1.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
2.A Study of a New Variation of α-1,3-Galactosyltransferase Gene in Pedigrees
Wen WU ; Xin-Ping ZHANG ; Xiang-Yan HUANG
Journal of Experimental Hematology 2025;33(6):1769-1773
Objective:To investigate the association between genetic variation sites and blood group phenotypes in a family with the ABw subtype.Methods:A 22-year-old male proband and six family members who underwent health examinations at the Department of Transfusion Medicine,960th Hospital of the PLA Joint Logistics Support Force on April 8,2023 were enrolled.ABO blood group phenotyping of the proband and family members was performed using the tube method.Direct sequencing of PCR products covering the ABO gene promoter region,intron 1,and exons 1-7 was conducted for the proband and family members.Clonal sequencing of exons 6 and 7 was performed for the proband.Results:The serological phenotype of the proband was identified as ABw.Direct sequencing of PCR products revealed that the proband's ABO gene promoter region contained two variants(c.-105G>C and c.-106G>C),intron 1 contained the variant c.28+5708G>A,and exon 6 contained the variant c.255C>T.Blood group genotype of the proband was ABO*A1.02/ABO*B with the c.255C>T variant.Family analysis showed that the proband's mother,brother,elder niece,and younger niece also carried the c.255C>T variant in exon 6.The proband's mother had variants c.-105G>C and c.-106G>C in the promoter region,c.28+6127T>C and c.28+6154A>G in the intron region,with a genotype of ABO*O.01.01/ABO*B and the c.255C>T variant.The proband's brother,elder niece,and younger niece exhibited no promoter region abnormalities but carried variants c.28+6272C>T,c.28+6173A>G,c.28+6284T>C,and c.28+6297A>T in intron 1.The brother's genotype was ABO*A1.02/ABO*B with c.255C>T,the elder niece's genotype was ABO*B.01/ABO*B with c.255C>T,and the younger niece's genotype was ABO*O.01.01/ABO*B with c.255C>T.The proband's father had a genotype of ABO*A1.02/ABO*A1.02,and the sister-in-law's genotype was ABO*O.01.01/ABO*B.01.Conclusion:The c.255C>T variant in exon 6 of the ABO blood group B allele(α-1,3-galactosyltransferase gene)exhibits hereditary characteristics and exerts a negative regulatory effect on glycosyltransferase activity to a certain extent.
3.Analysis of risk factors for brucellar spondylitis
Na-na ZHAO ; Mei-gang ZHANG ; Xiang-lei CHEN ; Li ZHAO ; Cui-ping WU
Chinese Journal of Zoonoses 2025;41(3):284-289
The aim of this study was to investigate the risk factors for brucellar spondylitis.Electronic medical record data for patients with brucellosis at Yidu Central Hospital in Weifang City were retrospectively collected from January 2018 to April 2024,including general data,clinical characteristics,and laboratory examinations.The patients were divided into a spinal in-volvement group and a no spinal involvement group.The risk factors for brucellar spondylitis were determined through multi-factorial logistic regression model analysis.Of the 124 patients with brucellosis,59 had brucellar spondylitis,and 65 had bru-cellosis alone.There were more patients with age ≥55 years(x2=17.71),time from onset to diagnosis ≥30 days(x2=26.17),and low back pain(x2=52.71)in the spinal involvement group than in the group without spinal involvement,and the difference was statistically significant(all P<0.001);there were more patients with headaches in the group without spinal in-volvement than in the group with spinal involvement,and the difference was statistically significant(x2=8.34,P<0.05).and there were more patients in the spinal involvement group with neutrophil percent(NEU%)(t=2.94),platelet count(PLT)(t=122.00),blood sedimentation rate(ESR)(Z=-6.74),C-reactive protein(CRP)(Z=-5.74),and interleukin-6(IL-6)(Z=-2.08)were higher in the spine-involved group than in the group without spine-involvement,and the differences were all statistically significant(all P<0.05);Lactate dehydrogenase was significantly lower in the spine-involved group(LDH)than the group without spinal involvement(t=-2.04,P<0.042).A multifactorial logistic regression analysis indicated that a du-ration of out-of-hospital symptoms ≥30 days(OR=6.265,95%CI 1.181-33.241),symptoms of low back pain(OR=14.885,95%CI 3.144-70.472),elevated PLT(OR=1.013,95%CI 1.004-1.023),and elevated ESR(OR=1.053,95%CI 1.008-1.100)were risk factors for brucellar spondylitis(all P<0.05).The optimal cut-off values for ROC analysis were PLT>278.5 ×109/L(sensitivity 89.2%,specificity 59.3%)and ESR>16.5 mm/h(sensitivity 69.2%,specificity of 86.4%);using both PLT and ESR for diagnosis yielded an AUROC of 0.891(95%CI 0.831-0.950),a sensitivity of 86.2%,and a specificity of 84.7%.When patients with brucellosis present with symptoms of low back pain,a time from onset to diagnosis of ≥30 days,and markedly elevated ESR and PLT,lumbar magnetic resonance examination is recommended to rule out brucellar spondylitis,to enable early diagnosis and timely treatment,improve patient prognosis,shorten illness duration,and improve patient quality of life.
4.Research progress on rat model of chronic thromboembolic pulmonary hypertension
Xuekai LIU ; Xiang ZHONG ; Juanjuan ZHANG ; Xiaolong SUN ; Pan WU ; Zhenchuan PANG ; Ping XIE
Acta Laboratorium Animalis Scientia Sinica 2025;33(10):1531-1538
Chronic thromboembolic pulmonary hypertension(CTEPH)is a severe form of pulmonary hypertension(PH),and is classified as the fourth major category of pulmonary arterial hypertension.CTEPH is primarily caused by chronic thrombosis,leading to the obstruction of blood flow in the pulmonary arteries and result ing in a sustained increase in pulmonary artery pressure.The unclear pathogenesis of CTEPH,however,means that its early diagnosis is challenging,treatment options are limited,and prognosis assessment is often inaccurate.In-depth research into these mechanisms will thus improve our understanding of the pathophysiological processes of CTEPH,and also provide a theoretical basis for developing new therapeutic strategies.This review focuses on the current method of establishing CTEPH rat models and their advantages and disadvantages,offering researchers a reference for selecting and constructing CTEPH rat models.
5.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
6.Severity Assessment Parameters and Diagnostic Technologies of Obstructive Sleep Apnea
Zhuo-Zhi FU ; Ya-Cen WU ; Mei-Xi LI ; Ping-Ping YIN ; Hai-Jun LIN ; Fu ZHANG ; Yu-Xiang YANG
Progress in Biochemistry and Biophysics 2025;52(1):147-161
Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO2), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO2 plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.
7.Analysis of risk factors for brucellar spondylitis
Na-na ZHAO ; Mei-gang ZHANG ; Xiang-lei CHEN ; Li ZHAO ; Cui-ping WU
Chinese Journal of Zoonoses 2025;41(3):284-289
The aim of this study was to investigate the risk factors for brucellar spondylitis.Electronic medical record data for patients with brucellosis at Yidu Central Hospital in Weifang City were retrospectively collected from January 2018 to April 2024,including general data,clinical characteristics,and laboratory examinations.The patients were divided into a spinal in-volvement group and a no spinal involvement group.The risk factors for brucellar spondylitis were determined through multi-factorial logistic regression model analysis.Of the 124 patients with brucellosis,59 had brucellar spondylitis,and 65 had bru-cellosis alone.There were more patients with age ≥55 years(x2=17.71),time from onset to diagnosis ≥30 days(x2=26.17),and low back pain(x2=52.71)in the spinal involvement group than in the group without spinal involvement,and the difference was statistically significant(all P<0.001);there were more patients with headaches in the group without spinal in-volvement than in the group with spinal involvement,and the difference was statistically significant(x2=8.34,P<0.05).and there were more patients in the spinal involvement group with neutrophil percent(NEU%)(t=2.94),platelet count(PLT)(t=122.00),blood sedimentation rate(ESR)(Z=-6.74),C-reactive protein(CRP)(Z=-5.74),and interleukin-6(IL-6)(Z=-2.08)were higher in the spine-involved group than in the group without spine-involvement,and the differences were all statistically significant(all P<0.05);Lactate dehydrogenase was significantly lower in the spine-involved group(LDH)than the group without spinal involvement(t=-2.04,P<0.042).A multifactorial logistic regression analysis indicated that a du-ration of out-of-hospital symptoms ≥30 days(OR=6.265,95%CI 1.181-33.241),symptoms of low back pain(OR=14.885,95%CI 3.144-70.472),elevated PLT(OR=1.013,95%CI 1.004-1.023),and elevated ESR(OR=1.053,95%CI 1.008-1.100)were risk factors for brucellar spondylitis(all P<0.05).The optimal cut-off values for ROC analysis were PLT>278.5 ×109/L(sensitivity 89.2%,specificity 59.3%)and ESR>16.5 mm/h(sensitivity 69.2%,specificity of 86.4%);using both PLT and ESR for diagnosis yielded an AUROC of 0.891(95%CI 0.831-0.950),a sensitivity of 86.2%,and a specificity of 84.7%.When patients with brucellosis present with symptoms of low back pain,a time from onset to diagnosis of ≥30 days,and markedly elevated ESR and PLT,lumbar magnetic resonance examination is recommended to rule out brucellar spondylitis,to enable early diagnosis and timely treatment,improve patient prognosis,shorten illness duration,and improve patient quality of life.
8.UPLC-Q-TOF-MS combined with network pharmacology reveals effect and mechanism of Gentianella turkestanorum total extract in ameliorating non-alcoholic steatohepatitis.
Wu DAI ; Dong-Xuan ZHENG ; Ruo-Yu GENG ; Li-Mei WEN ; Bo-Wei JU ; Qiang HOU ; Ya-Li GUO ; Xiang GAO ; Jun-Ping HU ; Jian-Hua YANG
China Journal of Chinese Materia Medica 2025;50(7):1938-1948
This study aims to reveal the effect and mechanism of Gentianella turkestanorum total extract(GTI) in ameliorating non-alcoholic steatohepatitis(NASH). UPLC-Q-TOF-MS was employed to identify the chemical components in GTI. SwissTarget-Prediction, GeneCards, OMIM, and TTD were utilized to screen the targets of GTI components and NASH. The common targets shared by GTI components and NASH were filtered through the STRING database and Cytoscape 3.9.0 to identify core targets, followed by GO and KEGG enrichment analysis. AutoDock was used for molecular docking of key components with core targets. A mouse model of NASH was established with a methionine-choline-deficient high-fat diet. A 4-week drug intervention was conducted, during which mouse weight was monitored, and the liver-to-brain ratio was measured at the end. Hematoxylin-eosin staining, Sirius red staining, and oil red O staining were employed to observe the pathological changes in the liver tissue. The levels of various biomarkers, including aspartate aminotransferase(AST), alanine aminotransferase(ALT), hydroxyproline(HYP), total cholesterol(TC), triglycerides(TG), low-density lipoprotein cholesterol(LDL-C), high-density lipoprotein cholesterol(HDL-C), malondialdehyde(MDA), superoxide dismutase(SOD), and glutathione(GSH), in the serum and liver tissue were determined. RT-qPCR was conducted to measure the mRNA levels of interleukin 1β(IL-1β), interleukin 6(IL-6), tumor necrosis factor α(TNF-α), collagen type I α1 chain(COL1A1), and α-smooth muscle actin(α-SMA). Western blotting was conducted to determine the protein levels of IL-1β, IL-6, TNF-α, and potential drug targets identified through network pharmacology. UPLC-Q-TOF/MS identified 581 chemical components of GTI, and 534 targets of GTI and 1 157 targets of NASH were screened out. The topological analysis of the common targets shared by GTI and NASH identified core targets such as IL-1β, IL-6, protein kinase B(AKT), TNF, and peroxisome proliferator activated receptor gamma(PPARG). GO and KEGG analyses indicated that the ameliorating effect of GTI on NASH was related to inflammatory responses and the phosphoinositide 3-kinase(PI3K)/AKT pathway. The staining results demonstrated that GTI ameliorated hepatocyte vacuolation, swelling, ballooning, and lipid accumulation in NASH mice. Compared with the model group, high doses of GTI reduced the AST, ALT, HYP, TC, and TG levels(P<0.01) while increasing the HDL-C, SOD, and GSH levels(P<0.01). RT-qPCR results showed that GTI down-regulated the mRNA levels of IL-1β, IL-6, TNF-α, COL1A1, and α-SMA(P<0.01). Western blot results indicated that GTI down-regulated the protein levels of IL-1β, IL-6, TNF-α, phosphorylated PI3K(p-PI3K), phosphorylated AKT(p-AKT), phosphorylated inhibitor of nuclear factor kappa B alpha(p-IκBα), and nuclear factor kappa B(NF-κB)(P<0.01). In summary, GTI ameliorates inflammation, dyslipidemia, and oxidative stress associated with NASH by regulating the PI3K/AKT/NF-κB signaling pathway.
Animals
;
Non-alcoholic Fatty Liver Disease/genetics*
;
Mice
;
Network Pharmacology
;
Male
;
Drugs, Chinese Herbal/administration & dosage*
;
Chromatography, High Pressure Liquid
;
Liver/metabolism*
;
Mice, Inbred C57BL
;
Humans
;
Mass Spectrometry
;
Tumor Necrosis Factor-alpha/metabolism*
;
Disease Models, Animal
;
Molecular Docking Simulation
9.Study of adsorption of coated aldehyde oxy-starch on the indexes of renal failure
Qian WU ; Cai-fen WANG ; Ning-ning PENG ; Qin NIE ; Tian-fu LI ; Jian-yu LIU ; Xiang-yi SONG ; Jian LIU ; Su-ping WU ; Ji-wen ZHANG ; Li-xin SUN
Acta Pharmaceutica Sinica 2025;60(2):498-505
The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure
10.A Study of a New Variation of α-1,3-Galactosyltransferase Gene in Pedigrees
Wen WU ; Xin-Ping ZHANG ; Xiang-Yan HUANG
Journal of Experimental Hematology 2025;33(6):1769-1773
Objective:To investigate the association between genetic variation sites and blood group phenotypes in a family with the ABw subtype.Methods:A 22-year-old male proband and six family members who underwent health examinations at the Department of Transfusion Medicine,960th Hospital of the PLA Joint Logistics Support Force on April 8,2023 were enrolled.ABO blood group phenotyping of the proband and family members was performed using the tube method.Direct sequencing of PCR products covering the ABO gene promoter region,intron 1,and exons 1-7 was conducted for the proband and family members.Clonal sequencing of exons 6 and 7 was performed for the proband.Results:The serological phenotype of the proband was identified as ABw.Direct sequencing of PCR products revealed that the proband's ABO gene promoter region contained two variants(c.-105G>C and c.-106G>C),intron 1 contained the variant c.28+5708G>A,and exon 6 contained the variant c.255C>T.Blood group genotype of the proband was ABO*A1.02/ABO*B with the c.255C>T variant.Family analysis showed that the proband's mother,brother,elder niece,and younger niece also carried the c.255C>T variant in exon 6.The proband's mother had variants c.-105G>C and c.-106G>C in the promoter region,c.28+6127T>C and c.28+6154A>G in the intron region,with a genotype of ABO*O.01.01/ABO*B and the c.255C>T variant.The proband's brother,elder niece,and younger niece exhibited no promoter region abnormalities but carried variants c.28+6272C>T,c.28+6173A>G,c.28+6284T>C,and c.28+6297A>T in intron 1.The brother's genotype was ABO*A1.02/ABO*B with c.255C>T,the elder niece's genotype was ABO*B.01/ABO*B with c.255C>T,and the younger niece's genotype was ABO*O.01.01/ABO*B with c.255C>T.The proband's father had a genotype of ABO*A1.02/ABO*A1.02,and the sister-in-law's genotype was ABO*O.01.01/ABO*B.01.Conclusion:The c.255C>T variant in exon 6 of the ABO blood group B allele(α-1,3-galactosyltransferase gene)exhibits hereditary characteristics and exerts a negative regulatory effect on glycosyltransferase activity to a certain extent.

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