Evidence map›Paper›PMID 39562466›Full record

ReviewReproductive sciences (Thousand Oaks, Calif.)2025

Unveiling the Neurotransmitter Symphony: Dynamic Shifts in Neurotransmitter Levels during Menstruation.

Mayur B Kale, Nitu L Wankhede, Barkha K Goyanka, Reena Gupta, Ashok Kumar Bishoyi, Deepak Nathiya, Parjinder Kaur, Kumari Shanno, Brijesh G Taksande, Mohammad Khalid and 6 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Reproductive sciences (Thousand Oaks, Calif.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Review
  3. SheVari4Food & nutrition research · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Mayur B KaleSmt. Kishoritai Bhoyar College of Pharmacy, Kamptee, Nagpur, Maharashtra, 441002, India.
Nitu L WankhedeSmt. Kishoritai Bhoyar College of Pharmacy, Kamptee, Nagpur, Maharashtra, 441002, India.
Barkha K GoyankaSmt. Kishoritai Bhoyar College of Pharmacy, Kamptee, Nagpur, Maharashtra, 441002, India.
Reena GuptaInstitute of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh, India.
Ashok Kumar BishoyiMarwadi University Research Centre, Department of Microbiology, Faculty of Science, Marwadi University, Rajkot, Gujarat, 360003, India.
Deepak NathiyaDepartment of Pharmacy Practice, Institute of Pharmacy, NIMS University, Jaipur, India.
Parjinder KaurChandigarh Pharmacy College, Chandigarh Group of Colleges-Jhanjheri, Mohali, 140307, Punjab, India.
Kumari ShannoDepartment of Pharmacy, Banasthali Vidyapeeth, Tonk, Rajasthan, India.
Brijesh G TaksandeSmt. Kishoritai Bhoyar College of Pharmacy, Kamptee, Nagpur, Maharashtra, 441002, India.
Mohammad KhalidDepartment of Pharmacognosy, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia.
Aman B UpaganlawarSNJB's Shriman Sureshdada Jain College of Pharmacy, Neminagar, Chandwad, Nashik, Maharashtra, India.
Milind J UmekarSmt. Kishoritai Bhoyar College of Pharmacy, Kamptee, Nagpur, Maharashtra, 441002, India.
Monica GulatiSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, 1444411, India.
Monika SachdevaFatima College of Health Sciences, Al Ain, United Arab Emirates.
Tapan BehlAmity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab, India. tapanbehl31@gmail.com.ORCID 0000-0003-0993-7708
Amin GasmiSociete Francophone de Nutritherapie et de Nutrigenetique Appliquee, Villeurbanne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The menstrual cycle is an intricate biological process governed by hormonal changes that affect different facets of a woman's reproductive system. This review provides an overview of neurotransmitter alterations during different menstrual cycle phases and their effects on physiology and psychology. During the follicular phase, rising estrogen levels increase serotonin synthesis, enhancing mood, cognition, and pain tolerance. Estrogen may also influence dopamine levels, promoting motivation and reward sensitivity. GABA, involved in anxiety regulation, may be modulated by estrogen, inducing relaxation. Ovulation involves fluctuating dopamine and serotonin levels, potentially affecting motivation and positive mood. In the luteal phase, rising estrogen and progesterone may reduce serotonin availability, contributing to mood dysregulation, while enhanced GABAergic neurotransmission promotes sedation. Menstruation is characterized by declining estrogen and progesterone, potentially leading to mood disturbances, fluctuating GABAergic and dopaminergic neurotransmitter systems, relaxation, fatigue, motivation, and pleasure variations. Understanding neurotransmitter alterations during the menstrual cycle unveils the neurobiological mechanisms behind menstrual-related symptoms and disorders, facilitating targeted interventions. Pharmacological approaches targeting neurotransmitter systems, nutritional interventions, and lifestyle modifications show promise in managing menstrual symptoms. Future research should focus on further understanding neurotransmitter dynamics, personalized medicine, unexplored neurotransmitter roles, and integrating psychosocial factors. This knowledge will enhance well-being and quality of life for individuals experiencing menstrual-related challenges.

Indexed as

Menstrual CycleMenstruationNeurotransmitter AgentsDopamineFemaleHumansDopamineNeurotransmitter AgentsDopamineEstrogenGABAMenstrual cycleProgesteroneSerotonine

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.