Evaluation of the shear stability of aerobic granular sludge from a pilot-scale membrane bioreactor: Establishment of a quantitative method.

This work established a quantitative method to access the shear stability of aerobic granular sludge (AGS) and validated its feasibility by using the mature AGS from a pilot-scale (50 tons/day) membrane bioreactor (MBR) for treating real municipal wastewater. The results showed that the changing rate (ΔS) of the peak area (S) of granule size distribution (GSD) exhibited an exponential relationship (R2≥0.76) with the shear time (y=a-b·cx), which was a suitable indicative index to reflect the shear stability of different AGS samples. The limiting granule size (LGS) was defined and proposed to characterize the equilibrium size for AGS after being sheared for a period of time, whose value in terms of Dv50 showed high correlation (R2=0.92) with the parameter a. The free Ca2+ (28.44-34.21 mg/L) in the influent specifically interacted with polysaccharides (PS) in the granule's extracellular polymeric substance (EPS) as a nucleation site, thereby inducing the formation of Ca precipitation to enhance its Young's modulus, while Ca2+ primarily interacted with PS in soluble metabolic product (SMP) during the initial granulation process. Furthermore, the Young's modulus significantly affected the parameter a related to shear stability (R2=0.99). Since the parameter a was more closely related (R2=1.00) to ΔS than that of the parameter b or c, the excellent correlation (R2=0.99) between the parameter a and the wet density further verified the feasibility of this method.

Automatic characterization of capillary flow profile of liquid samples on µTADs based on capacitance measurement.

Capillary flow profile of liquid samples in porous media is closely related to the important properties of liquid samples, including the viscosity and the surface energy. Therefore, capillary flow profile can be used as an index to differentiate liquid samples with different properties. Fast and automatic characterization of capillary flow profile of liquid samples is necessary. In this work, we develop a portable and economical capacitance acquisition system (CASY) to easily obtain the capillary flow profile of liquid samples on microfluidic thread-based analytical devices (µTADs) by measuring the capacitance during the capillary flow. At first, we validate the accuracy of this method by comparing with the traditional method by video analysis in obtaining the capillary flow profiles in µTADs of cotton threads or glass fiber threads. Then we use it to differentiate liquid samples with different viscosity (mixture of water and glycerol). In addition, capillary flow profile on µTADs with chemical valves (chitosan or sucrose) can also be obtained on this device. Lastly, we show the potential of this device in measurement of hematocrit (HCT) of whole blood samples. This device can be used to catalog liquid biological samples with different properties in point-of-care diagnostics in the near future.

Chitin/Chitosan Nanofibers Toward a Sustainable Future: From Hierarchical Structural Regulation to Functionalization Applications.

Owing to its multiple fascinating properties of renewability, biodegradability, biocompatibility, and antibacterial activity, chitin is expected to become a green cornerstone of next-generation functional materials. Chitin nanofibers, as building blocks, form multiscale hierarchical structures spanning nano- and macrolevels in living organisms, which pave the way for sophisticated functions. Therefore, from a biomimetic perspective, exploiting chitin nanofibers for use in multifunctional, high-performance materials is a promising approach. Here, we first summarize the latest advances in the multiscale hierarchical structure assembly mode of chitin and its derivative nanofibers, including top-down exfoliation and bottom-up synthesis. Subsequently, we emphasize the environmental impacts of these methods, which are crucial for whether chitin nanofibers can truly contribute to a more eco-friendly era. Furthermore, the latest progress of chitin nanofibers in environmental and medical applications is also discussed. Finally, the potential challenges and tailored solutions of chitin nanofibers are further proposed, covering raw material, structure, function, manufacturing, policies, etc.

MFSD7C protects hemolysis-induced lung impairments by inhibiting ferroptosis.

Hemolysis drives susceptibility to lung injury and predicts poor outcomes in diseases, such as malaria and sickle cell disease (SCD). However, the underlying pathological mechanism remains elusive. Here, we report that major facilitator superfamily domain containing 7 C (MFSD7C) protects the lung from hemolytic-induced damage by preventing ferroptosis. Mechanistically, MFSD7C deficiency in HuLEC-5A cells leads to mitochondrial dysfunction, lipid remodeling and dysregulation of ACSL4 and GPX4, thereby enhancing lipid peroxidation and promoting ferroptosis. Furthermore, systemic administration of MFSD7C mRNA-loaded nanoparticles effectively prevents lung injury in hemolytic mice, such as HbSS-Townes mice and PHZ-challenged 7 C-/- mice. These findings present the detailed link between hemolytic complications and ferroptosis, providing potential therapeutic targets for patients with hemolytic disorders.

Physiological Metabolic Analysis of VB12 Accumulation in Ensifer adhaerens Casida A Enhanced by Oxygen Limitation.

Cobalamin (VB12) is in enormous demand across the fields of medicine, food, and feed additives. However, the oxygen supply plays a critical role in VB12 biosynthesis by Ensifer adhaerens Casida A and has been identified as a bottleneck for economical substrate consumption. This study elucidates the relationship between oxygen limitation and VB12 accumulation with transcriptomic and metabolomic analyses. Under oxygen limitation, E. adhaerens enhances oxygen transport and storage by increasing expression of flavin hemoglobin (Hmp), which was up-regulated 6-fold at 24 h of oxygen restriction compared to the oxygen restriction of 4 h (p < 0.01). Because of the cofactor of Hmp is heme, the demand for heme increases, leading to the upregulation of genes in the heme biosynthesis pathway. Similarly, genes involved in biosynthesis of its precursor, 5-ALA, were upregulated as well. 5-ALA is also a direct precursor of VB12, further leading to the upregulation of genes in the VB12 biosynthesis pathway. This process initiates biosynthesis and accumulation of VB12. As VB12 and heme biosynthesis progresses, genes associated with the biosynthesis and transportation pathways of compounds related to their biosynthesis were likewise upregulated, including genes involved in S-adenosyl methionine (SAM) biosynthesis, and the transport of Fe2+ and Co2+. Additionally, amino acids and organic acids associated with biosynthesis were also extensively consumed, such as methionine, which is used for synthesizing SAM, decreased by 310% after 24 h of oxygen limitation compared to 20% dissolved oxygen (p < 0.05). At the same time, genes related to growth-associated metabolic pathways, such as pentose phosphate pathway (PPP), were significantly downregulated. Therefore, the potential mechanism by which E. adhaerens accumulates VB12 under oxygen-limited conditions by enhancing Hmp expression, which facilitates the porphyrin metabolic pathway and promotes VB12 biosynthesis. This research provides valuable insights for increasing VB12 production through metabolic engineering and process optimization.

RUNX1-MUC13 Interaction Activates Wnt/ß-Catenin Signaling Implications for Colorectal Cancer Metastasis.

Background: Colorectal cancer (CRC) remains a significant global health challenge, often characterized by late-stage metastasis and poor prognosis. The Runt-related transcription factor 1 (RUNX1) plays a dual role as both an oncogene and a tumor suppressor in various cancers, including CRC. However, the specific regulatory mechanisms of RUNX1 in CRC, particularly its direct roles, are not fully understood. Objective: This study aimed to investigate the role of RUNX1 in CRC progression and its interaction with Mucin 13 (MUC13) as a potential regulatory target. Methods: RUNX1 expression was analyzed in CRC tissues and cell lines compared to controls. In vitro and in vivo assays were conducted to assess the effects of RUNX1 overexpression and knockdown on cell behavior. ChIP-seq and RNA-seq analyses were performed to identify RUNX1 targets, with a focus on MUC13. Results: RUNX1 expression was significantly upregulated in CRC tissues and cells, correlating with advanced pathological characteristics and poor patient outcomes. RUNX1 overexpression enhanced CRC cell proliferation, migration, invasion, and G2/M phase arrest, while its knockdown had the opposite effects. MUC13 was identified as a direct transcriptional target of RUNX1, with its expression contributing to the activation of the Wnt/ß-catenin signaling pathway. Disruption of MUC13 partially reversed the malignant phenotypes induced by RUNX1. Conclusion: RUNX1 promotes CRC progression by upregulating MUC13 and activating the Wnt/ß-catenin pathway. This RUNX1-MUC13 axis represents a potential therapeutic target for managing CRC.

Network pharmacology and experimental verification: Unraveling Zhiwei Fuwei Pills's role and mechanism in angiogenesis of precancerous lesions of gastric cancer.

OBJECTIVE: Precancerous lesions of gastric cancer (PLGC) are key pathological stages in the transformation of gastric "inflammation-cancer", and timely and effective intervention at this stage is of great importance in the prevention and treatment of gastric cancer. Zhiwei Fuwei Pills (ZWFW), as a traditional Chinese medicine formulation, has been proven to have good clinical efficacy in the treatment of PLGC, but its specific mechanism of action has not been fully explained. Thus, this study validated the efficacy and explored the potential mechanisms of ZWFW in treating PLGC by integrating network pharmacology analyses and experimental verification. METHODS: The TCMSP database was used to obtain the active ingredients of ZWFW and their corresponding targets, and the GeneCards database was used to retrieve PLGC-related targets. The intersecting targets between ZWFW and PLGC were obtained through mapping, and protein-protein interaction (PPI) networks and "drug-active ingredient-target" networks were constructed by using Cytoscape software. The DAVID database was used for GO functional enrichment analysis and KEGG pathway enrichment analysis. AutoDockTools software was used for molecular docking of key active ingredients and key targets. In order to verify the analysis results of network pharmacology, TEM and H&E were used to observe the effects of different dosage groups of ZWFW on gastric mucosal microvasculature in PLGC rats. Subsequently, the ELISA, IF, IHC, RT-PCR and western blot were used to detected the expression levels of relevant targets in the tissues, so as to verify the potential mechanism of ZWFW in intervening PLGC. RESULTS: After the screening, 258 effective active ingredients and 325 targets were obtained, and 1294 disease-related targets were determined, resulting in 139 intersection targets through mapping. The KEGG enrichment results showed that PI3K/Akt and HIF-1 signaling pathway might play important roles in the treatment mechanism of PLGC. The molecular docking results showed that active ingredients of ZWFW all had a strong affinity and stable structure with key targets, including AKT1 and VEGF. In vivo experiments confirmed that ZWFW could improve gastric mucosal microvascular abnormalities in PLGC, effectively intervene in gastric mucosal pathological grading. Meanwhile, compared with the model group, this formulation could reduce the expression levels of PI3K, Akt, mTOR, HIF-1α, and VEGF in gastric mucosa, showing a dose-effect relationship. CONCLUSION: ZWFW can intervene in the neovascularization and pathological evolution of PLGC, and this mechanism of action may be achieved by inhibiting abnormal activation of the PI3K/Akt/mTOR/HIF-1α/VEGF signaling pathway.

PILRB potentiates the PI3K/AKT signaling pathway and reprograms cholesterol metabolism to drive gastric tumorigenesis and metastasis.

Paired immunoglobin-like type 2 receptor beta (PILRB) mainly plays a crucial role in regulating innate immunity, but whether PILRB is involved in cancer is poorly understood. Here, we report that PILRB potentiates the PI3K/AKT pathway to drive gastric tumorigenesis by binding and stabilizing IRS4, which could hyperactivate the PI3K/AKT pathway. Firstly, the levels of PILRB are upregulated in human gastric cancer (GC) specimens and associated with poor prognosis in patients with GC. In addition, our data show that PILRB promotes cell proliferation, colony formation, cell migration and invasion in GC cells in vitro and in vivo. Mechanistically, PILRB recruits the deubiquitination enzymes OTUB1 to IRS4 and relieves K48-linked ubiquitination of IRS4, protecting IRS4 protein from proteasomal-mediated degradation and subsequent activation of the PI3K/AKT pathway. Importantly, the levels of PILRB are positively correlated with IRS4 in GC specimens. Meanwhile, we also found that PILRB reprogrammed cholesterol metabolism by altering ABCA1 and SCARB1 expression levels, and PILRB-expression confers GC cell resistance to statin treatment. Taken together, our findings illustrate that the oncogenic role of PILRB in gastric tumorigenesis, providing new insights into the regulation of PI3K/AKT signaling in GC and establishing PILRB as a biomarker for simvastatin therapy resistance in GC.

Genome-wide identification of hormone biosynthetic and metabolism genes in the 2OGD family of tobacco and JOX genes silencing enhances drought tolerance in plants.

Phytohormones play crucial roles in regulation of plant growth and tolerance to abiotic stresses. The 2-oxoglutarate-dependent dioxygenase (2OGD) superfamily responds to hormone biosynthesis and metabolism in plants. However, the Nt2OGD family in tobacco has not been fully explored. In this study, we identify 126 members of the Nt2OGD family, and 60 of them are involved in hormone biosynthesis and metabolism process (Nt2OGD-Hs), including 1-aminocyclopropane-1-carboxylic acid oxidases (ACO), dioxygenases for auxin oxidation (DAO), gibberellin (GA) 20-oxidases and 3-oxidases (GA20ox and GA3ox), carbon-19 and carbon-20 GA 2-oxidases (C19-GA2ox and C20-GA2ox), lateral branching oxidoreductases (LBO), jasmonate-induced oxygenases (JOX), downy mildew resistant 6, and DMR6-like oxygenases (DMR6/DLO). Gene duplication analysis suggests the segmental duplication and whole genome duplication (WGD) might be a potential mechanism for the expansion of this family. Expression analysis reveals that most of Nt2OGD-Hs show tissue-specific expression patterns, and some of them respond to environmental conditions. Of Nt2OGD-Hs, the expression of NtJOX3 and NtJOX5, which are involved in JA metabolism, exhibits remarkable changes during drought treatments. Silencing of NtJOX3 or NtJOX5 increases tobacco tolerance to drought stress. Furthermore, knocking out OsJOX3 and OsJOX4, respectively in rice, result in high tolerance to drought. Taken together, our work comprehensively identifies the Nt2OGD family in tobacco and provides new insights into roles of the JA pathway in drought tolerance in plants.

Sex Differences in Inflammation-Related Biomarkers Detected with OCT in Patients with Diabetic Macular Edema.

Purpose: To investigate sex-based differences in inflammation-related biomarkers on spectral-domain OCT. Design: Cross-sectional study. Participants: Patients with diabetic macular edema (DME) between February 1, 2019, and March 31, 2023, without intravitreal anti-VEGF injection within the previous 6 months. Methods: We reviewed each patient's medical record for age, biological sex, race and ethnicity, most recent glycated hemoglobin A1c (HbA1c) level, visual acuity (VA), and central macular thickness (CMT). OCT biomarkers that have been found in literature to be associated with inflammation, including disorganization of retinal inner layers (DRIL), retinal hyperreflective retinal foci (HRFs), hyperreflective choroidal foci (HCFs), subfoveal neuroretinal detachment (SND), and perturbation in retinal nerve fiber layer thickness, ganglion cell layer thickness, and inner nuclear layer (INL) thickness were evaluated by graders masked to the clinical characteristics of the patients. We performed multivariable regression analyses with the OCT biomarkers as the outcome variables and sex, age, HbA1c, and CMT as independent variables. Main Outcome Measures: OCT inflammation-related biomarkers, as listed above. Results: Female patients were, on average, 2 years older than male patients (P = 0.041). There were no significant differences in race and ethnicity, HbA1c, VA, or CMT between male and female patients. After controlling for age, HbA1c, and CMT, we found male sex to be associated with more HRF (incidence rate ratio [IRR] = 1.19; 95% confidence interval [CI] = 1.10-1.29), more HCF (odds ratio = 2.01; 95% CI = 1.12-3.64), and thicker INL (7 µm thicker in males; 95% CI = 2-12). Sex was not a significant predictor for either DRIL or SND in the multivariable regression models. Patients with higher HbA1c were more likely to have more HRF (IRR = 1.02 per 1 point increase; 95% CI = 1.00-1.04) after controlling for other factors. Conclusions: Male sex was correlated with more inflammation-related biomarkers on OCT including more HRF, more HCF, and thicker INL, after accounting for age, glycemic control, and amount of DME. Further studies are needed to evaluate the potential implications of these sex-based differences for individualized treatment. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Health service utilization, economic burden and quality of life of patients with mucopolysaccharidosis in China.

BACKGROUND: Patients with mucopolysaccharidosis (MPS) often face delayed diagnoses, limited treatment options and high healthcare costs, that may significantly affect patients' quality of life. The objective of this study was to understand medical service utilization related to diagnosis and treatment, economic burden during diagnosis period, and health-related quality of life among MPS patients in China. METHODS: A series of patients diagnosed with MPS registered in the national patient organization were recruited for a cross-sectional survey from May to July 2019. Information were collected from patients or their parents via phone interview, including demographic data, utilization of services related to diagnosis and treatment, total cost during the period of MPS diagnosis and health-related quality of life (HRQoL). HRQoL was assessed by PedsQL 4.0 Generic Core Scale (PedsQL) and 36-item short-form health survey (SF-36) depending on the age of patients with MPS and compared with the general Chinese population. RESULTS: A total of 180 MPS patients (50, 67, 15, 46, 1 and 1 for type I, II, III, IV, VI and VII), with a mean age of 9.54 years and 137 (76.11%) males, were included in analysis. The mean age at first visit to a medical doctor for MPS related symptoms was 3.65 ± 2.58 years old, while only 12 patients (6.67%) were diagnosed on their first visit. The mean diagnostic delay, which is defined as the time between the first visit to a medical doctor for MPS related symptoms and the final diagnosis, was 9.42 months, with no significant difference between types. The average number of misdiagnosis was 4.56. Before the confirmed diagnosis, the patients made an average of 6.31 visits and visited 4.3 hospitals. During diagnosis period, the mean of ¥81,086.72 direct medical costs accounted for 63.75% of the total cost. Only 32.78% of the patients had ever received specific treatments. The mean scores of PedsQL and SF-36 of patients were significantly lower than the Chinese norms. Household annual income per person, specific treatment use and MPS subtype were significantly associated HRQoL of patients. CONCLUSION: The results highlight challenges faced by MPS patients in terms of diagnosis, access to specific treatments, economic burden and low HRQoL. There is an urgent need to improve early detection and diagnosis, create fair and consistent mechanisms to increase access to specialized treatment and reduce the economic burden of MPS patients in China.

Comprehensive analysis of POLH-AS1 as a prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC), a prevalent primary malignant tumor, is notorious for its high mortality rate. Despite advancements in HCC treatment, patient outcomes remain suboptimal. This study endeavors to assess the potential prognostic significance of POLH-AS1 in HCC. METHODS: In this research, we gathered RNA-Seq information from individuals with HCC in The Cancer Genome Atlas (TCGA). We analyzed the levels of POLH-AS1 expression in both HCC cells and tissues using statistical tests. Additionally, we examined various prognostic factors in HCC using advanced methodologies. Furthermore, we employed Spearman's rank correlation analysis to examine the association between POLH-AS1 expression and the tumor's immune microenvironment. Finally, the functional roles of POLH-AS1 in HCC were validated in two HCC cell lines (HEP3B and HEPG2). RESULTS: Our analysis revealed elevated POLH-AS1 expression across various cancers, including HCC, with heightened expression correlating with HCC progression. Notably, POLH-AS1 expression emerged as a potential biomarker for HCC patient survival and prognosis. Mechanistically, we identified the involvement of POLH-AS1 in tumorigenesis pathways such as herpes simplex virus 1 infection, interactions with neuroactive receptors, and the cAMP signaling pathway. Lastly, inhibition of POLH-AS1 was discovered to hinder the proliferation, invasion and migration of HEP3B and HEPG2 HCC cells. CONCLUSIONS: POLH-AS1 emerges as a promising prognostic biomarker and therapeutic target for HCC, offering potential avenues for enhanced patient management and treatment strategies.

Self-assembled ROS-triggered Bletilla striata polysaccharide-releasing hydrogel dressing for inflammation-regulation and enhanced tissue-healing.

The antimicrobial and pro-healing properties remain critical clinical objectives for skin wound management. However, the escalating problem of antibiotic overuse and the corresponding rise in bacterial resistance necessitates an urgent shift towards an antibiotic-free approach to antibacterial treatment. The quest for antimicrobial efficacy while accelerating wound healing without antibiotic treatment have emerged as innovative strategies in skin wound treatment. Here, a dual-function hydrogel with antimicrobial and enhanced tissue-healing properties was developed by utilizing cyclodextrin, ferrocene, polyethyleneimine (PEI), and Bletilla striata polysaccharide (BSP), through multiple non-covalent interactions, which can intelligently release BSP by recognizing the wound inflammatory microenvironment through the cyclodextrin-ferrocene unit. Moreover, the porosity (65 % - 85 %), Young's modulus (400 KPa - 140 KPa), and DPPH scavenge rate (18 % - 40 %) of the hydrogel are modulated by varying the BSP content. The hydrogel exhibits outstanding antibacterial properties (98.3 % reduction of Escherichia coli observed after exposure to HTFC@BSP-20 for 24 h) and favorable biocompatibility. Furthermore, in a rat full-thickness skin wound model, the dual-function hydrogel significantly accelerates wound healing, increased CD31 expression promotes vascular regeneration, reduced TNF-α express and inhibited the inflammation. This multifunctional ROS responsive hydrogel provides a new perspective for antibiotics-free treatment of skin injuries.

The impact of sex hormones on metabolic syndrome: univariable and multivariable Mendelian randomization studies.

BACKGROUND: Observational studies have found associations between sex hormones and metabolic syndrome(Mets), but the causal relationships remains unclear. This study utilizes univariable and multivariable Mendelian randomization (MR) to elucidate the associations between sex hormones (including sex hormone-binding globulin(SHBG), estradiol(E2), testosterone(T)) and Mets and its subtypes (including waist circumference(WC), fasting blood glucose(FBG), high blood pressure(HBP), high-density lipoprotein(HDL-C), triglycerides(TG)). METHODS: We utilized summary data from large-scale genome-wide association studies. Univariable Mendelian randomization (UMVMR) analysis was primarily conducted using the inverse variance weighted method (IVW), with secondary analyses employing the weighted median, MR-Egger regression, simple mode method, and weighted mode method. Subsequently, multivariable Mendelian randomization (MVMR) was employed to assess the causal relationships between SHBG, T, E2, and MetS and its components: WC, FPG, HBP, HDL-C, and TG. Sensitivity analyses were conducted to assess result reliability. RESULTS: Genetically predicted SHBG was significantly negatively associated with MetS (UMVMR: ß=-0.72; 95% CI = 0.41 to 0.57; P = 1.28e-17; MVMR: ß=-0.60; 95% CI=-0.83 to -0.38; P < 0.001). Positive causal relationships were observed between SHBG and WC(MVMR: ß = 0.10; 95% CI = 0.03 to 0.17; P = 0.01) and HDL-C (MVMR: ß = 0.41; 95% CI = 0.21 to 0.60; P < 0.001), while negative causal relationships were found between SHBG and HBP (MVMR: ß=-0.02; 95% CI=-0.04 to -0.00; P = 0.02), TG (MVMR: ß=-0.48; 95% CI=-0.70 to -0.26; P < 0.001). Genetically predicted E2 exhibited a negative association with TG (MVMR: ß=-1.49; 95% CI=-2.48 to -0.50; P = 0.003). Genetically predicted T was negatively associated with TG (MVMR: ß=-0.36; 95% CI=-0.71 to -0.00; P = 0.049) and WC (MVMR: ß=-0.13; 95% CI=-0.24 to -0.02; P = 0.02), with inconsistent sensitivity analyses. Additionally, No other causal associations were found. CONCLUSION: Our study indicates that SHBG is a protective factor for MetS, potentially delaying its onset and progression through improvements in HBP and TG. Furthermore, T and E2 may improve TG levels, with T also reducing WC levels. Importantly, our study provides new insights for the prevention and treatment of MetS.

Spatial dynamics of mammalian brain development and neuroinflammation by multimodal tri-omics mapping.

The ability to spatially map multiple layers of the omics information over different time points allows for exploring the mechanisms driving brain development, differentiation, arealization, and alterations in disease. Herein we developed and applied spatial tri-omic sequencing technologies, DBiT ARP-seq (spatial ATAC-RNA-Protein-seq) and DBiT CTRP-seq (spatial CUT&Tag-RNA-Protein-seq) together with multiplexed immunofluorescence imaging (CODEX) to map spatial dynamic remodeling in brain development and neuroinflammation. A spatiotemporal tri-omic atlas of the mouse brain was obtained at different stages from postnatal day P0 to P21, and compared to the regions of interest in the human developing brains. Specifically, in the cortical area, we discovered temporal persistence and spatial spreading of chromatin accessibility for the layer-defining transcription factors. In corpus callosum, we observed dynamic chromatin priming of myelin genes across the subregions. Together, it suggests a role for layer specific projection neurons to coordinate axonogenesis and myelination. We further mapped the brain of a lysolecithin (LPC) neuroinflammation mouse model and observed common molecular programs in development and neuroinflammation. Microglia, exhibiting both conserved and distinct programs for inflammation and resolution, are transiently activated not only at the core of the LPC lesion, but also at distal locations presumably through neuronal circuitry. Thus, this work unveiled common and differential mechanisms in brain development and neuroinflammation, resulting in a valuable data resource to investigate brain development, function and disease.

Analyzing spatial delays of tuberculosis from surveillance and awareness surveys in Eastern China.

The spatial delays of pulmonary tuberculosis (PTB) have been less explored. In this study, a total of 151,799 notified PTB cases were included, with median patient and diagnostic delays of 15 [interquartile range (IOR), 4-35] and 2 (IOR, 0-8) days, respectively. The spatial autocorrelation analysis and spatial-temporal scan statistics were used to determine the clusters, indicating that the regions in the southwestern and northeastern parts of Zhejiang Province exhibited high rates of long-term patient delay (LPD, delay ≥ 15 days) and long-term diagnostic delay (LDD, delay ≥ 2 days). Besides, the Mantel test indicated a moderately positive correlation between public awareness of suspicious symptoms and the LPD rate in 2018 (Mantel's r = 0.4, P < 0.05). These findings suggest that PTB delays can reveal deficiencies in public health education and the healthcare system. Also, it is essential to explore methods to shift PTB knowledge towards real changes in attitude and behavior to minimize patient delay. Addressing these issues will be crucial for improving public health outcomes related to PTB in Zhejiang Province.

PAK3 Exacerbates Cardiac Lipotoxicity via SREBP1c in Obesity Cardiomyopathy.

Obesity-induced lipid overload in cardiomyocytes contributes to profound oxidative stress and cardiomyopathy, culminating in heart failure. In this study, we investigate a novel mechanism whereby lipids accumulate in cardiomyocytes and seek the relevant treatment strategies. P21-activated kinase 3 (PAK3) was elevated in obese human myocardium, and the murine hearts and cardiomyocytes upon diet- or fatty acid-induced stress, respectively. Mice with cardiac-specific overexpression of PAK3 were more susceptible to the development of cardiac dysfunction upon diet stress, at least partially, due to increased deposition of toxic lipids within the myocardium. Mechanistically, PAK3 promoted the nuclear expression of sterol regulatory element binding protein 1c (SREBP1c) through activation of mammalian target of rapamycin (mTOR) and ribosomal protein S6 kinase beta-1 (S6K1) pathway in cardiomyocytes, resulting in abnormal lipid genes profile, accumulation of excessive lipids, and oxidative stress. More importantly, PAK3 knockdown attenuated fatty acid-induced lipotoxicity and cell death in rat and human cardiomyocytes. More importantly, the S6K1 or SREBP1c inhibitor alleviated PAK3-triggered intracellular lipid overload and cardiac dysfunction under obese stress. Collectively, we have demonstrated that PAK3 impairs myocardial lipid homeostasis, while inhibition of cardiac lipotoxicity mitigates cardiac dysfunction. Our study provides a promising therapeutic strategy for ameliorating obesity cardiomyopathy.

Comparing time-series transcriptomes between chilling-resistant and -susceptible rice reveals potential transcription factors responding to chilling stress.

Low temperature is one of the most important environmental factors that inhibits rice growth and grain yield. Transcription factors (TFs) play crucial roles in chilling acclimation by regulating gene expression. However, transcriptional dynamics and key regulators responding to low temperature remain largely unclear in rice. In this study, a transcriptome-based comparative analysis was performed to explore genome-wide gene expression profiles between a chilling-resistant cultivar DC90 and a chilling-susceptible cultivar 9311 at a series of time points under low temperature treatment and recovery condition. A total of 3,590 differentially expressed genes (DEGs) between two cultivars were determined and divided into 12 co-expression modules. Meanwhile, several biological processes participating in the chilling response such as abscisic acid (ABA) responses, water deprivation, protein metabolic processes, and transcription regulator activities were revealed. Through weighted gene co-expression network analysis (WGCNA), 15 hub TFs involved in chilling conditions were identified. Further, we used the gene regulatory network (GRN) to evaluate the top 50 TFs, which might have potential roles responding to chilling stress. Finally, five TFs, including a C-repeat binding factor (OsCBF3), a zinc finger-homeodomain protein (OsZHD8), a tandem zinc finger protein (OsTZF1), carbon starved anther (CSA), and indeterminate gametophyte1 (OsIG1) were identified as crucial candidates responsible for chilling resistance in rice. This study deepens our understanding in the gene regulation networks of chilling stress in rice and offers potential gene resources for breeding climate-resilient crops.

Spatial dynamics of mammalian brain development and neuroinflammation by multimodal tri-omics mapping.

The ability to spatially map multiple layers of the omics information over different time points allows for exploring the mechanisms driving brain development, differentiation, arealization, and alterations in disease. Herein we developed and applied spatial tri-omic sequencing technologies, DBiT ARP-seq (spatial ATAC-RNA-Protein-seq) and DBiT CTRP-seq (spatial CUT&Tag-RNA-Protein-seq) together with multiplexed immunofluorescence imaging (CODEX) to map spatial dynamic remodeling in brain development and neuroinflammation. A spatiotemporal tri-omic atlas of the mouse brain was obtained at different stages from postnatal day P0 to P21, and compared to the regions of interest in the human developing brains. Specifically, in the cortical area, we discovered temporal persistence and spatial spreading of chromatin accessibility for the layer-defining transcription factors. In corpus callosum, we observed dynamic chromatin priming of myelin genes across the subregions. Together, it suggests a role for layer specific projection neurons to coordinate axonogenesis and myelination. We further mapped the brain of a lysolecithin (LPC) neuroinflammation mouse model and observed common molecular programs in development and neuroinflammation. Microglia, exhibiting both conserved and distinct programs for inflammation and resolution, are transiently activated not only at the core of the LPC lesion, but also at distal locations presumably through neuronal circuitry. Thus, this work unveiled common and differential mechanisms in brain development and neuroinflammation, resulting in a valuable data resource to investigate brain development, function and disease.

A Networked Meta-Population Epidemic Model with Population Flow and Its Application to the Prediction of the COVID-19 Pandemic.

This article addresses the crucial issues of how asymptomatic individuals and population movements influence the spread of epidemics. Specifically, a discrete-time networked Susceptible-Asymptomatic-Infected-Recovered (SAIR) model that integrates population flow is introduced to investigate the dynamics of epidemic transmission among individuals. In contrast to existing data-driven system identification approaches that identify the network structure or system parameters separately, a joint estimation framework is developed in this study. The joint framework incorporates historical measurements and enables the simultaneous estimation of transmission topology and epidemic factors. The use of the joint estimation scheme reduces the estimation error. The stability of equilibria and convergence behaviors of proposed dynamics are then analyzed. Furthermore, the sensitivity of the proposed model to population movements is evaluated in terms of the basic reproduction number. This article also rigorously investigates the effectiveness of non-pharmaceutical interventions via distributively controlling population flow in curbing virus transmission. It is found that the population flow control strategy reduces the number of infections during the epidemic.