The intellectual foundations of this shift reach back nearly two decades. The term exposome was coined to mirror the genome: if genetics describes the internal blueprint of disease risk, the exposome describes everything external that acts upon it. As the review recounts, the concept matured through landmark papers in epidemiology, including Christopher Wild’s influential 2012 articulation of the exposome’s path from concept to utility, and later work framing the exposome as the science of social-to-biological transitions. What has changed most dramatically, the authors emphasize, is not the idea but the feasibility. A decade ago, measuring even a handful of environmental exposures across thousands of children seemed daunting. Today, large-scale cohorts, wearable sensors, satellite data, and high-throughput chemistry have made a genuinely comprehensive accounting possible, and recent analyses estimate that unhealthy environments remain a major contributor to the global burden of disease.

Why children, specifically? The review is emphatic that pediatric populations are not simply small adults. Development unfolds through a sequence of critical windows, extending from preconception through fetal life, infancy, and childhood, during which tissues and organ systems are exquisitely sensitive to external signals. The historical record offers sobering proof of how consequential these windows can be. The review highlights the tragic case of diethylstilbestrol, a synthetic estrogen prescribed to pregnant women in the mid-twentieth century, whose effects rippled into the second and even third generations of exposed families. Modern research on endocrine-disrupting chemicals suggests that such developmental sensitivity is not an anomaly but a general principle: hormones, brain architecture, immune programming, and metabolism are all calibrated by environmental inputs during precisely the periods when measurement has historically been weakest.

Measuring that totality demands an equally diverse toolkit, and the review provides a detailed inventory of the current state of the art. Questionnaires and surveys remain indispensable for capturing behaviors, diets, and housing conditions that no sensor can detect, though they carry well-known limitations in recall and precision. Biomarkers offer a complementary window: chemicals and their metabolites measured in urine, blood, hair, saliva, and even meconium can integrate exposure over hours, weeks, or months. Innovative sampling strategies are extending this reach to the youngest children, including methods that collect infant and toddler urine using cotton pads and disposable diapers, and microsampling approaches that reduce the burden of repeated blood collection. Hair analysis can reveal exposure to tobacco smoke and metals over extended periods, while archived dried blood spots and even deciduous teeth are emerging as time capsules of past exposure, allowing researchers to reconstruct the chemical history of a childhood long after it has passed.

Beyond the body, the review catalogs the technologies now monitoring the environments children actually inhabit. Low-cost personal sensors can track particulate matter in real time as children move through streets, classrooms, and homes, revealing exposure patterns that fixed monitoring stations inevitably miss. Silicone wristbands, worn like a watch, passively absorb hundreds of chemicals from the surrounding air, providing an integrative record of personal chemical exposure that has been validated against urinary biomarkers for compounds such as phthalates. House dust, tap water, and hand wipes serve as sentinels for indoor contamination by flame retardants, endocrine-disrupting compounds, and heavy metals. Geospatial indicators, derived from satellite imagery and administrative databases, add the dimension of place, linking addresses to traffic density, green space, noise, temperature, and neighborhood deprivation. Longitudinal personal monitoring studies have shown just how dynamic an individual’s chemical environment can be, fluctuating dramatically from day to day in ways that a single snapshot could never reveal.

The analytical challenge, once all these data streams exist, is formidable. Children are exposed not to single agents but to complex mixtures, in which chemicals interact with physical stressors like heat and noise, with built-environment features, and with social conditions such as poverty and family stress. The review describes the statistical machinery being developed to cope with this high-dimensional reality: methods for examining hundreds of exposures simultaneously, for identifying exposure clusters that travel together, for weighting mixtures to determine which components drive harm, and for pinpointing critical windows when an exposure matters most. Simulation studies and exposome data challenge events have systematically compared these approaches, establishing best practices for a field that is, in effect, inventing its own statistics. Causal inference remains the hardest problem of all, since environmental exposures correlate with each other and with socioeconomic circumstances in ways that can easily masquerade as causation.

Multi-omics integration is the review’s most forward-looking theme. By layering genomics, epigenomics, transcriptomics, metabolomics, and even microbiome data onto exposure measurements, researchers can trace the molecular pathways through which environment becomes biology. The European HELIX project, one of the pioneering exposome cohorts, demonstrated that early-life exposures leave detectable multi-omic signatures in children, and follow-up analyses have linked these signatures to biological age markers and developmental outcomes. Other findings from the exposome literature illustrate the power of this approach: prenatal mercury exposure has been associated with heightened susceptibility to liver inflammation in childhood, maternal exposures have been tied to shifts in the infant gut microbiome, and family affluence has been connected to cortisol production and telomere length, a cellular marker of biological aging. These are not isolated curiosities; together they sketch the mechanisms by which the social and chemical worlds of early life are inscribed into physiology.

The scale of the enterprise now underway is genuinely global. The review surveys major birth cohorts on several continents, including the ECHO Program in the United States, the Japan Environment and Children’s Study, the GUSTO cohort in Singapore, the PIPA project in Rio de Janeiro, and the Drakenstein Child Health Study in South Africa, alongside European initiatives such as HELIX, ATHLETE, Equal-Life, and ENDOMIX. Harmonization efforts like HBM4EU have aligned human biomonitoring across multiple countries, producing comparable data on chemical exposure in children, teenagers, and adults. This convergence matters because it allows patterns observed in one population to be tested in another, strengthening the inference that an association reflects a real biological relationship rather than a local confound. It also creates the data infrastructure needed for the next frontier: predictive models that could estimate an individual child’s exposure profile and risk trajectory.

Perhaps the most striking message of the review is its insistence that exposome science is no longer merely descriptive. Intervention studies are beginning to close the loop between measurement and prevention. Randomized trials have tested housing interventions to reduce endocrine-disrupting chemical exposures in children, perinatal environmental health education programs aimed at lowering exposure to harmful compounds, and low-plastic diets shown to reduce urinary levels of phthalates and bisphenols. Research into personal care products has identified practical levers for decreasing chemical exposure in everyday life. These studies transform the exposome from an academic mapping exercise into a source of actionable advice, demonstrating that when exposures are accurately measured, they can also be meaningfully reduced, often with simple changes available to families and clinicians.

The review closes with a call that gives the exposome a distinctly clinical face: pediatricians, it argues, should stand at the center of translating this science into practice. Because so many environmental determinants of health act during early development, the pediatric visit represents a unique point of intervention, and the authors envision exposome-informed consultations in which modifiable environmental, biological, and social risks are identified and addressed before they compound. The remaining challenges are real, including the cost and complexity of exposure assessment, the need for better causal methods, and the difficulty of communicating mixture risks to families and regulators. But the trajectory is unmistakable. What began as a provocative analogy to the genome has matured into a rigorous, data-rich discipline with cohorts spanning the globe, molecular tools capable of reading environment in the body, and early evidence that its insights can change outcomes. For a generation of children growing up amid unprecedented chemical, climatic, and social change, the exposome offers something medicine has long lacked: a complete map of the terrain on which their health will be built.

Subject of Research: Comprehensive exposome approaches for assessing environmental exposures and their health effects in children

Article Title: Assessing environmental exposures in children: toward a comprehensive exposome approach

Article References: Portefaix, A., & Maitre, L. (2026). Assessing environmental exposures in children: toward a comprehensive exposome approach. Pediatric Research. https://doi.org/10.1038/s41390-026-05460-z

Image Credits: AI Generated

DOI: 10.1038/s41390-026-05460-z

Keywords: exposome, children's health, environmental exposures, pediatric research, biomarkers, multi-omics, birth cohorts, endocrine-disrupting chemicals, air pollution, exposure assessment, public health, critical windows of development

Myopia, or near-sightedness, is a refractive error in which the eyeball grows too long relative to the focusing power of its optical system. When the axial length of the eye exceeds the distance at which the cornea and lens can bring light to a focus, distant images land in front of the retina instead of directly on it, blurring far vision while near vision remains sharp. The condition typically emerges in childhood, progresses through adolescence and often stabilises in early adulthood. Spectacles and contact lenses can correct the blurred vision, but they do nothing to reverse the underlying structural elongation of the eye, which is the true source of long-term risk.

That structural change matters because a longer eye is a more fragile eye. Excessive axial elongation stretches the retina and its supporting tissues, sharply raising the lifetime risk of cataract, open-angle glaucoma, myopic macular degeneration and retinal detachment. Each of these complications can cause irreversible vision loss, and their management places a heavy load on patients and health systems alike. Globally, the burden of vision impairment from uncorrected myopia was estimated at US$244 billion in 2015, a figure expected to climb as prevalence rises. Projections cited in the study suggest that 1.4 billion people were myopic in 2000 and that 4.8 billion, more than half of humanity, could be by 2050.

The new analysis was designed to fill a conspicuous gap. Most large-scale myopia epidemiology has focused on Asian populations, where prevalence in some urban settings reaches 80 to 90 percent among young adults. European data existed but were fragmented: earlier population-based studies reported prevalence ranging from 27 percent in the United Kingdom to 39 percent in France, and a recent meta-analysis of 14 European countries found estimates varying from 11.9 percent in Finland to 49.7 percent in Sweden. To cut through this heterogeneity, the E3 Consortium researchers used individual participant data rather than published summary statistics, harmonising refraction measurements across 28 studies collected between 1990 and 2024.

Methodologically, the team defined myopia as a spherical equivalent of refraction of -0.50 dioptres or worse, following International Myopia Institute criteria, and subdivided cases into low, moderate and high myopia. Participants born between 1900 and 2000 were grouped into birth decades, and pooled prevalence estimates for each decade were derived using random-effects meta-analysis with inverse variance weighting and restricted maximum likelihood estimation. People with artificial lenses or a history of refractive surgery were excluded, as were those with retinal detachment from the axial length analysis, since surgery can alter eye dimensions. Strata with fewer than 50 observations were dropped to keep estimates robust.

The headline result is stark: myopia prevalence more than tripled across twentieth-century birth cohorts, with the steepest acceleration occurring from the 1950s onward. Low myopia climbed from 12.5 percent in the 1900s cohort to 35.0 percent in the 1980s cohort, moderate myopia from 3.3 percent to 11.4 percent, and high myopia from 2.2 percent to 3.9 percent. When the decade-specific estimates were weighted according to the actual age structure of the European population, the standardised prevalence for 2024 came out at 42.7 percent, well above the consortium’s earlier estimate of 30.6 percent and approaching the widely cited global projection of 50 percent by mid-century.

Perhaps the study’s most important technical contribution is its demonstration that the generational rise is written into the physical dimensions of the eye itself. Analysing axial length data from 56,876 participants, the researchers found that every percentile of the distribution, from the 5th to the 95th, shifted longer across birth cohorts from the 1920s to the 1970s. Between the 1920s and 1970s cohorts, mean axial length increased by 0.49 millimetres at the 5th percentile and 1.05 millimetres at the 95th percentile in men, and by 0.37 and 0.67 millimetres respectively in women. This population-wide shift indicates not merely that more people cross the myopia threshold, but that eyes in general are getting bigger, including among people who would otherwise be long-sighted or only mildly myopic.

Some of that elongation could reflect simple growth: axial length correlates with body height, adding roughly 0.03 millimetres per centimetre of stature, and Europeans gained about one centimetre of height per decade over the last century. But that accounts for only 0.03 millimetres of axial growth per decade, whereas the observed increase at the median was 0.07 millimetres. The remainder points to environmental drivers, chief among them the modern lifestyle of prolonged near work, reading and screen use combined with limited time outdoors, patterns amplified by extended years in education. Intriguingly, the sex pattern also shifted: men born in the early twentieth century were slightly more myopic than women, but the trend reversed after the 1950s, a crossover the authors link to rising female participation in higher education and its associated near-work demands.

The authors are careful about the limits of their data. Between-study heterogeneity was substantial, with the I-squared statistic often exceeding 90 percent, meaning pooled figures should be read as averages across diverse settings rather than a single number applicable everywhere. Non-cycloplegic refraction can slightly overestimate myopia through residual accommodation, though recent work suggests the effect, around 0.31 dioptres in young adults, is unlikely to have changed classification across the broad severity categories. And because cohorts born after 2000 were excluded, the youngest generations, whose eyes may not yet have finished elongating, remain outside the analysis; an apparent dip in axial length in the most recent cohorts likely reflects incomplete growth rather than a genuine reversal.

Even with those caveats, the trajectory is unmistakable and the implications are serious. If prevalence continues to climb, Europe faces not only more spectacle prescriptions but a growing reservoir of high myopia and its attendant complications, threatening irreversible vision loss in working-age adults and straining ophthalmic services. The study’s authors argue that the evidence now justifies preventive strategies targeting modifiable environmental risk factors, particularly increasing time spent outdoors and reducing prolonged near work in children, alongside continued evaluation of clinical interventions designed to slow myopia progression. What was once an inconvenience corrected by a pair of glasses is, on current trends, becoming one of the century’s most consequential chronic eye diseases, and the generations now in school will determine just how heavy that burden becomes.

Subject of Research: Temporal trends in myopia prevalence and axial length across European birth cohorts

Article Title: The growing burden of myopia in Europe: evidence from population-based cohorts

Article References: Tiemens, A., van Hemert, D. J., Lemma, S. T., Quist, S. W., Shi – van Wielink, K., Agius, D., Arnould, L., Berendschot, T. T. J. M., Beuse, A., Bikbov, M. M., Birtel, J., Bountziouka, V., Breteler, M. M. B., Carbonaro, F., Chakravarthy, U., Coimbra, R., de Vries, V. A., Delcourt, C., Farinha, C., … Lotery, A. J. (2026). The growing burden of myopia in Europe: evidence from population-based cohorts. European Journal of Epidemiology. https://doi.org/10.1007/s10654-026-01435-w

Image Credits: AI Generated

DOI: 10.1007/s10654-026-01435-w

Keywords: myopia, axial length, refractive error, epidemiology, birth cohorts, E3 Consortium, Europe, public health, high myopia, vision impairment, meta-analysis, eye health

The research, led by Tongtiegang Zhao and Shoutang Xiong of Sun Yat-sen University together with Bingyao Zhang and Yu Li of Dalian University of Technology, addresses a blind spot in how climate impacts have traditionally been measured. Most studies of extreme heat examine how heatwave frequency, duration, or intensity changes over fixed periods, such as a few decades of climate model output. That approach is useful for planners and meteorologists, but it obscures a crucial human dimension: people do not experience climate change as a fixed window of time. They experience it across the full arc of their lives, from childhood summers to old age. A person born in 2020 will live through the hottest decades of the century, while someone born in 1990 will spend a substantial portion of their life in a comparatively cooler climate regime.

To capture this lifecycle dimension, the team combined climate projections from the Inter-Sectoral Impact Model Intercomparison Project, known as ISIMIP, with demographic and socioeconomic data covering China. ISIMIP provides standardized climate impact simulations across multiple models and emission scenarios, allowing researchers to project how often heatwaves will strike different parts of the country under different assumptions about future greenhouse gas emissions. By overlaying these projections with birth cohort data, the researchers could estimate the cumulative number of heatwave events that a person born in a given year and region would be expected to experience over their expected lifetime. This cumulative framing transforms heatwave risk from an abstract statistical probability into something closer to a personal biography of climate exposure.

The numbers that emerge are striking. Under the high-emission scenario known as RCP8.5, in which greenhouse gas emissions continue to rise strongly through the century, the annual probability of heatwave occurrence in China is projected to climb from 4.95 percent to 78.84 percent by 2099. In other words, in a world of unchecked emissions, what is today a rare and exceptional event would become an almost annual certainty for much of the Chinese population. Because younger cohorts will spend more of their lives in this intensified climate, their cumulative exposure rises dramatically. The study found that the median lifetime cumulative heatwave exposure of the 2020 birth cohort is about four times that of the 1990 cohort, a gap that widens further under high-emission pathways.

This generational asymmetry carries implications that extend well beyond China’s borders. The logic of lifetime exposure applies anywhere that warming is projected to accelerate over the coming decades: children born today, in China or elsewhere, will inhabit a climate that is progressively hotter for longer stretches of their lives than the climate their parents knew. The finding gives quantitative weight to arguments that climate policy is fundamentally a matter of intergenerational fairness. Emission choices made in the 2020s and 2030s will determine whether today’s children face a future in which extreme heat is a recurring hazard or a manageable exception, and the study demonstrates that these choices are effectively decisions about the lifetime health and safety of people who cannot yet vote.

Yet the study’s second major finding concerns geography rather than chronology. Climate change is widening inequalities not only between generations but also between regions, and the researchers found a pronounced spatial pattern across China. Warming is projected to be stronger in western China, meaning that region is likely to see larger increases in lifetime heatwave exposure than the more temperate east. At the same time, many of the areas facing the greatest heat hazards have lower levels of economic development, which translates into limited adaptive capacity: fewer resources for air conditioning, cooling centers, resilient infrastructure, healthcare systems, and early warning networks. The result is a stark mismatch between where the heat hazard is growing fastest and where society is best equipped to cope with it.

This mismatch between hazard and vulnerability is one of the most consequential ideas in modern climate risk research, and the study gives it a concrete, quantified form. A region’s danger from heatwaves is not determined by temperature alone. It is the product of exposure, how often and how intensely heat strikes, and vulnerability, how well the population can protect itself. When a rapidly intensifying hazard coincides with limited economic capacity to adapt, the resulting risk can grow far faster than the hazard itself. The study’s regional analysis suggests that without targeted intervention, the parts of China least able to afford adaptation will bear the heaviest cumulative burdens, compounding existing socioeconomic disparities through the mechanism of climate.

Methodologically, the work represents a shift in how climate impact assessments can be framed. By extending the unit of analysis from individual heatwave events or fixed time periods to lifetime cumulative exposure, the researchers effectively converted a climate science question into a demographic one. The approach requires integrating climate model ensembles with life tables and regional socioeconomic indicators, and it produces outputs that are directly meaningful for policy: not the probability of a heatwave in a given year, but the total burden of heat a generation will carry. This kind of metric could prove valuable well beyond heatwave research, potentially informing how scientists assess lifetime exposure to droughts, floods, air pollution, and other slow-accumulating environmental hazards.

The authors argue that their findings provide a basis for designing targeted adaptation strategies, and the study points toward two distinct policy levers. The first is mitigation: because lifetime exposure differs so dramatically between emission scenarios, reducing greenhouse gas emissions is the most direct way to shrink the burden that younger generations will carry. The second is adaptation, which must be deliberately targeted at the regions and populations identified as most vulnerable. The study suggests that both climate exposure and socioeconomic vulnerability need to be considered together when developing adaptation plans, rather than treating heat risk as a purely meteorological problem. Investments in cooling infrastructure, public health preparedness, and economic development in the most exposed regions could substantially narrow the gap between hazard and resilience.

As the world weighs its remaining carbon budget, this study offers a sobering accounting of what is at stake, measured not in degrees Celsius or model ensembles but in the accumulated summers of human lives. The generation born in 2020 will grow old in a climate whose trajectory is being decided now, and the regions with the fewest resources to adapt will feel the sharpest edge of that decision. By making the intergenerational and regional dimensions of heat risk explicit and quantifiable, the research transforms an abstract ethical debate into an empirical one, and it suggests that the fairest climate policies will be those that look simultaneously across time, protecting the cohorts still to come, and across space, reaching the places least able to protect themselves.

Subject of Research: Lifetime heatwave exposure across birth cohorts and regions in China under climate change

Article Title: A lifecycle perspective reveals that younger generations and socioeconomically vulnerable regions face disproportionate heatwave exposure under climate change

Article References: A lifecycle perspective reveals that younger generations and socioeconomically vulnerable regions face disproportionate heatwave exposure under climate change. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: heatwaves, climate change, birth cohorts, lifetime exposure, China, ISIMIP, RCP8.5, intergenerational equity, adaptive capacity, socioeconomic vulnerability, climate adaptation, Science China Earth Sciences

The human plasma proteome, the full collection of proteins measurable in the liquid portion of blood, sits at the intersection of genetics, metabolism and environment. Unlike DNA, which is essentially fixed from conception, the proteome responds dynamically to physiological states such as inflammation, insulin resistance, adipose tissue expansion and liver stress. Because many circulating proteins are secreted by adipose tissue or the liver and participate in cardiometabolic signaling, shifts in the plasma proteome are strong candidates for mediating the long-term consequences of childhood adiposity. Yet most previous studies captured only a single snapshot, typically in adulthood, leaving open the question of when in development these proteomic alterations first emerge and whether they are truly driven by fat mass or merely co-occur with it.

To address this, the research team analyzed plasma protein measurements at four timepoints across life, spanning childhood, adolescence and adulthood. Rather than relying on a single cohort or a single platform, the investigators combined multiple population-based birth cohorts in which participants had been followed from early life into adulthood, with blood samples collected, stored and later profiled using high-throughput affinity-based proteomic assays. These platforms, which measure thousands of unique proteins simultaneously using proximity extension assays or similar antibody-based technologies, allowed the researchers to quantify thousands of plasma proteins in the same individuals or closely matched cohorts at each life stage.

The central exposure was childhood adiposity, assessed through body mass index and other anthropometric indicators recorded during childhood and adolescence. The team then asked two complementary questions. First, is childhood adiposity associated with differences in plasma protein levels at the same timepoint, and does that association grow stronger as children age? Second, and more critically, does higher adiposity in childhood predict protein differences measured decades later, well after the original exposure, suggesting a durable biological imprint rather than a fleeting correlation?

The findings were striking. Higher childhood adiposity was associated with substantial proteomic differences detectable as early as childhood and adolescence, encompassing proteins involved in inflammation, leptin signaling, insulin action, extracellular matrix remodeling and lipoprotein metabolism. Among the most consistently affected proteins were well-established markers of cardiometabolic risk, including leptin, which scales tightly with fat mass, and inflammatory signaling molecules whose circulating levels are known to predict future cardiovascular events. The magnitude of these associations increased with age at measurement, indicating that the proteomic signature of excess adiposity intensifies as the metabolic consequences of obesity accumulate over time.

Importantly, many of the protein associations observed in childhood persisted into adulthood even after adjustment for adult body mass index. This persistence is a critical observation, because it suggests that childhood adiposity does more than simply track into adult overweight; it appears to leave a measurable molecular imprint on the circulating protein repertoire that is not fully explained by adult adiposity alone. In other words, a child who experienced excess body fat may carry a distinct proteomic profile decades later, even if they achieve a normal adult weight, pointing toward potential early-life biological embedding of cardiometabolic risk.

Associations alone cannot establish causation, and the researchers were careful to confront this limitation directly. Children with higher adiposity differ from their peers in diet, physical activity, socioeconomic circumstances and genetic liability, any of which could independently shape the proteome. To disentangle these possibilities, the study employed Mendelian randomization, a genetic epidemiological technique that uses naturally occurring genetic variants associated with adiposity as instrumental variables. Because genetic variants are randomly allocated at conception, they are largely immune to the confounding that plagues observational associations. When the team used genetic instruments for childhood body mass index to predict protein levels, they found that genetically influenced adiposity in childhood was linked to differences in many of the same proteins identified in the observational analyses, providing evidence consistent with a causal contribution of childhood fat mass to the plasma proteome.

The genetic analyses also illuminated which life stage matters most. By comparing the effects of genetic instruments for childhood adiposity with instruments for adult adiposity, the researchers could ask whether adult fat mass explains the protein associations or whether childhood-specific effects remain. For a subset of proteins, the childhood signal was independent of, and in some cases stronger than, the adult adiposity signal, supporting the idea that developmental windows exist during which excess adiposity exerts distinctive effects on circulating biology. This finding resonates with a broader literature showing that the timing of adiposity gain influences later disease risk more than body size at any single moment.

The study’s four-timepoint design also revealed trajectories. Some proteins showed associations that emerged in adolescence and strengthened through adulthood, consistent with cumulative metabolic injury. Others showed transient associations that attenuated with age, suggesting reversible responses to fat mass. A third group displayed persistent effects detectable decades after childhood, which the authors interpret as candidate mediators of the long-term disease burden attributable to early-life obesity. Proteins tied to inflammatory pathways, hepatic function and vascular biology featured prominently across these trajectories, aligning with the clinical observation that childhood obesity elevates risks of atherosclerosis, hypertension and metabolic liver disease well into midlife.

Technical rigor was a defining feature of the work. The investigators applied extensive quality control to the proteomic assays, adjusted for technical covariates such as batch effects and sample handling, and replicated key findings across independent cohorts and measurement platforms. Sensitivity analyses tested whether reverse causation, residual confounding or sample attrition could account for the results, and the consistency of protein associations across cohorts strengthened confidence in their robustness. The authors also acknowledged limitations, including the predominance of European-ancestry populations in available genetic reference data, the incomplete coverage of the proteome by current affinity-based platforms, and the possibility that some genetic instruments reflect correlated traits rather than adiposity itself.

The implications extend beyond observational epidemiology. Identifying which proteins are causally reshaped by childhood adiposity provides a starting point for understanding how early-life obesity is translated, at the molecular level, into adult disease. If specific circulating proteins prove to be genuine mediators, they could serve as early-warning biomarkers, allowing clinicians to identify children at elevated long-term risk before irreversible end-organ damage occurs. They could also expose therapeutic targets: drugs or interventions that normalize the proteomic consequences of excess adiposity during development might, in principle, interrupt the pathway from childhood obesity to adult cardiometabolic disease.

The work also contributes to an ongoing scientific debate about whether adult weight gain matters more or less than weight gained in childhood. Public health strategies have often focused on adult obesity, but accumulating evidence, including this proteomic analysis, suggests that adiposity during growth periods has biological consequences that are not simply undone by later weight normalization. The persistence of protein differences after accounting for adult body mass index argues for prevention efforts that begin in childhood, a message with significant relevance as childhood obesity rates continue to rise globally.

From a methodological standpoint, the study exemplifies a growing trend in life-course epidemiology: combining longitudinal cohorts, multiplexed proteomics and genetic causal inference to move from correlation toward mechanism. As proteomic platforms become cheaper and more comprehensive, and as large-scale genetic reference datasets expand across diverse ancestries, similar designs will be applied to other exposures, from early-life nutrition to environmental pollutants. The present findings establish childhood adiposity as a developmental exposure with quantifiable, durable and partly causal effects on the human plasma proteome, offering a molecular narrative for a clinical relationship that physicians have recognized for decades but could not previously explain at the protein level.

For researchers, the catalog of proteins altered by childhood adiposity represents a resource for mechanistic follow-up, including studies of adipose tissue biology, hepatic metabolism and vascular inflammation. For clinicians and policymakers, the results reinforce the urgency of early intervention. And for the thousands of cohort participants whose blood samples, collected decades ago in childhood, made the analysis possible, the work demonstrates the extraordinary scientific value of long-term longitudinal research in unraveling how the earliest chapters of biological life shape its later ones.

Subject of Research: Effects of childhood adiposity on the human plasma proteome across four lifecourse timepoints

Article Title: Evaluating the consequences of childhood adiposity on the human plasma proteome at four timepoints across the lifecourse

Article References: Dickson, P., Power, G. M., Niu, L., Holm, J.-C., Hansen, T., Turner, R. M., Gaunt, T. R., Davey Smith, G., & Richardson, T. G. (2026). Evaluating the consequences of childhood adiposity on the human plasma proteome at four timepoints across the lifecourse. Nature Communications. https://doi.org/10.1038/s41467-026-77097-9

Image Credits: AI Generated

DOI: 10.1038/s41467-026-77097-9

Keywords: childhood adiposity, plasma proteome, proteomics, Mendelian randomization, lifecourse epidemiology, obesity, cardiometabolic risk, inflammation, leptin, birth cohorts, protein biomarkers, Nature Communications

H. pylori is a formidable public health adversary. More than 40 percent of adults worldwide carry it, and infection, typically acquired in childhood, generally persists for life unless deliberately eradicated. Most carriers never develop symptoms, so few seek testing or treatment, allowing a vast silent reservoir of chronic infection to accumulate. The International Agency for Research on Cancer estimates that roughly 850,000 cancer cases worldwide in 2020 were attributable to the bacterium, more than from any other cancer-causing infection, including human papillomavirus and the hepatitis B and C viruses. China, which accounts for about 35 percent of global gastric cancer cases, sits at the epicentre of this burden.

Earlier meta-analyses had reported that H. pylori prevalence in China fell from roughly 55 to 60 percent in 1990 to around 40 to 45 percent by 2020, fuelling optimism that the epidemic was receding on its own. The new study, led by Dianqin Sun of Erasmus MC in collaboration with researchers in the United States, Mexico, and the International Agency for Research on Cancer, argues that this optimism rested on shaky statistical ground. Previous pooled estimates ignored the age structure of the populations being surveyed, conflated distinct measures of infection, and failed to correct for the imperfect accuracy of diagnostic tests, biases that can make prevalence appear to fall faster than it truly does.

The team assembled an unusually deep evidence base. From six published meta-analyses and an updated search of PubMed, Embase, and Chinese databases, 741 original studies were initially identified; after rigorous screening for general-population relevance, adequate reporting, and acceptable detection methods, 180 unique studies covering 1983 to 2023 and all 31 provinces of mainland China qualified for meta-analysis, contributing 805 records of current infection or seroprevalence. One additional study measuring ever-infection was reserved for the transmission model, and a large nationwide survey was held back entirely as an independent validation target.

Crucially, the researchers recognised that the three main ways of measuring H. pylori are not interchangeable. Current-infection tests detect active bacteria, serology detects antibodies that can linger long after the infection has cleared or been treated, and ever-infection measures capture both. Pooling them together, as earlier reviews did, distorts trends. The team also applied the Rogan-Gladen correction to adjust each study’s observed prevalence for the sensitivity and specificity of the diagnostic test used, then pooled estimates separately by age, calendar period, and birth cohort using random-effects models on the logit scale.

The centrepiece of the analysis is a Bayesian catalytic model, a class of transmission model that infers the rate at which susceptible individuals acquire infection, known as the force of infection, from age-specific prevalence data. Individuals in the model begin uninfected, may become infected, and after treatment can clear the bacterium while remaining seropositive before eventually seroreverting. The model incorporated cohort-specific limits on lifetime infection risk, period-varying treatment rates, a constant rate of antibody waning, and diagnostic misclassification, and was fitted to the record-level data with Hamiltonian Monte Carlo. Four competing model structures were compared using leave-one-out cross-validation, and the selected model reproduced observed prevalence closely and passed external validation against the nationwide survey.

The model’s estimates tell a striking generational story. For the 1920 birth cohort, the annual force of infection was 3.21 percent at age 10; for the 2000 cohort it was just 1.72 percent at the same age, and childhood infection rates in recent cohorts now resemble those seen among young adults born in the 1910s. A clear inflection appears after the 1980 birth cohort, which the authors link to the sweeping improvements in water supply, sanitation, housing, and household hygiene that followed China’s reform and opening-up policy from 1978. Modernisation, in other words, reshaped transmission dynamics well before any medical intervention reached scale.

Yet the population-level picture is far less encouraging. Overall prevalence declined only modestly, from 43.1 percent in 1990 to 36.3 percent in 2023, and much of that apparent decline disappears once the ageing of the population is accounted for; age-standardised prevalence fell further than crude prevalence, indicating that demographic ageing has propped up the raw numbers. Because gastric cancer and peptic ulcer disease strike predominantly at older ages, the children who escaped infection have not yet reached the ages where disease risk peaks, while large, heavily infected cohorts continue to age into the danger zone. The population attributable fractions in 2023 remained 70.1 percent for non-cardia gastric cancer and 49.4 percent for cardia gastric cancer, using China-specific relative risks from the China Kadoorie Biobank and a ten-year latency window for cancer and a five-year window for ulcers.

The authors are careful about the limits of their estimates. Subtype-specific incidence data were unavailable, so they modelled bounding scenarios for the mix of cardia and non-cardia tumours and for duodenal versus gastric ulcers; the gastric ulcer attributable burden remained statistically compatible with zero. They also note that the synergy between H. pylori and nonsteroidal anti-inflammatory drugs was not modelled, which may underestimate the ulcer burden, and that substantial regional variation across China is masked by the national averages. Sensitivity analyses using alternative model structures produced similar attributable burden estimates, reinforcing the central conclusion.

The policy implications are pointed. The eradication benefits of treating H. pylori are well established, and guidelines from the World Health Organization, the Taipei Global Consensus, and Chinese expert bodies increasingly endorse organised screen-and-treat programmes and family-based approaches, which China’s expert consensus recommends but no national policy yet implements. Comparable efforts are advancing elsewhere: South Korea is trialling population screening within its national cancer programme, Japan reimburses eradication therapy for H. pylori gastritis, and the European Council has urged high-burden member states to consider screening. The study’s age- and cohort-specific estimates provide the quantitative foundation such programmes need, identifying which cohorts carry the heaviest infection load, how many people would be eligible for treatment, and what costs and antibiotic-use concerns each strategy would entail. The modelling framework, the authors add, is transferable to other high-burden countries undergoing similar epidemiological transitions, particularly in East and Southeast Asia, where declining childhood infection coexists with large infected adult cohorts moving into the gastric cancer risk window. Without active intervention, the analysis warns, China’s H. pylori-attributable disease burden is unlikely to decline rapidly for decades.

Subject of Research: Trends in Helicobacter pylori prevalence, force of infection, and attributable gastric cancer and peptic ulcer disease burden in China from 1990 to 2023

Article Title: Trends in Helicobacter pylori prevalence, force of infection, and attributable disease burden in China: a systematic review and Bayesian modelling study

Article References: Sun, D., Han, W., Alarid-Escudero, F., Roa-Contreras, J. A., Wang, S., Mülder, D. T., Huang, R. J., Ladabaum, U., Spaander, M. C., Camargo, M. C., Park, J. Y., Chen, W., Lansdorp-Vogelaar, I., & Hontelez, J. A. (2026). Trends in Helicobacter pylori prevalence, force of infection, and attributable disease burden in China: a systematic review and Bayesian modelling study. The Lancet Regional Health – Western Pacific, 74, Article 101979. https://doi.org/10.1016/j.lanwpc.2026.101979

Image Credits: AI Generated

DOI: 10.1016/j.lanwpc.2026.101979

Keywords: Helicobacter pylori, gastric cancer, peptic ulcer disease, Bayesian modelling, force of infection, systematic review, China, epidemiology, screen-and-treat, birth cohorts, population attributable fraction, public health