Communications medicine最新文献

{"title":"Agile local manufacturing of active pharmaceutical ingredients in Africa could improve health security and economic growth.","authors":"Cloudius Ray Sagandira","doi":"10.1038/s43856-025-01080-6","DOIUrl":"10.1038/s43856-025-01080-6","url":null,"abstract":"","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"358"},"PeriodicalIF":5.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12365005/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144884348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Challenges and standardisation strategies for sensor-based data collection for digital phenotyping.","authors":"Nadia Binte Alam, Mohsin Surani, Chayon Kumar Das, Domenico Giacco, Swaran P Singh, Sagar Jilka","doi":"10.1038/s43856-025-01013-3","DOIUrl":"10.1038/s43856-025-01013-3","url":null,"abstract":"<p><p>Sensor-based data collection of human behaviour (digital phenotyping) enables real-time monitoring of behavioural and physiological markers. This emerging approach offers immense potential to transform mental health research and care by identifying early signs of symptom exacerbation, supporting personalised interventions, and enhancing our understanding of daily lived experiences. However, despite its promise, technical and user-experience challenges limit its effectiveness. This Perspective critically examines these challenges and provides standardisation strategies, including universal protocols and cross-platform interoperability. We propose the development of universal frameworks, adoption of open-source APIs, enhanced cross-platform interoperability, and greater collaboration between academic researchers and industry stakeholders. We also highlight the need for culturally sensitive and user-centred designs to improve equity and engagement. By addressing these gaps, standardisation can enhance data reliability, promote scalability and maximise the potential of digital phenotyping in clinical and research mental health settings.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"360"},"PeriodicalIF":5.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12365157/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144884349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A deep learning model to predict glioma recurrence using integrated genomic and clinical data.","authors":"Jessica A Patricoski-Chavez, Seema Nagpal, Ritambhara Singh, Jeremy L Warner, Ece D Gamsiz Uzun","doi":"10.1038/s43856-025-01083-3","DOIUrl":"10.1038/s43856-025-01083-3","url":null,"abstract":"<p><strong>Background: </strong>Gliomas account for approximately 25.5% of all primary brain and central nervous system (CNS) tumors and 80.8% of malignant brain and CNS tumors. The prognosis varies considerably; patients with low-grade gliomas (LGGs) have 5-year survival rates of up to 80%, while patients with higher-grade gliomas (HGGs) often experience rates below 5%. Recurrence is a common challenge, occurring in 52% to 62% of patients with LGGs and 90% of patients with HGGs, complicating clinical management and treatment planning. Currently, no widely available models exist for reliably predicting early glioma recurrence, which is critical for optimizing patient outcomes. Machine learning (ML) and deep learning (DL) techniques have shown promise in predicting recurrence for various cancers, with those utilizing multimodal data sources showing increasing promise.</p><p><strong>Methods: </strong>We developed a DL-based predictive model with attention mechanisms, gLioma recUrreNce Attention-based classifieR (LUNAR), to predict early vs. late glioma recurrence using clinical, mutation, and mRNA-expression data from patients with primary grade II-IV gliomas from The Cancer Genome Atlas (TCGA) and, as an external validation set, the Glioma Longitudinal Analysis Consortium (GLASS).</p><p><strong>Results: </strong>Our model outperforms traditional ML models and non-attention counterparts, achieving area under the receiver operating characteristic curve (AUROC) of 82.84% and 82.54% on the TCGA and GLASS datasets, respectively.</p><p><strong>Conclusions: </strong>Our results demonstrate the potential of multimodal DL classifiers for predicting early glioma recurrence. By integrating clinical, mutational, and transcriptomic data from patients, LUNAR enables improved risk stratification. Its consistent performance across two independent datasets underscores its robustness.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"359"},"PeriodicalIF":5.4,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12365200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144884347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extreme weather and climate-related adverse childhood experiences are a humanitarian crisis during the 21st century.","authors":"Subash Thapa, Santosh Giri, Allen G Ross","doi":"10.1038/s43856-025-01089-x","DOIUrl":"10.1038/s43856-025-01089-x","url":null,"abstract":"<p><p>Extreme climate/weather events (ECEs) are potential sources of toxic stress for children, especially when they result in displacement, family separation, poverty, violence, or neglect. We define Environmentally driven Adverse Childhood Experiences (E-ACEs) as environmental stressors that can trigger trauma-related responses, amplify exposure to traditional ACEs, and increase the risk of long-term mental health problems. While direct neurobiological evidence on E-ACEs remains limited, research on traumatic and adverse childhood experiences (TRACEs) shows that early-life stress disrupts brain development, alters hypothalamic-pituitary-adrenal (HPA) axis regulation, and heightens vulnerability to mental illness. With the rising number of climate-displaced families and children, particularly in low- and middle-income countries (LMICs), ECEs pose an urgent humanitarian and public health challenge in the 21^st century. This perspective examines how repeated ECEs lead to childhood adversity and toxic stress, calling for climate-responsive mental health policies, strengthened family and community resilience, and trauma-informed approaches within disaster preparedness and response systems.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"357"},"PeriodicalIF":5.4,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Achieving inclusive healthcare through integrating education and research with AI and personalized curricula.","authors":"Amir Bahmani, Kexin Cha, Arash Alavi, Amit Dixit, Antony Ross, Ryan Park, Francesca Goncalves, Shirley Ma, Paul Saxman, Ramesh Nair, Ramin Akhavan-Sarraf, Xin Zhou, Meng Wang, Kévin Contrepois, Jennifer Li-Pook-Than, Emma Monte, David Jose Florez Rodriguez, Jaslene Lai, Mohan Babu, Abtin Tondar, Sophia Miryam Schüssler-Fiorenza Rose, Ilya Akbari, Xinyue Zhang, Kritika Yegnashankaran, Joseph Yracheta, Kali Dale, Alison Derbenwick Miller, Scott Edmiston, Eva M McGhee, Camille Nebeker, Joseph C Wu, Anshul Kundaje, Michael Snyder","doi":"10.1038/s43856-025-01034-y","DOIUrl":"10.1038/s43856-025-01034-y","url":null,"abstract":"<p><strong>Background: </strong>Precision medicine promises significant health benefits but faces challenges such as complex data management and analytics, interdisciplinary collaboration, and education of researchers, healthcare professionals, and participants. Addressing these needs requires the integration of computational experts, engineers, designers, and healthcare professionals to develop user-friendly systems and shared terminologies. The widespread adoption of large language models (LLMs) such as Generative Pretrained Transformer (GPT) and Claude highlights the importance of making complex data accessible to non-specialists.</p><p><strong>Methods: </strong>We evaluated the Stanford Data Ocean (SDO) precision medicine training program's learning outcomes, AI Tutor performance, and learner satisfaction by assessing self-rated competency on key learning objectives through pre- and post-learning surveys, along with formative and summative assessment completion rates. We also analyzed AI Tutor accuracy and learners' self-reported satisfaction, and post-program academic and career impacts. Additionally, we demonstrated the capabilities of the AI Data Visualization tool.</p><p><strong>Results: </strong>SDO demonstrates the ability to improve learning outcomes for learners from broad educational and socioeconomic backgrounds with the support of the AI Tutor. The AI Data Visualization tool enables learners to interpret multi-omics and wearable data and replicate research findings.</p><p><strong>Conclusions: </strong>SDO strives to mitigate challenges in precision medicine through a scalable, cloud-based platform that supports data management for various data types, advanced research, and personalized learning. SDO provides AI Tutors and AI-powered data visualization tools to enhance educational and research outcomes and make data analysis accessible to users from broad educational backgrounds. By extending engagement and cutting-edge research capabilities globally, SDO particularly benefits economically disadvantaged and historically marginalized communities, fostering interdisciplinary biomedical research and bridging the gap between education and practical application in the biomedical field.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"356"},"PeriodicalIF":5.4,"publicationDate":"2025-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12357942/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144862663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Haplo-stem cell transplant post liver transplantation to cure sickle cell disease with related liver dysfunction: a case series.","authors":"Ali D Alahmari, Saad Alghamdi, Reem Alasbali, Sara Hisham Samarkandi, Saleh A Alqahtani, Hadeel Samarkandi, Syed Osman Ahmed, Dieter Broering, Hazzaa Alzahrani, Adetola Kassim, Mahmoud Aljurf, Fahad Almohareb, Waleed Al-Hamoudi","doi":"10.1038/s43856-025-01040-0","DOIUrl":"10.1038/s43856-025-01040-0","url":null,"abstract":"<p><strong>Background: </strong>Sickle cell disease (SCD) is debilitating, with age-dependent complications such as stroke and liver disease, leading to significant morbidity and early mortality in young adults. Hematopoietic stem cell transplantation (HCT) is curative treatment for SCD, but transplantation-related risks often deter its use, especially in patients with severe comorbidities. A subset of severe SCD patients with significant end-organ dysfunction may benefit from a combined approach of HCT and solid organ transplantation (SOT).</p><p><strong>Methods: </strong>To the best of our knowledge, this report presents, for the first time, the utilization of dual orthotopic liver transplantation and haploidentical HCT (haplo-HCT) for severe SCD with advanced liver cirrhosis. Employing nonmyeloablative conditioning regimen and post-transplantation cyclophosphamide (PTCy).</p><p><strong>Results: </strong>Both patients undergo orthotopic liver transplantation followed by haplo-HCT from the same related donors, achieve stable allograft function, full donor engraftment, and successful immunosuppression withdrawal through immune tolerance induction.</p><p><strong>Conclusions: </strong>Dual haplo-HCT and living donor liver transplantation (LDLT) is feasible in eligible SCD patients with end-stage liver disease.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"354"},"PeriodicalIF":5.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12356966/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144859896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Celebrating four years of Communications Medicine.","authors":"","doi":"10.1038/s43856-025-01060-w","DOIUrl":"10.1038/s43856-025-01060-w","url":null,"abstract":"","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"355"},"PeriodicalIF":5.4,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12356854/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144859895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data from multi-national aging cohorts show dysregulated metabolic pathways in people with physio-cognitive decline.","authors":"Yi-Long Huang, Wei-Ju Chang, Chao-Hsiung Lin, Shu Zhang, Yukiko Nishita, Rei Otsuka, Wei-Ju Lee, Chih-Kuang Liang, Ming-Yueh Chou, Li-Ning Peng, Hidenori Arai, Luigi Ferrucci, Liang-Kung Chen","doi":"10.1038/s43856-025-01073-5","DOIUrl":"10.1038/s43856-025-01073-5","url":null,"abstract":"<p><strong>Background: </strong>Physio-cognitive decline (PCD) represents a dual impairment of mobility and cognitive function in aging populations, significantly increasing risks of disability, dementia, and mortality. Despite its clinical importance, the underlying biological mechanisms driving PCD remain poorly understood. This study aimed to identify metabolomic biomarkers and pathways associated with PCD to elucidate potential mechanistic insights.</p><p><strong>Methods: </strong>We conducted a comparative metabolomic analysis using serum samples from aging cohorts in Taiwan and Japan. A total of 197 pairs of participants were selected, comparing individuals in the top quintile (robust) versus bottom quintile (PCD) for both mobility and cognitive performance. Untargeted metabolomic profiling was performed to identify differential metabolites and dysregulated pathways.</p><p><strong>Results: </strong>Here, we show significant alterations in 606 differential metabolites and 17 metabolic pathways in PCD individuals compared to robust controls. Key dysregulated pathways include glutathione metabolism, tryptophan metabolism, urea cycle/amino group metabolism, and bile acid biosynthesis. Eleven metabolites are confirmed as potential biomarkers, including creatinine, pyroglutamic acid, melatonin, 3-hydroxykynurenine, 5-hydroxytryptophan, taurodeoxycholic acid, glycocholic acid and 7α-hydroxycholesterol.</p><p><strong>Conclusions: </strong>This study defines the comprehensive metabolomic signature of PCD, revealing disrupted metabolic pathways and identifying promising biomarker candidates for early detection and monitoring of physio-cognitive decline in aging populations.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"351"},"PeriodicalIF":5.4,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354693/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The genetic architecture of cervical length is shared with spontaneous preterm birth risk.","authors":"Hope M Wolf, Bradley T Webb, Jerome F Strauss, Adi L Tarca, Roberto Romero, Sonia S Hassan, Shawn J Latendresse, Tinnakorn Chaiworapongsa, Stanley Berry, Nardhy Gomez-Lopez, Piya Chaemsaithong, Timothy P York","doi":"10.1038/s43856-025-01078-0","DOIUrl":"10.1038/s43856-025-01078-0","url":null,"abstract":"<p><strong>Background: </strong>Sonographic cervical length is a powerful predictor of maternal risk for spontaneous preterm birth (sPTB). Twin and family studies have established a maternal genetic heritability for sPTB ranging from 13 to 20%, however, there is no corresponding estimate for the heritability of mid-trimester cervical length, or an understanding of how genetic factors contribute to cervical changes across pregnancy.</p><p><strong>Methods: </strong>This study was based on a prospective longitudinal cohort of (N = 5,160) Black/African American women who underwent serial sonographic examination of the uterine cervix during pregnancy and were genotyped via next-generation low-pass whole genome sequencing.</p><p><strong>Results: </strong>Bivariate genetic correlations estimated using genome-wide complex trait analysis (GCTA) indicated that a large proportion of the genes influencing cervical change across pregnancy also influenced gestational duration. SNP-level associations were observed near genes involved in the progesterone, estrogen, and insulin signaling pathways.</p><p><strong>Conclusions: </strong>These results suggest that a large proportion of genetic loci for preterm birth exert their influence through the process of cervical remodeling. Polygenic profiling of maternal genetic liability to cervical shortening could aid in the development of clinical risk assessment tools to identify high-risk women who may benefit from more frequent cervical length screening and earlier interventions to prevent preterm delivery.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"352"},"PeriodicalIF":5.4,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354721/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Proteomics-based aging clocks in midlife or late-life and their associated risk of dementia.","authors":"Sanaz Sedaghat, Saeun Park, Rob F Walker, Shuo Wang, Jialing Liu, Timothy M Hughes, Behnam Sabayan, Weihong Tang, Josef Coresh, James S Pankow, Keenan A Walker, Ramon Casanova, Ruth Dubin, Rajat Deo, Jerome I Rotter, Alexis C Wood, Peter Ganz, Pamela L Lutsey, Weihua Guan, Anna Prizment","doi":"10.1038/s43856-025-01096-y","DOIUrl":"10.1038/s43856-025-01096-y","url":null,"abstract":"<p><strong>Background: </strong>Biological age can be quantified by composite proteomic scores, called proteomics-based aging clocks (PACs). We investigated whether a discrepancy between chronological and biological age in midlife and late-life is associated with cognition and dementia risk.</p><p><strong>Methods: </strong>We used two longitudinal population-based studies: the Atherosclerosis Risk in Communities (ARIC) Study and the Multi-Ethnic Study of Atherosclerosis (MESA). PACs were created in ARIC at midlife (mean age: 58 years, 57% female, n = 11,758) and late-life (mean age: 77 years, 56% female, n = 4934) using elastic net regression models in two-thirds of dementia-free participants and validated in the remaining one-third of participants. Proteomics-based age acceleration (PAA) was calculated as residuals after regressing PACs on chronological age. We validated the midlife PAC in the MESA cohort (mean age: 62 years, 52% female, n = 5829). We used multivariable linear and Cox proportional hazards regression to assess the association of PAA with cognitive function and dementia incidence, respectively.</p><p><strong>Results: </strong>In ARIC, every five years, PAA is associated with lower global cognition: difference: -0.11, 95% confidence interval[CI]: -0.16, -0.06) using midlife PAA and difference: -0.17, CI: -0.23, -0.12 using late-life PAA. Midlife PAA is associated with higher dementia risk (hazard ratio[HR]: 1.20 [CI: 1.04, 1.36]) and more prominently when using late-life PAA (HR: 2.14 [CI:1.67, 2.73]). Similar findings are observed in MESA: PAA is associated with lower global cognitive function (difference: -0.08 [CI: -0.14, -0.03]) and higher dementia risk (HR:1.23 [CI: 1.04, 1.46]).</p><p><strong>Conclusions: </strong>Accelerated biological age is associated with lower cognition and a higher risk of dementia in midlife and more prominently in late life.</p>","PeriodicalId":72646,"journal":{"name":"Communications medicine","volume":"5 1","pages":"353"},"PeriodicalIF":5.4,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354813/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144857189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}