Evidence map›Paper›PMID 38380496›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Large-Scale Proteome Profiling Identifies Biomarkers Associated with Suspected Neurosyphilis Diagnosis.

Jun Li, Jie Ma, MingJuan Liu, Mansheng Li, Ming Zhang, Wenhao Yin, Mengyin Wu, Xiao Li, Qiyu Zhang, Hanlin Zhang and 11 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Update on syphilis diagnostics.Current opinion in infectious diseases · 2025
    Review
  9. Article
  10. Article
  11. 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

21 authors at 3 institutions in 1 country.

Jun LiDepartment of Dermatology, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.ORCID 0000-0003-4820-5251
Jie MaState Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.ORCID 0000-0002-8934-922X
MingJuan LiuDepartment of Dermatology, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.ORCID 0000-0002-3040-0561
Mansheng LiState Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.ORCID 0000-0002-0778-0965
Ming ZhangDepartment of Dermatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Wenhao YinThe First Hospital of Jiaxing, The Affiliated Hospital of Jiaxing University, Zhejiang, 314001, China.
Mengyin WuDepartment of Dermatology, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.
Xiao LiState Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
Qiyu ZhangDepartment of Dermatology, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.
Hanlin ZhangDepartment of Dermatology, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.ORCID 0000-0001-5065-4086
Heyi ZhengDepartment of Dermatology, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, 100730, China.
Chenhui MaoDepartment of Neurology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing, 100730, China.
Jian SunDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Wenze WangDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Wei LyuDepartment of Infectious Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Xueping YueDepartment of Dermatology and Venereology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Wenjia WengDepartment of Dermatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Juan LiDepartment of Dermatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Fengxin ChenInfections Disease Center, Beijing Ditan Hospital, Capital Medical University, Beijing, 100102, China.
Yunping ZhuState Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.ORCID 0000-0002-7320-7411
Ling LengStem cell and Regenerative Medicine Lab, Department of Medical Science Research Center, Institute of Clinical Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Translational Medicine Center, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, China.ORCID 0000-0002-6519-012X
Chinese Academy of Medical Sciences & Peking Union Medical College · CNCapital Medical University · CNAnhui Medical University · CN

Funding

Beijing Science and Technology Planning Project Z231100007223009Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2020-I2M-C&T-B-048Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2023-I2M-3-002Chinese Academy of Medical Sciences Initiative for Innovative Medicine 2023-I2M-QJ-001National Key Research Program of China 2021YFA1301603National Natural Science Foundation of China 32270697National Natural Science Foundation of China 82341079Peking Union Medical College Hospital 2022-PUMCH-A-022Peking Union Medical College Hospital 2022-PUMCH-B-061Peking Union Medical College Hospital 2022-PUMCH-B-092
6 · The paper itself

Abstract

Neurosyphilis (NS) is a central nervous system (CNS) infection caused by Treponema pallidum (T. pallidum). NS can occur at any stage of syphilis and manifests as a broad spectrum of clinical symptoms. Often referred to as "the great imitator," NS can be easily overlooked or misdiagnosed due to the absence of standard diagnostic tests, potentially leading to severe and irreversible organ dysfunction. In this study, proteomic and machine learning model techniques are used to characterize 223 cerebrospinal fluid (CSF) samples to identify diagnostic markers of NS and provide insights into the underlying mechanisms of the associated inflammatory responses. Three biomarkers (SEMA7A, SERPINA3, and ITIH4) are validated as contributors to NS diagnosis through multicenter verification of an additional 115 CSF samples. We anticipate that the identified biomarkers will become effective tools for assisting in diagnosis of NS. Our insights into NS pathogenesis in brain tissue may inform therapeutic strategies and drug discoveries for NS patients.

Indexed as

BiomarkersNeurosyphilisProteomeProteomicsSerpinsAdultFemaleHumansMachine LearningMaleMiddle AgedTreponema pallidumBiomarkersProteomeSERPINA3 protein, humanSerpinscerebrospinal fluiddiagnostic biomarkermachine learning modelneurosyphilisproteomics

Identifiers

PMID38380496
PMCPMC11040343
OpenAlexW4392017188

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.