Evidence map›Paper›PMID 40494085›Full record

ReviewCurrent opinion in neurobiology2025

Targeted cravings: Unraveling the drivers of nutrient-specific appetite.

Clare E Hancock, Binod Aryal, Tianji Ma, Guangyan Wu, Qili Liu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current opinion in neurobiology, 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

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

1 citing paper in PubMed.

  1. 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

5 authors.

Clare E HancockDepartment of Anatomy, University of California, San Francisco, San Francisco, CA 94158, USA.
Binod AryalDepartment of Anatomy, University of California, San Francisco, San Francisco, CA 94158, USA.
Tianji MaDepartment of Anatomy, University of California, San Francisco, San Francisco, CA 94158, USA.
Guangyan WuDepartment of Anatomy, University of California, San Francisco, San Francisco, CA 94158, USA.
Qili LiuDepartment of Anatomy, University of California, San Francisco, San Francisco, CA 94158, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: Qili.Liu@ucsf.edu.

Funding

Genetic dissection of motivational drive to eatR35GM138060 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Qili Liu · 2020 to 2026
$3.3M
Mechanism and Modulation of the homeostatic setpoint for protein feedingR01NS123890 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, QILI · 2021 to 2025
$2.3M
NIGMS NIH HHS R35 GM138060NINDS NIH HHS R01 NS123890
6 · The paper itself

Abstract

Feeding behaviors are driven not just by caloric needs but also by nutrient-specific appetites, which guide animals to seek out foods that correct specific nutritional deficiencies and fulfill diverse nutrient requirements. Despite the longstanding behavioral manifestations of nutrient-specific appetites for various nutrients, progress in understanding the underlying mechanisms has been slow. In this review, we summarize the challenges and recent advances in the study of nutrient-specific appetites for macronutrients and micronutrients, focusing on sodium- and protein-specific hunger. We examine central mechanisms that integrate peripheral, interceptive, and internal state signals to drive nutrient-specific preference and ingestion. We also explore conserved features and interactions across different nutrient-specific appetites, and discuss their implications for future research.

Indexed as

AppetiteCravingFeeding BehaviorHungerNutrientsAnimalsHumansNutrients

Identifiers

PMID40494085
PMCPMC13192396

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.