Biology subjects

Xian, M.

Publications and source records attributed to Xian, M..

5 recordsLinked to original sources

bioRxiv2024

Reduced Hydrogen Sulfide Bioavailability Contributes to Cardiometabolic Heart Failure with Preserved Ejection Fraction

BackgroundHeart failure with preserved ejection fraction (HFpEF) is a significant public health concern with limited treatment options. Dysregulated nitric oxide-mediated signaling has been implicated in HFpEF pathophysiology, however, little is known about the role of endogenous hydrogen sulfide (H2S) in HFpEF. ObjectivesThis study evaluated H2S bioavailability in patients and two animal models of cardiometabolic HFpEF and assessed the impact of H2S on HFpEF severity through alterations in endogenous H2S production and pharmacological supplementation. We also evaluated the effects of the H2S donor, diallyl trisulfide (DATS) in combination with the GLP-1/glucagon receptor agonist, survodutide, in HFpEF. MethodsHFpEF patients and two rodent models of HFpEF ("two-hit" L-NAME + HFD mouse and ZSF1 obese rat) were evaluated for H2S bioavailability. Two cohorts of two-hit mice were investigated for changes in HFpEF pathophysiology: (1) endothelial cell cystathionine-{gamma}-lyase (EC-CSE) knockout; (2) H2S donor, JK-1, supplementation. DATS and survodutide combination therapy was tested in ZSF1 obese rats. ResultsH2S levels were significantly reduced (i.e., 81%) in human HFpEF patients and in both preclinical HFpEF models. This depletion was associated with reduced CSE expression and activity, and increased SQR expression. Genetic knockout of H2S -generating enzyme, CSE, worsened HFpEF characteristics, including elevated E/e ratio and LVEDP, impaired aortic vasorelaxation and increased mortality. Pharmacologic H2S supplementation restored H2S bioavailability, improved diastolic function and attenuated cardiac fibrosis corroborating an improved HFpEF phenotype. DATS synergized with survodutide to attenuate obesity, improve diastolic function, exercise capacity, and reduce oxidative stress and cardiac fibrosis. ConclusionsH2S deficiency is evident in HFpEF patients and conserved across multiple preclinical HFpEF models. Increasing H2S bioavailability improved cardiovascular function, while knockout of endogenous H2S production exacerbated HFpEF pathology and mortality. These results suggest H2S dysregulation contributes to HFpEF and increasing H2S bioavailability may represent a novel therapeutic strategy for HFpEF. Furthermore, our data demonstrate that combining H2S supplementation with GLP-1/glucagon receptor agonist may provide synergistic benefits in improving HFpEF outcomes. HighlightsO_LIH2S deficiency is evident in both human HFpEF patients and two clinically relevant models. C_LIO_LIReduced H2S production by CSE and increased metabolism by SQR impair H2S bioavailability in HFpEF. C_LIO_LIPharmacological H2S supplementation improves diastolic function and reduces cardiac fibrosis in HFpEF models. C_LIO_LITargeting H2S dysregulation presents a novel therapeutic strategy for managing HFpEF. C_LIO_LIH2S synergizes with GLP-1/glucagon agonist and ameliorates HFpEF C_LI

pharmacology and toxicology↗

bioRxiv2023

Ferroptosis induced by phenolic compound-iron complex

Phenolic compounds are the most ubiquitously distributed pollutants, and are highly toxic to living organisms, however the detailed mechanism how phenols exert toxic effects remains elusive. Here,Escherichia coli and phloroglucinol are adapted as proxy to elucidate the molecular mechanism of phenols toxicity. We demonstrated that phloroglucinol complexed with iron and promoted the generation of hydroxyl radicals in Fenton reaction, leading to reducing power depletion and lipid peroxidation, and further leading to ferroptosis-like cell death ofE. coli. This ferroptotic death can be triggered by various phenols in diverse organisms, from bacteria to mammalian cells. Furthermore, we demonstrated that phloroglucinol-induced ferroptosis suppressed tumor growth in mice effectively, indicating phloroglucinol as promising drug for therapy-resistant cancers. Its also discovered that repression of this ferroptosis-like cell death benefited microbial degradation or production of desired phenolic compounds, showing great application potential in biotechnology field.

microbiology↗

bioRxiv2023

Remodeling the central metabolism of Escherichia coli enables a universal chassis

E. coli is the host of choice to produce a wide variety of chemicals and proteins. Overflow metabolism is considered as the widespread and major obstacle in microbial synthesis, and overcoming this common bottleneck may enable a universal chassis. Here, we constructed an E. coli universal chassis (ABKS strain) with significantly suppressed overflow metabolism, presenting similar growth rate, decreased glucose consumption, and increased production of desired chemicals and proteins when compared with wild-type BL21(DE3) strain. Furthermore, we demonstrated that metabolic flux of ABKS strain was reprogrammed from TCA cycle to glyoxylate bypass at isocitrate node via the synergistic effect of multi-layer regulation in gene transcription and protein modification. This metabolic reconfiguration alleviates overflow metabolism, avoids CO2 release in TCA cycle, finally improving the carbon atom economy in bioprocess. Our chassis has widespread and practical use for elevating the production and yield of multiple desired chemicals and proteins from different carbon source. The metabolic reconfiguration also provides theoretical basis for rational design of efficient bioproduction strains.

bioengineering↗

bioRxiv2020

Distribution of Epsilon-Polylysine Synthetases in Coryneform Bacteria Isolated from Cheese and Human Skin

Epsilon-polylysine ({varepsilon}-PL) is an antimicrobial commercially produced by Streptomyces fermentation and widely used in Asian countries for food preservation. Here we discovered a gene from cheese bacterium Corynebacterium variabile that showed high similarity to the {varepsilon}-PL synthetase from Streptomyces in terms of enzymatic domain architecture and gene context. By cloning it into Streptomyces coelicolor with a Streptomyces albulus {varepsilon}-PL synthetase promoter, we confirmed that its product is indeed {varepsilon}-PL. A comprehensive sequence analysis suggests that {varepsilon}-PL synthetases are widely spread among coryneform bacteria isolated from cheese and human skin; 14 out of 15 Brevibacterium isolates and 10 out of 12 Corynebacterium isolates contain Pls gene. This discovery raises the possibility that {varepsilon}-PL as a bioactive secondary metabolite might be produced and play a role in the cheese and skin ecosystems. IMPORTANCEEvery year, microbial contamination causes billions of tons of food wasted and millions of cases of foodborne illness. {varepsilon}-PL is an excellent food preservative as it is potent, wide spectrum and is heat stable and biodegradable. It has not been accepted by all countries (e.g those in the EU) partially because it was not a natural composition of food but rather originated from the soil bacteria Streptomyces, a famous producer of various antibiotic drugs and toxins. The unexpected finding of {varepsilon}-PL synthetases in cheese and skin bacteria suggests that {varepsilon}-PL may naturally exist in cheese and on our skin.

microbiology↗

bioRxiv2018

Imputation of single-cell gene expression with an autoencoder neural network

BackgroundSingle-cell RNA-sequencing (scRNA-seq) is a rapidly evolving technology that enables measurement of gene expression levels at an unprecedented resolution. Despite the explosive growth in the number of cells that can be assayed by a single experiment, scRNA-seq still has several limitations, including high rates of dropouts, which result in a large number of genes having zero read count in the scRNA-seq data, and complicate downstream analyses.\n\nMethodsTo overcome this problem, we treat zeros as missing values and develop nonparametric deep learning methods for imputation. Specifically, our LATE (Learning with AuToEncoder) method trains an autoencoder with random initial values of the parameters, whereas our TRANSLATE (TRANSfer learning with LATE) method further allows for the use of a reference gene expression data set to provide LATE with an initial set of parameter estimates.\n\nResultsOn both simulated and real data, LATE and TRANSLATE outperform existing scRNA-seq imputation methods, achieving lower mean squared error in most cases, recovering nonlinear gene-gene relationships, and better separating cell types. They are also highly scalable and can efficiently process over 1 million cells in just a few hours on a GPU.\n\nConclusionsWe demonstrate that our nonparametric approach to imputation based on autoencoders is powerful and highly efficient.

bioinformatics↗