There is a consensus that both type 1 and type 2 diabetes are associated with a spectrum of cancers but the underlying mechanisms are largely unknown.On the other hand,there are ongoing debates about the risk associat...There is a consensus that both type 1 and type 2 diabetes are associated with a spectrum of cancers but the underlying mechanisms are largely unknown.On the other hand,there are ongoing debates about the risk association of insulin use with cancer.We have briefly reviewed recent related research on exploration of risk factors for cancer and pharmacoepidemiological investigations into drug use in diabetes on the risk of cancer,as well as the current understanding of metabolic pathways implicated in intermediary metabolism and cellular growth.Based on the novel findings from the Hong Kong Diabetes Registry and consistent experimental evidence,we argue that use of insulin to control hyperglycemia is unlikely to contribute to increased cancer risk and that dysregulations in the AMPactivated protein kinase pathway due to reduced insulin action and insulin resistance,the insulin-like growth factor-1(IGF-1)-cholesterol synthesis pathway and renin-angiotensin system,presumably due to reduced insulin secretion and hyperglycemia,may play causal roles in the increased risk of cancer in diabetes.Further exploration into the possible causal relationships between abnormalities of these pathways and the risk of cancer in diabetes is warranted.展开更多
There are multiple biases in using observational studies to examine treatment effects such as those from prevalent drug users, immortal time and drug indications. We used renin angiotensin system(RAS) inhibitors and s...There are multiple biases in using observational studies to examine treatment effects such as those from prevalent drug users, immortal time and drug indications. We used renin angiotensin system(RAS) inhibitors and statins as reference drugs with proven efficacies in randomized clinical trials(RCTs) and examined their effectiveness in the prospective Hong Kong Diabetes Registry using adjustment methods proposed in the literature. Using time-dependent exposures to drug treatments yielded greatly inflated hazard ratios(HR) regarding the treatment effects of these drugs for cardiovascular disease(CVD) in type 2 diabetes. These errors were probably due to changing indications to use these drugs during follow up periods, especially at the time of drug commencement making time-dependent analysis extremely problematic. Using time-fixed analysis with exclusion of immortal time and adjustment for confounders at baseline and/or during follow-up periods, the HR of RAS inhibitors for CVD was comparable to that in RCT. The result supported the use of the Registry for performing pharmacoepidemiological analysis which revealed an attenuated low low-density lipoprotein cholesterol related cancer risk with RAS inhibitors. On the other hand, time-fixed analysis with including immortal time and adjustment for confounders at baseline and/or during follow-up periods, the HR of statins for CVD was similar to that in the RCT. Our results highlight the complexity and difficulty in removing these biases. We call for validations of the methods to cope with immortal time and drug use indications before applying them to particular research questions, so to avoid making erroneous conclusions.展开更多
OBJECTIVE: To investigate the relative effects of degree and distribution of body fat with several cardiovascular disease (CVD) risk factors in elderly Chinese subjects. METHODS: One hundred and thirty-five elderly Ch...OBJECTIVE: To investigate the relative effects of degree and distribution of body fat with several cardiovascular disease (CVD) risk factors in elderly Chinese subjects. METHODS: One hundred and thirty-five elderly Chinese individuals (age range, 60-65 y) without any history of significant renal, hepatic or cardiac disease were recruited. Seated blood pressure, anthropometric and fasting plasma biochemical parameters were measured. Student's t-test was used to compare the differences in biochemical and anthropometric markers between cohorts. RESULTS: Males were heavier (64.6 +/- 8.6, 57.2 +/- 8.2kg, P展开更多
Objective: This review examines the evidence that: Diabetes is a state of DNA damage; pathophysiological factors in diabetes can cause DNA damage: DNA damage can cause mutations: and DNA mutation is linked to carc...Objective: This review examines the evidence that: Diabetes is a state of DNA damage; pathophysiological factors in diabetes can cause DNA damage: DNA damage can cause mutations: and DNA mutation is linked to carcinogenesis. Data Sources: We retrieved information from the PubMed database up to January, 2014, using various search terms and their combinations including DNA damage, diabetes, cancer, high glucose, hyperglycemia, free fatty acids, palmitic acid, advanced glycation end products, mutation and carcinogenesis. Study Selection: We included data from peer-reviewed journals and a textbook printed in English on relationships between DNA damage and diabetes as well as pathophysiological factors in diabetes. Publications on relationships among DNA damage, mutagenesis, and carcinogenesis, were also reviewed. We organized this information into a conceptual framework to explain the possible causal relationship between DNA damage and carcinogenesis in diabetes. Results: There are a large amount of data supporting the view that DNA mutation is a typical feature in carcinogenesis. Patients with type 2 diabetes have increased production of reactive oxygen species, reduced levels of antioxidant capacity, and increased levels of DNA damage. The pathophysiological factors and metabolic milieu in diabetes can cause DNA damage such as DNA strand break and base modification (i.e., oxidation). Emerging experimental data suggest that signal pathways (i.e., Akt/tuberin) link diabetes to DNA damage. This collective evidence indicates that diabetes is a pathophysiological state of oxidative stress and DNA damage which can lead to various types of mutation to cause aberration in cells and thereby increased cancer risk. Conclusions: This review highlights the interrelationships amongst diabetes, DNA damage, DNA mutation and carcinogenesis, which suggests that DNA damage can be a biological link between diabetes and cancer.展开更多
基金Supported by The Hong Kong Foundation for Research and Development in Diabetes,Lioa Wun Yuk Diabetes Memorial Fund,established under the auspices of the Chinese University of Hong Kong
文摘There is a consensus that both type 1 and type 2 diabetes are associated with a spectrum of cancers but the underlying mechanisms are largely unknown.On the other hand,there are ongoing debates about the risk association of insulin use with cancer.We have briefly reviewed recent related research on exploration of risk factors for cancer and pharmacoepidemiological investigations into drug use in diabetes on the risk of cancer,as well as the current understanding of metabolic pathways implicated in intermediary metabolism and cellular growth.Based on the novel findings from the Hong Kong Diabetes Registry and consistent experimental evidence,we argue that use of insulin to control hyperglycemia is unlikely to contribute to increased cancer risk and that dysregulations in the AMPactivated protein kinase pathway due to reduced insulin action and insulin resistance,the insulin-like growth factor-1(IGF-1)-cholesterol synthesis pathway and renin-angiotensin system,presumably due to reduced insulin secretion and hyperglycemia,may play causal roles in the increased risk of cancer in diabetes.Further exploration into the possible causal relationships between abnormalities of these pathways and the risk of cancer in diabetes is warranted.
文摘There are multiple biases in using observational studies to examine treatment effects such as those from prevalent drug users, immortal time and drug indications. We used renin angiotensin system(RAS) inhibitors and statins as reference drugs with proven efficacies in randomized clinical trials(RCTs) and examined their effectiveness in the prospective Hong Kong Diabetes Registry using adjustment methods proposed in the literature. Using time-dependent exposures to drug treatments yielded greatly inflated hazard ratios(HR) regarding the treatment effects of these drugs for cardiovascular disease(CVD) in type 2 diabetes. These errors were probably due to changing indications to use these drugs during follow up periods, especially at the time of drug commencement making time-dependent analysis extremely problematic. Using time-fixed analysis with exclusion of immortal time and adjustment for confounders at baseline and/or during follow-up periods, the HR of RAS inhibitors for CVD was comparable to that in RCT. The result supported the use of the Registry for performing pharmacoepidemiological analysis which revealed an attenuated low low-density lipoprotein cholesterol related cancer risk with RAS inhibitors. On the other hand, time-fixed analysis with including immortal time and adjustment for confounders at baseline and/or during follow-up periods, the HR of statins for CVD was similar to that in the RCT. Our results highlight the complexity and difficulty in removing these biases. We call for validations of the methods to cope with immortal time and drug use indications before applying them to particular research questions, so to avoid making erroneous conclusions.
基金supported by the Hong Kong Research Grants Council(grants CUHK 425/95M and CUHK 4095/00M and CUHK Strategic Researeh Programme 9702).
文摘OBJECTIVE: To investigate the relative effects of degree and distribution of body fat with several cardiovascular disease (CVD) risk factors in elderly Chinese subjects. METHODS: One hundred and thirty-five elderly Chinese individuals (age range, 60-65 y) without any history of significant renal, hepatic or cardiac disease were recruited. Seated blood pressure, anthropometric and fasting plasma biochemical parameters were measured. Student's t-test was used to compare the differences in biochemical and anthropometric markers between cohorts. RESULTS: Males were heavier (64.6 +/- 8.6, 57.2 +/- 8.2kg, P
文摘Objective: This review examines the evidence that: Diabetes is a state of DNA damage; pathophysiological factors in diabetes can cause DNA damage: DNA damage can cause mutations: and DNA mutation is linked to carcinogenesis. Data Sources: We retrieved information from the PubMed database up to January, 2014, using various search terms and their combinations including DNA damage, diabetes, cancer, high glucose, hyperglycemia, free fatty acids, palmitic acid, advanced glycation end products, mutation and carcinogenesis. Study Selection: We included data from peer-reviewed journals and a textbook printed in English on relationships between DNA damage and diabetes as well as pathophysiological factors in diabetes. Publications on relationships among DNA damage, mutagenesis, and carcinogenesis, were also reviewed. We organized this information into a conceptual framework to explain the possible causal relationship between DNA damage and carcinogenesis in diabetes. Results: There are a large amount of data supporting the view that DNA mutation is a typical feature in carcinogenesis. Patients with type 2 diabetes have increased production of reactive oxygen species, reduced levels of antioxidant capacity, and increased levels of DNA damage. The pathophysiological factors and metabolic milieu in diabetes can cause DNA damage such as DNA strand break and base modification (i.e., oxidation). Emerging experimental data suggest that signal pathways (i.e., Akt/tuberin) link diabetes to DNA damage. This collective evidence indicates that diabetes is a pathophysiological state of oxidative stress and DNA damage which can lead to various types of mutation to cause aberration in cells and thereby increased cancer risk. Conclusions: This review highlights the interrelationships amongst diabetes, DNA damage, DNA mutation and carcinogenesis, which suggests that DNA damage can be a biological link between diabetes and cancer.