Antioxidant dipeptide Threonyltyrosine from Porphyridium cruentum: in silico prediction and in vitro protection against paraquat-induced HaCaT cell damage.

Keyu Jiang, Sibo Huang, Liuying Li, Jindong Liu, Xi Gao, Huanwen Tang, Lei Sun, Enqin Xia

Abstract read

In one paragraph

Article in BMC chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Keyu Jiang *School of Public Health, Shunde Women and Child's Hospital, Guangdong Medical University, Dongguan, 528808, China.

Sibo Huang *Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, 510632, China.

Liuying Li *School of Public Health, Shunde Women and Child's Hospital, Guangdong Medical University, Dongguan, 528808, China.

Jindong LiuSchool of Public Health, Shunde Women and Child's Hospital, Guangdong Medical University, Dongguan, 528808, China.

Xi GaoSchool of Public Health, Shunde Women and Child's Hospital, Guangdong Medical University, Dongguan, 528808, China.

Huanwen TangSchool of Public Health, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 528808, China. thw@gdmu.edu.cn.

Lei SunThe First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan, 528808, China.

Enqin XiaSchool of Public Health, Shunde Women and Child's Hospital, Guangdong Medical University, Dongguan, 528808, China. xiaenqin@gdmu.edu.cn.

Funding

Medical Fund Project of Guangdong Province B2025454National Natural Science Foundation of China grant 82273709Special Fund for Key Areas of Universities in Guangdong Province 2024ZDZX2071

6 · The paper itself

Abstract

Marine microalgae rich in high-quality proteins are highly favored in the development of bioactive peptides. However, the scarcity of effective preparation methods still limits its application in healthy improvement. This study aimed to search for the effective natural antioxidative peptides from the microalga Porphyridium cruentum (P. cruentum) for protection skin cells against chronic oxidative stress by UPLC-Q-Exactive MS identification coupled to in silico prospection. An antioxidative dipeptide threonyltyrosine (TY) was identified among 425 peptides. The in vitro antioxidant capacity of TY was slightly higher than that of vitamin C in ABTS•

Indexed as

Antioxidative activityIn silico predictionIn vitro validationParaquat-damaged HaCaTThreonyltyrosine

Identifiers

PMID41814422

DOI10.1186/s13065-026-01754-9

PMCPMC13248403

What Socratic holds

Textmetadata

LicenceCC BY-NC-ND

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.