bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/148601

Stability of Commonly Used Haematological Parameters in Samples Stored at 33°C, 22°C and 4°C

Jain, A.·Jain, S.·Singh, N.·Aswal, P.·Pal, S.·Meinia, S. K.·Chowdhury, N.
View original source ↗Export metadata ↓

Abstract

AimThis study aimed to investigate the analytical bias and imprecision in haematological parameters induced by storage at 4{degrees}C, 22{degrees}C and 33 {degrees}C.\n\nMethodsThree K2EDTA anticoagulated vials of blood were collected from each of twenty blood donors and stored at 4{degrees}C, 22{degrees}C and 33{degrees}C respectively. Readings from each vial were taken at 0, 4, 6, 12, 24, 48 and 72 hours after collection on the Sysmex XP-100 analyser. The mean and median shift of the parameters relative to the baseline and the coefficient of variation for each time-temperature combination were calculated. The shift was compared to the maximum acceptable bias.\n\nResultsHaemoglobin, Red Blood Cell Count, White Blood Cell Count, Mean Corpuscular Haemoglobin were stable for at least twenty four hours at 33{degrees}C. Haematocrit, Mean Corpuscular Volume and Platelet Counts were stable for less than four hours at 33{degrees}C. All the above parameters were stable for longer at 22{degrees}C and 4{degrees}C. The three-part differential count showed instability within four hours at 33 {degrees}C.\n\nConclusionsStrict pre-analytical control is needed at 33{degrees}C or above due to the marked instability of most parameters. However, Haemoglobin, Red Blood Cell Count, White Blood Cell Count and Mean Corpuscular Haemoglobin remain relatively stable even at 33{degrees}C.\n\nKey MessageHaematology samples exposed to temperatures of 33{degrees}C or above show rapid change in MCV, HCT,MCHC, RDW, Platelet Counts and three-part differential counts. Settings where prolonged exposure to these temperatures cannot be avoided should rely on the more stable parameters of Haemoglobin, RBC Counts, MCH and WBC Counts.

Source connections

Explore related subjects

pathologyPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Jain, A., Jain, S., Singh, N., Aswal, P., Pal, S., Meinia, S. K., Chowdhury, N.. 2017-06-10. Stability of Commonly Used Haematological Parameters in Samples Stored at 33°C, 22°C and 4°C. https://doi.org/10.1101/148601

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Biomechanical stress in the retinal pigment epithelium surrounding laser scars in humans

Purpose : The wound response of an epithelium comprises tissue-scale activation of stress fibers whose contraction regionally reconfigures the epithelium and drives closure of the wound. Recent in vitro studies have shown that similar biomechanical processes can paradoxically lead to enlargement of epithelial holes. In patients having undergone laser photocoagulation of the retinal pigment epithelium (RPE), laser scars may expand over years. Here, to document the implication of epithelial biomechanics in the enlargement of laser scars we analyzed the dynamic changes affecting the RPE around scars in patients and performed confocal microscopy on a RPE flat-mount from a donor eye. Methods: We analyzed the image files of five patients (age 61 to 85 years) showing enlargement of laser scars in the RPE (follow-up, 13 to 60 months). In three of them, prospective imaging was performed using transscleral illumination adaptive optics ophthalmoscopy (AOO), an imaging technology enabling visualization of RPE cells. Time-lapse sequences were analyzed to track dynamic processes in the RPE surrounding scars. A flat-mounted phalloidin-labeled RPE from a human donor eye with a history of scatter photocoagulation was examined by confocal microscopy to document the distribution of stress fibers and cell metrics. Results: Time-lapse sequences showed that enlargement of laser scars was accompanied by the displacement of microscopic features in margins of atrophy. AOO imaging suggested locally coordinated displacement of mosaic of darks spots, with a generally radial or tangent direction relative to the edges of scars. Such movements were detected up to several hundred microns from the edges of scars. On the histology sample, elongated RPE cells with stress fibers forming actin cables were found along edges of scars, which formed fascicles between adjacent scars. Conclusion: Enlargement of RPE scars may be accompanied by long-lasting, largescale changes in the distribution of microscopic features in the margins of lesions. In particular, transscleral illumination AOO showed coordinated displacement of a mosaic similar to the one described for the RPE. The finding by histology of RPE cell with a tractional phenotype along edges further suggests that epithelial biomechanics contribute to such movements and may hence contribute to scar enlargement.

pathology↗
bioRxiv2026

Loss of stromal VEGFR2 protects against ischemic acute kidney injury by preserving the renal microvasculature

Injury to the renal microvasculature, particularly the peritubular capillaries, is a defining feature of ischemic acute kidney injury (AKI). Vascular endothelial growth factor receptor 2 (VEGFR2) signaling is a central regulator of endothelial cell survival, proliferation, migration, and vascular remodeling. Although VEGFR2 has been extensively studied in endothelial cells, accumulating evidence suggests that it is also expressed in non-endothelial cell populations, where it may regulate tissue-specific responses to injury. Here, using publicly available single-cell or single-nucleus RNA sequencing data from human and mouse kidneys, we identified VEGFR2 expression in renal stromal populations. Immunostaining further detected phosphorylated VEGFR2 in the renal stroma of mouse kidneys. To determine the functional role of stromal VEGFR2, we utilized renal stroma-specific Vegfr2 KO mice. Stromal VegfR2 deletion attenuated kidney injury after renal ischemia/reperfusion injury (IRI), as evidenced by reduced tubular injury, preservation of renal blood flow, decreased endothelial oxidative stress, and maintenance of the renal microvasculature. Stromal Vegfr2-deficient kidneys also exhibited increased Angpt1 and Tek levels, enhanced endothelial ERK activation, and preserved endothelial adherent junctions. Taken together, these findings reveal an unexpected role for VEGFR2 in the renal stromal lineage and highlight stromal-endothelial communication as a potential therapeutic target for preserving microvascular integrity after ischemic AKI.

pathology↗
bioRxiv2026

Digital pathological classification of peripheral neuroblastic tumors across multi-continent cohorts

Peripheral neuroblastic tumors (pNTs) are embryonal tumors of neural crest origin with highly variable clinical behaviors, ranging from spontaneous regression to aggressive and fatal disease. The International Neuroblastoma Pathology Classification (INPC) defines four diagnostic categories and stratifies tumors into Favorable Histology (FH) or Unfavorable Histology (UH) group based on age-linked assessment of tumor differentiation/maturation and the Mitosis-Karyorrhexis Index (MKI). Prognostic distinction according to INPC offers significant prediction of clinical outcomes, with patients harboring FH tumors demonstrating longer overall and event-free survival than those with UH tumor. Here, we assembled the largest multi-continental whole-slide histology imaging dataset of pNTs to date, comprising 2,030 tumors from the United States, Canada, Australia, New Zealand, Germany and Japan. Using this dataset, we developed NB-PathAssist, a computational pathology framework for automated INPC-based classification from digitized whole-slide images. NB-PathAssist integrates foundation-model-based feature extraction with an archetype-guided SummaryMixing architecture that compresses whole-slide morphology into representative histologic tokens for tumor-level classification. To automate MKI assessment, we manually annotated 14,049 nuclei, classifying them as mitotic-karyorrhectic (MK) tumor cells, non-MK tumor cells, or non-tumor cells. The resulting model was applied to phenotype cells in whole-slide images across 1,649 tissue sections. Across geographically and institutionally diverse cohorts, NB-PathAssist reproducibly assessed key diagnostic features and generated prognostic classifications concordant with reference INPC annotations. The average balanced accuracy for classifying tumor categories, grade of neuroblastic differentiation, MKI and prognostic groups achieved 0.84, 0.86, 0.89 and 0.96, respectively. We packaged the NB-PathAssist algorithms into an end-to-end online platform for scalable and standardized AI-assisted assessment of pNTs.

pathology↗