Altered gene expression of NIDD in dorsal root ganglia and spinal cord of rats with neuropathic or inflammatory pain

Nitric oxide and nitric oxide synthases are key players in synaptic plasticity events in spinal cord (SC), which underlies the chronic pain states. To date, little is known about the molecular mechanisms regulating the activity of nitric oxide synthases in nociceptive systems. The present study was aimed at the determination of the gene expression of nNOS-interacting DHHC domain-containing protein with dendritic mRNA (NIDD), a recently identified protein regulating nNOS enzyme activity, in rat SC and dorsal root ganglia (DRG) and studying its regulation in states of nociceptive hypersensitivity in a rat model of neuropathic or inflammatory pain. It was found that NIDD mRNA was predominantly expressed in nociceptive primary neurons and in neurons of the spinal dorsal horn (DH) and the number of NIDD-positive neurons in the corresponding DRG or SC increased significantly following induction of chronic hyperalgesia. Meanwhile, remarkable changes of nNOS were detected under such pain conditions. Our data suggest a potential role for NIDD in the maintenance of thermal pain hypersensitivity possibly via regulating the nNOS activity. Meng-Ling Chen and Chun Cheng are contributed equally to this work.     

Altered neuropathic pain behaviour in a rat model of depression is associated with changes in inflammatory gene expression in the amygdala

The association between chronic pain and depression is widely recognized, the comorbidity of which leads to a heavier disease burden, increased disability and poor treatment response. This study examined nociceptive responding to mechanical and thermal stimuli prior to and following L5‐L6 spinal nerve ligation (SNL), a model of neuropathic pain, in the olfactory bulbectomized (OB) rat model of depression. Associated changes in the expression of genes encoding for markers of glial activation and cytokines were subsequently examined in the amygdala, a key brain region for the modulation of emotion and pain. The OB rats exhibited mechanical and cold allodynia, but not heat hyperalgesia, when compared with sham‐operated counterparts. Spinal nerve ligation induced characteristic mechanical and cold allodynia in the ipsilateral hindpaw of both sham and OB rats. The OB rats exhibited a reduced latency and number of responses to an innocuous cold stimulus following SNL, an effect positively correlated with interleukin (IL)‐6 and IL‐10 mRNA expression in the amygdala, respectively. Spinal nerve ligation reduced IL‐6 and increased IL‐10 expression in the amygdala of sham rats. The expression of CD11b (cluster of differentiation molecule 11b) and GFAP (glial fibrillary acidic protein), indicative of microglial and astrocyte activation, and IL‐1β in the amygdala was enhanced in OB animals when compared with sham counterparts, an effect not observed following SNL. This study shows that neuropathic pain‐related responding to an innocuous cold stimulus is altered in an animal model of depression, effects accompanied by changes in the expression of neuroinflammatory genes in the amygdala .     

Somatosensory profiles but not numbers of somatosensory abnormalities of neuropathic pain patients correspond with neuropathic pain grading

Due to the lack of a specific diagnostic tool for neuropathic pain, a grading system to categorize pain as 'definite', 'probable', 'possible' and 'unlikely' neuropathic was proposed. Somatosensory abnormalities are common in neuropathic pain and it has been suggested that a greater number of abnormalities would be present in patients with 'probable' and 'definite' grades. To test this hypothesis, we investigated the presence of somatosensory abnormalities by means of Quantitative Sensory Testing (QST) in patients with a clinical diagnosis of neuropathic pain and correlated the number of sensory abnormalities and sensory profiles to the different grades. Of patients who were clinically diagnosed with neuropathic pain, only 60% were graded as 'definite' or 'probable', while 40% were graded as 'possible' or 'unlikely' neuropathic pain. Apparently, there is a mismatch between a clinical neuropathic pain diagnosis and neuropathic pain grading. Contrary to the expectation, patients with 'probable' and 'definite' grades did not have a greater number of abnormalities. Instead, similar numbers of somatosensory abnormalities were identified for each grade. The profiles of sensory signs in 'definite' and 'probable' neuropathic pain were not significantly different, but different from the 'unlikely' grade. This latter difference could be attributed to differences in the prevalence of patients with a mixture of sensory gain and loss and with sensory loss only. The grading system allows a separation of neuropathic and non-neuropathic pain based on profiles but not on the total number of sensory abnormalities. Our findings indicate that patient selection based on grading of neuropathic pain may provide advantages in selecting homogenous groups for clinical research.     

Comparison of the antinociceptive effects of ibuprofen arginate and ibuprofen in rat models of inflammatory and neuropathic pain

AimsIbuprofen arginate is a highly soluble salt formed by combining racemic ibuprofen with the amino acid l-arginine. This formulation is absorbed faster, and it is safe and effective in treating many forms of mild to moderate pain. We compared the analgesic effect of ibuprofen arginate and conventional ibuprofen in rat models of pain.Main methodsMechanical and cold allodynia were assessed in the chronic constriction injury (CCI) model of neuropathic pain, and mechanical allodynia was also examined in capsaicin-injected rats (a model of central sensitization). Inflammatory hypersensitivity was assessed with the formalin test. Ibuprofen-l-arginine, ibuprofen, l-arginine or saline was administered orally on a daily basis after CCI or capsaicin injection, and the von Frey and cold plate tests were performed on days 1, 3 and 7 after CCI or capsaicin administration. In the formalin-induced inflammatory pain test, the drugs were administered 30 min before formalin injection.Key findingsIbuprofen only exerts an antinociceptive effect in the formalin model whereas ibuprofen-l-arginine exerts antinociceptive effects on both mechanical and cold allodynia induced by CCI, mechanical allodynia induced by capsaicin injection, and in phase 2 of the formalin test, exhibiting superior antinociceptive activity to ibuprofen in all these tests. l-Arginine only exerted antinociceptive effects on cold allodynia in CCI.SignificanceThese results demonstrate that ibuprofen arginate has stronger antinociceptive effects than ibuprofen in all the models used, suggesting it might improve the therapeutic management of neuropathic and inflammatory pain.     

Identification of novel therapeutic targets for neuropathic pain based on gene expression patterns

Neuropathic pain (NP) caused by nerve injury or dysfunction is one of the most challenging neurological diseases. In-depth study of disease signatures contributes to the development of novel target treatment for NP. In this study, we analyzed expression profiles of qualified NP datasets (GSE24982 and GSE63442) deposited at Gene Expression Omnibus database by systematic bioinformatics approaches. We analyzed the differentially expressed genes of high and low pain compared with normal control group, and between spinal nerve ligation (SNL) injury model and sham-operation group. A total of 1,243 upregulated and 1,533 downregulated genes were identified in GSE24982, 380 upregulated and 355 downregulated genes were identified in GSE63442. By comparing low-pain samples with the corresponding sham-operation group, we identified 457 upregulated and 409 downregulated genes. Overlapping genes were screened out and signaling pathway and expression regulation model analyses were performed. SCN10A and SST were identified as biomarkers for NP. In conclusion, our study showed the expression pattern of gene about NP. These identified biomarkers could serve as potential therapeutic targets for treating NP.     

cDNA microarray analysis of the differential gene expression in the neuropathic pain and electroacupuncture treatment models

Partial nerve injury is the main cause of neuropathic pain disorders in humans. Acupuncture has long been used to relieve pain. It is known to relieve pain by controlling the activities of the autonomic nervous system. Although the mechanism of neuropathic pain and analgesic effects of electroacupuncture (EA) have been studied in a rat model system, its detailed mechanism at the molecular level remains unclear. To identify genes that might serve as either markers or explain these distinct biological functions, a cDNA microarray analysis was used to compare the expression of 8,400 genes among three sample groups. Messenger RNAs that were pooled from the spinal nerves of 7 normal, 7 neuropathic pain, and 7 EA treatment rat models were compared. Sixty-eight genes were differentially expressed more than 2-fold in the neuropathic rat model when compared to the normal, and restored to the normal expression level after the EA treatment. These genes are involved in a number of biological processes, including the signal transduction, gene expression, and nociceptive pathways. Confirmation of the differential gene expression was performed by a dotblot analysis. Dot-blotting results showed that the opioid receptor sigma was among those genes. This indicates that opioid-signaling events are involved in neuropathic pain and the analgesic effects of EA. The potential application of these data include the identification and characterization of signaling pathways that are involved in the EA treatment, studies on the role of the opioid receptor in neuropathic pain, and further exploration on the role of selected identified genes in animal models.     

Tissue classification with gene expression profiles.

Constantly improving gene expression profiling technologies are expected to provide understanding and insight into cancer-related cellular processes. Gene expression data is also expected to significantly aid in the development of efficient cancer diagnosis and classification platforms. In this work we examine three sets of gene expression data measured across sets of tumor(s) and normal clinical samples: The first set consists of 2,000 genes, measured in 62 epithelial colon samples (Alon et al., 1999). The second consists of approximately equal to 100,000 clones, measured in 32 ovarian samples (unpublished extension of data set described in Schummer et al. (1999)). The third set consists of approximately equal to 7,100 genes, measured in 72 bone marrow and peripheral blood samples (Golub et al, 1999). We examine the use of scoring methods, measuring separation of tissue type (e.g., tumors from normals) using individual gene expression levels. These are then coupled with high-dimensional classification methods to assess the classification power of complete expression profiles. We present results of performing leave-one-out cross validation (LOOCV) experiments on the three data sets, employing nearest neighbor classifier, SVM (Cortes and Vapnik, 1995), AdaBoost (Freund and Schapire, 1997) and a novel clustering-based classification technique. As tumor samples can differ from normal samples in their cell-type composition, we also perform LOOCV experiments using appropriately modified sets of genes, attempting to eliminate the resulting bias. We demonstrate success rate of at least 90% in tumor versus normal classification, using sets of selected genes, with, as well as without, cellular-contamination-related members. These results are insensitive to the exact selection mechanism, over a certain range.     

Comparison of gene expression profiles in chromate transformed BEAS-2B cells

Background

Hexavalent chromium [Cr(VI)] is a potent human carcinogen.Occupational exposure has been associated with increased risk of respiratorycancer. Multiple mechanisms have been shown to contribute to Cr(VI) inducedcarcinogenesis, including DNA damage, genomic instability, and epigeneticmodulation, however, the molecular mechanism and downstream genes mediatingchromium''s carcinogenicity remain to be elucidated.

Methods/Results

We established chromate transformed cell lines by chronic exposure of normalhuman bronchial epithelial BEAS-2B cells to low doses of Cr(VI) followed byanchorage-independent growth. These transformed cell lines not onlyexhibited consistent morphological changes but also acquired altered anddistinct gene expression patterns compared with normal BEAS-2B cells andcontrol cell lines (untreated) that arose spontaneously in soft agar.Interestingly, the gene expression profiles of six Cr(VI) transformed celllines were remarkably similar to each other yet differed significantly fromthat of either control cell lines or normal BEAS-2B cells. A total of 409differentially expressed genes were identified in Cr(VI) transformed cellscompared to control cells. Genes related to cell-to-cell junction wereupregulated in all Cr(VI) transformed cells, while genes associated with theinteraction between cells and their extracellular matrices weredown-regulated. Additionally, expression of genes involved in cellproliferation and apoptosis were also changed.

Conclusion

This study is the first to report gene expression profiling of Cr(VI)transformed cells. The gene expression changes across individual chromateexposed clones were remarkably similar to each other but differedsignificantly from the gene expression found in anchorage-independent clonesthat arose spontaneously. Our analysis identified many novel gene expressionchanges that may contribute to chromate induced cell transformation, andcollectively this type of information will provide a better understanding ofthe mechanism underlying chromate carcinogenicity.     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, “RFE_Relief algorithm” was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.     

Tumor-specific gene expression patterns with gene expression profiles

Gene expression profiles of 14 common tumors and their counterpart normal tissues were analyzed with machine learning methods to address the problem of selection of tumor-specific genes and analysis of their differential expressions in tumor tissues. First, a variation of the Relief algorithm, "RFE_Relief algorithm" was proposed to learn the relations between genes and tissue types. Then, a support vector machine was employed to find the gene subset with the best classification performance for distinguishing cancerous tissues and their counterparts. After tissue-specific genes were removed, cross validation experiments were employed to demonstrate the common deregulated expressions of the selected gene in tumor tissues. The results indicate the existence of a specific expression fingerprint of these genes that is shared in different tumor tissues, and the hallmarks of the expression patterns of these genes in cancerous tissues are summarized at the end of this paper.     

Antinociceptive effect of intrathecal administration of hypotaurine in rat models of inflammatory and neuropathic pain

Hypotaurine is an intermediate in taurine biosynthesis from cysteine in astrocytes. Although hypotaurine functions as an antioxidant and organic osmolyte, its physiological role in the central nervous system remains unclear. This study used behavioral assessments to determine whether hypotaurine influenced nociceptive transmission in acute, inflammatory, and neuropathic pain. The tail flick, paw pressure, and formalin tests were performed in male Sprague-Dawley rats to examine the effects of the intrathecal administration of hypotaurine (100, 200, 400, 600?μg) on thermal, mechanical, and chemical nociception. Chronic constriction injury (CCI) to the sciatic nerve was induced in the rats, and the electronic von Frey test and plantar test were performed to assess the effects on neuropathic pain. To determine which neurotransmitter pathway(s) was involved in the action of hypotaurine, in this study, we examined how the antagonists of spinal pain processing receptors altered the effect of 600?μg hypotaurine. To explore whether hypotaurine affected motor performance, the Rotarod test was conducted. Hypotaurine had antinociceptive effects on thermal, mechanical, and chemical nociception in the spinal cord. In CCI rats, hypotaurine alleviated mechanical allodynia and thermal hyperalgesia. These effects were reversed completely by pretreatment with an intrathecal injection of strychnine, a glycine receptor antagonist. Conversely, hypotaurine did not affect motor performance. This study demonstrated that intrathecal hypotaurine suppressed acute, inflammatory, and neuropathic pain. Hypotaurine may regulate nociceptive transmission physiologically by activating glycinergic neurons in the spinal cord, and it is a promising candidate for treating various pain states.     

Integrating gene expression and metabolic profiles

Recent advances in high throughput technologies have generated an abundance of biological information, such as gene expression, protein-protein interaction, and metabolic data. These various types of data capture different aspects of the cellular response to environmental factors. Integrating data from different measurements enhances the ability of modeling frameworks to predict cellular function more accurately and can lead to a more coherent reconstruction of the underlying regulatory network structure. Different techniques, newly developed and borrowed, have been applied for the purpose of extracting this information from experimental data. In this study, we developed a framework to integrate metabolic and gene expression profiles for a hepatocellular system. Specifically, we applied genetic algorithm and partial least square analysis to identify important genes relevant to a specific cellular function. We identified genes 1) whose expression levels quantitatively predict a metabolic function and 2) that play a part in regulating a hepatocellular function and reconstructed their role in the metabolic network. The framework 1) preprocesses the gene expression data using statistical techniques, 2) selects genes using a genetic algorithm and couples them to a partial least squares analysis to predict cellular function, and 3) reconstructs, with the assistance of a literature search, the pathways that regulate cellular function, namely intracellular triglyceride and urea synthesis. This provides a framework for identifying cellular pathways that are active as a function of the environment and in turn helps to uncover the interplay between gene and metabolic networks.     

Intrathecal polymer-based interleukin-10 gene delivery for neuropathic pain

Research on communication between glia and neurons has increased in the past decade. The onset of neuropathic pain, a major clinical problem that is not resolved by available therapeutics, involves activation of spinal cord glia through the release of proinflammatory cytokines in acute animal models of neuropathic pain. Here, we demonstrate for the first time that the spinal action of the proinflammatory cytokine, interleukin 1 (IL-1) is involved in maintaining persistent (2 months) allodynia induced by chronic-constriction injury (CCI). The anti-inflammatory cytokine IL-10 can suppress proinflammatory cytokines and spinal cord glial amplification of pain. Given that IL-1 is a key mediator of neuropathic pain, developing a clinically viable means of long-term delivery of IL-10 to the spinal cord is desirable. High doses of intrathecal IL-10-gene therapy using naked plasmid DNA (free pDNA-IL-10) is effective, but the dose required limits its potential clinical utility. Here we show that intrathecal gene therapy for neuropathic pain is improved sufficiently using two, distinct synthetic polymers, poly(lactic-co-glycolic) and polyethylenimine, that substantially lower doses of pDNA-IL-10 are effective. In conclusion, synthetic polymers used as i.t. gene-delivery systems are well-tolerated and improve the long-duration efficacy of pDNA-IL-10 gene therapy.     

Opioids in neuropathic pain

Pain inhibition can be induced by immune-derived opioids interacting with opioid receptors on peripheral sensory nerves. These receptors are up-regulated in inflammation (1). Opioid peptides are synthesised in circulating immune cells which migrate to injured tissue. This is orchestrated by selectins and other adhesion molecules located on immunocytes and on vascular endothelium (2). In response to releasing stimuli the opioids are secreted, activate peripheral opioid receptors and produce analgesia by inhibiting the excitability of sensory nerves and/or the release of excitatory neuropeptides. These effects occur in the periphery and are devoid of central side-effects such as respiratory depression, sedation, dysphoria or dependence. Targeting of immune cells containing opioids to injured tissues is a novel concept of pain control and opens potential new therapeutic approaches.