Objective:To investigate the longitudinal patterns and influencing factors of platelet counts among healthy adults in Sichuan Province from 2010 to 2021, and to inform the establishment of region-specific reference intervals for platelet counts.Methods:This study is a retrospective study. A total of 7 808 healthy adults who underwent annual physical examinations at West China Hospital, Sichuan University, between January 2010 and December 2021 were included. All participants were permanent Chengdu residents and completed consecutive complete blood count tests. Group-based trajectory modeling (GBTM) was used to identify distinct trajectories of platelet count over the ten-year period. One-way analyses were then conducted to compare baseline demographic characteristics (sex and age) among the different trajectory groups.Results:Among 7 808 participants, 4 589 (58.8%) were male and 3 219 (41.2%) were female. Four platelet count trajectories were identified by GBTM: steadily increasing group [27.4% (2 139/7 808)], early increase-plateau group [44.1% (3 445/7 808)], early decrease-subsequent increase group [5.4% (422/7 808)], and steadily decreasing group [23.1% (1 802/7 808)], with an average growth rate of 3.3%, 1.6%, 0.7%, and -0.6%, respectively. There were statistically significant differences in both sex and age distributions among the four trajectory groups. Sex-distribution differed significantly across the four trajectory groups ( χ2=73.3, P<0.001). The male proportions in the four trajectory groups were 59.6% (1 275/2 139), 62.8% (2 165/3 445), 48.1% (203/422), and 52.5% (946/1 802), respectively. The baseline ages were 45 (36, 55), 43 (35, 53), 50 (40, 60), and 47 (39, 58) years, respectively (H=121.0, P<0.001). Conclusions:Healthy adults in Sichuan Province exhibit four longitudinal trajectories of platelet counts: steadily increasing, early increase-plateau, early decrease-subsequent increase, and steadily decreasing. The two trajectories characterized by rising platelet counts (steadily increasing group and early increase-plateau group) exhibited higher male predominance and lower median ages, whereas the early decrease-subsequent increase group and the steadily decreasing group exhibited lower male proportions and higher median ages. Therefore, while establishing reference intervals and developing health management strategies for platelet counts, it is essential to account for the sex, age characteristics and the population′s dynamic changes.

Objective:To investigate the longitudinal patterns and influencing factors of platelet counts among healthy adults in Sichuan Province from 2010 to 2021, and to inform the establishment of region-specific reference intervals for platelet counts.Methods:This study is a retrospective study. A total of 7 808 healthy adults who underwent annual physical examinations at West China Hospital, Sichuan University, between January 2010 and December 2021 were included. All participants were permanent Chengdu residents and completed consecutive complete blood count tests. Group-based trajectory modeling (GBTM) was used to identify distinct trajectories of platelet count over the ten-year period. One-way analyses were then conducted to compare baseline demographic characteristics (sex and age) among the different trajectory groups.Results:Among 7 808 participants, 4 589 (58.8%) were male and 3 219 (41.2%) were female. Four platelet count trajectories were identified by GBTM: steadily increasing group [27.4% (2 139/7 808)], early increase-plateau group [44.1% (3 445/7 808)], early decrease-subsequent increase group [5.4% (422/7 808)], and steadily decreasing group [23.1% (1 802/7 808)], with an average growth rate of 3.3%, 1.6%, 0.7%, and -0.6%, respectively. There were statistically significant differences in both sex and age distributions among the four trajectory groups. Sex-distribution differed significantly across the four trajectory groups ( χ2=73.3, P<0.001). The male proportions in the four trajectory groups were 59.6% (1 275/2 139), 62.8% (2 165/3 445), 48.1% (203/422), and 52.5% (946/1 802), respectively. The baseline ages were 45 (36, 55), 43 (35, 53), 50 (40, 60), and 47 (39, 58) years, respectively (H=121.0, P<0.001). Conclusions:Healthy adults in Sichuan Province exhibit four longitudinal trajectories of platelet counts: steadily increasing, early increase-plateau, early decrease-subsequent increase, and steadily decreasing. The two trajectories characterized by rising platelet counts (steadily increasing group and early increase-plateau group) exhibited higher male predominance and lower median ages, whereas the early decrease-subsequent increase group and the steadily decreasing group exhibited lower male proportions and higher median ages. Therefore, while establishing reference intervals and developing health management strategies for platelet counts, it is essential to account for the sex, age characteristics and the population′s dynamic changes.

OBJECTIVE: To investigate the expression and role of Interleukin-33 (IL-33) and ST2 in the nasal polyps of human Eosinophilic and non-Eosinophilic chronic rhinosinusitis with nasal polyps (ECRS and non-ECRS). METHOD: IL-33 and ST2 protein expression in nasal polyps of ECRS and non-ECRS as well as in seemingly normal mucosa of the inferior turbinate tissue was investigated by immunohistochemical staining and messenger RNA (mRNA) expression of IL-33 and ST2 was assessed by realtime polymerase chain reaction (PCR) in 27 subjects with ECRS, 33 subjects with non-ECRS, and 11 control subjects. RESULT: (1) The ST2 was found both in nasal polyps of ECRS and non-ECRS,especially in ECRS, yet hardly found in the normal mucosa of the inferior turbinate tissue; (2) The expression of ST2 mRNA in nasal polyps of ECRS was higher than that in non-ECRS and normal inferior turbinate tissue, and the difference was both prominent in statistics (P<0.01); (3) The expression patterns of IL-33 at both mRNA and protein levels were not significantly different among the three groups (P>0.05). CONCLUSION The IL-33 and its receptor ST2 were both expressed in human nasal polyps including ECRS and non-ECRS, meanwhile the expression patterns of ST2 at both mRNA and protein levels were significantly higher in nasal polyps of ECRS. The current study suggests that IL-33 and its receptor ST2 may play important roles in the pathogenesis of chronic rhinosinusitis with nasal polyps, especially in ECRS through the increased expression of ST2 in Eosinophils as a hypothesis.
Chronic Disease ; Eosinophils ; immunology ; Humans ; Interleukin-1 Receptor-Like 1 Protein ; Interleukin-33 ; metabolism ; Nasal Mucosa ; metabolism ; Nasal Polyps ; immunology ; RNA, Messenger ; Real-Time Polymerase Chain Reaction ; Receptors, Cell Surface ; metabolism ; Rhinitis ; immunology ; Sinusitis ; immunology ; Turbinates ; metabolism

OBJECTIVE: To observe the correlation between the expression of galectin-7 and S100A9 with the development of cervical squamous carcinoma. METHODS: Immunohistochemical SP staining was used to detect the expression of galectin-7 and S100A9 in 243 patients with cervical intraepithelial neoplasia (CIN) or cervical squamous carcinoma. The association of clinical data with galectin-7 and S100A9 expression was examined. RESULTS: The expression of galectin-7 and S100A9 in CIN and cervical squamous carcinoma was significantly different (P<0.05). The positive rates of galectin-7 in normal cervical tissues, CIN I, CIN II, CIN III, and cervical squamous carcinoma were 56.7%, 41.9%, 32.0%, 27.3%, and 25.0%, respectively. Statistic analysis found significant difference between the normal cervical tissues and cervical squamous carcinoma (P<0.0045). The positive rates of S100A9 in CIN I, CIN II, CIN III, and cervical squamous carcinoma were 80.0%, 77.4%, 48.0%, 27.3%, and 20.2%. Statistic analysis showed significant difference between the normal tissues and CIN III, the normal cervical tissues and cervical squamous carcinoma, CIN I and CIN III, CIN I and cervical squamous carcinoma, CIN II and cervical squamous carcinoma (P<0.0045). A positive correlation was found between galectin-7 and S100A9 expression in CIN and cervical squamous carcinoma (rs=0.298, P<0.001). Expressions of both galectin-7 and S100A9 in cervical squamous carcinoma were associated with the clinical stage and lymph nodes (P<0.05), but not with patient's age and degree of differentiation (P>0.05). Expression of galectin-7 was associated with the survival rate of patients with cervical squamous carcinoma (P<0.05). Univariate analysis of Cox proportional hazards regression model revealed that the FIGO stage, lymph nodes metastasis, and the expression of galectin-7 were relevant to the 5 year survival rate of patients with cervical squamous carcinoma, which was confirmed by multiple analysis of Cox proportional hazards regression model. CONCLUSION Expression of galectin-7 and S100A9 is related with cervical the tumorigenesis of carcinoma, clinical stage, and lymph nodes of cervical squamous carcinoma. Galectin-7 is probably associated with the prognosis. The long-term survival of patients with cervical carcinoma may be associated with FIGO stage, lymph node metastasis, and the expression of galectin-7.
Calgranulin B ; metabolism ; Carcinoma, Squamous Cell ; metabolism ; Cell Differentiation ; Cervical Intraepithelial Neoplasia ; metabolism ; Female ; Galectins ; metabolism ; Humans ; Lymphatic Metastasis ; Prognosis ; Proportional Hazards Models ; Survival Rate ; Uterine Cervical Neoplasms ; metabolism