PMID- 30985867 OWN - NLM STAT- MEDLINE DCOM- 20200527 LR - 20210109 IS - 1945-7197 (Electronic) IS - 0021-972X (Print) IS - 0021-972X (Linking) VI - 104 IP - 9 DP - 2019 Sep 1 TI - Determining the Relationship Between Hot Flushes and LH Pulses in Menopausal Women Using Mathematical Modeling. PG - 3628-3636 LID - 10.1210/jc.2018-02797 [doi] AB - BACKGROUND: Hypothalamic kisspeptin/neurokinin B/dynorphin (KNDy) neurones regulate LH pulsatility. It is widely accepted that the menopausal hot flush (HF) consistently synchronizes with the LH pulse, implicating the hypothalamic KNDy neurones in generating LH pulsatility and HF. Using a modern immunoassay and mathematical modeling, we investigated if the HF and LH pulse were consistently synchronized in menopausal women. METHODS: Eleven menopausal women (51 to 62 years of age and experiencing >/=7 HF in 24 hours) participated in an 8-hour study. Subjects self-reported HF and underwent peripheral blood sampling every 10 minutes. LH pulsatility was determined using two mathematical models: blinded deconvolution analysis and Bayesian spectrum analysis. The probability that the LH pulse and HF event intervals matched was estimated using the interval distributions observed in our data. RESULTS: Ninety-six HFs were self-reported, and 82 LH pulses were identified by blinded deconvolution analysis. Using both models, the probability that the two event intervals matched was low in the majority of participants (mean P = 0.24; P = 1 reflects perfect association). INTERPRETATION: Our data challenge the widely accepted dogma that HFs consistently synchronize with an LH pulse and therefore have clinically important therapeutic and mechanistic implications. CI - Copyright (c) 2019 Endocrine Society. FAU - Prague, Julia K AU - Prague JK AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. FAU - Voliotis, Margaritis AU - Voliotis M AD - College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, United Kingdom. AD - EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United Kingdom. FAU - Clarke, Sophie AU - Clarke S AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. FAU - Comninos, Alexander N AU - Comninos AN AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. AD - Department of Endocrinology, Imperial College Healthcare NHS Trust, London, United Kingdom. FAU - Abbara, Ali AU - Abbara A AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. FAU - Jayasena, Channa N AU - Jayasena CN AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. FAU - Roberts, Rachel E AU - Roberts RE AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. FAU - Yang, Lisa AU - Yang L AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. FAU - Veldhuis, Johannes D AU - Veldhuis JD AD - Mayo Clinic, Rochester, Minnesota. FAU - Tsaneva-Atanasova, Krasimira AU - Tsaneva-Atanasova K AD - College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter, United Kingdom. AD - EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter, Exeter, United Kingdom. AD - Living Systems Institute, University of Exeter, Exeter, United Kingdom. FAU - McArdle, Craig A AU - McArdle CA AD - Bristol Medical School, University of Bristol, Bristol, United Kingdom. FAU - Dhillo, Waljit S AU - Dhillo WS AD - Section of Endocrinology & Investigative Medicine, Imperial College, London, United Kingdom. LA - eng GR - MR/M024954/1/MRC_/Medical Research Council/United Kingdom GR - MR/R000484/1/MRC_/Medical Research Council/United Kingdom GR - RP-2014-05-001/DH_/Department of Health/United Kingdom GR - CDF-2009-02-05/DH_/Department of Health/United Kingdom GR - CS-2018-18-ST2-002/DH_/Department of Health/United Kingdom GR - PDF-2017-10-098/DH_/Department of Health/United Kingdom PT - Journal Article PT - Research Support, Non-U.S. Gov't PL - United States TA - J Clin Endocrinol Metab JT - The Journal of clinical endocrinology and metabolism JID - 0375362 RN - 9002-67-9 (Luteinizing Hormone) SB - IM MH - Female MH - Follow-Up Studies MH - Hot Flashes/blood/*physiopathology MH - Humans MH - Luteinizing Hormone/*blood MH - Menopause/blood/*physiology MH - Middle Aged MH - *Models, Theoretical MH - Prognosis MH - *Pulsatile Flow PMC - PMC6637789 EDAT- 2019/04/16 06:00 MHDA- 2020/05/28 06:00 PMCR- 2019/04/15 CRDT- 2019/04/16 06:00 PHST- 2018/12/27 00:00 [received] PHST- 2019/04/09 00:00 [accepted] PHST- 2019/04/16 06:00 [pubmed] PHST- 2020/05/28 06:00 [medline] PHST- 2019/04/16 06:00 [entrez] PHST- 2019/04/15 00:00 [pmc-release] AID - 5450539 [pii] AID - 201802797 [pii] AID - 10.1210/jc.2018-02797 [doi] PST - ppublish SO - J Clin Endocrinol Metab. 2019 Sep 1;104(9):3628-3636. doi: 10.1210/jc.2018-02797.