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Article ; Online: Deciphering the emerging landscape of HOX genes in cardiovascular biology, atherosclerosis and beyond (Review).

Zhou, Yu / Wu, Qiang / Guo, Yingchu

International journal of molecular medicine

2023 Volume 53, Issue 2

Abstract: Atherosclerosis, a dominant driving force underlying multiple cardiovascular events, is an intertwined and chronic inflammatory disease characterized by lipid deposition in the arterial wall, which leads to diverse cardiovascular problems. Despite ... ...

Abstract	Atherosclerosis, a dominant driving force underlying multiple cardiovascular events, is an intertwined and chronic inflammatory disease characterized by lipid deposition in the arterial wall, which leads to diverse cardiovascular problems. Despite unprecedented advances in understanding the pathogenesis of atherosclerosis and the substantial decline in cardiovascular mortality, atherosclerotic cardiovascular disease remains a global public health issue. Understanding the molecular landscape of atherosclerosis is imperative in the field of molecular cardiology. Recently, compelling evidence has shown that an important family of homeobox (HOX) genes endows causality in orchestrating the interplay between various cardiovascular biological processes and atherosclerosis. Despite seemingly scratching the surface, such insight into the realization of biology promises to yield extraordinary breakthroughs in ameliorating atherosclerosis. Primarily recapitulated herein are the contributions of HOX in atherosclerosis, including diverse cardiovascular biology, knowledge gaps, remaining challenges and future directions. A snapshot of other cardiovascular biological processes was also provided, including cardiac/vascular development, cardiomyocyte pyroptosis/apoptosis, cardiac fibroblast proliferation and cardiac hypertrophy, which are responsible for cardiovascular disorders. Further in‑depth investigation of HOX promises to provide a potential yet challenging landscape, albeit largely undetermined to date, for partially pinpointing the molecular mechanisms of atherosclerosis. A plethora of new targeted therapies may ultimately emerge against atherosclerosis, which is rapidly underway. However, translational undertakings are crucially important but increasingly challenging and remain an ongoing and monumental conundrum in the field.
MeSH term(s)	Humans ; Atherosclerosis/genetics ; Atherosclerosis/pathology ; Cardiovascular Diseases/genetics ; Genes, Homeobox/genetics ; Heart
Language	English
Publishing date	2023-12-22
Publishing country	Greece
Document type	Journal Article
ZDB-ID	1444428-8
ISSN	1791-244X ; 1107-3756
ISSN (online)	1791-244X
ISSN	1107-3756
DOI	10.3892/ijmm.2023.5341
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Article ; Online: Retraction Note: The long noncoding RNA CRYBG3 induces aneuploidy by interfering with spindle assembly checkpoint via direct binding with Bub3.

Guo, Ziyang / Dai, Yingchu / Hu, Wentao / Zhang, Yongsheng / Cao, Zhifei / Pei, Weiwei / Liu, Ningang / Nie, Jing / Wu, Anqing / Mao, Weidong / Chang, Lei / Li, Bingyan / Pei, Hailong / Hei, Tom K / Zhou, Guangming

Oncogene

2024 Volume 43, Issue 15, Page(s) 1161

Language	English
Publishing date	2024-03-05
Publishing country	England
Document type	Retraction of Publication
ZDB-ID	639046-8
ISSN	1476-5594 ; 0950-9232
ISSN (online)	1476-5594
ISSN	0950-9232
DOI	10.1038/s41388-024-02997-3
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Article ; Online: The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19

Yingchu Zhou / Bo Li / Jiyang Liu / Dong Chen

Canadian Journal of Infectious Diseases and Medical Microbiology , Vol

2020 Volume 2020

Abstract: Objective. We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity. Method. We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment ... ...

Abstract	Objective. We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity. Method. We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment Center of Changsha from January 30, 2020, to February 19, 2020. According to the clinical classification of the disease, the patients were divided into severe and nonsevere groups. General clinical data and underlying medical conditions were recorded through the electronic medical record (EMR) system. Laboratory examination results of the patients during their hospitalization were collected, including the first results for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), peripheral blood lymphocyte ratio and count, and peripheral blood white blood cell (WBC) count. Univariate and multivariate logistic regression models were used to analyze the predictive effectiveness of blood biochemical indexes and other related factors for COVID-19 severity. Result. In all, 108 COVID-19 patients (median age: 43.9 years (range: 1–75); male patients: 56 (51.85%)) were enrolled, of whom 24 (22.22%) showed severe disease and 84 (77.78%) showed nonsevere disease, and two in 24 patients with severe disease developed into a critically severe type and died. Fever was the most common onset symptom (67.59%), followed by cough (48.15%) and fatigue (37.04%). Comorbidities were important factors affecting the severity of COVID-19, and among the patients with severe disease, the proportion with comorbidities was 70.83%, and the proportion without comorbidities was 29.17%. The intergroup difference was significant P<0.05. In patients with CRP levels (mg/L) of ≤8, >8–≤20, >20–≤40, and >40, the proportions of those with severe and nonsevere disease were 0 to 32, 7 to 19, 6 to 23, and 11 to 10, respectively; the intergroup difference was significant P<0.05. Conclusion. The presence or absence of comorbidities and CRP elevation were independent significant predictors of COVID-19 severity, and hypertension was found as the most common comorbidity in patients with severe disease.
Keywords	Infectious and parasitic diseases ; RC109-216 ; Microbiology ; QR1-502 ; covid19
Subject code	610
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
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Article: The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19.

Zhou, Yingchu / Li, Bo / Liu, Jiyang / Chen, Dong

The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale

2020 Volume 2020, Page(s) 7320813

Abstract: Objective: We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity.: Method: We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment ...

Abstract	Objective: We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity. Method: We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment Center of Changsha from January 30, 2020, to February 19, 2020. According to the clinical classification of the disease, the patients were divided into severe and nonsevere groups. General clinical data and underlying medical conditions were recorded through the electronic medical record (EMR) system. Laboratory examination results of the patients during their hospitalization were collected, including the first results for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), peripheral blood lymphocyte ratio and count, and peripheral blood white blood cell (WBC) count. Univariate and multivariate logistic regression models were used to analyze the predictive effectiveness of blood biochemical indexes and other related factors for COVID-19 severity. Result: In all, 108 COVID-19 patients (median age: 43.9 years (range: 1-75); male patients: 56 (51.85%)) were enrolled, of whom 24 (22.22%) showed severe disease and 84 (77.78%) showed nonsevere disease, and two in 24 patients with severe disease developed into a critically severe type and died. Fever was the most common onset symptom (67.59%), followed by cough (48.15%) and fatigue (37.04%). Comorbidities were important factors affecting the severity of COVID-19, and among the patients with severe disease, the proportion with comorbidities was 70.83%, and the proportion without comorbidities was 29.17%. The intergroup difference was significant ( Conclusion: The presence or absence of comorbidities and CRP elevation were independent significant predictors of COVID-19 severity, and hypertension was found as the most common comorbidity in patients with severe disease.
Keywords	covid19
Language	English
Publishing date	2020-08-07
Publishing country	Egypt
Document type	Journal Article
ZDB-ID	1057056-1
ISSN	1712-9532 ; 1180-2332
ISSN	1712-9532 ; 1180-2332
DOI	10.1155/2020/7320813
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Article ; Online: The Tumorigenic Effect of lncRNA AFAP1-AS1 is Mediated by Translated Peptide ATMLP Under the Control of m

Pei, Hailong / Dai, Yingchu / Yu, Yongduo / Tang, Jiaxin / Cao, Zhifei / Zhang, Yongsheng / Li, Bingyan / Nie, Jing / Hei, Tom K / Zhou, Guangming

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

2023 Volume 10, Issue 13, Page(s) e2300314

Abstract: Long noncoding RNAs (lncRNAs) in eukaryotic transcripts have long been believed to regulate various aspects of cellular processes, including carcinogenesis. Herein, it is found that lncRNA AFAP1-AS1 encodes a conserved 90-amino acid peptide located on ... ...

Abstract	Long noncoding RNAs (lncRNAs) in eukaryotic transcripts have long been believed to regulate various aspects of cellular processes, including carcinogenesis. Herein, it is found that lncRNA AFAP1-AS1 encodes a conserved 90-amino acid peptide located on mitochondria, named lncRNA AFAP1-AS1 translated mitochondrial-localized peptide (ATMLP), and it is not the lncRNA but the peptide that promotes the malignancy of nonsmall cell lung cancer (NSCLC). As the tumor progresses, the serum level of ATMLP increases. NSCLC patients with high levels of ATMLP display poorer prognosis. Translation of ATMLP is controlled by m
MeSH term(s)	Humans ; Carcinogenesis/genetics ; Carcinogenesis/metabolism ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/metabolism ; Cell Line, Tumor ; Intercellular Signaling Peptides and Proteins/metabolism ; Lung Neoplasms/metabolism ; Methylation ; Mitochondria/metabolism ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism
Chemical Substances	Intercellular Signaling Peptides and Proteins ; NIPSNAP1 protein, human ; RNA, Long Noncoding ; AFAP1-AS1 long noncoding RNA, human
Language	English
Publishing date	2023-03-04
Publishing country	Germany
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2808093-2
ISSN	2198-3844 ; 2198-3844
ISSN (online)	2198-3844
ISSN	2198-3844
DOI	10.1002/advs.202300314
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Article ; Online: Downregulation of Long Noncoding RNA CRYBG3 Enhances Radiosensitivity in Non-Small Cell Lung Cancer Depending on p53 Status.

Wu, Anqing / Tang, Jiaxin / Dai, Yingchu / Huang, Hao / Nie, Jing / Hu, Wentao / Pei, Hailong / Zhou, Guangming

Radiation research

2022 Volume 198, Issue 3, Page(s) 297–305

Abstract: Non-small cell lung cancer (NSCLC) is the most common type of lung cancer with high recurrence and metastasis rates, and more than half of the patients diagnosed with NSCLC receive local radiotherapy. However, the intrinsic radio-resistance of cancer ... ...

Abstract	Non-small cell lung cancer (NSCLC) is the most common type of lung cancer with high recurrence and metastasis rates, and more than half of the patients diagnosed with NSCLC receive local radiotherapy. However, the intrinsic radio-resistance of cancer cells is a major barrier to effective radiotherapy for NSCLC. CRYBG3 is a long noncoding RNA (lncRNA) that was originally identified to be upregulated in NSCLC and enhanced metastasis of NSCLC cells by interacting with eEF1A1 to promote murine double minute 2 (MDM2) expression. The aims of this study were to reveal the contribution of CRYBG3 to the radioresistance of NSCLC and determine whether that is associated with MDM2-p53 pathway. Therefore, CRYBG3 was stably downregulated in A549 (wild-type p53) and H1299 (deficient p53) cells by infecting short hairpin RNA (shRNA) lentiviral particles. The results showed that downregulation of CRYBG3 increased DNA damage, enhanced apoptosis and pro-apoptotic protein expression in A549 or p53-overexpressed H1299 cells but not in H1299 or p53-silenced A549 cells after X-ray irradiation. However, the contribution of CRYBG3 to radioresistance was abolished by eEF1A1 or MDM2 knockdown in A549 cells. Thus, we concluded that downregulation of CRYBG3 enhanced radiosensitivity by reducing MDM2 expression then leading to decreased MDM2-mediated degradation of p53 in wild-type p53 expressing NSCLC cells. These findings suggested that CRYBG3 can be a potential target for therapeutic intervention of certain lung cancer subtypes.
MeSH term(s)	Apoptosis/genetics ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/radiotherapy ; Cell Line, Tumor ; Down-Regulation ; Humans ; Lung Neoplasms/genetics ; Lung Neoplasms/radiotherapy ; RNA, Long Noncoding/genetics ; RNA, Small Interfering/genetics ; Radiation Tolerance/genetics ; Tumor Suppressor Protein p53/genetics ; Tumor Suppressor Protein p53/metabolism
Chemical Substances	RNA, Long Noncoding ; RNA, Small Interfering ; Tumor Suppressor Protein p53
Language	English
Publishing date	2022-04-15
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	80322-4
ISSN	1938-5404 ; 0033-7587
ISSN (online)	1938-5404
ISSN	0033-7587
DOI	10.1667/RADE-21-00197.1
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Article ; Online: Repair of Spinal Cord Injury by Inhibition of PLK4 Expression Through Local Delivery of siRNA-Loaded Nanoparticles.

Gu, Yingchu / Zhang, Runze / Jiang, Bin / Xu, Xin / Guan, Jun Jie / Jiang, Xing Jie / Zhou, Yuan / Zhou, You Lang / Chen, Xiangdong

Journal of molecular neuroscience : MN

2021 Volume 72, Issue 3, Page(s) 544–554

Abstract: Polo-like kinase 4 (PLK4) is one of the key regulators of centrosomal replication. However, its role and mechanism in spinal cord injury (SCI) are still unclear. The SCI model on rats was constructed and the expression and localization of PLK4 in the ... ...

Abstract	Polo-like kinase 4 (PLK4) is one of the key regulators of centrosomal replication. However, its role and mechanism in spinal cord injury (SCI) are still unclear. The SCI model on rats was constructed and the expression and localization of PLK4 in the spinal cord are analyzed with Western blot and immunofluorescence, respectively. Then the specific siRNAs were encapsulated in nanoparticles for the inhibition of PLK4 expression. Afterward, the role of PLK4 on astrocytes was investigated by knocking down its expression in the primary astrocytes. Moreover, siRNA-loaded nanoparticles were injected into the injured spinal cord of rats, and the motor function recovery of rats after SCI was assessed using the Basso, Beattie, and Bresnahan (BBB) locomotor scale method. Notably, the siRNA-loaded nanoparticles effectively transfect primary astrocytes and significantly inhibit PLK4 expression, together with the expression of PCNA with significance. After treatment, restoration of the motor function following SCI was significantly improved in the PLK4 knockdown group compared with the control group. Therefore, we speculate that inhibition of Plk4 may inhibit the proliferation of astrocytes and decrease the inflammatory response mediated by astrocytes, so as to promote the functional recovery of SCI. In conclusion, inhibition of PLK4 expression via siRNA-loaded nanoparticles may be a potential treatment for SCI.
MeSH term(s)	Animals ; Nanoparticles ; RNA, Small Interfering/genetics ; Rats ; Rats, Sprague-Dawley ; Recovery of Function/physiology ; Spinal Cord/metabolism ; Spinal Cord Injuries/genetics ; Spinal Cord Injuries/metabolism ; Spinal Cord Injuries/therapy
Chemical Substances	RNA, Small Interfering
Language	English
Publishing date	2021-09-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	1043392-2
ISSN	1559-1166 ; 0895-8696
ISSN (online)	1559-1166
ISSN	0895-8696
DOI	10.1007/s12031-021-01871-1
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Article: LNC CRYBG3 inhibits tumor growth by inducing M phase arrest.

Mao, Weidong / Guo, Ziyang / Dai, Yingchu / Nie, Jing / Li, Bingyan / Pei, Hailong / Zhou, Guangming

Journal of Cancer

2019 Volume 10, Issue 12, Page(s) 2764–2770

Abstract: Long noncoding RNAs (lncRNAs) are usually associated with tumor development and progression and some of them are dysregulated in various human cancers. The mechanisms underlying their dysregulation are worth further study. Here, we demonstrate that the ... ...

Abstract	Long noncoding RNAs (lncRNAs) are usually associated with tumor development and progression and some of them are dysregulated in various human cancers. The mechanisms underlying their dysregulation are worth further study. Here, we demonstrate that the expression level of LNC CRYBG3 is correlated with 1501 aberrantly expressed proteins in A549 cells (non-small cell lung cancer (NSCLC) cells). LNC CRYBG3 overexpression results in M phase arrest and promoted cell death, whereas LNC CRYBG3 knockdown did not elicit the opposite effects. The overexpression of LNC CRYBG3 inhibits cell proliferation both
Language	English
Publishing date	2019-06-02
Publishing country	Australia
Document type	Journal Article
ZDB-ID	2573318-7
ISSN	1837-9664
ISSN	1837-9664
DOI	10.7150/jca.31703
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Article: The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19

Zhou, Yingchu / Li, Bo / Liu, Jiyang / Chen, Dong

Can J Infect Dis Med Microbiol

Abstract: Objective: We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity. Method: We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment ... ...

Abstract	Objective: We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity. Method: We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment Center of Changsha from January 30, 2020, to February 19, 2020. According to the clinical classification of the disease, the patients were divided into severe and nonsevere groups. General clinical data and underlying medical conditions were recorded through the electronic medical record (EMR) system. Laboratory examination results of the patients during their hospitalization were collected, including the first results for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), peripheral blood lymphocyte ratio and count, and peripheral blood white blood cell (WBC) count. Univariate and multivariate logistic regression models were used to analyze the predictive effectiveness of blood biochemical indexes and other related factors for COVID-19 severity. Result: In all, 108 COVID-19 patients (median age: 43.9 years (range: 1-75); male patients: 56 (51.85%)) were enrolled, of whom 24 (22.22%) showed severe disease and 84 (77.78%) showed nonsevere disease, and two in 24 patients with severe disease developed into a critically severe type and died. Fever was the most common onset symptom (67.59%), followed by cough (48.15%) and fatigue (37.04%). Comorbidities were important factors affecting the severity of COVID-19, and among the patients with severe disease, the proportion with comorbidities was 70.83%, and the proportion without comorbidities was 29.17%. The intergroup difference was significant (P < 0.05). In patients with CRP levels (mg/L) of ≤8, >8-≤20, >20-≤40, and >40, the proportions of those with severe and nonsevere disease were 0 to 32, 7 to 19, 6 to 23, and 11 to 10, respectively; the intergroup difference was significant (P < 0.05). Conclusion: The presence or absence of comorbidities and CRP elevation were independent significant predictors of COVID-19 severity, and hypertension was found as the most common comorbidity in patients with severe disease.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #721224
Database	COVID19

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Article ; Online: The Predictive Effectiveness of Blood Biochemical Indexes for the Severity of COVID-19

Zhou, Yingchu / Li, Bo / Liu, Jiyang / Chen, Dong

The Canadian journal of infectious diseases & medical microbiology, 2020:7320813

2020

Abstract: OBJECTIVE: We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity. METHOD: We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment ... ...

Abstract	OBJECTIVE: We aimed to explore the predictive effectiveness of blood biochemical indexes for COVID-19 severity. METHOD: We retrospectively analyzed the clinical data of COVID-19 patients who were cured and discharged from the Public Health Treatment Center of Changsha from January 30, 2020, to February 19, 2020. According to the clinical classification of the disease, the patients were divided into severe and nonsevere groups. General clinical data and underlying medical conditions were recorded through the electronic medical record (EMR) system. Laboratory examination results of the patients during their hospitalization were collected, including the first results for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), peripheral blood lymphocyte ratio and count, and peripheral blood white blood cell (WBC) count. Univariate and multivariate logistic regression models were used to analyze the predictive effectiveness of blood biochemical indexes and other related factors for COVID-19 severity. RESULT: In all, 108 COVID-19 patients (median age: 43.9 years (range: 1–75); male patients: 56 (51.85%)) were enrolled, of whom 24 (22.22%) showed severe disease and 84 (77.78%) showed nonsevere disease, and two in 24 patients with severe disease developed into a critically severe type and died. Fever was the most common onset symptom (67.59%), followed by cough (48.15%) and fatigue (37.04%). Comorbidities were important factors affecting the severity of COVID-19, and among the patients with severe disease, the proportion with comorbidities was 70.83%, and the proportion without comorbidities was 29.17%. The intergroup difference was significant (P < 0.05). In patients with CRP levels (mg/L) of ≤8, >8–≤20, >20–≤40, and >40, the proportions of those with severe and nonsevere disease were 0 to 32, 7 to 19, 6 to 23, and 11 to 10, respectively; the intergroup difference was significant (P < 0.05) CONCLUSION: The presence or absence of comorbidities and CRP elevation were independent significant predictors of COVID-19 severity, and hypertension was found as the most common comorbidity in patients with severe disease.
Keywords	COVID-19 ; covid19
Language	English
Publishing country	de
Document type	Article ; Online
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