Automated Quantitative CD8+ Tumor-Infiltrating Lymphocytes and Tumor Mutation Burden as Independent Biomarkers in Melanoma Patients Receiving Front-Line Anti-PD-1 Immunotherapy

BACKGROUND

CD8+ tumor-infiltrating lymphocyte (TIL) predicts response to anti-PD-(L)1 therapy. However, there remains no standardized method to assess CD8+ TIL in melanoma, and developing a specific, cost-effective, reproducible, and clinically actionable biomarker to anti-PD-(L)1 remains elusive. We report on the development of automatic CD8+ TIL density quantification via whole slide image (WSI) analysis in advanced melanoma patients treated with front-line anti-PD-1 blockade, and correlation immunotherapy response.

METHODS

Seventy-eight patients treated with PD-1 inhibitors in the front-line setting between January 2015 and May 2023 at the University of Pittsburgh Cancer Institute were included. CD8+ TIL density was quantified using an image analysis algorithm on digitized WSI. Targeted next-generation sequencing (NGS) was performed to determine tumor mutation burden (TMB) in a subset of 62 patients. ROC curves were used to determine biomarker cutoffs and response to therapy. Correlation between CD8+ TIL density and TMB cutoffs and response to therapy was studied.

RESULTS

Higher CD8+ TIL density was significantly associated with improved response to front-line anti-PD-1 across all time points measured. CD8+ TIL density ≥222.9 cells/mm2 reliably segregated responders and non-responders to front-line anti-PD-1 therapy regardless of when response was measured. In a multivariate analysis, patients with CD8+ TIL density exceeding cutoff had significantly improved PFS with a trend toward improved OS. Similarly, increasing TMB was associated with improved response to anti-PD-1, and a cutoff of 14.70 Mut/Mb was associated with improved odds of response. The correlation between TMB and CD8+ TIL density was low, suggesting that each represented independent predictive biomarkers of response.

CONCLUSIONS

An automatic digital analysis algorithm provides a standardized method to quantify CD8+ TIL density, which predicts response to front-line anti-PD-1 therapy. CD8+ TIL density and TMB are independent predictors of response to anti-PD-1 blockade.

A maturity model for the scientific review of clinical trial designs and their informativeness

BACKGROUND

Informativeness, in the context of clinical trials, defines whether a study's results definitively answer its research questions with meaningful next steps. Many clinical trials end uninformatively. Clinical trial protocols are required to go through reviews in regulatory and ethical domains: areas that focus on specifics outside of trial design, biostatistics, and research methods. Private foundations and government funders rarely require focused scientific design reviews for these areas. There are no documented standards and processes, or even best practices, toward a capability for funders to perform scientific design reviews after their peer review process prior to a funding commitment.

MAIN BODY

Considering the investment in and standardization of ethical and regulatory reviews, and the prevalence of studies never finishing or failing to provide definitive results, it may be that scientific reviews of trial designs with a focus on informativeness offer the best chance for improved outcomes and return-on-investment in clinical trials. A maturity model is a helpful tool for knowledge transfer to help grow capabilities in a new area or for those looking to perform a self-assessment in an existing area. Such a model is offered for scientific design reviews of clinical trial protocols. This maturity model includes 11 process areas and 5 maturity levels. Each of the 55 process area levels is populated with descriptions on a continuum toward an optimal state to improve trial protocols in the areas of risk of failure or uninformativeness.

CONCLUSION

This tool allows for prescriptive guidance on next investments to improve attributes of post-funding reviews of trials, with a focus on informativeness. Traditional pre-funding peer review has limited capacity for trial design review, especially for detailed biostatistical and methodological review. Select non-industry funders have begun to explore or invest in post-funding review programs of grantee protocols, based on exemplars of such programs. Funders with a desire to meet fiduciary responsibilities and mission goals can use the described model to enhance efforts supporting trial participant commitment and faster cures.

CD8 + T-cell Density Is an Independent Predictor of Survival and Response to Adjuvant Chemotherapy in Stage III Colon Cancer

We assessed CD8 + T-cell density in 351 resected stage II to III colon cancers from 2011 to 2015 and correlated the findings with disease-free survival and survival effect of adjuvant chemotherapy. Most tumors (70%) had high/intermediate CD8 + T-cell density, and this was significantly associated with mismatch repair deficiency compared with tumors with low CD8 + T-cell density (28% vs. 13%, P =0.003). Fewer tumors with high/intermediate CD8 + T-cell density had adverse histologic features compared with tumors with low CD8 + T-cell density including high tumor budding (16% vs. 27%) and venous (22% vs. 35%), lymphatic (54% vs. 65%), and perineural (23% vs. 33%) invasion (all with P <0.05). In the stage III cohort, high/intermediate CD8 + T-cell density was an independent predictor of disease-free survival on multivariate analysis (hazard ratio: 0.39, 0.21 to 0.71 95% CI, P =0.002). For stage III patients with high/intermediate CD8 + T-cell density, adjuvant chemotherapy was significantly associated with improved disease-free survival (hazard ratio: 0.28, 0.11 to 0.74 95% CI, P =0.01) whereas stage III patients with low CD8 + T-cell density did not have improved survival with adjuvant chemotherapy. In conclusion, in stage III colon cancer, CD8 + T-cell density is an independent prognostic biomarker for disease-free survival and may help to identify patients who benefit from adjuvant chemotherapy.

Quantitative Pathologic Analysis of Digitized Images of Colorectal Carcinoma Improves Prediction of Recurrence-Free Survival

BACKGROUND & AIMS

To examine whether quantitative pathologic analysis of digitized hematoxylin and eosin slides of colorectal carcinoma (CRC) correlates with clinicopathologic features, molecular alterations, and prognosis.

METHODS

A quantitative segmentation algorithm (QuantCRC) was applied to 6468 digitized hematoxylin and eosin slides of CRCs. Fifteen parameters were recorded from each image and tested for associations with clinicopathologic features and molecular alterations. A prognostic model was developed to predict recurrence-free survival using data from the internal cohort (n = 1928) and validated on an internal test (n = 483) and external cohort (n = 938).

RESULTS

There were significant differences in QuantCRC according to stage, histologic subtype, grade, venous/lymphatic/perineural invasion, tumor budding, CD8 immunohistochemistry, mismatch repair status, KRAS mutation, BRAF mutation, and CpG methylation. A prognostic model incorporating stage, mismatch repair, and QuantCRC resulted in a Harrell's concordance (c)-index of 0.714 (95% confidence interval [CI], 0.702-0.724) in the internal test and 0.744 (95% CI, 0.741-0.754) in the external cohort. Removing QuantCRC from the model reduced the c-index to 0.679 (95% CI, 0.673-0.694) in the external cohort. Prognostic risk groups were identified, which provided a hazard ratio of 2.24 (95% CI, 1.33-3.87, P = .004) for low vs high-risk stage III CRCs and 2.36 (95% CI, 1.07-5.20, P = .03) for low vs high-risk stage II CRCs, in the external cohort after adjusting for established risk factors. The predicted median 36-month recurrence rate for high-risk stage III CRCs was 32.7% vs 13.4% for low-risk stage III and 15.8% for high-risk stage II vs 5.4% for low-risk stage II CRCs.

CONCLUSIONS

QuantCRC provides a powerful adjunct to routine pathologic reporting of CRC. A prognostic model using QuantCRC improves prediction of recurrence-free survival.

Application of deep learning models on whole slide images uncover new histological markers related to high-risk malignant pleural mesothelioma

e13580

Background: Malignant Pleural mesothelioma (MPM) is a highly aggressive cancer of the pleural surface and represents 80-90% of mesothelioma diagnosis. MPM is broadly subclassified into three histological subgroups (epithelioid, sarcomatoid, biphasic), however tissue heterogeneity has resulted in diagnostic challenges and suboptimal patient care. There are currently no specific histological markers of high/low-risk MPM patients, which is critical in predicting patient prognosis. Methods: Owkin developed MesoNet, a deep learning model that predicts overall survival (OS) of MPM patients from whole slide images (WSI) and trained on the French MESOBANK and TCGA cohorts (Courtiol et al, 2019). In this study, we sought to validate MesoNet’s performance on an independent cohort of 127 WSI stained with haematoxylin/eosin from MPM patients collected at the University of Pittsburgh as part of the National Mesothelioma Virtual Bank (funding by U24OH009077). Patient demographics, survival data, expertly curated pathology annotations were also collected. Results: Our analyses showed that MesoNet predicted OS as risk score based on WSI, which validated high-risk MPM patients exhibited poorer OS, as compared to low-risk patients. Analyses on histological subtypes revealed sarcomatoid and biphasic patients were overrepresented in high-risk groups, as compared to epithelioid patients, which correlates with observed OS data. Notably, histological features associated with high-risk patients revealed tumor pleomorphism and anaplastic nuclear features, whereas low-risk tiles appear to be enriched in tumor infiltrating lymphocytes (TILs) with accompanying stromal proliferation and dense fibrosis. Conclusions: Collectively, our studies validate MesoNet performance on an independent cohort and identify new features related to MPM risk groups, which may inform future treatment stratification and personalization of immunotherapies.

Ultrastructural visualization of chromatin in cancer pathogenesis using a simple small-molecule fluorescent probe

Imaging chromatin organization at the molecular-scale resolution remains an important endeavor in basic and translational research. Stochastic optical reconstruction microscopy (STORM) is a powerful superresolution imaging technique to visualize nanoscale molecular organization down to the resolution of ~20 to 30 nm. Despite the substantial progress in imaging chromatin organization in cells and model systems, its routine application on assessing pathological tissue remains limited. It is, in part, hampered by the lack of simple labels that consistently generates high-quality STORM images on the highly processed clinical tissue. We developed a fast, simple, and robust small-molecule fluorescent probe-cyanine 5-conjugated Hoechst-for routine superresolution imaging of nanoscale nuclear architecture on clinical tissue. We demonstrated the biological and clinical significance of imaging superresolved chromatin structure in cancer development and its potential clinical utility for cancer risk stratification.

Artificial Intelligence-Based Screening for Mycobacteria in Whole-Slide Images of Tissue Samples

OBJECTIVES

This study aimed to develop and validate a deep learning algorithm to screen digitized acid fast-stained (AFS) slides for mycobacteria within tissue sections.

METHODS

A total of 441 whole-slide images (WSIs) of AFS tissue material were used to develop a deep learning algorithm. Regions of interest with possible acid-fast bacilli (AFBs) were displayed in a web-based gallery format alongside corresponding WSIs for pathologist review. Artificial intelligence (AI)-assisted analysis of another 138 AFS slides was compared to manual light microscopy and WSI evaluation without AI support.

RESULTS

Algorithm performance showed an area under the curve of 0.960 at the image patch level. More AI-assisted reviews identified AFBs than manual microscopy or WSI examination (P < .001). Sensitivity, negative predictive value, and accuracy were highest for AI-assisted reviews. AI-assisted reviews also had the highest rate of matching the original sign-out diagnosis, were less time-consuming, and were much easier for pathologists to perform (P < .001).

CONCLUSIONS

This study reports the successful development and clinical validation of an AI-based digital pathology system to screen for AFBs in anatomic pathology material. AI assistance proved to be more sensitive and accurate, took pathologists less time to screen cases, and was easier to use than either manual microscopy or viewing WSIs.

Development and initial validation of a deep learning algorithm to quantify histological features in colorectal carcinoma including tumour budding/poorly differentiated clusters

AIMS

To develop and validate a deep learning algorithm to quantify a broad spectrum of histological features in colorectal carcinoma.

METHODS AND RESULTS

A deep learning algorithm was trained on haematoxylin and eosin-stained slides from tissue microarrays of colorectal carcinomas (N = 230) to segment colorectal carcinoma digitised images into 13 regions and one object. The segmentation algorithm demonstrated moderate to almost perfect agreement with interpretations by gastrointestinal pathologists, and was applied to an independent test cohort of digitised whole slides of colorectal carcinoma (N = 136). The algorithm correctly classified mucinous and high-grade tumours, and identified significant differences between mismatch repair-proficient and mismatch repair-deficient (MMRD) tumours with regard to mucin, inflammatory stroma, and tumour-infiltrating lymphocytes (TILs). A cutoff of >44.4 TILs per mm² carcinoma gave a sensitivity of 88% and a specificity of 73% in classifying MMRD carcinomas. Algorithm measures of tumour budding (TB) and poorly differentiated clusters (PDCs) outperformed TB grade derived from routine sign-out, and compared favourably with manual counts of TB/PDCs with regard to lymphatic, venous and perineural invasion. Comparable associations were seen between algorithm measures of TB/PDCs and manual counts of TB/PDCs for lymph node metastasis (all P < 0.001); however, stronger correlations were seen between the proportion of positive lymph nodes and algorithm measures of TB/PDCs. Stronger associations were also seen between distant metastasis and algorithm measures of TB/PDCs (P = 0.004) than between distant metastasis and TB (P = 0.04) and TB/PDC counts (P = 0.06).

CONCLUSIONS

Our results highlight the potential of deep learning to identify and quantify a broad spectrum of histological features in colorectal carcinoma.

Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association

We believe the switch to a digital pathology (DP) workflow is imminent and it is essential to understand the economic implications of conversion. Many aspects of the adoption of DP will be disruptive and have a direct financial impact, both in short term costs, such as investment in equipment and personnel, and long term revenue potential, such as improved productivity and novel tests. The focus of this whitepaper is to educate pathologists, laboratorians and other stakeholders about the business and monetary considerations of converting to a digital pathology workflow. The components of a DP business plan will be thoroughly summarized, and guidance will be provided on how to build a case for adoption and implementation as well as a roadmap for transitioning from an analog to a digital pathology workflow in various laboratory settings. It is important to clarify that this publication is not intended to list prices although some financials will be mentioned as examples. The authors encourage readers who are evaluating conversion to a DP workflow to use this paper as a foundational guide for conducting a thorough and complete assessment while incorporating in current market pricing. Contributors to this paper analyzed peer-reviewed literature and data collected from various institutions, some of which are mentioned. Digital pathology will change the way we practice through facilitating patient access to expert pathology services and enabling image analysis tools and assays to aid in diagnosis, prognosis, risk stratification and therapeutic selection. Together, they will result in the delivery of valuable information from which to make better decisions and improve the health of patients.

Peripheral Blood Eosinophilia and Long-term Severity in Pediatric-Onset Inflammatory Bowel Disease

BACKGROUND

Peripheral blood eosinophilia (PBE) is a biomarker of an aggressive multiyear natural history in adults with inflammatory bowel diseases (IBDs). Additionally, PBE at diagnosis is associated with higher disease activity in pediatric-onset IBD. We sought to determine if PBE can function as a biomarker of long-term disease severity in pediatric-onset IBD patients who are followed into adulthood.

METHODS

We analyzed a consented, prospective, natural history IBD registry at an adult tertiary center from 2009 to 2018. Prevalence of PBE was evaluated in both pediatric- and adult-onset IBD patients. Demographics, clinical characteristics, and health care utilization data were compared in patients with and without PBE.

RESULTS

Among 2800 adult IBD patients, 23.4% had pediatric-onset disease. PBE was found in 34% of the pediatric-onset patients compared with 26.8% of the adult-onset IBD patients (P < 0.001). In the pediatric-onset IBD cohort, PBE was associated with higher rates of allergies (P < 0.0001), but not of asthma, allergic rhinitis, or primary sclerosing cholangitis. In the adult IBD patients with pediatric-onset disease, PBE was associated with higher rates of C-reactive protein elevation (P < 0.0001), erythrocyte sedimentation rate elevation (P < 0.0001), higher health care utilization, and higher average health care charges per year (P < 0.00001).

CONCLUSIONS

Peripheral blood eosinophilia was more prevalent in adult IBD patients with pediatric-onset compared with adult-onset disease. Among all IBD patients with long-term follow-up, PBE defined a subgroup with more severe illness. These data suggest that PBE may be a biomarker for a high-risk subgroup with high cost trajectory and long-term severity in pediatric-onset IBD that persists into adulthood.

Accuracy and efficiency of an artificial intelligence tool when counting breast mitoses

BACKGROUND

The mitotic count in breast carcinoma is an important prognostic marker. Unfortunately substantial inter- and intra-laboratory variation exists when pathologists manually count mitotic figures. Artificial intelligence (AI) coupled with whole slide imaging offers a potential solution to this problem. The aim of this study was to accordingly critique an AI tool developed to quantify mitotic figures in whole slide images of invasive breast ductal carcinoma.

METHODS

A representative H&E slide from 320 breast invasive ductal carcinoma cases was scanned at 40x magnification. Ten expert pathologists from two academic medical centers labeled mitotic figures in whole slide images to train and validate an AI algorithm to detect and count mitoses. Thereafter, 24 readers of varying expertise were asked to count mitotic figures with and without AI support in 140 high-power fields derived from a separate dataset. Their accuracy and efficiency of performing these tasks were calculated and statistical comparisons performed.

RESULTS

For each experience level the accuracy, precision and sensitivity of counting mitoses by users improved with AI support. There were 21 readers (87.5%) that identified more mitoses using AI support and 13 reviewers (54.2%) that decreased the quantity of falsely flagged mitoses with AI. More time was spent on this task for most participants when not provided with AI support. AI assistance resulted in an overall time savings of 27.8%.

CONCLUSIONS

This study demonstrates that pathology end-users were more accurate and efficient at quantifying mitotic figures in digital images of invasive breast carcinoma with the aid of AI. Higher inter-pathologist agreement with AI assistance suggests that such algorithms can also help standardize practice. Not surprisingly, there is much enthusiasm in pathology regarding the prospect of using AI in routine practice to perform mundane tasks such as counting mitoses.

Prognostic significance of microscopic size in peripherally located scar-associated clinical stage I lung carcinomas

OBJECTIVES

Staging of non-small cell lung carcinoma associated with scar is not discussed in detail in the current American Joint Committee on Cancer staging manual. The recommendation is to include the scar area in the tumor size measurement unless the tumor represents a small focus at the edge of the scar. The aim of this study is to investigate if subtraction of the size of the central scar from the total gross size of surgically resected peripheral clinical stage I non-small cell lung carcinoma improves patient stratification into more accurate prognostic groups.

MATERIALS AND METHODS

Hematoxylin and eosin sections of 148 non-small cell lung carcinomas (98 adenocarcinomas and 50 squamous cell carcinomas) were reviewed, including 44 adenocarcinomas and 9 squamous cell carcinomas with scar and 54 adenocarcinomas and 41 squamous cell carcinomas without scar. The microscopic size of the invasive tumor component was determined after the average percentage of scar tissue was subtracted from the grossly measured tumor diameter. Manual results were compared to digital image analysis.

RESULTS

Adenocarcinoma with scar were associated with better overall (80.5 % vs. 63.2 %, p = 0.026) and cancer specific survival (95.2 % vs. 73.3 %, p = 0.0053) when compared to adenocarcinoma without scar. Better cancer specific survival was observed in acinar and papillary predominant adenocarcinoma (95.8 % with scar vs. 67.8 % without scar, p = 0.01); while similar trend although not statistically significant was observed in adenocarcinomas with solid or micropapillary component. Using microscopic size, pathologic T stage was down-staged in 21 adenocarcinomas. Squamous cell carcinoma with or without scar did not show a difference in survival. Manual and quantitative image analysis showed strong correlation (r = 0.9769, p < 0.0001).

CONCLUSION

Our study suggests that microscopic size of the invasive component in acinar and papillary predominant adenocarcinoma with scar might be a better predictor of survival than the total gross size.

A-31 Trails-X Trail-Level Performance Using the Profile Variability Index

Objective

The Trails-X is a new type of trail-making test that emphasizes executive function and does not require either literacy or numeracy. The purpose of this study was to examine performance variability across trails.

Method

Participants were the Trails-X standardization sample and individuals with traumatic brain injury (TBI), learning disabilities (LD), intellectual disabilities (ID), attention-deficit hyperactivity disorder (ADHD), and dementia. Trail-level performance was assessed via the mean Matrix, Connected Circles, and Time to Discontinue scores across trails. The Profile Variability Index (PVI) was calculated (Plake, Reynolds, & Gutkin, 1981) and clinical groups and standardization samples were compared via a one-way ANOVA.

Results

Across all trails, the mean Matrix score was 6 (possible range = 1-12) for the standardization sample and as low as 3 for the dementia and ID samples. The mean Connected Circles score was 16 (possible range = 0-22) and as low as 12 for the dementia sample. The mean Time to Discontinue score was 39 seconds (possible range = 1-75) and as high as 55 for the dementia sample. There was a statistically significant difference on the PVI score (F(5,845) = 6.921, p = .000). The dementia (M = 4.77) and ID (M = 5.11) samples had significantly lower (p < .05) PVI scores than the other samples, which were not significantly different from each other.

Conclusions

The dementia and ID samples were characterized by consistently low performance while the other samples were characterized by moderate amounts of variability, indicating that some variability across trails should be expected within less impaired individuals.

Logical Observation Identifiers Names and Codes for Laboratorians

CONTEXT.—

The Logical Observation Identifiers Names and Codes (LOINC) system is supposed to facilitate interoperability, and it is the federally required code for exchanging laboratory data.

OBJECTIVE.—

To provide an overview of LOINC, emerging issues related to its use, and areas relevant to the pathology laboratory, including the subtleties of test code selection and importance of mapping the correct codes to local test menus.

DATA SOURCES.—

This review is based on peer-reviewed literature, federal regulations, working group reports, the LOINC database (version 2.65), experience using LOINC in the laboratory at several large health care systems, and insight from laboratory information system vendors.

CONCLUSIONS.—

The current LOINC database contains more than 55 000 numeric codes specific for laboratory tests. Each record in the LOINC database includes 6 major axes/parts for the unique specification of each individual observation or measurement. Assigning LOINC codes to a laboratory's test menu should be a defined process. In some cases, LOINC can aid in distinguishing laboratory data among different information systems, whereby such benefits are not achievable by relying on the laboratory test name alone. Criticisms of LOINC include the complexity and resource-intensive process of selecting the most correct code for each laboratory test, the real-world experience that these codes are not uniformly assigned across laboratories, and that 2 tests that may have the same appropriately assigned LOINC code may not necessarily have equivalency to permit interoperability of their result data. The coding system's limitations, which subsequently reduce the potential utility of LOINC, are poorly understood outside of the laboratory.

The cross-talk between infiltrating macrophages and inflamed or malignant colonic epithelium promotes overexpression of ST6GALNAC1 and epithelial MUC1 tumor form MUC1-sTn

Patients with inflammatory bowel disease (IBD) have an increased risk of developing colitis-associated colon cancer (CACC). Despite the strong relationship between inflammation and cancer, the mechanistic events that contribute to the transition from IBD to CACC remain undefined. Changes in the glycosylation profile of the known oncoprotein MUC1 commonly occur in chronic inflammation and may facilitate progression to cancer. We used a transwell coculture model system to examine the effect of polarized macrophages, such as those contributing to inflammation, on the expression of glycosylation-related enzymes in colon cancer cells. We found that M2-like macrophages induce the expression of ST6GALNAC1 glycosyltransferase which, by adding sialic acid to O-linked GalNAc residues, promotes the formation of the tumor-associated MUC1-sTn glycoform. Cytokine antibody arrays and blocking antibody experiments revealed that high levels of IL-13 and CCL17, present in the conditioned medium of colon cells cocultured with M2 macrophages, activate ST6GALNAC1 expression in colon cancer cells. In silico and in vivo murine and human models of colitis and CACC showed that IL-13 induces the phosphorylation of STAT-6 that directly binds ST6GALNAC1 promoter resulting in its transcription activation and protein over-expression. On the other hand, CCL17 activates ST6GALNAC1 expression via NF-kB pathway signaling. Our findings revealed a novel cross-talk between M2-like macrophages and inflamed and malignant colon cells that contributes to the pathogenesis of colitis and progression to CACC.

Tumor-resident macrophages modulate intestinal barrier function through sialylation of Mucin 1 in IBD and colitis-associated cancer

Mucin 1 (MUC1) is a transmembrane glycoprotein overexpressed and hypoglycosylated in chronic inflammatory conditions and human adenocarcinoma compared to healthy tissues. We have reported that AOM/DSS-treated human MUC1.Tg mice showed higher tumor incidence and greater inflammation when compared to wild-type (WT) mice. Moreover, high expression levels of pro-inflammatory cytokines, including TNF-α and IL-6, were found in MUC1+ inflamed colon tissues and exogenous TNF-α promoted the transcriptional activity of MUC1 as well as over-expression of its hypoglycosylated form. As macrophages are the major source of TNF-α and IL-6, we analyzed infiltrating type 1 (M1) and type 2 (M2) macrophages into the inflamed and tumorigenic colon tissues. Immunofluorescence assay indicated increased presence of macrophages, and in particular CD206+ (M2), in inflamed colon tissues of MUC1.Tg mice compared to WT mice. In addition, immunostaining of macrophages in colon tissues from IBD patients showed expression of hypoglycosylated MUC1 and the presence of macrophages expressing CD163+, a human M2 marker. Interestingly, in vitro co-culture model system indicated that M1 and M2 polarized macrophages, induced different glycoforms of MUC1 in HT-29 colon cancer cells. In addition, macrophage-secreted factors modulated glycosyltrasferase enzymes, sush as ST6GalNAc1 and ST3GAL1, involved in O-glycan sialylation. We are currently dissecting the molecular basis by which macrophages induced hypoglycosylated and tumor forms of MUC1 during inflammation and colitis-associated cancer (CAC). Our findings will elucidate novel functions of tumor-associated macrophages in altering the intestinal barrier function in IBD and CAC.

Postviral Olfactory Dysfunction

Seventeen patients with varying degrees of olfactory dysfunction were studied at the Rocky Mountain Taste and Smell Center in Denver, Colorado. Detailed chemosensory testing was carried out, followed by biopsy of the olfactory mucosa. Ultrastructural study of the biopsies revealed near-complete degeneration of the ciliated olfactory receptors of anosmic patients and reduced populations of ciliated olfactory receptors in the hyposmic patients. Based upon these observations, it is postulated that upper respiratory infection can produce a spectrum of histopathologic change in the olfactory epithelium which can be correlated with afunctional deficit. The clinical implications of these observations are discussed.

Adaptive Biomedical Innovation: Evolving Our Global System to Sustainably and Safely Bring New Medicines to Patients in Need

The current system of biomedical innovation is unable to keep pace with scientific advancements. We propose to address this gap by reengineering innovation processes to accelerate reliable delivery of products that address unmet medical needs. Adaptive biomedical innovation (ABI) provides an integrative, strategic approach for process innovation. Although the term "ABI" is new, it encompasses fragmented "tools" that have been developed across the global pharmaceutical industry, and could accelerate the evolution of the system through more coordinated application. ABI involves bringing stakeholders together to set shared objectives, foster trust, structure decision-making, and manage expectations through rapid-cycle feedback loops that maximize product knowledge and reduce uncertainty in a continuous, adaptive, and sustainable learning healthcare system. Adaptive decision-making, a core element of ABI, provides a framework for structuring decision-making designed to manage two types of uncertainty - the maturity of scientific and clinical knowledge, and the behaviors of other critical stakeholders.

Citrulline as a Biomarker for Gastrointestinal-Acute Radiation Syndrome: Species Differences and Experimental Condition Effects

Animal models of hematopoietic and gastrointestinal acute radiation syndromes (ARS) have been characterized to develop medical countermeasures. Acute radiation-induced decrease of intestinal absorptive function has been correlated to a decrease in the number of intestinal crypt cells resulting from apoptosis and enterocyte mass reduction. Citrulline, a noncoded amino acid, is produced almost exclusively by the enterocytes of the small intestine. Citrullinemia has been identified as a simple, sensitive and suitable biomarker for radiation-induced injury associated with gastrointestinal ARS (GI-ARS). Here we discuss the effect of radiation on plasma citrulline levels in three different species, C57BL/6 mice, Göttingen minipigs and rhesus nonhuman primates (NHPs), measured by liquid chromatography tandem mass spectrometry (LC-MS/MS). The effects of experimental study conditions such as feeding and anesthesia were also examined on plasma citrulline levels in the NHPs. Both the mice and Göttingen minipigs were partial-body irradiated (PBI) with doses from 13-17 Gy and 8-16 Gy, respectively, whereas NHPs were total-body irradiated (TBI) with doses from 6.72-13 Gy. Blood samples were taken at different time points and plasma citrulline levels were measured in the three species at baseline and after irradiation. Basal plasma citrulline concentrations (mean ± SEM) in mice and minipigs were 57.8 ± 2.8 μM and 63.1 ± 2.1 μM, respectively. NHPs showed a basal plasma citrulline concentration of 32.6 ± 0.7 μM, very similar to that of humans (∼40 μM). Plasma citrulline progressively decreased after irradiation, reaching nadir values between day 3.5 and 7. The onset of citrulline recovery was observed earlier at lower radiation doses, while only partial citrulline recovery was noted at higher radiation doses in minipigs and NHPs, complete recovery was noted in mice at all doses. Plasma citrulline levels in NHPs anesthetized with ketamine and acepromazine significantly decreased by 35.5% (P = 0.0017), compared to unanesthetized NHPs. In the postprandial state, citrulline concentrations in NHPs were slightly but significantly decreased by 12.2% (P = 0.0287). These results suggest that plasma citrulline is affected by experimental conditions such as anesthesia and feeding.

Glycan motif profiling reveals plasma sialyl-lewis x elevations in pancreatic cancers that are negative for sialyl-lewis A

The sialyl-Lewis A (sLeA) glycan forms the basis of the CA19-9 assay and is the current best biomarker for pancreatic cancer, but because it is not elevated in ∼25% of pancreatic cancers, it is not useful for early diagnosis. We hypothesized that sLeA-low tumors secrete glycans that are related to sLeA but not detectable by CA19-9 antibodies. We used a method called motif profiling to predict that a structural isomer of sLeA called sialyl-Lewis X (sLeX) is elevated in the plasma of some sLeA-low cancers. We corroborated this prediction in a set of 48 plasma samples and in a blinded set of 200 samples. An antibody sandwich assay formed by the capture and detection of sLeX was elevated in 13 of 69 cancers that were not elevated in sLeA, and a novel hybrid assay of sLeA capture and sLeX detected 24 of 69 sLeA-low cancers. A two-marker panel based on combined sLeA and sLeX detection differentiated 109 pancreatic cancers from 91 benign pancreatic diseases with 79% accuracy (74% sensitivity and 78% specificity), significantly better than sLeA alone, which yielded 68% accuracy (65% sensitivity and 71% specificity). Furthermore, sLeX staining was evident in tumors that do not elevate plasma sLeA, including those with poorly differentiated ductal adenocarcinoma. Thus, glycan-based biomarkers could characterize distinct subgroups of patients. In addition, the combined use of sLeA and sLeX, or related glycans, could lead to a biomarker panel that is useful in the clinical diagnosis of pancreatic cancer. Précis: This paper shows that a structural isomer of the current best biomarker for pancreatic cancer, CA19-9, is elevated in the plasma of patients who are low in CA19-9, potentially enabling more comprehensive detection and classification of pancreatic cancers.

Recurrent blood eosinophilia in ulcerative colitis is associated with severe disease and primary sclerosing cholangitis

BACKGROUND AND AIMS

Eosinophils are implicated in the pathogenesis of inflammatory bowel disease (IBD). A subset of IBD patients develops blood eosinophilia, and the clinical profile of these patients is undefined. We sought to characterize IBD patients with and without eosinophilia.

METHODS

We studied a prospective registry of 1,176 IBD patients followed in a tertiary referral center. Patients who developed eosinophilia at any time were identified by electronic medical record query. We performed a chart review case-control study comparing patients with recurrent eosinophilia versus randomly selected disease-matched patients with no history of eosinophilia. Histological analysis was performed on selected cases and controls.

RESULTS

Eosinophilia at any time was more prevalent in ulcerative colitis (UC) patients than Crohn's disease patients (22.2 versus 12.7%), as was recurrent eosinophilia (3.4 versus 0.7%). UC patients with recurrent eosinophilia were predominantly male compared with the control UC population (81.3 versus 46.9%) and had higher rates of colectomy for either medically refractory disease or dysplasia/cancer than control UC patients (56.3 versus 15.6%). Primary sclerosing cholangitis (PSC) occurred in 37.5% of UC patients with recurrent eosinophilia compared with only 3.1% in the UC controls. Histological analysis of random diagnostic samples from UC patients with recurrent eosinophilia demonstrated a normal eosinophil pattern as seen in the control UC population.

CONCLUSIONS

Eosinophilia-associated UC is a subgroup of IBD associated with severe colitis and PSC. Further studies are warranted to characterize molecular mechanisms underlying eosinophilia-associated UC and to determine optimal approaches for therapy.

Small-world topology of functional connectivity in randomly connected dynamical systems

Characterization of real-world complex systems increasingly involves the study of their topological structure using graph theory. Among global network properties, small-world property, consisting in existence of relatively short paths together with high clustering of the network, is one of the most discussed and studied. When dealing with coupled dynamical systems, links among units of the system are commonly quantified by a measure of pairwise statistical dependence of observed time series (functional connectivity). We argue that the functional connectivity approach leads to upwardly biased estimates of small-world characteristics (with respect to commonly used random graph models) due to partial transitivity of the accepted functional connectivity measures such as the correlation coefficient. In particular, this may lead to observation of small-world characteristics in connectivity graphs estimated from generic randomly connected dynamical systems. The ubiquity and robustness of the phenomenon are documented by an extensive parameter study of its manifestation in a multivariate linear autoregressive process, with discussion of the potential relevance for nonlinear processes and measures.

Effects on platelet function of an EP3 receptor antagonist used alone and in combination with a P2Y12 antagonist both in-vitro and ex-vivo in human volunteers

EP3 receptor antagonists may provide a new approach to the treatment of atherothrombotic disease by blocking the ability of prostaglandin E2 (PGE2) to promote platelet function acting via EP3 receptors. DG-041 is an EP3 antagonist in the early stage of clinical development. Here, we quantitated effects on platelet function of DG-041 in-vitro and ex-vivo after administration to man when given alone and concomitantly with clopidogrel or clopidogrel and aspirin. With its unique mechanism of action, it was anticipated that DG-041 would potentiate inhibition of platelet function when given in combination with clopidogrel without materially increasing bleeding time. Initially, in-vitro studies were performed to determine inhibitory effects of DG-041 (3 µM) used alone or in combination with the P2Y12 antagonist cangrelor (1 µM), both without and with aspirin (100 µM). Platelet aggregation and P-selectin expression were measured in whole blood (n = 10) following stimulation with the thromboxane A2 (TXA2) mimetic U46619 (0.3 or 1 µM) in combination with either the EP3 agonist sulprostone (0.1 µM), or PGE2 (1 µM). DG-041 alone partially inhibited platelet function in-vitro, as did cangrelor. Addition of both DG-041 and cangrelor in combination provided significantly greater inhibition. An ex-vivo study was then performed using the same experimental approaches. This clinical study was a prospective, randomised, blinded (for DG-041/matching placebo), blocked, crossover study designed to compare the effects of DG-041, clopidogrel, or the combination of DG-041 with either clopidogrel or clopidogrel and aspirin. Healthy volunteers (n = 42) were randomly assigned to receive no background treatment, clopidogrel (300 mg loading dose plus 75 mg daily) or clopidogrel and aspirin (75 mg daily) for 10 days alongside DG-041 (200 mg twice daily) or placebo for 5 days, crossed over to placebo or DG-041 for the next 5 days. Platelet effects and bleeding time were measured at baseline, days 5 and 10. DG-041 partially inhibited platelet function ex-vivo, as did clopidogrel, while administration of both DG-041 and clopidogrel provided significantly greater inhibition. Administration of DG-041 alone did not increase bleeding time, and did not significantly affect the increased bleeding time seen with clopidogrel or clopidogrel with aspirin. Using these experimental approaches, the antiplatelet effects of DG-041 and a P2Y12 antagonist used alone and in combination can be determined both in-vitro and ex-vivo. Results show inhibitory effects of DG-041 on platelet function acting via EP3 receptor blockade, confirmed to be additional to those brought about by P2Y12 blockade. In both in-vitro and ex-vivo studies, aspirin neither promoted nor negated the effects of the other drugs.

Use of optical biomarkers from nondysplastic metaplastic cells on the detection of high-grade dysplasia and adenocarcinoma from Barrett’s esophagus

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Background: Patients with Barrett’s esophagus (BE), defined as presence of intestinal metaplasia (IM) in the esophagus, require surveillance due to an increased risk of developing esophageal adenocarcinoma (EAC). The biggest challenge in the current surveillance methodology (i.e., Seattle protocol) is random sampling with the inability to identify those patients with non-dysplastic BE on surveillance who have occult high grade dysplasia (HGD) or will eventually progress to HGD or EAC. We propose a novel approach based on the concept of field effect to detect HGD or EAC through the analysis of non-dysplastic IM, thus identifying a high risk BE population. Our group uses a unique microscope – spatial-domain low-coherence quantitative phase microscopy (SL-QPM) to detect changes in nuclear structure as small as 0.9 nm, a scale 1000 times smaller than what conventional microscopy detects. We hypothesize that the SL-QPM-derived optical biomarkers of non-dysplastic IM would distinguish BE patients with EAC/HGD from those without neoplasia.

Methods: We performed a retrospective study of 60 BE patients who underwent Seattle protocol biopsies: 33 BE patients with IM only and 27 BE patients with HGD or EAC (21 HGD, 6 EAC). H&E stained slides with non-dysplastic IM on review by an expert pathologist were used. The distance between the selected IM biopsy and HGD/EAC was 1 to 4 cm. Forty to 60 columnar cells from each case were analyzed.

Results: We identified three optical biomarkers (nuclear optical path length, intra-nuclear uniformity, entropy) that can distinguish non-dysplastic BE from patients with HGD and EAC with statistical significance (P < 0.01). A prediction model combining all three optical biomarkers can distinguish BE patients with HGD/EAC from those with IM only at 89% sensitivity and 76% specificity (accuracy = 0.87).

Conclusions: The accurate assessment of nanoscale optical biomarkers by SL-QPM is a promising approach for detecting dysplastic/neoplastic Barrett’s epithelium from non-dysplastic IM. This approach could potentially simplify BE surveillance by identifying a subset of high-risk BE patients that warrant intensive surveillance.

The role of nonlinearity in computing graph-theoretical properties of resting-state functional magnetic resonance imaging brain networks

In recent years, there has been an increasing interest in the study of large-scale brain activity interaction structure from the perspective of complex networks, based on functional magnetic resonance imaging (fMRI) measurements. To assess the strength of interaction (functional connectivity, FC) between two brain regions, the linear (Pearson) correlation coefficient of the respective time series is most commonly used. Since a potential use of nonlinear FC measures has recently been discussed in this and other fields, the question arises whether particular nonlinear FC measures would be more informative for the graph analysis than linear ones. We present a comparison of network analysis results obtained from the brain connectivity graphs capturing either full (both linear and nonlinear) or only linear connectivity using 24 sessions of human resting-state fMRI. For each session, a matrix of full connectivity between 90 anatomical parcel time series is computed using mutual information. For comparison, connectivity matrices obtained for multivariate linear Gaussian surrogate data that preserve the correlations, but remove any nonlinearity are generated. Binarizing these matrices using multiple thresholds, we generate graphs corresponding to linear and full nonlinear interaction structures. The effect of neglecting nonlinearity is then assessed by comparing the values of a range of graph-theoretical measures evaluated for both types of graphs. Statistical comparisons suggest a potential effect of nonlinearity on the local measures-clustering coefficient and betweenness centrality. Nevertheless, subsequent quantitative comparison shows that the nonlinearity effect is practically negligible when compared to the intersubject variability of the graph measures. Further, on the group-average graph level, the nonlinearity effect is unnoticeable.

The contribution of DNA to the disaster victim identification (DVI) effort

As part of the disaster victim identification (DVI) response to the 2009 Victorian bushfires disaster, a number of scientific disciplines contributed to the human identification process--forensic pathology, anthropology and odontology, as well as fingerprinting and DNA profiling. The DNA laboratory received 182 post-mortem (PM) samples from 120 DVI cases and 236 reference samples corresponding to 163 missing persons (and two non-DVI cases). DNA analysis yielded full DNA profiles for 102 DVI cases and 190 ante-mortem (AM) samples (relating to all 163 missing persons), respectively. Subsequent comparison of DNA profiles, through direct and kinship matching, resulted in the submission of 76 DNA reports to the DVI Reconciliation Centre which assisted in the identification of 67 deceased. This paper describes the contribution of DNA analysis towards the DVI response to the 2009 Victorian bushfires disaster.

The importance of Guthrie cards and other medical samples for the direct matching of disaster victims using DNA profiling

The identification of disaster victims through the use of DNA analysis is an integral part of any Disaster Victim Identification (DVI) response, regardless of the scale and nature of the disaster. As part of the DVI response to the 2009 Victorian Bushfires Disaster, DNA analysis was performed to assist in the identification of victims through kinship (familial matching to relatives) or direct (self source sample) matching of DNA profiles. Although most of the DNA identifications achieved were to reference samples from relatives, there were a number of DNA identifications (12) made through direct matching. Guthrie cards, which have been collected in Australia over the past 30 years, were used to provide direct reference samples. Of the 236 ante-mortem (AM) samples received, 21 were Guthrie cards and one was a biopsy specimen; all yielding complete DNA profiles when genotyped. This publication describes the use of such Biobanks and medical specimens as a sample source for the recovery of good quality DNA for comparisons to post-mortem (PM) samples.

Isolation and characterization of class II myosin genes from Haemonchus contortus

In this study, cDNAs encoding myosin from the parasitic nematode Haemonchus contortus were isolated and characterized. Several exhibited a considerable degree of sequence variation at the nucleotide and limited divergence at the amino acid levels within the various functional domains. The results suggest that the cDNAs isolated represented a single myosin heavy chain, which, by comparison with a number of other myosins, is inferred to represent a homologue of a muscle myosin (CeMHCA) of the free-living nematode Caenorhabditis elegans. The findings could have implications for investigating cytoskeletal dynamics and/or signalling pathways.

Class II myosins in nematodes — genetic relationships, fundamental and applied implications

Myosins are represented by a wide range of different classes of molecule, of which the most extensively studied are the class II myosins which drive muscle contraction and cell organization; the functional unit of class II myosins comprises two myosin heavy chains (MHCs). This minireview gives an update on class II MHCs of nematodes and describes a comparative analysis of MHC genes from nematodes and other organismal groups. Genetic analyses of sequence data for the four functional domains of MHCs (i.e., the SH3-like N-terminal, head, neck and tail domains) reveal a delineation between both the nematode and non-nematode myosins and between muscle and non-muscle myosins. The distinctiveness of the MHCs of nematodes suggests functional and tissue specialization. The elucidation of the functional roles of myosins and other molecules in specific signaling pathways in nematodes has the potential to lead to new intervention strategies for parasites via the specific disruption or interruption of key developmental processes, having biotechnological implications in the longer term.

Xbra3 elicits the production of neural tissue by a non-BMP-dependent mechanism in Xenopus sp

Ectoderm cells in animal caps from Xenopus embryos develop to form either epidermis or neural tissue depending upon their receipt of intercellular signals. To date, several secreted neural inducers have been identified which act through the local inhibition of bone morphogenetic protein (BMP) signaling, preventing differentiation to epidermis and resulting in adoption of neural fate. In this work, we have exploited an interspecies animal cap assay, which enables detection of the effects of signaling molecules produced by cells of one animal cap and influencing development in a second cap cultured in close apposition in a Holtfreter combination. We show that expression of the T-box protein, Xbra3, in one cap causes the production of a factor, which causes adoption of neural fate by cells of the other animal cap. The action of this factor is not inhibited by the over-expression of BMP in cells of the responding animal cap, or by the inhibition of Wnt signaling. These findings suggest the existence of a secreted signaling molecule that is able to induce ectodermal cells to adopt neural fate by a mechanism independent of the inhibition of the BMP or Wnt signaling pathways.

Two US practitioners' experience of using essential oils for wound care

Though essential oils are a proven antiseptic, little work has investigated their use on chronic wounds. This article describes the progress and problems of a small study of five patients, who were treated with lavender and chamomile essential oils.

An evaluation of selenium concentrations in water, sediment, invertebrates, and fish from the Republican River Basin: 1997-1999

The Republican River Basin of Colorado, Nebraska, and Kansas lies in a valley which contains Pierre Shale as part of its geological substrata. Selenium is an indigenous constituent in the shale and is readily leached into surrounding groundwater. The Basin is heavily irrigated through the pumping of groundwater, some of which is selenium-contaminated, onto fields in agricultural production. Water, sediment, benthic invertebrates, and/or fish were collected from 46 sites in the Basin and were analyzed for selenium to determine the potential for food-chain bioaccumulation, dietary toxicity, and reproductive effects of selenium in biota. Resulting selenium concentrations were compared to published guidelines or biological effects thresholds. Water from 38% of the sites (n = 18) contained selenium concentrations exceeding 5 microg L(-1), which is reported to be a high hazard for selenium accumulation into the planktonic food chain. An additional 12 sites (26% of the sites) contained selenium in water between 3-5 microg L(-1), constituting a moderate hazard. Selenium concentrations in sediment indicated little to no hazard for selenium accumulation from sediments into the benthic food chain. Ninety-five percent of benthic invertebrates collected exhibited selenium concentrations exceeding 3 microg g(-1), a level reported as potentially lethal to fish and birds that consume them. Seventy-five percent of fish collected in 1997, 90% in 1998, and 64% in 1999 exceeded 4 microg g(-1) selenium, indicating a high potential for toxicity and reproductive effects. However, examination of weight profiles of various species of collected individual fish suggested successful recruitment in spite of selenium concentrations that exceeded published biological effects thresholds for health and reproductive success. This finding suggested that universal application of published guidelines for selenium may be inappropriate or at least may need refinement for systems similar to the Republican River Basin. Additional research is needed to determine the true impact of selenium on fish and wildlife resources in the Basin.

Analysis of developmentally regulated genes of the parasite Haemonchus contortus

Differential regulation of gene expression in the development of Haemonchus contortus was analysed using RNA arbitrarily-primed PCR. A study of third-stage larval and adult H. contortus revealed large differences between the two stages; 32 and 30% unique third-stage larval and adult RNA arbitrarily-primed PCR products, respectively. This finding is consistent with a high degree of differential gene expression between these developmental stages. A number of adult products were sequenced, revealing 11 molecules to be similar to deposits within sequence databases. Four other molecules that did not have significant similarity to sequences in the databases may represent developmentally regulated genes specific to H. contortus. Northern analysis of the putative adult-expressed molecules with homologues in the databases confirmed that four were expressed only in adults, while four were expressed in both stages, but had different sized transcripts. This may reflect differential splicing, or expression of closely related but different molecules at different life cycle stages. Two molecules were present in mRNA populations from both stages, suggesting these were false stage-associated molecules. No transcript was detected for one molecule by Northern analysis, probably due to low level of expression. In situ hybridisation analysis was used to localise expression of transcripts in the adult parasite, in particular, to gain some insight into the nature of those molecules with no known predicted function.

Is there a dissociative process in sleepwalking and night terrors?

The enduring and contentious hypothesis that sleepwalking and night terrors are symptomatic of a protective dissociative mechanism is examined. This is mobilised when intolerable impulses, feelings and memories escape, within sleep, the diminished control of mental defence mechanisms. They then erupt but in a limited motoric or affective form with restricted awareness and subsequent amnesia for the event. It has also been suggested that such processes are more likely when the patient has a history of major psychological trauma. In a group of 22 adult patients, referred to a tertiary sleep disorders service with possible sleepwalking/night terrors, diagnosis was confirmed both clinically and polysomnographically, and only six patients had a history of such trauma. More commonly these described sleepwalking/night terrors are associated with vivid dream-like experiences or behaviour related to flight from attack. Two such cases, suggestive of a dissociative process, are described in more detail. The results of this study are presented largely on account of the negative findings. Scores on the dissociation questionnaire (DIS-Q) were normal, although generally higher in the small "trauma" subgroup. These were similar to scores characterising individuals with post-traumatic stress disorder. This "trauma" group also scored particularly highly on the anxiety, phobic, and depression scales of the Crown-Crisp experiential index. In contrast the "no trauma" group scored more specifically highly on the anxiety scale, along with major trends to high depression and hysteria scale scores. Two cases are presented which illustrate exceptional occurrence of later onset of sleepwalking/night terrors with accompanying post-traumatic symptoms during wakefulness. It is concluded that a history of major psychological trauma exists in only a minority of adult patients presenting with sleepwalking/night terror syndrome. In this subgroup trauma appears to dictate the subsequent content of the attacks. However, the symptoms express themselves within the form of the sleepwalking/night terror syndrome rather than as rapid eye movement sleep related nightmares. The main group of subjects with the syndrome and with no history of major psychological trauma show no clinical or DIS-Q evidence of dissociation during wakefulness. The proposition that, within the character structure of this group, the mechanism still operates but exclusively within sleep remains a possibility.

Bone density of women who have recovered from anorexia nervosa

OBJECTIVE

To examine bone density in 19 women who had previously experienced classical anorexia nervosa from which they had been fully recovered for a mean of 21 years (current characteristics: median age 40.2 years; Eating Attitudes Test [EAT] score 2; body mass index [BMI] 21.1; average 1.8 offspring).

METHOD

Probands were compared, blindly, in respect of bone density, with 13 control subjects matched for age and sex and with no history of eating disorders. Dual energy X-ray absorptiometry (DXA) was used to evaluate the bone mineral density (BMD) of the lumbar spine and the head of the femur.

RESULTS

Femur BMD was still significantly less among ex-anorectic sufferers. Two subjects had experienced pathological fractures while anorectic, both having been strenuous exercisers. None appeared to have suffered post illness fractures. BMD at follow-up did not relate to the severity or chronicity of previous anorexia nervosa.

DISCUSSION

Full clinical recovery from anorexia nervosa does not quite confer full establishment of normal bone density. However, pathological fractures are not a feature thereafter, within middle life.

Xbra3 induces mesoderm and neural tissue in Xenopus laevis

Homologues of the murine Brachyury gene have been shown to be involved in mesoderm formation in several vertebrate species. In frogs, the Xenopus Brachyury homologue, Xbra, is required for normal formation of posterior mesoderm. We report the characterisation of a second Brachyury homologue from Xenopus, Xbra3, which has levels of identity with mouse Brachyury similar to those of Xbra. Xbra3 encodes a nuclear protein expressed in mesoderm in a temporal and spatial manner distinct from that observed for Xbra. Xbra3 expression is induced by mesoderm-inducing factors and overexpression of Xbra3 can induce mesoderm formation in animal caps. In contrast to Xbra, Xbra3 is also able to cause the formation of neural tissue in animal caps. Xbra3 overexpression induces both geminin and Xngnr-1, suggesting that Xbra3 can play a role in the earliest stages of neural induction. Xbra3 induces posterior nervous tissue by an FGF-dependent pathway; a complete switch to anterior neural tissue can be effected by the inhibition of FGF signalling. Neither noggin, chordin, follistatin, nor Xnr3 is induced by Xbra3 to an extent different from their induction by Xbra nor is BMP4 expression differentially affected.

The influence of total, dialysis, and residual renal urea clearances on serum albumin in peritoneal dialysis

Though serum albumin (SA) and Kt/V predict mortality in peritoneal dialysis (PD), the relationship between them remains unclear. We report a cross-sectional study of factors associated with SA in PD, and a prospective study of the effect of increasing dialysis dose on SA in hypoalbuminemic patients with Kt/V < 2.1. Multiple linear regression was performed in 56 subjects with dependent variable SA at 4 months after starting PD (SA2), and independent variables: age, sex, diabetes, 4h-D/Pcr, predialysis SA (SA1), nPCR, PD-duration, modality, Kt/V, Ccr, and daily volume excreted normalized to body water (Vt/V). Forward stepwise selection (alpha = 0.05) produced a model (r2 = 0.492, P < 0.001) containing predictors of SA2: SA1 and nPCR (positive), and Vt/V (negative). With Vt/V excluded, Kt/V became significant (negative). Broken into components, dialysate Kt/V was significant, but residual Kt/V was not significant. In 14 hypoalbuminemic patients with Kt/V < 2.1, PD prescription was changed, targeting a Kt/V > 2.1. After 3.3 months, Kt/V rose from 1.7 +/- 0.25 to 2.21 +/- 0.36 (P = 0.0001), and nPCR rose slightly, 0.71 +/- 0.13 to 0.78 +/- 0.19 (P = NS), with no significant change in SA, 30.5 +/- 3.0 g/L to 31.4 +/- 3.8 g/L (P = 0.268). Dialysate and urine volumes are negative predictors of SA. Volume-dependent dialysate-protein loss could account for poor correlation between Kt/V and SA, and lack of improvement in SA with increased Kt/V.