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Ramaboli MC, Ocvirk S, Khan Mirzaei M, Eberhart BL, Valdivia-Garcia M, Metwaly A, Neuhaus K, Barker G, Ru J, Nesengani LT, Mahdi-Joest D, Wilson AS, Joni SK, Layman DC, Zheng J, Mandal R, Chen Q, Perez MR, Fortuin S, Gaunt B, Wishart D, Methé B, Haller D, Li JV, Deng L, Swart R, O'Keefe SJD. Diet changes due to urbanization in South Africa are linked to microbiome and metabolome signatures of Westernization and colorectal cancer. Nat Commun 2024; 15:3379. [PMID: 38643180 PMCID: PMC11032404 DOI: 10.1038/s41467-024-46265-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 02/15/2024] [Indexed: 04/22/2024] Open
Abstract
Transition from traditional high-fiber to Western diets in urbanizing communities of Sub-Saharan Africa is associated with increased risk of non-communicable diseases (NCD), exemplified by colorectal cancer (CRC) risk. To investigate how urbanization gives rise to microbial patterns that may be amenable by dietary intervention, we analyzed diet intake, fecal 16 S bacteriome, virome, and metabolome in a cross-sectional study in healthy rural and urban Xhosa people (South Africa). Urban Xhosa individuals had higher intakes of energy (urban: 3,578 ± 455; rural: 2,185 ± 179 kcal/d), fat and animal protein. This was associated with lower fecal bacteriome diversity and a shift from genera favoring degradation of complex carbohydrates (e.g., Prevotella) to taxa previously shown to be associated with bile acid metabolism and CRC. Urban Xhosa individuals had higher fecal levels of deoxycholic acid, shown to be associated with higher CRC risk, but similar short-chain fatty acid concentrations compared with rural individuals. Fecal virome composition was associated with distinct gut bacterial communities across urbanization, characterized by different dominant host bacteria (urban: Bacteriodota; rural: unassigned taxa) and variable correlation with fecal metabolites and dietary nutrients. Food and skin microbiota samples showed compositional differences along the urbanization gradient. Rural-urban dietary transition in South Africa is linked to major changes in the gut microbiome and metabolome. Further studies are needed to prove cause and identify whether restoration of specific components of the traditional diet will arrest the accelerating rise in NCDs in Sub-Saharan Africa.
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Affiliation(s)
- M C Ramaboli
- African Microbiome Institute, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - S Ocvirk
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Intestinal Microbiology Research Group, German Institute of Human Nutrition, Potsdam, Germany
- ZIEL - Institute for Food and Health, Technical University of Munich, Freising, Germany
| | - M Khan Mirzaei
- Institute of Virology, Helmholtz Centre Munich - German Research Centre for Environmental Health, Neuherberg, Germany
- Chair of Microbial Disease Prevention, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - B L Eberhart
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - M Valdivia-Garcia
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - A Metwaly
- Chair of Nutrition and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - K Neuhaus
- Core Facility Microbiome, ZIEL - Institute for Food and Health, Technical University of Munich, Freising, Germany
| | - G Barker
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - J Ru
- Institute of Virology, Helmholtz Centre Munich - German Research Centre for Environmental Health, Neuherberg, Germany
- Chair of Microbial Disease Prevention, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - L T Nesengani
- Department of Agriculture and Animal Health, University of South Africa, Pretoria, South Africa
| | - D Mahdi-Joest
- Intestinal Microbiology Research Group, German Institute of Human Nutrition, Potsdam, Germany
| | - A S Wilson
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - S K Joni
- Department of Nutrition and Dietetics, School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - D C Layman
- Department of Nutrition and Dietetics, School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - J Zheng
- The Metabolomics Innovation Centre & Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - R Mandal
- The Metabolomics Innovation Centre & Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Q Chen
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - M R Perez
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - S Fortuin
- African Microbiome Institute, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - B Gaunt
- Zithulele Hospital, Mqanduli District, Mqanduli, Eastern Cape Province, South Africa
| | - D Wishart
- The Metabolomics Innovation Centre & Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - B Methé
- Center for Medicine and the Microbiome, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - D Haller
- ZIEL - Institute for Food and Health, Technical University of Munich, Freising, Germany
- Chair of Nutrition and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany
| | - J V Li
- Section of Nutrition, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - L Deng
- Institute of Virology, Helmholtz Centre Munich - German Research Centre for Environmental Health, Neuherberg, Germany
- Chair of Microbial Disease Prevention, School of Life Sciences, Technical University of Munich, Freising, Germany
| | - R Swart
- Department of Nutrition and Dietetics, School of Public Health, University of the Western Cape, Cape Town, South Africa
| | - S J D O'Keefe
- African Microbiome Institute, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
- Division of Gastroenterology, Hepatology and Nutrition, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
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Lotz JDK, Porter J, Conradie H, Boyles T, Gaunt B, Dimanda S, Cort D. Treating drug-resistant tuberculosis in an era of shorter regimens: Insights from rural South Africa. S Afr Med J 2023; 113:47-56. [PMID: 38525642 DOI: 10.7196/samj.2023.v113i11.497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND Progressive interventions have recently improved programmatic outcomes in drug-resistant tuberculosis (DR-TB) care in South Africa (SA). Amidst these, a shorter regimen was introduced in 2017 with weak evidence, and has shown mixed results. Outcomes still fall short of national targets, and the coronavirus disease 2019 pandemic has undermined progress to date. OBJECTIVES To describe the outcomes of participants treated for DR-TB using a shorter, compared with a longer, regimen in a deeply rural SA setting, and to explore other factors affecting these outcomes. METHODS This retrospective cohort study describes outcomes in short and long DR-TB treatment regimens, over 5 years, at two rural treatment sites in SA. Characteristics were analysed for outcome correlates using multivariable logistic regression models. RESULTS Of 282 treatment episodes, 62% were successful, with higher success in shorter (69%) compared with longer regimens (58%). Mortality was approximately 21% in both groups. Characteristics included high proportions of HIV co-infection (61%). Injectables (adjusted odds ratio (aOR) 3.00, 95% confidence interval (CI) 1.48 - 6.09), bedaquiline (aOR 3.16, 95% CI 1.36 - 7.35), increasing age (aOR 0.97, 95% CI 0.95 - 0.99) and HIV viraemia defined as final HIV-RNA viral load >1 000 copies/mL (aOR 0.16, 95% CI 0.07 - 0.37) were all significantly and independently associated with treatment success. Injectables (aOR 0.22, 95% CI 0.08 - 0.57), bedaquiline (aOR 0.05, 95% CI 0.01 - 0.19), increasing age (aOR 1.09, 95% CI 1.05 - 1.13), extra-pulmonary TB (aOR 8.15, 95% CI 1.62 - 41.03) and HIV viraemia (aOR 9.20, 95% CI 3.22 - 26.24) were all significantly and independently associated with mortality. CONCLUSION In a rural context, treating DR-TB amid limited resources and a high burden of HIV co-infection, we found that after considering controls, a short regimen was no different to a longer regimen in terms of success or mortality. Therefore, by alleviating burdens on multiple stakeholders, a short regimen is likely to be favourable for rural patients, clinicians, and healthcare systems. Besides other previously described correlates of outcomes, HIV viraemia emerged as a novel marker for reliably predicting poor outcomes in DR-TB with HIV co-infection, and a pragmatic target for intervention.
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Affiliation(s)
- J-D K Lotz
- Department of Family Medicine and Rural Health, Walter Sisulu University, Mthatha, South Africa, Madwaleni District Hospital, Elliotdale, South Africa.
| | - J Porter
- Department of Family Medicine and Rural Health, Walter Sisulu University, Mthatha, South Africa, Division of Family Medicine, Department of Family, Community, and Emergency Care, University of Cape Town, South Africa, False Bay District Hospital, Cape Town, South Africa.
| | - H Conradie
- Department of Family Medicine and Primary Care, Stellenbosch University, Cape Town, South Africa.
| | - T Boyles
- Right to Care, Centurion, South Africa, Clinical HIV Research Unit, University of the Witwatersrand, Johannesburg, South Africa, London School of Hygiene and Tropical Medicine, London, United Kingdom.
| | - B Gaunt
- Zithulele District Hospital, Coffee Bay, South Africa.
| | - S Dimanda
- Madwaleni District Hospital, Elliotdale, South Africa.
| | - D Cort
- Department of Sociology, University of Massachusetts, Amherst, USA.
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van de Water BJ, Meyer TN, Wilson M, Young C, Gaunt B, le Roux KW. TB prevention cascade at a district hospital in rural Eastern Cape, South Africa. Public Health Action 2021; 11:97-100. [PMID: 34159070 DOI: 10.5588/pha.20.0055] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 03/15/2021] [Indexed: 11/10/2022] Open
Abstract
SETTING Rural Eastern Cape, South Africa. OBJECTIVE To identify steps in the TB preventive care cascade from routinely collected data among TB patients at a district hospital prior to the implementation of a novel TB program. DESIGN This was a retrospective study. We adapted the TB prevention cascade to measure indicators routinely collected at district hospitals for TB using a cascade framework to evaluate outcomes in the cohort of close contacts. RESULTS A total of 1,722 charts of TB patients were reviewed. The majority of patients (87%) were newly diagnosed with no previous episodes of TB. A total of 1,548 (90%) patients identified at least one close contact. A total of 7,548 contacts were identified with a median of 4.9 (range 1-16) contacts per patient. Among all contacts identified, 2,913 (39%) were screened for TB. Only 15 (0.5%) started TB preventive therapy and 122 (4.4%) started TB treatment. Nearly 25% of all medical history and clinical information was left unanswered among the 1,722 TB charts reviewed. CONCLUSION Few close contacts were screened or started on TB preventive therapy in this cohort. Primary care providers for TB care in district health facilities should be informed of best practices for screening and treating TB infection and disease.
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Affiliation(s)
- B J van de Water
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - T N Meyer
- Department of Family Medicine, Walter Sisulu University, Mthatha, South Africa.,Zithulele District Hospital, Eastern Cape Department of Health, Mqunduli, South Africa
| | - M Wilson
- Advance Access and Delivery, Chapel Hill, NC, USA
| | - C Young
- Jabulani Rural Health Foundation, Mqanduli, South Africa
| | - B Gaunt
- Department of Family Medicine, Walter Sisulu University, Mthatha, South Africa.,Zithulele District Hospital, Eastern Cape Department of Health, Mqunduli, South Africa.,Primary Healthcare Directorate, University of Cape Town, Cape Town, South Africa
| | - K W le Roux
- Department of Family Medicine, Walter Sisulu University, Mthatha, South Africa.,Zithulele District Hospital, Eastern Cape Department of Health, Mqunduli, South Africa.,Primary Healthcare Directorate, University of Cape Town, Cape Town, South Africa
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Abstract
The effects of an auditory model on the learning of relative and absolute timing were examined. In 2 experiments, participants attempted to learn to produce a 1,000- or 1,600-ms sequence of 5 key presses with a specific relative-timing pattern. In each experiment, participants were, or were not, provided an auditory model that consisted of a series of tones that were temporally spaced according to the criterion relative-timing pattern. In Experiment 1, participants (n = 14) given the auditory template exhibited better relative- and absolute-timing performance than participants (n = 14) not given the auditory template. In Experiment 2, auditory and no-auditory template groups again were tested, but in that experiment each physical practice participant (n = 16) was paired during acquisition with an observer (n = 16). The observer was privy to all instructions as well as auditory and visual information that was provided the physical practice participant. The results replicated the results of Experiment 1: Relative-timing information was enhanced by the auditory template for both the physical and observation practice participants. Absolute timing was improved only when the auditory model was coupled with physical practice. Consistent with the proposal of D. M. Scully and K. M. Newell (1985), modeled timing information in physical and observational practice benefited the learning of the relative-timing features of the task, but physical practice was required to enhance absolute timing.
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Affiliation(s)
- C H Shea
- Department of Health and Kinesiology, Texas A&M University, College Station, TX 77843-4243, USA.
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