Intact Human Immunodeficiency Virus (HIV) Reservoir Estimated by the Intact Proviral DNA Assay Correlates With Levels of Total and Integrated DNA in the Blood During Suppressive Antiretroviral Therapy.

Accurate characterization of the human immunodeficiency virus (HIV) reservoir is imperative to develop an effective cure. HIV was measured in antiretroviral therapy-suppressed individuals using the intact proviral DNA assay (IPDA), along with assays for total or integrated HIV DNA, and inducible HIV RNA or p24. Intact provirus correlated with total and integrated HIV.

Logical Experimental Design and Execution in the Biomedical Sciences.

Lack of reproducibility has been highlighted as a significant problem in biomedical research. The present unit is devoted to describing ways to help ensure that research findings can be replicated by others, with a focus on the design and execution of laboratory experiments. Essential components for this include clearly defining the question being asked, using available information or information from pilot studies to aid in the design the experiment, and choosing manipulations under a logical framework based on Mill's "methods of knowing" to build confidence in putative causal links. Final experimental design requires systematic attention to detail, including the choice of controls, sample selection, blinding to avoid bias, and the use of power analysis to determine the sample size. Execution of the experiment is done with care to ensure that the independent variables are controlled and the measurements of the dependent variables are accurate. While there are always differences among laboratories with respect to technical expertise, equipment, and suppliers, execution of the steps itemized in this unit will ensure well-designed and well-executed experiments to answer any question in biomedical research. © 2017 by John Wiley & Sons, Inc.

Antibiotic-Induced Elevations of Plasma Bile Acids in Rats Independent of Bsep Inhibition.

Drug-induced liver injury (DILI) is a common toxicity observed in drug development and can lead to withdrawal of approved drugs from the market. To better understand the numerous mechanisms of DILI, recent efforts have focused on transporter inhibition, specifically liver canalicular bile salt export pump (Bsep) as one mechanism of DILI, and on the potential use of plasma bile acids as monitorable mechanism-based biomarkers of Bsep inhibition. To explore alternative mechanisms of bile acid increases in plasma, 6 antibiotic and 2 nonantibiotic drugs unlikely to be Bsep inhibitors were evaluated in rat studies. Surprisingly, all 6 antibiotics demonstrated 2- to 14-fold increases of plasma taurocholic acid (TCA). Also, unconjugated primary bile acids and secondary bile acids (both taurine-conjugated and unconjugated) were decreased in rat plasma after antibiotic treatments, but not with the nonantibiotic drugs. These results suggest alternative mechanisms of bile acids regulation such as attenuation of bacterial deconjugation of bile acids following reduction of gut microflora by antibiotics. Measurements of TCA transport in rat hepatocytes and Bsep-containing membrane vesicles suggest that inhibition of uptake into hepatocytes could also contribute to increases in plasma bile acid concentrations, while excluding inhibition of Bsep as a mechanism. These studies further demonstrate that there are several mechanisms that can lead to conjugated bile acid increases in plasma. By carefully considering the time course and magnitude of changes of individual bile acids relative to any changes seen in transaminases and bilirubin, interpretations and conclusions of the involvement of Bsep inhibition are enabled.

Net Reclassification Index and Integrated Discrimination Index Are Not Appropriate for Testing Whether a Biomarker Improves Predictive Performance.

One of the goals of the Critical Path Institute's Predictive Safety Testing Consortium (PSTC) is to promote best practices for evaluating novel markers of drug induced injury. This includes the use of sound statistical methods. For rat studies, these practices have centered around comparing the area under the receiver-operator characteristic curve for each novel injury biomarker to those for the standard markers. In addition, the PSTC has previously used the net reclassification index (NRI) and integrated discrimination index (IDI) to assess the increased certainty provided by each novel injury biomarker when added to the information already provided by the standard markers. Due to their relatively simple interpretations, NRI and IDI have generally been popular measures of predictive performance. However recent literature suggests that significance tests for NRI and IDI can have inflated false positive rates and thus, tests based on these metrics should not be relied upon. Instead, when parametric models are employed to assess the added predictive value of a new marker, following (Pepe, M. S., Kerr, K. F., Longton, G., and Wang, Z. (2013). Testing for improvement in prediction model performance. Stat. Med. 32, 1467-1482), the PSTC recommends that likelihood based methods be used for significance testing.

Rat Urinary Osteopontin and Neutrophil Gelatinase-Associated Lipocalin Improve Certainty of Detecting Drug-Induced Kidney Injury.

Traditional kidney biomarkers are insensitive indicators of acute kidney injury, with meaningful changes occurring late in the course of injury. The aim of this work was to demonstrate the diagnostic potential of urinary osteopontin (OPN) and neutrophil gelatinase-associated lipocalin (NGAL) for drug-induced kidney injury (DIKI) in rats using data from a recent regulatory qualification submission of translational DIKI biomarkers and to compare performance of NGAL and OPN to five previously qualified DIKI urinary biomarkers. Data were compiled from 15 studies of 11 different pharmaceuticals contributed by Critical Path Institute's Predictive Safety Testing Consortium (PSTC) Nephrotoxicity Working Group (NWG). Rats were given doses known to cause DIKI or other target organ toxicity, and urinary levels of the candidate biomarkers were assessed relative to kidney histopathology and serum creatinine (sCr) and blood urea nitrogen (BUN).OPN and NGAL outperformed sCr and BUN in identifying DIKI manifested as renal tubular epithelial degeneration or necrosis. In addition, urinary OPN and NGAL, when used with sCr and BUN, increased the ability to detect renal tubular epithelial degeneration or necrosis. NGAL and OPN had comparable or improved performance relative to Kim-1, clusterin, albumin, total protein, and beta-2 microglobulin. Given these data, both urinary OPN and NGAL are appropriate for use with current methods for assessing nephrotoxicity to identify and monitor DIKI in regulatory toxicology studies in rats. These data also support exploratory use of urinary OPN and NGAL in safety monitoring strategies of early clinical trials to aid in the assurance of patient safety.

Soluble BACE-1 Activity and sAßPPß Concentrations in Alzheimer's Disease and Age-Matched Healthy Control Cerebrospinal Fluid from the Alzheimer's Disease Neuroimaging Initiative-1 Baseline Cohort.

ß-site amyloid precursor protein-cleaving enzyme 1 (BACE1) plays an important role in the development of Alzheimer's disease (AD), freeing the amyloid-ß (Aß) N-terminus from the amyloid-ß protein precursor (AßPP), the first step in Aß formation. Increased BACE1 activity in AD brain or cerebrospinal fluid (CSF) has been reported. Other studies, however, found either no change or a decrease with AD diagnosis in either BACE1 activity or sAßPPß, the N-terminal secreted product of BACE1 (sBACE1) activity on AßPP. Here, sBACE1 enzymatic activity and secreted AßPPß (sAßPPß) were measured in Alzheimer's Disease Neuroimaging Initiative-1 (ADNI-1) baseline CSF samples and no statistically significant changes were found in either measure comparing healthy control, mild cognitively impaired, or AD individual samples. While CSF sBACE1 activity and sAßPPß demonstrated a moderate yet significant degree of correlation with each other, there was no correlation of either analyte to CSF Aß peptide ending at residue 42. Surprisingly, a stronger correlation was demonstrated between CSF sBACE1 activity and tau, which was comparable to that between CSF Aß42 and tau. Unlike for these latter two analytes, receiver-operator characteristic curves demonstrate that neither CSF sBACE1 activity nor sAßPPß concentrations can be used to differentiate between healthy elderly and AD individuals.

A candidate plasma protein classifier to identify Alzheimer's disease.

Biomarkers currently used in the aid for the diagnosis of Alzheimer's disease (AD) are cerebrospinal fluid (CSF) protein markers and brain neuroimaging markers. These biomarkers, however, either involve semi-invasive procedures or are costly to measure. Thus, AD biomarkers from more easily accessible body fluids, such as plasma, are very enticing. Using an aptamer-based proteomic technology, we profiled 1,129 plasma proteins of AD patients and non-demented control individuals. A 5-protein classifier for AD identification was constructed in the discovery study with excellent 10-fold cross-validation performance (90.1% sensitivity, 84.2% specificity, 87.9% accuracy, and AUC as 0.94). In an independent validation study, the classifier was applied and correctly predicted AD with 100.0% sensitivity, 80.0% specificity, and 90.0% accuracy, matching or outperforming the CSF Aß42 and tau biomarkers whose performance were assessed in individual-matched CSF samples obtained at the same visit as plasma sample collection. Moreover, the classifier also correctly predicted mild cognitive impairment, an early pre-dementia state of the disease, with 96.7% sensitivity, 80.0% specificity, and 92.5% accuracy. These studies demonstrate that plasma proteins could be used effectively and accurately to contribute to the clinical diagnosis of AD. Although additional and more diverse cohorts are needed for further validation of the robustness, including the support of postmortem diagnosis, the 5-protein classifier appears to be a promising blood test to contribute diagnosis of AD.

Cerebrospinal fluid biomarkers distinguish postmortem-confirmed Alzheimer's disease from other dementias and healthy controls in the OPTIMA cohort.

Cerebrospinal fluid (CSF) amyloid-ß (Aß) and tau have been studied as markers of Alzheimer's disease (AD). Combined Aß42 and t-tau distinguishes AD from healthy controls with a sensitivity and specificity (sens/spec) near 89% across studies. This study examined these markers in the homogeneous OPTIMA cohort, using extensive longitudinal follow up and postmortem evaluation to confirm clinicopathological status. Baseline CSF was analyzed from 227 participants with AD (97% autopsy-confirmed), mild cognitive impairment (MCI; 73% confirmed), other dementia syndrome (ODS; 100% confirmed), and controls (CTL; 27% confirmed, follow up approximately 9-13 years). Biomarker concentrations were analyzed using validated ELISAs. AD patients had lower CSF Aß42 and higher t-tau, p-tau, t-tau/Aß42, and t-tau/Aß40 compared to CTLs, with MCI intermediate. CTL and MCI participants who progressed to AD demonstrated more AD-like profiles. Aß40, sAßPPα, and sAßPPß were lower in AD compared to CTL. High-level discriminators of AD from CTL were t-tau/Aß40 (AUROC 0.986, sens/spec of 92%/94%), p-tau/Aß42 (AUROC 0.972, sens/spec of 94%/90%), and Aß42 (AUROC 0.941, sens/spec of 88%). For discriminating AD from ODS, p-tau/Aß42 demonstrated sens/spec of 88%/100% (95%/86% at the AD versus CTL cutoff) and Aß42 demonstrated sens/spec of 84%/100% (88%/100% at the AD versus CTL cutoff). In a well-characterized, homogeneous population, a single cutoff for baseline CSF Aß and tau markers can distinguish AD with a high level of sens/spec compared to other studies. It may be important to characterize sources of demographic and biological variability to support the effective use of CSF diagnostic assays in the broader AD population.

CNS amyloid-ß, soluble APP-α and -ß kinetics during BACE inhibition.

BACE, a ß-secretase, is an attractive potential disease-modifying therapeutic strategy for Alzheimer's disease (AD) as it results directly in the decrease of amyloid precursor protein (APP) processing through the ß-secretase pathway and a lowering of CNS amyloid-ß (Aß) levels. The interaction of the ß-secretase and α-secretase pathway-mediated processing of APP in the rhesus monkey (nonhuman primate; NHP) CNS is not understood. We hypothesized that CNS inhibition of BACE would result in decreased newly generated Aß and soluble APPß (sAPPß), with increased newly generated sAPPα. A stable isotope labeling kinetics experiment in NHPs was performed with a (13)C6-leucine infusion protocol to evaluate effects of BACE inhibition on CNS APP processing by measuring the kinetics of sAPPα, sAPPß, and Aß in CSF. Each NHP received a low, medium, or high dose of MBI-5 (BACE inhibitor) or vehicle in a four-way crossover design. CSF sAPPα, sAPPß, and Aß were measured by ELISA and newly incorporated label following immunoprecipitation and liquid chromatography-mass spectrometry. Concentrations, kinetics, and amount of newly generated APP fragments were calculated. sAPPß and sAPPα kinetics were similar, but both significantly slower than Aß. BACE inhibition resulted in decreased labeled sAPPß and Aß in CSF, without observable changes in labeled CSF sAPPα. ELISA concentrations of sAPPß and Aß both decreased and sAPPα increased. sAPPα increased by ELISA, with no difference by labeled sAPPα kinetics indicating increases in product may be due to APP shunting from the ß-secretase to the α-secretase pathway. These results provide a quantitative understanding of pharmacodynamic effects of BACE inhibition on NHP CNS, which can inform about target development.

cSSMD: assessing collective activity for addressing off-target effects in genome-scale RNA interference screens.

MOTIVATION: Off-target activity commonly exists in RNA interference (RNAi) screens and often generates false positives. Existing analytic methods for addressing the off-target effects are demonstrably inadequate in RNAi confirmatory screens. RESULTS: Here, we present an analytic method assessing the collective activity of multiple short interfering RNAs (siRNAs) targeting a gene. Using this method, we can not only reduce the impact of off-target activities, but also evaluate the specific effect of an siRNA, thus providing information about potential off-target effects. Using in-house RNAi screens, we demonstrate that our method obtains more reasonable and sensible results than current methods such as the redundant siRNA activity (RSA) method, the RNAi gene enrichment ranking (RIGER) method, the frequency approach and the t-test. CONTACT: xiaohua_zhang@merck.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

The use of SSMD-based false discovery and false nondiscovery rates in genome-scale RNAi screens.

In genome-scale RNA interference (RNAi) screens, it is critical to control false positives and false negatives statistically. Traditional statistical methods for controlling false discovery and false nondiscovery rates are inappropriate for hit selection in RNAi screens because the major goal in RNAi screens is to control both the proportion of short interfering RNAs (siRNAs) with a small effect among selected hits and the proportion of siRNAs with a large effect among declared nonhits. An effective method based on strictly standardized mean difference (SSMD) has been proposed for statistically controlling false discovery rate (FDR) and false nondiscovery rate (FNDR) appropriate for RNAi screens. In this article, the authors explore the utility of the SSMD-based method for hit selection in RNAi screens. As demonstrated in 2 genome-scale RNAi screens, the SSMD-based method addresses the unmet need of controlling for the proportion of siRNAs with a small effect among selected hits, as well as controlling for the proportion of siRNAs with a large effect among declared nonhits. Furthermore, the SSMD-based method results in reasonably low FDR and FNDR for selecting inhibition or activation hits. This method works effectively and should have a broad utility for hit selection in RNAi screens with replicates.

Towards consensus practices to qualify safety biomarkers for use in early drug development.

Application of any new biomarker to support safety-related decisions during regulated phases of drug development requires provision of a substantial data set that critically assesses analytical and biological performance of that biomarker. Such an approach enables stakeholders from industry and regulatory bodies to objectively evaluate whether superior standards of performance have been met and whether specific claims of fit-for-purpose use are supported. It is therefore important during the biomarker evaluation process that stakeholders seek agreement on which critical experiments are needed to test that a biomarker meets specific performance claims, how new biomarker and traditional comparators will be measured and how the resulting data will be merged, analyzed and interpreted.

Kidney injury molecule-1 outperforms traditional biomarkers of kidney injury in preclinical biomarker qualification studies.

Kidney toxicity accounts both for the failure of many drug candidates as well as considerable patient morbidity. Whereas histopathology remains the gold standard for nephrotoxicity in animal systems, serum creatinine (SCr) and blood urea nitrogen (BUN) are the primary options for monitoring kidney dysfunction in humans. The transmembrane tubular protein kidney injury molecule-1 (Kim-1) was previously reported to be markedly induced in response to renal injury. Owing to the poor sensitivity and specificity of SCr and BUN, we used rat toxicology studies to compare the diagnostic performance of urinary Kim-1 to BUN, SCr and urinary N-acetyl-beta-D-glucosaminidase (NAG) as predictors of kidney tubular damage scored by histopathology. Kim-1 outperforms SCr, BUN and urinary NAG in multiple rat models of kidney injury. Urinary Kim-1 measurements may facilitate sensitive, specific and accurate prediction of human nephrotoxicity in preclinical drug screens. This should enable early identification and elimination of compounds that are potentially nephrotoxic.

Hit selection with false discovery rate control in genome-scale RNAi screens.

RNA interference (RNAi) is a modality in which small double-stranded RNA molecules (siRNAs) designed to lead to the degradation of specific mRNAs are introduced into cells or organisms. siRNA libraries have been developed in which siRNAs targeting virtually every gene in the human genome are designed, synthesized and are presented for introduction into cells by transfection in a microtiter plate array. These siRNAs can then be transfected into cells using high-throughput screening (HTS) methodologies. The goal of RNAi HTS is to identify a set of siRNAs that inhibit or activate defined cellular phenotypes. The commonly used analysis methods including median +/- kMAD have issues about error rates in multiple hypothesis testing and plate-wise versus experiment-wise analysis. We propose a methodology based on a Bayesian framework to address these issues. Our approach allows for sharing of information across plates in a plate-wise analysis, which obviates the need for choosing either a plate-wise or experimental-wise analysis. The proposed approach incorporates information from reliable controls to achieve a higher power and a balance between the contribution from the samples and control wells. Our approach provides false discovery rate (FDR) control to address multiple testing issues and it is robust to outliers.

Dual role of Nr2e3 in photoreceptor development and maintenance.

Nr2e3 is a photoreceptor-specific nuclear receptor believed to play a role in photoreceptor development, differentiation, and survival. Much research has focused on the interaction of Nr2e3 with other transcription factors in determining the milieu of target gene expression in photoreceptors of the neonatal and adult retina. To investigate the downstream targets of Nr2e3 and thereby shed light on the functional pathways relevant to photoreceptor development and maintenance, expression profiling was performed on retinas from two different mouse knockout lines, one containing a targeted disruption of the Nr2e3 gene (Nr2e3 -/-), the other containing a spontaneous null allele of the Nr2e3 locus (rd7). Using whole genome microarrays, mRNA expression profiles of retinas from the two mutant strains were compared to those of wildtype C57BL/6 mice over a time course that ranged from postnatal day (p) 2 to 6months of age (p180). Additionally, expression profiling was performed on retinal explants treated with a putative NR2E3 agonist. The molecular profiling of Nr2e3 -/- and rd7/rd7 retinas identified 281 putative Nr2e3-dependent genes that were differentially expressed between wildtype and mutant retinas during at least one time point. Consistent with previous reports that Nr2e3 is necessary for the repression of cone-specific genes, increased expression of cone-specific genes was observed in the mutant samples, thereby providing proof-of-concept for the microarray screen. Further annotation of these data sets revealed ten predominant functional classes involved in the Nr2e3-mediated development and/or maintenance of photoreceptors. Interestingly, differences in the expression of Nr2e3-dependent genes exhibited two distinct temporal patterns. One group of genes showed a sustained difference in expression as compared to wildtype over the entire time course of the study, whereas a second group showed only transient differences which were largest around p10. Comparison of gene expression changes in Nr2e3 -/- and rd7/rd7 retinas with those uncovered by treating retinal explants with a putative NR2E3 agonist revealed four genes that were down-regulated in mutant retinas that lack Nr2e3 function but were up-regulated in agonist-treated explants. These results strongly suggest that the four genes may be direct targets of Nr2e3. Our identification of two sets of Nr2e3-regulated genes provides further evidence of a dual role for Nr2e3 in specification of photoreceptor fate during development as well as photoreceptor maintenance in the adult.

Diagnosis of drug-induced renal tubular toxicity using global gene expression profiles.

Toxicogenomics can measure the expression of thousands of genes to identify changes associated with drug induced toxicities. It is expected that toxicogenomics can be an alternative or complementary approach in preclinical drug safety evaluation to identify or predict drug induced toxicities. One of the major concerns in applying toxicogenomics to diagnose or predict drug induced organ toxicity, is how generalizable the statistical classification model is when derived from small datasets? Here we presented that a diagnosis of kidney proximal tubule toxicity, measured by pathology, can successfully be achieved even with a study design of limited number of training studies or samples. We selected a total of ten kidney toxicants, designed the in life study with multiple dose and multiple time points to cover samples at doses and time points with or without concurrent toxicity. We employed SVM (Support Vector Machine) as the classification algorithm for the toxicogenomic diagnosis of kidney proximal tubule toxicity. Instead of applying cross validation methods, we used an independent testing set by dividing the studies or samples into independent training and testing sets to evaluate the diagnostic performance. We achieved a Sn (sensitivity) = 88% and a Sp (specificity) = 91%. The diagnosis performance underscores the potential application of toxicogenomics in a preclinical lead optimization process of drugs entering into development.

The use of strictly standardized mean difference for hit selection in primary RNA interference high-throughput screening experiments.

RNA interference (RNAi) high-throughput screening (HTS) has been hailed as the 2nd genomics wave following the 1st genomics wave of gene expression microarrays and single-nucleotide polymorphism discovery platforms. Following an RNAi HTS, the authors are interested in identifying short interfering RNA (siRNA) hits with large inhibition/activation effects. For hit selection, the z-score method and its variants are commonly used in primary RNAi HTS experiments. Recently, strictly standardized mean difference (SSMD) has been proposed to measure the siRNA effect represented by the magnitude of difference between an siRNA and a negative reference group. The links between SSMD and d+-probability offer a clear interpretation of siRNA effects from a probability perspective. Hence, SSMD can be used as a ranking metric for hit selection. In this article, the authors investigated both the SSMD-based testing process and the use of SSMD as a ranking metric for hit selection in 2 primary siRNA HTS experiments. The analysis results showed that, as a ranking metric, SSMD was more stable and reliable than percentage inhibition and led to more robust hit selection results. Using the SSMD -based testing method, the false-negative rate can more readily be obtained. More important, the use of the SSMD-based method can result in a reduction in both the false-negative and false-positive rates. The applications presented in this article demonstrate that the SSMD method addresses scientific questions and fills scientific needs better than both percentage inhibition and the commonly used z-score method for hit selection.

Inhibition of retinal and choroidal neovascularization by a novel KDR kinase inhibitor.

PURPOSE: Inhibition of vascular endothelial growth factor (VEGF) signaling has shown great promise for the treatment of ocular neovascular disease. Current anti-VEGF therapies in late-stage development, while efficacious, require dosing by frequent intravitreal injections that are inconvenient to patients. VEGF signaling inhibitors that demonstrate more convenient dosing regimens could lead to the improved treatment of neovascular diseases such as wet age related macular degeneration (AMD) and proliferative diabetic retinopathy (PDR). Here we describe the assessment of a KDR (VEGFR2) kinase inhibitor in two well-established models of ocular neovascularization following oral administration. METHODS: A novel KDR kinase inhibitor was dosed by oral gavage for 12 days at 0, 10, 30, or 100 mg/kg in an adult male Brown Norway rat laser induced choroidal neovascularization (CNV) model. The areas of CNV lesions were quantitated by fluorescence image analysis of FITC-dextran perfused animals. The kinase inhibitor was also assessed in a rat oxygen induced retinopathy (OIR) model in which neonatal rats were placed in an oxygen chamber that delivered alternating 24 h cycles of 50% and 10% oxygen for 14 days. After 14 days of oxygen treatment, the animals were returned to room air and dosed orally for 7 days with 0, 10, or 30 mg/kg kinase inhibitor. The extent of retinal neovascularization was assessed by counting pre-retinal neovascular nuclei on histological sections. RESULTS: At doses of 100 mg/kg, the KDR kinase inhibitor resulted in a 98% reduction in lesion size in the rat CNV model. 30 mg/kg doses of the inhibitor showed a 70% and 80% reduction in lesion size in the laser CNV and OIR models, respectively. CONCLUSIONS: Oral dosing of the described KDR kinase inhibitor effectively inhibits neovascularization in two well-established animal models of ocular neovascularization. These data suggest that compounds of this class may prove to be useful for the treatment of a variety of ocular neovascular diseases using a convenient oral dosing regimen.

Regulation of gene expression by lithium and depletion of inositol in slices of adult rat cortex.

Lithium inhibits inositol monophosphatase at therapeutically effective concentrations, and it has been hypothesized that depletion of brain inositol levels is an important chemical alteration for lithium's therapeutic efficacy in bipolar disorder. We have employed adult rat cortical slices as a model to investigate the gene regulatory consequences of inositol depletion effected by lithium using cytidine diphosphoryl-diacylglycerol as a functionally relevant biochemical marker to define treatment conditions. Genes coding for the neuropeptide hormone pituitary adenylate cyclase activating polypeptide (PACAP) and the enzyme that processes PACAP's precursor to the mature form, peptidylglycine alpha-amidating monooxygenase, were upregulated by inositol depletion. Previous work has shown that PACAP can increase tyrosine hydroxylase (TH) activity and dopamine release, and we found that the gene for GTP cyclohydrolase, which effectively regulates TH through synthesis of tetrahydrobiopterin, was also upregulated by inositol depletion. We propose that modulation of brain PACAP signaling might represent a new opportunity in the treatment of bipolar disorder.

Efficacy of indinavir-ritonavir-based regimens in HIV-1-infected patients with prior protease inhibitor failures.

OBJECTIVE: To assess responses to indinavir (IDV)-ritonavir (RTV)-based regimens among HIV-1 infected patients with prior failure of protease inhibitors, and to assess the effects of adherence to therapy and pre-existing genotypic and phenotypic resistance on this response. METHODS: Twenty-eight patients initiating salvage regimens with IDV-RTV (800 mg and 200 mg twice daily, respectively) plus one or more reverse transcriptase inhibitor (RTI) were identified retrospectively. Genotypic and phenotypic susceptibilities to multiple antiretroviral agents were determined on viral samples collected at initiation of the salvage regimens, and adherence to therapy was determined through patient self-reporting. Response to therapy (viral RNA