Evidence map›Paper›PMID 41043406›Full record

Observational studyRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)2025

Association between B-cell activating factor and future depressive symptoms in hemodialysis patients.

Dong-Young Lee, Woojin Jang, Beom Kim, Jae-Hon Lee, Young Lee, Yu Ho Lee, Shin Young Ahn, Jin Sug Kim, Yang Gyun Kim, Hyeon Seok Hwang and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999), 2025. 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
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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

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5 · Who and what money

Authors and funding

16 authors.

Dong-Young LeeDepartment of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea. Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
Woojin JangDepartment of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea.
Beom KimDepartment of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea.
Jae-Hon LeeDepartment of Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
Young LeeVeterans Medical Research Institute, Veterans Healthcare Service Medical Center, Seoul, Republic of Korea.
Yu Ho LeeDivision of Nephrology, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea.
Shin Young AhnDepartment of Internal Medicine, College of Medicine, Korea University, Seoul, Republic of Korea.
Jin Sug KimDivision of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea.
Yang Gyun KimDivision of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea.
Hyeon Seok HwangDivision of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea.
Ju-Young MoonDivision of Nephrology, Department of Internal Medicine, Kyung Hee University, Seoul, Republic of Korea.
Jae-Hong RyooDepartments of Occupational and Environmental Medicine, School of Medicine, Kyung Hee University, Seoul, Republic of Korea.
Kayla M TeopizMood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, University of Health Network, Toronto, ON, Canada.
Rodrigo B MansurDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada. Mood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, University of Health Network, Toronto, ON, Canada.
Joshua D RosenblatDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada. Mood Disorders Psychopharmacology Unit, Poul Hansen Family Centre for Depression, University of Health Network, Toronto, ON, Canada.
Roger S McIntyreDepartment of Psychiatry, University of Toronto, Toronto, ON, Canada. Department of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveB-cell activating factor (BAFF) and a proliferation-inducing ligand (APRIL) are cytokines that play critical roles in the maturation, homeostasis, and differentiation of B-cells. Both cytokines have also been associated with mental disorders. The link between inflammation and depression is well-established. Patients undergoing hemodialysis who also experience depressive symptoms exhibit a state of immune dysfunction. We hypothesized that BAFF and APRIL levels would influence future depressive symptoms in hemodialysis patients.

methodsWe enrolled 72 hemodialysis patients without baseline depressive symptoms. Depressive symptoms were assessed annually for 2 years using the Beck Depression Inventory-II. The participants were measured for plasma BAFF, APRIL, and tumor necrosis factor-a levels. To evaluate the impact of these levels on the development of depressive symptoms, we performed Cox regression and Kaplan-Meier analysis.

resultsDepressive symptoms were observed in 31 (43.1%) patients. In both univariate and multivariate Cox regression analyses, a 1 SD increase in BAFF was significantly associated with an increased risk of future depressive symptoms, with hazard ratios of 1.44 (95%CI 1.03-2.00) and 1.70 (95%CI 1.04-2.78), respectively. Higher BAFF groups had a significantly greater incidence of depressive symptoms over 2 years (p = 0.048).

conclusionElevated plasma BAFF levels were significantly associated with the development of depressive symptoms in hemodialysis patients.

Indexed as

B-Cell Activating FactorDepressionKidney Failure, ChronicAdultAgedBiomarkersFemaleHumansMaleMiddle AgedProspective StudiesRenal DialysisB-Cell Activating FactorBiomarkersAPRILBAFFcytokinesdepressionhemodialysisTNF-α

Identifiers

PMID41043406
PMCPMC12880556

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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.