Chronic fatigue syndrome (CFS) is a common problem in military maritime navigation, which greatly affects the safety of military missions. The use of animal models to carry out research on the mechanism of CFS and treatment measures is a common method. This paper systematically introduced the construction methods of CFS models such as single-factor and multi-factor models, summarized common evaluation indicators of CFS, including behavioral and biochemical indicators, and summed up key characteristics of CFS animal models in military oceanic navigation combined with common causes of CFS in military contexts, such as prolonged continuous work, high-intensity physical activity, sleep deprivation, psychological stress, and extreme environmental conditions. The key characteristics of the animal models included, but not limited to, chronic fatigue, sleep disorders, impaired cognitive function, psychological stress responses, and abnormal biochemical indicators. Furthermore, this article identified future research directions for CFS animal models in military oceanic navigation to enhance the application value of the models and provide robust support for the health protection and disease prevention of military personnel.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Fecal microbiota transplantation (FMT) technology originated in China during the Eastern Jin Dynasty and has rapidly developed over the past two decades, becoming a primary method for studying the causal relationship between gut microbiota and the occurrence and progression of diseases. At the same time, the therapeutic effects of FMT in the field of gastrointestinal diseases have gained widespread recognition and are gradually expanding into other disease areas. The FMT procedure is relatively complex, and there is currently no standardized method; its success is influenced by various factors, including the donor, recipient, processing of the fecal material, and the method of implantation. Given the increasingly recognized relationship between gut microbiota and various diseases, FMT has become a research hotspot in both scientific studies and clinical applications, achieving a series of significant advancements. To help researchers better understand this technology, this paper will outline the development history of FMT, summarize common operational methods in research and clinical settings, review its application progress, and look forward to future development directions.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Objective To investigate the incidence rate and location of rotational vertebral artery occlusion syndrome and its association with the symptoms of posterior circulation ischemia， the lesions of posterior circulation infarction， and newly-onset posterior circulation stroke. Methods A total of 283 patients who met the criteria were included， and the patients with positive results of neck rotation test and those with negative results were compared in terms of symptoms， imaging findings， and newly-onset posterior circulation stroke during follow-up. The chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups， with P<0.05 indicating statistical significance. Results Among the 283 patients enrolled， 23 （8.13%） met the diagnostic criteria for rotational vertebral artery occlusion syndrome. There was no significant difference in posterior circulation ischemic symptoms between the positive group and the negative group （P=0.089）， and compared with the negative group， the positive group had significantly higher numbers of posterior circulation infarcts at baseline and newly-onset cases of posterior circulation stroke during follow-up （P=0.010 and 0.009）. Conclusion Rotational vertebral artery occlusion syndrome significantly increases the risk of posterior circulation infarction.
Stroke

ObjectiveFunctional near-infrared spectroscopy (fNIRS), a novel non-invasive technique for monitoring cerebral activity, can be integrated with upper limb rehabilitation robots to facilitate the real-time assessment of neurological rehabilitation outcomes. The rehabilitation robot is designed with 3 training modes: passive, active, and resistance. Among these, the resistance mode has been demonstrated to yield superior rehabilitative outcomes for patients with a certain level of muscle strength. The control modes in the resistance mode can be categorized into dynamic and static control. However, the effects of different control modes in the resistance mode on the motor function of patients with upper limb hemiplegia in stroke remain unclear. Furthermore, the effects of force, an important parameter of different control modes, on the activation of brain regions have rarely been reported. This study investigates the effects of dynamic and static resistance modes under varying resistance levels on cerebral functional alterations during motor rehabilitation in post-stroke patients. MethodsA cohort of 20 stroke patients with upper limb dysfunction was enrolled in the study, completing preparatory adaptive training followed by 3 intensity-level tasks across 2 motor paradigms. The bilateral prefrontal cortices (PFC), bilateral primary motor cortices (M1), bilateral primary somatosensory cortices (S1), and bilateral premotor and supplementary motor cortices (PM) were examined in both the resting and motor training states. The lateralization index (LI), phase locking value (PLV), network metrics were employed to examine cortical activation patterns and topological properties of brain connectivity. ResultsThe data indicated that both dynamic and static modes resulted in significantly greater activation of the contralateral M1 area and the ipsilateral PM area when compared to the resting state. The static patterns demonstrated a more pronounced activation in the contralateral M1 in comparison to the dynamic patterns. The results of brain network analysis revealed significant differences between the dynamic and resting states in the contralateral PFC area and contralateral M1 area (F=4.709, P=0.038), as well as in the contralateral PM area and ipsilateral M1 area (F=4.218, P=0.049). Moreover, the findings indicated a positive correlation between the activation of the M1 region and the increase in force in the dynamic mode, which was reversed in the static mode. ConclusionBoth dynamic and static resistance training modes have been demonstrated to activate the corresponding brain functional regions. Dynamic resistance modes elicit greater oxygen changes and connectivity to the region of interest (ROI) than static resistance modes. Furthermore, the effects of increasing force differ between the two modes. In patients who have suffered a stroke, dynamic modes may have a more pronounced effect on the activation of exercise-related functional brain regions.

Objective: To explore the application and clinical efficacy of red blood cell therapeutic apheresis in erythropoietic protoporphyria (EPP) and hereditary hemochromatosis (HH). Methods: 1) The EPP patient was hospitalized twice for "abdominal pain, nausea, vomiting, and brown urine". One and two sessions of red blood cell exchange/therapeutic plasma exchange (RCE/TPE) were respectively performed during the two hospitalizations. During each session, one RCE with 6-8 units of leukoreduced RBCs and 3-4 TPE procedures with 1 800-2 000 mL of frozen plasma was conducted. Biochemical parameters were monitored before and after treatment. 2) The HH patient was hospitalized for “repeatedly elevated aminotransferases”. Erythrocytapheresis was performed once, removing 550 mL of red blood cells, and venous phlebotomy was conducted once every 2 months subsequently. Blood routine and ferritin levels were assessed before and after treatment. Results: 1) During the first hospitalization, the EPP patient was relieved of the abdominal pain and brown urine after therapeutic apheresis. The total bilirubin level decreased from 141.8 μmol/L on admission to 68.6 μmol/L at discharge, with a symptom remission duration of 10 months. During the second hospitalization, the EPP patient still had recurrent abdominal pain after therapeutic apheresis. He developed psychiatric symptoms and gastrointestinal bleeding subsequently, accompanied by elevated bilirubin levels. Liver function deteriorated and the patient went into the state of the end-stage liver disease (ESLD). 2) For the HH patient, the hemoglobin level prior to erythrocytapheresis and vein phlebotomy was 150-160 g/L, with the lowest value occurring two days after erythrocytapheresis, decreasing to 107 g/L. The ferritin level before erythrocytapheresis was 2 428.08 ng/mL and it declined gradually after theraphy, with the lowest value occurring two months after erythrocytapheresis, decreasing to 1 094 ng/mL. The ferritin level was 1 114 ng/mL two months following the first vein phlebotomy, however it increased to 1 472 ng/mL two months after the second vein phlebotomy. Conclusion: RCE/TPE may alleviate protoporphyrin liver disease and help patients with bridging liver transplantation before EPP developments to ESLD. For HH patients with significantly elevated ferritin levels, erythrocytapheresis reduces serum ferritin more quickly and maintains its level longer relative to phlebotomy.

Objective: To explore the application and clinical efficacy of red blood cell therapeutic apheresis in erythropoietic protoporphyria (EPP) and hereditary hemochromatosis (HH). Methods: 1) The EPP patient was hospitalized twice for "abdominal pain, nausea, vomiting, and brown urine". One and two sessions of red blood cell exchange/therapeutic plasma exchange (RCE/TPE) were respectively performed during the two hospitalizations. During each session, one RCE with 6-8 units of leukoreduced RBCs and 3-4 TPE procedures with 1 800-2 000 mL of frozen plasma was conducted. Biochemical parameters were monitored before and after treatment. 2) The HH patient was hospitalized for “repeatedly elevated aminotransferases”. Erythrocytapheresis was performed once, removing 550 mL of red blood cells, and venous phlebotomy was conducted once every 2 months subsequently. Blood routine and ferritin levels were assessed before and after treatment. Results: 1) During the first hospitalization, the EPP patient was relieved of the abdominal pain and brown urine after therapeutic apheresis. The total bilirubin level decreased from 141.8 μmol/L on admission to 68.6 μmol/L at discharge, with a symptom remission duration of 10 months. During the second hospitalization, the EPP patient still had recurrent abdominal pain after therapeutic apheresis. He developed psychiatric symptoms and gastrointestinal bleeding subsequently, accompanied by elevated bilirubin levels. Liver function deteriorated and the patient went into the state of the end-stage liver disease (ESLD). 2) For the HH patient, the hemoglobin level prior to erythrocytapheresis and vein phlebotomy was 150-160 g/L, with the lowest value occurring two days after erythrocytapheresis, decreasing to 107 g/L. The ferritin level before erythrocytapheresis was 2 428.08 ng/mL and it declined gradually after theraphy, with the lowest value occurring two months after erythrocytapheresis, decreasing to 1 094 ng/mL. The ferritin level was 1 114 ng/mL two months following the first vein phlebotomy, however it increased to 1 472 ng/mL two months after the second vein phlebotomy. Conclusion: RCE/TPE may alleviate protoporphyrin liver disease and help patients with bridging liver transplantation before EPP developments to ESLD. For HH patients with significantly elevated ferritin levels, erythrocytapheresis reduces serum ferritin more quickly and maintains its level longer relative to phlebotomy.