Relevant bibliographies by topics / Differential leucocyte count

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Academic literature on the topic 'Differential leucocyte count'

Author: Grafiati
Published: 4 June 2025
Last updated: 14 July 2025

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Journal articles on the topic "Differential leucocyte count"

1

Albenzio, Marzia, and Mariangela Caroprese. "Differential leucocyte count for ewe milk with low and high somatic cell count." Journal of Dairy Research 78, no. 1 (2010): 43–48. http://dx.doi.org/10.1017/s0022029910000798.

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This study was undertaken to compare flow cytometry (FC) and direct microscopic leucocyte count (MDLC) for the differentiation of macrophages, lymphocytes and polymorphonuclear leucocyte (PMN) and to evaluate leucocyte distribution in ewe milk with low and high somatic cell count (SCC). Milk samples were grouped for somatic cell count in low SCC (LSCC) when the content was lower than 5·00×105/ml and high SCC (HSCC) when the content was higher than 1·00×106/ml. No differences were found between the two methods tested suggesting that FC could be used as a routine test for rapid discrimination of leucocytes. Percentages of lymphocytes in ewe milk were higher in LSCC (50%) than in HSCC (39%) and count ranged from 273·91±56·62×103cells/ml (LSCC) to 308·90±46·15×103cells/ml (HSCC). PMN number was lower in LSCC than in HSCC (248·83±46·87×103cells/ml v. 444·38±58·62×103cells/ml); accordingly the percentage was lower in LSCC (40%) than in HSCC (57%). No differences were found for macrophages which were 36·36±5·51×103cells/ml and 39·32±6·83×103cells/ml in LSCC and HSCC, respectively. Lymphocytes in ewe milk did not vary with increased number of somatic cells and were the predominant cell type in LSCC. PMN represented the main population detected in HSCC and the correlation with SCC evidenced that this leucocyte class could be useful in differentiating ewe milk cell count, being strictly responsible for the SCC increase.
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Adetula, Adeyinka Abiola, Xiangdong Liu, Thuy Nhien Tran Thi, et al. "Transcriptional Profiling of Leucocyte Count Variation from Porcine Peripheral Blood Reveals Differential Gene Expression." BioMed Research International 2018 (November 18, 2018): 1–11. http://dx.doi.org/10.1155/2018/1496536.

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Leucocytes have tremendous health-check importance related to the individual antiviral capacity of pigs and other mammals. However, the molecular mechanism of the immune response of blood leucocytes in pigs is not completely known. This study investigated the leucocyte-count variation before and after poly I:C stimulation in a Duroc–Erhualian F2 population. Pigs with increased and decreased differences in leucocyte counts were coded as increased responder (IR) and decreased responder (DR), respectively. Then, we used microarray technology to compare the gene-expression profiles of both groups of pigs. Transcriptomic analysis identified 129 differentially expressed genes (DEGs) in IR pigs and 136 DEGs in DR pigs. Forty-one common DEGs showed that both groups had similar expression patterns of immune responses. These results illustrated a differential expression in both groups. Furthermore, qPCR experiment was performed to verify the differential-expression profile. Functional annotation of the DEGs indicated that both IR and DR pigs were similar in several biological processes, including innate immune response, and also exhibited distinct differences in biological processes, molecular function, and pathways. These results provided insights into the mechanism underlying the antiviral capacity of pigs.Trial registration numberis CAS Registry Number24939-03-5.
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Lowe-Jinde, L. "Hematological changes in Cryptobia-infected rainbow trout (Salmo gairdneri)." Canadian Journal of Zoology 64, no. 6 (1986): 1352–55. http://dx.doi.org/10.1139/z86-201.

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Rainbow trout, Salmo gairdneri, were experimentally infected with Cryptobia salmositica and total and differential erythrocyte and leucocyte abundances were examined. Total erythrocyte counts were profoundly reduced and were lowest at 4 weeks postinoculation during the peak of infection. Differential erythrocyte number showed significant reduction in mature erythrocytes, degenerating erythrocytes, and erythroblasts. The reduction in mature erythrocytes number was observed from 3 through 8 weeks postinoculation, while erythroblast reduction occurred at 1 through 5 weeks postinoculation. Subsequently, the number of erythroblasts increase and reach control values at 6, 7, and 8 weeks postinoculation. Although the total leucocyte count was not significantly changed, the differential leucocyte abundance showed that granulocytes were significantly increased. Similarly, the rarely seen, circulating, immature granuloblasts were increased. Both granuloblast and granulocyte numbers returned to control values by 8 weeks postinoculation. Thus, the pattern of differential erythrocytic and leucocytic changes reflect an acute parasitemia and a subsequent partial recovery of the infected fish to the parasitemia.
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Sofyanita, Eko Naning, Hendra Adistia Bangkit, and Roni Afriansya. "Hubungan Jumlah Eritrosit dan Hitung Jenis Leukosit pada Masyarakat dengan Paparan Polutan Tinggi di Desa Tambak Mulyo Kota Semarang." Borneo Journal of Medical Laboratory Technology 3, no. 2 (2021): 217–22. http://dx.doi.org/10.33084/bjmlt.v3i2.2230.

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Lead (Pb) and carbon monoxide (CO) are gas components in airborne pollutants due to vehicle fumes or industrial exhaust gases that affect the blood, namely shortening the life span of erythrocytes produced in erythropoiesis. In addition, small pollutants can be inhaled and enter the alveoli and then phagocytosis and trigger the release of mediators, namely leukocyte cells, which can cause inflammation. This study aims to determine the correlation between the erythrocytes count and differential leucocyte count of the Tambak Mulyo village community, Semarang City. This research was a cross-sectional analytic study of primary data using 20 blood samples, carried out by the erythrocytes count and differential leucocyte count tests. The examination results showed that the average erythrocytes count in all samples was 5.25 million cells/mm3 with a percentage of the normal erythrocytes count is 45.00%, and a high of erythrocytes count is 55.0%. On the test of the differential leucocyte count, 4 samples are obtained with specific values. Normal leukocytes and as many as 16 samples experienced an increase and decrease in the differential leucocyte count. The chi-square test shows Asymp.Sig> 0.05, which means there is no correlation between variables, so it can be concluded that there is no significant correlation between the erythrocytes count and differential leucocyte count (lymphocytes, basophils, eosinophils, neutrophils, and monocytes) in the community with exposure to high pollutants in Tambak Mulyo village, Semarang City.
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Ava, Dihingia, and Jahan Wasima. "A Study Of The Hematological Profile In Relation To Some Allergic Diseases (A Hospital Based Study)." International Journal of Basic and Applied Physiology 2, no. 1 (2013): 35–40. https://doi.org/10.5281/zenodo.4478485.

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Eosinophils and neutrophils play major roles in pathogenesis of allergy.However the relation between peripheral blood cell counts of other major leukocyte groups, Hb%, ESR in allergic diseases is less clear.Therefore this study was conducted to find out if there is any variation in the haematological profile in subjects having allergic disease. Method: 50 cases of bronchial asthma, 50 cases of some allergic skin disorders and 50 cases of allergic rhinitis and 50 controls were chosen for this study. The study design was cross-sectional. Total Leucocyte Count, Absolute Eosinophil Count were done using Neubauer’s chamber, Differential Leucocyte Count by Leishman’s staining and Erythrocyte Sedimentation Rate using Westergren’s method. Haemoglobin estimation was done by cyanmethaemoglobin method. The statistical analysis was done using one way analysis of variance (ANOVA) followed by t test. Result: The results showed a significant increase (p<0.05) in the Total Leucocyte Count, Absolute Eosinophil Count, Erythrocyte Sedimentation Rate and the differential counts of neutrophil and eosinophil, and a significant decrease (p<0.05) in the lymphocyte count among the cases as compared to the controls. Conclusion: It is seen that in allergic condition besides an increase in the eosinophil count, other haematological parameters also change.
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Sultana, Safia, Nabila Afsar, Mohammed Jawad, and Mohammed Abdul Hannan Hazari. "Effects of cigarette smoking on erythrocyte sedimentation rate, platelet count, total and differential leucocyte counts in adult male smokers." Annals of Medical Physiology 3, no. 1 (2019): 14–18. https://doi.org/10.23921/amp.2019v3i1.35185.

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Smoking is one of the leading causes of death worldwide. Smokers have higher risk for coronary heart disease, atherosclerosis, acute myocardial infarction, hypertension, clotting disorders, inflammation, respiratory diseases, cancers, etc. A cigarette smoker is exposed to a number of harmful substances. In this study we hypothesized that smoking causes inflammatory reactions and induces hyperthrombic state in the body which may be reflected in erythrocyte sedimentation rate (ESR), total leucocyte count (TLC), differential leucocyte count (DLC) and platelet count values. The purpose of the study was to study the effects of cigarette smoking on erythrocyte sedimentation rate, total leucocyte count and platelet count in adult male smokers and to compare the results with non-smokers and to establish a relationship between the duration and quantity of smoking with the change in ESR, TLC, DLC and platelet count. A cross sectional study was conducted in the department of Pathology on 86 healthy male subjects (smokers=43 and non-smokers=43). ESR was estimated using Westergrens method. TLC, DLC and platelet counts were estimated using HORIBA Pentra ES60 autoanalyser. TLC and basophil counts were significantly higher in smokers than in non-smokers (p<0.05). The mean value of ESR was higher among smokers than non-smokers but it was statistically insignificant. Platelets counts showed no significant difference between smokers and non- smokers. No correlation was observed in various blood parameters and smoking (in pack years). We conclude that smoking initiates an inflammatory response as evidenced from raised TLC, monocyte and basophil counts.
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Sultana, Safia, Nabila Afsar, Mohammed Jawad, and Mohammed Abdul Hannan Hazari. "Effects of cigarette smoking on erythrocyte sedimentation rate, platelet count, total and differential leucocyte counts in adult male smokers." Annals of Medical Physiology 3, no. 1 (2019): 14–18. http://dx.doi.org/10.23921/amp.2019v3i1.35185.

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Abstract:
Smoking is one of the leading causes of death worldwide. Smokers have higher risk for coronary heart disease, atherosclerosis, acute myocardial infarction, hypertension, clotting disorders, inflammation, respiratory diseases, cancers, etc. A cigarette smoker is exposed to a number of harmful substances. In this study we hypothesized that smoking causes inflammatory reactions and induces hyperthrombic state in the body which may be reflected in erythrocyte sedimentation rate (ESR), total leucocyte count (TLC), differential leucocyte count (DLC) and platelet count values. The purpose of the study was to study the effects of cigarette smoking on erythrocyte sedimentation rate, total leucocyte count and platelet count in adult male smokers and to compare the results with non-smokers and to establish a relationship between the duration and quantity of smoking with the change in ESR, TLC, DLC and platelet count. A cross sectional study was conducted in the department of Pathology on 86 healthy male subjects (smokers=43 and non-smokers=43). ESR was estimated using Westergrens method. TLC, DLC and platelet counts were estimated using HORIBA Pentra ES60 autoanalyzer. TLC and basophil counts were significantly higher in smokers than in non-smokers (p<0.05). The mean value of ESR was higher among smokers than non-smokers but it was statistically insignificant. Platelets counts showed no significant difference between smokers and non- smokers. No correlation was observed in various blood parameters and smoking (in pack years). We conclude that smoking initiates an inflammatory response as evidenced from raised TLC, monocyte and basophil counts.
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8

Strahm, Carol, Vilijam Zdravkovic, Claus Egidy, and Bernhard Jost. "Accuracy of Synovial Leukocyte and Polymorphonuclear Cell Count in Patients with Shoulder Prosthetic Joint Infection." Journal of Bone and Joint Infection 3, no. 5 (2018): 245–48. http://dx.doi.org/10.7150/jbji.29289.

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Abstract. Joint aspiration in suspected infected implants is a validated diagnostic method in establishing the diagnosis of prosthetic joint infection (PJI). Cut-off values for synovial leukocyte counts and differentials are well described for patients with hip and knee PJI. In 19 failed shoulder implants, a leucocyte count of >12.2 G/L had a sensitivity and specificity of 92% and 100% respectively; A differential of >54% neutrophils had a sensitivity of 100 % and a specificity of 75%.
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9

Mercelina-Roumans, P. E. A. M., J. M. H. Ubachs, and J. W. J. van Wersch. "Leucocyte count and leucocyte differential in smoking and non-smoking females during pregnancy." European Journal of Obstetrics & Gynecology and Reproductive Biology 55, no. 3 (1994): 169–73. http://dx.doi.org/10.1016/0028-2243(94)90033-7.

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10

Ojha, AR, and UR Aryal. "Leucocytosis in Febrile Seizure." Journal of Nepal Paediatric Society 31, no. 3 (2011): 188–91. http://dx.doi.org/10.3126/jnps.v31i3.4577.

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Introduction: Febrile seizure (FS) is a common condition affecting 2-5% of children. Peripheral blood leucocyte count with its differential is an initial test looking for the cause of fever and high count is usually accounted for the seizure activity. Objectives: To find the incidence of febrile seizure and to evaluate the relationship between fever duration before seizure, seizure duration and the total leucocyte as well as neutrophil response. Methodology: It is a cross sectional study done at Kathmandu Medical College and Teaching Hospital, Kathmandu, Nepal, for one year. After an informed consent, children from 6 months to 6 years with FS were admitted. Those with afebrile seizures and who refused to give consent were excluded. A detail history and examination was done on admission. All were investigated for the source of fever including total and differential count. Results: Out of a total 1742 children admitted, 115 (6.6%) children had febrile seizure. Simple febrile seizure was observed in 93(81%) and 22(19%) was complex febrile seizure. 42% of them had leucocytosis. The duration of fever before the onset of seizure is found to be negatively correlated with total leucocyte count (r = -0.418, p<0.001) and neutrophils count alone (r = -0.375, p<0.001). The duration of seizure is not correlated to both the total leucocyte count (r = -0.162, p = 0.85) and the neutrophil (r = -0.109, p= 0.247). Conclusion: The incidence of febrile seizure is 6.6%. Leucocytosis and neutrophilia in children is negatively correlated with the duration fever before the onset of seizure, associated with underlying infection if any and is not related to seizure event and its duration. Thus any child with febrile seizure with high leucocyte count should be evaluated for infection. Key words: Fever; Leucocytosis; Neutrophilia; Seizure DOI: http://dx.doi.org/10.3126/jnps.v31i3.4577 J Nep Paedtr Soc 2011;31(3):188-191
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Dissertations / Theses on the topic "Differential leucocyte count"

1

Prinsloo, T. "The evaluation of a new haematological cell counter, the CELL-DYN 3500, on canine leukocyte differential counts." Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-03232006-124924/.

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Book chapters on the topic "Differential leucocyte count"

1

Mohan, Harsh. "Differential Leucocyte Count." In Practical Pathology. Jaypee Brothers Medical Publishers (P) Ltd., 2017. http://dx.doi.org/10.5005/jp/books/12946_48.

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Mohan, Harsh, and Sugandha Mohan. "Differential Leucocyte Count." In Practical Pathology for Dental Students. Jaypee Brothers Medical Publishers (P) Ltd., 2017. http://dx.doi.org/10.5005/jp/books/12948_14.

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Mohan, Harsh. "Differential Leucocyte Count." In Pathology Practical Book. Jaypee Brothers Medical Publishers (P) Ltd., 2013. http://dx.doi.org/10.5005/jp/books/11813_51.

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Mohan, Harsh, and Sugandha Mohan. "Differential Leucocyte Count (DLC)." In Pathology Practical Book for Dental Students. Jaypee Brothers Medical Publishers (P) Ltd., 2011. http://dx.doi.org/10.5005/jp/books/11550_11.

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Maheshwari, Nanda. "Differential Leucocyte Count (DLC)." In Clinical Pathology, Haematology and Blood Banking (For DMLT Students). Jaypee Brothers Medical Publishers (P) Ltd., 2008. http://dx.doi.org/10.5005/jp/books/10143_7.

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