Adaptive Response Research Articles

Duodenal transcriptomics demonstrates signatures of tissue inflammation and immune cell infiltration in children with environmental enteric dysfunction across global centers

BackgroundEnvironmental enteric dysfunction (EED) is an inflammatory condition of the small intestine that is prevalent in children residing in low- and middle-income countries. EED is accompanied by profound histopathologic changes in the small bowel, loss of absorptive capacity, increased intestinal permeability, increased microbial translocation, and nutrient loss. ObjectivesWe sought to identify dysregulated genes and pathways that might underlie pediatric EED. MethodsRNA-sequencing libraries were generated from endoscopically obtained duodenal tissue from undernourished children with EED from 3 prospective cohorts of children with EED. The EED transcriptome was defined in comparison to North American children without EED. Weighted gene coexpression network analysis (WGCNA) was tested for gene modules associated with EED and its histologic features. ResultsThe 1784 upregulated genes in EED were highly enriched for immune and inflammatory processes, including IL-17 and JAK-STAT signaling, and cytokine–cytokine receptor interactions. The 1388 downregulated genes included genes corresponding to xenobiotic metabolism, detoxification, and antioxidant capacities. A gene coexpression module enriched for antimicrobial responses and chemokine activity was significantly associated with villous blunting, goblet cell depletion, and overall histologic severity of EED. ConclusionsThe transcriptome signatures of EED include specific innate and adaptive immune responses that are consistently elevated across study centers, coupled with reduced detoxification and antioxidant capacities. These data may have implications for targeted interventions to improve EED outcomes.

P175 ESTIMATION OF SODIUM INTAKE CAN BE IMPROVED BY CORRECTION OF 24H SODIUM EXCRETION FOR 24H URINE VOLUME

Background and Objective: Long-term sodium (Na) balance studies demonstrated that 24 h sodium excretion does not reflect 24 h sodium intake, which complicates the use of 24 h urine sodium measurements for sodium intake estimation. This discrepancy has been linked to infradian rhythms of aldosterone and cortisol, which are responsible for adaptive responses targeted to (renal) water conservation. We hypothesize that correction for these parameters will improve the accuracy of sodium intake estimates. Methods: We used data from two sodium balance studies that controlled dietary salt intake for 105 (4 men) and 205 days (6 men) at levels of 6, 9 and 12 g/day. We tested whether correction of 24 h urine sodium for 24 h urine volume, 24 h urine potassium, 24 h urine urea, 24 h urine aldosterone, 24 h urine cortisol, 24 h urine cortisol/cortisone and/or urine osmolality, increased the accuracy of 24 h sodium intake estimates using forward selection linear mixed-effects analysis with a random intercept per participant. Results: The median difference between 24 h sodium intake and excretion was 26 mmol (IQR 13 - 45 mmol). 24 h urine sodium explained only 49% of the variance in 24 h sodium intake. In 7 out of 10 subjects, 24 h urine volume was of most added value to the model, after 24 h urine sodium, increasing R2 with 0.08±0.03. Including 24 h urine volume in the model significantly improved the model fit (P<0.001, marginal R2 0.55). The addition of urine urea, urine aldosterone and urine osmolality also contributed significantly but the marginal R2 only further increased to 0.56. After correction of 24 h urine sodium for 24 h urine volume, sodium intake could be estimated more accurately: the 50-mmol discrepancy between 24 h sodium intake and excretion was reduced from 18% to 10% and the 25-mmol discrepancy from 52% to 43% (P<0.001, Figure 1). Conclusions: In healthy young males, estimation of sodium intake can be improved by correcting 24 h urine sodium for 24 h urine volume.

A Randomized Controlled Trial to Determine the Impact of Resistance Training versus Aerobic Training on the Management of FGF-21 and Related Physiological Variables in Obese Men with Type 2 Diabetes Mellitus.

Fibroblast growth factor 21 (FGF-21) has been suggested as a potential therapeutic target for insulin resistance in health-related metabolic disorders such as type 2 diabetes. Despite the metabolic effects of resistance (RT) and aerobic training (AT) on diabetes symptoms, uncertainty exists regarding the superiority of effects manifested through these training approaches on FGF-21 and biochemical and physiological variables associated with metabolic disorders in men diagnosed with type 2 diabetes. This study aimed to investigate the impact of a 12-week RT and AT on FGF-21 levels and symptoms associated with metabolic disorders in male individuals diagnosed with type 2 diabetes. Thirty-six sedentary obese diabetic men (40 to 45 years old) were matched based on the level of FGF-1. They and were randomly divided into two training groups (RT, n = 12 and AT, n = 12) performing three days per week of moderate-intensity RT or AT for 12 weeks and an inactive control group (n = 12). Both training interventions significantly improved FGF-21, glucose metabolism, lipid profile, hormonal changes, strength, and aerobic capacity. Subgroup analysis revealed that RT had greater adaptive responses (p < 0.01) in fasting blood sugar (ES = -0.52), HOMA-IR (ES = -0.87), testosterone (ES = 0.52), cortisol (ES = -0.82), FGF-21 (ES = 0.61), and maximal strength (ES = 1.19) compared to AT. Conversely, AT showed greater changes (p < 0.01) in cholesterol (ES = -0.28), triglyceride (ES = -0.64), HDL (ES = 0.46), LDL (ES = -0.73), and aerobic capacity (ES = 1.18) compared to RT. Overall, both RT and AT interventions yielded significant moderate to large ES in FGF-21 levels and enhanced the management of biochemical variables. RT is an effective method for controlling FGF-21 levels and glucose balance, as well as for inducing hormonal changes. On the other hand, AT is more suitable for improving lipid profiles in overweight men with type 2 diabetes mellitus.

Towards a crisis management playbook: Hospice and palliative team members’ views amid COVID-19

ContextThe critical role of hospice and palliative care in response to the COVID-19 pandemic is well recognized, but there is limited evidence to guide healthcare leadership through future crises. ObjectivesOur goal was to support future organizational resilience by exploring hospice and palliative team members’ perspectives on crisis leadership during the COVID-19 pandemic in New York City (NYC). MethodsThis qualitative descriptive study used individual, semi-structured interviews of purposively sampled interdisciplinary team members. Enrollment sites were two large NYC metro hospice care organizations and one outpatient palliative care practice. We asked participants to complete a demographic form and a 45-60 minute interview. We used descriptive statistics and thematic analysis, respectively, for data analysis. We triangulated the data by presenting preliminary study findings to a group of clinicians (n=21) from one of the referring organizations. ResultsParticipants (n=30) were professionally diverse (e.g., nurses, physicians, social workers, chaplains, administrators), experienced (mean=17 years; 10 years in hospice), and highly educated (83% ≥ master's degree). About half (n=15) self-identified as white, non-Hispanic, and nearly half (n=13) self-identified as being from a racial/ethnic minoritized group. Two (n=2) did not wish to self-identify. We identified four themes that reflected challenges and adaptive responses to providing care during a crisis: Stay Open and Stay Safe; Act Flexibly; Lead Adaptively; and Create a Culture of Solidarity. ConclusionWhile additional work is indicated, findings offer direction for a crisis management playbook to guide leadership in hospice, palliative care, and other healthcare settings in future crises.

Wheat TaNACα18 functions as a positive regulator of high-temperature adaptive responses and improves cell defense machinery.

Global wheat production amounted to >780 MMT during 2022-2023 whose market size are valued at >$128 billion. Wheat is highly susceptible to high-temperature stress (HTS) throughout the life cycle and its yield declines 5-7% with the rise in each degree of temperature. Previously, we reported an array of HTS-response markers from a resilient wheat cv. Unnat Halna and described their putative role in heat acclimation. To complement our previous results and identify the key determinants of thermotolerance, here we examined the cytoplasmic proteome of a sensitive cv. PBW343. The HTS-triggered metabolite reprograming highlighted how proteostasis defects influence the formation of an integrated stress-adaptive response. The proteomic analysis identified several promising HTS-responsive proteins, including a NACα18 protein, designated TaNACα18, whose role in thermotolerance remains unknown. Dual localization of TaNACα18 suggests its crucial functions in the cytoplasm and nucleus. The homodimerization of TaNACα18 anticipated its function as a transcriptional coactivator. The complementation of TaNACα18 in yeast and overexpression in wheat demonstrated its role in thermotolerance across the kingdom. Altogether, our results suggest that TaNACα18 imparts tolerance through tight regulation of gene expression, cell wall remodeling and activation of cell defense responses.

Development of a Programable Automated Cell Culture System to Study the Lung Pathophysiology of Cystic Fibrosis-Related Diabetes

The study of many diseases is limited by the in vitro systems available. Cystic Fibrosis-Related Diabetes (CFRD), the main co-morbidity of Cystic Fibrosis (CF), is a perfect example. Cells in vivo experience glucose fluctuations after meals. In contrast, cells cultured in vitro are initially exposed to high glucose media. Glucose gets progressively depleted until the next media change days later, which is not physiologically relevant and could negatively impact the results of research studies. To better study the mechanisms driving CFRD pathophysiology, we developed a programable and automated cell culture system (PACCS) capable of mimicking acute hyperglycemic episodes experienced by CFRD patients after meals. We adapted a commercially available perfusion system and performed 3D modeling to develop this system. Results show that PACCS can be successfully used to culture airway epithelial cells, both immortalized and primary cells. Further, CF cells responded differently to meal-like conditioning when compared to controls, suggesting impaired adaptative responses in CF cells. Overall, PACCS will allow us to better study CFRD pathophysiology, and it could be used for a wide range of other applications.

Adaptive response of Balanites aegyptiaca (L.) Del to severe aridity in the Western desert of Egypt

Adaptive response of Balanites aegyptiaca (L.) Del to severe aridity in the Western desert of Egypt

Transcriptomic analysis reveals interactive effects of polyvinyl chloride microplastics and cadmium on Mytilus galloprovincialis: Insights into non-coding RNA responses and environmental implications

Despite increasing concerns regarding the interactions of microplastic and heavy metal pollution, there is limited knowledge on the molecular responses of marine organisms to these stressors. In this study, we used whole-transcriptome sequencing to investigate the molecular responses of the ecologically and economically important bivalve Mytilus galloprovincialis to individual and combined exposures of environmentally relevant concentrations of PVC microplastics and cadmium (Cd). Our results revealed distinct transcriptional changes in M. galloprovincialis, with significant overlap in the differentially expressed genes between the individual and combined exposure groups. Genes involved in cellular senescence, oxidative stress, and galactose metabolism were differentially expressed. Additionally, key signaling pathways related to apoptosis and drug metabolism were significantly modulated. Notably, the interaction of PVC microplastics and Cd resulted in differential expression of genes involved in drug metabolism and longevity regulating compared to single exposures. This suggests that the interaction between these two stressors may have amplified effects on mussel health. Overall, this comprehensive transcriptomic analysis provides valuable insights into the adaptive and detrimental responses of M. galloprovincialis to PVC microplastics and Cd in the environment.

Multi-epitope vaccine design of African swine fever virus considering T cell and B cell immunogenicity

T and B cell activation are equally important in triggering and orchestrating adaptive host responses to design multi-epitope African swine fever virus (ASFV) vaccines. However, few design methods have considered the trade-off between T and B cell immunogenicity when identifying promising ASFV epitopes. This work proposed a novel Pareto front-based ASFV screening method PFAS to identify promising epitopes for designing multi-epitope vaccines utilizing five ASFV Georgia 2007/1 sequences. To accurately predict T cell immunogenicity, four scoring methods were used to estimate the T cell activation in the four stages, including proteasomal cleavage probability, transporter associated with antigen processing transport efficiency, class I binding affinity of the major histocompatibility complex, and CD8 + cytotoxic T cell immunogenicity. PFAS ranked promising epitopes using a Pareto front method considering T and B cell immunogenicity. The coefficient of determination between the Pareto ranks of multi-epitope vaccines and survival days of swine vaccinations was R2 = 0.95. Consequently, PFAS scored complete epitope profiles and identified 72 promising top-ranked epitopes, including 46 CD2v epitopes, two p30 epitopes, 10 p72 epitopes, and 14 pp220 epitopes. PFAS is the first method of using the Pareto front approach to identify promising epitopes that considers the objectives of maximizing both T and B cell immunogenicity. The top-ranked promising epitopes can be cost-effectively validated in vitro. The Pareto front approach can be adaptively applied to various epitope predictors for bacterial, viral and cancer vaccine developments. The MATLAB code of the Pareto front method was available at https://github.com/NYCU-ICLAB/PFAS.Graphical

Classical dendritic cells contribute to hypoxia-induced pulmonary hypertension.

Pulmonary hypertension (PH) is a chronic and progressive disease with significant morbidity and mortality. It is characterized by remodeled pulmonary vessels associated with perivascular and intravascular accumulation of inflammatory cells. Although there is compelling evidence that bone marrow-derived cells, such as macrophages and T cells, cluster in the vicinity of pulmonary vascular lesions in humans and contribute to PH development in different animal models, the role of dendritic cells in PH is less clear. Dendritic cells' involvement in PH is likely since they are responsible for coordinating innate and adaptive immune responses. We hypothesized that dendritic cells drive hypoxic PH. We demonstrate that a classical dendritic cell (cDC) subset (cDC2) is increased and activated in wild-type mouse lungs after hypoxia exposure. We observe significant protection after the depletion of cDCs in ZBTB46 DTR chimera mice before hypoxia exposure and after established hypoxic PH. In addition, we find that cDC depletion is associated with a reduced number of two macrophage subsets in the lung (FolR2+ MHCII+ CCR2+ and FolR2+ MHCII+ CCR2-). We found that depleting cDC2s, but not cDC1s, was protective against hypoxic PH. Finally, proof-of-concept studies in human lungs show increased perivascular cDC2s in patients with Idiopathic Pulmonary Arterial Hypertension (IPAH). Our data points to an essential role of cDCs, particularly cDC2s, in the pathophysiology of experimental PH.

Calcium signaling regulates the accumulation of phenolic acids in response to UV-B stress in Rhododendron chrysanthum Pall.

This study, using multi-omics combined with physiologic assays, found that calcium-ion signaling can regulate phenolic acid accumulation in R. chrysanthum leaves in response to UV-B stress. UV-B stress is a severe abiotic stress capable of destroying cellular structures and affecting plant growth. Rhododendron chrysanthum Pall. (R. chrysanthum) is a plant that has been exposed to high levels of UV-B radiation for an extended period, leading to the development of adaptive responses to mitigate UV-B stress. As such, it serves as a valuable experimental material for studying plant resilience to UV-B stress. We utilized R. chrysanthum as the experimental material and subjected it to UV-B stress. We conducted a comprehensive analysis of the changes in R. chrysanthum under both control and UV-B stress conditions using multi-omic and physiologic assays. Our aim was to investigate the molecular mechanism underlying R. chrysanthum's resistance to UV-B stress, with a focus on calcium-ion signaling. UV-B stress was found to impact the photosynthesis of R. chrysanthum by decreasing the maximum photosynthetic efficiency of photosystem II, reducing Fm, and increasing F0. In addition, the composition of numerous phenolic acid compounds was significantly altered. Genes and proteins related to calcium signaling showed significant differences, with some proteins (CML, CPK1, CRK3, ATP2C, ERG3, CAR7) being modified by acetylation. The correlation between genes and proteins involved in calcium signaling and phenolic compounds suggested that calcium signaling may play a role in regulating the accumulation of phenolic compounds under UV-B stress to help R. chrysanthum adapt. This study examines the impact of calcium-ion signaling on the accumulation of phenolic acid compounds, offering insights for future research on the molecular mechanisms underlying plant resilience to UV-B stress.

Advanced modelling and recurrent analysis in network security: Scrutiny of data and fault resolution

This research dealt with the critical integration of advanced modelling techniques and recurrent analysis within network security, with a primary goal of enhancing the critical analysis of network data and improving fault resolution processes. The study focuses on the development of advance, predictive models capable of identifying and mitigating security threats in real-time, leveraging the power of Recurrent Neural Networks (RNNs) alongside other sophisticated machine learning techniques. By harnessing the dynamic capabilities of these models, the research aims to address the growing complexity and sophistication of network threats, which require continuous monitoring and adaptive responses. Also, the study investigates the effectiveness of these advanced models in environments where network conditions are constantly evolving, necessitating security protocols that can dynamically adjust to new and emerging threats. Through rigorous data scrutiny and recurrent analysis, the research seeks to establish fault resolution mechanisms that not only detect and neutralize immediate security breaches but also anticipate potential vulnerabilities before they can be exploited. Ultimately, this research contributes to the advancement of network security by providing a framework that integrates cutting-edge technology with real-time adaptability, ensuring that security measures remain robust and effective in the face of ever-changing digital threats.

Genomic and transcriptomic analyses reveal insights into cadmium resistance mechanisms of Cupriavidus nantongensis strain E324

The cadmium-resistant Cupriavidus sp. strain E324 has been previously shown to have a high potential for use in cadmium (Cd) remediation, due to its high capacity for cadmium bioaccumulation. According to the comparative genomic analysis, the strain E324 was most closely related to C. nantongensis X1T, indicating that the strain E324 should be re-identified as C. nantongensis. To unravel the Cd tolerance mechanisms of C. nantongensis strain E324, the transcriptional response of this strain to acute Cd exposure was assessed using RNA-seq-based transcriptome analysis, followed by validation through qRT-PCR. The results showed that the upregulated Differentially Expressed Genes (DEGs) were significantly enriched in categories related to metal binding and transport, phosphate transport, and oxidative stress response. Consistently, we observed significant increases in both the cell wall and intracellular contents of certain essential metals (Cu, Fe, Mn, and Zn) upon Cd exposure. Among these, only the Zn pretreatment resulting in high Zn accumulation in the cell walls could enhance bacterial growth under Cd stress conditions through its role in inhibiting Cd accumulation. Additionally, the promotion of catalase activity and glutathione metabolism upon Cd exposure to cope with Cd-induced oxidative stress was demonstrated. Meanwhile, the upregulation of phosphate transport-related genes upon Cd treatment seems to be the bacterial response to Cd-induced phosphate depletion. Altogether, our findings suggest that these adaptive responses are critical mechanisms contributing to increased Cd tolerance in C. nantongensis strain E324 via the enhancement of metal-chelating and antioxidant capacities of the cells.

Immunohistochemistry analyses of the abomasal mucosa show differences in cellular-mediated immune responses to Haemonchus contortus infection in resistant and susceptible young lambs

Haemonchus contortus is known for its high pathogenicity in sheep, and the uncontrolled use of anthelmintics resulted in the emergence of multiple drug-resistant populations. Breeding sheep for gastrointestinal nematode resistance is a sustainable alternative to reduce dependence of anthelmintic drugs, and differences in the degree of resistance between breeds have been reported. Here we compare two sheep breeds (Santa Ines and Ile de France), concerning the differences in innate and adaptive immune response involved in the resistance against H. contortus infection. Immunohistochemical analyses of the abomasum were conducted in naïve Santa Ines (n = 14) and Ile de France (n = 12) lambs randomized into four groups: infected Santa Ines (n = 8), non-infected control Santa Ines (n = 6), infected Ile de France (n = 8), and non-infected control Ile de France (n = 4). The infected lambs were initially infected with H. contortus infective larvae at 14 days of age, and multiple infections were conducted every second day until they reached 66 days of age. There was a significant effect (P < 0.001) of the infection with increase in numbers of CD3+ T; CD79α+ B; GATA3+ Th2/ILC2; POU2F3+ tuft cells; FOXP3+ T reg; and IgE + cells in the fundus of the abomasal mucosa in both Santa Ines and Ile de France lambs. Nevertheless, the infected Santa Ines lambs presented the highest averages for CD79α+ B; GATA3+ Th2/ILC; IgE + cells; and POU2F3+ tuft cells and there was a significant association of the breed and infection status with regards to POU2F3+ tuft cells, with the highest mean in the infected Santa Ines group. The infected Santa Ines group had three lambs with high degree of resistance and five lambs that showed a moderate infection. Our results suggest a mechanism of synergistic coordination between different immune-cell types in promoting resistance of suckling lambs under H. contortus infection.

Generation of dual-attribute iTNK cells from hPSCs for cancer immunotherapy

Dual-attribute immune cells possess advantageous features of cytotoxic Tcells and natural killer (NK) cells and hold promise for advancing immunotherapy. Dual-attribute cell types such as invariant natural killer Tcells, induced T-to-NK cells, and cytokine-induced killer cells have demonstrated efficacy and safety in preclinical and clinical studies. However, their limited availability hinders their widespread application. Human pluripotent stem cells (hPSCs) offer an ideal source. Here, we generate dual-attribute induced T-NK (iTNK) cells from hPSCs, expressing markers of both cytotoxic T and NK cells. Single-cell RNA and Tcell receptor (TCR) sequencing analyses reveal that iTNK cells expressed signature genes associated with both NK and Tcells and displayed a diverse TCR repertoire. iTNK cells release cytotoxic mediators, exert cytotoxicity against diverse tumor cell lines, and inhibit tumor growth invivo. By harnessing adaptive and innate immune responses, hPSC-derived iTNK cells offer promising strategies for cancer immunotherapy.

Treatment with lipoxin A4 improves influenza A infection outcome, induces macrophage reprogramming, anti-inflammatory and pro-resolutive responses.

Influenza A is a virus from theOrthomixoviridaefamily responsible for high lethality rates and morbidity, despite clinically proven vaccination strategies and some anti-viral therapies. The eicosanoid Lipoxin A4 (LXA4) promotes the resolution of inflammation by decreasing cell recruitment and pro-inflammatory cytokines release, but also for inducing activation of apoptosis, efferocytosis, and macrophage reprogramming. Here, we evaluated whether a synthetic lipoxin mimetic, designated AT-01-KG, would improve the course of influenza A infection in a murine model. Mice were infected with influenza A/H1N1 and treated with AT-01-KG (1.7μg/kg/day, i.p.) at day 3 post-infection. AT-01-KG attenuated mortality, reducing leukocyte infiltration and lung damage at day 5 and day 7 post-infection. AT-01-KG is a Formyl Peptide Receptor 2 (designated FPR2/3 in mice) agonist, and the protective responses were not observed in fpr2/3-/-animals. In mice treated with LXA4(50μg/kg/day, i.p., days 3-6 post-infection), at day 7, macrophage reprogramming was observed, as seen by a decrease in classically activated macrophages and an increase in alternatively activated macrophages in the lungs. Furthermore, the number of apoptotic cells and cells undergoing efferocytosis was increased in the lavage of treated mice. Treatment also modulated the adaptive immune response, increasing the number of T helper 2 cells (Th2) and regulatory T (Tregs) cells in the lungs of the treated mice. Therefore, treatment with a lipoxin A4analog was beneficial in a model of influenza A infection in mice. The drug decreased inflammation and promoted resolution and beneficial immune responses, suggesting it may be useful in patients with severe influenza.

Development of an engineered extracellular vesicles-based vaccine platform for combined delivery of mRNA and protein to induce functional immunity

mRNA incorporated in lipid nanoparticles (LNPs) became a new class of vaccine modality for induction of immunity against COVID-19 and ushered in a new era in vaccine development. Here, we report a novel, easy-to-execute, and cost effective engineered extracellular vesicles (EVs)-based combined mRNA and protein vaccine platform (EVX-M+P vaccine) and explore its utility in proof-of-concept immunity studies in the settings of cancer and infectious disease. As a first example, we engineered EVs, natural nanoparticle carriers shed by all cells, to contain ovalbumin mRNA and protein (EVOvaM+P vaccine) to serve as cancer vaccine against ovalbumin-expressing melanoma tumors. EVOvaM+P administration to mice with established melanoma tumors resulted in tumor regression associated with effective humoral and adaptive immune responses. As a second example, we generated engineered EVs that contain Spike (S) mRNA and protein to serve as a combined mRNA and protein vaccine (EVSpikeM+P vaccine) against SARS-CoV-2 infection. EVSpikeM+P vaccine administration in mice and baboons elicited robust production of neutralizing IgG antibodies against RBD (receptor binding domain) of S protein and S protein specific T cell responses. Our proof-of-concept study describes a new platform with an ability for rapid development of combination mRNA and protein vaccines employing EVs for deployment against cancer and other diseases.

Transgenerational and parental impacts of acrylamide exposure on Caenorhabditis elegans: Physiological, behavioral, and genetic mechanisms

Acrylamide is pervasive, and its exposure poses numerous health risks. This study examines both the direct and transgenerational effects of acrylamide toxicity in Caenorhabditis elegans, focusing on physiological and behavioral parameters. Parental exposure to acrylamide compromised several aspects of nematode health, including lifespan, reproductive capacity, body dimensions, and motor and sensory functions. Notably, while exposure to low concentrations of acrylamide did not alter the physiological traits of the offspring—except for their learning and memory—these findings suggest a possible adaptive response to low-level exposure that could be inherited by subsequent generations. Furthermore, continued acrylamide exposure in the offspring intensified both physiological and perceptual toxicity. Detailed analysis revealed dose-dependent alterations in acrylamide's detoxification and metabolic pathways. In particular, it inhibits the gene gst-4, which encodes a crucial enzyme in detoxification, mitigates DNA damage induced by acrylamide, and highlights a potential therapeutic target to reduce its deleterious effects.

Online learning from incomplete data streams with partial labels for multi-classification

Online learning from the data streams is a research hotspot due to adaptive responses to real-time data arrival and fleeting. Existing approaches can only handle real-world scenarios partially due to constraints such as binary classification, complete labels, and fixed feature spaces. Learning from incomplete data streams with partial labels for multi-classification is crucial but rarely investigated due to its complexity and variability. To address this issue, we propose a novel Online Learning approach from Incomplete Data Streams with Partial Labels for Multi-classification, named OLIDSPLM. OLIDSPLM includes three main ideas: a) exploiting feature similarity to re-weight the most informative features in incomplete feature space (IFS) to avoid bias caused by filling in missing features, b) using self-train to label unlabeled instances and filter outliers, and c) utilizing the difference in the distribution between instances and model generated to detect concept drifts adaptively. We experimentally evaluated OLIDSPLM and its rivals in handling the IFS, partial labels, and concept drifts to validate its effectiveness. The code is released at https://github.com/youdianlong/OLIDSPLM.

Mechanical Loading Modulates AMPK and mTOR Signaling in Muscle Cells.

Skeletal muscle adaptation to exercise involves various phenotypic changes that enhance the metabolic and contractile functions. One key regulator of these adaptive responses is the activation of AMPK, which is influenced by exercise intensity. However, the mechanistic understanding of AMPK activation during exercise remains incomplete. In this study, we utilized an in vitro model to investigate the effects of mechanical loading on AMPK activation and its interaction with the mTOR signaling pathway. Proteomic analysis of muscle cells subjected to static loading (SL) revealed distinct quantitative protein alterations associated with RNA metabolism, with 10% SL inducing the most pronounced response compared to lower intensities of 5% and 2% as well as the control. Additionally, 10% SL suppressed RNA and protein synthesis while activating AMPK and inhibiting the mTOR pathway. We also found that SRSF2, necessary for pre-mRNA splicing, is regulated by AMPK and mTOR signaling, which, in turn, is regulated in an intensity-dependent manner by SL with the highest expression in 2% SL. Further examination showed that the ADP/ATP ratio was increased after 10% SL compared to the control and that SL induced changes in mitochondrial biogenesis. Furthermore, Seahorse assay results indicate that 10% SL enhances mitochondrial respiration. These findings provide novel insights into the cellular responses to mechanical loading and shed light on the intricate AMPK-mTOR regulatory network in muscle cells.