Ferritin in dialysis-related arthropathy: could it be a possible biochemical indicator of articular chronic pain?

Paparella, Paolo; Barbieri, Massimo; Miscia, Maria C.; Rovati, C; Bellini, Martina

doi:10.5603/ait.2013.0040

Cited by 4 publications

(2 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the present study, the serum ferritin level was elevated. Similar results were reported in another study in which ferritin value was higher in patients with chronic pain due to arthropathy associated with dialysis [21].…”

Section: Research Articlesupporting

confidence: 91%

Rheumatic and musculoskeletal manifestations in renal hemodialysis patients

Haroon¹,

Sayed²,

Alghitany³

et al. 2018

nt. J. Clin. Rheumatol

View full text Add to dashboard Cite

To determine the frequency of Rheumatic and Musculoskeletal Diseases (RMDs) in patients with renal failure on regular hemodialysis. Methods and findings: The present study included forty-nine patients (28 males and 21 females) with renal failure on regular hemodialysis. Full history taking and clinical examination were documented for all patients. Blood samples were collected for laboratory investigations before the midweek session. Dual Energy X-ray Absorptiometry (DXA) was performed to all patients to assess bone mineral density (BMD). Kt/V was used as a marker of dialysis adequacy. Mean age for all patients was 54.41 ± 15.9 years, and the dialysis duration was 3 ± 2.3 years. The detected RMDs included (in order of descending frequency): fibromyalgia syndrome (51%), myalgias (37%), arthralgia (37%), flexor tenosynovitis (29%), cramps (29%), ectopic calcifications (25%), flexion deformity of the elbow (16%), carpal tunnel syndrome (14%), destructive spondyloarthritis (8%) and Vasculitis (4.1%). Positive anti-CCP was detected in 1 female and rheumatoid factor in 4 females and 1 male. The BMD was reduced with the DXA t-score at lumbosacral spine, hip and forearm-1.5 ± 1.8,-1.7 ± 1.6,-1.9 ± 1.9 respectively. Overall, there was a tendency to a higher frequency of musculoskeletal findings in males. Other co-morbidities included: diabetes mellitus (45%), hypertension (96%), cardiovascular (33%), cerebrovascular stroke (6%), hyperuricemia (37%), hepatitis C (16%) and amyloidosis (8%). Conclusion: Rheumatic and musculoskeletal diseases are frequent and overlooked among hemodialysis patients especially males and usually associated with chronic pain.

show abstract

Section: Research Articlesupporting

confidence: 91%

Rheumatic and musculoskeletal manifestations in renal hemodialysis patients

Haroon¹,

Sayed²,

Alghitany³

et al. 2018

nt. J. Clin. Rheumatol

View full text Add to dashboard Cite

show abstract

“…Furthermore, aberrant iron accumulation causes nerve injury in rats by up-regulating CXCL10/CXCR3 signaling in the spinal dorsal horn, resulting in mechanical allodynia and thermal hyperalgesia ( 40 ). Higher ferritin levels have been linked to increased pain intensity ( 41 ). A recent single-nucleus characterization analysis revealed the effect of the Fth1 gene (encoding ferritin) on mechanical pain ( 42 ).…”

Section: Discussionmentioning

confidence: 99%

Causal associations of iron status and back pain risk: A Mendelian randomization study

Tang

et al. 2022

Front. Nutr.

View full text Add to dashboard Cite

BackgroundObservational studies have previously suggested a link between iron status makers and back pain. We conducted a two-sample Mendelian randomization (MR) study to determine the putative causal relationship between systemic iron status and back pain.Materials and methodsIn this MR study, a genome-wide association study (GWAS) involving 48,972 individuals was used to identify genetic instruments highly associated with systemic iron status. The outcome data (back pain) were derived from the Neale Lab consortium’s summary data from the UK Biobank (85,221 cases and 336,650 controls). With the inverse variance weighted (IVW) method as the main analysis, conservative analyses (selecting SNPs with concordant change of iron status biomarkers) and liberal analyses (selecting SNPs with genome-wide significant association with each iron status biomarker) were carried out. For sensitivity analyses, the MR-Egger, MR-Egger intercept, weighted median, weighted mode, and MR based on a Bayesian model averaging approaches were used. The Cochran’s Q-test was used to detect heterogeneity.ResultsBack pain was associated with genetically instrumented serum iron (OR = 1.01; 95% CI = 1.00–1.02, p = 0.01), ferritin (OR = 1.02; 95% CI = 1.00–1.04, p = 0.02), and transferrin saturation (OR = 1.01; 95% CI = 1.00–1.01, p = 0.01). Furthermore, there was no evidence of a link between transferrin and the risk of back pain (OR = 0.99, 95% CI = 0.98–1.00, p = 0.08). The sensitivity analyses and Cochran’s Q-test indicated that no pleiotropy or heterogeneity was detected (all p > 0.05).ConclusionWe provided potential genetic evidences for the causal associations of iron status with increased incidence of back pain. However, the evidences were weakened due to the low power. Further larger MR studies or RCTs are needed to investigate small effects.

show abstract