Back

In children with transfusion-dependent thalassemia, inflammation and neuronal damage biomarkers are associated with affective and chronic fatigue symptoms.

Ridhaa, M.; Al-Hakeim, H.; Kahlol, M.; Al-Naqeeb, T.; Maes, M.

2023-11-22 psychiatry and clinical psychology
10.1101/2023.11.21.23298798 medRxiv
Show abstract

BackgroundPatients with transfusion-dependent thalassemia (TDT) are vulnerable to neurotoxicity due to frequent blood transfusions and the subsequent iron overload (IO) and inflammation. As a result, affective (depression and anxiety) and chronic fatigue syndrome (CFS) symptoms may develop. AimsTo investigate the potential association between TDT and neuronal injury, as assessed with serum concentrations of neuronal damage biomarkers, including neurofilament light (NFL), glial fibrillary acidic protein (GFAP), neuron-specific enolase (NSE), and nestin. MethodsWe investigated the associations between those CNS injury biomarkers, neuro-immune markers (C-reactive protein (CRP), interleukin (IL)-6, and IL-10), calcium, magnesium, copper and zinc, and the Fibro-Fatigue (FF), the Childrens Depression Inventory (CDI), and the Spence Childrens Anxiety Scale (SCAS) scores in 126 children with TDT and 41 healthy children. ResultsTDT children show significant increases in IO, FF, CDI, and SCAS scores, serum NSE, GFAP, NF-L, CRP, copper, IL-6, and IL-10, and lowered magnesium, zinc, and calcium as compared with healthy children. There were significant correlations between the CDI score and NFL, NSE and GFAP; SCAS score and NFL, and FF score and NFL and GFAP. The neuronal damage biomarkers (except nestin) were significantly associated with inflammatory, erythron (hematocrit and hemoglobin) and IO (iron and ferritin) biomarkers. ConclusionsTDT is characterized by intertwined increases in neuronal injury biomarkers and neuropsychiatric symptoms suggesting that TDT-associated neurotoxicity plays a role in affective symptoms and CFS due to TDT. Inflammation and neurotoxicity are novel drug targets for the prevention of affective symptoms and CFS due to TDT.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 10%
17.9%
2
Frontiers in Psychiatry
83 papers in training set
Top 0.1%
14.7%
3
Acta Neuropsychiatrica
12 papers in training set
Top 0.1%
10.3%
4
Journal of Advanced Research
15 papers in training set
Top 0.1%
7.0%
5
Journal of Affective Disorders
81 papers in training set
Top 0.6%
3.1%
50% of probability mass above
6
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.5%
2.1%
7
Frontiers in Medicine
113 papers in training set
Top 2%
2.1%
8
BMC Infectious Diseases
118 papers in training set
Top 2%
2.1%
9
Frontiers in Neurology
91 papers in training set
Top 3%
1.8%
10
Journal of Personalized Medicine
28 papers in training set
Top 0.3%
1.7%
11
Cells
232 papers in training set
Top 2%
1.7%
12
Scientific Reports
3102 papers in training set
Top 56%
1.7%
13
Journal of Psychiatric Research
28 papers in training set
Top 0.5%
1.3%
14
BMC Medicine
163 papers in training set
Top 5%
1.0%
15
European Journal of Epidemiology
40 papers in training set
Top 0.6%
0.9%
16
Virologica Sinica
10 papers in training set
Top 0.3%
0.9%
17
Viruses
318 papers in training set
Top 4%
0.9%
18
Journal of Family Medicine and Primary Care
10 papers in training set
Top 0.5%
0.9%
19
Journal of Molecular Cell Biology
21 papers in training set
Top 0.5%
0.9%
20
Journal of Neurology
26 papers in training set
Top 1%
0.9%
21
Human Molecular Genetics
130 papers in training set
Top 3%
0.9%
22
Brain and Behavior
37 papers in training set
Top 1%
0.8%
23
Nature Communications
4913 papers in training set
Top 61%
0.8%
24
Journal of Clinical Medicine
91 papers in training set
Top 6%
0.8%
25
Frontiers in Public Health
140 papers in training set
Top 8%
0.8%
26
Psychiatry Research
35 papers in training set
Top 2%
0.7%
27
Health Science Reports
12 papers in training set
Top 0.5%
0.7%
28
Acta Psychiatrica Scandinavica
10 papers in training set
Top 0.5%
0.7%
29
Bioengineering
24 papers in training set
Top 2%
0.5%
30
PeerJ
261 papers in training set
Top 19%
0.5%