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Seidman G, Chenn R, David S, Lee M, Leffler J, Moore M, Stumpf S, Viswanathan G, Pate MA, Sidibé M, Makadzange T, Mariano R, Daniels K, Akodu M, Soe-Lin S. Scaling up clinical research capacity in Africa requires more non-communicable disease studies. Lancet 2025; 405:1211-1213. [PMID: 40147476 DOI: 10.1016/s0140-6736(25)00508-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2025] [Accepted: 03/13/2025] [Indexed: 03/29/2025]
Affiliation(s)
| | - Roger Chenn
- Jackson School of Global Affairs, Yale University, New Haven, CT, USA
| | - Sophia David
- Jackson School of Global Affairs, Yale University, New Haven, CT, USA
| | - Matthew Lee
- Jackson School of Global Affairs, Yale University, New Haven, CT, USA
| | - Josh Leffler
- Jackson School of Global Affairs, Yale University, New Haven, CT, USA
| | - Magdalena Moore
- Jackson School of Global Affairs, Yale University, New Haven, CT, USA
| | - Sophia Stumpf
- Jackson School of Global Affairs, Yale University, New Haven, CT, USA
| | | | | | | | | | | | - Kyle Daniels
- Africa Clinical Research Network, Harare, Zimbabwe; Department of Global Health, University of Washington, Seattle, WA, USA
| | | | - Shan Soe-Lin
- Jackson School of Global Affairs, Yale University, New Haven, CT, USA; Pharos Global Health Advisors, Boston, MA, USA
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Jeyakumar Y, Richardson L, Sarma S, Retnakaran R, Kramer CK. Representation of racialised and ethnically diverse populations in multicentre randomised controlled trials of GLP-1 medicines for obesity: a systematic review and meta-analysis of gaps. BMJ Glob Health 2024; 9:e017177. [PMID: 39608857 PMCID: PMC11603712 DOI: 10.1136/bmjgh-2024-017177] [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: 08/14/2024] [Accepted: 11/01/2024] [Indexed: 11/30/2024] Open
Abstract
INTRODUCTION Trials of GLP-1 (glucagon-like peptide-1) medicines have changed the paradigm of obesity treatment. Diversity in trial participation is imperative considering that obesity disproportionately impacts marginalised populations worldwide. We performed a systematic review and meta-analyses to evaluate the representation of racialised and ethnically diverse populations in randomised controlled trials (RCTs) of GLP-1 medicines for obesity. METHODS We searched PubMed/Embase/ClinicalTrials.gov. Prevalence of each racial/ethnic group was compared in relation to the USA, Canada, the UK, Brazil and South Africa. The geographical locations of the trial sites were extracted. RESULTS 27 RCTs were identified (n=21 547 participants). Meta-analyses of prevalence demonstrated the vast predominance of white/Caucasians (79%) with smaller proportion of blacks (9%), Asians (13%), Indigenous (2%) and Hispanics (22%). The gaps in representation were evidenced by the significantly under-represented proportion of non-white individuals in these RCTs as compared with the prevalence of non-white individuals in the general population of the USA (-23%, p=0.002) and Canada (-34%, p<0.0001), reaching an alarming gap of -58% in relation to Brazil and striking under-representation of -68% as compared with South Africa. Similar discrepancies in proportions of blacks, Asians and Indigenous peoples as compared with reference nations were found. Moreover, the trial sites (n=1859) were predominately located in high-income countries (84.2%), in sharp contrast to the global prevalence of obesity that is predominantly in low-income and middle-income countries. CONCLUSION There are discrepancies in representation of racialised and ethnically diverse populations in obesity trials as compared with multiethnic populations worldwide. These data highlight the need for broader reform in the research process in order to ultimately address health inequities.
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Affiliation(s)
- Yaanu Jeyakumar
- Mount Sinai Hospital, Toronto, Ontario, Canada
- University of Toronto, Toronto, Ontario, Canada
| | | | - Shohinee Sarma
- University of Toronto, Toronto, Ontario, Canada
- Harvard Medical School, Boston, Massachusetts, USA
| | - Ravi Retnakaran
- Mount Sinai Hospital, Toronto, Ontario, Canada
- University of Toronto, Toronto, Ontario, Canada
| | - Caroline K Kramer
- Mount Sinai Hospital, Toronto, Ontario, Canada
- University of Toronto, Toronto, Ontario, Canada
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Hoffecker G, Keat K, Mulugeta-Gordon L, Risman M, Verma SS, Deagostino-Kelly M, Tuteja S. Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patients. Pharmacogenomics 2024; 25:587-594. [PMID: 39545769 DOI: 10.1080/14622416.2024.2428585] [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: 09/09/2024] [Accepted: 11/08/2024] [Indexed: 11/17/2024] Open
Abstract
OBJECTIVE This study aimed to estimate the clinical utility of performing multi-gene pharmacogenetic testing on patients undergoing gynecologic surgery/procedure by evaluating the prescribing rate of Clinical Pharmacogenetics Implementation Consortium (CPIC) level A medications and frequency of drug-gene interactions (DGIs). METHODS The electronic health record was queried for 76 current procedural terminology codes to identify gynecologic surgeries/procedures that occurred between 1 January 2015 to 31 December 2020 in patients with at least one of 152 international classification of disease codes. Prescription data for CPIC level A medications was extracted. Those enrolled in the Penn Medicine Biobank were assessed for DGIs. RESULTS The cohort consisted of 7798 female patients and 682 were in the biobank. Up to 6 years following their surgery or procedure, 80% were ordered ≥1 CPIC level A medication. Over half (54%) of these medications were ordered within 3 days after their surgery or procedure. The most common CPIC level A medications ordered were ibuprofen (57%) and ondansetron (42%). Overall, 7% of the cohort had ≥1 known or predicted DGI with medications they were prescribed. CONCLUSION Multi-gene pharmacogenetic testing may be beneficial to gynecologic surgery/procedure patients by assisting clinicians with prescribing postoperative analgesics and future medications.
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Affiliation(s)
- Glenda Hoffecker
- Department of Pharmacy, Penn Medicine Hospital of University of Pennsylvania, Philadelphia, PA, USA
| | - Karl Keat
- Genomics & Computational Biology PhD Program, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Lakeisha Mulugeta-Gordon
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Penn Medicine Hospital of University of Pennsylvania, Philadelphia, PA, USA
| | - Marjorie Risman
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shefali S Verma
- Department of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Mary Deagostino-Kelly
- Division of General Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Penn Medicine Hospital of the University of Pennsylvania, Philadelphia, PA, USA
| | - Sony Tuteja
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Zhang X, Geng Q, Lin L, Zhang L, Shi C, Liu B, Yan L, Cao Z, Li L, Lu P, Tan Y, He X, Zhao N, Li L, Lu C. Insights gained into the injury mechanism of drug and herb induced liver injury in the hepatic microenvironment. Toxicology 2024; 507:153900. [PMID: 39079402 DOI: 10.1016/j.tox.2024.153900] [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: 06/08/2024] [Revised: 07/25/2024] [Accepted: 07/26/2024] [Indexed: 08/17/2024]
Abstract
Drug-Induced Liver Injury (DILI) and herb Induced Liver Injury (HILI) continues to pose a substantial challenge in both clinical practice and drug development, representing a grave threat to patient well-being. This comprehensive review introduces a novel perspective on DILI and HILI by thoroughly exploring the intricate microenvironment of the liver. The dynamic interplay among hepatocytes, sinusoidal endothelial cells, Kupffer cells, hepatic stellate cells, cholangiocytes, and the intricate vascular network assumes a central role in drug metabolism and detoxification. Significantly, this microenvironment is emerging as a critical determinant of susceptibility to DILI and HILI. The review delves into the multifaceted interactions within the liver microenvironment, providing valuable insights into the complex mechanisms that underlie DILI and HILI. Furthermore, we discuss potential strategies for mitigating drug-induced liver injury by targeting these influential factors, emphasizing their clinical relevance. By highlighting recent advances and future prospects, our aim is to shed light on the promising avenue of leveraging the liver microenvironment for the prevention and mitigation of DILI and HILI. This deeper understanding is crucial for advancing clinical practices and ensuring patient safety in the realm of DILI and HILI.
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Affiliation(s)
- Xiaomeng Zhang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qi Geng
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lin Lin
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lulu Zhang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Changqi Shi
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Bin Liu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lan Yan
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhiwen Cao
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Li Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Peipei Lu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yong Tan
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaojuan He
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ning Zhao
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Li Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Cheng Lu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
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Alsaqaaby MS, Cooney S, le Roux CW, Pournaras DJ. Sex, race, and BMI in clinical trials of medications for obesity over the past three decades: a systematic review. Lancet Diabetes Endocrinol 2024; 12:414-421. [PMID: 38723646 DOI: 10.1016/s2213-8587(24)00098-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 03/15/2024] [Accepted: 03/25/2024] [Indexed: 05/25/2024]
Abstract
Medications for obesity have been studied in various populations over the past three decades. We aimed to quantify the baseline demographic characteristics of BMI, sex, age, and race in randomised clinical trials (RCTs) across three decades to establish whether the population studied is representative of the global population affected by the disease. Clinical trials of 12 medications for obesity (ie, orlistat, naltrexone-bupropion, topiramate-phentermine, liraglutide, semaglutide, lorcaserin, sibutramine, rimonabant, taranabant, tirzepatide, retatrutide, and orforglipron) published from Jan 20, 1999, to Nov 12, 2023, were assessed through a systematic review for methodological quality and baseline demographic characteristics. 246 RCTs were included, involving 139 566 participants with or without type 2 diabetes. Most trials over-recruited White, female participants aged 40 years or older with class 1 (30·0-34·9 kg/m2) and class 2 (35·0-39·9 kg/m2) obesity; older participants, those with class 3 (≥40·0 kg/m2) obesity, non-White participants, and male participants were under-recruited. Our systematic review suggests that future trials need to recruit traditionally under-represented populations to allow for accurate measures of efficacy of medications for obesity, enabling more informed decisions by clinicians. It is also hoped that these data will help to refine trial recruitment strategies to ensure that future studies are relevant to the population affected by obesity.
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Affiliation(s)
- Moath S Alsaqaaby
- Diabetes Complications Research Centre, Conway Institute, University College Dublin, Dublin, Ireland; Obesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Sarah Cooney
- Diabetes Complications Research Centre, Conway Institute, University College Dublin, Dublin, Ireland
| | - Carel W le Roux
- Diabetes Complications Research Centre, Conway Institute, University College Dublin, Dublin, Ireland; Diabetes Research Centre, Ulster University, Coleraine, UK
| | - Dimitri J Pournaras
- Department of Bariatric and Metabolic Surgery, North Bristol National Health Service Trust, Bristol, UK.
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Jolly B, Scaria V. Ethnic differences in pharmacogenomic variants: a south Asian perspective. Pharmacogenomics 2024; 25:171-174. [PMID: 38511426 DOI: 10.2217/pgs-2024-0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 02/14/2024] [Indexed: 03/22/2024] Open
Affiliation(s)
- Bani Jolly
- Karkinos Healthcare Private Limited (KHPL), Aurbis Business Parks, Bellandur, Bengaluru, Karnataka, 560103, India
| | - Vinod Scaria
- Vishwanath Cancer Care Foundation (VCCF), Neelkanth Business Park Kirol Village, West Mumbai, Maharashtra, 400086, India
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Hashmi HZ, Khowaja A, Moheet A. Experimental pharmacological approaches to reverse impaired awareness of hypoglycemia-a review. Front Pharmacol 2024; 15:1349004. [PMID: 38323079 PMCID: PMC10844401 DOI: 10.3389/fphar.2024.1349004] [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: 12/03/2023] [Accepted: 01/04/2024] [Indexed: 02/08/2024] Open
Abstract
The colossal global burden of diabetes management is compounded by the serious complication of hypoglycemia. Protective physiologic hormonal and neurogenic counterregulatory responses to hypoglycemia are essential to preserve glucose homeostasis and avert serious morbidity. With recurrent exposure to hypoglycemic episodes over time, these counterregulatory responses to hypoglycemia can diminish, resulting in an impaired awareness of hypoglycemia (IAH). IAH is characterized by sudden neuroglycopenia rather than preceding cautionary autonomic symptoms. IAH increases the risk of subsequent sudden and severe hypoglycemic episodes in patients with diabetes. The postulated causative mechanisms behind IAH are complex and varied. It is therefore challenging to identify a single effective therapeutic strategy. In this review, we closely examine the efficacy and feasibility of a myriad of pharmaceutical interventions in preventing and treating IAH as described in clinical and preclinical studies. Pharmaceutical agents outlined include N-acetyl cysteine, GABA A receptor blockers, opioid receptor antagonists, AMP activated protein kinase agonists, potassium channel openers, dehydroepiandrosterone, metoclopramide, antiadrenergic agents, antidiabetic agents and glucagon.
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Affiliation(s)
- Hiba Z. Hashmi
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, University of Minnesota, Minneapolis, MN, United States
| | - Ameer Khowaja
- Northeast Endocrinology Associates, San Antonio, TX, United States
| | - Amir Moheet
- Division of Diabetes, Endocrinology and Metabolism, Department of Medicine, University of Minnesota, Minneapolis, MN, United States
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Jordan IK, Sharma S, Mariño-Ramírez L. Population Pharmacogenomics for Health Equity. Genes (Basel) 2023; 14:1840. [PMID: 37895188 PMCID: PMC10606908 DOI: 10.3390/genes14101840] [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: 07/28/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
Health equity means the opportunity for all people and populations to attain optimal health, and it requires intentional efforts to promote fairness in patient treatments and outcomes. Pharmacogenomic variants are genetic differences associated with how patients respond to medications, and their presence can inform treatment decisions. In this perspective, we contend that the study of pharmacogenomic variation within and between human populations-population pharmacogenomics-can and should be leveraged in support of health equity. The key observation in support of this contention is that racial and ethnic groups exhibit pronounced differences in the frequencies of numerous pharmacogenomic variants, with direct implications for clinical practice. The use of race and ethnicity to stratify pharmacogenomic risk provides a means to avoid potential harm caused by biases introduced when treatment regimens do not consider genetic differences between population groups, particularly when majority group genetic profiles are assumed to hold for minority groups. We focus on the mitigation of adverse drug reactions as an area where population pharmacogenomics can have a direct and immediate impact on public health.
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Affiliation(s)
- I. King Jordan
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA;
| | - Shivam Sharma
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA;
| | - Leonardo Mariño-Ramírez
- National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD 20892, USA;
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