Zhenguo Li

Zhenguo Li


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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7 April 2020 in Molecular Genetics & Genomic Medicine
Verified
Journal Article
Open access
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CWChun Wang
Chun Wang
GHGuiyuan He
Guiyuan He
YGYusong Ge
Yusong Ge
RLRunjie Li
Runjie Li
ZLZhenguo Li
Zhenguo Li
YLYongzhong Lin
Yongzhong Lin
Background: Asparagine synthetase deficiency (ASNSD) is a rare pediatric congenital disorder that clinically manifests into severe progressive microcephaly, global developmental delay, spastic quadriplegia, and refractory seizures. ASNSD is caused by inheritable autosomal recessive mutations in the asparagine synthetase (ASNS) gene.Methods: We performed whole‐exome sequencing using the patient's peripheral blood, and newly discovered mutations were subsequently verified in the patient's parents via Sanger sequencing. Software‐based bioinformatics analyses (protein sequence conservation analysis, prediction of protein phosphorylation sites, protein structure modeling, and protein stability prediction) were performed to investigate and deduce their downstream effects.Results: In this article, we summarized all the previously reported cases of ASNSD and that of a Chinese girl who was clinically diagnosed with ASNSD, which was later confirmed via genetic testing. Whole‐exome sequencing revealed two compound heterozygous missense mutations within the ASNS (c.368T > C, p.F123S and c.1649G > A, p.R550H). The origin of the two mutations was also verified in the patient's parents via Sanger sequencing. The mutation c.368T > C (p.F123S) was discovered and confirmed to be novel and previously unreported. Using software‐based bioinformatics analyses, we deduced that the two mutation sites are highly conserved across a wide range of species, with the ability to alter different phosphorylation sites and destabilize the ASNS protein structure. The newly identified p.F123S mutation was predicted to be the most significantly destabilizing and detrimental mutation to the ASNS protein structure, compared to all other previously reported mutations.Conclusion: Evidently, the presence of these compound heterozygous mutations could lead to severe clinical phenotypes and serve as a potential indicator for considerably higher risk with less optimistic prognosis in ASNSD patients.

25 August 2023 in Medicine
Verified
Journal Article
Open access
NZNianzhu Zhang
Nianzhu Zhang
CPChunsong Mbbs Pang
Chunsong Mbbs Pang
ZLZhenguo Li
Zhenguo Li
FXFang Xu
Fang Xu
LZLifen Zhao Zhao
Lifen Zhao Zhao
Background: Cervical cancer (CC) is the fourth most frequently diagnosed cancer and the fourth leading cause of cancer-related death in women. Identifying new biomarkers for the early detection of CC is an essential requirement in this field. CXCL8 was originally discovered because of its role in inflammation by binding to CXCR1 and CXCR2; however, it is now known to play an important role in cancer. In this study, we aimed to evaluate the expression levels of potential biomarkers (CXCL8, CXCR1, and CXCR2) and to explore their diagnostic potential in CC. Methods: The expression levels of serum CXCL8, CXCR1, and CXCR2 were investigated by kit method on Immulite-1000 in 30 healthy volunteers, 30 precancerous patients and 70 CC patients. Results: The results indicated that the expression of CXCL8 and CXCR2 was significantly higher in the serum of CC patients than in healthy volunteers, similar to the well-established tumor marker (squamous-cell cancerantigen [SCC]). Receiver operating characteristic analyses showed that the combination of CXCL8, CXCR2, and SCC had the highest diagnostic sensitivity and area under the curve value. Meanwhile, the positive predictive value and negative predictive value were not very low. Moreover, high concentrations of CXCL8 and CXCR2 are associated with an increased risk of CC. Conclusions: In conclusion, our data demonstrated that combined serum CXCL8, CXCR2, and SCC measurements are helpful for CC diagnosis and can be used as potential biomarkers for the early detection of CC. Cytokines, such as CXCL8 and CXCR2, can be easily measured in most university hospital laboratories and in some private laboratories with a routine test.