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Arora A, Alderman JE, Palmer J, Ganapathi S, Laws E, McCradden MD, Oakden-Rayner L, Pfohl SR, Ghassemi M, McKay F, Treanor D, Rostamzadeh N, Mateen B, Gath J, Adebajo AO, Kuku S, Matin R, Heller K, Sapey E, Sebire NJ, Cole-Lewis H, Calvert M, Denniston A, Liu X. The value of standards for health datasets in artificial intelligence-based applications. Nat Med 2023; 29:2929-2938. [PMID: 37884627 PMCID: PMC10667100 DOI: 10.1038/s41591-023-02608-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 09/22/2023] [Indexed: 10/28/2023]
Abstract
Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. However, a growing body of evidence has highlighted the risk of algorithmic bias, which may perpetuate existing health inequity. This problem arises in part because of systemic inequalities in dataset curation, unequal opportunity to participate in research and inequalities of access. This study aims to explore existing standards, frameworks and best practices for ensuring adequate data diversity in health datasets. Exploring the body of existing literature and expert views is an important step towards the development of consensus-based guidelines. The study comprises two parts: a systematic review of existing standards, frameworks and best practices for healthcare datasets; and a survey and thematic analysis of stakeholder views of bias, health equity and best practices for artificial intelligence as a medical device. We found that the need for dataset diversity was well described in literature, and experts generally favored the development of a robust set of guidelines, but there were mixed views about how these could be implemented practically. The outputs of this study will be used to inform the development of standards for transparency of data diversity in health datasets (the STANDING Together initiative).
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Affiliation(s)
- Anmol Arora
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Joseph E Alderman
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
| | - Joanne Palmer
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
| | | | - Elinor Laws
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
| | - Melissa D McCradden
- Department of Bioethics, The Hospital for Sick Children, Toronto, Ontario, Canada
- Genetics and Genome Biology, Peter Gilgan Centre for Research and Learning, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, Toronto, Ontario, Canada
| | - Lauren Oakden-Rayner
- The Australian Institute for Machine Learning, University of Adelaide, Adelaide, South Australia, Australia
| | | | - Marzyeh Ghassemi
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, MA, USA
- Vector Institute, Toronto, Ontario, Canada
| | - Francis McKay
- The Ethox Centre and the Wellcome Centre for Ethics and Humanities, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Darren Treanor
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
- University of Leeds, Leeds, UK
- Department of Clinical Pathology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Center for Medical Image Science and Visualization, Linköping University, Linköping, Sweden
| | | | - Bilal Mateen
- Institute for Health Informatics, University College London, London, UK
- Wellcome Trust, London, UK
| | - Jacqui Gath
- Patient and Public Involvement and Engagement (PPIE) Group, STANDING Together, Birmingham, UK
| | - Adewole O Adebajo
- Patient and Public Involvement and Engagement (PPIE) Group, STANDING Together, Birmingham, UK
| | | | - Rubeta Matin
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | | | - Elizabeth Sapey
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
- PIONEER, HDR UK Hub in Acute Care, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Neil J Sebire
- National Institute for Health and Care Research, Great Ormond Street Hospital Biomedical Research Centre, London, UK
- Great Ormond Street Institute of Child Health, University Hospital London, London, UK
| | | | - Melanie Calvert
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK
- Centre for Patient Reported Outcomes Research, Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research Applied Research Collaboration West Midlands, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research Birmingham-Oxford Blood and Transplant Research Unit in Precision Transplant and Cellular Therapeutics, University of Birmingham, Birmingham, UK
- DEMAND Hub, University of Birmingham, Birmingham, UK
- UK SPINE, University of Birmingham, Birmingham, UK
| | - Alastair Denniston
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK
- National Institute for Health and Care Research Biomedical Research Centre, Moorfields Eye Hospital/University College London, London, UK
| | - Xiaoxuan Liu
- Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
- National Institute for Health and Care Research Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.
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Abstract
OBJECTIVES To use clustering methods on transthoracic echocardiography (TTE) findings and hemodynamic parameters to characterize circulatory failure subphenotypes and potentially elucidate underlying mechanisms in patients with acute respiratory distress syndrome (ARDS) and to describe their association with mortality compared with current definitions of right ventricular dysfunction (RVD). DESIGN Retrospective, single-center cohort study. SETTING University Hospital ICU, Birmingham, United Kingdom. PATIENTS ICU patients that received TTE within 7 days of ARDS onset between April 2016 and December 2021. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Latent class analysis (LCA) of TTE/hemodynamic parameters was performed in 801 patients, 62 years old (interquartile range, 50-72 yr old), 63% male, and 40% 90-day mortality rate. Four cardiovascular subphenotypes were identified: class 1 (43%; mostly normal left and right ventricular [LV/RV] function), class 2 (24%; mostly dilated RV with preserved systolic function), class 3 (13%, mostly dilated RV with impaired systolic function), and class 4 (21%; mostly high cardiac output, with hyperdynamic LV function). The four subphenotypes differed in their characteristics and outcomes, with 90-day mortality rates of 19%, 40%, 78%, and 59% in classes 1-4, respectively ( p < 0.0001). Following multivariable logistic regression analysis, class 3 had the highest odds ratio (OR) for mortality (OR, 6.9; 95% CI, 4.0-11.8) compared with other RVD definitions. Different three-variable models had high diagnostic accuracy in identifying each of these latent subphenotypes. CONCLUSIONS LCA of TTE parameters identified four cardiovascular subphenotypes in ARDS that more closely aligned with circulatory failure mechanisms and mortality than current RVD definitions.
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Affiliation(s)
- Minesh Chotalia
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Muzzammil Ali
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Joseph E Alderman
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Sukh Bansal
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Jaimin M Patel
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Mansoor N Bangash
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Dhruv Parekh
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
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Ganapathi S, Palmer J, Alderman JE, Calvert M, Espinoza C, Gath J, Ghassemi M, Heller K, Mckay F, Karthikesalingam A, Kuku S, Mackintosh M, Manohar S, Mateen BA, Matin R, McCradden M, Oakden-Rayner L, Ordish J, Pearson R, Pfohl SR, Rostamzadeh N, Sapey E, Sebire N, Sounderajah V, Summers C, Treanor D, Denniston AK, Liu X. Tackling bias in AI health datasets through the STANDING Together initiative. Nat Med 2022; 28:2232-2233. [PMID: 36163296 DOI: 10.1038/s41591-022-01987-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
- Shaswath Ganapathi
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Jo Palmer
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Joseph E Alderman
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Melanie Calvert
- Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.,Centre for Patient Reported Outcome Research, Institute of Applied Health Research, University of Birmingham, Birmingham, UK.,NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.,NIHR Surgical Reconstruction and Microbiology Research Centre, University of Birmingham, Birmingham, UK.,NIHR Applied Research Collaborative West Midlands University of Birmingham, Birmingham, UK
| | | | - Jacqui Gath
- Patient Partner, Birmingham, UK.,Patient Partner, Sheffield, UK
| | - Marzyeh Ghassemi
- Department of Electrical Engineering and Computer Science; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Francis Mckay
- The Ethox Centre and the Wellcome Centre for Ethics and Humanities, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Stephanie Kuku
- Institute of Women's Health, University College London, London, UK.,Hardian Health, London, UK
| | | | | | - Bilal A Mateen
- Institute of Health Informatics, University College London, London, UK.,The Wellcome Trust, London, UK
| | - Rubeta Matin
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Melissa McCradden
- Department of Bioethics, Hospital for Sick Children, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Lauren Oakden-Rayner
- Australian Institute for Machine Learning, University of Adelaide, Adelaide, South Australia, Australia
| | - Johan Ordish
- Medicines and Healthcare Products Regulatory Agency, London, UK
| | - Russell Pearson
- Medicines and Healthcare Products Regulatory Agency, London, UK
| | | | | | - Elizabeth Sapey
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Neil Sebire
- Health Data Research, London, UK.,Great Ormond Street Hospital for Children, London, UK
| | - Viknesh Sounderajah
- Institute of Global Health Innovation, Imperial College London, London, UK.,Department of Surgery and Cancer, Imperial College London, London, UK
| | - Charlotte Summers
- Wolfson Lung Injury Unit, Heart and Lung Research Institute, University of Cambridge, Cambrdige, UK.,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Darren Treanor
- Leeds Teaching Hospitals NHS Trust, Leeds, UK.,University of Leeds, Leeds, UK.,Department of Clinical Pathology, and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.,Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Alastair K Denniston
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.,Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.,Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.,NIHR Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.,Health Data Research, London, UK
| | - Xiaoxuan Liu
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK. .,Institute of Inflammation and Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK. .,Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.
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Chotalia M, Ali M, Alderman JE, Patel JM, Parekh D, Bangash MN. Cardiovascular subphenotypes in patients with COVID-19 pneumonitis whose lungs are mechanically ventilated: a single-centre retrospective observational study. Anaesthesia 2022; 77:763-771. [PMID: 35243617 PMCID: PMC9314994 DOI: 10.1111/anae.15700] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2022] [Indexed: 12/26/2022]
Abstract
Unsupervised clustering methods of transthoracic echocardiography variables have not been used to characterise circulatory failure mechanisms in patients with COVID‐19 pneumonitis. We conducted a retrospective, single‐centre cohort study in ICU patients with COVID‐19 pneumonitis whose lungs were mechanically ventilated and who underwent transthoracic echocardiography between March 2020 and May 2021. We performed latent class analysis of echocardiographic and haemodynamic variables. We characterised the identified subphenotypes by comparing their clinical parameters, treatment responses and 90‐day mortality rates. We included 305 patients with a median (IQR [range]) age 59 (49–66 [16–83]) y. Of these, 219 (72%) were male, 199 (65%) had moderate acute respiratory distress syndrome and 113 (37%) did not survive more than 90 days. Latent class analysis identified three cardiovascular subphenotypes: class 1 (52%; normal right ventricular function); class 2 (31%; right ventricular dilation with mostly preserved systolic function); and class 3 (17%; right ventricular dilation with systolic impairment). The three subphenotypes differed in their clinical characteristics and response to prone ventilation and outcomes, with 90‐day mortality rates of 22%, 42% and 73%, respectively (p < 0.001). We conclude that the identified subphenotypes aligned with right ventricular pathophysiology rather than the accepted definitions of right ventricular dysfunction, and these identified classifications were associated with clinical outcomes.
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Affiliation(s)
- M Chotalia
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, Birmingham, UK
| | - M Ali
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - J E Alderman
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - J M Patel
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - D Parekh
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
| | - M N Bangash
- Department of Anaesthesia and Critical Care Medicine, Queen Elizabeth Hospital, UK
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5
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Chotalia M, Ali M, Alderman JE, Kalla M, Parekh D, Bangash MN, Patel JM. Right Ventricular Dysfunction and Its Association With Mortality in Coronavirus Disease 2019 Acute Respiratory Distress Syndrome. Crit Care Med 2021; 49:1757-1768. [PMID: 34224453 PMCID: PMC8439642 DOI: 10.1097/ccm.0000000000005167] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To assess whether right ventricular dilation or systolic impairment is associated with mortality and/or disease severity in invasively ventilated patients with coronavirus disease 2019 acute respiratory distress syndrome. DESIGN Retrospective cohort study. SETTING Single-center U.K. ICU. PATIENTS Patients with coronavirus disease 2019 acute respiratory distress syndrome undergoing invasive mechanical ventilation that received a transthoracic echocardiogram between March and December 2020. INTERVENTION None. MEASUREMENTS AND MAIN RESULTS Right ventricular dilation was defined as right ventricular:left ventricular end-diastolic area greater than 0.6, right ventricular systolic impairment as fractional area change less than 35%, or tricuspid annular plane systolic excursion less than 17 mm. One hundred seventy-two patients were included, 59 years old (interquartile range, 49-67), with mostly moderate acute respiratory distress syndrome (n = 101; 59%). Ninety-day mortality was 41% (n = 70): 49% in patients with right ventricular dilation, 53% in right ventricular systolic impairment, and 72% in right ventricular dilation with systolic impairment. The right ventricular dilation with systolic impairment phenotype was independently associated with mortality (odds ratio, 3.11 [95% CI, 1.15-7.60]), but either disease state alone was not. Right ventricular fractional area change correlated with Pao2:Fio2 ratio, Paco2, chest radiograph opacification, and dynamic compliance, whereas right ventricular:left ventricle end-diastolic area correlated negatively with urine output. CONCLUSIONS Right ventricular systolic impairment correlated with pulmonary pathophysiology, whereas right ventricular dilation correlated with renal dysfunction. Right ventricular dilation with systolic impairment was the only right ventricular phenotype that was independently associated with mortality.
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Affiliation(s)
- Minesh Chotalia
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Muzzammil Ali
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Joseph E Alderman
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Manish Kalla
- Department of Cardiology, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Dhruv Parekh
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Mansoor N Bangash
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Jaimin M Patel
- Birmingham Acute Care Research Group, University of Birmingham, Birmingham, United Kingdom
- Department of Anaesthetics and Critical Care, Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
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6
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Bangash MN, Owen A, Alderman JE, Chotalia M, Patel JM, Parekh D. COVID-19 recovery: potential treatments for post-intensive care syndrome. Lancet Respir Med 2020; 8:1071-1073. [PMID: 33058770 PMCID: PMC7550044 DOI: 10.1016/s2213-2600(20)30457-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 09/06/2020] [Accepted: 09/07/2020] [Indexed: 11/29/2022]
Affiliation(s)
- Mansoor N Bangash
- Intensive Care Unit, Queen Elizabeth Hospital, University Hospitals Birmingham National Health Service Foundation Trust, Birmingham B15 2GW, UK; Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
| | - Andrew Owen
- Intensive Care Unit, Queen Elizabeth Hospital, University Hospitals Birmingham National Health Service Foundation Trust, Birmingham B15 2GW, UK,Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Joseph E Alderman
- Intensive Care Unit, Queen Elizabeth Hospital, University Hospitals Birmingham National Health Service Foundation Trust, Birmingham B15 2GW, UK,Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Minesh Chotalia
- Intensive Care Unit, Queen Elizabeth Hospital, University Hospitals Birmingham National Health Service Foundation Trust, Birmingham B15 2GW, UK,Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Jaimin M Patel
- Intensive Care Unit, Queen Elizabeth Hospital, University Hospitals Birmingham National Health Service Foundation Trust, Birmingham B15 2GW, UK,Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
| | - Dhruv Parekh
- Intensive Care Unit, Queen Elizabeth Hospital, University Hospitals Birmingham National Health Service Foundation Trust, Birmingham B15 2GW, UK,Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
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Tilley WD, Horsfall DJ, McGee MA, Alderman JE, Marshall VR. Effects of ageing and hormonal manipulations on the level of oestrogen receptors in the guinea-pig prostate. J Endocrinol 1987; 112:139-44. [PMID: 3819628 DOI: 10.1677/joe.0.1120139] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Cytosolic oestrogen receptor levels in guinea-pig prostate tissue were found to decrease with increasing age, irrespective of whether the binding was expressed relative to cytosolic protein or cellular DNA. This decrease in oestrogen receptor levels was also observed using enriched fibromuscular stromal tissue prepared by mechanical fractionation of the prostate. The most pronounced change in cytosolic oestrogen receptor levels (from 133 to 35 fmol/mg protein) occurred at the onset of puberty. The pubertal decrease in receptor levels could not be attributed to an increase in the level of proteolytic activity in prostatic cytosol fractions derived from mature animals, a change in the affinity of the receptor for oestradiol or an increase in oestrogen receptor levels in salt-extracted nuclear fractions. Administration of tamoxifen (1 mg/day) to intact guinea-pigs throughout the transpubertal growth phase did not influence the age-related decrease in cytosolic and nuclear oestrogen receptor levels. In contrast, the decrease in oestrogen receptor levels was prevented by castration. Administration of dihydrotestosterone (DHT; 1 mg/day) to intact prepubertal animals for 4 days before study resulted in diminished cytosolic oestrogen receptor levels; this effect of DHT was blocked by the non-steroidal antiandrogen flutamide (2 mg/day). Furthermore, elimination of testicular hormones by castration during the late-pubertal growth phase resulted in a greater than twofold increase in prostatic oestrogen receptor levels. Collectively, these observations suggest an age-related decrease in oestrogen receptor levels in the guinea-pig prostate which, in part, may be due to increased testicular function at puberty.
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