Edited by: Paul De Vos, University Medical Center Groningen, Netherlands
Reviewed by: Mourad Aribi, University of Tlemcen, Algeria; Christopher Alan Jolly, University of Texas at Austin, United States
Specialty section: This article was submitted to Nutritional Immunology, a section of the journal Frontiers in Immunology
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Sexual dimorphism in immune response is widely recognized, but few human studies have observed this distinction. Food with endo-immunomodulatory potential may reveal novel sex-biased
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Sexual dimorphism in immune response of the innate and adaptive systems has been extensively reviewed in literature and manifested in differential resistance to infections. Females in general are better than males in defense against a variety of bacterial, viral, and parasitic infestations (
Sex differences in non-communicable diseases are also observed in particular autoimmune diseases (
Immunomodulatory potentials of phytochemicals and purified components of natural products are well studied. Whole food and its nutrients also have immunomodulatory effects, health healing potential, and play a role in homeostatic maintenance of the immune system but are less investigated. Grape juice consumption mobilized gamma–delta T cells and maintained immunity in healthy humans (
We examined the potential of papaya fruit to modulate immune profiles and sex hormones in healthy male and female individuals. We observed differential immune profiles in sexes after papaya consumption, which may be influenced by sex hormones.
Apparently healthy individuals, age 18–35 years old, with no history of chronic or acute illness, no recent history of vaccination, piercing or blood transfusion, and not on medication or supplements were included. A total of 33 subjects, 15 males and 18 females, were recruited and underwent a papaya supplementation experiment. Subsequent lab investigations, however, were not conducted on all samples collected. Female subjects were enlisted during their second or third week after onset of menstruation and determined not on oral contraceptive. This study was approved by the Medical Research Ethics Committee, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia. All procedures complied with the principles of the Declaration of Helsinki. Informed written consents were obtained from participants.
A 5-day experiment was designed. Two subjects, one male and one female, were randomly selected at a time. Food intake was controlled with provision of standard meals consisting of bread/rice/noodle, chicken, vegetables, and liquid. The menu for day 3 and day 4 were replicates of day 1 and day 2, respectively. A pre-exposure period of 2 days (without papaya) was followed by 2 days with 100 g of fresh papaya fruit (fruit color index 4) in the day’s three major meals. Daily dietary recall was conducted to confirm that the fruit provided each time was completely consumed while a medical call was carried out to determine no adverse effects. A peripheral blood sample (20 ml) was collected in K2EDTA vacutainers in the morning before meal of day 3 (0 h) and day 5 (48 h). Either whole blood or peripheral blood mononuclear cells (PBMCs) was used in the experiments. Whole blood was used directly after withdrawal. PBMC was isolated by density centrifugation with Ficoll-Paque (GE Healthcare, USA) and stored over liquid nitrogen until further use. Plasma was collected and stored at −80°C for measurement of sex hormones levels.
Percentages and absolute counts of lymphocyte subsets in whole blood were determined with the BD Multitest™ IMK kit (BD Biosciences, USA) containing antibodies against CD45, CD3, CD4, CD8, and CD16+CD56 together with BD Trucount tubes, according to procedures provided by manufacturer. All samples were tested. Cells were acquired on a BD FACSCanto flow cytometer (BD) and analyzed with FACSCanto Clinical Software (BD).
From here on, only nine paired samples from males and nine paired samples from females were tested. Subsequent missing samples were due to loss of data during a transition period. For surface marker studies, heparinized whole blood sample (100 μl) was incubated with monoclonal antibodies to CD4-PerCP, CD45RA-FITC, CD25-APC, and CD69-PE purchased from Becton Dickinson (USA), following standard procedures. Briefly, after 20 min incubation in dark at 4°C, red blood cells were lysed with 1× lysing solution (Becton Dickinson, USA). After washing with 1× PBS, cells were re-suspended in 500 μl of 2% paraformaldehyde. Ten thousand events gated on CD4+ bright population were acquired on a flow cytometer (BD LSR-Fortessa) and analyzed using FACSDiva (Becton Dickinson, USA).
Whole blood (600 μl) diluted with equal volume of RPMI 1640 medium without FBS was dispensed in BD Falcon polystrene tubes and incubated with 400 ng/ml phorbol myristate acetate (PMA) (Sigma-Aldrich, USA) together with calcium ionophore (Sigma-Aldrich, USA) and golgi stop containing monensin (Becton Dickinson, USA) for 6 h at 37°C and 5% CO2. After incubation, four-color staining (FITC/PE/APC/PerCP) for lineage markers, CD3, CD8, and CD56 and one of the surface IL receptor, IL-12Rβ2-PE, IL-15Rα-PerCP, or IL-21R-PE was performed. Subsequently, RBC was lysed with 1× lysing solution (Becton Dickinson, USA) following manufacturer’s protocol and then fixed with 2% paraformaldehyde before analysis using BD FACSDiva software on LSR-Fortessa flow cytometer (BD).
The same stimulation procedure as above (cytokine receptors) was carried out. After 6 h incubation, cell surface staining for lineage specific markers (CD3, CD8, CD56) was performed. To detect IFN-γ secretion, cells were fixed with 2% paraformaldehyde followed by permeabilization with BD Perm/Wash solution before staining for intracellular IFN-γ PE-labeled antibody. Cells were analyzed on BD LSR-Fortessa flow cytometer (BD).
Peripheral blood mononuclear cell (1 × 106 cells/ml) from volunteers were re-suspended in 500 μl of complete RPMI 1640 medium in BD Falcon polystrene tubes and incubated with 100 ng/ml PMA with calcium ionophore and golgi stop-containing monensin. PBMC was also incubated with monoclonal antibody to CD107a. Tubes were vortexed gently and incubated for 5 h in dark at 37°C with 5% CO2. Subsequently, cells were washed with PBS, stained with monoclonal antibodies specific for CD3, CD8, and CD56 and analyzed on BD LSR-Fortessa flow cytometer (BD, USA).
Measurement of sex hormone levels was outsourced to a local pathology laboratory for detection of 17β-estradiol, progesterone, and testosterone serum levels using System ARCHITECT ci8200 together with respective kits. Normal ranges were provided with the kits. Levels of sex hormones (17β-estradiol, progesterone, and testosterone) were then correlated with immune profiles determined in the study.
The Shapiro–Wilk and Kolmogorov–Sminov tests showed non-normal distribution of the data collected here; therefore, non-parametric Wilcoxon matched pair test was used to compare paired groups and Spearman’s correlation test was performed to determine associations from changes in variables that occurred after papaya consumption. Statistical analysis was performed using SPSS (version 22.0).
Comparison between males and females for all parameters combined for the two time points showed significantly lower percentages of total CD3-CD56/16+ NK cells in females. Interestingly, a non-CD4 lymphocyte subpopulation with activated features (CD45RA−CD69+CD25−) was significantly higher (10.4 ± 9.4 vs 5.3 ± 2.3,
Mean ± SD values of sex hormones and immune parameters in healthy males and females, combined (all samples) and pre- and post-papaya consumption.
Pre-papaya vs post-papaya |
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All samples | All subjects | Male | Female | All | M | F | |||||||||||
Male | Female | M vs F | Pre- | Post- | Pre- | Post- | Pre- | Post- | (Pre- vs Post-) | ||||||||
Estradiol (pmol/l) | 98.1 ± 26.5 | 18 | 396.9 ± 429.9 | 18 | 191.5 ± 147.9 | 303.5 ± 451.9 | 18 | 100.3 ± 23.9 | 95.8 ± 30.1 | 9 | 282.7 ± 165.0 | 511.1 ± 579.7 | 9 | ||||
Progesterone (nmol/l) | 18 | 6.4 ± 9.7 | 18 | 2.8 ± 6.8 | 4.0 ± 8.1 | 18 | 0.3 ± 0.0 | 0.3 ± 0.0 | 9 | 5.2 ± 9.2 | 7.61 ± 0.5 | 9 | |||||
Testosterone (nmol/l) | 7.5 ± 2.5 | 18 | 0.8 ± 0.5 | 18 | 4.3 ± 4.0 | 4.0 ± 3.8 | 18 | 7.8 ± 2.5 | 7.2 ± 2.7 | 9 | 0.8 ± 0.4 | 0.8 ± 0.7 | 9 | ||||
CD3+CD4+ % | 32.9 ± 6.1 | 30 | 37.1 ± 8.9 | 36 | 34.8 ± 8.3 | 35.6 ± 7.8 | 33 | 32.4 ± 6.1 | 33.4 ± 6.4 | 15 | 36.8 ± 9.4 | 37.5 ± 8.5 | 18 | ||||
CD3+CD4+ cnt | 858.5 ± 264.2 | 30 | 980.1 ± 543.2 | 36 | 927.6 ± 485.2 | 922.0 ± 397.6 | 33 | 857 ± 254.6 | 860.0 ± 282.5 | 15 | 986.4 ± 617.8 | 973.7 ± 475.0 | 18 | ||||
CD3+CD8+ % | 28.1 ± 9.1 | 30 | 28.7 ± 6.7 | 36 | 28.4 ± 8.0 | 28.5 ± 7.7 | 33 | 28.3 ± 9.3 | 28.0 ± 9.1 | 15 | 28.5 ± 7.0 | 29.0 ± 6.6 | 18 | ||||
CD3+CD8+ cnt | 748.4 ± 352.0 | 30 | 719.0 ± 295.1 | 36 | 741.2 ± 345.0 | 723.6 ± 297.9 | 33 | 766.8 ± 372.7 | 730.1 ± 342.0 | 15 | 719.8 ± 329.6 | 718.2 ± 265.8 | 18 | ||||
CD3−CD16+ 56% | 16.8 ± 5.9 | 30 | 13.6 ± 5.2 | 36 | 15.7 ± 6.0 | 14.4 ± 5.5 | 33 | 17.1 ± 6.0 | 16.4 ± 6.1 | 15 | 14.6 ± 5.8 | 12.7 ± 4.4 | 18 | ||||
CD3−CD16+56 cnt | 465.3 ± 274.9 | 30 | 343.5 ± 202.5 | 36 | 413.2 ± 245.1 | 384.5 ± 245.9 | 33 | 474.6 ± 264.9 | 456.1 ± 293.5 | 15 | 362.1 ± 221.7 | 324.8 ± 185.9 | 18 | ||||
CD3−CD19+ % | 13.6 ± 3.5 | 30 | 14.9 ± 5.2 | 36 | 14.1 ± 4.4 | 14.4 ± 4.7 | 33 | 13.7 ± 3.8 | 13.5 ± 3.4 | 15 | 14.5 ± 5.0 | 15.2 ± 5.5 | 18 | ||||
CD3−CD19+ cnt | 362.8 ± 151.7 | 30 | 373.1 ± 199.3 | 36 | 370.0 ± 194.3 | 366.8 ± 163.1 | 33 | 371.4 ± 153.7 | 354.2 ± 154.7 | 15 | 368.9 ± 227.1 | 377.4 ± 173.6 | 18 | ||||
CD4+CD45RA+ | 14.3 ± 4.3 | 16 | 16.2 ± 6.4 | 16 | 15.6 ± 5.4 | 15.0 ± 5.7 | 16 | 14.9 ± 5.1 | 13.8 ± 3.5 | 8 | 16.3 ± 5.8 | 16.2 ± 7.4 | 8 | ||||
CD69−CD25− | 52.5 ± 12.6 | 16 | 53.1 ± 12.5 | 16 | 52.5 ± 11.8 | 53.1 ± 13.3 | 16 | 51.6 ± 11.9 | 53.5 ± 14.0 | 8 | 53.4 ± 12.3 | 52.7 ± 13.4 | 8 | ||||
CD69−CD25+ | 42.7 ± 13.6 | 16 | 40.3 ± 13.0 | 16 | 41.4 ± 12.5 | 41.6 ± 14.1 | 16 | 43.4 ± 13.2 | 42.1 ± 14.8 | 8 | 39.3 ± 12.4 | 41.2 ± 14.4 | 8 | ||||
CD69+CD25− | 2.8 ± 2.5 | 16 | 4.0 ± 3.5 | 16 | 3.7 ± 3.5 | 3.0 ± 2.6 | 16 | 3.0 ± 2.8 | 2.6 ± 2.2 | 8 | 4.5 ± 4.1 | 3.5 ± 3.0 | 8 | ||||
CD69+CD25+ | 2.0 ± 2.0 | 16 | 2.7 ± 2.1 | 16 | 2.5 ± 2.1 | 2.2 ± 2.0 | 16 | 2.1 ± 2.1 | 1.9 ± 2.0 | 8 | 2.9 ± 2.2 | 2.6 ± 2.2 | 8 | ||||
CD4+CD45RA− | 13.9 ± 3.0 | 16 | 16.3 ± 4.8 | 16 | 15.3 ± 4.1 | 14.9 ± 4.2 | 16 | 13.9 ± 2.7 | 14.0 ± 3.4 | 8 | 16.7 ± 4.9 | 15.9 ± 5.0 | 8 | ||||
CD69−CD25− | 46.9 ± 12.2 | 16 | 46.3 ± 12.3 | 16 | 46.1 ± 11.4 | 47.0 ± 13.1 | 16 | 45.8 ± 11.6 | 48.0 ± 13.5 | 8 | 46.5 ± 11.9 | 46.1 ± 13.5 | 8 | ||||
CD69−CD25+ | 51.8 ± 12.3 | 16 | 51.6 ± 12.4 | 16 | 52.0 ± 11.6 | 51.4 ± 13.1 | 16 | 52.8 ± 11.8 | 50.8 ± 13.5 | 8 | 51.2 ± 12.1 | 52.0 ± 13.5 | 8 | ||||
CD69+CD25− | 0.6 ± 0.3 | 16 | 0.9 ± 0.8 | 16 | 0.8 ± 0.7 | 0.6 ± 0.6 | 16 | 0.6 ± 0.3 | 0.5 ± 0.3 | 8 | 1.1 ± 0.8 | 0.8 ± 0.9 | 8 | ||||
CD69+CD25+ | 0.7 ± 0.3 | 16 | 1.2 ± 1.0 | 16 | 1.0 ± 0.8 | 0.9 ± 0.8 | 16 | 0.8 ± 0.4 | 0.7 ± 0.3 | 8 | 1.3 ± 1.0 | 1.1 ± 1.0 | 8 | ||||
CD4−CD45RA+ | 47.6 ± 5.4 | 16 | 43.7 ± 7.3 | 16 | 47.5 ± 5.1 | 43.9 ± 7.6 | 16 | 48.2 ± 5.1 | 47.1 ± 5.9 | 8 | 46.8 ± 5.4 | 40.7 ± 8.1 | 8 | ||||
CD69−CD25− | 91.4 ± 7.2 | 16 | 90.4 ± 7.0 | 16 | 90.2 ± 7.7 | 91.6 ± 6.3 | 16 | 90.7 ± 8.3 | 92.2 ± 6.4 | 8 | 89.7 ± 7.6 | 91.1 ± 6.7 | 8 | ||||
CD69+CD25− | 8.0 ± 7.0 | 16 | 9.1 ± 7.1 | 16 | 9.3 ± 7.7 | 7.8 ± 6.4 | 16 | 8.8 ± 8.0 | 7.2 ± 6.3 | 8 | 9.8 ± 7.9 | 8.3 ± 6.8 | 8 | ||||
CD4−CD45RA− | 24.1 ± 5.6 | 16 | 23.8 ± 10.3 | 16 | 21.7 ± 5.7 | 26.2 ± 9.7 | 16 | 23.0 ± 5.6 | 25.2 ± 5.8 | 8 | 20.3 ± 5.8 | 27.3 ± 12.8 | 8 | ||||
CD69−CD25− | 93.5 ± 2.1 | 16 | 89.0 ± 9.5 | 16 | 91.2 ± 6.2 | 91.3 ± 8.2 | 16 | 93.3 ± 2.0 | 93.7 ± 2.3 | 8 | 89.1 ± 8.2 | 88.9 ± 11.2 | 8 | ||||
CD69+CD25− | 5.3 ± 2.3 | 16 | 10.4 ± 9.4 | 16 | 7.7 ± 6.4 | 8.0 ± 8.2 | 16 | 5.2 ± 2.4 | 5.5 ± 2.4 | 8 | 10.3 ± 8.2 | 10.6 ± 11.1 | 8 | ||||
CD8+ cytotoxic T cells | |||||||||||||||||
CD3+CD8+IFN+ | 6.0 ± 4.8 | 16 | 7.1 ± 5.7 | 16 | 7.0 ± 5.4 | 6.1 ± 5.0 | 16 | 6.7 ± 5.7 | 5.3 ± 3.8 | 8 | 7.2 ± 5.5 | 7.0 ± 6.2 | 8 | ||||
CD3+CD8+IL-12R+ | 4.6 ± 1.7 | 16 | 5.4 ± 2.2 | 16 | 5.0 ± 2.1 | 5.0 ± 2.0 | 16 | 4.7 ± 2.0 | 4.6 ± 1.5 | 8 | 5.2 ± 2.3 | 5.5 ± 2.3 | 8 | ||||
CD3+CD8+IL-15R+ | 8.4 ± 4.5 | 18 | 9.6 ± 5.3 | 16 | 9.5 ± 4.9 | 8.4 ± 4.9 | 17 | 8.6 ± 4.5 | 8.2 ± 4.7 | 9 | 10.5 ± 5.4 | 8.7 ± 5.4 | 8 | ||||
CD3+CD8+IL-21R+ | 7.2 ± 2.8 | 16 | 8.6 ± 3.6 | 16 | 8.1 ± 3.5 | 7.7 ± 3.0 | 16 | 7.1 ± 3.5 | 7.2 ± 2.1 | 8 | 9.0 ± 3.5 | 8.2 ± 3.8 | 8 | ||||
CD3+CD8+CD107a+ | 5.8 ± 2.3 | 18 | 5.3 ± 1.8 | 16 | 5.7 ± 2.0 | 5.5 ± 2.2 | 18 | 6.0 ± 2.1 | 5.6 ± 2.7 | 9 | 5.3 ± 2.0 | 5.3 ± 1.8 | 9 | ||||
CD3−CD56+IFN+ | 21.1 ± 2.1 | 14 | 23.1 ± 15.7 | 14 | 21.9 ± 14.5 | 22.2 ± 13.5 | 14 | 22.6 ± 13.4 | 19.5 ± 11.5 | 7 | 21.3 ± 16.7 | 24.9 ± 15.7 | 7 | ||||
CD3−CD56+IL12R+ | 11.2 ± 5.3 | 16 | 13.2 ± 6.5 | 16 | 11.9 ± 5.7 | 12.5 ± 6.3 | 16 | 11.0 ± 5.3 | 11.5 ± 5.7 | 8 | 12.8 ± 6.2 | 13.5 ± 7.2 | 8 | ||||
CD3−CD56+IL15R+ | 17.9 ± 11.5 | 18 | 20.0 ± 9.9 | 18 | 20.3 ± 12.9 | 17.6 ± 7.7 | 18 | 18.4 ± 14.8 | 17.3 ± 7.6 | 9 | 22.1 ± 11.3 | 17.8 ± 8.3 | 9 | ||||
CD3−CD56+IL-21R+ | 17.8 ± 6.9 | 16 | 21.7 ± 10.2 | 16 | 20.1 ± 8.5 | 19.3 ± 9.4 | 16 | 16.9 ± 5.8 | 18.6 ± 8.2 | 8 | 23.4 ± 9.8 | 20.0 ± 11.0 | 8 | ||||
CD3−CD56+CD107a+ | 15.7 ± 5.9 | 18 | 16.1 ± 6.9 | 16 | 15.1 ± 6.5 | 16.7 ± 6.2 | 17 | 14.7 ± 4.8 | 16.8 ± 7.0 | 9 | 15.6 ± 8.4 | 16.5 ± 5.7 | 8 |
Plasma sex hormone levels of 17β-estradiol (
Distribution of sex hormone levels in healthy human males (
Total NK cells from peripheral blood were significantly downregulated (
Distribution of
A negative association was detected between change in 17β-estradiol levels and change in NK cell percentages in females (
Three differentiation markers (CD45RA, CD69, and CD25) were selected from literature based on their use as naïve and activated/effector markers (Figure
CD69 expression (CD25+/CD25−) was observed on only a small fraction (2.0–4.0%) of naïve cells and was lower (0.6–1.2%) among non-naïve T helper cells (Table
A relatively large mean percentage of CD25+ cells was observed in the naïve component (40–45%) and was higher in activated CD4+ T cells (Table
All CD69-expressing T cells, either single CD69+CD25− or double positive CD69+CD25+ were in general, significantly downregulated in naïve and activated subpopulations after papaya consumption (Figure
Correlation analysis between sex hormones and CD25-expressing cells, however, revealed significant strong negative associations between changes in testosterone levels and percentages of CD25-expressing T helper cells, in a naïve CD4+CD45RA+CD69−CD25+ (
Progesterone also had an apparent suppressive effect on CD25+ cells in females, as negative correlations were observed with single positive, naïve CD45RA+CD69−CD25+ (
Non-CD4+ (CD4−) lymphocytes were a mixed population consisting of CD8 T cells, NK, B and NKT subsets. CD25 positivity was very low among these cells, <1% (data not shown) and excluded from further analysis.
The majority of non-CD4+ lymphocytes, were double negative (CD69−CD25−). Compared to CD4+ lymphocytes where expression of CD69 was found on 0.6–4.0%, a larger population of CD69+ cells was observed among the non-CD4+ lymphocytes forming average percentages of 8.0–9.1% in CD45RA+ and 5.3–10.4% in CD45RA− lymphocytes (Table
Total naïve non-CD4+ lymphocytes were significantly reduced while the activated populations were significantly increased after papaya consumption (Table
Interesting also to note, CD69 expression was associated with two divergent levels of CD45RA expression, i.e., CD45RAhiCD69+ and CD45RA−CD69+ (Figure
The distinctly increased activated non-CD4+ cells after papaya consumption prompted a closer examination of this population, consisting of CD8+ T cells, B cells, NK cells, or NKT cells. We opted for the cytotoxic component for further analysis and selected several activation markers associated with these cells. Effector markers analyzed were IFN-γ, IL-12R2β, IL-15Rα, IL-21R, and degranulation marker, CD107a.
No significant changes were observed in CD8+ T cells expressing any of these markers (Table
The same effector markers were analyzed on NK cells (CD3−CD56+). By comparison, these markers were expressed on a larger percentage of NK cells compared to CD8+ T cells (Table
Overall, a significant upregulation of CD107a+ NK cells was observed after papaya consumption (Figure
Correlation analysis revealed CD107a+ NK cells no strong correlation with testosterone levels in males (
In this study, the feasibility of detecting endo-immunomodulation by dietary intake of
Exogenous supplementation from plant-based hormones may affect outcomes in the study as fruits and vegetables contain a myriad of phytochemicals including phytoestrogens. However, a study on premenopausal women given isoflavone-rich diets was not shown to affect serum estradiol or progesterone concentrations (
We observed significantly increased 17β-estradiol (E2) and progesterone (P4) in females after papaya consumption. Researches on effects of whole fruits on sex hormones in premenopausal women are limited. In the BioCycle Study on healthy premenopausal women, increased intake of citrus fruit juice did not alter estradiol levels but increased progesterone levels. No significant changes were observed, however, with increased intake of non-citrus fruit juice (
Estrogen receptor (ER) and progesterone receptors are expressed on various lymphocytes [reviewed in Ref. (
Other researchers found estrogen replacement therapy in postmenopausal women especially increased B-lymphocyte numbers and decreased pro-inflammatory cytokine production (
Differentiation markers such as CD45RA, CD69, and CD25 are extensively used in literature but comparison across lymphocyte subpopulations in the system is few. Human naive and memory T cells have been identified by the reciprocal expression of the CD45RA and CD45RO isoforms. The peripheral blood reportedly, contains a comparable proportion of CD45RO+ and CD45RA+ subsets (
CD69 and CD25 are regarded as early and late activation markers, respectively, as an early peak in expression (24 h) of CD69 and a later (48 h) peak in expression of CD25 after
Even though, the specific ligand for CD69 has not been identified and the role of CD69 is currently intensively investigated. CD69-expressing T cells, CD4+CD69+CD25− has been proposed as a novel regulatory cell type defined by TGF-β1 activity (
Brenchley et al. (
Expression of CD25 has typically been associated with activated cells. However, we observed a large fraction of CD25+ cells (40–45%) among naïve T helper cells. Using an extensive number of activation, differentiation, and exhaustion markers combined with microarray analysis, Pekalski et al. (
CD25+ percentages are higher in non-naïve T helper cells as was seen here. Resting memory T-cells may be CD25−, i.e., late differentiated cells that respond to antigens associated with chronic immune responses. The majority however, are CD25(INT) memory T cells that respond to antigens associated with recall responses, produce a greater array of cytokines, and are less dependent on co-stimulation for effector responses due to their expression of CD25 (
Many studies have shown levels of CD4+ T cells are lower in males compared to females [reviewed in Ref. (
In reverse, CD25− cells, both naïve and activated were increased in males (but not females) after papaya consumption. This may be a homeostatic response [discussed in Ref. (
The low expression of CD25 on non-CD4+ lymphocytes is consistent with other reports; immature B and certain NKT subsets may express low levels of CD25. Mature B cells, NK cells, and NKT are absent for CD25 (
Consumption of papaya in general induced a suppressive effect on CD69+ cells, particularly CD4+ T helper cells as well as the naïve non-CD4+ lymphocytes. The potential of fruits to inhibit CD69 expression has been shown in the
However, this effect was not similarly observed in activated non-CD4+ lymphocytes. Individual responses were heterogeneous and mean percentage was, in reverse, slightly increased after papaya consumption. Negative correlations were generally observed between CD69+ subpopulations with testosterone in males and progesterone in females. In fact, the negative correlation with this activated non-CD4+ lymphocyte was the strongest in females. The selective nature of progesterone is in concordance with reported evidence of progesterone suppression of uterine natural killer (NK) cells in human and spleen cells in mice expressing CD69 (
The significantly increased NK cell degranulation (CD107a+) in males after papaya consumption appeared to be unaffected by sex hormone changes. Other studies strengthen this observation. NK cell activity of peripheral mononuclear cells against target K562 cells measured by the 51Cr release assay did not differ between patients with idiopathic hypogonadotropic hypogonadism (with significantly lower mean plasma testosterone) and healthy adults. Most importantly, this activity did not change during hormonal treatment, which normalized plasma testosterone levels in the patients (
In females, increased NK degranulation activity was only observed when progesterone levels were also increased in subjects after papaya consumption.
Fruit extracts have been shown to modulate the immune system significantly even within a day of treatment (
The inability to elicit similar sex hormonal changes in all subjects resulting in heterogeneous responses may be due to individual variability, insufficient stimulation with 2 days exposure or observations were just random changes to the physiological environment. However, the inclusion of the sex hormone markers in this study has clarified many dimorphism seen in immune responses that would not have been otherwise understood.
The vast knowledge available on the immune system allowed us to better interpret complex changes from normal exposures. The short-term papaya consumption experiment revealed sexual dimorphic changes in the immune system. Both stimulatory and suppressive effects were observed in lymphocyte subsets of healthy individuals after papaya consumption. Stimulation of CD4+ T cell percentages and NK cell activity in males suggest a beneficial potential from papaya consumption in this subset of individuals. Increased B cell percentages and reduced percentages of NK cells are characteristics of the female immune profile. It is not clear if “exacerbation” of these situations with papaya consumption may not be advantageous. Similarly, decreased naïve non-CD4+ lymphocytes seen in females may not be desirable. This study also revealed endocrine–immune system interactions, in particular, the possible suppressive effect of testosterone on CD25. Furthermore, low progesterone levels, e.g., during the follicular phase appeared to promote activated CD69+ non-CD4+ lymphocytes but led to non-responsiveness in NK degranulation inducible by external factors such as papaya consumption, as observed here.
Due to a spectrum in expression of these markers across normal individuals, an overlap of phenotypes did occur between sexes, thus no strict “sex-labeled” boundaries existed. However, sex-biased responses were still distinguishable and sex hormone levels were able to provide a guide. The ability to measure immune response
This study was approved by Medical Research Ethics Committee, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia. All procedures complied with the principles of the Declaration of Helsinki. Informed consents were obtained.
MA, ZS, RJ, and WK contributed to the conception and design of the study. NJ, CY, and MA contributed to acquisition of data, analysis, and interpretation of data. MA and NJ drafted the article and revised it critically for important intellectual content. All authors approved the final the version to be submitted.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We would like to acknowledge the technical contributions of Marsitah Abdul Jalil and Amrina Mohamad Amin, and thank the participation of all volunteers.
The Supplementary Material for this article can be found online at