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Increased plasma lipopolysaccharide-binding protein and altered inflammatory mediators reveal a pro-inflammatory state in overweight women

Abstract

Background

Chronic low-grade inflammation has been recognized as an underlying event linking obesity to diabetes and cardiovascular disease (CVD). However, inflammatory alterations in individuals and specifically women who are overweight remain understudied. Providing relevant insights is of substantial interest for women’s cardiovascular health.

Methods

We determined the levels of key circulating biomarkers of innate immune responses and inflammation, including lipopolysaccharide-binding protein (LBP), C-reactive protein (CRP), interleukin-6 (IL-6), leptin, and adiponectin in adult female subjects who were lean (n = 20) or overweight (n = 20) and had high cholesterol and/or high blood pressure - two important conventional risk factors for CVD.

Results

Plasma levels of LBP were significantly higher in the overweight group compared with the lean group (P = 0.017). The levels of CRP were also significantly higher in overweight subjects (P = 0.023), as were IL-6 (P = 0.016) and leptin (P = 0.004), pro-inflammatory mediators associated with cardiovascular risk. Levels of adiponectin, an adipokine with anti-inflammatory and anti-atherogenic functions, were significantly lower in the overweight group (P = 0.006). The leptin/adiponectin ratio, a preferential atherogenic marker was significantly increased in women who are overweight (P = 0.0007). LBP, CRP, leptin, IL-6, leptin, and adiponectin levels significantly correlated with BMI, but not with age and there was a significant correlation between LBP and IL-6 levels and LBP and CRP levels.

Conclusions

These results reveal the presence of a pro-inflammatory state in overweight women and are of interest for further studies with the goal for improved understanding of cardiovascular health risks in women.

Peer Review reports

Background

Obesity and the closely related metabolic syndrome are associated with an increased risk for diabetes, cardiovascular disease (CVD) and other debilitating and lethal disorders [1,2,3,4,5,6]. Publicly available information on the World Health Organization (WHO) website states that in 2016 around 1.9 billion adults (people over 18 years of age) were overweight, and more than 600 million were obese and the expectations are that more than 2.16 billion people will be overweight and 1.12 billion will be obese by 2030. A major underlying factor driving the pathogenesis in obesity and metabolic syndrome is the presence of a chronic low-grade inflammation, which is characterized by increased circulating IL-6 and other cytokines, as well as altered levels of adipokines, such as leptin and adiponectin [3, 7,8,9,10,11]. An important driver of the inflammatory state in obesity is metabolic endotoxemia, manifested by increased gut lipopolysaccharide (LPS)-containing microbiota and the consequent compromising of intestinal permeability that leads to increased circulatory LPS and LBP levels [12,13,14,15,16]. Obesity-associated metabolic endotoxemia and chronic inflammation promote metabolic derangements and are associated with increased cardiovascular risk [9, 15, 17,18,19,20,21,22].

In addition to obesity, there is evidence that overweight individuals may be at increased risk for CVD and other diseases [23, 24]. CVD is the leading cause of death among women in the United States [6, 25]. Increased cholesterol levels (hypercholesterolemia) and high blood pressure (hypertension) are important risk factors for CVD [6, 26]. Elevated total cholesterol, hypertension, and excessive body weight have been linked to age-dependent increases of coronary heart disease incidence and mortality in both men and women, but to a larger extent in women [27]. However, the underlying explanation for sex-specific differences in the CVD pathophysiology remain poorly understood [6]. As recently summarized, “Cardiovascular disease in women remains understudied, under-recognized, underdiagnosed, and undertreated globally” [6].

While metabolic endotoxemia and inflammation have been documented in people with obesity and linked to diabetes, CVD, and other diseases, inflammatory alterations in overweight individuals remain understudied. This is of specific interest for improved understanding of women’s cardiovascular health. To generate insight, we profiled a panel of plasma LPS-related biomarkers and other inflammatory indices, previously associated with CVD in obesity, in a cohort of women who were overweight compared to those who were lean. As dyslipidemia and hypertension are recognized leading traditional risk factors for CVD in women [6, 26], we enrolled subjects having high cholesterol and/or high blood pressure in both groups. We observed increased circulating levels of LBP, a marker of metabolic endotoxemia in parallel with elevated CRP, leptin, and IL-6 levels, and decreased adiponectin levels in overweight women.

Materials and methods

Human subjects and samples

All methods were carried out in accordance with relevant guidelines and regulations. Frozen plasma was obtained from research subjects who participated in the Institutional Review Board (IRB)-approved Genotype and Phenotype (GaP) registry (https://feinstein.northwell.edu/institutes-researchers/institute-molecular-medicine/robert-s-boas-center-for-genomics-and-human-genetics/gap-registry), a research program at the Feinstein Institutes for Medical research, Northwell Health. All research subjects completed an informed consent prior to study participation. The consent permits the use of specimens for future research. The study was approved by the Northwell Health IRB - IRB #09–081 A. Data were accessed for research between January 6, 2020, and October 6, 2020. Participants gave random blood samples and were chosen based on gender, body mass index (BMI) (lean: 18–24.9 kg/m2 (n = 20) vs. overweight: 25–29.9 kg/m2 (n = 20)), age, demographic information, and health/medical information (Supplementary Table 1). Subjects in both groups were relatively healthy, except they had self-reported hypertension (systolic  130 mm Hg and diastolic > 80 mm Hg) and/or high cholesterol (200 mg/dL) and minor conditions, including acne, eczema, gastroesophageal reflux disease (GERD), drug allergies, and other allergies, as well as osteoarthritis, osteopenia, and/or osteoporosis. Excluded conditions were Lyme disease, cancer (solid and blood [leukemia, lymphoma, etc.]), anemia, pancreatitis, emphysema, asthma, chronic obstructive pulmonary disease (COPD), inflammatory bowel disease (ulcerative colitis, Crohn’s), lupus, rheumatoid arthritis, valvular disease, heart failure, HIV, excess alcohol use, diabetes (types 1 and 2) and Alzheimer’s disease and other neurological conditions that would impair the subjects’ ability to consent, as well as those using steroids, insulin, metformin, or glyburide and those who smoke or vape.

Plasma sample analyses

All plasma samples were collected from consented GaP participants prior to the COVID-19 pandemic, aliquoted, and stored at -80 °C in the Boas Center Biorepository. Just prior to analysis plasma samples were thawed and then assayed for numerous analytes (using dilutions optimized in prior studies) according to the manufacturer’s guidelines: adiponectin using the adiponectin/Acrp30 ELISA (DY1065, R&D System, lower limit of detection ((LLoD) 15.6pg/ml), C-reactive protein or CRP by ELISA (DY1707, R&D Systems, LLoD 15.6pg/ml); leptin by ELISA (DY398-05, R&D Systems, LLoD 31.2pg/ml); LPS binding protein or LBP by ELISA (DY870-05, R&D Systems, LLoD 0.8ng/ml); and IL-6 using the V-plex MSD platform (K151QXD-2, Meso Scale Discovery, LLoD 0.06pg/ml).

Statistical analysis

Data were analyzed using GraphPad Prism (version 10) software. The data groups were first analyzed for satisfying normality using the Kolmogorov-Smirnov test. This testing revealed that the distribution of data within the overweight group did not satisfy normality for leptin and CRP, as well as for the leptin/adiponectin ratio in both groups. Therefore, the non-parametric Mann-Whitney test used to evaluate the differences between the groups. Significance was defined as P < 0.05 (two-tailed). Nonparametric Spearman correlation analysis was performed on the analytes and the strength of the correlations was assessed based on the Spearman r values as weak (0.2–0.39), moderate (0.40–0.59), or strong (0.6–0.79). A listing of the raw data used in this analysis is included within an Excel file in Supplementary Materials.

Results

Basic demographics of the study population

The average age and BMI for the lean and overweight cohorts is shown in Table 1. There was no statistically significant difference in subjects’ age. The average BMI of the subjects in the overweight group was significantly higher compared to the average BMI of the lean group (Table 1).

Table 1 Study participants’ age and BMI

Circulating markers of LPS-related inflammatory markers are altered in overweight women

LBP plays an important role in LPS transport and signaling; it mediates LPS interactions with immune cells and the LPS-induced transcription of pro-inflammatory cytokines [14, 28]. Because of the documented difficulties in measuring LPS in biological fluids [29,30,31,32], LBP has been proposed as a useful surrogate marker for activation of innate immune responses to microbial products, such as LPS [16, 33, 34]. Increased levels of circulating LBP have been determined in obesity and the metabolic syndrome and associated with increased circulating IL-6 levels, impaired insulin resistance and cardiovascular risk [16, 34,35,36]. In the present study we observed significantly increased plasma LBP in the overweight group compared with the lean group (Fig. 1A). In addition, plasma levels of CRP, a general inflammatory marker, were significantly higher in the overweight women (Fig. 1B), as were the cytokine IL-6 and the adipokine leptin (Fig. 1C, D). In contrast, the levels of adiponectin were significantly lower in the overweight group (Fig. 1E). In addition, the leptin/adiponectin ratio values were significantly increased in the overweight compared with the lean group (Fig. 1F).

Fig. 1
figure 1

Levels of circulating markers of inflammation are altered in overweight women compared with lean women. Plasma samples of overweight and lean subjects were analyzed for (A) LPB; *P = 0.017, (B) CRP; *P = 0.023, (C) IL-6; *P = 0.016, (D) leptin; **P = 0.004, and (E) adiponectin; **P = 0.006, as described in Materials and Methods, and leptin/adiponectin ratios; ***P = 0.0007 (F) were calculated. Data are shown as median with interquartile range

Plasma markers of endotoxemia and inflammation correlate with BMI

Additional data evaluation revealed that plasma inflammatory marker alterations correlated with BMI of the study subjects (both groups combined, n = 40; Fig. 2). A moderate, but significant correlation was observed between plasma LBP and BMI (Fig. 2A). Of note, it appeared that there was a breakpoint in the BMI vs. LBP relationship at the lower “overweight” limit. Similarly, we observed a moderate, but significant correlation between plasma CRP and BMI (Fig. 2B). There was a weak significant correlation between plasma IL-6 levels and BMI (Fig. 2C). A moderate and significant correlation was observed between plasma leptin and BMI (Fig. 2D) and between plasma adiponectin and BMI (Fig. 2E).

Fig. 2
figure 2

Correlation of plasma inflammatory indices and BMI. Plasma LBP (A), CRP (B), IL-6 (C), leptin (D), and adiponectin (E) levels significantly correlate with BMI as indicated by P values and Spearman correlation coefficient (r)

Plasma LBP level correlate with plasma IL-6 and CRP levels

Inter-correlation analysis of the analytes revealed that LBP was significantly correlated with IL-6 and CRP as shown in Fig. 3. Of note, no significant correlations were observed between the plasma inflammatory analytes and the age of the study participants as shown in Supplementary Fig. 1.

Fig. 3
figure 3

Correlation of LBP and IL-6 and CRP. Plasma LBP levels significantly correlate with IL-6 and CRP levels as indicated by the P value and Spearman correlation coefficient (r)

Discussion

Here, in women matched for age and having self-declared hypercholesterolemia and/or hypertension, we show that overweight women exhibited a pro-inflammatory state indicated by increased plasma concentrations of LBP, IL-6 and other proinflammatory markers and decreased anti-inflammatory adiponectin levels compared with lean controls. These differences are notable for the existence of a significant correlation with BMI as well as a positive correlation between LBP and the pro-inflammatory cytokine, IL-6. These findings indicate that markers of a pro-inflammatory state vary continuously with the BMI, suggesting that adiposity of any degree, even if considered to be within the normal range, is associated with detectable levels of pro-inflammatory molecules. Whether these have clinical significance will require additional large, prospective clinical studies, but it stands to reason that a sustained low grade inflammatory milieu likely has clinical consequences.

Although there is a significant gap in our understanding of inflammation in overweight individuals, previous studies in obese individuals have clearly indicated the presence of metabolic endotoxemia (based on LBP levels) and a chronic inflammatory state and their role in promoting further metabolic dysfunction and pathogenesis [3, 7,8,9, 37,38,39,40,41,42,43]. Metabolic endotoxemia in obesity has been specifically linked to the pathogenesis of CVD [15, 22] and increased LBP levels have been directly associated with an increased risk of CVD [22]. Endotoxemia increases the production of IL-6 and other cytokines and significantly contributes to a pro-inflammatory state. IL-6 and the adipokine leptin are key mediators of inflammation in obesity [3, 44]. IL-6 has been characterized as an important link between obesity and coronary heart disease [45]. Importantly, in a large prospective study, increased IL-6 levels were associated with a higher risk of CVD, specifically coronary heart disease, as strongly as major established risk factors, such as blood pressure and blood cholesterol levels [46] Of note, a significant correlation between plasma LBP and IL-6 levels has been previously documented in a large population spanning a large range of BMI and serum LBP concentrations [47], as well as subjects (males and females) with frank obesity [16]. Leptin is an adipokine with an essential role in energy balance through a variety of functions, some of which are related to cardiovascular health [7, 19, 21]. Increased leptin levels in obesity are associated with activation of pro-inflammatory signaling and increased thrombosis and arterial distensibility in obese patients [11, 48, 49]. Elevated leptin levels arising from leptin resistance in obesity are associated with insulin resistance and CVD [19]. In contrast, adiponectin is an adipokine with anti-inflammatory and antithrombotic properties [7, 50]. Decreased plasma adiponectin levels were associated with an increased risk of myocardial infarction [51]. Plasma levels of CRP (high-sensitive C-reactive protein), a general marker of chronic subclinical inflammation, have been positively correlated with plasma leptin levels and inversely with plasma adiponectin [52,53,54]. The leptin/adiponectin ratio is indicated as a more reliable marker in CVD assessment compared with individual leptin and adiponectin measures [55,56,57] and proposed as a better marker of a first cardiovascular event in men than plasma leptin and adiponectin levels alone [58].

Until longitudinal data concerning the pro-inflammatory state are available, it may be prudent to institute proactive measures to monitor and reduce the circulating levels of LBP, as a surrogate biomarker for endotoxemia. As composition of the diet has been shown to be a critical driver of metabolic endotoxemia (reviewed in [59]), with high saturated fat ingestion causing postprandial endotoxemia with increases in IL-6 even in lean subjects [60, 61], dietary intervention would be a reasonable initial step. Other possibilities include pharmacological interventions, including the potential development of anti-LPS peptides which neutralize LPS signaling of immune system activation [59].

In addition to the small number of subjects assessed, there are several limitations of this study. An important one is that the degree of abdominal adiposity (in contrast to subcutaneous fat deposits) has been implicated in the pathogenesis of a systemic inflammatory response and correlates well with the production of pro-inflammatory cytokines [62]. Of note, as a single measure BMI cannot fully capture this variable as it is quite insensitive to changes in regional body composition. That is, a smaller waist circumference for any given BMI is indicative of subcutaneous fat deposits, in contrast to an abdominal location in an individual possessing a larger waist circumference. A consensus has appeared that including the waist circumference as a measured variable provides information independent of the BMI, and when both are considered together the predictive accuracy of cardiometabolic risk is significantly increased [63]. Additional limitations include other potentially contributing factors that were not assessed, including the existence of abnormal glucose tolerance, homeostatic model assessment for insulin resistance (HOMA-IR) information, lipid profile, degree of sedentary behavior, and the confirmation, severity and pharmacological treatment status of self-reported hypercholesterolemia and hypertension, among others. Lastly, as dietary factors are a major driver of the appearance of LPS into the circulation, in future studies plasma samples should be obtained under standardized fasting conditions.

Conclusion

Our results indicate that despite the presence of hypertension and/or high cholesterol levels in two groups of women characterized using BMI as overweight versus lean, circulating biomarkers of innate immune activation and inflammation, including LBP, CRP, IL-6, and leptin are increased and adiponectin is decreased in the overweight group. Previous studies have focused on evaluating LBP and inflammatory markers in subjects with obesity and alterations of these molecules observed in obese individuals have been linked to an increased cardiometabolic risk. Our study is among the first to provide insight into the overweight category and more specifically in overweight women. While the number of subjects in this study was small, the presence of subclinical pro-inflammatory state, the degree of which varied continuously with BMI encourage performing larger studies to further characterize individuals who are overweight, but not yet classified as obese. These individuals may benefit from therapy to alleviate chronic, low-grade inflammation as an additional risk factor for the development of CVD and other disorders.

Data availability

Data is provided within the manuscript or supplementary information files.

Abbreviations

LBP:

Lipopolysaccharide-binding protein

CRP:

C-reactive protein

IL-6:

Interleukin-6

CVD:

Cardiovascular disease

WHO:

World Health Organization

IRB:

Institutional Review Board

GaP:

Genotype and Phenotype

BMI:

Body mass index

LLoD:

Lower limit of detection

HOMA-IR:

Homeostatic model assessment for insulin resistance

References

  1. Heymsfield SB, Wadden TA. Mechanisms, pathophysiology, and management of obesity. N Engl J Med. 2017;376(3):254–66.

    Article  PubMed  CAS  Google Scholar 

  2. Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: public-health crisis, common sense cure. Lancet. 2002;360(9331):473–82.

    Article  PubMed  Google Scholar 

  3. Pavlov VA. The evolving obesity challenge: targeting the vagus nerve and the inflammatory reflex in the response. Pharmacol Ther. 2021;222:107794.

    Article  PubMed  CAS  Google Scholar 

  4. Grundy SM, Obesity. Metabolic syndrome, and Cardiovascular Disease. J Clin Endocrinol Metabolism. 2004;89(6):2595–600.

    Article  CAS  Google Scholar 

  5. Ritchie SA, Connell JMC. The link between abdominal obesity, metabolic syndrome and cardiovascular disease. Nutr Metabolism Cardiovasc Dis. 2007;17(4):319–26.

    Article  CAS  Google Scholar 

  6. Vogel B, Acevedo M, Appelman Y, Bairey Merz CN, Chieffo A, Figtree GA, et al. The Lancet women and cardiovascular disease commission: reducing the global burden by 2030. Lancet. 2021;397(10292):2385–438.

    Article  PubMed  Google Scholar 

  7. Pavlov VA, Tracey KJ. The vagus nerve and the inflammatory reflex–linking immunity and metabolism. Nat Reviews Endocrinol. 2012;8(12):743–54.

    Article  CAS  Google Scholar 

  8. Shoelson SE, Herrero L, Naaz A. Obesity, inflammation, and insulin resistance. Gastroenterology. 2007;132(6):2169–80.

    Article  PubMed  CAS  Google Scholar 

  9. Esser N, Legrand-Poels S, Piette J, Scheen AJ, Paquot N. Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res Clin Pract. 2014;105(2):141–50.

    Article  PubMed  CAS  Google Scholar 

  10. Gregor MF, Hotamisligil GS. Inflammatory mechanisms in obesity. Annu Rev Immunol. 2011;29:415–45.

    Article  PubMed  CAS  Google Scholar 

  11. Ouchi N, Parker JL, Lugus JJ, Walsh K. Adipokines in inflammation and metabolic disease. Nat Rev Immunol. 2011;11(2):85–97.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. Cani PD, Delzenne NM. The role of the gut microbiota in energy metabolism and metabolic disease. Curr Pharm Design. 2009;15(13):1546–58.

    Article  CAS  Google Scholar 

  13. Cani PD, Amar J, Iglesias MA, Poggi M, Knauf C, Bastelica D, et al. Metabolic endotoxemia initiates obesity and insulin resistance. Diabetes. 2007;56(7):1761–72.

    Article  PubMed  CAS  Google Scholar 

  14. Mohammad S, Thiemermann C. Role of metabolic endotoxemia in systemic inflammation and potential interventions. Front Immunol. 2021;11:594150.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Neves AL, Coelho J, Couto L, Leite-Moreira A, Roncon-Albuquerque R. Metabolic endotoxemia: a molecular link between obesity and cardiovascular risk. J Mol Endocrinol. 2013;51(2):R51.

  16. Gonzalez-Quintela A, Alonso M, Campos J, Vizcaino L, Loidi L, Gude F. Determinants of serum concentrations of lipopolysaccharide-binding protein (LBP) in the adult population: the role of obesity. PLoS ONE. 2013;8(1):e54600.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. de Gusmao Correia ML, Haynes WG. Leptin, obesity and cardiovascular disease. Curr Opin Nephrol Hypertens. 2004;13(2):215–23.

    Article  Google Scholar 

  18. Lumeng CN, Saltiel AR. Inflammatory links between obesity and metabolic disease. J Clin Investig. 2011;121(6):2111–7.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Martin SS, Qasim A, Reilly MP. Leptin resistance. J Am Coll Cardiol. 2008;52(15):1201–10.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. Mathieu P, Lemieux I, Després JP. Obesity, inflammation, and cardiovascular risk. Clin Pharmacol Ther. 2010;87(4):407–16.

    Article  PubMed  CAS  Google Scholar 

  21. Nakamura K, Fuster JJ, Walsh K. Adipokines: a link between obesity and cardiovascular disease. J Cardiol. 2014;63(4):250–9.

    Article  PubMed  Google Scholar 

  22. Roberts LM, Buford TW. Lipopolysaccharide binding protein is associated with CVD risk in older adults. Aging Clin Exp Res. 2021;33(6):1651–8.

    Article  PubMed  Google Scholar 

  23. Kivimäki M, Kuosma E, Ferrie JE, Luukkonen R, Nyberg ST, Alfredsson L, et al. Overweight, obesity, and risk of cardiometabolic multimorbidity: pooled analysis of individual-level data for 120 813 adults from 16 cohort studies from the USA and Europe. Lancet Public Health. 2017;2(6):e277–85.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Wilson PW, D’Agostino RB, Sullivan L, Parise H, Kannel WB. Overweight and obesity as determinants of cardiovascular risk: the Framingham experience. Arch Intern Med. 2002;162(16):1867–72.

    Article  PubMed  Google Scholar 

  25. Garcia M, Mulvagh SL, Merz CNB, Buring JE, Manson JE. Cardiovascular Disease in Women. Circul Res. 2016;118(8):1273–93.

    Article  CAS  Google Scholar 

  26. Schenck-Gustafsson K. Risk factors for cardiovascular disease in women. Maturitas. 2009;63(3):186–90.

    Article  PubMed  Google Scholar 

  27. Jousilahti P, Vartiainen E, Tuomilehto J, Puska P, Sex. Age, Cardiovascular Risk factors, and Coronary Heart Disease. Circulation. 1999;99(9):1165–72.

    Article  PubMed  CAS  Google Scholar 

  28. Hailman E, Lichenstein HS, Wurfel MM, Miller DS, Johnson DA, Kelley M, et al. Lipopolysaccharide (LPS)-binding protein accelerates the binding of LPS to CD14. J Exp Med. 1994;179(1):269–77.

    Article  PubMed  CAS  Google Scholar 

  29. Cohen J. The detection and interpretation of endotoxaemia. Intensive Care Med. 2000;26:S051–6.

    Article  Google Scholar 

  30. Novitsky TJ. Limitations of the Limulus amebocyte lysate test in demonstrating circulating lipopolysaccharides. Ann N Y Acad Sci. 1998;851(1):416–21.

    Article  PubMed  CAS  Google Scholar 

  31. Munford RS. Invited review: detoxifying endotoxin: time, place and person. J Endotoxin Res. 2005;11(2):69–84.

    PubMed  CAS  Google Scholar 

  32. Munford RS. Endotoxemia-menace, marker, or mistake? J Leukoc Biol. 2016;100(4):687–98.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Awoyemi A, Trøseid M, Arnesen H, Solheim S, Seljeflot I. Markers of metabolic endotoxemia as related to metabolic syndrome in an elderly male population at high cardiovascular risk: a cross-sectional study. Diabetol Metab Syndr. 2018;10:59.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Moreno-Navarrete J, Ortega F, Serino M, Luche E, Waget A, Pardo G, et al. Circulating lipopolysaccharide-binding protein (LBP) as a marker of obesity-related insulin resistance. Int J Obes. 2012;36(11):1442–9.

    Article  CAS  Google Scholar 

  35. Trøseid M, Nestvold TK, Rudi K, Thoresen H, Nielsen EW, Lappegård KT. Plasma lipopolysaccharide is closely associated with glycemic control and abdominal obesity: evidence from bariatric surgery. Diabetes Care. 2013;36(11):3627–32.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Lepper PM, Schumann C, Triantafilou K, Rasche FM, Schuster T, Frank H, et al. Association of lipopolysaccharide-binding protein and coronary artery disease in men. J Am Coll Cardiol. 2007;50(1):25–31.

    Article  PubMed  CAS  Google Scholar 

  37. Nathan C. Epidemic inflammation: pondering obesity. Mol Med. 2008;14(7–8):485–92.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Chang EH, Chavan SS, Pavlov VA. Cholinergic Control of Inflammation, metabolic dysfunction, and cognitive impairment in obesity-Associated disorders: mechanisms and Novel Therapeutic opportunities. Front NeuroSci. 2019;13:263.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Saltiel AR, Olefsky JM. Inflammatory mechanisms linking obesity and metabolic disease. J Clin Investig. 2017;127(1):1–4.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Donath MY, Shoelson SE. Type 2 diabetes as an inflammatory disease. Nat Rev Immunol. 2011;11(2):98–107.

    Article  PubMed  CAS  Google Scholar 

  41. Tilg H, Moschen AR. Adipocytokines: mediators linking adipose tissue, inflammation and immunity. Nat Rev Immunol. 2006;6(10):772–83.

    Article  PubMed  CAS  Google Scholar 

  42. Esser N, Paquot N, Scheen AJ. Anti-inflammatory agents to treat or prevent type 2 diabetes, metabolic syndrome and cardiovascular disease. Expert Opin Investig Drugs. 2015;24(3):283–307.

    Article  PubMed  CAS  Google Scholar 

  43. Kenchaiah S, Evans JC, Levy D, Wilson PW, Benjamin EJ, Larson MG, et al. Obesity and the risk of heart failure. N Engl J Med. 2002;347(5):305–13.

    Article  PubMed  Google Scholar 

  44. Elks CM, Francis J. Central adiposity, systemic inflammation, and the metabolic syndrome. Curr Hypertens Rep. 2010;12(2):99–104.

    Article  PubMed  CAS  Google Scholar 

  45. Yudkin JS, Kumari M, Humphries SE, Mohamed-Ali V. Inflammation, obesity, stress and coronary heart disease: is interleukin-6 the link? Atherosclerosis. 2000;148(2):209–14.

    Article  PubMed  CAS  Google Scholar 

  46. Danesh J, Kaptoge S, Mann AG, Sarwar N, Wood A, Angleman SB, et al. Long-term interleukin-6 levels and subsequent risk of coronary heart disease: two new prospective studies and a systematic review. PLoS Med. 2008;5(4):e78.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Asada M, Oishi E, Sakata S, Hata J, Yoshida D, Honda T, et al. Serum lipopolysaccharide-binding protein levels and the incidence of Cardiovascular Disease in a General Japanese Population: the Hisayama Study. J Am Heart Assoc. 2019;8(21):e013628.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Konstantinides S, Schäfer K, Koschnick S, Loskutoff DJ. Leptin-dependent platelet aggregation and arterial thrombosis suggests a mechanism for atherothrombotic disease in obesity. J Clin Investig. 2001;108(10):1533–40.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  49. Singhal A, Farooqi IS, Cole TJ, O’Rahilly S, Fewtrell M, Kattenhorn M, et al. Influence of leptin on arterial distensibility: a novel link between obesity and cardiovascular disease? Circulation. 2002;106(15):1919–24.

    Article  PubMed  CAS  Google Scholar 

  50. Katsiki N, Mantzoros C, Mikhailidis DP. Adiponectin, lipids and atherosclerosis. Curr Opin Lipidol. 2017;28(4):347–54.

    Article  PubMed  CAS  Google Scholar 

  51. Pischon T, Girman CJ, Hotamisligil GS, Rifai N, Hu FB, Rimm EB. Plasma adiponectin levels and risk of myocardial infarction in men. JAMA. 2004;291(14):1730–7.

    Article  PubMed  CAS  Google Scholar 

  52. Shetty GK, Economides PA, Horton ES, Mantzoros CS, Veves A. Circulating adiponectin and resistin levels in relation to metabolic factors, inflammatory markers, and vascular reactivity in diabetic patients and subjects at risk for diabetes. Diabetes Care. 2004;27(10):2450–7.

    Article  PubMed  CAS  Google Scholar 

  53. Ble A, Windham BG, Bandinelli S, Taub DD, Volpato S, Bartali B, et al. Relation of plasma leptin to C-reactive protein in older adults (from the Invecchiare Nel Chianti study). Am J Cardiol. 2005;96(7):991–5.

    Article  PubMed  CAS  Google Scholar 

  54. Ouchi N, Kihara S, Funahashi T, Nakamura T, Nishida M, Kumada M, et al. Reciprocal association of C-reactive protein with adiponectin in blood stream and adipose tissue. Circulation. 2003;107(5):671–4.

    Article  PubMed  CAS  Google Scholar 

  55. Satoh N, Naruse M, Usui T, Tagami T, Suganami T, Yamada K, et al. Leptin-to-adiponectin ratio as a potential atherogenic index in obese type 2 diabetic patients. Diabetes Care. 2004;27(10):2488–90.

    Article  PubMed  CAS  Google Scholar 

  56. Kotani K, Sakane N, Saiga K, Kurozawa Y. Leptin: adiponectin ratio as an atherosclerotic index in patients with type 2 diabetes: relationship of the index to carotid intima–media thickness. Diabetologia. 2005;48:2684–6.

    Article  PubMed  CAS  Google Scholar 

  57. Norata GD, Raselli S, Grigore L, Garlaschelli K, Dozio E, Magni P, et al. Leptin: adiponectin ratio is an independent predictor of intima media thickness of the common carotid artery. Stroke. 2007;38(10):2844–6.

    Article  PubMed  CAS  Google Scholar 

  58. Kappelle PJWH, Dullaart RPF, van Beek AP, Hillege HL, Wolffenbuttel BHR. The plasma leptin/adiponectin ratio predicts first cardiovascular event in men: a prospective nested case–control study. Eur J Intern Med. 2012;23(8):755–9.

    Article  PubMed  CAS  Google Scholar 

  59. Mohammad S, Thiemermann C. Role of metabolic endotoxemia in systemic inflammation and potential interventions. Front Immunol. 2020;11:594150.

    Article  PubMed  CAS  Google Scholar 

  60. Laugerette F, Vors C, Alligier M, Pineau G, Drai J, Knibbe C et al. Postprandial Endotoxin Transporters LBP and sCD14 Differ in obese vs. overweight and normal weight men during Fat-Rich Meal digestion. Nutrients. 2020;12(6).

  61. Vors C, Pineau G, Drai J, Meugnier E, Pesenti S, Laville M, et al. Postprandial Endotoxemia Linked with chylomicrons and lipopolysaccharides handling in obese Versus lean men: a lipid dose-effect trial. J Clin Endocrinol Metab. 2015;100(9):3427–35.

    Article  PubMed  CAS  Google Scholar 

  62. Rexrode KM, Pradhan A, Manson JE, Buring JE, Ridker PM. Relationship of total and abdominal adiposity with CRP and IL-6 in women. Ann Epidemiol. 2003;13(10):674–82.

    Article  PubMed  Google Scholar 

  63. Ross R, Neeland IJ, Yamashita S, Shai I, Seidell J, Magni P, et al. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on visceral obesity. Nat Rev Endocrinol. 2020;16(3):177–89.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors wish to thank Gila Klein of the Genotype and Phenotype Registry, and the participants who provided blood for this study, as well as Michael Ryan and Bibu Jacob and staff members of the Boas Center Biorepository at the Feinstein Institutes for isolating and storing the plasma samples.

Funding

This work was supported by the National Institutes of Health (NIH), National Institute of General Medical Sciences grants: RO1GM128008 and RO1GM121102 (to VAP) and R35GM118182 (to KJT).

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CNM and VAP proposed the experimental concept and designed the experiments. CNM, XX and PKC performed the experiments. CNM, VAP, XX, PKC, MB, and RPA analyzed data. CNM, VAP, and MB wrote and revised the manuscript. All authors reviewed the manuscript. JR, PG, and KJT provided additional comments to finalize the paper.

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Correspondence to Christine N. Metz or Valentin A. Pavlov.

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All research subjects completed an informed consent prior to study participation. The consent permits the use of specimens for future research. The study was approved by the Northwell Health IRB - IRB #09–081 A.

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The authors declare no competing interests.

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Michael Brines shares first authorship.

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Metz, C.N., Brines, M., Xue, X. et al. Increased plasma lipopolysaccharide-binding protein and altered inflammatory mediators reveal a pro-inflammatory state in overweight women. BMC Women's Health 25, 57 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12905-025-03588-4

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