Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Libidibia ferrea (jucá) anti-inflammatory action: A systematic review of in vivo and in vitro studies

Abstract

Libidibia ferrea (Mart. ex Tul.) L. P. Queiroz (jucá) is a plant extensively used in the Brazilian folk medicine for the treatment of the inflammatory process. Primary studies have focused on the verification of these biological activities, highlighting the role of this plant in inflammatory conditions. This systematic review aimed to critically establish which part of the plant and what type of plant extract present the highest evidence of anti-inflammatory activity as in vivo and in vitro experimental models. This study has followed the recommendations by PRISMA and was registered in the PROSPERO database under number CRD42020159934. The literature review was carried out in several medical and scientific databases (Google Scholar, LILACS, ProQuest, PubMed, ScienceDirect, Scopus and Web of Science) in studies published up to February 2020 and updated on March 2021. No language restriction was made to this search. Eligibility criteria were adopted instead. The risk of bias was evaluated through SYRCLE’s RoB tool for the in vivo studies. 609 studies were initiated to identify the whole and the subsequent steps of screening. 13 studies remained in the results (10 in vivo and 3 in vitro). In most studies the risk of bias was low or unclear. The high risk of bias was related to the risk of attrition and reporting bias. The fruit and the aqueous extract were identified as the most used in the studies carried out on the qualitative analysis and the results of the in vivo and in vitro studies were conducive to the anti-inflammatory action, a meta-analysis could not be performed due to heterogeneity between studies and the potential risk of bias to estimate the side effects. Therefore, the implementation of in vivo studies following the international guidelines could collaborate with analyses of the anti-inflammatory effect of jucá.

Introduction

Libidibia ferrea (Mart. ex Tul.) L. P. Queiroz, popularly referred to as pau-ferro (Brazil) or jucá (Amazon region) [1], belongs to the Fabaceae family [2]. This is a native arboreal plant occurring throughout the North [3] and Northeast [2, 4, 5] of Brazil widely used as a medicinal plant.

Several published studies have demonstrated the medicinal properties assigned to L. ferrea basis related to the extensive use of this plant in folk medicine [6], cancer chemopreventive [4, 7], hepatoprotective and antioxidant [8], anti-whitening and antiwrinkle effects [9], antileishmanial activity [10], healing, gastroprotective, antioxidant and antiulcerogenic [11] as well as analgesic and anti-inflammatory properties [12].

As described above, many studies have been conducted with L. ferrea in order to verify and confirm its biological properties. Among these studies, some have been performed in in vivo models [9, 12] and in vitro models [4]. Thus, aiming at implementing future research with less waste of resources and more optimization of time, retrospective, and systematic research help in providing the methodologies employed and results obtained.

This systematic review intends to organize and analyze scientific evidence of anti-inflammatory actions by Libidibia ferrea or Caesalpinia ferrea developing in vivo and in vitro studies. This systematic review was carried out to find answers to the following questions: Which part of the L. ferrea plant and what type of extract have the highest evidence of anti-inflammatory effects on acute inflammation using in vivo and in vitro experimental models?

Which part of the L. ferrea plant and what type of extract have the most evident anti-inflammatory effects in vivo and in vitro experimental models of acute inflammation?

Methods

This Systematic Review followed the recommendations by Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) [S1 and S2 Tables] and was registered in the Prospective Registry of Systematic Reviews (PROSPERO) database under protocol number CRD42020159934 (https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=159934).

Search strategy

A search strategy was first performed on February 3, 2020, and updated on March 12, 2021 in the following databases: Google, Scholar, ProQuest, LILACS, PubMed, ScienceDirect, Scopus and Web of Science. The manual research was carried out in the articles included identifying a possible article that was not screened in the electronic search.

The descriptor used was divided into two groups 1. Libidibia ferrea OR Caesalpinia ferrea (intervention group) and 2. anti-inflammatory effect OR anti-inflammatory action OR anti-inflammatory properties OR anti-inflammatory. Boolean operators (AND and OR) were used to make the combinations (Search strategy) [S1 Appendix]. There was no language restriction in the systematic search from which all the references of the included studies were screened for identifying potential additional study. References were organized in Microsoft ExcelTM and the duplicates were removed in the same program.

Study selection

Screening based on the information in titles and abstracts were performed by two independents blind authors classified in “yes”, “no” or “maybe”. Titles and abstracts were first read, and then, the full article. Both steps were screened applying the eligibility criteria.

Two authors (NCOSA, SCF), independently, selected the studies and collected the data. Studies showing discrepancies were settled in discussions with two other authors (ALBC, ESL).

Eligibility criteria

PICOS criteria were established as 1. Population: Animals (Rattus novergicus or Mus musculus) or in vitro test; 2. Intervention: Treatment with extracts from different parts of the plant in in vivo and/or in vitro models; 3. Control: negative (saline or PBS) and positive (standard drug) controls; 4. Outcome: anti-inflammatory action; 5. Study type: experimental studies.

The inclusion criteria were published articles with non-restricted time or language; articles with titles and abstracts accorded to the research questions; In vivo and in vitro studies, which tested the anti-inflammatory action of L. ferrea or Caesalpinia ferrea, regardless of the tested part of the plant and the extract type. In studies, which analyzed other effects, in addition to the anti-inflammatory activity, only such data were extracted: studies that described mean and standard derivation in tables, graphs, or embedded in the texts.

The exclusion criteria for title-abstract screening were:

  1. Literature reviews, systematic reviews or studies, which have not complied with the standards of Ethics Committee;
  2. Studies in human beings, genetic evaluation studies or cancer model studies;
  3. Phytochemical studies; morphological and anatomical studies; cytogenetic analysis; ethnobotanical studies;
  4. Studies performed in silico or ex vivo models;
  5. Treatment with any plant except from the L. ferrea (C. ferrea);
  6. Studies based on interventions with the plant L. ferrea in non-inflammatory processes;
  7. Animals with previous systematic disease, auto-immune conditions, or any other conditions, which might interfere in the inflammatory model disease evaluated such as obesity, diabetes, or pregnancy;
  8. Studies without control group;
  9. Toxicity, cell viability outcomes, histological data;
  10. Studies without a separated control group or with unavailable data mentioned in the studies.

Besides, book chapters; encyclopedias; literature reviews; systematic reviews; conference abstracts; short communications were excluded.

Regarding the criteria related to the animal population, studies, which used mice or rats of both sexes were included. With respect to the acute inflammation model those related to paw and/or ear edema, peritonitis, vascular permeability, formally-induced paw licking, zymosan-induced arthritis, excisional wound, and wound dressing were included.

Data collection process

Data were collected, using customized data extraction in Microsoft ExcelTM with the following data: First author; Year of publication; Publishing journal; Country of origin/ collection location/ or period of the year; Plant part; Extract type; Extract dose and route of administration; Type of inflammation model or type of assay; In vivo or in vitro model; Number of animals for group and cell type; Therapeutic scheme; Control used; Evaluated parameters; Results.

The variables analyzed for the two models (in vivo and in vitro) were plant collection location; plant part; extract type; inflammatory cytokines levels (TNF-α, IL-1); nitrate. Data such as mean, standard deviation and percentage were also collected.

The variables analyzed for in vivo model were: extract dose; route of administration; animal model (rat or mice); the number of animals for group and number of groups; paw edema volume; area under the curve (paw edema); edema ear weight; polymorphonuclear leukocyte count (PMNL); myeloperoxidase levels (MPO); malondialdehyde levels (MDA); glutathione levels; Release of vasoactive amines; peripherical inflammatory pain; plasm leakage; mast cells counting; prostaglandin E2 (PGE2); wound diameter / ulcerated area.

The variables analyzed for in vitro model were extract concentration; type of cell; cell assay type, control group, treatment.

Risk of bias in individual studies

Risk of bias was conducted and evaluated by two reviewers (NCOSA, SCF). The Systematic Review Center for Laboratory animal Experimentation (SYRCLE) containing 10 entries related to six types of bias to analyze the methodological quality was used. These entries were selection bias (sequence generation, baseline characteristics, and allocation concealment); performance bias (random housing and blinding); detection bias (random outcome assessment and blinding); attrition bias (incomplete outcome data), reporting bias (selective outcome reporting) and other biases [13]. Bias information was organized in an Excel spreadsheet with the related judgments: “yes” indicates a low risk of bias, “no” indicates a high risk of bias and “unclear” indicates not sufficient information reported.

Synthesis methods

Studies, which attended the eligibility criteria were included for narrative synthesis, thus a summarization of the collected data and descriptive analysis of the results. The data synthesis is presented at the results session. Some authors were contacted to supply some unclear or missing data.

In addition to the use of SYRCLE as described above, indirectness domain was also used to analyze the quality of evidence, following the GRADE for in vivo studies [14]. In addition, Grades of Recommendation, Assessment, Development and Evaluation Working Group Guideline Development Tool (GRADEpro GDT) [15] was used.

Extraction and summarized data from in vitro studies were described in Tables 4 and 5. To the best of our knowledge, no checklist to analyze the risk of bias validated to in vitro studies exists [16, 17]. Thus, there is an evaluation tool to assess the in vitro toxicity studies using the Science in Risk Assessment and Policy (SCIRAP tool) [18].

Results

Study selection

Exactly 609 studies were screened in the initial electronic search, and, after a previous screening 126 reports were excluded: encyclopedia (n = 2), book chapter (n = 16), mini reviews (n = 3), short communications (n = 8), conference abstract (n = 6), correspondence (n = 1), review article (n = 58), review (3), meeting abstract (2), review show preview for (n = 6), book chapter show preview for (n = 1), conference paper (n = 1), other (n = 19) were excluded. After this, 483 studies were considered eligible to follow up on the systematic review. From those 338 studies were from the database and 145 from grey literature. Duplicates were also removed and, after reading titles and abstracts, 17 studies were considered for full-text screening. Ten studies were considered eligible according to the eligibility criteria after the consensus by the reviewers (Fig 1).

thumbnail
Fig 1. Flow diagram describing the study selections from literature searching.

*Update values.

https://doi.org/10.1371/journal.pone.0259545.g001

However, this Systematic Review was actualized using the criteria described above. With this update, the research recovered 504 articles, of which 23 were excluded, there remaining 481 studies. After the removal of duplicates, 318 followed the first stage (title and abstract screening). Then, 15 remain for full-text screening. Of these 15, 10 have already been identified in the first search (February 2020). And were identified and included three more different studies (one in vivo and two in vitro) were identified and included. Two studies were excluded, in a total of 13 studies for the quantitative analysis (Fig 1).

At the first search, seven articles were included in the second phase (full article screening) and seven studies were excluded because: one presents the same genus, but it was a different species (Caesalpinia sapan) (reason 1), another study was a thesis which the article had already been included for data extraction and analysis (reason 2). Another study referred to a chemical characterization of L. ferrea (reason 3). Two reports were an ethnobotanical study (reason 4), one study presents the hypoglycemic activity of the plant (reason 5), and one study used the powder for the anti-inflammatory tests and not the extract (reason 6). The last two articles were the same that appeared at the update carried out on March, 2021 and they were also excluded (Fig 1).

Study characteristics

The year of publication of the 13 articles ranged from 1996 to 2020 (Table 1). And in all studies, Brazil was the country where the plant was collected. Eleven of the studies were written in English and two in Portuguese.

thumbnail
Table 1. Plant part and type of extract from L. ferrea overview used in vivo and in vitro studies.

https://doi.org/10.1371/journal.pone.0259545.t001

Concerning studied part of the plant it was noted that: six authors used fruits [12, 2326, 28], one used the bark [19], three used the stem bark [20, 21, 29], two used leaves [22, 30] and one used seeds [27] (Table 1).

Therefore, as regards the type of extract: the aqueous extract was performed in five studies [12, 19, 22, 25, 26], one used ethanolic extract [23], another acetonic extract [19] two rich-polysaccharides extracts [20, 21], one used four different fractions from hydroalcoholic extract CE20, CE40, CE60 e CE80% [25], one used hydroalcoholic extract [29], and one used dry extract [30]. Polysaccharides fractions [24], lipid portion of acetone extract [27], fraction 80 (F80) [26], ethyl acetate and aqueous fraction [25] and supercritical fluid [28] (Table 1).

It was observed that of the 10 in vivo studies included, the animals used in the experiments were Swiss mice (n = 6) [19, 21, 23, 2527] and Wistar rats (n = 4) [12, 20, 22, 24]. Regarding the inflammation model used in the studies, there was a variety of these, and three studies performed more than one inflammation model [21, 23, 24] to verify the anti-inflammatory action of L. ferrea (Table 2).

The most used route of administration for treatment was the orally (n = 8) [12, 19, 2123, 2527]. Other types of routes of administration present in the other studies were intravenous (n = 2) [21, 24], topical [20]. In all preclinical experimental models, anti-inflammatory activity was suggested independently of the plant and it was independent of the animal model, part of the plant and the type of extraction or fraction used in the studies. This potential action was observed through a reduction/inhibition of paw edema volume [12, 21, 24], reducing/migration from the number of PMNL [19, 2126], reduction of ear edema [23], inhibition of vascular permeability [20, 23], reduction in the number of licks [27], reduction of wound area [20], evaluation of inflammatory mediators [2022, 25] (Table 3).

In the in vitro studies, the predominant cell type was the RAW cells 264.7 macrophages [28, 29], Balb/3T3 clone A31 fibroblasts [28], BV2 microglial cell [30], monocytes of human peripheral blood [29] (Table 4). The identification of anti-inflammatory action was verified by identifying inflammatory mediators (Table 5).

Risk of bias in individual studies

The outcomes evaluate the risk of bias in in vivo studies. Therefore, when there was a similarity between the studies, the analysis was executed once, and when there was any different outcome, this was separably analyzed (Table 6).

thumbnail
Table 6. Risk of bias in vivo studies according to SYRCLE’s RoB tool of the ten studies included in the systematic review.

https://doi.org/10.1371/journal.pone.0259545.t006

Following the SYRCLE’s RoB tool, the following risk of bias presents: eight studies with unclear selection bias risk [12, 1924, 26] since they only described that they were divided into groups, not stating whether they have been randomized or not. The other two studies described that the animals have been randomized but have not informed the method used to take such step [25, 27]. They were, then, judged as having a low risk of bias (1).

All in vivo studies present a low risk of bias regarding baseline characteristics, in other words, the animals were induced to the inflammatory condition after which, they were given treatment [12, 19, 2126] or induced to wound [20] before treatment application (2). As to allocation concealment the risk was considered unclear for all in vivo studies for lack of sufficient information with respect such concealment (3).

Concerning the risk of performance bias, all studies have been categorized as low risk of bias. This type of bias refers to random housing as they have been maintained in baseline conditions before the beginning of the experiment, such as the provision of water and food (4). Yet, as to blinding (5) there was no evidence as to whether the researchers who manipulated the animals had any knowledge of what group was the control or the treatment group.

Regarding detection bias, both the random evaluation of the outcome (6) and blinding (7) were described as uncertain, since it was not mentioned in the primary studies whether the analysis of the outcomes was performed randomly or whether those who analyzed the outcomes were random. In the analysis of the risk of frictional bias (8), it has been observed that no study has reported an animal loss during the experiment. Carvalho et al. (1996) described the division of two groups of animals in the methodology, however, in the results, they presented three groups, that is, they included a negative control group [12].

Nine studies reporting bias [12, 2027] described all outcomes related to the reporting bias risk (9). However, De Araújo et al. (2014) related acetonic and aqueous extract of L. ferrea extract on the discussion without apparent description of the anti-inflammatory action of this results in isolation [19].

At the peritonitis experiment [23] the ethanolic extract dose (12,5 mg/kg) received more description than the other doses (25 e 50 mg/kg). About other sources of bias (10) all studies were classified as low risk of bias. Although, two studies have not shown the ethics committee number [12, 27].

Certainty of evidence

The analysis of the uncertainty of inconsistency, publication bias, inaccuracy and in vivo studies were presented in a narrative description:

Imprecision: It was observed that there is a heterogeneity in the studies, such as the size of the samples and amounts of groups used by experiments; the metrics of variation, in most studies, was through mean ± SEM [2022, 2428], mean ± standard deviation [23] and the expression of volume difference [12]. In all in vivo studies the calculation of the sample size was not detected. Even with these inconsistencies the studies tended to present the same direction of the effect, that is, L. ferrea anti-inflammatory activity, so the certainty of the evidence would not downgrade [S2 Appendix].

Publication bias related to the included studies: only one study [23] described in the topic of funding by agencies, which have supported the work. This topic was not requested in the journal in the other studies. Therefore, many added this funding information in the acknowledgement, and none presented to be funded by any industry. In four studies [12, 24, 26, 27] the topic of conflict of interest was not required in the journal. In the other six studies [2023, 25, 28] the topic was dealt with, and a conflict of interest was identified. With this information it can be considered that the publication bias was apparently undetected, given the existing level of uncertainty. All in vivo studies were published in a scientific journal [S2 Appendix].

Since the meta-analysis was not performed, the inconsistency was not required to be taken into account. Considering the conditions, which could affect the outcome, apparently all performed the housing and apply water and food regimes ad libitum. In all studies were identified that the animals were acclimatization, describing at least the temperature, only in one study was not detected this information [27] [S2 Appendix].

Indirectness: As to the research question it was observed that the part of the plant most frequently used in the experiments was the fruit and the mostly used extract was the aqueous extract. As all studies presented anti-inflammatory activity, it can be inferred that those are the ones that showed the greatest evidence of this action, regardless of the experimental model used. Usually, teas/infusions are administered after the appearance of some inflammatory process in humans. However, excepted one study [20] almost all the other studies have induced the inflammatory process after plant administration. Thus, the certainty of evidence should be downgraded [S2 Appendix].

Based on the GRADE criteria the certainty of evidence for in vivo studies was also evaluated. Only one outcome was considered high [20], others were considered with moderate certainty [2127] and low certainty [12, 19, 24]. Further information can be found at Table 7.

In vitro studies: SciRAP [18] was used with adaptations as a tool for the evaluation of the quality of reports. Five aspects (test compound and controls, test system, administration of test compound and data collection and analysis) were presented, with 23 topics on the whole. Items related to the compound used chemical (item 1), purity of the compound (item 2), solubility of the test compound (item 3) (test compound and controls); system source (item 7), metabolic competition (item 8) were removed since these items are related to the toxicity of the compound (test system); effect of the compound test on cytotoxicity (item 19) since this was not the focus of the study (data collection and analysis).

With respect to test and control compound, studies have been analyzed under the items associated to the description of the vehicle, and to the untreated control or the vehicle if they were analyzed as fulfilled [28, 29] and partially fulfilled [30]. As to the item test system, the identification of the cell line/cell type in which all studies presented this information (fulfilled) were analyzed. Apparently, only one study has described the days in which cell passages to one of the cell line [29] have taken place. In the other studies no identification was possible. Information on the screening of contamination was not identified in the studies. They were presented as undetermined [2830] and not fulfilled [29] (Fig 2A–2D).

thumbnail
Fig 2. Reporting quality in in vitro studies.

A. L. ferrea fruits quality reporting on in vitro study. B. L. ferrea leaves quality reporting on in vitro study. C and D. L. ferrea stem bark quality reporting on in vitro study. Grey: not determined; green bar: fulfilled; yellow bar: partially fulfilled; red bar: not fulfilled.

https://doi.org/10.1371/journal.pone.0259545.g002

In the item administration of test compounds concentrations or doses, cell densities and number of replicates have been described in all studies (completed). The duration of the treatment was considered as fulfilled [28, 29] and partially fulfilled [29, 30] (Fig 2A–2D).

Data collection and analysis, if the tests and/or analytic methods were sufficient to describe the results, the criterion was considered as fulfilled [28, 29], partially fulfilled [30]. Time point for the data was considered fulfilled [2830], partially fulfilled [29]. It was observed that all studies have demonstrated the results. Except in one study [28], all statistical methods were described (Fig 2A–2D).

With respect to financing and competing interests, in the source of funding criteria, two studies were considered as fulfilled [28, 29] and one as partially completed study [30]. None of the studies apparently showed any conflict of interest (Fig 2A–2D).

Updates

Throughout the systematic review, some amendments were required to be made. We have, thus, included this topic concerning PRISMA 2020. One of these amendments was the update of the systematic review, given that data from one year had passed from the data to the first search (February 2020); Search strategy that follows in this search is the date of the first search and the update together in the flow diagram; No data was extracted as one of the criteria for analysis of the outcome of anti-inflammatory action of the plant/extract; More information on data extraction from in vitro studies has been added; Two authors resolving the discrepancies when arising.

Discussion

In view of the systematic organization and analysis of scientific evidence of the anti-inflammatory effects of L. ferrea or Caesalpinia ferrea on in vivo and in vitro studies, we have sought to answer that part of the L. ferrea plant, and which type of extract has the most evident anti-inflammatory effects in the experimental models of acute inflammation on in vivo and in vitro studies.

Although the electronic research has identified one systematic review entitled Natural Antimicrobials and Oral Microorganisms: A Systematic Review on Herbal Interventions for the Eradication of Multispecies Oral Biofilms [31], that provide antimicrobial data from various medicinal plants, including Caesalpinia ferrea, the anti-inflammatory activity data were not described in said study. The originality of this study is, therefore, ratified. This would be the main strength of this research.

Nine studies [1926, 30] have obtained the plants in the Northeastern region in Brazil, and four [12, 27, 28, 29] have obtained them in the Northern region which corroborates the literature data, which have demonstrated the wide distribution of this plant throughout Brazil, occurring in Caatinga, Atlantic Forest, and Cerrado domains especially in this area [3] and Northern region (AM, AP, PA, RO, RR) [32].

In this context, the Amazon region stands out, with a great diversity of plant species, where about 5,000 of the 35,000 plant species have great economic potential, either by the production of waxes, essential oils or by other constituents considered useful not only to humans, but also to the environment, animals and plants [33]. Brazil is the country with the greatest biodiversity on the planet (around 15% to 20%), of which, as plants are subsidies in the manufacture of medicines [34]. Among these plants, L. ferrea stands out and is the focus of research in this systematic review.

We have analyzed the methodological design of the ten in vivo studies and data described from the in vitro studies; it has been observed that the most used extract was aqueous extract. This has been found by Agra; Freitas; Barbosa-Filho (2007) whose study aimed to conduct a survey of plants and their modes of use for therapeutic purposes in northeastern Brazil. It has been demonstrated that the L. ferrea stem bark was used by decoction method or as an admixture solution [35].

In addition, the use of fruits left "soaking" and used for the treatment of influenza and bronchitis [36] has also been demonstrated. The study by Santos; Vilanova (2017) and Vásquez; Vásquez; de Mendonça; Noda (2014) has also demonstrated the use of leaf and fruit in the form of infusion and in natura; and the use of leaf and fruit in the preparation of tea, syrup, and macerated for the treatment of sore inflammation, sore throat, respectively [37, 38]. Infusion of leaves and fruits has also been demonstrated in the treatment of tuberculosis and liver inflammations in the Amazon region [1].

Regarding the anti-inflammatory effect, all the studies included in this systematic review have observed the existence of the anti-inflammatory activity of the plant, possibly independently of the part and/or type/fraction of the extract used. This is probably related to the fact that medicinal plants present some compounds (e.g., phenolic compounds) enabling anti-inflammatory action among various biological activities [39]. The presence of these and other compounds can be verified in fruits where gallic acid [4, 25], methyl gallate [4] and fatty acids [27, 28], have already been identified. For example, gallic acid regulates pro-inflammatory pathways, as the signaling pathway of nuclear factor kappa B (NF-κB) [40].

In addition, in the process of acute inflammation, inflammatory mediators are released. Mediators as cytokines and inflammatory proteins would act as biomarkers or predictors in the diagnosis and inflammatory diseases, respectively [41]. This has been observed in the modulation of TNF-α, IL-1β, NO and TGF-β controlling the inflammatory phase and also attenuating hypernociception in the wound healing study [20]. Anti-inflammatory activity could also occur via negative modulation, e.g., in carrageenan-induced paw edema, using the following mediators: bradykinin, nitric oxide, histamine, serotonin, and PGE2 [24].

This diversity in the several uses of the L. ferrea (extract and parts of the plant) as well the use of a great diversity of experimental models of inflammation, genus, species, animal number, and the number of animals by groups may cause difficulty in grouping the results by the similarity that makes impossible to demonstrate the sizes of the effect.

Exception by Pereira et al. (2016) who induced wounds on the animals and then administrated dressing contain the plant extract; all other in vivo studies have performed the treatment before inducing inflammation with the flogistic agent challenged to verify the anti-inflammatory action [20]. This conduct in the experimental designs differs from that applied in humans since the treatment is administrated after the onset of the disease. This is described as one of the challenges of the successful translations from animal models to the clinical environment in humans [42].

The principal limitations observed in the studies, object of this this systematic review (in accordance with the “unclear” risk of bias) were related to the risks of bias having to do with the concealment of the allocation, in addition to blinding of both the animals (induction of inflammation) and those, which they referred. The results have failed to indicate the groups to which they referred. Data on whether the animals had been properly randomized or not, and which method had been used were not provided in articles. Both this information and the execution of the blind assessment and the allocation concealment have helped reduce the impact of the bias on the experiments. These have enabled a reduction in the threats to the internal validity of the studies [43].

Limitations of this research are those inherent to systematic reviews of animal studies, such as the difficulty in the extraction of data, which are often presented in different ways in studies, especially when analyzing designs with high or unclear risk of bias. The authors of this research may have insufficiently interpreted the results presented in the included studies; the difficulty in collecting some data have not been taken into account, not all journals rely on some information, such as funding. Thus, in addition to the limitations inherent to preclinical studies, we still have these other limitations.

In vitro studies have been identified [2830] ratifying the use of this type of experimental design to try to explain the mechanism of the action of anti-inflammatory drugs [44]. These studies could be translated into biomedical research when analyzed in more complex organisms [45]. However, it may be difficult to reflect the same results in terms of in vivo pharmacodynamics and pharmacokinetics studies [44].

Furthermore, quality analysis in preclinical studies without metanalysis is more challenging due to the subjectivity of the analyses. In addition, reporting the quality of in vitro studies followed the same principle of subjectivity in the analysis of the studies.

Conclusions

Jucá (L. ferrea) appears to demonstrate anti-inflammatory activity regardless of the part of the plant and type of extract used in the experimental models and presents itself as a promising species in non-clinical research, thus corroborating its use in folk medicine for the treatment of inflammations. Although the evidence is considered as moderate by GRADEpro, a careful analysis of the results is important, given the presence of methodological bias. And the certainty of evidence is still insufficient to recommend the use of this plant in research.

For this reason, it is suggested preclinical studies in models of inflammation with greater methodological rigor based on standardized tools be designed for a more detailed evaluation of the effects of this plant of traditional use.

Acknowledgments

Thanks to Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM)/POSGRAD for the doctoral scholarship awarded to the first author and to Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).

References

  1. 1. Di Stasi LC, Himura-Lima CA (2002) Caesalpinia ferrea. In: Plantas medicinais na Amazônia e na Mata Atlântica, 2 ed. rev. e ampl. Editora UNESP, São Paulo, ISBN 85-7139-411-3. pp. 279–280
  2. 2. Stehmann JR, Faria FS, Bragioni T (2019) Pau-ferro. In: 50 árvores do Museu. Formato Editora, Belo Horizonte, ISBN 978-85-62164-13-2. pp. 90
  3. 3. Maia-Silva C, Silva CI da, Hrncir M, Queiroz RT de, Imperatriz-Fonseca VL (2012) Jucazeiro. In: Guia de plantas visitadas por abelhas na caatinga, 1 ed. Editora Fundação Brasil Cidadão, Fortaleza, CE, ISBN 978-85-98564-05-0. pp. 43
  4. 4. Nakamura ES, Kurosaki F, Arisawa M, Mukainaka T, Okuda M, Tokuda H, et al (2002) Cancer chemopreventive effects of constituents of Caesalpinia ferrea and related compounds. Cancer Lett 177:119–124 pmid:11825658
  5. 5. Ferreira MRA, Soares LAL (2015) Libidibia ferrea (Mart. ex Tul.) L. P. Queiroz: A review of the biological activities and phytochemical composition. J Med Plants Res 9:140–150.
  6. 6. Kobayashi YT da S, Almeida VT de, Bandeira T, Alcântara BN de, Silva ASB da, Barbosa WLR, et al (2015) Avaliação fitoquímica e potencial cicatrizante do extrato etanólico dos frutos de Jucá (Libidibia ferrea) em ratos Wistar. Brazilian J Vet Res Anim Sci 52:34–40.
  7. 7. Nakamura ES, Kurosaki F, Arisawa M, Mukainaka T, Takayasu J, Okuda M, et al (2002) Cancer chemopreventive effects of a Brazilian folk medicine, Juca, on in vivo two-stage skin carcinogenesis. J Ethnopharmacol 81:135–137 pmid:12020938
  8. 8. Barros AO, De Souza RS, Aranha ESP, Da Costa LM, De Souza TP, De Vasconcellos MC, et al. (2014) Antioxidant and hepatoprotective activities of Libidibia ferrea bark and fruit extracts. Int J Pharm Pharm Sci 6:71–76. ISSN-0975-1491
  9. 9. Pedrosa T do N, Barros AO, Nogueira JR, Fruet AC, Rodrigues IC, Calcagno DQ, et al (2016) Anti-wrinkle and anti-whitening effects of jucá (Libidibia ferrea Mart.) extracts. Arch Dermatol Res 308:643–654. pmid:27623800
  10. 10. Comandolli-WyrepkowskiI CD, Jensen BB, Grafova I, Santos PA dos, Barros AMC, Soares FV, et al (2017) Antileishmanial activity of extracts from Libidibia ferrea: development of in vitro and in vivo tests. Acta Amaz 47:331–340.
  11. 11. Prazeres LDKT, Aragão TP, Brito SA, Almeida CLF, Silva AD, de Paula MMF, et al (2019) Antioxidant and antiulcerogenic activity of the dry extract of pods of Libidibia ferrea Mart. ex Tul. (Fabaceae). Oxid Med Cell Longev. pmid:31827669
  12. 12. Carvalho JCT, Teixeira JRM, Souza PJC, Bastos JK, Dos Santos Filho D, Sarti SJ (1996) Preliminary studies of analgesic and anti-inflammatory properties of Caesalpinia ferrea crude extract. J Ethnopharmacol 53:175–178 pmid:8887026
  13. 13. Hooijmans CR, Rovers MM, De Vries RBM, Leenaars M, Ritskes-Hoitinga M, Langendam MW (2014) SYRCLE’s risk of bias tool for animal studies. BMC Med Res Methodol 14:1–9. pmid:24383436
  14. 14. Hooijmans CR, De Vries RBM, Ritskes-Hoitinga M, Rovers MM, Leeflang MM, IntHout J, et al (2018) Facilitating healthcare decisions by assessing the certainty in the evidence from preclinical animal studies. PLoS One 13:1–18. pmid:29324741
  15. 15. GRADEpro GDT: GRADEpro Guideline Development Tool [Software]. McMaster University, 2020 (developed by Evidence Prime, Inc.). Available from gradepro.org.
  16. 16. Lima CNF, de Lima LF, Correia DB, Machado ST de S, de Sousa JP, et al (2020) Systematic review: Medicinal use and scientific elucidation of the Piper genus for the treatment of symptoms and inflammatory diseases. J Med Plants Res 14:62–72.
  17. 17. Duchman KR, Lemmex DB, Patel SH, Ledbetter L, Garrigues GE, Riboh JC (2019) The Effect of non-steroidal anti-inflammatory drugs on tendon-to-bone healing: a systematic review with subgroup meta-analysis. Iowa Orthop J 39:107–119 pmid:31413684
  18. 18. SciRAP.org (2018) Instructions for evaluating reliability and relevance of in vivo and in vitro toxicity studies using the SciRAP tool. 1–5
  19. 19. De Araújo AA, Soares LAL, Ferreira MRA, Souza Neto MA de, Silva GR da, Araújo RF de Jr, et al (2014) Quantification of polyphenols and evaluation of antimicrobial, analgesic and anti-inflammatory activities of aqueous and acetone-water extracts of Libidibia ferrea, Parapiptadenia rigida and Psidium guajava. J Ethnopharmacol 156:88–96. pmid:25124277
  20. 20. Pereira LDP, Mota MRL, Brizeno LAC, Nogueira FC, Ferreira EGM, Pereira MG, et al (2016) Modulator effect of a polysaccharide-rich extract from Caesalpinia ferrea stem barks in rat cutaneous wound healing: Role of TNF-α, IL-1β, NO, TGF-β. J Ethnopharmacol 187:213–223. pmid:27125588
  21. 21. Holanda BF, Freitas de Araujo D, da Silva JNR, Pereira MG, de Freitas Pires A, Sampaio Assreuy AM (2020) Polysaccaride-rich extract of Caesalpina ferrea stem barks attenuates mice acute inflammation induced by zymosan: Oxidative stress modulation. J Ethnopharmacol. pmid:33122121
  22. 22. Falcão TR, Rodrigues CAO, De Araújo AA, De Medeiros CACX, Soares LAL, Ferreira MRA, et al (2019) Crude extract from Libidibia ferrea (Mart. ex. Tul.) L.P. Queiroz leaves decreased intra articular inflammation induced by zymosan in rats. BMC Complement Altern Med 19:1–10. pmid:30606178
  23. 23. Lima SMA, Araújo LCC, Sitônio MM, Freitas ACC, Moura SL, Correia MTS, et al (2012) Anti-inflammatory and analgesic potential of Caesalpinia ferrea. Brazilian J Pharmacogn 22:169–175.
  24. 24. Pereira LDP, Silva RO da, Bringel PHDSF, Silva KES da, Assreuy AMS, et al (2012) Polysaccharide fractions of Caesalpinia ferrea pods: Potential anti-inflammatory usage. J Ethnopharmacol 139:642–648. pmid:22178173
  25. 25. Falcão TR, Araújo AA de, Soares LAL, Farias IB de, Silva WAV da, Ferreira MRA, et al (2019) Libidibia ferrea fruit crude extract and fractions show anti-inflammatory, antioxidant, and antinociceptive effect in vivo and increase cell viability in vitro. Evidence-based Complement Altern Med. pmid:30915148
  26. 26. Freitas ACC, Ximenes NCA, Aguiar JS, Nascimento SC, Lins TUL, Magalhães LR, et al (2012) Biological activities of Libidibia (Caesalpinia) ferrea var. parvifolia (Mart. ex Tul.) L. P. Queiroz pod preparations. Evidence-based Complement Altern Med. pmid:22675382
  27. 27. Sawada LA, Monteiro VSDC, Rabelo GR, Dias GB, Da Cunha M, Nascimento JLM do, et al (2014) Libidibia ferrea mature seeds promote antinociceptive effect by peripheral and central pathway: Possible involvement of opioid and cholinergic receptors. Biomed Res Int. pmid:24860820
  28. 28. Dias AMA, Rey-Rico A, Oliveira RA, Marceneiro S, Alvarez-Lorenzo C, Concheiro A, et al (2013) Wound dressings loaded with an anti-inflammatory jucá (Libidibia ferrea) extract using supercritical carbon dioxide technology. J Supercrit Fluids 74:34–45.
  29. 29. Lins MA (2020) Citotoxicidade e ação anti-inflamatória in vitro do extrato hidroalcoólico da Libidibia ferrea L. M. Sc. Thesis. Universidade Federal do Amazonas. Available from: https://tede.ufam.edu.br/handle/tede/7950
  30. 30. Neto FC das C (2018) Desenvolvimento do extrato seco de Libidibia ferrea (jucá) como alimento funcional: caracterização química e avaliação das atividades antioxidante e anti-inflamatória em modelos de neuroinflamação. M. Sc. Thesis. Universidade Federal do Ceará. Available from: http://www.repositorio.ufc.br/handle/riufc/30226
  31. 31. Karygianni L, Al-Ahmad A, Argyropoulou A, Hellwig E, Anderson AC, Skaltsounis AL (2016) Natural antimicrobials and oral microorganisms: A systematic review on herbal interventions for the eradication of multispecies oral biofilms. Front Microbiol 6:1–17. pmid:26834707
  32. 32. Silva MF da, Carreira LMM, Tavares AS, Ribeiro IC, Jardim MAG, Lobo M da GA, et al (1989) As leguminosas da Amazônia brasileira: lista prévia. Acta Bot Brasilica 2:193–237
  33. 33. Cardenas JDR (2017) Diversidade botânica. In: dos Santos GM, França LR. GEEA: Grupo de Estudos Estratégicos Amazônicos, v. 10. INPA, Manaus. pp. 59
  34. 34. Brasil M da S (2016) Política e Programa Nacional de Plantas Medicinais e Fitoterápicos. Ministério da Saúde, Secretaria de Ciência, Tecnologia e Insumos Estratégicos, Departamento de Assistência Farmacêutica, Brasília. ISBN 978-85-334-2399-2
  35. 35. Agra M de F, Freitas PF de, Barbosa-Filho JM(2007) Synopsis of the plants known as medicinal and poisonous in Northeast of Brazil. Brazilian J Pharmacogn 17:114–140. ISSN 0102-695X
  36. 36. Gomes TMF, Lopes JB, Barros RFM de, Alencar NL(2017) Plantas de uso terapêutico na comunidade rural Bezerro Morto, São João da Canabrava, Piauí, Brasil. Gaia Sci 11:253–268.
  37. 37. Santos KA dos, Vilanova CM (2017) Estudo etnobotânico de plantas medicinais utilizadas como hipoglicemiantes por usuários do Programa de Fitoterapia da Universidade Federal do Maranhão, Brasil. Sci Plena 13:1–12.
  38. 38. Vásquez SPF, de Mendonça MS, Noda S do N (2014) Etnobotânica de plantas medicinais em comunidades ribeirinhas do município de Manacapuru, Amazonas, Brasil. Acta Amaz 44:457–472.
  39. 39. Ribeiro VP, Arruda C, Abd El-Salam M, Bastos JK (2018) Brazilian medicinal plants with corroborated anti-inflammatory activities: a review. Pharm Biol 56:253–268. pmid:29648503
  40. 40. Kahkeshani N, Farzaei F, Fotouhi M, Alavi SS, Bahramsoltani R, Nazeri R, et al (2019) Pharmacological effects of gallic acid in health and disease: A mechanistic review. Iran J Basic Med Sci 22:225–237. pmid:31156781
  41. 41. Chen L, Deng H, Cui H, Fang J, Zuo Z, Deng J, et al (2018) Inflammatory responses and inflammation-associated diseases in organs. Oncotarget. pmid:29467962
  42. 42. Hooijmans CR, Ritskes-Hoitinga M (2013) Progress in using systematic reviews of animal studies to improve translational research. PLoS Med 10:1–4. pmid:23874162
  43. 43. Sena ES, Currie GL, Mccann SK, Macleod MR, Howells DW (2014) Systematic reviews and meta-analysis of preclinical studies: why perform them and how to appraise them critically. J Cereb Blood Flow & Metab 34:737–742. pmid:24549183
  44. 44. Eze FI, Uzor PF, Ikechukwu P, Obi BC, Osadebe PO (2019) In vitro and in vivo models for anti-inflammation: An evaluative review. INNOSC Theranostics Pharmacol Sci 2:3–15.
  45. 45. Fedele M, Gualillo O, Vecchione A (2011) Animal models of human pathology. J Biomed Biotechnol 2011:1. pmid:21776191