Regulation of IRSp53-Dependent Filopodial Dynamics by Antagonism between 14-3-3 Binding and SH3-Mediated Localization

Filopodia are dynamic structures found at the leading edges of most migrating cells. IRSp53 plays a role in filopodium dynamics by coupling actin elongation with membrane protrusion. IRSp53 is a Cdc42 effector protein that contains an N-terminal inverse-BAR (Bin-amphipysin-Rvs) domain (IRSp53/MIM homology domain [IMD]) and an internal SH3 domain that associates with actin regulatory proteins, including Eps8. We demonstrate that the SH3 domain functions to localize IRSp53 to lamellipodia and that IRSp53 mutated in its SH3 domain fails to induce filopodia. Through SH3 domain-swapping experiments, we show that the related IRTKS SH3 domain is not functional in lamellipodial localization. IRSp53 binds to 14-3-3 after phosphorylation in a region that lies between the CRIB and SH3 domains. This association inhibits binding of the IRSp53 SH3 domain to proteins such as WAVE2 and Eps8 and also prevents Cdc42-GTP interaction. The antagonism is achieved by phosphorylation of two related 14-3-3 binding sites at T340 and T360. In the absence of phosphorylation at these sites, filopodium lifetimes in cells expressing exogenous IRSp53 are extended. Our work does not conform to current views that the inverse-BAR domain or Cdc42 controls IRSp53 localization but provides an alternative model of how IRSp53 is recruited (and released) to carry out its functions at lamellipodia and filopodia.The ability of a cell to rapidly respond to extracellular cues and direct cytoskeletal rearrangements is dependent on an array of signaling complexes that control actin assembly (58). The protrusive structures at the leading edges of motile cells are broadly defined as lamellipodia or filopodia (14). Lamellae are sheet-like protrusions composed of dendritic actin arrays that drive membrane expansion, with the “lamellipodium” representing a narrow region at the edge of the cell (in culture) characterized by rapid actin polymerization. This F-actin assembly is suggested to require Arp2/3 activity that nucleates new actin filaments from the sides of existing ones (58, 71) and capping proteins that limit the length of these new filaments and stabilize them (7). Arp2/3 activity in turn is regulated by the WASP/WAVE family of proteins, such as N-WASP and WAVE2 (68), whose regulation is a subject of intense interest (12, 29, 36, 41, 56, 76).Filopodia contain parallel bundles of actin filaments containing fascin (22). These are dynamic structures that emanate from the periphery of the cell and are retracted, with occasional attachment (to the dish in culture). Thus, they have been thought to have a sensory or exploratory role during cell migration (28). This is the case for neuronal growth cones, where filopodia sense attractant or repulsive cues and dictate direction in axonal path finding (9, 17, 25, 35). Filopodia have been shown to be important in the context of dendritic-spine development (64, 77), epithelial-sheet closure (26, 60, 79), and cell invasion/metastasis (80, 83).Lamellipodia have been well characterized since the pioneering work of Abercrombie et al. in the early 1970s (2, 3, 4). Filopodia require symmetry breaking at the leading edge (initiation), followed by elongation driven by a filopodial-tip protein complex (14, 28). A few proteins have been identified in this complex; Mena/Vasp serve to prevent capping at the barbed ends of bundled actin filaments (7, 53), and Dia2 promotes F-actin elongation (57, 85). Termination of filopodial elongation is not understood but nonetheless is likely to be tightly regulated. In the absence of F-actin elongation, retraction of the filopodium takes place by a rearward flow of F-actin and filament depolymerization (22).IRSp53 is in a position to play a pivotal role in generating filopodia; this brain-enriched protein was discovered as a substrate of the insulin receptor (87). Subsequently, IRSp53 was identified as an effector for Rac1 (50) and Cdc42 (27, 38), where it participates in filopodium and lamellipodium production (38, 51, 54, 86), neurite extension (27), dendritic-spine morphogenesis (1, 15, 66, 67), cell motility and invasiveness (24). The N terminus of IRSp53 contains a conserved helical domain that is found in five different gene products and is referred to as the IRSp53/MIM homology domain (IMD) (51, 70). This domain has been postulated to bind to Rac1 (50, 70) in a nucleotide-independent manner (52), but no convincing effector-like region has been identified. A Cdc42-specific CRIB-like sequence that does not bind Rac1 (27, 38) allows coupling of this and perhaps related Rho GTPases. The structure of the IMD reveals a zeppelin-shaped dimer that could bind “bent” membranes; thus, its potential as an F-actin-bundling domain (51, 82) could be an in vitro artifact often attributed to proteins with basic patches (46). Although there are reports of F-actin binding at physiological ionic strength (ca. 100 mM KCl) (82, 19), this region when expressed in isolation does not decorate F-actin in vivo.Two reports showed the IMD to be an “inverse-BAR” domain. BAR (Bin-amphipysin-Rvs) domains are found in proteins involved in endocytic trafficking, such as amphipysin and endophilin, and stabilize positively bent membranes, such as those on endocytic vesicles (31, 47). The IMD domains of both IRSp53 (70) and MIM-B (46) associate with lipids and can induce tubulations of PI(3,4,5)P₃ or PI(4,5)P₂-rich membranes, respectively. These tubulations are equivalent to membrane protrusions and are also referred to as negatively bent membranes. Ectopic expression of the IMD from IRSp53 (51, 70, 82, 86) or two other family members, MIM-B (11, 46) and IRTKS (52), can give rise to cells with many peripheral extensions. MIM-B is said to stimulate lamellipodia (11), while IRTKS generates “short actin clusters” at the cell periphery (52).In IRSp53 is a CRIB-like motif that mediates binding to Cdc42 (27, 38), but the function of this interaction in unclear. Cdc42 could relieve IRSp53 autoinhibition as described for N-Wasp (38), but there is little evidence for this. It has been suggested that Cdc42 controls IRSp53 localization and actin remodeling (27, 38), but another study indicated that these events are Cdc42 independent (19). IRSp53 contains a central SH3 domain that may bind proline-rich proteins, such as Dia1 (23), Mena (38), WAVE2 (49, 50, 69), and Eps8 (19, 24). However, it seems unlikely that all of these represent bona fide partners, and side-by-side comparison is provided in this study. Mena is involved in filopodium production (37), Dia1 in stress fiber formation (81), and WAVE2 in lamellipodium extension (72). Thus, Mena is a better candidate as a partner for IRSp53-mediated filopodia than Dia1 or WAVE2.There is good evidence for IRSp53 as a cellular partner for Eps8 (19). Eps8 is an adaptor protein containing an N-terminal PTB domain that can associate with receptor tyrosine kinases (65), and perhaps β integrins (13), and a C-terminal SH3 domain that can associate with Abi1 (30). Binding of the general adaptor Abi1 appears to positively regulate the actin-capping domain at the C terminus of Eps8 (18). It has been suggested that IRSp53 and Eps8 as a complex regulate cell motility, and perhaps Rac1 activation, via SOS (24); more recently, their roles in filopodium formation have been addressed (19). The involvement of IRSp53, but not MIM-B or IRTKS, in filopodium formation might be related to its role as a Cdc42 effector. We show here that, surprisingly, the CRIB motif is not essential for this activity, but rather, the ability of IRSp53 to associate via its SH3 domain is required, and that this domain is controlled by 14-3-3 binding.We have focused on the regulation of Cdc42 effectors that bind 14-3-3, including IRSp53 and PAK4, which are found as 14-3-3 targets in various proteomic projects (32, 44). In this study, we characterize the binding of 14-3-3 to IRSp53 and uncover how this activity regulates IRSp53 function. The phosphorylation-dependent 14-3-3 binding is GSK3β dependent, and 14-3-3 blocks the accessibility of both the CRIB and SH3 domains of IRSp53, thus indicating its primary function in controlling IRSp53 partners. This regulation of the SH3 domain by 14-3-3 is critical in the proper localization and termination of IRSp53 function to promote filopodium dynamics.     

Ustilago maydis Rho1 and 14-3-3 Homologues Participate in Pathways Controlling Cell Separation and Cell Polarity

Proteins of the 14-3-3 and Rho-GTPase families are functionally conserved eukaryotic proteins that participate in many important cellular processes such as signal transduction, cell cycle regulation, malignant transformation, stress response, and apoptosis. However, the exact role(s) of these proteins in these processes is not entirely understood. Using the fungal maize pathogen, Ustilago maydis, we were able to demonstrate a functional connection between Pdc1 and Rho1, the U. maydis homologues of 14-3-3ɛ and Rho1, respectively. Our experiments suggest that Pdc1 regulates viability, cytokinesis, chromosome condensation, and vacuole formation. Similarly, U. maydis Rho1 is also involved in these three essential processes and exerts an additional function during mating and filamentation. Intriguingly, yeast two-hybrid and epistasis experiments suggest that both Pdc1 and Rho1 could be constituents of the same regulatory cascade(s) controlling cell growth and filamentation in U. maydis. Overexpression of rho1 ameliorated the defects of cells depleted for Pdc1. Furthermore, we found that another small G protein, Rac1, was a suppressor of lethality for both Pdc1 and Rho1. In addition, deletion of cla4, encoding a Rac1 effector kinase, could also rescue cells with Pdc1 depleted. Inferring from these data, we propose a model for Rho1 and Pdc1 functions in U. maydis.Morphological switching is a unique attribute of all dimorphic fungi, which alternate between budding and filamentous growth. In some cases, as with mating, this is a prerequisite for genetic diversity for this subfamily of fungi. In addition, many dimorphic fungal pathogens rely on this ability in order to effectively invade their host. In general, the transition between these alternate life forms means a complete turnover of cellular and proteomic components, which often involves cell cycle arrest and/or cytoskeletal rearrangement. Although the cellular proteomes associated with these two processes share many components, there are both temporal and spatial regulations that are manifested during the transitional phase (4).Temporal-spatial regulation of the proteome during the dimorphic transition requires cooperation and synchronized communication among different regulatory pathways. Two highly intricate, yet well-established, signaling cascades that regulate fungal morphogenesis are the mitogen-activated protein kinase (MAPK) (34, 46) and protein kinase A pathways (11). These signaling cascades detect and perpetuate extracellular stimuli, e.g., pheromones and nutrients, which lead to phase transitions in dimorphic fungi. Although the mechanisms are not as fully understood, members of two highly conserved families of proteins, Rho/Rac GTPases and 14-3-3 proteins, have also been shown to control filamentation. Constituents of the Rho/Rac protein family have been shown to regulate actin organization (26, 35, 36), cytokinesis (3, 49, 52), cell integrity (42, 56), pathogenicity (29), signal transduction (22, 44, 56), and cell migration (8). Their activity is dependent upon the reversible binding of guanine nucleotides catalyzed by guanine nucleotide exchange factors (GEFs) and GTPase activating proteins (GAPs) (15, 22, 23, 25, 44). Upon activation, Rho-GTPases stimulate downstream effector proteins such as p21-activated kinases (PAKs) (29, 51) or Rho kinase (ROCK) (36). Based on in silico analysis of the genome sequence, the fungal pathogen of maize, Ustilago maydis, contains six different Rho/Rac encoding genes: cdc42, rac1, and four additional genes predicted to encode Rho-like proteins (20). Of these, only the roles of Cdc42 and Rac1 have been examined in depth. Cdc42 was shown to regulate cytokinesis, while Rac1 regulates hyphal development in U. maydis (26). We examine here the place of a Rho1 homologue, Rho1, in U. maydis cell morphology, polarity, and development.Similarly, the highly conserved, ubiquitously expressed 14-3-3 proteins that are found in most eukaryotes have also been shown to contribute to cellular differentiation and cytoskeletal organization. Like Rho-GTPases, 14-3-3 proteins play multiple roles, in cytoskeletal function, cell cycle regulation, apoptosis, and the regulation of a variety of signaling pathways (17, 19, 33, 50). These acidic proteins have been found in each cellular compartment and most organisms examined possess multiple isoforms: seven isoforms are found in mammals, and as many as fifteen isoforms have been identified in plants (31). Interestingly, the yeast Saccharomyces cerevisiae, the fruit fly, Drosophila melanogaster, and the nematode, Caenorhabditis elegans, each possess only two 14-3-3 isoforms (50), while Candida albicans contains a single isoform (37). They function typically by binding their particular ligands at phosphoserine or phosphothreonine residues (50). It is not clear what 14-3-3 proteins do in the processes mentioned above, whether they act as scaffolds or effectors. Inspection of the U. maydis genome sequence revealed that this organism could be ideal for the study of 14-3-3 proteins because, unlike most other organisms, the U. maydis genome contains only a single 14-3-3 homologue. Due to its predicted binding of phosphorylated proteins, we named this homologue Pdc1 (for phosphorylation domain coupling protein [10]). Recently, the protein (also designated Bmh1 [32]) was also shown to be involved in cell cycle regulation.Despite the functional differences between Rho-GTPases and 14-3-3 proteins, we provide evidence that members of these two families participate in the same regulatory cascade(s) that control morphogenesis in the dimorphic fungus U. maydis. We are able to demonstrate that both Pdc1 and Rho1 are essential for cell viability. In addition, overexpression of Rho1 led to the reduction of filamentation. Overexpression of Rac1 triggers filamentation in U. maydis (13, 29). We show here that deleting Rac1 eliminates the lethal effect imposed by either Rho1 or Pdc1 depletion. Our results have led us to predict that both Rho1 and Pdc1 are negative regulators of Rac1 in U. maydis and that they play important roles in polarized growth and cytokinesis.     

Identification of a Novel WxSLVK Motif in the N Terminus of Human Immunodeficiency Virus and Simian Immunodeficiency Virus Vif That Is Critical for APOBEC3G and APOBEC3F Neutralization

The function of lentiviral Vif proteins is to neutralize the host antiviral cytidine deaminases APOBEC3G (A3G) and APOBEC3F (A3F). Vif bridges a cullin 5-based E3 ubiquitin ligase with A3G and A3F and mediates their degradation by proteasomes. Recent studies have found that Vif uses different domains to bind to A3G and A3F. A ¹⁴DRMR¹⁷ domain binds to A3F, ⁴⁰YRHHY⁴⁴ binds to A3G, and ⁶⁹YxxL⁷² binds to both A3G and A3F. Here, we report another functional domain of Vif. Previously, we demonstrated that human immunodeficiency virus type 1 (HIV-1) Vif failed to mediate A3G proteasomal degradation when all 16 lysines were mutated to arginines. Here, we show that K26, and to a lesser extent K22, is critical for A3G neutralization. K22 and K26 are part of a conserved ²¹WxSLVK²⁶ (x represents N, K, or H) motif that is found in most primate lentiviruses and that shows species-specific variation. Both K22 and K26 in this motif regulated Vif specificity only for A3G, whereas the SLV residues regulated Vif specificity for both A3F and A3G. Interestingly, SLV and K26 in HIV-1 Vif did not directly mediate Vif interaction with either A3G or A3F. Previously, other groups have reported an important role for W21 in A3F and A3G neutralization. Thus, ²¹WxSLVK²⁶ is a novel functional domain that regulates Vif activity toward both A3F and A3G and is a potential drug target to inhibit Vif activity and block HIV-1 replication.The replication of human immunodeficiency virus type 1 (HIV-1) is seriously impaired in human primary lymphocytes when the viral protein Vif is not present (8, 38). The first cellular target of Vif was identified as APOBEC3G (A3G) (34), which belongs to the cytidine deaminase family known as APOBEC (apolipoprotein B mRNA-editing catalytic polypeptide) (14). This family consists of APOBEC1; activation-induced deaminase (AID); APOBEC2; a subgroup of APOBEC3 (A3) proteins, including A3A, A3B, A3C, A3DE, A3F, A3G, and A3H; and APOBEC4 in humans (12). They have one or two copies of a cytidine deaminase domain with a signature motif (HxEx_23-28PCx_2-4C), and normally only one of the cytidine deaminase domains has deaminase activity.All seven A3 genes have been shown to inhibit the replication of various types of retroviruses via cytidine deamination-dependent or -independent mechanisms (3). In particular, A3B, A3DE, A3F, and A3G inhibit HIV-1 replication, whereas A3A and A3C do not (1, 6, 7, 19, 34, 42, 50). Recently, it was shown that optimizing A3H expression in cell culture also inhibits HIV-1 replication (4, 10, 25, 39). Among these proteins, A3G and A3F have the most potent anti-HIV-1 activities. A3G and A3F share ∼50% sequence similarity but have different biochemical properties (41) and different target sequence preferences while catalyzing cytidine deamination of viral cDNAs (19).Nevertheless, HIV-1 is able to elude this defense mechanism and cause human disease for two reasons. First, A3B and A3H are expressed only at low levels in vivo (4, 7, 18, 26). Second, HIV-1 produces Vif, which is expressed in all lentiviruses except equine infectious anemia virus. Vif can destabilize A3DE, A3F, and A3G proteins by targeting them to the proteasomal degradation pathway (6, 22, 35, 37, 50). In addition, Vif may also inhibit A3 activity independently of proteasomal degradation (15, 16, 31).The action of Vif is highly species specific. Vif from HIV-1 inactivates only A3G from humans, and Vif from simian immunodeficiency virus (SIV) isolated from African green monkeys (AGM) does not inactivate A3G from humans. Nevertheless, Vif from SIV isolated from rhesus macaques (MAC) inactivates A3G from all humans, AGM, and MAC (21). A single residue in A3G at position 128, an aspartic acid in humans versus a lysine in AGM, determines A3G sensitivity to HIV-1 Vif (2, 32, 44). In addition, an N-terminal domain in HIV-1 Vif, ¹⁴DRMR¹⁷, determines Vif specificity for different A3G proteins (33).Vif targets A3G to the proteasome by acting as an adaptor protein that bridges A3G with a cullin 5 (Cul5)-based E3 ubiquitin ligase complex, which includes Cul5, elongin B (EloB), and EloC (46). Vif has a BC box motif (¹⁴⁴S¹⁴⁵L¹⁴⁶Q) that binds to EloC (23, 47) and an HCCH motif (¹¹⁴C/¹³³C) that binds to Cul5 (20, 24, 43). It has also been shown that Vif specifically binds to a region from amino acids 126 to 132 of A3G and to amino acids 283 to 300 of A3F (13, 30). It is believed that as a consequence of these interactions, A3G is polyubiquitylated and directed to 26S proteasomes for degradation.Several domains that determine Vif interactions with A3F and A3G have been identified. Analysis of HIV-1 patient-derived Vif sequences initially found that W11 is essential for A3F recognition and K22, Y40, and E45 are required for A3G recognition (36). The previously identified agmA3G-specific ¹⁴DRMR¹⁷ domain was also found to determine Vif specificity for A3F (33) by direct binding (29). An A3G-specific binding domain, ⁴⁰YRHHY⁴⁴, has also been identified (29), and a ⁶⁹YxxL⁷² domain interacts with both A3G and A3F (11, 28, 45).We have previously shown that Vif can mediate A3G proteasomal degradation in the absence of A3G polyubiquitylation and that, unexpectedly, this process is dependent on lysines in Vif (5). Here, we identify two N-terminal lysines that are important for Vif function. We show that these lysines are part of a ²¹WxSLVK²⁶ motif that is conserved in Vif from primate lentiviruses and that this motif regulates Vif activities against both A3G and A3F via different mechanisms.     

Weekly work hours and clinical activities of Canadian family physicians: results of the 1997/98 National Family Physician Survey of the College of Family Physicians of Canada

BackgroundHealth systems planning is a challenging task, exacerbated by a lack of detailed information on the role played by family physicians, as indicated by practice variations across regions and demographic characteristics. Outcome measures used in past studies of family physician practice patterns were not uniform. Furthermore, past research has generally been limited to narrowly defined geographic regions. A national study of family physician practice patterns was undertaken to allow regional-level comparisons of clinical workload and range of medical services offered.MethodsThe 1997/98 National Family Physician Survey was mailed to a sample of 5198 Canadian family physicians and general practitioners (FP/GPs); the overall response rate was 58.4% (3036 questionnaires returned, of which 3004 were analyzable). Sampling strata were based on College of Family Physicians of Canada (CFPC) membership status and regions of Canada.ResultsClinical workload varied considerably across the demographic categories studied. Male physicians reported 8.9 more total weekly work hours than female physicians, but the mean number of medical and clinical services offered did not differ between the sexes. Solo practitioners reported 53.8 (95% confidence interval [CI] 52.7–55.0) total weekly work hours, whereas those practising in multidisciplinary clinics reported 45.0 (95% CI 43.2–46.8) hours. FP/GPs in the Atlantic and Prairie provinces reported 5.6 and 5.1 more weekly work hours, respectively, than the national average of 51.4 (95% CI 50.8–52.0) hours. Finally, FP/GPs who served inner-city populations reported 48.6 (95% CI 46.8–50.5) total weekly work hours, whereas those serving rural populations reported 57.0 (95% CI 54.7–59.2) hours. Mean weekly work hours were similar for all age cohorts less than 65 years. FP/GPs practising in less populated provinces and in rural areas reported the highest numbers of work hours, medical services offered and clinical procedures performed. InterpretationThese data suggest significant variations in FP/GP clinical workload in relation to key demographic variables. Physician resource planning in Canada is a challenging and inexact science. Past attempts have resulted in variable estimates of the ultimate need for physician services. There is a clear recognition that we need more information than simple head counts of physicians. We need to know, for example, what physicians do and how they work with other physicians, and we need to identify regional variations and differences in practice patterns.Past studies of family physician practice patterns have measured workload in terms of hours worked,^1,2,3 number of patient visits,^2,3 billings to health insurance plans^4,5 and range of clinical procedures performed.^5,6,7 These outcomes have been analyzed in relation to practice setting,^1,2,6,7 geographic physician density,^4,5 sex,^{1,2,3,4,5,6,7} age,^1,2,4,5,7 years in practice^3,6 and type of practice.^1,2,3,6,7Although past studies have proven useful in describing the significant relations that exist between physician workloads and demographic characteristics, they have not addressed the broader issue of access to family physicians'' services throughout Canada. By gathering uniform information from family doctors across the country, the College of Family Physicians of Canada (CFPC) National Family Physician Survey (NFPS) addresses this information gap. In this report we present the results of the 1997/98 NFPS, describing physician workload measures in relation to a comprehensive set of demographic variables.     

Virus Entry via the Alternative Coreceptors CCR3 and FPRL1 Differs by Human Immunodeficiency Virus Type 1 Subtype

Human immunodeficiency virus type 1 (HIV-1) infects target cells by binding to CD4 and a chemokine receptor, most commonly CCR5. CXCR4 is a frequent alternative coreceptor (CoR) in subtype B and D HIV-1 infection, but the importance of many other alternative CoRs remains elusive. We have analyzed HIV-1 envelope (Env) proteins from 66 individuals infected with the major subtypes of HIV-1 to determine if virus entry into highly permissive NP-2 cell lines expressing most known alternative CoRs differed by HIV-1 subtype. We also performed linear regression analysis to determine if virus entry via the major CoR CCR5 correlated with use of any alternative CoR and if this correlation differed by subtype. Virus pseudotyped with subtype B Env showed robust entry via CCR3 that was highly correlated with CCR5 entry efficiency. By contrast, viruses pseudotyped with subtype A and C Env proteins were able to use the recently described alternative CoR FPRL1 more efficiently than CCR3, and use of FPRL1 was correlated with CCR5 entry. Subtype D Env was unable to use either CCR3 or FPRL1 efficiently, a unique pattern of alternative CoR use. These results suggest that each subtype of circulating HIV-1 may be subject to somewhat different selective pressures for Env-mediated entry into target cells and suggest that CCR3 may be used as a surrogate CoR by subtype B while FPRL1 may be used as a surrogate CoR by subtypes A and C. These data may provide insight into development of resistance to CCR5-targeted entry inhibitors and alternative entry pathways for each HIV-1 subtype.Human immunodeficiency virus type 1 (HIV-1) infects target cells by binding first to CD4 and then to a coreceptor (CoR), of which C-C chemokine receptor 5 (CCR5) is the most common (6, 53). CXCR4 is an additional CoR for up to 50% of subtype B and D HIV-1 isolates at very late stages of disease (4, 7, 28, 35). Many other seven-membrane-spanning G-protein-coupled receptors (GPCRs) have been identified as alternative CoRs when expressed on various target cell lines in vitro, including CCR1 (76, 79), CCR2b (24), CCR3 (3, 5, 17, 32, 60), CCR8 (18, 34, 38), GPR1 (27, 65), GPR15/BOB (22), CXCR5 (39), CXCR6/Bonzo/STRL33/TYMSTR (9, 22, 25, 45, 46), APJ (26), CMKLR1/ChemR23 (49, 62), FPLR1 (67, 68), RDC1 (66), and D6 (55). HIV-2 and simian immunodeficiency virus SIVmac isolates more frequently show expanded use of these alternative CoRs than HIV-1 isolates (12, 30, 51, 74), and evidence that alternative CoRs other than CXCR4 mediate infection of primary target cells by HIV-1 isolates is sparse (18, 30, 53, 81). Genetic deficiency in CCR5 expression is highly protective against HIV-1 transmission (21, 36), establishing CCR5 as the primary CoR. The importance of alternative CoRs other than CXCR4 has remained elusive despite many studies (1, 30, 70, 81). Expansion of CoR use from CCR5 to include CXCR4 is frequently associated with the ability to use additional alternative CoRs for viral entry (8, 16, 20, 63, 79) in most but not all studies (29, 33, 40, 77, 78). This finding suggests that the sequence changes in HIV-1 env required for use of CXCR4 as an additional or alternative CoR (14, 15, 31, 37, 41, 57) are likely to increase the potential to use other alternative CoRs.We have used the highly permissive NP-2/CD4 human glioma cell line developed by Soda et al. (69) to classify virus entry via the alternative CoRs CCR1, CCR3, CCR8, GPR1, CXCR6, APJ, CMKLR1/ChemR23, FPRL1, and CXCR4. Full-length molecular clones of 66 env genes from most prevalent HIV-1 subtypes were used to generate infectious virus pseudotypes expressing a luciferase reporter construct (19, 57). Two types of analysis were performed: the level of virus entry mediated by each alternative CoR and linear regression of entry mediated by CCR5 versus all other alternative CoRs. We thus were able to identify patterns of alternative CoR use that were subtype specific and to determine if use of any alternative CoR was correlated or independent of CCR5-mediated entry. The results obtained have implications for the evolution of env function, and the analyses revealed important differences between subtype B Env function and all other HIV-1 subtypes.     

Cultivation of Fastidious Bacteria by Viability Staining and Micromanipulation in a Soil Substrate Membrane System

Soil substrate membrane systems allow for microcultivation of fastidious soil bacteria as mixed microbial communities. We isolated established microcolonies from these membranes by using fluorescence viability staining and micromanipulation. This approach facilitated the recovery of diverse, novel isolates, including the recalcitrant bacterium Leifsonia xyli, a plant pathogen that has never been isolated outside the host.The majority of bacterial species have never been recovered in the laboratory (1, 14, 19, 24). In the last decade, novel cultivation approaches have successfully been used to recover “unculturables” from a diverse range of divisions (23, 25, 29). Most strategies have targeted marine environments (4, 23, 25, 32), but soil offers the potential for the investigation of vast numbers of undescribed species (20, 29). Rapid advances have been made toward culturing soil bacteria by reformulating and diluting traditional media, extending incubation times, and using alternative gelling agents (8, 21, 29).The soil substrate membrane system (SSMS) is a diffusion chamber approach that uses extracts from the soil of interest as the growth substrate, thereby mimicking the environment under investigation (12). The SSMS enriches for slow-growing oligophiles, a proportion of which are subsequently capable of growing on complex media (23, 25, 27, 30, 32). However, the SSMS results in mixed microbial communities, with the consequent difficulty in isolation of individual microcolonies for further characterization (10).Micromanipulation has been widely used for the isolation of specific cell morphotypes for downstream applications in molecular diagnostics or proteomics (5, 15). This simple technology offers the opportunity to select established microcolonies of a specific morphotype from the SSMS when combined with fluorescence visualization (3, 11). Here, we have combined the SSMS, fluorescence viability staining, and advanced micromanipulation for targeted isolation of viable, microcolony-forming soil bacteria.     

Determinants in 3Dpol Modulate the Rate of Growth of Hepatitis A Virus

Hepatitis A virus (HAV), an atypical member of the Picornaviridae, grows poorly in cell culture. To define determinants of HAV growth, we introduced a blasticidin (Bsd) resistance gene into the virus genome and selected variants that grew at high concentrations of Bsd. The mutants grew fast and had increased rates of RNA replication and translation but did not produce significantly higher virus yields. Nucleotide sequence analysis and reverse genetic studies revealed that a T6069G change resulting in a F42L amino acid substitution in the viral polymerase (3D^pol) was required for growth at high Bsd concentrations whereas a silent C7027T mutation enhanced the growth rate. Here, we identified a novel determinant(s) in 3D^pol that controls the kinetics of HAV growth.Hepatitis A virus (HAV) is an atypical member of the Picornaviridae that replicates poorly in cell culture and generally does not cause cytopathic effect (CPE). The HAV positive-strand RNA genome of about 7.5 kb is encapsidated in a 27- to 32-nm icosahedral shell (12). The HAV genome contains a long open reading frame (ORF) that codes for a polyprotein of approximately 250 kDa, which undergoes co- and posttranslational processing by the virus-encoded protease 3C^pro into structural (VP0, VP3, and VP1-2A) and nonstructural proteins (11, 13, 14, 18). VP0 undergoes structural cleavage into VP2 and VP4, and an unknown cellular protease cleaves the VP1-2A precursor (9, 23).HAV replicates inefficiently in cell culture and in general establishes persistent infections (3, 4, 7, 8) without causing CPE. However, some strains of HAV that replicate quickly can induce cell death (5, 19, 27). Due to the growth limitations, experimentation with HAV is difficult and the biology of this virus is poorly understood. To facilitate genetic studies, we recently introduced a blasticidin (Bsd) resistance gene at the 2A-2B junction of wild-type (wt) HAV (16). Bsd, an antibiotic that blocks translation in prokaryotes and eukaryotes and thus affects HAV translation, is inactivated by the Bsd-deaminase encoded in the Bsd resistance gene (15). Cells infected with the wt HAV construct carrying the Bsd resistance gene (HAV-Bsd) grew in the presence of Bsd. We have recently used the wt HAV-Bsd construct to select human hepatoma cell lines that support the stable growth of wt HAV (16) and to establish simple and rapid neutralization and virus titration assays (17). In this study, we developed a genetic approach to study determinants of HAV replication based on the selection of HAV-Bsd variants grown under increased concentrations of Bsd. We hypothesized that by increasing the concentration of Bsd, we would select HAV variants that grew better and allowed the survival of persistently infected cells at higher concentrations of the antibiotic. We also reasoned that we would need a robust HAV-Bsd replication system to provide enough Bsd-deaminase for cell survival. Therefore, we used attenuated HAV grown in rhesus monkey fetal kidney FRhK4 cells as an experimental system because (i) the virus grows 100-fold better in this system than wt HAV in human hepatoma cells (16), and (ii) it already contains cell culture-adapting mutations (3, 4, 7, 8) that are likely to accumulate during passage of wt HAV at high concentrations of Bsd and confound our analysis.     

Species-Specific Cell Wall Binding Affinity of the S-Layer Proteins of Mosquitocidal Bacterium Bacillus sphaericus C3-41

The binding affinities and specificities of six truncated S-layer homology domain (SLH) polypeptides of mosquitocidal Bacillus sphaericus strain C3-41 with the purified cell wall sacculi have been assayed. The results indicated that the SLH polypeptide comprised of amino acids 31 to 210 was responsible for anchoring the S-layer subunits to the rigid cell wall layer via a distinct type of secondary cell wall polymer and that a motif of the recombinant SLH polypeptide comprising amino acids 152 to 210 (rSLH_152-210) was essential for the stable binding of the S-layer with the bacterial cell walls. The quantitative assays revealed that the K_D (equilibrium dissociation constant) values of rSLH_152-210 and rSLH_31-210 with purified cell wall sacculi were 1.11 × 10⁻⁶ M and 1.40 × 10⁻⁶ M, respectively. The qualitative assays demonstrated that the SLH domain of strain C3-41 could bind only to the cell walls or the cells treated with 5 M guanidinium hydrochloride of both toxic and nontoxic B. sphaericus strains but not to those from other bacteria, indicating the species-specific binding of the SLH polypeptide of B. sphaericus with bacterial cell walls.Crystalline bacterial cell surface layers (S-layers) cover the cell surfaces of many bacteria and archaea during all stages of growth and division. S-layers are composed of identical protein or glycoprotein subunits, which can assemble into two-dimensional crystalline arrays and exhibit oblique, square, or hexagonal symmetry (27, 28, 30). S-layers play key roles in the interaction between bacterial cells and environment as protective coats, molecular sieves, ion traps, cell adhesion mediators, and attachment structures (4, 21, 26, 29). Many S-layer proteins possess an N-terminal region with highly conserved amino acid sequences, which is called an S-layer homology (SLH) domain. An SLH domain contains one, two, or three repeating SLH motifs (6, 16). Each SLH motif is composed of about 55 amino acids containing 10 to 15 conserved residues (6, 17). It is suggested that the SLH domain of S-layer proteins is responsible for the binding of the S-layer subunits to the rigid cell wall layer (6, 15, 17, 19, 25), while the middle and C-terminal parts include the domains which are involved in the self-assembly process (27). In the case of Bacillaceae, secondary cell wall polymers (SCWP) are responsible for binding with SLH domains (13, 18, 19), but the SLH domains of some other bacteria have an affinity for peptidoglycan (33).Bacillus sphaericus is a gram-positive soil bacterium that represents a strictly aerobic group of mesophilic endospore-forming bacteria. Due to its specific toxicity to target mosquito larvae and the limited environment impact, some strains of this bacterium have been successfully used worldwide in integrated mosquito control programs. Previous studies revealed that some nontoxic strains of B. sphaericus contained S-layer proteins, and the S-layer proteins of B. sphaericus NCTC 9602, JG-A12, P1, and CCM 2177 have been studied in detail elsewhere (3, 7-9, 12, 22).B. sphaericus C3-41, a highly active strain isolated from a mosquito-breeding site in China in 1987, has different levels of toxicity against Culex spp., Anopheles spp., and Aedes spp. This strain belongs to the flagella serotype H5a5b, like strains 2362 and 1593 (32), and it has been developed as a commercial larvicide (JianBao) for mosquito larva control in China during the last decade (31). The genomic analysis of strain C3-41 revealed that an S-layer protein gene (slpC) (GenBank accession no. {"type":"entrez-nucleotide","attrs":{"text":"EF535606","term_id":"145975949","term_text":"EF535606"}}EF535606) exists on the chromosomal genome and its sequence is identical to the S-layer protein of B. sphaericus 2362 (1, 10), composed of 3,531 bp encoding a protein of 1,176 amino acids with a molecular size of 125 kDa. Although the binding function of S-layers has been identified in some nontoxic B. sphaericus strains (6, 11), it is not well documented in mosquitocidal B. sphaericus strains, and there are few reports on the binding function of each SLH motif and the binding specificity.In this study, the binding affinities and specificities of each SLH motif of S-layer protein from mosquitocidal B. sphaericus C3-41 alone and in combination with the different cell wall preparations have been investigated, and the species-specific binding of SLH polypeptide with bacterial cell walls has been demonstrated.     

The Receptor Complex Associated with Human T-Cell Lymphotropic Virus Type 3 (HTLV-3) Env-Mediated Binding and Entry Is Distinct from,but Overlaps with,the Receptor Complexes of HTLV-1 and HTLV-2

Little is known about the transmission or tropism of the newly discovered human retrovirus, human T-cell lymphotropic virus type 3 (HTLV-3). Here, we examine the entry requirements of HTLV-3 using independently expressed Env proteins. We observed that HTLV-3 surface glycoprotein (SU) binds efficiently to both activated CD4⁺ and CD8⁺ T cells. This contrasts with both HTLV-1 SU, which primarily binds to activated CD4⁺ T cells, and HTLV-2 SU, which primarily binds to activated CD8⁺ T cells. Binding studies with heparan sulfate proteoglycans (HSPGs) and neuropilin-1 (NRP-1), two molecules important for HTLV-1 entry, revealed that these molecules also enhance HTLV-3 SU binding. However, unlike HTLV-1 SU, HTLV-3 SU can bind efficiently in the absence of both HSPGs and NRP-1. Studies of entry performed with HTLV-3 Env-pseudotyped viruses together with SU binding studies revealed that, for HTLV-1, glucose transporter 1 (GLUT-1) functions at a postbinding step during HTLV-3 Env-mediated entry. Further studies revealed that HTLV-3 SU binds efficiently to naïve CD4⁺ T cells, which do not bind either HTLV-1 or HTLV-2 SU and do not express detectable levels of HSPGs, NRP-1, and GLUT-1. These results indicate that the complex of receptor molecules used by HTLV-3 to bind to primary T lymphocytes differs from that of both HTLV-1 and HTLV-2.The primate T-cell lymphotropic virus (PTLV) group of deltaretroviruses consists of three types of human T-cell lymphotropic viruses (HTLVs) (HTLV-1, HTLV-2, HTLV-3), their closely related simian T-cell lymphotropic viruses (STLVs) (STLV-1, STLV-2, STLV-3), an HTLV (HTLV-4) for which a simian counterpart has not been yet identified, and an STLV (STLV-5) originally described as a divergent STLV-1 (5-7, 30, 35, 37, 38, 45, 51, 53). HTLV-1 and HTLV-2, which have a 70% nucleotide homology, differ in both their pathobiology and tropism (reviewed in reference 13). While HTLV-1 causes a neurological disorder (tropical spastic paraparesis/HTLV-1-associated myelopathy) and a hematological disease (adult T-cell leukemia/lymphoma) (15, 42, 55), HTLV-2 is only rarely associated with tropical spastic paraparesis/HTLV-1-associated myelopathy-like disease and is not definitively linked to any lymphoproliferative disease (12, 20). In vivo, both HTLV-1 and HTLV-2 infect T cells. Although HTLV-1 is primarily found in CD4⁺ T cells, other cell types in the peripheral blood of infected individuals have been found to contain HTLV-1, including CD8⁺ T cells, dendritic cells, and B cells (19, 29, 33, 36, 46).Binding and entry of retroviruses requires specific interactions between the Env glycoproteins on the virus and cell surface receptor complexes on target cells. For HTLV-1, three molecules have been identified as important for entry, as follows: heparan sulfate proteoglycans (HSPGs), neuropilin-1 (NRP-1), and glucose transporter 1 (GLUT-1) (16, 22, 26, 28, 29, 34, 39, 44). Recent studies support a model in which HSPG and NRP-1 function during the initial binding of HTLV-1 to target cells, and GLUT-1 functions at a postattachment stage, most likely to facilitate fusion (29, 34, 49). Efficient HTLV-2 binding and entry requires NRP-1 and GLUT-1 but not HSPGs (16, 26, 39, 49).This difference in the molecules required for binding to target cells reflects differences in the T-cell tropisms of these two viruses. Activated CD4⁺ T cells express much higher levels of HSPGs than CD8⁺ T cells (26). In infected individuals, HTLV-1 is primarily found in CD4⁺ T cells, while HTLV-2 is primarily found in CD8⁺ T cells (21, 43, 46). In vitro, HTLV-1 preferentially transforms CD4⁺ T cells while HTLV-2 preferentially transforms CD8⁺ T cells, and this difference has been mapped to the Env proteins (54).We and others have reported the discovery of HTLV-3 in two Cameroonese inhabitants (6, 7, 53). We recently uncovered the presence of a third HTLV-3 strain in a different population living several hundred kilometers away from the previously identified groups (5), suggesting that this virus may be common in central Africa. Since the HTLV-3 sequences were obtained by PCR amplification of DNA isolated from peripheral blood mononuclear cells (PBMCs) of infected individuals, little is known about its tropism and pathobiology in vivo. Based on the correlation between HSPG expression levels and viral tropisms of HTLV-1 and HTLV-2, we reasoned that knowledge about the HTLV-3 receptors might provide insight into the tropism of this virus. We therefore generated vectors expressing HTLV-3 Env proteins and used them to begin to characterize the receptor complex used by HTLV-3 to bind and enter cells.     

An approach to the management of unintentional weight loss in elderly people

UNINTENTIONAL WEIGHT LOSS, or the involuntary decline in total body weight over time, is common among elderly people who live at home. Weight loss in elderly people can have a deleterious effect on the ability to function and on quality of life and is associated with an increase in mortality over a 12-month period. A variety of physical, psychological and social conditions, along with age-related changes, can lead to weight loss, but there may be no identifiable cause in up to one-quarter of patients. We review the incidence and prevalence of weight loss in elderly patients, its impact on morbidity and mortality, the common causes of unintentional weight loss and a clinical approach to diagnosis. Screening tools to detect malnutrition are highlighted, and nonpharmacologic and pharmacologic strategies to minimize or reverse weight loss in older adults are discussed.Unintentional weight loss is the involuntary decline in total body weight over time. In clinical practice, it is encountered in up to 8% of all adult outpatients¹ and 27% of frail people 65 years and older.² Weight loss is an important risk factor in elderly patients. It is associated with increased mortality, which can range from 9% to as high as 38% within 1 to 2.5 years after weight loss has occurred.^1,3,4 Frail elderly people,⁵ people with low baseline body weight,^5,6,7 and elderly patients recently admitted to hospital are particularly susceptible to increased mortality.^8,9 Weight loss is also associated with an increased risk of in-hospital complications,^10,11 a decline in activities of daily living or physical function,^12,13 higher rates of admission to an institution^2,8 and poorer quality of life.¹⁴