# Ketosis suppression and ageing (KetoSAge): the effect of suppressing ketosis on SHBG and sex hormone profiles in healthy premenopausal women, and its implications for cancer risk and therapy

**Authors:** Isabella D. Cooper, Lucy Petagine, Adrian Soto-Mota, Tomás Duraj, Thomas N. Seyfried, Derek C. Lee, Naja Cooper, Yvoni Kyriakidou

PMC · DOI: 10.3389/fnut.2025.1731915 · Frontiers in Nutrition · 2026-01-02

## TL;DR

This study shows that suppressing ketosis in healthy premenopausal women lowers SHBG levels, which may affect hormone balance and cancer risk.

## Contribution

The study reveals SHBG as a sensitive biomarker of metabolic-endocrine status under hypoketonaemia, with implications for cancer and reproductive health.

## Key findings

- Suppression of ketosis significantly decreased SHBG levels by 0.67-fold.
- SHBG was inversely associated with insulin, insulin resistance, and other metabolic markers.
- SHBG levels were positively linked to GLP-1, and FSH levels varied with menstrual cycle phase.

## Abstract

Insulin resistance and hyperinsulinaemia significantly influence female hormone regulation and reproductive health. Despite increasing research, the complex pathways by which nutritional and metabolic signals regulate reproductive function remain poorly understood. Sex hormone-binding globulin (SHBG) is a key protein whose function is modulated by hyperinsulinaemia, liver function, and metabolic status, thereby influencing the active signalling of circulating sex steroids and intracellular signalling, which in turn, impacts endocrine and reproductive physiology. Consequently, SHBG serves as a valuable biomarker for understanding the metabolic-hormonal interactions within the endocrine axis. Ketogenic diets have demonstrated efficacy in reversing insulin resistance, resolving markers of liver disease, and improving metabolic health. In this study, we investigated the impact of suppressing ketosis (hypoketonaemia) on biomarkers of female reproductive and endocrine function in the Ketosis Suppression and Ageing cohort.

Ten lean (BMI, 20.52 kg/m2 ± 1.39), healthy, premenopausal women (mean age, 32.30 ± 8.97 years), who maintained nutritional ketosis for an average of 3.9 years (± 2.3), participated in a three-phase intervention trial: 21-days of baseline data-collection in euketonaemia, 21-days of hypoketonaemia, and 21-days return to euketonaemia.

Suppression of ketosis resulted in a significant 0.67-fold decrease in SHBG levels (p = 0.0015). SHBG was significantly and inversely associated with insulin (p = 0.0010), insulin resistance score (HOMA-IR; p = 0.0012), glucose ketone index (GKI; p = 0.0183), leptin (p = 0.0016), insulin-like growth factor-1 (IGF-1; p = 0.0172), free T3 (p = 0.0001), and gamma-glutamyl transferase (GGT; p = 0.0024). A significant positive association between SHBG and GLP-1 (p = 0.0295) was observed. Menstrual cycle phase was a statistically significant predictor of follicle-stimulating hormone (FSH) levels, with higher FSH levels during ovulation than during the follicular phase (p = 0.0097).

SHBG is a sensitive biomarker of metabolic-endocrine status, with broader implications for cancer, and reproductive function. Chronic hypoketonaemia negatively affects SHBG production and hormonal balance. The implications of sex-hormone regulation for cancer prevention and therapy are discussed.

## Linked entities

- **Proteins:** SHBG (sex hormone binding globulin), PIN (insulin precursor), lepa (leptin a), IGF1 (insulin like growth factor 1), GCG (glucagon)
- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Genes:** CCND1 (cyclin D1) [NCBI Gene 595] {aka BCL1, D11S287E, PRAD1, U21B31}, MMP13 (matrix metallopeptidase 13) [NCBI Gene 4322] {aka CLG3, MANDP1, MDST, MMP-13}, SERPINE1 (serpin family E member 1) [NCBI Gene 5054] {aka PAI, PAI-1, PAI1, PLANH1}, CDH11 (cadherin 11) [NCBI Gene 1009] {aka CAD11, CDHOB, ESWS, OB, OSF-4, TBHS2}, GLP1R (glucagon like peptide 1 receptor) [NCBI Gene 2740] {aka GLP-1, GLP-1-R, GLP-1R}, GGTLC4P (gamma-glutamyltransferase light chain 4 pseudogene) [NCBI Gene 729838] {aka GGT}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, MYC (MYC proto-oncogene, bHLH transcription factor) [NCBI Gene 4609] {aka MRTL, MYCC, bHLHe39, c-Myc}, ALB (albumin) [NCBI Gene 213] {aka FDAHT, HSA, PRO0883, PRO0903, PRO1341}, LEP (leptin) [NCBI Gene 3952] {aka LEPD, OB, OBS}, EGF (epidermal growth factor) [NCBI Gene 1950] {aka HOMG4, URG}, SHBG (sex hormone binding globulin) [NCBI Gene 6462] {aka ABP, SBP, TEBG}, BCL2 (BCL2 apoptosis regulator) [NCBI Gene 596] {aka Bcl-2, PPP1R50}, SLC2A1 (solute carrier family 2 member 1) [NCBI Gene 6513] {aka CSE, DYT17, DYT18, DYT9, EIG12, GLUT}, STAT3 (signal transducer and activator of transcription 3) [NCBI Gene 6774] {aka ADMIO, ADMIO1, APRF, HIES}, GCK (glucokinase) [NCBI Gene 2645] {aka FGQTL3, GK, GLK, HHF3, HK4, HKIV}, VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, IDH2 (isocitrate dehydrogenase (NADP(+)) 2) [NCBI Gene 3418] {aka D2HGA2, ICD-M, IDH, IDH-2, IDHM, IDP}, GGT1 (gamma-glutamyltransferase 1) [NCBI Gene 2678] {aka CD224, D22S672, D22S732, GGT, GGT 1, GGTD}, MCL1 (MCL1 apoptosis regulator, BCL2 family member) [NCBI Gene 4170] {aka BCL2L3, EAT, MCL1-ES, MCL1L, MCL1S, Mcl-1}, GCG (glucagon) [NCBI Gene 2641] {aka GLP-1, GLP1, GLP2, GRPP}, JAK2 (Janus kinase 2) [NCBI Gene 3717] {aka JTK10}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, F2 (coagulation factor II, thrombin) [NCBI Gene 2147] {aka PT, RPRGL2, THPH1}, CES2 (carboxylesterase 2) [NCBI Gene 8824] {aka CE-2, CES2A1, PCE-2, iCE}, LEPR (leptin receptor) [NCBI Gene 3953] {aka CD295, LEP-R, LEPRD, OB-R, OBR, huB219}, FGF2 (fibroblast growth factor 2) [NCBI Gene 2247] {aka BFGF, FGF-2, FGFB, HBGF-2}, INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, CYCS (cytochrome c, somatic) [NCBI Gene 54205] {aka CYC, HCS, THC4}, IGF1 (insulin like growth factor 1) [NCBI Gene 3479] {aka IGF, IGF-I, IGFI, MGF}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, BAX (BCL2 associated X, apoptosis regulator) [NCBI Gene 581] {aka BCL2L4}, HNF4A (hepatocyte nuclear factor 4 alpha) [NCBI Gene 3172] {aka FRTS4, HNF4, HNF4a7, HNF4a8, HNF4a9, HNF4alpha}, BAK1 (BCL2 antagonist/killer 1) [NCBI Gene 578] {aka BAK, BAK-LIKE, BCL2L7, CDN1}, MAPK8 (mitogen-activated protein kinase 8) [NCBI Gene 5599] {aka JNK, JNK-46, JNK1, JNK1A2, JNK21B1/2, PRKM8}, HK2 (hexokinase 2) [NCBI Gene 3099] {aka HKII, HXK2}, RETN (resistin) [NCBI Gene 56729] {aka ADSF, FIZZ3, RENT, RETN1, RSTN, XCP1}, FASN (fatty acid synthase) [NCBI Gene 2194] {aka FAS, OA-519, SDR27X1}, MAP2K7 (mitogen-activated protein kinase kinase 7) [NCBI Gene 5609] {aka JNKK2, MAPKK7, MEK, MEK 7, MKK7, PRKMK7}, MAPK1 (mitogen-activated protein kinase 1) [NCBI Gene 5594] {aka ERK, ERK-2, ERK2, ERT1, MAPK2, NS13}, IGF1R (insulin like growth factor 1 receptor) [NCBI Gene 3480] {aka CD221, IGFIR, IGFR, JTK13}, ADIPOQ (adiponectin, C1Q and collagen domain containing) [NCBI Gene 9370] {aka ACDC, ACRP30, ADIPQTL1, ADPN, APM-1, APM1}
- **Diseases:** PCOS (MESH:D011085), Insulin-Compensated Euglycaemia (MESH:D005902), sleep apnoea (MESH:D012891), SCHI (MESH:D058345), Type 2 diabetes mellitus (MESH:D003924), hypoxic (MESH:D002534), tumorigenic (MESH:D002471), hepatic lipid (MESH:D011017), Hypo-ketonaemia (MESH:D052456), astrocytic neoplasm (MESH:D009369), Ketosis (MESH:D007662), ovarian cancer (MESH:D010051), leptin resistance (OMIM:614962), TD (MESH:D004409), brain tumours (MESH:D001932), cardiovascular and neurodegenerative diseases (MESH:D019636), endocrine disorder (MESH:D004700), GBM (MESH:D005909), obese (MESH:D009765), mitochondrial dysfunction (MESH:D028361), MASLD (MESH:D005234), breast cancer (MESH:D001943), ovulatory dysfunction (MESH:D006331), DL (MESH:C537113), Metabolic-dysfunction (MESH:D008659), inflammatory (MESH:D007249), hyperandrogenism (MESH:D017588), endothelial dysfunction (MESH:D014652), breast, endometrial, ovarian, prostate, pancreatic, lung and brain tumours (MESH:D011472), CVD (MESH:D002318), oncogenic (MESH:D000074723), prediabetes (MESH:D011236), breast and endometrial cancer (MESH:C537243), hepatic dysfunction (MESH:D008107), hepatic ketogenesis (MESH:D056486), PIT (OMIM:617450), metabolic dysregulation (MESH:D021081), diseases (MESH:D004194), breast, colon, pancreatic, and endometrial cancers (MESH:C537262), infertility (MESH:D007246), stage 1 diabetes (MESH:D003922), prostate and endometrial cancers (MESH:D011471), MetS (MESH:D024821), non-alcoholic fatty liver disease (MESH:D065626), Chronic hyperinsulinaemia (MESH:D002908), IR (MESH:D007333), metastasis (MESH:D009362), atherosclerosis (MESH:D050197)
- **Chemicals:** ketone (MESH:D007659), T3 (MESH:D014284), iron (MESH:D007501), glucose-6-phosphate (MESH:D019298), lactate (MESH:D019344), fat (MESH:D005223), oestradiol (MESH:D004958), T4 (MESH:D013974), glutamine (MESH:D005973), Free triiodothyronine (-), cortisol (MESH:D006854), pyruvate (MESH:D019289), glucose (MESH:D005947), BHB (MESH:D020155), fatty acid (MESH:D005227), Progesterone (MESH:D011374), ketone bodies (MESH:D007657), NAD+ (MESH:D009243), steroid (MESH:D013256), ATP (MESH:D000255), Cyclic adenosine monophosphate (MESH:D000242), oxygen (MESH:D010100), carbohydrate (MESH:D002241), CoA (MESH:D003065), EDTA (MESH:D004492), Testosterone (MESH:D013739)
- **Species:** Homo sapiens (human, species) [taxon 9606], Mus musculus (house mouse, species) [taxon 10090]

## Full text

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## Figures

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## References

136 references — full list in the complete paper: https://tomesphere.com/paper/PMC12829335/full.md

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Source: https://tomesphere.com/paper/PMC12829335