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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2018

Jagged1/Notch2 Controls Kidney Fibrosis via Tfam-mediated Metabolic Reprogramming

While Notch signaling has been proposed to play a key role in fibrosis, the direct molecular pathways targeted by Notch signaling and the precise ligand and receptor pair that are responsible for kidney disease remain poorly defined.\n\nIn this study, we found that JAG1 and NOTCH2 showed the strongest correlation with the degree of interstitial fibrosis in a genome wide expression analysis of a large cohort of human kidney samples. RNA sequencing analysis of kidneys of mice with folic acid nephropathy, unilateral ureteral obstruction, or APOL1-associated kidney disease indicated that Jag1 and Notch2 levels were higher in all analyzed kidney fibrosis models. Mice with tubule-specific deletion of Jag1 or Notch2 (Kspcre/Jag1flox/flox, and Kspcre/Notch2flox/flox) had no kidney-specific alterations at baseline, but showed protection from folic acid induced kidney fibrosis. Tubule-specific genetic deletion of Notch1 and global knock-out of Notch3 had no effect on fibrosis. In vitro chromatin immunoprecipitation experiments and genome-wide expression studies identified the mitochondrial transcription factor A (Tfam) as a direct Notch target. Re-expression of Tfam in tubule cells prevented Notch-induced metabolic and profibrotic reprogramming. Kidney tubule specific deletion of Tfam resulted in perinatal lethality.\n\nIn summary, Jag1/Notch2 plays a key role in kidney fibrosis development by regulating Tfam expression and metabolic reprogramming.

pathology↗

bioRxiv2018

Functional genomics identifies AMPD2 as a new prognostic marker for undifferentiated pleomorphic sarcoma

Soft-tissue sarcomas are rare, heterogeneous and often aggressive mesenchymal cancers. Many of them are associated with poor outcome, in part because biomarkers that can reliably identify high-risk patients are lacking. Studies on sarcomas often are limited by small sample sizes rendering the identification of novel biomarkers difficult when focusing only on individual cohorts. However, the increasing number of publicly available omics data opens inroads to overcome this obstacle.\n\nHere, we combine high-throughput transcriptome analyses, immunohistochemistry, and functional assays to show that high adenosine monophosphate deaminase 2 (AMPD2) is a robust prognostic biomarker for worse patient outcome in undifferentiated pleomorphic sarcoma (UPS). Publicly available gene expression and survival data for UPS from two independent studies, The Cancer Genome Atlas (TCGA) and the CINSARC reference dataset, were subjected to survival association testing. Genes, whose high expression was significantly correlated with worse outcome in both cohorts (overall and metastasis-free survival), were considered as prognostic marker candidates. The best candidate, AMPD2, was validated on protein level in an independent tissue microarray. Analysis of DNA copy-number and matched gene expression data indicated that high AMPD2 expression is significantly correlated with copy-number gains at the AMPD2 locus. Gene-set enrichment analyses of AMPD2 co-expressed genes in both UPS gene expression datasets suggested that highly AMPD2 expressing tumors are enriched in gene signatures involved in tumorigenesis. Consistent with this prediction in primary tumors, knockdown of AMPD2 by RNA interference with pooled siRNAs or a doxycycline-inducible shRNA construct in the UPS cell line FPS-1 markedly inhibited proliferation in vitro and tumorigenicity in vivo.\n\nCollectively, these results provide evidence that AMPD2 may serve as a novel biomarker for outcome prediction in UPS. Our study exemplifies how the integration of available omics data, immunohistochemical analyses, and functional experiments can identify novel biomarkers even in a rare sarcoma, which may serve as a blueprint for biomarker identification for other rare cancers.

pathology↗

bioRxiv2018

CD56 expression of intravascular trophoblasts defines a class of vasculopathy in preeclampsia and other pregnancy complications

We have discovered the expression of CD56 on the intravascular trophoblasts in the maternal spiral artery at implantation sites, and we have also found the similar phenotypic switch of intravascular trophoblasts in the decidual vasculopathy in preeclampsia. Currently we have examined 124 placentas from the patients with preeclampsia and 84 placentas from patients with other pregnancy associated complications without preeclampsia. CD56 expression on the intravascular trophoblasts can be seen in classic decidual vasculopathy such as fibrinoid medial necrosis and acute atherosis. In addition, partial involvement of the decidual vessels with classic vasculopathy can also be identified by CD56 expression. The cellular components of the classic vasculopathy in preeclampsia showed immunoreactivity to cytokeratin and CD68, in addition to CD56 expression, indicating the fetal trophoblastic cell origin. The classic decidual vasculopathy including acute atherosis and fibrinoid medial necrosis can be unified and designated as CD56-related vasculopathy. The CD56 related vasculopathy is associated not only to preeclampsia but also to other pregnancy related complications, such as gestational diabetes, placental infarcts, intervillous thrombosis and other fetal distress syndromes. Our study defined a spectrum of decidual vasculopathy spanning from the classic preeclampsia to other complications important to pregnancy that can be highlighted by CD56 expression, pointing to different direction of pathogenesis of preeclampsia and other pregnancy associated complications.

pathology↗

bioRxiv2018

Improving Accuracy of Nuclei Segmentation by Reducing Histological Image Variability

Cancer is the second leading cause of death in United States. Early diagnosis of this disease is essential for many types of treatment. Cancer is most accurately observed by pathologists using tissue biopsy. In the past, evaluation of tissue samples was done manually, but to improve efficiency and ensure consistent quality, there has been a push to evaluate these algorithmically. One important task in histological analysis is the segmentation and evaluation of nuclei. Nuclear morphology is important to understand the grade and progression of cancer. Convolutional neural networks (CNN) were used to segment train models for nuclei segmentation. Stains are used to highlight cellular features. However, there is significant variability in imaging of stained slides due to differences in stain, slide preparation and slide storage. This make automated methods challenging to implement across different datasets. This paper evaluates four stain normalization methods to reduce the variability between slides. Nuclear segmentation accuracy was evaluated for each normalized method. Baseline segmentation accuracy was improved by more than 50% of its base value as measured by the AUC and Recall. We believe this is the first study to look at the impact of four stain normalization approaches (histogram equalization, Reinhart, Macenko, Khan) on segmentation accuracy.

pathology↗

bioRxiv2018

Non-intravenous, carbapenem-sparing antibiotics for the treatment of bacteremia due to ESBL or AMP-C β-lactamase: A propensity score study

IntroductionCarbapenems are considered the treatment of choice for extended-spectrum {beta}-lactamase (ESBL) or Amp-C {beta}-lactamase-producing Enterobacteriaceae bacteremia. Data on the effectiveness of non-intravenous carbapenem-sparing antibiotic options are limited.\n\nObjectiveTo compare the 30 day-mortality and clinical failures associated with the use of carbapenems vs an alternative non-intravenous antibiotic for the definitive treatment of ESBL/Amp-C positive Enterobacteriaceae bacteremia.\n\nMethodsThis is a 12-year retrospective study (2004 - 2015) including all patients with bacteremia due to ESBL/Amp-C-producing Enterobacteriaceae. Given the lack of randomization of the initial therapies, a propensity score for receiving carbapenems was calculated.\n\nResultsThere were 1115 patients with a first episode of bacteremia due to E. coli or K. pneumoniae, of which 123 were ESBL/Amp C-positive (11%). There were 101 eligible patients: 59 in the carbapenem group and 42 in the alternative treatment group (cotrimoxazole 59.5%, quinolones 21.4%). The most frequent sources of infection were urinary (63%) and biliary (15%). Compared to the carbapenem group, patients treated with the alternative regimen had a shorter hospital stay (median [IQR]: 7 days [5-10] vs 12 days [9-18], p<0,001). The use of an alternative non-IV treatment did not increase mortality (OR 27; 95% CI 0.05-1.61; p=.15). After controlling for confounding factors with the propensity score, the adjusted OR of carbapenem treatment was 4.95; 95% CI (0.9426.01, p=.059).\n\nConclusionAlternative non-IV carbapenem-sparing antibiotics could have a role in the definitive treatment of ESBL/Amp-C-positive Enterobacteriaceae bloodstream infections, allowing a reduction in carbapenem use. The use of cotrimoxazole in this setting has shown favourable results.\n\nSome of the data contained in this article were presented at the 55th Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC) and at the 28th International Congress of Chemotherapy Meeting (ICC), San Diego, USA, 2015.

pathology↗

bioRxiv2018

Intratumoral MAPK and PI3K signaling pathway heterogeneity in glioblastoma tissuecorrelates with selective CREB signaling and specific functional gene signatures

Limitations in discovering useful tumor biomarkers and drug targets is not only due to patient-to-patient differences but also due to intratumoral heterogeneity. Heterogeneity arises due to the genetic and epigenetic variation of tumor cells in response to microenvironmental interactions and cytotoxic therapy. We explored specific signaling pathway activation in glioblastoma (GBM) by investigating the intratumoral activation of the MAPK and PI3K pathways. We present data demonstrating a striking preponderance for mutual exclusivity of MAPK and PI3K activation in GBM tissue, where MAPK activation correlates with proliferation and transcription factor CREB activation and PI3K activation correlates with CD44 expression. Bioinformatic analysis of signaling and CREB-regulated target genes supports the immunohistochemical data, showing that the MAPK-CREB activation correlates with proliferative regions. In-silico analysis suggests that MAPK-CREB signaling activates a pro-inflammatory molecular signature and correlates with a mesenchymal GBM subtype profile, while PI3K-CREB activation correlates with the proneural GBM subtype and a tumor cell invasive gene signature. Overall, the data suggests the existence of intratumoral subtype heterogeneity in GBM and that using combinations of both MAPK and PI3K drug inhibitors is necessary for effective targeted therapy.

pathology↗

bioRxiv2018

Single Cell Transcriptomics of Pancreatic Cancer Precursors Demonstrates Epithelial and Microenvironmental Heterogeneity as an Early Event in Neoplastic Progression

BackgroundEarly detection of pancreatic ductal adenocarcinoma (PDAC) remains elusive. Precursor lesions of PDAC, specifically, intraductal papillary mucinous neoplasms (IPMNs) represent a bona fide pathway to invasive neoplasia, although the molecular correlates of progression remain to be fully elucidated. Single cell transcriptomics provides a unique avenue for dissecting both the epithelial and microenvironmental heterogeneity that accompany multistep progression from non-invasive IPMNs to PDAC.\n\nMethodsSingle cell RNA-sequencing was performed through droplet-based sequencing on 5,403 cells from two low-grade IPMNs (LGD-IPMN), two high-grade IPMNs (HGD-IPMN), and two PDACs (all surgically resected).\n\nResultsAnalysis of single cell transcriptomes revealed heterogeneous alterations within the epithelium and the tumor microenvironment during the progression of non-invasive dysplasia to invasive cancer. While HGD-IPMNs expressed many core-signaling pathways described in PDAC, LGD-IPMNs harbored subsets of single cells with a transcriptomic profile that overlapped with invasive cancer. Notably, a pro-inflammatory immune component was readily seen in low-grade IPMNs, comprised of cytotoxic T-cells, activated T-helper cells, and dendritic cells, which was progressively depleted during neoplastic progression, accompanied by infiltration of myeloid-derived suppressor cells. Finally, stromal myofibroblast populations were heterogeneous, and acquired a previously described tumor-promoting and immune-evading phenotype during invasive carcinogenesis.\n\nConclusionsThis study demonstrates the ability to perform high resolution profiling of the transcriptomic changes that occur during multistep progression of cystic PDAC precursors to cancer. Notably, single cell analysis provides an unparalleled insight into both the epithelial and microenvironmental heterogeneity that accompany early cancer pathogenesis, and might be a useful substrate to identify targets for cancer interception.

pathology↗

bioRxiv2018

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Accurate detection and localization for angiodysplasia lesions is an important problem in early stage diagnostics of gastrointestinal bleeding and anemia. Gold-standard for angiodysplasia detection and localization is performed using wireless capsule endoscopy. This pill-like device is able to produce thousand of high enough resolution images during one passage through gastrointestinal tract. In this paper we present our winning solution for MICCAI 2017 Endoscopic Vision SubChallenge: Angiodysplasia Detection and Localization its further improvements over the state-of-the-art results using several novel deep neural network architectures. It address the binary segmentation problem, where every pixel in an image is labeled as an angiodysplasia lesions or background. Then, we analyze connected component of each predicted mask. Based on the analysis we developed a classifier that predict angiodysplasia lesions (binary variable) and a detector for their localization (center of a component). In this setting, our approach outperforms other methods in every task subcategory for angiodysplasia detection and localization thereby providing state-of-the-art results for these problems. The source code for our solution is made publicly available at https://github.com/ternaus/angiodysplasia-segmentation

pathology↗

bioRxiv2018

Evaluation of lung VEGF-A transduction during hyperoxia-induced injury in rats

BackgroundSince Vascular Endothelial Growth Factor (VEGF) is a main factor for endothelial survival, we evaluated whether VEGF transduction could ameliorate hyperoxia induced injury, which is associated with predominant endothelial injury.\n\nMethods and ResultsTransduction (induced 48 hours before hyperoxic exposure) using adenoviral vector (Ad.) for VEGF (1010 viral particles [VP]) increased moderately survival under hyperoxia (fraction of inspired oxygen [FIO2] >95%) as compared with Ad.Null (1010 VP) transduction, whereas VEGF transduction with a lower dose (5.109 VP) had no effect. After 48 hours of hyperoxia, Ad.VEGF transduction increased lung VEGF concentration, prevented the diffuse loss of capillary bed and induced patchy areas of endothelial cell proliferation (CD31 immunostaining) with interstitial inflammatory cell recruitment as compared to Ad. Null transduction. Hyperoxia was associated with diffuse apoptosis that was inhibited only in patchy areas of endothelial proliferation under VEGF transduction. Hyperoxia-induced alveolar inflammation was similar with Ad.Null and Ad.VEGF. Under normoxia, the high dose of VEGF transduction induced diffuse alveolar inflammation whereas the low dose did not suggesting a pro-inflammatory effect of VEGF that may have participated to increased survival under hyperoxia.\n\nConclusionsWe demonstrate that lung VEGF-A transduction despite inhibition of the loss of capillary bed has a marginal effect of on animal survival during hyperoxia-induced injury.

pathology↗

bioRxiv2018

Estrogen receptor regulates hormone-induced growth arrest in a luminal A like breast cancer model

Estrogen receptor positive (ER+) breast cancer has been divided into two subtypes, luminal A and luminal B, which differ in their ER expression and response to hormone therapy. The absence of luminal A cell lines means the extensive amount of in vitro work studying the response to hormones in ER+ breast cancers is biased for the luminal B subtype. We have developed a luminal A like cell model by increasing the ER expression in the MCF-7 cell line. Our results show that increased ER expression promotes an anti-proliferative response to estrogen through regulation of genes involved in the G1/S-phase transition of the cell cycle. Furthermore, increased ER expression increases ER-DNA binding in the absence of estrogen and regulates basal gene transcription by promoting DNA looping. These results provide novel evidence that the characteristic increased ER expression of luminal A tumors may promote a novel chromatin configuration that enables growth of these tumors in the absence of estrogen and enables gene repression in the presence of hormones.

pathology↗

bioRxiv2018

An Assessment of Skin Lesion Measurement Techniques for Use in Clinical Trials of Acute Bacterial Skin and Skin Structure Infections

BackgroundLimited data are available to support a reproducible measurement technique that could be used to assess the response of a skin lesion associated with a bacterial infection to antibacterial therapy.\n\nMethodsThis multicenter, observational study enrolled patients with a major cutaneous abscess, a traumatic wound or surgical site infection, or a cellulitis. The primary objective was to characterize the intra- and inter-observer variability inherent in measuring the size of the erythema associated with the presenting skin infection. At least two observers made ruler measurements of the infection site with the length of the infection measured as the longest dimension of the erythematous area and width measured as the largest dimension perpendicular to the longest length. Intra- and inter-observer variability was determined by the intraclass correlation coefficient (ICC). Photographs, tracings, and thermal imaging were also performed.\n\nResultsThe intra-observer ICC (95% CI) for lesion area as measured by ruler was 0.999 (0.998, 0.999), suggesting only a very small amount of the variability was due to measurement error. The difference in mean lesion area measurements by the same observer was <1%. The inter-observer ICC (95% CI) for lesion area as measured by ruler was 0.990 (0.981, 0.995) suggesting that the results between observers were also highly reliable.\n\nConclusionsMeasurement of infection area as defined by erythema and measured by ruler shows excellent intra- and inter-observer reliability and can be used in future clinical trials of acute bacterial skin infections.

pathology↗

bioRxiv2018

Scarless repair of acute and chronic kidney injury in African Spiny mice (Acomys cahirinus)

Solid organ fibrosis is a major burden on global health and medical care costs. Muroid rodents of the genus Acomys (African Spiny mice) are terrestrial mammals that evolved remarkable abilities to regenerate severe skin wounds without scar formation. However, whether scar-free wound repair in Acomys extends beyond skin to vital internal organs is not known. Here, we used two aggressive kidney injury models known to produce severe renal fibrosis and show that despite equivalent acute kidney injury, there was rapid restoration of nephron structure and function without fibrosis in Acomys compared to extensive fibrosis leading to renal failure in Mus musculus. These results suggest Acomys species have evolved genomic adaptations for wound healing that activate regenerative repair pathways not only in skin, but also in vital internal organs. Our findings have important implications for discovering a long-sought evolutionary solution to internal organ injury and regeneration.

pathology↗

bioRxiv2018

Knowledge, attitudes and awareness of the human papillomavirus among health professionals in New Zealand

BackgroundHuman papillomavirus (HPV) is a common sexually transmitted infection that is implicated in 99.7% of cervical cancers and several other cancers that affect both men and women. Despite the role that HPV plays in an estimated 5% of all cancers and the evolving role of HPV vaccination and testing in protecting the public against these cancers, preliminary research in New Zealand health care professionals suggest knowledge about HPV may not be sufficient.\n\nMethodsA total of 230 practice nurses, smear takers and other clinical and laboratory staff who attended a range of training events completed a cross-sectional survey between April 2016 and July 2017. The survey explored four broad areas: demographics and level of experience, HPV knowledge (general HPV knowledge, HPV triage and test of cure (TOC) knowledge and HPV vaccine knowledge), attitudes towards the HPV vaccine and self-perceived adequacy of HPV knowledge.\n\nResultsThe mean score on the general HPV knowledge questions was 13.2 out of 15, with only 25.2% of respondents scoring 100%. In response to an additional question, 14.0% thought (or were unsure) that HPV causes HIV/AIDS. The mean score on the HPV Triage and TOC knowledge questions was 7.4 out of 10, with only 9.1% scoring 100%. The mean score on the HPV vaccine knowledge questions was 6.0 out of 7 and 44.3% scored 100%. Only 62.6% of respondents agreed or strongly agreed that they were adequately informed about HPV, although 71.8% agreed or strongly agreed that they could confidently answer HPV-related questions asked by patients. Multivariate analyses revealed that knowledge in each domain predicted confidence in responding to patient questions. Furthermore, the number of years since training predicted both HPV knowledge and Triage and TOC knowledge.\n\nDiscussionAlthough overall level of knowledge was adequate, there were significant gaps in knowledge, particularly about the role of HPV testing in the New Zealand National Cervical Screening Programme. More education is required to ensure that misinformation and stigma do not inadvertently result from interactions between health practitioners and the public.

pathology↗

bioRxiv2018

Mouse models of hereditary hemochromatosis do not develop early liver fibrosis in response to a high fat diet

Hepatic iron overload, a hallmark of hereditary hemochromatosis (HH), triggers progressive liver disease. There is also increasing evidence for a pathogenic role of iron in non-alcoholic fatty liver disease (NAFLD), which may progress to non-alcoholic steatohepatitis (NASH), fibrosis, cirrhosis and hepatocellular cancer. Mouse models of HH and NAFLD can be used to explore potential interactions between iron and lipid metabolic pathways. Hfe-/- mice, a model of moderate iron overload, were reported to develop early liver fibrosis in response to a high fat diet. However, this was not the case with Hjv-/- mice, a model of severe iron overload. These data raised the possibility that the Hfe gene may protect against liver injury independently of its iron regulatory function. Herein, we addressed this hypothesis in a comparative study utilizing wild type, Hfe-/-, Hjv-/- and double Hfe-/-Hjv-/- mice. The animals, all in C57/BL6 background, were fed with a high fat diet for 14 weeks and developed hepatic steatosis, associated with mild iron overload. Hfe co-ablation did not sensitize steatotic Hjv-deficient mice to liver injury. Moreover, we did not observe any signs of liver inflammation or fibrosis even in single steatotic Hfe-/- mice. Ultrastructural studies revealed a reduced lipid and glycogen content in Hjv-/- hepatocytes, indicative of a metabolic defect. Interestingly, glycogen levels were restored in double Hfe-/-Hjv-/- mice, which is consistent with a metabolic function of Hfe. We conclude that hepatocellular iron excess does not aggravate diet-induced steatosis to steatohepatitis or early liver fibrosis in mouse models of HH, irrespectively of the presence or lack of Hfe.

pathology↗

bioRxiv2018

Bioinformatic characterisation of the effector repertoire of the strawberry pathogen Phytophthora cactorum

The oomycete pathogen Phytophthora cactorum causes crown rot, a major disease of cultivated strawberry. We report the draft genome of P. cactorum isolate 10300, cultured from symptomatic Fragaria x ananassa tissue. Our analysis revealed that there are a large number of genes encoding putative secreted effectors in the genome, including nearly 200 RxLR domain containing effectors, 77 Crinklers (CRN) grouped into 38 families and numerous apoplastic effectors, such as phytotoxins (PcF proteins) and necrosis inducing proteins. As in other Phytophthora species, the genomic environment of many RxLR and CRN genes differed from core eukaryotic genes, a hallmark of the two-speed genome. We found genes homologous to known Phytophthora infestans avirulence genes including Avr1, Avr3b, Avr4, Avrblb1 and AvrSmira2 indicating effector sequence conservation between Phytophthora species of Clade 1A and 1C. The reported P. cactorum genome sequence and associated annotations represent a comprehensive resource for avirulence gene discovery in other Phytophthora species from Clade 1 and will facilitate effector informed breeding strategies in other crops.

pathology↗

bioRxiv2018

Building a mechanistic mathematical model of hepatitis C virus entry

The mechanism by which hepatitis C virus (HCV) gains entry into cells is a complex one, involving a broad range of host proteins. Entry is a critical phase of the viral lifecycle, and a potential target for therapeutic or vaccine-mediated intervention. However, the mechanics of HCV entry remain poorly understood. Here we describe a novel computational model of viral entry, encompassing the relationship between HCV and the key host receptors CD81 and SR-B1. We conduct experiments to thoroughly quantify the influence of an increase or decrease in receptor availability upon the extent of viral entry. We use these data to build and parameterise a mathematical model, which we then validate by further experiments. Our results are consistent with sequential HCV-receptor interactions, whereby initial interaction between the HCV E2 glycoprotein and SR-B1 facilitates the accumulation CD81 receptors, leading to viral entry. However, we also demonstrate that a small minority of virus can achieve entry in the absence of SR-B1. Our model estimates the impact of the different obstacles that viruses must surmount to achieve entry; among virus particles attaching to the cell surface, 20-35% accumulate sufficient CD81 receptors, of these 4-8% then complete the subsequent steps to achieve productive infection. Furthermore, we make estimates of receptor stoichiometry; between 3 and 6 CD81 receptors are likely to be required to achieve viral entry. Our model provides a tool to investigate the entry characteristics of HCV variants and outlines a framework for future quantitative studies of the multi-receptor dynamics of HCV entry.

pathology↗

bioRxiv2018

Adversarial childhood events are associated with Sudden Infant Death Syndrome (SIDS): an ecological study

Sudden Infant Death Syndrome (SIDS) is the most common cause of postneonatal infant death. The allostatic load hypothesis posits that SIDS is the result of perinatal cumulative painful, stressful, or traumatic exposures that tax neonatal regulatory systems. To test it, we explored the relationships between SIDS and two common stressors, male neonatal circumcision (MNC) and prematurity, using latitudinal data from 15 countries and over 40 US states during the years 1999-2016. We used linear regression analyses and likelihood ratio tests to calculate the association between SIDS and the stressors. SIDS prevalence was significantly and positively correlated with MNC and prematurity rates. MNC explained 14.2% of the variability of SIDSs male bias in the US, reminiscent of the Jewish myth of Lilith, the killer of infant males. Combined, the stressors increased the likelihood of SIDS. Ecological analyses are useful to generate hypotheses but cannot provide strong evidence of causality. Biological plausibility is provided by a growing body of experimental and clinical evidence linking adversary preterm and early-life events with SIDS. Together with historical evidence, our findings emphasize the necessity of cohort studies that consider these environmental stressors with the aim of improving the identification of at-risk infants and reducing infant mortality.

pathology↗

bioRxiv2018

Tissue spatial correlation as cancer marker

We propose a new intrinsic cancer marker in fixed tissue biopsy slides, which is based on the local spatial autocorrelation length obtained from quantitative phase images. The spatial autocorrelation length in a small region of the tissue phase image is sensitive to the nanoscale cellular morphological alterations and can hence inform on carcinogenesis. Therefore, this metric can potentially be used as an intrinsic cancer marker in histopathology. Typically, these correlation length maps are calculated by computing 2D Fourier transforms over image sub-regions - requiring long computational times. In this paper, we propose a more time efficient method of computing the correlation map and demonstrate its value for diagnosis of benign and malignant breast tissues. Our methodology is based on highly sensitive quantitative phase imaging data obtained by spatial light interference microscopy (SLIM).

pathology↗