At neuronal synapses, activation of group I metabotropic glutamate receptors (mGluR1/5) triggers a form of long-term depression (mGluR-LTD) that relies on new protein synthesis and the internalization of AMPA-type glutamate receptors. Dysregulation of these processes has been implicated in the development of mental disorders such as autism spectrum disorders and therefore merit a better understanding on a molecular level. Here, to study mGluR-induced signaling pathways, we integrated quantitative phosphoproteomics with the analyses of newly synthesized proteins via bio-orthogonal amino acids (azidohomoalanine) in a pulsed labeling strategy in cultured hippocampal neurons stimulated with DHPG, a specific agonist for group I mGluRs. We identified several kinases with important roles in DHPG-induced mGluR activation, which we confirmed using small molecule kinase inhibitors. Furthermore, changes in the AMPA receptor endocytosis pathway in both protein synthesis and protein phosphorylation were identified, whereby Intersectin-1 was validated as a novel player in this pathway. This study revealed several new insights into the molecular pathways downstream of group I mGluR activation in hippocampal neurons, and provides a rich resource for further analyses.

L’utilisation du féminin dans les titres de professions dans le domaine de la santé a beaucoup évolué ces dernières années. Cela reflète une prise de conscience croissante de certaines réalités des métiers de la santé et la reconnaissance de la présence de plus en plus importante des femmes dans le domaine. Vous demandez-vous quand mettre les professions au féminin […]

L’article Quand mettre les professions au féminin dans le domaine de la santé ? est apparu en premier sur Ortho Doc France.

Ankylosing Spondylitis (AS) is a common, inflammatory rheumatic disease, which primarily affects the axial skeleton and is associated with sacroiliitis, uveitis and enthesitis. Unlike other autoimmune rheumatic diseases, such as rheumatoid arthritis or systemic lupus erythematosus, autoantibodies have not yet been reported to be a feature of AS. We therefore wished to determine if plasma from patients with AS contained autoantibodies and if so, characterize and quantify this response in comparison to patients with Rheumatoid Arthritis (RA) and healthy controls. Two high-density nucleic acid programmable protein arrays expressing a total of 3498 proteins were screened with plasma from 25 patients with AS, 17 with RA and 25 healthy controls. Autoantigens identified were subjected to Ingenuity Pathway Analysis in order to determine patterns of signalling cascades or tissue origin. 44% of patients with Ankylosing Spondylitis demonstrated a broad autoantibody response, as compared to 33% of patients with RA and only 8% of healthy controls. Individuals with AS demonstrated autoantibody responses to shared autoantigens, and 60% of autoantigens identified in the AS cohort were restricted to that group. The AS patients autoantibody responses were targeted towards connective, skeletal and muscular tissue, unlike those of RA patients or healthy controls. Thus, patients with AS show evidence of systemic humoral autoimmunity and multispecific autoantibody production. Nucleic Acid Programmable Protein Arrays constitute a powerful tool to study autoimmune diseases.

As the capability of mass spectrometry-based proteomics has matured, tens of thousands of peptides can be measured simultaneously, which has the benefit of offering a systems view of protein expression. However, a major challenge is that with an increase in throughput, protein quantification estimation from the native measured peptides has become a computational task. A limitation to existing computationally-driven protein quantification methods is that most ignore protein variation, such as alternate splicing of the RNA transcript and post-translational modifications or other possible proteoforms, which will affect a significant fraction of the proteome. The consequence of this assumption is that statistical inference at the protein level, and consequently downstream analyses, such as network and pathway modeling, have only limited power for biomarker discovery. Here, we describe a Bayesian model (BP-Quant) that uses statistically derived peptides signatures to identify peptides that are outside the dominant pattern, or the existence of multiple over-expressed patterns to improve relative protein abundance estimates. It is a research-driven approach that utilizes the objectives of the experiment, defined in the context of a standard statistical hypothesis, to identify a set of peptides exhibiting similar statistical behavior relating to a protein. This approach infers that changes in relative protein abundance can be used as a surrogate for changes in function, without necessarily taking into account the effect of differential post-translational modifications, processing, or splicing in altering protein function. We verify the approach using a dilution study from mouse plasma samples and demonstrate that BP-Quant achieves similar accuracy as the current state-of-the-art methods at proteoform identification with significantly better specificity. BP-Quant is available as a MatLab ® and R packages at https://github.com/PNNL-Comp-Mass-Spec/BP-Quant.

Protein tyrosine kinases (PTKs) play key roles in cellular signal transduction, cell cycle regulation, cell division, and cell differentiation. Dysregulation of PTK-activated pathways, often by receptor overexpression, gene amplification, or genetic mutation, is a causal factor underlying numerous cancers. In this study, we have developed a parallel reaction monitoring (PRM)-based assay for quantitative profiling of 83 PTKs. The assay detects 308 proteotypic peptides from 54 receptor tyrosine kinases and 29 nonreceptor tyrosine kinases in a single run. Quantitative comparisons were based on the labeled reference peptide method. We implemented the assay in four cell models: 1) a comparison of proliferating versus epidermal growth factor (EGF)-stimulated A431 cells, 2) a comparison of SW480Null (mutant APC) and SW480APC (APC restored) colon tumor cell lines, and 3) a comparison of 10 colorectal cancer cell lines with different genomic abnormalities, and 4) lung cancer cell lines with either susceptibility (11-18) or acquired resistance (11-18R) to the epidermal growth factor receptor tyrosine kinase inhibitor erlotinib. We observed distinct PTK expression changes that were induced by stimuli, genomic features or drug resistance, which were consistent with previous reports. However, most of the measured expression differences were novel observations. For example, acquired resistance to erlotinib in the 11-18 cell model was associated not only with previously reported upregulation of MET, but also with upregulation of FLK2 and downregulation of LYN and PTK7. Immunoblot analyses and shotgun proteomics data were highly consistent with PRM data. Multiplexed PRM assays provide a targeted, systems-level profiling approach to evaluate cancer-related proteotypes and adaptations. Data are available through Proteome eXchange Accession PXD002706.

This article has been withdrawn by the authors. We discovered an error after this manuscript was published as a Paper in Press. Specifically, we learned that the structures of glycans presented for the PD-L1 peptide were drawn and labeled incorrectly. We wish to withdraw this article and submit a corrected version for review.

Growing implications of glycosylation in physiological occurrences and human disease have prompted intensive focus on revealing glycomic perturbations through absolute and relative quantification. Empowered by seminal methodologies and increasing capacity for detection, identification, and characterization, the past decade has provided a significant increase in the number of suitable strategies for glycan and glycopeptide quantification. Mass spectrometry-based strategies for glycomic quantitation have grown to include metabolic incorporation of stable isotopes, deposition of mass difference and mass defect isotopic labels, and isobaric chemical labeling, providing researchers with ample tools for accurate and robust quantitation. Beyond this, workflows have been designed to harness instrument capability for label-free quantification and numerous software packages have been developed to facilitate reliable spectrum scoring. In this review, we present and highlight the most recent advances in chemical labeling and associated techniques for glycan and glycopeptide quantification.

Sparkling wine is an alcoholic beverage enjoyed around the world. The sensory properties of sparkling wine depend on a complex interplay between the chemical and biochemical components in the final product. Glycoproteins have been linked to positive and negative qualities in sparkling wine, but the glycosylation profiles of sparkling wine have not been previously investigated in detail. We analysed the glyco/proteome of sparkling wines using protein- and glycopeptide-centric approaches. We developed an automated workflow that created ion libraries to analyse Sequential Window Acquisition of all THeoretical mass spectra (SWATH) Data Independent Acquisition (DIA) mass spectrometry data based on glycopeptides identified by Byonic. We applied our workflow to three pairs of experimental sparkling wines to assess the effects of aging on lees and of different yeast strains used in the Liqueur de Tirage for secondary fermentation. We found that aging a cuvée on lees for 24 months compared to 8 months led to a dramatic decrease in overall protein abundance and an enrichment in large glycans at specific sites in some proteins. Secondary fermentation of a Riesling wine with Saccharomyces cerevisiae yeast strain Siha4 produced more yeast proteins and glycoproteins than with S. cerevisiae yeast strain DV10. The abundance and glycosylation profiles of grape glycoproteins were also different between grape varieties. This work represents the first in-depth study into protein- and peptide-specific glycosylation in sparkling wines and describes a quantitative glycoproteomic SWATH/DIA workflow that is broadly applicable to other sample types.

CD4+ T cell responses are crucial for inducing and maintaining effective anti-cancer immunity, and the identification of human leukocyte antigen class II (HLA-II) cancer-specific epitopes is key to the development of potent cancer immunotherapies. In many tumor types, and especially in glioblastoma (GBM), HLA-II complexes are hardly ever naturally expressed. Hence, little is known about immunogenic HLA-II epitopes in GBM. With stable expression of the class II major histocompatibility complex transactivator (CIITA) coupled to a detailed and sensitive mass spectrometry based immunopeptidomics analysis, we here uncovered a remarkable breadth of the HLA-ligandome in HROG02, HROG17 and RA GBM cell lines. The effect of CIITA expression on the induction of the HLA-II presentation machinery was striking in each of the three cell lines, and it was significantly higher compared to interferon gamma (IFN) treatment. In total, we identified 16,123 unique HLA-I peptides and 32,690 unique HLA-II peptides. In order to genuinely define the identified peptides as true HLA ligands, we carefully characterized their association with the different HLA allotypes. In addition, we identified 138 and 279 HLA-I and HLA-II ligands, respectively, most of which are novel in GBM, derived from known GBM-associated tumor-antigens that have been used as source proteins for a variety of GBM vaccines. Our data further indicate that CIITA-expressing GBM cells acquired an antigen presenting cell-like phenotype as we found that they directly present external proteins as HLA-II ligands. Not only that CIITA-expressing GBM cells are attractive models for antigen discovery endeavors, but also such engineered cells have great therapeutic potential through massive presentation of a diverse antigenic repertoire.

The glycoprotein spike (S) on the surface of SARS-CoV-2 is a determinant for viral invasion and host immune response. Herein, we characterized the site-specific N-glycosylation of S protein at the level of intact glycopeptides. All 22 potential N-glycosites were identified in the S-protein protomer and were found to be preserved among the 753 SARS-CoV-2 genome sequences. The glycosites exhibited glycoform heterogeneity as expected for a human cell-expressed protein subunit. We identified masses that correspond to 157 N-glycans, primarily of the complex type. In contrast, the insect cell-expressed S protein contained 38 N-glycans, completely of the high-mannose type. Our results revealed that the glycan types were highly determined by the differential processing of N-glycans among human and insect cells, regardless of the glycosites’ location. Moreover, the N-glycan compositions were conserved among different sizes of subunits. Our study indicate that the S protein N-glycosylation occurs regularly at each site, albeit the occupied N-glycans were diverse and heterogenous. This N-glycosylation landscape and the differential N-glycan patterns among distinct host cells are expected to shed light on the infection mechanism and present a positive view for the development of vaccines and targeted drugs.

Antibodies play essential roles in both diagnostics and therapeutics. Epitope mapping is essential to understand how an antibody works and to protect intellectual property. Given the millions of antibodies for which epitope information is lacking, there is a need for high-throughput epitope mapping. To address this, we developed a strategy, Antibody binding epitope Mapping (AbMap), by combining a phage displayed peptide library with next generation sequencing. Using AbMap, profiles of the peptides bound by 202 antibodies were determined in a single test, and linear epitopes were identified for >50% of the antibodies. Using spike protein (S1 and S2)-enriched antibodies from the convalescent serum of one COVID-19 patient as the input, both linear and conformational epitopes of spike protein specific antibodies were identified. We defined peptide-binding profile of an antibody as the Binding Capacity (BiC). Conceptually, the BiC could serve as a systematic and functional descriptor of any antibody. Requiring at least one order of magnitude less time and money to map linear epitopes than traditional technologies, AbMap allows for high-throughput epitope mapping and creates many possibilities.

Hirschsprung disease (HSCR) is a heterogeneous group of neurocristopathy characterized by the absence of the enteric ganglia along a variable length of the intestine. Genetic defects play a major role in the pathogenesis of HSCR while family studies of pathogenic variants in all the known genes (loci) only demonstrate incomplete penetrance and variable expressivity for unknown reasons. Here, we applied large-scale, quantitative proteomics of human colon tissues from 21 patients using iTRAQ method followed by bioinformatics analysis. Selected findings were confirmed by parallel reaction monitoring (PRM) verification. At last the interesting differentially expressed proteins were confirmed by western blot. A total of 5341 proteins in human colon tissues were identified. Among them, 664 proteins with >1.2-fold difference were identified in 6 groups: groups A1 and A2 pooled protein from the ganglionic and aganglionic colon of male, long-segment HSCR patients (L-HSCR, n=7); groups B1 and B2 pooled protein from the ganglionic and aganglionic colon of male, short-segment HSCR patients (S-HSCR, n=7); and groups C1 and C2 pooled protein from the ganglionic and aganglionic colon of female, S-HSCR patients (n=7). Based on these analyses, 49 proteins from 5 pathways were selected for PRM verification, including ribosome, endocytosis, spliceosome, oxidative phosphorylation and cell adhesion. The downregulation of three neuron projection development genes ARF4, KIF5B and RAB8A in the aganglionic part of the colon were verified in 15 paired colon samples using WB. The findings of this study will shed new light on the pathogenesis of HSCR and facilitate the development of therapeutic targets.

The Rhizobium-legume symbiosis is a beneficial interaction in which the bacterium converts atmospheric nitrogen into ammonia and delivers it to the plant in exchange for carbon compounds. This symbiosis implies the adaptation of bacteria to live inside host plant cells. In this work we apply RP-LC-MS/MS and  iTRAQ techniques to study the proteomic profile of endosymbiotic cells (bacteroids) induced by Rhizobium leguminosarum bv viciae strain UPM791 in legume nodules. Nitrogenase subunits, tricarboxylic acid cycle enzymes, and stress response proteins are amongst the most abundant from over one thousand rhizobial proteins identified in pea (Pisum sativum) bacteroids. Comparative analysis of bacteroids induced in pea and in lentil (Lens culinaris)nodules revealed the existence of a significant host-specific differential response affecting dozens of bacterial proteins, including stress-related proteins, transcriptional regulators, and proteins involved in the carbon and nitrogen metabolisms. A mutant affected in one of these proteins, homologous to a GntR-like transcriptional regulator, showed a symbiotic performance significantly  impaired in symbiosis with pea, but not with lentil plants. Analysis of the proteomes of bacteroids isolated from both hosts also revealed the presence of different sets of plant-derived nodule-specific cysteine rich (NCR) peptides, indicating that the endosymbiotic bacteria find a host-specific cocktail of chemical stressors inside the nodule. By studying variations of the bacterial response to different plant cell environments we will be able to identify specific limitations imposed by the host that might give us clues for the improvement of rhizobial performance.

The early detection of pancreatic ductal adenocarcinoma is a complex clinical obstacle yet is key to improving the overall likelihood of patient survival. Current and prospective carbohydrate biomarkers CA19-9 and sTRA are sufficient for surveilling disease progression yet are not approved for delineating PDAC from other abdominal cancers and non-cancerous pancreatic pathologies. To further understand these glycan epitopes, an imaging mass spectrometry approach was utilized to assess the N-glycome of the human pancreas and pancreatic cancer in a cohort of PDAC patients represented by tissue microarrays and whole tissue sections. Orthogonally, these same tissues were characterized by multi-round immunofluorescence which defined expression of CA19-9 and sTRA as well as other lectins towards carbohydrate epitopes with the potential to improve PDAC diagnosis. These analyses revealed distinct differences not only in N-glycan spatial localization across both healthy and diseased tissues but importantly between different biomarker-categorized tissue samples. Unique sulfated bi-antennary N-glycans were detected specifically in normal pancreatic islets. N-glycans from CA19-9 expressing tissues tended to be bi-, tri- and tetra-antennary structures with both core and terminal fucose residues and bisecting N-acetylglucosamines. These N-glycans were detected in less abundance in sTRA-expressing tumor tissues, which favored tri- and tetra-antennary structures with polylactosamine extensions. Increased sialylation of N-glycans was detected in all tumor tissues. A candidate new biomarker derived from IMS was further explored by fluorescence staining with selected lectins on the same tissues. The lectins confirmed the expression of the epitopes in cancer cells and revealed different tumor-associated staining patterns between glycans with bisecting GlcNAc and those with terminal GlcNAc. Thus, the combination of lectin-IHC and IMS techniques produces more complete information for tumor classification than the individual analyses alone. These findings potentiate the development of early assessment technologies to rapidly and specifically identify PDAC in the clinic that may directly impact patient outcomes.

To identify novel autoantibodies of Takayasu arteritis (TAK) using HuProt array-based approach. A two-phase approach was adopted. In Phase I, serum samples collected from 40 TAK patients, 15 autoimmune disease patients, and 20 healthy subjects were screened to identify TAK-specific autoantibodies using human protein (HuProt) arrays. In Phase II, the identified candidate autoantibodies were validated with TAK-focused arrays using an additional cohort comprised of 109 TAK patients, 110 autoimmune disease patients, and 96 healthy subjects. Subsequently, the TAK-specific autoantibodies validated in Phase II were further confirmed using Western blot analysis. We identified and validated eight autoantibodies as potential TAK-specific diagnostic biomarkers, including anti-SPATA7, -QDPR, -SLC25A2, -PRH2, -DIXDC1, -IL17RB, -ZFAND4, and -NOLC1 antibodies, with AUC of 0.803, 0.801, 0.780, 0.696, 0.695, 0.678, 0.635 and 0.613, respectively. SPATA7 could distinguish TAK from healthy and disease controls with 73.4% sensitivity at 85.4% specificity, while QDPR showed 71.6% sensitivity at 86.4% specificity. SLC25A22 showed the highest sensitivity of 80.7%, but at lower specificity of 67.0%. In addition, PRH2, IL17RB and NOLC1 showed good specificities of 88.3%, 85.9% and 86.9%, respectively, but at lower sensitivities (<50%). Finally, DIXDC1 and ZFAND4 showed moderate performance as compared with the other autoantibodies. Using a decision tree model, we could reach a specificity of 94.2% with AUC of 0.843, a significantly improved performance as compared to that by each individual biomarker. The performance of three autoantibodies, namely anti-SPATA7, -QDPR and -PRH2, were successfully confirmed with Western blot analysis. Using this two-phase strategy, we identified and validated eight novel autoantibodies as TAK–specific biomarker candidates, three of which could be readily adopted in a clinical setting.

Exploring Transatlantic Responses to Far-right Populism in Europe: Simulation Exercise Research paper sysadmin 1 May 2018

A new paper summarizes the findings of a recent simulation exercise exploring how governments on both sides of the Atlantic might respond to a descent towards populist authoritarianism in an EU member state.

Summary

• To better understand how governments on both sides of the Atlantic might respond to a descent towards populist authoritarianism in an EU member state, Chatham House organized a simulation event involving a group of experts drawn from the public sector, academia and NGOs.
• Simulation exercises enable the testing and modelling of the responses of different actors when presented with specific situations; participants’ interactions in a given set of circumstances are explored, and patterns of negotiation are captured and analysed.
• In this simulation, European, US and multilateral representatives were given the task of managing relations with Baltia, a fictional Eastern European state on the verge of electing a far-right nationalist, Eurosceptic government. They were then challenged to manage their relationship with Baltia after it had elected such a government, which was pushing for a ‘leave’ vote in a planned referendum on the country’s continued EU membership.
• The simulation highlighted a number of issues:
  • Limited instruments are available to liberal democratic governments where there is cause for concern regarding the outcome of an election in an allied country. There are relatively few tools at the disposal of governments to support political allies, or to prevent outcomes that are perceived as threatening democratic norms. The simulation reinforced the view that interventionist moves, either from the European Commission or from individual national governments, would be more likely to come in response to an unfavourable development rather than pre-emptively.
  • The EU, and caucuses of European states, are the main international interlocutors in this type of political crisis involving an EU member state. The US opted to play a limited role in the negotiations; the same was largely true for NATO, aside from its action in sharing intelligence about a potential coup in Baltia. France and Germany formed a natural working partnership, taking meetings together and coordinating policies first before discussing them with a wider European circle, although their positions did not always align.
  • The UK’s capacity to shape the outcome of collective EU discussions appeared more restricted, while Brexit also seemed to shape the response of other EU states to the developing situation in Baltia. Although member states were undoubtedly reluctant to see another country go down this route, they were also resolute in demonstrating a unity of approach and limited flexibility in the face of the new populist government’s attempt to divide them.

Mike Trout and owner Arte Moreno met separately with the media on Monday, but neither would confirm that extension talks have begun between the Angels and Trout's agent, Craig Landis.

VOLUME 289 (2014) PAGES 6604–6618In Fig. 4G, in the foxi1 panel, the images in Fig. 4G, i and l, corresponding to “smad1 MO” and “smad5 MO + samd1/9 mRNA” samples, respectively, were inadvertently reused during figure preparation. This error has now been corrected using images pertaining to each treatment and sample. This correction does not affect the results or conclusions of the work.jbc;295/52/18650/F4F1F4Figure 4G.

Tsvangirai Leaves an Important Political Legacy in Southern Africa Expert comment sysadmin 21 February 2018

The story of Zimbabwe’s ‘people’s champion’ offers a powerful example to a region in need of new political compromises.

The death of Movement for Democratic Change (MDC) leader Morgan Tsvangirai is a loss for Zimbabwe. In nearly three decades of speaking truth to power, Tsvangirai helped to change his nation and the region.

Southern Africa’s new politics

His death marks a period of transition for regional governments and opposition parties alike. The Zuma era has ended in South Africa while Mozambique, Namibia and Angola have also seen political transitions, pushing modernization agendas to appeal to young citizenries that increasingly see politics in separate terms from the liberationist struggles of the previous generation.

Regional opposition movements also face winds of change: the longstanding opposition leader in the Democratic Republic of the Congo, Etienne Tshekedi, passed away in 2017, and Mozambique’s Afonso Dhlakama and Kenya’s Raila Odinga are both aging. These movements similarly need to appeal to a younger audience or risk losing relevance.

From trade unionist to opposition leader

Tsvangirai’s career is an eloquent illustration of these challenges. Born in Buhera in rural eastern Zimbabwe, Tsvangirai worked in textiles and mining before politics – diverse experience which gave him crucial exposure to the lives of ordinary people across the country. In his early years, he also worked for ZANU-PF, before leaving to forge his own political path. He became increasingly active in mining politics, rising to the executive of the National Mineworker’s Union and, in 1989, to secretary-general of the powerful Zimbabwe Congress of Trade Unions.

In the late 1990’s, Zimbabwe was riven by questions over land, war veterans, the Congo conflict, a shrinking economy and growing doubts about ZANU-PF itself. Opposition leaders of the time could not answer them; those such as Edgar Tekere and Margaret Dongo struggled to win support beyond their local constituencies, and liberation leader Joshua Nkomo’s ZAPU had been merged with ZANU-PF in the 1987 Unity Accord.

But in 2000, Zimbabwe’s ‘perfect storm’ of a divisive constitutional referendum, land redistribution and a June election made Tsvangirai and the newly minted MDC, formed in 1999, a national rival to ZANU-PF. Through subsequent national elections in 2002, 2005, 2008 and 2013, Zimbabwe remained polarized between competing visions of Zimbabwe future: ZANU-PF’s powerful black liberationist politics of identity and the opposition’s equally compelling liberal democracy agenda.

Tsvangirai’s achievement was to provide a credible alternative to liberation icon Robert Mugabe. Tsvangirai also resuscitated Zimbabwe’s tradition of urban nationalism, and was a successor to Benjamin Burombo and other mid-century Zimbabwean urban leaders. Tsvangirai would in turn be a touchstone for contemporary urban activists Evans Mawarire, Linda Masarira and others.

From opposition to coalition

The political struggle for Zimbabwe became global, with Mugabe and Tsvangirai both winning support from rival international power blocs. In March 2007, pictures of a beaten and bloodied Tsvangirai helped to galvanize support for the MDC in the 2008 elections. But the disputed result and violent subsequent run-off between Tsvangirai and Mugabe led the regional community to push both men into a coalition government, with Tsvangirai as prime minister.

Despite continuous ructions, the Government of National Unity (GNU) held, and stabilized Zimbabwe’s collapsed economy, until 2013. Although often politically out-manoeuvred by Mugabe, Tsvangirai deserves credit for getting the opposition a share of political power and for holding his nerve against many who wanted to collapse the GNU.

Tsvangirai was no saint; his complicated love life, and tacit approval of violent attacks on party dissenters, do him no credit. More importantly, the MDC neglected its grassroots supporters during the GNU, and paid the price in its comprehensive 2013 electoral defeat. But although diminished, Tsvangirai remained Zimbabwe’s most popular opposition politician, and the MDC’s new leaders will have quite a task ahead of them, even if they have been planning since his courageous 2016 public admission of colon cancer.

The MDC after Tsvangirai

Nelson Chamisa, one of the three MDC vice presidents, has now been appointed as acting president by the party’s national committee. Chamisa inherits a fractured and fractious party, and one which has also fallen out with the Tsvangirai family. The other two vice presidents, Thokozani Khupe and Elias Mudzuri, have also set their sights on party leadership.

At 40, Chamisa, an orator with grassroots appeal, has a huge task. With general elections due by July, he has to unite the party, counter Zimbabwe’s rising ethno-politics, prove himself as leader of a broader opposition coalition and take on a resurgent President Emmerson Mnangagwa and ZANU-PF.

Electorally, the opposition’s strongest card has always been the urban vote and the economy. But Mnangagwa has fast forwarded a comprehensive economic reform and internationalist agenda. This, and Mugabe’s exit, have forced Chamisa, Joice Mujuru and other opposition leaders to play catch-up. Zimbabwe’s elections, the first since 2000 without Mugabe and Tsvangirai as contenders, will be of global interest as the country navigates the new political dynamics.

The people’s champion

Morgan Tsvangirai’s resilience earned him respect from friends and foes alike, with Zimbabwe’s President Mnangagwa and Vice President Constantino Chiwenga visiting him at home a few weeks ago. A former nominee for the Nobel Peace Prize, Tsvangirai, popularly known by his totem of ‘Save’ and also called mudhara [the old man] deserves national hero status. He will certainly be remembered as the ‘people’s champion’, and a pioneer in bridging the generational and ideological fissures that have shaped Southern Africa’s politics.

With their leader now gone, the turbulent MDC will undoubtedly be hoping for a ‘remembrance vote’ in his memory to carry them through the elections. But beyond that, his story offers a powerful example to a region in need of new political compromises.

Zimbabwe's Elections Were Meant to Start a New Era Expert comment sysadmin 14 August 2018

Emmerson Mnangagwa has been declared president of Zimbabwe amid protests and violence but Zimbabweans are now in a post-political, economy-first mood, writes Knox Chitiyo.

Before Zimbabwe’s general election on 30 July, there was a lot of talk about there being ‘landmark change’ and ‘credibility.’ But in many ways it was déjà vu. President Emmerson Mnangagwa’s ruling ZANU-PF party won the parliamentary vote, taking a majority 144 seats out of 210. The opposition MDC Alliance, a seven-party coalition led by Nelson Chamisa, won 64 seats—an improvement on their 2013 showing of 44 seats, but still falling far short of expectations.

The presidential results were much closer. After clashes on Wednesday, the incumbent Mnangagwa was declared winner early Friday morning, taking 50.8 per cent of the vote against Chamisa’s 44.3 per cent. The 21 other independent presidential candidates polled less than 5 per cent between them.

The polls didn’t quite live up to the hype. There was much that was positive: the prelude and election day were peaceful, with a minimal military presence. Opposition candidates were able to hold nationwide rallies (including in ZANU-PF’s rural heartland) without interference—an electoral first. ZANU-PF leaders and the military called for a peaceful process. Four women candidates contested the presidential vote, another first. More than 5 million Zimbabweans registered out of an eligible voting population of 7.2 million, and there was a near record 75 per cent turnout on voting day. Zimbabwe invited official observers from 46 countries and 15 international organizations, and, for the first time since 2002, observers from the EU, the Commonwealth and the US were present.

But shortcomings included late public access to the imperfect biometric voters roll and controversies about the ballot papers. There were also misogynistic social media attacks and threats against female candidates and the Zimbabwe Electoral Commission (ZEC) chair Justice Priscilla Chigumba.

The three-day wait for presidential results saw a further decline in public trust in the ZEC, and the opposition’s premature announcement of a Chamisa victory only fanned the political flames.

On Wednesday, six unarmed civilians were shot dead by soldiers in Harare, with dozens more assaulted. A Joint International Observer Mission statement promptly condemned the violence and called for restraint.

The election process was a boon for democracy, but ironically the result has entrenched the two-party parliamentary system and marginalized alternative voices. Mnangagwa has been conciliatory in his post-election statements, saying that Nelson Chamisa has a ‘crucial role to play’ and calling for unity to ‘build a new Zimbabwe for all.’

But Chamisa’s MDC Alliance has refused to accept the results, calling them ‘fake’ and a ‘scandal.’ The MDC has raised genuine transparency concerns and will likely challenge the results in court, but much of this may be cosmetic—with little chance of a 2017 Kenya-style presidential re-run. There is no critical mass of opposition parties to sustain a challenge, nor is there a popular appetite for a protracted political feud.

Zimbabwe’s democracy agenda may be heading into the slow lane, and Chamisa may be pressured by his coalition partners to make a political accommodation with Mnangagwa. Nevertheless, despite setbacks, Zimbabwe’s opposition and civil society has a long history of resilience under pressure and the struggle for democracy will continue.

Mnangagwa has a full in-tray. He has to unite a fractious ZANU-PF and manage internal civil-military and generational faultlines. Beyond that, he may need a public reconciliation with Chamisa—similar to how in Kenya and Mozambique, similar incumbent-opposition quarrels were mended by public rapprochements.

But Zimbabweans are now in a post-political, economy-first mood. Resolving the cash crisis is crucial. Few Zimbabweans can withdraw more than $50 a day from banks or ATMs—and much of this is paid out in unpopular ‘bond coins.’ The formal sector has contracted to only 20 per cent of the economy, and the informal sector lacks the capacity to push an economic renewal.

Zimbabwe’s new internationalism is premised upon the 2015 Lima process economic reform pathway for debt arrears clearance. (The country has a $10 billion foreign debt.) There has been a modest increase in foreign and diaspora investment, but the big-money Chinese, Russian and other pledges are long-horizon projects. What Zimbabwe needs is a short-term economic stimulus—to support small and medium-sized businesses.

For this to happen, Mnangagwa has to stay the course on economic reform, ease of doing business and the anti-corruption agenda. The pivot from reform to transformation in Zimbabwe will require all hands on deck, including civil society, the opposition, Zimbabwe diaspora and foreign investors, in a partnership for development.

A positive global verdict on the elections could supercharge investment, but time will tell whether these polls have been a deal-maker or a deal-breaker.

Zimbabwe’s elections often split the global south and the global north, and this could be the case again. The EU will have to decide whether to continue their incremental rapprochement with Zimbabwe, or accelerate to the reciprocity-based, ‘Re-Engagement 2.0’ approach currently favoured by the UK although the US is unlikely to lift statutory sanctions anytime soon.

Zimbabwe’s possible return to the Commonwealth could also be divisive, given the broader global context of the perceived existential clash between beleaguered liberal democracy and the rise of populist—and popular—autocracies across the globe.

President Mnangagwa—along with South Africa’s President Cyril Ramaphosa, Mozambique’s Filipe Nyusi and others—belong to a pragmatic new wave of regional economic reformers nudging liberationism away from ideology. He now has an electoral mandate to lead a divided country. For sisters Chipo and Tendai, both businesswomen based in Harare who voted for Mnangagwa and Chamisa respectively, the future needs to come now. ‘There is too much talk,’ they said, ‘we live every day between hope and despair. We need cash and jobs. We are tired of being tired.’

This was originally published in TIME.

Economic Recovery and Anticorruption in South Africa: Assessing Progress on the Reform Agenda 4 December 2019 — 3:00PM TO 4:00PM Anonymous (not verified) 25 November 2019 Chatham House | 10 St James's Square | London | SW1Y 4LE

South Africa has significant economic potential based on its resource endowment, quality human capital and well-developed infrastructure compared to the region. However, the country’s economic growth rate has not topped 2 per cent since 2013, and in 2018, was below 1 per cent. This has put a strain on citizens and communities in a country that still suffers from structural inequality, poverty and high unemployment. Economic recovery and anti-corruption were the central pillars of President Cyril Ramaphosa’s 2019 electoral campaign and he has set an investment target of $100 billion. However, voters and investors alike are demanding faster and more visible progress from the country’s enigmatic leader who has a reputation for caution and calculation.

At this event, Professor Nick Binedell will discuss the progress of and opposition to the president’s economic reform agenda and the opportunities for international investment to support long term inclusive and sustainable growth in South Africa.

Attendance at this event is by invitation only.

A new transatlantic relationship? 4 October 2022 — 6:30PM TO 7:30PM Anonymous (not verified) 22 September 2022 Chatham House and Online

US senator Jeanne Shaheen examines the implications of new UK leadership, the war in Ukraine, and NATO expansion for the US–UK relationship.

In recent weeks, the UK has ushered in a new prime minister and a new monarch. The US will hold potentially power-shifting mid-term elections in November after nearly two years of the Biden presidency that promised to bring the US ‘back’ as a global leader in international affairs.

These leadership changes come at a time when Europe is at war, NATO is expanding and US–China competition is re-ordering long-held alliances. Old assumptions about foreign policy are in flux in the midst of huge international challenges.

Democratic senator Shaheen, a senior member of the Senate Foreign Relations Committee, explores how these changes might influence the US–UK ‘special’ relationship.

• How will the trajectory of Russia’s war on Ukraine influence the bilateral relationship? What leadership is needed now?

• What does Russia’s war on Ukraine mean for NATO in responding to other pressing security challenges?

• What domestic constraints might limit the US’s power to reinsert itself as a global leader?

As with all Chatham House member events, questions from the members drive the conversation.

Read the transcript. 

Quantification of ¹⁸F-FDG PET images is useful for accurate diagnosis and evaluation of various brain diseases, including brain tumors, epilepsy, dementia, and Parkinson disease. However, accurate quantification of ¹⁸F-FDG PET images requires matched 3-dimensional T₁ MRI scans of the same individuals to provide detailed information on brain anatomy. In this paper, we propose a transfer learning approach to adapt a pretrained deep neural network model from amyloid PET to spatially normalize ¹⁸F-FDG PET images without the need for 3-dimensional MRI. Methods: The proposed method is based on a deep learning model for automatic spatial normalization of ¹⁸F-FDG brain PET images, which was developed by fine-tuning a pretrained model for amyloid PET using only 103 ¹⁸F-FDG PET and MR images. After training, the algorithm was tested on 65 internal and 78 external test sets. All T₁ MR images with a 1-mm isotropic voxel size were processed with FreeSurfer software to provide cortical segmentation maps used to extract a ground-truth regional SUV ratio using cerebellar gray matter as a reference region. These values were compared with those from spatial normalization-based quantification methods using the proposed method and statistical parametric mapping software. Results: The proposed method showed superior spatial normalization compared with statistical parametric mapping, as evidenced by increased normalized mutual information and better size and shape matching in PET images. Quantitative evaluation revealed a consistently higher SUV ratio correlation and intraclass correlation coefficients for the proposed method across various brain regions in both internal and external datasets. The remarkably good correlation and intraclass correlation coefficient values of the proposed method for the external dataset are noteworthy, considering the dataset’s different ethnic distribution and the use of different PET scanners and image reconstruction algorithms. Conclusion: This study successfully applied transfer learning to a deep neural network for ¹⁸F-FDG PET spatial normalization, demonstrating its resource efficiency and improved performance. This highlights the efficacy of transfer learning, which requires a smaller number of datasets than does the original network training, thus increasing the potential for broader use of deep learning–based brain PET spatial normalization techniques for various clinical and research radiotracers.

Mutations of p53 protein occur in over half of all cancers, with profound effects on tumor biology. We present the first—to our knowledge—method for noninvasive visualization of p53 in tumor tissue in vivo, using SPECT, in 3 different models of cancer. Methods: Anti-p53 monoclonal antibodies were conjugated to the cell-penetrating transactivator of transcription (TAT) peptide and a metal ion chelator and then radiolabeled with ¹¹¹In to allow SPECT imaging. ¹¹¹In-anti-p53-TAT conjugates were retained longer in cells overexpressing p53-specific than non–p53-specific ¹¹¹In-mIgG (mouse IgG from murine plasma)-TAT controls, but not in null p53 cells. Results: In vivo SPECT imaging showed enhanced uptake of ¹¹¹In-anti-p53-TAT, versus ¹¹¹In-mIgG-TAT, in high-expression p53^R175H and medium-expression wild-type p53 but not in null p53 tumor xenografts. The results were confirmed in mice bearing genetically engineered KPC mouse–derived pancreatic ductal adenocarcinoma tumors. Imaging with ¹¹¹In-anti-p53-TAT was possible in KPC mice bearing spontaneous p53^R172H pancreatic ductal adenocarcinoma tumors. Conclusion: We demonstrate the feasibility of noninvasive in vivo molecular imaging of p53 in tumor tissue using a radiolabeled TAT-modified monoclonal antibody.

Our objective is to explore quantitative imaging markers for early prediction of treatment response in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) undergoing [¹⁷⁷Lu]Lu-DOTATATE therapy. By doing so, we aim to enable timely switching to more effective therapies in order to prevent time-resource waste and minimize toxicities. Methods: Patients diagnosed with unresectable or metastatic, progressive, well-differentiated, receptor-positive GEP-NETs who received 4 sessions of [¹⁷⁷Lu]Lu-DOTATATE were retrospectively selected. Using SPECT/CT images taken at the end of treatment sessions, we counted all visible tumors and measured their largest diameters to calculate the tumor burden score (TBS). Up to 4 target lesions were selected and semiautomatically segmented. Target lesion peak counts and spleen peak counts were measured, and normalized peak counts were calculated. Changes in TBS (TBS) and changes in normalized peak count (nPC) throughout treatment sessions in relation to the first treatment session were calculated. Treatment responses were evaluated using third-month CT and were binarized as progressive disease (PD) or non-PD. Results: Twenty-seven patients were included (7 PD, 20 non-PD). Significant differences were observed in TBS_second-first, TBS_third-first, and TBS_fourth-first (where second-first, third-first, and fourth-first denote scan number between the second and first, third and first, and fourth and first [¹⁷⁷Lu]Lu-DOTATATE treatment cycles), respectively) between the PD and non-PD groups (median, 0.043 vs. –0.049, 0.08 vs. –0.116, and 0.109 vs. –0.123 [P = 0.023, P = 0.002, and P < 0.001], respectively). nPC_second-first showed significant group differences (mean, –0.107 vs. –0.282; P = 0.033); nPC_third-first and nPC_fourth-first did not reach statistical significance (mean, –0.122 vs. –0.312 and –0.183 vs. –0.405 [P = 0.117 and 0.067], respectively). At the optimal threshold, TBS_fourth-first exhibited an area under the curve (AUC) of 0.957, achieving 100% sensitivity and 80% specificity. TBS_second-first and TBS_third-first reached AUCs of 0.793 and 0.893, sensitivities of 71.4%, and specificities of 85% and 95%, respectively. nPC_second-first, nPC_third-first, and nPC_fourth-first showed AUCs of 0.764, 0.693, and 0.679; sensitivities of 71.4%, 71.4%, and 100%; and specificities of 75%, 70%, and 35%, respectively. Conclusion: TBS and nPC can predict [¹⁷⁷Lu]Lu-DOTATATE response by the second treatment session.

Bispecific antibodies (bsAbs) are engineered to target 2 different epitopes simultaneously. About 75% of the 16 clinically approved bsAbs have entered the clinic internationally since 2022. Hence, research on biomedical imaging of various radiolabeled bsAb scaffolds may serve to improve patient selection for bsAb therapy. Here, we provide a comprehensive overview of recent advances in radiolabeled bsAbs for imaging via PET or SPECT. We compare direct targeting and pretargeting approaches in preclinical and clinical studies in oncologic research. Furthermore, we show preclinical applications of imaging bsAbs in neurodegenerative diseases. Finally, we offer perspectives on the future directions of imaging bsAbs based on their challenges and opportunities.

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