Evidence map›Paper›PMID 34051748›Full record

ArticleBMC infectious diseases2021

A preliminary study on the characteristics of Th1/Th2 immune response in cerebrospinal fluid of AIDS patients with cryptococcal meningitis.

Aixin Li, Wenjiao Zhu, Jiming Yin, Xiaojie Huang, Lijun Sun, Wei Hua, Wen Wang, Tong Zhang, Lili Dai, Hao Wu

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. 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
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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

10 authors at 2 institutions in 1 country.

Aixin LiCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Wenjiao ZhuDepartment of Dermatology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Jiming YinBeijing Institute of Hepatology, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Xiaojie HuangCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Lijun SunCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Wei HuaCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Wen WangCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Tong ZhangCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
Lili DaiCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China. lilydaier@ccmu.edu.cn.
Hao WuCenter for Infectious Diseases, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China. whdoc@ccmu.edu.cn.ORCID http://orcid.org/0000-0002-6390-1952
Capital Medical University · CNQingdao University · CN

Funding

Beijing Talent Project in the New Millennium 2020A35China Primary Health Care Foundation YNKTTS20180107National Natural Science Foundation of China 81701984National Science and Technology Major Project of China 2017ZX10201101
6 · The paper itself

Abstract

backgroundCryptococcal Meningitis (CM) is a common opportunistic infection in the late stage of acquired immunodeficiency syndrome (AIDS). Despite the wide use of effective antiretroviral and antifungal therapy in AIDS patients, CM is still a major morbidity and mortality cause. Understanding the immune response in cryptococcal infection may help to improve the treatment strategies.

methodsWe established a prospective cohort of twelve AIDS patients with CM (HIV + CM+) admitted to the hospital from 2019 to 2020. All patients were examined at the baseline, 2 weeks, and 4 weeks thereafter. The level of 19 cytokines in cerebrospinal fluid (CSF) were recorded to analyze the characteristics and dynamic changes of Th1/Th2 immune response. Meanwhile, six AIDS patients without CM (HIV + CM-) and seventeen healthy subjects (HIV-CM-) were included as control groups for CSF assessment.

resultsThe HIV+ CM+ group had higher CSF IFN-γ, TNF-α, IL-6, IL-7, IL-8, IL-10, IL-12 (P40), IL-15, IL-18, CCL2 levels but lower IL-4 when compared with the HIV-CM- group at baseline. And they also had a higher level of IL-12 (P40) and IL-17A compared with HIV + CM- patients. Except one patient dropped out of the study, eleven HIV + CM+ patients received induction antifungal therapy and regular CSF testing, and the mortality rate was 9.1% (1/11) and 18.2% (2/11) respectively at week 2 and week 4. Compared with baseline CSF cytokines, IL-2, IL-13, IL-17A, and VEGF-A decreased in week 2, and the VEGF-A levels further decreased in week 4. But there was no difference in the levels of all cytokines between survivors and the dead.

conclusionNo evidence of Th1/Th2 imbalance was found in AIDS patients with CM. However, the CSF cytokine network may provide new clues for the treatment of AIDS patients with CM.

trial registrationThis trial was prospectively registered in 2019.7.16. The registered number is ChiCTR1900024565 .

Indexed as

Acquired Immunodeficiency SyndromeAdultComorbidityCryptococcusCytokinesFemaleHumansImmunity, CellularMaleMeningitis, CryptococcalMiddle AgedProspective StudiesTh1-Th2 BalanceVascular Endothelial Growth Factor ACytokinesVascular Endothelial Growth Factor AAcquired immunodeficiency syndromeCerebrospinal fluidCryptococcal meningitisCryptococcusCytokines

Identifiers

PMID34051748
PMCPMC8164222
OpenAlexW3164762256

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.