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| Open AccessUtility of polygenic scores across diverse diseases in a hospital cohort for predictive modeling
Here, the authors analyze polygenic scores for 457 phenotypes, finding 49 with robust polygenic score predictive models ( > 0.6 AUC). They find that population diversity and environmental factor integration are key considerations to improving the model’s performance.
- Ting-Hsuan Sun
- , Chia-Chun Wang
- & Kai-Cheng Hsu
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Article
| Open AccessEnhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights
Predicting recurrence risk in non small cell lung cancer can help to guide treatment decisions. Here, the authors use CT and PET imaging to develop predictive imaging subtypes, which can be integrated with existing ctDNA methods to predict recurrence.
- Sheeba J. Sujit
- , Muhammad Aminu
- & Jia Wu
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Article
| Open AccessSARS-CoV-2-specific cellular and humoral immunity after bivalent BA.4/5 COVID-19-vaccination in previously infected and non-infected individuals
Prior infection or exposure to SARS-CoV-2 may influence immunogenicity and effectiveness of subsequent vaccination to new strains of virus. Here the authors show that immunogenicity of a BA.4/5 mRNA vaccine differed in recipients depending on whether they had been exposed to or infected with an earlier strain of virus.
- Rebecca Urschel
- , Saskia Bronder
- & Martina Sester
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Article
| Open AccessIntegration of pathologic characteristics, genetic risk and lifestyle exposure for colorectal cancer survival assessment
Risk prediction for prognosis in colorectal cancer is an important tool. Here, the authors utilise GWAS from 5 cohorts of colorectal cancer patients, and show a healthy lifestyle is associated with a 7.6% improvement in overall survival among patients with high pathologic and genetic risk.
- Junyi Xin
- , Dongying Gu
- & Meilin Wang
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Article
| Open AccessImmunoregulatory role of the gut microbiota in inflammatory depression
Inflammatory depression is a treatment-resistant subtype of depression. Here, the authors show that patients with inflammatory depression exhibit a disrupted microbiota, which upon FMT in mice leads to increased peripheral and central inflammatory factors, intestinal mucosal permeability, and depressive and anxiety-like behaviors. Probiotic administration ameliorates the disease phenotype.
- Penghong Liu
- , Zhifen Liu
- & Kerang Zhang
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Article
| Open AccessPlasma brain-derived tau is an amyloid-associated neurodegeneration biomarker in Alzheimer’s disease
The authors investigated associations of brain-derived-tau (BD-tau) with Aβ pathology, changes in cognition and MRI signatures. Staging Aβ-pathology according to neurodegeneration, using BD-tau, identifies individuals at risk of near-term cognitive decline and atrophy.
- Fernando Gonzalez-Ortiz
- , Bjørn-Eivind Kirsebom
- & Kaj Blennow
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Article
| Open AccessIn-depth correlation analysis between tear glucose and blood glucose using a wireless smart contact lens
The correlation between tear glucose and blood glucose is still controversial. Here, the authors demonstrated the correlation between tear glucose and blood glucose in both animal models and human subjects using smart contact lenses.
- Wonjung Park
- , Hunkyu Seo
- & Jang-Ung Park
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Article
| Open AccessThe CHK1 inhibitor prexasertib in BRCA wild-type platinum-resistant recurrent high-grade serous ovarian carcinoma: a phase 2 trial
ATR/CHK1 pathway inhibitors represent a therapeutic option for platinum-resistant high-grade serous ovarian carcinoma (HGSOC). Here the authors report the results of a phase 2 clinical study of the CHK1 inhibitor prexasertib in patients with BRCA wild-type platinum-resistant HGSOC with or without biopsiable disease.
- Elena Giudice
- , Tzu-Ting Huang
- & Jung-Min Lee
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Article
| Open AccessPredicting mortality from AI cardiac volumes mass and coronary calcium on chest computed tomography
Chest computed tomography (CT) is one of the most common diagnostic tests. Here, the authors combine two AI models to measure from CT coronary artery calcium, left ventricular mass index, and left and right atrial and ventricular volumes, and show their association with cardiovascular mortality.
- Robert J. H. Miller
- , Aditya Killekar
- & Piotr J. Slomka
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Article
| Open AccessS100A8/A9 as a prognostic biomarker with causal effects for post-acute myocardial infarction heart failure
Heart failure is the most prevalent complication of acute myocardial infarction. Here, the authors show that circulating S100A8/A9 is a robust predictor and potentially causal medicator for heart failure post-acute myocardial infarction, as such could serve as a promising drug target for cardioprotection.
- Jie Ma
- , Yang Li
- & Yulin Li
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Article
| Open AccessPlasma p-tau212 antemortem diagnostic performance and prediction of autopsy verification of Alzheimer’s disease neuropathology
A range of blood-based biomarkers have shown high specificity for Alzheimer’s disease (AD) pathophysiology with phosphorylated-tau (p-tau) being the most promising test. Here, the authors show the utility of plasma p-tau212 in autopsy-confirmed AD and memory clinic patient cohorts.
- Przemysław R. Kac
- , Fernando González-Ortiz
- & Thomas K. Karikari
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Article
| Open AccessThe genetic architecture of multimodal human brain age
The biological basis of brain aging is not well understood, but it has implications for human health. Here, the authors explore the genetic basis of human brain aging, finding genetic variants, genes and potential causal relationships with disease.
- Junhao Wen
- , Bingxin Zhao
- & Christos Davatzikos
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Article
| Open AccessArtificial intelligence-enabled prediction of chemotherapy-induced cardiotoxicity from baseline electrocardiograms
Anthracyclines can induce cancer therapy-related cardiac dysfunction (CTRCD), of which occurrence remains unpredictable. Here, the authors develop an artificial intelligence model to robustly predict CTRCD from a single recording of 12-lead electrocardiogram taken before the initiation of chemotherapy in cancer patients treated with anthracyclines.
- Ryuichiro Yagi
- , Shinichi Goto
- & Rahul C. Deo
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Article
| Open AccessSpatial relationships in the urothelial and head and neck tumor microenvironment predict response to combination immune checkpoint inhibitors
Spatial positioning of cells within the tumour microenvironment may have a function in the success of immune checkpoint immunotherapy (ICI). Here the authors analyse spatial relationships from immunohistochemistry samples prior to ICI therapy and show that CD8 T cell or macrophage proximity to cancer cells is associated with better responses.
- Alberto Gil-Jimenez
- , Nick van Dijk
- & Lodewyk F. A. Wessels
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Article
| Open AccessNMR and MS reveal characteristic metabolome atlas and optimize esophageal squamous cell carcinoma early detection
Metabolic changes often occur during the early stages of cancer development. Here, the authors develop metabolomics signatures from tissues, pre- and post-operative sera and urines in esophageal squamous cell carcinoma, which may aid in early diagnosis.
- Yan Zhao
- , Changchun Ma
- & Yan Lin
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Article
| Open AccessElevated blood remnant cholesterol and triglycerides are causally related to the risks of cardiometabolic multimorbidity
Dysmetabolism of triglyceride-rich lipoproteins is considered a shared risk factor for cardiometabolic diseases, but their associations with cardiometabolic multimorbidity have not been fully understood. Here, the authors show that elevated levels of remnant cholesterol and triglycerides were observationally and genetically associated with a higher risk of cardiometabolic multimorbidity.
- Yimin Zhao
- , Zhenhuang Zhuang
- & Tao Huang
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Article
| Open AccessPopulation-wide cerebellar growth models of children and adolescents
The development of the human cerebellum is not well understood. Here, the authors analyse a large sample of neuroimaging scans from children and adolescents to develop growth models of the cerebellum which mirror age-related developmental trajectories of behaviour and function.
- Carolin Gaiser
- , Rick van der Vliet
- & Ryan L. Muetzel
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Article
| Open AccessThermophoretic glycan profiling of extracellular vesicles for triple-negative breast cancer management
Triple-negative breast cancer (TNBC) lacks precise diagnostic and monitoring methods due to limited biomarkers. Here the authors develop a lectin-based thermophoretic assay (EVLET) that combines vibrating membrane filtration and thermophoretic amplification for efficient extracellular vesicle (EV) glycan profiling in the plasma of TNBC patients, enabling non-invasive cancer management by leveraging EV glycans.
- Yike Li
- , Shaohua Zhang
- & Jiashu Sun
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Article
| Open AccessA blood-based biomarker workflow for optimal tau-PET referral in memory clinic settings
A screening strategy with plasma p-tau217, evaluated in two independent cohorts from Sweden and Canada, showed that this biomarker may effectively streamline tau-PET referrals in memory clinic settings, optimizing the prognostic work-up of Alzheimer’s disease.
- Wagner S. Brum
- , Nicholas C. Cullen
- & Oskar Hansson
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Article
| Open AccessCell type signatures in cell-free DNA fragmentation profiles reveal disease biology
Deconvolution of cfDNA fragmentation benefits from cell type-specific reference data. Here, the authors create a disease agnostic cfDNA cell type of origin analysis and show it can successfully predict cell types of origin from plasma samples.
- Kate E. Stanley
- , Tatjana Jatsenko
- & Joris Robert Vermeesch
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Article
| Open AccessNumerosity estimation of virtual humans as a digital-robotic marker for hallucinations in Parkinson’s disease
Virtual reality, robotics and digital online technologies reveal heightened visual overestimation when estimating the number of humans, indexing presence hallucinations in healthy participants and patients with Parkinson’s disease.
- Louis Albert
- , Jevita Potheegadoo
- & Olaf Blanke
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Article
| Open AccessFrequency, kinetics and determinants of viable SARS-CoV-2 in bioaerosols from ambulatory COVID-19 patients infected with the Beta, Delta or Omicron variants
SARS-CoV-2 can be spread by aerosols. Here the authors show that between 50-60% of ambulatory COVID-19 patients exhale culturable virus and that this is associated with lower neutralizing antibody titers and suppression of immune related transcriptomic pathways.
- S. Jaumdally
- , M. Tomasicchio
- & K. Dheda
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Perspective
| Open AccessThe long and winding road of reprogramming-induced rejuvenation
Rejuvenation and partial reprogramming are two frontier areas in the field of aging. Here, the authors summarize advances in these fields and suggest future directions for research and therapy.
- Ali Doğa Yücel
- & Vadim N. Gladyshev
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Article
| Open AccessLong-term monitoring of ultratrace nucleic acids using tetrahedral nanostructure-based NgAgo on wearable microneedles
Monitoring of biomarkers with wearable devices holds potential for personal health management. Here the authors demonstrate a wearable device based on tetrahedral DNA nanostructures and prokaryotic argonaute to monitor real-time sepsis-associated nucleic acid
- Bin Yang
- , Haonan Wang
- & Xueen Fang
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Article
| Open AccessPrediction of plasma ctDNA fraction and prognostic implications of liquid biopsy in advanced prostate cancer
Metastatic castration-resistant prostate cancer is a highly aggressive disease, with a variable response to treatment. Here, the authors validate ctDNA fraction as a poor prognostic factor and develop a model to predict whether patients harbor sufficient ctDNA for informative blood-based genotyping.
- Nicolette M. Fonseca
- , Corinne Maurice-Dror
- & Alexander W. Wyatt
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Article
| Open AccessA Phase II trial of alternating osimertinib and gefitinib therapy in advanced EGFR-T790M positive non-small cell lung cancer: OSCILLATE
Alterations of therapeutic pressures have been shown to affect clonal evolution of resistance. Here, the authors conducted a single arm, phase 2 trial consisting of alternating osimertinib and gefitinib in non-small cell lung cancer, and found ctDNA dynamics were predictive of response.
- Lavinia Tan
- , Chris Brown
- & Benjamin J. Solomon
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Article
| Open AccessRare disease research workflow using multilayer networks elucidates the molecular determinants of severity in Congenital Myasthenic Syndromes
Congenital myasthenic syndromes are rare inherited neuromuscular disorders. Here, the authors attempt to explain diverse disease severity seen in 20 patients with shared CHRNE gene mutations with a multilayer network analysis that identifies individual-level impairments at the neuromuscular junction.
- Iker Núñez-Carpintero
- , Maria Rigau
- & Alfonso Valencia
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Article
| Open AccessMetabolomic profiles of sleep-disordered breathing are associated with hypertension and diabetes mellitus development
Sleep-disordered breathing (SDB) is a prevalent disorder linked to higher cardiovascular disease risk. Here, the authors show that summary scores reflecting SDB metabolite signatures are associated with increased risks for incident hypertension and diabetes, potentially useful in guiding risk stratification.
- Ying Zhang
- , Bing Yu
- & Tamar Sofer
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Article
| Open AccessMulti-molecular hyperspectral PRM-SRS microscopy
Spatial imaging methods in lipid research can disrupt tissue integrity and can have limited spatial and spectral resolution. Here, the authors present an SRS-based hyperspectral imaging platform to visualise lipids and lipoproteins in a variety of tissues and animal species.
- Wenxu Zhang
- , Yajuan Li
- & Lingyan Shi
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Article
| Open AccessLarge language models streamline automated machine learning for clinical studies
A knowledge gap persists between machine learning developers and clinicians. Here, the authors show that the Advanced Data Analysis extension of ChatGPT could bridge this gap and simplify complex data analyses, making them more accessible to clinicians.
- Soroosh Tayebi Arasteh
- , Tianyu Han
- & Sven Nebelung
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Article
| Open AccessFasting-mimicking diet causes hepatic and blood markers changes indicating reduced biological age and disease risk
Fasting mimicking diets (FMDs) can promote healthy aging in animal models but effects on human healthspan remain elusive. Here the authors provide support for beneficial effects of the FMD on cardiometabolic risk factors and biological age biomarkers.
- Sebastian Brandhorst
- , Morgan E. Levine
- & Valter D. Longo
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Article
| Open AccessMulti-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features
The characterisation of the molecular features of multiple myeloma (MM) remains challenging. Here, the authors identify a subset of MM patients with a dismal clinical outcome, harbouring both chromosomes 1q CN gain and 13 CN loss and overexpressing CCND2.
- Carolina Terragna
- , Andrea Poletti
- & Michele Cavo
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Article
| Open AccessSingle-cell and spatial multi-omics highlight effects of anti-integrin therapy across cellular compartments in ulcerative colitis
Anti-integrin therapy inhibits lymphocyte trafficking in ulcerative colitis. Here Mennillo et al. use single-cell and spatial -omics to show modulation of mononuclear phagocytes and other networks, identifying gene sets related to treatment response.
- Elvira Mennillo
- , Yang Joon Kim
- & Michael G. Kattah
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Article
| Open AccessGene-expression-based T-Cell-to-Stroma Enrichment (TSE) score predicts response to immune checkpoint inhibitors in urothelial cancer
Immune checkpoint inhibitor treatment improves overall survival in metastatic urothelial cancer, but response of individual patients varies significantly. Authors here perform whole-genome DNA and bulk RNA sequencing on samples from metastatic tumours and based on these data, they set up a single metric, T cell-to-stroma enrichment (TSE) score, that reflects the relative abundance of T cells versus stromal cells and their products, accurately predicting therapeutic outcome.
- Maud Rijnders
- , J. Alberto Nakauma-González
- & Martijn P. Lolkema
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Article
| Open AccessRegression-based Deep-Learning predicts molecular biomarkers from pathology slides
Cancer biomarkers are often continuous measurements, which poses challenges for their prediction using classification-based deep learning. Here, the authors develop a regression-based deep learning method to predict continuous biomarkers - such as the homologous repair deficiency score - from cancer histopathology images.
- Omar S. M. El Nahhas
- , Chiara M. L. Loeffler
- & Jakob Nikolas Kather
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Article
| Open AccessA method to estimate the contribution of rare coding variants to complex trait heritability
The contribution of rare variants to complex traits has not been well studied. Here, the authors present RARity, a method to assess rare variant heritability without assuming a particular genetic architecture and enabling both gene-level and exome-wide heritability estimation of continuous traits.
- Nazia Pathan
- , Wei Q. Deng
- & Guillaume Paré
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Article
| Open AccessThe role of extracellular vesicle fusion with target cells in triggering systemic inflammation
Extracellular vesicles (EVs) play a crucial role in intercellular communication by transferring bioactive molecules from donor to recipient cells. Here, the authors show that EVs play a crucial role in activating immune responses through cell fusion, shedding light on their impact on inflammation.
- Praveen Papareddy
- , Ines Tapken
- & Heiko Herwald
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Article
| Open AccessCDK6 inhibits de novo lipogenesis in white adipose tissues but not in the liver
Obesity is a risk factor for diseases. Here, authors found that inhibition of cyclin-dependent kinase 6 increased de novo lipogenesis in the adipose tissues but not in the liver, which may provide a strategy to concur obesity-induced maladies.
- Alexander J. Hu
- , Wei Li
- & Miaofen G. Hu
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Article
| Open AccessEarly onset diagnosis in Alzheimer’s disease patients via amyloid-β oligomers-sensing probe in cerebrospinal fluid
In this work, the authors characterize a small molecule fluorescent probe pioneering early diagnosis of Alzheimer’s disease through identification of amyloid-β oligomers in patients’ cerebrospinal fluid, demonstrating potential for clinical application.
- Jusung An
- , Kyeonghwan Kim
- & Jong Seung Kim
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Article
| Open AccessBrain asymmetries from mid- to late life and hemispheric brain age
The human brain is highly asymmetrical and increasingly so with age. Here the authors examine hemispheric brain age estimates, which provide additional insights into brain asymmetries.
- Max Korbmacher
- , Dennis van der Meer
- & Ivan I. Maximov
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Article
| Open AccessCongenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts
Congenital heart disease is life threatening, and its screening is complex and costly. Here, authors use AI to detect the disease based on pediatric electrocardiogram, suggesting superior performance over cardiologists.
- Jintai Chen
- , Shuai Huang
- & Huiying Liang
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Article
| Open AccessA renal clearable fluorogenic probe for in vivo β-galactosidase activity detection during aging and senolysis
In vivo detection of cell senescence remains a challenge in aging research. This work introduces a novel fluorogenic probe for β-Gal activity that is excreted in urine, providing a simple diagnosis method to estimate the systemic load of senescent cells during aging and senolytic interventions.
- Sara Rojas-Vázquez
- , Beatriz Lozano-Torres
- & Ramón Martínez-Máñez
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Article
| Open AccessLongitudinal plasma proteomics reveals biomarkers of alveolar-capillary barrier disruption in critically ill COVID-19 patients
Using longitudinal profiling of 6385 plasma proteins in hospitalised patients, the authors demonstrate that alveolar capillary barrier disruption in critical COVID-19 is reflected in the plasma proteome, and is attenuated with imatinib treatment.
- Erik Duijvelaar
- , Jack Gisby
- & Jurjan Aman
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Article
| Open AccessAn IL-10/DEL-1 axis supports granulopoiesis and survival from sepsis in early life
Neutrophils play critical roles in response to infection, and the limit of available neutrophils in neonates and young infants can impact responses to infections, including sepsis. Here the authors identify that the IL-10/DEL-1 axis is involved in emergency granulopoiesis in neonates and suggest a link to sepsis survival in early life.
- Eleni Vergadi
- , Ourania Kolliniati
- & Christos Tsatsanis
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Article
| Open AccessInterindividual- and blood-correlated sweat phenylalanine multimodal analytical biochips for tracking exercise metabolism
The in-depth study on the sweat–blood partitioning mechanisms of amino acids is promising for noninvasive metabolic monitoring. Here, the authors develop a wearable biochip for sweat phenylalanine multimodal analysis aimed at tracking exercise metabolic risk and exploring the sweat–blood correlation.
- Bowen Zhong
- , Xiaokun Qin
- & Lili Wang
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Article
| Open AccessGenetic architecture distinguishes tinnitus from hearing loss
The genetic basis of tinnitus and how it relates to hearing loss genetics is unknown. In a large GWAS for tinnitus, the authors discover tinnitus’ distinct genetic architecture from hearing loss and its correlation with a spectrum of psychiatric disorders.
- Royce E. Clifford
- , Adam X. Maihofer
- & Caroline M. Nievergelt
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Article
| Open AccessLarge scale plasma proteomics identifies novel proteins and protein networks associated with heart failure development
The pathobiology of heart failure (HF) is incompletely understood. The authors identify 37 circulating proteins and 5 protein modules associated with HF risk, with several demonstrating causal effects on HF, risk factors, or cardiac dysfunction by Mendelian randomization analysis.
- Amil M. Shah
- , Peder L. Myhre
- & Bing Yu
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Article
| Open AccessDermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Artificial intelligence has become popular as a cancer classification tool, but there is distrust of such systems due to their lack of transparency. Here, the authors develop an explainable AI system which produces text- and region-based explanations alongside its classifications which was assessed using clinicians’ diagnostic accuracy, diagnostic confidence, and their trust in the system.
- Tirtha Chanda
- , Katja Hauser
- & Titus J. Brinker
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Article
| Open AccessPersonalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning
The decision to switch patients from intravenous to oral antibiotic therapy is important for the individual and wider society. Here, authors show a machine learning model using routine clinical data can predict when a patient could switch.
- William J. Bolton
- , Richard Wilson
- & Timothy M. Rawson