Colistin Resistance in Multidrug-Resistant Escherichia coli Isolated from Retail Broiler Meat in Bangladesh.

The emergence of colistin resistance in Escherichia coli is a global public health concern. Contaminated food can accelerate the spread of colistin-resistant E. coli to humans. This study aimed to detect and characterize colistin-resistant E. coli from broiler meat in Bangladesh. We analyzed 136 pooled broiler meat samples from 240 carcasses collected from 40 live bird markets in urban and rural areas and 8 metropolitan supermarkets. The mean count of E. coli in broiler meat samples collected from rural retail shops, metropolitan supermarkets, and urban retail shops was 5.3 ± 1.1, 4.1 ± 1.4, and 3.9 ± 0.8 log10 colony-forming unit per gram, respectively. Colistin-resistant E. coli (minimum inhibitory concentration >2 mg/L) was found in 78% (95% confidence interval 70.2-84.1%) of the samples. All colistin-resistant isolates harbored the mcr-1 gene, while the rest of the mcr genes (mcr-2 to mcr-9) were not detected. Most colistin-resistant E. coli isolates (98%) showed coresistance to tetracycline, sulfamethoxazole/trimethoprim followed by ciprofloxacin (95%). Alarmingly, all of the colistin-resistant isolates were found to be multidrug resistant. Phylogenetic analysis showed close similarities of the mcr-1 gene sequences of this study with many strains of Enterobacterales isolated from humans, animals, and the environment. This study detected colistin-resistant E. coli contamination in broiler meat, which can pose a serious public health threat.

Seroprevalence of Anti-SARS-CoV-2 Antibodies in Chattogram Metropolitan Area, Bangladesh.

Seroprevalence studies of COVID-19 are used to assess the degree of undetected transmission in the community and different groups such as health care workers (HCWs) are deemed vulnerable due to their workplace hazards. The present study estimated the seroprevalence and quantified the titer of anti-SARS-CoV-2 antibody (IgG) and its association with different factors. This cross-sectional study observed HCWs, in indoor and outdoor patients (non-COVID-19) and garment workers in the Chattogram metropolitan area (CMA, N = 748) from six hospitals and two garment factories. Qualitative and quantitative ELISA were used to identify and quantify antibodies (IgG) in the serum samples. Descriptive, univariable, and multivariable statistical analysis were performed. Overall seroprevalence and among HCWs, in indoor and outdoor patients, and garment workers were 66.99% (95% CI: 63.40-70.40%), 68.99% (95% CI: 63.8-73.7%), 81.37% (95% CI: 74.7-86.7%), and 50.56% (95% CI: 43.5-57.5%), respectively. Seroprevalence and mean titer was 44.47% (95% CI: 38.6-50.4%) and 53.71 DU/mL in the non-vaccinated population, respectively, while it was higher in the population who received a first dose (61.66%, 95% CI: 54.8-68.0%, 159.08 DU/mL) and both doses (100%, 95% CI: 98.4-100%, 255.46 DU/mL). This study emphasizes the role of vaccine in antibody production; the second dose of vaccine significantly increased the seroprevalence and titer and both were low in natural infection.

Molecular detection and risk factors associated with multidrug-resistant Campylobacter jejuni from broiler cloacal and meat samples in Bangladesh.

The gastrointestinal tract of poultry is a potential source of Campylobacter jejuni. Here, the prevalence, risk factors, antimicrobial susceptibility profile and genetic relationship of C. jejuni were studied in broilers from farms and meat from live bird markets (LBMs) and super shops (SS). Pooled cloacal samples were obtained from farms in six districts of Bangladesh between June 2019 and March 2020. Pooled meat samples were obtained from LBMs and SS in the Chattogram district. Microbial culture, polymerase chain reaction (PCR), antimicrobial susceptibility tests were used to detect multidrug-resistant C. jejuni. A positive PCR amplicon was validated by mapA partial gene sequencing and subsequent phylogenetic analysis. In total, 12.5% (95% CI: 8.5-17.7%) of farms (N = 216) and 27.1% (95% CI: 15.28-41.85%) of LBMs and SS (N = 48) tested positive for C. jejuni. Moreover, 98% of the isolates were multidrug-resistant, with 86% resistant to five or more antimicrobial groups. Multivariable logistic regression analysis showed a downtime of <14 days, no separate footwear for shed access, and more than one person entering the sheds were significantly associated with C. jejuni colonization. Phylogenetic analysis revealed a strong relationship between C. jejuni strains obtained in Bangladesh and strains isolated in India, South Africa and Grenada from humans, pigs and bats. This study revealed significant contamination of broiler meat with Campylobacter spp. and C. jejuni. Potential sources of contamination and anthropogenic factors associated with the alarming prevalence of C. jejuni identified in this study would aid in reducing the growing risks of broiler-associated pathogens.

Goat Genomic Resources: The Search for Genes Associated with Its Economic Traits.

Goat plays a crucial role in human livelihoods, being a major source of meat, milk, fiber, and hides, particularly under adverse climatic conditions. The goat genomics related to the candidate gene approach is now being used to recognize molecular mechanisms that have different expressions of growth, reproductive, milk, wool, and disease resistance. The appropriate literature on this topic has been reviewed in this article. Several genetic characterization attempts of different goats have reported the existence of genotypic and morphological variations between different goat populations. As a result, different whole-genome sequences along with annotated gene sequences, gene function, and other genomic information of different goats are available in different databases. The main objective of this review is to search the genes associated with economic traits in goats. More than 271 candidate genes have been discovered in goats. Candidate genes influence the physiological pathway, metabolism, and expression of phenotypes. These genes have different functions on economically important traits. Some genes have pleiotropic effect for expression of phenotypic traits. Hence, recognizing candidate genes and their mutations that cause variations in gene expression and phenotype of an economic trait can help breeders look for genetic markers for specific economic traits. The availability of reference whole-genome assembly of goats, annotated genes, and transcriptomics makes comparative genomics a useful tool for systemic genetic upgradation. Identification and characterization of trait-associated sequence variations and gene will provide powerful means to give positive influences for future goat breeding program.

Phase distribution of chronic myeloid leukemia in Bangladesh.

BACKGROUND: Here, we report the phase distribution of chronic myeloid leukemia (CML), defined based on the World Health Organization criteria, among 63 patients in Bangladesh. All patients were diagnosed based on complete blood count, bone marrow examination including bone marrow aspiration and reverse-transcriptase polymerase chain reaction (RT-PCR). Out of 63 patients, 42 were male and 21 were female. The mean age of the subjects was 37.4 years, with an age range of 17-60 years. The majority of patients (86%) were classified in the chronic phase (CP), 7 (11%) in the accelerated phase (AP) and two (3%) in blast crisis (BC). The most frequent patient age ranges were 21-30 years for CP, 41-50 years for AP and 41-50 years for BC. RESULTS: The Philadelphia chromosome was detected in 48 patients by RT-PCR. The mean total leukocyte counts, platelet counts, hemoglobin levels and marrow blast frequencies were 101 × 10(9)/L, 409 × 10(9)/L, 12.2 g/dl and 2.8% for CP; 121 × 10(9)/L, 418 × 10(9)/L, 8.7 g/dl and 15% for AP and 311 × 10(9)/L, 396 × 10(9)/L, 9.2 g/dl and 26% for BC, respectively. CONCLUSION: This study concluded that most CML patients in Bangladesh are from a younger age group (31-40 years). In addition, males were more commonly affected, although females were afflicted with this disease at a younger age.