The impact of lipid accumulation product (LAP) and visceral adiposity index (VAI) on clinical, hormonal and metabolic parameters in lean women with polycystic ovary syndrome

Utility of Visceral Adiposity Index and Lipid Accumulation Products to Define Metabolically-Unhealthy Polycystic Ovary Syndrome in Asian Indian Women - A Cross Sectional Study

Background

Polycystic ovary syndrome (PCOS) women are at risk of developing diabetes, cardiovascular disease and metabolic syndrome (MetS) due to insulin resistance (IR) and hyperandrogenism (HA). Both visceral adiposity index (VAI) and lipid accumulation product (LAP) are simple outpatient department-based metric tools that have been introduced to screen PCOS women who are metabolically unhealthy and are at risk of development of MetS.

Aims

The aim of the study was to evaluate VAI and LAP in women with PCOS and to correlate them with metabolic and endocrine markers. The study also assessed these parameters amongst different PCOS phenotypes and determined their usefulness to define metabolically healthy PCOS (MH-PCOS) and metabolically unhealthy PCOS (MU-PCOS).

Settings and Design

The design of the study was a cross-sectional study.

Materials and Methods

Two hundred PCOS women were included in the study, and all the clinical, anthropometric, hormonal, biochemical and metabolic markers were assessed. The cohort was divided into MH-PCOS and MU-PCOS by the modified National Cholesterol Education Programme criteria. VAI and LAP were calculated and correlated with clinical, endocrine and metabolic parameters.

Statistical Analysis Used

Univariate and multivariate logistic regression analysis was used to study the independent role of VAI and LAP to predict MetS. Adjusted and unadjusted odds ratios were calculated. Receiver-operating characteristic (ROC) analysis was done to define cut-offs in Asian Indian women.

Results

VAI and LAP had good ability to correctly discriminate MU-PCOS from MH-PCOS (area under the curve [AUC] [95% confidence interval (CI)]: 0.89 [0.82-0.95]) and (AUC [95% CI [0.81-0.92] =0.86) using ROC, respectively. The sensitivity of VAI and LAP corresponding to the optimal cut-off of ≥2.76 and ≥48.06 (Youden) was 84.09% and 79.55%, respectively. Similarly, the specificity of VAI and LAP was 85.26% and 79.49%, respectively. VAI has a positive predictive value of 61.7% (95% CI [23.7%-40.3%]) and a negative predictive value of 95% (95% CI [88%-99.1%]). LAP has a positive predictive value of 53% (95% CI [40.3%-65.4%]) and a negative predictive value of 93.3% (95% CI [87.6%-96.9%]). PCOS women having VAI ≥ 2.76 had 19.3 times ([95% CI: 6.50-57.70]) more chance of developing MetS. PCOS women having LAP (≥48.06) have 3.7 times ([95% CI: 1.35-10.60]) more odds. There was no difference between ROC curves of VAI and LAP (P = 0.32).

Conclusion

VAI cut-off ≥ 2.76 and LAP with a cut-off of ≥ 48.06 may be used as markers for predicting MetS amongst PCOS women.

Biomarkers in Polycystic Ovary Syndrome

Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder in reproductive-age women. PCOS is diagnosed by the presence of two of the following three characteristics: hyperandrogenemia and/or hyperandrogenism, oligo/amenorrhea, and polycystic ovarian morphology. PCOS is associated with reproductive and non-reproductive complications, including obesity, insulin resistance and diabetes, dyslipidemia, and increased blood pressure. There is an urgent need for biomarkers that address both the reproductive and non-reproductive aspects of this complex syndrome. This review focuses on biomarkers, or potential ones, associated with the reproductive and non-reproductive aspects of PCOS, including anthropometric and clinical biomarkers, insulin and the IGF-1 system, lipids, anti-Müllerian hormone and gonadotropins, steroids, inflammatory and renal injury biomarkers, oxidative stress, and non-coding RNAs. We expect that this review will bring some light on the recent updates in the field and encourage researchers to join the exciting and promising field of PCOS biomarkers.

The Role of Different Methods in Defining Cardiometabolic Risk and Metabolic Syndrome in Women with Polycystic Ovary Syndrome

Polycystic ovary syndrome (PCOS) is one of the most frequent endocrine illnesses, often accompanied by visceral adiposity and metabolic syndrome (MetS). Visceral adiposity is an accurate predictor of MetS and cardiometabolic risk. This study aims to evaluate different anthropometric indices that can be used in PCOS and MetS risk assessment. A total of 66 women with PCOS (50%) and 66 controls (50%) were included, and clinical and biochemical parameters were evaluated. The body mass index (BMI), body shape index (ABSI), body roundness index (BRI), dysfunctional adiposity index (DAI), lipid accumulation (LAP) index, and visceral adiposity index (VAI) were calculated. The means of all indices were higher in the PCOS group (p < 0.05). The marker with the lowest discriminatory ability for PCOS and MetS was ABSI (AUC = 0.762 and AUC = 0.714, respectively, p = 0.000). According to the multivariate logistic regression model, the VAI and WC are strong predictors of PCOS (AUC, 98%; accuracy, 92%; sensitivity, 92%; and specificity, 91%), and WC, LAP index, and BRI are strong predictors of MetS (AUC, 0.95%; accuracy, 86%; sensitivity, 83%; and specificity, 88%). The use of different anthropometric indices in the detection of PCOS and MetS may allow for early diagnosis and treatment, and are simple and cost-effective.

Dual-energy X-ray absorptiometry and adiposity index are sensitive methods to evaluate central fat accumulation in women with polycystic ovary syndrome and normal body mass index

Objective

This study aimed to determine the differences in body fat distribution and central obesity indicators using dual-energy X-ray absorptiometry (DXA), adiposity indices, and anthropometric indices between women with and without polycystic ovary syndrome (PCOS).

Materials and methods

Clinical and laboratory examination history, including transvaginal ultrasound, fasting blood samples, anthropometric measurements, and DXA scans were conducted in 179 women with PCOS (PCOS group) and 100 without PCOS (non-PCOS group). The volunteers were grouped by body mass index (BMI): normal (18-24.9 kg/m2), overweight (25-29.9 kg/m2), or obese (>30 kg/m2). The visceral adiposity index (VAI) and lipid accumulation product (LAP) were calculated, regions of interest (ROIs) were determined, and the fat mass index (FMI) was calculated using DXA.

Results

VAI, LAP, ROIs, FMI, and adiposity indices by DXA were higher in women with PCOS and normal BMI. In both PCOS and non-PCOS groups, the ROIs progressively increased from normal BMI to overweight and obese, and from overweight to obese. Obese women with PCOS showed high trunk fat mass. However, obesity was not able to modify these trunk/periphery fat ratios in PCOS from overweight to higher BMI. These variables were associated with the incidence of PCOS.

Conclusion

In women with PCOS and normal BMI, both DXA and the adiposity indices, VAI and LAP, are more sensitive methods to evaluate total body fat and fat accumulation in the central abdominal region. It was also observed that as BMI increased, the differences in measurements between women with and without PCOS decreased.

Multiomics Analysis-Based Biomarkers in Diagnosis of Polycystic Ovary Syndrome

Polycystic ovarian syndrome is an utmost communal endocrine, psychological, reproductive, and metabolic disorder that occurs in women of reproductive age with extensive range of clinical manifestations. This may even lead to long-term multiple morbidities including obesity, diabetes mellitus, insulin resistance, cardiovascular disease, infertility, cerebrovascular diseases, and ovarian and endometrial cancer. Women affliction from PCOS in midst assemblage of manifestations allied with menstrual dysfunction and androgen exorbitance, which considerably affects eminence of life. PCOS is recognized as a multifactorial disorder and systemic syndrome in first-degree family members; therefore, the etiology of PCOS syndrome has not been copiously interpreted. The disorder of PCOS comprehends numerous allied health conditions and has influenced various metabolic processes. Due to multifaceted pathophysiology engaging several pathways and proteins, single genetic diagnostic tests cannot be supportive to determine in straight way. Clarification of cellular and biochemical pathways and various genetic players underlying PCOS could upsurge our consideration of pathophysiology of this syndrome. It is requisite to know pathophysiological relationship between biomarker and their reflection towards PCOS disease. Biomarkers deliver vibrantly and potent ways to apprehend the spectrum of PCOS with applications in screening, diagnosis, characterization, and monitoring. This paper relies on the endeavor to point out many candidates as potential biomarkers based on omics technologies, thus highlighting correlation between PCOS disease with innovative technologies. Therefore, the objective of existing review is to encapsulate more findings towards cutting-edge advances in prospective use of biomarkers for PCOS disease. Discussed biomarkers may be fruitful in guiding therapies, addressing disease risk, and predicting clinical outcomes in future.

The Prevalence of Polycystic Ovary Syndrome, Its Phenotypes and Cardio-Metabolic Features in a Community Sample of Iranian Population: Tehran Lipid and Glucose Study

Objectives

The aim of the present study was to evaluate the prevalence of polycystic ovary syndrome (PCOS), its phenotypical and cardio-metabolic features in a community sample of the Iranian population in comparison to healthy eumenorrheic, non-hirsute women without polycystic ovaries. The second aim was to assess the cardio-metabolic characteristics of women who suffered from one criteria of PCOS compared to those healthy eumenorrheic, non-hirsute women.

Methods

In this cross-sectional population-based study, a total of 1,960 eligible women, aged (18-45 years) were recruited from the Tehran-Lipid and Glucose-Study participants and were classified as the three groups of (i) women with PCOS by the Rotterdam criteria, (ii) non-PCOS women with one criteria of PCOS and (iii) healthy eumenorrheic, non-hirsute women without polycystic ovaries morphology (PCOM) as the control group. Further PCOS women were extended to four phenotypes of hyperandrogenism, oligo-anovulation, polycystic ovaries (phenotype A), hyperandrogenism, oligo/anovulation (phenotype B), hyperandrogenism, polycystic ovaries (phenotype C) and oligo-anovulation, polycystic ovaries (phenotype D). Cardio-metabolic profiles and the prevalence of comorbidities of metabolic syndrome (MetS) and lipid abnormalities were compared among these groups linear, and the median regression models adjusted for age and body mass index.

Results

The prevalence of PCOS according to the diagnostic criteria of the NIH, Rotterdam and AE-PCOS Society were 13.6, 19.4, and 17.8, respectively. Among those who met the Rotterdam criteria, 23.9, 46.3, 21.6, and 8.2% had phenotypes A, B, C, and D, respectively. Among the remaining 1,580 women who did not fulfil the PCOS criteria, 108 (6.8%) suffered from only oligo/anovulation, 332 (21%) only hyperandrogenism/hyperandrogenemia, 159 (16.2%) only PCOM in ultrasound and 981 (62%) were healthy eumenorrheic, non-hirsute women without PCOM. The study revealed that some adiposity indices and lipid abnormalities in PCOS phenotypes with hyperandrogenism (A, B, and C) were worse than in healthy women. By contrast, women with phenotype D did not differ from the healthy ones in terms of adiposity and lipid abnormalities. However, the respective values for other cardio-metabolic profiles and MetS rates in different phenotypes of PCOS were similar to the healthy women. Only the prevalence of MetS in phenotype A was significantly higher than in the healthy women. There were no statistically significant differences between participants with one criteria of PCOS and healthy counterparts in terms of most adiposity indexes, cardio-metabolic factors, and comorbidity of MetS and its components. However, women with hyperandrogenism had a significantly higher level of the waist to height ratio (WHtR) and hypertriglyceridemia than their healthy counterparts.

Conclusion

PCOS, mainly classical phenotypes A and B, are common among Iranian women of reproductive age. Women with PCOS who had androgen excess exhibited the worst lipid profile, and those who had full three criteria of the syndrome exhibited the higher rate of MetS. However, women with only ovulatory dysfunction and only PCOM had similar cardio-metabolic characteristics, compared to healthy subjects. These data suggest that routine screening for metabolic disturbances may be needed in the prevention of cardio-metabolic disorders in patients with more serious phenotypes of PCOS.

The relation between visceral fat markers and cardiometabolic disease risks in psoriasis patients

OBJECTIVE:

Psoriasis is a chronic, inflammatory disease that appears with variable trigger factors. We know that obesity and other metabolic syndrome criteria are high in psoriasis patients. The aim of this study is to evaluate the relationship between visceral fat markers, risk of cardiometabolic disease, and psoriasis area severity index (PASI) in individuals with and without psoriasis.

METHODS:

A total of 203 subjects, 102 psoriasis patients and 101 healthy individuals, were included in the study. Lipid accumulation product (LAP) index, visceral adiposity index (VAI), plasma atherogenicity index (PAI), body mass index (BMI), PASI, triglyceride (TG), and high-density lipoprotein cholesterol (HDL-c) values were measured.

RESULTS:

LAP index, VAI, PAI, BMI, and TG levels were significantly high (p<0.001) and HDL-c levels were significantly low (p=0.009) in patients with psoriasis compared to healthy individuals.

CONCLUSION:

LAP index, VAI, and PAI calculations can be recommended as a potential biomarker for early diagnosis of cardiometabolic diseases common in patients with psoriasis.

Lipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuela

BACKGROUND

Visceral adiposity is related to insulin resistance (IR), a metabolic state considered as a risk factor for other cardiometabolic diseases. In that matter, mathematical indexes such as the visceral adiposity index (VAI) and the lipid accumulation product (LAP) could indirectly assess IR based on visceral adiposity.

OBJECTIVE

To evaluate the association and diagnostic accuracy of VAI and LAP to diagnose IR in the adult population of Maracaibo city.

METHODS

This is a cross-sectional descriptive study with multistage sampling. Receiver operating characteristic (ROC) curves were built to determine VAI and LAP cutoff points to predict IR. A set of logistic regression models was constructed according to sociodemographic, psychobiologic, and metabolic variables.

RESULTS

1818 subjects were evaluated (51.4% women). The area under the curve (AUC) values for LAP and VAI were 0.689 (0.665-0.714) and 0.645 (0.619-0.670), respectively. Both indexes showed a higher IR risk in the upper tertile in bivariate analysis. However, in the logistic regression analysis for the IR risk, only the 2nd (OR: 1.91; 95% CI: 1.37-2.65; p < 0.01) and 3rd (OR: 5.40; 95% CI: 3.48-8.39; p < 0.01) LAP tertiles showed a significant increase. This behaviour was also observed after adjusting for hs-C-reactive protein (hs-CPR).

CONCLUSION

Although both indexes show a low predictive capacity in individuals with IR in the Maracaibo city population, the LAP index was more strongly associated with IR.

Can "VAI" Better Indicate Metabolic Syndrome Compared with Other Metabolic Syndrome-Related Parameters in Patients with Thyroid Nodules? A Study from Turkey

Background: To investigate the relationship between visceral adiposity index (VAI) and other metabolic syndrome (MetS)-related parameters, and thyroid nodules. Methods: This single-center, prospective, case-control study included 67 patients with thyroid nodules and 48 healthy volunteers with similar age, sex, and body mass index (BMI). Biochemical parameters were obtained from medical charts. Anthropometric measurements and total body composition analysis were performed to calculate VAI and other MetS parameters. The parenchymal structure was evaluated according to VESINC (Volume, Echogenicity, Sonographic texture, Infiltration of pseudonodular Nodules, Cysts) system on thyroid ultrasound and nodule characteristics were also detected. MetS was defined according to International Diabetes Federation criteria. Results: We examined a total of 67 patients with thyroid nodule and 48 healthy volunteers. Sixty-one (91%) were female in the patient group; and 43 (90%) were female in the control group. The mean age was 48.5 ± 11.6 years in the patient group; 47.2 ± 9.5 years in the control. The median VAI was significantly higher in the patient group than the control group [4.1 interquartile range (IQR: 2.6-5.9) vs. 3 (IQR: 2-4.3), P = 0.024]. There was a positive correlation between VAI and BMI, waist/hip ratio (WHpR), waist/height ratio (WHtR), and homeostasis of model assessment of insulin resistance (HOMA-IR). On the other hand, there was no significant correlation between VAI and thyroid function tests and autoantibodies and thyroid volume. Conclusions: In conclusion, we demonstrated that MetS was more common in patients with thyroid nodules. Although VAI and HOMA-IR levels were significantly different between the two groups, we found no significant difference in terms of waist circumference, WHpR, and WHtR. This might suggest that VAI compared with these parameters, better predicts the risk of MetS in patients with thyroid nodules.

Importance of Measured Body Fat, Visceral Adiposity Index, and Lipid Accumulation Product Index in Predicting Cardiometabolic Risk Factors

Background: Obesity, which is defined as excessive fat accumulation in the body, is an important public health problem. Objective: The aim of this study was to compare measured body fat and the visceral adiposity index (VAI) and lipid accumulation product (LAP) index used to predict cardiometabolic risk (CMR) factors. Methods: This study was performed retrospectively by scanning the files of 817 participants who had bioelectrical impedance analysis (BIA) results and routine blood tests. The VAI and the LAP index were calculated using the appropriate formulas. Results: Of the 817 participants included in the study, 67.9% (n = 555) were female, 32.1% (n = 262) were male, and the mean age was 36.14 ± 11.4 (18-65) years. The mean body mass index (BMI) was 29.90 ± 6.6 kg/m² and 24.2% (n = 198) of the participants were of normal weight (BMI <25 kg/m²), while 75.8% (n = 619) were overweight or obese (BMI ≥25 kg/m²). Body fat quantity was higher in females than in males. As BMI increased, the body fat quantity measured by BIA also increased (P < 0.001). The mean LAP index of men was higher than the mean LAP index of women in both the normal-weight group and the obese group (P = 0.025 and P = 0.033, respectively). One unit increase in visceral fat percentage resulted in a 77.9% increase in CMR. Conclusions: It may not be sufficient to use only BMI to predict obesity and related cardiometabolic diseases. According to the study findings, it was determined that the increase in visceral fat percentage significantly increases the CMR.

Endocrine-Metabolic Dysfunction in Polycystic Ovary Syndrome: an Evolutionary Perspective

Polycystic ovary syndrome (PCOS) is characterized by hyperandrogenism, oligo-anovulation and polycystic ovarian morphology, with metabolic dysfunction from insulin resistance and abdominal fat accumulation worsened by obesity. As ancestral traits, these features could have favored abdominal fat deposition for energy use during starvation, but have evolved into different PCOS phenotypes with variable metabolic dysfunction. Adipose dysfunction in PCOS from hyperandrogenemia and hyperinsulinemia likely constrains subcutaneous (SC) fat storage, promoting lipotoxicity through ectopic lipid accumulation and oxidative stress, insulin resistance and inflammation in non-adipose tissue. Recent findings of inherently exaggerated SC abdominal stem cell development to adipocytes in women with PCOS, and PCOS-like traits in adult female monkeys with natural hyperandrogenemia, imply common ancestral origins of PCOS in both human and nonhuman primates.

Lipid accumulation product independently correlate with hepatic steatosis quantified by controlled attenuation parameter in women with polycystic ovary syndrome

OBJECTIVE

To explore the independent associations of the new adiposity indices lipid accumulation product (LAP) index, visceral adiposity index (VAI), and product of triglycerides and glucose (TyG) with the risks of hepatic steatosis (HS) in women with polycystic ovary syndrome (PCOS).

DESIGN

This is a cross-sectional study with 101 women with PCOS undergoing controlled attenuation parameter (CAP) measurement who were recruited from November 2018 to August 2019. Multivariable logistic regression analysis was performed to determine the associations of adiposity indices with HS.

RESULT(S)

Among the 101 PCOS patients, the prevalence rate of HS was 70.3%. The PCOS patients with HS have higher percentage of overweight/obesity status, higher level of aminotransferase (AST and ALT), homeostasis model assessment of insulin resistance (HOMA-IR), LAP, VAI, TyG, waist circumference (WC), and BMI (P < 0.05). Partial correlation analysis showed LAP, WC and BMI were significantly positively associated with CAP (P < 0.05) after controlling for confounding factors. Besides, BMI, WC, and CAP were gradually elevated with the increase of LAP level. Further, multivariable logistic regression analysis showed adjusted odd ratio (OR) with associated 95% CI (OR (95% CI)) were respectively 1.09 (1.03-1.16) for LAP, 1.14 (1.05-1.23) for WC, 1.28 (1.08-1.51) for BMI, respectively.

CONCLUSIONS

The present study demonstrates that in women with PCOS, except for the traditional adiposity indices (WC and BMI), LAP is independently correlated with the risk of HS.

Adipose Insulin Resistance in Normal-Weight Women With Polycystic Ovary Syndrome

CONTEXT

Normal-weight women with polycystic ovary syndrome (PCOS) may have adipose tissue insulin resistance (adipose-IR).

OBJECTIVE

To examine whether adipose-IR and subcutaneous (SC) abdominal adipose stem cell (ASC) gene expression are altered in normal-weight women with PCOS and correlated with hyperandrogenemia and/or whole-body IR.

DESIGN

Prospective cohort study.

SETTING

Academic medical center.

PATIENTS

Ten normal-weight women with PCOS and 18 control subjects matched for age and body mass index.

INTERVENTION(S)

Women underwent circulating hormone and metabolic measurements, IV glucose tolerance testing, total-body dual-energy x-ray absorptiometry, and SC abdominal fat biopsy.

MAIN OUTCOME MEASURE(S)

Adipose-IR (fasting insulin × total fatty acid levels) and SC abdominal ASC gene expression were compared between groups and correlated with clinical outcomes.

RESULTS

Adipose-IR was greater in women with PCOS than in control subjects (P < 0.01), with 29 pmol/L × mmol/L providing 94% specificity and 80% sensitivity in discriminating the two groups (P < 0.001). Adipose-IR positively correlated with serum androgen and log of fasting triglyceride (TG) levels, percentage of small adipocytes (P < 0.01, all correlations), and acute insulin response to glucose (P < 0.05); and negatively correlated with insulin sensitivity (Si; P < 0.025) and serum adiponectin levels (P < 0.05). Adjusting for serum androgens, adipose-IR correlations with Si and log TG levels remained significant. ASC genes were differentially expressed by the two groups. Expression of functionally critical genes was associated with serum testosterone and/or fasting insulin levels.

CONCLUSION

Normal-weight women with PCOS have increased adipose-IR and altered ASC gene expression related to hyperandrogenism and IR.