Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101420
The Lancet Planetary Health
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Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101389
Thais Araújo Cavendish , Thiago Nogueira
{"title":"A call to action: climate leadership at the World Health Assembly","authors":"Thais Araújo Cavendish , Thiago Nogueira","doi":"10.1016/j.lanplh.2025.101389","DOIUrl":"10.1016/j.lanplh.2025.101389","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 12","pages":"Article 101389"},"PeriodicalIF":21.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145606893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101394
Yu Zhang PhD , Qi Sun PhD , Yi-Xin Wang PhD , Yang Sun MD , Prof Mariana F Fernández PhD , Carmen Messerlian PhD , Vicente Mustieles PhD
Background
Plastic pollution is a major environmental and health issue. To cover knowledge gaps, this study aimed to examine the association between population exposure to plasticiser mixtures and mortality, estimate the attributable public health burden, and explore potential nutritional mitigation measures.
Methods
This prospective population-based study included non-pregnant US adults aged 20 years or older free from cardiovascular diseases and cancer at baseline from the US National Health and Nutrition Examination Survey 2005–16. The main outcome was mortality status and cause of death, which was confirmed using ICD-9 and ICD-10 codes. Baseline urinary concentrations of eight phthalate metabolites and bisphenol A were selected a priori based on a comprehensive review of the toxicological and epidemiological evidence and modelled as a plasticiser mixture by quantile-based g-computation. Vitamin concentrations were examined as effect modifiers.
Findings
8378 adults were included. Over 71 127 person-years of follow-up (average 8·5 years per person), 633 deaths occurred. Each tertile increase in the mixture concentration was positively associated with all-cause mortality (hazard ratio 1·35, 95% CI 1·02–1·78), cancer mortality (1·79, 1·06–3·03), and cardiovascular disease mortality (1·83, 1·04–3·22). An estimated 10·31% (95% CI 0·78–20·38) of total deaths were attributable to a tertile increase in the mixture, equating to 256 471 annual excess deaths in the USA. The mixture association with all-cause, cancer, or cardiovascular disease mortality was observed only in individuals with serum vitamin D or red blood cell folate concentrations in the lowest tertile, but not in the upper tertiles.
Interpretation
Exposure to a mixture of common plasticisers was associated with increased all-cause, cancer, and cardiovascular disease mortality risk. Vitamin D and folate appeared to mitigate these associations. The findings underscore the need to reduce plasticiser exposure, optimise vitamin intake, and regulate chemicals by class.
Funding
Instituto de Salud Carlos III (Spain) and NextGeneration EU.
背景：塑料污染是一个重大的环境和健康问题。为了弥补知识空白，本研究旨在研究人群接触塑化剂混合物与死亡率之间的关系，估计可归因的公共卫生负担，并探索潜在的营养缓解措施。方法：这项基于人群的前瞻性研究纳入了2005- 2016年美国国家健康与营养调查中无心血管疾病和癌症的20岁或以上未怀孕的美国成年人。主要结果是死亡率状况和死亡原因，使用ICD-9和ICD-10代码进行确认。八种邻苯二甲酸盐代谢物和双酚A的基线尿液浓度是基于毒理学和流行病学证据的综合审查先验选择的，并通过基于分位数的g计算建模为塑化剂混合物。研究了维生素浓度作为效果调节剂。结果：纳入8378名成年人。在71 127人年的随访中（平均每人8.5年），发生了633例死亡。混合浓度每增加一分位数与全因死亡率（危险比1.35,95% CI 1.02 - 1.78）、癌症死亡率（1.79,1.06 - 3.03）和心血管疾病死亡率（1.83,1.04 - 3.22）呈正相关。估计总死亡人数的10.31% （95% CI 0.78 - 20.38）可归因于混合物的1 / 5增加，相当于美国每年的额外死亡人数为256471人。与全因、癌症或心血管疾病死亡率的混合关联仅在血清维生素D或红细胞叶酸浓度最低的个体中观察到，而在最高的个体中没有观察到。解释：暴露于常见增塑剂混合物与全因、癌症和心血管疾病死亡风险增加有关。维生素D和叶酸似乎减轻了这些关联。研究结果强调了减少塑化剂暴露、优化维生素摄入和按类别调节化学品的必要性。资助：卡洛斯三世研究所（西班牙）和下一代欧盟。
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Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101384
Huihuan Luo PhD , Tanchun Yu MS , Ya Gao BA , Yixiang Zhu PhD , Lu Zhou PhD , Anni Li MS , Peng Yin PhD , Prof Haidong Kan PhD , Prof Maigeng Zhou PhD , Prof Xiujuan Zhang PhD , Prof Renjie Chen PhD
<div><h3>Background</h3><div>Rising global temperatures and diabetes pose growing health risks worldwide. Individuals with diabetes are particularly vulnerable to heat, mainly because of impaired thermoregulation. However, the specific heat-related mortality risks associated with diabetes subtypes and complications remain poorly quantified.</div></div><div><h3>Methods</h3><div>We conducted a nationwide, individual-level, time-stratified case-crossover study encompassing 289 902 diabetes-related deaths across mainland China from 2013 to 2019. Death records for 2013–19 were sourced from the China Cause of Death Reporting System, a nationwide surveillance system. We used conditional logistic regression incorporating a distributed lag non-linear model to estimate temperature–mortality associations at the national level for overall diabetes, primary diabetes subtypes (type 1 and type 2), and specific complications (diabetic coma, diabetic ketoacidosis, diabetic nephropathy, and diabetes with peripheral vascular disease [PVD]). We examined how the associations varied across the temperate continental, temperate monsoon, and subtropical monsoon zones. The future heat-attributable diabetes mortality burden up to 2099 was projected under three shared socioeconomic pathways (SSP126 [low emissions], SSP245 [moderate emissions], and SSP585 [high emissions]). Additionally, we modelled several adaptation scenarios by assuming 10%, 30%, and 50% reductions in the exposure–response coefficients.</div></div><div><h3>Findings</h3><div>Exposure to extreme high temperatures (97·5th percentile [31·0°C]) compared with the minimum mortality temperature was associated with an increase in overall diabetes mortality (odds ratio [OR] 1·25, 95% CI 1·22–1·29) over a 0–6 day lag period, with the magnitude of risk higher in cooler regions. Heat-related mortality outcomes for diabetes subtypes and complications varied geographically. In warmer zones, individuals with type 2 diabetes were at higher risk of mortality than those with type 1 diabetes (eg, OR 1·21 [95% CI 1·16–1·26] <em>vs</em> 1·14 [1·04–1·26] in the subtropical monsoon zone [warmest region]), whereas the opposite held in cooler zones (1·31 [1·09–1·58] <em>vs</em> 1·65 [1·17–2·33] in the temperate continental zone [coldest region]). By climate zone, the most heat-sensitive complications were diabetic ketoacidosis and nephropathy, in the subtropical zone; PVD and nephropathy, in the temperate monsoon zone; and diabetic coma and PVD, in the temperate continental zone. We projected that by the 2090s, under a high emission scenario (SSP585), the heat-attributable fraction of diabetes deaths would reach 11·16% (empirical 95% CI 6·11–18·01). In the temperate continental zone, we projected a burden of 29·02% (7·53 to 44·58) of diabetes coma deaths attributable to heat, followed by PVD (28·65% [–22·60 to 46·95]) and nephropathy (17·40% [–4.41 to 31·27]). Population ageing and growth were projected to increase the burden of o
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Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101376
Erin Coughlan de Perez , Ahmed Ishtiaque Amin Chowdhury , Glecy Atienza , Sonia Binte Murshed , Ramon Christopher A Caballero , Dennis De La Torre , Aira Joy Delos Angeles , Desderius Haufiku , Alexa Samantha R Hernandez , Md. Monirul Islam , Kenneth Lekatsa , Selma Lendelvo , Tandi Litwayi , Makoala V Marake , Joalane Marunye , Mashfiqus Salehin , Kebitsamang Mothibe , Elena Naumova , Mothusi Nyofane , Garimoi Christopher Orach , Carolyn Van Sant
{"title":"Beyond the narrow lens: the power of an interdisciplinary approach to climate and health research and training","authors":"Erin Coughlan de Perez , Ahmed Ishtiaque Amin Chowdhury , Glecy Atienza , Sonia Binte Murshed , Ramon Christopher A Caballero , Dennis De La Torre , Aira Joy Delos Angeles , Desderius Haufiku , Alexa Samantha R Hernandez , Md. Monirul Islam , Kenneth Lekatsa , Selma Lendelvo , Tandi Litwayi , Makoala V Marake , Joalane Marunye , Mashfiqus Salehin , Kebitsamang Mothibe , Elena Naumova , Mothusi Nyofane , Garimoi Christopher Orach , Carolyn Van Sant","doi":"10.1016/j.lanplh.2025.101376","DOIUrl":"10.1016/j.lanplh.2025.101376","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 12","pages":"Article 101376"},"PeriodicalIF":21.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145446390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101377
Peninah Murage PhD , Charlotte Hicks MA , Valerie Kapos PhD , Santhuri Naidoo MSc , Syreen Hassan PhD , Sarah Whitmee PhD
Human health stands to benefit from a deeper understanding of the mechanisms by which ecosystems affect health and wellbeing. However, achieving this understanding requires overcoming conceptual and practical challenges in both public health and ecology. Despite growing recognition of the importance of natural ecosystems for human health, the health sector has yet to fully integrate this ever-growing body of evidence to inform policy and practice. Substantial conceptual differences underpin the disciplinary divide between health and ecology. For example, environmental health research disciplines, such as epidemiology, emphasise the adverse effects of environmental exposures, such as water and air pollutants, as well as naturally occurring hazards, such as radon or arsenic. By contrast, ecology focuses on nature’s contributions to people through ecosystem services, including food provision, climate regulation, or disaster management. These conceptual differences create a misalignment in evidence generation, in setting priorities for policy, and in the implementation of solutions. Methodological differences further complicate the alignment of health and ecology datasets, particularly when exposures and outcomes occur across different spatiotemporal scales. The disciplines also differ on how to define pathways from exposure to health and how to quantify and communicate effects. Consequently, each discipline often reinforces its existing views instead of leveraging the combined knowledge base for a broader understanding. This Personal View outlines practical steps to bridging the divide and fostering transdisciplinary collaboration by recognising the dynamic interactions between health and natural ecosystems, integrating conceptual frameworks across disciplines, and addressing methodological challenges in assessing impacts.
{"title":"Safeguarding natural ecosystems can protect population health: advancing approaches to bridge the health–ecology divide","authors":"Peninah Murage PhD , Charlotte Hicks MA , Valerie Kapos PhD , Santhuri Naidoo MSc , Syreen Hassan PhD , Sarah Whitmee PhD","doi":"10.1016/j.lanplh.2025.101377","DOIUrl":"10.1016/j.lanplh.2025.101377","url":null,"abstract":"<div><div>Human health stands to benefit from a deeper understanding of the mechanisms by which ecosystems affect health and wellbeing. However, achieving this understanding requires overcoming conceptual and practical challenges in both public health and ecology. Despite growing recognition of the importance of natural ecosystems for human health, the health sector has yet to fully integrate this ever-growing body of evidence to inform policy and practice. Substantial conceptual differences underpin the disciplinary divide between health and ecology. For example, environmental health research disciplines, such as epidemiology, emphasise the adverse effects of environmental exposures, such as water and air pollutants, as well as naturally occurring hazards, such as radon or arsenic. By contrast, ecology focuses on nature’s contributions to people through ecosystem services, including food provision, climate regulation, or disaster management. These conceptual differences create a misalignment in evidence generation, in setting priorities for policy, and in the implementation of solutions. Methodological differences further complicate the alignment of health and ecology datasets, particularly when exposures and outcomes occur across different spatiotemporal scales. The disciplines also differ on how to define pathways from exposure to health and how to quantify and communicate effects. Consequently, each discipline often reinforces its existing views instead of leveraging the combined knowledge base for a broader understanding. This Personal View outlines practical steps to bridging the divide and fostering transdisciplinary collaboration by recognising the dynamic interactions between health and natural ecosystems, integrating conceptual frameworks across disciplines, and addressing methodological challenges in assessing impacts.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 12","pages":"Article 101377"},"PeriodicalIF":21.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145476826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101391
Anand Bhopal MBChB PhD , Martin Hensher PhD , Andrea J MacNeill MD , Ole F Norheim MD PhD , Jodi D Sherman MD , Craig Mitton PhD
Priority setting in health care is a research and practice area at the intersection of medicine, ethics, and economics, which aims to systematically and transparently evaluate the value for money of health services to support fair resource allocation. Three widely accepted principles for fair priority setting are cost-effectiveness, priority to the worse off, and financial risk protection, with a wide range of other contested criteria. Conceptualising and navigating potential synergies and trade-offs between competing goals, and clearly communicating the values at stake, are the central tasks of priority setting. It is now increasingly clear that health care systems have substantial environmental effects that have been largely overlooked, and that the growing movement towards high-quality, low-polluting, and climate-resilient health systems has potentially far-reaching implications for resource allocation. This Personal View explores how priority setting tools can facilitate the transition to environmentally sustainable health care. We outline the key principles of priority setting in health care and explore how environmental sustainability can be incorporated into resource allocation tools, such as health technology assessment and multicriteria decision analysis, as well as budgetary processes, such as programme budgeting and marginal analysis. We conclude with some implications for wider health system transformation.
{"title":"Priority setting for environmentally sustainable health care: emerging approaches to fair resource allocation","authors":"Anand Bhopal MBChB PhD , Martin Hensher PhD , Andrea J MacNeill MD , Ole F Norheim MD PhD , Jodi D Sherman MD , Craig Mitton PhD","doi":"10.1016/j.lanplh.2025.101391","DOIUrl":"10.1016/j.lanplh.2025.101391","url":null,"abstract":"<div><div>Priority setting in health care is a research and practice area at the intersection of medicine, ethics, and economics, which aims to systematically and transparently evaluate the value for money of health services to support fair resource allocation. Three widely accepted principles for fair priority setting are cost-effectiveness, priority to the worse off, and financial risk protection, with a wide range of other contested criteria. Conceptualising and navigating potential synergies and trade-offs between competing goals, and clearly communicating the values at stake, are the central tasks of priority setting. It is now increasingly clear that health care systems have substantial environmental effects that have been largely overlooked, and that the growing movement towards high-quality, low-polluting, and climate-resilient health systems has potentially far-reaching implications for resource allocation. This Personal View explores how priority setting tools can facilitate the transition to environmentally sustainable health care. We outline the key principles of priority setting in health care and explore how environmental sustainability can be incorporated into resource allocation tools, such as health technology assessment and multicriteria decision analysis, as well as budgetary processes, such as programme budgeting and marginal analysis. We conclude with some implications for wider health system transformation.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 12","pages":"Article 101391"},"PeriodicalIF":21.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145844451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101334
Yijing Feng MHS , Tingfan Jin MS , Yaguang Wei PhD , Prof Kyle Steenland PhD , Prof Joel Schwartz PhD
<div><h3>Background</h3><div>The health burden from cancer has markedly increased over the past 20 years. Total PM<sub>2·5</sub> has been identified as an environmental risk factor for cancer. However, how each constituent of PM<sub>2·5</sub> contributes to the development of cancer is largely unknown. We aimed to investigate the association between 15 PM<sub>2·5</sub> constituents, sources of PM<sub>2·5</sub>, and the incidence of five common cancers among adults aged 65 years and older in the USA.</div></div><div><h3>Methods</h3><div>For this national cohort study, we included beneficiaries of Medicare in the USA, aged 65 or older, who were followed for various time periods between Jan 1, 2000, and Dec 31, 2018. The concentrations of 15 PM<sub>2·5</sub> constituents in the contiguous USA were estimated using ensemble machine learning models, and the sources of PM<sub>2·5</sub> were identified from the PM<sub>2·5</sub> constituent data using non-negative matrix factorisation. The outcomes were incident lung, colorectal, prostate, breast, and endometrial cancers, for which information was extracted from the Medicare Chronic Conditions Data Warehouse database. Associations between PM<sub>2·5</sub> constituents and the outcomes were investigated using a generalised weighted-quantile sum regression model with the Cox-approximate Poisson method, and associations between PM<sub>2·5</sub> sources and outcomes were investigated using Cox-approximate Poisson regression models.</div></div><div><h3>Findings</h3><div>15 138 652 Medicare beneficiaries were included in the study, with a median follow-up period of 9 years (IQR 5–15). The incidences per 1000 person-years were 15·9 for lung cancer, 18·9 for colorectal cancer, 73·5 for prostate cancer, 50·7 for breast cancer, and 11·4 for endometrial cancer. Each one-decile increase in exposure to the PM<sub>2·5</sub> mixture was associated with incident rate increases of 6·4% (95% CI 5·9 to 6·9) for lung cancer, 4·3% (3·8 to 4·8) for colorectal cancer, 3·6% (3·1 to 3·9) for prostate cancer, and 2·0% (1·7 to 2·4) for breast cancer. No association was observed for endometrial cancer (0·4% [−0·4 to 1·1]). Of the PM<sub>2·5</sub> constituents, vanadium contributed the largest relative weight in the observed associations (ranging from 23·7–36·1%). Increased incidence of all five cancers was associated with PM<sub>2·5</sub> sourced from fuel oil combustion (14·1% [95% CI 6·5–22·3] for lung cancer, 15·6% [7·5–24·2] for colorectal cancer, 18·4% [5·2–33·4] for prostate cancer, 9·2% [7·9–10·5] for breast cancer, and 5·6% [2·9–8·3] for endometrial cancer for each 1 μg/m<sup>3</sup> increase in concentration) and with PM<sub>2·5</sub> sourced from coal combustion (6·9% [3·3–10·7] for lung cancer, 9·2% [6·6–11·9] for colorectal cancer, 7·3% [3·6–11·1] for prostate cancer, 6·2% [3·2–9·3] for breast cancer, and 3·3% [2·2–4·3] for endometrial cancer).</div></div><div><h3>Interpretation</h3><div>PM<sub>2·5</sub> exposure was ass
{"title":"Long-term exposure to PM2·5 constituents and incident cancer among Medicare beneficiaries in the USA: a national cohort study","authors":"Yijing Feng MHS , Tingfan Jin MS , Yaguang Wei PhD , Prof Kyle Steenland PhD , Prof Joel Schwartz PhD","doi":"10.1016/j.lanplh.2025.101334","DOIUrl":"10.1016/j.lanplh.2025.101334","url":null,"abstract":"<div><h3>Background</h3><div>The health burden from cancer has markedly increased over the past 20 years. Total PM<sub>2·5</sub> has been identified as an environmental risk factor for cancer. However, how each constituent of PM<sub>2·5</sub> contributes to the development of cancer is largely unknown. We aimed to investigate the association between 15 PM<sub>2·5</sub> constituents, sources of PM<sub>2·5</sub>, and the incidence of five common cancers among adults aged 65 years and older in the USA.</div></div><div><h3>Methods</h3><div>For this national cohort study, we included beneficiaries of Medicare in the USA, aged 65 or older, who were followed for various time periods between Jan 1, 2000, and Dec 31, 2018. The concentrations of 15 PM<sub>2·5</sub> constituents in the contiguous USA were estimated using ensemble machine learning models, and the sources of PM<sub>2·5</sub> were identified from the PM<sub>2·5</sub> constituent data using non-negative matrix factorisation. The outcomes were incident lung, colorectal, prostate, breast, and endometrial cancers, for which information was extracted from the Medicare Chronic Conditions Data Warehouse database. Associations between PM<sub>2·5</sub> constituents and the outcomes were investigated using a generalised weighted-quantile sum regression model with the Cox-approximate Poisson method, and associations between PM<sub>2·5</sub> sources and outcomes were investigated using Cox-approximate Poisson regression models.</div></div><div><h3>Findings</h3><div>15 138 652 Medicare beneficiaries were included in the study, with a median follow-up period of 9 years (IQR 5–15). The incidences per 1000 person-years were 15·9 for lung cancer, 18·9 for colorectal cancer, 73·5 for prostate cancer, 50·7 for breast cancer, and 11·4 for endometrial cancer. Each one-decile increase in exposure to the PM<sub>2·5</sub> mixture was associated with incident rate increases of 6·4% (95% CI 5·9 to 6·9) for lung cancer, 4·3% (3·8 to 4·8) for colorectal cancer, 3·6% (3·1 to 3·9) for prostate cancer, and 2·0% (1·7 to 2·4) for breast cancer. No association was observed for endometrial cancer (0·4% [−0·4 to 1·1]). Of the PM<sub>2·5</sub> constituents, vanadium contributed the largest relative weight in the observed associations (ranging from 23·7–36·1%). Increased incidence of all five cancers was associated with PM<sub>2·5</sub> sourced from fuel oil combustion (14·1% [95% CI 6·5–22·3] for lung cancer, 15·6% [7·5–24·2] for colorectal cancer, 18·4% [5·2–33·4] for prostate cancer, 9·2% [7·9–10·5] for breast cancer, and 5·6% [2·9–8·3] for endometrial cancer for each 1 μg/m<sup>3</sup> increase in concentration) and with PM<sub>2·5</sub> sourced from coal combustion (6·9% [3·3–10·7] for lung cancer, 9·2% [6·6–11·9] for colorectal cancer, 7·3% [3·6–11·1] for prostate cancer, 6·2% [3·2–9·3] for breast cancer, and 3·3% [2·2–4·3] for endometrial cancer).</div></div><div><h3>Interpretation</h3><div>PM<sub>2·5</sub> exposure was ass","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 12","pages":"Article 101334"},"PeriodicalIF":21.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145745062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01DOI: 10.1016/j.lanplh.2025.101390
Nurshad Ali PhD , Jenny Katsouli MRes , Eric Auyang MSc , Jorge Bernardino de la Serna PhD
Microplastics and nanoplastics (MNPs) are emerging pollutants widely dispersed in the environment, with humans primarily exposed through ingestion and inhalation. Although their biological effects are being increasingly studied, their potential effect on human health and disease risk remains uncertain. This Review summarises evidence on potential disease risks of human exposure to MNPs, while highlighting key limitations and research gaps. Evidence suggests that MNP exposure might elevate the risk of various diseases, including metabolic, respiratory, cardiovascular, neuroendocrine, hepatic, renal, and skin disorders, as well as infectious diseases, cancer, and ageing-related disorders. Despite extensive evidence of adverse effects in animal models and cell cultures, direct evidence linking MNP exposure to human disease risk remains scarce. A key challenge on research of MNPs lies in the scarcity of robust human exposure data and the narrow scope of existing studies on specific types of MNPs, leaving several environmentally prevalent plastic particles understudied. Addressing these gaps will require investigating the mechanisms of toxicity, relevant biomarkers, and disease pathways associated with MNP exposure. Such efforts will be essential to clarify human health risks and inform future regulatory and mitigation strategies.
{"title":"Microplastic and nanoplastic pollution and associated potential disease risks","authors":"Nurshad Ali PhD , Jenny Katsouli MRes , Eric Auyang MSc , Jorge Bernardino de la Serna PhD","doi":"10.1016/j.lanplh.2025.101390","DOIUrl":"10.1016/j.lanplh.2025.101390","url":null,"abstract":"<div><div>Microplastics and nanoplastics (MNPs) are emerging pollutants widely dispersed in the environment, with humans primarily exposed through ingestion and inhalation. Although their biological effects are being increasingly studied, their potential effect on human health and disease risk remains uncertain. This Review summarises evidence on potential disease risks of human exposure to MNPs, while highlighting key limitations and research gaps. Evidence suggests that MNP exposure might elevate the risk of various diseases, including metabolic, respiratory, cardiovascular, neuroendocrine, hepatic, renal, and skin disorders, as well as infectious diseases, cancer, and ageing-related disorders. Despite extensive evidence of adverse effects in animal models and cell cultures, direct evidence linking MNP exposure to human disease risk remains scarce. A key challenge on research of MNPs lies in the scarcity of robust human exposure data and the narrow scope of existing studies on specific types of MNPs, leaving several environmentally prevalent plastic particles understudied. Addressing these gaps will require investigating the mechanisms of toxicity, relevant biomarkers, and disease pathways associated with MNP exposure. Such efforts will be essential to clarify human health risks and inform future regulatory and mitigation strategies.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 12","pages":"Article 101390"},"PeriodicalIF":21.6,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145800810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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