Analysis of Prevalence and Risk Factors of Adult Self-Reported Allergic Rhinitis and Asthma in Plain Lands and Hilly Areas of Shenmu City, China

The epidemiology of asthma in Mainland China: a systematic review and meta-analysis

BACKGROUND

Reliable estimates of asthma prevalence are essential for developing effective public health policies. However, discrepancies in published results have posed challenges for public health planning in China. To address this issue, we conducted this study to provide a comprehensive assessment of the epidemiology of asthma prevalence in China.

METHODS

We conducted a thorough systematic review across multiple databases including PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang Data, and Weipu database. The search was limited to studies published in either Chinese or English up to August 31, 2023, that reported on asthma prevalence in China. We extracted relevant study characteristics and performed meta-analyses. The study protocol was registered with PROSPERO (CRD42023397949).

RESULTS

A literature search yielded 192 studies that met the inclusion criteria out of 17,152 articles. The overall prevalence of asthma in Mainland China was found to be 2.20% (95% confidence interval, CI: 1.96-2.47%; I2 = 99.8%), with the prevalence of ever asthma at 2.21%, current asthma at 2.16%, ever asthma-like symptoms at 14.36%, and current asthma-like symptoms at 3.01%. Using a random-effects model, the prediction interval ranged from 0.44 to 10.27%. Meta-analysis subgroups indicated that men or children and the elderly generally have a higher prevalence of asthma. In addition, the prevalence of asthma is higher in urban areas and in the East China. The prevalence of asthma has been on the rise over the past three decades, from 0.69% in 1984 to 5.30% in 2021. Projections suggest that the prevalence could reach 9.76% by 2050 for the Chinese population.

CONCLUSIONS

Asthma remains less prevalent in China than in western countries, however its prevalence has been gradually increasing over the past thirty years. The disease burden shows notable variations based on sex, age, and geographic regions, indicating significant demographic and regional disparities. To guide decision-making priorities and direct future research, conducting high-quality epidemiological studies on asthma is crucial.

Three Artemisia pollens trigger the onset of allergic rhinitis via TLR4/MyD88 signaling pathway

OBJECTIVE

The prevalence of allergic rhinitis is high, making it a relatively common chronic condition. Countless patients suffer from seasonal Allergic rhinitis (AR). The objective of this investigation is to examine the potential involvement of common pollen allergens in seasonal allergic rhinitis, and study the proposed mechanism of Toll-like receptor 4 (TLR4)/Myeloid differentiation primary response gene 88 (MyD88) signaling pathway in the induction of AR.

METHOD

A mouse AR model (sensitized group) was constructed with pollen extracts and ovalbumin (OVA) of Artemisia annua (An), Artemisia argyi (Ar) and Artemisia Sieversiana (Si), and thereafter, AR symptom score was performed. After successful modeling, mouse serum and nasal mucosa tissues were extracted for subsequent experiments. The expression levels of immunoglobulin E (IgE), Interleukin (IL)-4, IL-5, IL-13 and Tumor Necrosis Factor-α (TNF-α) in serum were detected using Enzyme-linked immunosorbent assay (ELISA); Hematoxylin-eosin (H&E) staining methods were used to observe the pathological changes of the nasal mucosal tissue; Utilizing immunohistochemistry (IHC) staining, the expression levels of TLR4, MyD88 and Nuclear factor kappa B (NF-κB) p65 in mouse nasal mucosa were quantified; The mRNA and protein expression levels of TLR4, MyD88 and NF-κB p65 in nasal mucosa of sensitized mice were detected with Quantitative reverse transcription PCR (qRT-PCR) and Western Blot. Finally, the in vitro culture of Human nasal mucosal epithelial cells (HNEpC) cells was conducted, and cells were treated with 200 µg/ml Artemisia annua pollen extract and OVA for 24 h. Western Blot assay was used to detect the expression level of TLR4, MyD88 and NF-κB p65 proteins before and after HNEpC cells were treated with MyD88 inhibitor ST-2825.

RESULT

On the second day after AR stimulation, the mice showed obvious AR symptoms. H&E results showed that compared to the control group, the nasal mucosal tissue in the sensitized group was significantly more inflamed. Furthermore, ELISA assay showed increased expression levels of IgE, IL-4, IL-5, IL-13 and TNF-α in serum of mice induced by OVA and Artemisia annua pollen, Artemisia argyi pollen and Artemisia Sieversiana pollen than those of the control group. However, the expression level of IL-2 was lower than that of the control group (P < 0.05). Using Immunohistochemistry staining visually observed the expression levels of TLR4, MyD88 and NF-κB p65 in mouse nasal mucosa tissues and quantitatively analyzed. The expression levels of TLR4, MyD88 and NF-κB p65 in the sensitized group were higher than those in the control group, and the differences were statistically significant (P < 0.05). The results from qRT-PCR and Western Blot showed that the mRNA and protein expression levels of TLR4, MyD88 and NF-κB p65 in nasal mucosa of the sensitized group were significantly higher than those in the control group (P < 0.05). Finally, HNEpC cells were cultured in vitro and analyzed using Western Blot. The expression levels of TLR4, MyD88 and NF-κB p65 in OVA and An groups were significantly increased (P < 0.05). After ST-2825 treatment, TLR4 protein expression was significantly increased (P < 0.05) and MyD88 and NF-κB p65 protein expression were significantly decreased (P < 0.05).

CONCLUSION

To sum up, the occurrence and development of AR induced by OVA and pollen of Artemisia annua, Artemisia argyi and Artemisia Sieversiana were related to TLR4/MyD88 signal pathway.

Identifying the Risk Factors of Allergic Rhinitis Based on Zhihu Comment Data Using a Topic-Enhanced Word-Embedding Model: Mixed Method Study and Cluster Analysis

BACKGROUND

Allergic rhinitis (AR) is a chronic disease, and several risk factors predispose individuals to the condition in their daily lives, including exposure to allergens and inhalation irritants. Analyzing the potential risk factors that can trigger AR can provide reference material for individuals to use to reduce its occurrence in their daily lives. Nowadays, social media is a part of daily life, with an increasing number of people using at least 1 platform regularly. Social media enables users to share experiences among large groups of people who share the same interests and experience the same afflictions. Notably, these channels promote the ability to share health information.

OBJECTIVE

This study aims to construct an intelligent method (TopicS-ClusterREV) for identifying the risk factors of AR based on these social media comments. The main questions were as follows: How many comments contained AR risk factor information? How many categories can these risk factors be summarized into? How do these risk factors trigger AR?

METHODS

This study crawled all the data from May 2012 to May 2022 under the topic of allergic rhinitis on Zhihu, obtaining a total of 9628 posts and 33,747 comments. We improved the Skip-gram model to train topic-enhanced word vector representations (TopicS) and then vectorized annotated text items for training the risk factor classifier. Furthermore, cluster analysis enabled a closer look into the opinions expressed in the category, namely gaining insight into how risk factors trigger AR.

RESULTS

Our classifier identified more comments containing risk factors than the other classification models, with an accuracy rate of 96.1% and a recall rate of 96.3%. In general, we clustered texts containing risk factors into 28 categories, with season, region, and mites being the most common risk factors. We gained insight into the risk factors expressed in each category; for example, seasonal changes and increased temperature differences between day and night can disrupt the body's immune system and lead to the development of allergies.

CONCLUSIONS

Our approach can handle the amount of data and extract risk factors effectively. Moreover, the summary of risk factors can serve as a reference for individuals to reduce AR in their daily lives. The experimental data also provide a potential pathway that triggers AR. This finding can guide the development of management plans and interventions for AR.

Association between polymorphisms of the GSDMB gene and allergic rhinitis risk in the Chinese population: a case-control study

BACKGROUND

Allergic rhinitis (AR) is a great risk factor for developing asthma, and its pathogenesis is affected by various factors, such as gene and environment. GSDMB is related to allergic diseases. Our purpose is to explore the correlation of single nucleotide polymorphisms (SNPs) in GSDMB and AR risk in the Chinese population.

METHODS

We performed a case-control study including 1005 cases and 1004 controls. Rs2305479, rs4795400, and rs12450091 in GSDMB were geneotyped using Agena MassARRAY. The relationships between GSDMB SNPs and AR risk were assessed by logistic regression analysis in PLINK1.9.

RESULTS

Our study showed that rs4795400 was a protective factor for AR in overall (TT vs. CC: OR = 0.66, p = 0.009; TT vs. CC/TC: OR = 0.67, p = 0.008; additive: OR = 0.87, p = 0.042 males, people with BMI ≤ 24, and living in wind-blown sand area. Rs2305479 was associated with a reduced AR risk in males (TT vs. CC: OR = 0.47, p = 0.014; TT vs. CC/TC: OR = 0.43, p = 0.004). However, rs12450091 was a risk factor for AR in people living in the loess hilly region (CC: OR = 4.75, p = 0.047). The levels of EO and EO_per in the case group were significantly higher than those in the control group (p < 0.05).

CONCLUSION

This study indicated that GSDMB polymorphisms (rs4795400, rs2305479, and rs12450091) were associated with AR susceptibility. Further studies are required to confirm our findings and to clarify the functional relationship.

CLEC16A variants conferred a decreased risk to allergic rhinitis in the Chinese population

Background: Allergic rhinitis (AR) is a chronic respiratory disease. Hereditary factors played a key role in the pathogenesis of the AR. This study investigated the association between CLEC16A variants and AR risk in the Chinese population. Methods: We applied Agena MassARRAY technology platform to genotype five single nucleotide polymorphisms (SNPs) located in CLEC16A in 1004 controls and 995 cases. The association between CLEC16A SNPs (rs2286973, rs887864, rs12935657, rs11645657 and rs36045143) and AR risk were calculated by logistic regression analysis, with odds ratio (OR) and 95% confidence interval (CI). False-positive report probability (FPRP) was also used to assess the significant results to reduce false positives. Multifactor dimensionality reduction (MDR) was completed to assess the interaction between CLEC16A variants to predict AR risk. Results: Totally, CLEC16A (rs887864, rs12935657, rs2286973, rs11645657 and rs36045143) were significantly associated with AR risk. Therein, rs2286973, rs11645657 and rs36045143 were related to a decreased risk of AR in the people ≤ 43 years old, females and the people with BMI≤24, respectively. And rs887864 and rs12935657 were also associated with a decreased susceptibility of AR in the people >43 years old. Meanwhile, in the results of region stratification, rs887864 conferred a reduced risk to AR in the people from loess hilly area. Conclusion: CLEC16A variants conferred a decreased risk to AR in the Chinese population.