Evidence map›Paper›PMID 41230552›Full record

ArticleBio-protocol2025

A Quantitative Spectrophotometric Assay Matched With Environmental Scanning Electron Microscopy to Measure Calcium Crystals in Human Osteoarthritic Synovial Fluid.

Michela Battistelli, Laura Valentini, Eleonora Olivotto

Abstract read
In one paragraph

Article in Bio-protocol, 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
–field-weighted citation impact
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

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

3 authors.

Michela BattistelliDepartment of Biomolecular Science, Urbino University "Carlo Bo", Urbino, PU, Italy.
Laura ValentiniDepartment of Biomolecular Science, Urbino University "Carlo Bo", Urbino, PU, Italy.
Eleonora OlivottoRAMSES Laboratory, RIT Department, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the field of osteoarthritis (OA), the identification of reliable diagnostic and prognostic biomarkers in patients with hip lesions such as femoroacetabular impingement (FAI) could have an immeasurable value. Calcium crystal detection in synovial fluids (SFs) is one tool currently available to diagnose patients with rheumatologic disorders. Crystals, such as monosodium urate (MSU) and calcium pyrophosphate (CPP), are identified qualitatively by compensated polarized light, whereas basic calcium phosphate (BCP) crystals are visualized under conventional light microscopy by Alizarin red S (ARS) staining. Here, we present an efficient and straightforward protocol to quantify calcium crystals by spectrophotometric analysis in human osteoarthritic SFs after staining with ARS. The type and size of the different crystal species are confirmed by environmental scanning electron microscopy (ESEM). Key features • This protocol provides a quantitative assay to measure calcium crystals in human synovial fluids. • ARS is specific for hydroxyapatite, calcium phosphate, tetrasodium pyrophosphate, sodium phosphate, calcium chloride/pyrophosphate dihydrate, and oxalate crystals; does not show any combination with SFs components. • The standard curve for crystal quantification was prepared with a synthetic hydroxyapatite, which allows to prepare a series of stable and reproducible standards. • The analysis with ESEM determines the elemental composition of all visible particles without any pretreatment of the biological sample prior to observation.

Indexed as

Alizarin red stainingBiomarkerCalcium crystalsEarly osteoarthritisEnvironmental Scanning Electron MicroscopeFemoroacetabular impingement

Identifiers

PMID41230552
PMCPMC12602170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.