Mapping socialist solidarities: SWAPO, the Namibian liberation struggle, and the Global Cold War

This thesis addresses the entanglements between the Namibian liberation struggle and the global Cold War, focusing on the socialist support provided to the South West African People Organization (SWAPO), the liberation movement that fought for the independence of the country from the South African regime. This thesis aims at analyzing three socialist models of solidarity with the SWAPO’s struggle that developed especially from the late 1970s. Combining archival sources and biographical accounts, it examines the politics of solidarity with SWAPO implemented by East Germany, Cuba, and the Italian Communist Party. The interest lies in understanding how solidarity was declined and received by internal promoters and external addressees. Thus, I explore how these three actors constructed their concept of solidarity with SWAPO according to their national and ideological contexts and how this was received by the SWAPO members who experienced it in various ways. Each socialist actor promoted solidarity with SWAPO by using varying narratives, pursuing their own objectives, and employing diverse instruments, thus carrying out different and sometimes competing visions of socialism and solidarity. On its side, SWAPO was able to take advantage from such visions, as each of them could serve its different needs in diverse ways. In providing a general overview of these three solidarity policies, this thesis has the objective of highlighting the internal pluralization of the “socialist solidarity regime” while at the same time contributing to the debate on the extent of SWAPO’s commitment to socialism during the Namibian liberation struggle. It argues that, while pragmatism has always guided SWAPO during the liberation struggle and the post-independence period, and non-alignment has always been its international stance, socialism has to some extent been a model for the revolution in Namibia, to the point that it is still influencing the SWAPO party today.

Cross-Talk tra Bifidobacterium e intestino umano: impatto sulle attività health promoting

Bifidobacteria constitute up to 3% of the total microbiota and represent one of the most important healthpromoting bacterial groups of the human intestinal microflora. The presence of Bifidobacterium in the human gastrointestinal tract has been directly related to several health-promoting activities; however, to date, no information about the specific mechanisms of interaction with the host is available. The first health-promoting activities studied in these job was the oxalate-degrading activity. Oxalic acid occurs extensively in nature and plays diverse roles, especially in pathological processes. Due to its highly oxidizing effects, hyper absorption or abnormal synthesis of oxalate can cause serious acute disorders in mammals and be lethal in extreme cases. Intestinal oxalate-degrading bacteria could therefore be pivotal in maintaining oxalate homeostasis, reducing the risk of kidney stone development. In this study, the oxalate-degrading activity of 14 bifidobacterial strains was measured by a capillary electrophoresis technique. The oxc gene, encoding oxalyl-CoA decarboxylase, a key enzyme in oxalate catabolism, was isolated by probing a genomic library of B. animalis subsp. lactis BI07, which was one of the most active strains in the preliminary screening. The genetic and transcriptional organization of oxc flanking regions was determined, unravelling the presence of other two independently transcribed open reading frames, potentially responsible for B. animalis subsp. lactis ability to degrade oxalate. Transcriptional analysis, using real-time quantitative reverse transcription PCR, revealed that these genes were highly induced in cells first adapted to subinhibitory concentrations of oxalate and then exposed to pH 4.5. Acidic conditions were also a prerequisite for a significant oxalate degradation rate, which dramatically increased in oxalate pre-adapted cells, as demonstrated in fermentation experiments with different pH-controlled batch cultures. These findings provide new insights in the characterization of oxalate-degrading probiotic bacteria and may support the use of B. animalis subsp. lactis as a promising adjunct for the prophylaxis and management of oxalate-related kidney disease. In order to provide some insight into the molecular mechanisms involved in the interaction with the host, in the second part of the job, we investigated whether Bifidobacterium was able to capture human plasminogen on the cell surface. The binding of human plasminogen to Bifidobacterium was dependent on lysine residues of surface protein receptors. By using a proteomic approach, we identified six putative plasminogen-binding proteins in the cell wall fraction of three strain of Bifidobacterium. The data suggest that plasminogen binding to Bifidobactrium is due to the concerted action of a number of proteins located on the bacterial cell surface, some of which are highly conserved cytoplasmic proteins which have other essential cellular functions. Our findings represent a step forward in understanding the mechanisms involved in the Bifidobacterium-host interaction. In these job w studied a new approach based on to MALDI-TOF MS to measure the interaction between entire bacterial cells and host molecular target. MALDI-TOF (Matrix Assisted Laser Desorption Ionization-Time of Flight)—mass spectrometry has been applied, for the first time, in the investigation of whole Bifidobacterium cells-host target proteins interaction. In particular, by means of this technique, a dose dependent human plasminogen-binding activity has been shown for Bifidobacterium. The involvement of lysine binding sites on the bacterial cell surface has been proved. The obtained result was found to be consistent with that from well-established standard methodologies, thus the proposed MALDI-TOF approach has the potential to enter as a fast alternative method in the field of biorecognition studies involving in bacterial cells and proteins of human origin.

Applications of network-based approaches in drug research

Recent research trends in computer-aided drug design have shown an increasing interest towards the implementation of advanced approaches able to deal with large amount of data. This demand arose from the awareness of the complexity of biological systems and from the availability of data provided by high-throughput technologies. As a consequence, drug research has embraced this paradigm shift exploiting approaches such as that based on networks. Indeed, the process of drug discovery can benefit from the implementation of network-based methods at different steps from target identification to drug repurposing. From this broad range of opportunities, this thesis is focused on three main topics: (i) chemical space networks (CSNs), which are designed to represent and characterize bioactive compound data sets; (ii) drug-target interactions (DTIs) prediction through a network-based algorithm that predicts missing links; (iii) COVID-19 drug research which was explored implementing COVIDrugNet, a network-based tool for COVID-19 related drugs. The main highlight emerged from this thesis is that network-based approaches can be considered useful methodologies to tackle different issues in drug research. In detail, CSNs are valuable coordinate-free, graphically accessible representations of structure-activity relationships of bioactive compounds data sets especially for medium-large libraries of molecules. DTIs prediction through the random walk with restart algorithm on heterogeneous networks can be a helpful method for target identification. COVIDrugNet is an example of the usefulness of network-based approaches for studying drugs related to a specific condition, i.e., COVID-19, and the same ‘systems-based’ approaches can be used for other diseases. To conclude, network-based tools are proving to be suitable in many applications in drug research and provide the opportunity to model and analyze diverse drug-related data sets, even large ones, also integrating different multi-domain information.