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Chen, M.-H.

Publications and source records attributed to Chen, M.-H..

16 recordsLinked to original sources

Therapeutic Targeting of the TGFβ Pathway Augments CAR T cell Efficacy in Glioblastoma

Chimeric Antigen Receptor (CAR) T therapy represents a promising approach to improve outcomes for patients with high-grade gliomas (HGG). Recently, we reported on a phase I trial assessing the local delivery of CAR T cells for HGG. Despite notable clinical benefits to CAR T treatment, clinical responses were highly variable between patients. Here we report that TGF{beta} levels in the tumor cavity fluid (TCF) decreased following CAR T treatment and that lower TGF{beta} levels positively correlated with improved patient responses to CAR T therapy. Patients were stratified based on baseline TGF{beta} levels in the TCF before CAR T therapy. Single-cell RNA sequencing of patient tumor tissues identified significant upregulation of genes associated with angiogenesis and epithelial-to-mesenchymal transition, and IL6 and SLRP pathways in TGF{beta} high patients, while IL2, chemokine signaling and NK-mediated cytotoxicity pathways were significantly upregulated in TGF{beta} low patients. Preclinically, we demonstrated that systemic treatment with a TGF{beta}R1 inhibitor markedly improved CAR T efficacy in syngeneic murine glioma models, correlating with changes in the tumor microenvironment (TME) that benefited both endogenous and CAR T cell phenotype and trafficking. Further studies demonstrated that inhibition of the TGF{beta} pathway in CAR T cells, through either TGF{beta}R1 inhibitor or CRISPR/Cas9 knockout of TGF{beta}R2 (TGF{beta}R2-KO), significantly enhanced CAR T cell expansion and antitumor activity. Collectively, our clinical and preclinical findings strongly indicate that targeting the TGF{beta} pathway could significantly enhance CAR T therapy for patients with high-grade gliomas.

cancer biology↗

Genetic dissection of the obesity paradox in carotid atherosclerosis using a hyperlipidemic mouse cohort

BackgroundOverweight and obese individuals often exhibit lower mortality rates or better prognoses than lean or normal-weight individuals with stroke and other diseases, a phenomenon called the "obesity paradox". Carotid atherosclerosis is the primary cause of ischemic stroke, and body weight serves as a reliable surrogate for adiposity in mice. MethodsPhenotypic and genetic connections of carotid atherosclerosis with body weight were evaluated in 299 F2 mice derived from BALB/cJ and LP/J Apoe knockout (Apoe-/-) mice. F2 mice were fed a Western diet for 12 weeks. Atherosclerotic lesion sizes in left carotid arteries, body weight, coat color, plasma lipids, glucose, small dense LDL ApoB, and malondialdehyde were measured, and 11,000 single nucleotide polymorphism (SNP) markers were genotyped. ResultsCarotid lesion sizes inversely correlated with body weight in both sexes. Genome-wide scans identified two significant quantitative trait loci (QTLs) for carotid atherosclerosis on chromosomes (Chr) 6 and 15 in an additive sex model, and five QTLs on Chr 6, 7, 12, 13, and 15 in an interactive sex model. Adjusting for body weight variation downgraded Chr 15 QTL (Cath5) in both models, whereas other QTLs upgraded in the additive sex model and downgraded in the interactive sex model. Human syntenic region of Cath5 associated with carotid intima-medial thickness (cIMT) and waist-to-hip ratio (WHR). ConclusionsThese findings indicate that the obesity paradox in carotid atherosclerosis is partially driven by shared genetic components that exert opposing effects on adiposity and plaque development and act through sex-dependent mechanisms.

genetics↗

Algae-specific Immune Modulation Influences Responses to Heat and Pathogen Challenge in a Symbiotic Coral

The role of symbiotic algae in coral life history and host health is well documented, but the immune and physiological trade-offs of hosting these symbionts remain less explored. While association with the algal symbionts of the genus Durusdinium is known to confer thermotolerance, it has also been linked to coral tissue loss under stress. We investigated whether algal type influences host immunity and stress responses in the tropical coral Pocillopora acuta. Durusdinium-hosting (D-hosting) P. acuta have distinct transcriptomic profiles, higher immune-related gene expression, and elevated baseline levels of immunity transcription factor NF-{kappa}B as compared to corals hosting Cladocopium (C-hosting). Under heat challenge, D-hosting P. acuta exhibited tissue loss, oxidative stress, immune and microbial dysregulation, whereas C-hosting P. acuta were more susceptible to bleaching, metabolic dysregulation, and decline in nitrogen-fixing and antioxidant-producing bacteria. Finally, infection with the the bacterium Vibrio coralliilyticus caused high tissue loss in D-hosting corals, but not in C-hosting corals. Our results suggest a mechanism for how Durusdinium association enhances thermotolerance yet predisposes corals to tissue damage under stress, suggesting immune trade-offs that can compromise host survival under multiple stressors.

genomics↗

Immunometabolic determinants of long-term response in leukemia patients receiving CD19 CAR T cell therapy

Although most patients with relapsed/refractory B-cell acute lymphoblastic leukemia (B-ALL) receiving CD19-targeted chimeric antigen receptor (CAR) T cell therapy achieve remission, loss of CAR T cell functionality and subsequent relapse remains an unmet therapeutic need. We applied an integrative approach to study the immunometabolism of pre- and post-infusion CD19-CAR T cells of patients with relapsed/refractory B-ALL. Pre-infusion CAR T cells of long-term responders (LTR) had increased oxidative phosphorylation, fatty acid oxidation, and pentose phosphate pathway activities, higher mitochondrial mass, tighter cristae, and lower mTOR expression compared to products of short-term responders. Post-infusion CAR T cells in bone marrow (BM) of LTR had high immunometabolic plasticity and mTOR-pS6 expression supported by the BM microenvironment. Transient inhibition of mTOR during manufacture induced metabolic reprogramming and enhanced anti-tumor activity of CAR T cells. Our findings provide insight into immunometabolic determinants of long-term response and suggest a therapeutic strategy to improve long-term remission.

immunology↗

Lineage Tracing Reveals a Shared Cellular Origin for Supraclavicular Brown and Inguinal Beige Adipocytes

The metabolic importance of brown adipose tissue (BAT) has been recognized, but the origins of BAT, particularly supraclavicular BAT (scBAT), are less clear. Here, we traced the origin of scBAT to Mef2c-anterior heart field (AHF)-marked cells. Mef2c-AHF-marked cells isolated from scBAT can spontaneously differentiate into brown adipocytes, express mesenchymal stem cell markers, and can be isolated from the stromal-vascular fraction (SVF) of wild-type scBAT as [CD31-CD45-SCA-1+CD29+CD34-CD24-] (CD34-) cells. Mef2c-AHF-marked cells substantially overlap with Prrx1-marked cells in scBAT, which also contribute to beige adipocytes in inguinal white adipose tissue (iWAT) during development. Similarly, CD34- cells isolated from the SVF of iWAT can spontaneously differentiate into beige adipocytes in vitro. Using intersectional tracing, we revealed that common progenitors of Mef2c-AHF- and Prrx1-marked cells in scBAT emerge from the developing heart. Thus, these studies reveal a common origin for scBAT and cardiac tissue and a close lineage relationship between scBAT and beige adipocytes of the iWAT.

developmental biology↗

The Sequential Multispecies Coalescent

The multispecies coalescent (MSC) model applies coalescent theory to gene evolution within and among reproductively isolated populations ("species") to estimate a species tree in the face of gene tree conflict resulting from deep coalescence. Sequential Monte Carlo (SMC) uses particle filtering to sample a posterior distribution, providing a fully-Bayesian and easily parallelized alternative to traditional MSC tree inference approaches. The method we propose samples first from the joint posterior distribution of gene and species trees, then samples species trees conditional on gene trees sampled previously, employing SMC for both rounds. Analyses of simulated and empirical datasets yield results comparable to state-of-the-art Bayesian MCMC approaches. Sampling the multispecies coalescent using SMC retains the advantages of fully Bayesian methods and is parallelizable in ways that Bayesian MCMC methods are not but also adds unique challenges. We demonstrate the performance of SMC compared to other commonly-used species tree methods using two empirical datasets and 400 simulated datasets.

evolutionary biology↗

Glycerol-3-phosphate activates ChREBP, FGF21 transcription and lipogenesis in Citrin Deficiency

Citrin Deficiency (CD) is caused by inactivation of SLC25A13, a mitochondrial membrane protein required to move electrons from cytosolic NADH to the mitochondrial matrix in hepatocytes. People with CD do not like sweets. We discovered that SLC25A13 loss causes accumulation of glycerol-3-phosphate (G3P), which activates carbohydrate response element binding protein (ChREBP) to transcribe FGF21, which acts in the brain to restrain intake of sweets and alcohol, and to transcribe key genes of de novo lipogenesis. Mouse and human data establish G3P-ChREBP as a new mechanistic component of the Randle Cycle that contributes to metabolic dysfunction-associated steatotic liver disease (MASLD) and forms part of a system that communicates metabolic states from liver to brain in a manner that alters food and alcohol choices. The data provide a framework for understanding FGF21 induction in varied conditions, suggest ways to develop FGF21-inducing drugs, and drug candidates for both lean MASLD and support of urea cycle function in CD.

molecular biology↗

SUBTLE DIFFERENCES IN FINE POLYSACCHARIDE STRUCTURES GOVERN SELECTION AND SUCCESSION OF HUMAN GUT MICROBIOTA

Dietary fibers are fermented in the human gut and are known to modulate microbiome composition and metabolic function, but few studies have explored to what extent the small variations in complex fiber structures impact community assembly, microbial division of labor, and organismal metabolic responses across individuals microbiome structures. To test the hypothesis that subtle linkage variations in chemical structures of polysaccharides afford different ecological niches for distinct communities and metabolism, we employed a 7-day in vitro sequential batch fermentation with fecal inocula from individual donors and measured microbial responses using an integrated multi-omics approach. We fermented two sorghum arabinoxylans (SAXs) as model complex polysaccharides, with fecal microbiota from three donors and an artificially high diversity mix of all three. Although differences in sugar linkage profiles across SAXs were subtle, surprisingly, consortia fermenting different AXs revealed distinct species-level genomic diversity and metabolic outcomes with nearly-identical strains on each polysaccharide across inocula. Carbohydrate active enzyme (CAZyme) genes in metagenomes revealed broad AX-related hydrolytic potentials; however, CAZyme genes enriched in different AX-fermenting consortia were specific to SAX type and displayed various catabolic domain fusions with diverse accessory motifs, suggesting they may be functionally degenerate and this degeneracy may relate to fine substrate structure. These results suggest that fine polysaccharide structure exerts deterministic selection effect for distinct fermenting consortia, which are present amongst unrelated individuals.

microbiology↗

The non-genomic vitamin D pathway links β-amyloid to autophagic apoptosis in Alzheimer's disease

Vitamin D is an important hormonal molecule, which exerts genomic and non-genomic actions in maintaining brain development and adult brain health. Many epidemiological studies have associated vitamin D deficiency with Alzheimers disease (AD). Nevertheless, the underlying signaling pathway through which this occurs remains to be characterized. We were intrigued to find that although vitamin D levels are significantly low in AD patients, their hippocampal vitamin D receptor (VDR) levels are inversely increased in the cytosol of the brain cells, and colocalized with A{beta}42 plaques, gliosis and autophagosomes, suggesting that a non-genomic form of VDR is implicated in AD. Mechanistically, A{beta}42 induces the conversion of nuclear heterodimer of VDR/RXR heterodimer into a cytoplasmic VDR/p53 heterodimer. The cytosolic VDR/p53 complex mediates the A{beta}42-induced autophagic apoptosis. Reduction of p53 activity in AD mice reverses the VDR/RXR formation and rescues AD brain pathologies and cognitive impairment. In line with the impaired genomic VDR pathway, the transgenic AD mice fed a vitamin D sufficient diet exhibit lower plasma vitamin D levels since early disease phases, raising the possibility that vitamin D deficiency may actually be an early manifestation of AD. Despite the deficiency of vitamin D in AD mice, vitamin D supplementation not only has no benefit but lead to exacerbated A{beta}42 depositions and cognitive impairment. Together, these data indicate that the impaired genomic vitamin D pathway links A{beta}42 to induce autophagic apoptosis, and suggest that VDR/p53 pathway could be targeted for the treatment of AD. Significance StatementVitamin D exerts a genomic action for neuroprotection through VDR/RXR transcriptional complex. Thus, insufficient vitamin D has been linked to AD, but the signaling pathway involved remains unclear. Surprisingly, we find that the genomic action of VDR/RXR to be compromised and converted into a non-genomic VDR/p53 complex in promoting AD neurodegeneration. The cytosolic VDR/p53 complex contribute to autophagy-induced neuronal apoptosis. The VDR/RXR pathway can be a new therapeutic target for AD because targeting VDR/p53 ameliorates AD. Importantly, we provide evidence that vitamin D deficiency might be an early AD manifestation, and vitamin D supplementation exacerbates AD. This work uncovers a non-genomic VDR action in promoting AD and suggests a potential aggravating effect of vitamin D supplementation on AD.

neuroscience↗

Fine carbohydrate structure governs the structure and function of human gut microbiota independently of variation in glycosyl residue composition

Increased dietary fiber consumption has been shown to increase human gut microbial diversity, but the mechanisms driving this effect remain unclear. One possible explanation is that microbes are able to divide metabolic labor in consumption of complex carbohydrates, which are composed of diverse glycosidic linkages that require specific cognate enzymes for degradation. However, as naturally derived fibers vary in both sugar composition and linkage structure, it is challenging to separate out the impact of each of these variables. We hypothesized that fine differences in carbohydrate linkage structure would govern microbial community structure and function independently of variation in glycosyl residue composition. To test this hypothesis, we fermented commercially available soluble resistant glucans, which are uniformly composed of glucose linked in different structural arrangements, in vitro with fecal inocula from each of three individuals. We measured metabolic outputs (pH, gas, and short-chain fatty acid production) and community structure via 16S rRNA amplicon sequencing. We determined that community metabolic outputs from identical glucans were highly individual, emerging from divergent initial microbiome structures. However, specific operational taxonomic units responded similarly in growth responses across individuals microbiota, though in context-dependent ways; these data suggested that certain taxa were more efficient in competing for some structures than others. Together, these data support the hypothesis that variation in linkage structure, independent of sugar composition, governs compositional and functional responses of microbiota. ImportancePrevious studies have reported how physical and chemical structures of carbohydrates influence the gut microbiota, however, variability across dietary fibers in monosaccharide composition and linkage structure obscures the relationship between fine polysaccharide linkage structure and microbial fitness. Revealing connections between subtle differences in glucan structure and microbial composition and metabolic responses, this study suggests much greater attention to substrate structure in the design of experiments to test fiber-microbiome responses in vitro and in vivo. Further, it underscores that, although microbiome responses to distinct fibers are individual and vary among specific glucans, similar carbohydrate structure-microbe relationships occur across individual donor communities. Together, these data may help explain why some individuals may respond (while others do not) to fiber treatments in human feeding trials and support the long-term goal of rational inclusion of specific fibers in dietary patterns to modulate the gut microbiome in support of health.

microbiology↗

A system for phenotype harmonization in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program

Genotype-phenotype association studies often combine phenotype data from multiple studies to increase power. Harmonization of the data usually requires substantial effort due to heterogeneity in phenotype definitions, study design, data collection procedures, and data set organization. Here we describe a centralized system for phenotype harmonization that includes input from phenotype domain and study experts, quality control, documentation, reproducible results, and data sharing mechanisms. This system was developed for the National Heart, Lung and Blood Institutes Trans-Omics for Precision Medicine (TOPMed) program, which is generating genomic and other omics data for >80 studies with extensive phenotype data. To date, 63 phenotypes have been harmonized across thousands of participants from up to 17 TOPMed studies per phenotype. We discuss the challenges faced in this undertaking and how they were addressed. The harmonized phenotype data and associated documentation have been submitted to National Institutes of Health data repositories for controlled-access by the scientific community. We also provide materials to facilitate future harmonization efforts by the community, which include (1) the code used to generate the 63 harmonized phenotypes, enabling others to reproduce, modify or extend these harmonizations to additional studies; and (2) results of labeling thousands of phenotype variables with controlled vocabulary terms.

genetics↗

Carbohydrate complexity structures stable diversity in gut-derived microbial consortia under high dilution pressure

Dietary fibers are major substrates for the colonic microbiota, but the structural specificity of these fibers for the diversity, structure, and function of gut microbial communities are poorly understood. Here, we employed an in vitro sequential batch fecal culture approach to determine: 1) whether the chemical complexity of a carbohydrate structure influences its ability to maintain microbial diversity in the face of high dilution pressure and 2) whether substrate structuring or obligate microbe-microbe metabolic interactions (e.g. exchange of amino acids or vitamins) exert more influence on maintained diversity. Sorghum arabinoxylan (SAX, complex polysaccharide), inulin (low-complexity oligosaccharide) and their corresponding monosaccharide controls were selected as model carbohydrates. Our results demonstrate that complex carbohydrates stably sustain diverse microbial consortia. Further, very similar final consortia were enriched on SAX from the same individuals fecal microbiota across a one-month interval, suggesting that polysaccharide structure is more influential than stochastic alterations in microbiome composition in governing the outcomes of sequential batch cultivation experiments. SAX-consuming consortia were anchored by Bacteroides ovatus and retained diverse consortia of >12 OTUs; whereas final inulin-consuming consortia were dominated either by Klebsiella pneumoniae or Bifidobacterium sp. and Escherichia coli. Furthermore, auxotrophic interactions were less influential in structuring microbial consortia consuming SAX than the less-complex inulin. These data suggest that carbohydrate structural complexity affords independent niches that structure fermenting microbial consortia, whereas other metabolic interactions govern the composition of communities fermenting simpler carbohydrates. IMPORTANCEThe mechanisms by which gut microorganisms compete for and cooperate on human-indigestible carbohydrates of varying structural complexity remain unclear. Gaps in this understanding make it challenging to predict the effect of a particular dietary fibers structure on the diversity, composition, or function of gut microbiomes, especially with inter-individual variability in diets and microbiomes. Here, we demonstrate that carbohydrate structure governs the diversity of gut microbiota under high dilution pressure, suggesting that such structures may support microbial diversity in vivo. Further, we also demonstrate that carbohydrate polymers are not equivalent in the strength by which they influence community structure and function, and that metabolic interactions among members arising due to auxotrophy exert significant influence on the outcomes of these competitions for simpler polymers. Collectively, these data suggest that large, complex dietary fiber polysaccharides structure the human gut ecosystem in ways that smaller and simpler ones may not.

microbiology↗

Trans-ethnic and ancestry-specific blood-cell genetics in 746,667 individuals from 5 global populations

SUMMARYMost loci identified by GWAS have been found in populations of European ancestry (EA). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EA individuals, we identified 5,552 trait-variant associations at P<5x10-9, including 71 novel loci not found in EA populations. We also identified novel ancestry-specific variants not found in EA, including an IL7 missense variant in South Asians associated with lymphocyte count in vivo and IL7 secretion levels in vitro. Fine-mapping prioritized variants annotated as functional, and generated 95% credible sets that were 30% smaller when using the trans-ethnic as opposed to the EA-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations, and compared genetic architecture and the impact of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.

genetics↗

Integrative Genomic Analysis and Functional Studies Reveal GP5, GRN, MPO and MCAM as Causal Protein Biomarkers for Platelet Traits

RationaleMean platelet volume (MPV) and platelet count (PLT) are platelet measures that have been linked to cardiovascular disease (CVD) and mortality risk. Identifying protein biomarkers for these measures may yield insights into CVD mechanisms. ObjectiveWe aimed to identify causal protein biomarkers for MPV and PLT among 71 CVD-related plasma proteins measured in Framingham Heart Study (FHS) participants. Methods and ResultsWe conducted integrative analyses of genetic variants associated with PLT and MPV with protein quantitative trait locus (pQTL) variants associated with plasma proteins followed by Mendelian randomization (MR) to infer causal relations of proteins for PLT/MPV, and tested protein-PLT/MPV association in FHS participants. Utilizing induced pluripotent stem cell (iPSC)-derived megakaryocyte (MK) clones that produce functional platelets, we conducted RNA-sequencing and analyzed transcriptome-wide differences between low- and high-platelet producing clones. We then performed small interfering RNA (siRNA) gene knockdown experiments targeting genes encoding proteins with putatively causal platelet effects in MK clones to examine effects on platelet production. Protein-trait association analyses were conducted for MPV (n = 4,348) and PLT (n = 4,272). Eleven proteins were associated with MPV and 31 with PLT. MR identified four putatively causal proteins for MPV and four for PLT. Glycoprotein V (GP5), granulin (GRN), and melanoma cell adhesion molecule (MCAM) were associated with PLT in both protein-trait and MR analyses. Myeloperoxidase (MPO) showed significant association with MPV in both analyses. MK RNA-sequencing analysis results were directionally concordant with observed and MR-inferred associations for GP5, GRN, and MCAM. In siRNA gene knockdown experiments, silencing GP5, GRN, and MPO decreased platelet counts. ConclusionsBy integrating population genomics data, epidemiological data, and iPSC-derived MK experiments, we identified four proteins that are causally linked to platelet counts. These proteins and genes may be further explored for their utility in increasing platelet production in bioreactors for transfusion medicine purposes as well as their roles in the pathogenesis of CVD via a platelet/blood coagulation-based mechanism.

genomics↗

Genome Sequencing Unveils a New Regulatory Landscape of Platelet Reactivity

Exaggerated platelet aggregation at the site of vascular injury is the underlying pathophysiology of thrombotic diseases. Here, we conduct the largest whole genome sequencing (WGS) effort to uncover the genetic determinants of platelet aggregation. Leveraging 3,855 NHLBI Trans-Omics for Precision Medicine (TOPMed) individuals deeply phenotyped for platelet aggregation, we identify 18 loci using single-variant approaches. This includes the novel RGS18 locus encoding a myeloerythroid lineage-specific regulator of G-protein signaling that co-localizes with eQTL signatures for RGS18 expression in platelets. A gene-based approach focusing on deleterious coding variants identifies the SVEP1 gene, previously shown to be associated with coronary artery disease, as a novel determinant of platelet aggregation. Finally, in an integrative approach leveraging epigenetic data on megakaryocytes, we find strong association between rare variants mapping to a super enhancer region for PEAR1. This is a novel finding implicating the importance of rare variants with regulatory potential in a previously documented GWAS-identified locus.

genomics↗

Assessing Combinability of Phylogenomic Data using Bayes Factors

With the rapid reduction in sequencing costs of high-throughput genomic data, it has become commonplace to use hundreds of genes/sites to infer phylogeny of any study system. While sampling large number of genes has given us a tremendous opportunity to uncover previously unknown relationships and improve phylogenetic resolution, it also presents us with new challenges when the phylogenetic signal is confused by differences in the evolutionary histories of sampled genes. Given the addition of accurate marginal likelihood estimation methods into popular Bayesian software programs, it is natural to consider using the Bayes Factor (BF) to compare different partition models in which genes within any given partition subset share both tree topology and edge lengths. We explore using marginal likelihood to assess data subset combinability when data subsets have varying levels of phylogenetic discordance due to deep coalescence events among genes (simulated within a species tree), and compare the results with our recently-described phylogenetic informational dissonance index (D) estimated for each data set. BF effectively detects phylogenetic incongruence, and provides a way to assess the statistical significance of D values. We discuss methods for calibrating BFs, and use calibrated BFs to assess data combinability using an empirical data set comprising 56 plastid genes from green algae order Volvocales.

evolutionary biology↗