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Journal Article↗
Biomedical subjects
Kaixin Zhou
Publications and source records attributed to Kaixin Zhou.
Analysis of tuberculosis and multiple diseases as co-morbidities: a narrative review.
BACKGROUND: Tuberculosis (TB) remains the leading cause of death from infectious diseases worldwide, and its control is increasingly complicated by chronic comorbidities. Diabetes mellitus (DM), human immunodeficiency virus (HIV) infection, chronic obstructive pulmonary disease (COPD), and lung cancer (LC) substantially affect TB susceptibility, diagnosis, treatment, and prognosis. METHODS: This narrative review summarizes evidence on the interactions between TB and DM, HIV infection, COPD, and LC. Relevant literature was identified through PubMed, Web of Science, and World Health Organization publications, focusing on studies published between 2001 and 2025. Priority was given to peer-reviewed original studies and reviews addressing immune mechanisms, diagnosis, and treatment. RESULTS: DM increases TB risk by impairing innate and adaptive immunity and complicates prevention, diagnosis, and treatment. HIV-1 weakens antimycobacterial defense through lymphocyte depletion, macrophage dysfunction, granuloma instability, and immune exhaustion, markedly increasing susceptibility to active TB. TB and COPD mutually aggravate pulmonary inflammation, oxidative stress, and structural lung damage, contributing to poor respiratory outcomes. Mycobacterium tuberculosis(M.tb) infection may also be associated with LC development through chronic inflammation, oxidative stress-related genomic instability, and oncogenic signaling. Overall, these comorbidities increase diagnostic difficulty, therapeutic complexity, and the risk of adverse outcomes. CONCLUSIONS: TB associated comorbidities remain a major challenge to global TB control. Understanding these interactions may support bidirectional screening, risk stratification, and integrated management. Although these conditions share immune dysregulation, chronic inflammation, and oxidative stress, they differ in dominant mechanisms, diagnostic challenges, and treatment priorities. Future research should prioritize biomarker discovery, mechanistic clarification, and multilevel prevention and control strategies.
Humans↗
htSNPer1.0: software for haplotype block partition and htSNPs selection.
BACKGROUND: There is recently great interest in haplotype block structure and haplotype tagging SNPs (htSNPs) in the human genome for its implication on htSNPs-based association mapping strategy for complex disease. Different definitions have been used to characterize the haplotype block structure in the human genome, and several different performance criteria and algorithms have been suggested on htSNPs selection. RESULTS: A heuristic algorithm, generalized branch-and-bound algorithm, is applied to the searching of minimal set of haplotype tagging SNPs (htSNPs) according to different htSNPs performance criteria. We develop a software htSNPer1.0 to implement the algorithm, and integrate three htSNPs performance criteria and four haplotype block definitions for haplotype block partitioning. It is a software with powerful Graphical User Interface (GUI), which can be used to characterize the haplotype block structure and select htSNPs in the candidate gene or interested genomic regions. It can find the global optimization with only a fraction of the computing time consumed by exhaustive searching algorithm. CONCLUSION: htSNPer1.0 allows molecular geneticists to perform haplotype block analysis and htSNPs selection using different definitions and performance criteria. The software is a powerful tool for those focusing on association mapping based on strategy of haplotype block and htSNPs.
Algorithms↗
The effect of haplotype-block definitions on inference of haplotype-block structure and htSNPs selection.
It has been recently suggested that the human genome is organized as a series of haplotype blocks, and efforts to create a genome-wide haplotype map are already underway. Several computational algorithms have been proposed to partition the genome. However, little is known about their behaviors in relation to the haplotype-block partitioning and haplotype-tagging SNPs selection. Here, we present a systematic comparison of three classes of haplotype-block partition definitions, a diversity-based method, a linkage-disequilibrium (LD)-based method, and a recombination-based method. The data used were derived from a coalescent simulation under both a uniform recombination model and one that assumes recombination hotspots. There were considerable differences in haplotype information loss in the measure of entropy when the partition methods were compared under different population-genetics scenarios. Under both recombination models, the results from the LD-based definition and the recombination-based definition were more similar to each other than were the results from the diversity-based definition. This work demonstrates that when undertaking haplotype-based association mapping, the choice of haplotype-block definition and SNP selection requires careful consideration.
Algorithms↗
Identification of genetic variants in base excision repair pathway and their associations with risk of esophageal squamous cell carcinoma.
The etiology of esophageal squamous cell carcinoma (ESCC) has been shown to be associated with genetic and certain environmental factors that produce DNA damage. Base excision repair (BER) genes are responsible for repair of DNA damage caused by reactive oxygen species and other electrophiles and therefore are good candidate susceptibility genes for ESCC. We first screened eight BER genes for new and potential functional polymorphisms by resequencing 27 DNA samples. We then identified and genotyped for important tagging single nucleotide polymorphisms (SNPs) in a case-control study of 419 patients with newly diagnosed esophageal cancer and 480 healthy controls by frequency matching on age and sex. The association between genotypes and ESCC risk was estimated by unconditional multivariate logistic regression analysis, and stepwise regression procedure was used for constructing the final logistic regression model. We identified 129 SNPs in the eight BER genes, including 18 SNPs that cause amino acid changes. In the final model, 4 SNPs, including 2 in the coding regions (ADPRT Val762Ala and MBD4 Glu346Lys) and others in noncoding regions (LIG3 A3704G and XRCC1 T-77C), remained as significant predictors for the risk of ESCC. The adjusted odd ratios were 1.25 [95% confidence interval (CI) 1.02-1.53] for the ADPRT 762Ala allele, 1.25 (95% CI 1.02-1.53) for the MBD4 346 Lys allele, 0.78 (95% CI 0.63-0.97) for the LIG3 3704G allele, and 1.38 (95% CI 1.01-1.89) for the XRCC1-77C allele. In addition, we observed a significant gene-gene interaction between XRCC1 Gln399Arg and ADPRT Val762Ala. The results suggest that the polymorphisms in five BER genes may be associated with the susceptibility to ESCC in a Chinese population.
ADP Ribose Transferases↗
LDA--a java-based linkage disequilibrium analyzer.
UNLABELLED: We describe an integrated java-based program that provides elaborate graphic and plain-text output of pairwise linkage disequilibrium (LD) analysis of single nucleotide polymorphisms genotypic data. It is most suitable for molecular geneticists, who are focusing on LD measures estimation, statistical significance test and extent prediction. AVAILABILITY: The software is available at: http://www.chgb.org.cn/lda/lda.htm. SUPPLEMENTARY INFORMATION: Detailed tutorials, LDA help system and examples are distributed within LDA software. For Macintosh OS X user, the Jre version 1.4 can be downloaded from http://connect.apple.com.
Algorithms↗
Haplotype structure and evidence for positive selection at the human IL13 locus.
Interleukin-13 (IL13) is believed to play an important role in the pathogenesis of atopy and allergic asthma. To better understand genetic variation at the IL13 locus, we resequenced a 5.1-kb genomic region spanning the entire locus and identified 26 single-nucleotide polymorphisms (SNPs) in 74 individuals from three major populations-Chinese, Caucasian, and African. Our survey suggests exceptionally high and significant geographic structure at the IL13 locus between African and outside Africa populations. This unusual pattern suggests that positive selection that acts in some local populations may have played a role on the IL13 locus. In support of this suggestion, we found a significant excess of high frequency-derived SNPs in the Chinese population and Caucasian population, respectively, as expected after a recent episode of positive selection. Further, the unusual haplotype structure indicates that different scenarios of the action of positive selection on the IL13 locus in different populations may exist. In the Caucasian population, the skewed haplotype distribution dominated by one common haplotype supports the hypothesis of simple directional selection. Whereas, in the Chinese population, the two-round hitchhiking hypothesis may explain the skewed haplotype structure with three dominant ones. These findings may provide insight into the likely relative roles of selection and population history in establishing present-day variation at the IL13 locus, and, motivate further studies of this locus as an important candidate in common diseases association studies.
Asian People↗