Evidence map›Paper›PMID 40165055›Full record

ArticleBMC microbiology2025

Intermittent fasting driven different adaptive strategies in Eothenomys miletus (Red-backed vole) at different altitudes: based on the patterns of variations in intestinal microbiota.

Ting Jia, Wei Zhang, Wanlong Zhu, Lixian Fan

Abstract read
In one paragraph

Article in BMC microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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

4 authors.

Ting Jia *Key Laboratory of Ecological Adaptive Evolution and Conservation on Animals-Plants in Southwest, Mountain Ecosystem of Yunnan Province Higher Institutes College, Yunnan Normal University, Kunming, 650500, China.
Wei Zhang *Key Laboratory of Ecological Adaptive Evolution and Conservation on Animals-Plants in Southwest, Mountain Ecosystem of Yunnan Province Higher Institutes College, Yunnan Normal University, Kunming, 650500, China.
Wanlong ZhuKey Laboratory of Ecological Adaptive Evolution and Conservation on Animals-Plants in Southwest, Mountain Ecosystem of Yunnan Province Higher Institutes College, Yunnan Normal University, Kunming, 650500, China. zwl_8307@163.com.
Lixian FanKey Laboratory of Ecological Adaptive Evolution and Conservation on Animals-Plants in Southwest, Mountain Ecosystem of Yunnan Province Higher Institutes College, Yunnan Normal University, Kunming, 650500, China. 2093@ynnu.edu.cn.

Funding

National Natural Scientific Foundation of China 32060115National Natural Scientific Foundation of China 32160254Yunnan Fundamental Research Projects 202401AS070039
6 · The paper itself

Abstract

In the face of global warming, the Eothenomys miletus (Red - backed vole), a species dwelling in highland mountainous regions, is likely to encounter difficulties. Given its restricted mobility, it may struggle with the uncertainty of food resources. In such circumstances, it becomes increasingly crucial for this species to adjust its diverse responses to fulfill its energy requirements. E. miletus specimens were gathered from different altitudes for intermittent fasting (IF) experiments. In these experiments, the specimens underwent random fasting for 3 days within a seven - day cycle. 16 S rDNA sequencing technology, combined with physiological and biochemical assessment methods, was employed to analyze the impacts of IF on gut microorganisms, physiological and biochemical indicators, and the interactions among them. By exploring the adaptive responses of E. miletus to uncertain food resources, which provides novel perspectives on the adaptive strategies of small rodents in the wild during food-scarce periods. The results showed that IF significantly reduced the body mass of E. miletus. Significant correlations were found between various gut microbes and physiological indicators. Under IF conditions, E. miletus at high altitudes experienced a smaller reduction in body mass compared to those at low altitudes. Moreover, the diversity of gut microbes and endemic bacteria in E. miletus at high altitudes varied more than that of low altitudes. The differential response in body mass reduction between high-altitude and low-altitude E. miletus under IF conditions indicated that altitude is an important factor influencing the physiological adaptation of this species to dietary changes. High-altitude E. miletus showed a relatively smaller decrease in body mass, potentially reflecting their better adaptation to environmental stressors over time. Additionally, the greater variation in gut microbe diversity and endemic bacteria in high-altitude E. miletus implied that altitude may shape the gut microbiota, which in turn could be related to their unique physiological adaptations at high altitudes. Overall, E. miletus at high altitude may possess more stable regulatory mechanisms, demonstrating better adaptation under IF conditions. These findings provide valuable insights into the complex interplay between diet, altitude, and gut microbiota in the context of E. miletus physiology, highlighting the importance of considering both environmental and microbial factors in understanding the species' responses to nutritional challenges.​.

Indexed as

Adaptation, PhysiologicalAltitudeArvicolinaeBacteriaFastingGastrointestinal MicrobiomeAnimalsFecesIntermittent FastingMaleRNA, Ribosomal, 16SRNA, Ribosomal, 16SAdaptationAltitudinal differencesEothenomys miletusHost-gut microbiota symbiosisIntermittent fasting

Identifiers

PMID40165055
PMCPMC11956184

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.