Evidence map›Paper›PMID 40692977›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2025

Advances in Mendelian Randomization Studies of Obesity Over the Past Decade: Uncovering Key Genetic Mechanisms.

Xinyue Lu, Lianhong Ji, Dong Chen, Xiaoyang Lian, Mengqian Yuan

Abstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 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. Review
  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

5 authors.

Xinyue LuAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.ORCID 0009-0008-0841-2073
Lianhong JiAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Dong ChenJiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Xiaoyang LianJiangsu Province Hospital of Chinese Medicine, Nanjing, 210029, People's Republic of China.
Mengqian YuanAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a major global public health issue linked to a wide range of chronic diseases. Understanding its complex causal pathways requires robust analytical methods. Mendelian randomization (MR), which employs genetic variants as instrumental variables, effectively addresses confounding and reverse causation and has become a key tool in obesity research. This review summarizes the development of MR methodologies, from single-sample to multivariable, mediation, and time-series models, and highlights key findings from the past decade. MR studies have revealed causal associations between obesity and nine major disease categories, including cardiovascular, metabolic, cancer, psychiatric, respiratory, renal, reproductive, musculoskeletal, and dermatological disorders. Obesity influences disease risk through mechanisms involving energy metabolism, hormonal regulation, and inflammation, with heterogeneity by age, sex, and fat distribution. Key genes such as

Indexed as

genetic variationMendelian randomizationobesityresearch progress

Identifiers

PMID40692977
PMCPMC12278973

What Socratic holds

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LicenceCC BY-NC
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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.