Jian Wang

Dr. Jian Wang


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2024 in Journal of Inflammation Research
Verified
Journal Article
Open access
PDF file
LHLiuyi Huang
Liuyi Huang
XLXi Li
Xi Li
WZWei Zhou
Wei Zhou
HZHaiqing Zhu
Haiqing Zhu
YLYuehong Lao
Yuehong Lao
JWJian Wang
Jian Wang
Objective: There are no studies examining the role of the neutrophil-to-lymphocyte ratio (NLR), the C-reactive protein-to-albumin ratio (CAR), the systemic inflammatory index (SII), and the systemic inflammatory response index (SIRI) in anti-synthetase syndrome (ASS). We aim to compare NLR, CAR, SII, and SIRI in ASS and dermatomyositis/polymyositis (DM/PM), as well as to examine potential correlations between NLR, CAR, SII, and SIRI and clinical features and laboratory parameters in ASS. Methods: Retrospective collection of data from 111 patients with ASS and 175 patients with DM/PM. A Spearman rank correlation analysis was utilized to analyze the correlation between NLR, CAR, SII, and SIRI and inflammatory indexes. Receiver operating characteristic (ROC) curves were used to assess the diagnostic value. Univariate logistic regression analysis was performed to assess risk factors for interstitial lung disease (ILD). Results: Compared with DM/PM, NLR, CAR, SII, and SIRI were significantly greater in ASS patients (p < 0.05). NLR, CAR, SII, and SIRI were correlated with albumin, lactic dehydrogenase (LDH), C-reactive protein (CRP), ferritin, white blood cell (WBC), platelets, and myositis disease activity assessment visual analog scales (MYOACT) score (p < 0.05). The ROC curves analysis showed that NLR, SII, and SIRI were all highly predictive of the occurrence of ASS. Comparisons based on clinical characteristics showed elevated levels of NLR, CAR, SII, and SIRI in ASS patients with ILD, fever, and infection (p < 0.05). Univariate logistic regression analysis revealed that NLR, CAR, and SII were significant risk factors for ASS-ILD (p < 0.05). Conclusion: The levels of NLR, CAR, SII, and SIRI were higher in ASS than in DM/PM and correlated with disease activity and specific clinical features. NLR, CAR, SII, and SIRI may be an aid in differentiating ASS from DM/PM and maybe promising biomarkers for ASS.

1 January 2021 in Clinical Laboratory
Verified
Journal Article
Closed access
FLFengke Lu
Fengke Lu
SPSiqiong Pan
Siqiong Pan
YQYunwei Qi
Yunwei Qi
XLXi Li
Xi Li
JWJian Wang
Jian Wang
Background: Early detection of tumors is beneficial to the treatment of patients. Certain indicators in the blood routine, such as red blood cell distribution width (RDW), are considered to be used to assess the patient's condition and prognosis. Mean platelet volume (MPV) is also used to assess the prognosis of patients. Carbohydrate antigen 153 (CA153) is considered to be a more specific antigen marker for breast cancer. The purpose of our study was to explore the diagnostic value of RDW, MPV, and CA153 for breast cancer (BC) and breast hyperplasia (BH). Methods: The study included 104 breast cancer patients, 100 breast hyperplasia patients, and 100 healthy controls. CA153 was detected by an automatic electrochemical luminescence analyzer (Cobas e601, Roche Diagnostics, Switzerland). The concentration of RDW and MPV in serum was measured by Sysmex XN-10-B3 (Sysmex, Japan). Results: Compared with the breast hyperplasia group, the RDW and CA153 of the breast cancer group were increased. The healthy control group, mammary gland hyperplasia group, and breast cancer were positively correlated with RDW and CA153. Logistic regression results show that increasing age, increasing RDW, and increasing CA153 can increase the risk of breast cancer. The area under the ROC (AUC) analysis showed that the combined specificity and sensitivity of the combined application of RDW, MPV, and CA153 for the identification of breast cancer is better than that of a single marker. Conclusions: The combined application of RDW, MPV, and CA153 can improve the differential diagnosis of breast cancer and breast hyperplasia.

23 March 2014 in Journal of Assisted Reproduction and Genetics
Verified
Journal Article
Open access
PDF file
XQXue Qin
Xue Qin
LMLiping Ma
Liping Ma
SYShi Yang
Shi Yang
JZJiangyang Zhao
Jiangyang Zhao
SCSiyuan Chen
Siyuan Chen
AQAiping Qin
Aiping Qin
The purpose of this study was to conduct a meta-analysis to assess the association between FSHR Asn680Ser polymorphism and ovarian cancer susceptibility.

15 May 2014 in Renal Failure
Verified
Journal Article
Open access
YYYulan Yan
Yulan Yan
LLLiang Liang
Liang Liang
SYShi Yang
Shi Yang
JWJian Wang
Jian Wang
LXLi Xie
Li Xie
SLShan Li
Shan Li
The relationship between the methylenetetrahydrofolate reductase (MTHFR) A1298C polymorphism and the susceptibility of diabetes remains inclusive or controversial. For better understanding of the influence of MTHFR A1298C polymorphism on diabetes risk, we performed this meta-analysis. All related articles were identified through a search of PubMed, Embase, Chinese Biomedical Literature Database (CBM, Chinese), China National Knowledge Infrastructure (CNKI), and Wangfang Database (Chinese). The relationship between the MTHFR A1298C polymorphism and diabetes susceptibility was conducted by odds ratios (ORs) and 95% confidence intervals. Total of six studies with 897 cases and 852 controls were included in our meta-analysis. Overall, the significance associated was found between MTHFR A1298C polymorphism and the susceptibility of diabetes under recessive model (CC vs. OR=1.70, 95% CI=1.18-2.45, p=0.004). On the subgroup analysis according to ethnicity, the results indicated that MTHFR A1298C polymorphism has a significant association with diabetes in Asian population under dominant model (CC/AC vs. AA: OR=1.31, 95% CI=1.003-1.72, p=0.047). However, there was no association found between MTHFR A1298C polymorphism and diabetes susceptibility in Caucasians. The results indicated that the MTHFR A1298C polymorphism is a dangerous factor for diabetes, especially for Asians.

1 July 2020
Verified
Journal Article
Closed access
XLX. Li
X. Li
JXJ. Xu
J. Xu
MLM. Li
M. Li
XZX. Zeng
X. Zeng
JWJian Wang
Jian Wang
CHChaojun Hu
Chaojun Hu

12 December 2022 in Journal of Clinical Laboratory Analysis
Verified
Journal Article
Open access
MJMin Jin
Min Jin
FLFengke Lu
Fengke Lu
XLXi Li
Xi Li
WZWei Zhou
Wei Zhou
SLSihui Li
Sihui Li
JWJian Wang
Jian Wang
Objective: The KRAS gene has a pathophysiological role in the development of many cancers. This study aims to investigate the relationship between KRAS polymorphisms and genetic susceptibility to breast cancer.Method: The rs712, rs12587 and rs9266 gene loci in the KRAS gene of 421 subjects (141 breast cancer patients, 141 benign breast tumours and 139 healthy controls) were analysed by the polymerase chain reaction and SNaPshot sequencing. Transcriptomic information on KRAS and corresponding clinical information was downloaded from the TCGA and GTEx databases. Differences in KRAS expression between breast cancer tissues and control tissues were analysed.Results: We found no significant association between KRAS rs712 and rs12587 locus gene polymorphisms and an increased risk of developing benign breast tumours and breast cancer (p > 0.05). The KRAS rs9266 locus mutation heterozygous model CT and dominant model CT + TT were significantly associated with an increased risk of breast cancer (both p < 0.05). In addition, the TAT haplotype was expressed at an increased frequency, and the GAC haplotype was expressed at a reduced frequency in breast cancer compared with controls (both p < 0.05). We found that KRAS was over expressed in breast cancer tumour tissues compared with the control tissues (p < 0.0001).Conclusion: The KRAS rs9266 gene polymorphism and the TAT haplotype may be associated with an increased risk of breast cancer in Chinese women. The GAC haplotype may be a protective factor against breast cancer.