Biology subjects

Iqbal, R.

Publications and source records attributed to Iqbal, R..

5 recordsLinked to original sources

bioRxiv2026

COMPARATIVE EFFECTS OF FLAXSEED SUPPLEMENTATION ON HEMATOLOGICAL PARAMETERS, LIPID PROFILE AND IMMUNITY OF MALE RABBIT

Flaxseeds have high nutritive value due to the presence of proteins, lignins (SDG), fatty acids, vitamins, dietary fibers, minerals and carbohydrates. This research was conducted to evaluate the effect of distinct doses of flaxseeds on hematological parameters, immunity and lipid profile of male rabbit. In this research, 60 male rabbits were isolated into four groups, three treatment groups T1, T2 and T3 and a control group T0, with 15 rabbits in each group. The treatment groups were given 4%, 6% and 8% of flaxseeds per daily diet for 45 days. On 15th, 30th and 45th day of experiment, blood samples were collected to examine their hematological parameters. Serum was separated from the collected blood sample to perform ELISA and serum lipid profile test to assess antibody titer and lipid profile of the rabbits respectively. The results indicated a significant reduction in TC, TG, and LDL-C levels in contrast to HDL-C which increased significantly in all treatment groups. Whereas, the statistical analysis of hematological parameters showed an HSD (p[≤]0.05) in flaxseed treated groups. A maximum level of Hb, WBCs, RBCs, MCHC, MCV, HCT, MCH and differential leukocytes count was recorded in high dose group T3 (8% flaxseeds) followed by medium dose group T2 (6% flaxseeds) and low dose group T1 (4% flaxseeds) respectively. There was a significant rise in antibody titer (p[≤]0.05) against RHDV (Rabbit Hemorrhagic Disease Virus) comparable to non-treated group. The outcomes illustrated that flaxseeds as nutritional supplement are undoubtedly beneficial to health and prevent various diseases. Study contributionThis research specifically explores how dietary supplementation with flaxseeds, a widely recognized source of omega-3 fatty acids, fiber, and antioxidants, can influence metabolic health and immune function. These findings have significant implications for nutritional interventions aimed at improving cardiovascular health, immune support, and overall well-being, making it highly relevant to the journals readership. The aim of this study was to investigates the dose-dependent effect of flaxseeds on hematological parameters, lipid profile and immunity of male rabbits. Using a controlled experimental design, male rabbits were fed a diet supplemented with varying doses of flaxseeds over a period of 45 days. Key parameters such as total cholesterol, triglycerides, LDL-C, HDL-C, antibody titer, red, white blood cell, platelet counts, Hb, HCT, MCV. MCHC, MCH and differential leukocytes levels were measured to assess the impact of flaxseeds. The results demonstrated that flaxseed supplementation significantly restored lipid profiles by reducing total cholesterol and triglycerides, LDL-C and increasing HDL-C while also enhancing immune function by rising antibody titer and maintaining healthy blood profiles in the subjects.

zoology↗

bioRxiv2025

A Radiomic Approach to Clinical MRI Refines the Thalamus-Cognition Link in Multiple Sclerosis

Background and ObjectivesRadiomics extracts imaging features that may not be detectable through conventional volumetric analyses. Given their role in multiple sclerosis (MS), we applied radiomics to thalamic nuclei and examined their associations with cognitive performance. MethodsA total of 601 individuals were included (342 people with MS-PwMS from two cohorts, and 259 healthy controls-HC). Radiomic features (RF) and volumes were extracted from the whole thalamus, five thalamic nuclei, and the putamen segmented on 3D T1-weighted images. Cognitive performance was assessed using the Symbol Digit Modalities Test (SDMT) and Paced Auditory Serial Addition Test (PASAT) in PwMS, and the Digit Symbol Substitution Test (DSST) in HC. In the first MS cohort, multivariate linear regression in a discovery set (N=103) identified thalamus-derived RF associated with SDMT, which were retested in a replication set (N=63). Their associations with PASAT in a second MS cohort (N=176) and DSST in HC were also evaluated. We then tested whether the same RF, when extracted from the putamen, were associated with SDMT. LASSO models assessed the combined predictive value of RF and volumes. Figure 2 presents an overview of the involvement of different cohorts in the study, outlining the specific study objectives and the statistical analysis approaches employed. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=110 SRC="FIGDIR/small/657698v1_fig2.gif" ALT="Figure 2"> View larger version (40K): org.highwire.dtl.DTLVardef@6f1dd8org.highwire.dtl.DTLVardef@11069c6org.highwire.dtl.DTLVardef@905512org.highwire.dtl.DTLVardef@1c12171_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 2.C_FLOATNO Overview of the involvement of different cohorts in the study, specific study objectives and the statistical analysis approaches employed. Abbreviations: SDMT: Symbol Digit Modalities Test, PASAT: Paced Auditory Serial Addition Test, DSST: Digit Symbol Substitution Test, LASSO: Least Absolute Shrinkage and Selection Operator. C_FIG ResultsTwenty-eight RF-ROI pairs were associated with SDMT in the replication set (FDR<0.05). Of these, 24 were also associated with PASAT (FDR[≤]0.03), and 2 with DSST. Only ventral nuclei volume showed replicated associations among volumetrics. Only 4 putamen-derived pairs were associated with SDMT (FDR=0.04). LASSO results confirmed RF outperformed volumes. DiscussionRF extracted from the thalamus are strongly associated with cognitive performance in PwMS, outperforming volumetric measures and supporting their potential as sensitive imaging biomarkers.

neuroscience↗

bioRxiv2024

Transcriptional and phenotypic heterogeneity underpinning venetoclax resistance in AML

The venetoclax BCL2 inhibitor in combination with hypomethylating agents represents a cornerstone of induction therapy for older AML patients, unfit for intensive chemotherapy. Like other targeted therapies, venetoclax-based therapies suffer from innate and acquired resistance. While several mechanisms of resistance have been identified, the heterogeneity of resistance mechanism across patient populations is poorly understood. Here we utilized integrative analysis of transcriptomic and ex-vivo drug response data in AML patients to identify four transcriptionally distinct VEN resistant clusters (VR_C1-4), with distinct phenotypic, genetic and drug response patterns. VR_C1 was characterized by enrichment for differentiated monocytic- and cDC-like blasts, transcriptional activation of PI3K-AKT-mTOR signaling axis, and energy metabolism pathways. They showed sensitivity to mTOR and CDK inhibition. VR_C2 was enriched for NRAS mutations and associated with distinctive transcriptional suppression of HOX expression. VR_C3 was characterized by enrichment for TP53 mutations and higher infiltration by cytotoxic T cells. This cluster showed transcriptional expression of erythroid markers, suggesting tumor cells mimicking erythroid differentiation, activation of JAK-STAT signaling, and sensitivity to JAK inhibition, which in a subset of cases synergized with venetoclax. VR_C4 shared transcriptional similarities with venetoclax-sensitive patients, with modest over-expression of interferon signaling. They were also characterized by high rates of DNMT3A mutations. Finally, we projected venetoclax-resistance states onto single cells profiled from a patient who relapsed under venetoclax therapy capturing multiple resistance states in the tumor and shifts in their abundance under venetoclax selection, suggesting that single tumors may consist of cells mimicking multiple VR_Cs contributing to intra-tumor heterogeneity. Taken together, our results provide a strategy to evaluate inter- and intra-tumor heterogeneity of venetoclax resistance mechanisms and provide insights into approaches to navigate further management of patients who failed therapy with BCL2 inhibitors.

cancer biology↗

bioRxiv2020

Batch-Corrected Distance Mitigates Temporal and Spatial Variability for Clustering and Visualization of Single-Cell Gene Expression Data

Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. Batch effect, i.e., the variability among samples gathered from different times, tissues, and patients, introduces large between-group distance and obscures the true identities of cells. To solve this problem, we introduce Batch-Corrected Distance (BCD), a metric using temporal/spatial locality of the batch effect to control for such factors. We validate BCD on a simulated data as well as applied it to a mouse retina development dataset and a lung dataset. We also found the utility of our approach in understanding the progression of the Coronavirus Disease 2019 (COVID-19). BCD achieves more accurate clusters and better visualizations than state-of-the-art batch correction methods on longitudinal datasets. BCD can be directly integrated with most clustering and visualization methods to enable more scientific findings.

bioinformatics↗

bioRxiv2020

Ab initio Spillover Compensation in CyTOF Data

Signal intensity measured in a mass cytometry (CyTOF) channel can often be affected by the neighboring channels due to technological limitations. Such signal artifacts are known as spillover effects and can substantially limit the accuracy of cell population clustering. Current approaches reduce these effects by using additional beads for normalization purposes known as single-stained controls. While effective in compensating for spillover effects, incorporating single-stained controls can be costly and require customized panel design. This is especially evident when executing large-scale immune profiling studies. We present a novel statistical method, named CytoSpill that independently quantifies and compensates the spillover effects in CyTOF data without requiring the use of single-stained controls. Our method utilizes knowledge-guided modeling and statistical techniques, such as finite mixture modeling and sequential quadratic programming, to achieve optimal error correction. We evaluated our method using five publicly available CyTOF datasets obtained from human peripheral blood mononuclear cells (PBMCs), C57BL/6J mouse bone marrow, healthy human bone marrow, chronic lymphocytic leukemia patient, and healthy human cord blood samples. In the PBMCs with known ground truth, our method achieved comparable results to experiments that incorporated single-stained controls. In datasets without ground-truth, our method not only reduced spillover on likely affected markers, but also led to the discovery of potentially novel subpopulations expressing functionally meaningful, cluster-specific markers. CytoSpill (developed in R) will greatly enhance the execution of large-scale cellular profiling of tumor immune microenvironment, development of novel immunotherapy, and the discovery of immune-specific biomarkers. The implementation of our method can be found at https://github.com/KChen-lab/CytoSpill.git.

bioinformatics↗