Biology subjects

Akram, A.

Publications and source records attributed to Akram, A..

5 recordsLinked to original sources

bioRxiv2026

Combining 3D-multispectral and hyperspectral imaging to identify environmental stress treatments imposed during plant growth

Non-invasive, high-throughput phenotyping tools are needed that can identify environmental effects on plant structure and function to diagnose factors responsible for reduced growth in commercial and non-commercial settings. In this study, we explored whether the integration of 3D-multispectral (3D) and 2D-hyperspectral imaging (HSI), aided by machine learning (ML), could be used to identify environmental stress treatments imposed during plant growth. Controlled environment-grown Nicotiana Benthamiana plants were subjected to a range of abiotic treatments - including different growth irradiances, heat treatment and drought stress - with the treatments resulting in differences in shoot height, biomass, leaf area and spectral reflectance. ML models were trained to identify these treatments using morphological and spectral traits measured at 27, 29, 31, and 34 days after sowing (DAS). A 3D-multispectral scanner was used to obtain information on plant height, biomass, and leaf area. A visible and near-infrared (VNIR) HSI camera provided detailed spectral information for deriving spectral indices including the Normalised Difference Vegetation Index (NDVI), Photochemical Reflectance Index (PRI) and Normalized Difference Red Edge (NDRE). Manual measurements provided baseline comparative data. The 3D-multispectral scanner reliably estimated above-ground traits, with high correlations between manual and scanner-derived measurements. The ML models accurately differentiated among environmental stress treatments, with the fused 3D+HSI model achieving the best overall predictive performance across all evaluated metrics compared with models based on either imaging modality alone. Results demonstrated the effectiveness of combining 3D-multispectral and 2D-HSI data with ML analyses for non-destructive, high-throughput phenotyping. The integration of these techniques enabled non-destructive, high-throughput identification of environmental stress treatments imposed during plant growth.

plant biology↗

bioRxiv2025

Sequence-encoded interactions program internal condensate architecture

Many cellular condensates, such as the nucleolus and stress granules, contain multiple coexisting phases with distinct compositions and material properties. This internal organization is crucial for function, yet how it is established remains unclear. Here, using a programmable DNA system, we reveal how molecular interactions can precisely encode multiphase architecture. We find that phase separation drives macromolecules into a semi-dilute regime where subtle differences in homotypic interaction energies are amplified into dominant organizational forces. A critical interaction energy threshold must be overcome to trigger internal demixing, after which molecular partitioning scales near-linearly with interaction strength. This universal relationship is captured by an associative polymer model, and enables engineering of condensates with up to four coexisting phases exhibiting 100-fold differences in viscosity within the same droplet. These design principles extend to RNA-peptide systems, establishing a general framework for how sequence can program hierarchical self-assembly and organize biological matter.

biophysics↗

bioRxiv2024

Phytochemical Analysis and Cytotoxic Effects of Phyllanthus polygonoides Leaf Extracts on Hepatocellular Carcinoma: A Combined In-Vitro and In-Silico Approach

The authors have withdrawn their manuscript owing to the Paper was mistakenly uploaded by the students and the paper was having a lots of mistake and fake data. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

bioinformatics↗

bioRxiv2023

Indigenous Reduction of Multi-drug Resistant Bacterial Pathogens in a Natural Uncontrolled Fermented Milk Ecosystem

Raw milk and its products have been questioned for microbiological safety. However, Dahi: an artisanally fermented milk product that is yet microbiologically unexplored is popularly known for therapeutic uses in public. Aiming safety and therapeutic assessment of dahi, samples of raw milk and dahi were analysed for microbiology and bacterial pathogens. The pathogens were also evaluated for antibiotic resistance. Further dahi samples were assessed for antipathogen effect. The total bacterial count of raw milk was between 3.80 x 1002 to 2.97 x 1007 and total fungal count was 2.50 x 1001 to 4.90 x 1002 whereas total bacterial and fungal count of Dahi was 3.00 x 1001 to 4.05 x 1009 and 2.00 x 1001 to 5.30 x 1007. Bacterial population of the Dahi was found dominated by lactic acid bacteria. In milk samples, E. coli was detected as 38%, S. aureus 28%, L. monocytogenes 3%, Salmonella 42% and Pseudomonas spp 31%. In Dahi samples, their percentages were 7%, 10%, 7%, 8% and 2% respectively. The detected pathogens were found resistant against different antibiotics especially to third and fourth generations of cephalosporin and other beta-lactam drugs. When assessed invitro, the low incidence of pathogens in the Dahi samples were associated to its inhibitory effect against pathogens. Dahi samples also inhibited the growth of antibiotic resistance ATCC strains. The inhibitory activity of the Dahi is due to the changes occurs during fermentation but not corelated to the pH of the Dahi.

microbiology↗

bioRxiv2019

Hepatitis E as a cause of adult hospitalization in Bangladesh: Results from an acute jaundice surveillance study in six tertiary hospitals, 2014-2017

In the absence of reliable data on the burden of hepatitis E virus (HEV) in high endemic countries, we established a hospital-based acute jaundice surveillance program in six tertiary hospitals in Bangladesh to estimate the burden of HEV infection among hospitalized acute jaundice patients aged [≥]14 years, identify seasonal and geographic patterns in the prevalence of hepatitis E, and examine factors associated with death.\n\nWe collected blood specimens from enrolled acute jaundice patients, defined as new onset of either yellow eyes or skin during the past three months of hospital admission, and tested for immunoglobulin M (IgM) antibodies against HEV, HBV and HAV. The enrolled patients were followed up three months after hospital discharge to assess their survival status; pregnant women were followed up three months after their delivery to assess pregnancy outcomes.\n\nFrom December2014 to September2017, 1925 patients with acute jaundice were enrolled; 661 (34%) had acute hepatitis E, 48 (8%) had hepatitis A, and 293 (15%) had acute hepatitis B infection. Case fatality among hepatitis E patients was 5% (28/589). Most of the hepatitis E cases were males (74%; 486/661), but case fatality was higher among females--12% (8/68) among pregnant and 8% (7/91) among non-pregnant women. Half of the patients who died with acute hepatitis E had co-infection with HAV or HBV. Of the 62 HEV infected mothers who were alive until the delivery, 9 (15%) had miscarriage/stillbirth, and of those children who were born alive, 19% (10/53) died, all within one week of birth.\n\nThis study confirms that hepatitis E is the leading cause of acute jaundice, leads to hospitalizations in all regions in Bangladesh, occurs throughout the year, and is associated with considerable morbidity and mortality. Effective control measures should be taken to reduce the risk of HEV infections including improvements in water quality, sanitation and hygiene practices and the introduction of HEV vaccine to high-risk groups.\n\nAuthor summaryIn the absence of reliable surveillance data on the burden of hepatitis E in endemic countries, we conducted a hospital-based acute jaundice surveillance study over a two and a half year period in six tertiary hospitals in Bangladesh. The study confirms that HEV infections occur throughout the year, and is a major (34%) cause of acute jaundice in tertiary hospitals in Bangladesh. Three-quarters of the acute hepatitis E cases were male, and HEV infection was higher among patients residing in urban areas than patients in rural areas (41% vs 32%). The overall case fatality rate of acute HEV infections in hospitals was 5%, but was higher among pregnant women (12%). Hepatitis E patients who died were more likely to have co-infection with HAV or HBV than the HEV infected patients who did not die. Fifteen percent of HEV infected mothers had miscarriage/stillbirth. Of the children who were born alive, 19% died, all within one week of birth. Considering the high burden of hepatitis E among hospitalized acute jaundice patients, Bangladesh could take control measures to reduce this risk including improvements in water quality, sanitation and hygiene practices and the introduction of hepatitis E vaccine in high-risk areas.

scientific communication and education↗