Objective: To assess the presence of vector-borne pathogens [including Zika virus (ZIKV), dengue virus (DENV), chikungunya virus (CHIKV), and Plasmodium (PLAS)] among voluntary blood donors in Wenshan Zhuang and Miao Autonomous Prefecture (referred to as Wenshan), so as to provide a basis for formulating blood safety-related strategies. Methods: Blood samples from voluntary blood donors in Wenshan from June to August 2022 to 2024 were selected. Real-time fluorescent quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to test 20 426 samples for ZIKV RNA, DENV RNA, and CHIKV RNA; and 19 765 samples were tested for PLAS DNA. Results: All 20 426 samples tested for ZIKV RNA, DENV RNA, and CHIKV RNA were negative; similarly, all 19 765 samples tested for PLAS DNA were negative. Conclusion: The risk of ZIKV, DENV, CHIKV, and PLAS infection among voluntary blood donors in Wenshan is relatively low. Routine surveillance for these pathogens as endemic diseases is not currently warranted. It is recommended to adjust the screening strategy based on the dynamic situation of local epidemiology control and prevention.

X-linked adrenoleukodystrophy(X-ALD) is an inherited progressive neurometabolic disorder caused by mutations in the ATP-binding cassette subfamily D member 1(ABCD1) gene. The encoded ALD protein dysfunction leads to the accumulation of very-long-chain fatty acids(VLCFA). X-ALD is classified according to its clinical characteristics into childhood cerebral ALD, adolescent cerebral ALD, adult cerebral ALD, adrenomyeloneuropathy(AMN), pure adrenocortical insufficiency, and an asymptomatic phenotype, all of which can present with a variety of neurologic manifestations. In this study, we retrospectively analyzed the clinical manifestations, laboratory findings, genetic test results, and follow-up data of four patients with X-ALD, and investigated the clinical features and pathogenicity of the identified gene mutations. All four patients initially presented with adrenocortical insufficiency(Addison′s disease) and received glucocorticoid replacement therapy. Subsequently, all developed neurologic signs and symptoms with rapid progression. The final diagnosis was confirmed based on elevated VLCFA levels, brain magnetic resonance imaging(MRI) findings, and genetic analysis. Notably, a deletion mutation in Exon 10 of the ABCD1 gene was identified in one case for the first time. We report four cases of X-ALD presenting with adrenocortical insufficiency as the initial symptom, and briefly review the relevant literature to analyze the relationship between linical phenotypes and genetic loci, aiming to provide a reference for early diagnosis and treatment of the disease, and to reduce the risk of misdiagnosis and missed diagnosis.

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.

Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

OBJECTIVE: To evaluate the early effectiveness of navigation-free robot-assisted total knee arthroplasty (TKA) compared to traditional TKA in the treatment of knee osteoarthritis combined with extra-articular deformities. METHODS: The clinical data of 30 patients with knee osteoarthritis combined with extra-articular deformities who met the selection criteria between June 2019 and January 2024 were retrospectively analyzed. Fifteen patients underwent CORI navigation-free robot-assisted TKA and intra-articular osteotomy (robot group) and 15 patients underwent traditional TKA and intra-articular osteotomy (traditional group). There was no significant difference in age, gender, body mass index, affected knee side, extra-articular deformity angle, deformity position, deformity type, and preoperative knee range of motion, American Knee Society (KSS) knee score and KSS function score, and lower limb alignment deviation between the two groups ( P>0.05). The operation time, intraoperative blood loss, and complications of the two groups were recorded and compared. The knee range of motion and lower limb alignment deviation were recorded before operation and at 6 months after operation, and the knee joint function was evaluated by KSS knee score and function score. RESULTS: There was no significant difference in operation time between the two groups ( P>0.05); the intraoperative blood loss in the robot group was significantly less than that in the traditional group ( P<0.05). Patients in both groups were followed up 6-12 months, with an average of 8.7 months. The incisions of all patients healed well, and there was no postoperative complication such as thrombosis or infection. At 6 months after operation, X-ray examination showed that the position of the prosthesis was good in both groups, and there was no loosening or dislocation of the prosthesis. The knee joint range of motion, the lower limb alignment deviation, and the KSS knee score and KSS function score significantly improved in both groups ( P<0.05) compared to preoperative ones. The changes of lower limb alignment deviation and KSS function score between pre- and post-operation in the robot group were significantly better than those in the traditional group ( P<0.05), while the changes of other indicators between pre- and post-operation in the two groups were not significant ( P>0.05). CONCLUSION Compared to traditional TKA, navigation-free robot-assisted TKA for knee osteoarthritis with extra-articular deformities results in less intraoperative blood loss, more precise reconstruction of lower limb alignment, and better early effectiveness. However, long-term effectiveness require further investigation.
Humans ; Arthroplasty, Replacement, Knee/methods* ; Osteoarthritis, Knee/surgery* ; Robotic Surgical Procedures/methods* ; Male ; Female ; Retrospective Studies ; Range of Motion, Articular ; Middle Aged ; Aged ; Treatment Outcome ; Osteotomy/methods* ; Knee Joint/physiopathology* ; Operative Time

Deep learning(DL)is a machine learning technique that emulates the human brain's functionality through multi-layered neural network models,enabling it to learn and extract features from data,thereby facilitating the automatic processing and learning of complex tasks.DL has achieved numerous significant breakthroughs in areas such as image recognition,speech recognition,and natural language processing,becoming one of the most promi-nent technologies in the field of artificial intelligence.With the rapid advancement of DL technology,its application in the medical field has yielded remarkable outcomes,offering new possibilities for the diagnosis and treatment of lumbar diseases.This review aims to elucidate the application and research progress of DL in diagnosing,planning surgeries,and predicting postoperative efficacy for lumbar spine diseases.

X-linked adrenoleukodystrophy(X-ALD) is an inherited progressive neurometabolic disorder caused by mutations in the ATP-binding cassette subfamily D member 1(ABCD1) gene. The encoded ALD protein dysfunction leads to the accumulation of very-long-chain fatty acids(VLCFA). X-ALD is classified according to its clinical characteristics into childhood cerebral ALD, adolescent cerebral ALD, adult cerebral ALD, adrenomyeloneuropathy(AMN), pure adrenocortical insufficiency, and an asymptomatic phenotype, all of which can present with a variety of neurologic manifestations. In this study, we retrospectively analyzed the clinical manifestations, laboratory findings, genetic test results, and follow-up data of four patients with X-ALD, and investigated the clinical features and pathogenicity of the identified gene mutations. All four patients initially presented with adrenocortical insufficiency(Addison′s disease) and received glucocorticoid replacement therapy. Subsequently, all developed neurologic signs and symptoms with rapid progression. The final diagnosis was confirmed based on elevated VLCFA levels, brain magnetic resonance imaging(MRI) findings, and genetic analysis. Notably, a deletion mutation in Exon 10 of the ABCD1 gene was identified in one case for the first time. We report four cases of X-ALD presenting with adrenocortical insufficiency as the initial symptom, and briefly review the relevant literature to analyze the relationship between linical phenotypes and genetic loci, aiming to provide a reference for early diagnosis and treatment of the disease, and to reduce the risk of misdiagnosis and missed diagnosis.

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.

Objective:To understand the current status of radiation protection in animal diagnosis and treatment institutions in Hubei province, identify the problems present in current condition, provide suggestions for standardized pet radiation practice, so as to ensure the health of staff and the public.Methods:A thorough survey was conducted for all animal diagnosis and treatment institutions in Hubei province. The stratified random sampling method was used for 167 animal diagnosis and treatment institutions of 16 cities by using of questionnaire survey. The survey contents mainly included basic situation of the animal diagnosis and treatment institutions, the management of radiation protection, the personnel′s job exposure situation, the management of radiation workers, etc. Totally 68 of them were selected by cluster sampling for the detection of radiation levels outside the machine rooms.Results:73.83% of these institutions had the behavior that the animal owners participated in and assisted in the in-room operation. Personal dose monitoring rate was 61.68%, occupational health examination rate was 72.46%, and training rate on radiation protection knowledge was 70.06%. Of these 68 institutions, 89.71% had met radiation protection standard in their machine rooms.Conclusions:There are deficiencies in the radiation workplace and personnel management of animal institutions in Hubei province. The animal diagnosis and treatment institutions should strengthen the learning of radiation protection knowledge, enhance the health management and training of personnel. Relevant departments should make the radiation protection ability of the industry to be higher by improving the relevant standards and strengthening publicity and regulatory control.

Mineralocorticoid receptor(MR) overactivation plays an important role in the development and progression of diabetic kidney disease(DKD) by mediating pro-inflammatory and pro-fibrotic processes, making it a key therapeutic target for DKD. Finerenone, a third-generation, highly selective, novel nonsteroidal mineralocorticoid receptor antagonist(MRA), mitigates MR overactivation through anti-inflammatory and anti-fibrotic effects and by improving the immune-inflammatory environment. This significantly reduces cardiovascular and renal composite endpoints in patients with type 2 diabetes mellitus(T2DM) and chronic kidney disease(CKD), and improve cardiorenal outcomes. Based on its novel molecular structure, Finerenone exhibits a lower incidence of adverse effects compared to the previous MRAs. This article elucidates the molecular structure and pathophysiological role of MR, and explores the molecular mechanisms through which finerenone provides cardiorenal benefits. It also discusses the advantages and safety of finerenone compared to first- and second-generation MRAs from a molecular structure perspective, providing evidence for its clinical application.