Biology subjects

Shams, S.

Publications and source records attributed to Shams, S..

8 recordsLinked to original sources

bioRxiv2026

Nephrotoxicity of Immune Checkpoint Inhibitors in Mice with a Human Immune System

IntroductionImmune checkpoint inhibitors (ICIs) enhance antitumor responses by blocking inhibitory receptors, including PD-1 and CTLA-4. Overactivation can trigger systemic toxicity akin to autoimmune diseases, including kidney manifestations. We sought to 1) profile immune signaling and 2) interrogate potential mechanisms of ICI-related kidney injury in a Human Immune System (HIS) tumor-bearing mouse model treated with nivolumab and ipilimumab. MethodsImmunodeficient BRGS (BALB/c-Rag2nullIl2r{gamma}nullSirpNOD) neonates were engrafted with human CD34+ cells to generate HIS-BRGS mice. Human MDA-MB-231 tumor cells were implanted subcutaneously; once tumors reached [~]150 mm3, mice received weekly intraperitoneal vehicle (PBS) or ICI (nivolumab 20 mg/kg + ipilimumab 10 mg/kg) for 4 weeks (Veh BRGS n=4; ICI BRGS n=6; Veh HIS-BRGS n=7; ICI HIS-BRGS n=7). Kidneys were evaluated by histopathology (H&E, TEM), flow cytometry for human immune phenotypes, multiplex ELISA (80 human proteins; 10 injury biomarkers), bulk RNA sequencing, and targeted qPCR. Pearson correlations identified predictors of histopathological injury. ResultsRenal vasculitis and interstitial nephritis were observed only in ICI-treated HIS-BRGS mice. These kidneys showed a shift toward CD4+ T-cell enrichment with an increased TNF- production capacity compared to CD8+ counterparts. Toxicity was accompanied by increased renal concentrations of human cytokines, chemokines, and soluble receptors. ICI treatment significantly elevated serine proteases (Granzyme A/B) and NGF-{beta}, while decreasing IL-4. Interstitial nephritis correlated with renal PD-1 and MIF. Renal vasculitis correlated with kidney PD-1, CCL1, MIF, Granzyme A, IL-15, and BAFF. Traditional injury biomarkers (KIM-1, NGAL) remained unchanged; however, a trending decrease in EGF was observed. ConclusionsOur study suggests that shifts in human T-cell populations and specific immune proteins could serve as promising biomarkers and mechanistic targets for ICI nephrotoxicity. The tumor-bearing HIS-BRGS mouse model reproducibly recapitulates the histopathological and immunological features of human ICI-induced nephrotoxicity and represents a validated preclinical platform for testing novel therapeutic interventions to preserve kidney function during cancer immunotherapy. Translational StatementImmune checkpoint inhibitor (ICI)-associated nephrotoxicity occurs in up to 25% of treated patients, yet the immunological mechanisms driving renal injury remain poorly characterized due to the scarcity of human biopsy material and the absence of robust preclinical models that recapitulate human immune responses. This study demonstrates that tumor-bearing humanized immune system (HIS) mice treated with combined nivolumab and ipilimumab reproducibly develop renal vasculitis and interstitial nephritis mediated by a human CD4+ T cell-dominant infiltrate, mirroring the clinicopathological features reported in patients with ICI-associated acute kidney injury. By integrating histopathology, flow cytometry, multiplex proteomics, and transcriptomics, we identify a coordinated immune network, including IL-15, CCL1, MIF, GZMA, and BAFF, that correlates with the severity of renal pathology and represents tractable mechanistic targets and candidate biomarkers. These findings provide a validated preclinical platform for dissecting irAE mechanisms and testing novel therapeutic strategies to preserve kidney function during cancer immunotherapy.

pharmacology and toxicology↗

bioRxiv2023

Harnessing EGLN1 Gene Editing to Amplify HIF-1α and Enhance Human Angiogenic Response

Therapeutic angiogenesis has been the focus of hundreds of clinical trials but approval for human treatment remains elusive. Current strategies often rely on the upregulation of a single proangiogenic factor, which fails to recapitulate the complex response needed in hypoxic tissues. Hypoxic oxygen tensions dramatically decrease the activity of hypoxia inducible factor prolyl hydroxylase 2 (PHD2), the primary oxygen sensing portion of the hypoxia inducible factor 1 alpha (HIF-1) proangiogenic master regulatory pathway. Repressing PHD2 activity increases intracellular levels of HIF-1 and impacts the expression of hundreds of downstream genes directly associated with angiogenesis, cell survival, and tissue homeostasis. This study explores activating the HIF-1 pathway through SpCas9 knockout of the PHD2 encoding gene EGLN1 as an innovative in situ therapeutic angiogenesis strategy for chronic vascular diseases. Our findings demonstrate that even low editing rates of EGLN1 lead to a strong proangiogenic response regarding proangiogenic gene transcription, protein production, and protein secretion. In addition, we show that secreted factors of EGLN1 edited cell cultures may enhance human endothelial cell neovascularization activity in the context of proliferation and motility. Altogether, this study reveals that EGLN1 gene editing shows promise as a potential therapeutic angiogenesis strategy.

bioengineering↗

bioRxiv2022

Modeling the carbon-dioxide response function in fMRI under task and resting-state conditions

Conventionally, cerebrovascular reactivity (CVR) is estimated as the amplitude of the hemodynamic response to vascular stimuli. While the CVR amplitude has established clinical utility, the temporal characteristics of CVR have been increasingly explored and may yield even more pathology-sensitive parameters. This work is motivated by the current need to evaluate the feasibility of dCVR modeling in various noise conditions. In this work, we present a comparison of several recently published model-based deconvolution approaches for estimating h(t), including maximum a posterior likelihood (MAP), inverse logit (IL), canonical correlation analysis (CCA), and basis expansion (using Gamma and Laguerre basis sets). To aid the comparison, we devised a novel simulation framework that allowed us to target a wide range of SNRs, ranging from 10 to -7 dB, representative of both task and resting-state CO2 changes. In addition, we built ground-truth h(t) into our simulation framework, overcoming the practical limitation that the true h(t) is unknown in methodological evaluations. Moreover, to best represent realistic noise found in fMRI scans, we extracted it from in-vivo resting-state scans. Furthermore, we introduce a simple optimization of the CCA method (CCAopt) and compare its performance to these existing methods. Our findings suggest that model-based methods can reasonably estimate dCVR even amidst high noise, and in a manner that is largely independent of the underlying model assumptions for each method. We also provide a quantitative basis for making methodological choices, based on the desired dCVR parameters, the estimation accuracy and computation time. The BEL method provided the highest accuracy and robustness, followed by the CCAopt and IL methods. Of the three, the CCAopt method required the lowest computational time. These findings lay the foundation for wider adoption of dCVR estimation in CVR mapping.

biophysics↗

bioRxiv2022

The canonical HPA axis contributes to locomotion during photoadaptation but is not required

The hypothalamic-pituitary-adrenal (HPA) axis and its effector molecules--glucocorticoids--modulate diverse aspects of physiology in vertebrates ranging from metabolism to immune function, behavior, and circadian cycle. While the glucocorticoid receptor (nr3c1) is known to be involved in light adaptation (photoadaptation) of the retinal cells, the role of nr3c1 and other HPA axis signaling molecules in the behavioral phenotypes observed during photoadaptation have not been delineated. Therefore, we investigated locomotor adaptation to various light/dark durations using larval zebrafish that carry a mutated allele in key HPA axis receptors. First, we established baseline locomotion and compared WT and nr3c1 mutant larvae in constantly lit and dark conditions (for 12-hrs). WT larval zebrafish showed highest locomotor activity in the middle of the day and low activity during the early and later parts of the day, which was generally higher in the light. The baseline locomotion was depressed in nr3c1 mutants throughout the day in both environments with a more significant change noted in the light. Next, groups of larvae mutant in nr3c1, nr3c2 (mineralocorticoid receptor), or mc2r (melanocortin receptor type 2; adrenocorticotropic hormone (ACTH) receptor) along with their wildtype (WT) siblings were acclimated in the dark and underwent four cycles of dark-light illumination changes with different durations of illumination: 7.5, 6, 4, or 2 min. The nr3c1 and mc2r mutant fish showed significantly decreased locomotion during the dark phase when the illumination was provided for 4 or 2 min. However, with 4 min or longer illumination, if locomotor deficits were observed in mutant larvae, they demonstrated a "catch-up" phenotype with increasing locomotion during the later dark phases of the assay and ultimately reaching the swimming distances indistinguishable from their WT siblings in the assays with 7.5-min illumination. Finally, we looked at effects of light intensity, beginning with our short light exposure. A lower intensity of light failed to elicit any response even from WT fish after 1-min illumination. However, this dim light still evoked a robust response from nr3c1 mutants and their WT siblings after 7.5-min illumination. The nr3c2 mutant larvae consistently showed locomotor response similar to their WT siblings regardless of the length of the light phase. Thus, activation of the canonical HPA axis (i.e. nr3c1, mc2r) was necessary to induce a rapid locomotor adaptation following after light to dark transition with shorter light exposure times (~[≤]4 min), but it was not needed for locomotor responses observed after longer exposure to light (~> 4 min). Moreover, the locomotor response after transitioning to dark from a short (1 min) exposure was dependent on the intensity of light, whereas the longer exposure was not. Together, these findings suggest that locomotion after longer exposure to light is not dependent on the HPA axis, suggesting that either parallel independent pathway(s) are responsible for the locomotor response in these cases or that the HPA axis facilitates a primary pathway to increase sensitivity to light exposure.

neuroscience↗

bioRxiv2021

Protein Organization with Manifold Exploration and Spectral Clustering

We present a method to provide a biologically meaningful representation of the space of protein sequences. While billions of protein sequences are available, organizing this vast amount of information into functional categories is daunting, time-consuming and incomplete. We present our unsupervised approach that combines Transformer protein language models, UMAP graphs, and spectral clustering to create meaningful clusters in the protein spaces. To demonstrate the meaningfulness of the clusters, we show that they preserve most of the signal present in a dataset of manually curated enzyme protein families.

bioinformatics↗

bioRxiv2020

The neuronal associations of respiratory-volume variability in the resting state

The desire to enhance the sensitivity and specificity of resting-state (rs-fMRI) measures has prompted substantial recent research into removing noise components. Chief among contributions to noise in rs-fMRI are physiological processes, and the neuronal implications of respiratory-volume variability (RVT), a main rs-fMRI-relevant physiological process, is incompletely understood. The potential implications of RVT in modulating and being modulated by autonomic nervous regulation, has yet to be fully understood by the rs-fMRI community. In this work, we use high-density electroencephalography (EEG) along with simultaneously acquired RVT recordings to help address this question. We hypothesize that (1) there is a significant relationship between EEG and RVT in multiple EEG bands, and (2) that this relationship varies by brain region. Our results confirm our first hypothesis, although all brain regions are shown to be equally implicated in RVT-related EEG-signal fluctuations. The lag between RVT and EEG is consistent with previously reported values. However, an interesting finding is related to the polarity of the correlation between RVT and EEG. Our results reveal potentially two main regimes of EEG-RVT association, one in which EEG leads RVT with a positive association between the two, and one in which RVT leads EEG but with a positive association between the two. We propose that these two patterns can be interpreted differently in terms of the involvement of higher cognition. These results further suggest that treating RVT simply as noise is likely a questionable practice, and that more work is needed to avoid discarding cognitively relevant information when performing physiological correction rs-fMRI.

biophysics↗

bioRxiv2020

Single-cell epigenomic identification of inherited risk loci in Alzheimer's and Parkinson's disease

Genome-wide association studies (GWAS) have identified thousands of variants associated with disease phenotypes. However, the majority of these variants do not alter coding sequences, making it difficult to assign their function. To this end, we present a multi-omic epigenetic atlas of the adult human brain through profiling of the chromatin accessibility landscapes and three-dimensional chromatin interactions of seven brain regions across a cohort of 39 cognitively healthy individuals. Single-cell chromatin accessibility profiling of 70,631 cells from six of these brain regions identifies 24 distinct cell clusters and 359,022 cell type-specific regulatory elements, capturing the regulatory diversity of the adult brain. We develop a machine learning classifier to integrate this multi-omic framework and predict dozens of functional single nucleotide polymorphisms (SNPs), nominating gene and cellular targets for previously orphaned GWAS loci. These predictions both inform well-studied disease-relevant genes, such as BIN1 in microglia for Alzheimers disease (AD) and reveal novel gene-disease associations, such as STAB1 in microglia and MAL in oligodendrocytes for Parkinsons disease (PD). Moreover, we dissect the complex inverted haplotype of the MAPT (encoding tau) PD risk locus, identifying ectopic enhancer-gene contacts in neurons that increase MAPT expression and may mediate this disease association. This work greatly expands our understanding of inherited variation in AD and PD and provides a roadmap for the epigenomic dissection of noncoding regulatory variation in disease.

genomics↗

bioRxiv2019

Differential detection of Entamoeba species in stool samples collected from children in District Swat, Khyber Pakhtunkhwa Pakistan

BackgroundAmoebiasis is an intestinal disease caused by enteric protozoan called Entamoeba histolytica belongs to the Genus Entamoeba. The main reason of infection is the contamination of food and water due to the poor sanitation. Among Entamoeba species, Entamoeba histolytica is highly pathogenic while the other species are non-pathogenic and needs no medical treatment.\n\nMethodologyA total of 400 stool samples were collected from different areas of district Swat and were processed for screening of amoebic cells. Microscopically identified samples containing amoebic cells were stored at -20 {degrees}C till DNA extraction. Extracted DNA was used in a PCR reaction with specific reference primers to amplify the target DNA.\n\nResultsOut of all 400 stool samples 111 (27.7%) were found positive through microscopy while PCR reaction confirmed 80 out of microscope positive samples. Among 80 PCR positive samples, the infection with Entamoeba dispar was most common (57.5%) followed by E. histolytica (47.5%) and Entamoeba moshkovskii (20%). The positive cases for mono-infection of E. dispar were 33 (41.25%), followed by E.histolytica 25 (31.25%) and E. moshkovskii 7 (8.75%). The co-infection of E. histolytica with E. dispar and E. moshkovskii was 6 (7.5%) and 2 (2.5%), respectively. Similarly the co-infection of Entamoeba dispar with Entamoeba moshkovskii was also 2 (2.5%) while 5 (6.25%) samples were observed with mixed infection of E. histolytica, E. dispar and E. moshkovskii.\n\nSignificance of the studyThe aim of the study was to detect and differentiate the E. histolytica, Entamoeba dispar and Entamoeba moshkovskii using conventional microscopy and polymerase chain reaction. The results suggested that the use of PCR is necessary to differentiate E. histolytica from E. dispar and E. moshkovskii and therefore, to avoid unnecessary treatment the present study recommend the use of PCR for the routine diagnosis of amoebiasis in the study area. It is also suggested that further studies from this area may also facilitate the understanding of genetic diversity of these pathogens.

microbiology↗