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The COVID-19 pandemic remains a global health crisis, yet, the immunopathological mechanisms driving the development of severe disease remain poorly defined. Here, we utilize a rhesus macaque (RM) model of SARS-CoV-2 infection to delineate perturbations in the innate immune system during acute infection using an integrated systems analysis. We found that SARS-CoV-2 initiated a rapid infiltration (two days post infection) of plasmacytoid dendritic cells into the lower airway, commensurate with IFNA production, natural killer cell activation, and induction of interferon-stimulated genes. At this early interval, we also observed a significant increase of blood CD14-CD16+ monocytes. To dissect the contribution of lung myeloid subsets to airway inflammation, we generated a novel compendium of RM-specific lung macrophage gene expression using a combination of sc-RNA-Seq data and bulk RNA-Seq of purified populations under steady state conditions. Using these tools, we generated a longitudinal sc-RNA-seq dataset of airway cells in SARS-CoV-2-infected RMs. We identified that SARS-CoV-2 infection elicited a rapid recruitment of two subsets of macrophages into the airway: a C206+MRC1-population resembling murine interstitial macrophages, and a TREM2+ population consistent with CCR2+ infiltrating monocytes, into the alveolar space. These subsets were the predominant source of inflammatory cytokines, accounting for ~75% of IL6 and TNF production, and >90% of IL10 production, whereas the contribution of CD206+MRC+ alveolar macrophages was significantly lower. Treatment of SARS-CoV-2 infected RMs with baricitinib (Olumiant®), a novel JAK1/2 inhibitor that recently received Emergency Use Authorization for the treatment of hospitalized COVID-19 patients, was remarkably effective in eliminating the influx of infiltrating, non-alveolar macrophages in the alveolar space, with a concomitant reduction of inflammatory cytokines. This study has delineated the major subsets of lung macrophages driving inflammatory and anti-inflammatory cytokine production within the alveolar space during SARS-CoV-2 infection.One sentence summaryMulti-omic analyses of hyperacute SARS-CoV-2 infection in rhesus macaques identified two population of infiltrating macrophages, as the primary orchestrators of inflammation in the lower airway that can be successfully treated with baricitinib

Effective therapeutics aimed at mitigating COVID-19 symptoms are urgently needed. SARS-CoV-2 induced hypercytokinemia and systemic inflammation are associated with disease severity. Baricitinib, a clinically approved JAK1/2 inhibitor with potent anti-inflammatory properties is currently being investigated in COVID-19 human clinical trials. Recent reports suggest that baricitinib may also have antiviral activity in limiting viral endocytosis. Here, we investigated the immunologic and virologic efficacy of baricitinib in a rhesus macaque model of SARS-CoV-2 infection. Viral shedding measured from nasal and throat swabs, bronchoalveolar lavages and tissues was not reduced with baricitinib. Type I IFN antiviral responses and SARS-CoV-2 specific T cell responses remained similar between the two groups. Importantly, however, animals treated with baricitinib showed reduced immune activation, decreased infiltration of neutrophils into the lung, reduced NETosis activity, and more limited lung pathology. Moreover, baricitinib treated animals had a rapid and remarkably potent suppression of alveolar macrophage derived production of cytokines and chemokines responsible for inflammation and neutrophil recruitment. These data support a beneficial role for, and elucidate the immunological mechanisms underlying, the use of baricitinib as a frontline treatment for severe inflammation induced by SARS-CoV-2 infection.

Immune profiling of COVID-19 patients Coronavirus disease 2019 (COVID-19) has affected millions of people globally, yet how the human immune system responds to and influences COVID-19 severity remains unclear. Mathew et al. present a comprehensive atlas of immune modulation associated with COVID-19. They performed high-dimensional flow cytometry of hospitalized COVID-19 patients and found three prominent and distinct immunotypes that are related to disease severity and clinical parameters. Arunachalam et al. report a systems biology approach to assess the immune system of COVID-19 patients with mild-to-severe disease. These studies provide a compendium of immune cell information and roadmaps for potential therapeutic interventions. Science, this issue p. eabc8511, p. 1210, Immune responses of COVID-19 patients are cataloged and compared with those of healthy individuals., Coronavirus disease 2019 (COVID-19) represents a global crisis, yet major knowledge gaps remain about human immunity to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We analyzed immune responses in 76 COVID-19 patients and 69 healthy individuals from Hong Kong and Atlanta, Georgia, United States. In the peripheral blood mononuclear cells (PBMCs) of COVID-19 patients, we observed reduced expression of human leukocyte antigen class DR (HLA-DR) and proinflammatory cytokines by myeloid cells as well as impaired mammalian target of rapamycin (mTOR) signaling and interferon-α (IFN-α) production by plasmacytoid dendritic cells. By contrast, we detected enhanced plasma levels of inflammatory mediators—including EN-RAGE, TNFSF14, and oncostatin M—which correlated with disease severity and increased bacterial products in plasma. Single-cell transcriptomics revealed a lack of type I IFNs, reduced HLA-DR in the myeloid cells of patients with severe COVID-19, and transient expression of IFN-stimulated genes. This was consistent with bulk PBMC transcriptomics and transient, low IFN-α levels in plasma during infection. These results reveal mechanisms and potential therapeutic targets for COVID-19.

Objectives To determine the prognostic potential of Sig24 for identifying prostate cancer patients at risk of developing metastases or experiencing PCSM following radical prostatectomy. Subjects and methods Sig24 scores were calculated from previously collected gene expression microarray data from the Cleveland Clinic and Mayo Clinic (I and II). The performance of Sig24 was determined using time-dependent c-index analysis, Cox proportional hazards regression and Kaplan-Meier survival analysis. Results Higher Sig24 scores were significantly associated with higher pathologic Gleason scores (GS) in all three cohorts. Analysis of the Mayo Clinic II cohort, which included time to event information, indicated that patients with high Sig24 scores also had an increased risk of developing metastasis (HR: 3.78, 95% CI: 1.96-7.29, p < 0.001) or experiencing PCSM (HR: 6.54, 95% CI: 2.16-19.83, p < 0.001). Conclusions The findings of this study demonstrate the applicability of Sig24 for the prognosis of metastasis or PCSM following radical prostatectomy. Future studies investigating the combination of Sig24 with available prognostic tests may provide new approaches to improve risk stratification for patients with prostate cancer. This article is protected by copyright. All rights reserved.

Background: Chronic graft-versus-host disease (CGVHD) is the leading cause of long-term morbidity and mortality following hematopoietic stem cell transplant (HCT) and occurs in over 50% of patients undergoing unrelated donor HCT. Despite its frequency, the mechanisms driving this disease remain incompletely understood, making its prevention and successful treatment challenging. To address this issue, we have undertaken a transcriptomic analysis of T cell reconstitution after unrelated donor HCT, to dissect mechanisms driving CGVHD. Methods: The patients studied were enrolled on a Phase 2, randomized, placebo-controlled trial of abatacept for GVHD prevention in patients receiving 8/8 unrelated-donor HCT for hematologic malignancies (NCT01743131). All immune analyses in the current study were performed on patients randomized to standard GVHD prophylaxis with calcineurin inhibition + methotrexate alone (placebo cohort, n =69), and thus provide insights into the drivers of CGVHD during standard unrelated donor HCT. On Day +100, CD4+ T cells were purified from the peripheral blood of these patients, and then analyzed by RNASeq. To determine the transcriptomic drivers of CGVHD without the confounder of significant prior acute GVHD (AGVHD) or exposure to steroids, we focused on profiling the CD4+ transcriptome of de novo CGVHD (CGVHD which develops in the absence of prior grade II-IV AGVHD, n = 7) and compared these patients to those who were 'operationally tolerant' and never developed either grade II-IV AGVHD or any CGVHD (n= 4). Gene expression from the resulting transcriptomes was quantified using kallisto. Differentially expressed (DE) genes were identified using DESeq2 (threshold for DE, adjusted (for multiple testing) p Results: DE analysis identified 101 genes that were significantly upregulated in CD4+ T cells from de novo CGVHD group and 54 genes that were significantly upregulated in the 'operationally tolerant' group (Figure 1A). GSEA identified that the mostly highly enriched signatures in patients with de novo CGVHD encompassed naïve CD4+ transcriptional programing (Figure 1B-C), in agreement with flow cytometric analysis, which also demonstrated expansion of CD4+ naïve T cells at Day +100 in patients developing de novo CGVHD compared to those demonstrating operational tolerance (Figure 1D). Importantly, the naïve CD4+ T cell signatures that were identified were distinct from those defining CD4+ stem cell memory T cells (which did not enrich in the de novo CGVHD cohort). In contrast, the gene signature of the operationally tolerant patients were enriched for regulatory gene sets (Figure 1C), consistent with a large body of evidence demonstrating that Treg expansion can be protective against CGVHD. Discussion: This study represents, to our knowledge, the first interrogation of the transcriptomic features of patients developing de novo CGVHD versus those operationally tolerant patients who develop neither significant AGVHD nor CGVHD after HCT. These patients may represent a particularly effective cohort in which to study immunologic drivers of CGVHD, given their freedom from prior treatment with corticosteroids, which can confound downstream transcriptomic analyses. Our data provide compelling evidence for a prominent naïve CD4+ T cell signature in patients who develop moderate-to-severe CGVHD despite their lack of antecedent AGVHD. These results are provocative, as they implicate a cell subset that is often considered more quiescent (naïve T cells) as associated with patients who develop immune pathology associated with CGVHD. These results suggest that naïve CD4+ T cells may represent a potent reservoir for alloreactivity, that, once activated, can cause significant disease. This would be in agreement with the implications of previously reported trials of naïve T cell depletion, which resulted in significant control of CGVHD. These results suggest that strategies to restrain naïve T cell pathogenic activation after Day +100 may improve CGVHD outcomes, and that the CD4+ T cell transcriptomic signature at this timepoint could be developed into a robust immunologic biomarker for the risk of developing CGVHD versus operational tolerance after HCT. Figure 1 Disclosures Watkins: Bristol Myers Squib: Honoraria. Qayed:Novartis: Consultancy; Mesoblast: Consultancy. Blazar:Tmunity: Other: Co-founder; KidsFirst Fund: Research Funding; BlueRock Therapeutics: Research Funding; Childrens' Cancer Research Fund: Research Funding; BlueRock Therapeuetic: Consultancy; Magenta Therapeutics: Consultancy; Fate Therapeutics Inc.: Research Funding. Horan:Bristol Myers Squib: Honoraria, Research Funding. Langston:Kadmon Corporation: Research Funding; Astellas Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Research Funding; Incyte: Research Funding; Bristol Myers Squib: Research Funding; Chimerix: Research Funding; Takeda: Research Funding. Kean:fortyseven: Consultancy; regeneron: Research Funding; hifibio: Consultancy; kymab: Consultancy; Bristol Meyers Squibb: Research Funding; gilead: Research Funding; novartis: Consultancy; bluebird bio: Research Funding; magenta: Research Funding.

Purpose Liquid biopsies that noninvasively detect molecular correlates of aggressive prostate cancer (PCa) could be used to triage patients, reducing the burdens of unnecessary invasive prostate biopsy and enabling early detection of high-risk disease. DNA hypermethylation is among the earliest and most frequent aberrations in PCa. We investigated the accuracy of a six-gene DNA methylation panel (Epigenetic Cancer of the Prostate Test in Urine [epiCaPture]) at detecting PCa, high-grade (Gleason score greater than or equal to 8) and high-risk (D’Amico and Cancer of the Prostate Risk Assessment] PCa from urine. Patients and Methods Prognostic utility of epiCaPture genes was first validated in two independent prostate tissue cohorts. epiCaPture was assessed in a multicenter prospective study of 463 men undergoing prostate biopsy. epiCaPture was performed by quantitative methylation-specific polymerase chain reaction in DNA isolated from prebiopsy urine sediments and evaluated by receiver operating characteristic and decision curves (clinical benefit). The epiCaPture score was developed and validated on a two thirds training set to one third test set. Results Higher methylation of epiCaPture genes was significantly associated with increasing aggressiveness in PCa tissues. In urine, area under the receiver operating characteristic curve was 0.64, 0.86, and 0.83 for detecting PCa, high-grade PCa, and high-risk PCa, respectively. Decision curves revealed a net benefit across relevant threshold probabilities. Independent analysis of two epiCaPture genes in the same clinical cohort provided analytical validation. Parallel epiCaPture analysis in urine and matched biopsy cores showed added value of a liquid biopsy. Conclusion epiCaPture is a urine DNA methylation test for high-risk PCa. Its tumor specificity out-performs that of prostate-specific antigen (greater than 3 ng/mL). Used as an adjunct to prostate-specific antigen, epiCaPture could aid patient stratification to determine need for biopsy.

Although acute graft-versus-host-disease (AGVHD) is one of the major causes of non-relapse mortality after hematopoietic stem cell transplant (HCT), we are still unable to predict which patients will develop the most severe form of this disease, or which molecular pathways are dysregulated in the T cells that cause disease. Thus, understanding the molecular features of AGVHD is a critical unmet need. To address this, we have performed a companion mechanistic study as a part of our completed Phase 2 trial of abatacept, a CD28:CD80/86 costimulation blockade agent, for severe AGVHD prevention (Clinicaltrials.gov # NCT01743131, 'ABA2'). ABA2 has demonstrated significant improvement in AGVHD in patients prophylaxed with abatacept in addition to calcineurin inhibition (CNI) + Methotrexate (MTX) compared to controls receiving CNI/MTX alone. To begin to uncover mechanisms responsible for the control of AGVHD with abatacept, and given that CD4+ T cells have been consistently documented to be the main therapeutic target of this drug, we interrogated the transcriptome of CD4+ T cells reconstituting in patients prophylaxed with abatacept compared to CNI/MTX. To perform this analysis, we flow cytometrically sorted CD4+ T cells on Days 21-28 post-transplant from all patients on ABA2, as well as a cohort of 12 untransplanted healthy controls, and subsequently performed mRNA-sequencing on these cells. Weighted Gene Correlation Network Analysis (WGCNA) was performed on the top 6000 most variant transcripts from the resulting sequencing data. Hierarchical clustering of the WGCNA co-expression matrix enabled the identification of self-assembling modules (SAMs) that met a threshold of coexpression (Figure 1A). For the ABA2 dataset, we considered the following variables in the WGCNA model: patient cohort (7/8 patients, 8/8 patients, healthy controls), +/- prophylaxis with abatacept, CMV reactivation, EBV reactivation, Grade of GVHD (0-4), relapse, non-relapse mortality, and all-cause mortality. The WGCNA clustering analysis resulted in the identification of 4 discrete SAMs, which were highly correlated with clinical variable metamodules. This analysis revealed a strong positive correlation of a 476-gene SAM (the Turquoise module) in patients prophylaxed with CNI/MTX + placebo and anti-correlation of this module in patients prophylaxed with CNI/MTX + abatacept, as demonstrated in both the WGCNA heatmap and through Gene Set Enrichment Analysis (Figure 1 A-B). These opposing correlations suggested that interrogation of this module would reveal mechanistic correlates with standard prophylaxis that were decoupled by abatacept. Pathway analysis using the Reactome database (Figure 1C) revealed the turquoise SAM to be dominated by four types of pathways: (1) Those that define canonical cell-cycle pathways (2) Those involved in T cell metabolism (3) Those involved in apoptosis and (4) Those involved in T cell activation, consistent with upregulation of these transcripts in placebo versus abatacept patients. In addition to being highly correlated with patients receiving placebo, the expression of a subset of the transcripts in the Turquoise module were also directly correlated with the severity of AGVHD in these patients. Thus, linear regression analysis of the 476 transcripts in this module identified a subset of 93 genes for which transcript expression level was increased both in placebo compared to abatacept, and for which expression level also positively correlated with Grade of AGVHD. As with the Turquoise module as a whole, this subset of genes also formed a highly correlated network, linking transcripts involved in T cell proliferation, apoptosis, activation, metabolism as well as the T cell checkpoint (Figure 1D). This analysis represents the first comprehensive interrogation of the transcriptomic correlates of AGVHD. It identifies a novel set of transcripts which positively associate with the severity of AGVHD, and which costimulation blockade with abatacept down-regulates and de-couples from AGVHD severity. These results suggest a profound reprograming of T cell activation with abatacept that is correlated with the control of AGVHD. Disclosures Qayed: Bristol-Myers Squibb: Honoraria. Langston:Astellas Pharma: Other: Research Support; Incyte: Other: Research Support; Jazz Pharmaceuticals: Other: Research Support; Chimerix: Other: Research Support; Takeda: Other: Research Support; Kadmon Corporation: Other: Research Support; Novartis: Other: Research Support; Bristol Myers Squibb: Other: Research Support. Blazar:Fate Therapeutics, Inc.: Research Funding; RXi Pharmaceuticals: Research Funding; Alpine Immune Sciences, Inc.: Research Funding; Abbvie Inc: Research Funding; Leukemia and Lymphoma Society: Research Funding; Childrens' Cancer Research Fund: Research Funding; KidsFirst Fund: Research Funding; Tmunity: Other: Co-Founder; BlueRock Therapeutics: Membership on an entity's Board of Directors or advisory committees; Kamon Pharmaceuticals, Inc: Membership on an entity's Board of Directors or advisory committees; Five Prime Therapeutics Inc: Co-Founder, Membership on an entity's Board of Directors or advisory committees; Regeneron Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Magenta Therapeutics and BlueRock Therapeuetics: Membership on an entity's Board of Directors or advisory committees. Kean:HiFiBio: Consultancy; BlueBirdBio: Research Funding; Gilead: Research Funding; Regeneron: Research Funding; EMDSerono: Consultancy; FortySeven: Consultancy; Magenta: Research Funding; Kymab: Consultancy; Jazz: Research Funding; Bristol Meyers Squibb: Patents & Royalties, Research Funding. OffLabel Disclosure: Abatacept: Approved for Rheumatoid Arthritis; used in this trial for prevention of GVHD.

Background: Patients with locally advanced or recurrent prostate cancer typically undergo androgen deprivation therapy (ADT), but the benefits are often short-lived and the responses variable. ADT failure results in castration-resistant prostate cancer (CRPC), which inevitably leads to metastasis. We hypothesized that differences in tumor transcriptional programs may reflect differential responses to ADT and subsequent metastasis. Results: We performed whole transcriptome analysis of 20 patient-matched Pre-ADT biopsies and 20 Post-ADT prostatectomy specimens, and identified two subgroups of patients (high impact and low impact groups) that exhibited distinct transcriptional changes in response to ADT. We found that all patients lost the AR-dependent subtype (PCS2) transcriptional signatures. The high impact group maintained the more aggressive subtype (PCS1) signal, while the low impact group more resembled an AR-suppressed (PCS3) subtype. Computational analyses identified transcription factor coordinated groups (TFCGs) enriched in the high impact group network. Leveraging a large public dataset of over 800 metastatic and primary samples, we identified 33 TFCGs in common between the high impact group and metastatic lesions, including SOX4/FOXA2/GATA4, and a TFCG containing JUN, JUNB, JUND, FOS, FOSB, and FOSL1. The majority of metastatic TFCGs were subsets of larger TFCGs in the high impact group network, suggesting a refinement of critical TFCGs in prostate cancer progression. Conclusions: We have identified TFCGs associated with pronounced initial transcriptional response to ADT, aggressive signatures, and metastasis. Our findings suggest multiple new hypotheses that could lead to novel combination therapies to prevent the development of CRPC following ADT.

Patients with recurrent, aggressive prostate cancer typically undergo androgen-deprivation therapy (ADT), but the benefits are often short-lived, and responses are variable. Failure to respond to ADT invariably leads to metastatic disease, and ultimately death. To investigate differential responses to ADT, we performed whole-transcriptome analysis of 20 patient-matched pre-ADT biopsies and post-ADT prostatectomy specimens, and observed that all patients lost transcriptional signatures indicative of the androgen receptor (AR)-dependent subtype, after treatment. We also identified two subgroups of patients with either a strong or weak transcriptional response to ADT. The strong responders maintained the more aggressive subtype signal, while the weak responders lost expression of these genes and more resembled an AR-suppressed, basal subtype. We generated a strong responder transcriptional network using the PANDA program and integrated expression data from our cohort, protein-protein interaction, and DNA binding motif data. We also leveraged the expression data from a large public dataset of over 800 metastatic and primary samples to construct a metastatic lesion transcriptional network. We identified 20 common transcription factor coordinated groups (TFCGs) associated with both the strong responders and metastatic lesions, including GLI3/GLI2, SOX4/FOXA2/GATA4, ERF/ETV5/ETV3/ELF4, and a TFCG containing JUN, JUNB, JUND, FOS, FOSB, and FOSL1. Many TFCGs in the metastatic network were subsets of larger groups in the strong responders network, implicating these transcription factor associations as potentially critical for both the differential ADT response and metastatic disease progression. Citation Format: Nitya V. Sharma, Kathryn L. Pellegrini, Veronique Ouellet, Felipe O. Giuste, Selvi Ramalingam, Kenneth Watanabe, Eloise Adam-Granger, Lucresse Fossouo, Sungyong You, Michael R. Freeman, Paula Vertino, Karen Conneely, Adeboye O. Osunkoya, Dominique Trudel, Anne-Marie Mes-Masson, John A. Petros, Fred Saad, Carlos S. Moreno. Transcription factor relationships associated with androgen-deprivation therapy response and metastatic progression in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2269.

Background The TMPRSS2-ERG gene fusion occurs in about half of prostate cancer (PCa) cases and results in overexpression of the transcription factor ERG. Overexpression of ERG has many effects on cellular function. However, how these changes enhance cell growth and promote tumor development is unclear. Methods To investigate the role of ERG, LNCaP and PC3 cells were transfected with ERG and gene expression and metabolic profile were analyzed. Results Our data show that expression of ERG induces overexpression of many nicotinicacetylcholine receptors (nAChRs). In addition, metabolic profiling by LC-MS/MS revealed elevated production of several neurotransmitters in cells expressing ERG. Consistently, treatment of ERG-expressing cells with nicotine induced elevated calcium influx, GSK3β (Ser9) phosphorylation and cell proliferation. Finally, we show that PCa patientswho are smokers have larger tumors if their tumors are TMPRSS2-ERG gene fusion positive. Conclusion Collectively, our data suggest that ERG sensitizes prostate tumor cells to neurotransmitter receptor agonists like nicotine. Electronic supplementary material The online version of this article (doi:10.1186/s12885-015-1612-3) contains supplementary material, which is available to authorized users.

A large number of men are diagnosed with prostate cancer each year, but many will not experience morbidity or mortality as a result of their cancers. Therefore, biomarkers for prostate cancer are necessary to carefully select patients for initial diagnostic biopsy or to facilitate care decisions for men who have already been diagnosed with prostate cancer. RNA-based approaches to biomarker discovery allow the investigation of non-coding RNAs, gene fusion transcripts, splice variants, and multi-gene expression panels in tissue, urine, or blood as opportunities to improve care decisions. This review focuses on RNA biomarkers that are available as commercial assays, and therefore already available for potential clinical use, as well as providing an overview of newer RNA biomarkers that are in earlier stages of clinical development.

Background. Myoblast transplantation has long been studied as a potential therapy for Duchenne muscular dystrophy as the incorporation of donor myoblasts into host muscle allows the production of functional dystrophin protein. However, the clinical feasibility of this approach is limited by the poor survival of the donor cells in the weeks after transplantation. It has recently been determined that the intramuscular transplantation of large numbers of cells can lead to the formation of ischemic necrosis in the center of these cell masses. For this reason, the relationship between donor cell survival and the number of cells transplanted was investigated. Methods. Myoblasts were prepared from the hind limb muscles of male C57BL/10Sn mice and transplanted into the tibialis anterior muscles of female mdx mice at one of the following amounts: 103, 104, 105, or 106 cells. The survival of the transplanted cells was analyzed using a Y chromosome-specific qPCR. Results. It was found that donor cell survival was improved 1 week after transplantation when fewer myoblasts were transplanted, including the observation of donor cell proliferation after the transplantation of 103 myoblasts. However, concentration effects and long-term survival complicate the interpretation of these results. Conclusions. These results indicate that early donor myoblast survival was dependent on the number of cells transplanted and the volume of liquid used to deliver them into the muscle. We believe that this finding has implications for the design and interpretation of future experimentation relating to intramuscular cell therapies.

The high incidence of acute and chronic kidney injury due to various environmental factors such as heavy metals or chemicals has been a major problem in developing countries. However, the diagnosis of kidney injury in these areas can be more challenging due to the lack of highly sensitive and specific techniques that can be applied in point-of-care settings. To address this, we have developed a technique called ‘micro-urine nanoparticle detection (μUNPD)’, that allows the detection of trace amounts of molecular markers in urine. Specifically, this technique utilizes an automated on-chip assay followed by detection with a hand-held device for the read-out. Using the μUNPD technology, the kidney injury markers KIM-1 and Cystatin C were detected down to concentrations of 0.1 ng/ml and 20 ng/ml respectively, which meets the cut-off range required to identify patients with acute or chronic kidney injury. Thus, we show that the μUNPD technology enables point of care and non-invasive detection of kidney injury, and has potential for applications in diagnosing kidney injury with high sensitivity in resource-limited settings.