Evidence map›Paper›PMID 40643757›Full record

ArticleEJNMMI research2025

Altered glucose metabolism in default mode network and prefrontal circuit in patients with Kallmann syndrome.

Chunqing Zhou, Xueying Wang, Meichao Men, Xiaoping Yi, Ke Cao, Weidan Pu, Marcus Hacker, Xiang Li, Min Zhao

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In one paragraph

Article in EJNMMI research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Chunqing ZhouDepartment of Nuclear Medicine, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Changsha, Hunan Province, 410013, China.
Xueying WangDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Meichao MenDepartment of Health Management Center, Xiangya Hospital, Central South University, Changsha, 410008, China.
Xiaoping YiDepartment of Radiology, Xiangya Hospital, Central South University, Changsha, 410008, China.
Ke CaoDepartment of Oncology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Weidan PuDepartment of Clinical Psychology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China.
Marcus HackerDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Xiang LiDepartment of Biomedical Imaging and Image-Guided Therapy, Division of Nuclear Medicine, Medical University of Vienna, Vienna, Austria.
Min ZhaoDepartment of Nuclear Medicine, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Changsha, Hunan Province, 410013, China. mzhao1981@csu.edu.cn.ORCID http://orcid.org/0000-0002-1983-2363

Funding

Central South University school-enterprise joint new project NO.2024XQLH112National Natural Science Foundation of China 81901784National Natural Science Foundation of China 82472029
6 · The paper itself

Abstract

backgroundThis study delineates brain metabolic signatures underlying neuroendocrine-psychosocial interactions in Kallmann syndrome (KS), a rare genetic disorder characterized by congenital hypogonadism and anosmia. In this prospective case-control study, 30 KS patients and 30 matched healthy controls (HCs) underwent brain [

resultsWe identified six hypermetabolic clusters in KS patients, predominantly located in the fronto-limbic system and the default mode network (DMN) in KS patients. These clusters of hypermetabolism were significantly associated fertility anxiety scale (FAS), health information avoidance scale (HIAS) and health information overload scale (HIOS). In addition, mediation analysis indicated that bilateral basal ganglia hypermetabolism acted as a significant mediator between HIAS and FAS (β = 0.274, P = 0.031).

conclusionPatients with KS exhibited a distinct hypermetabolism pattern in the DMN-prefrontal circuit, which functionally bridges neuroendocrine dysfunction and reproductive health anxiety.

Indexed as

Fertility anxietyKallmann syndromePositron emission tomographySex hormone

Identifiers

PMID40643757
PMCPMC12254444

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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.