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The Wynn Database holds information on metabolic risk factors for cardiovascular disease, diabetes and cancer recorded between 1965 and 2000 by Professor Victor Wynn’s group, working initially at the Department of Metabolic Medicine, St Mary’s Hospital Medical School and then at the Wynn Institute of the National Heart and Lung Institute. The Wynn database has been preserved and is currently managed by Dr Ian Godsland. Work on the data is in collaboration with Professor Desmond Johnston and Professor Nick Oliver.

The Wynn Database comprises 29,244 records of metabolic information for 14,615 individuals. Adiposity, blood pressure, and serum lipid and plasma glucose and insulin concentrations measured during a range of investigative procedures are recorded, as well as more specialised measurements in limited numbers.

Data has been acquired in a variety of contexts including:

  • healthy volunteers
  • different ethnic groups
  • anabolic steroid therapy
  • anti-androgen therapy
  • oral contraceptive users
  • HRT users
  • coronary heart disease patients
  • heart failure patients
  • lipid clinic patients
  • obesity clinic patients
  • endocrine clinic patients

Currently, applications are being developed to enable mortality status and cause of death to be incorporated into the Database.

 The Wynn Database is a unique research resource with which important questions regarding metabolic risk factors can be explored. With mortality status and cause of death information, our team will be able to investigate in depth the long-term implications of risk factor variation.

To date, work with data being incorporated into the Wynn Database has focused on the occupational cohort studied between 1971 and 2000 - the Heart Disease and Diabetes Research Indicators in a Screened Cohort (HDDRISC) study. With completion of the full Wynn Database, including mortality information, a number of further analyses will be possible, five of which are summarised below.

Wynn Database Analyses

The HDDRISC Study

Until now, research investigations employing the Wynn Database information have concentrated primarily on a sub-set of the data that relates to an occupational cohort of 1192 individuals, studied between 1971 and 2000 - the Heart Disease and Diabetes Research Indicators in a Screened Cohort (HDDRISC) study. Analyses of HDDRISC study data have resulted in 25 peer-reviewed, published studies of relationships between metabolic risk factors and of their relationships to cardiovascular and cancer mortality and diabetes outcomes (1-25). Key findings from analyses of HDDRISC sub-study data include: 1) demonstration of the marked decline in beta cell insulin output as fasting plasma glucose increases towards diabetic levels (9); 2) discovery of associations between instability and progressive change in HDL cholesterol, uric acid, erythrocyte sedimentation rate and insulin sensitivity and cardiovascular disease outcomes (14, 15); and 3) prediction of death from either cardiovascular disease or cancer by inflammation markers measured over 20 years prior to death (20).

Insulin Sensitivity

Insulin sensitivity and secretion in men and pre-and post-menopausal women

The sex steroids, oestradiol and testosterone significantly affect tissue sensitivity to insulin and beta cell function. A core investigative procedure used by the Wynn Group from 1965 through to the late 1990s was the intravenous glucose tolerance test (IVGTT) which can provide widely-used measures of both insulin sensitivity and beta cell function. IVGTT data in the Wynn Database offers an opportunity to explore sex steroid-associated variation in key physiological determinants of glucose metabolism by comparing groups of pre- and postmenopausal women and men. A preliminary review of IVGTT data held in the Wynn Database has identified Wynn database information on over 9,000 IVGTTs suitable for such an analysis.

Metabolic Risk Factors

Does individual variability in metabolic risk indicators relate to mortality outcomes?

Metabolic risk factors for cardiovascular disease are generally evaluated on the basis of single measurements. However, preliminary studies in the course of the HDDRISC study have shown that increased variability in risk factor levels may indicate increased risk of adverse health outcomes. Studies of relationships between metabolic instability and clinical outcomes are limited, primarily due to the costs and the logistic challenges of undertaking the serial metabolic assessments necessary. The Wynn Database holds data for multiple serial evaluations in single individuals of a variety of metabolic risk indicators. Around 2,000 participants have information on fasting plasma glucose and insulin and serum lipids from which measures of metabolic instability may be derived. With mortality outcomes in each individual, it will be possible to explore further the clinical implications of metabolic variation.

OGTT and Insulin Profile

Can oral glucose tolerance test glucose and insulin profile features provide novel information regarding caridovascular mortality risks?

The risk of developing cardiovascular disease is increased in impaired glucose tolerance and diabetes but there may be further variations in risk among normoglycaemic individuals. There is, currently, interest in the possibility that sub-clinical variations in oral glucose tolerance test (OGTT) glucose and insulin profiles may have health implications. However, investigations into this possibility have been limited by lack of suitable data and of clinical outcome information. In a Wynn Database pilot analysis of 397 normoglycaemic individuals participating in the HDDRISC study (unpublished), we have used cluster analysis of OGTT glucose and insulin measurement sets to classify key profile features into 10 discrete categories. Independently of individual characteristics, insulin resistance and beta cell function, associations were found between profile features and lipid and blood pressure risk factors for cardiovascular disease, including diastolic blood pressure, triglycerides, insulin and HDL cholesterol. The complete Wynn database can provide OGTT glucose and insulin profile information for 7107 individuals. These data can provide for a substantially expanded analysis of relationships between OGTT profile features and cardiovascular disease risk factors and, with mortality follow-up for each participant, could enable profile features to be related to risk and cause of death.

Oral Contraceptives

Does the metabolic response to oral contraceptive use relate to subsequent mortality and cause of death?

 There have been many studies of the effects of oral contraceptive use on mortality in cohorts of women who, on recruitment, were either taking or not taking oral contraceptives. These studies identified increased risks of venous thromboembolic and arterial disease associated with oral contraceptive use. Combined oral contraceptives can have marked adverse effects on glucose and lipid homeostasis that are consistent with these risks. However, no study has investigated the relationship between metabolic response to oral contraceptve use and long-term mortality.  With the Wynn Database, relationships between oral contraceptive-induced changes in metabolic risk indicators and mortality can be studied in 3311 women who were oral contraceptive users at the time of receiving an OGTT. As a reference group, there are 4,996 women aged 45 or less who were not oral contraceptive users at the time of receiving an OGTT.

Wynn

Latest News

Assembling the data records generated by the Wynn group into a unified coherent structure has been an on-going task since the inception of data recording in 1965. Since the early 2000's, attention has focused on the subset of the data that relates to the Heart Disease and Diabetes Research Indicators in a Screened Cohort (HDDRISC) study and, between 2000 and 2018, that work generated a number of published paper.

From 2018 onwards there has been a concerted effort to incorporate all Wynn group data records into a single, fully audited, readily accessible, de-identified data file with a separate, supplementary file that contains personally identifiable information. This process was completed in November 2021 and a full description of the Wynn Database files is provided in the dedicated Wynn Database Data Manual.

Also, from 2018 onwards we have worked towards gaining Health Research Authority approvals for our holding of personally indentifiable information and for provision by NHS England of Civil Registration of Deaths information for Wynn Database participants. HRA Research Ethics Approval came through in April 2021 and full Confidentiality Advisory Group approval was confirmed in September 2021.

With approvals in place we were able to submit, in September 2021, our application to NHS England for provision of year and cause of death information for Wynn Database participants and the data sharing agreement for this work was finalised in January 2023.

With regard to our planned mortality studies, we are currently in discussion with the Imperial College Research Facility Secure Enclaves managers exploring logistic and financial ways forward for uploading our personally identifiable information to NHS England for linkage to NHS number and Civil Registration of Deaths information.

While preparations for mortality analyses are still under way, we have, nevertheless, been able to undertake a number of informative analyses using the finalised, de-identified Wynn data file. From January 2022 onwards, in-depth analyses of relationships between glucose distribution space, adiposity and weight have been undertaken using the extensive intravenous glucose tolerance test data held in the Wynn Database. These analyses are an essential preliminary for our planned mortality analysis but are of interest in there own right for the interpretation of excursions in insulin concentrations during glucose tolerance testing. A manuscript describing these analyses is currently under review with Nature Scientific reports and a further manuscript focused on these issues in oral glucose tolerance test data is in develoment. Further work analysing oral glucose tolerance test insulin and glucose profiles using cluster analysis is progressing and a uniquely comprehensive analysis of oral contraceptive steroid effects on glucose and insulin metabolism is planned for 2024.

Publications

1.            Bruce R, Godsland IF, Walton C, Crook D, Wynn V. Associations between insulin sensitivity, and free fatty acid and triglyceride metabolism independent of uncomplicated obesity. Metabolism. 1994;43:1275-81. 

2.            Walton C, Lees B, Crook D, Worthington M, Godsland IF, Stevenson JC. Body fat distribution rather than overall adiposity influences serum lipids and lipoproteins in healthy men independently of age. Am J Med. 1995;99:459-64.

3.            Walton C, Lees B, Crook D, Worthington M, Godsland IF, Stevenson JC. Relationships between insulin metabolism, serum lipid profile, body fat distribution and blood pressure in healthy men. Atherosclerosis. 1995;118:35-43.

4.            Godsland IF, Leyva F, Worthington M, Walton C, Stevenson JC. Associations of smoking, alcohol and physical activity with risk factors for coronary heart disease and diabetes in the first follow-up cohort of the HDDRISC Study (HDDRISC-1). J Intern Med. 1998;244:33-41.

5.            Leyva F, Godsland IF, Ghatei M, Proudler AJ, Aldis S, Walton C, et al. Hyperleptinaemia as a component of a metabolic syndrome of cardiovascular risk. Arterioscler Thromb Vasc Biol. 1998;18:928-33.

6.            Leyva F, Godsland IF, Walton C, Worthington M, Stevenson JC. Factors of the metabolic syndrome -  baseline interrelationships in the first follow-up cohort of the HDDRISC Study (HDDRISC-1). Arterioscler Throm Vasc Biol. 1998;18:208-14.

7.            Godsland IF, Rosankiewicz JR, Proudler AJ, Johnston DG. Plasma total homocysteine concentrations are unrelated to insulin sensitivity and components of the metabolic syndrome in healthy men. J Clin Endocrinol Metab. 2001;86:719-23.

8.            Felton CV, Stevenson JC, Godsland IF. Erythrocyte-derived measures of membrane lipid composition in healthy men: associations with arachidonic acid at low to moderate but not high insulin sensitivity. Metabolism. 2004;53:571-7.

9.            Godsland IF, Jeffs JAR, Johnston DG. Loss of beta cell function as fasting glucose increases in the non-diabetic range. Diabetologia. 2004;47:1157-66.

10.          Godsland IF, Bruce R, Jeffs JAR, Leyva F, Walton C, Stevenson JC. Inflammation markers and erythrocyte sedimentation rate but not metabolic syndrome factor score predict coronary heart disease in high socioeconomic class males: the HDDRISC study. Int J Cardiol. 2004;97:543-50.

11.          Godsland IF, Crook D, Proudler AJ, Stevenson JC. Hemostatic risk factors and insulin sensitivity, regional body fat distribution and the metabolic syndrome. J Clin Endocrinol Metab. 2005;90:190-7.

12.          Jeffs JA, Godsland IF, Johnston DG. Less than 50% of variation in HDL cholesterol between and within individuals, is explained by established predictors. Atherosclerosis. 2006;184:178-87.

13.          Godsland IF, Agbaje OF, Hovorka R. Evaluation of nonlinear regression approaches to estimation of insulin sensitivity by the minimal model with reference to Bayesian hierarchical analysis. Am J Physiol Endocrinol Metab. 2006;291:E167-74.

14.          Christen A, Efstathiadou Z, Laspa E, Johnston DG, Godsland IF. Rate of change and instability in body mass index, insulin resistance, and lipid metabolism as predictors of atherosclerotic vascular disease. J Clin Endocrinol Metab. 2007;92:3780-7.

15.          Laspa E, Christen A, Efstathiadou Z, Johnston DG, Godsland IF. Long-term changes and variability in diabetes risk factors prior to the development of impaired glucose homeostasis. Diabet Med. 2007;24:1269-78.

16.          Godsland IF, Johnston DG. Co-associations between insulin sensitivity and measures of liver function, subclinical inflammation and hematology. Metabolism. 2008;57:1190-7.

17.          Atta M, Crook D, Shafique F, Johnston DG, Godsland IF. Procoagulant activities of plasma factor VIIc and factor Xc are positively and independently associated with concentrations of the high-density lipoprotein apolipoprotein, apo A-II. . Thromb Haemost. 2008;100:391-6.

18.          Loh WJ, North BV, Johnston DG, Godsland IF. Insulin resistance-related biomarker clustering and subclinical inflammation as predictors of cancer mortality during 21.5 years of follow-up. Cancer Causes Control. 2010;29:709-18.

19.          Godsland IF, Lecamwasam K, Johnston DG. A systematic evaluation of the insulin resistance syndrome as an independent risk factor for cardiovascular disease mortality and derivation of a clinical index. Metabolism. 2011;60:1442-48.

20.          Godsland IF, North BV, Johnston DG. Simple indices of inflammation as predictors of death from cancer or atherosclerosis in a prospective cohort after two decades of follow-up. QJM. 2011;104:387-94.

21.          Hariri AA, Oliver NS, Johnston DG, Stevenson JC, Godsland IF. Are Metabolic Risk Factors for Cardiovascular Disease and Type 2 Diabetes More Strongly Associated with Regional or Total Body Fat, Measured Directly or by Anthropometry? . Disease Markers. 2013;35:753-64.

22.          Anagnostis P, Stevenson JC, Crook D, Johnston DG, Godsland IF. Effects of menopause, gender and age on lipids and high-density lipoprotein cholesterol subfractions. Maturitas. 2015;81:62-8.

23.          Anagnostis P, Stevenson JC, Crook D, Johnston DG, Godsland IF. Effects of gender, age and menopausal status on serum apolipoprotein concentrations. Clin Endocrinol (Oxf). 2016;85:733-40.

24.          Kaur A, Johnston DG, Godsland IF. Does metabolic health in overweight and obesity persist? - Individual variation and cardiovascular mortality over two decades. European journal of endocrinology / European Federation of Endocrine Societies. 2016;175:133-43.

25.          Loh WJ, Johnston DG, Oliver N, Godsland IF. Skinfold thickness measurements and mortality in white males during 27.7 years of follow-up. Int J Obes (Lond). 2018;epub Feb 20.

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