Biology subjects

Lam, W.

Publications and source records attributed to Lam, W..

10 recordsLinked to original sources

bioRxiv2026

Telmisartan alters the transcriptomes of cancer associated fibroblasts and fibrocytes in a solid tumour model

Cancer associated fibroblasts (CAFs) are the main contributors to fibrosis in solid tumours. Fibrosis can lead to increased tumoural stiffness, immune cell exclusion, and poor response to cancer therapies. However, therapeutically depleting CAFs has been shown to increase tumour progression and metastasis in some pre-clinical tumour models. Targeted approaches to inhibit CAF activity and decrease fibrosis without abrogating CAFs altogether may improve the effect of existing cancer therapies. We have previously shown that the blood pressure medication telmisartan decreases tumoural collagen, resulting in improved vascular perfusion, decreased hypoxia, and improved radiation treatment efficacy. To understand how telmisartan influences CAF populations in solid tumours, we conducted single cell RNA sequencing analyses of host cells isolated from tumours in mice treated with telmisartan. Telmisartan modified the transcriptomes of CAF populations, promoting the expression of chemokine signaling while decreasing the expression of extracellular matrix components in myCAFs. Telmisartan decreased expression of collagen transcripts in myCAFs and fibrocytes, indicating that telmisartan does not remove myCAFs but changes the myCAF transcriptome to become less fibrillar. Our work provides further support for using telmisartan to manipulate CAF populations in the solid tumour microenvironment to decrease collagen deposition and render tumours more responsive to current cancer therapies.

cancer biology↗

bioRxiv2025

Human resistin is critical to activation of the NLRP3 inflammasome in macrophages

Elevated levels of human resistin (hResistin) have been associated with diverse inflammatory diseases, but the precise mechanisms through which hResistins many inflammatory effects contribute to the progression of these diseases remain poorly understood. NLRP3 inflammasome activation is essential in many of these inflammatory conditions; however, there is an unmet explanation connecting hResistin with the NLRP3 inflammatory pathway. Here we describe a unique role of hResistin and its rodent homolog, resistin-like molecule alpha (RELM) in priming and activating the NLRP3 inflammasome. Through qPCR and western blot analysis, we found that hResistin-dependent expression and secretion of high mobility group box 1 (HMGB1) in human macrophages primes the expression of NLRP3, pro-capsase-1, pro-interleukin(IL)-1{beta}, and pro-IL-18. Co-immunoprecipitation showed that hResistin binds to Brutons tyrosine kinase (BTK), which causes the kinase to autophosphorylate, allowing BTK to phosphorylate NLRP3, leading to its assembly and activation with subsequent cleavage of pro-caspase-1, pro-IL-1{beta}, and pro-IL-18, causing initiation of the inflammasome cascade. The hResistin-dependent activation and secretion of IL-1{beta} and IL-18 was critical to the proliferation of human pulmonary vascular smooth muscle cells. For confirmation in vivo, we studied rodent and human pulmonary hypertension (PH). Chronic hypoxia-induced PH in wild-type and RELM KO mice showed RELM-dependent upregulation of HMGB1, BTK, and NLRP3 in mouse lung and was linked to vascular remodeling pathways. Immunohistochemistry revealed that the majority of NLRP3-expressing cells were macrophages and the colocalization of hResistin, BTK, and NLRP3 in macrophages was increased in PH patients lungs. Our work reveals a novel immune mechanism demonstrating hResistin is essential to the priming and activation of NLRP3. Inhibiting NLRP3 activation by blocking hResistin with a human monoclonal antibody suggests a likely therapeutic pathway for NLRP3-driven inflammatory diseases.

immunology↗

bioRxiv2024

Fate mapping of peripherally derived macrophages reveals a long-lasting engrafted population that maintains a distinct transcriptomic profile for up to 8 months after Traumatic Brain Injury

Traumatic Brain Injury (TBI) is one of the most established environmental risk factors for the development of dementia and long term neurological deficits representing a critical health problem for our society. It is well-established that TBI-induced neuroinflammation contributes to the long-lasting cognitive deficits and engages brain-resident macrophages (microglia) as well as monocytes-derived macrophages (MDMs) recruited from the periphery. While numerous studies have characterized microglia response to TBI, and the critical role of early infiltrated MDMs in the development of cognitive dysfunctions, the fate of MDMs in TBI remains unknown. Microglia and MDMs have distinct embryological origins and it is unclear if MDMs can fully transition to microglia after infiltrating the brain. This gap in knowledge is due to the fact that after brain engraftment, MDMs stop expressing their signature markers, thus making discrimination from resident microglia cells elusive. Here, for the first time, we longitudinally trace the fate of MDMs by taking advantage of two complementary yet distinct fate mapping mouse lines, CCR2-creERT2 and Ms4a3-cre, where inflammatory monocytes are permanently labeled even after in situ reprogramming. We demonstrated that early infiltrated MDMs persist in the brain for up to 8 months after TBI in adult female and male mice. Notably, MDMs retain their phagocytic activity while remaining transcriptomically distinct from microglia, and show a signature associated with aging and disease. Our data significantly advance the understanding of long-lasting MDMs and provide critical knowledge for developing more targeted therapeutic interventions for myeloid cells.

immunology↗

bioRxiv2024

The non-canonical thioreductase TMX2 is essential for neuronal survival during embryonic brain development

Biallelic variants in thioredoxin-related transmembrane 2 protein (TMX2) can cause a brain malformation of cortical development (MCD), characterized by primary microcephaly, polymicrogyria and pachygyria by an unknown mechanism. To better understand and visualize how TMX2 loss disrupts brain development in vivo we investigated the function of TMX2, using the zebrafish embryo as a model system. We generated zebrafish deficient for TMX2 ortholog tmx2b, which during the first 2 days post fertilization (dpf) showed normal behavioral activity and brain developmental hallmarks. From 3 dpf onwards however, tmx2b mutants failed to exhibit locomotor activity, which was accompanied by cell death primarily in the brain, but not in other organs or in the spinal cord. Strikingly, cell death in tmx2b mutants occurs specifically in newborn neurons within a [~]1.5-hour timeframe, whereas neuronal progenitor and other glial cells are preserved, and could be suppressed by inhibiting neuronal activity. In vivo GCaMP6s calcium imaging showed a persistent [~]2-fold increase in calcium in neurons after the onset of cell death. This suggests that calcium homeostasis underlies the tmx2b mutant brain phenotype. Altogether, our results indicate that TMX2 is an evolutionary conserved, protective regulator essential specifically for newborn neurons to survive after their differentiation in the vertebrate embryonic brain.

developmental biology↗

bioRxiv2022

Deep mutational scanning identifies SARS-CoV-2 Nucleocapsid escape mutations of currently available rapid antigen tests

Widespread and frequent testing is critical to prevent the spread of COVID-19, and rapid antigen tests are the diagnostic tool of choice in many settings. With new viral variants continuously emerging and spreading rapidly, the effect of mutations on antigen test performance is a major concern. In response to the spread of variants the National Institutes of Healths Rapid Acceleration of Diagnostics (RADx(R)) initiative created a Variant Task Force to assess the impact of emerging SARS-CoV-2 variants on in vitro diagnostic testing. To evaluate the impact of mutations on rapid antigen tests we developed a lentivirus-mediated mammalian surface-display platform for the SARS-CoV-2 Nucleocapsid protein, the target of the majority of rapid antigen tests. We employed deep mutational scanning (DMS) to directly measure the effect of all possible Nucleocapsid point mutations on antibody binding by 17 diagnostic antibodies used in 11 commercially available antigen tests with FDA emergency use authorization (EUA). The results provide a complete map of the antibodies epitopes and their susceptibility to mutational escape. This approach identifies linear epitopes, conformational epitopes, as well as allosteric escape mutations in any region of the Nucleocapsid protein. All 17 antibodies tested exhibit distinct escape mutation profiles, even among antibodies recognizing the same folded domain. Our data predict no vulnerabilities of rapid antigen tests for detection of mutations found in currently and previously dominant variants of concern and interest. We confirm this using the commercial tests and sequence-confirmed COVID-19 patient samples. The antibody escape mutation profiles generated here serve as a valuable resource for predicting the performance of rapid antigen tests against past, current, as well as any possible future variants of SARS-CoV-2, establishing the direct clinical and public health utility of our system. Further, our mammalian surface-display platform combined with DMS is a generalizable platform for complete mapping of protein-protein interactions.

immunology↗

bioRxiv2021

The repertoire of testicular extracellular vesicles cargoes and their involvement in inter-compartmental communication required for spermatogenesis

Extracellular vesicles (EVs) secreted by the epididymis and prostate are involved in sperm functions and epigenetic inheritance. However, the EVs in the testis remains unexplored. Here, we have established a testis dissociation protocol that allows the isolation of testicular EVs by minimizing the disruption of fragile sperm cells. We showed that testicular EVs were specifically and efficiently uptaken by somatic cells and germ cells in both interstitial space and seminiferous tubules compartments, including the spermatozoa. We profiled the proteome of testicular EVs and probed the cell types that release them. Moreover, we sequenced the small RNAs cargos of testicular EVs and identified sets of small non-coding RNAs that were overlooked in the testis transcriptome. Selected miRNA candidates in testicular EVs were found in sperm RNA payload and demonstrated specific resistance towards ribonuclease A independent of the vesicle membrane. Small molecule inhibition of EVs secretion increased the apoptosis of germ cells via inter-compartmental communication. Together, our study has provided valuable resources on the cargoes of testicular EVs and revealed the inter-compartmental communication that regulates spermatogenesis and may implicate in paternal inheritance.

cell biology↗

bioRxiv2019

Liver-Chip: Reproducing Human and Cross-Species Toxicities

Nonclinical rodent and non-rodent toxicity models used to support clinical trials of candidate drugs may produce discordant results or fail to predict complications in humans contributing to drug failures in the clinic. Here we applied microengineered Organ-on-Chip (Organ-Chip) technology to design rat, dog, and human Liver-Chips containing species-specific primary hepatocytes interfaced with liver sinusoidal endothelial cells, with or without Kupffer cells and hepatic stellate cells, cultured under physiological fluid flow. The Liver-Chips detected diverse phenotypes of liver toxicity including hepatocellular injury, steatosis, cholestasis, and fibrosis as well as species-specific toxicities when treated with tool compounds. Multi-species Liver-Chips may provide a useful platform for prediction of liver toxicity and inform human relevance of liver toxicities detected in animal studies to better determine safety and human risk.\n\nOne Sentence SummaryMicroengineered Organ-Chip technology has been used to design rat, dog and human Liver-Chips that recapitulate species-specific liver toxicities.

pharmacology and toxicology↗

bioRxiv2019

A Clostridia-rich microbiota contributes to increased excretion of bile acids in diarrhea-predominant irritable bowel syndrome

ObjectiveAn excess of fecal bile acids (BAs) is thought to be one of the mechanisms for diarrhea-predominant irritable bowel syndrome (IBS-D). However, the factors causing excessive BA excretion remains unclear. Given the importance of gut microbiota in BA metabolism, we hypothesized that gut dysbiosis might contribute to excessive BA excretion in IBS-D.\n\nDesignMetabolomic and metagenomic analyses were performed of specimens from 290 IBS-D patients and 89 healthy volunteers. By transplanting human microbiota and manipulating specific microbiome species in mice, the effects of microbiota on host BA metabolism were assessed at metabolic, genetic and protein levels. Effects of individual and mixed BAs on enterohepatic feedback pathways were also tested in vitro and in vivo.\n\nResultsTotal fecal BAs were excessively excreted in 24.5% of IBS-D patients. Their fecal metagenomes showed increased abundances of Clostridia and BA-transforming genes (hdhA and bais). The increases of Clostridia bacteria (e.g. C. scindens) were positively associated with the levels of fecal BAs and serum 7-hydroxy-4-cholesten-3-one (C4), while being negatively correlated with serum fibroblast growth factor 19 (FGF19). Both Clostridia-rich human microbiota and C. scindens enhanced levels of serum C4 and hepatic conjugated BAs in mice recipients and reduced ileal FGF19 expression. Inhibition of Clostridium species by vancomycin yielded opposite findings. Clostridia-derived BAs (e.g. conjugated and free ursodeoxycholic acid) significantly suppressed intestinal FGF19 expression.\n\nConclusionThe Clostridia-rich microbiota contributes to excessive BA excretion in IBS-D patients. This study provided the basis for more precise clinical diagnosis and management for IBS-D.

microbiology↗

bioRxiv2018

Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-censored Survival Data

Radiomics is a newly emerging field that involves the extraction of a large number of quantitative features from biomedical images through the use of data-characterization algorithms. Radiomics provides a noninvasive approach for personalized therapy decision by identifying distinctive imaging features for predicting prognosis and therapeutic response. So far, many of the published radiomics studies utilize existing out of the box algorithms to identify the prognostic markers from biomedical images that are not specific to radiomics data. T o better utilize biomedical image, we propose a novel machine learning approach, stability selection supervised principal component analysis (SSSuperPCA) that identify a set of stable features from radiomics big data coupled with dimension reduction for right censored survival outcomes. In this paper, we describe stability selection supervised principal component analysis for radiomics data with right-censored survival outcomes. The proposed approach allows us to identify a set of stable features that are highly associated with the survival outcomes, control the per-family error rate, and predict the survival in a simple yet meaningful manner. We evaluate the performance of SSSuperPCA using simulations and real data sets for non-small cell lung cancer and head and neck cancer, and compare it with other machine learning algorithms. The results demonstrate that our method has a competitive edge over other existing methods in identifying the prognostic markers from biomedical big imaging data for the prediction of right-censored survival outcomes. An R package SSSuperPCA is available at the website: http://web.hku.hk/[~]herbpang/SSSuperPCA.html

bioinformatics↗

bioRxiv2018

The contribution of non-canonical splicing mutations to severe dominant developmental disorders

Mutations which perturb normal pre-mRNA splicing are significant contributors to human disease. We used exome sequencing data from 7,833 probands with developmental disorders (DD) and their unaffected parents, as well as >60,000 aggregated exomes from the Exome Aggregation Consortium, to investigate selection around the splice site, and quantify the contribution of splicing mutations to DDs. Patterns of purifying selection, a deficit of variants in highly constrained genes in healthy subjects and excess de novo mutations in patients highlighted particular positions within and around the consensus splice site of greater functional relevance. Using mutational burden analyses in this large cohort of proband-parent trios, we could estimate in an unbiased manner the relative contributions of mutations at canonical dinucleotides (73%) and flanking non-canonical positions (27%), and calculated the positive predictive value of pathogenicity for different classes of mutations. We identified 18 patients with likely diagnostic de novo mutations in dominant DD-associated genes at non-canonical positions in splice sites. We estimate 35-40% of pathogenic variants in non-canonical splice site positions are missing from public databases.

genetics↗