Endotoxins and Metabolic Endotoxemia in Obesity and Associated Noncommunicable Diseases: A Focus on Sex Differences
Abstract
1. Introduction
2. Sex-Related Regulators of Metabolic Endotoxemia
3. Metabolic Endotoxemia and Inflammation
4. Metabolic Endotoxemia in Obesity and the Impact of Diet
| Study | Population/ Sample Size | Males/Females | Age (Years) | LPS Stimulation/ Endotoxemia Assessment | Results | References |
|---|---|---|---|---|---|---|
| Metabolic endotoxemia and inflammation | ||||||
| Observational | N = 500 Caucasian ethnicity | 250 M, 250 F | 20–70 | LBP determination | LBP, Zonulin: F = M sCD14: ↑ F | Hoshiko et al. (2021) [35] |
| In vivo LPS challenge | N = 28 Caucasian ethnicity | 14 M, 14 F | 22–41 | LPS = 0.4 ng/kg | LBP: ↑ F TNF-α, IL-6, IL-1RA: ↑ F sCD14: F = M IL-10: ↓ F | Engler et al. (2016) [42] |
| N = 30 Ethnicity not specified | 15 M, 15 F (9/15 F on hormonal contraceptives) | 25–27 | LPS = 2 ng/kg |
(9.9 ± 1.1 vs. 7.0 ± 0.8 pg/mL, p < 0.042),
(32.9 ± 4.2 vs. 21.1 ± 1.9; p < 0.004) TNF-α, IFN-γ, CRP: ↑ F IL-6, IL-10: F = M | van Eijk et al. (2007) [43] | |
| N = 40 Ethnicity not specified | 20 M, 20 F on hormonal contraceptives | 18–45 | LPS = 0.4 ng/kg | TNF-α, IL-6: ↑ F | Wegner et al. (2015) [44] | |
| N = 20 Ethnicity not specified | 10 M, 10 F on hormonal contraceptives | 22–41 | In vivo-LPS = 0.4 ng/kg Ex vivo-LPS = 12.5–400 pg/mL | In vivo: TNF-α, IL-6: ↑ F Ex vivo: TNF-α, IL-6: F = M | Wegner et al. (2017) [45] | |
| N = 59 Different ethnicity | 22 M, 37 F | 18–50 | LPS = 0.8 ng/kg | TNF-α, CXCL8, FOS, JUN, CCL3, ADRB2, CREB: ↑ F NF-κB, AP-1: F = M | Boyle et al. (2024) [46] | |
| N = 100 Ethnicity not specified | 56 M, 54 F (24/54 F on hormonal contraceptives) | 18–34 | LPS = 1 ng/kg At day 0 and day 7 | TNF-α, IL-6, IP-10; G-CSF: ↑ F | Jansen et al. (2025) [47] | |
| N = 24 Different ethnicity | 16 M, 8 F | 26–29 | LPS = 2 ng/kg | TNF-α, IL-6, CXCL8, IL-10: F = M | Coyle et al. (2006) [48] | |
| N = 294 Different ethnicity | 143 M, 151 F | 18.5–36 | LPS = 1 ng/kg |
IL1-RA: ↓ Africans vs. Europeans | Ferguson et al. (2013) [52] | |
| Ex vivo LPS stimulation | N = 4020 Different ethnicities from 15 study populations | F, M (M~42%) | 21–85 | LPS = 10 ng/mL–10 µg/mL | TNF-α, IL-6, IL-12, IL-1β IL-1RA, IL-10: ↓ F IFN-γ: F = M GM-CSF: ↑ F After adjusting for monocyte count IL-10: ↓ F | Beenakker et al. (2020) [49] |
| N = 231 Different ethnicity | 159 M, 72 F | Mean age F: 30.9 ± 8.2 M: 30.4 ± 8.7 | LPS = 1 μg/mL | TNF-α: ↓ F | Moxley et al. (2002) [50] | |
| N = 160 Different ethnicity | 53 M, 109 F (36/109 F post-menopausal) | 25–65 | LPS = 1 μg/mL | At lower LBP:sCD14 levels depressive symptoms and inflammation: F = M At higher LBP: sCD14 levels depressive symptoms and inflammation: ↓ F | Knight et al. (2020) [51] | |
| Metabolic endotoxemia and obesity | ||||||
| Cross-sectional | N = 420 (Nw: 112; Ow: 180; Ob: 127) Caucasian ethnicity | 189 M, 231 F | 18–92 (mean age 55) | LBP and sCD14 determination | sCD14: ↓ F (F = 3.28/M = 3.30 µg/mL) LBP:
| Gonzalez-Quintela et al. (2013) [68] |
| N = 193 Different ethnicities:
| 96 F, 97 M
| 40–59 | LPS serum levels | LPS:
| Miller et al. (2009) [75] | |
| N = 64 (Nw: 32; Ob: 32) Ethnicity not specified | Nw: 16 M, 16 F Ob: 13 M, 19 F | 18–25 (mean age 21) | LPS serum levels | LPS:
| Radilla-Vázquez et al. (2016) [76] | |
| N = 33 (Ob) (Low LPS: 17; High LPS: 16) Ethnicity not specified | Low LPS: 47.1% M: 52.9% F High LPS: 25% M/75% F | Mean age Low LPS: 45.27 ± 2.39 High LPS 43.40 ± 2.71 | LPS serum levels | Low LPS group (0.081 ± 0.003 EU/mL):
| Clemente-Postigo et al. (2019) [77] | |
| Intervention (5 days of HFD) | N = 32 16 Nw 16 Ob | 66% F | 50–79 | LPS serum levels | LPS:
| Ogilvie et al. (2025) [86] |
5. Metabolic Endotoxemia in Obesity-Associated Noncommunicable Diseases
5.1. Metabolic Disorders
5.2. Cardiovascular Diseases
5.3. Gastrointestinal Cancers
5.4. Neurodegenerative Diseases
5.5. Aging
| Disease Condition | Study Type | Population/ Sample Size | F/M (%F) | Age (Range/ Mean) | Endotoxemia Assessment | Results | References | |
|---|---|---|---|---|---|---|---|---|
| ME Markers (Blood Levels) | ME Markers (Association with Disease or Disease Risk) | |||||||
| Metabolic disorders | ||||||||
| T2DM | Cross-sectional | Saudi Arabian cohort/ T2DM (N = 387) Controls (N = 388) | T2DM: 186 F/201 M Controls: 214 F/174 M (51.7) | 40–80 | Serum LPS | ↑ in T2DM M = F | ND | Al-Daghri et al. (2022) [91] |
| MetS | Cross-sectional | Spanish cohort/ random sample of the adult population (N = 420) MetS (N = 105) Controls (N = 315) | 231 F/189 M (55) | 18–92 | Serum LBP | ↑ in MetS M = F ↑ in Ow, Ob, and older subjects | positive association with MetS M = F positive association with central obesity, low HLD-cholesterol, liver enzymes, IL-6, IL-8 | Gonzalez-Quintela et al. (2013) [68] |
| Cardiovascular diseases | ||||||||
| Subclinical atherosclerosis (arterial stiffness) | Cross-sectional | Japanese cohort/ T2DM (N = 196) | 95 F/101 M (48.4) | 47–75 | Serum LBP | M = F | positive association with arterial stiffness ↑ M | Sakura et al. (2017) [106] |
| CHD | Cross-sectional | British multi-ethnic cohort/ Healthy subjects (N = 192) | 96 F/96 M (50) | 40–59 | Plasma LPS | ↑ M ↑ South Asians > White > Africans | positive association with estimated CHD risk | Miller et al. (2009) [75] |
| CHD | Prospective nested case–control | North American male cohort (HPFS)/ Incident CHD cases (N = 496) Controls (N = 496) | 0 F/496 M (0) | 40–75 | Baseline plasma LBP and sCD14 | ND | no association with CHD risk positive association with BMI, CRP negative association with HDL-cholesterol | Wang et al. (2025) [108] |
| CHD | Prospective nested case–control | North American female cohort (NHSII)/ Incident CHD cases (N = 212) Controls (N = 212) | 212 F/0 M (100) | 25–42 | Baseline plasma sCD14 | ND | positive association with CHD risk association with CRP, total/HDL-cholesterol | Wang et al. (2025) [108] |
| Subclinical vascular injury | Cross-sectional | Italian cohort/ Ob children/adolescents (N = 60) | 36 F/24 M (60) | 8–18 | Serum LPS | ↑ M | positive correlation with TNF-a, PAI-1, sICAM-1, MMP-9, MPO, VEGF | Varma et al. (2015) [109] |
| Gastrointestinal cancers | ||||||||
| Colorectal adenoma | Clinical trial | American cohort/ 193 subjects with adenomatous polyposis | 71 F/122 M (37) | 30–74 | Serum anti-LPS IgA | ↑ M | positive association with BMI | Yang et al. (2016) [114] |
| CRC | Prospective case–control | European cohort (EPIC)/ Incident CRC cases (N = 1065; colon N = 667; rectal N = 398) Controls: 1065 | 368 F/299 M (55.5, colon) 187 F/211 M (47, rectal) | 58.1 (6.8) | Baseline serum anti-LPS IgA/IgG | M = F | positive association with CRC risk ↑ M | Kong et al. (2016) [115] |
| CRC | Nested case–control/ | Multi-ethnic cohort/ Incident CRC cases (N = 819) Controls (N = 819) | Cases/Controls: 366 F/453 M (44.7) | 45–75 | Baseline plasma LBP | M = F | no association with CRC risk M = F | Citronberg et al. (2018) [116] |
| Neurodegenerative diseases | ||||||||
| PD | Prospective case–control | European cohort (EPIC)/ Incident PD cases (N = 352) Controls (N = 352) | PD/Controls: 157 F/195 M (45) | PD cases: 54–65 Controls: 55–65 | Baseline plasma LBP | in controls M = F ↑ in PD cases ↑ F | association with PD risk ↑ F ↑ Ow/Ob | Zhao et al. (2023) [128] |
| Chronic pain | Randomized controlled | Sweden/ Healthy subjects receiving an intravenous injection of LPS (0.6 ng/kg) or saline (N = 52) | i.v. LPS: 18 F/13 M Saline: 11 F/10 M (55.7) | 18–50 | ND | ND | i.v. LPS injection: impaired conditioned pain modulation ↑ F Induced plasma IL-6 and IL-8 ↑ F | Karshikoff et al. (2015) [133] |
| Chronic pain | Randomized controlled crossover | German/ Healthy subjects receiving an intravenous injection of LPS (0.4 ng/kg) or saline (N = 40) | 20 F/20 M (50) | 18–45 | ND | ND | i.v. LPS injection: induced state anxiety, visceral and musculoskeletal hyperalgesia M = F induced IL-6, TNF-a ↑ F | Wegner et al. (2015) [44] |
| Aging | ||||||||
| Aging | Prospective | North American/ 95 healthy participants: 17 young adults 41 adults 37 older adults | 54 F/41 M (56.8) | 20–100 | Serum LPS | Markers of barrier function ↓ F Age-related increase in LPS, TNF-a/IL-10 ratio, VEGF-A, CRP ↑ F | ND | Quin et al. (2024) [145] |
6. Conclusions
7. Future Perspectives
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Del Cornò, M.; Aureli, A.; Varano, B.; Conti, L. Endotoxins and Metabolic Endotoxemia in Obesity and Associated Noncommunicable Diseases: A Focus on Sex Differences. Biomolecules 2026, 16, 226. https://doi.org/10.3390/biom16020226
Del Cornò M, Aureli A, Varano B, Conti L. Endotoxins and Metabolic Endotoxemia in Obesity and Associated Noncommunicable Diseases: A Focus on Sex Differences. Biomolecules. 2026; 16(2):226. https://doi.org/10.3390/biom16020226
Chicago/Turabian StyleDel Cornò, Manuela, Anna Aureli, Barbara Varano, and Lucia Conti. 2026. "Endotoxins and Metabolic Endotoxemia in Obesity and Associated Noncommunicable Diseases: A Focus on Sex Differences" Biomolecules 16, no. 2: 226. https://doi.org/10.3390/biom16020226
APA StyleDel Cornò, M., Aureli, A., Varano, B., & Conti, L. (2026). Endotoxins and Metabolic Endotoxemia in Obesity and Associated Noncommunicable Diseases: A Focus on Sex Differences. Biomolecules, 16(2), 226. https://doi.org/10.3390/biom16020226

