Biology subjects

Hiza, H.

Publications and source records attributed to Hiza, H..

6 recordsLinked to original sources

bioRxiv2024

Granulysin antimicrobial activity promotes dormancy in Mycobacterium tuberculosis

Human tuberculosis (TB) caused by Mycobacterium tuberculosis (Mtb) remains a global public health threat. Granulomas constitute a hallmark of TB pathogenesis that can clear, contain or exacerbate an infection. Containment is exploited by Mtb as a hideout to persist in a dormant, antibiotic-tolerant state only to resuscitate upon immunosuppression. The immune determinants of a granulomatous response driving Mtb persistence remain elusive. We here combined an ex vivo granuloma model with peripheral blood mononuclear cell (PBMC) specimens from TB patients and a high-dimensional mass cytometry (CyTOF) approach to shed light on the immune factors prompting Mtb dormancy. Compared to healthy controls, patient-derived ex vivo granulomas rapidly force Mtb to adopt a dormant-like state; an observation that correlates with the presence of activated innate (-like) cytotoxic lymphocytes. We further demonstrate that Mtb dormancy is induced by direct exposure to granulysin, thereby unravelling an immune escape mechanism to cytotoxic lymphocyte activity.

immunology↗

bioRxiv2024

Human genetic ancestry, Mycobacterium tuberculosis diversity and tuberculosis disease severity in Dar es Salaam, Tanzania

Infectious diseases have affected humanity for millennia and are among the strongest selective forces. Tuberculosis (TB) is an ancient disease, caused by the human-adapted members of the Mycobacterium tuberculosis complex (MTBC). The outcome of TB infection and disease is highly variable, and co-evolution between human populations and MTBC strains may account for some of this variability. Particular human genetic ancestries have been associated with higher susceptibility to TB, but socio-demographic aspects of the disease can confound such associations. Here, we studied 1,000 TB patients from Dar es Salaam, Tanzania, together with their respective MTBC isolates, by combining human and bacterial genomics with clinical data. We found that the genetic background of the TB patient population was strongly influenced by migrationsof Bantu-speaking populations from West Africa, which is in contrast to the corresponding MTBC genotypes that were mainly introduced from outside Africa. These findings suggest a recent evolutionary history of co-existence between the human and MTBC populations in Dar es Salaam. We detected no evidence of an effect of human genetic ancestry, or MTBC phylogenetic diversity alone, nor their interaction, on TB disease severity. There was also no evidence of an association between human variation genome-wide and TB disease severity.Treatment-seeking, social and environmental factors are likely to be the main determinants of disease severity at the point of care in this patient population. Author SummaryTuberculosis (TB) is an ancient infectious disease that continues to challenge global health efforts. Here, we explored the interplay between human and bacterial genetics on TB in Dar es Salaam, Tanzania. We found that neither the genetic ancestry of the patient, nor the bacterial genotype alone, nor their interaction, influenced the severity of TB. Our finding indicate that in this patient population, social and environmental factors may be the main determinants of TB disease severity.

evolutionary biology↗

bioRxiv2024

Host-strain compatibility influences transcriptional responses in Mycobacterium tuberculosis infections

Tuberculosis, caused by Mycobacterium tuberculosis, is a leading cause of infectious mortality and affects humans and other mammals. Understanding the drivers of its host-specificity shapes the landscape of infectivity, which could potentially inform strategies for tuberculosis management. We hypothesise that host-strain compatibility influences infection outcome and we aim to reveal bacteria and host specific transcriptional responses during in vitro infections. We infected human and bovine cell lines with two human-associated M. tuberculosis strains from lineages 5 and 6, as well as two animal-associated strains (Mycobacterium bovis and the Chimpanzee bacillus), and quantified infection ratios, cell death, and transcriptional responses. By integrating those data from different compatibility combinations, we identified global transcription profiles associated with strain-host compatibility. Our results show that the most compatible host-strain combinations had higher infection rates, and different transcriptional patterns than low-compatibility infections. Both hosts had similar transcriptional responses to their most compatible strains, upregulating pathways related with increased cell proliferation. Host proliferation could potentially favour bacterial growth, explaining the success of the strain in its corresponding host. Conversely, both hosts responded to non-associated strains with defence related transcriptional patterns, among other pathways, supporting their lower success in the non-associated host. Finally, we revealed bacteria and host-specific expression patterns in molecules implicated in immune response and inflammation through the eicosanoid pathway. In conclusion, we confirmed that bacteria-host compatibility determines common transcriptional responses, but also specific responses that depend on the infecting strain. This study enhances the understanding of host-specific adaptation mechanisms in M. tuberculosis.

microbiology↗

bioRxiv2023

Bacterial diversity dominates variable macrophage responses of tuberculosis patients in Tanzania

The Mycobacterium tuberculosis complex (MTBC) comprises nine human-adapted lineages that differ in their geographical distribution. Local adaptation of specific MTBC genotypes to the respective human host population has been invoked in this context. Here, we generated macrophages from cryopreserved blood mononuclear cells of Tanzanian tuberculosis patients, from which the infecting MTBC strains had previously been phylogenetically characterized. We infected these macrophages ex vivo with a phylogenetically similar MTBC strain ("matched infection") or with strains representative of other MTBC lineages ("mismatched infection"). We found that L1 infections resulted in a significantly lower bacterial burden and that the intra-cellular replication rate of L2 strains was significantly higher compared the other MTBC lineages, irrespective of the MTBC lineage originally infecting the patients. Moreover, L4-infected macrophages released significantly greater amounts of TNF-, IL-6, IL-10, MIP-1{beta}, and IL-1{beta} compared to macrophages infected by all other strains. Taken together, while our results revealed no measurable effect of local adaptation, they further highlight the strong impact of MTBC phylogenetic diversity on the variable outcome of the host-pathogen interaction in human tuberculosis.

microbiology↗

bioRxiv2021

Using population-specific add-on polymorphisms to improve genotype imputation in underrepresented populations

Genome-wide association studies rely on the statistical inference of untyped variants, called imputation, to increase the coverage of genotyping arrays. However, the results are often suboptimal in populations underrepresented in existing reference panels and array designs, since the selected single nucleotide polymorphisms (SNPs) may fail to capture population-specific haplotype structures, hence the full extent of common genetic variation. Here, we propose to sequence the full genome of a small subset of an underrepresented study cohort to inform the selection of population-specific add-on SNPs, such that the remaining array-genotyped cohort could be more accurately imputed. Using a Tanzania-based cohort as a proof-of-concept, we demonstrate the validity of our approach by showing improvements in imputation accuracy after the addition of our designed addon SNPs to the base H3Africa array.

genetics↗

bioRxiv2020

Local adaptation in populations of Mycobacterium tuberculosis endemic to the Indian Ocean Rim

Lineage 1 (L1) and 3 (L3) are two lineages of the Mycobacterium tuberculosis complex (MTBC), causing tuberculosis (TB) in humans. L1 and L3 are endemic to the Rim of the Indian Ocean, the region that accounts for most of the worlds new TB cases. Despite their relevance for this region, L1 and L3 remain understudied. Here we analyzed 2,938 L1 and 2,030 L3 whole genome sequences originating from 69 countries. We show that South Asia played a central role in the dispersion of these two lineages to neighboring regions. Moreover, we found that L1 exhibits signatures of local adaptation at the esxH locus, a gene coding for a secreted effector that targets the human endosomal sorting complex, and is included in several vaccine candidates. Our study highlights the importance of genetic diversity in the MTBC, and sheds new light on two of the most important MTBC lineages affecting humans.

genomics↗