% CI 0.53-0.77) for stachyose, with significant inverse trends across quintiles. No association was found with total ITFs and FOSs. The association with stachyose was stronger for colon (continuous OR = 0.74, 95% CI 0.66-0.83) than rectal cancer (OR = 0.89, 95% CI 0.79-1.02). CONCLUSION Colorectal cancer risk was inversely associated with the intake of dietary GOSs, but not ITFs and FOSs.
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Zhang Y, Lin J, You Z, Tu H, He P, Li J, Gao R, Liu Z, Xi Z, Li Z, Lu Y, Hu Q, Li C, Ge F, Huo Z, Qiao G. Cancer risks in rheumatoid arthritis patients who received immunosuppressive therapies: Will immunosuppressants work? Front Immunol 2022; 13:1050876. [PMID: 36605209 PMCID: PMC9807750 DOI: 10.3389/fimmu.2022.1050876] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Background Exploring the cancer risks of rheumatoid arthritis (RA) patients with disease-modifying anti-rheumatic drugs (DMARDs) can help detect, evaluate, and treat malignancies at an early stage for these patients. Thus, a comprehensive analysis was conducted to determine the cancer risk of RA patients using different types of DMARDs and analyze their relationship with tumor mutational burdens (TMBs) reflecting immunogenicity. Methods A thorough search of PubMed, EMBASE, Web of Science, and Medline was conducted up to 20 August 2022. Standardized incidence ratios (SIRs) were constructed with a random-effect model to determine risks for different types of malignancies in comparison with the general population. We also analyzed the correlation between SIRs and TMBs using linear regression (LR). Results From a total of 22 studies, data on 371,311 RA patients receiving different types of DMARDs, 36 kinds of malignancies, and four regions were available. Overall cancer risks were 1.15 (SIR 1.15; 1.09-1.22; p < 0.001) and 0.91 (SIR 0.91; 0.72-1.14; p = 0.402) in RA populations using conventional synthetic DMARDs (csDMARDs) and biologic DMARDs (bDMARDs), respectively. RA patients taking csDMARDs displayed a 1.77-fold lung cancer risk (SIR 1.77; 1.50-2.09; p < 0.001), a 2.15-fold lymphoma risk (SIR 2.15; 1.78-2.59; p < 0.001), and a 1.72-fold melanoma risk (SIR 1.72; 1.26-2.36; p = 0.001). Correlation coefficients between TMBs and SIRs were 0.22 and 0.29 from those taking csDMARDs and bDMARDs, respectively. Conclusion We demonstrated a cancer risk spectrum of RA populations using DMARDs. Additionally, TMBs were not associated with elevated cancer risks in RA patients following immunosuppressive therapy, which confirmed that iatrogenic immunosuppression might not increase cancer risks in patients with RA. Interpretation Changes were similar in cancer risk after different immunosuppressive treatments, and there was a lack of correlation between SIRs and TMBs. These suggest that we should look for causes of increased risks from the RA disease itself, rather than using different types of DMARDs.
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Affiliation(s)
- Yuzhuo Zhang
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jiangpeng Lin
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhixuan You
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Hengjia Tu
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Peng He
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jiarong Li
- Department of Medical Imaging, Changzhi Medical College, Changzhi, Shanxi, China
| | - Rui Gao
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Ziyu Liu
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Zhiyuan Xi
- College of Clinical Medicine, Jilin University, Changchun, Jilin, China
| | - Zekun Li
- Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yi Lu
- Guangzhou Medical University, Guangzhou, Guangdong, China
- Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiyuan Hu
- Shanxi Medical University, Taiyuan, Shanxi, China
| | - Chenhui Li
- School of Basic Medical Sciences, Qiqihar Medical University, Qiqihar, Heilongjiang, China
| | - Fan Ge
- Guangzhou Medical University, Guangzhou, Guangdong, China
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhenyu Huo
- Guangzhou Medical University, Guangzhou, Guangdong, China
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guibin Qiao
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 234] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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Parkinson M, Thompson J. An exploration of the challenges of providing person-centred care for older care home residents with obesity. HEALTH & SOCIAL CARE IN THE COMMUNITY 2022; 30:e1112-e1122. [PMID: 34268838 DOI: 10.1111/hsc.13519] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 05/27/2021] [Accepted: 07/04/2021] [Indexed: 06/13/2023]
Abstract
The aim of this study was to explore care home staff's views on the prevalence of obesity in older people and how well prepared they were for any rise in applications for placements. Thematic analysis was used to analyse focus group interview data collected from seven care homes/33 participants in N.E. England. Findings revealed rises in demand by older people with obesity for care home admittance, consistent with rising prevalence of obesity in this demographic nationally. Findings also highlight implications of rising prevalence of obesity in older people, particularly care home staff's ability to deliver person-centred care (PCC) and the importance of appropriate support/recognition of this as an emergent issue to be addressed at a higher executive level and by health/social care authorities. Ways of ensuring PCC are discussed. Given continuing trends towards rising prevalence of obesity in this population, the findings possess broader translational potential.
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Affiliation(s)
- Mark Parkinson
- Faculty of Health and Life Sciences, Northumbria University, Newcastle, UK
- Fuse, Centre for Translational Research in Public Health-a UK Clinical Research Collaboration Centre for Translational Research in Public Health & NIHR School for Public Health Research (SPHR) Centre of Excellence, Newcastle, UK
| | - Juliana Thompson
- Faculty of Health and Life Sciences, Northumbria University, Newcastle, UK
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Ku HC, Cheng CF. Role of adipocyte browning in prostate and breast tumor microenvironment. Tzu Chi Med J 2022; 34:359-366. [PMID: 36578640 PMCID: PMC9791856 DOI: 10.4103/tcmj.tcmj_62_22] [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: 03/22/2022] [Revised: 04/06/2022] [Accepted: 04/15/2022] [Indexed: 12/31/2022] Open
Abstract
Prostate cancer (PC) and breast cancer (BC) are the most common cancers in men and women, respectively, in developed countries. The increased incidence of PC and BC largely reflects an increase in the prevalence of obesity and metabolic syndrome. In pathological conditions involving the development and progression of PC and BC, adipose tissue plays an important role via paracrine and endocrine signaling. The increase in the amount of local adipose tissue, specifically periprostatic adipose tissue, may be a key contributor to the PC pathobiology. Similarly, breast adipose tissue secretion affects various aspects of BC by influencing tumor progression, angiogenesis, metastasis, and microenvironment. In this context, the role of white adipose tissue (WAT) has been extensively studied. However, the influence of browning of the WAT on the development and progression of PC and BC is unclear and has received less attention. In this review, we highlight that adipose tissue plays a vital role in the regulation of the tumor microenvironment in PC or BC and highlight the probable underlying mechanisms linking adipose tissue with PC or BC. We further discuss whether the browning of WAT could be a therapeutic strategy for the treatment of PC and BC.
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Affiliation(s)
- Hui-Chen Ku
- Department of Pediatrics, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan
| | - Ching-Feng Cheng
- Department of Pediatrics, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei, Taiwan,Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan,Department of Pediatrics, School of Medicine, Tzu Chi University, Hualien, Taiwan,Address for correspondence: Dr. Ching-Feng Cheng, Department of Pediatrics, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, 289, Jianguo Road, Xindian District, New Taipei, Taiwan. E-mail:
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Bae YJ, Shin SJ, Kang HT. Body mass index at baseline directly predicts new-onset diabetes and to a lesser extent incident cardio-cerebrovascular events, but has a J-shaped relationship to all-cause mortality. BMC Endocr Disord 2022; 22:123. [PMID: 35545762 PMCID: PMC9097180 DOI: 10.1186/s12902-022-01041-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 05/04/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE The prevalence of diabetes mellitus (DM), cardio-cerebrovascular diseases (CCVDs) has increased during recent decades. We aimed to investigate the relationship between body mass index (BMI) and each of several outcomes (DM, CCVDs, or mortality) based on the Korean National Health Insurance Service-Health Screening cohort. METHODS BMI was categorized as appropriate for Asian populations, into underweight (< 18.5 kg/m2), normal (18.5-< 23 kg/m2), overweight (23-< 25 kg/m2), grade 1 obesity (25-< 30 kg/m2), grade 2 obesity (30-< 35 kg/m2), and grade 3 obesity (≥35 kg/m2). In addition, BMI was further stratified into one unit. Multivariate Cox proportional hazards regression analyses were conducted to examine the association between BMI category and the primary outcomes (DM, CCVDs, or mortality). RESULTS A total of 311,416 individuals were included. The median follow-up was 12.5 years. Compared to normal BMI, underweight, overweight, and grade 1-3 obese individuals had a higher risk of the primary outcomes (hazard ratio [95% confidence intervals] 1.293 [1.224-1.365], 1.101 [1.073-1.129], 1.320 [1.288-1.353], 1.789 [1.689-1.897], and 2.376 [2.019-2.857], respectively, in men and 1.084 [1.010-1.163], 1.150 [1.116-1.185], 1.385 [1.346-1.425], 1.865 [1.725-2.019], and 2.472 [2.025-3.028], respectively, in women). Setting the reference BMI to 20-< 21 kg/m2 and categorizing into one unit increment, BMI was associated with the primary outcomes in a J-shaped manner in both sexes. The risk of DM increased with higher BMI in both sexes, while all-cause mortality decreased in men with a BMI 21-< 31 kg/m2 and women with BMI 22-< 30 kg/m2. CONCLUSIONS BMI was associated with all-cause mortality in a J-shaped manner in both sexes, while it was associated with risk of DM in a dose-response relationship. The relationship between BMI and the primary outcomes was J-shaped.
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Affiliation(s)
- Yoon-Jong Bae
- Department of Information & Statistics, Chungbuk National University, Cheongju, Republic of Korea
| | - Sang-Jun Shin
- Department of Information & Statistics, Chungbuk National University, Cheongju, Republic of Korea
| | - Hee-Taik Kang
- Department of Family Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea.
- Department of Family Medicine, Chungbuk National University College of Medicine, 1 Chungdae-ro, Seowon-gu, Cheongju, 28644, Chungcheongbuk-do, Republic of Korea.
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Ding C, Shi Y, Li J, Li M, Hu L, Rao J, Liu L, Zhao P, Xie C, Zhan B, Zhou W, Wang T, Zhu L, Huang X, Bao H, Cheng X. Association of weight-adjusted-waist index with all-cause and cardiovascular mortality in China: A prospective cohort study. Nutr Metab Cardiovasc Dis 2022; 32:1210-1217. [PMID: 35277327 DOI: 10.1016/j.numecd.2022.01.033] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/08/2022] [Accepted: 01/28/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND AIMS As a new simple anthropometric index, the weight-adjusted-waist index (WWI) appears to be superior to body mass index (BMI) and waist circumference (WC) in assessing both muscle and fat mass. We aimed to explore the association of WWI with all-cause and cardiovascular mortality in southern China. METHODS AND RESULTS A total of 12,447 participants (mean age, 59.0 ± 13.3 years; 40.6% men) in Jiangxi Province from the China Hypertension Survey study were included. WWI was defined as WC divided by the square root of weight. The outcome was all-cause and cardiovascular mortality. During a median follow-up of 5.6 years, 838 all-cause deaths occurred, with 390 cardiovascular deaths. Overall, there was a nonlinear positive relationship of WWI with all-cause and cardiovascular mortality. Accordingly, compared with participants in quartiles 1-3 (<11.2 cm/√kg), a significant higher risk of all-cause mortality (HR: 1.36, 95% CI: 1.17, 1.58) and cardiovascular mortality (HR: 1.43, 95% CI: 1.15, 1.77) were found in quartile 4 (≥11.2 cm/√kg). Further adjustment for BMI and WC did not substantially alter the results. No significant interactions were found in any of the subgroups (sex, age, area, physical activity, current smoking, current alcohol drinking, hypertension, and stroke). CONCLUSION Higher WWI levels (≥11.2 cm/√kg) were associated with increased the risk of all-cause and cardiovascular mortality in southern China. These findings, if confirmed by further studies, suggested that WWI may serve as a simple and effective anthropometric index in clinical practice.
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Affiliation(s)
- Congcong Ding
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Yumeng Shi
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Junpei Li
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Minghui Li
- Department of Cardiology, Inner Mongolia People's Hospital, Inner Mongolia, China
| | - Lihua Hu
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Jingan Rao
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Liang Liu
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Peixu Zhao
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Chong Xie
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Biming Zhan
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China
| | - Wei Zhou
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang of Jiangxi, China
| | - Tao Wang
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang of Jiangxi, China
| | - Lingjuan Zhu
- Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang of Jiangxi, China
| | - Xiao Huang
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang of Jiangxi, China.
| | - Huihui Bao
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang of Jiangxi, China.
| | - Xiaoshu Cheng
- Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Center for Prevention and Treatment of Cardiovascular Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China; Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang of Jiangxi, China.
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Hu MM, Chen JH, Zhang QQ, Song ZY, Shaukat H, Qin H. Sesamol counteracts on metabolic disorders of middle-aged alimentary obese mice through regulating skeletal muscle glucose and lipid metabolism. Food Nutr Res 2022; 66:8231. [PMID: 35382382 PMCID: PMC8941404 DOI: 10.29219/fnr.v66.8231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 11/08/2021] [Accepted: 02/09/2022] [Indexed: 12/30/2022] Open
Abstract
Background Globally, obesity is a significant public problem, especially when aging. Sesamol, a phenolic lignan present in sesame seeds, might have a positive effect on high-fat diet (HFD)-induced obesity associated with aging. Objective The purpose of current research study was to explore salutary effects and mechanisms of sesamol in treating alimentary obesity and associated metabolic syndrome in middle-aged mice. Methods C57BL/6J mice aged 4–6 weeks and 6–8 months were assigned to the young normal diet group, middle-aged normal diet group, middle-aged HFD group, and middle-aged HFD + sesamol group. At the end of experiment, glucose tolerance test and insulin tolerance test were performed; the levels of lipids and oxidative stress-related factors in the serum and skeletal muscle were detected using chemistry reagent kits; lipid accumulation in skeletal muscle was observed by oil red O staining; the expressions of muscular glucose and lipid metabolism associated proteins were measured by Western blotting. Results Sesamol decreased the body weight and alleviated obesity-associated metabolism syndrome in middle-aged mice, such as glucose intolerance, insulin resistance, dyslipidemia, and oxidative stress. Moreover, muscular metabolic disorders were attenuated after treatment with sesamol. It increased the expression of glucose transporter type-4 and down-regulated the protein levels of pyruvate dehydrogenase kinase isozyme 4, implying the increase of glucose uptake and oxidation. Meanwhile, sesamol decreased the expression of sterol regulatory element binding protein 1c and up-regulated the phosphorylation of hormone-sensitive lipase and the level of carnitine palmityl transferase 1α, which led to the declined lipogenesis and the increased lipolysis and lipid oxidation. In addition, the SIRT1/AMPK signaling pathway was triggered by sesamol, from which it is understood how sesamol enhances glucose and lipid metabolism. Conclusions Sesamol counteracts on metabolic disorders of middle-aged alimentary obese mice through regulating skeletal muscle glucose and lipid metabolism, which might be associated with the stimulation of the SIRT1/AMPK pathway.
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Affiliation(s)
- Min-Min Hu
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha, China
| | - Ji-Hua Chen
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha, China
| | - Quan-Quan Zhang
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha, China
| | - Zi-Yu Song
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha, China
| | - Horia Shaukat
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha, China
| | - Hong Qin
- Department of Nutrition Science and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha, China
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Vitamin D deficiency: a potential risk factor for cancer in obesity? Int J Obes (Lond) 2022; 46:707-717. [PMID: 35027681 DOI: 10.1038/s41366-021-01045-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 08/25/2021] [Accepted: 11/26/2021] [Indexed: 12/20/2022]
Abstract
Obesity is considered an abnormal or excessive accumulation of adipose tissue, due to a prolonged positive energy balance that arises when energy intake is greater than energy expenditure, leading to an increased risk for the individual health and for the development of metabolic chronic diseases including several different types of cancer. Vitamin D deficiency is a metabolic alteration, which is often associated with the obesity condition. Vitamin D is a liposoluble vitamin, which plays a pivotal role in calcium-phosphate metabolism but extraskeletal effects have also been described. Among these, it plays an important role also in adipocyte physiology and glucose metabolism, typically dysregulated in subjects affected by obesity. Moreover, it is now recognized that Vitamin D also influences the processes of cell proliferation, differentiation, adhesion potentially leading to carcinogenesis. Indeed, data indicate a potential link between vitamin D levels and cancer, and higher vitamin D concentrations have been associated with a lower risk of developing different kinds of tumors, including breast, colon, lymphoma, lung, and prostate cancers. Thus, this review will revise the literature regarding this issue investigating and highlighting the potential mechanism of action, which might lead to new therapeutical options.
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Hossain MS, Karuniawati H, Jairoun AA, Urbi Z, Ooi DJ, John A, Lim YC, Kibria KMK, Mohiuddin AM, Ming LC, Goh KW, Hadi MA. Colorectal Cancer: A Review of Carcinogenesis, Global Epidemiology, Current Challenges, Risk Factors, Preventive and Treatment Strategies. Cancers (Basel) 2022; 14:1732. [PMID: 35406504 PMCID: PMC8996939 DOI: 10.3390/cancers14071732] [Citation(s) in RCA: 380] [Impact Index Per Article: 126.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 03/22/2022] [Accepted: 03/27/2022] [Indexed: 02/07/2023] Open
Abstract
Colorectal cancer (CRC) is the second most deadly cancer. Global incidence and mortality are likely to be increased in the coming decades. Although the deaths associated with CRC are very high in high-income countries, the incidence and fatalities related to CRC are growing in developing countries too. CRC detected early is entirely curable by surgery and subsequent medications. However, the recurrence rate is high, and cancer drug resistance increases the treatment failure rate. Access to early diagnosis and treatment of CRC for survival is somewhat possible in developed countries. However, these facilities are rarely available in developing countries. Highlighting the current status of CRC, its development, risk factors, and management is crucial in creating public awareness. Therefore, in this review, we have comprehensively discussed the current global epidemiology, drug resistance, challenges, risk factors, and preventive and treatment strategies of CRC. Additionally, there is a brief discussion on the CRC development pathways and recommendations for preventing and treating CRC.
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Affiliation(s)
- Md. Sanower Hossain
- Department of Biomedical Science, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, Kuantan 25200, Pahang, Malaysia
- Faculty of Science, Sristy College of Tangail, Tangail 1900, Bangladesh
| | - Hidayah Karuniawati
- Discipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor 11800, Pulau Pinang, Malaysia; (H.K.); (A.A.J.)
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Muhammadiyah Surakarta, Surakarta 57102, Indonesia
| | - Ammar Abdulrahman Jairoun
- Discipline of Social and Administrative Pharmacy, School of Pharmaceutical Sciences, Universiti Sains Malaysia, Gelugor 11800, Pulau Pinang, Malaysia; (H.K.); (A.A.J.)
- Health and Safety Department, Dubai Municipality, Dubai 67, United Arab Emirates
| | - Zannat Urbi
- Department of Industrial Biotechnology, Faculty of Industrial Sciences & Technology, Universiti Malaysia Pahang, Kuantan 26300, Pahang, Malaysia;
| | - Der Jiun Ooi
- Department of Oral Biology & Biomedical Sciences, Faculty of Dentistry, MAHSA University, Jenjarom 42610, Selangor, Malaysia;
| | - Akbar John
- Institute of Oceanography and Maritime Studies (INOCEM), Kulliyyah of Science, International Islamic University Malaysia, Kuantan 25200, Pahang, Malaysia;
| | - Ya Chee Lim
- PAP Rashidah Sa’adatul Bolkiah Institute of Health Sciences, Universiti Brunei Darussalam, Gadong BE1410, Brunei;
| | - K. M. Kaderi Kibria
- Department of Biotechnology & Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh; (K.M.K.K.); (A.K.M.M.)
| | - A.K. M. Mohiuddin
- Department of Biotechnology & Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail 1902, Bangladesh; (K.M.K.K.); (A.K.M.M.)
| | - Long Chiau Ming
- PAP Rashidah Sa’adatul Bolkiah Institute of Health Sciences, Universiti Brunei Darussalam, Gadong BE1410, Brunei;
| | - Khang Wen Goh
- Faculty of Data Science and Information Technology, INTI International University, Nilai 71800, Negeri Sembilan, Malaysia;
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Effect of Acupoint Catgut Embedding for Middle-Aged Obesity: A Multicentre, Randomised, Sham-Controlled Trial. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:4780019. [PMID: 35265146 PMCID: PMC8898815 DOI: 10.1155/2022/4780019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 01/10/2022] [Indexed: 11/17/2022]
Abstract
Objectives This study aimed to examine the efficacy and safety of acupoint catgut embedding (ACE) for obesity over a 16-week treatment period using sham stimulation as the control. Methods A multicenter, randomised, parallel, sham-controlled trial was conducted from February 10, 2017, to May 15, 2018. Men with waistlines ≥85 cm and women with ≥80 cm at three sites were randomised to receive eight sessions (over 16 weeks) of ACE (n = 108) or sham ACE (n = 108) with skin penetration at sham acupoints. The catgut was embedded once every two weeks using two alternating sets of acupoints. The follow-up lasted for an additional 24 weeks. The primary outcome was the percentage waistline reduction from baseline to week 16. Results We included 216 individuals in the intention-to-treat analysis. At 16 weeks, the rate of waistline reduction was 8.80% (95% confidence interval (CI), 7.93% to 9.66%) in the ACE group and 4.09% (95% CI, 3.18% to 5.00%) in the sham control group, with a between-group difference of 4.71% (95% CI, 3.47% to 5.95%; P < 0.0001). This difference persisted throughout the entire follow-up period (between-group difference after 24-week additional weeks, 4.94% (95% CI, 3.58% to 6.30%); P < 0.001). The subgroup analyses of waistline by sex (male/female) revealed treatment effects of 1.93 (95% CI, -0.37 to 4.23, P = 0.1) in the male group and 3.19 (95% CI, 1.99 to 4.39, P < 0.001) in the female group. The adverse event analysis suggested that ACE and laboratory tests confirmed the safety of ACE. Discussion. ACE for 16 weeks could decrease the waistline and weight and was safe for the treatment of obesity. Further research is needed to evaluate the long-term efficacy and sex differences. This trial is registered with NCT02936973.
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50
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Charvat H, Freisling H, Noh H, Gaudet MM, Gunter MJ, Cross AJ, Tsilidis KK, Tjønneland A, Katzke V, Bergmann M, Agnoli C, Rylander C, Skeie G, Jakszyn P, Rosendahl AH, Sund M, Severi G, Tsugane S, Sawada N, Brenner H, Adami HO, Weiderpass E, Soerjomataram I, Arnold M. Excess Body Fatness during Early to Mid-Adulthood and Survival from Colorectal and Breast Cancer: A Pooled Analysis of Five International Cohort Studies. Cancer Epidemiol Biomarkers Prev 2022; 31:325-333. [PMID: 34782393 PMCID: PMC7612347 DOI: 10.1158/1055-9965.epi-21-0688] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/16/2021] [Accepted: 11/03/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Here, we explore the association between excess weight during early to mid-adulthood and survival in patients diagnosed with breast and colorectal cancer, using a pooled analysis of five cohort studies and study participants from 11 countries. METHODS Participant-level body mass index (BMI) trajectories were estimated by fitting a growth curve model using over 2 million repeated BMI measurements from close to 600,000 cohort participants. Cumulative measures of excess weight were derived. Data from over 23,000 patients with breast and colorectal cancer were subsequently analyzed using time-to-event models for death with the date of diagnosis as start of follow-up. Study-specific results were combined through a random effect meta-analysis. RESULTS We found a significant dose-response relationship (P trend = 0.013) between the average BMI during early and mid-adulthood and death from breast cancer, with a pooled HR of 1.31 (1.07-1.60) and the time to death shortened by 16% for average BMI above 25 kg/m2 compared with average BMI less than or equal to 22.5 kg/m2, respectively. Similar results were found for categories of cumulative time spent with excess weight. There was no association between excess body fatness during early to mid-adulthood and death in patients with colorectal cancer. CONCLUSIONS Excess body fatness during early to mid-adulthood is associated not only with an increased risk of developing cancer, but also with a lower survival in patients with breast cancer. IMPACT Our results emphasize the importance of public health policies aimed at reducing overweight during adulthood and inform future studies on the relationship between excess weight and cancer outcomes.
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Affiliation(s)
- Hadrien Charvat
- Cancer Surveillance Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Hwayoung Noh
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Mia M Gaudet
- Department of Population Sciences, American Cancer Society, Atlanta, Georgia
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Amanda J Cross
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Verena Katzke
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Manuela Bergmann
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Claudia Agnoli
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Charlotta Rylander
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø (UiT), The Arctic University of Norway, Tromsø, Norway
| | - Guri Skeie
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø (UiT), The Arctic University of Norway, Tromsø, Norway
- Nutritional Epidemiology Group, School of Food and Nutrition, University of Leeds, Leeds, United Kingdom
| | - Paula Jakszyn
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Facultat Ciències Salut Blanquerna, Universitat Ramon Llull, Barcelona, Spain
| | - Ann H Rosendahl
- Department of Clinical Sciences Lund, Oncology, Lund University and Skåne University Hospital, Lund, Sweden
| | - Malin Sund
- Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden
| | - Gianluca Severi
- Center for Research in Epidemiology and Population Health, Institut Gustave Roussy, Villejuif, France
| | - Shoichiro Tsugane
- Epidemiology and Prevention Division, National Cancer Center, Japan, Tokyo
| | - Norie Sawada
- Epidemiology and Prevention Division, National Cancer Center, Japan, Tokyo
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Clinical Effectiveness Research Group, Institute of Health and Society, University of Oslo, Oslo, Norway
| | - Elisabete Weiderpass
- Director's Office, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Isabelle Soerjomataram
- Cancer Surveillance Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Melina Arnold
- Cancer Surveillance Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
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