Objective To investigate the clinical prognostic value of the prognostic nutritional index (PNI) in patients with renal cell carcinoma (RCC) undergoing partial nephrectomy.Methods A retrospective analysis was conducted on the clinical data of RCC patients who underwent partial nephrectomy at our hospital during 2020 and 2024.The optimal cutoff value of PNI was determined based on the maximum Youden index from the receiver operating characteristic (ROC) curve.The clinicopathological characteristics, overall survival (OS), and progression-free survival (PFS) between patients with different PNI levels were compared.Cox regression analysis was used to explore the independent prognostic factors for RCC patients. Results Based on the ROC curve, the optimal cutoff value corresponding to the maximum Youden index was calculated to be 46.675, at which point the sensitivity was 65.3% and the specificity was 62.2%.Of the 815 patients included in the study, 293 (36.0%) patients had a PNI＜46.675.Cox regression analysis confirmed that preoperative PNI, tumor diameter, ISUP classification, and ECOG score were independent risk factors for postoperative OS in patients with RCC who underwent PN (P＜0.05).In addition, preoperative PNI, tumor diameter, ISUP classification and ECOG score were independent risk factors for postoperative PFS (P＜0.05).After covariates in the multivariable Cox regression model were adjusted, patients in the low PNI group demonstrated significantly shorter overall survival (HR=2.392, P＜0.001) and significantly poorer progression-free survival (HR=2.076, P＜0.001) compared to those in the high PNI group.Conclusion Preoperative PNI has significant clinical value in evaluating the prognosis of RCC patients undergoing partial nephrectomy.An elevated preoperative PNI is associated with a better prognosis.

ObjectiveTo investigate the clinical features of tumor-induced acute pancreatitis （TIAP）， to construct and validate a predictive model for TIAP， and to provide help for early identification in clinical practice. MethodsA retrospective analysis was performed for the clinical data of 3 051 patients with acute pancreatitis （AP） who were admitted to The First Affiliated Hospital of Xinjiang Medical University from January 2020 to January 2026， among whom there were 72 patients with TIAP. To reduce class imbalance， 216 patients with non-tumor-related AP （2 979 patients） were randomly selected as conventional group using sex-stratified sampling， resulting in a cohort of 288 patients， and this cohort was randomly divided into a training set with 201 patients and a test set with 87 patients at a ratio of 7∶3. The two groups were compared in terms of general information and laboratory markers. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test was used for comparison of categorical data between two groups. Recursive feature elimination and least absolute shrinkage and selection operator regression were used for screening of characteristic variables， and five machine learning models were constructed， i.e.， logistic regression model， random forest model， support vector machine model， extreme gradient boosting model， and light gradient boosting machine model. The receiver operating characteristic curve and the precision-recall curve were used to assess model performance； the calibration curve was used to assess goodness of fit； decision curve analysis was used to evaluate clinical applicability and practicality； Shapley additive explanations were used to assess model interpretability. ResultsIn the training set of 201 patients， there were 52 patients （25.9%） in the TIAP group， and in the test set of 87 patients， there were 20 patients （23.0%） in the TIAP group. Compared with the conventional group， the TIAP group had a significantly higher proportion of patients with pancreatic duct dilatation （χ²=79.474， P<0.05）， a significantly higher age （Z=-5.838， P<0.05）， and significantly lower levels of white blood cell count （Z=5.630， P<0.05）， amylase （Z=2.606， P<0.05）， hemoglobin （Z=5.038， P<0.05）， and neutrophil percentage （Z=5.269， P<0.05）， as well as a lower level of direct bilirubin （Z=0.936， P>0.05）. The five machine learning models constructed based on these seven variables had a certain predictive ability， among which the logistic regression model had the best performance in the test set， with an area under the curve of 0.893 （95% confidence interval： 0.821 — 0.953）， an average precision of 0.654 in the precision-recall curve， good calibration， and good clinical benefits based on the decision curve analysis. ConclusionThe predictive model for TIAP based on pancreatic duct dilatation， age， white blood cell count， amylase， hemoglobin， neutrophil percentage， and direct bilirubin shows good predictive performance and can provide important guidance for the early diagnosis of TIAP.

eIF3a is a N ⁶-methyladenosine (m⁶A) reader that regulates mRNA translation by recognizing m⁶A modifications of these mRNAs. It has been suggested that eIF3a may play an important role in regulating translation initiation via m⁶A during infection when canonical cap-dependent initiation is inhibited. However, the death of animal model studies impedes our understanding of the functional significance of eIF3a in immunity and regulation in vivo. In this study, we investigated the in vivo function of eIF3a using eIF3a knockout and knockdown mouse models and found that eIF3a deficiency resulted in splenic tissue structural disruption and multi-organ damage, which contributed to severe sepsis induced by Lipopolysaccharide (LPS). Ectopic eIF3a overexpression in the eIF3a knockdown mice rescued mice from LPS-induced severe sepsis. We further showed that eIF3a maintains a functional and healthy immune system by regulating B cell function and quantity through m⁶A modification of mRNAs. These findings unveil a novel mechanism underlying sepsis, implicating the pivotal role of B cells in this complex disease process regulated by eIF3a. Furthermore, eIF3a may be used to develop a potential strategy for treating sepsis.

Diabetic kidney disease(DKD)is one of the serious complications of diabetes.Ferroptosis causes pathological damage and is involved in the progression of DKD.How to inhibit ferroptosis and delay DKD is a new academic hotspot.The author's team further enriched and proposed the core pathogenesis theory of"internal heat induced disease"on the basis of the traditional DKD"yin deficiency and dryness-heat"theory,and explained the general development law of DKD.In this article,"internal heat"and"Zhengjia"in the theory of DKD"internal heat induced diseases"are used as the starting point to explore the relationship of the main pathological damage of ferroptosis such as activating inflammatory response,enhancing oxidative stress,promoting fibrosis and so on with the internal mechanism of the theory of"internal heat induced diseases",further explained the scientific connotation of DKD"internal heat induced diseases",in order to provide ideas and theoretical basis for the TCM prevention and treatment of DKD.

Biometric recognition technology has developed rapidly and highly integrated with clinical diagnostics,phenotypic genomics,genomics,and big data analytics,facilitating not only precise personal identification but also demonstrating significant potential in health maintenance,particularly for military personnel.Global research has increasingly focused on uncovering the complex associations between biometric traits and key health determinants,such as disease susceptibility,psychological states,and physiological functions,to further harness biometrics in proactive health management.This paper provided a comprehensive overview of the latest progress and emerging applications of biometric technology in healthcare and military medicine,aiming to offer a scientific reference supporting the strategic development of biometrics research,its application promotion,and population-wide health management enhancement.

Objective To identify candidate compounds that activate thermogenesis during cold exposure by integrating the Library of Integrated Network-Based Cellular Signatures(LINCS)with RNA expression profiles specific to cold-induced thermogenesis.Methods Gene expression profiles of interscapular brown adipose tissue(BAT)and inguinal white adipose tissue(iWAT)were generated from 8-week-old C57BL/6J mice which were housed at 5 ℃ or room temperature(23 ℃)for 7 days.The gene expression signatures of the cold-induced BAT and iWAT were compared to the LINCS dataset to predict potential candidates for testing in a cold challenge model that was intended to assess thermogenesis activation.The pharmacological potential of the identified compounds was evaluated in a cold-exposed mouse model.The core body temperature and infrared thermal imaging were collected to monitor physiological responses during cold exposure.Additionally,hematoxylin and eosin(HE)staining was used to assess morphological changes of fat cells of BAT,iWAT,and epididymal white adipose tissue(eWAT).Results The transcriptomic signatures related to cold-induced thermogenesis were obtained and the top 20 candidate compounds were identified by comparison with the LINCS dataset.Mice treated with withaferin A(WA)during the cold challenge exhibited elevated rectal temperatures and smaller adipocyte sizes compared to controls.Conclusion Our drug repurposing strategy,which connects transcriptional profiles with LINCS data,identifies potential compounds.WA enhances thermogenesis and metabolic activity in adipose tissue,which helps maintain body temperature,and improves cold tolerance during exposure to low temperatures.

This paper Summarizes the experience of national renowned Chinese medical practitioner professor YANG Jun in treating lumbar pain with acupuncture and moxibustion.In the view of professor YANG Jun,the etiology of lumbar pain is various and the pathogensis is complex,of which mainly related to be invaded by external pathogen,meridians obstructing blockage,kidney deficiency due to elderly,less of moistening due to kidney essence deficiency,sprain caused by fall and strike,and blood stasis obstructing meridians,and the syndrome differentiation of lumbar pain usually involves cold-damp obstructing blockage,kidney essence deficiency,and blood stasis blocking collaterals.The waist is the residence of kidney,kidney meridian runs through the spine and connecting it to the kidney,the bladder meridian locates on both sides of the spine and connecting it to the kidney,the circulation of governor vessel(GV)to the kidney,so the pathogensis of lumbar pain is closely related to kidney,bladder meridian,governor vessel.The basic pathogensis of lumbar pain is meridian qiand blood stasis stagnation,or the meridian less of moistening due to kidney essence deficiency,both of which cause pain.The main therapeutic principle for lumbar pain should be focusing on mind-regulating and meridians-dredging,cold-dispersing and damp-removing,kidney-boosting and blood-activating,as well as collateral-unblocking and pain-relieving,combining the lumbosacral spinal tri-needling,regulating the bladder meridian with moxibustion and electro-acupuncture,thus to achieve the optimal quantitative and effective state.

This paper introduces Professor Zhang Qingping's clinical experience in treating post-stroke spastic paralysis.In the view of Professor Zhang Qingping,the main pathogenesis of post-stroke spastic paralysis being deficiency of yang qiand malnutrition of meridian-sinew,such diseases can be treated from the perspective of sinew theory.Professor Zhang addressed importance to acupoints selection of yin meridians and therapeutic sequence,and skilled in applying superficial-skin needling and multi-direction needling,she also emphasizes on seizing the opportunity to treat disease and regulating body and mind simultaneously,and obtained certain clinical effects in the treatment of post-stroke spastic paralysis.

This article systematically summarizes the clinical experience of Professor Yang Jun,a nationally renowned traditional Chinese medicine(TCM)physician,in applying refined direct moxibustion(applying a moxibustion pen made by Chinese medical extract)to treat functional dyspepsia(FD)of the stuffiness-fullness type.Based on decades of clinical practice,Professor Yang innovatively established a moxibustion therapy system for FD,which centers on TCM syndrome differentiation and treatment.The system emphasizes the refined identification of epigastric stuffiness and fullness syndrome,particularly focusing on the relative significance of abdominal distension and poor appetite.Its therapeutic features lie in establishing the principle of"prioritizing mind regulation while holistically harmonizing body and spirit",combined with personalized moxibustion dosage control and a unique refined direct moxibustion technique.By optimizing the configuration of each step in moxibustion therapy,the system maximizes therapeutic efficacy,providing novel theoretical foundations and clinical strategies for moxibustion treatment of stuffiness-fullness type of FD.

This article introduces Professor Yang Jun's clinical experience in treating bronchial asthma using warming needle moxibustion via the governor vessel-unblocking and conception vessel-regulating method.Professor Yang posits that asthma pathogenesis-whether triggered by internal imbalances or external pathogens-ultimately stems from yin-yang disharmony leading to rebellious lung qi and impaired diffusion/descending functions.Thus,restoring dynamic yin-yang balance constitutes the core therapeutic principle.As the governor and conception vessels govern the body's yin-yang regulation,Professor Yang's decades of clinical practice substantiate that"harmonizing these vessels determines life's vitality".His protocol combines warming needle moxibustion with press needles to activate governor-conception vessel functions,achieving five therapeutic effects:(1)yin-yang harmonization,(2)qi movement regulation,(3)meridian unblocking,(4)visceral stabilization,and(5)pathogen elimination,demonstrating remarkable efficacy.