Evidence map›Paper›PMID 40771276›Full record

ArticleFrontiers in endocrinology2025

Serum tyrosine increases all-cause mortality in an older population.

Yuhong Dai, Yong Zhang, Yue Zhang, Haoran Zheng, Ling Xiang, Liang Cheng, Xiaoqing Wang, Jie Zhang, Hairong Hao, De Huai and 1 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

11 authors.

Yuhong Dai *Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Yong Zhang *Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Yue Zhang *Department of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Haoran ZhengDepartment of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Ling XiangDepartment of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Liang ChengDepartment of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Xiaoqing WangDepartment of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Jie ZhangDepartment of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Hairong HaoDepartment of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
De HuaiDepartment of Head and Neck Surgery, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.
Wen HuDepartment of Endocrinology and Metabolism, Huai'an Hospital Affiliated to Xuzhou Medical College, Huai'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Amino acids play crucial roles in metabolic and cardiovascular diseases, especially branched-chain and aromatic amino acids, but their association with mortality remains understudied and inconclusive. This study explored the potential correlation between serum amino acids levels (including leucine(Leu), isoleucine(Ile), valine(Val), phenylalanine(Phe), and tyrosine (Tyr) and all-cause or cardiovascular deaths in an older population. Methods: This study involved 1,238 older people selected from the Huai'an Diabetes Prevention Program aged ≥ 60 years. Baseline serum levels of five amino acids (Leu, Ile, Val, Phe and Tyr) were measured. Participants were followed for 9 years. Cox regression analysis and Fine-Gray subdistribution hazard analysis were employed to assess the association between amino acids with all-cause or cardiovascular mortality. The prognostic value of amino acids was further assessed using the C index and Net Reclassification Improvement (NRI). Results: 1 During the 9-year follow-up, 69 deaths occurred, including 32 from cardiovascular causes. Preliminary univariable analyses showed that only serum Tyr levels were associated with the risk of all-cause mortality among the five amino acids (per 1-μg/mL increase in Tyr, HR = 1.08, 95% CI = 1.01-1.17). 2 After adjustment for potential confounders, the HR and 95% CI of all-cause mortality for serum Tyr levels from the lowest to the highest quartile was 1.00 (reference), 1.31 (0.59-2.92), 2.17 (1.23-4.60), and 2.18 (1.01-4.71), respectively. 3 Compared with the traditional risk predictive model (C index = 0.773), adding serum Tyr levels increased the C index (C index = 0.787) and NRI (NRI = 0.267) for predicting all-cause mortality. Conclusions: Elevated serum tyrosine levels are independently associated with an increased risk of all-cause mortality, and may serve as a valuable biomarker for mortality risk prediction in Chinese older adults.

Indexed as

Cardiovascular DiseasesMortalityTyrosineAgedAged, 80 and overBiomarkersCause of DeathChinaFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRisk FactorsBiomarkersTyrosineall-cause mortalityamino acidsChinaolder populationtyrosine

Identifiers

PMID40771276
PMCPMC12325040

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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.