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Abstract Background Histo-blood group antigens (HBGAs) which include the ABO and Lewis antigen systems have been known for determining predisposition to infections. For instance, blood group O individuals have a higher risk of severe illness due to V. cholerae compared to those with non-blood group O antigens. We set out to determine the influence that these HBGAs have on oral cholera vaccine immunogenicity and seroconversion in individuals residing within a cholera endemic area in Zambia. Methodology We conducted a longitudinal study nested under a clinical trial in which samples from a cohort of 223 adults who were vaccinated with two doses of Shanchol™ and followed up over 4 years were used. We measured serum vibriocidal geometric mean titers (GMTs) at Baseline, Day 28, Months 6, 12, 24, 30, 36 and 48 in response to the vaccine. Saliva obtained at 1 year post vaccination was tested for HBGA phenotypes and secretor status using an enzyme-linked immunosorbent assay (ELISA). Results Of the 133/223 participants included in the final analysis, the majority were above 34 years old (58%) and of these, 90% were males. Seroconversion rates to V. cholerae O1 Inaba with non-O (23%) and O (30%) blood types were comparable. The same pattern was observed against O1 Ogawa serotype between non-O (25%) and O (35%). This trend continued over the four-year follow-up period. Similarly, no significant differences were observed in seroconversion rates between the non-secretors (26%) and secretors (36%) against V. cholerae O1 Inaba. The same was observed for O1 Ogawa in non-secretors (22%) and the secretors (36%). Conclusion Our results do not support the idea that ABO blood grouping influence vaccine uptake and responses against cholera.

Background Inappropriate antimicrobial usage is a key driver of antimicrobial resistance (AMR). Low- and middle-income countries (LMICs) are disproportionately burdened by AMR and young children are especially vulnerable to infections with AMR-bearing pathogens. The impact of antibiotics on the microbiome, selection, persistence, and horizontal spread of AMR genes is insufficiently characterized and understood in children in LMICs. This systematic review aims to collate and evaluate the available literature describing the impact of antibiotics on the infant gut microbiome and resistome in LMICs. Methods and findings In this systematic review, we searched the online databases MEDLINE (1946 to 28 January 2023), EMBASE (1947 to 28 January 2023), SCOPUS (1945 to 29 January 2023), WHO Global Index Medicus (searched up to 29 January 2023), and SciELO (searched up to 29 January 2023). A total of 4,369 articles were retrieved across the databases. Duplicates were removed resulting in 2,748 unique articles. Screening by title and abstract excluded 2,666 articles, 92 articles were assessed based on the full text, and 10 studies met the eligibility criteria that included human studies conducted in LMICs among children below the age of 2 that reported gut microbiome composition and/or resistome composition (AMR genes) following antibiotic usage. The included studies were all randomized control trials (RCTs) and were assessed for risk of bias using the Cochrane risk-of-bias for randomized studies tool. Overall, antibiotics reduced gut microbiome diversity and increased antibiotic-specific resistance gene abundance in antibiotic treatment groups as compared to the placebo. The most widely tested antibiotic was azithromycin that decreased the diversity of the gut microbiome and significantly increased macrolide resistance as early as 5 days posttreatment. A major limitation of this study was paucity of available studies that cover this subject area. Specifically, the range of antibiotics assessed did not include the most commonly used antibiotics in LMIC populations. Conclusion In this study, we observed that antibiotics significantly reduce the diversity and alter the composition of the infant gut microbiome in LMICs, while concomitantly selecting for resistance genes whose persistence can last for months following treatment. Considerable heterogeneity in study methodology, timing and duration of sampling, and sequencing methodology in currently available research limit insights into antibiotic impacts on the microbiome and resistome in children in LMICs. More research is urgently needed to fill this gap in order to better understand whether antibiotic-driven reductions in microbiome diversity and selection of AMR genes place LMIC children at risk for adverse health outcomes, including infections with AMR-bearing pathogens. Vanessa C Harris and colleagues review the currently available literature to report how antibiotic use in children from low- and middle-income countries impacts the gut microbiome and, the implications for antimicrobial resistant infections. Author summary Why was this study done? Antibiotics can disturb the bacteria in the gut and drive the development of antimicrobial resistance (AMR). Children in low- and middle-income (LMIC) settings often receive (inappropriate) antibiotics and are at risk of antimicrobial-resistant infections that are harder and costlier to treat. Currently, little knowledge exists regarding the risks of antibiotic use in children in LMIC and the impact of antibiotics on the bacteria in their gut. In this review, we aimed to identify studies evaluating the impact of antibiotics in children in LMIC to better describe these unintended antibiotic side effects. What did the researchers do and find? We systematically collected studies performed in LMIC in children that reported the effects of antibiotics on gut bacteria and profiled their antibiotic resistance genes. Our search revealed a paucity of published studies focusing on this topic and we identified only a handful of eligible studies to include in the review. We compared these studies based on the antibiotic used and differential impacts on gut bacteria, i.e., gut microbiome profiles and/or resistance genes. We observed that among children in LMIC, antibiotics generally reduced the numbers of bacterial taxa in the gut and increased the number of bacterial taxa with AMR. What do these findings mean? Our study shows that antibiotic use alters the microbiome composition in the gut and may adversely impact the health of children in LMIC, e.g., by placing them at risk of antimicrobial-resistant infections. More research is needed to understand how different antibiotics alter the gut microbiome and resistome of children in LMIC. Antibiotic usage in these populations should be better regulated, in order to prevent these indirect impacts of antibiotic use and reduce the risk of antimicrobial-resistant infections.

Detection of phytopathogens that are involved in causing disease symptoms in plants and crops is of prime importance as a key step in disease treatment and management. Ziziphus mucronata is a species endemic in temperate and tropical climates and used traditionally in the treatment of infectious diseases. The common bean (Phaseolus vulgaris) is a rich source of nutrients for the human diet. Just like most crops, it is not immune to fungal diseases and reports had been received of P. vulgaris showing signs on disease. The aim of this study was to isolate and characterize the fungal species associated with the disease symptoms in the Z. mucronata and P. vulgaris. Fungal species where isolated from surface-sterilised symptomatic bark of Z. muconata and fresh green bean pods. These where grown on petri dishes containing Potato Dextrose Agar and incubated at room temperature. Pure cultures where then obtained by transferring small segments of fungal growth to a new petri dish that contained PDA. During DNA extraction the pure cultures where first homogenized using liquid nitrogen and then the rest of the extraction carried out as stipulated in the Zymo extraction kit. The Nanodrop was used for quantifying the DNA and amplification of the conserved Internal Transcribed Spacer (ITS) region of Ribosomal RNA genes was carried out using ITS1 and ITS2. The PCR products were sequenced at Inqaba Biotech Industries in South Africa. The obtained sequences were then compared by alignment with known sequences in the Genbank using Basic Local Alignment Search Tool (BLAST). The BLAST searches were able to reveal the fungi isolated from the Z. mucronata as Fusarium penzigii and Fusarium dimerum while the fungi isolated from P. vulgaris shown to be Phoma destructiva, with 100 %, 95% and 100% sequence similarity respectively. The next step in this work is carry out Koch‘s postulates to determine which of this fungi is the causal agent of the observed diseases symptoms in order to start a targeted diseases management programme.