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Proteome analysis of recombinant Escherichia coli producing human glucagon-like peptide-1.

The proteomic response of recombinant Escherichia coli producing human glucagon-like peptide-1 was analyzed by two-dimensional gel electrophoresis. Protein spots in two-dimensional gel could be identified by using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and their expression profiles were compared with those of nonproducing cells. Thirty-five intracellular proteins exhibited differential expression levels between the production and control strains. These changes reflected physiological responses to heterologous peptide production in recombinant E. coli. Specifically, physiological changes included the down-regulation of proteins involved in the central carbon metabolism, biosynthesis of cellular building blocks and peptides, and up-regulation of cell protection proteins and some sugar transport proteins. This comprehensive analysis would provide useful information for understanding physiological alterations to heterologous peptide production and for designing efficient metabolic engineering strategies for the production of recombinant peptides in E. coli.

Electrophoresis, Gel, Two-Dimensional↗

The cumulative verification image analysis tool for offline evaluation of portal images.

PURPOSE: Daily portal images acquired using electronic portal imaging devices contain important information about the setup variation of the individual patient. The data can be used to evaluate the treatment and to derive correction for the individual patient. The large volume of images also require software tools for efficient analysis. This article describes the approach of cumulative verification image analysis (CVIA) specifically designed as an offline tool to extract quantitative information from daily portal images. METHODS AND MATERIALS: The user interface, image and graphics display, and algorithms of the CVIA tool have been implemented in ANSCI C using the X Window graphics standards. The tool consists of three major components: (a) definition of treatment geometry and anatomical information; (b) registration of portal images with a reference image to determine setup variation; and (c) quantitative analysis of all setup variation measurements. The CVIA tool is not automated. User interaction is required and preferred. Successful alignment of anatomies on portal images at present remains mostly dependent on clinical judgment. Predefined templates of block shapes and anatomies are used for image registration to enhance efficiency, taking advantage of the fact that much of the tool's operation is repeated in the analysis of daily portal images. RESULTS: The CVIA tool is portable and has been implemented on workstations with different operating systems. Analysis of 20 sequential daily portal images can be completed in less than 1 h. The temporal information is used to characterize setup variation in terms of its systematic, random and time-dependent components. The cumulative information is used to derive block overlap isofrequency distributions (BOIDs), which quantify the effective coverage of the prescribed treatment area throughout the course of treatment. Finally, a set of software utilities is available to facilitate feedback of the information for treatment plan recalculation and to test various decision strategies for treatment adjustment. CONCLUSIONS: The CVIA tool provides comprehensive analysis of daily images acquired with electronic portal imaging devices. Its offline approach allows characterization of the nature of setup variation for the individual patient that would have been difficult to deduce using only a few daily or weekly portal images. Distribution of the tool will help establish an important database of setup variation from many clinics. The information derived from CVIA can also serve as the foundation to integrate treatment verification, treatment planning, and treatment delivery.

Computer Peripherals↗

Simultaneous determination of anionic intermediates for Bacillus subtilis metabolic pathways by capillary electrophoresis electrospray ionization mass spectrometry.

A method for simultaneous determination of anionic metabolites based on capillary electrophoresis (CE) coupled to electrospray ionization mass spectrometry is described. To prevent current drop by the system, electroosmotic flow (EOF) reversal by using a cationic polymer-coated capillary was indispensable. A mixture containing 32 standards including carboxylic acids, phosphorylated carboxylic acids, phosphorylated saccharides, nucleotides, and nicotinamide and flavin adenine coenzymes of glycolysis and the tricarboxylic acid cycle pathways were separated by CE and selectively detected by a quadrupole mass spectrometer with a sheath-flow electrospray ionization interface. Key to the analysis was EOF reversal using a cationic polymer-coated capillary and an electrolyte system consisting of 50 mM ammonium acetate, pH 9.0. The relative standard deviations of the method were better than 0.4% for migration times and between 0.9% and 5.4% for peak areas. The concentration detection limits for these metabolites were between 0.3 and 6.7 micromol/L with pressure injection of 50 mbar for 30 s (30 nL); i.e., mass detection limits ranged from 9 to 200 fmol, at a signal-to-noise ratio of 3. This method was applied to the comprehensive analysis of metabolic intermediates extracted from Bacillus subtilis, and 27 anionic metabolites could be directly detected and quantified.

Anions↗

Analysis of the synaptic vesicle proteome using three gel-based protein separation techniques.

Synaptic vesicles are key organelles in neurotransmission. Their functions are governed by a unique set of integral and peripherally associated proteins. To obtain a complete protein inventory, we immunoisolated synaptic vesicles from rat brain to high purity and performed a gel-based analysis of the synaptic vesicle proteome. Since the high hydrophobicity of integral membrane proteins hampers their resolution by gel electrophoretic techniques, we applied in parallel three different gel electrophoretic methods for protein separation prior to MS. Synaptic vesicle proteins were subjected to either 1-D SDS-PAGE along with nano-LC ESI-MS/MS or to the 2-D gel electrophoretic techniques benzyldimethyl-n-hexadecylammonium chloride (BAC)/SDS-PAGE, and double SDS (dSDS)-PAGE in combination with MALDI-TOF-MS. We demonstrate that the combination of all three methods provides a comprehensive survey of the proteinaceous inventory of the synaptic vesicle membrane compartment. The identified synaptic vesicle proteins include transporters, soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs), synapsins, rab and rab-interacting proteins, additional guanine nucleotide triphosphate (GTP) binding proteins, cytoskeletal proteins, and proteins modulating synaptic vesicle exo- and endocytosis. In addition, we identified novel proteins of unknown function. Our results demonstrate that the parallel application of three different gel-based approaches in combination with mass spectrometry permits a comprehensive analysis of the synaptic vesicle proteome that is considerably more complex than previously anticipated.

Animals↗

Characterization of human non-small cell lung cancer (NSCLC) cell lines for expression of MHC, co-stimulatory molecules and tumor-associated antigens.

A panel of 31 long-term non-small cell lung cancer (NSCLC) cell lines was examined for the expression of protein and/or mRNA transcripts for 11 distinct immune response related molecules or tumor associated antigens (TAA). To assess whether cytokine stimulation might up-regulate expression of the genes of interest, cells were cultured in 500 U/ml of gamma-interferon (gamma-IFN) for 48-72 h prior to analysis. Major histocompatibility complex (MHC) Class I antigens were detected by indirect immunofluorescence and were constitutively expressed on all of the cell lines. The average of the mean fluorescence intensity (MFI) measured 222+/-22. gamma-IFN stimulation produced a significant increase to 482+/-36. For MHC Class II only 7/31 cell lines (23%) exhibited constitutive expression, while gamma-IFN treatment had a dramatic effect and yielded 18/31 (58%) positive cell lines. The co-stimulatory molecules CD80 and CD86 were examined by direct immunofluorescence for cell surface expression and RT-PCR amplification for mRNA. CD80 protein was not detected at all, while an insignificant percentage of cells were positive (mean 2%) for CD86 in all cell lines tested. gamma-IFN had no apparent effect on CD80 or CD86 protein expression. Constitutive CD80 or CD86 mRNA levels were observed in 45 and 61% of the NSCLC lines, respectively. These percentages increased to 77% and 90% with gamma-IFN. Cell surface phenotypic analysis for TAA revealed positive populations in 28/31 cell lines (90%) for Her-2/neu, 18/31 (58%) for CEA and 8/31 (26%) for GD-2, with gamma-IFN having no effect. After gamma-IFN stimulation, RT-PCR amplification for Mage-1, -2, -3 and WT-1 detected mRNA in 33%, 33%, 44% and 70% of the cell lines, respectively. Overall, gamma-IFN stimulation led to the up-regulation of MHC Class I molecules and class II molecules as well as CD80 and CD86 mRNA transcripts. This survey represents the first comprehensive analysis of NSCLC cell lines for a variety of molecules that could play an important role in the generation of an NSCLC anti-tumor CD8+ cytotoxic T lymphocyte (CTL) response.

Antigens, CD↗

Comparative analysis of T-cell costimulation and CD43 activation reveals novel signaling pathways and target genes.

The CD43 lymphocyte surface receptor is involved in the regulation of lymphocyte adhesion and activation. Many CD43 functions remain controversial or unclear, and it is not known to which extent CD43 signaling pathways are shared with or distinct from those used by the T-cell receptor (TCR). Here, we systematically compared signaling events and target gene expression induced by CD43 or T-cell costimulation in primary human peripheral T cells. These studies identify nuclear factor-kappaB (NF-kappaB) p65 serine 468 as a novel inducible phosphorylation site strongly induced by T-cell costimulation and only weakly triggered by CD43 ligation. We also identified CD43 as a novel Jun N-terminal kinase (JNK) activator and a comprehensive analysis of further signaling events suggests that both stimuli use overlapping but also distinct signaling pathways. Microarray analysis of inflammatory genes shows 1 group of genes coregulated by both stimuli and 2 further groups of target genes affected solely by costimulation or primarily by CD43.

Antigens, CD↗

Whole genome sequence analysis of low-density lipoprotein cholesterol across 246 K individuals.

BACKGROUND: Rare genetic variation provided by whole genome sequence datasets has been relatively less explored for its contributions to human traits. Meta-analysis of sequencing data offers advantages by integrating larger sample sizes from diverse cohorts, thereby increasing the likelihood of discovering novel insights into complex traits. Furthermore, emerging methods in genome-wide rare variant association testing further improve power and interpretability. RESULTS: Here, we conduct the largest meta-analysis of whole genome sequencing for low-density lipoprotein cholesterol (LDL-C), a therapeutic target for coronary artery disease, analyzing data from 246 K participants and integrating 1.23B variants from the UK Biobank and the Trans-Omics for Precision Medicine (TOPMed) program. We identify numerous rare coding and non-coding gene associations related to LDL-C, with replication across 86 K participants in All of Us. Our findings are based on single-variant analyses, rare coding and non-coding variant aggregation tests, and sliding window approaches. Through this comprehensive analysis, we identify 704 novel single-variant associations, 25 novel rare coding variant aggregates, 28 novel rare non-coding variant aggregates, and one novel sliding window aggregate. CONCLUSIONS: This study provides a meta-analysis framework for large-scale whole genome sequence association analyses from diverse population groups, yielding novel rare non-coding variant associations.

Humans↗

Characterization of ligand-binding properties and selectivities of three rat tachykinin receptors by transfection and functional expression of their cloned cDNAs in mammalian cells.

We investigated the ligand-binding properties and selectivities of rat substance P, substance K and neuromedin K receptors by transfection and functional expressions of the cDNAs for these receptor subtypes in monkey kidney COS cells. Selective radioligand binding analysis of both substance P and substance K receptors revealed the presence of high-affinity and low-affinity components which are governed primarily by the difference in rates of dissociation of the ligand-receptor complex. The two affinity components were interconvertible by the presence and absence of a guanine nucleotide, suggesting the involvement of a G protein in the two affinity states. The ligand bindings of the three receptors were inhibited in different potencies by naturally occurring tachykinins and a series of carboxyl-terminal fragments containing a common tachykinin sequence, and this comprehensive analysis indicated that a high and selective affinity of each of the tachykinin receptors is governed by interaction with several key amino acids under recognition of the fundamental core sequence of the tachykinin peptides. The potencies and selectivities of several synthetic agonists and an antagonist for the three receptors were also examined, and senktide was found to be a highly selective and potent agonist for neuromedin K receptor. This investigation thus indicates the detailed properties and binding selectivities characteristic of the three tachykinin receptors and also the usefulness of this receptor expression system for examination and development of a new receptor agonist or antagonist.

Animals↗

Visualization methods for statistical analysis of microarray clusters.

BACKGROUND: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appropriate to apply, and it is difficult to verify the results of any algorithm due to the lack of a gold-standard. Appropriate data visualization tools can aid this analysis process, but existing visualization methods do not specifically address this issue. RESULTS: We present several visualization techniques that incorporate meaningful statistics that are noise-robust for the purpose of analyzing the results of clustering algorithms on microarray data. This includes a rank-based visualization method that is more robust to noise, a difference display method to aid assessments of cluster quality and detection of outliers, and a projection of high dimensional data into a three dimensional space in order to examine relationships between clusters. Our methods are interactive and are dynamically linked together for comprehensive analysis. Further, our approach applies to both protein and gene expression microarrays, and our architecture is scalable for use on both desktop/laptop screens and large-scale display devices. This methodology is implemented in GeneVAnD (Genomic Visual ANalysis of Datasets) and is available at http://function.princeton.edu/GeneVAnD. CONCLUSION: Incorporating relevant statistical information into data visualizations is key for analysis of large biological datasets, particularly because of high levels of noise and the lack of a gold-standard for comparisons. We developed several new visualization techniques and demonstrated their effectiveness for evaluating cluster quality and relationships between clusters.

Algorithms↗

Meta-analysis of therapeutic relationship variables in youth and family therapy: the evidence for different relationship variables in the child and adolescent treatment outcome literature.

This meta-analysis examines associations between therapeutic relationship variables, and the extent to which they account for variability in treatment outcomes, in 49 youth treatment studies. Correlations between therapeutic relationship variables ranged from modest to strong. Among the best predictors of youth outcomes were counselor interpersonal skills, therapist direct influence skills, youth willingness to participate in treatment, parent willingness to participate in treatment, youth participation in treatment, and parent participation in treatment. Adequacy of current approaches to conceptualizing and measuring therapeutic relationship variables, such as the therapeutic alliance, in youth and family therapy is discussed. This paper represents the most comprehensive analysis of therapeutic relationship constructs in the youth treatment literature.

Adolescent↗

Gene expression profiling of gastrin target genes in parietal cells.

Previous studies demonstrated that mice with a null mutation in the gene encoding the hormone gastrin have impaired gastric acid secretion. Hence, the aim of this study was to evaluate changes in the acid-secreting parietal cell in gastrin-deficient (GAS-KO) mice. Analysis of several transcripts encoding parietal cell proteins involved in gastric acid secretion showed reduced abundance in the GAS-KO stomach, including H+,K+-ATPase alpha- and beta-subunits, KCNQ1 potassium channel, aquaporin-4 water channel, and creatine kinase B, which were reversed by gastrin infusion for 1 wk. Although mRNA and protein levels of LIM and SH3 domain-containing protein-1 (LASP-1) were not greatly changed in the mutant, there was a marked reduction in phosphorylation, consistent with its proposed role as a cAMP signal adaptor protein associated with acid secretion. A more comprehensive analysis of parietal cell gene expression in GAS-KO mice was performed using the Affymetrix U74AV2 chip with RNA from parietal cells purified by flow cytometry to >90%. Comparison of gene expression in GAS-KO and wild-type mice identified 47 transcripts that differed by greater than or equal to twofold, suggesting that gastrin affects parietal cell gene expression in a specific manner. The differentially expressed genes included several genes in signaling pathways, with a substantial number (20%) known to be target genes for Wnt and Myc.

Animals↗

Disulfide proteome in the analysis of protein function and structure.

Many proteins undergo post-translational modification via well defined mechanisms such as acetylation, phosphorylation and glycosylation and thereby control a spectrum of biochemical processes. A growing body of evidence suggests that the reversible reduction of disulfide bonds also alters the structure and activity of proteins. Thioredoxin, a ubiquitous 12 kDa protein with a catalytically active disulfide active site (Cys-Gly-Pro-Cys), plays a central role in controlling the redox status of disulfide bonds in proteins that regulate a range of processes. Included are photosynthesis, seed germination, transcription, cell division, radical scavenging and detoxification. The ability to identify unknown functions of proteins of all types has been advanced by the emerging field of functional proteomics. In this brief review, we introduce the disulfide proteome as a tool that complements other methods for the comprehensive analysis of proteins. In so doing, the usefulness of applying this method for both in vitro and in vivo analyses is discussed for thioredoxin and other disulfide proteins, especially those occurring in plants.

Allergens↗

Changes in the expression of many Ets family transcription factors and of potential target genes in normal mammary tissue and tumors.

Interfering with Ets transcription factor function reverses multiple aspects of the transformed phenotype of mouse or human tumor cells. However, the unknown number of individual Ets factors expressed in any cellular context and the similar DNA binding specificities of Ets family members complicates the identification of those that mediate transformation. By utilizing quantitative PCR assays for 25 mouse Ets factors, we analyzed the expression of essentially the entire Ets family in normal mammary tissue, mammary-related cell lines, and mammary tumors. In normal mammary tissue, 24 Ets factors were expressed. Even clonal derived cell lines expressed 14-20 Ets members. The most abundant Ets factor mRNAs measured in normal mammary tissue were Elk4, Elf1, and Ets2. Subtractive analysis of mammary tissue identified which Ets factors were predominantly expressed in the myeloid/lymphoid or epithelial cell compartments. Comparison of Ets factor expression in normal mammary tissue and mammary tumors identified significantly elevated expression of Pse/PDEF, Ese2/Elf5, Ese3/Ehf, TEL/Etv6, and Elf2/NERF in mammary tumors and confirmed previously reported alterations in expression of Ese1/Elf3 and the PEA3 subfamily. Expression of 13 Ets target genes, implicated in various aspects of tumor progression, was also analyzed. Altered expression of particular Ets target genes was significantly correlated with particular Ets factors (e.g. maspin and Ese2), suggesting specific in vivo regulatory roles. Together, this comprehensive analysis revealed unexpectedly diverse Ets family gene expression, characterized novel Ets factor changes in mammary tumors, and implicated specific Ets factors in the regulation of multiple genes involved in mammary tumor progression.

Animals↗

Measurement of endothelial cell migration using an improved linear migration assay. Presented at the 1995 Microcirculatory Society Meeting.

OBJECTIVE: The under-agarose migration assay developed for use with endothelial cells provides a measurement of the intrinsic migratory behavior of a cell population. However, the assay is labor intensive and lacks experimental flexibility. This migration assay has been refined and tested on human microvessel endothelial cells in the presence of a migration stimulus or on differing matrix-coated substrates. METHODS: The improved assay retains the linear geometry and mathematical basis of the under-agarose assay. Cells migrating from a cell reservoir formed with a Delrin insert are counted using an automated image-analysis system utilizing a high-contrast, fluorescent nuclear stain. From the cell counts, a stochastic measure of random migration is calculated. RESULTS: Values for random migration between the improved migration assay and the traditional under-agarose assay were very similar. Furthermore, a stochastic measure of endothelial cell migration on fibronectin was determined. CONCLUSIONS: This improved linear migration assay permits readily obtainable measures of endothelial cell migration for a number of experimental conditions. Improvements in the assay include the use of a removable fence for forming cell reservoirs, a nuclear stain to facilitate cell counting, and a more comprehensive analysis of the cell migration.

Animals↗

[Quantitative analysis of individual RNA in preparations of poly(A)+-RNA mammalian cells].

A new method of simultaneous analysis of the relative abundance of the most abundant individual mRNA's in poly(A)(+)-RNA preparations is described. The method is based on the synthesis of short (10-20 nucleotides) cDNA products by reverse transcription of poly(A)(+)-RNA primed with 5'-labeled oligonucleotides of 9 nucleotide lengths. Three natural nucleotides and one terminator nucleotide are used as substrates for reverse transcriptase. The numbers, lengths and sequence of the oligonucleotides used as primers were chosen to provide more than a 90% probability that synthesis would be initiated from any individual RNA present in the poly(A)(+)-RNA, thus assuring comprehensive analysis of RNA with abundance higher than 0.01%. Each primer produces about 20-60 bands per track following polyacrylamide electrophoresis under denaturing conditions. A full set of 30 oligonucleotides used to analyze a poly(A)(+)-RNA preparation produces an electrophoretic pattern with information capacity similar to that obtained from high resolution 2-dimensional electrophoresis of protein. Using this method we show that the patterns of poly(A)(+)-RNA differ from tissue to tissue, from normal tissues to neoplastic tissue (human myoma of uterus) and during differentiation of a F9 embryonic carcinoma cell line.

Base Sequence↗

Analysis of Pseudomonas aeruginosa diguanylate cyclases and phosphodiesterases reveals a role for bis-(3'-5')-cyclic-GMP in virulence.

The opportunistic pathogen Pseudomonas aeruginosa is responsible for systemic infections in immunocompromised individuals and chronic respiratory disease in patients with cystic fibrosis. Cyclic nucleotides are known to play a variety of roles in the regulation of virulence-related factors in pathogenic bacteria. A set of P. aeruginosa genes, encoding proteins that contain putative domains characteristic of diguanylate cyclases (DGCs) and phosphodiesterases (PDEs) that are responsible for the maintenance of cellular levels of the second messenger bis-(3'-5')-cyclic dimeric GMP (c-di-GMP) was identified in the annotated genomes of P. aeruginosa strains PAO1 and PA14. Although the majority of these genes are components of the P. aeruginosa core genome, several are located on presumptive horizontally acquired genomic islands. A comprehensive analysis of P. aeruginosa genes encoding the enzymes of c-di-GMP metabolism (DGC- and PDE-encoding genes) was carried out to analyze the function of c-di-GMP in two disease-related phenomena, cytotoxicity and biofilm formation. Analysis of the phenotypes of DGC and PDE mutants and overexpressing clones revealed that certain virulence-associated traits are controlled by multiple DGCs and PDEs through alterations in c-di-GMP levels. A set of mutants in selected DGC- and PDE-encoding genes exhibited attenuated virulence in a mouse infection model. Given that insertions in different DGC and PDE genes result in distinct phenotypes, it seems likely that the formation or degradation of c-di-GMP by these enzymes is in highly localized and intimately linked to particular targets of c-di-GMP action.

Bacterial Proteins↗

Mapping and chromosome analysis: the potential of fluorescence in situ hybridization.

Fluorescence in situ hybridization (FISH) is a method widely used for the delineation of chromosomal DNA. FISH is applied in many areas of basic research as well as in clinical cytogenetics. In this review important technical improvements as well as the various applications of this method are summarized. In the first part different labeling and detection procedures are described and the potential of various kinds of probes are discussed. Recent developments in optical instrumentation and digital imaging procedures are outlined in the second part. The following important applications of FISH are discussed: (a) new strategies for high resolution mapping of DNA sequences; (b) detection of chromosomal aberrations in clinical material; (c) techniques allowing the simultaneous detection of numerous probes by multiple color FISH; and (d) the new approach of comparative genomic hybridization, allowing a rapid and comprehensive analysis of chromosomal imbalances in cell populations, which is particularly useful for the cytogenetic analysis of tumor samples.

Animals↗

Analysis of the nonsteroidal anti-inflammatory drug literature for potential developmental toxicity in rats and rabbits.

BACKGROUND: Nonsteroidal anti-inflammatory drugs (NSAIDs) are among the most commonly prescribed to pregnant women. Some case-control studies have linked the NSAIDs aspirin and indomethacin with a risk of congenital abnormalities and low birthweight. High doses of aspirin produce developmental toxicity in rats (e.g., gastroschisis/umbilical hernia, diaphragmatic hernia [DH]) when administered during sensitive windows of development. Unlike other NSAIDs, aspirin irreversibly inhibits cyclooxygenases (COXs) 1 and 2. Hence, the developmental toxicity seen in rats after exposure to aspirin may be due to the irreversible inhibition of COX-1 and/or COX-2. If so, other NSAIDs, which act through a reversible inhibition of COX, may produce a weak developmental toxicity signal or no developmental toxicity signal when tested in preclinical models. To investigate this relationship, a comprehensive analysis of the NSAID developmental toxicity literature was undertaken to determine whether NSAIDs other than aspirin induce developmental anomalies similar to those elicited by aspirin. METHODS: Developmental toxicity studies were identified through literature searches of PubMed and TOXNET, and pregnancy outcome data were extracted and tabulated. By using a set of defined criteria, each study was evaluated for quality and assigned to one of five tiers. The relation between certain malformations and NSAID treatment was analyzed for the best studies (tiers 1-4) by using concurrent control data (Mantel-Haenszel and permutation tests) and by combining the concurrent control data with historical control data (chi2 test and permutation tests). RESULTS: A qualitative analysis of these data led to a focus on three types of malformations: DH, ventricular septal defects (VSDs), and midline defects (MDs). In rats, the incidences of VSD and MD were increased among fetuses treated with NSAIDs when compared with the concurrent controls. The extent of the increase was attenuated when the data from the aspirin studies were excluded from the analysis. There were no qualifying (i.e., tiers 1-4) aspirin studies conducted in rabbits, but the incidences of the three defects were increased over control incidences among non-aspirin NSAID-treated animals. Statistical analysis of these data was subsequently conducted. When tiers 1-4 were combined and compared with concurrent controls plus the most appropriate historical control database, the strongest associations were between NSAID treatment and VSD in rats, VSD in rabbits, and MD in rabbits. There also was some suggestion of an association between NSAID treatment and DH in rabbits. CONCLUSIONS: This analysis of the non-clinical NSAID literature demonstrated a possible association between exposure to NSAIDs and developmental anomalies. The anomalies were similar for aspirin and for other NSAIDs, but effects occurred at a much lower incidence with non-aspirin NSAIDs than previously reported with aspirin. Such a finding is consistent with the concept that reversible inhibition of COX-1 and/or COX-2 by other NSAIDs would produce weaker developmental toxicity signals than aspirin. However, there were limitations of the evaluated studies: (1) there were very few robust International Conference on Harmonization-compliant studies conducted with NSAIDs in the published literature; (2) many of the studies were conducted at doses well below the maximum tolerated dose (MTD), where effects are rarely seen; and (3) numerous studies were conducted above the MTD, where reduced numbers of fetuses hampered detection of low-incidence findings. Although weak associations were observed, these limitations prevented us from definitively determining the presence or absence of a developmental toxicity signal from the existing body of NSAID data. Further exploration of this hypothesis will require assessing the potential association in animal models by using dose levels centered around the MTD.

Abnormalities, Drug-Induced↗