Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-23T09:49:17.710Z Has data issue: false hasContentIssue false

In vitro effects of nutraceutical treatment on human osteoarthritic chondrocytes of females of different age and weight groups

Published online by Cambridge University Press:  24 September 2021

Mahmoud Amr
Affiliation:
Department of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA
Alia Mallah
Affiliation:
Department of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA
Haneen Abusharkh
Affiliation:
Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA 99164-6515, USA
Bernard Van Wie
Affiliation:
Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA 99164-6515, USA
Arda Gozen
Affiliation:
School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164-2920, USA
Juana Mendenhall
Affiliation:
Department of Chemistry, Morehouse College, Atlanta, GA 30314, USA
Vincent Idone
Affiliation:
Regeneron Pharmaceuticals Inc, Tarrytown, NY 10591, USA
Edwin Tingstad
Affiliation:
Inland Orthopedic Surgery and Sports Clinic, Pullman, WA 99163, USA
Nehal I. Abu-Lail*
Affiliation:
Department of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA
*
*Corresponding author: Nehal I. Abu-Lail, email [email protected]

Abstract

The in vitro effects of four nutraceuticals, catechin hydrate, gallic acid, α-tocopherol and ascorbic acid, on the ability of human osteoarthritic chondrocytes of two female obese groups to form articular cartilage (AC) tissues and to reduce inflammation were investigated. Group 1 represented thirteen females in the 50–69 years old range, an average weight of 100 kg and an average body mass index (BMI) of 34⋅06 kg/m2. Group 2 was constituted of three females in the 70–80 years old range, an average weight of 75 kg and an average BMI of 31⋅43 kg/m2. The efficacy of nutraceuticals was assessed in monolayer cultures using histological, colorimetric and mRNA gene expression analyses. AC engineered tissues of group 1 produced less total collagen and COL2A1 (38-fold), and higher COL10A1 (2⋅7-fold), MMP13 (50-fold) and NOS2 (15-fold) mRNA levels than those of group 2. In comparison, engineered tissues of group 1 had a significant decrease in NO levels from day 1 to day 21 (2⋅6-fold), as well as higher mRNA levels of FOXO1 (2-fold) and TNFAIP6 (16-fold) compared to group 2. Catechin hydrate decreased NO levels significantly in group 1 (1⋅5-fold) while increasing NO levels significantly in group 2 (3⋅8-fold). No differences from the negative control were observed in the presence of other nutraceuticals for either group. In conclusion, engineered tissues of the younger but heavier patients responded better to nutraceuticals than those from the older but leaner study participants. Finally, cells of group 2 formed better AC tissues with less inflammation and better extracellular matrix than cells of group 1.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society

Introduction

Articular cartilage (AC) is a tissue that surrounds moving joints, providing lubrication and serves as a load-bearing tissue in joints such as the knee. AC has a low cellular density of chondrocytes embedded in a highly organised extracellular matrix (ECM) composed mainly of collagen II and glycosaminoglycans (GAGs)(Reference Wong, Ponticiello and Kovanen1). The degradation of ECM due to injury(Reference Thomas, Hubbard-Turner and Wikstrom2), genetics(Reference Spector and MacGregor3), obesity(Reference King, March and Anandacoomarasamy4) and aging(Reference Shane Anderson and Loeser5) results in osteoarthritis (OA). OA affects more than 30 million people in the USA, causing a huge financial burden of an estimated $137 billion annually(6). OA worsens the quality of life, often progresses to disability. AC has a very limited ability to self-heal due to its avascularand alymphatic nature. The aneural nature of tissue results in lack of pain sensation and makes it difficult to detect OA in its early stages. OA has no approved disease-modifying drugs that can result in tissue healing. It is largely managed for symptomatic pain relief using pain killers, anti-inflammatory injections and intra-articular injections of lubricating polymers such as hyaluronic acid. Eventually and as the disease progresses, total knee replacement (TKR) surgery is needed(Reference Zhang, Ouyang and Dass7).

Many factors affect OA such as sex, aging and obesity(Reference King, March and Anandacoomarasamy4,Reference Shane Anderson and Loeser5) . In 2018, 49⋅6 % of self-reported OA patients were in ages above 65 compared to 29⋅3 % in ages 45–64 years old, and 30⋅3 % of the OA patients aged 18 and above were females compared to 22⋅9 % males(8). With aging, changes in the joint can be systemic such as loss of activity and balance, as well as increased cell senescence, the exact pathway of which is unknown(Reference Horton WE, Feng and Adams9). The first National Health and Nutrition Examination Survey has shown that obese females were four times at higher risk of knee OA than non-obese females(Reference Anderson and Felson10). Studies as well related the high levels of adipokines to an increase in MMP13 levels in obese patients(Reference Tilg and Moschen11). Finally, increase in mechanical loading on the joints leads to further destruction of degraded joints(Reference Oliveria, Felson and Cirillo12).

The exact underlying molecular mechanisms behind the evolution of OA are not very well understood. However, a great deal of effort has been directed towards the study of inflammation of the joint marked by oxidative stress in OA(Reference Henrotin, Kurz and Aigner13). In early stages of OA, chondrocytes express degradative enzymes like metalloproteinase (MMP)(Reference Naito, Takahashi and Kushida14) that are exacerbated by the production of inflammatory cytokines such as tumour necrosis alpha (TNF-α)(Reference Westacott, Barakat and Wood15) and interleukins (IL)(Reference Daheshia and Yao16). The increase in MMP levels leads to further degradation of the ECM denoted by a reduction in collagen II and an increase in chondrocytes' hypertrophy with higher levels of collagen I and collagen X expressed(Reference van der Kraan and van den Berg17). As such, controlling inflammation in OA is a step towards the control of ECM degradation.

Patients resort to natural and home remedies to alleviate the pain associated with OA and to reduce inflammation(Reference Oo, Yu and Daniel18). Nutraceuticals are naturally occurring anti-inflammatory and antioxidant chemicals available in everyday diets and sometimes are taken as supplements due to their general safety(Reference Kalra19). As antioxidants, nutraceuticals possess a scavenging ability of reactive oxygen species (ROS) . As such, they restore the balance in ROS levels and alleviate the oxidative stress. Nitric oxide (NO) is a major ROS, produced by NO synthase (NOS) in the event of inflammation, which acts as a mediator in pathophysiological processes in cells with an increase in NOS gene expression; indicating more inflammation in OA joints(Reference Vuolteenaho, Koskinen and Moilanen20). The exact mechanism of oxygen scavenging is nutraceutical-dependent. Because nutraceuticals are not regulated by the food and drug administration, many options are available over-the-counter. The responsibility to test the efficacy of these supplements towards OA relies upon the scientific community.

The lack of controlled studies investigating the underlying interconnected mechanisms of aging and excessive weight in OA in response to nutraceutical treatments motivated the present study. We studied the effect of four nutraceutical treatments: catechin hydrate (C), an active ingredient in green tea; gallic acid (G), available in gallnut; α-tocopherol (α or vitamin E), available in mixed nuts; ascorbic acid (AA or vitamin C), available in citrus fruits on inflammation reduction in chondrocytes obtained from obese female patients of two groups (group 1: 50–69 years old, an average weight of 100 kg and an average body mass index (BMI) of 34⋅06 kg/m2) and (group 2: 70–80 years old, an average weight of 75 kg and an average BMI of 31⋅43 kg/m2). The effects of nutraceuticals on chondrogenic enhancements were also assessed. Implications for the use of nutraceuticals as complementary dietary components for patients with OA are discussed.

Materials and methods

The following materials were acquired from Life Technologies Corp (Waltham, MA, USA): Alamar blue, collagenase type I, Dulbecco's modified Eagle's medium (DMEM), fetal bovine serum (FBS), fungizone, MagMAX™-96 for microarrays total RNA isolation kit, penicillin/streptomycin (Pen/Strep), and quant-iT PicoGreen kit and SuperScript® VILO™ master mix. The following materials were acquired from Millipore Sigma (St. Louis, MO, USA): α, AA, Bouin's fixative, catechin hydrate, chloroform, dimethyl sulphoxide (DMSO), ethanol, ethylenediaminetetraacetic acid (EDTA) disodium salt , G, iso-propanol, L-cysteine hydrochloric acid (HCl), Masson's trichrome kit, phosphoric acid, rat collagen I, sodium acetate, sodium nitrite, steriflip filters, sulphanilamide, toluidine blue, TRIzol, and trypan blue. The insoluble collagen kit was obtained from Biocolor Ltd (UK), phosphate-buffered saline (PBS) was obtained from GE Healthcare Life Sciences (Marlborough, MA, USA) and the TaqMan® gene expression master mix was obtained from Applied Biosystems (Grand Island, NY).

Isolation of human articular chondrocytes

Adult human articular chondrocytes (hAChs) were obtained from sixteen osteoarthritic female, Caucasian patients with stage 4 OA (International Cartilage Repair Society Scale) who underwent TKR surgeries. AC tissues discarded during surgeries were provided by Dr. Edwin Tingstad. The study was performed on two groups: Group 1: Age range 50–69 years, average age, weight and BMI: 63 years, 100 kg and 34⋅06 kg/m2, respectively, n 13; group 2: Age range: 70–80 years, average age, weight and BMI: 76 years, 75 kg and 31⋅43 kg/m2, respectively, n 3. The mean weights between the two groups were statistically different (Supplementary Figure S1), while the mean BMIs were not different. Since we can't control patients who undergo TKR, we selected our samples from those who did the surgery over a year. When it came to group 2, we were only able to collect samples from three female patients with the criteria identified earlier. We can speculate that the limited number of patients in group 2 who underwent TKR during the year was in part due to elderly patients having additional medical issues that prevent them from doing TKR surgeries or possibly due to lack of elderly population in Pullman, WA which is a small university town.

AC tissues were dissected into pieces from seemingly less inflamed regions. Tissues were washed three times with dissection medium (PBS containing 1 % Pen/Strep and 1 % Fungizone). AC tissues were digested overnight at 37°C and 125 rpm using a digestion medium (DMEM/Ham's F-12 containing 0⋅1 % collagenase yype I, 2 % FBS, 2 % Pen/Strep and 1 % fungizone) and then filtered through 40 μm Steriflip filters. The enzyme was deactivated by diluting the digested tissue with an expansion medium (DMEM/Ham's F-12 containing 10 % FBS, 1 % Pen/Strep and 1 % Fungizone), followed by three washes with DMEM and 10 min centrifugations at 1500 rpm. Cells were counted using 0⋅4 % trypan blue and then suspended in freezing medium (90 % expansion medium and 10 % DMSO) at a density of 1 million cells/ml in 2 ml freezing vials and frozen in a −84°C freezer until use.

The present study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human patients were approved by the Washington State University Institutional Review Board (IRB) #17087. Written informed consents were obtained from all patients.

Cell culture

Vials of frozen cells were thawed. Cells were washed three times with the expansion medium after thawing to get rid of residual freezing medium and counted with 0⋅4 % trypan blue. Cells were cultured at a seeding density of 16 million cells/ml. Cultures were incubated in a humidified CO2 incubator at 37°C for 21 days with the medium changed every other day. To study the effect of the four nutraceuticals (C, G, α and AA) on OA hAChs, four expansion media were prepared with a final concentration of 50 μM of each nutraceutical as well as a negative control (NC) medium that had no nutraceuticals. To perform experiments designed, OA hAChs were pooled from different donors to yield a representative mixture of chondrocytes for the two age and weight groups investigated. This was done for several reasons. First, pooling of cells is a common practice to reduce variability amongst donors(Reference Yang, Ogando and Barabino21Reference Trickey, Lee and Guilak24). Secondly, OA hAChs dedifferentiate upon expansion; limiting the ability to increase cell numbers to cell densities desired via expansion(Reference Tallheden, Bengtsson and Brantsing25). Finally, we wanted to investigate responses of primary cells and not expanded cells. After pooling, OA hACh suspensions were seeded at random in 24-well plates and were investigated in technical triplicates.

Cell viability

The Alamar blue test was performed to assess the viability of the cultured hAChs at day 21, according to manufacturers’ protocol. In short, Alamar blue reagent was added to medium to make a 10 % v/v and incubated at 37°C and 5 % CO2 for 4 hours. The absorbance was measured against a blank of medium and Alamar blue at a wavelength of 570 nm using Cytation 5 Multiplate Reader (BioTek, Winooski, VT, USA). Samples were run in triplicates. The value of the measured absorbance is an indication of cell viability as only living cells can reduce the active ingredient.

Nitric oxide assay

To determine the NO levels in culture medium, Greiss reaction was employed as described previously with some modifications(Reference Tsikas26). The reduction of NO3− to NO2− was detected spectrophotometrically by adding Griess reagents [0⋅1 % N-(1-Napthyl)ethylenediamine dihydrochloride (NED) in nanopure water (resistivity: 18⋅2 mΩ) and 1 % sulphanilamide in 5 % phosphoric acid] to the medium. A standard was prepared using a stock solution of 0⋅1 M sodium nitrite in nanopure water. Sulphanilamide and NED solutions were equilibrated to room temperature for 30 minutes before use. Volumes of 50 μl from media were placed in a 96-well plate in triplicate and 50 μl of sulphanilamide was added to each well. The mixture was incubated for 10 min at room temperature in the dark to which 50 μl of NED solution was added to each well. The new mixture was incubated for 10 more minutes at room temperature in the dark. The absorbance of the final mixture was then measured at 543 nm using a Cytation 5 Multiplate Reader.

Biochemical analyses of total collagen and DNA

Total collagen produced was measured using an insoluble collagen kit. A modified version of the manufacturer's protocol was used. Briefly, 400 μl/well of the dye was added and the plate was shaken for 30 minutes on an orbital shaker. The dye was then removed and 400 μl of acid/salt wash was added to remove the unbound dye. The mixture was incubated on the shaker for 10 minutes after which 400 μl of dye dissociation reagent was added to the wells to dissolve the bound dye. The dye was then taken to a 96-well plate and absorbance was measured at 550 nm using Cytation 5 Multiplate Reader. DNA's quantification was performed on the same samples after collagen's quantification, dye's removal and washing steps.

To determine the amount of DNA in the samples, Quant-iT PicoGreen kit was used according to the manufacturer's protocol. Briefly, cells were digested overnight at 60°C in 0⋅1 mg/ml papain digestion medium (0⋅2 M sodium phosphate buffer containing 8 mg/ml sodium acetate, 4 mg/ml EDTA disodium salt and 0⋅8 mg/ml L-cysteine HCl). 12⋅5 μl of the samples were added to a 96-well plate. To that, 87⋅5 μl of 1×TE buffer was added. After that, a 100 μl of 1:1000 diluted PicoGreen reagent was added. The well plate was incubated in the Cytation 5 Multiplate Reader with gentle shaking for 3 minutes after which the fluorescence was measured at an excitation of 480 nm and an emission of 520 nm.

Histology

Qualitatively, stainings of total collagen and total GAG were done using aniline blue (Masson's Trichrome) and Toluidine Blue, respectively. For both tests, on day 21, cells were fixed using Bouin's fixative for 15 minutes at 56°C. The fixative was washed with deionised (DI) water until its yellow colour cleared. For total collagen, the staining was done according to the manufacturer's protocol. Briefly, aniline blue was added to the wells for 10 minutes. The dye was removed and 1 % acetic acid was added to the wells to differentiate the colour. GAG's staining was carried out as previously described(Reference Terry, Chopra and Ovenden27). Briefly, the wells were covered by (0⋅1 % toluidine blue in 5 % acetic acid) for 5 minutes, the dye was washed using DI water. Histological images of the stained cultures were captured using a Nikon-inverted microscope (Nikon Corporation, Tokyo, Japan) at 10X magnification.

mRNA isolation and analysis

To quantify the amount of mRNA expressed in the cells, quantitative real-time polymerase chain reaction was used(Reference Quisenberry, Nazempour and Van Wie28). Briefly, total mRNA was isolated using TRIzol™. Chloroform was used to achieve phase separation between the aqueous and organic phases. The mRNA-containing aqueous phase was purified using MagMAX™-96 for microarrays total RNA isolation kit as per manufacturer's protocol. Total mRNA (up to 2⋅5 μg) was reverse transcribed to core DNA (cDNA) using SuperScript® VILO™ master mix. cDNA was amplified with TaqMan® gene expression master mix on an ABI 7900HT sequence detection system (Applied Biosystems, Grand Island, NY) and probes that are specific for the housekeeping gene human β-actin, COL2A1, COL10A1, ACAN, SOX9, FOXO1, MMP13, BMP2, TNFAIP6 and NOS2 were used. Relative gene expression was calculated using the ΔΔCT method previously described(Reference Livak and Schmittgen29), and fold differences were expressed as 2−ΔΔCT.

Statistical analysis

To study the significance of differences between the two groups, two-way ANOVA was performed with multiple comparisons using Tukey's test. Finally, Grubb's test was performed to remove outliers from the data(Reference Grubbs30). GraphPad Prism (GraphPad Software, San Diego, CA) was used.

Results

Cell viability

Chondrocytes derived from both groups were viable at day 21 with no significant differences in viability between treatment groups or between the two groups (two-way ANOVA) (Supplementary Figure S2).

ECM formation

Qualitatively, chondrocytes from both groups produced ECM proteins containing collagen and GAG as indicated by 21-days cultures (representative images in Fig. 1(a)). It has to be noted that the density of stained tissues in these images is not stoichiometrically correlated to contents of collagen and GAG in tissues imaged. As such, darker staining of GAG or collagen in images does not necessarily indicate a higher content of the markers imaged in the tissues. To quantify collagen's and GAG's formation stoichiometrically from all sample content, colorimetric assays were used. The present results indicated that, while G showed the only statistically significant increase in collagen by 3⋅2-fold (Fig. 1(b), two-way ANOVA), the general trend of increasing values of 1⋅7, 2⋅1, 2⋅3 and 1⋅0-fold was observed for NC, C, α and AA treatments, respectively.

Fig. 1. (a) Representative histological images of total collagen (Aniline Blue Staining) and GAG (Toluidine Blue Staining) for both groups (Objective: 10X), scale bar is shown in Supplementary Figure S3 (n=3). (b) Normalised total collagen per DNA measured at day 21 for chondrocytes of both groups (mean ± sem, n=3), not significant (ns): P > 0⋅05 and significant:*P < 0⋅05.

Nitric oxide levels

After culturing for 21 days, NO dropped for all studies, significantly for group 1 by an average of 2⋅6-fold (Fig. 2(a)). Though not significant, the very similar collective average drop of 2⋅3-fold for all but C corroborated the group 1 data. While adding nutraceuticals showed average drops from NC of 1⋅3-fold and 1⋅4-fold for groups 1 and 2 (except for C), respectively, only C tretament in group 1 showed a significant 1⋅5-fold drop from NC while increasing NO levels by 3⋅8-fold for group 2 (Fig. 2(b) and 2(c)).

Fig. 2. (a) NO levels of both groups at day 1 (mean ± sem, n = 15). Prior to any treatment at day 0, the NO content was averaged for all 15 samples representing the technical replicate for the negative control and that of each of the four nutraceuticals (4 × 3) investigated as they all come from the same pool prior to randomization of cells in wells. (b) and (c) NO levels of both groups measured at day 21 v. day 1, respectively (mean ± sem, n = 3). *P < 0⋅05, **P < 0⋅01, ****P < 0⋅0001.

mRNA relative gene expression of the ECM proteins (COL2A1, COL10A1 and ACAN)

In characterising the mRNA genes responsible for translating the main ECM components, a significant impact on participant weight is noted. We studied the chondrogenic genes COL2A1 and ACAN and the hypertrophic gene COL10A1. The present results indicated that group 2 expressed significantly more chondrogenic collagen II mRNA (Fig. 3(a)) (38-fold), which coincides with enhanced collagen production inferred by the data in Fig. 1(b). Significantly less osteogenic collagen X mRNA (Fig. 3(b)) (2⋅7-fold) was produced compared to group 1. Both groups (Fig. 3(c)) expressed similar levels of ACAN with no significant differences observed among treatments nor compared to NC.

Fig. 3. mRNA relative gene expressions of (a) COL2A1, (b) COL10A1 and (c) ACAN for both groups (mean ± sem, n3): **P < 0⋅01, ****P < 0⋅0001 and ns P > 0⋅05.

mRNA relative gene expression of the regulatory proteins (BMP-2, FOXO1 and SOX9)

The relative gene expressions of three important regulatory proteins of AC homoeostasis and function were assessed. These are the bone morphogenetic protein-2, forkhead-box O1 and sex-determining region Y box-9 (BMP-2, FOXO1 and SOX9). BMP-2 relative gene expression was higher in group 1 with significance from NC detected only in groups treated with C and G (5-fold)(Fig. 4(a)). No significant differences were detected in group 2 between treatments and NC (Fig. 4(a)). Group 1 expressed significantly more FOXO1 than group 2 for all treatments (2-fold), with no significant differences between treatments and NC in both groups (Fig. 4(b)). The levels of SOX9 mRNA relative gene expression were not significantly different between the two groups except for NC (Fig. 4(C)). Group 1 NC were significantly higher than group 2 NC (P < 0⋅05) (Fig. 4 (C)). No significant differences were detected between treatments and NC for both groups (Fig. 4(C).

Fig. 4. mRNA relative gene expressions of (a) BMP-2, (b) FOXO1 and (c) SOX9 for both groups (mean ± sem, n3). *P < 0⋅05, **P < 0⋅01, ***P < 0⋅001, ****P < 0⋅0001 and ns P > 0⋅05.

mRNA relative gene expression of inflammation-related markers (NOS2, MMP13 and TNFAIP6)

Group 1 expressed significantly more NOS genes than group 2 for all treatments (15-fold), with no significant differences between nutraceutical treatments for either group (Fig. 5(a)). These results confirm our NOS assay results measured with the Griess reaction (Fig. 2). Here, the present results indicated that MMP13 levels for group 1 were higher than those of group 2 (50-fold), with significance only between NC- and C-treated chondrocytes when comparing the two groups (Fig. 5(b)). Finally, group 1 expressed significantly more TNFAIP6 than group 2 (16-fold) (Fig. 5(c)). This was true except for α-treated chondrocytes in which differences were insignificant between both groups. No significance was detected between treatments and NC (Fig. 5(c)).

Fig. 5. mRNA relative gene expression of (a) NOS2, (b) MMP13 and (c) TNFAIP6 (mean ± sem, n3) for both groups. *P < 0⋅05, **P < 0⋅01, ***P < 0⋅001, ****P < 0⋅0001 and ns P > 0⋅05.

Discussion

The correlation between ECM markers, NO and gene expression in the present study provides insight towards understanding age and weight-dependent cellular responses to nutraceutical treatments of OA chondrocytes. Our main findings are summarised in Fig. 6(a). Briefly, we found no significant differences in response to nutraceutical treatments when compared to NC in both groups. However, we found that female patients in group 2 who were older yet leaner showed an inherently better phenotype and less inflammation than those of younger and more obese female patients of group 1 (Fig. 6(a)).

Fig. 6. (a) Summary of gene expression differences found between the two groups investigated. (b) Complex interplay between key markers of AC homoeostasis as described in the literature.

As we age, our body's natural ability to regenerate declines and we become prone to diseases. When it comes to OA, the changes can be at the whole joint level or at the tissue level. At the joint's level, changes such as weakened muscles or muscle loss, meniscus degeneration and bone density decrease are observed(Reference Englund, Guermazi and Roemer31). At the tissue's level, changes such as chondrocytes' senescence as indicated by telomere shortening(Reference Martin and Buckwalter32) and the formation of advanced glycation products (AGE) are evident. The creation of AGE leads to a decrease in mechanical properties of AC(Reference Verzijl, Bank and TeKoppele33). Additionally, with increasing age, chondrocytes lose their ability to respond to simulation by growth factors such as insulin-like growth factor 1 (TGF1) and transforming growth factor β 1 (TGF-β1)(Reference Guerne, Blanco and Kaelin34). Here, group 2 NO levels dropped from day 1 to day 21 but not significantly. However, group 1 and despite their NO levels being higher on day 1 than group 2 experienced a significant drop in NO by day 21. Note that no differences appear between nutraceutical treatments and NC except for the C treatment. Similar results were observed previously by Bharrhan et al., where they found that C reduced the NO levels in alcohol-induced liver injury(Reference Bharrhan, Koul and Chopra35). It was also observed that C regulated the levels of NO production by downregulating the inducible (iNOS) via inhibition of nuclear factor kappa B(Reference Ashafaq, Raza and Khan36). Additionally, Kaur et al. showed in vitro that C-loaded nanoparticles reduced the NO levels by competing with oxygen to prevent the formation of nitrites tested by the Griess reaction(Reference Kaur, Rajput and Nag37). Interestingly, C affected group 2 in an ooposite manner to group 1, which requires further investigation. Obesity is regarded as a state of low-grade systemic inflammation, where high levels of tumour necrosis factor-α (TNF-α), interlukin-6 (IL-6) and leptin have been observed in obese compared to normal adipocytes. This increase in adipocytes' inflammation can contribute to the worsening of OA symptoms making it a comorbidity or a risk factor(Reference Forsythe, Wallace and Livingstone38). It has also been shown that weight loss leads to a decrease in inflammatory markers such as TNF-α and IL-6 and an increase in anti-inflammatory markers such as adiponectin(Reference Forsythe, Wallace and Livingstone38). Pallu et al. found that chondrocytes derived from obese patients treated with leptin showed an overexpression of MMP13 suggesting a direct correlation between obesity and OA(Reference Pallu, Francin and Guillaume39). The worsening of OA in obese patients could also be attributed to excessive joint loading shown to increase levels of matrix-degrading enzymes(Reference Oliveria, Felson and Cirillo12).

Among the undesired phenotypes found for group 1 in comparison to group 2 were the lower levels of COL2A1 as well as the higher levels of NOS2 and MMP13 mRNA. Van den Berg et al. reported that iNOS knockout in mice made them resistant to experimental OA(Reference van den Berg, van de Loo and Joosten40). Murrell et al. found that the inhibition of NO produced by iNOS through TNF-α and IL-1β inhibited MMP activity(Reference Murrell, Jang and Williams41). In healthy mammalian cells, the MMP enzyme family plays a critical role in matrix remodelling like in wound healing. MMPs help in the embryonic development of the cartilage-bone interface and they are involved in tissue turnover in adult cartilage(Reference Rose and Kooyman42). However, the upregulation of MMPs, especially MMP13, has been linked to OA's progression and cartilage degradation(Reference Li, Wang and Yuan43). MMP13 degrades the ECM matrix by degrading both collagen II and aggrecan (Fig. 5(b))(Reference Zhang, Ouyang and Dass7).

We further observed that for group 1, levels of BMP2 were higher than group 2, accompanied by higher levels of the hypertrophic COL10A1 (Fig. 3(b)). We also observed a duality in SOX9 action in chondrocytes as both groups had similar levels of SOX9, yet group 1 had higher COL10A1 while group 2 had higher COL2A1 mRNA levels. BMP-2 and SOX9 are two important proteins in controlling chondrocytes' differentiation. BMP-2 is a regulatory protein that is essential for chondrocytes' functionality. It acts however as a two-edged sword promoting chondrocytes' synthesis of ECM but also leading to terminal differentiation when accompanied by other degradative enzymes from the MMP enzyme family such as MMP13(Reference van der Kraan, Blaney Davidson and van den Berg44). The latter explains what we have observed with group 1 (Figs. 6(a) and (b)). SOX9 is a DNA-binding protein that plays a key role in early developmental stages of chondrocytes(Reference Jo, Denduluri and Zhang45). However, the function of SOX9 is time-dependent; continued expression of SOX9 in differentiated chondrocytes is essential for hypertrophy and survival, with latter inactivation in round chondrocytes resulting in COL2A1 inhibition or under regulation, while flat chondrocytes mature without hypertrophy that leads to apoptosis(Reference Ikegami, Akiyama and Suzuki46).

Furthermore, the present results indicated that group 1 expressed more FOXO1 and TNFAIP6 than group 2 (Fig. 6(a)). These results suggest that cells of group 1 are responding to nutraceutical tretament by reducing inflammation and attempting repair of the damaged tissue. FOXO transcription factors have gained a lot of interest in recent years when it comes to OA(Reference Matsuzaki, Alvarez-Garcia and Mokuda47). FOXO family has been shown to be upregulated in the inflammatory environments and have a chondroprotective role through regulating stress-related, cell growth, and survival genes and by modulating autophagy(Reference Tia, Singh and Pandey48). FOXO1 is necessary for SOX9 gene expression as well as for cell cycle arrest in chondrogenic differentiation via the TGF-β1 pathway (Fig. 6(b)(Reference Kurakazu, Akasaki and Hayashida49). It regulates the gene expression of ACAN and COL2A1 (Fig. 6(b))(Reference Duffy, Bekki and Lotz50). TNFAIP6 is an anti-inflammatory protein that is induced by TNF-α cytokine. TNFAIP6 has a hyaluronan-binding domain that serves a role in ECM's stability and cellular migration. Overexpression of TNFAIP6 has been found in patients suffering from knee OA(Reference Chou, Attarian and Wisniewski51). TNFAIP forms a complex with inter-α-inhibitor which is a protease inhibitor which in turn leads to inhibition of MMPs(Reference Day and Milner52).

The differences observed in gene expression between NC and day 21 cultures for both groups as a function of nutraceutical treatment are summarised in Supplementary Table S1 which may provide insights that can be used in future studies since statistical significance was not detected. The nutraceuticals used did not protect against hypertrophy as the levels of COL2A1 and ACAN have been reduced compared to NC, while the levels of BMP-2 increased for all treatments (Fig. 6(a)). However, all nutraceuticals for both groups reduced NOS and MMP13 levels compared to NC. This reduction suggests that nutraceutical treatment may help alleviate the inflammation and reduce matrix degradation. However, such positive effects are not sufficient to counteract hypertrophy which could have been manifested due to two-dimensional (2D) culture dedifferentiation(Reference Duan, Ma and Liang53). Cells treated with AA seemed to have a more hypertrophic phenotype compared to cells treated with other nutraceuticals as evident from the reduced levels of collagen II and aggrecan, and increased level of collagen X. This could be due to the dual functionality of AA as an osteogenic and a chondrogenic inducer (Reference Langenbach and Handschel54). All nutraceuticals led to an increase in the chondroprotective TNFAIP6-gene expression. Chondrocytes of group 2 responded well to C and AA treatment, as they have caused an increase in TNFAIP6 and a decrease in NOS2 and subsequently a decrease in MMP13. Akolkar et al. noted that AA can act as an antioxidant by reducing NO levels via downregulating iNOS and endothelial NOS in doxorubicin-induced inflammation in cardiac cells(Reference Akolkar, Bagchi and Ayyappan55). Similar effect for C has been observed where it downregulated iNOS levels in focal cerebral ischaemia(Reference Ashafaq, Raza and Khan36). These results suggest a chondroprotective role for AA and C, with C significantly decreasing NO levels in cells of group 1.

In summary, the present results showed that chondrocytes of elder and leaner females (group 2) showed inherently better phenotype and less inflammation than younger and heavier females (group 1) after 21-days culture in vitro by expressing higher COL2A1 and less MMP13, TNFAIP6 and NOS2. These findings stress the importance of weight management to help combat the progression and worsening of OA. However, chondrocytes of group 1 responded better to nutraceuticals compared to group 2 by expressing genes for anti-inflammatory proteins. C decreased NO levels in group 1 and increased NO levels in group 2 significantly, which suggests an age-dependent effect of C. Trends in nutraceutical treatment show that all nutraceuticals led to a reduction in gene expressions of NOS2 and MMP13 and an increase in the chondroprotective protein TNFAIP6's gene expression in group 1. The nutraceuticals did not protect against hypertrophy and dedifferentiation. Finally, our findings suggest the importance of three-dimensional (3D) culture to ensure a proper chondrogenic phenotype while alleviating inflammation, which may in turn help improve AC regeneration. For future work, investigating a full panel of inflammatory proteins could provide a better understanding of the mechanisms presented in the present paper.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/jns.2021.79.

Acknowledgments

We thank Regeneron Pharmaceuticals Inc. (Tarrytown, NY, USA) for mRNA samples processing.

This work was supported in part by an NSF GOALI under grant CBET-1606226 and A.M. and H.A. were partially supported by the National Institute of Health (NIH) under grant GM008336.

The conceptualisation of the study was the effort of all authors. The experiments were carried out by M.A., A.M. and H.A. The validation of experiments was done by all authors. Formal analysis of results and data curation were done by M.A. Resources were provided by N.I.A.-L. Writing and original draft preparation was performed by M.A. Editing was done by N.I.A.-L. Funding acquisition was done by N.I.A.-L., B.V.W., A.G. and J.M. All authors have read and agreed to the published version of the manuscript.

All authors declare no conflict of interest.

References

Wong, M, Ponticiello, M, Kovanen, V, et al. (2000) Volumetric changes of articular cartilage during stress relaxation in unconfined compression. J Biomech 33, 10491054.CrossRefGoogle ScholarPubMed
Thomas, AC, Hubbard-Turner, T, Wikstrom, EA, et al. (2016) Epidemiology of posttraumatic osteoarthritis. J Athl Train 52, 491496.CrossRefGoogle ScholarPubMed
Spector, TD & MacGregor, AJ (2004) Risk factors for osteoarthritis: genetics. Osteoarthr Cartil 12, S39S44.CrossRefGoogle ScholarPubMed
King, LK, March, L & Anandacoomarasamy, A (2013) Obesity & osteoarthritis. Indian J Med Res 138, 185193.Google ScholarPubMed
Shane Anderson, A & Loeser, RF (2010) Why is osteoarthritis an age-related disease? Best Pract Res Clin Rheumatol 24, 1526.CrossRefGoogle ScholarPubMed
Initiative USBaJ (2018) The Burden of Musculoskeletal Diseases in the United States (BMUS), 4th edn. Rosemont, IL. Available from: https://www.boneandjointburden.org/fourth-edition.Google Scholar
Zhang, W, Ouyang, H, Dass, CR, et al. (2016) Current research on pharmacologic and regenerative therapies for osteoarthritis. Bone Res 4, 15040.CrossRefGoogle ScholarPubMed
Centers for Disease Control and Prevention NCfCDPaHP, Division of Population Health (2016) Chronic Disease Indicators (CDI) Data. Available from: https://nccd.cdc.gov/cdi.Google Scholar
Horton WE, J, Feng, L & Adams, C (1998) Chondrocyte apoptosis in development, aging and disease. Matrix Biol 17, 107115.CrossRefGoogle ScholarPubMed
Anderson, JJ & Felson, DT (1988) Factors associated with osteoarthritis of the knee in the first national Health and Nutrition Examination Survey (HANES i). Evidence for an association with overweight, race, and physical demands of work. Am J Epidemiol 128, 179189.CrossRefGoogle Scholar
Tilg, H & Moschen, AR (2006) Adipocytokines: mediators linking adipose tissue, inflammation and immunity. Nat Rev Immunol 6, 772783.CrossRefGoogle ScholarPubMed
Oliveria, SA, Felson, DT, Cirillo, PA, et al. (1999) Body weight, body mass index, and incident symptomatic osteoarthritis of the hand, hip, and knee. Epidemiology 10, 161166.CrossRefGoogle ScholarPubMed
Henrotin, Y, Kurz, B & Aigner, T (2005) Oxygen and reactive oxygen species in cartilage degradation: friends or foes? Osteoarthr Cartil 13, 643654.CrossRefGoogle ScholarPubMed
Naito, K, Takahashi, M, Kushida, K, et al. (1999) Measurement of matrix metalloproteinases (MMPs) and tissue inhibitor of metalloproteinases-1 (TIMP-1) in patients with knee osteoarthritis: comparison with generalized osteoarthritis. Rheumatology 38, 510515.CrossRefGoogle ScholarPubMed
Westacott, CI, Barakat, AF, Wood, L, et al. (2000) Tumor necrosis factor alpha can contribute to focal loss of cartilage in osteoarthritis. Osteoarthr Cartil 8, 213221.CrossRefGoogle ScholarPubMed
Daheshia, M & Yao, JQ (2008) The interleukin 1beta pathway in the pathogenesis of osteoarthritis. J Rheumatol 35, 23062312.CrossRefGoogle ScholarPubMed
van der Kraan, PM & van den Berg, WB (2012) Chondrocyte hypertrophy and osteoarthritis: role in initiation and progression of cartilage degeneration? Osteoarthr Cartil 20, 223232.CrossRefGoogle ScholarPubMed
Oo, WM, Yu, SP, Daniel, MS, et al. (2018) Disease-modifying drugs in osteoarthritis: current understanding and future therapeutics. Expert Opin Emerg Drugs 23, 331347.CrossRefGoogle ScholarPubMed
Kalra, EK (2003) Nutraceutical–definition and introduction. AAPS PharmSciTech 5, E25.Google ScholarPubMed
Vuolteenaho, K, Koskinen, A & Moilanen, E (2014) Leptin – a link between obesity and osteoarthritis. Applications for prevention and treatment. Basic Clin Pharmacol Toxicol 114, 103108.CrossRefGoogle ScholarPubMed
Yang, YK, Ogando, CR & Barabino, GA (2020) In vitro evaluation of the influence of substrate mechanics on matrix-assisted human chondrocyte transplantation. J Funct Biomater 11, 1.CrossRefGoogle ScholarPubMed
Ofek, G, Revell, CM, Hu, JC, et al. (2008) Matrix development in self-assembly of articular cartilage. PLoS One 3, 2795.CrossRefGoogle ScholarPubMed
Pereira, RC, Scaranari, M, Benelli, R, et al. (2013) Dual effect of platelet lysate on human articular cartilage: a maintenance of chondrogenic potential and a transient proinflammatory activity followed by an inflammation resolution. Tissue Eng Part A 19, 14761488.CrossRefGoogle Scholar
Trickey, WR, Lee, GM & Guilak, F (2000) Viscoelastic properties of chondrocytes from normal and osteoarthritic human cartilage. J Orthop Res 18, 891898.CrossRefGoogle ScholarPubMed
Tallheden, T, Bengtsson, C, Brantsing, C, et al. (2005) Proliferation and differentiation potential of chondrocytes from osteoarthritic patients. Arthritis Res Ther 7, R560.CrossRefGoogle ScholarPubMed
Tsikas, D (2007) Analysis of nitrite and nitrate in biological fluids by assays based on the Griess reaction: appraisal of the Griess reaction in the L-arginine/nitric oxide area of research. J Chromatogr B Analyt Technol Biomed Life Sci 851, 5170.CrossRefGoogle ScholarPubMed
Terry, DE, Chopra, RK, Ovenden, J, et al. (2000) Differential use of Alcian blue and toluidine blue dyes for the quantification and isolation of anionic glycoconjugates from cell cultures: application to proteoglycans and a high-molecular-weight glycoprotein synthesized by articular chondrocytes. Anal Biochem 285, 211219.CrossRefGoogle Scholar
Quisenberry, CR, Nazempour, A, Van Wie, BJ, et al. (2016) Evaluation of beta1-integrin expression on chondrogenically differentiating human adipose-derived stem cells using atomic force microscopy. Biointerphases 11, 021005.CrossRefGoogle ScholarPubMed
Livak, KJ & Schmittgen, TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25, 402408.CrossRefGoogle Scholar
Grubbs, FE (1950) Sample criteria for testing outlying observations. Ann Math Stat 21, 2758.CrossRefGoogle Scholar
Englund, M, Guermazi, A, Roemer, FW, et al. (2009) Meniscal tear in knees without surgery and the development of radiographic osteoarthritis among middle-aged and elderly persons: the Multicenter Osteoarthritis Study. Arthritis Rheum 60, 831839.CrossRefGoogle ScholarPubMed
Martin, JA & Buckwalter, JA (2001) Telomere erosion and senescence in human articular cartilage chondrocytes. J Gerontol Series A 56, B172B179.CrossRefGoogle ScholarPubMed
Verzijl, N, Bank, RA, TeKoppele, JM, et al. (2003) AGEing and osteoarthritis: a different perspective. Curr Opin Rheumatol 15, 616622.CrossRefGoogle ScholarPubMed
Guerne, PA, Blanco, F, Kaelin, A, et al. (1995) Growth factor responsiveness of human articular chondrocytes in aging and development. Arthritis Rheum 38, 960968.CrossRefGoogle ScholarPubMed
Bharrhan, S, Koul, A, Chopra, K, et al. (2011) Catechin suppresses an array of signalling molecules and modulates alcohol-induced endotoxin mediated liver injury in a Rat model. PLoS One 6, e20635.CrossRefGoogle ScholarPubMed
Ashafaq, M, Raza, SS, Khan, MM, et al. (2012) Catechin hydrate ameliorates redox imbalance and limits inflammatory response in focal cerebral ischemia. Neurochem Res 37, 17471760.CrossRefGoogle ScholarPubMed
Kaur, R, Rajput, R, Nag, P, et al. (2017) Synthesis, characterization and evaluation of antioxidant properties of catechin hydrate nanoparticles. J Drug Deliv Sci Technol 39, 398407.CrossRefGoogle Scholar
Forsythe, LK, Wallace, JM & Livingstone, MB (2008) Obesity and inflammation: the effects of weight loss. Nutr Res Rev 21, 117133.CrossRefGoogle ScholarPubMed
Pallu, S, Francin, PJ, Guillaume, C, et al. (2010) Obesity affects the chondrocyte responsiveness to leptin in patients with osteoarthritis. Arthritis Res Ther 12, R112.CrossRefGoogle ScholarPubMed
van den Berg, WB, van de Loo, F, Joosten, LA, et al. (1999) Animal models of arthritis in NOS2-deficient mice. Osteoarthr Cartil 7, 413415.CrossRefGoogle ScholarPubMed
Murrell, GA, Jang, D & Williams, RJ (1995) Nitric oxide activates metalloprotease enzymes in articular cartilage. Biochem Biophys Res Commun 206, 1521.CrossRefGoogle ScholarPubMed
Rose, BJ & Kooyman, DL (2016) A tale of two joints: the role of matrix metalloproteases in cartilage biology. Dis Markers 2016, 4895050.CrossRefGoogle ScholarPubMed
Li, H, Wang, D, Yuan, Y, et al. (2017) New insights on the MMP-13 regulatory network in the pathogenesis of early osteoarthritis. Arthritis Res Ther 19, 248.CrossRefGoogle ScholarPubMed
van der Kraan, PM, Blaney Davidson, EN & van den Berg, WB (2010) Bone morphogenetic proteins and articular cartilage: to serve and protect or a wolf in sheep clothing's? Osteoarthr Cartil 18, 735741.CrossRefGoogle ScholarPubMed
Jo, A, Denduluri, S, Zhang, B, et al. (2014) The versatile functions of Sox9 in development, stem cells, and human diseases. Genes Dis 1, 149161.CrossRefGoogle ScholarPubMed
Ikegami, D, Akiyama, H, Suzuki, A, et al. (2011) Sox9 sustains chondrocyte survival and hypertrophy in part through Pik3ca-Akt pathways. Development 138, 1507.CrossRefGoogle ScholarPubMed
Matsuzaki, T, Alvarez-Garcia, O, Mokuda, S, et al. (2018) Foxo transcription factors modulate autophagy and proteoglycan 4 in cartilage homeostasis and osteoarthritis. Sci Transl Med 10(428), eaan0746, doi:10.1126/scitranslmed.aan0746.CrossRefGoogle ScholarPubMed
Tia, N, Singh, AK, Pandey, P, et al. (2018) Role of Forkhead Box O (FOXO) transcription factor in aging and diseases. Gene 648, 97105.CrossRefGoogle Scholar
Kurakazu, I, Akasaki, Y, Hayashida, M, et al. (2019) FOXO1 transcription factor regulates chondrogenic differentiation through transforming growth factor β1 signaling. J Biol Chem 294, 1755517569.CrossRefGoogle ScholarPubMed
Duffy, T, Bekki, H & Lotz, MK (2020) Genome-wide occupancy profiling reveals critical roles of FOXO1 in regulating extracellular matrix and circadian rhythm genes in human chondrocytes. Arthritis Rheumatol 27(9), 15141523.CrossRefGoogle Scholar
Chou, CH, Attarian, DE, Wisniewski, HG, et al. (2018) TSG-6 – a double-edged sword for osteoarthritis (OA). Osteoarthr Cartil 26, 245254.CrossRefGoogle Scholar
Day, AJ & Milner, CM (2019) TSG-6: a multifunctional protein with anti-inflammatory and tissue-protective properties. Matrix Biol 78-79, 6083.CrossRefGoogle ScholarPubMed
Duan, L, Ma, B, Liang, Y, et al. (2015) Cytokine networking of chondrocyte dedifferentiation in vitro and its implications for cell-based cartilage therapy. Am J Transl Res 7, 194208.Google ScholarPubMed
Langenbach, F & Handschel, J (2013) Effects of dexamethasone, ascorbic acid and beta-glycerophosphate on the osteogenic differentiation of stem cells in vitro. Stem Cell Res Ther 4, 117.CrossRefGoogle ScholarPubMed
Akolkar, G, Bagchi, AK, Ayyappan, P, et al. (2017) Doxorubicin-induced nitrosative stress is mitigated by vitamin C via the modulation of nitric oxide synthases. Am J Physiol Cell Physiol 312, C418C427.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. (a) Representative histological images of total collagen (Aniline Blue Staining) and GAG (Toluidine Blue Staining) for both groups (Objective: 10X), scale bar is shown in Supplementary Figure S3 (n=3). (b) Normalised total collagen per DNA measured at day 21 for chondrocytes of both groups (mean ± sem, n=3), not significant (ns): P > 0⋅05 and significant:*P < 0⋅05.

Figure 1

Fig. 2. (a) NO levels of both groups at day 1 (mean ± sem, n = 15). Prior to any treatment at day 0, the NO content was averaged for all 15 samples representing the technical replicate for the negative control and that of each of the four nutraceuticals (4 × 3) investigated as they all come from the same pool prior to randomization of cells in wells. (b) and (c) NO levels of both groups measured at day 21 v. day 1, respectively (mean ± sem, n = 3). *P < 0⋅05, **P < 0⋅01, ****P < 0⋅0001.

Figure 2

Fig. 3. mRNA relative gene expressions of (a) COL2A1, (b) COL10A1 and (c) ACAN for both groups (mean ± sem, n3): **P < 0⋅01, ****P < 0⋅0001 and ns P > 0⋅05.

Figure 3

Fig. 4. mRNA relative gene expressions of (a) BMP-2, (b) FOXO1 and (c) SOX9 for both groups (mean ± sem, n3). *P < 0⋅05, **P < 0⋅01, ***P < 0⋅001, ****P < 0⋅0001 and ns P > 0⋅05.

Figure 4

Fig. 5. mRNA relative gene expression of (a) NOS2, (b) MMP13 and (c) TNFAIP6 (mean ± sem, n3) for both groups. *P < 0⋅05, **P < 0⋅01, ***P < 0⋅001, ****P < 0⋅0001 and ns P > 0⋅05.

Figure 5

Fig. 6. (a) Summary of gene expression differences found between the two groups investigated. (b) Complex interplay between key markers of AC homoeostasis as described in the literature.

Supplementary material: File

Amr et al. supplementary material

Amr et al. supplementary material

Download Amr et al. supplementary material(File)
File 2.6 MB