Evidence map›Paper›PMID 39960327›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Fam172a Mediates the Stimulation of Hypothalamic Oxytocin Neurons to Suppress Obesity-Induced Anxiety.

Baocheng Wan, Lina Zhang, Xinyu Wang, Rong Zhang, Lianxi Li, Yi Zhang, Zhuo Chen, Cheng Hu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors.

Baocheng WanJinzhou Medical University Graduate Training Base, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Lina ZhangSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Xinyu WangSchool of Life Science and Technology, ShanghaiTech University, Shanghai, 201210, China.
Rong ZhangShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Lianxi LiShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Yi ZhangShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Zhuo ChenShanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.
Cheng HuJinzhou Medical University Graduate Training Base, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, China.ORCID https://orcid.org/0000-0003-4314-2386

Funding

National Science Foundation of China 82100908National Science Foundation of China 82200944National Science Foundation of China 82270894National Science Foundation of China 82325010National Science Foundation of China 82470818Postdoctoral Research Foundation of China 2022M712107Scientific Research and Innovation Plan of Shanghai Municipal Commission of Education 2023ZKZD17Shanghai Key Discipline of Public Health Grants Award GWVI-11.1-20Shanghai Post-doctoral Excellence Program 2022409Shanghai Research Center for Endocrine and Metabolic Diseases 2022ZZ01002Shanghai Sixth People's Hospital Foundation ynms202106Shanghai Sixth People's Hospital Foundation ynms202404Shanghai Sixth People's Hospital Foundation ynqn202206
6 · The paper itself

Abstract

Anxiety disorder is the most common mental disorder worldwide. Although human studies have demonstrated a positive association between obesity and anxiety disorder, the exact mechanism linking these conditions is unclear. Interestingly, oxytocin (Oxt) neurons, predominantly expressed in the hypothalamic paraventricular nucleus (PVN), play a crucial role in both obesity and anxiety. In this study, obesity can induce anxiety-like behavior in mice, which can be ameliorated by the activation of PVN Oxt neurons. Conversely, inhibiting PVN Oxt neurons accelerate the progression of anxiety. Moreover, the family with sequence similarity 172, member A (Fam172a), an anxiety susceptibility gene, is highly expressed in the hypothalamic PVN Oxt neuron but reduce in the PVN Oxt neuron of mice in the high-fat diet and acute restraint stress conditions. Significantly, overexpression of Fam172a in PVN Oxt neurons improve obesity-anxiety-like behavior in mice. In contrast, disruption of Fam172a in PVN Oxt neurons exacerbate obesity-anxiety-like behavior. Furthermore, this study demonstrates that Fam172a is involved in mRNA degradation in Oxt neurons by regulating the intranuclear transport of Argonaute 2, thereby influencing Oxt secretion and ultimately impacting obesity-anxiety-like behavior. These findings suggest that Fam172a serves as a key target of PVN Oxt neurons in the regulation of obesity-induced anxiety.

Indexed as

AnxietyHypothalamusNeuronsObesityOxytocinAnimalsDiet, High-FatDisease Models, AnimalMaleMiceMice, Inbred C57BLParaventricular Hypothalamic NucleusOxytocinago2anxietyfam172aobesityoxytocin neurons

Identifiers

PMID39960327
PMCPMC11984834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.