Populations of different South Asian nations including Bangladesh reportedly have a high risk of developing diabetes in recent years. This study aimed to investigate the differences in the gut microbiome of COVID-19-positive participants with or without type 2 diabetes mellitus (T2DM) compared with healthy control subjects. Microbiome data of 30 participants with T2DM were compared with 22 age-, sex-, and body mass index (BMI)-matched individuals. Clinical features were recorded while fecal samples were collected aseptically from the participants. Amplicon-based (16S rRNA) metagenome analyses were employed to explore the dysbiosis of gut microbiota and its correlation with genomic and functional features in COVID-19 patients with or without T2DM. Comparing the detected bacterial genera across the sample groups, 98 unique genera were identified, of which 9 genera had unique association with COVID-19 T2DM patients. Among different bacterial groups, Shigella (25%), Bacteroides (23.45%), and Megamonas (15.90%) had higher mean relative abundances in COVID-19 patients with T2DM. An elevated gut microbiota dysbiosis in T2DM patients with COVID-19 was observed while some metabolic functional changes correlated with bidirectional microbiome dysbiosis between diabetes and non-diabetes humans gut were also found. These results further highlight the possible association of COVID-19 infection that might be linked with alteration of gut microbiome among T2DM patients.
Catla (Catla catla) is one of the fastest-growing major carp found in South Asia as well as Bangladesh. Catla catla is the second most popular indigenous carp species in the freshwater aquaculture industry of Bangladesh due to its relatively good taste and high market price. In this study, we disclosed the complete mitochondrial genome sequence of Bangladeshi Catla fish from Halda river located in Chittagong. The circular mitogenome of Catla catla is 16,597 bp in length and nucleotide composition is AT-based (72%), contains 37 genes including 13 protein-coding genes, 22 tRNA genes, 2 rRNA genes and a D-loop (control region).
Background : Microalbuminuria is a term to describe a moderate increase in the level of urine albumin. It occurs when the kidney leaks small amounts of albumin into the urine. The main objective of this study is to determine the correlation between microalbuminuria and diabetic kidney disease at a tertiary care hospital in Chittagong.
Materials and methods : Institutional based cross- sectional study design was conducted on randomly selected diabetic population from Chittagong Diabetic and General Hospital by using systematic random sampling method from 1st June to 30th November 2019.
Results : Out of a total of 160 participants, the prevalence of microalbuminuria was in 59(36.9%) patients. Ten (6.3%) patients had cardiovascular disease, 18(11.3%) had neuropathy, 7(4.4%) had retinopathy, 117(73.1%) had hypertension and 47(29.4%) had duration of diabetes of 610 years. Majority 132(82.5%) patients had stage 1-2 followed by 22(13.8%) had stage 3, 4(2.5%) had stage 4 and 2(1.3%) had stage 5. Gender, age, cardiovascular, retinopathy, hypertension, BMI, albumin to creatinine ratio, fasting sugar, creatinine level and LDL were not statistically significant (p>0.05) when compared to different stages of CKD. Stage 1-2 was significantly higher in no microalbuminuria group than microalbuminuria group (92.1% vs 66.1%). Stage 3 was significantly higher in microalbuminuria group than no microalbuminuria group (23.7% vs 7.9%). Stage 4 was significantly higher in microalbuminuria group 4(6.8%) and Stage 5 was higher in the microalbuminuria group 2(3.4%).
Conclusion: Neuropathy, mean diabetes duration, mean HbA1c, and mean Triglyceride were significantly greater in CKD stage 5 than in other stages of illness in the current research. When comparing different stages of CKD, mean HDL was considerably lower in stage 5. In the microalbuminuria group, CKD Stages 3, 4, and 5 were considerably higher than in the non-microalbuminuria group.
JCMCTA 2022 ; 33 (1) : 50-55
The dengue virus (DENV) causes dengue infection and has become a significant global public health concern. The successful application of immunotherapies in treating dengue infection has paved the way for developing various treatment strategies. Among these strategies, the multiepitope vaccine has emerged as a promising approach. We applied an in silico immune-informatics approach to develop a multiepitope vaccine including MHC-I, MHC-II, and B cell epitopes of the NS1, E, and M proteins. The vaccine was found to be a structurally stable protein (Z score = −4.71), indicating its effectiveness. High affinity was shown by molecular docking studies between the vaccine and human receptors (toll-like receptor 2 and toll-like receptor 4). Following codon optimization and in silico cloning, the vaccine was successfully expressed (CAI value of 0.9588) after being inserted into the pET-30a (+) plasmid of the E. coli K12 strain. However, the vaccine's potential to elicit immunological responses (such as B cell, T cell, antibody, and cytokine responses) against the dengue virus serotype 3 (DENV-3) has been established through immune simulation. The majority of existing dengue vaccines have shown little efficacy in the management of dengue infection. Furthermore, there is currently no licenced multiepitope vaccine for dengue virus serotype 3 (DENV-3) that encompasses all three significant proteins. Consequently, our proposed vaccine has the potential to be an effective weapon in combating dengue infection. Further studies should be conducted to evaluate the safety, effectiveness, and potential adverse effects of this multiepitope vaccine in human subjects to facilitate its further development.
Abstract Objectives Black Bengal goat ( Capra hircus ), a member of the Bovidae family with the unique traits of high prolificacy, skin quality and low demand for food is the most socioeconomically significant goat breed in Bangladesh. Furthermore, the aptitude of adaptation and disease resistance capacity of it is highly notable which makes its whole genome information an area of research interest. Data description The genomic DNA of local (Chittagong, Bangladesh) healthy Black Bengal goat ( Capra hircus ) was extracted and then sequenced. The de novo assembly and structural annotations are being presented here. Sequencing was done using Illumina sequencing platform and the draft genome assembled is about 3.04 Gb. 26458 Genes were annotated using Maker gene annotations tool which predicted BUSCO Gene models. Universal Single Copy Orthologs refer 82.5% completeness of the assembled genome.
Black Bengal goat (Capra hircus), a member of the Bovidae family with the unique traits of high prolificacy, skin quality and low demand for food is the most socioeconomically significant goat breed in Bangladesh. Furthermore, the aptitude of adaptation and disease resistance capacity of it is highly notable which makes its whole genome information an area of research interest. The genomic DNA of a local (Chattogram, Bangladesh) healthy male Black Bengal goat (Capra hircus) was extracted and then sequenced. Sequencing was completed using the Illumina HiSeq 2500 sequencing platform and the draft assembly was generated using the "ARS1" genome as the reference. MAKER gene annotation pipeline was utilized to annotate 26,458 gene models. Genome completeness was assessed using BUSCO (Benchmarking Universal Single-Copy Orthologs) which showed 82.5% completeness of the assembled genome.
Journal of Medical VirologyVolume 95, Issue 5 e28828 ERRATUMFree Access Erratum This article corrects the following: SARS-CoV-2 infection alters the gut microbiome in diabetes patients: A cross-sectional study from Bangladesh Adnan Mannan, M. Nazmul Hoque, Sajjad Hossain Noyon, H. M. Hamidullah Mehedi, Md Javed Foysal, Asma Salauddin, S. M. Rafiqul Islam, Farjana Sharmen, Afroza Akter Tanni, AMAM Zonaed Siddiki, Alfred Tay, Md Moradul Siddique, M. Shaminur Rahman, Syed Md. Galib, Farhana Akter, Volume 95Issue 4Journal of Medical Virology First Published online: April 4, 2023 First published: 25 May 2023 https://doi.org/10.1002/jmv.28828AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL The article1 to which this erratum refers was published in Journal of Medical Virology 95(4): e28691 (https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmv.28691) The author affiliations have been corrected. The correct affiliations should read as follows: Adnan Mannan1,2|M. Nazmul Hoque3|Sajjad Hossain Noyon1,2|H. M. Hamidullah Mehedi4|Md Javed Foysal5|Asma Salauddin1,2|S. M. Rafiqul Islam1,2|Farjana Sharmen1,2|Afroza Akter Tanni1,2|AMAM Zonaed Siddiki6|Alfred Tay7|Md Moradul Siddique8|M. Shaminur Rahman9|Syed Md. Galib8|Farhana Akter10 1Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh 2Next Generation Sequencing, Research and Innovation laboratory Chittagong (NRICh), Biotechnology Research and Innovation Centre (BRIC), Department of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh 3Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh 4Department of Medicine, 250 Bedded General Hospital, Chattogram, Bangladesh 5School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia 6COVID Diagnostic Lab, Department of Pathology and Parasitology, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh 7Helicobacter Research Laboratory, Marshall Centre for Infectious Disease Research and Training, School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia 8Department of Computer Science and Engineering, Jashore University of Science and Technology, Jashore, Bangladesh 9Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh 10Department of Endocrinology, Chittagong Medical College, Chattogram, Bangladesh The authors regret this error. REFERENCE 1Mannan A, Hoque MN, Noyon SH, et al. SARS-CoV-2 infection alters the gut microbiome in diabetes patients: a cross-sectional study from Bangladesh. J Med Virol 2023; 95:e28691. doi:10.1002/jmv.28691 Volume95, Issue5May 2023e28828 ReferencesRelatedInformation
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