Proton magnetic resonance spectroscopic imaging of gray and white matter in bipolar-I and schizophrenia.

BACKGROUND: Glutamine plus glutamate (Glx), as well as N-acetylaspartate compounds, (NAAc), a marker of neuronal viability, are quantified with proton magnetic resonance spectroscopy (1H-MRS) and have been reported altered in psychotic disorders. However, few studies have compared these neurometabolites in bipolar disorder and schizophrenia. METHODS: Used 1H-MRS imaging from an axial supraventricular slab of gray matter (GM; medial-frontal and medial-parietal) and white matter (WM; bilateral-frontal and bilateral-parietal) voxels. Bipolar-I with history of psychosis (N = 43), schizophrenia (N = 41) and healthy controls (HC; N = 45) were studied (age range: 17-65). RESULTS: Amongst younger (age ≤40 years-median split) bipolar-I vs HC subjects Glx was increased (p < 0.001), while NAAc was reduced in WM (p < 0.001). In GM, NAAc (p < 0.001) and myo-inositol (p = 0.002) were reduced. Amongst older bipolar-I (vs HC) in WM regions we found reductions in: NAAc (p < 0.001), glycerophospho-choline + phospho-choline (p < 0.001), creatine + phospho-creatine (p < 0.001) and myo-inositol (p < 0.001); in GM only Glx was increased (p < 0.005). Contrasts between bipolar-I and schizophrenia produced fewer results: amongst younger subjects, reduced NAAc (p < 0.001) in WM and lower myo-inositol in GM (p = 0.04) in bipolar-I vs schizophrenia. In the older patients, bipolar-I had lower GM NAAc (p = 0.009) than schizophrenia. LIMITATIONS: First, differential exposure to antipsychotic and mood stabilizing medication across the groups. Second, differences in substance use histories among the groups. Third, neglect of peripheral and ventral cortical and subcortical regions. Finally, limited power to detect bipolar/schizophrenia differences. CONCLUSIONS: Chronically-treated bipolar-I have increased Glx and reduced NAAc, suggestive of neuronal dysfunction. The NAAc reductions are more severe in bipolar-I than in schizophrenia patients.

Estimation of the initial viral growth rate and basic reproductive number during acute HIV-1 infection.

During primary infection, the number of HIV-1 particles in plasma increases rapidly, reaches a peak, and then declines until it reaches a set point level. Understanding the kinetics of primary infection, and its effect on the establishment of chronic infection, is important in defining the early pathogenesis of HIV. We studied the viral dynamics of very early HIV-1 infection in 47 subjects identified through plasma donation screening. We calculated how fast the viral load increases and how variable this parameter is among individuals. We also estimated the basic reproductive ratio, the number of new infected cells generated by an infectious cell at the start of infection when target cells are not limiting. The initial viral doubling time had a median of 0.65 days with an interquartile range of 0.56 to 0.91 days. The median basic reproductive ratio was 8.0 with an interquartile range of 4.9 to 11. In 15 patients, we also observed the postpeak decay of plasma virus and found that the virus decay occurred at a median rate of 0.60 day(-1), corresponding to a half-life of 1.2 days. The median peak viral load was 5.8 log(10) HIV-1 RNA copies/ml, and it was reached 14 days after the virus was quantifiable with an assay, with a lower limit of detection of 50 copies/ml. These results characterize the early plasma viral dynamics in acute HIV infection better than it has been possible thus far. They also better define the challenge that the immune response (or therapeutic intervention) has to overcome to defeat HIV at this early stage.

Initial B-cell responses to transmitted human immunodeficiency virus type 1: virion-binding immunoglobulin M (IgM) and IgG antibodies followed by plasma anti-gp41 antibodies with ineffective control of initial viremia.

A window of opportunity for immune responses to extinguish human immunodeficiency virus type 1 (HIV-1) exists from the moment of transmission through establishment of the latent pool of HIV-1-infected cells. A critical time to study the initial immune responses to the transmitted/founder virus is the eclipse phase of HIV-1 infection (time from transmission to the first appearance of plasma virus), but, to date, this period has been logistically difficult to analyze. To probe B-cell responses immediately following HIV-1 transmission, we have determined envelope-specific antibody responses to autologous and consensus Envs in plasma donors from the United States for whom frequent plasma samples were available at time points immediately before, during, and after HIV-1 plasma viral load (VL) ramp-up in acute infection, and we have modeled the antibody effect on the kinetics of plasma viremia. The first detectable B-cell response was in the form of immune complexes 8 days after plasma virus detection, whereas the first free plasma anti-HIV-1 antibody was to gp41 and appeared 13 days after the appearance of plasma virus. In contrast, envelope gp120-specific antibodies were delayed an additional 14 days. Mathematical modeling of the earliest viral dynamics was performed to determine the impact of antibody on HIV replication in vivo as assessed by plasma VL. Including the initial anti-gp41 immunoglobulin G (IgG), IgM, or both responses in the model did not significantly impact the early dynamics of plasma VL. These results demonstrate that the first IgM and IgG antibodies induced by transmitted HIV-1 are capable of binding virions but have little impact on acute-phase viremia at the timing and magnitude that they occur in natural infection.

The effect of early versus delayed challenge after vaccination in controlling SHIV 89.6P infection.

We sought to determine how effectively a CD8+ T cell inducing vaccine controls SHIV-89.6P infection in rhesus macaques at a range of challenge times post-vaccination. To this end, twenty eight Mamu-A*01+ rhesus macaques were given replication incompetent human serotype 5 adenovirus vector expressing SIVmac239 gag DNA and boosted 24 weeks later. Groups of 4 monkeys were then challenged with SHIV-89.6P at 1, 3, 6, 12, and 24 weeks after the boost. We compared the kinetics of viral load, CD4+ and virus-specific CD8+ T cells in these macaques. Measurements of CD8+ T cells taken before challenge show an exponential decay between 1 and 12 weeks following vaccination (p<0.0001). After week 12, no further decay was observed. Twenty of 24 vaccinated animals maintained more CD4+ T cells and kept their viral load at least one order of magnitude lower than the control animals throughout the chronic phase of the study. All 24 vaccinated animals survived the duration of the study. The viral and T cell kinetics over the first two weeks differed between the vaccinated groups, with more recent vaccination improving the early control of virus (p-value=0.027). The rates of virus specific CD8+ T cell expansion were greater in animals having higher viral loads at one week (r=0.45, p=0.029), suggesting that the kinetics of early viral load may have a role in virus specific CD8+ T cell generation, although these early differences did not lead to different clinical outcomes within the vaccinated animals.

Multiple routes lead to the native state in the energy landscape of the beta-trefoil family.

In general, the energy landscapes of real proteins are sufficiently well designed that the depths of local energetic minima are small compared with the global bias of the native state. Because of the funneled nature of energy landscapes, models that lack energetic frustration have been able to capture the main structural features of the transition states and intermediates found in experimental studies of both small and large proteins. In this study we ask: Are the experimental differences in folding mechanisms among members of a particular structural family due to local topological constraints that deviate from the tertiary fold common to the family? The beta-trefoil structural family members IL-1beta, hisactophilin, and acidic/basic FGFs were chosen to address this question. It has been observed that the topological landscape of the beta-trefoils allows for the population of diverse, geometrically disconnected routes that provide energetically similar but structurally distinct ways for this family to fold. Small changes in topology or energetics can alter the preferred route. Taken together, these results indicate that the global fold of the beta-trefoil family determines the energy landscape but that the routes accessed on that landscape might differ as a result of functional requirements of the individual family members.

Topological frustration and the folding of interleukin-1 beta.

The cytokine, interleukin-1beta (IL-1beta), adopts a beta-trefoil fold. It is known to be much slower folding than similarly sized proteins, despite having a low contact order. Proteins are sufficiently well designed that their folding is not dominated by local energetic traps. Therefore, protein models that encode only the folded structure and are energetically unfrustrated (Go-type), can capture the essentials of the folding routes. We investigate the folding thermodynamics of IL-1beta using such a model and molecular dynamics (MD) simulations. We develop an enhanced sampling technique (a modified multicanonical method) to overcome the sampling problem caused by the slow folding. We find that IL-1beta has a broad and high free energy barrier. In addition, the protein fold causes intermediate unfolding and refolding of some native contacts within the protein along the folding trajectory. This "backtracking" occurs around the barrier region. Complex folds like the beta-trefoil fold and functional loops like the beta-bulge of IL-1beta can make some of the configuration space unavailable to the protein and cause topological frustration.

The native energy landscape for interleukin-1beta. Modulation of the population ensemble through native-state topology.

A minimalist Go-model, with no energetic frustration in the native conformation, has been shown to describe accurately the folding pathway of the beta-trefoil protein, interleukin-1beta (IL-1beta). While it appears that these models successfully model transition states and intermediates between the unfolded and native ensembles, it is unclear how accurately they capture smaller, yet biologically relevant, structural changes within the native ensemble after energetic perturbation. Here, we address the following questions. Can a simple Go-model of interleukin-1beta, based on native topology, describe changes in structural properties of the native ensemble as the protein stability is changed? Or is it necessary to include a more explicit representation of atoms, electrostatic, hydrogen bonding, and van der Waals forces to describe these changes? The native ensemble of IL-1beta was characterized using a variety of experimental probes under native (0 M NaCl, guanidine hydrochloride (Gdn-HCl)), moderately destabilized (0 M NaCl, 0.8 M Gdn-HCl), and in moderate salt concentration (0.8 M NaCl, 0 M Gdn-HCl). Heteronuclear (1)H-(15)N nuclear Overhauser effect spectroscopy (NOESY) and heteronuclear single quantum correlation (HSQC) NMR spectra confirmed that the beta-trefoil global fold was largely intact under these three conditions. However, 25 of the 153 residues throughout the chain did demonstrate (13)C and (1)H-(15)N chemical shifts when perturbed with 0.8 M NaCl or Gdn-HCl. Despite large differences in protection factors from solvent hydrogen-deuterium exchange for all residues between stable (0 M Gdn-HCl) and destabilized (0.8 M Gdn-HCl) IL-1beta, no difference in steady-state (15)N-(1)H NOE enhancements were measured. Thus, the chemical shifts correlate with a global but limited increase in residue flexibility in the presence of Gdn-HCl. Minimalist simulations highlight the regions of greatest position shift between native and 0.8 M Gdn-HCl, which were determined experimentally. This correlation demonstrates that structural changes within the native ensemble of IL-1beta are, at least partially, governed by the principle of minimal energetic frustration.

Quantifying the roughness on the free energy landscape: entropic bottlenecks and protein folding rates.

The prediction of protein folding rates and mechanisms is currently of great interest in the protein folding community. A close comparison between theory and experiment in this area is promising to advance our understanding of the physical-chemical principles governing the folding process. The delicate interplay of entropic and energetic/enthalpic factors in the protein free energy regulates the details of this complex reaction. In this article, we propose the use of topological descriptors to quantify the amount of heterogeneity in the configurational entropy contribution to the free energy. We apply the procedure to a set of 16 two-state folding proteins. The results offer a clean and simple theoretical explanation for the experimentally measured folding rates and mechanisms, in terms of the intrinsic entropic roughness along the populated folding routes on the protein free energy landscape.