Literature DB >> 34552346

Inflammation and Insulin Resistance in a Group of Sub-Saharan African Women with Polycystic Ovary Syndrome.

Christelle Chemaga Nkonpawa1, Vicky Jocelyne Ama Moor1,2, Aurel T Tankeu3, Audrey Synthia Momo1, Guy Sadeu Wafeu4, Falmata Amazia2, Jan Rene Nkeck2,5, Tasha Manases6, Julius Dohbit Sama7, Simeon Pierre Choukem6,8,9.   

Abstract

BACKGROUND: Studies report high levels of inflammatory markers in women with polycystic ovary syndrome (PCOS), reflecting chronic low-grade inflammation. This inflammation is thought to be associated with insulin resistance. We aim to evaluate inflammatory markers [high sensitivity C reactive protein (CRP) and interleukin 6] and insulin resistance in women with PCOS in Yaoundé, Cameroon.
METHODS: We conducted a comparative cross-sectional study including 32 women with PCOS aged between 18 and 44 years and 32 controls matched for age and body mass index (BMI). Homeostasis model assessment of insulin resistance (HOMA-IR) index calculated using C peptide levels was used to evaluate insulin resistance. Serum levels of high sensitivity CRP (hsCRP) and interleukin 6 (IL-6) were measured. Comparisons were made using the Student's T-test and non-parametric tests (Mann-Whitney U-test, Kruskal-Wallis test).
RESULTS: We found that the median [25th-75th percentile] level of hsCRP was significantly higher in women with PCOS compared to the controls (0.63 [0.32-3.81] mg/L vs. 0.47 [0.15-1.04] mg/L; p=0.01), while IL-6 levels were not different (8.61 [4.1-33.79] pg/mL for PCOS vs. 8.80 [5.28-38.85] pg/mL for controls; p=0.51). We noted that women with PCOS had a higher HOMA-IR index (1.15±0.90 vs. 0.77±0.38; p=0.03). However, there was no correlation between hsCRP level and the HOMA-IR index (Spearman correlation coefficient=0.10; p=0.62).
CONCLUSION: PCOS is associated with an increased level of hsCRP and insulin resistance in Cameroonian women. This exploratory study provides baseline evidence for larger-scale studies.
© 2021 Chemaga Nkonpawa et al.

Entities:  

Keywords:  high sensitivity C reactive protein; insulin resistance; interleukin 6; polycystic ovary syndrome; sub-Saharan Africa

Year:  2021        PMID: 34552346      PMCID: PMC8450186          DOI: 10.2147/JIR.S313193

Source DB:  PubMed          Journal:  J Inflamm Res        ISSN: 1178-7031


Introduction

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women of reproductive age.1 It is a complex and heterogeneous condition affecting about 10% of women of childbearing age.2 Historically known for its association with poor reproductive health, it has evolved during the past decades as a major background for cardiometabolic diseases.3,4 As high as 50–70% of women with PCOS exhibit insulin resistance, half of them are overweight or obese and present with a 5-7-fold increased risk of type 2 diabetes.3,5 Furthermore, large observational studies suggest that women with PCOS might be at a higher risk for developing cardiovascular diseases.6 Studies have confirmed low-grade chronic inflammation as a key player underlying metabolic syndrome and cardiovascular complications in chronic diseases.7,8 Given that, studying low-grade chronic inflammation in PCOS is important as it could be involved in its pathophysiology. Available data provide evidence of a low-grade inflammation with an increased level of hsCRP and IL-6, markers of inflammation in different populations of women with PCOS.9–12 However, evidence of inflammation in PCOS is yet to be proven in all populations, and little is known, especially in sub-Saharan African populations who have different clinical and phenotypic presentations. To fill this knowledge gap, we carried out this study to evaluate inflammatory markers in relationship with insulin resistance in Cameroonian women with PCOS, a micro-ecosystem of sub-Saharan Africa.

Materials and Methods

Design and Participants

This comparative cross-sectional study was conducted from March 2020 to June 2020 at the Yaoundé Gyneco-Obstetric and Pediatric Hospital, and at the laboratory of the Yaoundé Central Hospital. We included women aged from 18 to 44 years with PCOS, and control subjects matched for age and BMI. The diagnosis of PCOS was established based on medical records of participants. The diagnosis was defined according to the 2003 Rotterdam diagnosis criteria of PCOS. We included in the PCOS group women with at least two of the following criteria: (1) oligo-or anovulation; (2) clinical and/or biological hyperandrogenism; (3) polycystic morphology of ovary in ultrasound examination (at least 12 follicles with a diameter of 2–9 mm and/or volume ≥10 mL per ovary).13 Control subjects were healthy volunteers recruited from the community with no clinical menstrual cycle disorder and no evidence of clinical hyperandrogenism. We did not include women with any of the following conditions: pregnancy or breastfeeding, known diabetes mellitus, acute infection in the past 3 weeks, known chronic diseases (hepatic, renal, autoimmune, neoplasia, Human Immunodeficiency Virus), a very high level of hsCRP (not detectable by measuring devices), or other known hyperandrogenemia conditions (late-onset congenital adrenal hyperplasia, Cushing syndrome, and androgen secreting tumors). In addition, we ensured that oral contraceptives or drugs that could affect hormonal and metabolic profiles were discontinued at least 3 months before inclusion in the study.

Procedure

Patients with PCOS were identified from registers of the outpatient and the imaging departments and were subsequently contacted and invited to participate in the study. Control subjects were recruited amongst hospital visitors and by invitation through posters posted on social networks. After obtaining informed consent and checking the selection criteria, anthropometric and clinical data were collected. Blood samples were collected in the morning after 12 hours of overnight fasting. Plasma glucose measurement was performed immediately by God-PAP enzymatic colorimetric method (BIOLABO® kit, Paris, France), with a lower limit of detection of 0.10 g/L, an intra-assay coefficient of variation (C.V) between 1.3–0.67% for normal-high rate, and an inter-assay C.V between 1.2–1.06 for normal-high rate. C peptide and IL-6 levels were measured by indirect sandwich Enzyme Linked Immuno-Sorbent Assay (ELISA) method (ELABSCIENCE® kit, Houston, TX), with a lower limit of detection of 7.81 pg/mL. C peptide had an intra-assay C.V between 4.4–5.54%, and an inter-assay C.V between 4.52–5.58, whereas the intra-assay C.V of IL6 was between 3.71–6.72%, and inter-assay C.V between 3.39–6.61. High sensitivity CRP level was evaluated by a direct immunofluorescence method (Ichroma™ kit, Boditech Med Inc, Chuncheon, Gangwon, South Korea), with a lower limit of detection of 0.5 mg/L. For intra-Lot Precision, C.V is ≤15%, and for inter-Lot Precision, C.V is ≤15%. We used the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) index to assess insulin resistance, which was measured by multiplying fasting plasma glucose (mmol/L) by fasting serum insulin (mUI/L) divided by 22.5, where the insulin level was replaced by the C peptide.14

Statistical Analysis

Data were analyzed using Statistical Package for Social Sciences Version 23.0 (IBM SPSS Statistics for Windows, Version 23.0. Armonk, NY: IBM Corp). Continuous variables were summarized as mean±Standard Deviation (SD) or median [25th–75th percentiles], for normally distributed and skewed quantitative data, respectively, while categorical variables were reported as counts and percentages. The Chi-square test was used to study the association between categorical variables. We used the Student’s T-test and non-parametric tests (Mann–Whitney U-test, Kruskal–Wallis test) for group’s comparison of quantitative variables. Spearman correlation test was used to assess the linear association between skewed quantitative data. A p-value less than 0.05 was considered statistically significant. The minimal size for the study was calculated using the formula of Charan and Biswas with α=5% and β=10%.15 We used data from the study of Hu et al16 in 2011 in China, with CRP values of 1.9±2.0 mg/L for PCOS women versus 0.9±0.8 mg/L for healthy women.

Results

Participants’ Characteristics

We enrolled 32 women with PCOS with a mean±SD age of 26.69±4.69 years and a mean BMI of 28.94±7.78 Kg/m2. About a third of the women were overweight (BMI=25–29.9 Kg/m2) and 37.4% were obese (BMI>30 Kg/m2), with the same proportions in both groups. Regarding the phenotypes of PCOS women, 50% (16/32) had phenotype A (Dysovulation | Hyperandrogenism | Polycystic ovaries), 18.75% (6/32) phenotype B (Dysovulation | Hyperandrogenism), 9.38% (3/32) phenotype C (Hyperandrogenism | Polycystic ovaries), and 21.88% (7/32) phenotype D (Dysovulation | Polycystic ovaries). Women with PCOS presented a higher waist-to-hip ratio (WHR) compared to control subjects (0.93±0.12 vs. 0.82±0.09; p<0.001). The clinical characteristics of participants are shown in Table 1.
Table 1

Clinical Characteristics and Insulin Resistance Parameters of Participants

PCOS (n=32)*Controls (n=32)*p-value
Age (years)26.69±4.6927.09±4.980.74
BMI (Kg/m2)28.94±7.7828.29±6.960.72
WHR0.93±0.120.82±0.09<0.001
SBP (mmHg)118.31±11.78117.75±11.530.85
DBP (mmHg)77.19±10.3779.13±8.350.41
Glycemia (mmol/L)5.27±1.055.35±0.940.76
C peptide (mUI/L))4.98±3.833.25±1.620.02
HOMA-IR1.15±0.900.77±0.380.03

Notes: *Data are presented as Mean±SD; text in bold represents significant values.

Abbreviations: BMI, body mass index; WHR, waist-to-hip ratio; SBP, systolic blood pressure; DBP, diastolic blood pressure; HOMA-IR, homeostasis model assessment of insulin resistance.

Clinical Characteristics and Insulin Resistance Parameters of Participants Notes: *Data are presented as Mean±SD; text in bold represents significant values. Abbreviations: BMI, body mass index; WHR, waist-to-hip ratio; SBP, systolic blood pressure; DBP, diastolic blood pressure; HOMA-IR, homeostasis model assessment of insulin resistance.

Insulin Resistance and Inflammation in Women with PCOS and Control Subjects

Women with PCOS had higher C peptide levels (p=0.02) and HOMA-IR (p=0.03) compared to controls, as shown in Table 1. Similarly, their hsCRP level was higher than that of controls (0.63 [0.32–3.81] mg/L vs. 0.47 [0.15–1.04] mg/L; p=0.01), while IL-6 levels were similar between the two groups (8.61[4.1-33.79] pg/mL vs. 8.80[5.28-38.85] pg/mL; p=0.51). There was no difference in levels of inflammatory markers and insulin resistance by BMI, in women with PCOS, as shown in Table 2.
Table 2

Inflammatory Markers and Insulin Resistance According to BMI

Normal*Overweight*Obese*p-value
PCOS
HsCRP (mg/L)0.52 [0.22–3.13]0.80 [0.30–2.93]2.63 [0.35–4.26]0.53
IL6 (pg/mL)5.48 [2.35–9.79]8.61 [3.71–20.00]32.94 [7.04–55.74]0.19
HOMA-IR0.55 [0.38–0.65]0.98 [0.67–1.79]1.12 [0.52–2.48]0.06
Controls
HsCRP (mg/L)0.16 [0.10–0.53]0.52 [0.27–0.99]1.05 [0.42–1.40]0.03
IL6 (pg/mL)4.69 [2.94–9.59]10.77 [5.77–40.12]34.62 [9.39–57.43]0.02
HOMA-IR0.71 [0.30–1.15]0.91 [0.56–1.08]0.64 [0.37–0.88]0.62

Notes: * Data are presented as median [25th–75th percentile]; text in bold represents significant values.

Abbreviations: HsCRP, high sensitivity C reactive protein; IL6, interleukin 6; HOMA-IR, homeostasis model assessment of insulin resistance.

Inflammatory Markers and Insulin Resistance According to BMI Notes: * Data are presented as median [25th–75th percentile]; text in bold represents significant values. Abbreviations: HsCRP, high sensitivity C reactive protein; IL6, interleukin 6; HOMA-IR, homeostasis model assessment of insulin resistance. A significant correlation was found between hsCRP level and BMI in the control group (r=0.67; p<0.001), but not in women with PCOS (r=0.23; p=0.25). In women with PCOS and Controls, there was no significant linear correlation observed between the serum level of inflammatory markers and the HOMA-IR index, as shown in Table 3. HsCRP level was significantly correlated with IL-6 in both groups (r=0.38; p=0.03 for PCOS; r=0.56; p=0.001 for controls). Furthermore, as shown in Table 4, no other association with serum hsCRP level was observed in the PCOS group.
Table 3

Correlation between Inflammatory Markers and HOMA-IR Index in Both Groups

Spearman Correlation (r)p-value
HsCRP
PCOS0.100.62
Controls0.120.55
IL6
PCOS−0.140.49
Controls0.160.43

Abbreviations: HsCRP, high sensitivity C reactive protein; IL6, interleukin 6.

Table 4

Association between Clinical and Biological Characteristics of Women with PCOS and the hsCRP Level

Variables (n=26)HsCRPOR (95% IC)P-value
HighLow
Age (years)
 <257 (53.8)6 (46.2)1.3 (0.29–6.36)0.69
 ≥256 (46.2)7 (53.8)
BMI
 Obese4 (57.1)3 (42.9)1.48 (0.25–8.49)1
 Non-obese9 (47.4)10 (52.6)
WHR
 ˃0.8011 (52.4)10 (47.6)0.65 (0.22–11.99)1
 ≤0.802 (40.0)3 (60.0)
Hyperandrogenism
 Yes10 (52.6)9 (47.4)1.48 (0.26–8.50)1
 No3 (42.9)4 (57.1)
HOMA-IR
 ≥0.728 (57.1)6 (42.9)1.86 (0.39–8.89)0.69
 <0.725 (41.7)7 (58.3)

Abbreviations: HsCRP, high sensitivity C reactive protein; OR, odds ratio; CI, confidence interval; BMI, body mass index; WHR, waist-to-hip ratio; HOMA-IR, homeostasis model assessment of insulin resistance.

Correlation between Inflammatory Markers and HOMA-IR Index in Both Groups Abbreviations: HsCRP, high sensitivity C reactive protein; IL6, interleukin 6. Association between Clinical and Biological Characteristics of Women with PCOS and the hsCRP Level Abbreviations: HsCRP, high sensitivity C reactive protein; OR, odds ratio; CI, confidence interval; BMI, body mass index; WHR, waist-to-hip ratio; HOMA-IR, homeostasis model assessment of insulin resistance.

Discussion

We aimed to study inflammatory markers and insulin resistance in a population of PCOS patients compared to their age and BMI matched controls. We found that the level of hsCRP was higher in women with PCOS compared to controls. There was no difference in IL-6 levels between both groups, but IL-6 was correlated to hsCRP. The HOMA-IR index was higher in women with PCOS compared to controls. In addition, no factor associated with hsCRP level in women with PCOS was identified. The higher level of hsCRP in women with PCOS compared to controls supports the conclusions of several studies in different populations of women with PCOS, including a recent report of Rudnicka et al9 suggesting the presence of a low-grade chronic inflammation in PCOS.17,18 Indeed, hyperandrogenism in women with PCOS seems to lead to adipocyte hypertrophy, which activates the nuclear factor kappa-B (NF-κB). Activation of this factor induces the release of several inflammatory cytokines, which in turn stimulate the production of CRP by the liver.19,20 On the other hand, we did not observe any difference in IL-6 levels in the PCOS group compared to the controls. These findings are similar to previous reports on IL-6.17,21 IL-6 is known to stimulate the liver’s production of CRP.22 The difference observed for hsCRP, but not for IL-6 in the two groups, can be explained by the fact that, beside IL-6, other mediators can stimulate CRP production.22 Together, our data suggest that there is a low-grade inflammation in sub-Saharan African women with PCOS. They are therefore predisposed to cardiometabolic complications, and it would be interesting to study the long-term effect of anti-inflammatory drugs on the occurrence of these. As expected, we found a high HOMA-IR index in women with PCOS compared to their matched controls. In Cameroon, Doh et al23 in 2016, conducted a study including 14 PCOS patients on the same population and found similar results using the hyperinsulinemic euglycemic clamp. Insulin resistance is associated with an increased secretion of insulin. Physiologically, there is a potential relation between hyperinsulinism and hyperandrogenism. Indeed, insulin resistance results in a compensatory increase in insulin secretion in order to maintain normal glucose homeostasis.24 This hyperinsulinism stimulates the secretion of luteinizing hormone by the gonadotropic cells of the anterior pituitary gland, and potentiates its action on the internal thecal cells of the ovary for the production of androgens.25 In addition, hyperinsulinism is responsible for premature sensitivity of follicular cells to luteinizing hormone, altering the selection of the dominant follicle-by-follicle stimulating hormone.26 Hyperandrogenism and ovulation disorders are the main characteristics of PCOS.2 In our study we found that WHR is higher in women with PCOS than in controls. One study showed that abdominal obesity causes additional disturbances of metabolic and hormonal parameters in PCOS.27 Furthermore, visceral obesity seems to also be associated with chronic low-grade inflammation.28 One may wonder whether the high level of hsCRP and insulin resistance found in our study would be related to this difference in WHR? However, we did not find any association between WHR and hsCRP level in our study. We did not find any factors associated with the hsCRP level in women with PCOS. With regard to the correlation between hsCRP and BMI, it should be noted that we looked for a correlation between these two variables in each group. We found a strong positive correlation in the control group, but not in patients with PCOS. This suggests that once women have developed PCOS with its inflammatory state, obesity becomes a minor determinant factor of inflammation, probably because of the interplay of many additional factors associated with PCOS. No correlation was found between hsCRP level and HOMA-IR, and there was no association between the hsCRP level and various clinical parameters. These results are opposed to those of most previous studies on the same population.9,16 This difference could be due to different population backgrounds. None of the studies reporting an association between hsCRP and HOMA-IR were done in sub-Saharan African populations. In addition, there are also some studies that did not report any correlation between hsCRP level and HOMA-IR Index, suggesting that this might indeed be study- or population-dependent.29,30 Can the inflammation be due to another cause? Studies suggested an association between the presence of low-grade chronic inflammation and infections, such as Chlamydia trachomatis or Helicobacter pylori, which are highly prevalent in our context.31–33 Future studies could explore the presence of these infections in PCOS women, with low grade chronic inflammation, especially Chlamydia trachomatis infection, known to be frequent and to be strongly associated with infertility.34

Strength and Limitations

As a strength, we matched patients and controls for age and BMI, which are confounding factors for the occurrence of insulin resistance and inflammation.35,36 As limitations, prior to inclusion, we did not carry out any biological examinations for acute or chronic inflammation. However, women who had high levels of inflammatory markers – suggestive of any acute inflammation – measured within the framework of the study, were excluded from the analysis. The reference test for determining the level of insulin resistance is the hyperinsulinemic euglycemic clamp.37 It is laborious and expensive to carry out and requires an average of 2–3 hours, hence its use is reserved for a few research studies. In our study, we used an index obtained on a fasting sample, notably the HOMA-IR index, which has a very strong correlation with the reference test (r=0.88).38

Conclusion

Patients with PCOS have low grade chronic inflammation represented by higher levels of hsCRP, and a higher level of insulin resistance compared to controls. However, obesity and the specific characteristics of PCOS are not associated with this inflammation. Identification of factors associated with this low-grade chronic inflammation in PCOS, like the presence of some pathogens, requires further study.
  38 in total

Review 1.  Chronic low-grade inflammation in polycystic ovary syndrome: is there a (patho)-physiological role for interleukin-1?

Authors:  Milica Popovic; Gideon Sartorius; Mirjam Christ-Crain
Journal:  Semin Immunopathol       Date:  2019-05-28       Impact factor: 9.623

2.  Inflammation and the metabolic syndrome.

Authors:  Praveen Sharma
Journal:  Indian J Clin Biochem       Date:  2011-11-01

3.  Low grade chronic inflammation in women with polycystic ovarian syndrome.

Authors:  C C Kelly; H Lyall; J R Petrie; G W Gould; J M Connell; N Sattar
Journal:  J Clin Endocrinol Metab       Date:  2001-06       Impact factor: 5.958

Review 4.  The inflammatory syndrome: the role of adipose tissue cytokines in metabolic disorders linked to obesity.

Authors:  Brent E Wisse
Journal:  J Am Soc Nephrol       Date:  2004-11       Impact factor: 10.121

Review 5.  Inflammation in Polycystic Ovary Syndrome: underpinning of insulin resistance and ovarian dysfunction.

Authors:  Frank González
Journal:  Steroids       Date:  2011-12-08       Impact factor: 2.668

Review 6.  The Androgen Excess and PCOS Society criteria for the polycystic ovary syndrome: the complete task force report.

Authors:  Ricardo Azziz; Enrico Carmina; Didier Dewailly; Evanthia Diamanti-Kandarakis; Héctor F Escobar-Morreale; Walter Futterweit; Onno E Janssen; Richard S Legro; Robert J Norman; Ann E Taylor; Selma F Witchel
Journal:  Fertil Steril       Date:  2008-10-23       Impact factor: 7.329

7.  Chlamydia antibodies and self-reported symptoms of oligo-amenorrhea and hirsutism: a new etiologic factor in polycystic ovary syndrome?

Authors:  Laure C Morin-Papunen; Antoni J Duleba; Aini Bloigu; Marjo-Riitta Järvelin; Pekka Saikku; Anneli Pouta
Journal:  Fertil Steril       Date:  2010-10       Impact factor: 7.329

8.  Increased C-reactive protein levels in the polycystic ovary syndrome: a marker of cardiovascular disease.

Authors:  N Boulman; Y Levy; R Leiba; S Shachar; R Linn; O Zinder; Z Blumenfeld
Journal:  J Clin Endocrinol Metab       Date:  2004-05       Impact factor: 5.958

9.  Cardiometabolic risk in polycystic ovary syndrome: a comparison of different approaches to defining the metabolic syndrome.

Authors:  Andrea J Cussons; Gerald F Watts; Valerie Burke; Jonathan E Shaw; Paul Z Zimmet; Bronwyn G A Stuckey
Journal:  Hum Reprod       Date:  2008-07-16       Impact factor: 6.918

10.  Inflammatory Markers in Women with Polycystic Ovary Syndrome.

Authors:  E Rudnicka; M Kunicki; K Suchta; P Machura; M Grymowicz; R Smolarczyk
Journal:  Biomed Res Int       Date:  2020-03-04       Impact factor: 3.411

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