Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Proteomics reveals that quinoa bioester promotes replenishing effects in epidermal tissue


The continuous search for natural products that attenuate age-related losses has increasingly gained notice; among them, those applicable for skin care have drawn significant attention. The bioester generated from the Chenopodium quinoa’s oil is a natural-origin ingredient described to produce replenishing skin effects. With this as motivation, we used shotgun proteomics to study the effects of quinoa bioester on human reconstructed epidermis tridimensional cell cultures after 0, 3, 6, 12, 24, and 48 h of exposure. Our experimental setup employed reversed-phase nano-chromatography coupled online with an Orbitrap-XL and PatternLab for proteomics as the data analysis tool. Extracted ion chromatograms were obtained as surrogates for relative peptide quantitation. Our findings spotlight proteins with increased abundance, as compared to the untreated cell culture counterparts at the same timepoints, that were related to preventing premature aging, homeostasis, tissue regeneration, protection against ultraviolet radiation and oxidative damage.


Skin is the largest human organ and is our first line of defense from the outside world, shielding against ultraviolet (UV), pollution, bacteria, and even viruses. Another of its critical functions is in controlling moisture loss that is ultimately linked to hydration balance. Aside from that, a healthy skin provides a jovial appearance that, in the end, nurtures positivity and overall well-being. In this regard, the World Health Organization (WHO) emphasizes that proper skincare profoundly impacts healthy aging1.

Alterations such as reduced levels of lipids, natural moisturizing factors and water have been associated with accelerating skin deterioration and health2. Exposure to the harsh external environment on a daily basis has also been linked to skin suffering, especially in its outermost layer, the epidermis. Keratinocytes are the most abundant cell type in the epidermis; they are generated in the basal layer and undergo a process of differentiation, maturation, and then migrate to the surface forming the layers of stratum spinosum, stratum granulosum, and stratum corneum; these layers serve as a permeability barrier and are responsible for aforementioned skin benefits3. Dermis containing fibroblasts, its main cell type, represents the inner skin layer and supports epidermal maintenance and differentiation4.

Several ingredients of natural origin have been reported to produce nourishing effects on keratinocytes5. Some examples are: hyaluronic acid, karite butter, and natural oils that increase the water content and adhesion of the corneocytes in the stratum corneum, keeping it flexible and hydrated2. Occlusion in the stratum corneum using oils and oil-based moisturizers has also proven beneficial as it improves homeostasis and maintains the adhesion indices of the corneocytes6.

Among the natural ingredients, those from oil origin have gained increasing attention 7 In particular, oil from the Chenopodium quinoa seeds, when submitted to transesterification, produces a bioester with moisturizing and antioxidant effects8. Quinoa contains polyphenols, essential fatty acids, and proteins9,10,11 that exert important bioactivities for the skin12. The quinoa has a large amount of 20-hydroxyphysone13 that demonstrated to improve dermal thickness14, promote wound healing in vivo15, increase the differentiation of keratinocytes16, and inhibit collagenase activity in vitro17. In addition, polyphenols, which make up quinoa-like glycosides, quercetin and kaempferol (flavonoids)18, are known to absorb ultraviolet radiation (UV)19 and serves as an anti-oxidant20. Essential fatty acids have been shown to regulate several cell signaling pathways involved in skin inflammation, dehydration, and tissue degradation21. To date, the effects of quinoa derivatives have been investigated only through DNA and mRNA sequencing12,22.

Proteomics has served at the forefront as a tool for the development and evaluation of innovative cosmetic products23,24. Here, we investigated the proteomic alterations in human epidermis tridimensional (3D) cell culture (RHE), co-cultivated with dermal fibroblasts, after 0 h, 3 h, 6 h, 12 h, 24 h, and 48 h of exposure to quinoa bioester (QB); comparisons were performed with unexposed counterparts at the same time points. The results allowed us to draw important conclusions about how this potent ingredient provides beneficial effects, at the protein level, and pinpointed key proteins related to homeostasis and other key beneficial epithelial tissue functions.

Results and discussion

Wrinkles, sagging, spots, and tissue dehydration are associated with skin aging and are aggravated without proper care habits such as frequent use of cosmetics and a healthy diet. Skin health impacts the aesthetic appearance and quality of life; unhealthy skin may lead to the development of dermatoses, itching, depigmentation, fungal or bacterial infections25. Natural ingredients serve as a treasure trove to form the basis of new cosmetics24. The Chenopodium Quinoa oil, evaluated in this study, is rich in essential fatty acids, minerals, and amino acids; these are known to be highly emollient and replenishing to the skin. In addition, quinoa oil is a source of antioxidant tocopherols and a potent anti-inflammatory complex that helps replenish the barrier function of the epidermis and prematurely combat tissue damage26. With this as motivation, we performed a time-course experiment to verify the effects QB on the epidermis in vitro27. We opted for the Reconstructed Human Epidermis (RHE) cell culture as this system mimics the in vivo 3D structure of epidermal tissue as well as the conditions and processes that occur in exposure to exogenous factors23.

Microscopy assessment of RHE differentiation

Keratinocyte migration time from basal layer to stratum corneum was evaluated through phase-contrast microscopy. In accordance with previous results, our results show that it is possible to observe the complete differentiation of epidermal layers after 15 days of in vitro culture (Fig. 1)28,29.

Figure 1

Reconstructed human epidermal (RHE) histology image. Hematoxylin and eosin stain. Objective lens amplification of 20 × were used.

Proteomic identifications

Our proteomic analysis identified up to 3981 proteins with 32,897 peptides. The complete list of identified proteins is found in Supplementary Table S1. The list of statistically differentially proteins for 3 h QB-treated vs 3 h QB-free, 6 h QB-treated versus 6 h QB free, 12 h QB-treated versus 12 h QB-free, 24 h QB-treated versus 24 h QB free, and 48 h QB-treated versus 48hQB free are listed in Supplementary Tables S2S6, respectively.

Usage of T0 as experimental quality control for our bioinformatics pipeline

The 0 h time-point (T0) of our cell culture was used to verify the effectiveness of our experimental and computational pipeline as more biological replicates were acquired. The assessment for chromatographic reproducibility of technical replicates was done using RawVegetable (Supplementary Fig. S1)30. It is expected that no (or almost no) statistically differentially abundant proteins should be identified when comparing groups of biological replicates from the same biological condition. As expected, no differential proteins were shortlisted in PatternLab’s T-Fold analysis (Fig. 2A). In contrast, all other timepoints listed differential proteins when comparing the QB-treated cell culture with its QB-free counterpart for the same timepoint. Figure 2B demonstrates a TFold volcanoes plot comparing QB treated versus the QB-free cells after 12 h; a comparison for all time points is available as Supplementary Figs. S2S7.

Figure 2

Volcano plot generated with PatternLab’s TFold module comparing 3D cell cultures of keratinocytes. The software parameters were Benjamin Hochberg q-value (FDR) of 0.05, F-Stringency 0.10, and L-Stringency 0.60. Each dot represents a protein that is mapped according to its − log2(P-value) (x-axis) and log2(fold change) (y-axis). Red dots are proteins that do not satisfy the fold change cutoff and the q-value cutoff. Green dots are proteins that satisfy the fold change but not the q-value cutoff. Orange dots are proteins that satisfy both the fold change cutoff and q-value cutoff but received very low quantitative values and therefore were disregarded from the analysis. Finally, the blue dots are proteins that satisfy all statistical filters and the ones we consider as statistically differentially abundant. (A) Comparison of groups of 3D cell cultures not exposed to QB. Red dots count: 1002. Green dots count: 381. Orange dots count: 0. Blue dots count: 0. (B) Comparison of groups of 3D cell cultures exposed versus not exposed to QB after 12 h. Red dots count: 469. Green dots count: 256. Orange dot count: 321. Blue dot count: 127.

QB induces Acyl-Coa that is linked with homeostasis

Acyl-Coa is part of the Fatty acid metabolism pathway. The stratum corneum (SC) serves as a barrier between the deeper layers of the skin and the external environment and controls homeostasis31,32; improper hydration impairs certain enzymatic functions resulting in the adhesion and accumulation of corneocytes33. The SC is commonly described as the skin’s brick-and-mortar, where the anucleate corneocytes, mainly composed of keratin, are within a matrix rich in lipids containing cholesterol, ceramides, esters, and fatty acids34. The Acyl-CoA protein (ACBP) binds to esters with high specificity and affinity and acts as an intracellular carrier in various enzymatic systems. ACBP is abundant in the epidermis, the suprabasal layers, which are highly active in lipid synthesis. According to Bloksgaard et al., the silencing of the ACBP gene in mice caused oiliness, development of alopecia, and skin scaling. Moreover, it compromised the function of the epidermal barrier, causing an increase in the loss of transepidermal water, indicating this consequence of reduced levels of non-esterified fatty acids in the stratum corneum29. Our results demonstrate QB stimulates Acyl-Coa after 3 h (59%), 6 h (62%), 12 h (85%), and 24 h (99%) (p < 0,01), according to the TFold analyses.

QB stimulates glutamine synthetase that has been linked with skin regeneration

Glutamine synthetase is part of the metabolism pathway and is the only enzyme able to catalyze the synthesis of Glutamine (Gln) from ammonia and glutamate; this amino acid is essential for various tissue functions. GS plays an essential role in the acid–base balance and is used as an energy source. In cellular division, it acts as a precursor for the synthesizing of several biologically active compounds, such as purines and pyrimidines35. A deficiency of glutamine leads to maleficent responses such as the appearance of erythema and the formation of blisters on the tegument36,37. The importance of glutamine in the role of recovery from burn injuries has also been described38. GS plays key roles throughout the various layers of the epidermis: in the basal layer, for housekeeping the keratinocyte accumulation cells and in the stratum corneum as a physical and chemical barrier against UV and pollution31. GS also controls the homeostasis in the epidermis39, provides tissue resistance, and reduces the paracellular permeability40. Our results showed that QB favors an increase in the abundance of GS in our 3D cell culture after 3 h (26%), 6 h (38%), and 12 h (34%) (p < 0.01), according to TFold analyses for all time points.

QB stimulates Actin-related protein 2/3 subunits 2 and 4 that are linked with epidermal morphogenesis and homeostasis

The Actin-related protein 2/3 (Arp 2/3) is part of the EPH-Ephrin signaling pathway. Skin barrier alterations, hyperproliferation, and epithelial hypertrophy are characteristic of epidermal homeostasis changes, leading to different diseases, such as psoriasis41,42. The actin-related protein (Arp2/3) complex consists of two actin-related proteins and five additional actin-associated protein complex subunits (Arpc1-5); Arpc2 and Arpc4 as a core subunit. The Arp2/3 complex regulates actin-associated processes, such as endocytosis, cell migration, vesicle trafficking, organelle remodeling, and cell–matrix and cell–cell adhesion43. Studies have shown that the downregulation of the Arp2/3 complex in mouse epidermis causes interference in morphogenesis and homeostasis44. Our data analysis showed that QB increased the abundance Arpc4 after 3 h (24%), 12 h (47%), and Arpc2 in 12 h (68%) and 24 (63%) with p < 0.01, thus suggesting that it could be beneficial for those influences epidermal morphogenesis and homeostasis, according to TFold analyses for all time points.

Cellular retinoic acid-binding protein-II (CRABP-II) is more abundant in QB-exposed cells and has been linked to preventing premature aging

The CRABP-II is part of the retinoic acid signaling pathway. Skin aging is classified into extrinsic aging, by environmental exposure, such as UV radiation and intrinsic determined by genetic factors45. CRABP-II is expressed by suprabasal fibroblasts and keratinocytes and defines a family of proteins that bind to all-trans-retinoic acid (atRA)46. atRA’s have a profound effect on the growth and differentiation of human epidermal cells in vivo and in vitro47 playing a crucial role in skin homeostasis48, controlling the epithelial width, thickening the epidermal by boosting the proliferation of keratinocytes and thus serving as UV protection49 and ultimately for preventing carcinogenesis50.

The biologically active form of retinoic acid is vitamin A, also known as retinol (ROL), a precursor of retinoic acid. Human skin can convert ROL into its biologically active retinoic metabolite. When used topically on human skin, ROL permeates it, becomes converted to retinaldehyde and then to retinoic acid51,52. The signaling of retinoic acid (RA) is essential for epidermal differentiation53. The regulation of intracellular retinoid bioavailability is made by the presence of specific retinol and retinoic acid-binding proteins, such as CRAPBS50. Our results showed that QB increases the levels of the cellular retinoic acid-binding protein-II; effects were especially notable after 48 h presenting an increase in abundancy of ~ 50% (p < 0.01), according to the TFold analyses for all time points.

QB induces downregulation in S100-A2 that is linked with oxidant defense

S100 proteins belong to a family of cytosolic calcium-binding proteins, composed of 25 members54 with different intracellular and extracellular functions. The S100A2 protein is located in the basal layer of the human epidermis55, having its overexpression in epidermal dysfunctions of morphogenesis and homeostasis56. According to Zhang et al., downregulation of S100-A2 is associated with defense against oxidants in epithelial tissue57. Our results demonstrate the S100-A2 downregulation at 3 h (15%) and 12 h (29%) (p < 0.01), according to the TFold analyses.

Time-course analysis suggests that QB favors cornification

PatternLab’s TrendQuest module was applied to group proteins that shared a similar abundancy profile over our time-course experiment. The software converged to five clusters for QB-Free and another five for QB-Treated cells. Only proteins found in three or more time points were considered. Table 1 provides a bird’s-eye view for all clusters; each one is presented side-by-side with its most enriched pathway. Supplementary Table S7 includes detailed information and plots for all clusters. In general, the enriched pathways suggest that QB favors cornification. Cornification refers to the formation of a dead cell (corneocyte) layer that serves as a protective physical barrier for the skin58. Several pathways are activated during homeostatic keratinocyte differentiation to control the keratinocytes from premature apoptosis and necrosis to enable the keratinization process59,60. Among the enriched pathways displayed in Table 1, we highlight the “The citric acid (TCA) cycle and respiratory electron transport” (Table 1—Q4) and the “Cholesterol biosynthesis” (Table 1—Q5) obtained from the QB treated cells. The former (Q4) is intimately related to the stratification process and the later (Q5) with the permeability barrier formation. Stratification begins with the downregulation of adhesion molecules, subsequent detachment of the basal cells of the basement membrane, and migration of the part of the innermost layer (basal) to the outermost layers (suprabasal), developing the component layers of the tissue61. Biosynthesis of cholesterol and other lipids in the skin is responsible for the epidermal permeability barrier and is another essential and desired quality for promoting homeostasis. Our results demonstrate that both pathways were triggered after 12 h, suggesting that QB favors the renewal of essential elements to enable homeostasis and the integrity of the skin barrier. In contrast, these pathways were far from topping the list in the QB-Free cell line. In fact, in QB-free cells, the “Formation of the cornified envelope” pathway (Table 1—F4) decreases over time as the “Methylation” (Table 1—F3) pathway increased. Such an inverse correlation is well described in the literature; increased methylation suppresses the differentiation and maintains cell proliferation at baseline levels62. Figure 3 contrasts profiles from clusters Q3 and F4; a joint Reactome analysis (Fig. 4) shows that both are related to the cornification process and yet, in our results, their general abundancy trend is indirectly correlated. Finally, we note a common enriched pathway to both QB-free and QB cell-lines: “Formation of the ternary complex, and subsequently, the 43S complex” (Table 1, Q1 and F1). The aforementioned pathway is found in clusters that share a similar protein profile distribution for both the QB and QB-free cells; it is related to essential tasks and thus remains with its relative quantitation mostly unaltered throughout.

Table 1 Top enriched pathways per cluster.
Figure 3

TrendQuest analysis. Proteins with similar abundance profiles were grouped. The orange and the blue thick lines represent the normalized average protein profile for the QB-treated and QB-free clusters for the “Translation” and the “Formation of the cornified envelope” pathways, respectively. The thin lines derive from individual proteins from the corresponding clusters.

Figure 4

Formation of the cornified envelope pathway Reactome analysis. The left panel presents the Reactome’s legend; Pathway Diagram shows compartments: the big orange box representing the cytosol, bounded by a double-line representing the plasma membrane, and the white background outside the box represents the extracellular spaces. The intracellular diagram represents the enriched pathways. Yellow proteins and blue proteins originate from the QB-treated and the QB-free cell culture trends, respectively.

Material and methods


Human Epidermal Keratinocytes neonatal (HEKn) (cat. no. nh-skp-KT0069) were obtained from Banco de Células do Rio de Janeiro (BCRJ). Human Dermal Fibroblasts neonatal (HDFn) (cat. no. C0045C) and Penicillin–Streptomycin (P/S) (cat. no. 15070063) were acquired from Thermo Fischer. Phosphate Buffered Saline (PBS) pH 7.4 (cat. no. 10010031), Dulbecco’s Modified Eagle’s Medium (DMEM) and Fetal Bovine Serum (FBS) (cat. no. 12800017) were purchased from Gibco. KBM Gold Keratinocyte Growth Basal Medium (cat. no. 00192151) was purchased from Lonza. Twelve Well Cell Culture Plate Cellstar (cat. no. 66518001) and ThinCert Cell Culture Insert (cat. no.665641) were acquired from Greiner. Trypsin–EDTA (0.25%) and Albumin Bovine Serum (cat. no. 12657) were purchase from Merck. Qubit Protein Assay Kit (cat. no. Q33212) and RapiGest acid-labile surfactant (cat. no. 186001861) were acquired from Invitrogen and Waters, respectively. Sequence grade modified trypsin (V511A) was purchased from Promega.

Cell culture

The Reconstructed Human Epidermis 3D cell culture (RHE) was adapted from Brohem and co-authors63. Although this work focused on evaluating protein expressions by keratinocytes, fibroblasts were co-cultivated in a different experimental compartment to simulate epidermal and dermal communication. Fibroblasts were cultured in DMEM supplemented with 10% FBS and 1% P/S, while keratinocytes were cultured with KBM Gold medium. For subcultures, the confluent monolayers were gently washed with PBS and after brief 3-min trypsinization, the cells were suspended in the complete culture medium. For the formation of monolayers, fibroblasts were cultivated into three 12-well plates. After 3 days, the medium was exchanged, and ThinCert was placed in each well with keratinocytes added to its superior face. Finally, 3 days after, the entire liquid content of the insert and the wells were removed, and then performed at air–liquid interphase filled with 1 mL Grupo Boticário’s propriety differentiation medium into plates. The medium was changed every 3 days, during 15 days for epidermal differentiation.

Quinoa bioester (QB) treatment

QB was diluted in Vaseline to a final concentration of 0.01%. The QB was exposed on the surface of the differentiated epidermis with fibroblasts at the base of the wells. Reconstructed Human Epidermis 3D cell culture following time points: 0 h, 3 h, 6 h, 12 h, 24 h, and 48 h, and then immediately harvested, washed with PBS 1 ×, and stored at − 80 °C for further proteomics analysis. The same procedure was accomplished for differentiated RHE with no exposure to QB. For each time point (exposure or not), three biological replicates were performed, totaling 36 cell cultures. Cultures obtained for time zero in both conditions were used for quality assessment of the posterior proteomic analysis. After treatment, three 12-well plates containing adherent fibroblasts were discarded and only RHE 3D cell cultures were considered for the next steps; one of 0 h time point control was used for histological evaluation.

Histological evaluation of RHE

Briefly, RHE were fixed in 4% (v/v) of formaldehyde and PBS 7.4 for 2 h. Subsequently, the samples were dehydrated in increasing concentrations of ethanol, diaphonized in Xylol, and included in paraffin. Three micrometers (3 µm) sections of the samples were deposited on positively charged slides (Imunnoslide, Easypath). Then, cuts were then dewaxed in xylene, rehydrated in decreasing concentrations of ethanol, then stained using the panocytic hematoxylin and eosin technique, according to CITOLAB64.

Phase-contrast microscopy in an Eclipse TE300 Inverted Microscope was employed to evaluate RHE differentiation, applying × 20 objective lens magnification.

Sample preparation

RHE proteins were extracted with RapiGest detergent at a concentration of 0.1% according to the manufacturer’s recommendations. According to the manufacturer’s instructions, protein concentrations were determined using the fluorimetric assay from the Qubit platform (Invitrogen). One hundred micrograms of proteins from each sample were reduced with dithiothreitol (DTT) (final concentration of 10 mM) for 30 min, at 60 °C. After being cooled to room temperature, the samples were alkylated with iodoacetamide (final concentration of 30 mM) for 25 min at room temperature, in the dark, and finally digested with sequence grade modified trypsin in the proportion of 1/50 (E/S) for 20 h, at 37 °C.

Desalting and sample quantification

In due course, the enzymatic reaction was stopped by adding trifluoroacetic (0.4% v/v final) and the peptides were incubated for additional 40 min to degraded the RapiGest. Afterward, the samples were centrifuged at 18.000×g for 10 min to remove any insoluble materials. Subsequently, the peptides were quantified using the fluorometric assay—Qubit 2.0 (Invitrogen) according to the manufacturer's recommendations. Each sample was desalted and concentrated using Stage-Tips (STop and Go-Extraction TIPs) according to Rappsillber and collaborator65.

Mass spectrometry analysis

The peptides were subjected to LC–MS/MS analysis with a Thermo Scientific Easy-nLC 1000 ultra-high-performance liquid chromatography (UPLC) system coupled with an LTQ-Orbitrap XL mass spectrometer, as follows. The peptide mixtures were loaded onto a column (75 mm i.d., 30 cm long) packed in house with a 3.2 μm ReproSil-Pur C18-AQ resin (Dr. Maisch) with a flow of 250 nL/min and subsequently eluted with a flow of 250 nL/min from 5 to 40% ACN in 0.1% formic acid and 5% DMSO, in a 180 min gradient66. The mass spectrometer was set in data-dependent mode to automatically switch between MS and MS/MS (MS2) acquisition. Survey full-scan MS spectra (from m/z 300–2000) were acquired in the Orbitrap analyzer with the resolution R = 60,000 at m/z 400 (after accumulation to a target value of 1,000,000 in the linear trap). The ten most intense ions were sequentially isolated and fragmented in the linear ion trap using collisional induced dissociation with normalized energy of 35. Previous target ions selected for MS/MS were dynamically excluded for 90 s. The total cycle time was approximately 3 s. The general mass spectrometric conditions were: spray voltage, 2.4 kV; no sheath and auxiliary gas flow; ion transfer tube temperature 175 °C; collision gas pressure, 1.3mTorr; normalized energy collision energy using wide-band activation mode; 35% for MS2. Ion selection thresholds were: 250 counts for MS2. An activation q = 0.25 and an activation time of 30 ms were applied in MS2 acquisitions. Two technical replicates were acquired for each biological replicate.

Peptide spectrum matching (PSM)

The data analysis was performed with the PatternLab for proteomics 4 software that is freely available at https://www.patternlabforproteomics.org67. Homo sapiens’ sequences were downloaded on June 6th, 2020 from the Swiss-Prot and then a target-decoy database was generated to include a reversed version of each sequence plus those from 104 common mass spectrometry contaminants. The Comet 2019.01 rev. 5 search engine was used for identifying the mass spectra68. The search parameters considered: fully and semi-tryptic peptide candidates with masses between 550 and 5500 Da, up to two missed cleavages, 40 ppm for precursor mass, and bins of 1.0005 m/z for MS/MS with an offset of 0.4. The modifications were carbamidomethylation of cysteine and oxidation of methionine as fixed and variable, respectively.

Validation of PSMs

The validity of the PSMs was assessed using Search Engine Processor (SEPro)69. The identifications were grouped by charge state (2 + and ≥ 3 +), and then by tryptic status, resulting in four distinct subgroups. For each group, the XCorr, DeltaCN, DeltaPPM, and Peaks Matches values were used to generate a Bayesian discriminator. The identifications were sorted in nondecreasing order according to the discriminator score. A cutoff score accepted a false-discovery rate (FDR) of 2% at the peptide level based on the number of decoys70. This procedure was independently performed on each data subset, resulting in an FDR independent of charge state or tryptic status. Additionally, a minimum sequence length of five amino-acid residues and a protein score greater than 3 were imposed. Finally, identifications deviating by more than 10 ppm from the theoretical mass were discarded. This last filter led to FDRs, now at the protein level, to be lower than 1% for all search results71.

Proteomic data analysis

We quantitated, independently, three biological replicates for each of our six-time points (i.e., T0h, T3h, T6h, T12h, T24h, T48h), with two technical replicates. Quantitation was performed according to PatternLab's Normalized Ion Abundance Factors (NIAF) as a relative quantitation strategy and as described in our bioinformatics protocol67. We recall that NIAF is the equivalent to NSAF72, but applied to extracted ion chromatogram (XIC). Differentially abundant proteins were listed by using PatternLab’s TFold module to compare time point zero with the other time points73. We also performed a TFold analysis comparing the two batches of biological replicates acquired for timepoint 0 h to serve as a quality control step; we expected to find no differentially abundant proteins as all 3D cell cultures originated from the same biological condition. PatternLab’s TrendQuest module was also employed to group proteins that share the same temporal abundancy patterns over the time-course experiment74. Finally, we used the Reactome75 tools to help interpret the data.


Here, we pinpointed proteomic alterations that 3D keratinocyte cell cultures undergo when exposed (or not) to QB at several timepoints. Our results shortlisted up-regulated proteins that are known to be beneficial for skin replenishing. We opted for performing our work on 3D cell cultures as they have been described to better mimic in vivo as when compared to 2D cell cultures76, thus our results suggest that the application of QB could be beneficial to human skin; nevertheless, in vivo studies should be performed to validate such hypothesis.

Data availability

The mass spectrometry data have been deposited to the ProteomeXchange Consortium via the PRIDE77 partner repository with the dataset identifier PXD020893.


  1. 1.

    WHO. WHO|The Global Strategy and Action Plan on Ageing and Health (WHO, Geneva, 2020).

    Google Scholar 

  2. 2.

    Vaughn, A. R., Clark, A. K., Sivamani, R. K. & Shi, V. Y. Natural oils for skin-barrier repair: Ancient compounds now backed by modern science. Am. J. Clin. Dermatol. 19, 103–117 (2018).

    Article  PubMed  Google Scholar 

  3. 3.

    Honari, G. & Maibach, H. Skin structure and function. In Applied Dermatotoxicology (eds Honari, G. & Maibach, H.) 1–10 (Elsevier, Amsterdam, 2014).

    Google Scholar 

  4. 4.

    Walling, R. E. Dermis: Structure, Composition and Role in Thermoregulation (Nova Science Publishers, Inc., Hauppauge, 2014).

    Google Scholar 

  5. 5.

    Abels, C. & Angelova-Fischer, I. Skin care products: Age-appropriate cosmetics. In Current Problems in Dermatology (eds Surber, C. et al.) 173–182 (Karger AG, Basel, 2018).

    Google Scholar 

  6. 6.

    Rawlings, A. V., Scott, I. R., Harding, C. R. & Bowser, P. A. Stratum corneum moisturization at the molecular level. J. Investig. Dermatol. 103, 731–741 (1994).

    Article  CAS  PubMed  Google Scholar 

  7. 7.

    Lorencini, M., Brohem, C. A., Dieamant, G. C., Zanchin, N. I. T. & Maibach, H. I. Active ingredients against human epidermal aging. Ageing Res. Rev. 15, 100–115 (2014).

    Article  CAS  PubMed  Google Scholar 

  8. 8.

    Stuart, R. M. et al. Composição cosmética compreendendo bioéster de quinoa (2019).

  9. 9.

    Alvarez-Jubete, L., Arendt, E. K. & Gallagher, E. Nutritive value of pseudocereals and their increasing use as functional gluten-free ingredients. Trends Food Sci. Technol. 21, 106–113 (2010).

    Article  CAS  Google Scholar 

  10. 10.

    Vega-Gálvez, A. et al. Nutrition facts and functional potential of quinoa (Chenopodium quinoa willd.), an ancient Andean grain: A review. J. Sci. Food Agric. 90, 2541–2547 (2010).

    Article  CAS  PubMed  Google Scholar 

  11. 11.

    Gorinstein, S. et al. The total polyphenols and the antioxidant potentials of some selected cereals and pseudocereals. Eur. Food Res. Technol. 225, 321–328 (2007).

    Article  CAS  Google Scholar 

  12. 12.

    Graf, B. L. et al. Compounds leached from quinoa seeds inhibit matrix metalloproteinase activity and intracellular reactive oxygen species. Int. J. Cosmet. Sci. 37, 212–221 (2015).

    Article  CAS  PubMed  Google Scholar 

  13. 13.

    Kumpun, S. et al. Ecdysteroids from Chenopodium quinoa Willd., an ancient Andean crop of high nutritional value. Food Chem. 125, 1226–1234 (2011).

    Article  CAS  Google Scholar 

  14. 14.

    Ehrhardt, C., Wessels, J. T., Wuttke, W. & Seidlová-Wuttke, D. The effects of 20-hydroxyecdysone and 17β-estradiol on the skin of ovariectomized rats. Menopause 18, 323–327 (2011).

    Article  PubMed  Google Scholar 

  15. 15.

    Zhegn, G., Wu, X., Li, Y., Zhang, J. & Wang, W. Preparation and dose-effect analysis of ecdysterone cream for promoting wound healing. Nan Fang Yi Ke Da Xue Xue Bao 28, 828–831 (2008).

    PubMed  PubMed Central  Google Scholar 

  16. 16.

    Gorelick-Feldman, J., Cohick, W. & Raskin, I. Ecdysteroids elicit a rapid Ca2+ flux leading to Akt activation and increased protein synthesis in skeletal muscle cells. Steroids 75, 632–637 (2010).

    Article  CAS  PubMed  Google Scholar 

  17. 17.

    Nsimba, R. Y., Kikuzaki, H. & Konishi, Y. Ecdysteroids act as inhibitors of calf skin collagenase and oxidative stress. J. Biochem. Mol. Toxicol. 22, 240–250 (2008).

    Article  CAS  PubMed  Google Scholar 

  18. 18.

    Zhu, N. et al. Antioxidative flavonoid glycosides from quinoa seEDS (Chenopodium quinoa Willd.). J. Food Lipids 8, 37–44 (2001).

    Article  CAS  Google Scholar 

  19. 19.

    Nichols, J. A. & Katiyar, S. K. Skin photoprotection by natural polyphenols: Anti-inflammatory, antioxidant and DNA repair mechanisms. Arch. Dermatol. Res. 302, 71–83 (2010).

    Article  CAS  PubMed  Google Scholar 

  20. 20.

    Zibadi, S. & Watson, R. Bioactive Dietary Factors and Plant Extracts in Dermatology (Humana Press, Totowa, 2013).

    Google Scholar 

  21. 21.

    McCusker, M. M. & Grant-Kels, J. M. Healing fats of the skin: The structural and immunologic roles of the ω-6 and ω-3 fatty acids. Clin. Dermatol. 28, 440–451 (2010).

    Article  PubMed  Google Scholar 

  22. 22.

    Hibbert, S. A. et al. Defining tissue proteomes by systematic literature review. Sci. Rep. 8, 546 (2018).

    ADS  Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Hameury, S., Borderie, L., Monneuse, J.-M., Skorski, G. & Pradines, D. Prediction of skin anti-aging clinical benefits of an association of ingredients from marine and maritime origins: Ex vivo evaluation using a label-free quantitative proteomic and customized data processing approach. J. Cosmet. Dermatol. (2018).

    Article  PubMed  Google Scholar 

  24. 24.

    Epstein, H. A. The influence of proteomics on cosmetic science. SKINmed 4, 44–46 (2005).

    Article  PubMed  Google Scholar 

  25. 25.

    Blume-Peytavi, U. et al. Age-associated skin conditions and diseases: Current perspectives and future options. The Gerontologist 56, S230–S242 (2016).

    Article  PubMed  Google Scholar 

  26. 26.

    Islam, M. S. & Bundy, C. Bioester in bioscience discipline-past, present and future trends. Curr. Trends Biomed. Eng. Biosci. 11(2), 555807. (2018).

    Article  Google Scholar 

  27. 27.

    Silvani, S., Figliuzzi, M. & Remuzzi, A. Toxicological evaluation of airborne particulate matter. Are cell culture technologies ready to replace animal testing?. J. Appl. Toxicol. 39, 1484–1491 (2019).

    CAS  PubMed  Google Scholar 

  28. 28.

    Wikramanayake, T. C., Stojadinovic, O. & Tomic-Canic, M. Epidermal differentiation in barrier maintenance and wound healing. Adv. Wound Care 3, 272–280 (2014).

    Article  Google Scholar 

  29. 29.

    Iizuka, H. Epidermal turnover time. J. Dermatol. Sci. 8, 215–217 (1994).

    Article  CAS  PubMed  Google Scholar 

  30. 30.

    Kurt, L. U. et al. RawVegetable—A data assessment tool for proteomics and cross-linking mass spectrometry experiments. J. Proteomics 225, 103864 (2020).

    Article  CAS  PubMed  Google Scholar 

  31. 31.

    Elias, P. M. Stratum corneum defensive functions: An integrated view. J. Investig. Dermatol. 125, 183–200 (2005).

    Article  CAS  PubMed  Google Scholar 

  32. 32.

    Feingold, K. R. Thematic review series: Skin lipids. The role of epidermal lipids in cutaneous permeability barrier homeostasis. J. Lipid Res. 48, 2531–2546 (2007).

    Article  CAS  Google Scholar 

  33. 33.

    Watkinson, A., Harding, C., Moore, A. & Coan, P. Water modulation of Stratum corneum chymotryptic enzyme activity and desquamation. Arch. Dermatol. Res. 293, 470–476 (2001).

    Article  CAS  Google Scholar 

  34. 34.

    Elias, P. M. Epidermal lipids, barrier function, and desquamation. J. Investig. Dermatol. 80, 44s-s49 (1983).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Chwals, W. J. Regulation of the cellular and physiological effects of glutamine. Mini Rev. Med. Chem. 4, 833–838 (2004).

    Article  CAS  Google Scholar 

  36. 36.

    Häberle, J. et al. Congenital glutamine deficiency with glutamine synthetase mutations. N. Engl. J. Med. 353, 1926–1933 (2005).

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Häberle, J. et al. Inborn error of amino acid synthesis: Human glutamine synthetase deficiency. J. Inherit. Metab. Dis. 29, 352–358 (2006).

    Article  CAS  Google Scholar 

  38. 38.

    Abcouwer, S. F., Lohmann, R., Bode, B. P., Lustig, R. J. & Souba, W. W. Induction of glutamine synthetase expression after major burn injury is tissue specific and temporally variable. J. Trauma 42, 421–427 (1997).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Malminen, M. et al. Immunohistological distribution of the tight junction components ZO-1 and occludin in regenerating human epidermis. Br. J. Dermatol. 149, 255–260 (2003).

    Article  CAS  Google Scholar 

  40. 40.

    Seth, A., Basuroy, S., Sheth, P. & Rao, R. K. L-Glutamine ameliorates acetaldehyde-induced increase in paracellular permeability in Caco-2 cell monolayer. Am. J. Physiol. Gastrointest. Liver Physiol. 287, G510-517 (2004).

    Article  CAS  PubMed  Google Scholar 

  41. 41.

    Fräki, J. E. & Hopsu-Havu, V. K. Human skin proteases. Fractionation of psoriasis scale proteases and separation of a plasminogen activator and a histone hydrolysing protease. Arch. Dermatol. Res. 256, 113–126 (1976).

    Article  PubMed  Google Scholar 

  42. 42.

    Bigliardi, P. L. Role of skin pH in psoriasis. Curr. Probl. Dermatol. 54, 108–114 (2018).

    Article  PubMed  Google Scholar 

  43. 43.

    Goley, E. D. & Welch, M. D. The ARP2/3 complex: An actin nucleator comes of age. Nat. Rev. Mol. Cell Biol. 7, 713–726 (2006).

    Article  CAS  PubMed  Google Scholar 

  44. 44.

    van der Kammen, R. et al. Knockout of the Arp2/3 complex in epidermis causes a psoriasis-like disease hallmarked by hyperactivation of transcription factor Nrf2. Development 144, 4588–4603 (2017).

    Article  CAS  PubMed  Google Scholar 

  45. 45.

    Jenkins, G. Molecular mechanisms of skin ageing. Mech. Ageing Dev. 123, 801–810 (2002).

    Article  CAS  PubMed  Google Scholar 

  46. 46.

    Sanquer, S. & Gilchrest, B. A. Characterization of human cellular retinoic acid-binding proteins-I and -II: Ligand binding affinities and distribution in skin. Arch. Biochem. Biophys. 311, 86–94 (1994).

    Article  CAS  PubMed  Google Scholar 

  47. 47.

    Eller, M. S., Oleksiak, M. F., McQuaid, T. J., McAfee, S. G. & Gilchrest, B. A. The molecular cloning and expression of two CRABP cDNAs from human skin. Exp. Cell Res. 198, 328–336 (1992).

    Article  CAS  PubMed  Google Scholar 

  48. 48.

    Bielli, A. et al. Cellular retinoic acid binding protein-II expression and its potential role in skin aging. Aging 11, 1619–1632 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Bellemère, G. et al. Antiaging action of retinol: From molecular to clinical. Skin Pharmacol. Physiol. 22, 200–209 (2009).

    Article  CAS  PubMed  Google Scholar 

  50. 50.

    Doldo, E. et al. Vitamin A, cancer treatment and prevention: The new role of cellular retinol binding proteins. BioMed Res. Int. 2015, 624627 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. 51.

    Mukherjee, S. et al. Retinoids in the treatment of skin aging: An overview of clinical efficacy and safety. Clin. Interv. Aging 1, 327–348 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Darlenski, R., Surber, C. & Fluhr, J. W. Topical retinoids in the management of photodamaged skin: From theory to evidence-based practical approach. Br. J. Dermatol. 163, 1157–1165 (2010).

    Article  CAS  PubMed  Google Scholar 

  53. 53.

    Collins, C. A. & Watt, F. M. Dynamic regulation of retinoic acid-binding proteins in developing, adult and neoplastic skin reveals roles for beta-catenin and Notch signalling. Dev. Biol. 324, 55–67 (2008).

    Article  CAS  PubMed  Google Scholar 

  54. 54.

    Potts, B. C. M. et al. The structure of calcyclin reveals a novel homodimeric fold for S100 Ca2+-binding proteins. Nat. Struct. Mol. Biol. 2, 790–796 (1995).

    Article  CAS  Google Scholar 

  55. 55.

    Böni, R. et al. Immunohistochemical localization of the Ca2+ binding S100 proteins in normal human skin and melanocytic lesions. Br. J. Dermatol. 137, 39–43 (1997).

    Article  PubMed  Google Scholar 

  56. 56.

    Stoll, S. W. et al. S100A2 coding sequence polymorphism: Characterization and lack of association with psoriasis. Clin. Exp. Dermatol. 26, 79–83 (2001).

    Article  CAS  PubMed  Google Scholar 

  57. 57.

    Zhang, T., Woods, T. L. & Elder, J. T. Differential responses of S100A2 to oxidative stress and increased intracellular calcium in normal, immortalized, and malignant human keratinocytes. J. Investig. Dermatol. 119, 1196–1201 (2002).

    Article  CAS  PubMed  Google Scholar 

  58. 58.

    Sandilands, A., Sutherland, C., Irvine, A. D. & McLean, W. H. I. Filaggrin in the frontline: Role in skin barrier function and disease. J. Cell Sci. 122, 1285–1294 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. 59.

    Lippens, S., Denecker, G., Ovaere, P., Vandenabeele, P. & Declercq, W. Death penalty for keratinocytes: Apoptosis versus cornification. Cell Death Differ. 12, 1497–1508 (2005).

    Article  CAS  PubMed  Google Scholar 

  60. 60.

    Eckhart, L., Lippens, S., Tschachler, E. & Declercq, W. Cell death by cornification. Biochim. Biophys. Acta Mol. Cell Res. 1833, 3471–3480 (2013).

    Article  CAS  Google Scholar 

  61. 61.

    Koria, P. & Andreadis, S. T. Epidermal morphogenesis: The transcriptional program of human keratinocytes during stratification. J. Investig. Dermatol. 126, 1834–1841 (2006).

    Article  CAS  PubMed  Google Scholar 

  62. 62.

    Kang, S., Chovatiya, G. & Tumbar, T. Epigenetic control in skin development, homeostasis and injury repair. Exp. Dermatol. 28, 453–463 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  63. 63.

    Brohem, C. A. et al. Proteasome inhibition and ROS generation by 4-nerolidylcatechol induces melanoma cell death. Pigment Cell Melanoma Res. 25, 354–369 (2012).

    Article  CAS  PubMed  Google Scholar 

  64. 64.

    CITOLAB. Laboratório de Citologia Clínica e Histopatologia em Curitiba (2020). Accessed 4 August 2020.

  65. 65.

    Rappsilber, J., Ishihama, Y. & Mann, M. Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. Anal. Chem. 75, 663–670 (2003).

    Article  PubMed  Google Scholar 

  66. 66.

    Hahne, H. et al. DMSO enhances electrospray response, boosting sensitivity of proteomic experiments. Nat. Methods 10, 989–991 (2013).

    Article  CAS  PubMed  Google Scholar 

  67. 67.

    Carvalho, P. C. et al. Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0. Nat. Protoc. 11, 102–117 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. 68.

    Eng, J. K. et al. A deeper look into comet—Implementation and features. J. Am. Soc. Mass Spectrom. 26, 1865–1874 (2015).

    ADS  Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. 69.

    Carvalho, P. C. et al. Search engine processor: Filtering and organizing peptide spectrum matches. Proteomics 12, 944–949 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. 70.

    Barboza, R. et al. Can the false-discovery rate be misleading?. Proteomics 11, 4105–4108 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. 71.

    Yates, J. R. 3rd. et al. Toward objective evaluation of proteomic algorithms. Nat. Methods 9, 455–456 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. 72.

    Zybailov, B. et al. Statistical analysis of membrane proteome expression changes in Saccharomyces cerevisiae. J. Proteome Res. 5, 2339–2347 (2006).

    Article  CAS  PubMed  Google Scholar 

  73. 73.

    Carvalho, P. C., Yates, J. R. 3rd. & Barbosa, V. C. Improving the TFold test for differential shotgun proteomics. Bioinforma. Oxf. Engl. 28, 1652–1654 (2012).

    Article  CAS  Google Scholar 

  74. 74.

    de Saldanha da Gama Fischer, J. et al. Dynamic proteomic overview of glioblastoma cells (A172) exposed to perillyl alcohol. J. Proteomics 73, 1018–1027 (2010).

    Article  CAS  PubMed Central  Google Scholar 

  75. 75.

    Fabregat, A. et al. The Reactome pathway knowledgebase. Nucleic Acids Res. 44, D481-487 (2016).

    Article  CAS  PubMed  Google Scholar 

  76. 76.

    Freshney, R. I., Capes-Davis, A., Gregory, C. & Przyborski, S. Culture of Animal Cells: A Manual of Basic Technique and Specialized Applications (Wiley Blackwell, Hoboken, 2016).

    Google Scholar 

  77. 77.

    Vizcaíno, J. A. et al. The PRoteomics IDEntifications (PRIDE) database and associated tools: Status in 2013. Nucleic Acids Res. 41, D1063-1069 (2013).

    Article  CAS  Google Scholar 

Download references


The funding was provide by Conselho Nacional de Pesquisa (Grant No. 442365/2019-5).

Author information




The authors acknowledge CNPq, CAPES, Carlos Chagas Institute (Fiocruz Paraná), PAPES VII, and Positivo University for financial support. ACCA, MDMS, PCC, and ML proposed the experimental design. MRP is ACCA’s supervisor at Positivo University. ACCA and MDMS performed the experiments under the supervision of PCC, JSGF, and ML. ACCA and MDMS and JSGF performed experimental proteomics. BBS, BB, and DCS aided ACCA to generate the 3D cell culture. ACCA, MDMS, and PCC performed data analysis and wrote the manuscript. All authors revised and approved the manuscript. The authors acknowledge the proteomics data generation at Mass Spectrometry Facility RPT02H at Fiocruz-Paraná and thank Dr. Michel Batista for running the samples.

Corresponding authors

Correspondence to Marcio Lorencini or Paulo C. Carvalho.

Ethics declarations

Competing interests

ACCA, MDMS, JSGF, MRP, and PCC declare no conflict of interest. BBS, BB, DCS, and ML work for Grupo Boticário, but proteomic results were generated and analyzed independently by the other authors.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Camillo-Andrade, A.C., Santos, M.D.M., Fischer, J.S.G. et al. Proteomics reveals that quinoa bioester promotes replenishing effects in epidermal tissue. Sci Rep 10, 19392 (2020).

Download citation


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing