Transformation of distinct mycobacterial species by shuttle vectors derived from theMycobacterium fortuitum pAL5000 plasmid

Mycobacterium tuberculosis H37Ra,M. smegmatisATCC 607,M. smegmatis MC²155,M. aurum A +,M. aurum A11, and one representative strain ofM. flavescens were transformed by electroporation with plasmid pMY10 and cosmid pDC100. Plasmid pMY 10 contained the origin of replication of pAL5000, the origin of replication of pBR322, a kanamycin resistance gene, and the origin of transfer of the Inc plasmid RK2; the cosmid pDC100 contained the pHC79 SS cosmid, the origin of replication of pAL5000, and a kanamycin resistance gene. The efficiency of transformation varied with the recipient cells used and was in decreasing order: 7×10⁵ forM. smegmatis MC²155, 6×10³ forM. tuberculosis H37Ra, 10³ forM. aurum, 50 forM. smegmatis ATCC 607, and 5 forM. flavescens. A rapid protocol for plasmid extraction from mycobacteria was developed.The satisfactory transformation of the nonvirulentM. tuberculosis strain H37Ra was of interest for future studies on cloning of virulence genes, while the satisfactory transformation ofM. aurum was of interest for future studies on the genetics of drug resistance because these bacteria are sensitive to drugs specifically used in the treatment of tuberculosis and leprosy. However, neither vector was stably maintained inM. smegmatis, indicating that further investigations are still necessary to resolve this difficulty.     

Resistance to induced apoptosis in the human neuroblastoma cell line SK-N-SH in relation to neuronal differentiation. Role of Bcl-2 protein family.

Much evidence suggests that apoptosis plays a crucial role in cell population homeostasis that depends on the expression of various genes implicated in the control of cell life and death. The sensitivity of human neuroblastoma cells SK-N-SH to undergo apoptosis induced by thapsigargin was examined. SK-N-SH were previously differentiated into neuronal cells by treatments with retinoic acid (RA), 4 beta-phorbol 12-myristate 13-acetate (PMA) which increases protein kinase C (PKC) activity, and staurosporine which decreases PKC activity. Neuronal differentiation was evaluated by gamma-enolase, microtubule associated protein 2 (MAP2) and synaptophysin immunocytochemistry. The sensitivity of the cells to thapsigargin-induced apoptosis was evaluated by cell viability and nuclear fragmentation (Hoechst 33258) and compared with pro-(Bcl-2, Bcl-x(L)) and anti-apoptotic (Bax, Bak) protein expression of the Bcl-2 family. Cells treated with RA and PMA were more resistant to apoptosis than controls. Conversely, the cells treated with staurosporine were more susceptible to apoptosis. In parallel with morphological modifications, the expression of inhibitors and activators of apoptosis was directly dependent upon the differentiating agent used. Bcl-2 expression was strongly increased by PMA and drastically decreased by staurosporine as was Bcl-x(L) expression. Bax and Bak expression were not significantly modified. These results demonstrate that drugs that modulate PKC activity may induce a modification of Bcl-2 expression as well as resistance to the apoptotic process. Furthermore, the expression of Bcl-2 was reduced by toxin B from Clostridium difficile and, to a lesser extent, by wortmannin suggesting a role of small G-protein RhoA and PtdIns3 kinase in the control of Bcl-2 expression. Our data demonstrate a relationship between the continuous activation of PKC, the expression of Bcl-2 protein family and the resistance of differentiated SK-N-SH to apoptosis.     

Deregulation of Cdk5 in a mouse model of ALS: toxicity alleviated by perikaryal neurofilament inclusions

Recent studies suggest that increased activity of cyclin-dependent kinase 5 (Cdk5) may contribute to neuronal death and cytoskeletal abnormalities in Alzheimer's disease. We report here such deregulation of Cdk5 activity associated with the hyperphosphorylation of tau and neurofilament (NF) proteins in mice expressing a mutant superoxide dismutase (SOD1(G37R)) linked to amyotrophic lateral sclerosis (ALS). A Cdk5 involvement in motor neuron degeneration is supported by our analysis of three SOD1(G37R) mouse lines exhibiting perikaryal inclusions of NF proteins. Our results suggest that perikaryal accumulations of NF proteins in motor neurons may alleviate ALS pathogenesis by acting as a phosphorylation sink for Cdk5 activity, thereby reducing the detrimental hyperphosphorylation of tau and other neuronal substrates.     

Petrosal and inner ear anatomy and allometry amongst specimens referred to Litopterna (Placentalia)

New isolated petrosals from the Itaboraí beds of Brazil (late Palaeocene or early Eocene) are here described and referred to the early diverging litoptern Miguelsoria parayirunhor, based on phylogenetic, size, and abundance arguments. Both the external and internal anatomy of these specimens were investigated, which for the first time document many details of the auditory region of a Palaeogene litoptern. Our cladistic analysis, which included our new observations, failed to recover a monophyletic Litopterna but did not exclude it. A constrained analysis for the monophyly of this order showed that several features such as a (sub)quadrangular and anteroposteriorly elongated tensor tympani fossa and a large notch in the vicinity of the external opening of the cochlear canaliculus may constitute synapomorphies for Litopterna. The evolution of several other auditory characters amongst Litopterna is discussed and the relative dimensions of the inner ear and surrounding petrosal in the group were also investigated. This allowed detection of negative allometry of the bony labyrinth within the petrosal, which was confirmed by measurements and regression analysis across a larger sample of placental mammals. This scaling effect probably has an important influence on several characters of the bony labyrinth and petrosal, amongst which are the length of the vestibular aqueduct and cochlear canaliculus. It demonstrates that many aspects of the morphological variation of the bony labyrinth need to be thoroughly investigated before being incorporated into phylogenetic analyses. © 2015 The Linnean Society of London     

Managed Bumblebees Outperform Honeybees in Increasing Peach Fruit Set in China: Different Limiting Processes with Different Pollinators

Peach Prunus persica (L.) Batsch is self-compatible and largely self-fertile, but under greenhouse conditions pollinators must be introduced to achieve good fruit set and quality. Because little work has been done to assess the effectiveness of different pollinators on peach trees under greenhouse conditions, we studied ‘Okubo’ peach in greenhouse tunnels near Beijing between 2012 and 2014. We measured pollen deposition, pollen-tube growth rates, ovary development, and initial fruit set after the flowers were visited by either of two managed pollinators: bumblebees, Bombus patagiatus Nylander, and honeybees, Apis mellifera L. The results show that B. patagiatus is more effective than A. mellifera as a pollinator of peach in greenhouses because of differences in two processes. First, B. patagiatus deposits more pollen grains on peach stigmas than A. mellifera, both during a single visit and during a whole day of open pollination. Second, there are differences in the fertilization performance of the pollen deposited. Half of the flowers visited by B. patagiatus are fertilized 9–11 days after bee visits, while for flowers visited by A. mellifera, half are fertilized 13–15 days after bee visits. Consequently, fruit development is also accelerated by bumblebees, showing that the different pollinators have not only different pollination efficiency, but also influence the subsequent time course of fertilization and fruit set. Flowers visited by B. patagiatus show faster ovary growth and ultimately these flowers produce more fruit. Our work shows that pollinators may influence fruit production beyond the amount of pollen delivered. We show that managed indigenous bumblebees significantly outperform introduced honeybees in increasing peach initial fruit set under greenhouse conditions.     

Gag p27-Specific B- and T-Cell Responses in Simian Immunodeficiency Virus SIVagm-Infected African Green Monkeys

Nonpathogenic simian immunodeficiency virus SIVagm infection of African green monkeys (AGMs) is characterized by the absence of a robust antibody response against Gag p27. To determine if this is accompanied by a selective loss of T-cell responses to Gag p27, we studied CD4⁺ and CD8⁺ T-cell responses against Gag p27 and other SIVagm antigens in the peripheral blood and lymph nodes of acutely and chronically infected AGMs. Our data show that AGMs can mount a T-cell response against Gag p27, indicating that the absence of anti-p27 antibodies is not due to the absence of Gag p27-specific T cells.Simian immunodeficiency virus (SIV) infection in African green monkeys (AGM) is nonpathogenic, even though it is characterized by plasma viral load (PVL) levels similar to those found during acute and chronic pathogenic infection of humans with human immunodeficiency virus type 1 and macaques with SIVmac (14). This feature is shared with other African nonhuman primates, such as sooty mangabeys (SM) and mandrills (19, 20). SIV-infected AGMs also display high viral loads in the gastrointestinal mucosa (11), a transient decline of circulating CD4⁺ T cells during acute infection (13), and longer-lasting CD4⁺ T-cell depletion in the intestinal lamina propia (10). Concomitant with the peak viral load during acute infection, SIVagm-infected AGMs display transient increases of CD4⁺ and CD8⁺ T cells expressing activation, and proliferation markers, such as MHC-II DR and Ki-67 (4, 13), and anti-SIVagm antibodies (Ab) are induced with kinetics similar to those found in SIVmac infection (5). Interestingly, however, the Ab response against Gag p27 is weak, if present at all (1, 2, 12, 15, 17, 18). This observation is surprising since, in the context of human immunodeficiency virus type 1 and SIVmac infections, Ab responses to Gag p27 are usually quite strong. Weak or low reactivity to Gag p27 has also been observed in some other natural SIV infections (7, 8, 20) but not in all of them (21). We wondered whether such a selective lack of Ab reactivity in the SIV-infected AGM might be related to a lack of Gag p27-specific T cells. With this hypothesis in mind, we first confirmed and extended the studies of humoral responses against Gag p27 by characterizing the antigen-specific immunoglobulin G (IgG) responses and mid-point titers against total SIVagm antigens (SIVagm virions) and recombinant Gag p27 (rP27; SIVagm) in naturally and experimentally SIVagm-infected AGMs. Second, we searched for the presence of Gag p27-specific T-cell responses in SIVagm infection by analyzing the CD4⁺ and CD8⁺ T-cell responses specific for Gag p27 and other SIVagm proteins in blood and lymph nodes (LNs) of acutely and chronically infected animals.Humoral responses against SIV were analyzed in 50 wild-born AGMs (Chlorocebus sabaeus) and 17 rhesus macaques (RMs). The animals were housed at the Institut Pasteur in Dakar, Senegal, and the California National Primate Research Center, Davis, CA, respectively, according to institutional and national guidelines. RMs were either noninfected (n = 5) or intravenously infected with SIVmac251 (n = 12). AGMs were noninfected (n = 23), naturally infected (n = 17), or intravenously infected with wild-type SIVagm.sab92018 (n = 10) (5, 9). IgG titers against SIVagm.sab92018 virions or rP27 were determined by an enzyme-linked immunosorbent assay (ELISA) using monkey anti-IgG as secondary Ab (Fig. 1A and B). The virions had been purified by ultracentrifugation on an iodixanol cushion from cell-free supernatants of SIVagm.sab92018-infected SupT1 cells. The His-tagged rP27 was constructed using DNA from gut cells of an SIVagm.sab92018-infected AGM 96011 (11). A Gag p27 PCR product was subcloned into pET-14b, and the recombinant protein was produced in Escherichia coli BL21(DE3)(pLysS) and purified on nitrilotriacetic acid columns. SIV-infected macaques showed high IgG titers cross-reacting with both SIVagm virions (Fig. 1A and B, left panels) and rP27 (Fig. 1A and B, right panels). In contrast, only 2 out of 27 SIV-infected AGMs showed detectable IgG responses against rP27 (Fig. 1A and B, right panels), while 21 out of 27 displayed significant responses against SIVagm virions (Fig. 1A and B, left panels). Two AGMs out of 23 from the negative control group showed weak responses at the limit of detection against SIVagm and two against rP27, suggesting a natural response against SIVagm proteins, cross-reactivity with unknown pathogens, maternal Ab, or recent SIV infection. Of note, the titers against whole SIV in the infected monkeys were higher in macaques than in AGMs, which may be due to a lack of anti-p27 Ab in most AGMs.Open in a separate windowFIG. 1.Cross-sectional analysis of IgG Ab responses against SIVagm or Gag p27 in SIV-infected AGMs and RMs. (A and B) Cross-sectional analysis by ELISA. IgG Ab against SIVagm.sab₉₂₀₁₈ virions or recombinant p27-Gag antigens were determined in SIV-negative (Rh SIV−) and chronically SIVmac₂₅₁-infected (Rh SIV+) RMs and in SIV-negative and chronically SIVagm-infected AGMs that were either naturally (AGM Nat SIV+) or experimentally (AGM Exp SIV+) infected with SIVagm.sab₉₂₀₁₈. Ab titers were calculated for each animal by limited dilution of plasma on coated ELISA plates with 5 μg/ml of (p27 equivalent) virions (left) or 1 μg/ml of the monomeric recombinant protein (rP27) (right). IgG detection by ELISA displayed a high background for rP27, especially at the highest plasma concentration (e.g., 1/100 and 1/400 plasma dilution) in SIV-negative RMs and AGMs. To discriminate between positive responses and background, calculated dose-response curves were compared to theoretical sigmoid-dose response curves corresponding to the 95% confidence interval of SIV-negative animals. By convention, responses were considered background when sigmoid dose-response curves were graphically within the 95% confidence interval of SIV-negative animals and when the calculated negative log 50% effective concentration (EC₅₀) was lower than the top theoretical sigmoid dose-response curve from SIV-negative animals (corresponding to a threshold of negative log EC₅₀ of 2.8). (A) Results (optical density at 450 nm [OD₄₅₀]) are represented for both virions (left) and rP27 (right) over plasma dilution (log₁₀) on a per animal basis (data points) and for each group (lines). Lines represent the sigmoid dose-response curves for each group (Prism 4; Graphpad). (B) Mid-point IgG titers were determined for each animal from individual sigmoid dose-response curves, and presented as the log₁₀ value from the reciprocal of the effective concentration that corresponds to 50% response between minimum and maximum OD₄₅₀ (negative log EC₅₀). Horizontal bars represent the median mid-point titer per each group. Mann-Whitney nonparametric tests were applied for statistical analysis (n.s., nonsignificant, with P values of >0.1) (C) Cross-sectional analysis of Ab against SIVagm proteins by Western blot analysis using denatured SIVagm.sab₉₂₀₁₈. For the positive controls on the left, we used sera from an SIVmac₂₅₁-infected macaque and a SIVagm.sab₉₂₀₁₈-infected AGM. Development times and reagents were identical for all Western blots. Mo, months of infection; y, years of infection; C−, negative control; C+, positive control.The study of IgGs by Western blot analysis using denatured SIVagm.sab92018 virions showed no or weak anti-Gag responses in SIV-infected AGMs, yet the anti-Env responses were often strong (Fig. ​(Fig.1C).1C). In contrast, SIV-infected macaques showed a dominant IgG cross-reactive response against the SIVagm Gag p27 protein. Even if responses in AGMs were detected more frequently with the Western blot analyses than with the ELISAs, these responses were different in magnitude and considerably weaker than those in macaques.To compare B- and T-cell responses over time, five simian T-cell leukemia virus-seronegative AGMs were infected with SIVagm.sab92018, and the animals were followed longitudinally during the acute and postacute phases of infection until day 90 postinfection (p.i.). Sequential blood samples were collected and biopsies of auxiliary and inguinal LNs were performed on day −5 and at three times p.i. (days 14, 43, and 62). PVL was measured by real-time PCR (5). Since we searched for Gag p27-specific responses, we also quantified Gag p27 antigen in the plasma (SIV p27 antigen assay; Coulter, Miami, FL). Viral RNA and p27 antigenemia peaks were observed between days 7 and 14 p.i. (Fig. 2A and B, respectively). The Gag p27 levels were variable among the animals but in a range similar to those reported previously in AGMs and macaques (3, 5). As has also been observed in SIVmac infection (except for rapid progressors), plasma Gag p27 levels fell below the detection level in the postacute phase (i.e., after day 28 p.i.) (Fig. ​(Fig.2B2B and data not shown). There were significant increases in circulating CD8⁺ DR⁺ T cells at days 7 and 14 p.i. and in CD8⁺ Ki-67⁺ T cells at days 14 and 28 p.i. (Fig. 2C and D, left panels). After day 28 p.i., the percentages were no longer statistically different from baseline levels. In LN cells (LNCs), the percentage of CD8⁺ Ki-67⁺ T cells rose from 3.1% ± 1.1% before infection to 6.1% ± 0.3% at day 62 p.i., but the difference was not statistically significant (Fig. ​(Fig.2D,2D, right panel). The levels of blood CD4⁺ DR⁺ Ki-67⁺, CD8⁺ DR⁺ Ki-67⁺, CD8⁺ Ki-67⁺ T cells, and LNC CD8⁺ Ki-67⁺ T cells were positively correlated with viremia (P values of 0.002 for DR⁺ cells and P values of <0.02 for Ki-67⁺ cells). Altogether, these results confirm previous data showing early, transient T-cell activation in the peripheral blood of SIVagm-infected AGMs (13).Open in a separate windowFIG. 2.Plasma viremia and T-cell activation in blood and LNs of five longitudinally followed SIVagm.sab₉₂₀₁₈-infected African green monkeys. (A) SIVagm.sab RNA copy numbers in plasma. (B) Plasma Gag p27 concentrations. (C) Percentages of MHC-II DR-positive CD4⁺ (•) and CD8⁺ (○) T cells within, respectively, total CD4⁺ and CD8⁺ T cells from PBMCs and LNCs. (D) Percentages of Ki-67⁺ CD4⁺ (•) and CD8⁺ (○) T cells within, respectively, total CD4⁺ and CD8⁺ T cells from PBMCs and LNCs. Results are shown as the mean ± the standard error of the mean. Asterisks indicate statistically significant differences compared to levels before infection (P < 0.05).We next looked for the presence of Ab responses against rP27 in these animals. No Ab were detected before infection. After infection, all five AGMs developed anti-SIVagm IgGs within 4 to 9 weeks p.i., with AGM 02001 showing the fastest response (Fig. ​(Fig.3A).3A). While the humoral responses against whole virions were significant (Fig. ​(Fig.3B),3B), the anti-rP27 responses were below the threshold for positivity (Fig. ​(Fig.3B),3B), with the exception of one animal (AGM 02001). The anti-rP27 response in this animal was only transient since it was no longer detectable at week 75 p.i., in contrast to the anti-SIV Ab that were sustained (Fig. ​(Fig.3B3B and data not shown).Open in a separate windowFIG. 3.Longitudinal analysis of IgG titers and T-cell proliferative responses against SIVagm and Gag p27 in five AGMs experimentally infected with SIVagm.sab₉₂₀₁₈. (A and B) Ab responses were analyzed by ELISA. (A) IgG dose-response curves against SIVagm (top) and rP27 (bottom) are shown over time (week −1 to week 24 p.i.). O.D.450, optical density at 450 nm. (B) Mid-point titers were calculated as described in the legend to Fig. ​Fig.1A.1A. Continuous lines correspond to median titers from all five animals. Red, anti-SIVagm IgGs; green, anti-p27 IgGs. (C) Proliferative responses of CD4⁺ and CD8⁺ T cells were assessed by flow cytometry using carboxy fluorescein succinimidyl ester staining (CFSE). CD4⁺ and CD8⁺ T-cell responses in PBMCs (left) and LNCs (right) after stimulation with peptide pools (Gag without P27, P27, and Tat) and Gag rP27 are shown for each animal. All data are reported after background subtraction. Results are presented in columns as the mean ± the standard error of the mean. Asterisks indicate statistically significant differences compared to individual values before infection (P < 0.05).We next searched for T-cell responses against Gag p27 compared to other SIVagm antigens in these animals. Gag p27 epitopes were presented in the following two ways: in the context of rP27 and as synthetic peptides. The peptide pools (comprised of overlapping 15-mers) spanned the following SIVagm proteins: Gag p27, Gag without p27, Env, and Tat. The amino acid sequences of the Gag and Env peptides corresponded to the autologous wild-type SIVagm.sab92018 sequence, and those of the Tat peptides corresponded to an SIVagm.sab consensus sequence. The latter was determined using Tat sequences of other SIVagm viruses from Senegal that are available in the databases (SIVagm.sab1c, SIVagm.sabD42, and SIVagm.sabD30). We measured T-cell responses by investigating the antigen-induced proliferation. T cells from blood (peripheral blood mononuclear cells [PBMCs]) and LNs were analyzed. All assays were performed with fresh cells that were stimulated with 10 μg/ml of Gag rP27 and 5 μg/ml of peptides over a period of 4 days. Dead cells were gated out using 7-amino-actinomycin D, and dividing (CFSE^low) cells were analyzed after stimulation with medium alone, SIV antigens, or concanavalin A as a positive control. We detected significant Gag p27-specific proliferative responses for CD8⁺ T cells in PBMCs and for CD4⁺ and CD8⁺ T cells in LNCs (Fig. ​(Fig.3C).3C). The animal with the detectable anti-p27 Ab (AGM 02001) did not show stronger p27-specific T-cell responses than the other animals. Thus, all SIV-infected AGMs were able to mount a proliferative T-cell response against p27, while anti-p27 IgGs were lacking in four of the animals. However, the SIVagm-specific T-cell responses were detected at only a few time points p.i.We then analyzed the T-cell responses in the chronic phase of AGMs naturally and experimentally infected with SIVagm.sab92018. PVL, peripheral blood cell counts (CD4⁺ and CD8⁺ T cells; CD20⁺ B cells), and immune activation (Ki-67⁺ CD4⁺ and CD8⁺ T cells) were similar in naturally infected and in experimentally infected AGMs (Fig. ​(Fig.4A).4A). As expected, cell counts and immune activation levels were also not different from SIV-negative AGMs (Fig. ​(Fig.4A).4A). Again, we measured SIV-specific responses first by a proliferation assay (Fig. ​(Fig.4B).4B). One out of five animals tested had a proliferative SIV-specific CD4⁺ T-cell response (against Gag without p27, P27, rP27, Env GP120, and Tat), and two animals had a CD8⁺ T-cell response (against P27 in both animals and against Env GP120 and Tat in one). Two animals (one naturally infected and one experimentally infected with SIVagm.sab92018) did not show any detectable antigen-specific proliferative CD4⁺ or CD8⁺ T-cell response.Open in a separate windowFIG. 4.Immune parameters and SIVagm-specific proliferative and cytokine T-cell responses in chronically infected AGMs. (A) Cell counts (CD4⁺ and CD8⁺ T cells; B cells) and immune activation levels (percent of Ki-67⁺ in CD4⁺ and CD8⁺ T cells) in AGMs (n = 4) naturally infected with SIVagm (Nat SIV⁺) and AGMs (n = 6) experimentally infected with SIVagm.sab₉₂₀₁₈ (Exp SIV⁺) compared to uninfected AGMs (n = 10) (SIV⁻). PVL, if known, is indicated. Green, blue, and orange symbols correspond, respectively, to noninfected, naturally infected, and experimentally infected AGMs. (B) Proliferative response to SIVagm antigens in chronically infected AGMs (n = 5) compared to those in uninfected AGMs (n = 3). PBMCs were stimulated with the same antigens as those described in the legend to Fig. ​Fig.3.3. (C) Analysis of cytokine responses (gamma interferon [IFN-γ] and tumor necrosis factor alpha [TNF-α]) by SIVagm-specific T cells. ConA was used as a positive control. Representative results from a single animal are shown here. (D) Cumulative values of SIVagm-specific TNF-α and IFN-γ responses in chronically infected animals. The responses to SIVagm antigens were analyzed in peripheral blood specimens of 4 naturally and 5 experimentally infected AGMs as well as 10 uninfected AGMs. The data are reported after background subtraction corresponding to the subtraction of the frequency of positive events from the unstimulated samples to the frequency of positive events from the antigen-specific stimulation. Proliferative T-cell responses and cytokine T-cell responses in SIV-infected AGMs were defined as positive when higher than 3 standard deviations above the mean responses for uninfected animals. Freq, frequency; w/o, without.These results were extended to an analysis of SIV-specific T-cell cytokine responses, e.g., the production of IFN-γ and TNF-α in nine chronically infected compared to 10 noninfected AGMs (Fig. 4C and D). Fresh cells were stimulated for 8 h with the antigens described above. SIV-specific cytokine responses were detected in CD8⁺ but not in CD4⁺ T cells. Seven animals out of nine showed a response against at least one antigen. The two animals showing no response were among the four naturally infected animals tested. We therefore cannot exclude that the absence of response in these two animals is due to the presence of highly divergent viruses. However, a precise epitope mapping in SIVagm sequences would be necessary to confirm this. In those animals showing a SIVagm-specific cytokine T-cell response, the responses were directed against Gag p27 (four out of nine animals), other Gag proteins than p27 (two out of nine animals), and Env GP120 (four out of nine animals). In the experimentally infected animals, we might have underestimated the responses against Tat compared to Gag and Env antigens, since the Tat peptides corresponded to an SIVagm.sab consensus sequence and not to the autologous virus (SIVagm.sab92018). There was no correlation between the magnitude or breadth of SIV-specific T-cell responses and immune activation or PVL.Altogether, our study demonstrates that AGMs can mount T-cell proliferative and cytokine responses against Gag p27. The T-cell response was variable among the animals. In general, it appeared moderate, comparable to chronically SIV-infected RMs (9). Of note, T-cell responses were not consistently detected at all time points and not in all animals. We cannot exclude the possibility that we underestimated the magnitude of the cytokine responses. For instance, we did not costimulate the cells during the assays. However, cytokine responses were also variable in vervet AGMs, with a trend for reduced levels compared to those for RMs, even when more-sensitive assays were used (23). In SM, the responses were also reported to be not stronger than in RMs. This is in line with the lack of efficient control of viral replication in natural hosts (6, 22).In our study, we show that IgG responses against Gag p27 are either lacking, weak, or transient, while Ab against other SIVagm proteins are present. The mechanisms underlying this selective lack of Gag p27 Ab responses are unclear. It could be related to moderate and/or dysfunctional CD4⁺ T-cell responses and/or due to an unknown suppressive regulatory mechanism. SIV-specific T-cell cytokine responses were indeed principally found at the CD8⁺ T-cell level. This was also reported in SIVsm-infected SM (6, 22). Here, we also searched for SIVagm Gag p27-specific proliferative responses. Interestingly, they were detected for CD4⁺ T cells, indicating the presence of p27-specific CD4⁺ memory cells in AGMs. Moreover, AGMs can potentially mount a strong and sustained anti-Gag p27 humoral response, when appropriately immunized (D. Favre et al., unpublished data). This suggests that there is neither a central B-cell tolerance against p27 Gag protein in AGMs nor an inherent inability for CD4⁺ T cells to provide helper B-cell functions. The transient nature of anti-p27 Ab in one animal would be in favor of regulatory mechanisms, but that needs to be confirmed. Another explanation could be that AGMs are able to mount Ab responses against some p27 epitopes but not to those exposed by the native protein, which would explain why we and others detect more frequently humoral responses in Western blot analysis than in ELISAs (16).In conclusion, we characterized the IgG responses against SIVagm and confirmed a lower humoral response against p27 than in RMs. Moreover, our study reveals that cytokine and proliferative T-cell responses against SIVagm Gag p27 are detectable in AGMs. Thus, the reduced ability of the AGM to produce Ab against Gag p27 p.i. is not related to a lack of Gag p27-specific T cells.     

Intersectin Regulates Dendritic Spine Development and Somatodendritic Endocytosis but Not Synaptic Vesicle Recycling in Hippocampal Neurons

Intersectin-short (intersectin-s) is a multimodule scaffolding protein functioning in constitutive and regulated forms of endocytosis in non-neuronal cells and in synaptic vesicle (SV) recycling at the neuromuscular junction of Drosophila and Caenorhabditis elegans. In vertebrates, alternative splicing generates a second isoform, intersectin-long (intersectin-l), that contains additional modular domains providing a guanine nucleotide exchange factor activity for Cdc42. In mammals, intersectin-s is expressed in multiple tissues and cells, including glia, but excluded from neurons, whereas intersectin-l is a neuron-specific isoform. Thus, intersectin-I may regulate multiple forms of endocytosis in mammalian neurons, including SV endocytosis. We now report, however, that intersectin-l is localized to somatodendritic regions of cultured hippocampal neurons, with some juxtanuclear accumulation, but is excluded from synaptophysin-labeled axon terminals. Consistently, intersectin-l knockdown (KD) does not affect SV recycling. Instead intersectin-l co-localizes with clathrin heavy chain and adaptor protein 2 in the somatodendritic region of neurons, and its KD reduces the rate of transferrin endocytosis. The protein also co-localizes with F-actin at dendritic spines, and intersectin-l KD disrupts spine maturation during development. Our data indicate that intersectin-l is indeed an important regulator of constitutive endocytosis and neuronal development but that it is not a prominent player in the regulated endocytosis of SVs.Clathrin-mediated endocytosis (CME)⁴ is a major mechanism by which cells take up nutrients, control the surface levels of multiple proteins, including ion channels and transporters, and regulate the coupling of signaling receptors to downstream signaling cascades (1-5). In neurons, CME takes on additional specialized roles; it is an important process regulating synaptic vesicle (SV) availability through endocytosis and recycling of SV membranes (6, 7), it shapes synaptic plasticity (8-10), and it is crucial in maintaining synaptic membranes and membrane structure (11).Numerous endocytic accessory proteins participate in CME, interacting with each other and with core components of the endocytic machinery such as clathrin heavy chain (CHC) and adaptor protein-2 (AP-2) through specific modules and peptide motifs (12). One such module is the Eps15 homology domain that binds to proteins bearing NPF motifs (13, 14). Another is the Src homology 3 (SH3) domain, which binds to proline-rich domains in protein partners (15). Intersectin is a multimodule scaffolding protein that interacts with a wide range of proteins, including several involved in CME (16). Intersectin has two N-terminal Eps15 homology domains that are responsible for binding to epsin, SCAMP1, and numb (17-19), a central coil-coiled domain that interacts with Eps15 and SNAP-23 and -25 (17, 20, 21), and five SH3 domains in its C-terminal region that interact with multiple proline-rich domain proteins, including synaptojanin, dynamin, N-WASP, CdGAP, and mSOS (16, 22-25). The rich binding capability of intersectin has linked it to various functions from CME (17, 26, 27) and signaling (22, 28, 29) to mitogenesis (30, 31) and regulation of the actin cytoskeleton (23).Intersectin functions in SV recycling at the neuromuscular junction of Drosophila and C. elegans where it acts as a scaffold, regulating the synaptic levels of endocytic accessory proteins (21, 32-34). In vertebrates, the intersectin gene is subject to alternative splicing, and a longer isoform (intersectin-l) is generated that is expressed exclusively in neurons (26, 28, 35, 36). This isoform has all the binding modules of its short (intersectin-s) counterpart but also has additional domains: a DH and a PH domain that provide guanine nucleotide exchange factor (GEF) activity specific for Cdc42 (23, 37) and a C2 domain at the C terminus. Through its GEF activity and binding to actin regulatory proteins, including N-WASP, intersectin-l has been implicated in actin regulation and the development of dendritic spines (19, 23, 24). In addition, because the rest of the binding modules are shared between intersectin-s and -l, it is generally thought that the two intersectin isoforms have the same endocytic functions. In particular, given the well defined role for the invertebrate orthologs of intersectin-s in SV endocytosis, it is thought that intersectin-l performs this role in mammalian neurons, which lack intersectin-s. Defining the complement of intersectin functional activities in mammalian neurons is particularly relevant given that the protein is involved in the pathophysiology of Down syndrome (DS). Specifically, the intersectin gene is localized on chromosome 21q22.2 and is overexpressed in DS brains (38). Interestingly, alterations in endosomal pathways are a hallmark of DS neurons and neurons from the partial trisomy 16 mouse, Ts65Dn, a model for DS (39, 40). Thus, an endocytic trafficking defect may contribute to the DS disease process.Here, the functional roles of intersectin-l were studied in cultured hippocampal neurons. We find that intersectin-l is localized to the somatodendritic regions of neurons, where it co-localizes with CHC and AP-2 and regulates the uptake of transferrin. Intersectin-l also co-localizes with actin at dendritic spines and disrupting intersectin-l function alters dendritic spine development. In contrast, intersectin-l is absent from presynaptic terminals and has little or no role in SV recycling.     

Loss of Intralipid?- but Not Sevoflurane-Mediated Cardioprotection in Early Type-2 Diabetic Hearts of Fructose-Fed Rats: Importance of ROS Signaling

Background

Insulin resistance and early type-2 diabetes are highly prevalent. However, it is unknown whether Intralipid® and sevoflurane protect the early diabetic heart against ischemia-reperfusion injury.

Methods

Early type-2 diabetic hearts from Sprague-Dawley rats fed for 6 weeks with fructose were exposed to 15 min of ischemia and 30 min of reperfusion. Intralipid® (1%) was administered at the onset of reperfusion. Peri-ischemic sevoflurane (2 vol.-%) served as alternative protection strategy. Recovery of left ventricular function was recorded and the activation of Akt and ERK 1/2 was monitored. Mitochondrial function was assessed by high-resolution respirometry and mitochondrial ROS production was measured by Amplex Red and aconitase activity assays. Acylcarnitine tissue content was measured and concentration-response curves of complex IV inhibition by palmitoylcarnitine were obtained.

Results

Intralipid® did not exert protection in early diabetic hearts, while sevoflurane improved functional recovery. Sevoflurane protection was abolished by concomitant administration of the ROS scavenger N-2-mercaptopropionyl glycine. Sevoflurane, but not Intralipid® produced protective ROS during reperfusion, which activated Akt. Intralipid® failed to inhibit respiratory complex IV, while sevoflurane inhibited complex I. Early diabetic hearts exhibited reduced carnitine-palmitoyl-transferase-1 activity, but palmitoylcarnitine could not rescue protection and enhance postischemic functional recovery. Cardiac mitochondria from early diabetic rats exhibited an increased content of subunit IV-2 of respiratory complex IV and of uncoupling protein-3.

Conclusions

Early type-2 diabetic hearts lose complex IV-mediated protection by Intralipid® potentially due to a switch in complex IV subunit expression and increased mitochondrial uncoupling, but are amenable to complex I-mediated sevoflurane protection.     

Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance Imaging

This work aimed at combining different segmentation approaches to produce a robust and accurate segmentation result. Three to five segmentation results of the left ventricle were combined using the STAPLE algorithm and the reliability of the resulting segmentation was evaluated in comparison with the result of each individual segmentation method. This comparison was performed using a supervised approach based on a reference method. Then, we used an unsupervised statistical evaluation, the extended Regression Without Truth (eRWT) that ranks different methods according to their accuracy in estimating a specific biomarker in a population. The segmentation accuracy was evaluated by estimating six cardiac function parameters resulting from the left ventricle contour delineation using a public cardiac cine MRI database. Eight different segmentation methods, including three expert delineations and five automated methods, were considered, and sixteen combinations of the automated methods using STAPLE were investigated. The supervised and unsupervised evaluations demonstrated that in most cases, STAPLE results provided better estimates than individual automated segmentation methods. Overall, combining different automated segmentation methods improved the reliability of the segmentation result compared to that obtained using an individual method and could achieve the accuracy of an expert.