Introduction

Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are life-threatening lung diseases, and severe sepsis is one of the most important factors in causing the above diseases. However, it is not the only trigger that leads to ALI and ARDS. Factors such as severe bacterial pneumonia, trauma, exposition to injurious mechanical ventilation, and capillary endothelial cell damage are caused. ALI is associated with acute and severe inflammation that disrupts the endothelial and epithelial barriers of the lung. Alveolar-capillary membrane damage, pulmonary edema, neutrophil-induced inflammation, and perfusion-ventilation mismatch ultimately reduce lung compliance and cause profound hypoxemia and may lead to loss of lung function [1, 2]. However, drug treatments are not available to improve patients’ conditions. ALI has a high prevalence and the mortality rate is alarmingly high in the critically ill patient population. Treatment of acute lung injury is based on both ventilatory and nonventilatory strategies [3]. The results of several clinical trials have shown that pharmaceutical strategies are not effective in reducing mortality. But the use of ventilators for management in supportive care of lung injury patients has been very effective [4]. A ventilator is a lifesaving feature in the treatment of critically ill patients. The purpose of ventilators is to ensure sufficient gas exchange while taking over the work of breathing during the resolution of the underlying disease that caused respiratory failure. Unfortunately, MV can lead to excessive mechanical strain on lung tissues causing damage to them, especially in patients already suffering from lung diseases [5]. To date, the most significant advances in supportive care for lung injury patients have been related to improved ventilator management. Recent advances in understanding the pathophysiology of ALI have led to research into several potential drug therapies. Despite previous encouraging clinical evidence, pre-clinical have not confirmed the use of statins, beta-agonists, non-steroidal anti-inflammatory drugs, antioxidants, exogenous surfactants, neutrophil elastase inhibitors, anticoagulants, anti-TNF biologics, etc., as a treatment for ALI [6]. Therefore, an urgent need remains for the development of novel therapeutic strategies with minimal side effects.

Alveolar epithelial cell death, inflammation, and oxidative stress are typical features of ALI. These cytokines are thought to play an important role in ALI. In ALI, neutrophils and macrophages infiltrate the lung tissue and secrete cytokines that stimulate regional pro-inflammatory cascades. Inflammatory factors lead to irreversible damage to the lung epithelium [6]. Nuclear factor-kappa B (NF-κB) is a nuclear transcription factor that regulates inflammatory processes. NF-κB is required for maximal transcription of multiple cytokines, including tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) [7]. Therefore, it has been suggested that NF-κB function inhibitors may be useful as anti-inflammatory agents [8]. The results of a study showed that a neutrophil membrane-coated liposome-loaded acidic fibroblast growth factor has pro-inflammatory cytokine binding capabilities and can promote cellular uptake, substantially attenuate inflammatory responses, and enhance cellular antioxidant capacity [6]. The damage induced by free radicals is an important etiological factor related to many diseases. Since oxidative stress is the main cause of ALI-induced cytotoxicity in the lung, it seems that substances with their antioxidant properties can be a suitable approach for the treatment of ALI-induced toxicity [9]. Some studies have shown that antioxidant enzymes (AOEs) including superoxide dismutase (SOD), catalase, and glutathione peroxidase (GPx) can protect tissue against oxidative damage [10, 11].

Flavonoids are secondary metabolites that have extensive metabolic functions in plants. They are widely distributed in fruits, flowers, seeds, vegetables, and in both legumes and non-legumes. They have a variety of medicinal activities, acting as anti-cancer, antioxidant, and anti-inflammatory agents [12,13,14]. In recent years, quercetin has attracted increasing attention due to its anti-inflammatory and anti-oxidation effects in cell models. It can suppress the ongoing oxidative stress, acute inflammation, and cytokine storm, which can increase animal survival rate and improve lung edema and pathological symptoms [15]. To elucidate the anti-inflammatory and antioxidant activities of quercetin, we conducted a systematic review and meta-analysis in ALI-induced rats.

Main text

Literature search

This study was conducted based on the Preferred Reporting Method for Systematic Review and Meta-Analysis (PRISMA) [16]. We searched PubMed, EMBASE, Scopus, Web of Science, and Google Scholar databases from June 30, 2017, to August 30, 2022. The systematic search has used the following keywords: “Acute lung injury” OR “lung injury” OR “acute respiratory distress syndrome “OR “ALI” OR “ARDS” OR “lung disease” OR “respiratory failure” OR “Chronic obstructive pulmonary disease” OR “COPD” OR “Idiopathic pulmonary fibrosis” OR “IPF”) AND (“Quercetin” OR “4 3,3′,4′,5,7-pentahydroxy-2-phenylchromen-4-one”) AND (“pro-inflammatory” OR “anti-inflammatory“ OR “oxidative stress”). We also looked at the references of some related articles, especially the referenced articles. In addition, the references of all related articles and the articles that were referred to were checked manually to find relevant studies. The full text of the selected articles was evaluated for an additional and independent analysis. This is a systematic review and meta-analysis of previous studies, so there was no need for ethical approval or patient consent.

Selection criteria

Studies with the following appropriate standards were included in this analysis: All research articles in English, studies that focused on ALI models in rats, studies that examined the effects of quercetin administration on oxidative stress in ALI models, studies that examined the effects of quercetin administration on inhibition of inflammatory responses in ALI models, and (D) studies that looked at specific concentrations of quercetin. Studies were excluded with the following criteria: human experiments, cell culture experiments, animal studies other than rats, duplicate studies, review articles, case report studies, and conference abstracts. We excluded studies that did not provide us with enough information and articles that were not in English.

Data extraction

We used EndNote software (version X8, Thomson Reuters, USA) to review the literature and removed duplicate articles. Then, two authors separately checked the title and abstract of the searched articles. Disputes between the two evaluators were referred to a third party. Articles that did not meet the eligibility criteria were excluded. The following data were extracted from each eligible article: the first author, year of publication, number of cases and controls, how the ALI animal model was created, age/weight, quercetin drug prescription type, changes in oxidative stress levels in the ALI model rat (cases and controls), changes in levels of inflammatory factors in the ALI model rat (cases and controls), effects of quercetin on levels of inflammatory factors, and oxidative stress in the ALI model.

Quality assessment

The quality of included studies was assessed based on Hayden et al. guidelines for evaluating quality in prognostic studies [17].

Statistical analysis

Statistical analyses were performed using Comprehensive Meta-Analysis V3 (Biostat, Inc., USA and the UK). We used levels of inflammatory factors and oxidative stress with the appropriate 95% CI to measure the effect size of the studies, and two-sided (bilateral) p values of 0.05 were considered significant. Mixed effects analysis A random effects model is used to combine studies within each subgroup. A fixed effect model is used to combine subgroups and yield the overall effect. The study-to-study variance (tau-squared) is assumed to be the same for all subgroups—this value is computed within subgroups and then pooled across subgroups. The Egger’s and Begg’s tests were performed to evaluate the probability of the publication bias [18].

Results

Study identification and selection

The steps for identifying and selecting literature are given in (Fig. 1). We identified 221 potentially related records in the initial systematic search. After initial screening, 154 duplicated studies were excluded. Titles and abstracts of studies were conducted to examine eligibility criteria and 47 studies were excluded. The full text of the remaining 22 records was evaluated and 15 articles were deleted. The remaining 9 eligible articles were briefly evaluated and included in the study [15, 19,20,21,22,23,24,25,26]. The total sample size was 343 rats. Table 1 aims to summarize the main features of the included studies.

Fig. 1
figure 1

Flowchart for selection of studies

Table 1 Specifications of the articles that were reviewed

Study characteristics

All nine of the studies included were case-control studies. These articles were published between 2017 to 2022. The studies were published in Europe (4 articles; Şengül [27], Boots [19], Tiboc-Schnell [20], Ileriturk [21]), African (1 article; Oka [22]), East Asia (1 article; Chen [15]), North America (1 article; Farazuddin [23]) and South American (2 articles; Maturu [24], da Silva Araújo [25]) populations. Sample sizes ranged from 6 (Boots [19]) to 50 (Şengül [27], Tiboc-Schnell [20]). Cyclophosphamide [27], rhinovirus [23], oxygen exposure [24], amiodarone [22], bleomycin [19], LPS [20], cigarette smoke [25], cypermethrin [21], and paraquat [15] were used to create models of the rat model of ALI. In all studies, changes in levels of inflammatory agents and oxidative stress in ALI rats were measured and changes were examined after apigenin administration [15, 19,20,21,22,23,24,25, 27]. Inflammatory factors TNF-α [15, 19,20,21, 23], IFN-α and IFN-β [23], IL-1β [15, 19,20,21], IL-6 [20, 21], and IL-17a [19, 23] were measured by ELISA. The activities of superoxide dismutase (SOD) [19, 25, 27], glutathione peroxidase (GSH) [25, 27], MDA [15, 19,20,21, 24, 27], and catalase (CAT) [15, 19, 22, 25] in the lung tissue were measured by ELISA.

Quality assessment

Based on the quality assessment form, we entered them all because the overall quality score of the studies was acceptable.

Quercetin and inflammation

Figure 2 shows the results of the correlation coefficient, lower and upper bound statistics, and Z value and P value significance statistics for each of the inflammatory factors after treatment with quercetin. Quercetin reduces inflammatory factors in the rat model of ALI, which was seen as a direct correlation between quercetin and a decrease in inflammatory factors (correlation: 0.635; 95% CI, 0.560–0.699, P value = 0.000, Z value= 12.648). Quercetin reduces inflammatory factors, including TNF-α, IFN-α, NF-κB, IL-1β, and IL-17a in rat ALI model, which are statistically significant (P< 0.001, Z> 2). But it was not statistically significant for IL-6 (P= 0.995, Z= 0.057).

Fig. 2
figure 2

Funnel plot of the correlation of quercetin and inflammation. Forest plot of the meta-analysis for estimating the correlation and 95% CIs for the inflammatory agents in the intervention group, compared with that in the control group (correlation: 0.635; 95% CI, 0.560–0.699, P value = 0.000, Z value= 12.648).

Quercetin and oxidative stress

Figure 3 shows the results of the correlation coefficient, lower and upper bound statistics, and Z value and P value significance statistics for each of the oxidative stress after treatment with quercetin. Quercetin reduces oxidative stress factors in the rat model of ALI, which was seen as a direct correlation between quercetin and a decrease in oxidative stress factors (correlation: 0.317; 95% CI, 0.189–0.434, P value = 0.00, Z value= 4.7). Six studies (4 sub-studies) were included in the fixed-effect model (I2=0.0%). The pooled correlation coefficient was estimated to be 0.317, which was statistically significant (P<0.0001), as shown in Fig. 3. Quercetin reduces oxidative stress factors, including CAT, SOD, MDA, GSH, and GSTs in rat ALI model, which are statistically significant (P< 0.001, Z> 2).

Fig. 3
figure 3

Funnel plot of the correlation of quercetin and oxidative stress. Forest plot of the meta-analysis for estimating the correlation and 95% CIs for the oxidative stress s in the intervention group, compared with that in the control group (correlation: 0.317; 95% CI, 0.189–0.434, P value = 0.00, Z value= 4.7)

Discussion

ALI/ARDS is characterized by severe alveolar inflammation, alveolar-capillary membrane damage, and pulmonary edema. Cytokines, as well as inflammatory factors, initiate, strengthen, and perpetuate the inflammatory response in acute lung injury. Inflammatory reactions in acute lung injury are caused by the release of pro-inflammatory cytokines from neutrophils that accumulate at the site of injury. Proinflammatory cytokines such as TNF-α, IL-6, and IL-1β are known as early indicators of inflammation and lead to lung damage by inducing acute phase reactions [26, 28]. TNF-α is one of the first inflammatory factors for the inflammatory reaction, which is mainly produced by monocytes/macrophages and induces the production of other cellular factors such as IL-6 by damaging vascular endothelial cells [29]. Quercetin has been noted for its anti-inflammatory and antioxidant properties [30]. The results of a study showed that quercetin pretreatments reduced tissue damage in mice with LPS-induced lung damage and reduced lactate production, which was associated with reduced release of pro-inflammatory cytokines [31]. Idiopathic pulmonary fibrosis (IPF) patients have significantly reduced endogenous antioxidant defenses, as shown by reduced total antioxidant capacity and reduced levels of glutathione and uric acid compared to healthy subjects. This confirms that the redox balance is disturbed in IPF. Quercetin reduces the production of pro-inflammatory cytokines IL-8 and TNFα in IPF patients and healthy subjects; however, the anti-inflammatory effect was more pronounced in IPF patients. In bleomycin-stimulated BEAS-2B cells, quercetin was found to enhance the antioxidant response by increasing Nrf2 activity and reducing the production of pro-inflammatory cytokines in a concentration-dependent manner [32]. Cyclophosphamide [27], rhinovirus [23], oxygen exposure [24], amiodarone [22], bleomycin [19], LPS [20], cigarette smoke [25], cypermethrin [21], and paraquat [15] were used to create models of the rat model of ALI. The results of our analysis showed quercetin reduces inflammatory factors, including TNF-α, IFN-α, NF-κB, IL-1β, and IL-17a in the rat ALI model, which are statistically significant (P< 0.001, Z> 2). But it was not statistically significant for IL-6 (P= 0.995, Z= 0.057). In the study of Oka and et al., they stated that the effect of quercetin on inflammatory factors was not statistically significant; however, they refused to highlight the inflammatory factors studied [22]. It seems that further studies to target pro-inflammatory factors in lung diseases with quercetin are more evident to achieve more accurate results. But what was obtained from the studies was the positive effect of this drug in animal models.

Reactive oxygen species (ROS) are involved in the activation of many proinflammatory cytokines produced in the acute inflammatory response of lung injury. It is known that the balance between oxidant and antioxidant enzymes causes oxidative damage in essential organ systems [33]. MDA is one of the most effective and comprehensive indicators of oxidative stress. MDA levels fluctuate in many diseases, including cardiovascular disease and neurological diseases [34, 35]. Oxidative damage plays an important role in ALI. Some enzymes, such as SOD and GSH-Px, protect cells from damage by oxygen-derived free radicals. SOD is an enzyme that is widely used as a biochemical indicator of pathological conditions associated with oxidative stress [36]. Quercetin reduces oxidative stress factors, including CAT, SOD, MDA, GSH, and GSTs in rat ALI model, which are statistically significant (P< 0.001, Z> 2). Our results support the reduction of oxidative stress factors under the influence of quercetin.

Conclusions

The aim of this study was to highlight the anti-inflammatory and antioxidant activities of quercetin in acute lung injury. We examined changes in cytokines, inflammatory mediators, and antioxidants after administration of quercetin in ALI models. The results of our study showed that quercetin can act as a protective agent by inhibiting inflammatory factors and reducing oxidative stress factors in ALI mouse models. It seems that quercetin alone cannot be a useful therapeutic strategy in mouse models of ALI. However, final conclusions about treatment efficacy should be investigated in prospective randomized controlled trials.