Feasibility and accuracy of noninvasive continuous hemoglobin monitoring using transesophageal photoplethysmography in porcine model.

BACKGROUND: Continuous and noninvasive hemoglobin (Hb) monitoring during surgery is essential for anesthesiologists to make transfusions decisions. The aim of this study was to investigate the feasibility and accuracy of noninvasive and continuous Hb monitoring using transesophageal descending aortic photoplethysmography (dPPG) in porcine model. METHODS: Nineteen landrace pigs, aged 3 to 5 months and weighing 30 to 50 kg, were enrolled in this study. A homemade oximetry sensor, including red (660 nm) and infrared (940 nm) lights, was placed in the esophagus for dPPG signal detection to pair with the corresponding reference Hb values (Hbi-STAT) measured by blood gas analysis. The decrease and increase changes in Hb concentration were achieved by hemodilution and transfusion. Metrics, including alternating current (AC), direct current (DC), and AC/DC for both red and infrared light were extracted from the dPPG signal. A receiver operating characteristic (ROC) curve was built to evaluate the performance of dPPG metrics in predicting the Hb "trigger threshold" of transfusion (Hb < 60 g/L and Hb > 100 g/L). Agreement and trending ability between Hb measured by dPPG (HbdPPG) and by blood gas analysis were analyzed by Bland-Altman method and polar plot graph. Error grid analysis was also performed to evaluate clinical significance of HbdPPG measurement. RESULTS: The dPPG signal was successfully detected in all of the enrolled experimental pigs, without the occurrence of a continuous loss of dPPG signal for 2 min during the entire measurement. A total of 376 pairs of dPPG signal and Hbi-STAT were acquired. ACred/DCred and ACinf/DCinf had moderate correlations with Hbi-STAT, and the correlation coefficients were 0.790 and 0.782, respectively. The areas under the ROC curve for ACred/DCred and ACinf/DCinf in predicting Hbi-STAT < 60 g/L were 0.85 and 0.75, in predicting Hbi-STAT > 100 g/L were 0.90 and 0.83, respectively. Bland-Altman analysis and polar plot showed a small bias (1.69 g/L) but a wide limit of agreement (-26.02-29.40 g/L) and a poor trend ability between HbdPPG and Hbi-STAT. Clinical significance analysis showed that 82% of the data lay within the Zone A, 18% within the Zone B, and 0% within the Zone C. CONCLUSION: It is feasible to establish a noninvasive and continuous Hb monitoring by transesophageal dPPG signal. The ACred/DCred extracted from the dPPG signal could provide a sensitive prediction of the Hb threshold for transfusion. The Hb concentration measured by dPPG signal has a moderate correlation with that measured by blood gas analysis. This animal study may provide an experimental basis for the development of bedside HbdPPG monitoring in the future.

Improvement of Pre-check and Triage Efficiency and Guarantee of Maternal and Infant Safety in Pandemic Situation.

Objective: The objective of this study was to enhance the efficiency of pre-check and triage procedures in gynecology and obstetrics, while ensuring the safety of maternal and infant patients during the COVID-19 pandemic. Methods: Between March 2020 and July 2022, the workflow in gynecology and obstetrics was optimized, and the management of medical staff working in outpatient, ward, and obstetric ward settings was strengthened. Special protocols were developed and implemented for pregnant women, parturients, and neonates. Detailed procedures and routes were established for patient movement from outpatient areas to wards, with strict adherence to pandemic prevention and control measures. Information-based methods were employed to track and monitor the health status of high-risk pregnant women, parturients, and their families, facilitating accurate and efficient pre-check and triage processes. Results: The implementation of these measures yielded favorable outcomes. No cases of COVID-19 infection were reported among pregnant women and parturients admitted to Liangzhou Hospital. The source of infection was effectively controlled, ensuring the safety of the patients. Conclusion: This study demonstrates the significance of improving pre-check and triage efficiency, strengthening the management of medical staff, and implementing specialized measures for pregnant women, parturients, and neonates to ensure their safety during the COVID-19 pandemic. The established protocols and procedures can serve as a valuable reference for other healthcare facilities seeking to enhance their pandemic prevention and control strategies in gynecology and obstetrics settings.

CNN-LSTM Hybrid Model to Promote Signal Processing of Ultrasonic Guided Lamb Waves for Damage Detection in Metallic Pipelines.

The ultrasonic guided lamb wave approach is an effective non-destructive testing (NDT) method used for detecting localized mechanical damage, corrosion, and welding defects in metallic pipelines. The signal processing of guided waves is often challenging due to the complexity of the operational conditions and environment in the pipelines. Machine learning approaches in recent years, including convolutional neural networks (CNN) and long short-term memory (LSTM), have exhibited their advantages to overcome these challenges for the signal processing and data classification of complex systems, thus showing great potential for damage detection in critical oil/gas pipeline structures. In this study, a CNN-LSTM hybrid model was utilized for decoding ultrasonic guided waves for damage detection in metallic pipelines, and twenty-nine features were extracted as input to classify different types of defects in metallic pipes. The prediction capacity of the CNN-LSTM model was assessed by comparing it to those of CNN and LSTM. The results demonstrated that the CNN-LSTM hybrid model exhibited much higher accuracy, reaching 94.8%, as compared to CNN and LSTM. Interestingly, the results also revealed that predetermined features, including the time, frequency, and time-frequency domains, could significantly improve the robustness of deep learning approaches, even though deep learning approaches are often believed to include automated feature extraction, without hand-crafted steps as in shallow learning. Furthermore, the CNN-LSTM model displayed higher performance when the noise level was relatively low (e.g., SNR = 9 or higher), as compared to the other two models, but its prediction dropped gradually with the increase of the noise.

Deep Learning Empowered Structural Health Monitoring and Damage Diagnostics for Structures with Weldment via Decoding Ultrasonic Guided Wave.

Welding is widely used in the connection of metallic structures, including welded joints in oil/gas metallic pipelines and other structures. The welding process is vulnerable to the inclusion of different types of welding defects, such as lack of penetration and undercut. These defects often initialize early-age cracking and induced corrosion. Moreover, welding-induced defects often accompany other types of mechanical damage, thereby leading to more challenges in damage detection. As such, identification of weldment defects and interaction with other mechanical damages at their early stage is crucial to ensure structural integrity and avoid potential premature failure. The current strategies of damage identification are achieved using ultrasonic guided wave approaches that rely on a change in physical parameters of propagating waves to discriminate as to whether there exist damaged states or not. However, the inherently complex nature of weldment, the complication of damages interactions, and large-scale/long span structural components integrated with structure uncertainties pose great challenges in data interpretation and making an informed decision. Artificial intelligence and machine learning have recently become emerging methods for data fusion, with great potential for structural signal processing through decoding ultrasonic guided waves. Therefore, this study aimed to employ the deep learning method, convolutional neural network (CNN), for better characterization of damage features in terms of welding defect type, severity, locations, and interaction with other damage types. The architecture of the CNN was set up to provide an effective classifier for data representation and data fusion. A total of 16 damage states were designed for training and calibrating the accuracy of the proposed method. The results revealed that the deep learning method enables effectively and automatically extracting features of ultrasonic guided waves and yielding high precise prediction for damage detection of structures with welding defects in complex situations. In addition, the effectiveness and robustness of the proposed methods for structure uncertainties using different embedding materials, and data under noise interference, was also validated and findings demonstrated that the proposed deep learning methods still exhibited a high accuracy at high noise levels.

Description of Azotobacter chroococcum subsp. isscasi subsp. nov. isolated from paddy soil and establishment of Azotobacter chroococcum subsp. chroococcum subsp. nov.

Three aerobic, asymbiotic, N2-fixing bacterial strains, designated P205T, P204 and P207, were isolated from a paddy soil in Yanting County, China. Based on 16S rRNA gene sequences, the three strains were closely related to Azotobacter chroococcum IAM 12666T (=ATCC 9043T) (99.00-99.79 % similarities). Strain P205T formed an individual branch distinct from the other two newly isolated strains and other related type strains in phylogenetic analyses based on 16S rRNA gene and 92 core genes. The average nucleotide identity (ANI), average amino acid identity (AAI) and digital DNA-DNA hybridization (dDDH) values based on genome sequences of strain P205T and A. chroococcum ATCC 9043T, P204, P207 were near or slightly higher than the thresholds for species circumscription (95-96, 95-96 and 70 %, respectively), and the dDDH values were significantly lower than the threshold for delineating subspecies (79-80 %), which strongly supported that strain P205T belonged to A. chroococcum but was a novel subspecies distinct from the type strain of A. chroococcum. This finding was further corroborated by distinct phenotypic characteristics such as growth in Luria-Bertani (LB) medium, carbon source utilization and chemical sensitivity to vancomycin. Therefore, strain P205T represents a novel subspecies of Azotobacter chroococcum, for which the name Azotobacter chroococcum subsp. isscasi subsp. nov. is proposed with the type strain P205T (=KCTC 72233T=CGMCC 1.16846T=CCTCC AB 2019080T). The subspecies Azotobacter chroococcum subsp. chroococcum subsp. nov. is created automatically with the type strain ATCC 9043T (=DSM 2286T=JCM 20725T=JCM 21503T=LMG 8756T=NBRC 102613T=NCAIM B.01391T=NRRL B-14346T=VKM B-1616T).

Translationally controlled tumor protein exerts a proinflammatory role in acute rejection after liver transplantation.

BACKGROUND: Translationally controlled tumor protein (TCTP), which has been verified to have a proinflammatory activity, plays an important role in allergy. However, it remains unclear whether TCTP has an impact on the acute rejection (AR) after liver transplantation. METHODS: Three protocols were used to delineate the role of TCTP in AR after liver transplantation. First, in rat orthotopic liver transplantation (OLT), the expression of TCTP was measured by enzyme-linked immunosorbent assay (ELISA), real-time PCR, Western blot and immunofluorescence assays. Second, in mixed lymphocyte reaction (MLR), the role of TCTP in lymphocyte proliferation was measured by carboxyfluorescein succinimidyl ester (CFSE) labeling and the impact of TCTP on inflammatory factor release was detected by cytokine arrays. Third, in human OLT, the level of serum TCTP was detected by ELISA, and the relationship between TCTP and model for early allograft function (MEAF) score was assessed by Spearman's correlation. RESULTS: In rat OLT, AR resulted in great harm to allografts, manifesting as deterioration of liver function, increasing inflammatory factors and infiltrating lymphocytes. Meanwhile, TCTP was overexpressed in serum and allografts. Higher level of TCTP was associated with higher rejection activity index (RAI). In an MLR protocol, TCTP knockdown inhibited the proliferation of mixed inflammatory cells and significantly suppressed the release of 15 cytokines and chemokines. In human OLT, the serum TCTP was up-regulated within a week after operation. Additionally, the increasing speed of serum TCTP positively correlated with MEAF scores (r = 0.449; P = 0.0088). CONCLUSIONS: Up-regulated TCTP positively affects AR after liver transplantation.

Machine Learning-Enriched Lamb Wave Approaches for Automated Damage Detection.

Lamb wave approaches have been accepted as efficiently non-destructive evaluations in structural health monitoring for identifying damage in different states. Despite significant efforts in signal process of Lamb waves, physics-based prediction is still a big challenge due to complexity nature of the Lamb wave when it propagates, scatters and disperses. Machine learning in recent years has created transformative opportunities for accelerating knowledge discovery and accurately disseminating information where conventional Lamb wave approaches cannot work. Therefore, the learning framework was proposed with a workflow from dataset generation, to sensitive feature extraction, to prediction model for lamb-wave-based damage detection. A total of 17 damage states in terms of different damage type, sizes and orientations were designed to train the feature extraction and sensitive feature selection. A machine learning method, support vector machine (SVM), was employed for the learning model. A grid searching (GS) technique was adopted to optimize the parameters of the SVM model. The results show that the machine learning-enriched Lamb wave-based damage detection method is an efficient and accuracy wave to identify the damage severity and orientation. Results demonstrated that different features generated from different domains had certain levels of sensitivity to damage, while the feature selection method revealed that time-frequency features and wavelet coefficients exhibited the highest damage-sensitivity. These features were also much more robust to noise. With increase of noise, the accuracy of the classification dramatically dropped.

Studies on genome size estimation, chromosome number, gametophyte development and plant morphology of salt-tolerant halophyte Suaeda salsa.

BACKGROUND: Soil salinization and alkalization are among the major agricultural threats that affect crop productivity worldwide, which are increasing day by day with an alarming rate. In recent years, several halophytes have been investigated for their utilization in soil remediation and to decipher the mechanism of salt-tolerance in these high salt tolerant genetic repositories. Suaeda salsa is an annual halophytic herb in the family Amaranthaceae, displaying high salt and alkali-resistance and having nutritive value. However, the fundamental biological characteristics of this valuable plant remain to be elucidated until today. RESULTS: In this study, we observed the morphology and development of Suaeda salsa, including seed morphology, seed germination, plant morphology, and flower development. Using microscopy, we observed the male and female gametophyte developments of Suaeda salsa. Also, chromosome behaviour during the meiosis of male gametophyte was studied. Eventually, the genome size of Suaeda salsa was estimated through flow cytometry using Arabidopsis as reference. CONCLUSIONS: Our findings suggest that the male and female gametophyte developments of Suaeda salsa are similar to those of the model plant Arabidopsis, and the diploid Suaeda salsa contains nine pairs of chromosomes. The findings also indicate that the haploid genome of Suaeda salsa is approximately 437.5 MB. The observations and results discussed in this study will provide an insight into future research on Suaeda salsa.

Biochar application as a tool to decrease soil nitrogen losses (NH3 volatilization, N2 O emissions, and N leaching) from croplands: Options and mitigation strength in a global perspective.

Biochar application to croplands has been proposed as a potential strategy to decrease losses of soil-reactive nitrogen (N) to the air and water. However, the extent and spatial variability of biochar function at the global level are still unclear. Using Random Forest regression modelling of machine learning based on data compiled from the literature, we mapped the impacts of different biochar types (derived from wood, straw, or manure), and their interactions with biochar application rates, soil properties, and environmental factors, on soil N losses (NH3 volatilization, N2 O emissions, and N leaching) and crop productivity. The results show that a suitable distribution of biochar across global croplands (i.e., one application of <40 t ha-1 wood biochar for poorly buffered soils, such as those characterized by soil pH<5, organic carbon<1%, or clay>30%; and one application of <80 t ha-1 wood biochar, <40 t ha-1 straw biochar, or <10 t ha-1 manure biochar for other soils) could achieve an increase in global crop yields by 222-766 Tg yr-1 (4%-16% increase), a mitigation of cropland N2 O emissions by 0.19-0.88 Tg N yr-1 (6%-30% decrease), a decline of cropland N leaching by 3.9-9.2 Tg N yr-1 (12%-29% decrease), but also a fluctuation of cropland NH3 volatilization by -1.9-4.7 Tg N yr-1 (-12%-31% change). The decreased sum of the three major reactive N losses amount to 1.7-9.4 Tg N yr-1 , which corresponds to 3%-14% of the global cropland total N loss. Biochar generally has a larger potential for decreasing soil N losses but with less benefits to crop production in temperate regions than in tropical regions.

Ganoderma (Lingzhi) in Traditional Chinese Medicine and Chinese Culture.

Shen Nong Ben Cao Jing (Shennong Materia Medica) and many other books in early Chinese history began to study, discuss, and report the scientific aspects of Ganoderma (Lingzhi) in respect to its categorization, habitat, bionomics, herbal nature, medication, etc. At the same time, incorrect or unsubstantiated information continues to be weeded out and updated. Shennong Materia Medica have been frequently referred in literature and used for further research and applications. Present chapter reviews the history of modern research on Ganoderma (Lingzhi) since 1950s.Historically, Lingzhi has been viewed as a magic herb as well as an auspicious symbol by the Chinese. It is, therefore, also known as "Ruizhi," "Shenzhi," and "Xiancao," with the meaning of good fortune and mysterious power. Taoism played an important role in promoting Lingzhi for either medical purposes or otherwise. Numerous myths and poems mentioning people's love, worshipping, and beliefs on Lingzhi can be found in the Chinese literature since ancient times.

Immunomodulating Effect of Ganoderma (Lingzhi) and Possible Mechanism.

Ganoderma (Lingzhi) has been used for a long time in China to prevent and treat various diseases. Accumulated studies have demonstrated that the Ganoderma modulates immune function both in vivo and in vitro. The immunomodulating effects of Ganoderma were extensive, including promoting the innate immune function, humoral immunity, and cellular immunity. In particular, G. lucidum polysaccharides may affect immune cells and immune-related cells including B and T lymphocytes, dendritic cells, macrophages, and natural killer cells, with the promotion of immune organ growth, cytokine release, and other immune regulatory functions. Furthermore, cellular and molecular immunomodulatory mechanisms, possible receptors involved, and triggered signaling pathways have also been summarized. However, whole animal experiments are still needed to further establish the mechanism of the immunomodulating effects by Ganoderma. Importantly, evidence-based clinical trials are also needed.

Antitumor Effect of Ganoderma (Lingzhi) Mediated by Immunological Mechanism and Its Clinical Application.

The antitumor effect of Ganoderma (Lingzhi) is closely related to immunoregulation. Based on our research and other references, this article discussed the antitumor effect of Ganoderma mediated by immunological mechanism, including promoting the function of mononuclear-macrophages and natural killers; promoting M1-type macrophage polarization vs M2-type; promoting maturation and differentiation of dendritic cells, increasing its antigen presentation, activating lymphocytes and increasing cytotoxicity of cytotoxin T lymphocyte; promoting production of cytokines; and inhibiting tumor escape from immune surveillance. Also, clinical studies with immunological indexes were reviewed.

Antioxidative and Free Radical Scavenging Activity of Ganoderma (Lingzhi).

This article reviewed the antioxidative effect and free radical scavenging activity of Ganoderma lucidum (G. lucidum, Lingzhi). G. lucidum has apparent protective effects against the lipid peroxidation caused by a variety of factors in the brain, heart, pancreas, liver, gastrointestinal, kidney, and other vital organs. G. lucidum can significantly reduce the content of lipid peroxidation product such as malondialdehyde (MDA) and lipofuscin and can enhance the activities of antioxidative enzymes, such as superoxide dismutase (SOD), glutathione peroxidase (GSH-P), and other antioxidative enzymes. In macrophages (mouse), islet cells (mouse), cerebral cortex cells (rat), pheochromocytoma cells (PC12 cells, rat), vascular endothelial cells (rat, human), and keratinocytes (human), G. lucidum has significant protective effect against the oxidant-induced oxidative damage. Antioxidative effect and free radical scavenging activity of G. lucidum on different animal models in vivo and in vitro may be related to its pharmacological mechanism of immunomodulating, antitumor, antihypertensive, hypoglycemic, brain-protective, liver-protective, cardiovascular-protective, renal-protective, and antiaging effects.

Anti-aging Effect of Ganoderma (Lingzhi) with Health and Fitness.

Although Ganoderma (Lingzhi in Chinese) has been used as an elixir for thousands of years, its anti-aging effects still need to be clarified. Aging is related to immunoregulation, oxidation stress, and free radical product. Till now, Ganoderma exert life span elongation activities by inhibiting ROS production, lipid peroxidation, and advanced oxidation protein products; increasing production of mitochondrial electron transport complexes, SOD, CAT, GSH and GSH-Px, DPPH, and ABTS radical scavenger activities; and having immunomodulatory and antioxidant activity by increasing radical scavenging activity and ferric reducing antioxidant power. Ganoderma's anti-aging effect on human remains a mystery, and its potential mechanisms underlying anti-aging effect for its clinical application still need to be elucidated.

Development and Innovation of Ganoderma Industry and Products in China.

Ganoderma (Lingzhi) has been used as a medicinal mushroom to promote health in China for more than 2000 years. The modern research and development of Ganoderma industry started from the 1950s, in which the successful cultivation of Ganoderma fruiting body and submerged fermentation of Ganoderma mycelium lay the critical foundation for the industry development. Recent decades have witnessed the rapid development of Ganoderma industry, which is boosted through various efforts made by the government, the academia, and the industry. In this chapter, the development of Ganoderma industry in China is reviewed in terms of gross output, standards, scientific articles, patents, and associations. In addition, development of Ganoderma products and manufacturing technologies are also overviewed and summarized. In the last section, several innovation trends are suggested for the further development of Ganoderma industry.

The impact of high-speed railway on tourism spatial structures between two adjoining metropolitan cities in China: Beijing and Tianjin.

This study examines the impact of HSR services on the tourism spatial interactions between Beijing and Tianjin in China. Data were collected from official statistical reports. A method of derivation was developed and several indexes, such as tourism mean center, and tourism standard distance are further applied to measure temporal-spatial changes between the two adjoining cities. The results reveal the dynamic tourism spatial interaction between Beijing and Tianjin has been influenced by a range of factors including population, destination attractiveness, disposable income and income elasticity, changes in the domestic and international spatial structure of tourist flows and how destination management organizations react to the changes. The study has implications for both the research and practice of city transportation and tourism development.

Ganoderma Lucidum Polysaccharide Peptide Alleviates Hepatoteatosis via Modulating Bile Acid Metabolism Dependent on FXR-SHP/FGF.

BACKGROUND/AIMS: Non-alcoholic fatty liver disease (NAFLD) encompasses a series of pathologic changes ranging from steatosis to steatohepatitis, which may progress to cirrhosis and hepatocellular carcinoma. The purpose of this study was to determine whether ganoderma lucidum polysaccharide peptide (GLPP) has therapeutic effect on NAFLD. METHODS: Ob/ ob mouse model and ApoC3 transgenic mouse model were used for exploring the effect of GLPP on NAFLD. Key metabolic pathways and enzymes were identified by metabolomics combining with KEGG and PIUmet analyses and key enzymes were detected by Western blot. Hepatosteatosis models of HepG2 cells and primary hepatocytes were used to further confirm the therapeutic effect of GLPP on NAFLD. RESULTS: GLPP administrated for a month alleviated hepatosteatosis, dyslipidemia, liver dysfunction and liver insulin resistance. Pathways of glycerophospholipid metabolism, fatty acid metabolism and primary bile acid biosynthesis were involved in the therapeutic effect of GLPP on NAFLD. Detection of key enzymes revealed that GLPP reversed low expression of CYP7A1, CYP8B1, FXR, SHP and high expression of FGFR4 in ob/ob mice and ApoC3 mice. Besides, GLPP inhibited fatty acid synthesis by reducing the expression of SREBP1c, FAS and ACC via a FXR-SHP dependent mechanism. Additionally, GLPP reduced the accumulation of lipid droplets and the content of TG in HepG2 cells and primary hepatocytes induced by oleic acid and palmitic acid. CONCLUSION: GLPP significantly improves NAFLD via regulating bile acid synthesis dependent on FXR-SHP/FGF pathway, which finally inhibits fatty acid synthesis, indicating that GLPP might be developed as a therapeutic drug for NAFLD.

Overexpressing PRMT1 Inhibits Proliferation and Invasion in Pancreatic Cancer by Inverse Correlation of ZEB1.

Pancreatic cancer (PC) is one of the most malign human cancers, with its underlying molecular mechanisms largely unknown. In this work, we investigated the mechanistic role of protein arginine methyltransferase 1 (PRMT1) gene in PC. Expression of PRMT1 in immortal PC cell lines and clinical human PC tumors was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) and western blot. In PANC-1 and SW1990 cells, PRMT1 was either downregulated by lentiviral-mediated short hairpin RNA (shRNA) or upregulated by overexpression plasmid. The effects of PRMT1 downregulation or upregulation on PC proliferation and invasion in vitro, and xenograft in vivo, were evaluated. Gene expression of PRMT1 downstream target, zinc finger E-box binding homeobox 1 (ZEB1) was measured in PRMT1-downregulated PC cells. ZEB1 was also upregulated in PRMT1-downregulated PC cells to evaluate its functional role in PRMT1-mediated regulation in PC. PRMT1 was downregulated in both PC cell lines and human tumors. PRMT1 downregulation in PANC-1 and SW1990 cells significantly suppressed cancer proliferation and invasion in vitro and xenograft in vivo. However, PRMT1 overexpression did not have function impact in PC cells. ZEB1 gene expression was suppressed in PRMT1-downregulated PC cells. Subsequently, overexpressing ZEB1 reversed the antitumor effects of PRMT1 downregulation in PC cells. PRMT1 was aberrantly upregulated in PC. PRMT1 inhibition, possibly inversely acting through ZEB1, might be an effective molecular intervention to inhibit PC growth and invasion. © 2018 IUBMB Life, 70(10):1032-1039, 2018.

Increased innate type 2 immune response in house dust mite-allergic patients with allergic rhinitis.

Group 2 innate lymphoid cells (ILC2s) are essential in initiating and driving allergic immune responses. However, there were inconsistent findings of the ILC2 levels in allergic rhinitis (AR) patients. This study investigated the ILC2 levels in the peripheral blood of house dust mite (HDM)-sensitized AR patients and their ability to secrete type 2 cytokines. The levels of ILC2s with phenotypic ILC2 characteristics were increased in the HDM-AR patients. The AR patients' symptom score and IL-13 levels were positively associated with the ILC2s in HDM-AR patients. The epithelial cytokine stimulation induced dramatic production of IL-5 and IL-13 in PBMCs of AR patients. We successfully sorted ILC2s from AR patients and identified their ability of type 2 cytokines production. The number of ILC2s increased in the HDM-AR patients and ILC2s produced the amount of TH2 cytokines in the presence of epithelial cytokines, which suggested the important role of ILC2 in AR patients.

Immune responses to different patterns of exposure to ovalbumin in a mouse model of allergic rhinitis.

Allergic rhinitis (AR) has been a significant healthcare burden on individuals and society. However, the detailed effect of different patterns of allergen exposure on the development of AR remains controversial. A mouse model of AR was established to address the complex relationships between allergen exposure and the development of AR. Allergic symptom, OVA-specific IgE in serum and nasal lavage fluid, allergic inflammation in nasal tissues were evaluated after intranasal sensitization and challenge of ovalbumin (OVA) in mice treated with two different doses of allergen for different sensitized durations. Exposure to different doses and sensitized durations of OVA were capable of inducing allergic nasal response. Repetitive OVA exposure in the sensitization phase induced the recruitment of eosinophils and goblet cell hyperplasia. The level of OVA-specific IgE in serum depended on OVA exposure and was mediated in a duration-related manner. In addition, mice treated with low-dose OVA for prolonged duration manifested the major features of human local allergic rhinitis. There were dose- and duration-related effects of allergen exposure on the development of AR. LAR was associated with repetitive exposure to low-dose allergen. Thus, allergen avoidance should be an important aim of AR management.